Management Information Systems Commons^™

Sentinel Surveillance Of Sars-Cov-2 Rates And Equity Impacts Using Labor And Delivery Patients In Phoenix, Arizona, Caitlyn J. Linehan, Trisalyn Nelson, Celeste V. Bailey, Esma Gel, Dean V. Coonrod, Cheryl K. Roth

Department of Supply Chain Management and Analytics: Faculty and Staff Publications

Proactive management of SARS-CoV-2 requires timely and complete population data to track the evolution of the virus and identify at risk populations. However, many cases are asymptomatic and are not easily discovered through traditional testing efforts. Sentinel surveillance can be used to estimate the prevalence of infections for geographical areas but requires identification of sentinels who are representative of the larger population. Our goal is to evaluate applicability of a population of labor and delivery patients for sentinel surveillance system for monitoring the prevalence of SARS-CoV-2 infection. We tested 5307 labor and delivery patients from two hospitals in Phoenix, Arizona, …

Optimizing Oncological Care: The Influence Of Ai On Insurance Approvals, Brian Cox, Alberto Coustasse

Management Faculty Research

Within the United States, oncological treatments represent a considerable portion of the health care landscape, in terms of both their prevalence and associated costs. The year 2022 witnessed 1.9 million new cancer cases and over 600,000 cancer-related deaths, signaling the pressing need for efficient strategies in managing and addressing challenges in oncology. Studies suggest that using AI-based systems to standardize clinical data submissions and integrate electronic health records using the Fast Healthcare Interoperability Resources data standard can optimize these processes further.

Non-Monotonic Generation Of Knowledge Paths For Context Understanding, Pei-Chi Lo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Knowledge graphs can be used to enhance text search and access by augmenting textual content with relevant background knowledge. While many large knowledge graphs are available, using them to make semantic connections between entities mentioned in the textual content remains to be a difficult task. In this work, we therefore introduce contextual path generation (CPG) which refers to the task of generating knowledge paths, contextual path, to explain the semantic connections between entities mentioned in textual documents with given knowledge graph. To perform CPG task well, one has to address its three challenges, namely path relevance, incomplete knowledge graph, and …

Service Transformation That Will Boost Your Business, Neeta Lachmandas-Sakellariou

Asian Management Insights

Focus on your customers to catapult your company to success. However, leaders must drive a culture change to make it happen.

New Insights On Economic Theories Of The Family Firm, James J. Chrisman, Chevy-Hanqing Fang, Silvio Vismara, Zhenyu Wu

Business and Information Technology Faculty Research & Creative Works

Research attention to family firms has significantly increased in recent years, with a growing application of economic theories such as agency theory and resource-based theory to explain differences between family firms and nonfamily firms and heterogeneity among family firm populations. Despite this progress, the formulation of an economic theory of family business remains notably absent. Merely applying existing economic theories of the firm to the realm of family business is inadequate, as these general theories fail to incorporate the idiosyncratic aspects of family firms, such as the pursuit of socioemotional wealth. This paper seeks to advance economic theories specific to …

Vision Paper: Advancing Of Ai Explainability For The Use Of Chatgpt In Government Agencies: Proposal Of A 4-Step Framework, Hui Shan Lee, Shankararaman, Venky, Eng Lieh Ouh

Research Collection School Of Computing and Information Systems

This paper explores ChatGPT’s potential in aiding government agencies, drawing from a case study based on a government agency in Singapore. While ChatGPT’s text generation abilities offer promise, it brings inherent challenges, including data opacity, potential misinformation, and occasional errors. These issues are especially critical in government decision-making.Public administration’s core values of transparency and accountability magnify these concerns. Ensuring AI alignment with these principles is imperative, given the potential repercussions on policy outcomes and citizen trust.AI explainability plays a central role in ChatGPT’s adoption within government agencies. To address these concerns, we propose strategies like prompt engineering, data governance, and …

Interaction Between Manufacturer's Wholesale Pricing And Retailers’ Price-Matching Guarantees, Arcan Nalca, Gangshu (George) Cai

