E-Commerce Commons^™

The Impact Of Chat Gpt's Quality Factors On~Perceived Usefulness, Perceived Enjoyment, And~Continuous Usage Intention Using The Is Success Model, Mun Ki Kim, Seon Young Jhee, Sang-Lin Han

Asia Marketing Journal

Due to the rapid diffusion of ChatGPT based on Generative AI, innovative changes are being made in artificial intelligence technology and its use. In fact, ChatGPT is being actively applied by being fused to various industries along with our daily lives. Accordingly, this study aims to examine the correlation between the quality factors, perceived usefulness, perceived enjoyment, and continuous usage intention of ChatGPT technology using the IS success model. For this study, a survey was conducted on 225 experienced people who have used ChatGPT technology. As a result of the survey analysis, it was confirmed that among the quality factors …

Balance Or Highlight? The Impact Of Power On Consumer Choices For Joint Consumption, Chaeyeong Kim

Asia Marketing Journal

Consumers often make decisions on behalf of the self and others, such as family, friends, or colleagues, when choosing products to jointly consume. Postulating that power—a central element of social dynamics—shapes reliance on internal versus external information, the current research explores its effect on joint consumption choices. Across three studies, I find that low-power individuals balance self and others’ preferences, whereas high-power individuals are likely to highlight their preferences (H1). In addition, I provide evidence for decision-making strategy (i.e., reliance on reasons vs. feelings) as the key mechanism underpinning the relationship between power and joint consumption choices (H2). Finally, I …

Effects Of The Preannouncement Of Donation Expenditure On The Evaluation Of Charitable Organizations And Overhead Aversion, Kwanho Suk, Triza Mudita

Asia Marketing Journal

Charitable organizations use donated funds for program costs to support the cause and overhead costs to cover the charity's general operation and fundraising. This research investigates the influence of preannouncement of donation expenditure on attitudes toward charity and overhead aversion (i.e., negative response to overhead). Preannouncement of donation expenditure involves the disclosure of how donor contributions will be allocated to the program and overhead costs. The results of two empirical studies show that preannouncement positively influences attitudes toward charity and mitigates overhead aversion. Study 1 indicates that the preannouncement of donation expenditure enhances perceived donation impact, leading to a positive …

Grieving & Swiping: Online Dating As Consumers' Post-Breakup Resolution, Zeynep Ozdamar Ertekin, Salih Kural, İrem Taştan

Markets, Globalization & Development Review

This study explores the underlying motivations of consumers’ usage of online dating applications after the breakup of romantic relationships. The experiences of young-adult consumers who went through post-breakup grief are investigated through in-depth interviews. Findings resulted in twelve categories of motivations that participating consumers had regarding their usage of dating apps, in relation to managing the grief after breakup. Motivations are grouped under the categories of coping, updating, and desiring. Moreover, findings also demonstrated diverging pathways in using dating apps for emotional resolution. The study contributes to our understanding of dating app usage by highlighting important insights from consumers who …

Toward An Ecosystem Of Non-Fungible Tokens From Mapping Public Opinions On Social Media, Yunfei Xing, Justin Z. Zhang, Yuming He, Yueqi Li

Information Technology & Decision Sciences Faculty Publications

As blockchain technology advances, non-fungible tokens (NFTs) are emerging as unconventional assets in the commercial market. However, it is necessary to establish a comprehensive NFT ecosystem that addresses the prevailing public concerns. This study aimed to bridge this gap by analyzing user-generated content on prominent social media platforms such as Twitter, Weibo, and Reddit. Employing text clustering and topic modeling techniques, such as Latent Dirichlet Allocation, we constructed an analytical framework to delve into the intricacies of the NFT ecosystem. Our investigation revealed seven distinct topics from Twitter and Reddit data and eight topics from Weibo data. Weibo users predominantly …

2025, 2(21)

Journal of Marketing and Consumer Behaviour in Emerging Markets

Full Issue 2025, 2(21)

Comparing Funders' Altruism Versus Self-Interest: Leveraging The Context Of Crisis, Dan Liu, Guangzhi Shang, Cynthia Fan Yang

Journal of International Technology and Information Management

While reward-based crowdfunding has widespread popularity, the motivations driving funders, balancing self-interest and altruism, have remained puzzling. Prior research has been constrained by examination methods and produced mixed findings regarding the weight of altruism versus self-interest among funders. Our study takes a fresh perspective, delving into funder behavior amid a major crisis—the tumultuous backdrop of the COVID-19 pandemic. Our findings reveal that funders not only display an increased willingness to contribute but also significantly amplify their contributions, particularly to projects in crisis-affected regions, irrespective of external incentives like rewards. This underscores the prevalence of altruistic motives among funders in challenging …

