Information Integrity and Business Sustainability of Mobile Telecommunication Firms in Kenya
Abstract
The growth and sustainability of any business enterprise require that organisations get more contacts and information regarding their business processes into their database. However, having poor quality data can risk the firm frustrating its leads with inaccurate messaging and delivering bad experiences, which may end up discouraging customers from consuming the organisation’s products, thus affecting the profitability and sustainability of the firm. From this background, the current paper sought to examine the influence of information integrity on the business sustainability of mobile telecommunication firms in Kenya. The paper was theoretically underpinned by the Unified Theory of Acceptance and Use of Technology. The target population was drawn from three mobile telecommunication firms with an accessible population of 1,177 employees. The study relied on stratified random sampling techniques to select 299 respondents. Primary data was obtained through a semi-structured questionnaire. Data were analysed by the use of descriptive and inferential analysis methods. The results revealed a significant positive relationship between information integrity and the sustainability of mobile telecommunication firms in Kenya. The study concluded that information integrity influenced the sustainability of mobile telecommunication firms in Kenya
Downloads
References
Afonso, C. M., Roldán Salgueiro, J. L., Sánchez Franco, M. J., & González, M. D. L. O. (2012). The moderator role of gender in the Unified Theory of Acceptance and Use of Technology (UTAUT): A study on users of Electronic Document Management Systems.
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approach. Sage publications.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
Ghauri, P. N. (2018). Multinational enterprises and sustainable development in emerging markets. In Global Phenomena and Social Sciences (pp. 21-36). Springer, Cham.
Hamband, D., & Jacobs, F. (2016). “Development of analytics into healthcare safety net: Lesson. Learned”. Online journal of public health informatics, 8(3).
Hartanto, G. B. (2019). Effect of Knowledge Management and Integrity on Organizational Performance through Organizational Commitment Pt. Bhinneka Mentari Dimensi.
Kamau, M. K., Namiinda, B., & Buluma, F. (2016). Effects of system integrity in credit information sharing on the management of credit risk in commercial banks in Nakuru town, Kenya. IOSR Journal of Business and Management, 18(2), 52-57.
Kim, S., Lee, K. H., Hwang, H., & Yoo, S. (2016). Analysis of the factors influencing healthcare professionals’ adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital. BMC medical informatics and decision making, 16(1), 1-12.
Mosweu, O., Bwalya, K. J., & Mutshewa, A. (2017). A probe into the factors for adoption and usage of electronic document and records management systems in the Botswana context. Information development, 33(1), 97-110.
Msigwa, B. B. (2018). Data integrity risk assessment of local government revenue collection information system in Tanzania (Doctoral dissertation, The University of Dodoma).
Mugenda, A. G., & Mugenda, A. (2013). Qualitative research methods. Applied Research and Training Services. Nairobi, Kenya.
Ratnajeewa, D. R., & Hewage, D. (2015). Exploring Sustainability Management for the Telecommunication Industry: A Case Study of the Sri Lankan Mobile Telecommunication Industry. Proceedings of 8th International Research Conference, KDU
Sayogo, D. S., Zhang, J., Luna-Reyes, L., Jarman, H., Tayi, G., Andersen, D. L., ... & Andersen, D. F. (2015). Challenges and requirements for developing data architecture supporting integration of sustainable supply chains. Information Technology and Management, 16(1), 5-18.
Sezer, B., & Yilmaz, R. (2019). Learning management system acceptance scale (LMSAS): A validity and reliability study. Australasian Journal of Educational Technology, 35(3).
Shen, W., Qin, J., Yu, J., Hao, R., & Hu, J. (2018). Enabling identity-based integrity auditing and data sharing with sensitive information hiding for secure cloud storage. IEEE Transactions on Information Forensics and Security, 14(2), 331-346.
Svensson, G., Høgevold, N. M., Petzer, D., Padin, C., Ferro, C., Klopper, H. B., ... & Wagner, B. (2016). Framing stakeholder considerations and business sustainability efforts: a construct, its dimensions and items. Journal of Business & Industrial Marketing.
Thulare, T., Herselman, M., & Botha, A. (2020). A scoping review on identifying aspects of data integrity in health information systems for South Africa. In 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) (1-8). IEEE.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
Vodafone. (2019). Sustainable development report. Retrieved May 21, 2016, from http://www.vodafone.gr/portal/resources/media/Vodafone_Elladas/Etairikh_Ypeythinotita/Vodafone%20annual_GR2019_final_low_lc.pdf.
Yamane, Taro. 1967. Statistics, An Introductory Analysis, 2nd Ed., New York: Harper and Row
Zhou, L., Fu, A., Yu, S., Su, M., & Kuang, B. (2018) Data integrity verification of the outsourced big data in the cloud environment: A survey. Journal of Network and Computer Applications, 122, 1-15.
Copyright (c) 2022 Joy Kibor, Morrisson Mutuku, PhD, Joshua Tumuti, PhD
This work is licensed under a Creative Commons Attribution 4.0 International License.
