Skip to Main Content
Purpose

Though Brand trust is essential, there are minimal studies into its prediction. This study considers modern slavery perception as a predictor, while having price and quality as moderators in its model.

Design/methodology/approach

Cross-sectional survey design and convenience sampling were employed. A sample of 643 respondents was selected for the study, and the analysis was done using structural equation model.

Findings

Modern slavery perception (MSP) impacted customer satisfaction positively. Modern slavery impacted brand trust negatively, however, it was insignificant. Among all moderations, product price proved a significant moderator to modern slavery perception and brand trust relationship. Customer satisfaction (CS) fully mediated the relationship between modern slavery perception and brand trust.

Research limitations/implications

This study did not examine the reason behind the moderation direction, significance or insignificance in some relationships. Further studies can exploit this area.

Practical implications

In this age of elevated information accessibility, having the right reputation (especially in modern slavery context) would do the company a lot of good in its pursuit of customer satisfaction. The study equally reveals to managers that the perception of customers on modern slavery can negatively affect brand trust directly; however, it is positive indirectly.

Originality/value

The study provides the first insight into modern slavery perception and brand trust, directly and/or indirectly. This is also a first empirical test on the moderating roles of product price and quality on modern slavery perception and brand trust.

Brand trust is a continuous concern for academics and practitioners. Studies have explicitly and implicitly emphasized the pivotal role of brand trust in organisations (Bhandari and Rodgers, 2018; Hanaysha, 2022; Azhar et al., 2023; Armawan et al., 2023). That said, studies that examine models to explain brand trust are minimal (Mal et al., 2018), and there is a need for more predictive studies on brand trust (Wongsansukcharoen, 2022; Sohaib and Han, 2023; Lefkeli et al., 2024). In the contemporary business world, there is a desire to push beyond the regular threshold measurements of a good product. Nowadays, consumers are more aware and interested in information (environmental pollution and modern slavery information) that traditionally did not matter in influencing customers’ trust in a brand (Han et al., 2024). This has reshaped what company executives call important.

Since the start of the 21st century, the focus has been on supply chain modern slavery (Stringer et al., 2016), and management practitioners and researchers have been keen on the labour aspect of supply chain modern slavery (Stevenson and Cole, 2018; Benstead et al., 2018; Alzoubi et al., 2023; Han et al., 2024). Modern slavery is a major discussion in humanities studies (Christ and Burritt, 2018), and it is touted as the most comprehensive and expansive organised crime of the 21st century (Crane, 2013) due to its global spread (Han et al., 2024). Slave labour is mostly found along the supply chains of manufacturing firms, hence, the concept of supply chain modern slavery. Supply chain modern slavery is predominant in the non-technological aspect of the supply chain across a large range of industries, including garment and textile, fisheries, cocoa, and jewellery, among others (Bales and Trodd, 2013; Sokat and Altay, 2023). Due to a paucity of studies that empirically test a model of brand trust, involving modern slavery or its perception as a predictor, this study plots itself into the literature gap to empirically test the effect of modern slavery perception on customer satisfaction and brand trust. The study intends to provide empirical data to manufacturers on the possible effect of modern slavery perception.

The resource-based view (RBV) theory is a relevant management theory because of its relevance to several concepts and how they are tethered to other concepts in management. At the core of the theory, it posits that a firm is a function of its resources (Barney, 1991). Irrespective of how well a firm identifies opportunities, its resources determine if the opportunity can be exploited or vice versa (Wernerfelt, 1984). First mentioned in 1984 by Birger Wernefelt, the RBV theory advices that firms must create a unique competence that will deliver a competitive advantage. A competitive advantage is conferred the adjective of sustainable when several efforts to replicate it have failed (Rumelt, 1984).

The RBV theory is relevant to this study because in the world of resources, having a favourable perception, good product quality and competitive price are all resources that aid a firm in unlocking potential opportunities and achieving different outcomes, including brand trust. The theory directly supports MSP, product quality and price, and brand trust dynamics, as it emphasizes that having the right resources like product quality and price can help influence customer satisfaction and brand trust. This implies that any organisation that its customers believe is concerned about the welfare of its supply chain employees and strives to remove modern slavery from its supply chain will gain an intangible resource which can metamorphose into brand trust.

Another theory relevant to this study is the system theory. This theory was introduced into management literature by Kenneth Boulding in 1956 (Boulding, 1956). The theory establishes that every firm must conduct its analysis of activities and performance in a wider spectrum, factoring in the external environment activities (Mele et al., 2010). Aristotle, being the founding father of this chain of thought, opines that the effect and impact of coming together can never be equal to doing things exclusively (Bertalanffy, 1972). This highlights that system theory can be internalised as well as applied from the external view of the firm. The complexities in relationships, both on the internal front between departments and among firms, are best explained from the holistic view, and this is where system theory slots (Cordon, 2013).

The system theory is appropriate because it emphasizes understanding activities outside the direct control of the firm that can affect the firm positively or adversely. Modern slavery in supply chains is practically beyond the focal firm’s operational functions, yet, it could harm the organisation negatively through supporting negative perceptions. The theory directly tethers the relationship between modern slavery perception and brand trust as well as customer satisfaction. Emphasizing how activities outside the firm can affect direct performance outcomes of the firm. It highlights how the relationship between a firm and seemingly unrelated employees of firms in its supply chain down the line can affect the way customers see the firm and the brand in total. The system theory helps the researcher connect the dots among all concepts used in this study, as it highlights how the satisfaction a customer experiences may be tilted towards the positive or negative, depending on the reports on how the firm responds to modern slavery. And how that satisfaction, or its absence, will affect the trust in such brands.

2.2.1 Modern slavery perception (MSP)

Modern slavery can be broadly divided into two sections, that is, trafficking and sexual exploitation, and labour exploitation (Jiang et al., 2023; Shankley, 2023; Yu et al., 2025). That said, this study focuses on the labour aspect of modern slavery in supply chains, usually referred to as supply chain modern slavery. Gold et al. (2015) define supply chain modern slavery as the exploitation of employee(s) through deprivation of their basic liberty anywhere across the supply chain between the raw material stages to the consumer stage. This study describes supply chain modern slavery as a condition where a worker along the supply chain of a firm is deprived of any control over their decision towards work.

In 2018, 40.3 million persons were modern slaves, and 61.7% were enshrined in labour-related slavery (Global Slavery Index, 2018). This highlights the extent of issues in labour slavery across supply chains, as well as propel a corresponding interest of researches within the labour facet of modern slavery (Crane, 2013; Gold et al., 2015; New, 2015; Christ and Burritt, 2018; Benstead et al., 2021; Jiang et al., 2023; Yu et al., 2025).

Modern slavery as a management strategy is tailored towards reducing the wages paid to employees or labour (LeBaron, 2015) and unfortunately, some of these practices have been institutionalised (Sokat and Altay, 2023; Hobbs, 2024; Olayiwola, 2024). Seemingly, modern slavery in supply chains is overlooked by the multi-national focal manufacturing firms because of capitalism (Stringer et al., 2016; Stringer and Michailova, 2018; De Vries, 2019; Boersma and Nolan, 2022). While there is an obvious effort of focal firms to minimise modern slavery (Sokat and Altay, 2023), multi-national firms cannot be left to tackle this menace, being the beneficiaries. It will require pressure from other stakeholders. That brings the question of how much interest customers have in all this. Does modern slavery activity even influence their opinion of brands at all? Especially if the firms in question are providing customers with products at the quality they want, and at the price they want.

2.2.2 Product price (PP)

It is said that the first thing considered in the hearts of customers is the price (Stevenson, 2015). Price is a major determinant and continues to remain an attraction (or vice-versa) to products around the world (Liu et al., 2022). It is described as the value a manufacturer or service provider places as the exchange for its product/service (Kotler and Armstrong, 2005; Belch and Belch, 2005) and is also seen as the amount in monetary terms that must be forgone to obtain a product (Foster, 2016). The customer perception of the price and its fairness to the value of the product is crucial for customers to develop purchase intentions (Razak et al., 2016; Khowjoy et al., 2023). That said, a scenario to be tested is if the price is right for the customer and modern slavery activities are found in the supply chain of the producer, how would the customer react? Bearing in mind that the tendency of the raw materials to be free of modern slavery is low. Will this information affect the trust in the brand?

2.2.3 Product quality (PQ)

The quality of products is always under scrutiny, especially from customers and government agencies. The unexpected rise in product recalls globally (Consumer Product Safety Commission, 2010) is also a testament to the fact that many products have fallen short of quality standards. Though the mainstream news focuses on big brands and market leaders, product quality dip is evident across multi-nationals and local firms. While product quality may vary in definition among scholars and individuals (De Giovanni and Zaccour, 2023), it is largely agreed that it should be described from the customer’s perspective (Zeithaml, 1988). Therefore, for this study, product quality will be seen as the alignment of product performance with customer product expectations (Stevenson, 2015). Being a major consideration for customers (Stevenson, 2002), it is only logical to agree with Lekhanya and Dlamini (2017) that product quality may have the capacity to influence customer perception of a brand. That said, it is important to understand how product quality interacts with other strong perceptions (Rai et al., 2023), as in this case, modern slavery perceptions that customers may experience in these contemporary times of endless information.

2.2.4 Customer satisfaction (CS)

For the business, the need to satisfy customers is non-negotiable. It is the implementation of the philosophy that the customer is king; therefore, managing their pleasure with the organisation’s product equates to matching value to the expectations of customers (Nobar and Rostamzadeh, 2018). It is a post-consumption evaluation by the consumer that measures performance with expectations (Giese and Cote, 2000; Udofia, 2019). There are several needs for understanding customer satisfaction and its influencers. It is easy to evaluate the financial performance of the firm, but it is not easy to evaluate the satisfaction levels of the customers. This is why extra effort is required to understand and maintain the satisfactory levels of the customers. Customer satisfaction serves as an established non-financial measurement of firm performance and the basis for the firm’s perception, goodwill and brand power (Wikhamn, 2019). Though it is a highly subjective process because it anchors on several individual parameters and preferences (Udofia et al., 2021), it remains a major target for organisations as they compete for market share growth and or customer loyalty. Literature posits that customer satisfaction is essential to the firm because it has the potential to drive loyalty (Shirmer et al., 2018).

