This study examines how port service quality (SER), port security quality (SEC) and customer satisfaction (SAT) interact to influence port competitiveness (COM) in the context of Vietnam's container port industry. It seeks to provide new theoretical and empirical insights into how ports can achieve a sustainable competitive advantage by integrating service excellence and security within a customer-centric framework.
The research adopts partial least squares structural equation modeling (PLS-SEM) using SmartPLS 4 to test the proposed model. A structured survey was conducted with 259 valid responses collected from key stakeholders in Vietnam's port sector, including shipping lines, logistics service providers and cargo owners, between October 2024 and January 2025. Data collection employed a mixed-method strategy, combining online and face-to-face outreach with support from relevant industry associations.
The findings confirm that SER is a core driver of both SAT and COM, functioning through direct and mediated pathways. SEC, while not directly influencing competitiveness, significantly affects customer satisfaction, which in turn fully mediates its impact on competitiveness. These results highlight the indirect yet strategic role of security in shaping customer perceptions and trust, reinforcing the centrality of satisfaction as a conduit linking both service and security to competitive outcomes.
This study contributes to the literature by integrating service and security dimensions within a unified model of port competitiveness. It reframes port security from a regulatory necessity into a strategic enabler of perceived value. By emphasizing the mediating role of customer satisfaction, it extends service-dominant logic and customer value theory into a maritime logistics context, offering practical implications for ports in emerging economies to evolve into service-oriented, security-aware competitive hubs.
1. Introduction
In the 21st-century, ports have evolved from simple cargo gateways into strategic hubs that shape global trade, regional development, and national competitiveness. Handling over 80% of global merchandise by volume, they face rising demands to operate efficiently, securely and responsively amid a rapidly changing logistics landscape (Nguyen and Woo, 2022).
This pressure is even stronger in emerging economies like Vietnam, where seaports are vital drivers of growth. Rapid industrialization, rising FDI and an expanding export base have sharply increased demand for high-performing ports (Le, 2022). Recent studies highlight that competitiveness depends not only on throughput and infrastructure but also on reliable services, strong security, and network connectivity (Vo et al., 2025; De Martino, 2018). Ports that offer efficient, reliable and connectivity services are more likely to become preferred ports of call, reinforcing competitiveness as the ability to meet market expectations at a reasonable cost.
Vietnam's maritime network includes 34 seaports, with Hai Phong and Cai Mep designated as special-class ports and eleven others, such as Quang Ninh, Da Nang and Ho Chi Minh City, classified as Class I in key economic regions (Figure 1). The rest comprise seven Class II and fourteen Class III ports. This classification, based on functional importance and capacity using a 100-point scoring system, was formalized under (Decision No. 804/QĐ-TTg, 2022).
The map of Vietnam is centered on the page. At the top right of the map is a label, “Quang Ninh seaport”, marked with an anchor icon. Slightly below and to the right is a callout box connected to the northern coast. The callout box is labeled “Hai Phong Intl. Port” and contains the following text lines: “Throughput: 7.15 million T E U s”, “Quays: 19”, “Ship size: 55,000 D W T”, and “Global Ranking 2024: 29th”. Moving downward along the coastline, anchor icons and labels appear reading “Thanh Hoa seaport”, “Nghe An seaport”, and “Ha Tinh seaport”. Further down the coast, another anchor icon is labeled “Da Nang seaport”, followed by “Quang Ngai seaport”, “Binh Dinh seaport”, and “Khanh Hoa seaport”. Near the bottom right coastline, an anchor icon is labeled “Dong Nai seaport”. At the southern portion of the map, a callout box connected to the coast is labeled “Cai Mep Intl. Port” and contains the text: “Throughput: 7.08 million T E U s”, “Quays: 23”, “Ship size: 160,000 D W T”, and “Global Ranking 2024: 30th”. In the lower left coastal area, an anchor icon is labeled “Can Tho seaport”. Slightly above it, another callout box is labeled “Sai Gon Port” and contains the text: “Throughput: 9.16 million T E U s”, “Quays: 15”, “Ship size: 30,000 D W T”, and “Global Ranking 2024: 22nd”.Map of Vietnam's special and class I seaports
The map of Vietnam is centered on the page. At the top right of the map is a label, “Quang Ninh seaport”, marked with an anchor icon. Slightly below and to the right is a callout box connected to the northern coast. The callout box is labeled “Hai Phong Intl. Port” and contains the following text lines: “Throughput: 7.15 million T E U s”, “Quays: 19”, “Ship size: 55,000 D W T”, and “Global Ranking 2024: 29th”. Moving downward along the coastline, anchor icons and labels appear reading “Thanh Hoa seaport”, “Nghe An seaport”, and “Ha Tinh seaport”. Further down the coast, another anchor icon is labeled “Da Nang seaport”, followed by “Quang Ngai seaport”, “Binh Dinh seaport”, and “Khanh Hoa seaport”. Near the bottom right coastline, an anchor icon is labeled “Dong Nai seaport”. At the southern portion of the map, a callout box connected to the coast is labeled “Cai Mep Intl. Port” and contains the text: “Throughput: 7.08 million T E U s”, “Quays: 23”, “Ship size: 160,000 D W T”, and “Global Ranking 2024: 30th”. In the lower left coastal area, an anchor icon is labeled “Can Tho seaport”. Slightly above it, another callout box is labeled “Sai Gon Port” and contains the text: “Throughput: 9.16 million T E U s”, “Quays: 15”, “Ship size: 30,000 D W T”, and “Global Ranking 2024: 22nd”.Map of Vietnam's special and class I seaports
According to (Decision No. 140/QĐ-TTg, 2025) on the detailed planning of seaport groups for the period 2021–2030, with a vision to 2050, Vietnam's seaport system is organized into five main groups: (1) the Northern region, (2) the North Central Coast, (3) the South Central Coast, (4) the Southeast region and (5) the Mekong Delta. The plan targets a modern, synchronized network capable of meeting growing domestic and international maritime transport needs. Container throughput in Vietnam has expanded substantially, rising from 11.1 million TEUs in 2014 to 30.0 million TEUs in 2024, and is projected to reach 50.0 million TEUs by 2030 (Vietnam Maritime Administration, 2024). According to Lloyd Maritime Company (2024), three Vietnamese ports – Saigon Port (22nd), Hai Phong Port (29th) and Cai Mep Port (30th) – are now among the world's top 50 in cargo throughput.
