An extended technology acceptance model for evaluating factors affecting manufacturing industry sme decision makers adoption of erp systems

Date

2019

Author

Arpacı, Mustafa Ce

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Today`s business environment cannot be considered without the existence of information technology. enterprise resource planning (ERP) systems are the information backbone of modern organizations. The purpose of this study is to qualitatively study the factors affecting ERP adoption by small and medium sized enterprise (SME) decision makers in Turkish manufacturing industry. Qualitative approach provided a content rich method allowing to identify and discuss the factors affecting ERP adoption decision by owners and executives of manufacturing industry SMEs. This study differs from previous ones by focusing on the adoption behavior of SME owners and executives. Technology adopted by SME owners and executives affect the entire organization. Yet technology adoption behavior is primarily investigated at organizational level and decision makers perspective to technology adoption in SME’s stayed as an understudied phenomenon. The study followed three-pronged approach. Firstly, a literature review is conducted to identify the factors affecting SME adoption of technology and the findings are summarized in a tabular format. Secondly, by considering the context of SME owners and executives’ factors that might influence the adoption of ERP systems are identified. Thirdly, based on the analysis of the semi-constructed interviews an extended technology acceptance model is proposed. Understanding the factors affecting the adoption of ERP systems by decision makers in Turkish manufacturing industry SMEs also enabled to develop recommendations that would help to increase the adoption of these systems. Thus, greatly contributed to the relevance and practical implication of scientific work.

Subject Keywords

Manufacturing industries., Technology Adoption, Small and Medium Size Enterprise (SME), Technology Acceptance Model (TAM), Enterprise Resource Planning System (ERP), Qualitative Research.

URI

http://etd.lib.metu.edu.tr/upload/12623311/index.pdf
https://hdl.handle.net/11511/43645

Collections

Graduate School of Social Sciences, Thesis