Author List: Benlian, Alexander; Koufaris, Marios; Hess, Thomas;
Journal of Management Information Systems, 2011, Volume 28, Issue 3, Page 85-126.
Despite the need to better understand how customers of software-as-a-service (SaaS) solutions perceive the quality of these software services and how these perceptions influence SaaS adoption and use, there is no extant measure that comprehensively captures service quality evaluations in SaaS. Based on previous SERVQUAL and SaaS literature, field interviews and focus groups, a card-sorting exercise, and two surveys of SaaS using companies, we develop, refine, and test SaaS-Qual, a zones-of-tolerance (ZOT)-based service quality measurement instrument specifically for SaaS solutions. Besides validating already established service quality dimensions (i.e., rapport, responsiveness, reliability, and features), we identify two new factors (i.e., security and flexibility) that are essential for the evaluation of service quality of SaaS solutions. SaaS-Qual demonstrates strong psychometric properties and shows high nomological validity within a framework that predicts the continued use of SaaS solutions by existing customers. In addition to developing a validated instrument that provides a fine-grained measurement of SaaS service quality, we also enrich existing research models on information systems continuance. Moreover, the SaaS-Qual instrument can be used as a diagnostic tool by SaaS providers and users alike to spot strengths and weaknesses in the service delivery of SaaS solutions.
Keywords: IS continuance; SaaS-Qual; service quality; SERVQUAL; software-as-a-service; zones of tolerance
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#22 0.232 software vendors vendor saas patch cloud release model vulnerabilities time patching overall quality delivery software-as-a-service high need security vulnerability actually
#124 0.175 validity reliability measure constructs construct study research measures used scale development nomological scales instrument measurement researchers developed validation discriminant results
#263 0.153 instrument measurement factor analysis measuring measures dimensions validity based instruments construct measure conceptualization sample reliability development develop responses assess use
#115 0.121 quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better include means van dimensions assessing
#211 0.113 service services delivery quality providers technology information customer business provider asp e-service role variability science propose logic companies especially customers
#140 0.075 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict