Awareness matters: the influence of back-end quality assurance measures on satisfaction and brand equity in fast-food restaurants Open Access

In today's highly competitive and fast-paced consumer landscape, particularly within the fast-food industry (Khoa et al., 2023), perceived quality and customer satisfaction are critical determinants of business success (Dabral et al., 2025). Customer satisfaction represents the degree to which customer expectations are met or exceeded by actual service performance (Mittal and Gupta, 2021). Fast-food chains are constantly seeking to balance speed (Lee et al., 2022), affordability (Liu et al., 2025), and taste without compromising customer satisfaction and brand perception (Rodríguez-López et al., 2020).

Prior studies have extensively examined and acknowledged several restaurant-quality dimensions, such as food quality (Naini et al., 2022), food taste (Kuo and Helm, 2025), hygiene practices (Tordoya-Espinoza et al., 2025), and service quality (Choi and Lee, 2024) as key drivers of customer satisfaction and loyalty in the food service industry. Other empirical works have also linked quality dimensions like responsiveness (Chou et al., 2025), cleanliness (Dabral et al., 2025), promptness (Firoozzare et al., 2024), and courtesy (Peng and Li, 2021) to customer satisfaction levels (Mittal and Gupta, 2021; Šerić and Gil-Saura, 2019). These dimensions, though important, primarily focus on observable frontline service encounters (Peng and Li, 2021), neglecting the broader back-end system-level quality assurance measures that influence food sourcing, preparation, supply chain integrity, supplier verification, employee training, and standardized operational compliance. The core categories of back-end quality assurance measures in the fast-food restaurant context are supply chain and ingredient control (e.g. supplier certification and approval systems, ingredient traceability and batch tracking), food safety management systems (e.g. cross-contamination prevention, sanitation testing and microbial testing), employee training and certification (e.g. mandatory food safety training programs, periodic recertification), and internal and external auditing mechanisms (third-party inspections, regulatory compliance). While the success or performance of fast-food restaurants could be substantially dependent on these behind-the-scenes quality assurance measures (Zhang et al., 2022), little scholarly attention has been directed to understanding whether and how they shape customer satisfaction and enhance brand equity.

In response to rising health consciousness (Jhamb et al., 2023; Lu and Cai, 2023), consumers are increasingly concerned about the safety of the food they consume (Firoozzare et al., 2024; Wang et al., 2024). Fast-food customers, in particular, are becoming more mindful of what happens behind the counter, with growing expectations for transparency in food quality measures (Hanna et al., 2019). Unlike service quality and food quality, which are both grounded in frontline and observable performance (Chuah and Soeiro, 2025), back-end quality assurance measures operate behind the scenes and are typically invisible unless deliberately communicated to consumers. This phenomenon, referred to in this study as consumer cognizance, represents the customer's awareness, understanding, or perception of a brand's quality assurance practices, including back-end assurance measures (Firoozzare et al., 2024). It is this awareness, not merely the existence of such measures, that may significantly shape customer experiences and attitudes (Wang et al., 2024). The increasing demand for transparency in food quality measures (Lee et al., 2022) suggests that, although quality assurance measures can influence behavioural responses such as satisfaction and brand equity, the higher the consumer awareness of these measures, the higher the likelihood of satisfaction and perceived value. In other words, while robust back-end quality assurance systems are critical, the strength of their influence on outcome variables such as customer satisfaction and brand equity may depend on the extent to which customers are aware of them. This notwithstanding, studies examining the influence of consumer cognizance (awareness) of quality assurance measures on satisfaction and brand equity are limited. The study addresses this gap by examining consumer cognizance as a moderating variable that could strengthen the relationship between quality assurance measures, satisfaction, and brand equity.

Beyond satisfaction, brand equity, defined as the value a brand holds in the consumer's mind (Keller, 1993), has become a critical marketing asset (Ocloo et al., 2025). It encompasses dimensions such as brand loyalty, perceived quality, brand associations, and brand awareness (Aaker, 1991). In the fast-food industry, where products are easily replicable and price competition is fierce (Khoa et al., 2023), brand equity serves as a strategic differentiator (Youn, 2024). When consumers associate a brand with trust, safety, and consistent quality, they are more likely to develop favorable attitudes (Tasci and Back, 2025) and become repeat buyers (Tasci and Back, 2025). Quality assurance impacts short-term satisfaction and may have a lasting effect on brand equity, provided customers are cognizant of the brand's quality efforts.

