Management Information Systems Commons^™

Optimal Policy For Production Systems With Two Flexible Resources And Twoproducts, Jianjun Xu, Shaoxiang Chen, Gangshu (George) Cai

Information Systems and Analytics

Manufacturing companies are facing increasing volatility in demand. As a result, there has been an emerging need for a flexible multi-period manufacturing system that uses multiple resources to produce multiple products with stochastic demands. To manage such multi-product, multi-resource systems, manufacturers need to make two decisions simultaneously: setting a production quantity for each product and allocating the limited resources dynamically among the products. Unfortunately, although the flexibility design and investment have been extensively studied, the literature has been muted on how to make production and allocation decisions optimally from an operational perspective. This article attempts to fill this literature gap …

Ten Lightweight Sa&D Tools Based On Work System Theory And Its Extensions, Steven Alter

Business Analytics and Information Systems

This paper illustrates ten lightweight SA&D tools that could support initial deliberations about system requirements and subsequent sanity checking for high-level designs and for proposed functions and features. The tools are as relevant to agile development as to other approaches related to work systems in organizations. A brief introduction to the work system perspective leads to a section that illustrates ten SA&D tools based directly on work system theory or its extensions. The tools are applied to the same situation, a hiring system at a technical firm. These tools are not part of established SA&D pedagogy or practice. This paper’s …

When Statistical Significance Is Not Enough: Investigating Relevance, Practical Significance, And Statistical Significance, Kaveh Mohajeri, Mostafa Mesgari, Allen S. Lee

Information Systems Publications

The notions of significance and relevance have provoked much controversy and confusion among those who conduct and those who are intended to be informed by quantitative research in the information systems (IS) field. The history of quantitative research in the IS field and beyond reveals not only disputes over the adequacy of statistical significance to warrant the scientific merits of research, but also pleas for drawing attention to practical significance, as well as a lack of distinction between relevance and practical significance. This essay offers a remedial, overarching account. We establish the position that statistical significance, practical significance, and relevance …

In Or Out? Perceptions Of Inclusion And Exclusion Among Ais Members, Jaime Windeler, Stacie Petter, Kathy Chudoba, Emma Coleman, Grace Fox, Thomas A. Chapman

Data Analytics & Information Systems Faculty Publications

People want a sense of community, a benefit that a professional association such as the Association for Information Systems (AIS) can provide to members. When attempts to create a shared experience fall short and we feel excluded, we disengage and stop further attempts to participate. In this paper, we lay a foundation for individual and association inclusion practices in the AIS. First, we describe the current state of inclusion practices in the academy and in the AIS. Then, we describe findings from a survey of AIS members that measured their perceptions about inclusion and exclusion and factors that cultivated these …

Manufacturer Strategy On Service Provision In Competitive Channels, Xiaodong Yang, Gangshu (George) Cai, Charles A. Ingene, Jihong Zhang

Information Systems and Analytics

A manufacturer commonly distributes through a set of retailers who are authorized to sell its product; demand-enhancing services may also be provided by the manufacturer. These services may be granted to all authorized retailers (uniform service provision) or to a favored few authorized retailers (differential service provision). To determine when a manufacturer does—or does not—bestow equal service levels, we develop a model of one manufacturer selling through two competing retailers. We find manufacturer optimality to entail uniform service at some parametric values, while differential service is optimal at other values. Counterintuitively, with differential service, the recipient of lower service may …

Analysis Of Massive Online Medical Consultation Service Data To Understand Physicians’ Economic Return: Observational Data Mining Study, Jinglu Jiang, Ann-Frances Cameron, Ming Yang

Management and Accounting Faculty Scholarship

Background: Online health care consultation has become increasingly popular and is considered a potential solution to health care resource shortages and inefficient resource distribution. However, many online medical consultation platforms are struggling to attract and retain patients who are willing to pay, and health care providers on the platform have the additional challenge of standing out in a crowd of physicians who can provide comparable services. Objective: This study used machine learning (ML) approaches to mine massive service data to (1) identify the important features that are associated with patient payment, as opposed to free trial–only appointments; (2) explore the …

A Course Plan For Principles Of Is Programming To Withstand Covid-19, Amy J. Connolly, Leigh A. Mutchler