This growth is fueled by trade liberalization, manufacturing expansion and shifts in global supply chains. While planning and regulation remain state-led, operations increasingly involve SOEs and public–private partnerships, especially in major hubs like Cai Mep–Thi Vai and Lach Huyen. Rapid expansion has also exposed challenges, including uneven service quality, fragmented infrastructure and inconsistent security enforcement.
The issue is not just capacity but also competitiveness, especially in service quality, security and international alignment. Competitiveness today extends beyond throughput or infrastructure to the ability to provide reliable, secure and high-quality services. Shipping lines, freight forwarders and cargo owners now expect fast turnaround, safe cargo handling, and smooth regulatory compliance. In this service-driven environment, port service quality (SER) and port security quality (SEC) have become key determinants of customer satisfaction, loyalty and port choice (Chang and Thai, 2016).
Although their importance is increasingly recognized, research has largely treated port service quality and port security quality as separate topics. Service quality has been widely examined through models like SERVQUAL and ROPMIS (Le et al., 2020; Phan et al., 2021; Roh et al., 2025; Thai, 2008; Ugboma et al., 2004), while security studies focus mainly on compliance with frameworks such as the ISPS Code, C-TPAT and CSI (Chang and Thai, 2016; Chlomoudis et al., 2011; Yeo et al., 2013). Yet, few studies explore how these dimensions interact or jointly influence port competitiveness (Chang and Thai, 2016). This gap is especially significant in emerging economies like Vietnam, where rapid trade growth, institutional reforms and evolving security demands (Le and Nguyen, 2020) create conditions that cannot be understood by examining service or security alone.
This study fills this gap by examining how port service quality and port security quality interact to shape customer satisfaction and how satisfaction subsequently influences port competitiveness. It introduces port security quality as a service-oriented construct, emphasizing users' perceptions of security effectiveness rather than mere regulatory compliance. Based on service marketing and maritime logistic literature, this study proposes a conceptual model to test these relationships in the Vietnamese port sector.
Focusing on Vietnam, one of Southeast Asia's fastest-growing economies with a strategic location, strong manufacturing base and expanding logistics infrastructure (Nguyen et al., 2024), the study offers practical insights for port authorities and logistics professionals seeking to boost competitiveness through integrated service and security improvements. Academically, it bridges two traditionally separate research streams by developing a unified framework that strengthens the theoretical understanding of port competitiveness and provides actionable guidance for achieving sustainable competitive advantage.
2. Literature review and hypothesis development
2.1 Port service quality
In today's complex, customer-driven maritime logistic environment, port service quality (SER) is a key driver of operational performance and customer satisfaction. Rather than focusing only on infrastructure or throughput, SER reflects how well ports meet user expectations across multiple service dimensions.
Service quality assessment in ports builds on foundational service management theories, which view quality as users' perceived performance relative to expectation (Grönroos, 1984; Parasuraman et al., 1988). Although early models like SERVQUAL and SERVPERF have been applied, their suitability for port operations has been questioned, leading to the development of port-specific frameworks. Studies have proposed various dimensions, from efficiency, timeliness, and safety (Compés López and Poole, 1998) to information access, turnaround time, infrastructure, and cost (Ha, 2003). More recently, the ROPMIS model (Thai, 2008) has become a widely used tool for evaluating service quality in maritime settings. Research consistently shows that higher SER enhances customer satisfaction and broader social outcomes (Le et al., 2020; Phan et al., 2021; Roh et al., 2025; Thai, 2016).
In Vietnam, service quality is shaped by national policies, such as (Decision No. 1579/QD-TTg, 2021) on seaport system development and (Circular No. 54/2018/TT-BGTVT, 2018) on service standards, and by corporate strategies that emphasize digitalization, streamlined procedures, and improved customer care (FPT Securities, 2025). These frameworks aim to strengthen service competitiveness, support global supply chain integration, and align with Vietnam's logistics development goals (Decision No. 200/QĐ-TTg, 2017). Investments in SER therefore not only enhance port operations but also reinforce long-term competitiveness in national and international trade.
2.2 Port security quality
Port security quality (SEC) is an emerging but underdeveloped concept in maritime research, referring to the service level of security operations in ports. Although port security has been widely examined, SEC remains poorly defined (Chang and Thai, 2016). Past studies often treat security as one element of overall service quality (Irvine and Levin, 2001; Levin and Irvine, 2005), but growing threats, including terrorism, smuggling, piracy, cyberattacks, etc., highlight the need to understand security performance as a distinct service dimension. SEC covers both compliance with international frameworks (ISPS Code, MTSA, CSI, C-TPAT, SAFE Framework, EU Regulation 725/2004, AEO programs) and the operational effectiveness of risk management, technologies, procedures and personnel (Sadovaya and Thai, 2012). identify three key dimensions: facility security (CCTV, RFID, non-intrusive inspections, EDI systems), personnel management (training and drills) and security procedures (inspection protocols, incident reporting, document control). In Vietnam, security practices are guided by the Maritime Code (2015), the Law on Maritime Traffic Safety (2015), Decree No. 58/2017/ND-CP and Circular No. 13/2017/TT-BGTVT on ISPS compliance (Securities LPBANK, 2025).
