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This study aims to examine the impact of inbound logistics on dynamic supply chain capabilities and, subsequently, on supply chain resilience in the Vietnamese textile industry.

A conceptual framework based on a resource-based view was empirically tested using partial least squares structural equation modeling and data collected from 215 Vietnamese textile enterprises from December 2021 to March 2022.

The research shows that inbound logistics capability positively affects dynamic supply chain capabilities. In particular, the study has ratified reengineering as the chief factor that textile firms should consider when building a resilient supply chain.

This study considers the Vietnamese textile industry to assess the indirect effect of inbound logistics on supply chain resilience through dynamic supply chain capabilities in a theoretical sense while assisting managers in comprehending the functions of supply chain collaboration, agility and reengineering as the foundation for supply chain resilience in a managerial sense.

Based on the model of Big-Five personality traits and theories of person–environment interaction, this study aims to investigate the moderating effects of personality traits on innovativeness through knowledge sharing (KS).

A sample of 318 Vietnamese employees was collected. The hypothesized model was tested by using partial least squares structural equation modelling.

The results indicate that extraversion, agreeableness, conscientiousness and openness to experience have relationships with innovativeness through the mediating effect of KS. Furthermore, transformational leadership (TL) mitigates the positive relationship between agreeableness and openness to experience and innovativeness.

Based on the research results, the authors suggest several practical implications for enhancing employees' innovative organizational behaviours. Transformational leaders should be aware of and control the relationships with employees high in agreeableness and open to experience to ensure that employees' innovativeness can be freely developed.

This research systematically investigates the effect of each personality on employees' innovativeness. Furthermore, this study contributes to the leadership literature by suggesting the dark side of TL that can negatively influence the innovative ability of employees with certain personality traits.

The purpose of this study is to examine how use of agriculture information systems could impact farmers' intention to convert from traditional to organic agriculture production in the mountainous areas of Northern Vietnam, based on a research framework developed from integrating Diffusion of Innovation Theory and Theory of Planned Behavior. Specifically, the authors aim to test the direct impact of use of agriculture information systems on converting intention and the interaction between use of agriculture information systems and perceived economic benefits, perceived non-economic benefits of organic production and market access on the formation of converting intention.

Data were collected from a sample survey that included 634 agriculture-producing households in Thai Nguyen, Tuyen Quang and Cao Bang provinces of Northern Vietnam. The logistic regression was used for data analysis.

Research findings indicate that perceived economic benefits, non-economic benefits, market access and use of agriculture information systems positively support the converting intention. Moreover, the use of information systems strengthens the links between the converting intention and perceived economic benefits, perceived non-economic benefits and market access.

This research is innovative in incorporating the use of agriculture information systems as both direct contributor and moderator in converting decisions.

This study aims to examine the relationship between human resource development (HRD) and the interaction between corporate social responsibility (CSR) and marketing capabilities in small and medium enterprises (SMEs) in the food industry.

This research uses the extended regression model on a sample of 2,649 food SMEs in Vietnam.

This research found that CSR and marketing strategies positively influence HRD; the interaction of CSR and marketing capabilities has a negative effect on HRD; the endogenous role of network capabilities on the effects of CSR and marketing capabilities on HRD.

This research helps food companies use their resources in allocating resources for CSR and conduct marketing reasonably and effectively. This study highlights that the impact of CSR and marketing on HRD is dominated by endogenous networking.

This paper aims to investigate the linkage between corporate social responsibility (CSR) and earnings quality (EQ) in the context of Vietnam, an Asian emerging economy characterized by high growth for decades and a socialist orientation. As CSR firms are expected to have high EQ, there arise concerns that corporate managers of CSR firms may use the reputation of the firm as a protection mechanism against the cost of earnings management.

The study uses a unique sample of Vietnamese CSR firms listed on Hanoi and Ho Chi Minh Stock Exchanges from 2015 to 2019. Several econometric tests are conducted to investigate whether corporate managers of CSR-active firms actively engage in earnings management and reduce the firms' EQ.

The empirical results show a negative impact of CSR on EQ, meaning that, in general, corporate managers of CSR firms in Vietnam opportunistically manage earnings. This confirms the paradox of the CSR–EQ relationship. In line with an emerging strand of research in the CSR literature, the finding suggests that the agency problem arises in CSR firms where corporate managers use their managerial discretion over accrual accounting to manipulate reported earnings.

The finding has practical implications for market participants and policymakers in improving monitoring mechanisms and enhancing the information environment in developing capital markets.