Adapting Online Customer Reviews For Blind Users: A Case Study Of Restaurant Reviews, Mohan Sunkara, Akshay Kolgar Nayak, Sandeep Kalari, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Online reviews have become an integral aspect of consumer decision-making on e-commerce websites, especially in the restaurant industry. Unlike sighted users who can visually skim through the reviews, perusing reviews remains challenging for blind users, who rely on screen reader assistive technology that supports predominantly one-dimensional narration of content via keyboard shortcuts. In an interview study, we uncovered numerous pain points of blind screen reader users with online restaurant reviews, notably, the listening fatigue and frustration after going through only the first few reviews. To address these issues, we developed QuickCue assistive tool that performs aspect-focused sentiment-driven summarization to reorganize …

The Impact Of Social Media Influencers On Contemporary Art Trends - A Comprehensive Analysis, Babette Meng

MA Theses

Social media have revolutionized the contemporary art market, how artists promote their work, how collectors initially find pieces, and how art is valued and sold. This study investigates the effects of social media on the art industry using a mixed methods approach consisting of qualitative case studies enabled by thematic analysis and quantitative survey with statistical correlation analysis. Key findings from this paper show that with social media, the artist's visibility is vastly increased, direct-to-collector sales are promoted, and dependence on traditional galleries is reduced. The study considers the position of art influencers in the process of art promotion, which …

Artcatalyze Investments: Empowering Art Investment Innovation, Wan Yu Hung

MA Projects

The Art Investment Fund represents an ambitious fusion of art expertise with state-of-the-art Web3 and cryptocurrency technology, poised to revolutionize the landscape of art investment. At its core, the Fund is dedicated to establishing a secure and transparent art investment trading platform that caters to the needs of artists and collectors alike. Anchored by a team of seasoned art advisors, the Fund offers personalized guidance tailored to each client's unique financial goals, ensuring that investment decisions are informed and strategic. Additionally, a cadre of skilled art restorers plays a crucial role in preserving the integrity and enhancing the long-term appreciation …

Last-Minute Coordination: Adapting To Demand To Support Last-Mile Operations, Kedong Chen, Hung-Chung Su, Kevin Linderman, William Li

Information Technology & Decision Sciences Faculty Publications

In the highly competitive e-commerce industry, customer-facing warehouses are crucial as the “order penetration points” for e-commerce last-mile operations. This research examines how warehouses use last-minute coordination, an unstructured mechanism, to ensure sufficient inventory at the order penetration points. Previous research has focused on structured mechanisms like contracts and inventory management systems to enhance warehouse performance. However, these mechanisms can be ineffective when faced with unforeseen local contingencies. To adjust inventory and adapt to changes in supply and/or demand, warehouses need to engage in unstructured, last-minute coordination with other warehouses. Using coordination and loose coupling theories, we find that coordinating …

How Personalized Chatbots Win Customer Loyalty, Jaeha Lee, Dooyoung Choi

Educational Leadership & Workforce Development Faculty Publications

The study applies affordance theory to investigate how perceived personalization influences loyalty through cognitive, affective, and social drivers. Data was collected from 220 participants who watched a video of a chatbot interaction and then assessed their loyalty intentions. While all paths were significant between personalization and consumer’s willingness to stay, the effects of personalization on consumer’s willingness to recommend the retailers to others were slightly different. If companies aim to capitalize on word-of-mouth marketing, it will be better to prioritize cognitive and affective qualities of chatbot over social qualities, because the latter did not contribute significantly to word-of-mouth intentions about …

Predicting Crises On The African Frontier Stock Markets With Investor Sentiment Indicators: A Machine Learning Approach, David Korsah, Lord Mensah

Journal of International Technology and Information Management

This study examined the predictive ability of machine learning algorithms in identifying crises within African stock markets. The study employed seven distinct machine-learning models, analyzing historical stock prices from eight stock markets, three major sentiment indicators, and the exchange rates of local currencies against the US dollar, with each data spanning from May 1, 2007, to April 1, 2023. Extreme Gradient Boosting (XGBoost) emerged as the most effective algorithm for predicting crises. Historical stock prices and exchange rates were identified as the most critical features for prediction. On the sentiment side, investors’ perceptions of potential volatility on the S&P 500, …

Preventive Health Care Information Seeking Behaviors Among Baby Boomers In Taiwan, Alexander N. Chen, Michael J. Rubach, Tracy Suter, Hsin Ke Lu, Mark E. Mcmurtrey

Journal of International Technology and Information Management

Preventive health care is widely acknowledged as one of the most effective ways to reduce medical costs and enhance people's health. Preventive health care information (PHCI) is a crucial component. This study examines the PHCI-seeking behaviors of Taiwanese baby boomers. The study found some support for the idea that the preferred media used influenced the likelihood of Information seeking behavior. People with good health conditions were found to be more likely to seek PHCI, while people with greater health care needs sought out PHCI less frequently. The study examined social influences, which were found to be important. Three different types …