Despite the importance of these constructs, a review of the literature reveals that most studies examining determinants of fast-food customer satisfaction have emphasized on the immediate and surface-level factors such as service speed (Lee et al., 2022), staff friendliness (Hwang et al., 2024), and cleanliness (Rodríguez-López et al., 2020). Other empirical studies have primarily focused on food safety communication (e.g. calorie and hygiene grades) (Liu et al., 2025) and on transparency initiatives such as open-kitchen design (Hwang et al., 2024) and visibility of hygiene certification (Park and Kong, 2022). While these factors are undoubtedly important, they do not capture the full spectrum of quality-related efforts that brands undertake behind the scenes, and whether consumers' awareness of these back-end quality measures influences satisfaction and brand value remains unknown. This omission is critical, particularly in a context where trust and transparency increasingly influence consumer decisions (Hanna et al., 2019). The current study addresses this knowledge gap and contributes to the fast-food literature by examining the influence of quality assurance measures and consumers' cognizance of these measures on satisfaction and brand equity in the fast-food industry.

The remainder of the study is structured as follows. In the next section, we reviewed relevant literature and formulated hypotheses. This was followed by methodology, data analysis, discussion of results, theoretical and practical implications, limitations, and future research directions.

This study draws on signaling theory (Spence, 1974) and the Stimulus–Organism–Response (S-O-R) Model to explain how quality assurance measures influence fast-food restaurant customer satisfaction and brand equity, and how consumer cognizance moderates this relationship. Together, these theories allow the study to explain how quality assurance operates as an external market signal and how consumers process such signals internally before producing evaluative responses.

The signaling theory posits that information asymmetry exists when one party (the provider) possesses more knowledge than another (the consumer) (Spence, 1974). In fast-food services, for instance, many quality assurance practices such as hygiene protocols, ingredient sourcing, and supplier audits (Liu et al., 2025), though operationally critical to success (Yin, 2025), are typically concealed from consumers' direct experience, leading to information asymmetry (Khoa et al., 2023). According to the theory, in such situations, consumers often rely on observable cues or signals to draw a conclusion about unobservable attributes, including the brand's trustworthiness and commitment to quality (Liu et al., 2025). This suggests that signals such as quality certifications are needed to reduce asymmetry and communicate a firm's commitment to quality. Prior studies have shown that brand cues can protect against negative perceptions during service failures (Coffie et al., 2025), suggesting that transparency signals in food services can strongly influence trust, perceived fairness, and brand value (Konuk, 2023).

The S-O-R framework complements the signaling theory to explain how signals are cognitively and emotionally processed to produce attitudinal and behavioral responses (Elayat and Elalfy, 2025; Mehrabian and Russell, 1974). The model posits that environmental stimuli (S) influence individuals' internal (cognitive and emotional) state (O) to induce behavioral and attitudinal responses (R) (Mehrabian and Russell, 1974). In this study, the communicated or perceived back-end quality assurance measures, such as supplier certification, employee training and certification, and internal and external quality audits, function as the stimulus (S), which also represent unobservable external quality-related signals. Consumers' cognizance, which represents the depth of internal processing through which consumers become aware of, interpret, and assign meaning to these back-end QA measures, is conceptualized as the organism (O). This organismic state is primarily cognitive, reflecting understanding, awareness, and evaluation, which may subsequently trigger affective responses such as confidence and reduced anxiety regarding food safety and quality (Tordoya-Espinoza et al., 2025; Kuo and Helm, 2025). When consumer cognizance is high, QA signals are more likely to be elaborated and integrated into brand-related judgments (Khoa et al., 2023). These internal judgments produce responses (R) such as customer satisfaction and customer-based brand equity, including perceived quality, trust, loyalty, and favorable brand associations (Naini et al., 2022).

Brand equity refers to the value a brand holds in consumers' minds based on their perceptions, experiences, and associations with the brand (Aaker, 1991; Keller, 1993). It encompasses multiple tangible and intangible dimensions, including brand awareness, perceived quality, brand associations, and brand loyalty (Keller, 1993). In service contexts, where offerings are largely intangible and increasingly commoditized (Rodríguez-López et al., 2020), brand equity represents a critical strategic asset that enables firms to reduce perceived risk, command price premiums, and foster long-term customer relationships (Yoo and Donthu, 2001).

