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Measuring the technical efficiency of the listed IT companies: Evidence from Bangladesh

Author

Listed:
  • Mohammad Kamal Hossain

    (Jashore University of Science and Technology)

  • Md Abdus Salam

    (Jashore University of Science and Technology)

  • Afsana Nahid

    (Jashore University of Science and Technology)

Abstract

This study aimed to measure the technical efficiency of information technology (IT) companies listed on the Dhaka Stock Exchange (DSE) in Bangladesh. It included ten listed IT companies for the period 2016–2020. The input-oriented Data Envelopment Analysis (DEA) approach was used to measure technical efficiency. This study used two inputs, such as fixed assets and capital expenditure, and three outputs, such as return on equity, return on assets, and total income, to measure technical efficiency. All the required data were collected from publicly available annual reports, the sample companies’ websites, and the website of DSE. The study found that Bangladeshi-listed IT companies were not adequately technically efficient, with an average efficiency score of 56.6 percent, requiring a 43.6 percent improvement in efficiency during the period 2016–2020. This inefficiency was due primarily to pure technical inefficiency followed by scale inefficiency. The findings of the study are expected to provide important and useful information to the Bangladesh Association of Software and Information Services (BASIS), the Bangladesh Computer Council (BCC), the ICT Division of the Bangladesh government, and the sample companies. Key Words:Technical Efficiency, Information Technology, Data Envelopment Analysis, Bangladesh

Suggested Citation

  • Mohammad Kamal Hossain & Md Abdus Salam & Afsana Nahid, 2022. "Measuring the technical efficiency of the listed IT companies: Evidence from Bangladesh," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(6), pages 74-85, September.
    • Handle: RePEc:rbs:ijbrss:v:11:y:2022:i:6:p:74-85
    DOI: 10.20525/ijrbs.v11i6.1979
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, April.
    2. Shinkai, Naoko & Hossain, Monzur, 2011. "Productivity and Performance of IT Sector in Bangladesh: Evidence from the Firm Level Data," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 34(2), pages 1-22, June.
    3. Chien Wang & Ram Gopal & Stanley Zionts, 1997. "Use of Data Envelopment Analysis in assessing Information Technology impact on firm performance," Annals of Operations Research, Springer, vol. 73(0), pages 191-213, October.
    4. J. David Cummins & Jack VanDerhei, 1979. "A Note on the Relative Efficiency of Property-Liability Insurance Distribution Systems," Bell Journal of Economics, The RAND Corporation, vol. 10(2), pages 709-719, Autumn.
    5. McConnell, John J. & Muscarella, Chris J., 1985. "Corporate capital expenditure decisions and the market value of the firm," Journal of Financial Economics, Elsevier, vol. 14(3), pages 399-422, September.
    6. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    7. Md. Shakil Ahmed & M. Daud Ahmed, 2013. "Efficiency Variation of Manufacturing Firms: A Case Study of Seafood Processing Firms in Bangladesh," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 45-56, May.
    8. Khalid Mehmood Alam & Li Xuemei & Saranjam Baig & Li Yadong & Akber Aman Shah, 2020. "Analysis of Technical, Pure Technical and Scale Efficiencies of Pakistan Railways Using Data Envelopment Analysis and Tobit Regression Model," Networks and Spatial Economics, Springer, vol. 20(4), pages 989-1014, December.
    9. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, October.
    10. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    11. Xiaohong Chen & Xiaoding Wang & Desheng Dash Wu & Zejing Zhang, 2011. "Analysing firm performance in Chinese IT industry: DEA Malmquist productivity measure," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 10(1), pages 3-23.
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