Author List: Wheeler, Bradley C.;
Information Systems Research, 2002, Volume 13, Issue 2, Page 125-146.
We propose the Net-Enabled Business Innovation Cycle (NEBIC) as an applied dynamic capabilities theory for measuring, predicting, and understanding a firm's ability to create customer value through the business use of digital networks. The theory incorporates both a variance and process view of net-enabled business innovation. It identifies four sequenced constructs: Choosing new IT, Matching Economic Opportunities with technology, Executing Business Innovation for Growth, and Assessing Customer Value, along with the processes and events that interrelate them as a cycle. The sequence of these theorized relationships for net-enablement (NE)¹ asserts that choosing IT precedes rather than aligns with corporate strategy. The theory offers a logically consistent and falsifiable basis for grounding research programs on metrics of net-enabled business innovation.
Keywords: Digital Business; e-Business.; Innovation; IS Research Frameworks; Net-Enabled Organizations (NEO's; Theory Building
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List of Topics

#212 0.330 business digital strategy value transformation economy technologies paper creation digitization strategies environment focus net-enabled services processes insights challenges key response
#140 0.175 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#210 0.086 innovation innovations innovative organizing technological vision disruptive crowdsourcing path implemented explain base opportunities study diversity taking actors practice shape creation
#143 0.084 value business benefits technology based economic creation related intangible cocreation assessing financial improved key economics assess question created create understanding
#59 0.075 capabilities capability firm firms performance resources business information technology firm's resource-based competitive it-enabled view study value infrastructure results organizational model
#114 0.074 performance firm measures metrics value relationship firms results objective relationships firm's organizational traffic measure market study improve accounting measuring aggregate
#128 0.070 dynamic time dynamics model change study data process different changes using longitudinal understanding decisions develop temporal reveal associated state identifies