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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.

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 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.

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.

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.

We examine explicitly priced financial distress risk in post-1990 equity markets. We add a financial distress risk factor to Fama and French's (1993) three-factor model, based on Griffin and Lemmon's (2002) findings that financial distress is not fully captured by the book-to-market factor. We test three-factor and four-factor capital asset pricing models using both annual buy-and-hold analysis and monthly time series analysis across portfolios adjusted for common book-to-market, size, and financial distress factors. We find empirical support for an Ohlson (1980) O-score-based financial distress risk four-factor asset pricing model in the U.S. and Japanese markets.

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.

This study aims to investigate how the “cooking holiday” concept can be used by tourism authorities and practitioners and, to that end, proposes a hierarchical framework for improving culinary tourism.

This study adopted the Delphi method to filter and verify the criteria, thereby constructing a hierarchical framework of cooking holidays in Taiwan. The analytic hierarchy process (AHP) was also applied to calculate the relative weight of each attribute and criterion, thus identifying their degrees of importance.

Four attributes (“local food,” “food trail,” “cooking experience” and “environment and atmosphere”) and 22 criteria were identified to comprise a cooking holiday experience framework. Research findings reveal “cooking experience” as the most crucial of the four attributes identified. Of the more numerous criteria, “ingredients with integrity,” “local features” and “diverse curriculum” were identified as the three most important.

The hierarchical framework of cooking holiday experiences can be used by tourism authorities and practitioners to enhance experiential quality for tourists and promote culinary tourism in Taiwan. According to the research findings, cooking class participants can concentrate on the “cooking experience” while emphasizing “ingredients with integrity,” “local features” and “diverse curricula” in the context of cooking holidays.

This study offers valuable insights and suggests directions for future research on culinary tourism. This study also offers a framework for developing cooking holidays.

本文旨在探究可以如何运用「烹饪假期」之概念, 藉由阶层架构之提出, 藉以提升美食观光。

本文运用德尔菲法筛选与确认台湾烹饪假期阶层架构之指标与建构。并以层级分析法(AHP)估算每一属性与指针之相对权重, 藉以确认相对重要程度。

烹饪假期体验架构系由四个属性（「在地饮食」、「产制体验」、「烹饪体验」与「环境氛围」）与二十二个指标构成。研究发现显示「烹饪体验」在于四个属性之中最为重要。多项指标之中, 「安心食材」「在地特色」与「多元课程」系为最为重要之三个指标。

烹饪假期体验之阶层架构可为观光主管机关与业者运用, 藉以提升游客之体验质量与推广台湾之美食观光。依据研究发现, 烹饪教室参与者可以专注「烹饪体验」, 并且强调「安心食材」、「在地特色」与「多元课程」之要素, 藉以发展烹饪假期。

本文提供具有价值之洞见, 可供美食观光未来研究之参考。本文同时提供一个可以用以发展烹饪假期之架构。

Este estudio tiene como objetivo investigar cómo se puede utilizar el concepto de “vacaciones de cocina” al proponer un marco jerárquico para mejorar el turismo culinario.

Este estudio adoptó el método Delphi para filtrar y verificar los criterios y construir el marco jerárquico de las vacaciones de cocina en Taiwán. El proceso analítico jerárquico (AHP) también se aplica para calcular el peso relativo de cada atributo y el criterio para identificar su grado de importancia.

Se identificaron cuatro atributos (“comida local”, “ruta culinaria”, “experiencia culinaria” y “entorno y ambiente”) y 22 criterios para comprender un marco de experiencia de vacaciones culinarias. Los resultados de la investigación revelan que la “experiencia culinaria” es el atributo más relevante de los cuatro identificados. De los criterios más numerosos, “ingredientes con integridad”, “características locales” y “currículum diverso” fueron identificados como los tres más importantes.

El marco jerárquico de la experiencia de las vacaciones de cocina se puede utilizar para que las autoridades y los profesionales del turismo mejoren la calidad de la experiencia de los turistas y promuevan el turismo culinario en Taiwán. Según los resultados de la investigación, los participantes de las clases de cocina pueden concentrarse en la “experiencia de cocina” y enfatizar los elementos de “ingredientes con integridad”, “características locales” y r“currículum diverso” para las vacaciones de cocina.

este estudio ofrece información valiosa, proporciona una referencia para futuras investigaciones sobre turismo culinario. Este estudio también ofrece un marco teórico, que se puede utilizar para desarrollar vacaciones de cocina.

The purpose of this study is to unpack the antecedents and consequences of clickbait prevalence in online media at two different levels, namely, (1) Headline-level: what characteristics of clickbait headlines attract user clicks and (2) Publisher-level: what happens to publishers who create clickbait on a prolonged basis.

To test the proposed conjectures, the authors collected longitudinal data in collaboration with a leading company that operates more than 500 WeChat official accounts in China. This study proposed a text mining framework to extract and quantify clickbait rhetorical features (i.e. hyperbole, insinuation, puzzle, and visual rhetoric). Econometric analysis was employed for empirical validation.

The findings revealed that (1) hyperbole, insinuation, and visual rhetoric entice users to click the baited headlines, (2) there is an inverted U-shaped relationship between the number of clickbait headlines posted by a publisher and its visit traffic, and (3) this non-linear relationship is moderated by the publisher's age.

This research contributes to current literature on clickbait detection and clickbait consequences. Future studies can design more sophisticated methods for extracting rhetorical characteristics and implement in different languages.

The findings could aid online media publishers to design attractive headlines and develop clickbait strategies to avoid user churn, and help managers enact appropriate regulations and policies to control clickbait prevalence.

The authors propose a novel text mining framework to quantify rhetoric embedded in clickbait. This study empirically investigates antecedents and consequences of clickbait prevalence through an exploratory study of WeChat in China.