Pedagogy In The Age Of Ai: Exploring Generative Ai For Higher Education, Alison Munsch Phd

Journal of International Technology and Information Management

Generative Artificial Intelligence (AI) presents transformative opportunities for higher education, enabling personalized learning, enhanced student engagement, and efficient pedagogical practices. This tutorial-style article guides educators in integrating generative AI into their classrooms through hands-on activities, practical strategies, and reflective exercises. It explores the capabilities of AI tools such as ChatGPT, their applications across disciplines, and the ethical considerations for their use. By cultivating critical thinking and fostering student readiness for AI-driven futures, this article underscores the transformative potential of generative AI in higher education with an emphasis on the academic areas of business analytics, information systems, and computer science.

Understanding The Determinants Of Blockchain Adoption: An Empirical Study, Amarpreet Kohli, Nihar Kumthekar, Piyush Shah, Rebecca Jauch

Journal of International Technology and Information Management

Blockchain technology (BT) has the potential to enhance security and robustness of transactions through a distributed ledger bookkeeping process. This study employs technology-organization-environment (TOE) framework and threat-rigidity theory (TRT) to examine whether perceived disruption caused by COVID-19 pandemic significantly impacted the adoption of BT, and inclination to adopt BT in the US. The COVID-19 pandemic provided a unique backdrop, as it affected businesses across all industries, sizes, and geographies. Results show a non-significant effect of perceived pandemic disruption on the current stage of BT adoption and intention to adopt BT. However, disruption readiness positively influences the current stage of BT …

Predicting Global Healthcare Supply Chain Delays: A Machine Learning Approach Leveraging Country-Level Logistics Metrics, Jeevan Sai Gali, Nima Molavi, Sepideh Alavi

Journal of International Technology and Information Management

In global healthcare logistics, ensuring the timely delivery of medical commodities is critical, particularly in low- and middle-income countries characterized by infrastructural limitations and operational uncertainties. This research introduces an advanced, data-driven predictive framework designed to forecast delivery delays by synthesizing granular, internal shipment-level data from the USAID Global Health Supply Chain Program (GHSC-PSM) with external country-level logistics capabilities indicators derived from the World Bank’s Logistics Performance Index (LPI). Rather than relying on retrospective trend analyses, this study employs machine learning algorithms such as Random Forest, XGBoost, Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) to detect …

The Effect Of Distance On Persuasion In International E-Mail Marketing Campaigns, Peter Magnusson, Stanford A. Westjohn

Marketing Faculty Publications

We investigate the relative effectiveness of different persuasive appeals in international e-mail customer acquisition marketing campaigns. We conducted three separate experiments, including two lab experiments and one field experiment, to examine the impact of different persuasive appeals on customers. Our research specifically focuses on consensus and authority-focused persuasive appeals. Our findings consistently show that when there is a small cultural distance between the seller and potential buyer, consensus appeals are more effective. On the other hand, when there is a large cultural distance, authority appeals are more effective.

Surviving And Thriving In The Hybrid Cloud: A Review Of The Current Cloud Computing Landscape, Peter Munsch, Alison Munsch

Journal of International Technology and Information Management

Background and Purpose

Both academic and industry institutions have increasingly migrated essential services to public cloud providers (e.g., Microsoft, AWS, Google) with mixed outcomes. Some industry leaders attempted to fully replace their on-premises data centers with public cloud services, a move not advised without thorough performance and cost analyses (Potel, 2023). Despite some organizations pulling back from the “Cloud First” strategy, the public cloud services market continued to grow, with revenue increasing by approximately 20% year-over-year since 2020 and surpassing half a trillion dollars in 2022 (IDC Worldwide Semiannual Public Cloud Services Tracker, 2H 2022). Cloud technologists suggested that hybrid …

Service Guarantee Decision Of Online Service Providers And Market Implications, Aijun Lu, Fuzan Chen, Harris Wu

Information Technology & Decision Sciences Faculty Publications

Online services face quality uncertainties. To address user concerns, Online Service Providers (OSPs) sometimes provide service guarantees, compensating users if quality falls below a predefined threshold. This paper analyzes how OSPs use service guarantees to navigate market competition and enhance revenue through game theory and queuing theory models. Key findings include the following: offering guarantees enable OSPs to increase prices; in monopolistic markets, guarantees are offered only if the service guarantee strength is sufficient, whereas in competitive markets, decisions depend on relative strengths and competitor actions. Surprisingly, slower response times under service guarantees can boost profits, especially when resource costs …