About

Professor Jason Deane is involved in research within the Business Information Technology department at Virginia Tech. His research focuses on security and privacy issues facing businesses and society, including how GDPR consent requirements affect business performance, the impact of how consent choices are presented on privacy decisions, the effectiveness of security fear appeals, multilevel privacy decision-making, and predicting users' susceptibility to phishing. Additionally, he engages in research related to health information technology and service operations, exploring how information technology can improve health outcomes, such as responses to fitness technologies, women's health in developing countries, disaster asset positioning, and resource-limited partnerships for medical legal assistance. His work also encompasses artificial intelligence, machine learning, and deep learning, applying these technologies to solve problems relevant to business and society, such as analyzing customer agility, detecting product defects through user-generated content, and predicting financial performance from news articles.

Research topics

• Computer Science
• Business
• Artificial Intelligence
• Engineering
• Marketing
• Finance
• Risk analysis (engineering)
• Operations research
• Industrial organization
• Knowledge management
• Commerce

Selected publications

• Cybersecurity in Supply Chains: Quantifying Risk

  Journal of Computer Information Systems · 2022 · 10 citations

  1st authorCorresponding
  • Computer Science
  • Business
  • Risk analysis (engineering)

  Sharing information in a supply chain can bring benefits to many, if not all, members of the chain; however, the impact of information sharing and information technology (IT) implementation on supply chain risk is not well understood. Reports from corporate board meetings indicate that while concern is expressed over such risk, there are no accepted principles or best practices for quantification of supply chain risk. To increase understanding of cybersecurity risk in supply chains from a more grounded quantitative perspective, we identify four different ways an organization in a chain can be attacked as well as the principal factors putting that firm at risk to each of the four types of attack. Using data from detailed forensic analyses of approximately 2000 companies and/or organizations that experienced attacks, we answer fundamental, data-driven questions both external and internal to a firm belonging to a supply chain.

  PublisherDOI

• Disaster Risk Planning With Fuzzy Goal Programming

  Risk Analysis · 2021 · 2 citations

  • Computer Science
  • Risk analysis (engineering)
  • Computer Science

  The uncertainty in the timing and severity of disaster events makes the long-term planning of mitigation and recovery actions both critical and extremely difficult. Planners often use expected values for hazard occurrences, leaving communities vulnerable to worse-than-usual and even so-called "black swan" events. This research models disasters in terms of their best-case, most-likely, and worst-case damage estimates. These values are then embedded in a fuzzy goal programming model to provide community planners and stakeholders with the ability to strategize for any range of events from best-case to worst-case by adjusting goal weights. Examples are given illustrating the modeling approach, and an analysis is provided to illustrate how planners might use the model as a planning tool.

  PublisherDOI

• 3D Printing Technology and the Market Value of the Firm

  Information Systems Frontiers · 2021 · 14 citations

  • Computer Science
  • Business
  • Industrial organization
  PublisherDOI

• An application of goal content theory to examine how desired exercise outcomes impact fitness technology feature set selection

  Information Systems Journal · 2019-01-04 · 45 citations

  article

  Abstract Fitness technologies are a prominent example of the societal trend towards personal informatics . These technologies pair devices that have various embedded sensors with one or more apps to allow for the collection, analysis, socialization, and management of individuals' health and wellness data. We have limited insight into what drives the use of fitness technologies or how they may contribute to wellness outcomes. To address this gap, our study examines how exercise goals are related to fitness technology feature set use and how the use is associated with a measure of the exercisers' psychological well‐being (ie, subjective vitality). We find that intrinsic exercise goals (eg, enjoyment or competence) are associated with the use of features that allow users to collect, analyse, and inform their exercise progress. Body‐focused extrinsic exercise goals (eg, appearance) are also associated with the use of such features but are negatively associated with features that socialize exercise. The social extrinsic exercise goal is associated with the use of more controlling features that can provide external pressure from the technology or other people. The social features of fitness technologies are associated with higher levels of subjective vitality. Our findings indicate that exercisers who have goals where measuring progress may be desired (eg, losing weight and training for a marathon) are more likely to be drawn to the data management aspects of fitness technologies, whereas using fitness technologies to socialize exercise may add an element of enjoyment that is attractive to some users and may lead to increased well‐being.