This is the first study in the literature that investigates and shows the paradox of the CSR–EQ relationship in the context of Vietnam, a new emerging economy that follows socialist orientation.

This paper aims at assessing the impact of institutional and cultural distances and trade barriers on ASEAN's trade efficiency using a panel data set of 65 countries for the period 2006–2017.

First, the authors applied an improved version of the stochastic frontier model to estimate the trade efficiency scores. After that, we used the system generalized method of moment (GMM) estimator to investigate the impacts of institutional and cultural distances on ASEAN's trade efficiency.

The results show that the trade efficiency of ASEAN countries with the rest of the world (ROW) is moderate, ranging from 0.561 to 0.612, but shows a downward trend. This result indicates that considerable trade potential exists between ASEAN countries and ROW. Institutional and cultural distances, as well as the trade barriers, negatively affect ASEAN's trade efficiency. Efforts to reduce differences in institutions and cultures and to promote trade liberalization are vital remedies for ASEAN countries to turn potentials into actual trade performance.

This study contributes to the existing literature in three different ways. First, this is the first study on the impact of the differences between internal and external characteristics on trade efficiency, specifically, the impact of institutional and cultural distances on ASEAN's trade efficiency. Second, to obtain accurate efficiency scores, the authors use an improved version of the stochastic frontier model proposed by Karakaplan (2018), which can control the problem of endogeneity. Third, in quantifying the determinants of trade efficiency, the authors apply a system GMM estimator, which allows us to overcome the problems of endogeneity, measurement errors, and omitted variables.

Recently, the concept of big data (BD) has evolved and started to play an essential role in the advancement of new product development (NPD) in various sectors contributing to value creation, idea generation and competitive advantage. However, limited research has been done on how the food industry can exploit BD to improve the processes involved in NPD. The purpose of this paper is to understand the use of BD in new food product development. It helps to find relevant information and integrate sustainability to the early stages of the NPD process in the food industry.

This research illustrates a case study of a beverage company wherein they used BD analytics to support their NPD team to launch a two-litre lemonade drink in the market for their retailer with less than 5 g sugar per 100 ml in the shortest possible time.

The use of BD helps to reduce NPD costs and time without affecting the taste and on par with competitor’s products.

The research can support NPD professionals through the application of BD analytics to bring products at lower costs to the market as quickly as possible.

The recent decades have witnessed the rising frequency and severity of infectious diseases in the international context and their detrimental impacts on the corporate world as a result of growing interconnection among nations. This study aims to examine the effect of previous infectious diseases (H5N1, H1N1 and MERS) on the disclosure of corporate social responsibility (CSR) among listed Chinese firms from 2006 to 2017.

Firm-level financial and CSR data of Chinese non-financial listed firms are from the China Stock Market and Accounting Research database. The data on corporate governance are collected from Bloomberg financial database. Three infectious diseases under examination are H5N1 (2006–2007), H1N1 (2009–2010) and MERS (2015–2016). This study uses the fixed-effect estimations to account for time-invariant differences among the firms in the sample.

The results reveal that Chinese firms disclose less CSR information during the time of public health crises, and this impact is more pronounced in small-sized and low-growth firms. Besides, the analysis suggests that Chinese firms are becoming more resilient to infectious diseases.

The findings provide implications for corporate stakeholders to understand corporate policies under uncertainties and inform vulnerable businesses to develop an appropriate CSR strategy in preparation for future health calamities.

This study provides new insights into how businesses react to previous epidemics and pandemics at different scales other than the COVID-19 pandemic. Besides, the findings shed light on the dynamic of firms’ CSR engagement during and after the infectious outbreaks.

This research proposes a decision framework for using non-financial measures to define a replenishment policy for perishable health products. These products are perishable and substitutable by nature and create complexities for managing inventory. Instead of a financial measure, numerous measures should be considered and balanced to meet business objectives and enhance inventory management.

This research applies a multi-methodological approach and develops a framework that integrates discrete event simulation (DES), analytic hierarchy process (AHP) and data envelopment analysis (DEA) techniques to define the most favourable replenishment policy using non-financial measures.

The integration framework performs well as illustrated in the numerical example; outcomes from the framework are comparable to those generated using a traditional, financial measures-based, approach. This research demonstrates that it is feasible to adopt non-financial performance measures to define a replenishment policy and evaluate performance.

The framework, thus, prioritises non-financial measures and addresses issues of lacking information sharing and employee involvement to enhance hospitals' performance while minimising costs. The non-financial measures improve cross-functional communication while supporting simpler transformations from high-level strategies to daily operational targets.

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.