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Employees Behavioral Intention towards Digital Talent Skills: A Proposed Research Agenda on Big Data Analytics in Transportation
Waqas Ahmed (a), Sheikh Muhamad Hizam (a*), Habiba Akter (a), Ilham Sentosa (a)

a) UniKL Business School (UBIS), Universiti of Kuala Lumpur (UniKL), Kuala Lumpur, Malaysia
*sheikhmhizam[at]unikl.edu.my


Abstract

Big data analytics stimulates the predictive analysis and strategic decision making to attain the organizational goals. Without comprehension of individuals- mindset towards the implementation, the technology can be muffed to lose its value. Proper adoption of system based on digital talent skills requires employees- enablement level. Aim of this study is to theorize the factors towards acceptance of BDA from employee-s perspective. This research takes Big Data analytics adoption as study context and applies the Technology Acceptance Model (TAM) as theoretical foundation. This paper assesses the BDA acceptance related studies and tenacity the vital concepts with TAM model towards employees- acceptance of information system at workplace. Big data dimensions, organizational dexterity, Task-Technology fit (TTF) and self-efficacy are appeared to be the fortifying element in this study as external constructs with TAM. The theoretical model is projected to well elucidate the intended approach of employees to deal the Big Data Analytics. This conceptual study will facilitate the literature by casting the light on individual level technology change apprehensions and stipulates the thoughtful to organizations also in order to well tech-equipped their workforce.

Keywords: Big Data Analytics, Technology Acceptance Model (TAM), Digital Skills, Digital Dexterity, Task-Technology Fit (TTF)

Topic: Digital Talent Management

Link: https://ifory.id/abstract/mZgvDcndAzLx

Conference: Conference on Managing Digital Industry, Technology, and Entrepreneurship (CoMDITE 2019)

Plain Format | Corresponding Author (Waqas Ahmed)

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