Value Analysis Dashboard in Supply Chain Management: Real Case Study from Iran
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.
[1] 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.
[2] 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.
[3] 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.
[4] R. Kaplan, D. Norton, “The balanced scorecard: measures that drive
performance,” Harv Bus Rev, vol. 70, no.1, pp. 71–99, 1992.
[5] C. Salter, “A prescription for innovation, “Fast Company, vol.104, no.1,
pp. 83–86, 2006.
[6] A. Kothari, J. Lackner, “A value based approach to management,”
Journal of Business & Industrial Marketing, vol. 21, no. 4, pp. 243–249,
2008.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] P.M. Bentler, “Comparative fit indexes structural models,”
Psychometrika, vol.107, no.1, pp. 238–246, 1990.
[18] 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.
[19] 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.
[1] 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.
[2] 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.
[3] 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.
[4] R. Kaplan, D. Norton, “The balanced scorecard: measures that drive
performance,” Harv Bus Rev, vol. 70, no.1, pp. 71–99, 1992.
[5] C. Salter, “A prescription for innovation, “Fast Company, vol.104, no.1,
pp. 83–86, 2006.
[6] A. Kothari, J. Lackner, “A value based approach to management,”
Journal of Business & Industrial Marketing, vol. 21, no. 4, pp. 243–249,
2008.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] P.M. Bentler, “Comparative fit indexes structural models,”
Psychometrika, vol.107, no.1, pp. 238–246, 1990.
[18] 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.
[19] 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.
@article{"International Journal of Business, Human and Social Sciences:71296", author = "Seyedehfatemeh Golrizgashti and Seyedali Dalil", title = "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.", keywords = "Supply chain management, balanced scorecard,
value, Structural modeling, Stakeholders.", volume = "9", number = "11", pages = "3806-6", }