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Management Information Systems Commons™

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2022

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Articles 151 - 156 of 156

Full-Text Articles in Management Information Systems

Back From The Future: Mediation And Prediction Of Events Uncertainty Through Event-Driven Models (Edms), Samuel Ogbeibu, James Gaskin Jan 2022

Back From The Future: Mediation And Prediction Of Events Uncertainty Through Event-Driven Models (Edms), Samuel Ogbeibu, James Gaskin

Faculty Publications

The event-driven model (EDM) is an emerging concept in human behavioural research, and understanding how EDMs can promote theory development remains a fundamental quest of predictive science. Traditionally, researchers have heavily depended upon theory confirmation and the inclusion of mediating constructs to clarify uncertainty associated with plausible events (e.g. political, socio-economic, technological, environmental). Though this approach has pushed the field forward, it has also steered mediation research towards largely ignoring the fundamental role of prediction as a key for better understanding future events represented by EDMs. Additionally, emerging research using partial least squares structural equation modelling to execute prediction-oriented analysis …

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Transformational It Leaders And Digital Innovation: The Moderating Effect Of Formal It Governance, Linda M. Pittenger, Nicholas Berente, James Gaskin Jan 2022

Transformational It Leaders And Digital Innovation: The Moderating Effect Of Formal It Governance, Linda M. Pittenger, Nicholas Berente, James Gaskin

Faculty Publications

Does formal IT governance encourage innovation in the traditional domains of the IT function at the expense of new forms of “digital” innovation? We report on a study of 158 IT managers and leaders to understand the conditions under which transformational IT leadership can drive innovation in traditional forms of IT, as well as in the emerging “digital” domain. We find that highly formal IT governance practices can reduce ability of transformational IT managers and leaders to innovate in both domains, and this effect is greater for digital innovation. In stable cultures the moderation effect was strengthened, while insignificant in …

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Digital Behavioral Biometrics And Privacy: Methods For Improving Business Processes Without Compromising Customer Privacy, Joseph S. Valacich, Jeffrey L. Jenkins, D. Čišić Jan 2022

Digital Behavioral Biometrics And Privacy: Methods For Improving Business Processes Without Compromising Customer Privacy, Joseph S. Valacich, Jeffrey L. Jenkins, D. Čišić

Faculty Publications

To enable people to interact with online websites and systems, browsers capture a variety of events that occur on the page—such as how a person is moving the computer mouse, what a person clicks on, what a person types, and whether a person is scrolling. These events represent a user’s behavior on a page, referred to as the DOM or Document Object Model, and are recorded at a millisecond precision rate (e.g., the exact millisecond timestamp when a key goes down and when it comes back up). Research and practice alike have found that these behavioral events can provide powerful …

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The Path Of The Righteous: Using Trace Data To Understand Fraud Decisions In Real Time, Markus Weinmann, Joe Valacich, Christoph Schneider, Jeffrey Jenkins, Martin Hibbeln Jan 2022

The Path Of The Righteous: Using Trace Data To Understand Fraud Decisions In Real Time, Markus Weinmann, Joe Valacich, Christoph Schneider, Jeffrey Jenkins, Martin Hibbeln

Faculty Publications

Trace data—users’ digital records when interacting with technology—can reveal their cognitive dynamics when making decisions on websites in real time. Here, we present a trace-data method—analyzing movements captured via a computer mouse—to assess potential fraud when filling out an online form. In contrast to incumbent fraud-detection methods, which analyze information after submission, mouse-movements traces can capture the cognitive dynamics of a decision to be fraudulent as it is happening. We report two controlled studies using different tasks, where participants could freely commit fraud to benefit themselves financially while we captured mouse-cursor movement data. We found that participants who entered fraudulent …

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An Institutional Theory Perspective On Ehr Engagement: Mandates, Penalties, And Enforcement, Mark J. Keith, Elina Chun Stewart, Tevin Stewart, Mitchell Josephson, Bob Cash, Connor Bice Jan 2022

An Institutional Theory Perspective On Ehr Engagement: Mandates, Penalties, And Enforcement, Mark J. Keith, Elina Chun Stewart, Tevin Stewart, Mitchell Josephson, Bob Cash, Connor Bice

Faculty Publications

Electronic Health Record (EHR) systems are the predominant information system (IS) used by healthcare clinicians and have been the source of both great success and pain. User engagement with EHR systems is unique from traditional IS contexts in significant ways. Prior research explains EHR usage and success primarily on traditional technology acceptance research (i.e., TAM, UTAUT). However, these models assume that EHR engagement is no different from IS systems in general business domains. Yet, the healthcare context is far more regulated than most. Based on qualitative focus group sessions with a leading healthcare analytics firm (KLAS Research), we identify the …

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Information Filtering In Electronic Networks Of Practice: An Fmri Investigation Of Expectation (Dis)Confirmation, Kelly J. Fadel, Thomas O. Meservy, C. Brock Kirwan Jan 2022

Information Filtering In Electronic Networks Of Practice: An Fmri Investigation Of Expectation (Dis)Confirmation, Kelly J. Fadel, Thomas O. Meservy, C. Brock Kirwan

Faculty Publications

Online forums sponsored by electronic networks of practice (ENPs) have become an important platform for technology-mediated knowledge exchange, yet relatively little is known about how ENP participants filter and evaluate the information they encounter on these forums. This study integrates perspectives from expectation confirmation theory, prospect theory, and neuroscience research to explore how ENP forum filtering judgments are influenced when expectations formed on the basis of contextual cues are confirmed or disconfirmed by the examination of solution quality. We summarize six different models of expectation confirmation explored in previous IS literature and report the results of a neuroimaging experiment using …

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