2.2.5 Brand trust (BT)

Identification of a product or service has led to distinguishing the producing firm. The achievement of favourable brand perception is a must-have for organisations, and all strategies applicable to delivering this goal are always considered. Brand trust can be described as a scenario where the end user is confident of the product’s reliability and performance (Morgan and Hunt, 1994). The critical position of a brand name and its capacity to influence customer evaluation cannot be overemphasised in the era of maximum information dissemination. The power of a brand precedes product quality in some cases and can confer a resource pivotal to competitive advantage (Zboja and Voorhees, 2006). Brand trust is much talked about; however, it is bewildering that its literature is still in its infancy in comparison to other research concerns in the field of operations management and marketing (Delgado-Ballester and Munuera-Aleman, 2005).

Most transactions are evidence of a level of brand trust (Hosseini and Behboudi, 2017) because the level of trust customers have in a brand is reflected in their belief in the product quality and reliability (Chih-Chung et al., 2012). Brand trust is so important; it proves relevant for online and offline businesses (Hahn and Kim, 2009), this is because it serves as a critical ingredient for attaining loyalty from customers toward the brand (Matzler et al., 2008). In consumer behaviour literature, some studies support the notion that brand trust pacifies the uncertainties associated with the brand’s product (Chaudhuri and Holbrook, 2001; Power et al., 2008). This stems from literature that says that risk and uncertainties are reduced by maintaining a credible product quality (Erdem et al., 2006). Brand trust will remain an important concept in business circles because of its numerous advantages and companies will continually strive to attain it. Literature posits that measurement constructs of brand trust are in debate (Ruparelia et al., 2010); that said, this study adapts brand trust measurements from the study of Power et al. (2008) and Hegner and Jevons (2016). They are predictable in a brand’s product quality, trust in the organisation’s competence, the benevolence of the brand, and trust in the organisation’s integrity.

There is a growing interest in contemporary literature on brand perception, how they are perceived and the possible impact of these perceptions on the firm (Wei et al., 2017; Kapoor and Banerjee, 2021; Gabriella et al., 2021; Tong et al., 2023). The impact of negative brand publicity is a growing research interest and it is very broad (Liu et al., 2018; Yu et al., 2019). This study particularly tests an aspect of negative brand publicity that is rarely tested. That is, supply chain modern slavery news and perception of the customer on brand trust. According to Mal et al. (2018), there are minimal empirical studies that test a model on brand trust, making it imperative that models on brand trust be tested empirically. In addition, researches on the subject of brand trust are mostly domiciled in business environments that are not Western African (Thaler et al., 2018; Tong et al., 2023). This suggests the need for a study on brand trust in West African countries, e.g. the Nigerian business environment. This study intends to fill that gap.

A comprehensive literature review on managing how brands are perceived and consumer reaction posits that there is a paucity of studies in this area (Kapoor and Banerjee, 2021). A study by Li and Sun (2022) is among the very few sustainability scandal-related studies on brand trust. It established that the environmental sustainability crisis hurt brand trust and called for more studies to examine other facets of sustainability. This study examines the social sustainability aspects of the firm and how they relate to brand trust. In multidisciplinary research of operations management and marketing, customer satisfaction as a dependent variable has been empirically tested by several predictors including sustainable practices, total quality management, service failure and recovery, product innovation, and product quality (Hess et al., 2003; Tsiotsou, 2006; Udofia, 2019; Wikhamn, 2019), however, there is no study that tests if modern slavery perception can predict customer satisfaction. This stems from interviews reported by Mal et al. (2018), where even in cases where the company engages in outsourcing, customers expect that the employees of the partners are the concern of the focal firm. In other words, cases of modern slavery and the like should not be seen within the supply chain of a focal firm (Benstead et al., 2018), as this could affect customer perception of the brand, not to mention heavy fines by the government. If negative news of how a focal firm approaches maltreatment of employees of supply chain partner(s) breaks, does it affect customer satisfaction, and/or the trust in such a brand? According to Sokat and Altay (2023), allegations of modern slavery negatively impact performance operationally. Thus, it is expected that brand trust should be affected negatively before it is reflected in firms’ performance outcomes. Based on this discussion, the researcher tests if modern slavery perception by customers can affect customer satisfaction and brand trust.

H1.

Modern slavery perception has a significant effect on customer satisfaction.

H2.

Modern slavery perception has a significant effect on brand trust.

According to Stevenson (2002), price and quality tops every customer’s concern. Though the study of Mal et al. (2018) highlights the role of product price and product review generally to brand trust and customer purchase intentions, as well as reiterates that price and product quality are top concerns for customers. The literature gap however becomes apparent when confronted with the information on how these companies treat issues of their partner firms, specifically, employees of supply chain members, and how this information processing affects the satisfaction of customers. That is, irrespective of prior knowledge of top-notch product quality (being the first concern). For instance, if a customer of the focal firm in the United Kingdom, whose needs are well cared for, finds out about modern slavery, specifically, child labour in an African developing nation manufacturing partner, does it moderate the impact of how the customer feels toward the product? Does such information reduce the satisfaction derived from the product. There is a need for empirical quantitative studies into this relationship.

Han et al. (2024) emphasized that a large portion of firms do not comply with slavery acts in their countries, and they are not penalised. Thus, consumers must lead the fight against slavery if there would be any. The study also called for future studies to focus on factors that would make consumers reluctant towards calling out businesses found guilty, e.g. product quality and price. Boersma and Nolan (2022) and Shankley (2023) argued that poverty has a way of eroding one’s ability to question certain activities. This was echoed by Hobbs (2024) who alluded that the poor only think of survival and could not afford the luxury of caring about supply chain modern slaves, which they were themselves. Thus, the price/affordability of the product comes first, nothing else comes in second to the poor (Shankley, 2023; Hobbs, 2024; Olayiwola, 2024). This begs the question of how much influence price and quality have on reactions to brand transgressions. Aw and Labrecque (2023) already established in their research that the celebrity power of endorsed celebrities moderates the negative responses of customers to brand unethical practices. The study however encouraged more studies to test if other factors like product quality and price can moderate customer response to brand unethical practices like modern slavery. Contemporary literature supports the need for future studies to investigate the role of quality and price in modern slavery allegations (Olayiwola, 2024; Hobbs, 2024), citing the lack of outrage at some modern slavery whistle blowing cases that had become public knowledge (Olayiwola, 2024; Hobbs, 2024), they argue that it is possible that having the right price may moderate customer reaction to it, and inevitably brant trust.

Stringer et al. (2022) called for more studies into how pricing influences the backlash firms involved in modern slavery should get. They allude to the seemingly acceptance of modern slavery by consumers, provided it will result in the lowest prices for them. Thus, there is a need to investigate the moderating capacity of price in the relationship between modern slavery and brand trust. Relatedly, Hayran and Ceylan (2023) investigated how negative brand action information affected brand trust. The study affirmed that negative brand action significantly and negatively affected brand trust, especially in cases where the product quality was compromised. In other words, the product was the major consideration for how consumers reacted to trust in the brand. It is possible if the product upheld expected quality and performance, brand trust would be less likely reduced. The study encouraged more studies into understanding these dynamics. In a related study, Khowjoy et al. (2023) tested value (seen as product characteristics) on satisfaction and trust, and found both to be positive and significant. Building on that, this study is testing product characteristics as a moderator on satisfaction and trust with modern slavery perception as the independent variable. From the Nigerian front, Nigeria is one of the countries with the most estimated modern slaves in supply chains (Global Slavery Index, 2023), and synthesizing these scholarly works, the researchers are driven to query into how price and quality matters in a largely poor country like Nigeria. Specifically, the study seeks to investigate if product price and or quality can moderate the relationship between MSP and customer satisfaction. As well as the role of product price and quality in the MSP/brand trust interaction. In addition, the indirect relationship between modern slavery perception and brand trust has not been empirically tested in prior literature Han et al. (2024). Also emphasized by Han et al. (2024) is the possible negative response from customers when they perceive unethical practices by firms lack evidence in the literature because it is untested empirically in Sub-Saharan African business environments. Existing literature has driven the researchers to formulate the following hypotheses:

H3.

Product price has a significant moderating effect on the relationship between modern slavery perception and customer satisfaction.

H4.

Product price has a significant moderating effect on the relationship between modern slavery perception and brand trust.

H5.

Product quality has a significant moderating effect on the relationship between modern slavery perception and customer satisfaction.

H6.

Product quality has a significant moderating effect on the relationship between modern slavery perception and brand trust.

H7.

Modern slavery perception has a significant indirect effect on brand trust through customer satisfaction.

All the hypotheses of the study are incorporated into the conceptual model (Figure 1).

Figure 1
A model shows links among Modern Slavery Perception, Product Price, Product Quality, Customer Satisfaction, and Brand Trust.The model starts with a rectangle on the left labeled “M S P,” which connects with an upper-right arrow to the rectangle labeled “C S” positioned in the top center. A bottom right arrow from “C S” connects to the rectangle labeled “B T” positioned on the bottom right. A direct horizontal arrow also connects “M S P” to “B T.” Two bottom arrows emerge from the rectangle labeled “P P” positioned at the top center left, one pointing to the arrow connecting “M S P” to “C S,” and other points to the arrow connecting “M S P” to “B T.” Two upward arrows emerge from the rectangle labeled “P Q” positioned at the bottom center left, one pointing to the arrow connecting “M S P” to “C S,” and other points to the arrow connecting “M S P” to “B T.”

Conceptual framework of all variables in the study. MSP: Modern Slavery Perception. PP: Product Price. PQ: Product Quality. CS: Customer Satisfaction. BT: Brand Trust. Source: Authors, 2024

Figure 1
A model shows links among Modern Slavery Perception, Product Price, Product Quality, Customer Satisfaction, and Brand Trust.The model starts with a rectangle on the left labeled “M S P,” which connects with an upper-right arrow to the rectangle labeled “C S” positioned in the top center. A bottom right arrow from “C S” connects to the rectangle labeled “B T” positioned on the bottom right. A direct horizontal arrow also connects “M S P” to “B T.” Two bottom arrows emerge from the rectangle labeled “P P” positioned at the top center left, one pointing to the arrow connecting “M S P” to “C S,” and other points to the arrow connecting “M S P” to “B T.” Two upward arrows emerge from the rectangle labeled “P Q” positioned at the bottom center left, one pointing to the arrow connecting “M S P” to “C S,” and other points to the arrow connecting “M S P” to “B T.”

Conceptual framework of all variables in the study. MSP: Modern Slavery Perception. PP: Product Price. PQ: Product Quality. CS: Customer Satisfaction. BT: Brand Trust. Source: Authors, 2024

Close modal

 

The study adopts a descriptive research design, specifically, the cross-sectional survey approach. Population is infinite; made up of consumers of the top products that have modern slavery in their supply chains (electronics, garment/apparel, palm oil, fish and sugarcane), as reported in the Global Slavery Index (2018, 2023). To derive the appropriate sample size for an infinite population size and an unknown population proportion, the Cochran (1977) sample size determination was employed to derive 384 respondents as the minimum appropriate sample size. A selection criterion was employed in isolating respondents to only online shoppers on a shopping website. In the rationale of the researchers, this approach helped in accurately selecting respondents who were actual customers of the products in focus. The sampling technique was convenience sampling and it is a technique best implemented when random sampling may not be suited. It allowed the researcher to survey respondents who are willing and available for participation in the study.

The approach to respondents' selection was done similarly to prior studies in corporate brand trust, e.g. Ho (2014), and Chen and Cheng (2020). The service of a highly trafficked online selling platform was contracted to help distribute the online survey to customers who patronised products of interest to this study. This was done in anticipation of their assured 99% accuracy in selecting customers from the purchase pattern online. After a 7-month contract period (February 2024–August 2024), 643 customers were surveyed to fill out the questionnaire and all responses were fit for use and considered in the analysis.

The research instrument for the study was a structured questionnaire that measured modern slavery perception (New, 2015; Christ and Burritt, 2018), customer satisfaction (Lee et al., 2017; Chavez et al., 2016), product quality (Kianpour et al., 2014) product price (Herrmann et al., 2007) and brand trust (Delgado-Ballester, 2004). A total of 25 items, 5 items per variable, were incorporated into the research instrument. See Table 1 for further breakdown of the research instrument. Validation conducted on the research instrument was content validation, done by two industry experts with a speciality in supply chain and marketing. Reliability was conducted with the Cronbach Alpha test, and all variables were above the required threshold, thus, a reliable instrument. Analysis of the data was done with the use of the Amos–Structural Equation Model version 23.

Table 1

Items and sources

S/NConstruct measurement itemSource
 Supply Chain Modern Slavery PerceptionNew (2015), Christ and Burritt (2018) 
1In my opinion, there is forced labour along the supply chain of the product
2From my research, workers of the suppliers for this product continue to work out of fear
3I have heard news of child labour along the supply chain of the product
4There is a significant wage disparity between what suppliers pay employees and the focal firm’s hourly wage
5The employee working conditions of some supply chain members are terrible, with little or no room for freedom of movement
 Product PriceHerrmann et al. (2007) 
6The price of the product is appropriate relative to its performance
7The price of the product meets my expectations
8Irrespective of customers’ class price is constant
9I think the price of the product is based on its cost
10The terms and conditions of the product are fair
 Product QualityKianpour et al. (2014) 
11I buy the product because its performance matches the expectation
12I buy the products because the company is ISO certified
13I buy the products because of consistent performance
14I buy the product because it can function optimally with some damage
15I buy products that can be easily repaired
 Customer SatisfactionLee et al. (2017), Chavez et al. (2016) 
16I am happy with the product performance
17The prompt delivery of the product is impressive
18Based on my experiences with the product, I will recommend it
19I remain loyal to the company product
20Product price is satisfactory, considering the product quality
 Brand TrustDelgado-Ballester (2004) 
21The company has a brand name that meets my expectations
22I feel confident in the brand name
23I believe the brand guarantees my satisfaction
24There is obvious sincerity in dealing with my complaint of product malfunction
25I feel I can rely on the brand name to solve any problem that will increase my satisfaction
Source(s): Literature review, 2023

The measurement model was assessed by conducting a series of tests. The multivariate normality, multicollinearity, unidimensionality, positive definiteness, and confirmatory factor analysis. The Malhalanobis range for the data set was 5.460 and 107.846, and the critical value was 86.66. Thus, a deselection of two responses with Malhalanobis greater than 86.88 was done. Multicollinearity was assessed by the Tolerance and Variance Inflation Factor (VIF) values. It was appropriate because the tolerance values were above 0.2 and VIF values were below 5. The reliability of the data set was tested according to variables and the model fit was assessed. Results show that reliability and model fit for each variable were good, as displayed in Table 2. That is, reliability scores, using the Cronbach Alpha test, were all above 0.70 and observed model fit indices were above 0.900. Model fit indices used were the normed fit index (NFI), the goodness of fit (GFI), and the comparative fit index (CFI). In addition to these, the root mean square residual (RMR), composite reliability (CR) and average variance extracted (AVE) were also used in assessing the model fit for the constructs, and all were within range. RMR values below 0.08 and AVE and CR values above 0.5 and 0.7 respectively, are adequate (Hair et al., 1998).

Table 2

Construct assessment

ConstructItemsFactor loadingCFIGFIRMRNFIpCronbach αAVECR
Modern Slavery Perception (MSP)MSP10.7710.9700.9420.0640.9170.0310.7650.5300.848
MSP20.613        
MSP30.738        
MSP40.847        
MSP50.648        
Product Price (PP)PP10.6950.9650.9700.0470.9510.0670.7860.5160.840
PP20.830        
PP30.596        
PP40.741        
PP50.709        
Product Quality (PQ)PQ10.7940.9400.9590.0440.9240.0230.7820.5040.834
PQ20.555        
PQ30.725        
PQ40.778        
PQ50.673        
Customer Satisfaction (CS)CS10.7010.9670.9270.0630.9330.0547130.5280.847
CS20.717        
CS30.669        
CS40.827        
CS50.708        
Brand Trust (BT)BT10.7430.9640.9600.0360.9530.0440.8510.5440.855
BT20.671        
BT30.774        
BT40.855        
BT50.623        
Source(s): Field Survey, 2024

Positive definiteness was tested by running a factor analysis with consideration for matching factors to extract and the number of variables, being 6. The rotation was set as varimax and suppression of coefficients less than 0.30. The determinant value was 3.330, the Kaiser-Meyer-Olkin (KMO) value was 0.855, and Bartlett’s test of sphericity (BTS) significance was 0.000. A determinant value above 0, and a significant KMO value above 0.5 is appropriate (Hair et al., 1998; Lowry and Gaskin, 2014). Discriminant validity was tested by comparing the squared correlation values of the variables against the square roots AVE values, and Table 3 reveals that no squared corelation was above the square root AVE values for the variable.

Table 3

Discriminant Validity–Construct squared correlation and squared root AVE values

ConstructsMeanSDMSPPPPQCSBT
MSP4.3630.7470.728    
PP4.2000.8250.308**0.718   
PQ4.2110.7270.416**0.542**0.710  
CS4.6760.6150.250**0.598**0.584**0.727 
BT4.0040.6960.198**0.546**0.428*0.626**0.738

Note(s): ** ≤ 0.01 significant value and * ≤ 0.05 significant value

Italic diagonal figures are the squared root AVE values

Source(s): Field Survey, 2024

The online survey was contracted to an online platform with a duration of 25 weeks. At the end of the contractual duration, the survey had 643 responses, and all were useable because the survey was designed to mandate a response to a statement before proceeding to the next, in addition, each statement could only accept one option. Thus, eliminating unusable forms. The distribution of the respondents’ bio-data is reported below. Table 4 shows a detailed breakdown of the bio-data of the respondents.

Table 4

Bio-data of respondents

FrequencyPercent
GenderMale34954.4
Female29445.6
Total643100
Age18–2917827.7
30–3926841.7
40–4914222.1
50–59558.5
Total643100
Professional FieldOperations and Supply Chain Management4907.62
Marketing and Sales7111.04
Medicine and Surgery1902.96
Law3204.98
Other Sciences11818.35
Psychology4206.53
Engineering6209.64
Consulting3104.82
Accounting and Finance6910.73
Music and Arts9114.15
Academic3805.90
Others2103.27
Total643100
Work ExperienceUnder 10 years6230.7
10–20 years10652.5
Above 20 years3416.8
Total643100
Source(s): Field Survey, 2024

4.2.1 Hypotheses testing

The results of all hypotheses tested in the study are reported and displayed in Table 5 and Figure 2 respectively.

