Business Commons^™

Affordance-Based Information Technology Sensemaking [Abits], Arvin Mesgari, Chitu Okoli, Ana Ortiz De Guinea

Information Systems and Business Analytics Faculty Works

Information Technology (IT) use gives rise to a wide variety of outcomes. This stems in part from the divergent ways in which individuals understand technology. While the sensemaking literature unveils how meaning is attached to organizational phenomena via cognitive and social processes, it overlooks the discovery dimension of making sense, that is detecting the role of the IT artifact in bringing about outcomes. In other words, there is a need to explain how the IT artifact contributes to technology sensemaking and its outcomes. This paper presents a framework that enables scholars to analyze the IT artifact’s role in technology sensemaking …

The Moderating Role Of Hospital Staffing Levels On The Effectiveness Of Clinical Decision Support Systems In Mitigating Patient Readmission Rates, Youyou Tao, Arindam Brahma, Kevin Baldwin, Rui Sundrup, Dezhi Wu

Information Systems and Business Analytics Faculty Works

Healthcare staffing shortages and high 30-day readmission rates are pressing challenges in today's healthcare systems. While extensive studies have explored the positive impact of Health Information Technology (HIT) on health outcomes, the effect of hospital staffing on HIT effectiveness, particularly Clinical Decision Support Systems (CDSS), is underexplored. Therefore, we examine whether physician and resident staffing levels moderate the impact of CDSS on 30-day readmission rates. After analyzing data from 1,605 hospitals in the United States from 2017 and 2018, we found that the effect of CDSS implementation in reducing 30-day readmission rates is more pronounced in hospitals with lower bed-to-physician …

Trends In U.S. Health Care Bankruptcy: A 10-Year Retrospective, Amy Yarbrough Landry, Philip Cendoma, Kristine R. Hearld, J'Aime C. Jennings, Robert J. Landry Iii

Research, Publications & Creative Work

Background: In recent years, the United States (U.S.) healthcare system has faced financial challenges resulting from changing reimbursement models, fluctuations in sources of investment, and a global pandemic. These factors have resulted in an influx of bankruptcy filings among healthcare organizations. This study explores the number of healthcare organizations filing for bankruptcy as means to reorganize (Chapter 11) or liquidate assets (Chapter 7), and examines whether organizational size, defined by assets and liabilities, influences the success of reorganization. The research on bankruptcy among healthcare organizations has been limited to larger businesses including hospitals and nursing homes. This study investigates all …

Unconventional Philosophies And Practices: Vietnamese Family Firm Performance In Multiple Countries, Amon Simba, Mai Thi Thanh Thai, Aymen Ammari, James V. Koch, Paul Jones

Economics Faculty Publications

The diversity of business philosophies and practices across family firms suggests their performance is influenced by factors that can be hard to isolate or understand. Based on 215 observations of Vietnamese firms operating in Asia, Australia, Europe, and North America, we use fuzzy-set qualitative comparative analysis techniques to discern the configurational relationships underlying their performance pathways. Of the 64 possible configurations, three pathways with a high consistency (95 percent) for high performance are distinguishable. These three pathways are characterized by varying degrees of family labor involvement, social network-based labor sourcing, and capital contributions from partners. They reveal how cultural factors, …

What Role Do Finance Ministers Play In Political Business Cycles? Evidence-Based On A New African Dataset, Christine Olivia Strong

Economics Faculty Publications

This study investigates how the personal characteristics of finance ministers influence political budget cycles in Africa. Using a new dataset covering 300 finance ministers across 23 countries from 1980 to 2020, we find that political budget cycles primarily take the form of increased government consumption during election years. Ministers with prior central banking experience are less likely to amplify spending in election years, effectively curbing political budget cycles. These results remain consistent after accounting for institutional quality, ministerial tenure, and other confounding factors. The findings contribute to the literature by showing that the appointment of finance ministers in African countries …

Ethnic Politics And Fiscal Dominance: Implications For Currency Union Formation In Sub-Saharan Africa, Benjamin D. Keen, Christine O. Strong

Economics Faculty Publications

Numerous currency unions have been proposed in Africa over the past 50 years, but none have succeeded. This paper asserts ethnic favouritism is a crucial yet often overlooked feature that strongly influences an African government’s willingness to join a currency union. We use a Barro and Gordon (1983) style model that incorporates fiscal dominance, political business cycles and ethnic favouritism to assess the benefits and costs to African households and governments of joining a currency union. Our results show that ethnic alignment between the head of state and central bank governor amplifies fiscal dominance, which reduces an African government’s desire …

The Space Rescue Professional: Operationalizing Guardians For The Future, Benjamin Johnis, Robert Bettinger, James Dean

