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Arabian Journal of Business and Management Review

ISSN: 2223-5833

Open Access

A Perceptioanl Study on the Association of Technology and Workers Performance

Abstract

Amoah-Binfoh Kenneth, Ponniah VM, Joe Sarprasatha and Priscilla Bempah Botwe

The world is moving from traditional analytics to ‘predictive analytics and now increasingly towards prescriptive analytics, where the decisions are driven by predictive models using business rules engines to help the companies to decide the next best decision. Technology increasingly affects virtually every aspect of work, has been hailed as one of the most important developments in recent history. A motivated employee is a valuable asset which delivers huge value to the organization in maintaining and strengthening its business activities. Performance which leads to growth has unprecedented challenges which can be best defined by internal and external environmental factors in which technology is the key needed attention. Maintaining workers participation is one of the biggest challenges facing businesses irrespective of salaries and benefits, creating a working environment where workers are motivated and engaged; and are supported to develop themselves technologically. However, this paper focuses on the impact of technology on workers performance, also the major challenges of technology on workers performance and to examine the major factors that motivates workers. A structured questionnaires and interviews were constructed to provide answers to the research questions and a sample size of 60, employees. It was found out that technology facilitates effective communication, satisfactorily result and just-in-time delivery. It was also found out that workers were comfortable with the software provided by the company. It was however observed that most of the systems they work with experienced interruptions and vulnerabilities. Social media, mobile platform, analytics and cloud computing should be explained well to workers, as enablers to the next generation of technological thinkers.

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Citations: 5479

Arabian Journal of Business and Management Review received 5479 citations as per Google Scholar report

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