Understanding diffusion of information systems-based services: evidence from mobile banking services

PurposeThe Bass model is widely used in the literature to capture the diffusion of innovations and shows excellent predictive power in the context of durable goods. However, the model's efficacy fades when services are the target of analysis. Services that users adopt and subsequently utilize r...

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Published in:	Internet research 2020-06, Vol.30 (4), p.1281-1304
Main Authors:	Saeed, Khawaja A, Xu, Jingjun (David)
Format:	Article
Language:	eng
Subjects:	Accuracy Banking Consumers Consumption Correlation analysis Customer services Information systems Innovation Innovations Intention Literature Reviews Mobile commerce Online banking Outcomes of Education Phenomenology Power consumption Social networks Social research User behavior
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title	Understanding diffusion of information systems-based services: evidence from mobile banking services
format	Article
creator	Saeed, Khawaja A Xu, Jingjun (David)
subjects	Accuracy Banking Consumers Consumption Correlation analysis Customer services Information systems Innovation Innovations Intention Literature Reviews Mobile commerce Online banking Outcomes of Education Phenomenology Power consumption Social networks Social research User behavior
ispartof	Internet research, 2020-06, Vol.30 (4), p.1281-1304
description	PurposeThe Bass model is widely used in the literature to capture the diffusion of innovations and shows excellent predictive power in the context of durable goods. However, the model's efficacy fades when services are the target of analysis. Services that users adopt and subsequently utilize regularly are regarded as a continuous process that entails the possibility of dis-adoption and re-adoption. These aspects are not accounted for in the traditional Bass model. Thus, this study extends the Bass model to information system (IS)-based services by taking into account the unique nature of service adoption: the possibility of dis-adoption and re-adoption.Design/methodology/approachThe proposed hypotheses were empirically tested using a longitudinal study of mobile service usage over 18 months. The longitudinal design provides a stronger position than the typical cross-sectional survey to understand the dynamics and infer causality.FindingsResults show that the inclusion of the dis-adoption and re-adoption rates in the Bass model significantly improves the explanatory power over the traditional Bass model.Originality/valueConsumption of services delivered through IS has exponentially increased. However, understanding on the diffusion pattern of IS-based services is limited. Our study is the first to examine the effect of dis-adoption and re-adoption together in the innovation diffusion process. The study offers significant implications for researchers and practitioners. The extended Bass model can help service firms develop an accurate prediction about the number of adopters at different periods of time.
language	eng
source	Education Database; ABI/INFORM global; Library & Information Science Abstracts (LISA); Emerald Management 120; Library Science Database; Social Science Premium Collection (Proquest) (PQ_SDU_P3); Library & Information Science Collection; Education Collection
identifier	ISSN: 1066-2243
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issn	1066-2243 2054-5657
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However, the model's efficacy fades when services are the target of analysis. Services that users adopt and subsequently utilize regularly are regarded as a continuous process that entails the possibility of dis-adoption and re-adoption. These aspects are not accounted for in the traditional Bass model. Thus, this study extends the Bass model to information system (IS)-based services by taking into account the unique nature of service adoption: the possibility of dis-adoption and re-adoption.Design/methodology/approachThe proposed hypotheses were empirically tested using a longitudinal study of mobile service usage over 18 months. The longitudinal design provides a stronger position than the typical cross-sectional survey to understand the dynamics and infer causality.FindingsResults show that the inclusion of the dis-adoption and re-adoption rates in the Bass model significantly improves the explanatory power over the traditional Bass model.Originality/valueConsumption of services delivered through IS has exponentially increased. However, understanding on the diffusion pattern of IS-based services is limited. Our study is the first to examine the effect of dis-adoption and re-adoption together in the innovation diffusion process. The study offers significant implications for researchers and practitioners. The extended Bass model can help service firms develop an accurate prediction about the number of adopters at different periods of time.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/INTR-01-2019-0008</doi><orcidid>https://orcid.org/0000-0002-9875-7620</orcidid></addata></record>