Despite regulatory progress and new technologies, port security still lacks standardized assessment indicators and customer-oriented aspects – timely response, clear procedures and smooth coordination – remain underemphasized. Treating SEC as a measurable, service-focused concept may help align regulatory requirements with evolving expectations in global maritime logistics (Chang and Thai, 2016).
2.3 Customer satisfaction
Customer satisfaction is widely recognized as the outcome of comparing expectations with actual experiences (Anderson and Fornell, 1994; Oliver, 1980). When services meet or exceed expectations, satisfaction leads to customer loyalty, and in contrast, unmet expectations result in dissatisfaction and complaints (Hallowell, 1996).
In the context of port services, satisfaction is particularly tied to the quality and speed of good distribution. Efficient operations supported by reliable infrastructure, advanced logistics technologies and well-managed resources are crucial to ensuring timely delivery and dependable supply chains (Roh et al., 2025). High satisfaction in this sector not only improves service performance but also enhances a port's competitiveness in global trade (Panayides, 2006). emphasized that the primary goal of logistics is to boost customer satisfaction through high service quality at a low operational cost. In the maritime logistics sector, increasing attention has been given to identifying the key factors that influence customer satisfaction (Alsalfiti and Notteboom, 2025; Le et al., 2020; Lee et al., 2016; Thai, 2016). Overall, the literature highlights that consistent delivery of efficient, reliable and customer-oriented port services is essential for achieving and sustaining high customer satisfaction levels.
2.4 Port competitiveness
Port competitiveness is a multidimensional concept shaped by infrastructure quality, operational efficiency, service performance, market orientation and long-term adaptability. Scholars have examined it from various perspectives, from physical and cost advantages (Heaver, 1995) to value creation (Huang et al., 2003) and responsiveness to market demand (Notteboom and Yap, 2012; Chang and Talley, 2019), further highlighting competitiveness as a port's relative position within a network of alternatives, stressing interport rivalry and differentiation. More recent customer- and supply chain–focused research shows that competitiveness now depends less on throughput or infrastructure and more on a port's ability to deliver reliable, secure, seaport connectivity and well-integrated services (Vo et al., 2025; De Martino, 2018).
To structure this expanding field (Yu et al., 2023), identified four major research streams: performance evaluation, port choice behavior, competitive strategy and inter-port competition, areas increasingly influenced by digitalization, green port initiatives and supply chain resilience. Synthesizing these perspectives, port competitiveness can be viewed across five domains: market reach, operational efficiency, strategic collaboration, customer-focused services and sustainability. This framework reflects the evolving nature of competitiveness amid rapid technological change, environmental pressures and shifting global trade patterns and highlights the need for integrated, future-oriented research.
2.5 Hypothesis development
2.5.1 Port service quality and its impact
SER plays a pivotal role in shaping both customer satisfaction and operational success within maritime logistics (Grönroos, 1984; Parasuraman et al., 1988; Ha, 2003; Thai, 2008). High service quality reduces delays, enhances reliability and ensures accurate, timely information flow-factors that directly influence customers' perceptions of value and trust in port operations (Le et al., 2020; Phan et al., 2021; Thai, 2016). Conversely, poor service quality, such as inconsistent vessel turnaround times or inadequate infrastructure, can create operational bottlenecks, erode customer trust and diminish competitiveness. Traditionally measured by physical throughput and infrastructure capacity, the concept has evolved to include timeliness, reliability, access to accurate information, infrastructure adequacy and responsiveness to customer needs (Grönroos, 1984; Parasuraman et al., 1988; Ha, 2003; Thai, 2008). When ports deliver services that meet or exceed user expectations, customers are more likely to remain loyal and recommend the port, thereby enhancing its competitive position in the global logistics network. As such
Port service quality directly influences ports' customer satisfaction.
Port service quality directly influences port competitiveness.
2.5.2 Port security quality and its impact
While traditionally treated as a subset of overall service quality, SEC has emerged as a distinct factor critical to safeguarding port operations (Chang and Thai, 2016; Sadovaya and Thai, 2012). Effective security mitigates risks such as terrorism, smuggling, cyberattacks, and cargo theft, which can disrupt operations and damage a port's reputation (Munyai and Govender, 2024). Strong security protocols, when implemented efficiently, can foster trust among customers, reduce the risk of cargo loss and ensure uninterrupted trade flows (Sarathy, 2006; Sheu et al., 2006). These outcomes enhance perceived service reliability and can indirectly strengthen competitiveness. However, excessive or poorly managed security procedures may cause delays or increase operational costs, potentially lowering customer satisfaction and diminishing the competitive advantage (Udeh, 2024). Thus
Port security quality directly influences ports' customer satisfaction.
Port security quality directly influences port competitiveness.
2.5.3 Customer satisfaction as a driver of competitiveness
Customer satisfaction, defined as the post-consumption evaluation of whether service expectations are met or exceeded (Oliver, 1980; Anderson and Fornell, 1994), is central to long-term port success. High satisfaction levels are linked to increased customer loyalty, positive word of mouth and repeated usage, factors that enhance a port's market position and competitiveness (Roh et al., 2025; Panayides, 2006; Thai, 2016). Conversely, dissatisfaction can quickly lead to loss of business to competing ports. Thus, customer satisfaction is both an outcome of quality service delivery and a strategic driver of competitiveness.
Customer satisfaction positively influences port competitiveness.