Figure 2
A model shows relationships among M S P, P Q, P P, C S, and B T with labeled paths and statistical values.The model starts with a rectangle on the left labeled “M S P” which connects with an upper right arrow labeled “Ho 1: R equals 0.626, Beta equals 0.447, p equals 0.000, t equals 5.472” to “C S” positioned at the top center. A horizontal arrow from “M S P” points right to “B T” labeled “H o 2; R equals negative 0.198, beta equals negative 0.019, p equals 0.792, t equals negative 0.263.” A bottom right arrow connects “C S” to “B T.” Two dashed lines connect the arrow linking “M S P” to “C S” and the arrow linking “C S” to “B T,” joining at the top of the “C S” box and labeled “H o 7: beta equals 0.134, p equals 0.002, t equals 2.696, L L C I equals 0.052, U L C I equals 0.337.” A rectangle labeled “P Q” is positioned at the bottom left, with two upward arrows, one pointing to the arrow connecting “M S P” to “B T” and another pointing to the arrow connecting “M S P” to “C S.” Both the arrows labeled “H o 5: R equals negative 0.391, beta equals 0.015, p equals 0.817, t equals negative 0.231,” and “H o 6; R equals 0.292, beta equals 0.127, p equals 0.070, t equals 1.812.” A rectangle labeled “P P” is positioned at the bottom right, with two upward arrows, one pointing to the arrow connecting “M S P” to “BT” and another pointing to the arrow connecting “M S P” to “C S.” Both the arrows labeled “H o 3; R equals negative 0.292, p equals 0.003, p equals 0.973, t equals negative 0.234,” and “H o 4; R equals 0.391, beta equals 0.194, p equals 0.002, t equals 3.070.” At the bottom of the diagram, a text “C F I equals 0.943, G F I equals 970, R M R equals 0.028, N F I equals 0.968, I F I equals 0.904, p equals 0.047” is shown.

Relationships result among modern slavery perception, customer satisfaction and brand trust. Source: Field Survey, 2024

Figure 2
A model shows relationships among M S P, P Q, P P, C S, and B T with labeled paths and statistical values.The model starts with a rectangle on the left labeled “M S P” which connects with an upper right arrow labeled “Ho 1: R equals 0.626, Beta equals 0.447, p equals 0.000, t equals 5.472” to “C S” positioned at the top center. A horizontal arrow from “M S P” points right to “B T” labeled “H o 2; R equals negative 0.198, beta equals negative 0.019, p equals 0.792, t equals negative 0.263.” A bottom right arrow connects “C S” to “B T.” Two dashed lines connect the arrow linking “M S P” to “C S” and the arrow linking “C S” to “B T,” joining at the top of the “C S” box and labeled “H o 7: beta equals 0.134, p equals 0.002, t equals 2.696, L L C I equals 0.052, U L C I equals 0.337.” A rectangle labeled “P Q” is positioned at the bottom left, with two upward arrows, one pointing to the arrow connecting “M S P” to “B T” and another pointing to the arrow connecting “M S P” to “C S.” Both the arrows labeled “H o 5: R equals negative 0.391, beta equals 0.015, p equals 0.817, t equals negative 0.231,” and “H o 6; R equals 0.292, beta equals 0.127, p equals 0.070, t equals 1.812.” A rectangle labeled “P P” is positioned at the bottom right, with two upward arrows, one pointing to the arrow connecting “M S P” to “BT” and another pointing to the arrow connecting “M S P” to “C S.” Both the arrows labeled “H o 3; R equals negative 0.292, p equals 0.003, p equals 0.973, t equals negative 0.234,” and “H o 4; R equals 0.391, beta equals 0.194, p equals 0.002, t equals 3.070.” At the bottom of the diagram, a text “C F I equals 0.943, G F I equals 970, R M R equals 0.028, N F I equals 0.968, I F I equals 0.904, p equals 0.047” is shown.

Relationships result among modern slavery perception, customer satisfaction and brand trust. Source: Field Survey, 2024

Close modal
Table 5

Hypotheses result

HypothesisPathStandardised
Coefficient β
Lower
Bound
Upper boundp-valuet-valuesResult
H1MSP-CS0.447  0.0005.472Supported
H2MSP-BT0.019  0.792−0.263Not
Supported
H3MSP-CS/PP*0.009  0.9730.034Not
Supported
H4MSP-BT/PP*0.194  0.0023.070Supported
H5MSP-CS/PQ*0.015  0.817−0.231Not Supported
H6MSP-BT/PQ*0.127  0.0701.812Not supported
H7MSP-CS-BT0.1340.0520.3370.0022.696Supported/Full mediation
Source(s): Researcher, 2024

Hypothesis 1 investigated how modern slavery perception has a significant effect on customer satisfaction. The result showed that modern slavery perception had a direct and positive effect on customer satisfaction. This is revealed in the coefficient (β) of 0.447, t-value of 5.472 and p-value of 000. Hypothesis 2 tested the direct effect of modern slavery perception on brand trust. Findings revealed that the effect was negative and insignificant (β = 0.019, p-value = 0.792, t-value = −0.263).

Hypothesis 3 tested the product price moderating effect on the relationship between modern slavery perception and customer satisfaction. The result showed that product price did not mediate the relationship significantly (β = 0.003, p = 0.973, t = −0.234). In addition, a slope analysis was conducted. The slope revealed that there was very minimal (or no) influence on the steepness of the slope either at high or low moderation levels, see Figure 3.

Figure 3
A graph shows the effect of price on M-Slavery and customer satisfaction with linear trend lines.The horizontal axis represents “M-Slavery,” with two labeled points from left to right, “Low M-Slavery” and “High M-Slavery.” The vertical axis represents “Customer Satisfaction,” ranging from 1.0 to 5.0 in increments of 0.5. Two lines are plotted, a blue diamond-marked line overlapped by a black line for “Low Price” and a red square-marked line overlapped by a black line for “High Price.” The blue line for “Low Price” starts from approximately (Low M-Slavery, 2.50) and ends at (High M-Slavery, 2.65) and has a slightly positive slope with the equation labeled “y equals 0.1232 x plus 2.3971.” The red line for “High Price” starts from approximately (Low M-Slavery, 3.40) and ends at (High M-Slavery, 3.45) and has a slightly positive slope with the equation labeled “y equals 0.146 x plus 3.1991.” A legend labeled “Moderator” on the right side shows that the blue diamond-marked line indicates “Low Price” and the red square-marked line indicates “High Price,” the bold black line indicates “Linear (Low Price)” and the black line indicates “Linear (High Price).” Note: All numerical data values are approximated.

Modern slavery perception and customer satisfaction, with price moderator. Source: Field Survey, 2024

Figure 3
A graph shows the effect of price on M-Slavery and customer satisfaction with linear trend lines.The horizontal axis represents “M-Slavery,” with two labeled points from left to right, “Low M-Slavery” and “High M-Slavery.” The vertical axis represents “Customer Satisfaction,” ranging from 1.0 to 5.0 in increments of 0.5. Two lines are plotted, a blue diamond-marked line overlapped by a black line for “Low Price” and a red square-marked line overlapped by a black line for “High Price.” The blue line for “Low Price” starts from approximately (Low M-Slavery, 2.50) and ends at (High M-Slavery, 2.65) and has a slightly positive slope with the equation labeled “y equals 0.1232 x plus 2.3971.” The red line for “High Price” starts from approximately (Low M-Slavery, 3.40) and ends at (High M-Slavery, 3.45) and has a slightly positive slope with the equation labeled “y equals 0.146 x plus 3.1991.” A legend labeled “Moderator” on the right side shows that the blue diamond-marked line indicates “Low Price” and the red square-marked line indicates “High Price,” the bold black line indicates “Linear (Low Price)” and the black line indicates “Linear (High Price).” Note: All numerical data values are approximated.

Modern slavery perception and customer satisfaction, with price moderator. Source: Field Survey, 2024

Close modal

Hypothesis 4 investigated the product price moderating capacity on the relationship between modern slavery perception and brand trust. The result (β = 0.194, p = 0.002, t = 3.070) highlights that the effect was positive and significant. A simple slope analysis also revealed that the direction of the slope was strengthened positively as the price changed from low to high, thus, corroborating that the price moderates the relationship between modern slavery perception and brand trust, see Figure 4.

Figure 4
A line graph shows the effect of price on M-Slavery and brand.The horizontal axis represents “M-Slavery,” with two labeled points from left to right, “Low M-Slavery” and “High M-Slavery.” The vertical axis represents “Brand Trust,” ranging from 1.0 to 5.0 in increments of 0.5. Two lines are plotted, a blue diamond-marked line overlapped by a black line for “Low Price” and a red square-marked line by a black line for “High Price.” The blue line for “Low Price” starts from approximately (Low M-Slavery, 2.50) and ends at (High M-Slavery, 2.35) and has a slightly negative slope with the equation labeled “y equals negative 0.156x plus 2.722.” The red line for “High Price” starts from approximately (Low M-Slavery, 3.20) and ends at (High M-Slavery, 3.75) and has a slightly positive slope with the equation labeled “y equals 0.62x plus 2.582.” A legend labeled “Moderator” on the right side shows that the blue diamond-marked line indicates “Low Price” and the red square-marked line indicates “High Price,” the bold black line indicates “Linear (Low Price)” and the black line indicates “Linear (High Price).” Note: All numerical data values are approximated.

Modern slavery perception and brand trust, with price moderator. Source: Field Survey, 2024

Figure 4
A line graph shows the effect of price on M-Slavery and brand.The horizontal axis represents “M-Slavery,” with two labeled points from left to right, “Low M-Slavery” and “High M-Slavery.” The vertical axis represents “Brand Trust,” ranging from 1.0 to 5.0 in increments of 0.5. Two lines are plotted, a blue diamond-marked line overlapped by a black line for “Low Price” and a red square-marked line by a black line for “High Price.” The blue line for “Low Price” starts from approximately (Low M-Slavery, 2.50) and ends at (High M-Slavery, 2.35) and has a slightly negative slope with the equation labeled “y equals negative 0.156x plus 2.722.” The red line for “High Price” starts from approximately (Low M-Slavery, 3.20) and ends at (High M-Slavery, 3.75) and has a slightly positive slope with the equation labeled “y equals 0.62x plus 2.582.” A legend labeled “Moderator” on the right side shows that the blue diamond-marked line indicates “Low Price” and the red square-marked line indicates “High Price,” the bold black line indicates “Linear (Low Price)” and the black line indicates “Linear (High Price).” Note: All numerical data values are approximated.

