Abstract
Job seekers and businesses are relying increasingly on social media recruitment. A more comprehensive understanding of social media usage behaviors in job search can enhance both job search and recruitment processes. This study develops a theoretical framework based on the technology acceptance model (TAM) and draws upon social exchange theory (SET) and uses and gratifications theory (UGT) to derive and validate the antecedent constructs of job-seeking behavior. Qualitative data was collected using depth interviews with 23 job seekers, from 3 metro cities in India. Respondents, selected via purposive sampling method, were interviewed in person (12) and online (11), post-assurance of privacy. Thematic analysis using Lincoln and Guba (Naturalistic inquiry. Sage, 1985) guidelines was conducted to ensure trustworthy findings. Behavioral constructs having multi-disciplinary perspectives from both SET and UGT are shown to influence job search behavior with social media. Ten antecedent constructs, five each from SET and UGT, are validated as predictors of perceived usefulness, perceived ease of use, and intention to use social media for job search. Accordingly, a modified TAM framework is proposed. The study contributes toward enriching the extant literature on social media usage in job search.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adecco Group. (2020). Social recruiting a global study: https://www.adeccogroup.com/future-of-work/latest-insights/ (Jobs and social media—44% of recruiters reject candidates because of their digital reputation) (adeccogroup.com).
Ahlqvist, T., Bäck, A., Halonen, M., & Heinonen, S. (2008). Social media roadmaps. Edita Prima Oy.
Allen, N. J., & Meyer, J. P. (1990). The measurement and antecedents of affective, continuance and normative commitment to the organization. Journal of Occupational Psychology, 63(1), 1–18.
Bailey, M., Cao, R., Kuchler, T., Stroebel, J., & Wong, A. (2018). Social connectedness: Measurement, determinants, and effects. Journal of Economic Perspectives, 32(3), 259–280.
Bond, R. M., Fariss, C. J., Jones, J. J., Kramer, A. D., Marlow, C., Settle, J. E., & Fowler, J. H. (2012). A 61-million-person experiment in social influence and political mobilization. Nature, 489(7415), 295–298.
Bonds-Raacke, J., & Raacke, J. (2010). MySpace and Facebook: Identifying dimensions of uses and gratifications for friend networking sites. Individual Differences Research, 8(1), 27–33.
Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network analysis in the social sciences. Science, 323(5916), 892–895.
Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2–20.
Cappelli, P. (2019). Your Approach to Hiring Is All Wrong Outsourcing and algorithm won’t get you the people you need. Harvard Business Review, 97(3), 47–57.
Colquitt, J. A., LePine, J. A., Piccolo, R. F., Zapata, C. P., & Rich, B. L. (2012). Explaining the justice–performance relationship: Trust as exchange deepener or trust as uncertainty reducer? Journal of Applied Psychology, 97(1), 1–15.
Cropanzano, R., & Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of Management, 31(6), 874–900.
Cropanzano, R., Prehar, C. A., & Chen, P. Y. (2002). Using social exchange theory to distinguish procedural from interactional justice. Group & Organization Management, 27(3), 324–351.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of Applied Social Psychology, 22(14), 1111–1132.
Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human-Computer Studies, 45(1), 19–45.
Digital. (2020). October Global Statshot. DataReportal -Global Digital Insights. https://datareportal.com/reports/digital-2020-october-global-statshot
Eisenberger, R., Karagonlar, G., Stinglhamber, F., Neves, P., Becker, T. E., Gonzalez-Morales, M. G., & Steiger-Mueller, M. (2010). Leader–member exchange and affective organizational commitment: The contribution of supervisor’s organizational embodiment. Journal of Applied Psychology, 95(6), 1085–1103.
El Akremi, A., Vandenberghe, C., & Camerman, J. (2010). The role of justice and social exchange relationships in workplace deviance: Test of a mediated model. Human Relations, 63(11), 1687–1717.
Gerstner, C. R., & Day, D. V. (1997). Meta-analytic review of leader–member exchange theory: Correlates and construct issues. Journal of Applied Psychology, 82(6), 827–844.
