Spaza Shops in Townships and Rural Areas to Switch to Electronic Payment Method to Run the Business Successfully and Safe: Case Study Mkhuhlu Township, Bushbuckridge Municipality, Mpumalanga In South Africa

Authors

  • Hluphi Constance Mafuwane University of Technology Business school.
  • Prof Mammo Muchie University of Technology Business school.
  • Lohith Paripati Independent Researcher, USA.
  • Pandi Kirupa Gopalakrishna Pandian Independent Researcher, USA.

DOI:

https://doi.org/10.36676/irt.v9.i5.1430

Keywords:

SMME, Technology, spaza, language, Mpumalanga

Abstract

The purpose of this study was to investigate whether spaza shop (tuck shop) owners in South Africa utilise mobile communication technologies. Secondly, it evaluated opportunities created using mobile communication. Interviews were conducted with 110 small, micro- and medium enterprises (SMMEs) operating spaza business shops in Mkhuhlu and Calcutta in the Bushbuckridge Municipality in Mpumalanga. Police officers, residents of South Africa, Somalians and Indians were interviewed. Data were collected through self-completion questionnaires. Interviews were conducted in English as most of the races did not understand an African language. Findings more technical and Technological skills are needed for the township business owners. Safety and security must support SMMEs in townships by protecting their owners and their resources against criminals.

References

Asah, F., Fatoki, O.O. and Rungani, E., 2015. The impact of motivations, personal values and management skills on the performance of SMEs in South Africa. African Journal of Economic and Management Studies.

Basardien, F., Parker, H., Bayat, M., Friedrich, C. and Appoles, S., 2014. Entrepreneurial orientation of spaza shop entrepreneurs evidence from a study of South African and Somali owned spaza shop entrepreneurs in Khayelitsha. Singaporean Journal of Business Economics and Management Studies, 2(10), pp.45-61.

Bernal, L.D.P. and Cusi, M.L.A., 2020. A case study of the application of big data in entrepreneurship. In Global Entrepreneurship Analytics (pp. 60-75). Routledge.

Cant, M.C. and Wiid, J.A., 2013. Establishing the challenges affecting South African SMEs. International Business & Economics Research Journal (IBER), 12(6), pp.707-716.

Franco, M. and Haase, H., 2010. Failure factors in small and medium-sized enterprises: qualitative study from an attributional perspective. International Entrepreneurship and Management Journal, 6(4), pp.503-521

Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E., 2013. Multivariate Data Analysis. Always Learning.

Kelley, D., Singer, S. and Herrington, M., 2015. 2016 global report. GEM Global Entrepreneurship Monitor, Babson College, Universidad del Desarrollo, Universiti Tun Abdul Razak, Tecnológico de Monterrey, International Council for Small Business (ICSB), Wellesley, MA.

Kaur, Jagbir. "Streaming Data Analytics: Challenges and Opportunities." International Journal of Applied Engineering & Technology, vol. 5, no. S4, July-August 2023, pp. 10-16.https://romanpub.com/resources/ijaetv5-s4-july-aug-2023-2.pdf

Pandi Kirupa Kumari Gopalakrishna Pandian, Satyanarayan kanungo, J. K. A. C. P. K. C. (2022). Ethical Considerations in Ai and Ml: Bias Detection and Mitigation Strategies. International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 248–253. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/10511

Ashok : "Ashok Choppadandi, Jagbir Kaur, Pradeep Kumar Chenchala, Akshay Agarwal, Varun Nakra, Pandi Kirupa Gopalakrishna Pandian, 2021. "Anomaly Detection in Cybersecurity: Leveraging Machine Learning Algorithms" ESP Journal of Engineering & Technology Advancements 1(2): 34-41.")

