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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.

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 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.

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.

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.

This research aims to shed light on the linkage between digital platforms and small and medium-sized enterprises (SMEs) performance and consider the moderating effect of intellectual capital and environmental dynamism.

This study applies a quantitative approach using a sample of primary data from 508 managers and directors of Vietnamese SMEs, using structural equation modeling (SEM).

The utilization of digital platforms by managers and directors has a positive impact on enhancing intellectual capital. However, under the influence of external environment changes, this trend may shift towards a negative direction. The ability to utilize digital platforms, whether directly or through information communication, positively affects the performance of businesses. Research has shown that the positive promotion of digital platform capability for intellectual capital factors such as human capital, organizational capital, and relational capital decreases when the external environment changes in the context of uncertain globalization.

This research focuses on SMEs operating in the technology and e-commerce sectors and it evidences that digital platforms are an effective baseline driver for promoting high-performing SMEs. By examining the connection between digital platform’s capability and IC and the significance of intellectual capital for SMEs’ performance, this study adds to the body of literature already available on the destructive regulatory potential of environmental dynamism. This study broadens the dynamic capabilities theory’s outcome audience and adds a new dimension to the impact of the digital platform’s capability (resource utilization) on the performance of SMEs.

To assist Malaysian public-listed companies (PLCs) in preparing corporate social responsibility (CSR) reports, Bursa Malaysia Berhad (BMB) launched the second edition of the Sustainability Reporting Guide (SRG) in 2018. This new SRG edition has several additional requirements for CSR reporting (CSRR), the most important of which is a chapter on assurance which provides detailed guidance on how it may be carried out. This study aims to determine whether the new SRG edition influences the extent of CSRR, and whether such effect is moderated by the provision of assurance on CSRR. It also aims to identify whether amending CSRR regulations and providing assurance on such reporting indirectly influences firm value through the possible improvement in the extent of CSRR.

This study performed a content analysis of the CSRR of a sample of Malaysian PLCs that maintained their positions among the top 100 companies by market capitalization between 2017 and 2020 to determine the extent of CSRR for the two years before and two years after the implementation of the new edition of SRG. This study conducted different statistical analyses to indicate whether the implementation of the second edition of SRG has an effect on enhancing the extent of CSRR, and whether the provision of assurance on such reporting moderates such an effect. This study then used instrumental variable regressions to examine the influence of the predicted extent of CSRR on firms’ value measured by Tobin’s Q.

This study found that the implementation of the second edition of SRG has a positive and significant influence on the extent of CSRR. This effect is strengthened by the provision of assurance on CSRR. Instrumental variable regressions also indicate that enhancing the extent of CSRR affected by the second edition of SRG is linked to higher firm value.

To the best of the authors’ knowledge, this study is one of the first to assess the determinants and implications of CSRR among Malaysian companies after adopting the second edition of SRG.

The purpose of this paper is to investigate what factors can affect individuals’ knowledge sharing on social media from the perspectives of personality traits and social capital.

A theoretical model was developed with reference to the personality traits theory and the social capital theory. Accordingly, a questionnaire was designed to collect the individuals’ ideas on knowledge sharing on social media and further test the model. The questionnaire was then distributed to two LINE groups. Finally, the collected data were analyzed using the partial least squares (PLS) approach.

Personality traits not only directly affect knowledge sharing, but also indirectly influence it via social capital. Of all personality traits, agreeableness, openness and extraversion directly and indirectly influence knowledge sharing.

Knowledge sharing is undertaken by individuals and social groups. It starts with individuals and then diffuses to other members of a group.

Group managers have to identify the members who are friendly, open-minded or extroverted and encourage them to act as the bellwethers for knowledge sharing under an effective regulatory regime, through which intra-group knowledge sharing can be promoted.

This study introduces a new model to explore knowledge sharing on social media from individual and social perspectives. It illustrates what will affect individuals’ knowledge sharing on social media.

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).