Internal business process performance of the Nepalese telecom industry
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DOIhttp://dx.doi.org/10.21511/ppm.19(4).2021.12
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Article InfoVolume 19 2021, Issue #4, pp. 138-147
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Creative Commons Attribution 4.0 International License
The study looked at the use of internal business process metrics within the performance assessment framework of the Nepalese telecom industry. It employed a descriptive study approach and an organized questionnaire survey instrument. The population of this study included all of Nepal’s telecom operators and their employees. The sample organizations from which random sampling techniques obtained the responses of 318 employees were Nepal Telecom and Ncell. The employees who hold at least offers and above positions at their company were the targeted respondents of the study. Three parts of the survey questionnaire were set up with 27 questions of different types to gather data. SPSS (statistical package for social sciences) program was employed to process and analyze the data. Sixteen measuring variables within four constructs were examined to assess the IBPP (internal business process performance). Three of these constructs: operations management (β = 0.229, p < 0.01), customer management (β = 0.380, p < 0.01), and regulatory and social processes (β = 0.175, p < 0.01) were found to have a statistically significant and favorable impact on the IBPP while innovation processes (β = 0.024, p > 0.05) was not properly applied and understood in the Nepalese telecom industry. The findings of this study will help identify the primary drivers of performance metrics and their relevance in organizational performance for the Nepalese telecom industry.
- Keywords
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JEL Classification (Paper profile tab)L25, L32, L86
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References48
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Tables5
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Figures1
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- Figure 1. The framework of the study
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- Table 1. Construct-wise reliability indicators
- Table 2. Validity measures
- Table 3. IBPP model outline
- Table 4. IBPP ANOVA result
- Table 5. IBPP regression coefficients of IBPP
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- Abernethy, M. A., Bouwens, J., & Lent, L. (2013). The role of performance measures in the intertemporal decisions of business unit managers. Contemporary Accounting Research, 30(3), 925-961.
- Ahmad, K., & Zabri, S. M. (2016). The application of non-financial performance measurement in Malaysian manufacturing firms. Procedia Economics and Finance, 35, 476-484.
- Ali, J. F., Ali, I., Rehman, K., Yilmaz, A. K., Safwan, N., & Afzal, H. (2010). Determinants of consumer retention in the cellular industry of Pakistan. African Journal of Business Management, 4(12), 2402-2408.
- Amir, A., & Lev, B. (1996). Value-relevance of non-financial information: the wireless communications industry. Journal of Accounting and Economics, 22(1-3), 3-30.
- Atkinson, A. A., Balakrishnan, R., Booth, P., Cote, J. M., Groot, T., Malmi, T., Roberts, H., Enrico, Uliana, & Wu, A. (1997). New directions in management accounting research. Journal of Management Accounting Research, 9(1), 79-108.
- Atkinson, A. A., Kaplan, R. S., Matsumura, E. M., Young, S. M., & Kumar, G. A. (2014). Management Accounting Information for Decision Making and Strategy Execution (6th ed.). New Delhi: Pearson Education, Inc.
- Bagozzi, R. P., & Baumgartner, H. (1994). The evaluation of structural equation models and hypothesis testing. In R. P. Bagozzi (Ed.). Principles of Marketing Research (pp. 386-422). Cambridge: Blackwell.
- Bowerman, B. L., O’Connell, R. T., & Orris, J. B. (2004). Essential business statistics (3rd ed.). New York: McGraw Hill.
- Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309-319.
- Cooper, R. G., Edgett, S. J., & Kleinschmidt, E. J. (1998). Best practices for managing research and development portfolios. Research Technology Management, 41(4), 20-33.
- Dotzel, T., Shankar, V., & Berry, L. L. (2013). Service innovativeness and firm value. Journal of Marketing Research, 50(2), 259-276.
- Farooq, A., & Hussain, Z. (2011). Balanced scorecard perspective on change and performance: A study of selected Indian companies. Procedia – Social and Behavioral Sciences, 24, 754-768.
- Flint, D. J., Woodruff, R. B., & Gardial, S. F. (2002). Exploring the phenomenon of customers’ desired value change in a business-to-business context. Journal of Marketing, 66(4), 102-117.
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
- Franco-Santos, M., Kennerley, M., Micheli, P., Martinez, V., Mason, S., Marr, B., Gray, D., & Neely, A. (2007). Towards a definition of a business performance measurement system. International Journal of Operations and Production Management, 27(8), 784-801.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). London: Prentice-Hall.
- Hammer, M., & Champy, J. (1993). Reengineering the corporation: A manifesto for business revolution. New York: Harper Business.
- Hum, S. H., & Sim, H-H. (1996). Time-based competition: Literature review and implications for modelling. International Journal of Operations and Production Management, 16(1), 75-90.
