The Selection and Training Framework (STF) for Managers in (e-)Business Innovation Transformation Projects – Managerial Recommendations
Author(s) -
Antoine Trad,
Damir Kalpić
Publication year - 2014
Publication title -
procedia technology
Language(s) - English
Resource type - Journals
ISSN - 2212-0173
DOI - 10.1016/j.protcy.2014.10.026
Subject(s) - business transformation , business , knowledge management , process management , process (computing) , order (exchange) , transformation (genetics) , business rule , phase (matter) , new business development , selection (genetic algorithm) , business process modeling , business process , electronic business , business model , business relationship management , computer science , marketing , finance , biochemistry , chemistry , organic chemistry , work in process , gene , operating system , artificial intelligence
The riskiest factor the in business transformation process of a traditional business environment (BE) into an electronic lean and automated (ELBE) one [1] is the role of the profile and educational background of the business and (e-)business transformation managers (BTM); the influence they have on the concrete implementation phase of business transformation projects (BTP). The basic profile and managerial aspects of such a business transformation manager has not been sufficiently researched in a holistic manner in order to hammer the BTM's profile and to propose the related managerial recommendations, as a conclusion to this research project; and that is the main goal of the authors’ research topic [2,27–29]. In fact, currently there are no managerial recommendations and educational curriculum for such BTM profiles at hand [42]. This research paper deals with the managerial recommendations for the BTM selection and education. The BTM who has to manage the technical implementation phase of complex business transformation projects; knowing that the BTP's implementation phase is the major cause of very high failure rates [17,18]. The implementation of such business transformation projects require a specific knowledge of enterprise business architecture. The authors have based their research on the main fact that only around 12% of business organizations successfully terminate innovation-related business transformations projects [7]. “We know that those organizations that are consistently successful at managing innovation-related changes, outperform their peers in terms of growth and financial performance” [6,7]. Therefore, there is an essential need for more research on the BTMs’ profiles and a necessity to propose the related set of managerial recommendations
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