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Supply chain integration scales validation and benchmark values

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Abstract (2. Language): 
Purpose: The clarification of the constructs of the supply chain integration (clients, suppliers, external and internal), the creation of a measurement instrument based on a list of items taken from earlier papers, the validation of these scales and a preliminary benchmark to interpret the scales by percentiles based on a set of control variables (size of the plant, country, sector and degree of vertical integration). Design/methodology/approach: Our empirical analysis is based on the HPM project database (2005- 2007 timeframe). The international sample is made up of 266 plants across ten countries: Austria, Canada, Finland, Germany, Italy, Japan, Korea, Spain, Sweden and the USA. In each country. We analized the descriptive statistics, internal consistency testing to purify the items (inter-item correlations, Cronbach’s alpha, squared multiple correlation, corrected item-total correlation), exploratory factor analysis, and finally, a confirmatory factor analysis to check the convergent and discriminant validity of the scales. The analyses will be done with the SPSS and EQS programme using the maximum likelihood parameter estimation method. Findings: The four proposed scales show excellent psychometric properties. Research limitations/implications: with a clearer and more concise designation of the supply chain integration measurement scales more reliable and accurate data could be taken to analyse the relations between these constructs with other variables of interest to the academic l fields. Practical implications: providing scales that are valid as a diagnostic tool for best practices, as well as providing a benchmark with which to compare the score for each individual plant against a collection of industrial companies from the machinery, electronics and transportation sectors. Originality/value: supply chain integration may be a major factor in explaining the performance of companies. The results are nevertheless inconclusive, the vast range of results obtained are due, amongst other things, to the fact that there is no exactness to the group of scales used, noone has yet published an analysis of the measurement models nor clear benchmarks as to the variety of the scales used.
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REFERENCES

References: 

Alfalla-Luque, R. & Medina-López, C. (2009). Supply Chain Management: Unheard of in the
1970s, core to today's company. Business History, 51(2), 202-221.
http://dx.doi.org/10.1080/00076790902726558
Alfalla-Luque, R., Medina-Lopez, C. & Dey, P.K. (2012). Supply chain integration framework
using literature review. Production, Planning and Control.
http://dx.doi.org/10.1080/09537287.2012.666870
Alfalla-Luque, R., Medina-Lopez, C. & Schrage, H. (2012). A study of supply chain integration
in the aeronautics sector. Production and Control. http://dx.doi.org/10.1080/09537287.2012.666868
Anderson, J.C. & Gerbing, D.W. (1988). Structural Equation Modeling in Practice: A Review and
Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411-423.
http://dx.doi.org/10.1037/0033-2909.103.3.411
-
Bagchi, P.K., Ha, B.C., Skjoett-Larsen, T., & Soerensen, L.B. (2005). Supply chain integration: a
European survey. The International Journal of Logistic Management, 16(2), 275-294.
http://dx.doi.org/10.1108/09574090510634557
Bagozzi, R.P. (1994). Structural Equation Models in marketing research: Basic principles. In
R.P.Bagozzi (Ed.), Principles of Marketing Research, pp. 317-385. Malden, MA: Blackwell
Publishers.
Baxter, R. (2009). Reflective and formative metrics of relationship value: A commentary essay.
Journal of Business Research, 62(12), 1370-1377. http://dx.doi.org/10.1016/j.jbusres.2008.12.004
Bayraktar, E., Jothishankar, M.C., Tatoglu, E., & Wu, T. (2007). Evolution of operations
management- past, present and future. Management Research News, 30(11), 843-871.
http://dx.doi.org/10.1108/01409170710832278
Bessant, J., Kaplinsky, R., & Morris, M. (2003). Developing capability through learning
networks. International Journal of Technology Management & Sustainable Development,
2(1), 19-38. http://dx.doi.org/10.1386/ijtm.2.1.19/0
Briscoe, G. & Dainty, A. (2005). Construction supply chain integration: An elusive goal? Supply
Chain Management: An International Journal, 10(4), 319-326.
http://dx.doi.org/10.1108/13598540510612794
Brown, T.A. (2006). Confirmatory factor analysis for applied research. Guilford Press.
