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The four purposes of this study are to understand the development and the current status of Taiwan’s far seas longline tuna fisheries through a review of the literature and interviews; to investigate the attitude of Taiwanese fishing vessel operators fishing in the Indian Ocean concerning the use of transportation under the influence of various factors; to analyze the relationship between changes in the transportation behavior of Taiwanese fishing vessel operators and various factors; and to provide suggestions to government and industry associations concerning the development of viable response strategies.

This paper uses methods including factor analysis and the analytic hierarchy process to analyze questionnaires collected from industry personnel and governmental personnel involved in the supply chain system of the longline tuna fishery in the Indian Ocean.

It is found that 16 assessment criteria in four major dimensions have major influence on the choice of cold chain transport. An assessment of all dimensions indicates that reefer ships are still the preferred means of transshipping frozen catch.

This paper seeks to investigate factors affecting choice of cold chain mode of transport from the perspective of Taiwanese companies operating longline tuna fishing vessels in the Indian Ocean, which are chiefly motivated by the need to reduce operating costs, and also looks at their choices of means of transport.

Because of its omission of social influences, conventional animosity research has failed to sufficiently consider consumption context. To address this limitation, this research constitutes two interrelated parts: (a) investigating how normative influences (value-expressive and utilitarian influences) shape consumers’ animosity attitudes and purchase intentions; and (b) building on the normative influence perspective and separating consumption context into purchase (online vs. offline) and usage (private vs. public) contexts. The goal was to examine under the condition of preference conflict, how consumption contexts with different degrees of behavioral exposure affect purchase decisions.

One pretest, one survey and one experiment were conducted to empirically validate the proposed research model.

In an international crisis, consumers’ attitudes and behaviors were socially determined. Moreover, the online purchase with private usage (offline purchase with public usage) condition resulted in the highest (lowest) level of purchase intention.

This research pioneers in the animosity literature to identify the possibility of preference conflict in a situational international crisis, and to more delicately separate the conventional consumption context into purchase and usage contexts.

Today’s software engineers often work in teams to develop complex software systems. Therefore, successful software engineering in practice require team members to possess not only sound programming skills such as analysis, design, coding and testing but also soft skills such as communication, collaboration and self-management. However, existing examination-based assessments are often inadequate for quantifying students’ soft skill development. The purpose of this paper is to explore alternative ways for assessing software engineering students’ skills through a data-driven approach.

In this paper, the exploratory data analysis approach is adopted. Leveraging the proposed online agile project management tool – Human-centred Agile Software Engineering (HASE), a study was conducted involving 21 Scrum teams consisting of over 100 undergraduate software engineering students in multi-week coursework projects in 2014.

During this study, students performed close to 170,000 software engineering activities logged by HASE. By analysing the collected activity trajectory data set, the authors demonstrate the potential for this new research direction to enable software engineering educators to have a quantifiable way of understanding their students’ skill development, and take a proactive approach in helping them improve their programming and soft skills.

To the best of the authors’ knowledge, there has yet to be published previous studies using software engineering activity data to assess software engineers’ skills.

The authors focus on a non-Western setting that has hardly featured in debates around political authenticity, Taiwan. The authors also adopt a novel inter-generational perspective to look at varying attitudes towards two ‘unconventional’, high-profile politicians, Ko Wen-je and Han Kuo-yu. Drawing on focus group data, the authors note the similarities and differences in the way that the different generations engage with, and assess, the two politicians with a particular focus on the extent to which their personalities, appearance, and everyday activities are perceived as authentic.

Allocation of complex crowdsourcing tasks, which typically include heterogeneous attributes such as value, difficulty, skill required, effort required and deadline, is still a challenging open problem. In recent years, agent-based crowdsourcing approaches focusing on recommendations or incentives have emerged to dynamically match workers with diverse characteristics to tasks to achieve high collective productivity. However, existing approaches are mostly designed based on expert knowledge grounded in well-established theoretical frameworks. They often fail to leverage on user-generated data to capture the complex interaction of crowdsourcing participants’ behaviours. This paper aims to address this challenge.

The paper proposes a policy network plus reputation network (PNRN) approach which combines supervised learning and reinforcement learning to imitate human task allocation strategies which beat artificial intelligence strategies in this large-scale empirical study. The proposed approach incorporates a policy network for the selection of task allocation strategies and a reputation network for calculating the trends of worker reputation fluctuations. Then, by iteratively applying the policy network and reputation network, a multi-round allocation strategy is proposed.

PNRN has been trained and evaluated using a large-scale real human task allocation strategy data set derived from the Agile Manager game with close to 500,000 decision records from 1,144 players in over 9,000 game sessions. Extensive experiments demonstrate the validity and efficiency of computational complex crowdsourcing task allocation strategy learned from human participants.

The paper can give a better task allocation strategy in the crowdsourcing systems.

This research paper aims to illustrate that the new product communication effects of mental simulation (process-vs. outcome-focused) might depend on product attributes (typicality and benefits). Communication effects include ad attitudes and product attitudes in this study.

One 2 (mental simulation: process-focused vs. outcome-focused) x 2 (attribute typicality: high vs. low) x 2 (attribute benefits: hedonic vs. utilitarian) between-subjects experiment design was conducted. SPSS was used to do data analysis.

