A DevOps-based Service-Learning Design in An Advanced IS-related Course

This study examines a DevOps-based service-learning course design in an advanced IS-related course in Taiwan. Specifically, the researcher proposes to investigate teaching case to not only understand direct feedback from students but also retrieve some teaching tips for current course instructors when adopting project-based methods. This ongoing study introduces a course design for sophomore students who are major in management information systems in a consecutive two years. The inductive content analysis of 205 feedbacks from 246 student participants’ responses addresses the proposed research questions and then further proposes three main findings. The preliminary findings of this study contribute to the research stream on information systems education and may provide an encouragement for instructors to be more involved in such DevOps-based service-learning courses

Reviewer as a Blogger: Complimentary or Exclusive between the Performance of Blogs and User-generated Travel Portal Sites

Trip planning has become one of the major online activities in recent years due to the popularity of travel. People could search information about the destinations easily on the travel portal sites by filtering, sorting, searching, and reading the reviews. However, as one of the major sources of the reviewers, the blogger has faced another issue that people prefer to use the travel portal sites instead of reading their long stories to find out their trip solution. The study is expected to help the managers of the travel portal sites improve their performance by identifying the blogger as the reviewer and to help the bloggers know the importance of their reviews on attracting visitors to their own personal travel blogs

A Lie on Sharing Economy: Solutions for Uber Drivers’ Dilemma When Self-Driving Cars Arrive

Self-driving cars have been started to be quickly manufactured and tested for real driving on the road by various companies such as Tesla, Mercedes-Benz, General Motors, Google, and Uber. Uber’s involvement in developing self-driving technology is not a secret – its autonomous vehicle pilot program has been widely mentioned and discussed. However, it seems that people forget one thing when they read the news about the launch of driverless taxi by Uber: Uber is also a leading company in sharing economy that provides a technology platform to collaborate with its ‘registered partners’—who are human drivers and will be replaced by self-driving technology soon. What is the solution for Uber drivers’ dilemma – stay or prepare to leave ridesharing business? This research proposes to provide a research model to answer this question with the ‘real’ factors that will make customers choose ridesharing service with human drivers. A two-step approach with detailed survey on customers as well as semi-structured interview on drivers will be conducted. It is expected that this research will help current Uber drivers know their positions in the dynamic market. People who are facing the similar dilemma (i.e. will soon be substituted by future technologies) will also learn how to survive in the competitive business environment

The Impact of Initial Trust on Usage Intention of Generative Artificial Intelligence: A Social Exchange Perspective on Human-Automation Interaction

Social exchange theory (SET) is a theory that is widely implemented to analyze or explain human behaviors and relationships. Nevertheless, as humans tend to behave socially toward technologies and computers, SET is applied in the field of human-automation interaction (HAI). Thus, this study adopts SET to investigate the interactions between humans and generative artificial intelligence (GAI). Because of the increasing popularity of GAI and the rising importance of technology integration in the workplace nowadays, this study values the research context of using GAI at work. Despite GAI could assist individuals while working, there are drawbacks of GAI, leading initial trust to an important role for individuals to assume the drawbacks in GAI adoption. Considering the utilization of GAI as a form of social exchange behavior, this work aims to examine the impact of initial trust on the usage intention of GAI while incorporating three moderating factors related to social exchange dynamics. The research methodology employs stratified random sampling to gather survey data from individuals with working experience. Research subjects are chosen from different industries. Subsequently, analysis will be conducted to evaluate the findings. Finally, this work can make a valuable contribution to the literature on HAI and can provide practical insights for organizations seeking to employ GAI technologies

An Exploratory Study on the Distribution for The Results of IT-Enabled Value Co-Creation

This paper proposes to discover the phenomenon from an existing online user-generated platform to understand the issue on distributing the final value from the Information Technology (IT)-enabled value collaboration. The main purpose of this paper is to fill up the gap that there is no method to make sure the distribution fairly to find an impartial way on distributing the result of the value collaboration works. It is expected that this paper will help people know the importance of distribution on final value from co-creation and help the virtual platforms of value co-creation improve their performance of collaboration by identifying the participants’ true needs or benefits in order to design a better environment for the next cooperation works

