GROUP THINK DECISION MAKIN G DEFICIENCY IN THE REQUIREMENTS ENGINEERING PROCESS: TOWARDS A CROWDSOURC ING MODEL

dc.contributor.authorMuganda, Nixon
dc.contributor.authorAsmelash, Dawit
dc.contributor.authorSamal, Mlay
dc.date.accessioned2015-05-29T14:44:54Z
dc.date.available2015-05-29T14:44:54Z
dc.date.issued2012
dc.description.abstractWe make an argument that requirements engineering, as a primer to information technology deployment in organizations, is largely failing because decision making in the requirements engineering (RE) process empathizes with the ethos of 'group think' which 'fuels' inefficient 'control indeterminacy.' We make this argument from the premise that technological artifacts that get inscribed within organizational culture and design do so through an initial process that involves prioritization, which in itself is theorized as an outcome of organizational discourse. We draw on critical realism's retroductive approach and the practice of 'group think' for grounding crowdsourcing in IT project prioritization. Our choice of crowdsourcing as a remedy for inefficiencies in IT Project prioritization is deliberate: it elevates the notion of group think as a theoretical lens; and is in line with the positioning of organizational decision making as deliberately constitutive and representative of stakeholder interests. However, we remain attentive guard against utopianism, but still make the claim that crowdsourcing provides us with some traction for seeking alternatives that can lead to a re-invigoration in RE research for effective practices in IT projects. The analyses links RE decision making deficiency to the prevalence of Organizational Resistance, Technical Incompetence, Lack of a Moral and Ethical Code and Inappropriate Leadership for Creativityen_US
dc.identifier.urihttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=2132040
dc.identifier.urihttp://hdl.handle.net/123456789/1189
dc.language.isoenen_US
dc.titleGROUP THINK DECISION MAKIN G DEFICIENCY IN THE REQUIREMENTS ENGINEERING PROCESS: TOWARDS A CROWDSOURC ING MODELen_US
dc.typeWorking Paperen_US

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