Author List: Scherer, Anne; Wunderlich, Nancy; Wangenheim, Florian von;
MIS Quarterly, 2015, Volume 39, Issue 1, Page 177-200.
Advancements in information technology have changed the way customers experience a service encounter and their relationship with service providers. Especially technology-based self-service channels have found their way into the 21st century service economy. While research embraces these channels for their cost-efficiency, it has not examined whether a shift from personal to self-service affects customer–firm relationships. Drawing from the service-dominant logic and its central concept of value-in-context, we discuss customers’ value creation in self-service and personal service channels and examine the long-term impact of these channels on customer retention. Using longitudinal customer data, we investigate how the ratio of self-service versus personal service use influences customer defection over time. Our findings suggest that the ratio of self-service to personal service used affects customer defection in a U-shaped manner, with intermediate levels of both self-service and personal service use being associated with the lowest likelihood of defection. We also find that this effect mitigates over time. We conclude that firms should not shift customers toward self-service channels completely, especially not at the beginning of a relationship. Our study underlines the importance of understanding when and how self-service technologies create valuable customer experiences and stresses the notion of actively managing customers’ cocreation of value.
Keywords: Self-service; e-service; value-in-context; customer retention; customer defection; longitudinal
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#288 0.267 customer customers crm relationship study loyalty marketing management profitability service offer retention it-enabled web-based interactions operations sales strategy channels set
#211 0.161 service services delivery quality providers technology information customer business provider asp e-service role variability science propose logic companies especially customers
#83 0.129 personal computers use lead order using users pcs innovativeness understanding professional help forces gained usage increase trends parallel introduced expressed
#116 0.082 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#173 0.075 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#143 0.065 value business benefits technology based economic creation related intangible cocreation assessing financial improved key economics assess question created create understanding
#279 0.064 field work changes new years time change major period year end use past early century half traditional areas established strong