2.5.4 Mediating role of customer satisfaction
Customer satisfaction can serve as a critical link between quality improvements and competitive outcomes. Ports with high service quality and robust security are likely to generate higher satisfaction, which, in turn, motivates customers to maintain long-term relationships and choose the port over alternatives. From a causal perspective, service quality improvements enhance operational efficiency and responsiveness (Le et al., 2020; Phan et al., 2021; Thai, 2016), while effective security increases perceived safety and reliability (Chang and Thai, 2016; Sadovaya and Thai, 2012). Both factors strengthen satisfaction, which then translates into competitive advantage through repeat business and customer advocacy (Le et al., 2020; Roh et al., 2025). Conversely, if service or security quality declines, satisfaction will likely drop, weakening the port's market position.
Customer satisfaction mediates the relationship between port service quality and port competitiveness.
Customer satisfaction mediates the relationship between port security quality and port competitiveness.
The proposed research model is presented in Figure 2.
The diagram shows two text boxes on the left side arranged vertically. The upper left box is labeled “Port Service Quality (S E R)”. The lower left box is labeled “Port Security Quality (S E C)”. To the right of these boxes, near the upper center, is a text box labeled “Customer Satisfaction (S A T)”. From “Port Service Quality (S E R)”, a diagonal arrow labeled “H 1 a” points to “Customer Satisfaction (S A T)”. Another diagonal arrow from “Port Service Quality (S E R)”, labeled “H 1 b”, points to a text box on the right labeled “Port Competitiveness (C O M)”. From “Port Security Quality (S E C)”, a diagonal arrow labeled “H 2 a” points upward to “Customer Satisfaction (S A T)”. Another diagonal arrow from “Port Security Quality (S E C)”, labeled “H 2 b”, points to “Port Competitiveness (C O M)”. From “Customer Satisfaction (S A T)”, a rightward diagonal arrow labeled “H 3” points to “Port Competitiveness (C O M)”. Additional arrows from “Port Service Quality (S E R)” and “Port Security Quality (S E C)” labeled “H 4 a, b” point to “Port Competitiveness (C O M)” via “Customer Satisfaction (S A T)”.The proposed research model
The diagram shows two text boxes on the left side arranged vertically. The upper left box is labeled “Port Service Quality (S E R)”. The lower left box is labeled “Port Security Quality (S E C)”. To the right of these boxes, near the upper center, is a text box labeled “Customer Satisfaction (S A T)”. From “Port Service Quality (S E R)”, a diagonal arrow labeled “H 1 a” points to “Customer Satisfaction (S A T)”. Another diagonal arrow from “Port Service Quality (S E R)”, labeled “H 1 b”, points to a text box on the right labeled “Port Competitiveness (C O M)”. From “Port Security Quality (S E C)”, a diagonal arrow labeled “H 2 a” points upward to “Customer Satisfaction (S A T)”. Another diagonal arrow from “Port Security Quality (S E C)”, labeled “H 2 b”, points to “Port Competitiveness (C O M)”. From “Customer Satisfaction (S A T)”, a rightward diagonal arrow labeled “H 3” points to “Port Competitiveness (C O M)”. Additional arrows from “Port Service Quality (S E R)” and “Port Security Quality (S E C)” labeled “H 4 a, b” point to “Port Competitiveness (C O M)” via “Customer Satisfaction (S A T)”.The proposed research model
3. Research methodology
3.1 The measurement items
The study adapted and refined measurement items from prior research, ensuring linguistic and conceptual equivalence through a rigorous back-translation process with two independent bilingual expert groups (Bulmer and Donal, 2005). Two independent groups of bilingual experts conducted the translation and back-translation of the original English-language items, thereby ensuring semantic consistency and minimizing potential misinterpretations.
An initial set of 32 items across four constructs was reviewed by 15 maritime experts, including academics, shipping lines, freight forwarders and logistics providers for clarity, contextual relevance to Vietnam, and construct alignment (Table 1).
Description of expert panel for measurement validation and surveyed samples
| Variable | N = 15 | % | Variable | N = 259 | % |
|---|---|---|---|---|---|
| Expert panel for measurement validation | Surveyed sample | ||||
| Gender | Gender | ||||
| Male | 9 | 60% | Male | 152 | 58.7% |
| Female | 6 | 40% | Female | 107 | 41.3% |
| Working experience | Working experience | ||||
| <5 years | 0 | <5 years | 111 | 42.86% | |
| 5–10 years | 5 | 33.33% | 5–10 years | 98 | 37.84% |
| >10 years | 10 | 66.67% | >10 years | 50 | 19.30% |
| Line of Business | Types of customer | ||||
| Maritime Business and Logistics Education and Research | 4 | 26.67% | Shipping lines | 63 | 24.32% |
| Port Operations and Management | 3 | 20% | Freight forwarders | 66 | 25.48% |
| Freight Forwarding and Logistics | 5 | 33.33% | Logistics service providers | 60 | 23.17% |
| Shipping and Logistics | 3 | 20% | Cargo owners | 70 | 27.03% |
| Job title | Job title | ||||
| Senior Lecturers | 4 | 26.67% | Operations Manager | 85 | 32.82% |
| Port Operations Managers | 3 | 20% | Logistics Coordinator | 74 | 28.57% |
| Senior Logistics Managers | 5 | 33.33% | Port Security Officer | 42 | 16.22% |
| Business Development Director | 3 | 20% | Other (e.g. Marketing Managers, Analyst) | 58 | 22.39% |
| Working place | Working place | ||||
| Universities | 4 | 26.67% | Cat Lai Port Cluster, Ho Chi Minh City | 102 | 39.38% |
