Complexity Theory and Organization Science
Organization Science
Information Systems Research
E-service: a new paradigm for business in the electronic environment
Communications of the ACM - E-services: a cornucopia of digital offerings ushers in the next Net-based evolution
Information Systems Research
Organizing and the Process of Sensemaking
Organization Science
Competing on Analytics: The New Science of Winning
Competing on Analytics: The New Science of Winning
Turn to the material: Remote diagnostics systems and new forms of boundary-spanning
Information and Organization
The impact of business analytics on supply chain performance
Decision Support Systems
Research Commentary---Seeking the Configurations of Digital Ecodynamics: It Takes Three to Tango
Information Systems Research
Organizing Ecologies of Complex Innovation
Organization Science
Theorizing Practice and Practicing Theory
Organization Science
An Interdisciplinary Perspective on IT Services Management and Service Science
Journal of Management Information Systems
The Dual Regimes of Digital Innovation Management
HICSS '12 Proceedings of the 2012 45th Hawaii International Conference on System Sciences
Service science in information systems research
Decision Support Systems
Service innovation readiness: Dimensions and performance outcome
Decision Support Systems
Organizing for Innovation in the Digitized World
Organization Science
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While firms view services as the main source of their revenue and competitive advantage, understanding of service and service innovation is limited. This lack of understanding is especially significant in IT-Enabled Services (IESs) and IES innovation. Much work is needed to understand the contemporary trend of integrating diverse material and social resources to address complex organizational and individual needs. This article proposes a novel framework for IES and IES innovation and develops propositions and implications for research and practice. This work draws upon the tenet of complexity theory and conceptualizes IES as complex adaptive systems (CAS), with such properties and behaviors as diverse adaptive elements, nonlinear interaction, self-organization, and adaptive learning, and IES innovation as a co-evolutionary process of variation, selection, and retention (VSR). The proposed framework is illustrated using business analytics (BA) as a new kind of decision support service (DSS) throughout this paper. Several propositions are developed. Finally, we present a discussion and implications.