Faculty Publications

The escalating competition in space exploration demands a dedicated space rescue capability. This article argues for the establishment of a space rescue professional (SRP) career field within the Department of Defense and the US Space Force. By harnessing existing US Air Force combat rescue expertise and partnering with the National Aeronautics and Space Administration, the Space Force can rapidly develop a robust SRP program with the warrant officer corps as its backbone. This article addresses a critical gap in national space policy to outline a cost-effective dual-service training pipeline and SRP operational roles. Such an investment safeguards astronauts, bolsters US …

Insights In Adaptation: Examining Self-Reflection Strategies Of Job Seekers With Visual Impairments In India, Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Significant changes in the digital employment landscape, driven by rapid technological advancements and the COVID-19 pandemic, have introduced new opportunities for blind and visually impaired (BVI) individuals in developing countries like India. However, a significant portion of the BVI population in India remains unemployed despite extensive accessibility advancements and job search interventions. Therefore, we conducted semi-structured interviews with 20 BVI persons who were either pursuing or recently sought employment in the digital industry. Our findings reveal that despite gaining digital literacy and extensive training, BVI individuals struggle to meet industry requirements for fulfilling job openings. While they engage in self-reflection …

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 …

Quickque: Enabling Quick Access To Information In User Reviews For Screen Reader Users, Mohan Sunkara, Akshay Kolgar Nayak, Sandeep Kalari, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Efficiently perusing online customer reviews is presently challenging for blind users, who rely on a screen reader that supports predominantly one-dimensional narration of content via keyboard shortcuts. To address this, with restaurant reviews as seminal case study, we developed QuickCue, a browser extension prototype that enables screen reader users to quickly obtain the positives and negatives regarding different aspects of a restaurant (e.g., food quality, hygiene, ambiance), without having to sift through numerous reviews containing redundant information. At its core, QuickCue utilizes a large language model to perform aspect and sentiment-based joint classification of reviews to group them based on …

A Geopolitical Economy Analysis Of China And India’S Approaches To Transnational Data Governance, Yujia He, Ka Zeng

Patterson School of Diplomacy and International Commerce Faculty Publications

Recent literature on the behavior of rising powers in digital trade and data governance highlights their discourses of data sovereignty and desire to preserve domestic policy autonomy. This article contributes to the literature by employing a political economy lens that shifts the focus from the nation-state/inter-state framework towards the dynamics of state–capital relations, allowing for a more historical and contextual understanding of the geopolitics of data governance in emerging economies. Using China and India—two of the largest emerging economies—as comparative cases, and drawing on secondary data from government documents and other sources, the article argues that the interplay between the …

Hitting The Jackpot: What Drives Casino Hotel Stock Returns’ Predictability?, Thach Pham, Deepa Bannigidadmath, Edmund Goh, Anna Golab

Research outputs 2022 to 2026

Forecasting casino hotel stock prices are strategically important to key stakeholders making investment decisions. However, there is a paucity of studies that have examined the impact of macro-economic variables, sector-specific variables and firm-specific variables on casino stock returns. This research fills a research gap by examining the predictability of Australian casino hotel stock returns. The forecasting of casino hotel stock prices was modelled using econometric panel predictive regression analysis through the efficacy of 26 predictors comprising macroeconomic variables, sector-specific variables, and firm-specific variables as predictors. All eight casinos listed on the Australia Stock Exchange (ASX) were included in our sample. …

Industry 4.0 Digital Transformation And Opportunities For Supply Chain Resilience: A Comprehensive Review And A Strategic Roadmap, Morteza Ghobakhloo, Mohammad Iranmanesh, Behzad Foroughi, Ming Lang Tseng, Davoud Nikbin, Ahmad A.A. Khanfar

Research outputs 2022 to 2026

Despite interest in opportunities that Industry 4.0 offers for Supply Chain Resilience (SCR), little is known about the underlying mechanisms for such contributions. The study develops a roadmap that explains how supply chains can capitalize on Industry 4.0 SCR functions. The study conducted a content-centric literature review and identified 16 functions through which Industry 4.0 enhances SCR. Results reveal that the Industry 4.0 SCR functions identified are highly interrelated, and supply chain members should align their digitalization strategies with the sequence in which Industry 4.0 delivers these functions. Industry 4.0 contribution to SCR first involves delivering data-centric functions such as …

One Of The Magnificent Seven Is Coming: Amazon Arrives In East Texas, Manuel Reyes-Loya, Cecilia Cuellar