Department of Computer Information Systems and Business Analytics - Faculty Scholarship

The COVID-19 pandemic has created a no-win situation for Fall semester classes: bring students back to campus and risk spreading the virus or teach online and risk insolvency. As faculty work through summer to plan even as situations change, flexible course plans must be built to weather COVID-19 while still meeting students’ needs and expectations for teaching at their institutions. This paper discusses how Principles of IS Programming was quickly and successfully transitioned from a face-to-face course to fully online in Spring and how lessons learned from that transition will be applied to Fall semester. In addition, the paper describes …

Values Of Artificial Intelligence In Marketing, Yingrui Xi

Masters Theses

“Artificial Intelligence (AI) is causing radical changes in marketing and emerging as a competent assistant supporting all areas of the marketing field. The influences and impacts AI has created in various marketing segments have aroused much interest among marketing professionals and academic scholars. Comprehensive and systematic studies on the values of AI in marketing, however, are still lacking and the existing literature fragmented. This research provides a comprehensive review of the existing literature in the relevant fields as well as a series of systematic interviews using the Value-Focused Thinking approach to understand the values of AI in marketing. This research …

Why Is Bribery Pervasive Among Firms In Sub-Saharan African Countries? Multi-Industry Empirical Evidence Of Organizational Isomorphism, Nnaoke Ufere, James Gaskin, Sheri Perelli, Antoinette Somers, Richard Boland Jr.

Faculty Publications

Motivated by the prevalence and persistence of corruption in Sub-Saharan Africa (SSA) despite high-profile anticorruption efforts, and by calls for more research on unethical organizational behavior by firms in Africa, we investigated the link between bribery in 12 SSA countries and the phenomenon of organizational isomorphism, long used to explain legitimate, but rarely, illegitimate firm practices. Analysis of 5989 SSA firms in three distinct industries known for high levels of bribery reveals direct positive relationships between bribery and its perception as frequently practiced in specific industries (“mimetic isomorphic effect”); institutional constraints on businesses (“coercive isomorphic effect”); and local market rivalry …

Nebraska Farm Real Estate Market Highlights 2019-2020, Jim Jansen, Jeffrey Stokes

Extension Farm and Ranch Management News

Introduction

The Nebraska Farm Real Estate Market Highlights 2019-20 report represents the 42nd edition to the annual series. These reports provide an important insight on agricultural land market dynamics for stakeholders across Nebraska. In today’s market, where market transactions exceeding $1 million dollars are the norm, objective market information and analysis is more critical than ever. The focus of the report continues to be on providing unbiased information for agricultural land values and rental rates so industry participants can make educated and informed decisions.

This year, the February 2020 survey of nearly 120 expert panel members from across the state …

Design Principles For Signal Detection In Modern Job Application Systems: Identifying Fabricated Qualifications, Nathan W. Twyman, Steven J. Pentland, Lee Spitzley

IT and Supply Chain Management Faculty Publications and Presentations

Hiring a new employee is traditionally thought to be an uncertain investment. This uncertainty is lessened by the presence of signals that indicate job fitness. Ideally, job applicants objectively signal their qualifications, and those signals are correctly assessed by the hiring team. In reality, signal manipulation is pervasive in the hiring process, mitigating the reliability of signals used to make hiring decisions. To combat these inefficiencies, we propose and evaluate SIGHT, a theoretical class of systems affording more robust signal evaluation during the job application process. A prototypical implementation of the SIGHT framework was evaluated using a mock-interview paradigm. Results …

Relevance Of Health-Related Hashtags On Twitter: A Text Mining Approach, Mauli Dalal, Kweku-Muata Osei-Bryson

Graduate Research Posters

BACKGROUND

Social media platforms facilitate user interaction and impact decision making. Users prefer to use hashtags while sharing posts. Knowing the sentiment towards diabetes, bloodpressure, and obesity is fundamental to understanding the impact of these information on patients and their families. The study seeks to determine the relevance of health-related hashtags on Twitter and analyze sentiments about diabetes, obesity, blood pressure.

