EXOGENOUS & ENDOGENOUS FACTORS INFLUENCING THE ACCEPTANCE OF SMARTPHONE RECRUITMENT APPLICATION: A CONCEPTUAL MODEL

B. Fuzail Ahmed, J. Khaja Sheriff

Abstract


Attracting potential talents, converting them as potential candidates and retaining them as successful workforce, are great deals for Human Resource Department. Online recruiting options offered significant tools to face the challenge. Companies used to recruit through their own websites, resume banks, career sites and job boards. These tools did not work out as expected. Thanks to smart phones and internet connectivity, mobile applications have become part and parcel of the people, particularly the youngsters. Recruitment through the app increases firms' competitive advantage through increased efficiency and economy. The purpose of this study is to review the various factors that influence the users to adopt smart phone applications, explore the exogenous and endogenous latent variables and propose a Conceptual Model. Conceptual model has been made after extensive literature survey on conventional TAM and UTAUT models. The exogenous latent variables include the independent variables, namely, individual factors, technical factors, organizational factors and social factors. The endogenous latent variables include the dependent variables, namely, performance expectancy, effort expectancy, aesthetics and trust. These factors influence the behavioural intention leading to technology adoption. Focusing present job seekers and job trends, a conceptual model has been proposed that should be empirically studied.

Keywords


Recruitment, TAM, UTAUT, Exogenous latent variables, Endogenous latent Variables, Human Resource Management.

References


Ahmed S, Tahir H, and Warsi SW. (2015). "E -Recruitment Transforming the Dimensions of Online Job Seeking: A case of Pakistan", International Journal of Human Resource Studies, Vol.5(1), pp.96-99.

Coeckelbergh M. (2012). "Technology as Skill and Activity", Techné: Research in Philosophy and Technology, Vol.16(3), pp.208–230.

Dishaw MT, and Strong DM. (1999). "Extending the technology acceptance model with task-technology fit constructs", Information and Management, Vol.36(1), pp.9–21.

Eckhardt A, Laumer S, and Weitzel T. (2009). "Who influence Whom? Analyzing Workplace Referents’ Social Infleunce on IT Adoption and Non-Adoption”, Journal of Information Technology, Vol.24, pp.11-24.

Karim MR, Miah S, and Khatun A. (2015). "E-Recruitment in Practice: A Study on Jobseekers’ Perception in Bangladesh", Global Disclosure of Economics snd Business, Vol.4(1), pp.33-42.

Kim SC, and Yoon D. (2011). “Antecedents of Mobile App Usage Among Smartphone Users,” American Academy of Advertising, pp.72-84, Proceedings of the conference - American Academy of Advertising -cd-rom edition.

Laumer S, Eckhardt A, and Weitzel T. (2010). "Electronic Human Resources Management in an E-Business Environment", Journal of Electronic Commerce Research, Vol.11, pp. 240–250.

Malik A, Suresh S, and Sharma S. (2017). "Factors influencing consumers’ attitude towards adoption and continuous use of mobile applications: A conceptual model", Procedia Computer Science, Vol.122, pp.106–113.

Moghaddam HA, Rezaei S, and Amin M. (2015). "Examining job seekers’ perception and behavioural intention toward online recruitment: a PLS path modelling approach" Journal for Global Business Advancement, Vol.8(3), pp.305-308.

Niklas SJ, and Böhm S. (2011). "Applying mobile technologies for personnel recruiting – an analysis of user - sided acceptance factors", International Journal of e-Business and e-Government Studies, Vol. 3(1), pp.169–178.

Ramasamy V, and Raman A. (2014). "Recruitment in the social media age: An exploratory study". Eurasia Business Research Conference, June, pp.1–13.

Venkatesh V, Morris MG, Davis GB, and Davis FD. (2003). "User Acceptance of Information Technology : Toward a Unified View", MIS Quarterly, Vol.273, pp.425–478.

Venkatesh V, and Bala H. (2008). "Technology Acceptance Model 3 and a Research Agenda on Interventions", Decision Science, Vol.39(2), pp. 273-315.

Venkatesh V. (2012). “Consumer Acceptance and use of Information Technology: Extending the Unified Theory of Acceptance and use of Technology”, MIS Quarterly, Vol. 36(1), pp. 157–178.

Xia M, Zhang Y, and Zhang C. (2016). "A TAM-based approach to explore the effect of online experience on destination image: A smartphone user’s perspective", Journal of Destination Marketing and Management, Vol.January, pp.1–12.


Refbacks

  • There are currently no refbacks.


Send mail to ijmss@ijmss.com with questions or comments about this web site. 

International Journal of Management and Social Sciences, All rights reserved.