Bruce, M., Daly, L., & Towers, N. (2004). Lean or agile - A solution for supply chain
management in the textiles and clothing industry? International Journal of Operations &
Production Management, 24(1-2), 151-170. http://dx.doi.org/10.1108/01443570410514867
Byrne, B. (2006). Structural equation modelling with EQS: Basic concepts, applications and
programming. London: Lawrence Erlbaum.
Cagliano, R., Caniato, F., & Spina, G. (2006). The linkage between supply chain integration and
manufacturing improvement programmes. International Journal of Operations and Production
Management, 26(3), 282-299. http://dx.doi.org/10.1108/01443570610646201
Carter, C.R., Sanders, N.R., & Dong, Y. (2008). Paradigms, revolutions, and tipping points: The
need for using multiple methodologies within the field of supply chain management. Journal
of Operations Management, 26(6), 693-696. http://dx.doi.org/10.1016/j.jom.2008.07.002
Chang, W.L., Ik-Whan, G.K., & Dennis, S. (2007). Relationship between supply chain
performance and degree of linkage among supplier, internal integration, and customer.
Supply Chain Management: An International Journal, 12(6), 444-452.
http://dx.doi.org/10.1108/13598540710826371
Danese, P., Formentini, M., Romano, P., & Bortolotti, T. (2010). An empirical study on the joint
effect of Supply Chain Integration and International Sourcing on Delivery Performance. Paper
presented at the Proceedings Euroma Conference 2010 Oporto, Portugal.
Doval Dieguez, E. & Viladrich Segués, M.C. (2011). Desarrollo y adaptación de cuestionarios
en el ámbito de la salud. Bellaterra: Laboratori d'Estadística Aplicada i de Modelització (UAB).
Escrig Tena, A.B. & Bou-Llusar, J.C. (2005). A model for evaluating organizational
competencies: An application in the context of a quality management initiative. Decision
Sciences, 36(2), 221-257. http://dx.doi.org/10.1111/j.1540-5414.2005.00072.x
Farrell, A.M. (2010). Insufficient discriminant validity: A comment on Bove, Pervan, Beatty and
Shiu (2009). Journal of Bussiness Research, 63(3), 324-327.
http://dx.doi.org/10.1016/j.jbusres.2009.05.003
Flynn, B.B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on
performance: A contingency and configuration approach. Journal of Operations Management,
28, 58-71. http://dx.doi.org/10.1016/j.jom.2009.06.001
Flynn, B.B., Wu, S.J., & Melnyk, S.A. (2010). Operational capabilities: Hidden in plain view.
Business Horizons, 53, 247-256. http://dx.doi.org/10.1016/j.bushor.2010.01.001
Fornell, C. & Larcker, D.F. (1981). Evaluating Structural Equation Models with Unobservable
Variables and Measurement Error. Journal of marketing research, 28, 39-50.
http://dx.doi.org/10.2307/3151312
Germain, R. & Iyer, K. (2006). The Interaction of Internal and Downstream Integration and its
Association with Performance. Journal of Business Logistics, 27(2), 29-52.
http://dx.doi.org/10.1002/j.2158-1592.2006.tb00216.x
Giménez, C. & Ventura, E. (2003). Supply Chain Management as a competitive advantage in
the Spanish grocery sector. International Journal of Logistics Management, 14(1), 77-88.
http://dx.doi.org/10.1108/09574090310806558
Hair, J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. (1999). Análisis de datos multivariante.
(4º ed.). Prentice Hall.
Harrison, A. & Van Hoek, R. (2005). Logistics Management and Strategy. Pearson Education.
Hayes, R.H. & Wheelwright, S.C. (1984). Restoring Our Competitive Edge: Competing Through
Manufacturing. New York: John Wiley & Sons.
Hofstede, G. (1998). Attitudes, values and organizational culture: Disentangling the concepts.
