Future Work and Enterprise Systems
Much of the current discourse about future work systems addresses automation, as work is increasingly performed by machines. For example, blockchain and smart contracts can automate large parts of the supply chain (Mendling et al. 2018), and machine learning now facilitates automation in business ar...
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Veröffentlicht in: | Business & Information Systems Engineering 2018-08, Vol.60 (4), p.357-366 |
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creator | vom Brocke, Jan Maaß, Wolfgang Buxmann, Peter Maedche, Alexander Leimeister, Jan Marco Pecht, Günter |
description | Much of the current discourse about future work systems addresses automation, as work is increasingly performed by machines. For example, blockchain and smart contracts can automate large parts of the supply chain (Mendling et al. 2018), and machine learning now facilitates automation in business areas that were once too unstructured for automation (Willcocks et al. 2015). In such settings, people are likely to contribute to work systems by means of creative work and exploration (as opposed to exploitation), a distinction that O’Reilly and Tushman (2013) referred to as organizational ambidexterity. Therefore, from the perspective of BISE research, the future of work poses questions about the interplay of people and machines, as Lehrer et al. (2018) outlined in their work on digital service innovation. In this discussion, we differentiate between the social intensity and the technical intensity of work and define four basic types of work systems. |
doi_str_mv | 10.1007/s12599-018-0544-2 |
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For example, blockchain and smart contracts can automate large parts of the supply chain (Mendling et al. 2018), and machine learning now facilitates automation in business areas that were once too unstructured for automation (Willcocks et al. 2015). In such settings, people are likely to contribute to work systems by means of creative work and exploration (as opposed to exploitation), a distinction that O’Reilly and Tushman (2013) referred to as organizational ambidexterity. Therefore, from the perspective of BISE research, the future of work poses questions about the interplay of people and machines, as Lehrer et al. (2018) outlined in their work on digital service innovation. 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For example, blockchain and smart contracts can automate large parts of the supply chain (Mendling et al. 2018), and machine learning now facilitates automation in business areas that were once too unstructured for automation (Willcocks et al. 2015). In such settings, people are likely to contribute to work systems by means of creative work and exploration (as opposed to exploitation), a distinction that O’Reilly and Tushman (2013) referred to as organizational ambidexterity. Therefore, from the perspective of BISE research, the future of work poses questions about the interplay of people and machines, as Lehrer et al. (2018) outlined in their work on digital service innovation. In this discussion, we differentiate between the social intensity and the technical intensity of work and define four basic types of work systems.</abstract><cop>Wiesbaden</cop><pub>Springer Fachmedien Wiesbaden</pub><doi>10.1007/s12599-018-0544-2</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Artificial intelligence Automation Blockchain Business and Management Discussion Information management IT in Business Organization theory Security |
title | Future Work and Enterprise Systems |
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