Information Systems and Analytics

In practice, many retailers employ price-matching guarantees (PMGs), committing to meet the price of an identical product at a competitor's outlet. Despite the profound linkage between retailers and manufacturers, existing literature has predominantly explored retailers' PMGs without contemplating the influence of manufacturers' wholesale pricing strategies. Employing a supply chain model comprising one manufacturer and two retailers, we scrutinize the implications of wholesale pricing—uniform or discriminatory—on supply chain members and consumers when retailers have the option to extend PMGs. Our analysis uncovers that retailers refrain from offering PMGs when the manufacturer is granted the discretion to set discriminatory wholesale prices—even if …

Do Online Consumers Value Corporate Social Responsibility More In Times Of Uncertainty?: Evidence From Online Auctions Conducted During The Onset Of The Covid-19 Pandemic, Andrew S. Manikas, James R. Kroes, E. Shaunn Mattingly, Garrett A. Mcbrayer

IT and Supply Chain Management Faculty Publications and Presentations

The relationships between Corporate Social Responsibility (CSR) and consumer behaviors have been widely explored in the literature. From the consumer standpoint, it has been shown that individuals largely want to be socially responsible actors and that, more than ever, they consider the CSR aspects of products or services when contemplating purchasing decisions. We utilize data from 23,247 online auctions conducted before and during the COVID-19 pandemic to analyze in what way consumer preferences might be influenced by how the CSR characteristics of products are touted in their descriptions. We find that a greater CSR emphasis is positively associated with an …

Visually Analyzing Company-Wide Software Service Dependencies: An Industrial Case Study, Sebastian Baltes, Brian Pfitzmann, Thomas Kowark, Christoph Treude, Fabian Beck

Research Collection School Of Computing and Information Systems

Managing dependencies between software services is a crucial task for any company operating cloud applications. Visualizations can help to understand and maintain these com-plex dependencies. In this paper, we present a force-directed service dependency visualization and filtering tool that has been developed and used within SAP. The tool's use cases include guiding service retirement as well as understanding service deployment landscapes and their relationship to the company's organizational structure. We report how we built and adapted the tool under strict time constraints to address the requirements of our users. We further share insights on how we enabled internal adoption. For …

Influencing Air Force Logisticians' Information Seeking During The Covid-19 Pandemic: The Role Of Organizational Meetings In An Expanded Prism Framework, Matthew D. Roberts, Christopher T. Price, Seong-Jong Joo

Faculty Publications

Purpose: This research aims to understand how organizational workplace meetings surrounding the COVID-19 pandemic impacted logistics Airmen across the United States Air Force and how these meetings impacted their risk seeking behavior on social media.

Design/methodology/approach: This survey research tested an extended Planned Risk Information Risk Seeking Model (PRISM) with organizational meetings as an antecedent to determine if current meetings influenced an Airman's perceived behavioral control, attitude toward seeking, subjective norms, knowledge sufficiency and intention to seek information regarding COVID-19.

Findings: Results of the CFA showed that the expanded PRISM model had good model fit. Additionally, using …

A Segmentation Study Of Digital Pirates And Understanding The Effectiveness Of Targeted Anti-Piracy Communication, Bong-Keun Jeong, Sarah S. Khan, Bomi Kang

Management and Decision Sciences

The objective of this study is to improve the effectiveness of anti-piracy educational strategies by identifying unique digital pirate segments and delivering personalized campaign messages to the target audiences. In the first study, we introduced a segmentation study of digital pirates based on different types of risks involved in pirating activities. We identify four digital pirate segments (anti-pirates, hard-core pirates, performance-sensitive pirates, and finance-sensitive pirates), each demonstrating distinctive characteristics. Further profiling of the segments revealed different risk perceptions regarding gender and piracy experience. In the second study, we conduct an experiment to test the effects of targeted campaign messages for …

An Illustration Of Using Adaptive Data Mining To Develop Strategic Knowledge Bases For Student Retention, Pi-Sheng Deng, Abhijit Chaudhury

Information Systems and Analytics Department Faculty Journal Articles

Technological development has engaged educational institutions in fierce global competition. To be competitive in meeting the changing needs of today’s student population, educational institutions find it imperative to prioritize student retention efforts and to develop strategies that interact with students to effectively provide additional value and service. In this study we developed a two-module system: a decision tree for predicting a student’s decision to stay until graduation and an affinity analysis algorithm for identifying the relationship between student attributes and student decisions. We followed a three-phase-six-stage adaptive data mining cycle in developing a knowledge base for student retention strategies. The …