Modern slavery perception and brand trust, with price moderator. Source: Field Survey, 2024

Close modal

Hypothesis 5 tested product quality’s moderating capacity between modern slavery perception and customer satisfaction. Results (β = −0.015, p = 0.817, t = −0.231) highlighted that though there is a negative moderation on the relationship, the moderation is insignificant. The simple slope analysis showed that the relationship between modern slavery perception and customer satisfaction weakened as product quality increased to high product quality, see Figure 5.

Figure 5
A graph shows the effect of product quality on M-Slavery and customer satisfaction.The horizontal axis represents “M-Slavery,” with two labeled points from left to right, “Low M-Slavery” and “High M-Slavery.” The vertical axis represents “Customer Satisfaction,” ranging from 1.0 to 5.0 in increments of 0.5 units. A legend labeled “Moderator” on the right side indicates that the graph plots two lines. The blue line with diamond markers represents “Low Product Quality,” and the red line with square markers represents “High Product Quality.” The blue line for “Low Price” starts from approximately (Low M-Slavery, 2.40) and ends at (High M-Slavery, 2.50) and has a slightly positive slope with the equation labeled “y equals 0.0656 x plus 2.3871.” The red line for “High Price” starts from approximately (Low M-Slavery, 3.45) and ends at (High M-Slavery, 3.50) and has a slightly positive slope with the equation labeled “y equals 0.0104 x plus 3.4989.” Note: All numerical data values are approximated.

Modern slavery perception and customer satisfaction, with product quality moderator. Source: Field Survey, 2024

Figure 5
A graph shows the effect of product quality on M-Slavery and customer satisfaction.The horizontal axis represents “M-Slavery,” with two labeled points from left to right, “Low M-Slavery” and “High M-Slavery.” The vertical axis represents “Customer Satisfaction,” ranging from 1.0 to 5.0 in increments of 0.5 units. A legend labeled “Moderator” on the right side indicates that the graph plots two lines. The blue line with diamond markers represents “Low Product Quality,” and the red line with square markers represents “High Product Quality.” The blue line for “Low Price” starts from approximately (Low M-Slavery, 2.40) and ends at (High M-Slavery, 2.50) and has a slightly positive slope with the equation labeled “y equals 0.0656 x plus 2.3871.” The red line for “High Price” starts from approximately (Low M-Slavery, 3.45) and ends at (High M-Slavery, 3.50) and has a slightly positive slope with the equation labeled “y equals 0.0104 x plus 3.4989.” Note: All numerical data values are approximated.

Modern slavery perception and customer satisfaction, with product quality moderator. Source: Field Survey, 2024

Close modal

Hypothesis 6 tested product quality as a moderator on the modern slavery perception and brand trust relationship. The test proved that the product quality as a moderator strengthened the relationship between modern slavery perception and brand trust; however, it was insignificant (β = 0.127, p = 0.070, t = 1.812). The simple slope equally depicted the increase in interaction between modern slavery perception and brand trust when product quality became high, see Figure 6.

Figure 6
A graph shows the effect of product quality on M-Slavery and brand trust with linear trend lines.The horizontal axis represents “M-Slavery,” with two labeled points from left to right, “Low M-Slavery” and “High M-Slavery.” The vertical axis represents “Brand Trust,” ranging from 1.0 to 5.0 in increments of 0.5units. A legend labeled “Moderator” on the right side indicates that the graph plots two lines. The blue line with diamond markers represents “Low Product Quality,” and the red line with square markers represents “High Product Quality.” The blue line for “Low Price” starts from approximately (Low M-Slavery, 2.70) and ends at (High M-Slavery, 2.50) and has a slightly negative slope with the equation labeled “y equals negative 0.1624 x plus 2.8031.” The red line for “High Price” starts from approximately (Low M-Slavery, 3.25) and ends at (High M-Slavery, 3.55) and has a slightly positive slope with the equation labeled “y equals 0.316 x plus 2.9665.” Note: All numerical data values are approximated.

Modern slavery perception and brand trust, with product quality moderator. Source: Field Survey, 2024

Figure 6
A graph shows the effect of product quality on M-Slavery and brand trust with linear trend lines.The horizontal axis represents “M-Slavery,” with two labeled points from left to right, “Low M-Slavery” and “High M-Slavery.” The vertical axis represents “Brand Trust,” ranging from 1.0 to 5.0 in increments of 0.5units. A legend labeled “Moderator” on the right side indicates that the graph plots two lines. The blue line with diamond markers represents “Low Product Quality,” and the red line with square markers represents “High Product Quality.” The blue line for “Low Price” starts from approximately (Low M-Slavery, 2.70) and ends at (High M-Slavery, 2.50) and has a slightly negative slope with the equation labeled “y equals negative 0.1624 x plus 2.8031.” The red line for “High Price” starts from approximately (Low M-Slavery, 3.25) and ends at (High M-Slavery, 3.55) and has a slightly positive slope with the equation labeled “y equals 0.316 x plus 2.9665.” Note: All numerical data values are approximated.

Modern slavery perception and brand trust, with product quality moderator. Source: Field Survey, 2024

Close modal

Hypothesis 7 tested the mediation capacity of customer satisfaction on modern slavery perception and brand trust. The results established a significant positive indirect effect of modern slavery perception on brand trust (β = 0.134, LLCI = 0.052, ULCI = 0.337, p = 0.002, t = 2.696). The results also showed that in the presence of the mediating variable (customer satisfaction), modern slavery perception maintained an insignificant direct effect on brand trust (β = −0.019, p = 0.792, t = −0.263). Therefore, in addition to being a significant mediation, the mediation by customer satisfaction was full.

The study investigates the effect of modern slavery perception on brand trust and modern slavery perception’s indirect effect on brand trust through customer satisfaction. The study also examined the moderating roles of product price and quality on the relationships. Findings revealed that MSP had a direct and positive effect on CS. This is in contrast to the expectations of the researcher because MSP is expected to trigger some sort of backlash from customers (Han et al., 2024). It is also noteworthy that a country’s citizenry in much poverty may not care about MSP (Shankley, 2023; Hobbs, 2024), provided they can feed themselves and their families. For the poor, it is all about survival, nothing else really matters (Boersma and Nolan, 2022; Olayiwola, 2024). MSP had a negative and insignificant direct impact on brand trust. Though this study’s result is insignificant, in some ways, this supports the findings of Sokat and Altay (2023), who found a negative significant effect on operational performance from modern slavery allegations. It is expected that such allegations may sway public opinion negatively and there will be a reduction in brand trust which may trigger a reduction in all performance parameters. The findings also align with Beldad et al. (2018), who found that negative information about a company adversely affects brand trust. The findings also support the result of Bae et al. (2023), whose study found that ensuring social sustainability is not compromised will affect brand trust positively. In other words, when social sustainability, which includes modern slavery, is compromised, the firm will lose brand trust.

Results revealed that product price did not moderate the relationship between MSP and CS. However, product price positively moderated the relationship between MSP and BT. Product price moderating and strengthening the relations between MSP and brand trust echoes Guilbert’s survey (2015). Where it was found that customers were willing to pay more, provided it would aid the stop of modern slavery. Thus, it is possible that when products are pricy, customers automatically assume it is the lack of modern slavery in the supply chain of that product. Thereby countering negative opinions of the brand that were previously held by the customer. Product quality neither moderated MSP and CS, nor MSP and BT relationships. Finally, CS fully, positively and significantly mediated the relationship between MSP and BT. This corroborates the findings of Kapoor and Banerjee (2020) that highlight the power of customer experiences before a piece of negative information. Kapoor and Banerjee (2020) emphasized that customer satisfaction from prior experiences prevents customers from totally cancelling a brand (if at all) in the face of negative information like unethical practices.

The study created the model of MSP, CS, PP, PQ and BT to empirically test how these variables interact with each other. The study uniquely contributes to the literature on sustainability through social sustainability concerns on modern slavery. In response to calls from sun (2022) who examined environmental sustainability concerns on brand trust, as well as Kapoor and Banerjee (2021) and Tong et al. (2023) who called for investigation on perceptions and brand trust from developing nations; particularly west African, the study provides novel insight into modern slavery perception and brand trust, directly and indirectly. Sokat and Altay (2023) studied modern slavery news and operational performance, and charged further studies into how modern slavery news can trigger consumer reaction. This study responds, and proved that MSP had no significant direct impact on brand trust, however, it does indirectly, through CS. The study also enriches the literature by considering the presence of specific favourable conditions of price and quality (being foremost consumer considerations) in the dynamics, and observed the reactions. In response to contemporary calls (Aw and Labrecque, 2023; Shankley, 2023; Han et al., 2024; Hobbs, 2024) into unravelling panaceas that moderate customer reactions to brand scandals, the study established that product quality did not moderate the relationship between MSP and CS as well as MSP and BT. Product price also did not moderate the relationship between MSP and CS; however, just like Aw and Labrecque (2023), who found that celebrity power moderates customer trust after firm sustainability scandals, this study finds that product price moderated the relationship between MSP and BT in favour of brand trust. It affirms stringer et al. (2022) notion of customers just want it as cheap as possible. It also supports the call by Khowjoy et al. (2023), who concluded that product characteristics are a deciding factor for brand trust (in a direct effect), and suggested testing product characteristics as moderators in influencing brand trust. We all know modern slavery exists; the pertinent question is why it persists (Alzoubi et al., 2023; Shankley, 2023; Han et al., 2024). This study contributes to the literature on understanding the persistence of modern slavery despite so many policies against it. It establishes that the expected backlash that should deter organisations from modern slavery has been moderated significantly by product price, in favour of the firm.