Organization Studies, 19(3), 477-492. http://dx.doi.org/10.1177/017084069801900305
Hsu, C., Kannan, V.R., Tan, K., & Leong, G.K. (2008). Information sharing, buyer-supplier
relationships, and firm performance: A multi-region analysis. International Journal of Physical
Distribution and Logistics Management, 38(4), 296-310.
http://dx.doi.org/10.1108/09600030810875391
Kannan, V.R. & Tan, K.C. (2005). Just in time, total quality management, and supply chain
management: understanding their linkages and impact on business performance. OmegaInternational Journal of Management Science, 33(2), 153-162.
http://dx.doi.org/10.1016/j.omega.2004.03.012
Kaynak, H. & Hartley, J.L. (2008). A replication and extension of quality management into the
supply chain. Journal of Operations Management, 26(4), 468-489.
http://dx.doi.org/10.1016/j.jom.2007.06.002
Kim, S.W. (2009). An investigation on the direct and indirect effect of supply chain integration
on firm performance. International Journal of Production Economics, 119(2), 328-346.
http://dx.doi.org/10.1016/j.ijpe.2009.03.007
Koufteros, X.A., Cheng, T.C.E., & Lai, K.H. (2007). ''Black-box'' and ''gray-box'' supplier
integration in product development: Antecedents, consequences and the moderating role of
firm size. Journal of Operations Management, 25, 847-870.
http://dx.doi.org/10.1016/j.jom.2006.10.009
Kulp, S.C., Lee, H.L., & Ofek, E. (2004). Manufacturer benefits from information integration
with retail customers. Management Science, 50(4), 461-444.
http://dx.doi.org/10.1287/mnsc.1030.0182
Li, S.H., Rao, S.S., Ragu-Nathan, T.S., & Ragu-Nathan, B. (2005). Development and validation
of a measurement instrument for studying supply chain management practices. Journal of
Operations Management, 23(6), 618-641. http://dx.doi.org/10.1016/j.jom.2005.01.002
Li, S., Ragu-Nathan, B., Ragu-Nathan, T.S., & Subba Rao, S. (2006). The impact of supply
chain management practices on competitive advantage and organizational performance.
Omega, 34(2), 107-124. http://dx.doi.org/10.1016/j.omega.2004.08.002
Lin, W.B. (2006). The exploration of employee involvement model. Expert Systems with
Applications, 31(1), 69-82. http://dx.doi.org/10.1016/j.eswa.2005.09.035
MacDuffie, J.P. & Helper, S. (1997). Creating Lean Suppliers - Diffusing Lean Production
Throughout the Supply Chain. California Management Review, 39(4), 118-151.
http://dx.doi.org/10.2307/41165913
Martinez Jurado, P.J. & Moyano Fuentes, J. (2011). Lean Production y gestión de la cadena de
suministro en la industria aeronáutica. Investigaciones Europeas de Dirección y Economía de
la Empresa, 17(1), 137-157. http://dx.doi.org/10.1016/S1135-2523(12)60048-3
Narasimhan, R. & Kim, S.W. (2002). Effect of supply chain integration on the relationship
between diversification and performance: evidence from Japanese and Korean firms. Journal
of Operations Management, 20, 303-323. http://dx.doi.org/10.1016/S0272-6963(02)00008-6
Oliver, N. & Delbridge, R. (2002). The characteristics of high performing supply chains.
International Journal of Technology Management, 23(1-3), 60-73.
http://dx.doi.org/10.1504/IJTM.2002.002998
Pagell, M., Katz, J. P., & Sheu, C. (2005). The importance of national culture in operations
management research. International Journal of Operations and Production Management,
25(4), 71-394. http://dx.doi.org/10.1108/01443570510585552
Pagell, M. & LePine, J.A. (2002). Multiple case studies of team effectiveness in manufacturing
organizations. Journal of Operations Management, 20(5), 619-639.
http://dx.doi.org/10.1016/S0272-6963(02)00030-X
Roth, A.V., Schroeder, R.G., Huang, X., & Kristal, M.M. (2008). Handbook of metrics for
research in Operations Management multi-item measurement scales and objective items.
New york: SAGE publications.
