• Fuzail Ahmed. B

Attracting talents, converting them as potential job applicants 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 smartphones 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 the study is to explore the exogenous and endogenous latent variables influencing the acceptance behavior, propose a Conceptual Model and empirically test the same using Structural Equaiton Modelling Technique. This paper provides a new outline for the evaluation of smartphone recruitment application. The model has been framed to overcome the gap in the pre-existing conventional model like, TAM, TAM2, TAM3, UTAUT, UTAUT2. While most of these models focus on “customers” as end users, the researcher has framed this model focusing “job seekers” as end users. The findings suggest that the degree of Career App Usage by the Job Seeking Adults is highly influenced by the App Usage Habit, Social Influence and Extensive(Active) Job Search.

Recruitment, Online, Electronic, Mobile, Smartphone, Application, App, Empirical Study, TAM, UTAUT, Exogenous latent variables, Endogenous latent Variables, Human Resource Management, Information System.

"Measuring the Acceptance Behavior of Recruitment Apps: Structural Equation Modeling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.244-252, January-2019, Available :http://www.jetir.org/papers/JETIR1901131.pdf

"Measuring the Acceptance Behavior of Recruitment Apps: Structural Equation Modeling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp244-252, January-2019, Available at : http://www.jetir.org/papers/JETIR1901131.pdf