Given the intense competition within the fast-food sector due to standardization and low switching costs, brand equity plays a critical role in influencing consumer behavior and decision-making. Empirical studies consistently show that strong brand equity enhances customer retention, strengthens resistance to competitive offerings, and encourages favorable word-of-mouth behavior (Hoyos-Vallejo and Carrion Bosquez, 2025). As a result, fast-food brands increasingly rely on both marketing communication and operational consistency to sustain favorable brand perceptions.

From a signaling-theory perspective, brand equity is shaped not only by outward-facing promotional activities but also by signals that reduce uncertainty about service quality and safety. Recent studies suggest that operational cues related to hygiene, safety, and consistency influence perceived quality and trust, which are core components of brand equity (Cheng et al., 2025). However, while the literature acknowledges that operational practices can shape brand value (Šerić and Gil-Saura, 2019), relatively limited attention has been given to equity assurance systems as structured, organization-wide signals that contribute to brand equity formation, particularly in fast-food contexts. The present study seeks to address this gap by focusing on quality assurance as a strategic antecedent of brand equity.

Customer satisfaction is widely recognized as a central outcome in service research and a key determinant of firm performance (Parasuraman et al., 1988), especially in high-contact, high-frequency service contexts such as fast-food (Chou et al., 2025). It is generally defined as the consumer's post-purchase evaluation of whether a product or service meets or exceeds expectations (Zhao and Liu, 2023). The evaluation is based on a comparison between perceived performance or expectations and the actual performance received post-consumption, serving as the fundamental predictor of restaurant satisfaction (Naini et al., 2022). It reflects both cognitive evaluations of performance and affective responses to the service encounter (Biswas and Verma, 2023).

In the fast-food industry, customer satisfaction has been linked to a range of service attributes, including service speed (Liu et al., 2025), food quality (Konuk, 2019; Tasci and Back, 2025), cleanliness (Kim et al., 2021a, b), staff behavior (Kuo and Helm, 2025), and overall consistency (Wang et al., 2024). Given the routine and repetitive nature of fast-food consumption (Naini et al., 2022), even minor deviations in service quality can accumulate to significantly influence satisfaction and subsequent behavioral intentions (Mendocilla et al., 2021). Research has shown that customer satisfaction serves as a key mechanism through which operational performance translates into higher-order brand outcomes (Kim et al., 2021a, b; Zhao and Liu, 2023). Satisfied customers are more likely to trust a brand, recommend it to others, and continue patronizing it despite competitive offerings. While prior studies have extensively examined frontline service encounters as drivers of satisfaction, there is growing recognition that back-end operational systems, such as food safety management and staff training, may shape satisfaction by ensuring reliability and reducing perceived risk (Naini et al., 2022). Notwithstanding, empirical studies linking these internal systems to satisfaction and brand equity remain limited, particularly in the fast-food context. The study addresses this gap by examining how these back-end quality assurance measures influence customer satisfaction and brand equity in fast-food restaurants.

Quality assurance (QA) in fast-food operations refers to structured, proactive mechanisms designed to ensure consistent service quality and safety throughout the customer experience (Dabral et al., 2025; Liu et al., 2025). Unlike quality control, which focuses on identifying defects after service delivery, QA is a preventative mechanism embedded throughout the service production process (Mendocilla et al., 2021). These internal systems ensure that service delivery aligns with organizational standards, regulatory expectations, and customer expectations for cleanliness, reliability, and product safety (Biswas and Verma, 2023).

Given the speed, volume, and standardization of fast-food service, QA is essential for mitigating risks and preserving brand integrity (Liu et al., 2025). Though many of these practices occur behind the scenes, their outcomes are felt in the consistency of food quality, order accuracy, and perceived cleanliness. Customers may not always observe these efforts directly but often infer the presence of robust QA through observable cues such as employee hygiene, kitchen transparency, or posted certifications (Kim et al., 2021a, b).

The signaling theory provides a valuable lens for understanding how QA functions beyond compliance. QA-related cues act as signals that reduce information asymmetry between firms and customers regarding otherwise unobservable attributes, such as food safety and operational reliability (Liu et al., 2025). The S-O-R model further explains how consumers cognitively and emotionally process these signals, leading to evaluative outcomes such as satisfaction and brand-related judgments (Khoa et al., 2023). Despite these theoretical insights, existing studies tend to focus on isolated cues (e.g. cleanliness or certifications) rather than examining QA as an integrated system and its contingent effects on satisfaction and brand equity. This omission underscores the need for a more comprehensive examination of QA and its effectiveness under varying levels of consumer cognizance.

