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While previous studies have investigated the factors influencing the internet adoption, the findings may not be transferable to explain blockchain technology adoption, despite its similarities to the internet. This study aims to address this gap by exploring the mediating effect of innovation culture and the moderating effect of innovation policies on business model innovation (BMI) outcomes in emerging economy firms. It investigates how these factors synergistically facilitate BMI, offering practical guidance for public authorities and managers to develop relevant policies and govern businesses effectively.

This study collected data from 287 valid responses among 948 listed companies on the Taiwan Stock Exchange using a structured questionnaire. This study used structural equation modeling and Process Model 5 to analyze direct and indirect effects, focusing on corporate key capabilities for BMI while exploring the combined impact of innovation culture and policies.

The study revealed that innovation culture and innovation policies synergistically facilitate BMI, accelerating firms’ progress toward BMI in the emerging economy context. These outcomes offer valuable guidance for public authorities and company managers in formulating relevant policies and managing businesses effectively.

This study contributes to the literature by uniquely exploring the combined influence of innovation culture and policies on BMI in emerging economy firms, shedding light on their compounding effect and offering practical implications for policy-making and business management.

This study aims to make government usage of technology research grants more efficient and to evaluate how to use university–industry–research cooperation to promote industrial innovation in Taiwan.

This case study aims to use the triple helix model and other references to develop indicators which can estimate the performance of university–industry–research cooperation in Taiwan. The study selects three facets: “(prior) mechanisms,” “(in-progress) regulations” and “(post-hoc) operations” to find out the critical indicators contributing the final outcome. The study found that a successful university–industry–research cooperation requires the following factors: strengthening review methods for the mechanisms; its relationships of rights and obligations; policy needs in regulations; and plan incentives in operations.

It is recommended that, to promote university–industry–research cooperation in Taiwan, resource distributors and program management units should not only continue program application incentives and strengthen interdepartmental resource integration, they should also consider the establishment of a fair, just and open review mechanisms, and they should enhance the relationship between the rights and obligations of university–industry–research cooperation.

The study of this program includes application review before, during and after the program, management examination and performance evaluation to formulate recommendations as reference points for resource distributors and grant recipients. And because of industry–university cooperation being the main way of research and technology development, the findings and suggestions of this study may also be helpful for other grant systems in the world.

The purpose of this paper is to present a procedure for identifying a corporate social responsibility (CSR) model with best goodness‐of‐fit. This research constructed a model of which CSR was mainly influenced by four core components: accountability, transparency, competitiveness, and responsibility.

The data presented in this study were collected from companies in the year 2009 in Taiwan using questionnaires, and in total 185 companies were analyzed. Structural equation modeling was applied to assess the proposed CSR model containing four latent factors and 13 observation indicators.

The results of confirmatory factor analysis indicated that the correlation among four latent variables was significant, and the second‐order factor structure fit the observed data well.

The result supported the proposed model that four constructs played a dominant role toward CSR. Business leaders therefore could have clearer perspectives while facing challenges regarding CSR issues.

The paper shows that while developing business strategies, companies taking accountability and transparency as priority would strengthen their competitiveness and generate responsibility and in turn lead to CSR. Companies would obtain great advantages in the long run.

The purpose of this paper is to empirically investigate the causal relationships among four components in corporate social responsibility (CSR) domain. This study posits that CSR is mainly influenced by: accountability, responsibility, transparency, and competitiveness.

A path analysis is employed to determine the relationships, while confirmatory factor analysis is applied to assess the construct validity of the model. The data presented in this study were collected from Taiwanese companies in the year 2009 using questionnaires. A total of 170 companies were analyzed.

The results show that both accountability and transparency provide statistically significant contributions to the prediction of competitiveness, which in turn has a significant effect on responsibility.

First, the paper encompasses four core factors influencing the measurement of CSR. Second, the sample size used to analyze the diversity of concepts may appear small and therefore the result may not be considered precise since the total number of companies in Taiwan is over one million. Large sample size may lead to different results and therefore needs to be further explored. Third, while the proposed model was only tested in Taiwan, a country with 97.8 percent SMEs, the outcome of the research may only be applicable to Taiwan rather than to other countries with different national systems of business‐society relations. Finally, this study only investigated the relationships among core components of CSR.

While developing business strategies, companies taking accountability and transparency as priority will strengthen their competitiveness and in turn generate responsibility and lead to CSR, a way to reach corporate sustainability.