Exploring Digital Nudging on Customer Emotions and Attitudes: Implications for Socially Responsible Consumption Behavior in the Cosmetics Field

Trending in online shopping, businesses frequently employ digital nudging to stimulate consumer purchases. These mechanisms include monetary incentives, such as providing discount information; messenger effect, harnessing the power of opinion leaders to guide consumer purchasing decisions. However, past research has predominantly focused on whether consumer behavior changes, while omitting the emotional and attitudinal factors that drive these changes. In today\u27s society, there is a strong focus on appearance, leading to the widespread use of beauty products. Regrettably, these products pose a certain environmental threat, sparking concerns about social responsibility. Therefore, this study is grounded in social contagion theory and aims to investigate the positive or negative emotions and attitudes that consumers may develop under the influence of digital nudging. Additionally, we will explore how these emotions and attitudes affect subsequent socially responsible consumer behavior. We plan to combine quantitative and qualitative research methods to gain a deeper understanding of the fundamental reasons shaping consumer behavior, which may be related to product characteristics or marketing strategies. This research will aid future businesses in making more informed choices when crafting marketing plans

How Employee Use of Generative Artificial Intelligence Affects Self-Evaluation: Investigating Implications for Job Insecurity and Career Commitment

This research delves into the transformative influence of Generative Artificial Intelligence (GenAI) on the self-evaluation processes of employees within contemporary organizations. In an era marked by rapid technological advancements, the integration of AI into various facets of the workplace is reshaping traditional paradigms. We use Self-Evaluation Maintenance (SEM) Model, which is our theoretical lens, and combining with the concept of Core Self-Evaluation (CSE) to conduct our research model. This study seeks to elucidate whether the usage of GenAI, specifically in the context of performance compares to GenAI, and then the impact on CSE, which we plan to use in this research, has discernible effects on how employees perceive and evaluate their own contributions. In addition, we adapt various reliable scales to assess the constructs in our research model. This research employs surveys and content analysis of questionnaire data to investigate the perceptions of employees in organizations that have introduced GenAI-driven tools for performance appraisal. The objective is to determine whether these tools, by providing real-time feedback, personalized recommendations, and novel evaluation metrics, result in changed self-perceptions and attitudes towards one\u27s work

When Stablecoin is No Longer Stable - A Case Study on the Failure of TerraUSD

Comparing to other price-volatile cryptocurrencies, stablecoins provide a reliable way to store value and make transactions, and thus are more suitable for daily-life usage and investment risk control. However, there remains a lack of understanding of how stablecoin can gain success. This may lead to the introduction of stablecoins based on uninformed proposals, which may eventually fail. In turn, owners of these stablecoins may suffer from significant financial losses. Using theories of Information Systems and digital startups failures as the theoretical foundation, our study identified four underlying factors (lack of scarcity, lack of fiat reserve backup, decentralization, and failure of value creation) and two triggers (massive selling by major investors and algorithm malfunction) behind the collapse of a stablecoin, based on the case of TerraUSD’s collapse. Our findings provide implications for stablecoins issuers to prioritize maintenance and foster user adoption, thus increasing the likelihood of success of stablecoins

National FinTech Ecosystem Leapfrogging – Case Study of Russia

The recent rapid development of FinTech and related spheres has fundamentally changed various economic sectors into increasingly innovative, varied, and customer-focused. Some countries have gradually arrived at a national-level FinTech ecosystem that can cater to different stakeholders’ needs and leapfrogged those of other countries. And yet, not all countries can successfully leapfrog others in their FinTech ecosystem development. This paper focuses on the case of Russia and its successful development of the FinTech ecosystem bringing valuable insights for promoting growth, access, and innovation in financial ecosystems worldwide, benefiting society and the economy. Our preliminary findings suggested some of the triggers of such leapfrogging, as well as the involved stakeholders and their actions