The Propagation of Technology Management Taxonomies for Evaluating Investments in Information Systems

By Zahir Irani, Peter E. D. Love. Journal of Management Information Systems, 2000

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Re-conceptualizing Information System Success: The IS-Impact Measurement Model (2008, background): “While the assessment of IS Success is consistently reported by organizational executives throughout the world as a key issue (e.g., Irani and Love, 2000, Thatcher and Oliver, 2001), there is little consensus among practitioners or researchers on how best to measure the impact of IS in organizations.”
Information systems evaluation: navigating through the problem domain (2002, background): “The notion of benefit taxonomies is not new, for example [12,17,30,31,41,51].”
Big data and predictive analytics for supply chain and organizational performance (2017, methodology): “To offer better insights into BDPA assimilation a mixed research approach could be useful, for instance using both a survey and semi-structured interviews with managers and decision makers although, it is a well used methodological approach, see for example Irani and Love (2001).”
Evaluating e‐government: learning from the experiences of two UK local authorities (2005, methodology): “This underlines the signiﬁ-cance of ‘soft’ contextual issues associated with the ex-ante evaluation process (Irani & Love, 2001).”