Grieve, R., Indian, M., Witteveen, K., Tolan, G. A., & Marrington, J. (2013). Face-to-face or Facebook: Can social connectedness be derived online? Computers in Human Behavior, 29(3), 604–609.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006a). Multivariate data analysis 6th (ed.). Pearson Prentice Hall.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006b). Humans: Critique and reformulation. Journal of Abnormal Psychology, 87, 49–74. Pearson Prentice Hall.
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59–68.
Kemp, S. (2018). Digital in 2018: World’s internet users pass the 4 billion mark. We Are Social. Retrieved April 30, 2018, from https://wearesocial.com/blog/2018/01/global-digital-report-2018
Ko, H., Cho, C. H., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising. Journal of Advertising, 34(2), 57–70.
Koch, T., Gerber, C., & De Klerk, J. J. (2018). The impact of social media on recruitment: Are you LinkedIn? SA Journal of Human Resource Management, 16(1), 1–14.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage.
McAllister, D. J. (1995). Affect-and cognition-based trust as foundations for interpersonal cooperation in organizations. Academy of Management Journal, 38(1), 24–59.
McFarland, L. A., & Ployhart, R. E. (2015). Social media: A contextual framework to guide research and practice. Journal of Applied Psychology, 100(6), 1653.
Miller, W. L., & Crabtree, B. F. (1999). The dance of interpretation. Doing Qualitative Research, 2, 127–143.
Palmgreen, P., & Rayburn, J. D. (1979). Uses and gratifications and exposure to public television: A discrepancy approach. Communication Research, 6(2), 155–179.
Papacharissi, Z., & Rubin, A. M. (2000). Predictors of Internet use. Journal of Broadcasting & Electronic Media, 44(2), 175–196.
Raacke, J., & Bonds-Raacke, J. (2008). MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychology & Behavior, 11(2), 169–174.
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30.
Rousseau, D. M. (1990). New hire perceptions of their own and their employer’s obligations: A study of psychological contracts. Journal of Organizational Behavior, 11(5), 389–400.
Rubin, H. J., & Rubin, I. S. (2011). Qualitative interviewing: The art of hearing data. Sage.
Sandra, S., & Shalene, G. (2021). Retrieved from www.linkedin.com
Subbarao, N. V., Chhabra, B., & Mishra, M. (2022). Social media usage behavior in job search: Implications for corporate image and employer branding. In Managing disruptions in business (pp. 51–79). Palgrave Macmillan.
Suder, S. (2014). Pre-employment background checks on social networking sites-May your boss be watching. Masaryk UJL & Tech, 8, 123–136.
Van Esch, P., & Black, J. S. (2019). Factors that influence new generation candidates to engage with and complete digital AI-Enabled Recruiting. Business Horizons, 62(6), 729–739.
Van Hoye, G., Klehe, I. U., & van Hooft, E. A. J. (2013). Job search behavior as a multidimensional construct: A review of different job search behaviors and sources. In Oxford handbook of job loss and job search (pp. 259–274).
Valenzuela, S., Park, N., & Kee, K. F. (2009). Is there social capital in a social network site?: Facebook use and college students’ life satisfaction, trust, and participation. Journal of Computer-Mediated Communication, 14(4), 875–901.
Weaver Lariscy, R., Tinkham, S. F., & Sweetser, K. D. (2011). Kids these days: Examining differences in political uses and gratifications, internet political participation, political information efficacy, and cynicism on the basis of age. American Behavioral Scientist, 55(6), 749–764.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Subbarao, N.V., Chhabra, B., Mishra, M. (2022). Antecedents and Consequences of Social Media Usage Behavior in Job Search: A Qualitative Study Toward a Conceptual Framework. In: Rajagopal, Behl, R. (eds) Inclusive Businesses in Developing Economies. Palgrave Studies in Democracy, Innovation, and Entrepreneurship for Growth. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-12217-0_11
Download citation
DOI: https://doi.org/10.1007/978-3-031-12217-0_11
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-031-12216-3
Online ISBN: 978-3-031-12217-0
eBook Packages: Social SciencesSocial Sciences (R0)