‘So What If Chatgpt Wrote It?’ Multidisciplinary Perspectives On Opportunities, Challenges, And Implications Of Generative Conversational Ai For Research, Practice, And Policy, Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, Alex Koohang, Vishnupriya Raghavan, Manju Ahuja, Hanaa Albanna, Mousa Ahmad Albashrawi, Adil S. Al-Busaidi, Janarthanan Balakrishnan, Yves Barlette, Sriparna Basu, Indranil Bose, Laurence Brooks, Dimitrios Buhalis, Lemuria Carter, Soumyadeb Chowdhury, Tom Crick, Scott W. Cunningham, Gareth H. Davies, Robert M. Davison, Rahul Dé, Denis Dennehy, Yanqing Duan, Rameshwar Dubey, Rohita Dwivedi, John S. Edwards, Carlos Flavián, Robin Gauld, Varun Grover, Mei-Chih Hu, Marjin Janssen, Paul Jones, Iris Junglas, Sangeeta Khorana, Sascha Kraus, Kai R. Larsen, Paul Latreille, Sven Laumer, F. Tegwen Malik, Abbas Mardani, Marcello Mariani, Sunil Mithas, Emmanuel Mogaji, Jeretta Horn Nord, Siobhan O'Connor, Fevzi Okumus, Margherita Pagani, Neeraj Pandey, Savvas Papagiannidis, Ilias O. Pappas, Nishith Pathak, Jan Pries-Heje, Ramakrishnan Raman, Nripendra P. Rana, Sven-Volker Rehm, Samuel Riberiro-Navarrete, Alexander Richter, Frantz Rowe, Suprateek Sarker, Bernd Carsten Stahl, Manoj Kumar Tiwari, Wil Van Der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright

ISSCM Faculty Publications

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organizations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is …

Non-Invasive Measurement Of Trust In Group Interactions, Lee A. Spitzley, Xinran Wang, Xunyu Chen, Steven J. Pentland, Jay F. Nunamaker, Judee K. Burgoon, Norah E. Dunbar

IT and Supply Chain Management Faculty Publications and Presentations

Trust between group members has many implications for how well a group performs. In this study, we predict perceived trustworthiness of group members when there are subversive group members. We collected multimodal verbal and nonverbal data from a group interaction experiment. During the interaction, we periodically surveyed the group members about their perceptions of trustworthiness of other group members. We used this data to model the relationship between observable behavior and perceptions of trustworthiness. We report the most predictive features and describe them in the context of existing literature on verbal and nonverbal correlates of trust. This research advances the …

M&M;'S®, Sampling, And X-Bar/R Control Charts: A Demonstration And Validation, Matthew Castel

IT and Supply Chain Management Faculty Publications and Presentations

Relaying statistical concepts to students is difficult without "real-world" examples and corresponding data. However, it is difficult to obtain data for student usage, let alone have the data mean something to the student. This paper attempts to provide students with a hands-on demonstration to aid in their understanding and application of control charts using the tangibility of M&M's^®. During the demonstration, students gain an understanding of how to perform sampling, evaluate basic statistics, and leverage tangible data to create x-bar & R charts. The demonstration's effectiveness is then assessed using a post-hoc data analysis of student examination data …

Clarifying The Role Of E-Government Trust In E-Government Success Models: A Meta-Analytic Structural Equation Modeling Approach, Apeksha Hooda, Parul Gupta, Anand Jeyaraj, Yogesh K. Dwivedi

ISSCM Faculty Publications

E-government implementation success is of critical importance for nations. Prior information systems (IS) success models emphasize the effects of information quality, service quality, system quality, and user satisfaction but do not consider e-government trust. This study incorporates e-government trust into the IS success model and empirically tests the model on empirical findings reported in 67 prior studies using meta-analysis methods and structural equation modeling. Our analysis shows that: a) information quality, service quality, system quality, and user satisfaction influence e-government trust, and b) system use mediates the effect of e-government trust on intention to use e-government systems in the future.

