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This book sets out to provide postgraduate researchers with guidance on selecting and applying socio-technical theories to the study of information systems, including how they can be combined to complement each other.
This book sets out to provide postgraduate researchers with guidance on selecting and applying socio-technical theories to the study of information systems, including how they can be combined to complement each other.
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Autorenporträt
Tiko Iyamu holds a PhD in information systems from the University of Cape Town, South Africa. Currently, Iyamu is Research Professor at the Faculty of Informatics and Design, Cape Peninsula University of Technology (CPUT), Cape Town, South Africa. Previously, he was with the Tshwane University of Technology, South Africa, and Namibia University of Science and Technology, Namibia. Iyamu served as a Professor Extraordinaire at the Department of Computer Science, University of the Western Cape, from 2006 to 2015. In 2014, he was a visiting professor at the Flensburg University of Applied Sciences, Germany. Professor Iyamu's areas of focus include enterprise architecture, health informatics, big data analytics, mobile computing, and the application of sociotechnical theories for information systems research. He has authored 5 books and over 140 peer-reviewed research articles in journals, conference proceedings, and book chapters.
Inhaltsangabe
1 Introduction 2 Types and sources of qualitative data 3 Qualitative data for information systems research 4 Activity theory 5 Actor-network theory 6 Contingency theory 7 Diffusion of innovation 8 Structuration theory 9 Technology acceptance model 10 Selecting theories to underpin information systems research 11 Activity theory and actor-network theory 12 Structuration theory and actor-network theory
1 Introduction; 2 Types and sources of qualitative data; 3 Qualitative data for information systems research; 4 Activity theory; 5 Actor-network theory; 6 Contingency theory; 7 Diffusion of innovation; 8 Structuration theory; 9 Technology acceptance model; 10 Selecting theories to underpin information systems research; 11 Activity theory and actor-network theory; 12 Structuration theory and actor-network theory
1 Introduction 2 Types and sources of qualitative data 3 Qualitative data for information systems research 4 Activity theory 5 Actor-network theory 6 Contingency theory 7 Diffusion of innovation 8 Structuration theory 9 Technology acceptance model 10 Selecting theories to underpin information systems research 11 Activity theory and actor-network theory 12 Structuration theory and actor-network theory
1 Introduction; 2 Types and sources of qualitative data; 3 Qualitative data for information systems research; 4 Activity theory; 5 Actor-network theory; 6 Contingency theory; 7 Diffusion of innovation; 8 Structuration theory; 9 Technology acceptance model; 10 Selecting theories to underpin information systems research; 11 Activity theory and actor-network theory; 12 Structuration theory and actor-network theory
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