E-Commerce Commons^™

2025, 2(21)

Journal of Marketing and Consumer Behaviour in Emerging Markets

Full Issue 2025, 2(21)

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 …

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 …

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 …

From Backlash To Brand Loyalty: How Self-Congruity And Generation Shape Consumer Intentions After A Failed Influencer Campaign, Dexter L. Purnell, Kimberly V. Legocki, Steven R. Barnes, Jessica Chapman

Atlantic Marketing Journal

This study examines consumer responses to corporate social advocacy (CSA) surrounding Bud Light’s partnership with transgender influencer Dylan Mulvaney. We fielded a cross-sectional survey of U.S. beer drinkers (N = 386) measuring actual and ideal self-congruity, generational cohort, and purchase intention. Using PROCESS Model 4 with bootstrap confidence intervals, we tested whether self-congruity mediates the relationship between generation and purchase intention. Self-congruity strongly predicted purchase intention, and indirect effects of generation via both actual and ideal self-congruity were statistically significant. Conditional (contrast-specific) indirect effects were observed only for Gen X, indicating cohort-specific pathways from CSA to purchase intention through identity …

Omnichannel Retailing: An Exploratory Study Of Limiting The Customer Journey In A Digital-First Context, Terence L. Holmes, Edward C. Brewer, Elizabeth Patterson

Atlantic Marketing Journal

A recent retail trend is the rise of “digital-first” firms, where their merchandise is sold primarily via online efforts. In this exploratory study we describe our investigation of the customer journey for a digital-first seller of cosmetics and personal care products. We collected qualitative and quantitative data from a customer survey and follow-up interviews. Results indicate that personal connections and actual product use are the two most important touchpoints customers consider in first discovering the seller and then building a relationship with the brand. We describe practical applications of the findings and suggest ideas for future research.

Podcast Advertising And Its Role In Higher Education Marketing, Mark D. Cistulli, Jason L. Snyder

Atlantic Marketing Journal

Podcast advertising has become an important component in marketing campaigns for organizations to reach their target audiences. With the explosion of popularity of podcasts, so too does the opportunity for marketers to promote their products and services. In this study, we are focusing on the impact of a graduate program ad on attitudes and behavioral intentions associated with the university in the ad. Participants were exposed to part of a podcast with the ad embedded mid-roll and then responded to a survey about their evaluation of the ad and subsequent intentions to consider attending graduate school at the university advertised. …

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 …

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 …

A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities, Thira Chavarnakul, Li Da Xu, Zhuming Bi, Achyut Shankar, Gaurav Dhiman, Wattana Viriyasitavat, Danupol Hoonsopon

Information Technology & Decision Sciences Faculty Publications

In an era marked by relentless technological shifts and market volatility, digital transformation (DT) alone is insufficient. Organizations must develop Resilient Digital Transformation (RDT)—the organizational capabilities required to sustain DT over a medium-term horizon—to navigate these challenges effectively. This study primarily aims to propose a guideline for fostering RDT. Drawing on the PRISMA guidelines and a systematic review of 77 peer-reviewed papers, this study identifies and synthesizes key targets and drivers across three core pillars: Technology, Organization, and External Environment. These elements collectively foster organizational resilience. Specifically, this study highlights how adaptability, innovation, and scalability form the technological underpinnings of …

The Past, Present, And Future Of Adaptive Selling: Toward An Integrative Framework, Nawar N. Chaker, Rhett T. Epler, Gabriel Moreno, Dana Amiri, Elizabeth G. Mcdougal

Marketing Faculty Publications

Adaptive selling represents a notable and influential concept in the marketing literature. Despite being discussed in scholarly research and managerial practice for over forty years and mixed findings about its impact, a comprehensive understanding of the construct of adaptive selling remains missing. To remedy this critical knowledge gap, we conduct a comprehensive review of 188 articles across twenty-seven journals. We combine three approaches in our survey of the literature, including a systematic review, a main path analysis, and a bibliographic analysis. Together, this three-prong review offers profound insights into the state of adaptive selling research by (1) mapping the key …

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.

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 …

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 …

Posting About Goals On Social Media: The Unexpected Effect Of Posting Goal-Intention Photos Rather Than Goal-Pursuit Photos On Goal Attainment, Kelly Eunjung Yoon, Cornelia Pechmann

Atlantic Marketing Journal

Can posting photos online help individuals achieve their goals? Past research has generally found that posting about goals on social media increases motivation to achieve those goals. However, little is known about the consequences of posting different types of goal-related content. This research uses real-world Instagram data to test the effects of posting photos about goal pursuit (i.e., goal enactment behaviors) versus goal intention (i.e., goal planning or setting) on goal attainment. Our findings indicate a positive and significant relationship between posting goal-pursuit photos and goal attainment. Conversely, posting goal-intention photos yields no measurable effect. This finding challenges the generalized …

Toward Charity Engagement Of Generation Z: Do Gender And Economic Standing Of Household Matter?, Sylwia Badowska, Liwia Delińska

Journal of Marketing and Consumer Behaviour in Emerging Markets

In Poland, non-profit organizations face challenges in attracting and engaging donors, especially of younger ages, in charity. The study explores factors such as gender and household economic standing of Generation Z’s representatives in order to determine charity engagement in the wake of the frequency, value, and channels of financial donations among Generation Z. A survey (CAWI method) was conducted among young people under 25 in Poland. Descriptive statistics and statistical tests were performed to analyse the primary data.

Outcomes show that young donors mostly provide financial aid donations once a year and both online platforms and traditional collection methods were …

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 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.