Tesla Energy Division Strategic Audit, Kaleb Strawhecker

Honors Theses

Tesla’s electric vehicle manufacturing operation is the major revenue source for the company. Tesla has established itself as a significant player amongst other automotive manufacturers, specifically in the electric vehicle sector. Many trends are favoring Tesla’s expansion. This audit takes a look at trends and changes through a PESTEL analysis along with Porter’s Five Forces. Both provide an in-depth look into what the environment around Tesla is like. Then, these are used to evaluate Tesla’s major strategies, competitive advantages, and resources it has at its disposal. Finally, the audit will address how the factors allow Tesla to take advantage of …

The Rapid Increase Of Ransomware Attacks Over The 21st Century And Mitigation Strategies To Prevent Them From Arising, Sanjay Jacob

Senior Honors Theses

Cyber-attacks have continued to become more common throughout the past century as more people are exposed to the Internet. Every year, various studies, reports, and scholarly research is done to emphasis the rapid increase of attacks. In this honors thesis, the student sought to gather further information about the rise of ransomware attacks, various cyber threats, discuss the psychological manipulation that exist, and provided the reader with an ethical complement of cyber-attacks. Additionally, case studies from previous research have been analyzed and mitigation strategies have been explained to provide the reader with practical application. This research emphasizes in on key …

Affordances And Information Systems Research: Taking Stock And Moving Forward, Mostafa Mesgari, Kaveh Mohajeri, Bijan Azad

Information Systems and Business Analytics Faculty Works

The term affordance appears with increasing frequency in the Information Systems (IS) literature. Nevertheless, those who study information technologies/information systems (IT/IS) via the affordance lens often have different views about its origin, meaning, and appropriate application in IS research. In turn, not spelling out the related assumptions and boundaries inherent in these diverse views may have hindered a wider and more cumulative adoption of the affordance lens in IS research. This paper offers a potential solution by (1) synthesizing the ecological psychology literature to suggest five key modules of the affordance concept relevant to IS research and (2) taking stock …

Informational Content Of Factor Structures In Simultaneous Discrete Response Models, Shakeeb Khan, Arnaud Maurel, Yichong Zhang

Research Collection School Of Economics

We study the informational content of factor structures in discrete triangular systems. Factor structures have been employed in a variety of settings in cross sectional and panel data models, and in this paper we attempt to formally quantify their informational content in a bivariate system often employed in the treatment effects literature. Our main findings are that under the factor structures often imposed in the literature, point identification of parameters of interest, such as both the treatment effect and the factor load, is attainable under weaker assumptions than usually required in these systems. For example, we show is that an …

Partial Centralization In A Durable-Good Supply Chain, Jin Li, Xiaodong Yang, Victor Shi, Gangshu (George) Cai

Information Systems and Analytics

There has been extensive research on the strategic choice between supply chain centralization and decentralization. However, most research assumes complete centralization or complete decentralization but omits the commonly adopted supply chain structure of partial centralization. With partial centralization, a firm owns a portion, but not all, of its partner. To help fill this research gap, in this paper, we make a major contribution by explicitly analyzing partial centralization in a supply chain where a durable-good manufacturer owns a portion of its downstream retailer. We start with a two-period model and derive analytical equilibrium outcomes of the supply chain and its …

Ais Teaching Curation Project: The Introductory Course In Information Systems, James Burleson, Teagen Nabity-Grover, Karim Jetha

IT and Supply Chain Management Faculty Publications and Presentations

The Association for Information Systems (AIS) Teaching Curation Project aims to highlight and summarize research within the association that focuses on the major courses taught in Information Systems (IS) programs. The present literature review is a companion to a curation website specific to the introductory course in IS. In this review, we identify three major themes that pervade this literature: IS program enrollment, pedagogy, and curriculum. We use these themes to structure our summary of the research on the importance of the introductory course and various approaches to instruction. These themes also provide a framework for positioning future research. For …

Teaching Tip: A Teaching Module Illustrating Erp Item Value Automation, Anil Singh, Vikram Bhadauria, George Mangalaraj

Information Systems Faculty Publications and Presentations

Large parts of the enterprise resource planning (ERP) processes are automated. One example is the item values in the sales order process. To execute a sales order, the ERP system applies a specific “find” strategy on a wide variety of data sources such as customer master, material master, and customer price-specific data tables, and extracts information such as customer class, discounts, and dates for computations of line items, namely, prices, discounts, and taxes. While completing their ERP assignments on the sales order process, students often see only the final sales order amount and ignore—and thereby fail to appreciate and understand—the …

