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This study aims to investigate the effect of supply chain quality management on operational performance in Vietnamese manufacturing companies.

Questionnaire survey is conducted to collect data from Vietnamese manufacturing companies in the electronic/electric industry. Collected data were analyzed by using correlation analysis and hierarchical regression analysis.

This study points out the current situation of implementing supply chain quality management practices in Vietnamese manufacturing companies which are more focused on internal quality management practices than upstream and downstream quality management practices. Correlation and regression analyses that demonstrate the significant linkage between supply chain quality management practices and operational performance are confirmed in this study. Upstream and downstream quality management are found to be the significant predictor for high performance on quality, cost and delivery.

This study has some limitations that can be addressed in future studies. The first limitation is the relatively small sample size due to lack of time and resources. These constraint can be overcome in future works by collecting more data in diverse countries and industries to re-examine the framework. Furthermore, larger sample will allow researchers to apply other statistical methods such as path analysis and structural equation modelling, which would provide interesting results. Another limitation is that the collected data in this paper mainly rely on perceptions of the respondents, which may cause individual bias in analysis. To reduce this type of bias, both subjective and objective measurement of scales, especially performance measures, can be used in future studies.

This study provides empirical evidences that practitioners can use to improve a specific type of performance, especially in the context of emerging economies. In a turbulent and unpredictable business environment, it is emphasized that quality management should be extended at supply chain level to utilize the capabilities of external partners. In Vietnamese manufacturing firms, implementation of such practices as information technology links, information sharing, supplier involvement and customer involvement would lead to high level of operational performance.

Supply chain management and quality management are two fields of study that have gained much attention of researchers. However, the concept of supply chain quality management as well as its impact on business performance have not been fully studied, especially in context of a developing country. Through extensive literature review, this study proposes and tests an analytical framework that characterizes supply chain quality management into three elements: internal quality management, upstream quality management and downstream quality management. Subsequently, their impact on quality, cost and delivery are analyzed to provide better understanding of supply chain quality management in Vietnamese context.

During crises, notably the recent COVID-19 pandemic, a heightened sense of urgency has manifested as a catalyst for improvement within organizations. The present study aims to explore the influence of a sense of urgency on individual kaizen performance. Additionally, the study delves into the potential moderating roles of organizational culture in this relationship.

Data samples include 481 employees who are working at Japanese manufacturing companies. SPSS software is used for data analysis, comprising measurement test, correlation and regression analysis.

A sense of urgency was found to predict a higher number of accepted suggestions. Moreover, there is a significant and positive interaction effect of adhocracy culture and a sense of urgency on writing and submitting ideas.

As an initial study that empirically tests the relationship between a sense of urgency and individual kaizen performance, this paper contributes to the literature on kaizen, change management and innovation. It also corroborates previous research on the Person-Organization fit framework.

This study examines the role of anxiety in kaizen behaviour and performance by empirically testing the influence of personal anxiety (state and trait) on individual kaizen behaviours (rule adherence, initiative and perseverance of effort), which, in turn, affect individual kaizen performance.

The data were obtained from a survey of 552 employees of four companies in Japan and analysed using structural equation modelling.

The results show that state anxiety has a significantly positive effect on rule adherence and kaizen performance. Trait anxiety positively influences employees' initiative and perseverance but has a significant negative effect on kaizen performance.

This study contributes to kaizen and continuous improvement theory by focussing on individual kaizen, which is considered to be as important as organisation-level kaizen and investigating the relevance of personal anxiety in individual kaizen behaviours and kaizen performance.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Firms seeking improved performance to meet complex challenges fueled by uncertain conditions can increase employee ability to find creative solutions by generating a sense of urgency. The likelihood of this can increase when either a clan or adhocracy organizational culture prevails.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this paper is to investigate the role of cognitive proximity on supply chain collaboration and how it relates to radical and incremental innovation.

The paper is based on quantitative approach to analyze the data of 218 firms in a developing and transition economy. The proposal model is tested with exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM).

The authors’ findings show that cognitive proximity facilitates decision synchronization and incentive alignment in the supply chain. Furthermore, the authors’ results indicate that information sharing and decision synchronization are determinants of radical innovation while incentive alignment is a determinant of incremental innovation.

This study was cross-sectional, so the authors could not consider the control variable such as sectors or firms’ size. It is hard to control the specific features of cognitive proximity in one single industry when using cross-sectional data. In future investigations, it may be possible to use a different dimension of proximity to explain the implementation of collaboration for innovation.

This study attempted to explore the role of cognitive proximity on supply chain implementation process in the context of a transition economy. Moreover, the authors’ findings provide the clearer understanding of the relationship between collaboration and innovation.

Northern Vietnam is a mountainous area where most farmers' livelihoods depend on maize production. Beside training in farming techniques, since 2013 extension courses on market access have been gradually delivered to maize farmers to help them save production costs and increase earnings.

By applying robust regression and Tobit models to estimate technical efficiency (TE), the difference-in-difference (DID) technique is used in this study to determine the change in the TE of 1,035 farmers in the period 2013–2015 in Northern Vietnam.