Customer satisfaction, a cognitive and affective evaluation of a service or product after consumption (Khoa et al., 2023), is a central determinant of success in fast-food services. Fast-food restaurant customer satisfaction is primarily influenced by a range of quality-related variables such as hygiene, food safety, service speed, and staff behavior (Mendocilla et al., 2021). QA systems ensure that these variables are consistently monitored and optimized over time, making them critical drivers of satisfaction (Tasci and Back, 2025).

Prior studies (e.g. Ahmad et al., 2019; Tasci and Back, 2025) have examined several quality dimensions as predictors of fast-food restaurant customer satisfaction, including dining experience (Zhao and Liu, 2023), employee attitude (Lee et al., 2022), food taste and quality (Ahmad et al., 2019; Choi and Lee, 2024; Konuk, 2019), price fairness (Konuk, 2023), and physical environment (Choi and Lee, 2024; Tasci and Back, 2025). While these studies provide important insight into the antecedents of restaurant customer satisfaction, they tend to focus on customer-facing attributes, leaving a gap regarding the role of back-end quality assurance measures in influencing fast-food restaurant customer satisfaction. From a signaling perspective, effective QA practices can reassure customers about hygiene, safety, and reliability once signaled and understood, leading to higher satisfaction. From the S-O-R perspective, these QA signals function as stimuli that influence satisfaction through the consumer's cognitive appraisal of service quality. Based on these discussions, the following hypothesis was formulated:

In service contexts such as fast food, where offerings are largely intangible, brand equity serves not just as a differentiator but as a critical source of psychological security for consumers and long-term competitive advantage (Rodríguez-López et al., 2020; Hoyos-Vallejo and Carrion Bosquez, 2025). Strong brand equity drives loyalty (Wang et al., 2024), supports premium pricing (Dabral et al., 2025), and fosters positive word-of-mouth (Konuk, 2019). From the signaling theory's perspective, QA measures could serve as trust signals that communicate reliability and quality, reduce perceived risk, and strengthen brand value (Liu et al., 2025; Šerić and Gil-Saura, 2019). For example, a restaurant's visible hygiene certification or sourcing standards could be strong trust signals that shape consumer perceptions. According to the S-O-R model, once these signals are cognitively and emotionally processed, they can enhance consumer evaluations, trust, and emotional connection with the brand (Elayat and Elalfy, 2025). Empirical evidence supports this link: Rodríguez-López et al. (2020) found that perceived authenticity significantly influences brand equity formation. Konuk (2023) demonstrated that transparency signals in organic food services have the most significant impact on brand trust, fairness perceptions, and loyalty.

While prior research has extensively investigated brand equity antecedents, such as CSR (Konuk, 2023), authenticity (Rodríguez-López et al., 2020), cultural values (Wang et al., 2025), and service quality (Choi and Lee, 2024), there remains limited empirical validation of how QA measures influence brand equity in fast-food contexts. Addressing this gap, the following hypothesis is proposed (see Figure 1):

In today's highly transparent yet competitive service environment (Khoa et al., 2023), many firms invest heavily in quality assurance QA measures to ensure consistency, safety, and trustworthiness (Mittal and Gupta, 2021). While firms use these measures to reduce information asymmetry (Coffie et al., 2025), prior findings have shown that their effectiveness in driving customer satisfaction and perceived brand value is largely dependent on how well consumers are aware of and understand them (Chaudhary et al., 2025; Kim, 2024). This is because, as signaling theory posits, the reduction of information asymmetry depends on both the signal sent by the firm and the signal received and interpreted by the consumer (Spence, 1974; Ocloo et al., 2025). If customers are unaware of the QA measures in place, these measures cannot influence their perceptions meaningfully, no matter how robust they are. When consumers recognize and interpret QA cues (e.g. visible hygiene ratings, transparent kitchen layouts, sourcing disclosures), they are more likely to develop cognitive trust and emotional comfort, strengthening positive brand evaluations (Kim et al., 2021a, b; Lin et al., 2020).

Consumer cognizance is theorized in this study as a moderator rather than a mediator because it does not represent an outcome produced by quality assurance measures (Coffie et al., 2025), but rather a precondition that shapes how strongly those measures are processed and evaluated (Chaudhary et al., 2025). In other words, although QA practices exist independently of consumer awareness, their influence on satisfaction and brand equity varies depending on whether consumers notice, understand, and assign meaning to them. From a signaling perspective, signals do not automatically translate into outcomes (Liu et al., 2025); they must first be perceived and interpreted (Khoa et al., 2023). In the fast-food context, most QA measures are operationally embedded and not intentionally designed to educate customers. As such, consumer cognizance is not an outcome of QA but an individual-level condition that varies across consumers and determines how QA signals are processed. Cognizance, therefore, conditions the effectiveness of QA signals rather than transmitting their effects.