The results provide business leaders with practical advice that implementing CSR is not only the smart and right thing to do from a business perspective, but also the right thing to do from a society perspective.

Applying for international standards could be a feasible and optimal way to show commitments to CSR implementation.

This study examines the relationships among workplace incivility, job satisfaction and turnover intention for tourist hotel chefs. Furthermore, emotional intelligence is taken as the moderating variable on the relationships between workplace incivility and job satisfaction and workplace incivility and turnover intention.

Tourist hotel chefs were invited to participate in this study using purposive sampling, and a structured questionnaire was administered to carry out the investigation on tourist hotel chefs.

The results show that workplace incivility has negative effects on job satisfaction and casts positive effects on turnover intention through job satisfaction. Emotional intelligence has a significant moderating effect on the relationship between workplace incivility and job satisfaction.

This study firstly demonstrated the relationships among workplace incivility, job satisfaction and turnover intention for tourist hotel chefs. Furthermore, the moderating effect of emotional intelligence on the relationship between workplace incivility and job satisfaction was also validated.

This empirical study explored how coworker incivility and customer incivility affect the work engagement and job performance of frontline employees.

To investigate the incivility and characteristics of hospitality industry workplaces, this study recruited frontline employees from tourist hotels as study participants. Because complete contact information could not be obtained for this population, convenience sampling was employed. A structured questionnaire was used for data collection.

Coworker incivility and customer incivility reduced work engagement and job performance. The effects of coworker incivility on the work engagement and job performance are greater than those of customer incivility. Furthermore, work engagement has a positive effect on the job performance.

Although studies have investigated the effects of customer incivility, these effects have not been compared with those of coworker incivility. Moreover, studies on the influence of coworker and customer incivility on job performance and work engagement in the hospitality industry and on those of work engagement on job performance have been scant. The current empirical study investigated the effects of coworker and customer incivility on the job performance and work engagement and of frontline hospitality employees.

The purpose of this study is to explore the capabilities required by entry-level human resources (HR) professionals based on job advertisements by using text mining (TM) technique.

This study used TM techniques to explore the capabilities required by entry-level HR professionals based on job advertisements on HR agency 104’s website in Taiwan. Python was used to crawl the advertisements on the website, and 841 posts were collected. Next, the author used TM to explore and understand hidden trends and patterns in numerous data sets.

The results of this study revealed four critical success factors (specific skills, educational level, experience and specific capabilities), five clusters and ten classifications.

The results can aid HR curriculum developers and educators in customizing and improving HR education curricula, such that HR students can develop capabilities required to secure employment in the current HR job market.

Our results may facilitate the understanding of the current trends in the HR job market and provide useful suggestions to HR curriculum developers for improving training and professional course design, such that students’ competitiveness is enhanced and professional capabilities improved.

The purpose of this paper is to investigate the state of logistics management research in Asia. The study focuses on the research agenda, the topics of interest, and the extent of research collaboration in logistics theory building and knowledge specific to Asia.

This study uses a mixed methods approach namely, content analysis drawn from the articles found in six well-recognized peer-reviewed logistics management related journals from 2003 to 2013, followed by social network analysis which is applied on the selected articles to provide a structure of the collaboration relationship.

Initial findings suggest that there are some scholars in Asia who are instrumental in research collaboration and in building a body of knowledge on logistics management focused on Asia. More co-production of knowledge from deeper and tightly knit industry-academic collaboration is needed to progress this domain. Most of the published work use an empirical instrument drawn from the resource-based view to explore firm level supply chain collaboration and strategy. This suggests a positivist research tradition within logistics. There is a shortage of studies conducted on the supply chain as a network of enterprises.

The review of the articles is limited to six logistics specific journals and the authors only concentrate on logistics management research focused on Asia. The contributions from the other journals may have been missed. More collaboration at the institutional, national, and international levels is called for especially on cross-collaboration between practice and theory.

Though the analysis is restricted to 260 articles found in six journals, this paper can shed light on the research needs from different perspectives and facilitate the progress of logistics management research in Asia.

This is the first paper to discuss the state of logistics management research collaboration in Asia, and provides an overview of the research issues, topics, and approaches undertaken thus far. Through this work, this study hopes that it will encourage greater research collaboration between industry and academia, and academics themselves.