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Drawing upon the conservation of resources (COR) theory, this paper investigates the moderated mediation model linking benevolent leadership to organizational citizenship behaviors towards the organization (OCBO) and towards individuals (OCBI) in the context of higher education. The mediating roles of leader-member exchange and affective commitment as well as the moderating roles of the two attachment styles—attachment anxiety and attachment avoidance—are also examined.

Data were collected from a sample of 333 university lecturers and analyzed using partial least square structural equation modeling (PLS-SEM).

The results demonstrate that leader-member exchange and affective commitment are mediating resources that help benevolent leaders motivate university lecturers to engage in two types of OCBs. Moreover, attachment anxiety and attachment avoidance act as the respective enhancer and inhibitor for the indirect effects of benevolent leadership on both OCBs through leader-member exchange. In contrast, the relationships between benevolent leadership and two types of OCBs through the mediating role of affective commitment are not contingent on the attachment styles of lecturers.

The findings suggest that university leaders who aim at promoting OCBs among lecturers should deploy benevolent leadership style to facilitate a positive social exchange relationship as well as foster their affective commitment. Such leadership style is especially effective in influencing lecturers who possess attachment anxiety personality traits.

This pioneer research develops and empirically tests a COR theory-grounded moderated mediation model pertaining to benevolent leadership and lecturers' OCBs. The findings contribute to the educational management literature by demonstrating that benevolent leadership, a crucial organizational resource, significantly motivates lecturers' voluntary and extra-role behaviors in a dynamic and contingent manner. Leader-member exchange and affective commitment are important mediating resources in the process of transforming benevolent leadership into beneficial behaviors. Further, the effectiveness of benevolent leadership largely depends on lecturers' personality traits of attachment anxiety and avoidance. These novel mediating and moderating findings demonstrate the sequential and interaction effects of various organizational and individual resources on lecturers' OCBs; thus, adding value to the COR theory's core principles, including resource caravans and resource investment behaviors.

Measuring tax service quality is important as it may contribute to sustainable tax management. This study aims to develop and validate a scale that measures tax service quality for enterprises.

This study uses a mixed method consisting of three focus groups with 25 participants in charge of the management of tax service for item generation, a survey of 121 enterprises for scale purification and a survey of 362 enterprises in Vietnam for main study. The scale development is tested through three important steps including exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM).

The findings reveal that the scale of tax service quality for enterprises is represented by 13 items comprising two dimensions: responsiveness and professionalism.

This scale can be used by tax management authorities as a convenient tool to understand and measure tax service quality.

Empirical studies on the measurement of tax service quality are scarce. Most studies have focused on tax service quality for individual taxpayers. There is an absence of research on a process for the development and validation of a specific, orthodox scale of tax service quality for enterprises.

The purpose of this study is to develop and empirically examine antecedents of innovative capability in different organization categories of multinational corporations (MNCs) and domestic firms by applying the integrative theory, linking both personal and contextual factors in explaining employee creativity.

A conceptual framework has been developed based on previous research investigating the relationship between proactive personality, organizational context (hierarchy, communication, atmosphere and risk-taking orientation), employee creativity and, ultimately, corporate innovative capability. More remarkably, by applying multiple group analysis, this research emphasizes on the identification of distinct organizational and contextual characteristics in MNCs and native corporations that respectively affect organizations’ capacity to innovate via employee creativity.

The analysis revealed that four dimensions, communication, atmosphere, risk-taking orientation and employees’ proactive personality, have significant impacts on employee creativity and ultimately organizational innovative capability, whereas the proposed negative effect of hierarchy on employee creativity did not exist. This research also highlights the identification of respective organizational characteristics in MNCs and native corporations that affect their capacity to innovate via employee creativity. Given that proactive personality is a critical antecedent of innovative capability regardless of organization types, communication and atmosphere are statistically confirmed to be more influential antecessors in the MNC context, whereas for domestic corporations, risk-taking orientation is dominant.

This research is original and of great value for several reasons. First, it provides suggestion on a single personality trait, proactive personality, that correlates remarkably with creativity. Second, it examines the association between various organizational aspects and employee creativity to appraise and advance the results of previous classic studies done in the field. Last, it incorporates both personal and organizational factors in the evaluation of creativity and innovative capability not only in the context of multinational but also in domestic corporations.

The purpose of this study is to explore the influence of social support (SS) on job performance (JP) through the mediating role of organizational commitment (OC) and innovative work behavior (IWB) as well as the moderating role of innovative climate (IC).

The present research used a self-report questionnaire from a sample of 694 full-time employees in the Vietnamese small and medium-sized enterprises (SMEs) and the partial least squares structural equation modeling (PLS-SEM) to test studied hypotheses.

The findings revealed that a high level of social support at work could enhance employees’ job performance. The findings also indicated that this positive relationship was partially mediated by organizational commitment and innovative work behavior. Besides, an innovative climate strengthened the positive association between social support and innovative work behavior.

The result of this study provides practical implications for the contemporary human resource (HR) management practice and policy in organizations. Organizations may have an enduring HR policy to strengthen robust social support to enhance employees’ job performance at work.

Perhaps, the largest benefit of this research is that the research provided statistical evidence of the relational values between a system of variables to add to the limited academic literature available on the subject. While plenty of literature suggested that social support played a crucial role in organizational commitment, innovative work behavior, and job performance, the researchers failed to determine if a moderating role of innovative climate existed between social support and innovative work behavior. This study filled the gap in literature by introducing that a moderation exists of IC between SS and IWB instead of using SS and IWB as separate factors.

This study aims to investigate the moderating role of sociodemographic factors, specifically age and education level, in the knowledge-attitude-behavior (KAB) model concerning information security awareness (ISA) amid growing technological threats.