Hibbs Brief

In this issue of the Hibbs Brief, the arrival of Amazon in East Texas is examined, detailing the company's plans to build a new delivery station in Tyler and estimating its potential economic impact on the region. The brief explains how Amazon's logistics infrastructure works and highlights that the new facility — a roughly 140,000‑square‑foot delivery station — is expected to generate more than 100 full‑time jobs, several hundred part‑time positions, and significant construction‑related employment and economic activity, while broadening the local tax base. By embedding Amazon's presence in the East Texas economy, the analysis shows promising prospects for job …

Positive Reinforcement In Leadership, Jen Lee Williams

M.S. in Leadership

This project examined whether leaders’ use of positive reinforcement
improves team retention, satisfaction, and performance across Generation
X, Millennials, and Generation Z. Jen Williams selected this topic due to the
rising turnover challenges and lack of consistent reinforcement training in
leadership practice. Using mixed-methods design, the study combined a
quantitative survey of 13 working professionals with a qualitative interview
from a Generation X leader participant. Results showed that over 92% of
the participants felt motivated by recognition, and 72% linked
reinforcement to increased satisfaction and desire to stay with their
organization. Generational differences appeared in frequency, authenticity,
and emotional sensitivity …

The Interplay Of Morality, Emotional Labor, And Customer Injustice: How Salesperson Experiences Shape Job Satisfaction, Omar S. Itani, Colin B. Gabler, Ashish Kalra, Khashayar Afshar Bakeshloo (Kash), Raj Agnihotri

Marketing Faculty Publications

Despite the significant role emotions play in business-to-business (B2B) sales transactions, the impact of salesperson emotional labor on well-being, specifically job satisfaction, has garnered limited attention. To address this gap, the present study examines the relationships among salesperson moral identity, emotional labor strategies, customer injustice, and job satisfaction. An analysis of responses from B2B salespeople reveals that moral identity internalization is positively related to deep acting and negatively to surface acting, whereas moral identity symbolization is positively related to both deep and surface acting. Furthermore, surface acting has a stronger unfavorable effect on customer injustice compared to deep acting, which …

Vice Capital, Andrew K. Jennings, Kimberly D. Krawiec

Faculty Articles

Academic and market interest in environmental, social, and governance (ESG) investing has grown markedly in recent years. Although less prominent, a substantial literature also explores whether “sin pays” in the public capital markets. This literature’s underlying theory is that social norms discourage the funding of businesses that promote vice. According to this theory, some investors—particularly institutions sensitive to social norms, such as pension funds and foundations—will shun vice investments. A consequence of this aversion is a “vice premium” for those investors who will invest in such companies. Largely unexplored, however, is what industries or business models qualify as “vice,” how …

Criminal Investors, Andrew K. Jennings

Faculty Articles

This Article reassesses the culpability of those who invest in law-breaking firms. Prosecutors currently treat investors as victims of corporate wrongdoing rather than as actors who might bear responsibility for it. This Article observes, though, that investment can facilitate, and even cause, illicit corporate activity. When investors intentionally contribute to those effects, substantive criminal law imposes liability on them just the same as it does on accomplices, conspirators, or principals in other contexts. Despite this formal parity, however, investor criminal liability is more a theoretical proposition than a practical reality.

This Article questions that status quo by asking whether and …

Moral Panic Or Public Health Crisis? Lessons From Drugs And Gambling For “Addictive” Design, Matthew B. Lawrence, Haomin (Kevin) Yan

Faculty Articles

In her important book, Unwired: Gaining Control Over Addictive Technologies, Gaia Bernstein illustrates the value of a comparative approach, drawing lessons from fights around the regulation of tobacco and ultra-processed food for the regulation of social media. Building on Bernstein’s work, this symposium contribution aims to draw additional insight from experience with drug and gambling regulation for the regulation of social media, video games, AI, and other potentially-addictive technologies.

Specifically, after introducing Bernstein’s book and the foundation it lays, we draw six lessons from the study of psychoactive drugs and gambling. As we elaborate below: Lesson one is that …

Multimodal Wearable Intelligence For Dementia Care In Healthcare 4.0: A Survey, Po Yang, Gaoshan Bi, Jun Qi, Xulong Wang, Yun Yang, Li Da Xu

Information Technology & Decision Sciences Faculty Publications

As a new revolution of Ubiquitous Computing and Internet of Things, multimodal wearable intelligence technique is rapidly becoming a new research topic in both academic and industrial fields. Owning to the rapid spread of wearable and mobile devices, this technique is evolving healthcare from traditional hub-based systems to more personalised healthcare systems. This trend is well-aligned with recent "Healthcare 4.0" which is a continuous process of transforming the entire healthcare value chain to be preventive, precise, predictive and personalised, with significant benefits to elder care. But empowering the utility of multimodal wearable intelligence technique for elderly care like people with …

