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This study aims to investigate the conditional indirect effect of academic self-efficacy in the interplay between academic motivation and academic satisfaction through academic engagement among university students.

A cross-sectional study was performed on 1,638 Vietnamese university students (31.9% males and 68.1% females) aged 16 to 36 (Mean = 20.06, SD = 1.428). The participants filled out a questionnaire with the Vietnam versions of the General Self-Efficacy Scale, Academic Motivation Scale, Academic Life Satisfaction Scale and Academic Engagement Scale. Model 4 and Model 7 in the PROCESS macro were used for the mediation analysis and the moderated mediation analysis.

Results showed that the indirect effect of academic engagement on the academic motivation-academic satisfaction link was significant. Furthermore, academic self-efficacy moderated this indirect effect. The indirect effect was stronger among students with high academic self-efficacy and weaker among students with low academic self-efficacy.

This study’s findings contribute to educational research on academic satisfaction and can be used by institutions of higher education and educators to enhance academic satisfaction among university students.

The paper aims to provide an efficient dispatching schedule for ready-mix concrete (RMC) trucks and create a balance between batch plants and construction sites.

The paper focused on developing a new metaheuristic swarm intelligence algorithm using Java code. The paper used statistical criterion: mean, standard deviation, running time to verify the effectiveness of the proposed optimization method and compared its derivatives with other algorithms, such as genetic algorithm (GA), Tabu search (TS), bee colony optimization (BCO), ant lion optimizer (ALO), grey wolf optimizer (GWO), dragonfly algorithm (DA) and particle swarm optimization (PSO).

The paper proved that integrating GWO and DA yields better results than independent algorithms and some selected algorithms in the literature. It also suggests that multi-independent batch plants could effectively cooperate in a system to deliver RMC to various construction sites.

The paper provides a compelling new hybrid swarm intelligence algorithm and a model allowing multi-independent batch plants to work in a system to deliver RMC. It fulfills an identified need to study how batch plant managers can expand their dispatching network, increase their competitiveness and improve their supply chain operations.

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.

Official development assistance (ODA) education projects have played a crucial role in improving education and training fields in developing countries, but are often facing several considerable challenges (e.g. long implementation time). Thus, this study aims to identify critical success factors (CSFs) in ODA education projects and investigate the influences of CSFs on ODA project performance measured by 11 nonprofit outcomes (NPOs).

A comprehensive literature review and expert interviews were conducted to compile a list of 35 potential success factors for ODA education projects. Using a survey questionnaire, 143 valid responses were collected from practitioners joining ODA projects in Vietnam. Various statistical methods (e.g. mean score method, Spearman rank correlation test, analysis of variance test, factor analysis and regression analysis) were used to analyze the collected data.

This research identified seven CSFs for ODA education projects in Vietnam: comprehensive project management competency (C1), clarity and compliance in project execution (C2), transparency and committed funding (C3), external context conditions (C4), well-controlled design and project management procedures (C5), preparations in equipment and complexity insight (C6) and punctual site delivery (C7). Furthermore, the results of regression analysis indicated that comprehensive project management competency (C1) and transparency and committed funding (C3) could significantly affect various NPOs.

This study offers significant insights for practitioners (e.g. project managers) to improve ODA projects’ performance and effectiveness in the education and training sector of a developing country context (like Vietnam).

In developing countries, construction organizations are seeking to effectively implement green innovation strategies. Thus, this study aims to assess the importance of green innovation practices and develop a measurement model for quantifying the green innovation degrees of construction firms.

A mixed-methods research approach is adopted. First, an extensive literature review is performed to identify potential green innovation items, which are then used to design a preliminary questionnaire. Next, expert interviews are conducted to pilot-test this questionnaire. Subsequently, by using a convenience non-probability sampling method, 88 valid responses are collected from construction firms in Vietnam. Then, one-sample and independent-samples t tests are employed to assess the importance of green innovation practices. Fuzzy synthetic evaluation (FSE) is also applied to quantitatively compare such practices. Finally, green innovation level (GIL) is proposed to measure the green innovation indexes and validated by a case study of seven construction firms.

