Business Process Crowdsourcing - Concept, Ontology and Decision Support

von: Nguyen Hoang Thuan

Springer-Verlag, 2018

ISBN: 9783319913919 , 142 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

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Preis: 53,49 EUR

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Business Process Crowdsourcing - Concept, Ontology and Decision Support


 

This book conceptualises and develops crowdsourcing as an organisational business process. It argues that although for many organisations crowdsourcing still implies an immature one-off endeavour, when developed to a more repeatable business process it can harness innovation and agility. The book offers a process model to guide organisations towards the establishment of business process crowdsourcing (BPC), and empirically showcases and evaluates the model using two current major crowdsourcing projects. In order to consolidate the domain knowledge, the BPC model is turned into a heavyweight ontology capturing the concepts, hierarchical relationships and decision-making relationships necessary to establish crowdsourcing as a business process in an organisation. Lastly, based on the ontology it presents a decision tool that provides advice on making informed decisions about the performance of business process crowdsourcing activities. 

Nguyen Hoang Thuan is Head of Software Engineering Department at Faculty of Information Technology, Can Tho University of Technology, Vietnam. He has a Ph.D. in Information Systems from Victoria University of Wellington, New Zealand. His dissertation won the Dean's award for Doctoral Achievement in Information Systems, and the 2017 PHIS-NZ Information Systems Doctoral Thesis Award. Thuan has published articles in Information Systems Frontiers, Australasian Journal of Information Systems, Group Decision and Negotiation, and several international refereed conferences, including Pacific Asia Conference on Information Systems (PACIS), Australasian Conference on Information Systems (ACIS), IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), and other conferences. Thuan's research interests are crowdsourcing, information modelling, and design science.