Examining the Economic Impact of E-business Technologies in the Oil and Gas Industry on Local Communities in Emerging Economies: Implications for Policy and Practice in Guyana’s Oil and Gas Sector

Abstract:
This paper discusses the economic impact of e-business practices,
specifically related to employment of technologies in the oil and gas industry
on local communities in emerging economies and discussed implications for
Policy and Practice in Guyana's Oil and Gas Sector. By adopting digital
technologies such as AI, IoT and blockchain as part of the E-business
infrastructure, business in the oil and gas industry benefits from improvements
in operational efficiency, accountability and transparency in the supply chain,
and sustainable economic growth in communities because of increase employment
and other socio-economic benefits. The study employed a secondary research
approach to collect and analyze data form various academic and industry
sources. The findings from this study reveal that robust E-business
infrastructures are augmented with advanced digital technologies, and economies
that adopts this strategy benefits for improved operational efficiency in the
oil and gas sector, enhanced community development through employment and
economic diversification. Bases on this study, the key implications and
recommendations for Guyana include policy and e-business infrastructure
development, and capacity building.
References:
[1]. Akhtar,
Mohammad, & Sushil, S., 2018a, Strategic Performance Management System in
the uncertain business environment. Business Process Management Journal, 24(4),
923–942. https://doi.org/10.1108/bpmj-05-2017-0102
[2]. Akhtar,
Mohammad, & Sushil, S., 2018b, Strategic Performance Management System in
the uncertain business environment. Business Process Management Journal, 24(4),
923–942. https://doi.org/10.1108/bpmj-05-2017-0102
[3]. Akhtar,
Mohd, & Mittal, R. K., 2010, Enterprise performance management and
flexibility: Factors of effectiveness in upstream oil industry in India. Global
Journal of Flexible Systems Management, 11(4), 1–10. https://doi.org/10.1007/bf03396589
[4]. Anisimov,
V. F., Truntsevsky, Y. V., Bessel, V. V., & Yessetova, S., 2020, Prospects
of development of the oil industry in the global economy and in the regional
economies. International Journal of Energy Economics and Policy, 10(1),
265–279. https://doi.org/10.32479/ijeep.8589
[5]. Asante
Boakye, E., Zhao, H., & Ahia, B. N., 2022, Blockchain technology prospects
in transforming Ghana's economy: A phenomenon-based approach. Information
Technology for Development, 29(2–3), 348–377. https://doi.org/10.1080/02681102.2022.2073580
[6]. Ayan,
B., Güner, E., & Son-Turan, S., 2022, Blockchain technology and
sustainability in supply chains and a closer look at different industries: A
mixed method approach. Logistics, 6(4), 85. https://doi.org/10.3390/logistics6040085
[7]. Binu
Yahaya, K., 2022a, Local content and oil exploration and production in Nigeria.
SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4118661
[8]. Binu
Yahaya, K., 2022b, Local content and oil exploration and production in Nigeria.
SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4118661
[9]. Denscombe,
M., 2014, The Good Research Guide: For Small-Scale Social Research
Projects, 5th ed., Open University Press, Maidenhead.
[10]. Diao,
X., & Hazell, P. B. R., 2019, Ghana's Economy-Wide Transformation: Past
Patterns and Future Prospects. https://doi.org/10.2499/9780198845348_02
[11]. Hendrix,
C. S., 2017, Kicking a crude habit: Diversifying away from oil and gas in the
21st Century. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2912333
[12]. Hervé,
A., Schmitt, C., & Baldegger, R., 2020, Internationalization and
digitalization: Applying Digital Technologies to the internationalization
process of small and medium-sized enterprises. Technology Innovation
Management Review, 10(7), 28–40. https://doi.org/10.22215/timreview/1373
[13]. Keynes,
J. M., 1936, The General Theory of Employment, Interest, and Money. Macmillan,
London.
[14]. Kim,
Y., 2015, Management model and competition mechanism of public and private
enterprises: Focused on oil refining industry. Korea Business Review, 19(4),
203. https://doi.org/10.17287/kbr.2015.19.4.203
[15]. Koroteev,
D., & Tekic, Z., 2021, Artificial Intelligence in oil and gas upstream:
Trends, challenges, and scenarios for the future. Energy and AI, 3,
100041. https://doi.org/10.1016/j.egyai.2020.100041
[16]. Mensah,
E. B., & Van Biesebroeck, J., 2023, Integration of African countries in
regional and global value chains: Static and dynamic patterns. The World
Economy, 46(11), 3259–3281. https://doi.org/10.1111/twec.13503
[17]. Nasereddin,
A. Y., 2024, A comprehensive survey of Contemporary Supply Chain Management
Practices in charting the digital age revolution. Uncertain Supply Chain
Management, 12(2), 1331–1352. https://doi.org/10.5267/j.uscm.2023.11.004
[18]. OilNow,
2023, Guyana’s Oil Industry Overview. OilNow. Retrieved from https://oilnow.gy
[19]. Rasch,
F. A., 2022, The complexity of e-business and markets in central Asia and its
impact on Economic Development. 2022 6th International Conference on
E-Commerce, E-Business and E-Government. https://doi.org/10.1145/3537693.3537748
[20]. Romer,
P. M., 1990, Endogenous technological change. Journal of Political Economy,
98(5, Part 2). https://doi.org/10.1086/261725
[21]. Rui,
Z., Cui, K., Wang, X., Chun, J.-H., Li, Y., Zhang, Z., Lu, J., Chen, G., Zhou,
X., & Patil, S., 2018, A comprehensive investigation on the performance of
oil and Gas Development in Nigeria: Technical and non-technical analyses. Energy,
158, 666–680. https://doi.org/10.1016/j.energy.2018.06.027
[22]. Shah,
M., Kshirsagar, A., & Panchal, J., 2022, A comprehensive review of machine
application in the oil and Gas Industry. Applications of Artificial
Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry,
1–14. https://doi.org/10.1201/9781003279532-1
[23]. Siuta-Tokarska,
B., Kruk, S., Krzemiński, P., Thier, A., & Żmija, K., 2022, Digitalization
of enterprises in the energy sector: Drivers—business models—prospective
directions of changes. Energies, 15(23), 8962. https://doi.org/10.3390/en15238962
[24]. Tong,
X., Zhang, G., Wang, Z., Wen, Z., Tian, Z., Wang, H., Ma, F., & Wu, Y.,
2018, Distribution and potential of global oil and Gas Resources. Petroleum
Exploration and Development, 45(4), 779–789. https://doi.org/10.1016/s1876-3804(18)30081-8
[25]. Yaqub, M. Z., & Alsabban, A., 2023, Industry-4.0-enabled digital transformation: Prospects, Instruments, challenges, and implications for business strategies. Sustainability, 15(11), 8553. https://doi.org/10.3390/su15118553