The findings of the study connect to the RBV theory very succinctly, as it reveals that the presence of an elevated perception of modern slavery negatively affects brand trust. This highlights the link between the intangible resource of public perception and the trust customers have in the brand. If the resource is not managed properly and is negatively perceived by customers, the trust could be affected. The study also crystalizes the systems theory which affirms that activities and circumstances that are outside the control of a firm’s management can affect the firm negatively or positively. In this case, activities outside the direct control of the firm, in its supply partners, have affected the image and the trust of the brand.

The study is relevant to practice in multiple ways. It highlights the relevance of having zero tolerance for modern slavery in supply chains. In this age of elevated information accessibility, having favourable customer perception (especially in the modern slavery context) would do the company a lot of good in its pursuit of customer satisfaction. The study equally reveals to managers that the perception of customers on modern slavery can negatively affect brand trust directly, however, it is positive indirectly. Therefore, strategies must be implemented to ensure that modern slavery is minimised in their supply chain to avoid negative customer perceptions, which may affect the brand trust negatively. Firstly, manufacturing firms must implement a supply chain modern slavery report in the annual financial statements of the firm, which explicitly states the company’s stance on labour-related modern slavery. The report should also go beyond the company’s stance and address strategies implemented to reduce the level of supply chain modern slavery in their partner firms, and the impact the strategies are having on minimising modern slavery, as well as consequences for defaulters along the supply chain. Secondly, the focal company of the manufacturing supply chain could also install closed-circuit television (CCTV) cameras (that are feeders to a server that only the focal firm has access to) in strategic positions in the production floor and warehouses of their supply partners. This is expected to curtail the dehumanisation of workers in partner firms, as well as improve the HSE (Health, Safety and Environment) conditions in the factories of partner firms. Thirdly, regular and/or unscheduled visits to partner firms should be practised to put pressure on them to maintain high standards of their working environment in line with pre-established conditions between focal firms and partners.

Finally, the incorporation of high technological approaches in managing modern slavery. This includes establishing an anonymous digital alert system to enable anyone in the supply chain to alert the focal firm of a breach in ethical guidelines bordering on modern slavery. Hour trackers to ensure no employee works above recommended hours/day, and Internet monitoring to constantly filter big data from social media on inhumane conditions of employees along the supply chain. It is believed that most modern slavery stories had been brought to social media long before authorities got to know. This way, the firm stays informed, real-time and unadulterated. In addition to these, AI has made interesting approaches possible, including age-verifying face scanners. Focal firms can implement these across their chain, especially the supply end. This will help in combating child labour. Executives must understand that manufacturing firms that overlook the activities of supply chain members may be risking their firm’s perception; and subsequently, brand trust. There is a strategy for managing brand trust in the face of modern slavery perception. Product price is a strategy that can be applied to counter the direction of the relationship between modern slavery perception and brand trust, as the study reveals that product price positively strengthens the relationship between modern slavery and brand trust.

This study tested several direct and moderating examinations. It however did not examine the reason behind the moderation direction, significance or insignificance in some relationships. Further studies can exploit this area and seek qualitative research to understand why the relationship results have gone in the direction they went. In addition, a wider data collection can be executed, perhaps across the country or countries. Finally, a comparative analysis of how different business environments affect relationships can be researched.

Alzoubi
,
Y.
,
Locatelli
,
G.
and
Sainati
,
T.
(
2023
), “
Modern slavery in projects: a systematic literature review and research agenda
”,
Project Management Journal
, Vol. 
54
No. 
3
, pp. 
235
-
252
, doi: .
Armawan
,
I.
,
Sudarmiatin
,
S.
,
Hermawan
,
A.
and
Rahayu
,
W.P.
(
2023
), “
The effect of social media marketing, SerQual, eWOM on purchase intention mediated by brand image and brand trust: evidence from black sweet coffee shop
”,
International Journal of Data and Network Science
, Vol. 
7
No. 
1
, pp. 
141
-
152
, doi: .
Aw
,
E.C.
and
Labrecque
,
L.I.
(
2023
), “
Celebrities as brand shields: the role of parasocial relationships in dampening negative consequences from brand transgressions
”,
Journal of Advertising
, Vol. 
52
No. 
3
, pp. 
387
-
405
, doi: .
Azhar
,
M.
,
Husain
,
R.
,
Hamid
,
S.
and
Rahman
,
M.N.
(
2023
), “
Effect of social media marketing on online travel purchase behavior post-COVID-19: mediating role of brand trust and brand loyalty
”,
Future Business Journal
, Vol. 
9
No. 
13
, pp. 
1
-
13
, doi: .
Bae
,
G.-K.
,
Lee
,
S.-M.
and
Luan
,
B.-K.
(
2023
), “
The impact of ESG on brand trust and word of mouth in food and beverage companies: focusing on Jeju Island Tourists
”,
Sustainability
, Vol. 
15
No. 
3
, pp. 
23
-
48
, doi: .
Bales
,
K.
and
Trodd
,
Z.
(
2013
), “
Addressing contemporary forms of slavery in EU external policy: briefing paper for the European parliament's subcommittee on human rights
”,
available at:
 http://bookshop.europa.eu/de/addressingcontemporary-forms-of-slavery-in-eu-external-policy-pbBB0113823/ (
accessed
 18 January 2024).
Barney
,
J.
(
1991
), “
Firm resources and sustained competitive advantage
”,
Journal of Management
, Vol. 
17
No. 
1
, pp. 
99
-
120
, doi: .
Belch
,
G.E.
and
Belch
,
M.A.
(
2005
),
Advertising and Promotion
, (6th ed.) ,
McGraw Hill
,
New York, NY
.
Beldad
,
A.D.
,
Van Laar
,
E.
and
Hegner
,
S.M.
(
2018
), “
Should the shady steal thunder? The effects of crisis communication timing, pre-crisis reputation valence, and crisis type on postcrisis organizational trust and purchase intention
”,
Journal of Contingencies and Crisis Management
, Vol. 
26
No. 
1
, pp. 
150
-
163
, doi: .
Benstead
,
A.V.
,
Hendry
,
L.C.
and
Stevenson
,
M.
(
2018
), “
Horizontal collaboration in response to modern slavery legislation: an action research project
”,
International Journal of Operations and Production Management
, Vol. 
38
No. 
12
, pp. 
2286
-
2312
, doi: .
Benstead
,
A.V.
,
Hendry
,
L.C.
and
Stevenson
,
M.
(
2021
), “
Detecting and remediating modern slavery in supply chains: a targeted audit approach
”,
Production Planning and Control: Management and operations
, Vol. 
32
No. 
13
, pp. 
1136
-
1157
, doi: .
Bertalanffy
,
L.V.
(
1972
), “
The history and status of general systems theory
”,
Academy of Management Journal
, Vol. 
15
No. 
4
, pp. 
407
-
426
.
Bhandari
,
M.
and
Rodgers
,
S.
(
2018
), “
What does the brand say? Effects of brand feedback to negative eWOM on brand trust and purchase intentions
”,
International Journal of Advertising: The Review of Marketing Communications
, Vol. 
37
No. 
1
, pp. 
125
-
141
, doi: .
Boersma
,
M.
and
Nolan
,
J.
(
2022
), “
Modern slavery and the employment relationship: exploring the continuum of exploitation
”,
Journal of Industrial Relations
, Vol. 
64
No. 
2
, pp. 
165
-
176
, doi: .
Boulding
,
K.E.
(
1956
), “
General systems theory – the skeleton of science
”,
Management Science
, Vol. 
2
No. 
3
, pp. 
197
-
208
, doi: .
Chaudhuri
,
A.
and
Holbrook
,
M.B.
(
2001
), “
The chain of effects from brand trust and brand affect to brand performance: the role of brand loyalty
”,
Journal of Marketing
, Vol. 
65
No. 
2
, pp. 
81
-
93
, doi: .
Chavez
,
R.
,
Yu
,
W.
,
Feng
,
M.
and
Wiengarten
,
F.
(
2016
), “
The effect of customer-centric green supply chain management on operational performance and customer satisfaction
”,
Business Strategy and the Environment
, Vol. 
25
No. 
3
, pp. 
205
-
220
, doi: .
Chen
,
Z.F.
and
Cheng
,
Y.
(
2020
), “
Consumer response to fake news about brands on social media: the effects of self-efficacy, media trust, and persuasion knowledge on brand trust
”,
The Journal of Product and Brand Management
, Vol. 
29
No. 
2
, pp. 
188
-
198
, doi: .
Chih-Chung
,
C.
,
Chang
,
C.
,
Wei-Chun
,
L.
and
Yau-Nang
,
L.
(
2012
), “
The effect of advertisement frequency on the advertisement attitude the controlled effects of brand image and spokesperson's credibility
”,
Procedia - Social and Behavioral Sciences
, Vol. 
57
No. 
9
, pp. 
352
-
359
, doi: .
Christ
,
K.L.
and
Burritt
,
R.L.
(
2018
), “
Current perceptions on the problem of modern slavery in business
”,
Business Strategy and Development
, Vol. 
1
No. 
2
, pp. 
103
-
114
, doi: .
Cochran
,
W.G.
(
1977
),
Sampling Techniques
, (3rd ed.) ,
John Wiley & Sons
,
New York, NY
.
Consumer Product Safety Commission CPSC
(
2010
), “
Consumer product-related injuries and deaths in the United States: estimated injuries occurring in 2010 and estimated deaths occurring in 2008
”,
available at:
 http://www.cpsc.gov/library/foia/foia12/os/2010injury.pdf (
accessed
 12 September 2022).
Cordon
,
C.P.
(
2013
), “
System theories: an overview of various system theories and its application in healthcare
”,
American Journal of Systems Science
, Vol. 
2
No. 
1
, pp.
13
-
22
.
Crane
,
A.
(
2013
), “
Modern slavery as a management practice: exploring the conditions and capabilities for human exploitation
”,
Academy of Management Review
, Vol. 
38
No. 
1
, pp. 
49
-
69
, doi: .
De Giovanni
,
P.
and
Zaccour
,
G.
(
2023
), “
A survey of dynamic models of product quality
”,
European Journal of Operational Research
, Vol. 
307
No. 
3
, pp. 
991
-
1007
, doi: .
De Vries
,
I.
(
2019
), “
Connected to crime: an exploration of the nesting of labour trafficking and exploitation in legitimate markets
”,
British Journal of Criminology
, Vol. 
59
No. 
1
, pp. 
209
-
230
, doi: .
Delgado-Ballester
,
E.
(
2004
), “
Applicability of a brand trust scale across product categories: a multi-group invariance analysis
”,
European Journal of Marketing
, Vol. 
38
Nos
5/6
, pp. 
573
-
592
, doi: .
Delgado-Ballester
,
E.
and
Munuera-Aleman
,
J.L.
(
2005
), “
Does brand trust matter to brand equity?
”,
The Journal of Product and Brand Management
, Vol. 
14
No. 
3
, pp. 
187
-
196
.
Erdem
,
T.
,
Swait
,
J.
and
Valenzuela
,
A.
(
2006
), “
Brands as signals: a cross-country validation study
”,
Journal of Marketing
, Vol. 
70
 