The S-O-R model further supports the moderating logic by explaining that consumer cognizance directly affects an organism's cognitive and emotional processing of external stimuli (Mehrabian and Russell, 1974). Two customers may experience the same QA measure, but only the one aware of its significance will translate that stimulus into stronger satisfaction or loyalty. This suggests that when consumer cognizance is high (Elayat and Elalfy, 2025), these cues might be more salient and interpreted as deliberate acts of care and professionalism (Kuo and Helm, 2025) and integrated into the consumer's mental evaluation of the brand (Gaiato et al., 2023). This strengthens the emotional attachment and trust that underpin satisfaction and brand equity (Khoa et al., 2023). Conversely, when cognizance is low, the same QA cues may be ignored, misinterpreted, or attributed to regulatory compliance rather than brand commitment, weakening their potential impact.

Prior findings by Chaudhary et al. (2025) have demonstrated that awareness of environmental practices strengthened their effect on green brand image. Kim (2024) found that customer awareness of hotel sustainability measures increased the impact of those measures on purchase intentions. Gaiato et al. (2023) also showed that consumer knowledge strengthened the influence of brand-related initiatives on brand equity. These studies consistently model awareness or knowledge as a boundary condition rather than a transmission mechanism, reinforcing the appropriateness of a moderating role. This suggests that in the fast-food restaurant context, QA measures are more likely to have a stronger influence on customer satisfaction and brand outcomes when consumer cognizance is high. It is therefore hypothesized that:

This study adopted a quantitative cross-sectional research design to examine the influence of quality assurance measures on customer satisfaction and brand equity and the moderating role of consumer cognizance. The questionnaire used for the study was divided into two sections. Section A contained demographic information, consent to participate, and a statement of anonymity and confidentiality of responses. Section B comprised the measurement items related to the key constructs of the study: quality assurance measures, consumer cognizance, brand equity, and customer satisfaction. To improve response discrimination and limit central-tendency bias commonly associated with odd-point scales, all items were measured on a six-point Likert scale (Nowlis et al., 2002). The use of an even-numbered scale reduces non-committal and socially desirable responses, thereby enhancing overall data quality.

Before conducting the study, ethical approval for the study's procedures, including the measurement items, was obtained from the university's Ethics Committee with ethical approval number ATU_ETHICS_513_24. The participants were informed of the study's aim/objectives, voluntary participation, that the study is a low-risk study, and their right to refuse participation or withdraw at any time. The authors confirm that this study adheres to the relevant ethical guidelines for human subjects and that the anonymity and confidentiality of the participants were maintained throughout the study. The participants were asked not to provide personal identifiers such as names or contact details. They were also informed that the data from the questionnaire would be stored in a password-protected file on Google Drive and would be analyzed and presented in aggregate form only.

The study population comprises consumers of fast-food restaurants aged 18 years and older. Due to a lack of a sampling frame for fast-food restaurant consumers, a non-probability convenience-based sampling approach with purposive screening criteria was employed. Only respondents who had patronized a fast-food restaurant in the past week were eligible to participate, ensuring that all participants had relevant, recent consumption experience. This approach is consistent with prior quantitative studies in service and consumer behavior research in which the target population is undefined, and a sampling frame is unavailable (Coffie et al., 2025). The data were collected between March and May 2025 through an online survey using a structured questionnaire. The link to the questionnaire was distributed through social media platforms, email lists, and customer networks to reach individuals who had patronized fast-food restaurants. Members of the research lab and faculty members of the marketing department were encouraged to share the link with their contacts and social media groups.

The data collection lasted 12 weeks, providing a sufficient window to gather diverse responses across different demographic groups. An attention-check question (“I am not reading this question”) was included to ensure that respondents were reading before answering. Though 1,011 responses were obtained over the 12 weeks, 93 failed the attention-check test and were excluded from the data. A total of 918 valid responses were used for the analysis. Fifty-two (52%) of the respondents are female, 43% are male, and 5% prefer not to disclose their sex. In terms of brand patronage, international chains such as KFC and Chicken Republic, alongside established local brands like Papaye Fast Foods, were well represented, while a substantial proportion of respondents patronized other fast-food outlets, indicating variety in consumer choice and market fragmentation (see Table 1).