| Freight Forwarding and Logistics companies | 5 | 33.33% | Cai Mep–Thi Vai Port Cluster | 67 | 25.87% |
| Ports | 3 | 20% | Hai Phong Port Cluster | 54 | 20.85% |
| Shipping and Logistics companies | 3 | 20% | Other Vietnamese Seaports | 36 | 13.90% |
| Variable | N = 15 | % | Variable | N = 259 | % |
|---|---|---|---|---|---|
| Expert panel for measurement validation | Surveyed sample | ||||
| Gender | Gender | ||||
| Male | 9 | 60% | Male | 152 | 58.7% |
| Female | 6 | 40% | Female | 107 | 41.3% |
| Working experience | Working experience | ||||
| <5 years | 0 | <5 years | 111 | 42.86% | |
| 5–10 years | 5 | 33.33% | 5–10 years | 98 | 37.84% |
| >10 years | 10 | 66.67% | >10 years | 50 | 19.30% |
| Line of Business | Types of customer | ||||
| Maritime Business and Logistics Education and Research | 4 | 26.67% | Shipping lines | 63 | 24.32% |
| Port Operations and Management | 3 | 20% | Freight forwarders | 66 | 25.48% |
| Freight Forwarding and Logistics | 5 | 33.33% | Logistics service providers | 60 | 23.17% |
| Shipping and Logistics | 3 | 20% | Cargo owners | 70 | 27.03% |
| Job title | Job title | ||||
| Senior Lecturers | 4 | 26.67% | Operations Manager | 85 | 32.82% |
| Port Operations Managers | 3 | 20% | Logistics Coordinator | 74 | 28.57% |
| Senior Logistics Managers | 5 | 33.33% | Port Security Officer | 42 | 16.22% |
| Business Development Director | 3 | 20% | Other (e.g. Marketing Managers, Analyst) | 58 | 22.39% |
| Working place | Working place | ||||
| Universities | 4 | 26.67% | Cat Lai Port Cluster, Ho Chi Minh City | 102 | 39.38% |
| Freight Forwarding and Logistics companies | 5 | 33.33% | Cai Mep–Thi Vai Port Cluster | 67 | 25.87% |
| Ports | 3 | 20% | Hai Phong Port Cluster | 54 | 20.85% |
| Shipping and Logistics companies | 3 | 20% | Other Vietnamese Seaports | 36 | 13.90% |
Based on their feedback, items were reworded for precision and cultural appropriateness. The finalized set (SEC: 11; SER: 10; SAT: 5; COM: 6) was validated by the same panel. Table 2 summarizes all variables, their descriptions, and sources. All items were measured using a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).
Summary of reliability and validity metrics for constructs
| Scale items | Outer loadings | Cronbach's alpha, rho_A, composite reliability, average variance extracted |
|---|---|---|
| Port security quality (SEC), adapted from Chang and Thai (2016) | ||
| SEC1. The use of technological security tools (e.g. RFID, non-intrusive container inspection) significantly enhances port security | 0.870 | Cronbach's alpha = 0.919, rho_A = 0.922, CR = 0.932 AVE = 0.680 |
| SEC2. Implementing information security systems (e.g. EDI) greatly improves security quality | 0.706 | |
| SEC3. Deployment of physical security equipment (e.g. CCTV, access control) substantially strengthens security | 0.811 | |
| SEC4. Staff with professional security knowledge contribute significantly to improved port security | 0.782 | |
| SEC5. Staff who demonstrate professional conduct in security operations enhance the overall security quality | 0.797 | |
| SEC6. Staff who are committed and proactive in addressing security issues positively impact security effectiveness | 0.789 | |
| SEC7. Fast cargo scanning systems significantly boost security quality | 0.758 | |
| SEC8. Streamlined procedures for managing security documents improve port security | 0.718 | |
| SEC9. Quick response to security-related issues ensures stronger protection | 0.708 | |
| SEC10. Strict cargo scanning procedures are vital to maintaining high security standards | 0.723 | |
| SEC11. Rigid controls over security document management further strengthen port security | 0.702 | |
| Port service quality (SER), adapted from Chang and Thai (2016) | ||
| SER1. The port is equipped with adequate and up-to-date facilities | 0.820 | Cronbach's alpha = 0.919, rho_A = 0.925, CR = 0.932 AVE = 0.656 |
| SER10. The port is known for its environmentally responsible management practices | 0.744 | |
| SER2. The port provides shipment tracking and tracing capabilities | 0.743 | |
| SER3. The port demonstrates a high level of operational efficiency | 0.838 | |
| SER4. The port offers prompt services and responds quickly to customer needs | 0.705 | |
| SER5. The port delivers reliable and consistent service performance | 0.706 | |
| SER6. The port ensures the safety and security of both ships and cargo | 0.771 | |
| SER7. Port staff exhibit professional knowledge and a customer-focused attitude | 0.808 | |
| SER8. The port actively gathers customer feedback and continuously improves its customer service processes | 0.798 | |
| SER9. The port is recognized for its strong commitment to social responsibility | 0.702 | |
| Customer satisfaction (SAT), adapted from Roh et al. (2025) | ||
| SAT1. Overall, we are satisfied with the port's facilities, equipment, and infrastructure | 0.890 | Cronbach's alpha = 0.917, rho_A = 0.922, CR = 0.938 AVE = 0.751 |
| SAT2. Overall, we are satisfied with the management and staff of the port | 0.794 | |
| SAT 3. Overall, we are satisfied with the quality of services provided by the port | 0.885 | |
| SAT 4. We are willing to recommend the port's services to our business partners | 0.865 | |
| SAT 5. We intend to continue using the port's services in the future | 0.893 | |
| Port competitiveness (COM), adapted from Lee et al. (2016) | ||
| COM1. The port helps reduce our company's logistics costs | 0.924 | Cronbach's alpha = 0.937, rho_A = 0.942, CR = 0.950 AVE = 0.761 |
| COM2. The port enhances the overall quality of our logistical services | 0.841 | |
| COM3. The port responds promptly to customer requests and demands | 0.917 | |
