The impact of human resources on the agility, flexibility and performance of wine supply chains  

https://doi.org/10.17221/23/2016-AGRICECONCitation:Garcia-Alcaraz J.L., Maldonado-Macias A.A., Hernandez-Arellano J.L., Blanco-Fernandez J., Jimenez-Macias E., Saenz-Diez Muro J.C. (2017): The impact of human resources on the agility, flexibility and performance of wine supply chains  . Agric. Econ. – Czech, 63: 175-184.
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The research proposes a structural equation model (SEM) that integrates four latent variables: human resources skills, flexibility, agility, and the economic supply chain (SC) performance for wineries that together include fifteen observed variables. The data was obtained from 64 surveys applied to managers in the wineries in La Rioja, Spain. Direct, the indirect and total effects are analysed to prove six hypotheses that relate the aforementioned latent variables. The results indicate that the skills of human resources are a source of flexibility and agility in the supply chain for wineries in La Rioja and thus a direct and indirect source of economic performance.
References:
Alfalla-Luque Rafaela, Marin-Garcia Juan A., Medina-Lopez Carmen (2014): An analysis of the direct and mediated effects of employee commitment and supply chain integration on organisational performance. International Journal of Production Economics, , - https://doi.org/10.1016/j.ijpe.2014.07.004
 
Blanchard D. (2010): Supply Chain Management Best Practices. 2nd ed. John Wiley & Sons.
 
Blome C., Schoenherr T., Eckstein D. (2014a): The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view. International Journal of Production Economics, 147, Part B: 307–316.
 
Böhm A.C., Leone H.P., Henning G.P. (2007): Industrial supply chains: Performance measures, metrics and benchmarks. In: Valentin P., Şerban A.P. (eds): Computer Aided Chemical Engineering, 24: 757–762.
 
Das Kanchan (2011): Integrating effective flexibility measures into a strategic supply chain planning model. European Journal of Operational Research, 211, 170-183 https://doi.org/10.1016/j.ejor.2010.12.006
 
Gligor D.M., Esmark C.L., Holcomb M.C. (2015): Performance outcomes of supply chain agility: When should you be agile? Journal of Operations Management, 33–34: 71–82.
 
Gunasekaran A, Patel C, McGaughey Ronald E (2004): A framework for supply chain performance measurement. International Journal of Production Economics, 87, 333-347 https://doi.org/10.1016/j.ijpe.2003.08.003
 
Hassini Elkafi, Surti Chirag, Searcy Cory (2012): A literature review and a case study of sustainable supply chains with a focus on metrics. International Journal of Production Economics, 140, 69-82 https://doi.org/10.1016/j.ijpe.2012.01.042
 
Jin Yan, Vonderembse Mark, Ragu-Nathan T.S., Smith Joy Turnheim (2014): Exploring relationships among IT-enabled sharing capability, supply chain flexibility, and competitive performance. International Journal of Production Economics, 153, 24-34 https://doi.org/10.1016/j.ijpe.2014.03.016
 
Kaiser H. (2010): Mathematical Programming for Agricultural, Environmental and Resource Economics. Wiley.
 
Ketkar Manisha, Vaidya O.S. (2012): Study of Emerging Issues in Supply Risk Management in India. Procedia - Social and Behavioral Sciences, 37, 57-66 https://doi.org/10.1016/j.sbspro.2012.03.275
 
Kock Ned (2013): Using WarpPLS in E-Collaboration Studies. International Journal of e-Collaboration, 9, 1-12 https://doi.org/10.4018/jec.2013070101
 
Lengnick-Hall Mark L., Lengnick-Hall Cynthia A., Rigsbee Carolee M. (2013): Strategic human resource management and supply chain orientation. Human Resource Management Review, 23, 366-377 https://doi.org/10.1016/j.hrmr.2012.07.002
 
Li Y., Kramer M.R., Beulens A.J.M., van der Vorst J.G.A.J. (2010): A framework for early warning and proactive control systems in food supply chain networks. Computers in Industry, 61, 852-862 https://doi.org/10.1016/j.compind.2010.07.010
 
Lin Ching-Torng, Chiu Hero, Tseng Yi-Hong (2006): Agility evaluation using fuzzy logic. International Journal of Production Economics, 101, 353-368 https://doi.org/10.1016/j.ijpe.2005.01.011
 
Mourtzis D., Doukas M. (2014): Design and Planning of Manufacturing Networks for Mass Customisation and Personalisation: Challenges and Outlook. Procedia CIRP, 19, 1-13 https://doi.org/10.1016/j.procir.2014.05.004
 
Petter S., Straub D., Rai A. (2007): Specifying formative constructs in information systems research. MIS Quarterly, 31: 623–656.
 
Rexhausen Daniel, Pibernik Richard, Kaiser Gernot (2012): Customer-facing supply chain practices—The impact of demand and distribution management on supply chain success. Journal of Operations Management, 30, 269-281 https://doi.org/10.1016/j.jom.2012.02.001
 
Searcy Cory, McCartney Daryl, Karapetrovic Stanislav (2007): Sustainable development indicators for the transmission system of an electric utility. Corporate Social Responsibility and Environmental Management, 14, 135-151 https://doi.org/10.1002/csr.124
 
Seebacher Gottfried, Winkler Herwig (2015): A capability approach to evaluate supply chain flexibility. International Journal of Production Economics, 167, 177-186 https://doi.org/10.1016/j.ijpe.2015.05.035
 
Sherehiy Bohdana, Karwowski Waldemar, Layer John K. (2007): A review of enterprise agility: Concepts, frameworks, and attributes. International Journal of Industrial Ergonomics, 37, 445-460 https://doi.org/10.1016/j.ergon.2007.01.007
 
Soin S.S. (2004): Critical Success Factors in Supply Chain Management at High Technology Companies. University of Shouthern Queensland, Australia, 2004.
 
Zhao G., Feng T., Wang D. (2015): Is more supply chain integration always beneficial to financial performance? Industrial Marketing Management, 45: 162–172.
 
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