METHOD

Tweets were retrieved using synonyms for “diabetes”, “hypertension” and “obesity”. The extended knowledge discovery in data mining (KDDM) model guided our research with research objectives defined in the ‘research problem understanding’ phase. The ‘information seeking’ from Uses and …

Determinants Of Startup Funding: The Interaction Between Web Attention And Culture, Jie Ren, Viju Raghupathi, Wullianallur Raghupathi

Journal of International Technology and Information Management

Technology empowers entrepreneurs to pursue alternative funding through platforms like crowdfunding. This research explores significant startup funding factors using Crunchbase. Controlling for common factors (acquisition/funding-rounds/IPO), the research uniquely focuses on web attention - the visibility on social media - and its impact on funding. It also examines the moderating influence of startup’s home country culture (individualism/collectivism). Findings show stronger positive impact of web attention on startup funding for collectivist countries. While individualistic investors value personal goals, collectivists value collaborative goals - inclinations that align with crowdfunding behavior. Therefore while increasing web attention, crowdfunding efforts can be targeted towards collectivist countries.

Cybersecurity Of Online Proctoring Systems, Ludwig Slusky

Journal of International Technology and Information Management

The online proctored examinations are adopted exceedingly in all forms of academic education and professional training. AI with Machine Learning technology take the leading role in supporting authentication, authorization, and operational control of proctored online examination. The paper discusses how administrative, physical, and technical controls can help mitigate related cybersecurity vulnerabilities of online proctoring systems (OPS). The paper considers two classes of OPS: fully automated AI-enabled systems and hybrid systems (automated AI-enabled with an expert live proctor in control). Based on the review of 20 online proctoring systems, the paper discusses methods and techniques of multi-factor authentication and authorizations, including …

Evaluating Students Information System Success Using Delone And Mclean’S Model: Student’S Perspective, Majaliwa Mkinga, Herman Mandari

Journal of International Technology and Information Management

System success is considered to be an important element in accomplishing the goals of the organization; therefore evaluation of system success needs to be done in order to ensure that investment in Information System is successful. Most of Higher Learning Institutions (HLIs) in Tanzania have adopted the use of IS in providing service to their customers. Nevertheless, there is less evidence that system success evaluation has been done in order to identify the desired characteristics which could make IS more effective. Due to that, this study evaluates the effectiveness of Student Information System (SIS) used at the Institute of Finance …

An Integrated View Of Data: Application Of Knowledge Modeling To Data Management, Sung-Kwan Kim, Wenjun Wang

Journal of International Technology and Information Management

Data management has become an important challenge. Good data management requires an effective approach to collecting, storing, and accessing data across the enterprise. In this paper, a knowledge modeling approach to data management is introduced with an emphasis on data requirements analysis. A knowledge model can provide a high-level view of organizational data by specifying the structure and relationships of the knowledge contents used in business processes. The proposed knowledge modeling approach is business process oriented and decision oriented. The description of the knowledge contents in the model is based on ontological specification. The model is comprised of five elements: …

Editorial

Journal of Cybersecurity Education, Research and Practice

Editorial.

Editorial, Michael E. Whitman, Herbert J. Mattord, Hossain Shahriar

Journal of Cybersecurity Education, Research and Practice

No abstract provided.

Organizations And Communities: A Symbiosis View, Hani Safadi, Richard Watson, Tanner Skousen

Faculty Publications

How can organizations and communities engage in mutually beneficial relationships? We develop a framework that explains how an open community’s engagement with an organization can be mutually beneficial to both in the long-term. We theorize how a symbiotic relationship between organizations and communities can be achieved by nurturing various forms of capital flow between organizations and communities as well as creating virtuous feedback loops within each other’s capital creation systems.

Gdom: Granulometry For The Detection Of Obfuscated Malware, John A. Aruta, N. Paul Schembari

Journal of Cybersecurity Education, Research and Practice

We describe the results of a master's thesis in malware detection and discuss the connection to the learning goals of the project. As part of the thesis, we studied obfuscation of malware, conversion of files into images, image processing, and machine learning, a process of benefit to both the student and faculty.

Malware detection becomes significantly more difficult when the malicious specimen is obfuscated or transformed in an attempt to avoid detection. However, computer files have been shown to exhibit evidence of structure when converted into images, so with image processing filters such as granulometry, it is possible to generate …