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Understanding the adoption of m-commerce in small and medium-sized enterprises (SMEs) is critical for their sustainable development. This study aims to investigate the adoption of m-commerce in Vietnamese SMEs, leading to the identification of the critical determinants and their relative importance for m-commerce adoption.

An integrated model is developed by combining the diffusion of innovation theory and the technology–organization–environment framework. Such a model is then tested and validated using structural equation modeling and artificial neural networks in analyzing the survey data.

The study indicates that perceived security is the most critical determinant for m-commerce adoption. It further shows that customer pressure, perceived compatibility, organizational innovativeness, perceived benefits, managers’ IT knowledge, government support and organizational readiness all play a critical role in the adoption of m-commerce in Vietnamese SMEs.

The findings of this study can lead to the formulation of better strategies and policies for promoting the adoption of m-commerce in Vietnamese SMEs. Such findings are also of practical significance for the diffusion of m-commerce in SMEs in other developing countries.

To the best of the authors’ knowledge, this is the first attempt to explore the adoption of m-commerce in Vietnamese SMEs using a hybrid approach. The application of this approach can lead to better understanding of the relative importance of the critical determinants for the adoption of m-commerce in Vietnamese SMEs.

The purpose of this paper is to apply a more accurate competitive advantage construct to study the impact of total quality management on firms’ competitive advantage in the context of the weakening of the competitive advantage of firms that are renowned for the excellent quality management. It also aims to find a better explanation for the source of competitive advantage through mediating constructs.

The authors use iterative methodology by reviewing, analyzing, synthesizing and refining the current state of the literature and propose a research framework which allows for overcoming the limitation encountered in previous empirical research.

The use of two second-order constructs including the incremental innovation performance and radical innovation performance which enable the researchers to have a better explanation about the mediating role of innovation performance.

This study is seeking to contribute to the practice of total quality management area of research. Specifically, this study applies two second-order measurement scales of innovation in use, actualize the use of the new measurement scale of competitive advantage and explain clearly the role of total quality management on competitive advantage in the current context.

This is one of the few papers investigating the impact of total quality management on competitive advantage, developing the conceptual model that examines the mediating role of innovation performance.

Public–private partnership (PPP) projects play a pivotal role in fostering infrastructure development in developing countries. This study aims to identify major barriers and critical success factors (CSFs) for PPP projects in Vietnam.

The study initially conducted an extensive literature review and interviewed industry experts to compile a comprehensive list of barriers and success factors. Subsequently, a survey involving 250 construction professionals was conducted to assess these identified factors. The research used both ANOVA test and hierarchical regression analysis to explore the relationship between participants’ characteristics and assessments.

The results could provide a valuable reference for practitioners by assessing barriers and CSFs in PPP projects. Specifically, the ANOVA analysis indicated a positive correlation between barrier assessment and participants’ experience, while the influence of participants’ sector on the evaluation was minor. Furthermore, the hierarchical regression analysis demonstrated that participants’ sector did not moderate the relationship between barrier assessment and industry experience.

This research contributes to the existing literature by offering empirical insights into barriers and CSFs specific to PPP projects in a developing country context. The findings highlight the crucial role of experienced professionals in ensuring PPP project success. Moreover, the study provides construction practitioners with a better understanding of the essential factors and supports the development of effective management strategies for future PPP projects.

The COVID-19 lockdown has forced many organizations and employees to work from home. In such uncertain and unprecedented context, it is crucial for organizations to stimulate their employees’ creativity to adapt to new working environment and thus to sustain and improve organizational performance. This paper aims to examine how to stimulate employees’ creativity by focusing on their online knowledge sharing (OKS) behaviors, their use of online platforms and their organizations’ innovation climate in a working from home (WFH) context because of the lockdown. For empirical analysis, this research uses data from Vietnam – a developing country in the Southeast Asia.

Data are collected from employees working in Ho Chi Minh City but WFH during the COVID-19 lockdown. Structural equation models are used for analyzing the data.

Online platform use and organizational innovation climate are positively associated with creativity directly and indirectly via the mediating roles of internal and external OKS.

This research provides policymakers, organizational leaders and managers with an important evidence on how to stimulate creativity by emphasizing the roles of knowledge sharing, online platforms and innovation climate. Accordingly, relevant practical implications are also drawn to sustain or improve organizational performance in the context of WFH context because of COVID-19 lockdown. This research also contributes to knowledge management literature by providing an evidence on the relationships between online platform use, organizational innovation climate, OKS and creativity.

