Social relationships as strategic variable in the sharing economy: an empirical analysis of accommodation-sharing market

IF 4 Q2 BUSINESS
Prashanth Ravula
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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.

Abstract Image

共享经济中作为战略变量的社会关系:对住宿共享市场的实证分析
与商品相比,消费者认为住宿服务具有更大的购买风险,尤其是在首次购买和国际旅行期间。为了降低这种风险,潜在消费者会寻找能表明他们所期望的服务质量的线索。本研究调查了在快速发展的共享经济住宿行业中,社会关系在消费者购买决策中的作用。利用 Airbnb 的社交关系功能,消费者可以了解自己与全球 Airbnb 房东的社交关系。我们对至少使用过一次社交连接功能的 4316 名潜在消费者样本采用了删减比例危险模型。此外,我们还使用 8632 名消费者的倾向得分匹配样本对模型进行了重新估计。研究显示,使用社交连接功能与危险率之间存在正相关。具体而言,研究结果表明,使用社交关系功能搜索住宿可缩短首次购买时间。文章讨论了这些发现的管理意义。
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来源期刊
CiteScore
5.40
自引率
16.70%
发文量
46
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.
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