The DID estimator indicated the initial success of extension courses by showing a faster increase in the TE of the receivers compared to that of non-receivers. However, co-operation in production and marketing by maize farmers and access to micro-credit resulted in an insignificant impact on the TE of maize farmers in 2015. These low impact results highlighted the inefficiency of the extension and micro-credit programmes and that raised the concern of policymakers. The distance to local market signifies the determination of farmers on their crops affected by how close their location to their input/output marketplaces.

The Land Policy of the government should take into careful consideration measures to exploit all potential production and to mitigate poverty as well as foster the development of the region.

The expansion of extension courses on access to market has been recognised as an effective method to increase farmer's efficiency.

The purpose of this paper is to investigate the relationship between relational capital and supply chain collaboration (SCC) and how this relationship relates to innovation. The authors propose a theoretical framework to illustrate the effect of relational capital on three dimensions of collaboration and radical and incremental innovation.

The paper has a quantitative approach. The authors conducted the survey to collect the data from 225 suppliers in the Hunan province of China. The proposed model is tested with exploratory factor analysis, confirmatory factor analysis and structural equation modelling.

The findings show that relational capital can facilitate information sharing and benefit/risk sharing when firms work together to achieve innovation. Furthermore, the results indicate that relational capital leads to radical innovation through facilitating information sharing among firms and helps in generating incremental innovation by encouraging firms to share risks and benefits with their partners.

The findings of this study give some suggestions for managers of the firms in terms of building their collaborative strategies. Managers should exploit relational capital to build successful and long-term collaboration. Also, through relational capital, managers can share information to create radical innovation or pool risks and share benefits with their customers to achieve incremental innovation.

This study provides a nuanced understanding of the relationship between relational capital, different dimensions of SCC and innovation in the context of a developing economy. Moreover, the findings provide a clearer understanding of the collaborative mechanism of relational capital and collaboration to achieve radical and incremental innovation.

This research applies the stimulus-organism-behavior-consequence framework to explore how blockchain-enabled traceability influences trust in organic food producers and retailers, which impacts consumers’ purchase behaviors and subsequent outcomes.

Using a purposive sample of 5,326 Vietnamese consumers, multiple linear and polynomial regression with response surface analysis were employed to examine the hypotheses.

Blockchain-enabled traceability significantly enhances trust in both producers and retailers, which congruently and incongruently influences organic food purchase behaviors. This behavior also drives consumers’ word-of-mouth and repurchase intentions. Serial mediation analysis confirms blockchain’s impact through trust and purchase behaviors.

Stakeholders should adopt blockchain to boost transparency and trust, which increases consumer engagement. Policymakers can support this transition through regulations and incentives to enhance food security and sustainability.

This study expands on blockchain research by applying the stimulus-organism-behavior-consequence framework in the organic food supply chain, showing how blockchain-enhanced trust synergistically affects consumers’ purchase behaviors, word-of-mouth and repurchase intentions.

Institutional pressure and corporate social responsibility (CSR) are gaining increasing recognition in scholarly works; however, there is an apparent and unsettled relationship between these concepts and the concept of green marketing adoption (GMA) that influences efforts to gain a relative competitive advantage (RCA). This study is aimed at examining the roles of institutional pressure and CSR on GMA and RCA and proposes recommendations for promoting green marketing management and CSC in the banking industry in Vietnam.

In this study, partial least squares structural equation modeling is utilized to investigate the evolution of the structural model, while the hypotheses are evaluated using structural equation modeling (SEM). The data are scrutinized from 288 banking employees through an online survey.

The results show that the components of institutional pressure exert a significant impact on GMA and RCA, but the level and type of this impact differ. Additionally, the mediating role of the CSR variable in this relationship is revealed. Under the influence of institutional pressure, companies tend to increase their implementation of CSR activities, thereby promoting their GMA and RCA.

This study offers both theoretical and practical implications. Theoretically, this study adds to the extant evidence concerning the significance of CSR integration and institutional pressure to the advancement of GMA. In addition, maintaining a focus on fostering holistic GMA practices has enabled the banking industry in Vietnam to achieve an RCA.

This study aims to investigate what drives tourists to continue using ChatGPT for travel purposes. This study focuses on the impact of parasocial interaction on tourists’ intention to continue using ChatGPT. It also examines how satisfaction mediates this relationship and the role of technology anxiety as a moderating factor.

Using a sample of 606 tourists in popular Vietnamese tourist destinations, this study used the SPSS PROCESS macro (Model 4 and Model 14) to estimate the research model.

The study found that tourists’ satisfaction and parasocial interactions positively influenced their intention to continue using ChatGPT for travel purposes. The tourists’ satisfaction was found to play a partial role in mediating the relationship between parasocial interactions and their intention to continue using ChatGPT. Technology anxiety was found to be a negative moderator of the direct effect of satisfaction and the indirect impact of parasocial interaction on this intention.

This study stands out as a pioneering exploration into the novel intersection of parasocial interaction, satisfaction, and technology anxiety and their influence on tourists’ intention to persist with using ChatGPT for travel-related purposes.