All measurement items were adapted from validated instruments in prior studies. Items measuring quality assurance measures were adapted from Ponnaiyan et al. (2021). Consumer cognizance was measured using items adapted from Li et al. (2021). Customer satisfaction was measured using items adapted from Rodríguez-López et al. (2020) and Oliver (1980). Brand equity was assessed using dimensions adapted from Yoo and Donthu (2001). All constructs were revalidated in the current study using confirmatory factor analysis (CFA). Reliability was assessed using Cronbach's alpha and composite reliability (CR), while convergent validity was evaluated through standardized factor loadings and average variance extracted (AVE). Discriminant validity was examined using the heterotrait–monotrait (HTMT) ratio. The results of these analyses, reported in the Results section, indicate that all constructs exhibit satisfactory reliability and validity.

The data was analyzed using SPSS and AMOS version 28.

Since the measures for the study were covered by a single questionnaire, procedural and statistical approaches were followed to mitigate the problem of CMB. Procedurally, an introduction detailing the purpose of the study and definition of the constructs was provided. The respondents were informed that participation was voluntary and were assured of their anonymity and confidentiality. The items were also kept simple to avoid ambiguity. Statistically, Harman's one-factor test was first conducted through exploratory factor analysis. The results show that no single factor explained more than 23% of variance, indicating an absence of CMB (Podsakoff et al., 2003). The marker variable approach (Lindell and Whitney, 2001) was also employed by including a theoretically unrelated marker variable (recreational media usage) in the survey. The results of the correlation analysis between the marker variable and the dependent variables (customer satisfaction: r = 0.072, p > 0.05; brand equity: r = 0.146, p > 0.05) show that CMB was not an issue.

To further assess common method bias, a confirmatory factor analysis (CFA)–based unmeasured latent method factor approach was employed (Podsakoff et al., 2003). A common latent factor was added to the measurement model, allowing all observed items to load simultaneously on their theoretical constructs and on the latent method factor. The model including the latent method factor demonstrated an acceptable fit, but did not result in a meaningful improvement in fit compared to the baseline measurement model (Δχ²/df < 1; ΔCFI <0.01; ΔRMSEA <0.01). The standardized factor loadings and structural path coefficients remained largely unchanged, and the average variance explained by the method factor was substantially lower than that explained by the substantive constructs. These results indicate that common method variance is unlikely to pose a serious threat to the validity of the findings.

Before testing the hypothesized structural relationships, the validity and reliability of the measurement items as well as the fitness of the model were first analyzed. A confirmatory factor analysis (CFA) was conducted using AMOS 28 to validate the measurement properties of the constructs. A full measurement model including all latent constructs (quality assurance measures, consumer cognizance, customer satisfaction, and customer-based brand equity) was estimated simultaneously (Kline, 2015). This is to ensure that all constructs were measured reliably and validly, as required for theory testing using structural equation modeling. The model is deemed fit, as all fit indices are within acceptable ranges. χ²/df = 2.374 (< the 3.0 threshold), CFI = 0.903 (>0.90), NFI = 0.911 (>0.90), TLI = 0.937 (>0.90), SRMR = 0.051 (<0.08), RMSEA = 0.043 (<0.06), and PClose = 0.032 (<0.05). The reliability and validity test results show that Cronbach's alpha (α) and composite reliability values exceeded the minimum recommended threshold of 0.7. The factor loadings and Average Variance Extracted are also above the minimum recommended threshold of 0.5, indicating that the reliability and validity of the items are achieved (Kline, 2015) (Table 2). Discriminant validity was assessed using the HTMT approach (Henseler et al., 2015). Table 3 shows that discriminant validity was achieved as the values are below the recommended threshold of 0.90.

After establishing reliability, validity, discriminant validity, and model fit, the hypothesized direct relationships were examined using AMOS 28. The results (see Table 4 and Figure 2) show that quality assurance measures have a significant positive influence on brand equity (β = 0.219, C.R. = 4.127, p < 0.001) and customer satisfaction (β = 0.232, C.R. = 5.830, p < 0.001), supporting H1 and H2. These findings confirm that back-end quality assurance systems act as effective quality signals that shape both evaluative and attitudinal consumer outcomes.