This study identifies 13 green innovation variables, of which several key practices are highlighted for small/medium and large construction firms. The results of FSE analysis indicate that green process innovation is the most vital green category in construction firms, followed by green product and management innovations, respectively. As a quantitative measure, GIL could allow construction firms to frequently evaluate their green innovation indexes, thereby promoting green innovation practices comprehensively. Hence, construction firms would significantly enhance green competitive advantages and increasingly contribute to green and sustainable construction developments.

This research is one of the first attempts to integrate various green innovation practices into a comprehensive formulation. The established indexes offer detailed green innovation evaluations, which could be considered as valuable references for construction practitioners. Furthermore, a reliable and practical tool (i.e. GIL) is proposed to measure the GILs of construction firms in developing countries.

Financial flexibility, investment efficiency and effective corporate governance mechanisms have been issues of concern to stakeholders. Yet, little empirical evidence on the combined moderating effects investment efficiency and corporate governance mechanisms on the nexus between financial flexibility and firm performance. This study aims to address this gap and extend the extant literature by examining the moderating effects of corporate governance and investment efficiency on the nexus between financial flexibility and financial performance.

The empirical study is based on progression analysis using a sample of 13,865 US listed companies selected from BoardEx (WRDS) for the period (2010–2022) with 89,198 firm-year observations.

Findings of this study indicate that financial flexibility improves firm value as well as accounting performance. Furthermore, the results reveal that both investment efficiency and corporate governance moderate the effect of financial flexibility on firm performance. The authors complement and extend the literature on the optimal investment strategies domain by showing that the combined impact of corporate governance mechanisms and investment efficiency strengthens the nexus between financial flexibility and firm performance.

Key limitations of this study due to the characteristics of the sample selection: country-specific context and proxies used by this study.

Findings of this study have managerial and theoretical implications for firms’ boardrooms, institutional and individual investors, regulators, academics and other stakeholders regarding behavioural aspects of investment decision-making.

The authors’ novel contribution to the extant literature is articulated by the conceptual framework underlying this study and by the new evidence regarding exploring the combined effect of corporate governance mechanisms on nexus between financial flexibility and companies’ performance.

Vietnam has repositioned itself from a war-torn country to a popular tourist destination. Although research on Vietnam tourism has grown in number, a macro analysis of national tourism governance and policies has largely been missing.

This synthesis paper offers a systemic analysis of Vietnam’s tourism accommodating intensified government intervention and dramatic market changes in recent decades. The authors offer a chronological analysis of tourism development along with the major political and economic turns of the country.

The patterns of tourism development reflect a compromise between centralization and decentralization of the governance system and a trade-off between economic and social objectives of development. Balancing these opposites, the internal strength of the domestic market and the resilience of communities and businesses become key assets for growth in circumstances where the socialist market economy continues to inform the current and future development of the industry.

Although the case of Vietnam is unique, the adaptive mechanism of the tourism industry highlighted in this paper offers a useful lesson for other developing countries. The research addresses tourism in the political economy in developing countries, which is valuable for researchers, policy analysts as well as practitioners in tourism.

The practical contribution of the study is derived from authors’ academic and industrial backgrounds. Findings from the study serve as a useful reference for those who embark on the study of tourism governance and policy-making in developing countries and problems associated with the economic transitional process. Those problems of the disparity between centralization and decentralization of the political system might not be only significant in Vietnam, but also prevail in developing countries. Thus, this study offers a point of departure for future empirical and comparative research on the kindship of tourism and political economy in a full scale.

