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Craig Carter

Craig Carter

· John G. Bebbling Professor in Business, Harold E. Fearon Fellow of Purchasing Management and Professor

Arizona State University · Business Law

Active 1993–2024

h-index54
Citations18.3k
Papers16023 last 5y
Funding
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About

Craig Carter is the John G. and Barbara A. Bebbling Professor of Supply Chain Management at Arizona State University. His primary research stream focuses on sustainable supply chain management, encompassing ethical issues in buyer-supplier relationships, environmental supply management, diversity sourcing, perceptions of opportunism in supply chain relationships, and broader concepts of social responsibility and sustainability. A secondary area of his research examines behavioral and decision-making phenomena within supply management contexts. Carter holds a Ph.D. from Arizona State University and a B.S. from the University of Maryland-College Park. He has extensive industry experience in transportation and logistics with Ryder Systems, Hechinger Company, and the U.S. Department of Transportation, along with field-based research involving over 100 Fortune 1000 firms in the U.S. and Germany. His scholarly contributions include numerous publications in leading journals, and he serves as an advising editor and editor emeritus for the Journal of Supply Chain Management, as well as an associate editor for other prominent journals.

Research topics

  • Computer Science
  • Artificial Intelligence
  • Business
  • Marketing
  • Economics
  • Psychology
  • Microeconomics
  • Multimedia
  • Mathematics education
  • Sociology
  • Management science
  • Social Science
  • Political Science
  • Computer Security
  • Social psychology
  • Public relations

Selected publications

  • Student engagement in synchronous online learning: Effectiveness of camera and chat/vote engagement methods

    Decision Sciences Journal of Innovative Education · 2024 · 3 citations

    • Computer Science
    • Computer Science
    • Multimedia

    Abstract The advent of the COVID‐19 pandemic accelerated the need to conduct synchronous online instruction in which students and faculty were distributed geographically but aggregated digitally onto a single screen on a computer. This approach will likely persist into the future. Thus, a better understanding of how engagement approaches can be adapted to the synchronous online teaching environment is critical for future success. This research presents an experiment‐based investigation into the effectiveness of two often‐debated engagement approaches, namely, the camera‐on and the vote/chat approaches in a synchronous online learning environment. We found that using individual engagement methods, such as requiring cameras to be on or using the vote and chat functions to elicit student responses, improves learning outcomes. Surprisingly, the combined use of these methods hinders student learning, and they perform no better than the control group where no specific engagement methods were required. We posit that the reason for this result is that too much engagement increases total cognitive load to a point where it is detrimental to learning.

  • Student Engagement in Synchronous Online Teaching: Effectiveness of Camera and Chat-vote

    SSRN Electronic Journal · 2024

    • Computer Science
    • Computer Science
    • Multimedia
  • Configurational approaches to theory development in supply chain management: Leveraging underexplored opportunities

    Journal of Supply Chain Management · 2021 · 66 citations

    Senior authorCorresponding
    • Computer Science
    • Computer Science
    • Artificial Intelligence

    Abstract In introducing the 2020 Emerging Discourse Incubator, Flynn et al. (2020, https://doi.org/10.1111/jscm.12227 ) urged supply chain scholars to leverage fresh approaches in order to develop supply chain‐specific theory, including approaches that are underutilized within the discipline. In response, we explain how more examination of configurations—meaningful sets of observations within a sample—can enhance theory development and, in particular, fuel the construction of supply chain‐specific theory. First, we describe the value of configurational theorizing while contrasting it with two more popular approaches: one that centers on linear relationships and one that spotlights the unique features of individual observations. Second, we explain the main configurational approaches available to scholars. Here, we pay special attention to qualitative comparative analysis (QCA)—an approach to configurational theorizing that is relatively new to organizational research. Third, we offer examples of how configurational theorizing via the use of QCA can be used to develop supply chain management theory. Although QCA is employed regularly in neighboring fields, QCA remains something of a conceptual curiosity within supply chain management research. This state of affairs represents an important opportunity because QCA's emphasis on causal complexity fits well with the fact that supply chain outcomes usually arise from an array of variables—often at different levels of analysis—and the interplay among them. Thus, better leveraging configurational theory development can facilitate the creation of novel conceptualizations and useful advice for practice.

  • Spillover effects of information leakages in buyer–supplier–supplier triads

    Journal of Operations Management · 2020 · 86 citations

    Senior authorCorresponding
    • Computer Security
    • Computer Science
    • Business

    Abstract Information leakages—the unauthorized sharing of an organization's information with another organization—are a growing concern in today's supply chains, but remain relatively underexplored. Drawing on attribution theory and observational learning, our research investigates inter‐organizational information leakages from a network perspective. We assess the spillover effects of opportunistic and inadvertent information leakages between an OFFENDER organization and a VICTIM organization on the relationship between the OFFENDER and a nonpartisan OBSERVER . We consider the roles of integrity‐ and ability‐based trust, as well as operational similarity between the organizations. We conducted scenario‐based experiments with 181 sales practitioners recruited via MTurk and supplemented those results with post hoc interviews. Our results show clear spillover effects: The OBSERVER 's willingness to share information with the OFFENDER decreases significantly after any type of information leakage between the OFFENDER and the VICTIM, but more so for opportunistic leakages. Integrity‐based trust mediates the relationship between intentionality and information sharing willingness. We also find indications of an unexpected collateral damage effect in that to some extent, both trust dimensions decrease in both forms of information leakage. Further, for opportunistic information leakages, the OBSERVER 's willingness to share information with the OFFENDER decreases more when OBSERVER and VICTIM are operationally similar.

  • On making experimental design choices: Discussions on the use and challenges of demand effects, incentives, deception, samples, and vignettes

    Journal of Operations Management · 2020 · 161 citations

    • Computer Science
    • Sociology
    • Computer Science

    Abstract In late 2018, the Journal of Operations Management published an invited methods article by Lonati et al. (2018) to provide guidance to authors on how to design behavioral experiments to achieve the rigor required for consideration in the journal. That article was written as a response to a number of behavioral research submissions to JOM , each dealing with interesting topics but viewed by the editors to possess poor design choices at inception. While the Lonati et al. (2018) piece provides experimental guidance fitting to certain research agendas, questions have arisen concerning whether and how exactly to implement some of the points that it makes, and how to best address trade‐offs in the design of behavioral experiments. Questions have also arisen concerning how to apply these concepts in operations management research. This technical note seeks to address these questions, by diving into the details of research risks and trade‐offs regarding demand effects, incentives, deception, sample selection, and context‐rich vignettes. The authors would like to recognize the input of a large number of senior scholars in the JOM community who have provided support and feedback as we have sought to help authors tease out what can reasonably be done in designing strong behavioral experiments that fit various research agendas.

Frequent coauthors

  • Lutz Kaufmann

    WHU – Otto Beisheim School of Management

    55 shared
  • Lisa M. Ellram

    16 shared
  • James C. Thomas

    10 shared
  • Elizabeth Torrone

    Primary Source

    10 shared
  • Brooke A. Levandowski

    University of Rochester

    9 shared
  • Michael J. Maloni

    Kennesaw State University

    9 shared
  • Wendy L. Tate

    Knoxville College

    8 shared
  • Zachary S. Rogers

    Colorado State University

    8 shared

Education

  • Ph.D.

    Arizona State University

    1996
  • B.S.

    University of Maryland-College Park

    1990

Awards & honors

  • Harold E. Fearon Fellow of Purchasing Management

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