Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

Business Environment and Data Analytics: Enablers For Sustainable Economic Growth

Author : Sudesh Zingde 1 Dr. Neha Shroff 2

PDF

Date of Publication :20th November 2020

Abstract: In recent years, both industry and the Governments have high focus on sustainable economic growth. This paper examines how business environment and business analytics can be key enablers towards these goals. In the 1st part, this paper uses a structural equation model (SEM) that demonstrates the association of good business environment on attracting Foreign direct Investment (FDI), which in turn helps in the economic growth or GDP. The World Bank’s ease of doing business (EODB) scores are used for a fair indication on the business environment. The results highlight the importance that good business environment have in global competitiveness and the SEM model reveal a strong association of EODB or the business environment with the FDI inflow. The analysis also confirms positive association of FDI inflow with the GDP growth in the country. The 2nd part analyses how vast amount of data could be used by the industry to achieve sustainable and growing business with right products, right quality and right costs. For this purpose, in-depth interviews were conducted with some senior managers and entrepreneurs to understand the perspectives on how data analytics could help the organizations in better supply chain optimization, scientific demand planning, cost optimization and performance management to stay ahead in the competitive world and build sustainable supply chains for competitive advantage. Interviews were focused on business needs for various purposes like performance management, Predictive Analytics, forecasting and strategic planning and their expectations for a perceived success.

Reference :

    1. Attaran, M., & Attaran, S. (2018). Opportunities and challenges of implementing predictive analytics for competitive advantage. International Journal of Business Intelligence Research, 9(2), 1–26.
    2. Blackburn, R., Lurz, K., Priese, B., Göb, R., & Darkow, I. L. (2015). A predictive analytics approach for demand forecasting in the process industry. International Transactions in Operational Research, 22(3), 407–428.
    3. Bose, R. (2009). Advanced analytics: opportunities and challenges. Industrial Management & Data Systems, 109(2), 155–172.
    4. Chawla, D., & Sodhi, N. (2011). R. methodology: C. and cases. V. P. H. (2015). Research methodology: Concepts and cases. Vikas Publishing House.
    5. Dhawan, K. (2013). Indian Entrepreneurs in Import Substitution – Need of the Hour for Indian Economy. AISECT University., II(Iv).
    6. Dubey, R., Gunasekaran, A., & Childe, S. J. (2019). Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility. Management Decision, 57(8), 2092–2112.
    7. Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135–153.
    8. Ghasemaghaei, M., Hassanein, K., & Turel, O. (2017). Increasing firm agility through the use of data analytics: The role of fit. Decision Support Systems, 101, 95–105.
    9. Gillanders, Robert; Whelan, K. W. (2010). Open for business? Institutions, business environment and economic development. [10] Govindan, P. (2019). A Study on Growth of Foreign Direct Investments ( FDI ) Inflows in India and Impacts of Make in India Campaign-An Overview. Pratidhwani the Echo, 5264(Iv), 154–181.
    10. Gröger, C., Hillmann, M., Hahn, F., Mitschang, B., & Westkämper, E. (2013). The operational process dashboard for manufacturing. Procedia CIRP, 7, 205– 210.
    11. Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information and Management, 53(8), 1049–1064.
    12.  Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis (7th edition).
    13. Hossain, M. T., Hassan, Z., Shafiq, S., & Basit, A. (2018). Ease of Doing Business and Its Impact on Inward FDI. Indonesian Journal of Management and Business Economics, 1(1), 52–65.
    14. https://data.Worldbank.org/
    15. https://www.doingbusiness.org/content/dam/doingBu siness/country/i/india/IND.pdf
    16. https://www.doingbusiness.org/en/data/doingbusiness-score
    17. Janaćković, M., & Petrović-Ranđelović, M. (2019). Relationship Between Ease of Doing Business Indicators and the Foreign Direct Investment Inflows in the Republic of Serbia. Facta Universitatis, Series: Economics and Organization, 16, 269.
    18. Kaur, R. (2019). Revivifying Manufacturing Sector. International Journal of Research and Analytical Reviews (IJRAR), 6(3), 364–374.
    19.  Kennerley, M., & Neely, A. (2003). Measuring performance in a changing business environment. International Journal of Operations and Production Management, 23(2), 213–229.
    20. Khan, R. (2013). Business analytics and supply chain performance: An Empirical Perspective. International Journal of Operations and Logistics Management, 56(3), 43–56.
    21. Kimble, C., & Milolidakis, G. (2015). Big Data and Business Intelligence: Debunking the Myths. Global Business and Organizational Excellence, 35(1), 23– 34.
    22. Kinoshita, Y., & Campos, N. F. (2003). Why Does Fdi Go Where it Goes? New Evidence From the Transition Economies. IMF Working Papers, 03(228), 1.
    23. Klievink, B., Romijn, B. J., Cunningham, S., & de Bruijn, H. (2017). Big data in the public sector: Uncertainties and readiness. Information Systems Frontiers, 19(2), 267–283.
    24. Kumar, J. P. D. and D. (2018). Creation of Vibrant SMEs for Defence Corridors. CLAWS Journal, 84– 103.
    25. Malhotra, C., Anand, R., & Singh, S. (2018). Applying Big Data Analytics in Governance to Achieve Sustainable Development Goals (SDGs) in India. 273–291.
    26. Mazzei, M. J., & Noble, D. (2017). Big data dreams: A framework for corporate strategy. Business Horizons, 60(3), 405–414.
    27. Mishra, H., And, P. M.-I. J. of C., & 2020, U. (2020). Achieving sustainable development goals through Fourth Industrial Revolution: An Indian perspective. Search.Proquest.Com, July.
    28. Morro, R., & Ye, Q. (2018). From Reporting to Analytics: Leveraging Business Intelligence in enabling organisations’ transformation towards becoming data-driven. 139.
    29. Natarajan, P. P., & Raza, M. T. (2017). An Analytical Investigation On Ease Of Doing Business In India. Journal of Smart Economic Growth, 2(2), 46-69.
    30. Olival, A. (2012). The influence of Doing Business’ institutional variables in Foreign Direct Investment (Issue August).
    31. R. Geetha. (2016). Make in India and Ease of Doing Business. International Journal of Science and Research, 5(1), 1649–1651.
    32. Sharma, M., Khattar, C. S., & Trivedi, P. (2018). Export Performance Of Engineering Products In India. 8–17.
    33. Singh, M. S. (2016). MAKE IN INDIA : Scope and Challenges ahead . 978, 595–610.
    34.  Tan, K. H., Ji, G., Lim, C. P., & Tseng, M. L. (2017). Using big data to make better decisions in the digital economy. In International Journal of Production Research (Vol. 55, Issue 17, pp. 4998–5000). Taylor and Francis Ltd.
    35. The World Bank Group. (2019). Doing Business 2019. World Bank, 304. https://doi.org/10.1596/978- 1-4648-1326-9
    36. The World Bank Group. (2020). Ease of Doing Business Score and Ease of Doing Business Ranking. 77–86.
    37. Tokuoka, K. (2012). Does the Business Environment Affect Corporate Investment in India? IMF Working Papers, 12(70), 1.
    38. Tyagi, A., Gulati, M. S., & Misra, M. M. (2016). Women Empowerment Through Entrepreneurship In India: Challenges And Prospects. Journal of IPEM, 10.
    39. Wei, S. (2000). Sizing up Foreign Direct Investment in China and India by. In Economic Policy (Issue 85).
    40. Xavier, M. J., Srinivasan, A., & Thamizhvanan, A. (2011). Use of analytics in Indian enterprises: An exploratory study. Journal of Indian Business Research, 3(3), 168–179.

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