The transitional economy as viewed through the tourism industry is prominently presented in the “evolutionary” approach to the transitional economy, which exhibits several unique features: the transition from a centrally planned (command) economy to a market economy and the manifestations of a socialist orientation in the modern economic management system (Vuong et al., 2019). While data from this study is mainly illustrative of the first point, the transition from a planned economy to a market economy, the second characteristic, the manifestation of a social orientation has only slightly been addressed and will need further elaboration in a future study. While Vietnam’s tourism positions itself in a socialist market-oriented economy might set a unique case, the study highlights the politics of tourism is shaped by the politico-economic system. The authors conclude that the adaptation of Vietnam tourism to a socialist market-orientated economy is better perceived as a social evolution achievement rather than a feature of capitalism.

The latest study on tourism governance (Bui et al., 2022) has outlined the evolution of the tourism administrative system and markets in the country; however, linkages of tourism to the broader political economic system have yet to be addressed. Addressing this gap, the authors carry out analysis of policies and governance from the insider’s viewpoint, when team members have been involved in numerous tourism planning and development projects, both on international and national scales. The practical experience along with thorough review of literature and statistical data contributes to shaping a fresh understanding of tourism in a transitional economy.

这篇综述对越南旅游业进行了系统分析, 包括近几十年来不断增强的政府干预以及巨大的市场变化。作者根据时间顺序分析了旅游业的发展以及该国的主要政治及经济的转变。此外, 政策文件的内容分析及旅游市场分析进一步说明了政治经济体系对旅游治理及政策的影响。

越南已将自己从一个饱受战争的国家重新定位成备受欢迎的旅游目的地。尽管对越南旅游业的研究不断增多, 但对国家旅游治理和政策的宏观分析却被之前的探究所忽略。此研究通过展示越南转型经济中的旅游治理模式连接了两个学科, 并且丰富了政治经济学和旅游学的文献。

旅游政策和市场分析反应了治理体系集权与分权之间的折中以及经济和社会发展目标之间的权衡。国内市场的内在优势以及社区及企业的韧性可以成为成长的关键资产来平衡这些对立面, 同时社会主义市场经济将继续影响产业的当前及未来的发展。因此我们的结论是, 越南旅游业适应社会主义市场经济应该被视为社会进化的成就, 而不是资本主义的特征。

考虑到一篇文章所能解决的问题有限, 作者无法就转型经济与中国进行比较研究。我们的研究为未来亚洲旅游与政治经济之间联系的实证和比较研究提供了一个出发点。

研究结果为发展中国家旅游治理和政策制定研究提供了有益的参考。

研究结果对于发展中国家旅游治理及政策制定研究具有重要参考意义。这项研究的成果对于发展中国家的旅游政策分析师, 特别是亚洲的研究人员来说很有价值。

当前的研究弥补了政治经济学中的一个研究不足, 即马克思主义学说及其与旅游业的对话。知识转移是本研究的一个亮点, 它源自对国家政治经济议程中的旅游治理的批判性分析。

Vietnam ha pasado de ser un país devastado por la guerra a convertirse en un popular destino turístico. Aunque la investigación sobre el turismo en Vietnam ha crecido en número, ha faltado en gran medida un macroanálisis de la gobernanza y las políticas turísticas nacionales. Nuestra investigación ha enriquecido la literatura tanto de la economía política como del turismo tendiendo un puente entre ambas disciplinas al presentar las pautas de la gobernanza del turismo en la economía de transición de Vietnam.

Este documento de síntesis ofrece un análisis sistemático del turismo de Vietnam que abarca la intensificación de la intervención gubernamental y los drásticos cambios del mercado en las últimas décadas. Los autores ofrecen un análisis cronológico del desarrollo del turismo junto con los principales giros políticos y económicos del país. Además, el análisis del contenido de los documentos políticos y el análisis del mercado turístico ilustran mejor las repercusiones de los sistemas político-económicos en la gobernanza y las políticas turísticas.

