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Sijun  Wang, Ph.D. - Loyola Marymount University. Los Angeles , CA, US

Sijun Wang, Ph.D.

Professor of Marketing, College of Business Administration | Loyola Marymount University

Los Angeles , CA, UNITED STATES

Biography

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.

Education (4)

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)

Cross-Cultural Studies

Relationship Marketing

Service Marketing

Industry Expertise (3)

Training and Development

Research

Education/Learning

Accomplishments (1)

Customer Insights Class, Hosted Dwayne Logan Jr. (professional)

2020-11-02

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.

Articles (4)

Interplay of consumer animosity and product country image in consumers’ purchase decisions

Journal of International Business Studies

2022-07-01

The literature has long acknowledged the impact of stereotypical associations with a product’s country of origin (COO) on consumers’ cognitive assessments of the product. However, consumers’ emotional reactions to a product’s COO can also influence their decisions. For example, the literature reports a monotonically negative relationship between consumer animosity (CA) and the purchase of products from an animosity-evoking country. The literature provides an incomplete picture though because it does not consider other factors that may transform this negative relationship. Drawing on theories of the interplay between affect and cognition in decision-making, this research investigates the nuanced interaction between CA and product country image (PCI).

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When do frontline service employees feel more grateful?

European Journal of Marketing

2020-05-14

Drawing from the social exchange theory, the job demands-resources theory and the employee–organization relationship framework, this article aims to investigate underlying mechanisms through which organizational resources impact frontline service employees’ (FLEs) core service performance and customer-oriented organizational citizenship behavior (OCB).

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Employees’ Decision-making in the Face of Customers’ Fuzzy Return Requests

Journal of Marketing

2014-07-01

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.

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Disclosure Antecedents in an Online Service Context: The Role of Sensitivity of Information

Journal of Service

2012-02-17

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.

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