This research is among the early attempts that explore the associations between employees’ use of online platforms, their organizations’ innovation climate, their internal and external OKS behaviors and their creativity in the context of WFH because of a lockdown.

This chapter describes how public sector reform (PSR) became important following the ‘Doi Moi’ (renovation) programme in 1986. Restructuring of state-owned sector was regarded as crucial for ensuring the quality of economic growth, and the Vietnamese government (www.chinhphu.vn/portal/page/portal/English) put considerable effort in PSR. The 8th Party Congress (1996) emphasized the urgent need for a more transparent, capable and modern public sector, including efforts to improve law-making process and capacity, reducing burdensome bureaucracy, fighting corruption, increasing leadership by senior officials and improving public service delivery. The government specifies the national PSR Master programme, and the Ministry of Home Affairs coordinates its implementation among ministries, central agencies and provincial governments. Local political leaders (party leaders) determine reforms based on guidelines of the party and government. The author writes that in spite of ambitious public service reform programmes and some positive achievements, the quality of public sector remains poor. The professional capacity of civil service is low, pay is low, corruption is high and processes and structures seem ill-fitted for the market economy. Reform scope is too broad, the capacity of public agencies and civil servants is limited and existing monitoring, evaluation and reporting systems are weak. In some successes, leaders use appointment and promotion to encourage lower level to implement reforms and training to increase understanding. They believe that Vietnamese leadership has become less proactive and vigorous in practicing or embracing bold reform experiments.

The purpose of this paper is to investigate the input- and output-specific technical inefficiency of Vietnamese prawn-rice rotational crops (PRRC) and to identify the impacts of the socio-economic characteristics of farmers and farms on these technical inefficiencies.

This study first used a Russell-type (input-output) directional distance function to estimate the input- and output-specific technical inefficiency. Second, it applied a bootstrap truncated regression to analyze the factors influencing these technical inefficiencies. Data were gathered through a survey among 94 farmers, from Ben Tre and Kien Giang provinces, the two popular PRRC areas in the Mekong Delta.

Results show that Vietnamese PRRC farmers could reduce the water surface area by 3%, the use of seedlings by 15%, labor by 16%, fertilizers by 26%, and the use of others by 24%, while simultaneously increasing the revenue of farming system by 57% relative to the variable returns to scale (VRS) frontier. Farmers with more years of experience are generally better in managing the use of seedlings and in improvement of revenue. Farmers in Kien Giang province are more efficient in achieving revenue of the PRRC farming system than farmers in Ben Tre province.

Outcomes of this study are useful to identify strategies in minimizing the use of inputs while simultaneously maximizing PRRC production.

This paper relates to the comparison of two mostly different ecological zones, being the dominant production areas of PRRC, in which, Kien Giang represents the western part, while Ben Tre is in the eastern part of the Vietnam’s Mekong Delta. The findings not only expand the current understanding but also suggest various meaningful research questions regarding the development of Vietnamese PRRC under the impacts of climate change. The study also contributes to the literature on examining the input- and output-specific technical inefficiencies and influencing factors.

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems.

The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems.

The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field.

Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.

This study aims to focus on exploring the construction productivity of building projects under the influence of potential factors. The three primary purposes are (1) determining critical factors affecting construction productivity; (2) identifying causal relationship and occurrence probability of these factors to develop a Bayesian network (BN) model; and (3) validating the accuracy of predictions from the proposed BN model via a case study.

A conceptual framework that includes three performance stages was used. Twenty-two possible factors were screened from a comprehensive literature review and evaluated through expert opinions. Data were collected using a structured questionnaire-based survey and case-study-based survey. The sampling methods were based on non-probability sampling.

Worker characteristic-related factors significantly affect labour productivity for a construction task. Construction productivity is dominated by the working frequency of workers (overtime), complexity of the task, level of technology application and accidents. Labour productivity is defined as nearly 50% of the baseline productivity using the BN model created by the caut 2sal relationship and probability of factors. The prediction error of the BN model was 6.6%, 10.0% and 9.3% for formwork (m²/h), reinforcing steel (ton/h) and concrete (m³/h), respectively.

The evaluation or prediction of productivity performance has become a necessary topic for research and practice.

Managers and practitioners in the construction sector can utilise the outcome of this study to create good productivity management policies for their prospective projects.

Worker-related characteristics are dominant among critical factors affecting labour productivity for a construction task; the proposed BN-based predictive model is built based on these critical factors. The BN approach is highly accurate for construction productivity prediction. The findings of this study can fill gaps in the construction management body of knowledge when modelling construction productivity under the effects of multiple factors and using a simple probabilistic graphic tool.