January
, pp. 
34
-
49
, doi: .
Foster
,
B.M.M.
(
2016
), “
The effect of price and service quality on customer satisfaction in Mutiara Hotel Bandung
”,
American Research Journal of Humanities and Social Sciences
, Vol. 
2016
, pp. 
1
-
12
.
Gabriella
,
V.
,
Baghi
,
I.
and
Bergianti
,
F.
(
2021
), “
Brand scandals within a corporate social responsibility partnership: asymmetrical effects on for-profit and non-profit brands
”,
Journal of Marketing Management
, Vol. 
37
Nos
15-16
, pp. 
1573
-
1604
, doi: .
Giese
,
J.L.
and
Cote
,
J.A.
(
2000
), “
Defining consumer satisfaction
”,
Academy of Marketing Science Review
, Vol. 
1
No. 
1
, pp. 
1
-
24
.
Global Slavery Index
(
2018
), “
In downloads: walk free organisation
”,
available at:
 https://www.globalslaveryindex.org/resources/downloads/ (
accessed
 22 December 2023).
Global Slavery Index
(
2023
), “
In downloads: walk free organisation
”,
available at:
 https://www.walkfree.org/global-slavery-index/downloads/ (
accessed
 8 July 2024).
Gold
,
S.
,
Trautrims
,
A.
and
Trodd
,
Z.
(
2015
), “
Modern slavery challenges to supply chain management
”,
Supply Chain Management: International Journal
, Vol. 
20
No. 
5
, pp. 
485
-
494
, doi: .
Hahn
,
K.H.
and
Kim
,
J.
(
2009
), “
The effect of offline brand trust and perceived internet confidence on online shopping intention in the integrated multi-channel context
”,
International Journal of Retail and Distribution Management
, Vol. 
37
No. 
2
, pp. 
126
-
141
.
Hair
,
J.F.
, Jr
,
Anderson
,
R.E.
,
Tatham
,
R.L.
and
Black
,
W.C.
(
1998
),
Multivariate Data Analysis
, (5th ed.) ,
Prentice-Hall
,
Englewood Cliffs, NJ
.
Han
,
C.
,
Jia
,
F.
,
Jiang
,
M.
and
Chen
,
L.
(
2024
), “
Modern slavery in supply chains: a systematic literature review
”,
International Journal of Logistics Research and Applications
, Vol. 
27
No. 
7
, pp. 
1206
-
1227
, doi: .
Hanaysha
,
J.R.
(
2022
), “
Impact of social media marketing features on consumer's purchase decision in the fast-food industry: brand trust as a mediator
”,
International Journal of Information Management Data Insights
, Vol. 
2
No. 
2
, pp. 
1
-
10
, doi: .
Hayran
,
C.
and
Ceylan
,
M.
(
2023
), “
Impact of social media brand blunders on brand trust and brand liking
”,
International Journal of Market Research
, Vol. 
65
No. 
4
, pp. 
466
-
483
, doi: .
Hegner
,
S.M.
and
Jevons
,
C.
(
2016
), “
Brand trust: a cross-national validation in Germany, India, and South Africa
”,
The Journal of Product and Brand Management
, Vol. 
25
No. 
1
, pp. 
58
-
68
, doi: .
Herrmann
,
A.
,
Xia
,
L.
,
Monroe
,
K.B.
and
Huber
,
F.
(
2007
), “
The influence of price fairness on customer satisfaction: an empirical test in the context of automobile purchases
”,
The Journal of Product and Brand Management
, Vol. 
16
No. 
1
, pp. 
49
-
58
, doi: .
Hess
,
R.L.
,
Ganesan
,
S.
and
Klein
,
N.M.
(
2003
), “
Service failure and recovery: the impact of relationship factors on customer satisfaction
”,
Journal of the Academy of Marketing Science
, Vol. 
31
No. 
2
, pp. 
127
-
145
, doi: .
Ho
,
C.-W.
(
2014
), “
Consumer behavior on facebook
”,
EuroMed Journal of Business
, Vol. 
9
No. 
3
, pp. 
252
-
267
, doi: .
Hobbs
,
S.
(
2024
), “
From chains to chainsaws: modern slavery and deforestation in the Brazilian Amazon
”,
Environment and Planning E: Nature and Space
, Vol. 
7
No. 
2
, pp. 
834
-
861
, doi: .
Hosseini
,
H.H.K.
and
Behboudi
,
L.
(
2017
), “
Brand trust and image: effects on customer satisfaction
”,
International Journal of Health Care Quality Assurance
, Vol. 
30
No. 
7
, pp. 
580
-
590
, doi: .
Jiang
,
M.
,
Chen
,
L.
,
Blome
,
C.
and
Jia
,
F.
(
2023
), “
Digital technology adoption for modern slavery risk mitigation in supply chains: an institutional perspective
”,
Technological Forecasting and Social Change
, Vol. 
192
July
, 122595, doi: .
Kapoor
,
S.
and
Banerjee
,
S.
(
2020
), “
On the relationship between brand scandal and consumer attitudes: a literature review and research agenda
”,
International Journal of Consumer Studies
, Vol. 
45
No. 
5
, pp. 
1047
-
1078
, doi: .
Kapoor
,
S.
and
Banerjee
,
S.
(
2021
), “
On the relationship between brand scandal and consumer attitudes: a literature review and research agenda
”,
International Journal of Consumer Studies
, Vol. 
45
No. 
5
, pp. 
1047
-
1078
, doi: .
Khowjoy
,
K.
,
Petmee
,
P.
,
Phakamach
,
V.
,
Sriplang
,
N.
,
Kaewsrem
,
S.
and
Chayomchai
,
A.
(
2023
), “
Factors influencing brand loyalty: the mediating effect of brand satisfaction and trust
”,
Polish Journal of Management Studies
, Vol. 
27
No. 
2
, pp. 
136
-
154
, doi: .
Kianpour
,
K.
,
Jusoh
,
A.
and
Asghari
,
A.
(
2014
), “
Environmentally friendly as a new dimension of product quality
”,
International Journal of Quality and Reliability Management
, Vol. 
31
No. 
5
, pp. 
547
-
565
, doi: .
Kotler
,
P.
and
Armstrong
,
G.
(
2005
),
Principles of Marketing
, (11th ed.) ,
Prentice-Hall
,
Upper Saddle River, NJ
.
LeBaron
,
G.
(
2015
), “
Unfree labour beyond binaries: insecurity, social hierarchy and labour market restructuring
”,
International Feminist Journal of Politics
, Vol. 
17
No. 
1
, pp. 
1
-
19
, doi: .
Lee
,
J.J.
,
Patterson
,
P.G.
and
Ngo
,
L.V.
(
2017
), “
In pursuit of service productivity and customer satisfaction: the role of resources
”,
European Journal of Marketing
, Vol. 
51
Nos
11/12
, pp. 
1836
-
1855
, doi: .
Lefkeli
,
D.
,
Karatas
,
M.
and
Gurhan-Canli
,
Z.
(
2024
), “
Sharing information with AI (versus a human) impairs brand trust: the role of audience size inferences and sense of exploitation
”,
International Journal of Research in Marketing
, Vol. 
41
No. 
1
, pp. 
138
-
155
, doi: .
Lekhanya
,
L.M.
and
Dlamini
,
H.L.
(
2017
), “
Customer's perception towards product quality of automotive SMEs operating in Metropolitan areas, and consideration of environmental impact
”,
Environmental Economics
, Vol. 
8
No. 
1
, pp. 
36
-
45
, doi: .
Li
,
G.
and
Sun
,
X.
(
2022
), “
The impact of green brand crises on green brand trust: an empirical study
”,
Sustainability
, Vol. 
14
No. 
2
, pp. 
611
-
630
, doi: .
Liu
,
X.
,
Lischka
,
H.M.
and
Kenning
,
P.
(
2018
), “
Asymmetric cognitive, emotional and behavioral effects of values-related and performance-related negative brand publicity
”,
The Journal of Product and Brand Management
, Vol. 
27
No. 
2
, pp. 
128
-
145
, doi: .
Liu
,
Y.
,
Liu
,
S.
,
Ye
,
D.
,
Tang
,
H.
and
Wang
,
F.
(
2022
), “
Dynamic impact of negative public sentiment on agricultural product prices during COVID-19
”,
Journal of Retailing and Consumer Services
, Vol. 
64
January
, 102790, doi: .
Lowry
,
P.B.
and
Gaskin
,
J.
(
2014
), “
Partial least squares (PLS) structural equation modelling (SEM) for building and testing behavioural causal theory: when to choose it and how to use it
”,
IEEE TPC
, Vol. 
57
No. 
2
, pp. 
123
-
146
, doi: .
Mal
,
C.L.
,
Davies
,
G.
and
Diers-Lawson
,
A.
(
2018
), “
Through the looking glass: the factors that influence consumer trust and distrust in brands
”,
Psychology and Marketing
, Vol. 
35
No. 
12
, pp. 
936
-
947
, doi: .
Matzler
,
K.
,
Grabner-Krauter
,
S.
and
Bidmon
,
S.
(
2008
), “
Risk aversion and brand loyalty: the mediating role of brand trust and brand affect
”,
The Journal of Product and Brand Management
, Vol. 
17
No. 
3
, pp. 
154
-
162
, doi: .
Mele
,
C.
,
Pels
,
J.
and
Polese
,
F.
(
2010
), “
A brief review of systems theories and their managerial applications
”,
Service Science
, Vol. 
2
Nos
1/2
, pp. 
126
-
135
, doi: .
Morgan
,
R.M.
and
Hunt
,
S.D.
(
1994
), “
The commitment trust theory of relationship marketing
”,
Journal of Marketing
, Vol. 
58
No. 
3
, pp. 
20
-
38
, doi: .
New
,
S.J.
(
2015
), “
Modern slavery and the supply chain: the limits of corporate social responsibility?
”,
Supply Chain Management: International Journal
, Vol. 
20
No. 
6
, pp. 
697
-
707
, doi: .
Nobar
,
H.B.K.
and
Rostamzadeh
,
R.
(
2018
), “
The impact of customer satisfaction, customer experience and customer loyalty on brand power: empirical evidence from hotel industry
”,
Journal of Business Economics and Management
, Vol. 
19
No. 
2
, pp. 
417
-
430
, doi: .
Olayiwola
,
P.
(
2024
), “
Tackling modern slavery or worsening vulnerability? UK's modern slavery agenda in Nigeria
”,
International Criminology
, Vol. 
4
No. 
4
, pp. 
349
-
357
, doi: .
Power
,
J.
,
Whelan
,
S.
and
Davies
,
G.
(
2008
), “
The attractiveness and connectedness of ruthless brands: the role of trust
”,
European Journal of Marketing
, Vol. 
42
Nos
5/6
, pp. 
586
-
602
, doi: .
Rai
,
S.
,
Wai
,
P.P.
,
Koirala
,
P.
,
Bromage
,
S.
,
Nirmal
,
N.P.
,
Pandiselvam
,
R.
,
Nor-Khaizura
,
M.A.B.
and
Mehta
,
N.K.
(
2023
), “
Food product quality, environmental and personal characteristics affecting consumer perception toward food
”,
Frontiers in Sustainable Food Systems
, Vol. 
7
July
, 1222760, doi: .
Razak
,
I.
,
Nirwanto
,
N.
and
Triatmanto
,
B.
(
2016
), “
The impact of product quality and price on customer satisfaction with the mediator of customer value
”,
Journal of Marketing and Consumer Research
, Vol. 
30
No. 
1
, pp. 
59
-
68
.
Rumelt
,
R.P.
(
1984
), “Towards a strategic theory of the firm”, in
Lamb
,
R.
(Ed.),
Competitive Strategic Management
,
Prentice Hall
,
Englewood Cliffs, NJ
, pp. 
556
-
570
.
Ruparelia
,
N.
,
White
,
L.
and
Hughes
,
K.
(
2010
), “
Drivers of brand trust in internet retailing
”,
The Journal of Product and Brand Management
, Vol. 
19
No. 
4
, pp. 
250
-
260
, doi: .
Shankley
,
W.
(
2023
), “
Gender, modern slavery and labour exploitation: experiences of male Polish migrants in England
”,
Journal of Ethnic and Migration Studies
, Vol. 
49
No. 
5
, pp. 
1274
-
1291
, doi: .
Shirmer
,
N.
,
Ringle
,
C.M.
,
Gudergan
,
S.P.
and
Feistel
,
M.S.G.
(
2018
), “
The link between customer satisfaction and loyalty: the moderating role of customer characteristics
”,
Journal of Strategic Marketing
, Vol. 
26
No. 
4
, pp. 
298
-
317
, doi: .
Sohaib
,
M.
and
Han
,
H.
(
2023
), “
Building value co-creation with social media marketing, brand trust, and brand loyalty
”,
Journal of Retailing and Consumer Services
, Vol. 
74
 