Learning-By-Doing In Non-Homogeneous Tasks: An Empirical Study Of Content Creator Performance On A Music Streaming Platform, Yang Li, Yanni Ping, Yuyun Zhong, Ram Misra

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

With the development of high-speed internet and better mobile connections, online streaming platforms with user-generated videos are becoming popular. The success of these platforms relies on content creators who can effectively enhance user engagement (e.g., subscribing to a content creator’s channel). As opposed to homogeneous production scenarios (e.g., assembling automobiles in a factory), creating user-generated videos is a more complex task in which learning might happen. In this study, we empirically test the effect of prior experience on content creators’ performance. Furthermore, we examine the role of specialization in learning. We use a dataset from NetEase Cloud Music, one of …

Positioning, Articulating, And Crafting Conceptual Articles On Entrepreneurship, James J. Chrisman, Chevy-Hanqing Fang, Lloyd Steier

Business and Information Technology Faculty Research & Creative Works

Conceptual Articles Are Important for Theory Building but the Special Challenges of Developing Conceptual Articles on Entrepreneurship Has Not Been Fully Considered. We Begin to Fill This Gap by Discussing the Nature of Conceptual Articles on Entrepreneurship, Particularly Those Geared for Publication in Entrepreneurship Theory and Practice. We Introduce Three Dimensions of the Entrepreneurship Discipline—uniqueness, Relevance, and Multiplicity—and Discuss How They Can Affect the Positioning of Conceptual Articles and the Articulation of their Contribution. We Also Enumerate Some Basic Principles for Crafting Good Conceptual Articles and Present Guidelines based on Our Discussion.

Impact Of Emr/Ehr And Computer Decision Support Systems On Nursing Homes And Long-Term Care, Wendy Trzyna, Brian Cox, Alberto Coustasse

Management Faculty Research

Long-Term Care (LTCs) facilities and nursing homes have been an essential part of the healthcare industry to meet the needs of older adults. However, Electronic Medical Records (EMRs/ EHR within LTC facilities and nursing homes have lagged more than in other healthcare sectors. This research analyzed the impact of implementing EMR/EHR and Computerized Decision Support Systems within LTC facilities and nursing homes. In nursing homes and LTC facilities where EMR/EHR has been implemented, patient outcomes improved by reduced pressure ulcers and increased identification of patients at risk for malnutrition and falls. Integration of CDSSs with EMR/EHR improved documentation and prescribing …

Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman

Publications

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …

Jump To Platform Faster? Gender, Institutional Change, And Pre-Entrant Entrepreneurial Attempt, Lei Xu, K. Praveen Parboteeah, Chevy-Hanqing Fang

Business and Information Technology Faculty Research & Creative Works

Purpose: The authors enrich and extend the existing institutional anomie theory (IAT) in the hope of sharpening the understanding of the joint effects of selected cultural values and social institutional changes on women's pre-entrant entrepreneurial attempts. The authors theorize that women are culturally discouraged to pursue pre-entrant entrepreneurial attempts or wealth accumulation in a specific culture. This discouragement creates an anomic strain that motivates women to deviate from cultural prescriptions by engaging in pre-entrant entrepreneurial attempts at a faster speed. Building on this premise, the authors hypothesize that changes in social institutions facilitate the means of achievement for women due …

Motivators And Inhibitors For Business Analytics Adoption From The Cross-Cultural Perspectives: A Data Mining Approach, Hokey Min, Bih-Ru Lea

Business and Information Technology Faculty Research & Creative Works

In the increasingly knowledge-based world economy, the multinational firm's success often hinges on its business intelligence capability nurtured by business analytics (BA). Despite the growing recognition of BA's role in enhancing the firm's intellectual capital and subsequent competitiveness, it is still unknown what truly motivates and inhibits BA adoption. This study aims to identify key influencing factors for BA adoption such as organizational characteristics, information security/privacy, and information technology maturity (knowledge level). In so doing, this study employed data mining and data visualization techniques to develop specific patterns of BA adoption practices based on a combined sample of 224 Korean …

Generative Ai And Chatgpt: Applications, Challenges, And Ai-Human Collaboration, Fiona Fui-Hoon Nah, Ruilin Zheng, Jingyuan Cai, Keng Siau, Langtao Chen

Business and Information Technology Faculty Research & Creative Works

No abstract provided.