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Structural and process dimension in innovation orientation

In: Innovation Orientation in Business Services

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Abstract

To initiate and stimulate innovation in business services requires a good understanding of the processes that operate within an organisation. The discussion of four predominant theories related to innovation research begins this chapter, namely ambidextrous theory, contingency theory, dual-core and resource-based theory. The authors point out how these theories and structure’s attributes are related to the study of the innovation process. The innovation orientation must emphasise characteristics of an organisational structure such as professionalism and specialisation. In this chapter, authors discuss the leading role of flexible organisation concepts including adhocracy, ambidextrous and hypertext (including virtual) organisations. Noteworthy throughout the discussion is also the concept of dynamic capabilities involving innovation that generates current knowledge and novel services. Modern business services seem to benefit from implementing service design principles - in particular design thinking. This chapter addresses the most important issues related to the structural and process dimension in innovation orientation.

Suggested Citation

  • ., 2021. "Structural and process dimension in innovation orientation," Chapters, in: Innovation Orientation in Business Services, chapter 6, pages 90-108, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:19897_6
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    1. Aryanpur, Vahid & Balyk, Olexandr & Daly, Hannah & Ó Gallachóir, Brian & Glynn, James, 2022. "Decarbonisation of passenger light-duty vehicles using spatially resolved TIMES-Ireland Model," Applied Energy, Elsevier, vol. 316(C).
    2. Wang, Yachao & Wen, Yi & Zhu, Qinggong & Luo, Jiaxin & Yang, Zhengjun & Su, Sheng & Wang, Xin & Hao, Lijun & Tan, Jianwei & Yin, Hang & Ge, Yunshan, 2022. "Real driving energy consumption and CO2 & pollutant emission characteristics of a parallel plug-in hybrid electric vehicle under different propulsion modes," Energy, Elsevier, vol. 244(PB).
    3. Chia-Nan Wang & Tran Quynh Le & Ching-Hua Yu & Hsiao-Chi Ling & Thanh-Tuan Dang, 2022. "Strategic Environmental Assessment of Land Transportation: An Application of DEA with Undesirable Output Approach," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    4. Juhlin, Rasmus & Assadi, Mohsen, 2023. "Investigations of the thermodynamic efficiency limits of a novel subsea energy storage concept," Applied Energy, Elsevier, vol. 330(PA).
    5. Liu, Yu & Liu, Congxiao & Ling, Qicheng & Zhao, Xin & Gao, Shan & Huang, Xueliang, 2021. "Toward smart distributed renewable generation via multi-uncertainty featured non-intrusive interactive energy monitoring," Applied Energy, Elsevier, vol. 303(C).

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