September
, pp. 
1
-
11
, doi: .
Sokat
,
K.Y.
and
Altay
,
N.
(
2023
), “
Impact of modern slavery allegations on operating performance
”,
Supply Chain Management: International Journal
, Vol. 
28
No. 
3
, pp. 
470
-
485
, doi: .
Stevenson
,
J.W.
(
2002
),
Operations Management
, (7th ed.) ,
McGraw-Hill
,
New York, NY
.
Stevenson
,
J.W.
(
2015
),
Operations Management
, (15th ed.) ,
McGraw-Hill
,
New York, NY
.
Stevenson
,
M.
and
Cole
,
R.
(
2018
), “
Modern slavery in supply chains: a secondary data analysis of detection, remediation and disclosure
”,
Supply Chain Management: International Journal
, Vol. 
12
No. 
3
, pp. 
81
-
99
, doi: .
Stringer
,
C.
and
Michailova
,
S.
(
2018
), “
Why modern slavery thrives in multinational corporations' global value chains
”,
Multinational Business Review
, Vol. 
26
No. 
3
, pp. 
194
-
206
, doi: .
Stringer
,
C.
,
Whittaker
,
D.H.
and
Simmons
,
G.
(
2016
), “
New Zealand's turbulent waters: the use of forced labour in the fishing industry
”,
Global Networks
, Vol. 
16
No. 
1
, pp. 
3
-
24
, doi: .
Stringer
,
T.
,
Payne
,
A.
and
Mortimer
,
G.
(
2022
), “
As cheap as humanly possible: why consumers care less about worker welfare
”,
Journal of Fashion Marketing and Management
, Vol. 
26
No. 
4
, pp. 
717
-
737
, doi: .
Thaler
,
V.S.
,
Herbst
,
U.
and
Merz
,
M.A.
(
2018
), “
A real product scandal's impact on a high-equity brand: a new approach to assessing scandal impact
”,
The Journal of Product and Brand Management
, Vol. 
27
No. 
4
, pp. 
427
-
439
, doi: .
Tong
,
Z.
,
Feng
,
F.
and
Liu
,
F.
(
2023
), “
Understanding damage to and reparation of brand trust: a closer look at image congruity in the context of negative publicity
”,
The Journal of Product and Brand Management
, Vol. 
32
No. 
1
, pp. 
157
-
170
, doi: .
Tsiotsou
,
R.
(
2006
), “
The role of perceived product quality and overall satisfaction on purchase intentions
”,
International Journal of Consumer Studies
, Vol. 
30
No. 
2
, pp. 
207
-
217
, doi: .
Udofia
,
E.E.
(
2019
), “
Understanding quality management and customer satisfaction: a necessity
”,
European Journal of Applied Business Management
, Vol. 
5
No. 
4
, pp. 
1
-
16
.
Udofia
,
E.E.
,
Adejare
,
B.O.
,
Olaore
,
G.O.
and
Udofia
,
E.E.
(
2021
), “
Supply disruption in the wake of COVID-19 crisis and organisational performance: mediated by organisational productivity and customer satisfaction
”,
Journal of Humanities and Applied Social Sciences
, Vol. 
3
No. 
5
, pp. 
319
-
338
, doi: .
Wei
,
J.
,
Ouyang
,
Z.
and
Chen
,
H.
(
2017
), “
Well known or well liked? The effects of corporate reputation on firm value at the onset of a corporate crisis
”,
Strategic Management Journal
, Vol. 
38
No. 
10
, pp. 
2103
-
2120
, doi: .
Wernerfelt
,
B.
(
1984
), “
A resource-based view of the firm
”,
Strategic Management Journal
, Vol. 
5
No. 
9
, pp. 
171
-
180
, doi: .
Wikhamn
,
W.
(
2019
), “
Innovation, sustainable HRM and customer satisfaction
”,
International Journal of Hospitality Management
, Vol. 
76
January
, pp. 
102
-
110
, doi: .
Wongsansukcharoen
,
J.
(
2022
), “
Effect of community relationship management, relationship marketing orientation, customer engagement, and brand trust on brand loyalty: the case of a commercial bank in Thailand
”,
Journal of Retailing and Consumer Services
, Vol. 
64
January
, pp. 
1
-
12
, doi: .
Yu
,
M.
,
Liu
,
F.
and
Lee
,
J.A.
(
2019
), “
Consumers' responses to negative publicity: the influence of culture on information search and negative word-of-mouth
”,
Journal of Brand Management
, Vol. 
26
No. 
1
, pp. 
141
-
156
, doi: .
Yu
,
W.
,
Wong
,
C.Y.
,
Jacobs
,
M.A.
and
Chavez
,
R.
(
2025
), “
Modern slavery supply chain capabilities: the effects of Blockchain technology and employees' digital dexterity
”,
International Journal of Ophthalmic Practice
, Vol. 
45
No. 
1
, pp. 
210
-
235
, doi: .
Zboja
,
J.J.
and
Voorhees
,
C.M.
(
2006
), “
The impact of brand trust and satisfaction on retailer repurchase intentions
”,
Journal of Services Marketing
, Vol. 
20
No. 
5
, pp. 
381
-
390
, doi: .
Zeithaml
,
V.A.
(
1988
), “
Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence
”,
Journal of Marketing
, Vol. 
52
No. 
3
, pp. 
2
-
22
, doi: .
Christ
,
K.I.
and
Burrit
,
R.L.
(
2023
), “
Exploring effectiveness of entity actions to eliminate modern slavery risk – early Australian evidence
”,
The British Accounting Review
, Vol. 
55
No. 
1
, 101065, doi: .
Published in Journal of Humanities and Applied Social Sciences. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence.

or Create an Account

Close Modal
Close Modal