Measuring Knowledge Workers’ Productivity in the Kingdom of Saudi Arabia Telecom Industry
Keywords:ARPU, Capitalized Labor, Knowledge Workers, VAIC
This study establishes and tests a framework for measuring knowledge workers’ output in the Kingdom of Saudi Arabia (KSA) telecom industry based on the examination of capitalized labor and average revenue per user (ARPU) to measure value added intellectual coefficient (VAIC). Quarterly financial statements from 2008-2015 were used to measure an ARPU composite score of the only four publicly traded telecommunication companies on the Saudi Exchange (Tawadul). The four telecom companies comprise 32 cases which satisfied the required number of cases needed to detect a R2 that is 50% or higher 80% of the time. A hierarchical regression was performed to measure capitalized labor (CLE), Pulic’s VAIC, and its determinants’ effects on ARPU composite score. The results showed a direct relationship between VAIC, its determinants, and ARPU composite score. The full model explained 78% of the ARPU composite score. CLE and CEE were significant with a combined R2 of 29%. This study shows how ARPU is linked to functional-level strategies in telecom industry, and can be used as a KPI to measure the productivity of knowledge workers.
. Alawi, A. (2016). Saudi Telecom Sector. Riyadh. Retrieved from http://www.aljaziracapital.com.sa/report_file/ess/SEC-288.pdf.
. Andriessen, D. (2004). IC valuation and measurement: classifying the state of the art. Journal of Intellectual Capital, 5(2), 230–242.
. Aroudaki, H. (2012). On the monthly usage dynamic of prepaid subscribers – Hidden insights. Journal of Database Marketing & Customer Strategy Management, 19(4), 262–274.
. Binzaraah, A. (2014). Saudi Telecom . Company - STC Recommendation Saudi Telecom . Company - STC (Vol. 2014). Riyadh. Retrieved from http://www.riyadcapital.com/en/Images/STC_12-16-2015_EN_tcm10-6706.PDF
. Bohlin, E., Caves, K. W., & Eisenach, J. A. (2014). Mobile Wireless Performance in the EU and the US: Implications for Policy (*). Digiworld Economic Journal, 93(1), 35–58.
. Butrell, A. (2010, April). Analysis Accounting Standards: Convergence or Conversion. Global Finance, 52–53.
. Calisir, F., Gumussoy, C. A., Bayraktaroglu, A. E., & Deniz, E. (2010). Intellectual capital in the quoted Turkish ITC sector. Journal of Intellectual Capital, 11(4), 538–554.
. Celenza, D., & Rossi, F. (2014). Intellectual capital and performance of listed companies: empirical evidence from Italy. Measuring Business Excellence, 18(1), 22–35.
. Clarke, M., Seng, D., & Whiting, R. H. (2011). Intellectual capital and firm performance in Australia. Journal of Intellectual Capital, 12(4), 505–530.
. Communication and Information Technology Commision, C. (2010). Market Definition , Designation and Dominance Report. Riyadh. Retrieved from http://www.citc.gov.sa/en/Reportsandstudies/Reports/Pages/MarketReport.aspx
. Cooper, H. (2010). Research Synthesis and Meta-Analysis: A Step-by-Step Approach (4th ed.). Thousand Oaks: SAGE.
. Devassy, P. (2014). Saudi Telecom Sector. Riyadh. Retrieved from http://www.alrajhi-capital.com
. Drucker, P. F. (1999). Knowledge-worker productivity : The biggest challenge. California Management Review, 41(2), 79–94.
. Drucker, P. F. (2008). Management. (J. Marciariello, Ed.) (Revised). New York: HarperCollins.
. Financial Accounting Standards Board. (1998). Statement of Position 98 - 1 Accounting for the Costs of Computer Software. Norwalk. Retrieved from http://www.fasb.org/jsp/FASB/Document_C/DocumentPage?cid=1176156442651&acceptedDisclaimer=true
. Financial Accounting Standards Board. (2006). Preliminary views. Conceptual framework for financial reporting: Objective of financial reporting and qualitative characteristics of decision-useful financial reporting information. Norwalk.
. Firer, S., & Stainbank, L. (n.d.). Testing the relationship between intellectual capital and a company ’ s performance : Evidence from South Africa University of Natal Durban, 11, 25–44.
. Firer, S., & Williams, S. M. (2003). Intellectual capital and traditional measures of corporate performance. Journal of Intellectual Capital, 4(3), 348–360.
. Goldman, C. S., Knable Gotts, I., & Piaskoski, M. E. (2003). The Role of Efficiencies in Telecommunications Merger Review. Federal Communications Law Journal, 56(1), 87–154.
. Gruian, C.-M. (2011). The Influence of Intellectual Capital on Romanian Companies’ Financial Performance. Annales Universitatis Apulensis Series Oeconomica, 13(16), 260–273.
. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis (5th ed.). Upper Saddle River: Prentice-Hall Inc.
. Harno, J. (2009). Techno‐economic analysis of beyond 3G mobile technology alternatives. Info, 11(3), 45–63.
