We present evidence from laboratory experiments showing that individuals are “last-place averse.” Participants choose gambles with the potential to move them out of last place that they reject when randomly placed in other parts of the distribution. In modified dictator games, participants randomly placed in second-to-last place are the most likely to give money to the person one rank above them instead of the person one rank below. Last-place aversion suggests that low-income individuals might oppose redistribution because it could differentially help the group just beneath them. Using survey data, we show that individuals making just above the minimum wage are the most likely to oppose its increase. Similarly, in the General Social Survey, those above poverty but below median income support redistribution significantly less than their background characteristics would predict.
Aubiquitous feature of even the fastest self-service technology transactions is the wait. Conventional wisdom and operations theory suggest that the longer people wait, the less satisfied they become; we demonstrate that because of what we term the labor illusion, when websites engage in operational transparency by signaling that they are exerting effort, people can actually prefer websites with longer waits to those that return instantaneous results--even when those results are identical. In five experiments that simulate service experiences in the domains of online travel and online dating, we demonstrate the impact of the labor illusion on service value perceptions, demonstrate that perceptions of service provider effort induce feelings of reciprocity that together mediate the link between operational transparency and increased valuation, and explore boundary conditions and alternative explanations. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors.marketing, channels of distribution, queues, industries, business services, inventory-production, operating characteristics, service operations, service design
Purpose-The purpose of this article is to present exciting and innovative research questions in service operations that are aligned with eight key themes and related topics determined by the Journal of Service Management (JOSM) Service Operations Expert Research Panel. By offering a good number of such research questions, we provide a broad range of ideas to spur conceptual and empirical research related to service operations. As a result, we hope to encourage the continued creation of deep knowledge within the field, as well as collaborative research across disciplines that develop and incorporate insights from service operations. Design/methodology/approach-Based on a Delphi study, described in the companion article, "Service Operations: What Have We Learned?," the panel identified eight key research themes in service operations where leading-edge research is being done or has yet to be done (Victorino, et al., 2018). In this article, we select three or four topics within each theme and propose multiple questions for each topic to guide research efforts. The topics and questions, while wide-ranging, are representative of the many ongoing research opportunities related to service operations. Findings-The field of service operations has many interesting research topics and questions that are largely unexplored. Furthermore, these research areas are not only increasingly integrative across multiple themes within operations but often transcend functional disciplines. This creates opportunities for ever more impactful research with a greater reach throughout the service system and suggests that service researchers, regardless of functional affiliation, can contribute to the ongoing conversation on the role of service operations in value creation. Originality/value-We leverage the collective knowledge of the JOSM Service Operations Expert Research Panel to elaborate on the research themes generated from the Delphi study and put forward novel questions for future study. Recognizing that the number of potential research questions is virtually unlimited, we also provide summary questions by theme and topic. These questions represent a synopsis of the individual questions and can serve as a quick reference guide for researchers interested in pursuing new directions in conceptual and empirical research in service operations. This summary also serves as a framework to facilitate the formulation of additional research topics and questions.
We investigate whether organizations can create value by introducing visual transparency between consumers and producers. Although operational transparency has been shown to improve consumer perceptions of service value, existing theory posits that increased contact between consumers and producers may diminish work performance. Two field and three laboratory experiments in food service settings suggest that transparency that 1) allows customers to observe operational processes and 2) allows employees to observe customers not only improves customer perceptions, but also increases service quality and efficiency. In our fully specified models, the introduction of reciprocal operational transparency contributed to a 22.2% increase in customerreported quality and reduced throughput times by 19.2%. Laboratory studies revealed that customers who observed employees engaging in labor perceived greater effort, better appreciated that effort, and valued the service more. Employees who observed customers felt that their work was more appreciated and more impactful, and thus were more satisfied with their work and more willing to exert effort. We find that transparency, by visually revealing operating processes to consumers and beneficiaries to producers, generates a positive feedback loop through which value is created for both parties.
The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. Ryan Buell acknowledges a doctoral student stipend from Harvard Business School. Taly Reich acknowledges a doctoral student stipend from Stanford Business School. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
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