• International Journal of Technology (IJTech)
  • Vol 11, No 1 (2020)

Value Creation and the Pursuit of Multi Factor Productivity Improvement

Value Creation and the Pursuit of Multi Factor Productivity Improvement

Title: Value Creation and the Pursuit of Multi Factor Productivity Improvement
Roy Woodhead, Mohammed Ali Berawi

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Cite this article as:
Woodhead, R., Berawi, M.A. 2020. Value Creation and the Pursuit of Multi Factor Productivity Improvement. International Journal of Technology. Volume 11(1), pp. 111-122

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Roy Woodhead Business Operation Systems, Sheffield Business School, Sheffield Hallam University, 38 - 40 Howard Street, Sheffield S1 1WB, United Kingdom
Mohammed Ali Berawi Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia
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Abstract
Value Creation and the Pursuit of Multi Factor Productivity Improvement

This paper links Value Management to macro-economics to explore transformational innovation. It borrows from economics and the relationship between technological progress and rising living standards for citizens. Central to this is seeing 'technology' in a wider sense than devices. What makes this paper different is it attempts to link Government spending on capital projects directly to economic growth in an economy. Whilst macroeconomists use historic data, this paper applies those theories to the conceptual stages of capital-projects to become part of a Government's investment appraisal process. As such, this paper outlines a 'how to' approach that will help Governments prefer Foreign Investments that lead to long-term economic growth. The hope is that this paper will stimulate other researchers to replicate the methodology and in so doing open a new direction for innovation methodologies such as Value Engineering and Value Management that link capital projects to growth in GDP.

Capital projects; Economic growth; Government; Innovation; Productivity; Value management

Introduction

The field of Value Management (Woodhead and Male, 2000; Woodhead, 2001;  Kaufman and Woodhead, 2006; Male et al., 2007; Berawi et al., 2014; Teschl, 2018; Visser, 2019) has confined itself to micro-economics. In this paper we extend it to macro-economics to explain how economists understand the role of technological progress as a key determinant of economic growth at the national level (Wiratmadja et al., 2016). This stands on ideas linked to productivity and production functions. However, economists use historic data and given low and even negative productivity statistics in many countries, we argue there needs to be a proactive way to influence economic growth. We start by reviewing  established ideas from economists before exploring how we could adopt a more proactive approach that would help Governments not only deliver capital projects that their citizens need, but also in ways that stimulate productivity and a consequential rise in prosperity. We do so by sharing a method that could be used in the conceptual stages of a capital project, alongside established investment appraisal techniques. The hope of this paper is to start new lines of research in the field of Value Management

Conclusion

This paper offers a way to solve the Productivity Puzzle by considering capital projects in the conceptual stages and learning how MFP calculations vary during project execution. This could be valuable to Governments as it would help them assess which investments are likely to have more spill over benefits that lift the living standards of its citizens. This approach is in contrast to methods typically used by economists where historic data is investigated with mathematical techniques such as multiple regression.

A positive MFP suggests the new approach is better than the base case in terms of its benefit to economic growth. Understanding approximate contributions a major capital project could have on economic growth enables a Government to make more informed choices about the way their capital projects unlock technological progress and spill over benefits that raise living standards beyond the project itself.

Most capital investment methods (e.g. NPV, IRR, PI etc.) need to demonstrate positive results before investors give an approval to proceed and funds are sanctioned. This is well established. Yet evidence from around the world shows negative productivity exists which means what counts as success from investment appraisal techniques may not actually be successful for the economy and GDP growth.

We accept a need to maintain proven investment appraisal techniques to satisfy the needs of financiers. What we call for is to also make the MFP calculation part of a Government's investment appraisal criteria.

In this paper we made a number of assumptions and omissions (e.g. taxation was omitted) to keep our explanation simple and to show how MFP enables valuable a priori insights. Those insights could be used in capital projects to unlock new levels of prosperity for a nation's citizens as well as meeting the requirements of the usual stakeholders in capital projects.

References

Abramovitz, M., 1956. Resource and Output Trends in the United States Since 1870. The American Economic Review, Volume 46(2), pp. 1–23

Arrazola, M., de Hevia, J., 2004. More on the Estimation of the Human Capital Depreciation Rate. Applied Economics Letters, Volume 11(3), pp. 145–148

Arrow, K., 1962. The Economic Implications of Learning by Doing. The Review of Economic Studies. Oxford University Press. Volume 29(3), pp. 155–173

Barro. R.J., 1999. Notes on Growth Accounting. Journal of Economic Growth, Volume 4, pp. 119–137

Baumol, W., 1986. Productivity Growth, Convergence and Welfare. American Economic Review, Volume 76, pp. 1072–1085

Berawi, M.A., Susantono, B., Miraj, P., Berawi, A.R.B., Rahman, H.Z., Gunawan, Husin, A., 2014. Creating Value-Added and Increasing Feasibility of Mega Infrastructure Projects. Procedia Technology, Volume 16, pp. 1037–1046

Berawi, M.A., 2006. Distinguishing Concept Types in Function Models during the Act of Innovation. Master’s Dissertation, Graduate Program, Oxford Brookes University, United Kingdom

Berawi, M.A., 2018. The Fourth Industrial Revolution: Managing Technology Development for Competitiveness. International Journal of Technology, Volume 9(1), pp. 1–4

Berawi, M.A., Woodhead, R.M., 2005. How-Why Logic Paths and Intentionality. Value World, Volume 28(2), pp. 12–15

Berawi, M.A., Woodhead, R.M., 2008. Stimulating Innovation using Function Models: Adding Product Value. Value World, Volume 31(2), pp. 4–7

Canarella, G., Pollard, S.K., 2003. The Augmented Solow Model and the OECD Sample. International Business & Economics Journal, Volume 2(7), pp. 89–102

Christensen, C., 2016. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail (Management of Innovation and Change). Reprint edition. Cambridge, Mass: Harvard Business Review Press

Cobb, C.W., Douglas, P.H., 1928. A Theory of Production. American Economic Review, Volume 18, pp. 139–165

Crafts, N., 2008. What Creates Multi-factor Productivity. Paper prepared for the joint ECB, Banque de France and The Conference Board conference "The Creation of Economic and Corporate Wealth in a Dynamic Economy", Frankfurt, January. Available online https://warwick.ac.uk/fac/soc/economics/staff/nfrcrafts/working_papers/mfp.pdf, Accessed on July 26, 2019

DeLong, J.B., 1988. Productivity Growth, Convergence and Welfare: Comment. American Economic Review, Volume 78, pp. 1138–1154

Franklin, M., 2018. A Simple Guide to Multi-Factor Productivity. Available Online at https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/methodologies/asimpleguidetomultifactorproductivity, Accessed on 26th July 2019

Goodridge, P., Haskel, J., Wallis, G., 2018. Accounting for the UK Productivity Puzzle: A Decomposition and Predictions. Economica, Volume 85, pp. 581–605

Groot, W., 1998. Empirical Estimates of the Rate of Depreciation of Education. Applied Economics Letters, Volume 5(8), pp. 535–538

Harris, R., Moffat, J., 2017. The UK Productivity Puzzle, 2008–2012: Evidence using Plant-Level Estimates of Total Factor Productivity. Oxford Economic Papers, Volume 69(3), pp. 529–549

Haskel, J., Westlake, S., 2018. Capitalism without Capital. Oxford: Princetown University

Kaufman, J.J., Woodhead, R.M., 2006. Stimulating Innovation in Products and Services. Hoboken NJ: Wiley

Kroes, P.A., 1998. Technological Explanations: the Relation between Structure and Function of Technological Objects, Virginia Tech, Volume 3(3), pp. 124–134

Leonard-Barton, D., 1995. Wellsprings of Knowledge; Building and Sustaining the Sources of Innovation. Boston, Mass: Harvard Business School Press

Male, S., Gronqvist M., Kelly, J., Graham, D., 2007. Managing Value as a Management Style for Projects. International Journal of Project Management, Volume 25(2), pp.  107–114

Marx, K., Engels, F., 1976. Marx-Engels Collected Works: Volume 6: Marx and Engels, 1845–1848. New York: International Publishers

Nonneman, W., Vanhoudt, P., 1995. A Further Augmentation of the Solow Model and the Empirics of Economic Growth for OECD Countries. The Quarterly Journal of Economics, Volume 111(3), pp. 943­–953

Romer, P.M., 1990a. Endogenous Technological Progress. Journal of Political Economy, Volume 98(5), pp. 71–102

Romer, P.M., 1990b. Capital, Labor, and Productivity. Brookinigs Papers: Microecononmics

Rosenberg, N., 2004. Innovation and Economic Growth. Paris, France: Organisation for Economic Cooperation and Development (OECD)

Schumpeter, J., 1942. Capitalism, Socialism and Democracy.  3rd Edition. New York: Harper & Row

Seni, D.A., 2005. Function Models: A General Framework for Technological Design. Value World, Volume 28(2), pp. 8–11

Smith, A., 1776. An Inquiry into the Nature and Causes of the Wealth of Nations. Chicago, USA: The University of Chicago Press. ISBN: 0-226-76374-9

Solow, R., 1956. A Contribution to the Theory of Economic Growth. The Quarterly Journal of Economics, Volume 70(1), pp. 65–94

Solow, R.M., 1957. Technological Progress and the Aggregate Production Function. Review of Economics and Statistics, Volume 39, pp. 312–320

Swan, T.W., 1956. Economic Growth and Capital Accumulation. Economic Record, Volume 32, pp. 334–361

Teece D.J., 2015. Intangible Assets and a Theory of Heterogeneous Firms. Forthcoming chapter for Bounfour A., Miyagawa T. (eds), Intangibles, Market Failure and Innovation Performance. New York: Springer

Teschl, E., 2018. An Analysis of Expectations in Industrial Value Engineering Projects. European Journal of Business Science and Technology, Volume 4(2), pp. 196–215

Visser, W., 2019. Integrated Value Management: Implementing Sustainable Transformation. AMS Sustainable Transformation Briefing Series, Belgium: Antwerp Management School

Wiratmadja, I.I., Govindaraju, R., Handayani, D., 2016. Innovation and Productivity in Indonesian IT Clusters: The Influence of External Economies and Joint Action. International Journal of Technology, Volume 7(6), pp. 1097–1106

Woodhead, R.M., 2001. An Investigation of the Early Stages of Project Formulation. Facilities, Volume 18(13-14), pp. 524–534

Woodhead, R.M., 2012. What is Technology? International Journal of Sociotechnology and Knowledge Development, Volume 4(2), pp 1–13

Woodhead, R.M., Male, S.P., 2000. The Conditioning Effect of Objective Decision Making on the Client’s Capital Proposal. Engineering Construction and Architectural Management, Volume 7(3), pp. 300–306