. Hill, C. W. L., & Jones, G. R. (2009). Theory of Strategic Management with Cases. (8th ed.). South Western - Cengage Learning. Retrieved from international.cengage.com
. Hwang, M.-C. C. Sh.-J. C. Y. (2005). An Empirical Investigation of the relationship between intellectual capital and firms market value and financial performance. Journal of Intellectual Capital, 6(2), 159–176.
. Iazzolino, G., & Laise, D. (2013). Value added intellectual coefficient (VAIC): A methodological and critical review. Journal of Intellectual Capital, 14(4), 547–563.
. Jafaridehkordi, H., & Rahim, R. A. (2014). Intellectual Capital and Investment Opportunity Set. European Online Journal of Natural and Social Sciences, 3(4), 1030–1041. Retrieved from www.european-science.com
. Javornik, S., & Marc, M. (2012). The Efficiency of Intellectual Capital Investments as a Potential Leading Indicator. International Business & Economics Research Journal, 11(5), 535–558.
. Jones, A; Wali, A. M., Singh, A., & Muhammad, A. (2015). An examination of psychological ownership and job satisfaction relationship. ELK Asia Pacific Journal of Human Resource Management and Organizational Behavior, 2(1), 16–65.
. Jones, A. (2011). The impact of intangible assets and economic profit on mergers and acquisitions in the communication industry. Argosy University/DC. Retrieved from http://search.proquest.com/docview/1324105275?accountid=35493
. Joshi, M., Cahill, D., & Sidhu, J. (2010). Intellectual capital performance in the banking sector: An assessment of Australian owned banks. Journal of Human Resource Costing & Accounting, 14(2), 151–170.
. Joshi, M., Cahill, D., Sidhu, J., & Kansal, M. (2013). Intellectual capital and financial performance: An evaluation of the Australian financial sector. Journal of Intellectual Capital, 14(2), 264–285.
. Kaplan, R. S., & Norton, D. P. (2008). The EXECUTION PREMIUM: Linking Strategy to Operations for Competitive Advantage. Boston: Harvard Business School Publishing. Retrieved from email@example.com
. Kim, J., Lee, D., Ahn, J., Ahn, D. S., & Ku, B. J. (2008). Is HAPS viable for the next-generation telecommunication platform in Korea? Eurasip Journal on Wireless Communications and Networking, 2008.
. Komnenic, B., & Pokrajcic, D. (2012). Intellectual capital and corporate performance of MNCs in Serbia. Journal of Intellectual Capital, 13(1), 106–119.
. Malisuwan, S., Tiamnara, N., & Suriyakrai, N. (2015). A Study of Spectrum Valuation Methods in Telecommunication Services. International Journal of Trade, Economics and Finance, 6(4), 241–246.
. Marr, B., Schiuma, G., & Neely, A. (2004). Intellectual capital - defining key performance indicators for organizational ... Business Process Management, 10(5), 551–569.
. Mehri, M., Umar, M. S., Saeidi, P., Hekmat, R. K., & Naslmosavi, S. H. (2013). Intellectual capital and firm performance of high intangible intensive industries: Malaysia evidence. Asian Social Science, 9(9), 146–155.
. Ministry of Economy & Planning, T. K. of S. A. (2010). The Ninth Development Plan. Riyadh. Retrieved from http://www.mep.gov.sa/en/
. Nazari, J. A., & Herremans, I. M. (2007). Extended VAIC model : measuring intellectual capital components. Journal of Intellectual Capital, 8(4), 595–609.
. Phusavat, K., Comepa, N., Sitko-Lutek, A., & Ooi, K.-B. (2011). Interrelationships between intellectual capital and performance: Empirical examination. Industrial Management & Data Systems, 111(6), 810–829.
. Porter, M. E. (1985). Competitive Advantage: Creating and Sustaining Superior Performance (First Free). New York: The Free Press.
. PriceWaterhouesCoopers, (2008). a Saudi Joint Stock Company Interim Consolidated Financial Statements for the First Quarter 2008 Interim Consolidated Financial Statements for the (Vol. 2008). Riyadh.
. Pulic, A. (2004). Intellectual capital--does it create or destroy value ? Measuring Business Excellence, 8(1), 62–68.
. Qu, P. (2014). Mobile communication service income prediction method based on grey buffer operator theory. Grey Systems: Theory and Application, 4(2), 250–259.
. Rahman, S., & Ahmed, J. U. (2012). Intellectual Capital Efficiency : Evidence from Bangladesh. Advances in Management & Applied Economics, 2(2), 109–146.
. Shiu, H. (2006). The Application of the Value Added Intellectual Coefficient to ... International Journal of Management, 23(2), 356–365.
. Stahle, P., Stahle, S., & Aho, S. (2011). Value added intellectual coefficient ( VAIC ): a critical analysis. Journal of Intellectual Capital, 12(4), 531–551.
. Stordahl, K., & Elnegaard, N. K. (2007). Adoption rate forecasts and rollout strategies. NETNOMICS: Economic Research and Electronic Networking.
. Sveiby, K. E. (1997). The new organizational wealth managing and measuring knowledge-based assets. San Francisco, CA: Berrett-Koehler.