{"title":"Social relationships as strategic variable in the sharing economy: an empirical analysis of accommodation-sharing market","authors":"Prashanth Ravula","doi":"10.1057/s41270-024-00299-x","DOIUrl":null,"url":null,"abstract":"<p>Accommodation services are perceived by consumers as possessing a greater purchase risk compared to goods, especially in first-purchase situations and during international travel. To mitigate this risk, consumer prospects look for cues that indicate the quality of service they can expect. This research investigates the role of social relationships in consumer purchase decision-making within rapidly growing accommodation sector of the sharing economy. Utilizing Airbnb’s social connection feature, consumers can see how they are socially connected with Airbnb hosts worldwide. We employ a censored proportional hazard model on a sample of 4,316 consumer prospects who have used social connection feature at least once. Additionally, we re-estimate the model using a propensity score matched sample of 8,632 consumers. The study reveals a positive association between the use of social connection feature and the hazard rate. Specifically, findings indicate that the using social connection feature for searching for accommodation reduces the time to make a first purchase. The article discusses the managerial implications of these findings.</p>","PeriodicalId":43041,"journal":{"name":"Journal of Marketing Analytics","volume":"118 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marketing Analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41270-024-00299-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Accommodation services are perceived by consumers as possessing a greater purchase risk compared to goods, especially in first-purchase situations and during international travel. To mitigate this risk, consumer prospects look for cues that indicate the quality of service they can expect. This research investigates the role of social relationships in consumer purchase decision-making within rapidly growing accommodation sector of the sharing economy. Utilizing Airbnb’s social connection feature, consumers can see how they are socially connected with Airbnb hosts worldwide. We employ a censored proportional hazard model on a sample of 4,316 consumer prospects who have used social connection feature at least once. Additionally, we re-estimate the model using a propensity score matched sample of 8,632 consumers. The study reveals a positive association between the use of social connection feature and the hazard rate. Specifically, findings indicate that the using social connection feature for searching for accommodation reduces the time to make a first purchase. The article discusses the managerial implications of these findings.
期刊介绍:
Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors.
Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter.
The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline.
The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy.
The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.