Affiliations: [a] Department of Logistics and Supply Chain Management, SP Jain School of Global Management, Singapore
| [b]
SP Jain School of Global Management, Singapore
| [c] Department of Accounting, Logistics and Manufacturing, SP Jain School of Global Management, Singapore
| [d] Department of HRM, SP Jain School of Global Management, Singapore
| [e]
Symbiosis International University, Pune, India
Correspondence:
[*]
Corresponding author: Dr. Rajiv Aserkar, Head of Logistics and Supply Chain Management, SP Jain School of Global Management, Singapore. E-mail: [email protected].
Abstract: Earlier studies on personal data protection (PDP) have focused on the laws that were passed by the stakeholders or the techniques to mask private data through qualitative analysis and quantitative research or both. There is very little if not there has been no literature written on the impact of personal data protection (PDP) regulations on operational workflow of organizations. This study aims to identify the independent variables of personal data protection (PDP) regulations that impacts operational workflow. The result of the study shows that technology, regulation, types of processes, implementation and company policy impact the operational workflow of organizations in the form of enhanced security, better-quality project deployment, tightly monitored data collection, disclosure and use of data, well-informed employees and solid company policies. These can very well translate to improvement of an organization’s operational workflow.
Keywords: Personal data, data protection, big data, privacy, technology, regulation, process, company policy
