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Recent Journal Publications by COB Faculty

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Academic Journal
BIS

“Improving IT Assessment with IT Artifact Affordance Perception Priming”

Accurately assessing organizational information technology (IT) is important for accounting professionals, but also difficult. Both auditors and the professionals from whom they gather data are expected to make nuanced judgments regarding the adequacy and effectiveness of controls that protect key systems. IT artifacts (policies, procedures, and systems) are assessed in an audit because they “afford” relevant action possibilities but perception preferences shade the results of even systematic and well-tested assessment tools. This study of 246 business students makes two important contributions. First we demonstrate that a tendency to focus on either artifact or organizational imperative systematically reduces the power of well-regarded IT measurements. Second, we demonstrate that priming is an effective intervention strategy to increase the predictive power of constructs from the familiar technology acceptance model (TAM).
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Academic Journal
Business Analytics

“Improving Mobile Health Apps Usage: A Quantitative Study on mPower Data of Parkinson's Disease”

Purpose
The emergence of mobile health (mHealth) products has created a capability of monitoring and managing the health of patients with chronic diseases. These mHealth technologies would not be beneficial unless they are adopted and used by their target users. This study identifies key factors affecting the usage of mHealth apps based on user usage data collected from an mHealth app.

Design/methodology/approach

Using a data set collected from an mHealth app named mPower, developed for patients with Parkinson’s disease (PD), this paper investigated the effects of disease diagnosis, disease progression, and mHealth app difficulty level on app usage, while controlling for user information. App usage is measured by five different activity counts of the app.

Findings
The results across five measures of mHealth app usage vary slightly. On average, previous professional diagnosis and high user performance scores encourage user participation and engagement, while disease progression hinders app usage.

Research limitations/implications
The findings potentially provide insights into better design and promotion of mHealth products and improve the capability of health management of patients with chronic diseases.

Originality/value
Studies on the mHealth app usage are critical but sparse because large-scale and reliable mHealth app usage data are limited. Unlike earlier works based solely on survey data, this research used a large user usage data collected from an mHealth app to study key factors affecting app usage. The methods presented in this study can serve as a pioneering work for the design and promotion of mHealth technologies.
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Media
Business Analytics

“Improving Student Engagement and Connection in Online Learning through Proactive Support”

Xiaohui Chang associate professor of Business Analytics, doesn't hold office hours. She holds "ask me anything hours" as a part of her methods to engage, connect and show empathy for her online students. Her first essay on the Ecampus teaching journey has great tips for all of our increased interactions in the virtual space.
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Media
Business Analytics

“Improving Student Engagement and Connection in Online Learning: Part II, Methodologies and Practices”

The first article in the series appeared last December. Since then, we have received plenty of feedback from other instructors who are actively engaged in online education. Almost all of them agreed that teaching well online remains a challenging task. In this article, I discussed six specific practices that I have found particularly helpful for online teaching and learning.

Practice 1: Adopt a variety of communication methods
Practice 2: Create a Q&A Discussion Board
Practice 3: Estimate the amount of time taken for each assignment
Practice 4: Ensure timely replies
Practice 5: Synchronize assignments with the Canvas calendar
Practice 6: Reorganize course content
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Academic Journal
Business Law

“Incentive Regulation, New Business Models, and the Transformation of the Electric Power Industry”

The electric utility sector is in the midst of paradigmatic change. Market forces include decreased load growth and technological advances in distributed energy resources, alongside pressures for decarbonization and demands for increased efficiency and new utility services. Meanwhile, as the utility monopoly is undermined and profits slow, financial analysts signal increasing risk to potential utility investors. Suggestions for changes to the existing regulatory structure abound. At the broadest level, the changes that have been proposed reflect an established divide between energy policy, which traditionally focuses on economics and markets, and environmental law, which is based in the protection of natural resources and ecosystems. This article: 1) identifies regulatory and economic incentives embedded in the current utility system; 2) assesses current market trends and new utility goals; and 3) analyzes the intersection of embedded regulatory incentives and key proposals for regulatory changes in light of the new goals. It finds that proposals for changes to the regulatory structure often fail to account for existing regulatory incentives, and ignore opportunities to use regulatory incentives to modify and incentivize desired utility behavior. It concludes with recommendations for ways to incorporate incentive-based regulation in proposals for new utility regulatory structures.
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Academic Journal
Supply Chain

“Incentivizing Supplier Participation in Buyer Innovation: Experimental Evidence of Non-Optimal Contractual Behaviors”

Original equipment manufacturers increasingly involve suppliers in new product development (NPD) projects. How companies design a contract to motivate supplier participation is an important but under-examined empirical question. Analytical studies have started to examine the optimal contract that aligns buyer-supplier incentives in joint NPD projects, but empirical evidence is scarce about the actual contracts offered by buying companies. Bridging the analytical and empirical literature, this paper compares optimal contracting derived from a parsimonious analytical model with actual behaviors observed in an experiment. In particular, we focus on how project uncertainty, buying company effort share, and buyer risk aversion influence three contractual decisions: total investment level, revenue share and fixed fee. Our results indicate significant differences between the optimal and actual behaviors. We identify various types of non-optimal contractual behaviors, which we explain from a risk aversion as well as a bounded rationality perspective. Overall, our findings contribute to the literature by showing that (1) the actual contractual behaviors could differ significantly from the optimal ones, (2) the actual contract design is sensitive to changes in project uncertainty and buying company effort share, and (3) the significant roles of risk aversion and bounded rationality in explaining the non-optimal contractual behaviors.
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