The hypothesized moderation effects were examined using AMOS 28 by constructing interaction terms between the predictor (quality assurance measures) and moderator (consumer cognizance) variables. Before estimating the interaction effect, the predictor and the moderator were first mean-centered to minimize potential multicollinearity (Ping, 1995). Variance inflation factor (VIF) analysis was conducted to assess potential multicollinearity, with the results (Table 4) showing that the VIF values were below the threshold (>5), indicating that multicollinearity was not a concern. The moderating results (see Table 4) show that consumers' cognizance has a significant interactive effect on the relationship between quality assurance measures and brand equity (β = 0.348, C.R. = 8.211, p < 0.001) as well as on the relationship between quality assurance and customer satisfaction (β = 0.394, C.R. = 6.970, p < 0.001). As shown in both Figures 3 and 4, the findings indicate that the positive effects of quality assurance measures on both outcomes are amplified with higher levels of consumers' cognizance. Thus, quality assurance systems are not uniformly effective; rather, their impact depends on consumers' ability to notice, understand, and integrate quality signals. H3 and H4 are therefore supported.

The primary objective of this study was to examine the impact of quality assurance measures on customer satisfaction and brand equity in the fast-food industry, and the moderating effect of consumer cognizance. While prior studies have extensively examined the influence of customer-facing quality measures on customer satisfaction and brand equity, limited attention is given to back-end quality assurance measures.

The results provide empirical evidence that quality assurance measures exert a significant positive effect on both customer satisfaction and brand equity. This finding extends earlier work that emphasized observable service encounters (e.g. Kuo and Helm, 2025) by showing that operational systems operating behind the scenes also meaningfully shape consumer evaluations. This suggests that consistent implementation of quality assurance measures, such as food safety protocols, hygiene standards, ingredient sourcing, and supplier audits, positively influences customers' perceptions and evaluations of a fast-food brand. This could be explained by the increasing health consciousness among consumers, particularly post-COVID-19 (Jhamb et al., 2023), where food safety and hygiene have become more salient in customers' evaluations. When fast-food brands maintain visible and trustworthy quality assurance practices, customers are more likely to form favorable brand associations, trust the brand, and perceive it as differentiated from competitors (Lu and Cai, 2023).

Consistent with studies conducted in developed-market contexts, which link perceived quality and operational consistency to brand equity (Šerić and Gil-Saura, 2019; Lu and Cai, 2023), the present findings confirm that quality assurance-related practices significantly contribute to favorable brand perceptions. The study adds to context-specific insight by showing that, in an emerging-market fast-food environment, QA signals may play an even more pronounced role in shaping satisfaction and brand value. In such contexts, where regulatory enforcement and service standardization are often perceived as uneven or weak (Donadelli and Van der Heijden, 2024), visible and credible QA practices may serve as particularly strong trust signals that differentiate brands and reduce perceived consumption risk.

The moderating effect of consumer cognizance further extends empirical evidence. While prior studies have shown that awareness strengthens the impact of brand signal in sustainability and hospitality contexts (Chaudhary et al., 2025; Gaiato et al., 2023), the current study demonstrates that this logic extends to fast-food QA systems in emerging-marketing settings. The findings specifically indicate that QA measures are not uniformly effective; their influence on satisfaction and brand equity is significantly stronger when consumers are aware of and understand these measures/practices. It also suggests that the relevance of QA signals may be heightened in post-COVID-19 fast-food markets, where concerns about hygiene and food safety have become more salient. The study also advanced the existing literature (Dabral et al., 2025) by offering a more nuanced understanding to show that while quality assurance measures could serve as important signals for explaining unobservable quality attributes and influence restaurant brand perceptions, the impact is stronger when combined with an awareness creation mechanism.

This study makes some important theoretical contributions to the fast-food restaurant literature (Jhamb et al., 2023; Yin, 2025). Drawing on the signaling theory and the S-O-R model, the study offers a framework for understanding how quality assurance measures function not only as operational mechanisms but also as strategic brand-building tools, especially when moderated by consumer cognizance. From the S-O-R model's perspective, consumers (organisms) do not respond uniformly to environmental stimuli; instead, their cognitive and affective processing determines the strength of subsequent attitudinal and behavioral responses (Mehrabian and Russell, 1974). Building on this logic, the study extends signaling theory by showing that while brand signals like quality assurance measures can reduce information asymmetry and enhance customer satisfaction and perceived brand value, these effects are stronger when paired with consumer cognizance initiatives.

