Paper Authored by LSU Faculty Receives Honorable Mention in Paper of the Year Ranking
July 3, 2018
BATON ROUGE – A paper authored by a group including two LSU professors was recently honored by The Data Base for Advances in Information Systems, a quarterly publication of the Association of Computing Machinery Special Interest Group on Management Information Systems (ACM SIGMIS).
“Examining the Impact and Detection of the ‘Urban Legend’ of Common Method Bias” received an honorable mention in The Data Base for Advances in Information Systems’ ranking of best papers for 2017. The paper’s authors include Andrew Schwarz, a professor in the LSU Stephenson Department of Entrepreneurship & Information Systems, and Tracey Rizzuto, an associate professor in the LSU School of Leadership & Human Resource Development. Additional authors include Colleen Carraher-Wolverton, assistant professor at the University of Louisiana at Lafayette and University of Seville faculty members José L. Roldán and Ramón Barrera-Barrera.
The best paper award for The Data Base for Advances in Information Systems is determined using a process that allows its editorial boards to nominate and rank the best articles published in a given year.
“I am both honored and humbled by this recognition,” said Schwarz. “My colleagues and I worked tirelessly on this article. We believe our work will shape the field for years to come.”
The paper examines Common Method Bias (CMB), a frequent concern for information systems and social science researchers. CMB refers to the variance that can be attributed to the measurement method rather than the actual predispositions of the respondents. While there is some debate on the impact of CMB, for this study, the authors accept the consensus view that CMB exists and ask whether current tools of measurement are capable of detecting the biases that researchers implicitly interject throughout their research design. The authors theorize that the Monte Carlo simulations employed by most empirical researchers do not reflect the reality in which CMB manifests itself. The authors also examined distinct types of bias sources rather than treating all forms of bias the same. The paper addresses the impact of different sources of CBM on measurement and structural models and investigates whether the most commonly utilized approaches for detecting CMB produce similar estimates. The results provide empirical evidence that the sources of CMB have differential impacts on measurement and structural models, and that many of the detection techniques commonly utilized within the information systems field demonstrate inconsistent accuracy in discerning these differences.
The full text of the paper is available online.
About the School of Leadership & Human Resource Development
The LSU School of Leadership & Human Resource Development (SLHRD) offers programs dedicated to producing world-class practitioners, leaders, and instructors in human resource and leadership development. The BS, MS, PhD and certificate programs are designed to develop the leadership, planning, analytical, problem solving and change management capabilities that today's globalized organizations need to be successful. SLHRD also offers a 100% online master’s program and is a school within the College of Human Sciences & Education.
About the Stephenson Department of Entrepreneurship and Information Systems
The Stephenson Department of Entrepreneurship and Information Systems at LSU’s E. J. Ourso College of Business combines teaching and research to create a rich learning experience for its students. Relationships with industry and state agencies enable the department to assist organizations with issues related to entrepreneurship, information systems, analytics and business intelligence, as well as innovation and technological change and offer enhanced career opportunities for its graduates. Collaborative research efforts of its diverse faculty have resulted in major grants from the National Science Foundation and the state of Louisiana. For more information, visit lsu.edu/business/sdeis.
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Contact: Angela McBride