| COM4. The port adapts flexibly to environmental changes and unforeseen disruptions | 0.812 | |
| COM5. The port consistently integrates innovative technologies and processes | 0.875 | |
| COM6. The market share of the port we utilize has expanded | 0.861 | |
| Scale items | Outer loadings | Cronbach's alpha, rho_A, composite reliability, average variance extracted |
|---|---|---|
| Port security quality (SEC), adapted from | ||
| SEC1. The use of technological security tools (e.g. RFID, non-intrusive container inspection) significantly enhances port security | 0.870 | Cronbach's alpha = 0.919, rho_A = 0.922, |
| SEC2. Implementing information security systems (e.g. EDI) greatly improves security quality | 0.706 | |
| SEC3. Deployment of physical security equipment (e.g. CCTV, access control) substantially strengthens security | 0.811 | |
| SEC4. Staff with professional security knowledge contribute significantly to improved port security | 0.782 | |
| SEC5. Staff who demonstrate professional conduct in security operations enhance the overall security quality | 0.797 | |
| SEC6. Staff who are committed and proactive in addressing security issues positively impact security effectiveness | 0.789 | |
| SEC7. Fast cargo scanning systems significantly boost security quality | 0.758 | |
| SEC8. Streamlined procedures for managing security documents improve port security | 0.718 | |
| SEC9. Quick response to security-related issues ensures stronger protection | 0.708 | |
| SEC10. Strict cargo scanning procedures are vital to maintaining high security standards | 0.723 | |
| SEC11. Rigid controls over security document management further strengthen port security | 0.702 | |
| Port service quality (SER), adapted from | ||
| SER1. The port is equipped with adequate and up-to-date facilities | 0.820 | Cronbach's alpha = 0.919, rho_A = 0.925, |
| SER10. The port is known for its environmentally responsible management practices | 0.744 | |
| SER2. The port provides shipment tracking and tracing capabilities | 0.743 | |
| SER3. The port demonstrates a high level of operational efficiency | 0.838 | |
| SER4. The port offers prompt services and responds quickly to customer needs | 0.705 | |
| SER5. The port delivers reliable and consistent service performance | 0.706 | |
| SER6. The port ensures the safety and security of both ships and cargo | 0.771 | |
| SER7. Port staff exhibit professional knowledge and a customer-focused attitude | 0.808 | |
| SER8. The port actively gathers customer feedback and continuously improves its customer service processes | 0.798 | |
| SER9. The port is recognized for its strong commitment to social responsibility | 0.702 | |
| Customer satisfaction (SAT), adapted from | ||
| SAT1. Overall, we are satisfied with the port's facilities, equipment, and infrastructure | 0.890 | Cronbach's alpha = 0.917, rho_A = 0.922, |
| SAT2. Overall, we are satisfied with the management and staff of the port | 0.794 | |
| SAT 3. Overall, we are satisfied with the quality of services provided by the port | 0.885 | |
| SAT 4. We are willing to recommend the port's services to our business partners | 0.865 | |
| SAT 5. We intend to continue using the port's services in the future | 0.893 | |
| Port competitiveness (COM), adapted from | ||
| COM1. The port helps reduce our company's logistics costs | 0.924 | Cronbach's alpha = 0.937, rho_A = 0.942, |
| COM2. The port enhances the overall quality of our logistical services | 0.841 | |
| COM3. The port responds promptly to customer requests and demands | 0.917 | |
| COM4. The port adapts flexibly to environmental changes and unforeseen disruptions | 0.812 | |
| COM5. The port consistently integrates innovative technologies and processes | 0.875 | |
| COM6. The market share of the port we utilize has expanded | 0.861 | |
Note(s): Data analysis results on SmartPLS 4.0
3.2 Justification and application of PLS-SEM
To test the proposed model and hypotheses, this study uses partial least squares structural equation modeling (PLS-SEM) via SmartPLS 4 (Ringle et al., 2022). PLS-SEM is suitable for exploratory research, complex models with mediating or moderating effects, and contexts with emerging theory, while accommodating relatively small sample sizes (Chin, 1998; Hair et al., 2014).
The analysis followed two steps: (1) assessing the measurement model for reliability, internal consistency, and validity and (2) evaluating the structural model for collinearity, path coefficients, R2, effect sizes and predictive relevance. Bootstrapping with 5,000 subsamples tested path significance, allowing examination of both direct and indirect relationships.
3.3 Sampling and data collection
Data were collected via a mixed-method survey combining online and face-to-face channels to enhance sample diversity and generalizability (Shankar et al., 2020). The survey targeted key Vietnamese port customers as shipping lines, logistics providers and cargo owners (Roh et al., 2025).
Industry associations supported distribution: the Vietnam Shipowners' Association sent 100 questionnaires to shipping executives, the Vietnam Logistics Association delivered 200 to logistics firms, and 200 were sent to cargo owners via the Ministry of Industry and Trade and the Vietnam Shippers' Council.
Conducted from October 2024 to January 2025, the survey yielded 273 responses, with 259 valid (51.8% response rate): 24.3% from shipping firms, 48.7% from logistics providers and 27.0% from cargo owners. Respondents' experience ranged from less than five years (42.9%), five–ten years (37.8%), to over ten years (19%) (Table 1).