This study uses a survey methodology, collecting data from 400 working individuals in Vietnam, to test the applicability of the KAB model and evaluate the moderating effects of age and education on the model’s established relationships. In addition, the theoretical model and hypotheses were evaluated using the partial least squares structural equation model (PLS-SEM) approach.

This research confirms the relationships posited in the KAB model. Notably, it shows that younger employees showcase a more positive attitude and behavior toward information security compared with their older counterparts. In addition, higher education levels strengthen the positive association between information security knowledge and attitude. The findings underscore the imperative for organizations to consider sociodemographic variables when formulating strategies to enhance ISA.

This study extends the KAB model by exploring the impact of sociodemographic factors, focusing on age and education in ISA. Overcoming the oversight in current literature, particularly in the context of technological threats, the research uses PLS-SEM and targets a specific demographic in Vietnam.

This paper aims to develop a decision support system for predicting the knitting production’s efficiency based on the input parameters of an order. This tool supports the operations managers to make reliable decisions of estimated delivery time, which will result in reducing waste arising from late delivery, overtime and increased labor.

The decision tree method with a set of logical IF-THEN rules is used to determine the knitting production’s efficiency. Each path of the decision tree represents a rule of the following form: “IF <Condition> THEN <Efficiency label>.” Starting with identifying and categorizing input specifications, the model is then applied to the observed data to regenerate the results of efficiency into classification instances.

The production’s efficiency is the result of the interaction between input specifications such as yarn’s component, knitting fabric specifications and machine speed. The rule base is generated through a decision tree built to classify the efficiency into five levels, including very low, low, medium, high and very high. Based on this, production managers can determine the delivery time and schedule the manufacturing planning more accurately. In this research, the correct classification instances, which is simply a ratio of the correctly predicted observations to the total ones, reach 80.17%.

This research proposes a new methodology for estimating the efficiency of weft knitting production based on a decision tree method with an application of real data. This model supports the decision-making process of the estimated delivery time.

This study investigates the optimum size for manufacturing firms and the impact of subcontracting on firms' likelihood of achieving their optimal scale in Vietnam.

Using data from the enterprise census in 2017 and 2021, the paper first estimates the production function to identify the optimum firm size for manufacturing firms and then applies the logit model to investigate factors associated with the optimal firm size.

The study reveals that medium-sized firms exhibit the highest level of productivity. Nevertheless, a consistent trend emerges, indicating that nearly 90% of manufacturing firms in Vietnam operated below their optimal scale in both 2017 and 2021. An analysis of the impact of subcontracting on firms' likelihood to achieve their optimal scale emphasizes its crucial role, especially for foreign firms, exerting an influence nearly five times greater than that of the judiciary system.

The paper's findings offer crucial policy implications, suggesting that initiatives aimed at enhancing the overall productivity of the manufacturing sector should prioritise facilitating contract arrangements to encourage firms to reach their optimal size. These insights are also valuable for other countries with comparable firm size distributions.

This paper provides the first empirical evidence on the relationship between firm size and productivity as well as the role of subcontracting in firms' ability to reach their optimal scale in a country with a right-skewed distribution of firm sizes.

This paper aims to explore how research and development (R&D) scientists and engineers can contribute to sustainability initiatives in their organisations.

This paper uses a critical case study methodology, focussed on a large Vietnamese company in which business leaders sought to engage R&D scientists and engineers in sustainability initiatives focussed on eco-innovation and eco-efficiency. Bourdieu’s theoretical lens of habitus, capitals and field facilitates a relational analysis of the findings.

While R&D scientists and engineers adapted well to early changes aligned with eco-innovation, they struggled to engage with sustainability initiatives in the case firm. This study explains adaptions and constraints as scientists and engineers’ professional habitus and capitals, and their broader organisational field.

This paper provides insight into how organisations might integrate professional acculturation and appropriate facilitators to promote the additional contribution of scientists and engineers to sustainability initiatives in the context of an organisation.

Although eco-innovation and eco-efficiency are only potential dimensions of comprehensive organisational sustainability reform, this research provides insight into how engaging scientists and engineers with a broader social sustainability agenda might be advanced.

The study addresses calls for empirical insights into ways that scientists and engineers can commit to organisational sustainability practices based on the configurations of habitus, capital and organisational field.

This study aims to identify the factors of service recovery strategy that affect customer satisfaction. In addition, this study aims to explore the relationship between consumer satisfaction with service recovery and electronic word of mouth (e-WOM) in the online context.

A self-administered questionnaire is designed and administered through an online survey. This study evaluates the proposed framework through structural equation modeling with online survey data from 425 samples in the context of online buying.

The results show that explanation, effort, response speed, problem-solving and apology are the components predicting service recovery strategy. These factors have impacts on customer satisfaction with service recovery and also generate e-WOM about service recovery experiences. This study significantly contributes to not only practical insights but also the expansion of expectation confirmation theory and social exchange theory regarding online service failures.

Samples from non-internet shoppers are not collected because this study focuses on consumers referring to purchase online. Testing this conceptual model for other populations, such as non-online consumers, including the moderating effect of gender, age and education on the relationships proposed in the model may be an interesting extension. Moreover, this study does not distinguish different types of online retailers.

This study highlights the significant effect of customer satisfaction with service recovery on e-WOM. That is, managers should focus on not only making customers satisfied with their initial purchase but also enhancing customer satisfaction with service recovery in case the service failure occurs to encourage positive interaction among customers. This case will also improve the organizational image of a firm.

This study contributes to the identification of service recovery actions that focus on the roles of employees in dealing with service failures and their impacts on customer satisfaction in the online shopping context. In addition, the findings provide a greater understanding of the importance of customer satisfaction on e-WOM.