This article reveals that high (low) typicality of new attributes causes a process-focused (outcome-focused) simulation to lead to better consumer attitudes (i.e. ad attitude and product attitude). In addition, for a new hedonic attribute, a low typical attribute induces better consumer attitudes. Furthermore, there are interaction among mental simulation, product attribute typicality and benefits. These findings have important implications for academic developments and marketing management.

Compared with previous studies, this study is unique in several ways. First, enterprises often develop new products by introducing new product attributes (i.e. new features). Product attribute typicality is an interesting issue for new product design and communication. This research illustrates that the marketing communication effects of attribute typicality depends on attribute benefits and mental simulation. Second, the current research finds the new product attribute benefit (i.e. hedonic/utilitarian) play an important role and moderates the effects of mental simulation on consumer attitudes.

The purpose of this paper is to monitor the environmental efficiency of suppliers in the presence of undesirable output and dual-role factors with static and dynamic aspects. Meanwhile, it also aims to explain the main reason for the low efficiency of suppliers.

The authors propose a modified data model considering undesirable output and dual-role factors. The study integrates the modified data envelopment analysis model into the distance function of the Malmquist–Luenberger index. Moreover, this study uses the global benchmark technology to formulate a two-stage model. To verify the validity of this model, a model application is conducted on an automotive spare components company in China.

The results identify the unique status of dual-role factors based on the global optimality of the model and then categorize inefficient suppliers in an individual evaluation cycle. In addition, each supplier is projected on a frontier curve after obtaining the improved data. Furthermore, through the status plot of M-L and its components, this paper concludes that efficiency scale change is the main reason for the gap in ecological performance between different suppliers.

The proposed model considers both undesirable output and dual-role factors; however, variables with different features, such as imprecise, fuzzy and qualitative characteristics, can be embedded into the presented two-stage model.

Evaluating green suppliers through multiple consecutive evaluation cycles will aid a company in effectively managing its key suppliers. Furthermore, the evaluation provides policy guidance for further improvement of suppliers.

This study examines the role of user psychological empowerment (PE) as a specific type of PE in the context of using health information systems (HIS) and incorporates the contribution of autonomous motivation and knowledge sharing intention (KSI) to the resolution of the key dynamics of interpersonal knowledge sharing behavior (KSB) in healthcare organizations.

For the data analysis, survey data were collected from 350 employees at three large teaching hospitals in Taiwan. In this study, the partial least squares technique was used with SmartPLS 3.3 software to validate the research model.

User PE had significant positive effects on autonomous motivation, KSI and KSB. Additionally, autonomous motivation positively affected KSB directly and indirectly via KSI.

Insights into motivation (e.g. user PE and autonomous motivation) play a key role in driving KSI and lead to effective KSB, which aids managers in tailoring their efforts to foster knowledge dissemination and enhance organizational performance.

While finding ways to encourage employees to share knowledge with one another in an organization is an important task, there exists a lack of understanding as to how this task can be accomplished in the context of healthcare organizations. This study is the first to specifically address this issue from a perspective integrating PE and self-determination theory while also incorporating the HIS context with population-specific measures (healthcare organizations) to expand the application of empowerment theory to the information system domain.

Against the background of actively promoting the reform of mixed ownership in China, this study regards government ownership in private sector enterprises (PSEs) as an important political connection mechanism and examines private holding listed companies in high-polluting industries that sold China A-shares from 2012 to 2019.

Using regression models such as Tobit and negative binomial estimation, the research empirically examines the impact of government ownership in PSEs on the corporate fulfillment of their environmental responsibilities.

Government ownership can effectively promote PSEs to fulfill their environmental responsibilities. Government ownership, as a corporate-level political connection mechanism, enables the government to provide firms with more environmental protection subsidies and environmental tax incentives, encouraging firms to fulfill their environmental responsibilities. When considering the policy risks faced by PSEs, government ownership effectively reduces the impact of policy uncertainty on firms’ fulfillment of environmental responsibilities. Additionally, verifying the economic development level of the city in which the firm is located makes the positive impact of government ownership on fulfillment of environmental responsibilities of PSEs in regions with lower economic development levels more significant.

Unlike existing studies that generally use the personal political identity of entrepreneurs to measure the political connections of PSEs, this study regards government ownership in PSEs as an important political connection mechanism. It provides a useful reference for China to formulate environmental protection policies for PSEs.

The purpose of this study is to explore the factors influencing customers’ revisit intentions of green hotels after the COVID-19 pandemic.

The study is based on the existing literatures and interviews of 404 respondents visiting hotels after the pandemic. The partial least square structural equation modeling is used to analyze the data.

The findings show that green attitude, green personality and personal norms significantly influence post-COVID-19 green hotel revisit intentions.

The findings of the study may be useful to hotel operators in formulating focused business strategies improving customers’ green hotel revisit intentions and coping with the new normal business environment of the hospitality industry.

The study presents a unique case highlighting how the hospitality business is changing after the COVID-19 pandemic. The study provides important insights for industry operators by integrating attitudes, personality and norms of the customers in examining the green hotels revisit intentions.