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Impacts of Innovation and Business Analytics on the Performance of the Service Sector in Nigeria

Author

Listed:
  • Ladi Daodu

    (Ph.D. Candidate, Lincoln University College, Petaling Jaya, Malaysia.)

  • Prof. Dr. Amiya Bhaumik

    (Deputy Vice Chancellor, Lincoln University College, Petaling Jaya, Malaysia.)

Abstract

The study investigated the impacts of innovation, including service innovation and business analytics adoption on the performance of the service sector in Nigeria between 2013 and 2022. The proportion of Nigeria’s economy attributable to the service sector, the Innovation Efficiency Index, and the Business Analytics usage index were all calculated using secondary data drawn from metrics such as the number of service firms engaging in R&D, the total amount of R&D expenditures, and the share of total service sector revenue received via online channels. As a result of multicollinearity and heteroscedasticity, the study used quantitative analysis, including regression and correlation analyses. The results show that innovation and its impact on service quality, has a large impact on Nigeria’s service sector, but that the sector’s current adoption level of business analytics is too low to produce far-reaching changes in performance. It was further revealed from the study that the e-participation rate is very vital for driving both the adoption of business analytics and the performance of the service sector. According to the study, the adoption of business analytics should be given more attention in the Nigerian service sector so that its contribution to the performance of the sector is more significant. Finally, the scope of e-participation in the service sector is expanding by the day, and it is recommended that various organizations become more e-service driven to compete in today’s market and maintain good performance.

Suggested Citation

  • Ladi Daodu & Prof. Dr. Amiya Bhaumik, 2024. "Impacts of Innovation and Business Analytics on the Performance of the Service Sector in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(6), pages 77-91, June.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:6:p:77-91
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    References listed on IDEAS

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    1. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    2. Artem Timoshenko & John R. Hauser, 2019. "Identifying Customer Needs from User-Generated Content," Marketing Science, INFORMS, vol. 38(1), pages 1-20, January.
    3. Akter, Shahriar & Motamarri, Saradhi & Hani, Umme & Shams, Riad & Fernando, Mario & Mohiuddin Babu, Mujahid & Ning Shen, Kathy, 2020. "Building dynamic service analytics capabilities for the digital marketplace," Journal of Business Research, Elsevier, vol. 118(C), pages 177-188.
    4. Claudio Vitari & Elisabetta Raguseo, 2020. "Big data analytics business value and firm performance: linking with environmental context," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5456-5476, September.
    5. Hansol Lee & Eunkyung Kweon & Minkyun Kim & Sangmi Chai, 2017. "Does Implementation of Big Data Analytics Improve Firms’ Market Value? Investors’ Reaction in Stock Market," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    6. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
    7. Wu, Liang & Liu, Heng & Su, Kun, 2020. "Exploring the dual effect of effectuation on new product development speed and quality," Journal of Business Research, Elsevier, vol. 106(C), pages 82-93.
    8. Gault, Fred, 2018. "Defining and measuring innovation in all sectors of the economy," Research Policy, Elsevier, vol. 47(3), pages 617-622.
    9. Oluseun A. Ishola & Modinat O. Olusoji, 2020. "Service Sector Performance, Industry and Growth in Nigeria," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 11(1), pages 31-45, January.
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