Sanders, N.R. (2005). IT Alignment in Supply Chain Relationships: A Study of Supplier
Benefits. The Journal of Supply Chain Management, Spring 4-13.
http://dx.doi.org/10.1111/j.1055-6001.2005.04102001.x
Sanders, N.R. & Premus, R. (2005). Modeling the relationship between firm IT capability,
collaboration, and performance. Journal of Business Logistics, 26(1), 1-23.
http://dx.doi.org/10.1002/j.2158-1592.2005.tb00192.x
Sezen, B. (2008). Relative effects of design, integration and information sharing on supply
chain performance. Supply Chain Management: An International Journal, 13(3), 233-240.
http://dx.doi.org/10.1108/13598540810871271
Sila, I. (2007). Examining the effects of contextual factors on TQM and performance through
the lens of organizational theories: An empirical study. Journal of Operations Management,
25(1), 83-109. http://dx.doi.org/10.1016/j.jom.2006.02.003
Spreitzer, G.M. (1995). Psychological Empowerment in the Workplace - Dimensions,
Measurement, and Validation. Academy of management Journal, 38(5), 1442-1465.
http://dx.doi.org/10.2307/256865
Stank, T.P., Keller, S. B., & Daugherty, P.J. (2001). Supply chain collaboration and logistical
service performance. Journal of Business Logistics, 22(1), 29-48.
http://dx.doi.org/10.1002/j.2158-1592.2001.tb00158.x
Swink, M. & Nair, A. (2007). Capturing the competitive advantages of AMT: Designmanufacturing integration as a complementary asset. Journal of Operations Management,
25(3), 736-754. http://dx.doi.org/10.1016/j.jom.2006.07.001
Tan, K.C., Lyman, S.B., & Wisner, J.D. (2002). Supply chain management: a strategic
perspective. International Journal of Operations & Production Management, 22(5), 614-631.
http://dx.doi.org/10.1108/01443570210427659
Tari, J.J., Molina, J.F., & Castejón, J.L. (2007). The relationship between quality management
practices and their effects on quality outcomes. European Journal of Operational Research,
183(2), 483-501. http://dx.doi.org/10.1016/j.ejor.2006.10.016
Thun, J.H. (2010). Angles of integration: an empirical analysis of the alignment of internetbased information technology and global supply chain integration. Journal of Supply Chain
Management, 46(2), 30-44. http://dx.doi.org/10.1111/j.1745-493X.2010.03188.x
Topolsek, D. (2011). The impact of collaboration or collaborative behaviour on the level of
internal integration: Case study of Slovenian retailers and motor vehicle repair companies.
African Journal of Business Management, 5(26), 10345-10354.
Ullman, J.B. & Bentler, P.M. (2004). Structural Equation Modeling. In M.Hardy & A. Bryman
(Eds.), Handbook of Data Analysis, pp. 431-458. SAGE.
http://dx.doi.org/10.4135/9781848608184.n19
Underhill, G. (2001). Productivity in Small and Medium Enterprises. Management Services,
45(4), 8-12.
Vachon, S. & Klassen, R.D. (2007). Supply chain management and environmental
technologies: The role of integration. International Journal of Production Research, 45(2),
401-423. http://dx.doi.org/10.1080/00207540600597781
Vickery, S.K., Jayaram, J., Droge, C., & Calantone, R. (2003). The effects of an integrative
supply chain strategy on customer service and financial performance: An analysis of direct
versus indirect relationships. Journal of Operations Management, 21(5), 523-539.
http://dx.doi.org/10.1016/j.jom.2003.02.002
Viladrich Segués, M.C. & Doval Dieguez, E. (2011). Medición: fiabilidad y validez. Bellaterra:
Laboratori d'Estadística Aplicada i de Modelització (UAB).
Wong, C.Y. & Boon-Itt, S. (2008). The influence of institutional norms and environmental
uncertainty on supply chain integration in the Thai automotive industry. International Journal
of Production Economics, 115(2), 400-410. http://dx.doi.org/10.1016/j.ijpe.2008.05.012
-439-
Zhao, X., Huo, B., Selen, W., & Yeung, J.H.Y. (2011). The impact of internal integration and
relationship commitment on external integration. Journal of Operations Management,
29(1-2), 17-32. http://dx.doi.org/10.1016/j.jom.2010.04.004
Zhu, Q., Sarkis, J., & Lai, K.h. (2008). Confirmation of a measurement model for green supply
chain management practices implementation. International Journal of Production Economics,
111(2), 261-273. http://dx.doi.org/10.1016/j.ijpe.2006.11.029

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