4. Findings
4.1 The measurement model evaluation
The measurement model showed strong reliability and validity (Table 2). All outer loadings exceeded 0.7 (Hair et al., 2020), Cronbach's alpha ranged from 0.917 to 0.937, and composite reliability ranged from 0.938 to 0.950, all above the 0.7 threshold. Convergent validity was confirmed with AVE values between 0.656 and 0.761 (Fornell and Larcker, 1981). These results indicate a reliable and valid measurement model, suitable for structural analysis.
Discriminant validity was confirmed using the HTMT ratio, with all values below the 0.85 threshold (Henseler et al., 2015), indicating clear construct distinction (Table 3).
4.2 The structural model evaluation
The structural model was tested using bootstrapping with 5,000 resamples at a 5% significance level (Hair et al., 2019) to evaluate hypotheses and model robustness. VIF values ranged from 2.149 to 2.848, below the 3.0 threshold, indicating no multicollinearity.
Model performance showed strong explanatory power, with R2 = 0.805 for SAT and 0.654 for COM. Effect sizes were medium for SEC → SAT (f2 = 0.268) and SER → SAT (f2 = 0.190), small for SER → COM (f2 = 0.101) and negligible for SEC → COM (f2 = 0.015) (Cohen, 1988), highlighting the varying impact of predictors on SAT and COM (Table 4).
Structural model evaluation results
| f2 | VIF | R2 | R2 adjusted | |||
|---|---|---|---|---|---|---|
| SAT | COM | SAT | COM | |||
| SAT | 0.027 | 2.172 | 0.807 | 0.805 | ||
| COM | 0.658 | 0.654 | ||||
| SEC | 0.268 | 0.015 | 2.848 | 2.149 | ||
| SER | 0.190 | 0.101 | 2.848 | 2.768 | ||
| f2 | VIF | R2 | R2 adjusted | |||
|---|---|---|---|---|---|---|
| SAT | COM | SAT | COM | |||
| SAT | 0.027 | 2.172 | 0.807 | 0.805 | ||
| COM | 0.658 | 0.654 | ||||
| SEC | 0.268 | 0.015 | 2.848 | 2.149 | ||
| SER | 0.190 | 0.101 | 2.848 | 2.768 | ||
Note(s): Data analysis results on SmartPLS 4.0
Bootstrapping results (Table 5) show that SER has a significant positive effect on both SAT and COM (p = 0.000), supporting H1a and H1b. SEC significantly boosts SAT (p = 0.000) but has no direct effect on COM (p = 0.070), supporting H2a.
Hypothesis testing results
| Original sample (O) | Sample mean (M) | Standard deviation (STDEV) | T statistics (|O/STDEV|) | p-values | Results | |
|---|---|---|---|---|---|---|
| H1a. SER → SAT | 0.422 | 0.426 | 0.054 | 7.843 | 0.000 | Supported |
| H1b. SER → COM | 0.445 | 0.449 | 0.095 | 4.709 | 0.000 | Supported |
| H2a. SEC → SAT | 0.502 | 0.498 | 0.053 | 9.453 | 0.000 | Supported |
| H2b. SEC → COM | 0.179 | 0.178 | 0.099 | 1.813 | 0.070 | Not supported |
| H3. SAT → COM | 0.219 | 0.217 | 0.081 | 2.706 | 0.007 | Supported |
| H4a. SER → SAT → COM | 0.092 | 0.092 | 0.035 | 2.625 | 0.009 | Partial mediation |
| H4b. SEC → SAT → COM | 0.110 | 0.109 | 0.043 | 2.536 | 0.012 | Fully mediation |
| Original sample (O) | Sample mean (M) | Standard deviation (STDEV) | T statistics (|O/STDEV|) | p-values | Results | |
|---|---|---|---|---|---|---|
| 0.422 | 0.426 | 0.054 | 7.843 | 0.000 | Supported | |
| 0.445 | 0.449 | 0.095 | 4.709 | 0.000 | Supported | |
| 0.502 | 0.498 | 0.053 | 9.453 | 0.000 | Supported | |
| 0.179 | 0.178 | 0.099 | 1.813 | 0.070 | Not supported | |
| 0.219 | 0.217 | 0.081 | 2.706 | 0.007 | Supported | |
| 0.092 | 0.092 | 0.035 | 2.625 | 0.009 | Partial mediation | |
| 0.110 | 0.109 | 0.043 | 2.536 | 0.012 | Fully mediation |
Note(s): Data analysis results on SmartPLS 4.0
SAT positively influences COM (p = 0.007), supporting H3, and mediates the relationships between SER → COM (p = 0.009) and SEC → COM (p = 0.012), confirming H4a and H4b. SAT acts as a partial mediator for SER and a full mediator for SEC.
Overall, SER directly drives both satisfaction and competitiveness, while SEC indirectly enhances competitiveness through satisfaction. These findings highlight the importance of integrating service quality, security and satisfaction management to strengthen port performance and market position.
5. Discussions and implications
5.1 Discussions
This study provides key insights into how service quality, security and customer satisfaction shape port competitiveness.
First, SER significantly boosts both SAT and COM, highlighting service delivery as a core driver of the competitive advantage. Unlike prior research that focused on infrastructure, efficiency (i.e. Heaver, 1995; Huang et al., 2003) or network connectivity (De Martino, 2018; Vo et al., 2025), this study demonstrates that service quality directly contributes to competitiveness while also enhancing satisfaction, offering an integrated perspective on value creation in port management.
Second, SEC positively affects SAT but not COM, indicating that while security is valued by port users, it alone does not distinguish competitiveness. This aligns with Chang and Thai (2016), who found that SEC improves customer satisfaction. Security enhances perceived service quality but only translates into competitiveness when it improves operational outcomes like reduced delays, better cargo protection, or efficient compliance.