Las políticas turísticas y el análisis del mercado revelan un compromiso entre la centralización y la descentralización del sistema de gobernanza y un compromiso entre los objetivos económicos y sociales del desarrollo. Al equilibrar estos opuestos, la fuerza interna del mercado nacional y la resistencia de las comunidades y las empresas se convierten en activos clave para el crecimiento en unas circunstancias en las que la economía de mercado socialista sigue informando el desarrollo actual y futuro de la industria. Concluimos que la adaptación del turismo vietnamita a una economía socialista orientada al mercado se percibe mejor como un logro de la evolución social que como una característica del capitalismo.

Dentro del limitado abanico de cuestiones que podrían abordarse en un solo artículo, los autores no pueden establecer un estudio comparativo con China, en lo que respecta a la economía de transición. Nuestro estudio ofrece un punto de partida para futuras investigaciones empíricas y comparativas sobre la conexión entre turismo y economía política en Asia.

Las conclusiones del estudio sirven de referencia útil para quienes se embarcan en el estudio de la gobernanza y la formulación de políticas turísticas en los países en desarrollo.

Los resultados de la investigación son valiosos para los investigadores del sudeste asiático en particular y para los analistas de la política turística del mundo en desarrollo en general.

La presente investigación contribuye a un área poco investigada de la economía política, a saber, la doctrina marxista y su diálogo con el turismo. La transferencia de conocimientos es un aspecto destacado de esta investigación, que se ha derivado de un análisis crítico de la gobernanza del turismo en la agenda económica política nacional.

Artificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector.

Full consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs.

The study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks.

The study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.

This study aims to investigate the relationship of employee motivation to team support, financial incentives and public sector motivation in various agencies under the Binh Dinh People's Committee in Vietnam. These agencies fulfil state management functions in many fields, such as investment, finance, construction, sports, culture and tourism.

This study applies the quantitative method to test team support, financial incentives and public service motivation (PSM) in relation to employee motivation in the public sector. The data are analysed using covariance-based structural equation modelling (SEM), with a sample size of 263 employees who work at provincial government agencies.

The study results show that team support, financial incentives and PSM have a positive influence on employee motivation in the public sector.

The findings provide theoretical evidence that team support, financial incentives and PSM are key predictors of employee motivation in the public sector in the context of an emerging economy. Consequently, the authors propose that managers in the public sector should motivate employees by communicating with employees about the employees' roles in improving the local people's lives to stimulate the PSM of employees. In addition, managers should always provide constructive feedback that recognises employees' achievements and pay bonuses based on job performance and successful projects to improve public service.

This study examines the vital factors that influence digital marketing adoption among small travel agencies (brick-and-mortar) and the impact of digital marketing adoption on organizational performance modeled as a formative-formative HOC.

This empirical study builds on diffusion of innovation (DOI) theory and technology-organization-environment (TOE) framework to identify the factors of digital marketing adoption by small travel agencies. Data were collected from 226 small travel agents in India using purposive and snowball sampling. Partial least square-structural equation modelling (PLS-SEM) is used to analyze the reflectively and formatively measured constructs.

The findings reveal significant constructs of digital marketing adoption by small travel agencies. The study also establishes the positive impact of digital marketing adoption on organizational performance. Trust partially mediates the impact of technological factors (relative advantage, security concerns) and organizational factor (knowledge) on digital marketing adoption.

The study provides methodological contribution to the literature by applying confirmatory composite analysis (CCA) approach in PLS-SEM. The study contributes to the literature by integrating DOI theory and TOE framework. The study enriches the literature on trust as it recognizes the crucial role of trust as a mediating construct.

The study provides useful implications to marketing practitioners of small travel agencies. The study shows strong predictive capacity and can be generalized throughout diverse samples.

The study adds value to the literature as it explores the digital marketing adoption among the under researched small travel agencies by integrating DOI-TOE theory. The study uniquely proposes and validates organizational performance as a formative-formative higher-order construct.