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The article in the issue 11:2:
The date of the publication:
2022-06-27
The number of pages:
51
The issue:
11:2
Commentaries:
0
The Authors
Jakub Bożydar Wiśniewski, Walter Block, Sulaimon Olanrewaju Adebiyi, Gloria Amaka Olayemi, Howard Wettstein, Andrew Schumann,
Dr. Sulaimon Olanrewaju Adebiyi is a Faculty in the Department of Business Administration, University of Lagos, Nigeria. He graduated with B. Sc. (Hons) Second Class Upper Division in Business Administration from Olabisi Onabanjo University, Ago - Iwoye, bagged his M. Sc. in Operations Research from the University of Lagos. He equally holds a Master of Business Administration (MBA) with distinction from Obafemi Awolowo University, Ile-Ife, and was awarded a Doctor of Philosophy degree (Ph. D) in Business Administration from the University of Lagos. He had worked with three different Universities in Nigeria before his present appointment (Fountain University, Osogbo; Federal University of Agriculture, Abeokuta and Olabisi Onabanjo University, Ago-Iwoye). His research philosophy is that of achieving the best possible results in any given circumstances using scientific methods to analyze business operations. He has published in reputable journals both local and international.
Contact Details:
Tel: +234 803 3682 722 E-mail: soadebiyi@unilag.edu.ng; lanre18april@gmail.com
Gloria Amaka Olayemi holds an M. Sc. degree in Operations Research from the University of Lagos and a B. Sc. (Hons) in Business Administration with distinction from Adeleke University. She is currently a Technology Consultant at Ernest and Young, Nigeria. Her interests are Business Analysis, Data Privacy, Cyber Security, and Business and Technology strategy.
ARTICLE:
Predicting the Consequences of Perceived Data Privacy Risks on Consumer Behaviour: An Entropy-TOPSIS Approach
Advancement in internet of things (IoT) and proliferation in the use of smart devices have raised concerns about the data privacy of online users. This study predicts the consequences of perceived data privacy risks on consumer behaviours in Lagos State, Nigeria using the integrated Entropy-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). We employed Entropy to assign weights to each criterion. Subsequently, responses were systematically ranked to arrive at an inference using TOPSIS. 84.8% agree that any perceived cyber security threat or a breach in their data privacy would stop them from proceeding with the transaction or activity online, or the use of a digital product. Similarly, (86.7%), agree it is critical that online businesses only ask for customer information that is relevant to the use of the product or service. Thus, the findings indicate that the privacy paradox of enlightened online consumers tends to diminish when they are faced with perceived data privacy and cybersecurity risks.