  PublisherDOI

• The effect of information security certification announcements on the market value of the firm

  Information Technology and Management · 2019-01-01 · 46 citations

  article1st authorCorresponding
  PublisherDOI

• Using Organismic Integration Theory to Explore the Associations Between Users’ Exercise Motivations and Fitness Technology Feature Set Use1

  MIS Quarterly · 2019-02-19 · 127 citations

  articleSenior author

  Wearable devices and applications (apps) that offer a variety of features intended to support exercisers have flooded the marketplace. Organismic integration theory (OIT) proposes that motivations to exercise can vary along a spectrum of self-determination. To best serve exercisers and assist organizations that are developing and promoting fitness technologies, we need a better understanding of how individuals’ exercise motivations influence their fitness technology feature set use. We also need to determine the impact of fitness technology features on enhancing or undermining wellness outcomes—such as subjective vitality. Our results suggest that almost every subtype of exerciser, where the subtype is defined by OIT motivations toward exercise, has a unique use profile. Our findings also suggest that the social interaction and data management features of current fitness technologies show promise in assisting well-being outcomes, but only for the more self-determined and amotivated subtypes of exercisers. This leads us to suggest that providing every type of exerciser the motivational support that best fits their motivational profile may not be a trivial task, but it ultimately may be necessary for fitness technologies to be universally useful in supporting wellness outcomes.

  PublisherDOI

• Marketing investments in sport venue naming rights and the market value of the firm

  International Journal of Sport Management and Marketing · 2019-01-01 · 4 citations

  article

  Sport venue naming rights agreements represent monumental long-term marketing investments to increase brand awareness and improve a firm's image. These agreements require enormous expenditures, highlighting the importance of understanding their impact on the firm's market value. Questions of the wisdom of such investments today, which types of sport venues are most appropriate, and whether full corporate names or truncated ones are equally successful are of more than academic interest. Prior research has presented only a limited window into the efficacy of these deals. Results from the well-known event study methodology show improved stock market returns based on 122 announcements of naming rights deals, although it is found that market reactions have soured since 2001, when several firms investing in naming rights experienced insolvency. Investments in naming major league baseball or multi-sport venues have been particularly wise. Somewhat surprisingly, we observe that longer sport venue names are preferred to other name lengths.

  PublisherDOI

• Marketing investments in sport venue naming rights and the market value of the firm

  International Journal of Sport Management and Marketing · 2019-01-01 · 2 citations

  article

  Sport venue naming rights agreements represent monumental long-term marketing investments to increase brand awareness and improve a firm's image. These agreements require enormous expenditures, highlighting the importance of understanding their impact on the firm's market value. Questions of the wisdom of such investments today, which types of sport venues are most appropriate, and whether full corporate names or truncated ones are equally successful are of more than academic interest. Prior research has presented only a limited window into the efficacy of these deals. Results from the well-known event study methodology show improved stock market returns based on 122 announcements of naming rights deals, although it is found that market reactions have soured since 2001, when several firms investing in naming rights experienced insolvency. Investments in naming major league baseball or multi-sport venues have been particularly wise. Somewhat surprisingly, we observe that longer sport venue names are preferred to other name lengths.

  PublisherDOI

• Integrating Spatial Analytics in Global Sourcing Decisions

  International Journal of Information Technology & Decision Making · 2018-03-14 · 2 citations

  article

  The ability or inability to develop an effective, reliable supplier network can often play a major role in determining an organization’s competitive position. Especially in today’s era of a complex global economy, disruptions to an organization’s supply chain can drastically undermine its ability to compete. We analyze the interaction between density risk, or risk related to the proximal relationships between suppliers, and environmental risk, or risk arising from conditions affecting a supplier’s local business environment. We provide a powerful supply base risk mitigation strategy incorporating spatial analytics to enhance our analyses. We develop a multi-objective program to manage these factors and recommend minimal risk supply bases. We detail the interaction between objectives in an example and discuss the ramifications for managers. This work will assist managers in their efforts to build a supply base that meets the cost and efficiency demands of their organization.

  PublisherDOI

• A fuzzy decision support system for pre-disaster budgeting

  International Journal of Information Systems and Management · 2018-01-01 · 4 citations

  article

  Estimating the potential loss from a disaster can be a difficult task due to the great uncertainty plus a lack of historical data. An integer programming budgeting system is developed for pre-disaster planning and mitigation funding where the loss parameters of the decision model are fuzzy numbers based on expert opinion. It allows for two options for representing the fuzzy numbers: the element with the highest grade of membership (the loss level that the expert feels about most strongly) and the element corresponding to the fuzzy average value at risk (AVaR) (a loss level with minimal support, but devastating consequences). A plan based on weighted preferences provides a compromise, using mitigation strategies based on maximum membership and strategies based on AVaR. Comparisons are made to illustrate how the budgeting model could be used to determine the best combination of strategies and weights for allocating mitigation dollars to balance overall risk.

  PublisherDOI

Frequent coauthors

• Terry R. Rakes

  Virginia Tech

  18 shared

• Loren Paul Rees

  Virginia Tech

  16 shared

• Anurag Agarwal

  University of Cambridge

  8 shared

• David M. Goldberg

  San Diego State University

  8 shared

• Selçuk Çolak

  4 shared

• Wade Baker

  Virginia Tech

  4 shared

• Cliff T. Ragsdale

  Virginia Tech

  3 shared

• Tabitha James

  Virginia Tech

  2 shared

Labs

• Business Information Technology LabPI