Kaur, J. (2021). Big Data Visualization Techniques for Decision Support Systems. Jishu/Journal of Propulsion Technology, 42(4). https://propulsiontechjournal.com/index.php/journal/article/view/5701

Ashok : "Choppadandi, A., Kaur, J.,Chenchala, P. K., Nakra, V., & Pandian, P. K. K. G. (2020). Automating ERP Applications for Taxation Compliance using Machine Learning at SAP Labs. International Journal of Computer Science and Mobile Computing, 9(12), 103-112. https://doi.org/10.47760/ijcsmc.2020.v09i12.014

Chenchala, P. K., Choppadandi, A., Kaur, J., Nakra, V., & Pandian, P. K. G. (2020). Predictive Maintenance and Resource Optimization in Inventory Identification Tool Using ML. International Journal of Open Publication and Exploration, 8(2), 43-50. https://ijope.com/index.php/home/article/view/127

Kaur, J., Choppadandi, A., Chenchala, P. K., Nakra, V., & Pandian, P. K. G. (2019). AI Applications in Smart Cities: Experiences from Deploying ML Algorithms for Urban Planning and Resource Optimization. Tuijin Jishu/Journal of Propulsion Technology, 40(4), 50-56.

Case Studies on Improving User Interaction and Satisfaction using AI-Enabled Chatbots for Customer Service . (2019). International Journal of Transcontinental Discoveries, ISSN: 3006-628X, 6(1), 29-34. https://internatioHappy Guru Purnima sir charan sparsh aljournals.org/index.php/ijtd/article/view/98

Kaur, J., Choppadandi, A., Chenchala, P. K., Nakra, V., & Pandian, P. K. G. (2019). Case Studies on Improving User Interaction and Satisfaction using AI-Enabled Chatbots for Customer Service. International Journal

of Transcontinental Discoveries, 6(1), 29-34. https://internationaljournals.org/index.php/ijtd/article/view/98

Choppadandi, A., Kaur, J., Chenchala, P. K., Kanungo, S., & Pandian, P. K. K. G. (2019). AI-Driven Customer Relationship Management in PK Salon Management System. International Journal of Open Publication and Exploration, 7(2), 28-35. https://ijope.com/index.php/home/article/view/128

Ashok Choppadandi, Jagbir Kaur, Pradeep Kumar Chenchala, Akshay Agarwal, Varun Nakra, Pandi Kirupa Gopalakrishna Pandian, 2021. "Anomaly Detection in Cybersecurity: Leveraging Machine Learning Algorithms" ESP Journal of Engineering & Technology Advancements 1(2): 34-41.

Ashok Choppadandi et al, International Journal of Computer Science and Mobile Computing, Vol.9 Issue.12, December- 2020, pg. 103-112. ( Google scholar indexed)

Choppadandi, A., Kaur, J., Chenchala, P. K., Nakra, V., & Pandian, P. K. K. G. (2020). Automating ERP Applications for Taxation Compliance using Machine Learning at SAP Labs. International Journal of Computer Science and Mobile Computing, 9(12), 103-112. https://doi.org/10.47760/ijcsmc.2020.v09i12.014

[Chenchala, P. K., Choppadandi, A., Kaur, J., Nakra, V., & Pandian, P. K. G. (2020). Predictive Maintenance and Resource Optimization in Inventory Identification Tool Using ML. International Journal of Open Publication and Exploration, 8(2), 43-50. https://ijope.com/index.php/home/article/view/127]

AI-Driven Customer Relationship Management in PK Salon Management System. (2019). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 7(2), 28-35. https://ijope.com/index.php/home/article/view/128

Pradeep Kumar Chenchala. (2023). Social Media Sentiment Analysis for Enhancing Demand Forecasting Models Using Machine Learning Models. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6), 595–601. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10762

Tilala, Mitul, Saigurudatta Pamulaparthyvenkata, Abhip Dilip Chawda, and Abhishek Pandurang Benke. "Explore the Technologies and Architectures Enabling Real-Time Data Processing within Healthcare Data Lakes, and How They Facilitate Immediate Clinical Decision-Making and Patient Care Interventions." European Chemical Bulletin 11, no. 12 (2022): 4537-4542. https://doi.org/10.53555/ecb/2022.11.12.425.

