- Computing and Information Systems - Research Publications
Computing and Information Systems - Research Publications
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ItemHow does business analytics contribute to business value?Seddon, PB ; Constantinidis, D ; Tamm, T ; Dod, H (WILEY, 2017-05)Abstract This paper presents a model, synthesized from the literature, of factors that explain how business analytics contributes to business value. It also reports results from a preliminary assessment of that model. The model consists of two parts: a process and a variance model. The process model depicts the analyze‐insight‐decision‐action process through which use of an organization's business analytic capabilities is intended to create business value. The variance model proposes that the five factors in Davenport et al.'s DELTA model of business analytics success factors, six from Watson & Wixom and three from Seddon et al.'s model of organizational benefits from enterprise systems, assist a firm to gain business value from business analytics. A preliminary assessment of the model was conducted using data from 100 customer success stories from vendors such as IBM, SAP and Teradata. Our conclusion is that the business analytics success model is likely to be a useful basis for future research.
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ItemA case-based assessment of the descriptiveness of three CIO typologies and validity of two CIO-effectiveness modelsSeddon, PB ; Walker, D ; Reynolds, P ; Willcocks, LP (Canterbury University Press, 2008-12-01)
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ItemBusiness Analytics and Competitive Advantage: A Review and a Research AgendaSharma, R ; Reynolds, P ; Scheepers, R ; Seddon, PB ; Shanks, G ; Respicio, A ; Adam, F ; PhillipsWren, G ; Teixeira, C ; Telhada, J (IOS PRESS, 2010)
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ItemIT project evaluation: Why more formal evaluation is not necessarily betterThomas, G ; Seddon, PB ; Fernandez, W ; Irani, Z ; Love, P (Routledge, 2008-03-05)
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ItemThe Australian Federal Government's Clustered-agency IT Outsourcing Experiment ASEDDON, P (Sage Publications, 2009)
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ItemA MULTI-PROJECT MODEL OF KEY FACTORS AFFECTING ORGANIZATIONAL BENEFITS FROM ENTERPRISE SYSTEMSSeddon, PB ; Calvert, C ; Yang, S (SOC INFORM MANAGE-MIS RES CENT, 2010-06)
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ItemEnabling strategic transformations with enterprise systems: Beyond operational efficiency research-in-progressBhattacharya, PJ ; Scheepers, R ; Seddon, PB (AISel, 2010-12-01)
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ItemThe impact of strategy and maturity on business analytics and firm performance: A review and research agendaShanks, G ; Sharma, R ; Seddon, P ; Reynolds, P (Association for Information Systems, 2010-12-01)
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ItemUnderstanding how project critical success factors affect organizational benefits from enterprise systemsLiu, AZ ; Seddon, PB (EMERALD GROUP PUBLISHING LTD, 2009)Purpose The purpose of this paper is to present and test a model that seeks to answer Robey et al.'s challenge that “ERP's critical success factors offer few insights beyond conventional wisdom.” The model proposes that many so‐called critical success factors (CSFs) affect organizational benefits from enterprise systems use (OBESU) through their impact on three outcomes of an enterprise systems (ES) implementation process, namely functional fit, overcoming organizational inertia, and delivering a working system. Design/methodology/approach The model is tested using content analysis of 133 customer presentations at SAP's April 2007 Sapphire USA Conference. Findings The benefit‐driver approach appears to provide at least one good answer to Robey et al.'s challenge. Research limitations/implications It seems likely that the model is valid for most large Western organizations implementing ES. Practical implications The model provides new insights into how and why the CSFs affect benefits from ES. Originality/value No prior study to the best of one's knowledge has sought to explain in such depth how ES project CSFs affect OBESU.
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ItemNo Preview AvailableIT Outsourcing Configuration: Defining and Designing Outsourcing ArrangementsCullen, S ; Seddon, P ; Willcocks, L (Palgrave Macmillan UK, 2009-06-25)