You can contact Sijun Wang at Sijun.Wang@lmu.edu.
Sijun Wang is a professor of marketing at Loyola Marymount University's College of Business Administration. Before joining the faculty in 2010, she was an associate professor of marketing at California State Polytechnic University. Wang also taught at Beijing Institute of Technology and the University of Alabama. Wang has consulted for companies from various industries worldwide, including BASF Group (USA), Educe Software Co. (India), China Aluminum Group (China), and Kaile Technology Co. (China). She holds a distinguished guest professorship at Huazhong University of Science & Technology (China) and Beijing Institute of Technology (China). Wang is a member of the American Marketing Association and Academy of Marketing Science Association.
University of Alabama : Ph.D., Marketing 2004
University of Alabama: M.S., Statistics 2002
Wuhan Institute of Technology: M.S., International Business 1995
Xi’An Jiaotong University: B.S., Economics 1990
Areas of Expertise (3)
Industry Expertise (3)
Training and Development
Customer Insights Class, Hosted Dwayne Logan Jr. (professional)
During her Customer Insights class, Sijun Wang hosted guest speaker Dwayne Logan, Jr. ’15, senior success manager at Smartly.io. He leads the automation of social media and marketing communication movements through the company’s hightech based approach to customer engagement.
Employees’ Decision-making in the Face of Customers’ Fuzzy Return RequestsJournal of Marketing
Frontline service employees frequently encounter customers' fuzzy requests, defined as requests that are slightly or somewhat outside company policy but not completely unacceptable or detrimental to the company. Employees' compliance decisions can profoundly affect customers, organizations, and employees themselves. However, the complex decision process in which service employees engage is largely unexplored.
Disclosure Antecedents in an Online Service Context: The Role of Sensitivity of InformationJournal of Service
The authors propose and find that the mixed results of prior research regarding disclosure antecedents are due in part to a failure to account for information sensitivity. Using prospect theory to examine willingness to disclose in an online service context, the authors propose and find that greater sensitivity of information requested produces weaker effects of customization benefits but stronger effects of information control and online privacy concern.