Commenced in January 2007
Paper Count: 31340
Value Analysis Dashboard in Supply Chain Management: Real Case Study from Iran
Abstract:The goal of this paper is proposing a supply chain value dashboard in home appliance manufacturing firms to create more value for all stakeholders via balanced scorecard approach. Balanced scorecard is an effective approach that managers have used to evaluate supply chain performance in many fields but there is a lack of enough attention to all supply chain stakeholders, improving value creation and, defining correlation between value indicators and performance measuring quantitatively. In this research the key stakeholders in home appliance supply chain, value indicators with respect to create more value for stakeholders and the most important metrics to evaluate supply chain value performance based on balanced scorecard approach have been selected via literature review. The most important indicators based on expert’s judgment acquired by in survey focused on creating more value for. Structural equation modelling has been used to disclose relations between value indicators and balanced scorecard metrics. The important result of this research is identifying effective value dashboard to create more value for all stakeholders in supply chain via balanced scorecard approach and based on an empirical study covering ten home appliance manufacturing firms in Iran. Home appliance manufacturing firms can increase their stakeholder's satisfaction by using this value dashboard.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1109828Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1792
 J.H. Heinrichs, J. Lim, “Integrating web-based data mining tools with business models for knowledge management,” Decision Support Systems, vol. 35, no.1, pp. 103-12, 2003.
 M. Bahri, MJ. Tarokh, “A seller-buyer supply chain model with exponential distribution lead time,” Journal of Industrial Engineering International, vol.8, no, 13, pp. 1-7, 2012.
 A. Gunasekaran, C. Patel, and E. Tirtiroglu, “Performance measures and Metrics in a supply chain environment,” International Journal of Production and Operations Management, vol. 21, no.1/2, pp. 71–87, 2001.
 R. Kaplan, D. Norton, “The balanced scorecard: measures that drive performance,” Harv Bus Rev, vol. 70, no.1, pp. 71–99, 1992.
 C. Salter, “A prescription for innovation, “Fast Company, vol.104, no.1, pp. 83–86, 2006.
 A. Kothari, J. Lackner, “A value based approach to management,” Journal of Business & Industrial Marketing, vol. 21, no. 4, pp. 243–249, 2008.
 S.M. Seyedhosseini, S.F. Golrizgashti, “Vital value drives in supply chain, (Published Conference Proceedings style)” in Proc. 25th Annu. IABD Conf. International Academy of Business Disciplines, Atlanta, 2013, pp.11-13.
 S.F. Golrizgashti, “Effect of knowledge management on supply chain value, Emprical evidence from Iran,” International journal of business performance and supply chain modeling (Accepted for publication), 2015.
 K. Yiannis, “Balanced scorecard: application in the General Panarcadian Hospital of Tripolis, Greece,” International Journal of Health Care Quality Assurance, vol. 26, no.4, pp. 286-307, 2013.
 M. Ibrahim, “Investigating the use of four perspective of balanced scorecard as technique for assessing Nigerian banks, performance by, “Journal of accounting and taxation, vol.7, no.4, pp. 62-70, 2015.
 M. Hakkak, M. Ghodsi, “Development of a sustainable competitive advantage model based on balanced scorecard,” International Journal of Asian Social Science, vol. 5, no.5, pp. 298–308, 2015.
 S.F. Golrizgashti, “Supply chain value creation methodology under BSC approach,” Journal of Industrial Engineering International, DOI 10.1007/s40092-014-0067-5, vol. 10, no.67, pp. 1-15, 2014.
 P.M. Bentler, D.G. Bonett, “Significance tests and goodness of fit in the analysis of covariance structures,” Psychological Bulletin, vol.88, no.3, pp. 588–606, 1980.
 DL. Streiner, “Starting at the beginning: an introduction to coefficient alpha and internal consistency,” Journal of Personality Assessment, vol. 80, no.1, pp. 99–103, 2003.
 D. De Vaus, Surveys in Social Research. (5th edition). London: Routledge. (The earlier editions, published by George Allen & Unwin and by UCL Press are still relevant), 2001.
 B. Wheaton, B. Muthe´n, D.F. Alwin, and G.F. Summers, “Assessing reliability and stability in panel models, Sociological Methodology, vol.8, no.1, pp. 84–136, 1977.
 P.M. Bentler, “Comparative fit indexes structural models,” Psychometrika, vol.107, no.1, pp. 238–246, 1990.
 P.M. Bentler, D.G. Bonett, “Significance tests and goodness of fit in the analysis of covariance structures,” Psychological Bulletin, vol. 88, no.1, pp. 588–606, 1980.
 M.W. Browne, R. Cudeck, “Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.),” Testing Structural Equation Models. Newbury Park, CA: Sage, 1993.