Mitul Tilala, Abhip Dilip Chawda, Abhishek Pandurang Benke, Akshay Agarwal. (2022). Regulatory Intelligence: Leveraging Data Analytics for Regulatory Decision-Making. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 1(1), 78–83. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/77

Mitul Tilala. (2023). Real-Time Data Processing in Healthcare: Architectures and Applications for Immediate Clinical Insights. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11), 1119–1125. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10629

Tilala, Mitul, and Abhip Dilip Chawda. "Evaluation of Compliance Requirements for Annual Reports in Pharmaceutical Industries." NeuroQuantology 18, no. 11 (November 2020): 138-145. https://doi.org/10.48047/nq.2020.18.11.NQ20244.

Dodda, Suresh, Navin Kamuni, Venkata Sai Mahesh Vuppalapati, Jyothi Swaroop Arlagadda Narasimharaju, and Preetham Vemasani. "AI-driven Personalized Recommendations: Algorithms and Evaluation." Propulsion Tech Journal 44, no. 6 (December 1, 2023). https://propulsiontechjournal.com/index.php/journal/article/view/5587

Kamuni, Navin, Suresh Dodda, Venkata Sai Mahesh Vuppalapati, Jyothi Swaroop Arlagadda, and Preetham Vemasani. "Advancements in Reinforcement Learning Techniques for Robotics." Journal of Basic Science and Engineering 19, no. 1 (2022): 101-111. ISSN: 1005-0930.

Dodda, Suresh, Navin Kamuni, Jyothi Swaroop Arlagadda, Venkata Sai Mahesh Vuppalapati, and Preetham Vemasani. "A Survey of Deep Learning Approaches for Natural Language Processing Tasks." International Journal on Recent and Innovation Trends in Computing and Communication 9, no. 12 (December 2021): 27-36. ISSN: 2321-8169. http://www.ijritcc.org

Jigar Shah , Joel lopes , Nitin Prasad , Narendra Narukulla , Venudhar Rao Hajari , Lohith Paripati. (2023). Optimizing Resource Allocation And Scalability In Cloud-Based Machine Learning Models. Migration Letters, 20(S12), 1823–1832. Retrieved from https://migrationletters.com/index.php/ml/article/view/10652

Joel lopes, Arth Dave, Hemanth Swamy, Varun Nakra, & Akshay Agarwal. (2023). Machine Learning Techniques And Predictive Modeling For Retail Inventory Management Systems. Educational Administration: Theory and Practice, 29(4), 698–706. https://doi.org/10.53555/kuey.v29i4.5645

Narukulla, Narendra, Joel Lopes, Venudhar Rao Hajari, Nitin Prasad, and Hemanth Swamy. "Real-Time Data Processing and Predictive Analytics Using Cloud-Based Machine Learning." Tuijin Jishu/Journal of Propulsion Technology 42, no. 4 (2021): 91-102.

Nitin Prasad. (2022). Security Challenges and Solutions in Cloud-Based Artificial Intelligence and Machine Learning Systems. International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 286–292. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10750

Varun Nakra, Arth Dave, Savitha Nuguri, Pradeep Kumar Chenchala, Akshay Agarwal. (2023). Robo-Advisors in Wealth Management: Exploring the Role of AI and ML in Financial Planning. European Economic Letters (EEL), 13(5), 2028–2039. Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1514

Downloads

Published

2024-07-24
CITATION
DOI: 10.36676/irt.v9.i5.1430
Published: 2024-07-24

How to Cite

Mafuwane , H. C., Muchie, P. M., Paripati, L., & Pandian, P. K. G. (2024). Spaza Shops in Townships and Rural Areas to Switch to Electronic Payment Method to Run the Business Successfully and Safe: Case Study Mkhuhlu Township, Bushbuckridge Municipality, Mpumalanga In South Africa. Innovative Research Thoughts, 9(5), 212–235. https://doi.org/10.36676/irt.v9.i5.1430