Third, SAT mediates these relationships: it fully mediates SEC → COM, showing that security impacts competitiveness only through satisfaction, and partially mediates SER → COM, meaning service quality contributes both directly and indirectly. This underscores the importance of customer perception as the link between service inputs and strategic outcomes.
Finally, the findings reaffirm customer satisfaction as a central driver of competitiveness, supporting relationship marketing and customer value theories (Lee et al., 2016). Enhancing satisfaction through better service, responsiveness and reliability is therefore critical for long-term port performance.
5.2 Implications
The findings of this study offer several important theoretical and practical implications for port managers in the Vietnamese container port industry.
5.2.1 Theoretical implications
First, SER is shown to drive both SAT and COM, highlighting service quality as a dual-path source of the strategic advantage. This supports a shift from infrastructure-centered to service-centered models of port competitiveness, aligning with service-dominant logic and customer value theory (Hales et al., 2017).
Second, SEC, traditionally viewed as a compliance requirement, is reframed as a value-creating service dimension. While SEC does not directly affect competitiveness, it significantly enhances SAT, which in turn drives COM. This position positions security as an “embedded trust mechanism” and underscores the importance of customer-perceived safety and reliability in strategic outcomes.
Third, the mediation results: SAT fully mediating SEC → COM and partially mediating SER → COM, highlight customer perception as the central mechanism through which both functional (service) and intangible (security) attributes translate into competitive performance. This extends relationship marketing, customer value theory and service-dominant logic within B2B port contexts.
Finally, by integrating SER and SEC in a unified model, the study advances a holistic understanding of service quality in ports, emphasizing that security must be embedded within broader service excellence and operational outcomes to generate sustainable competitive advantage. It also opens avenues for future research on how intangible service dimensions interact with digitalization, process innovation and relational factors to shape port competitiveness, especially in emerging economies.
5.2.2 Managerial and policy implications
This study offers practical guidance for port managers and government agencies to enhance service, security and competitiveness in Vietnam's container port industry.
First, service quality should be treated as a strategic differentiator. Ports like Cai Mep-Thi Vai demonstrate that digital tools such as real-time cargo tracking, berth scheduling and e-documentation, can transform operational tasks into competitive advantages, supporting national goals for logistics efficiency and trade facilitation.
Second, security should be framed as a value-enabling service rather than just compliance. While SEC boost customer satisfaction, they only affect competitiveness indirectly. Integrating advanced solutions like AI surveillance, automated access control and predictive cargo risk assessment, can enhance reliability and operational flow while aligning with ISPS standards and Vietnam's digital transformation goals.
Third, security strategies should be customer-centric. SAT fully mediates the SEC–COM link, highlighting the need for security measures that improve user experience. Tools like real-time dashboards, proactive alerts and transparent risk communication strengthen trust, satisfaction and retention. Government guidance can encourage such customer-focused approaches.
Fourth, ports should leverage the dual pathways through which SER drives competitiveness. Technical improvements (TOS, automation, scheduling) and relational enhancements (personalized services, proactive support) together elevate operational performance, satisfaction and loyalty. Policies can support this via digital investment incentives, green port initiatives and public–private partnerships.
Fifth, customer satisfaction should be institutionalized as a core KPI. Embedding SAT metrics in performance dashboards, berth allocation, investment planning and team incentives ensures that customer feedback directly shapes strategic decisions. National benchmarking can standardize and monitor service excellence across ports.
Finally, collaboration across the port ecosystem is crucial. Coordinating terminal operators, shipping lines, logistics providers and IT partners through Port Community Systems and digital platforms enables seamless, value-driven services. Government support for standard protocols, funding and integrated logistic corridors can further enhance national and regional maritime competitiveness.
6. Conclusion and future research
6.1 Conclusion
This study provides new insights into port competitiveness in Vietnam's container port industry by integrating port service quality, port security quality and customer satisfaction in a unified model. It offers a holistic view of how ports can sustain the competitive advantage in a service- and security-driven maritime environment.
Findings confirm that SER is a key driver of both SAT and COM, operating through direct and indirect pathways via customer satisfaction. SEC, while not directly affecting competitiveness, significantly influences SAT, which fully mediates the SEC–COM relationship, highlighting the strategic role of security in shaping customer perceptions and trust. SAT emerges as the central channel through which both tangible (service) and intangible (security) dimensions translate into competitiveness.
The study advances theory by clarifying the distinct yet interconnected roles of service and security, reframing port security as a strategic enabler rather than merely a compliance requirement. Managerially, it suggests that Vietnamese ports should integrate service and security into customer-centered strategies, invest in digital platforms (e.g. TOS, customer portals), link security to key performance indicators, engage stakeholders and adopt automation and AI-based risk management.
Overall, this research underscores that ports must evolve from infrastructure-focused nodes into integrated, technology-enabled service hubs. By bridging theory with actionable strategies, it guides ports, especially in emerging economies, toward a customer-centric, security-aware approach to competitiveness in today's complex maritime landscape.
6.2 Future directions
This study has some limitations. While the methodology is appropriate, alternative designs, such as longitudinal or mixed methods, could strengthen the findings. The sample size meets the PLS-SEM requirements but may not fully represent the broader population, limiting generalizability.
The research underscores the strategic roles of port service and security in shaping customer satisfaction and competitiveness, suggesting several future directions. Studies could examine additional mediators like trust or perceived value, explore different types of security (e.g. cyber, procedural) and their integration with digitalization, adopt a broader port ecosystem perspective including stakeholders like customs and logistics providers or conduct cross-country comparisons to enhance generalizability.
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