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 …

A Two-Phase Learning Approach Integrated With Multi-Source Features For Cloud Service Qos Prediction, Fuzan Chen, Jing Yang, Haiyang Feng, Harris Wu, Minqiang Li

Information Technology & Decision Sciences Faculty Publications

Quality of Service (QoS) is a key factor for users when choosing cloud services. However, QoS values are often unavailable due to insufficient user evaluations or provider data. To address this, we propose a new QoS prediction method, Multi-source Feature Two-phase Learning (MFTL). MFTL incorporates multiple sources of features influencing QoS and uses a two-phase learning framework to make effective use of these features. In the first phase, coarse-grained learning is performed using a neighborhood-integrated matrix factorization model, along with a strategy for selecting high-quality neighbors for target users. In the second phase, reinforcement learning through a deep neural network …

A Spoofing Speech Detection Method Combining Multi-Scale Features And Cross-Layer Identification, Hongyan Yuan, Linjuan Zhang, Baoning Niu, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

Pre-trained self-supervised speech models can extract general acoustic features, providing feature inputs for various speech downstream tasks. Spoofing speech detection, which is a pressing issue in the age of generative AI, requires both global information and local features of speech. The multi-layer transformer structure in pre-trained speech models can effectively capture temporal information and global context in speech, but there is still room for improvement in handling local features. To address this issue, a speech spoofing detection method that integrates multi-scale features and cross-layer information is proposed. The method introduces a multi-scale feature adapter (MSFA), which enhances the model’s ability …

Optimal Control Of Queueing Systems With Error-Prone Servers, Junqi Hu, Sigrún Andradóttir, Hayriye Ayhan

Information Technology & Decision Sciences Faculty Publications

Consider a Markovian tandem line with finite intermediate buffers and an equal number of stations and servers. Servers are flexible but noncollaborative, so that a job can be processed by at most one server at any time. When a job is being processed, it can be damaged and wasted depending on the proficiency of the server. We identify the dynamic server assignment policy that maximizes the long-run average throughput of the system with two stations and two servers. We find that the optimal policy is either a single or a double threshold policy on the number of jobs in the …

Investing In The Age Of Generative Ai: A Gpt-Based Sentiment Analysis Approach, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

Generative AI, which ushers a new age of AI, comes with huge economic potential. To capitalize the AI boom, investors are interested in trading AI stocks. AI chatbots, which can identify and classify the sentiment from financial news, can be leveraged for investment. So, this paper proposes a GPT-based sentiment analysis approach for trading AI stocks. Also, natural experiments are conducted to evaluate its effectiveness. Initial results show that the approach achieves a good rate of return.

A Comparison Of Service Needs For Face-To-Face To Online Programs, Ali Ardalan, Roya K. Ardalan, G. Steven Rhiel

Information Technology & Decision Sciences Faculty Publications

Higher education institutions strive to gain a competitive advantage over similar programs offered by other institutions. A criterion for comparing programs is the quality of service. The definition of quality from the customer's view is "fitness for use," which incorporates the value generated by the product. Each learner may evaluate programs differently from other learners. It is impossible to develop a unique standard for program quality that is defined by a specific set of factors and specific level for each of these factors. This study presents an extensive set of factors that may affect learners' satisfaction. Higher education administrators should …

The Tiktok Miracle: Cracking The Code Of Tiktok’S Platform Strategy, Ying Hou, Yanli Zhang, Yiying Zhu

Department of Management Faculty Scholarship and Creative Works

This study decodes the winning platform strategies behind TikTok's rapid rise in the social media ecosystem, aiming to provide generalizable insights for companies in the platform economy. It explores how TikTok overcame the formidable network effects of dominant platforms like Meta and identifies the platform strategies that fueled its unprecedented growth. The study identified six key platform strategies driving TikTok's success: 1) Create a fun and immersive user experience; 2) Build network effects by supporting creators; 3) Harness human psychology in AI algorithms; 4) Foster viral dissemination via social Interactions; 5) Transform its weaknesses into strengths in competition; and 6) …

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 …

5g-Practical Byzantine Fault Tolerance: An Improved Pbft Consensus Algorithm For The 5g Network, Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects the efficiency and security of the whole system. Practical Byzantine Fault Tolerance (PBFT) plays a crucial role in blockchain consensus algorithms by providing a robust mechanism to achieve fault-tolerant and deterministic consensus in distributed networks. With the development of 5G network technology, its features of high bandwidth, low latency, and high reliability provide a new approach for consensus algorithm optimization. To take advantage of the features of the 5G network, this paper proposes 5G-PBFT, which is an improved practical Byzantine fault-tolerant …

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 …