The study advances the literature by repositioning back-end operational quality assurance systems as a brand-building tool. While much of the existing research has examined the impact of observable frontline service encounters on customer satisfaction (e.g. Chuah and Soeiro, 2025), fewer studies have specifically examined how back-end quality assurance measures shape brand meaning when made cognitively visible. The study contributes to the branding and service quality literature by empirically showing that quality assurance is a latent brand signal and a strategic resource for enhancing customer satisfaction and perceived brand equity. Operational systems are not merely performance enablers; they are meaning-creation mechanisms.

The study demonstrates that the influence of back-end quality assurance systems on customer satisfaction and brand equity is fundamentally contingent rather than automatic. While QA measures serve as important operational and signaling mechanisms (Chaudhary et al., 2025), their brand-building potential depends critically on consumer cognizance. By empirically establishing consumer cognizance as a boundary condition, the study shows that identical quality assurance systems can generate heterogeneous outcomes across consumers. This insight challenges the implicit assumption that operational excellence uniformly translates into positive brand perceptions. Instead, the findings suggest that quality assurance becomes strategically meaningful only when it is cognitively activated and interpreted by consumers. In doing so, the study integrates signaling theory and the S-O-R model to explain not merely whether QA influences brand outcomes, but under what conditions and for whom such influence is strongest.

The findings from this study offer some valuable implications for managers of fast-food brands. The significant interactive effect of consumer cognizance on the relationship between quality assurance measures and customer satisfaction and brand equity suggests that quality assurance investments do not generate uniform returns; rather, their effectiveness depends on customer awareness and interpretive capacity. This highlights the importance of communicating quality assurance measures and making them as visible and understandable as possible to customers. Even the most rigorous internal standards may go unnoticed and underappreciated if not effectively communicated.

For high-cognizance customers, such as health-conscious, digitally engaged, or repeat patrons, managers should adopt information-rich quality assurance communication strategies. These customers are more likely to process detailed cues related to sourcing standards, food safety certifications, staff training systems, and audit procedures. Digital touchpoints such as brand websites, mobile apps, social media, and QR-code-enabled disclosures are particularly effective for this segment, allowing brands to communicate depth without overcrowding the in-store experience.

For low-cognizance customers, including impulse buyers or time-pressured dine-in patrons, quality assurance communication should rely on simple, highly visible cues that function as heuristic signals of trust. These include clear hygiene ratings, staff compliance with visible safety protocols, standardized uniforms, and clean, orderly preparation spaces. At physical dine-in touchpoints, subtle but consistent visual signals may be more effective than detailed explanations. The findings are especially relevant in the post-COVID context, where consumer trust in food safety remains fragile. Managers should leverage quality assurance communication as part of trust-rebuilding strategies, explicitly signaling how current practices protect customer well-being, doing so enhances satisfaction but also reinforces brand credibility in a risk-sensitive environment.

Quality assurance visibility can serve as a brand defense mechanism during service failures. When consumers are already aware of a brand's rigorous quality assurance systems, isolated service failures are more likely to be interpreted as accidental rather than systemic failures. Managers should therefore integrate quality assurance messaging into crisis communication strategies, reinforcing the brand's underlying commitment to safety and consistency when problems arise. Managers are also encouraged to treat consumer cognizance as a strategic performance metric, alongside satisfaction and service quality. Customer feedback systems should assess not only service experiences but also customers' awareness of quality assurance practices. Identifying gaps between internal quality assurance efforts and external consumer understanding enables managers to fine-tune communication strategies, ensuring that operational excellence translates into perceptible brand value.

While the study examined and found that quality assurance measures are a significant predictor of brand equity and customer satisfaction, how these measures influence these outcomes has not been examined. Future research should examine how various quality assurance measures influence brand equity and consumer satisfaction. The study examined the interactive effect of consumer cognizance on the relationships between QA measures, brand equity, and customer satisfaction. Other potential moderators, like sustainability perception, should be examined by future research. The use of a non-probability convenience sampling approach may limit the generalizability of the findings beyond the sampled population. Although this approach is consistent with prior consumer research in service contexts, future studies should consider probability-based sampling techniques to enhance external validity. Additionally, given the cross-sectional nature of the data, causal inferences over time remain limited. Longitudinal designs could provide deeper insight into how consumer cognizance and quality assurance perceptions evolve and influence satisfaction and brand equity over repeated service encounters.

Ethical approval for the conduct of the study was obtained from the Ethics Committee of Accra Technical University. Ethics number: ATU_ETHICS_513_24.