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An Investigation of the Effects of Organizational Readiness on Technology Acceptance in e-HRM Applications
Author(s) -
Murat Esen,
Gönül Kaya Özbağ
Publication year - 2014
Publication title -
international journal of human resource studies
Language(s) - English
Resource type - Journals
ISSN - 2162-3058
DOI - 10.5296/ijhrs.v4i1.5643
Subject(s) - technology acceptance model , psychology , usability , knowledge management , organizational commitment , affect (linguistics) , perceived organizational support , scale (ratio) , information technology , human resource management , business , social psychology , computer science , physics , communication , human–computer interaction , quantum mechanics , operating system
The primary objective of this study is to investigate the effects of level of readiness to electronic human resource management (e-HRM) applications of enterprises to perceived usefulness, perceived ease of use and behavioral intention which are placed among the basic variables of Technology Acceptance Model. In the study, the readiness to e-HRM applications of enterprises is examined in five dimensions. These are Perceived Organizational Resources (POR), Perceived Organizational Support (POS), Organizational Information Policy (OIP), Perceived Organizational Innovativeness (POI) and Perceived Employee Technical Competency (PETC). The data of this survey were gathered from the enterprises which are placed among the first 500 industrial enterprises in Turkey prepared by Istanbul Chamber of Industry in 2009. The questionnaire was filled out by the directors or managers who have decisive positions in these enterprises. The questionnaire was prepared by taking the advantages of various studies (Udo et al., 2006; Prajogo and Ahmed, 2006; Alegre and Chiva, 2008; Hansen and Birkinshaw, 2007) for the sub dimensions of Organizational Readiness and for technology acceptance scale questions Davis’ Technology Acceptance Model is used. The data is analyzed by SPSS 18. At the end of the survey, it was found that Organizational Readiness variables positively affect e-HRM applications such as perceived usefulness, ease of use and behavioral intention to use.

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