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020 ▼a 9781392289143
035 ▼a (MiAaPQ)AAI13899898
035 ▼a (MiAaPQ)grad.msu:16919
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 005
1001 ▼a Beck, Jonathan Michael.
24510 ▼a Managing the Online Conversation: The Roles of Expressed Behavioral Commitment and Decreased Customer Effort in Online Customer Reviews.
260 ▼a [S.l.]: ▼b Michigan State University., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 119 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 80-12, Section: A.
500 ▼a Publisher info.: Dissertation/Thesis.
500 ▼a Advisor: Hult, Tomas.
5021 ▼a Thesis (Ph.D.)--Michigan State University, 2019.
506 ▼a This item must not be added to any third party search indexes.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a Word of mouth and online customer reviews are important factors that influence customer purchase behavior. However, firms face the challenge of motivating customers to share their experiences online and quantifying the value of this online engagement. My dissertation consists of two essays that address these challenges by showing how firms can motivate customers to engage online and measure their change in spending once they do so. Essay One examines the role of cognitive effort in the generation of word of mouth, and across six studies I show that when firms suggest positive pre-generated comments to their customers, effort is reduced and customers are more likely to share via social media. The first study establishes that offering one pre-generated comment is optimal and requires the least amount of cognitive effort. Study two shows that effort is the mediator between the pre-generated comments and customer posting intentions. Studies three and four are field experiments that show robustness of the main effect of a pre-generated comment increasing online engagement. Study five replicates these findings and highlights an added benefit of pre-generated comments: Firms can prime customers with desirable behavior (e.g., excitement) by using language cues, which can generate additional spending. Study six tests for potential backlash from customers when there is a mismatch between the positive pre-generated comment and the actual experience. Findings from study six show that the positive suggestions will not amplify customer negativity, which indicates that there are no significant downsides to these positive suggestions. Taken together, the study results in Essay One show that firms can reduce cognitive effort for their customers by suggesting positive comments, and this will subsequently increase positive word of mouth and customer spending. Essay Two attempts to push forward the current understanding of how much online customer reviews are worth to firms. Much prior work has assessed the effect of reviews on potential customers, but little work has focused on changes in behavior of the reviewers themselves once they post a review. Drawing on the commitment-consistency principle, I conduct two studies that show how the act of posting a review changes customer spending. Study one uses a data set of over 60,000 loyalty program members of a large quick-serve restaurant, and results show that customers who are active reviewers spend differentially more and have more transactions than those customers who are not reviewers. I also find that relationship length affects this reviewer spending effect, where customers with a longer tenure exhibit even greater spending and transaction. Study two is an experiment that builds upon the results of study one by establishing causality and showing the value of a managerial response to an online customer review. When the review is acknowledged by management, interpersonal justice is increased, which partially explains the relationship between reviewer status and future spending. As a result, I conclude that when assessing the benefits of online customer reviews, managers must also account for changes in spending of the reviewers themselves. At the same time, firms should focus on converting customers into reviewers, since this could spur additional purchases from them in the future.
590 ▼a School code: 0128.
650 4 ▼a Business administration.
650 4 ▼a Marketing.
650 4 ▼a Management.
650 4 ▼a Web Studies.
690 ▼a 0310
690 ▼a 0338
690 ▼a 0454
690 ▼a 0646
71020 ▼a Michigan State University. ▼b Business Administration-Marketing.
7730 ▼t Dissertations Abstracts International ▼g 80-12A.
773 ▼t Dissertation Abstract International
790 ▼a 0128
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15492126 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK