Predicting job offer acceptance of professionals in Taiwan: The case of the technology industry

doi:10.1016/j.techfore.2016.05.005

機構典藏 > College of Business and Management > Graduate Institute & Department of International Business > Journal Article > Item 987654321/108299

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/108299

Title:	Predicting job offer acceptance of professionals in Taiwan: The case of the technology industry
Authors:	Yuan-Hui Tsai;Chieh-Peng Lin;Ya-Chu Hsu;Chu-Mei Liu;Pi-Hsia Yen
Keywords:	Technology industry;Professional workforce;Corporate social responsibility;Job offer acceptance;Career success expectation;Attractiveness
Date:	2016-05-17
Issue Date:	2016-11-23 02:10:36 (UTC+8)
Publisher:	Elsevier Inc.
Abstract:	Corporate social responsibility (CSR) is defined as a firm's behavior that goes beyond its economic interest to benefit stakeholders and is a critical factor for business organizations to implement in order to successfully increase the job offer acceptance of job applicants. This research examines such job offer acceptance by developing a model based on the social signaling theory and expectancy theory. The hypotheses of this research were empirically tested using the data from professional job applicants at three well-known career fairs for the high-tech industry in Taiwan. The test results show that business practice CSR engagement and recruitment procedural justice positively affect both career success expectation and a firm's attractiveness, which consequently influence job offer acceptance. At the same time, due to its insignificant effect on career success expectation, philanthropic CSR engagement only has a significant impact on a firm's attractiveness. The findings of this research complement prior studies by presenting how business practice CSR engagement, philanthropic CSR engagement, and recruitment procedural justice should be simultaneously taken into account to boost job offer acceptance. Lastly, managerial implications and limitations are provided.
Relation:	Technological Forecasting & Social Change 108, p.95-101
DOI:	10.1016/j.techfore.2016.05.005
Appears in Collections:	[Graduate Institute & Department of International Business] Journal Article

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