- Josee, V. M., Gongera, G. E., & Anyika, E. (2016). Critical analysis of adoption of modern technology and its impact on the financial performance of telecommunication industry in Rwanda. Social and Basic Sciences Research Review, 4(9), 166-176.
- Joshi, S. (2014). Customer experience management: An exploratory study on the parameters affecting customer experience for cellular mobile services of a telecom company. Procedia – Social and Behavioral Sciences, 133, 392-399.
- Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36.
- Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard – measures that drive performance. Harvard Business Review, 70(1), 71-79.
- Kaplan, R. S., & Norton, D. P. (1993). Putting the balanced scorecard to work. Harvard Business Review, 71(5), 134-147.
- Kaplan, R. S., & Norton, D. P. (1996). Using the balanced scorecard as strategic management system. Harvard Business Review, 74(1), 75-85.
- Kaplan, R. S., & Norton, D. P. (2001). Transforming the balanced scorecard from performance measurement to strategic management: Part I. Accounting Horizons, 15, 87-104.
- Khanmohammadi, M., Mohammadi, M., & Mehdizadeh, N. (2015). The feasibility of implementing the balanced scorecard – case study: Nationwide provincial telecom companies. International Business Research, 8(8), 118-128.
- Khashman, A. M. (2019). The effect of business process reengineering on organizational performance: The mediating role of information and communications technology. International Journal of Business and Management, 14(9), 132-149.
- Krejcie, R., & Morgan, D. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
- Kyei, D. A., & Bayoh, A. T. M. (2017). Innovation and customer retention in the Ghanaian telecommunication industry. International Journal of Innovation, 5(2), 1-15.
- Majumdar, S. K. (1998). On the utilization of resources: Perspectives from the U.S. telecommunications industry. Strategic Management Journal, 19(9), 809-831.
- Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Review: information technology and organizational performance: an integrative model of IT business value. Management Information System, 28(2), 283-322.
- Min, S., Zhang, X., Kim, N., & Srivastava, R. K. (2016). Customer acquisition and retention spending: An analytical model and empirical investigation in wireless telecommunications markets. Journal of Marketing Research, 53(5), 728-744.
- Morris, L. (2013). How to innovate: The innovation process. Innovation management.
- Muazu, M. H., & Tasmin, R. (2017). Operational excellence in manufacturing, service and the oil & gas: The sectorial definitional constructs and risk management implication. Path of Science, 3(9), 3001-3008.
- Mukherjee, D., & Chatterjee, M. (2013). Business process reengineering and customer satisfaction with reference to Indian telecommunication sector. Journal of Academia and Industrial Research, 2(2), 126-133.
- Ndubisi, N. O. (2003). Service quality: Understanding customer perception and reaction, and its impact on business. International Journal of Business, 5(2), 7-19.
- Nepal Telecommunication Authority. (2020). MIS Report.
- Nunnally, J. C. (1993). Psychometric theory (3rd ed.). New York: McGraw Hill.
- Sapkauskiene, A., & Leitoniene, S. (2010). The concept of time-based competition in the context of management theory. Engineering Economics, 21(2), 205-213.
- Scheer, L. K., Miao, C. F., & Garrett, J. (2010). The effects of supplier capabilities on industrial customers’ loyalty: The role of dependence. Journal of the Academy of Marketing Science, 38, 90-104.
- Selvam, M., Gayathri, J., Vasanth, V., Lingaraja, K., & Marxiaoli, S. (2016). Determinants of firm performance: A subjective model. International Journal of Social Science Studies, 4(7), 90-100.
- Silver, E. A. (2004). Process management instead of operations management. Manufacturing and Service Operations Management, 6(4), 273-279.
- Spitzer, D. R. (2007). Transforming performance measurement: Rethinking the way we measure and drive organizational success. New York: AMACOM.
- Sullivan, T. (2001). Scorecards ease businesses balancing act. InfoWorld, 23(2), 32-32.
- Sureshchandar, G. S., & Leisten, R. (2005). Holistic scorecard: Strategic performance measurement and management in the software industry. Measuring Business Excellence, 9(2), 12-29.
- Venkatram, R., & Zhu, X. (2012). An analysis of factors influencing the telecommunication industry growth – A case study of China and India (Master’s thesis). Blekinge Institute of Technology, Sweden.
- Yeniyurt, S. (2003). A literature review and integrative performance measurement framework for multinational companies. Marketing Intelligence & Planning, 21(3), 134-142.
- Zuriekat, M., Salameh, R., & Alrawashdeh, S. (2011). Participation in performance measurement system and level of satisfaction. International Journal of Business and Social Science, 2(8), 159-169.