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The Role of Employees’ Performance and External Knowledge Transfer on the Supply Chain Flexibility

  • José Roberto Díaz-Reza
  • Jorge Luis García-AlcarazEmail author
  • Liliana Avelar-Sosa
  • José Roberto Mendoza-Fong
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 166)

Abstract

This chapter reports a structural equation model which relate four latent variables associated with employee performance, knowledge transfer, supply chain complexity and flexibility, which incorporate 17 observed variables. The latent variables are related through 6 hypotheses that are tested with data gather from 269 responses to a questionnaire applied to the Mexican maquiladora industry in Mexico. The model is executed using the partial least squares technique to analyze the direct, indirect, and total effects. In the same way, the probabilities of occurrence are obtained in an independent manner, jointly and conditionally for the latent variables analyzed at their high and low levels for each of the hypotheses. Findings indicate that the external knowledge transfer is crucial within the supply chains, since it explains 44.6% of its complexity, 19.5% of the employees’ performance, as well as 10.6% of the supply chain flexibility.

Keywords

Supply chain Maquiladoras Structural equation modeling Supply chain flexibility Supply chain complexity 

References

  1. 1.
    Adamson, K.A., Prion, S.: Reliability: measuring internal consistency using cronbach’s α. Clin. Simul. Nurs. 9(2) (2013)CrossRefGoogle Scholar
  2. 2.
    Ajith Kumar, J., Ganesh, L.: Research on knowledge transfer in organizations: a morphology. J. Knowl. Manag. 13(4), 161–174 (2009)CrossRefGoogle Scholar
  3. 3.
    Alefari, M., Fernández Barahona, A.M., Salonitis, K.: Modelling manufacturing employees’ performance based on a system dynamics approach. Proc. CIRP 72, 438–443 (2018).  https://doi.org/10.1016/j.procir.2018.03.161CrossRefGoogle Scholar
  4. 4.
    Anderson, J.C., Rungtusanatham, M., Schroeder, R.G.: A theory of quality management underlying the Deming management method. Acad. Manag. Rev. 19(3), 472–509 (1994)CrossRefGoogle Scholar
  5. 5.
    Angkiriwang, R., Pujawan, I.N., Santosa, B.: Managing uncertainty through supply chain flexibility: reactive versus proactive approaches. Prod. Manuf. Res. 2(1), 50–70 (2014).  https://doi.org/10.1080/21693277.2014.882804CrossRefGoogle Scholar
  6. 6.
    Anitha, J.: Determinants of employee engagement and their impact on employee performance. Int. J. Prod. Perform. Manag. 63(3), 308–323 (2014).  https://doi.org/10.1108/IJPPM-01-2013-0008CrossRefGoogle Scholar
  7. 7.
    Argote, L., Ingram, P.: Knowledge transfer: a basis for competitive advantage in firms. Organ. Behav. Hum. Decis. Process. 82(1), 150–169 (2000).  https://doi.org/10.1006/obhd.2000.2893CrossRefGoogle Scholar
  8. 8.
    Avelar-Sosa, L., García-Alcaraz, J.L., Castrellón-Torres, J.P.: The effects of some risk factors in the supply chains performance: a case of study. J. Appl. Res. Technol. 12(5), 958–968 (2014).  https://doi.org/10.1016/S1665-6423(14)70602-9CrossRefGoogle Scholar
  9. 9.
    Avelar-Sosa, L., García-Alcaraz, J.L., Maldonado-Macías, A.A.: Evaluation of Supply Chain Performance - A Manufacturing Industry Approach. Management and Industrial Engineering. Springer International Publishing AG, Management and Industrial Engineering (2019a).  https://doi.org/10.1007/978-3-319-93876-9CrossRefGoogle Scholar
  10. 10.
    Avelar-Sosa, L., García-Alcaraz, J.L., Maldonado-Macías, A.A.: Models of manufacturing practices and integrative model. In: Avelar-Sosa, L., García-Alcaraz, J.L., Maldonado-Macías, A.A. (eds.) Evaluation of Supply Chain Performance: A Manufacturing Industry Approach, pp. 373–411. Springer International Publishing, Cham (2019b).  https://doi.org/10.1007/978-3-319-93876-9_15Google Scholar
  11. 11.
    Balboni, B., Marchi, G., Vignola, M.: Knowledge transfer in the context of buyer–supplier relationship: an analysis of a supplier’s customer portfolio. J. Bus. Res. 80, 277–287 (2017).  https://doi.org/10.1016/j.jbusres.2017.06.022CrossRefGoogle Scholar
  12. 12.
    Baum, J.A.C., Ingram, P.: Survival-enhancing learning in the Manhattan hotel industry, 1898–1980. Manage. Sci. 44(7), 996–1016 (1998).  https://doi.org/10.1287/mnsc.44.7.996zbMATHCrossRefGoogle Scholar
  13. 13.
    Beltrán-Martín, I., Bou-Llusar, J.C.: Examining the intermediate role of employee abilities, motivation and opportunities to participate in the relationship between HR bundles and employee performance. BRQ Bus. Res. Q. 21(2), 99–110 (2018).  https://doi.org/10.1016/j.brq.2018.02.001CrossRefGoogle Scholar
  14. 14.
    Blickle, G., Meurs, J.A., Zettler, I., Solga, J., Noethen, D., Kramer, J., Ferris, G.R.: Personality, political skill, and job performance. J. Vocat. Behav. 72(3), 377–387 (2008)CrossRefGoogle Scholar
  15. 15.
    Blome, C., Schoenherr, T., Eckstein, D.: The impact of knowledge transfer and complexity on supply chain flexibility: a knowledge-based view. Int. J. Prod. Econ. 147, 307–316 (2014)CrossRefGoogle Scholar
  16. 16.
    Bozarth, C.C., Warsing, D.P., Flynn, B.B., Flynn, E.J.: The impact of supply chain complexity on manufacturing plant performance. J. Oper. Manag. 27(1), 78–93 (2009)CrossRefGoogle Scholar
  17. 17.
    Bullen CV, Rockart JF (1981) A primer on critical success factorsGoogle Scholar
  18. 18.
    Chan, H., Wang, W.Y., Luong, L.H., Chan, F.T.: Flexibility and adaptability in supply chains: a lesson learnt from a practitioner. Supply Chain Manag.: An Int. J. 14(6), 407–410 (2009)CrossRefGoogle Scholar
  19. 19.
    Chand, P., Thakkar, J.J., Ghosh, K.K.: Analysis of supply chain complexity drivers for Indian mining equipment manufacturing companies combining SAP-LAP and AHP. Resour. Policy 59, 389–410 (2018).  https://doi.org/10.1016/j.resourpol.2018.08.011CrossRefGoogle Scholar
  20. 20.
    Chang, S.-C., Lin, R.-J., Chen, J.-H., Huang, L.-H.: Manufacturing flexibility and manufacturing proactiveness: empirical evidence from the motherboard industry. Ind. Manag. Data Syst. 105(8), 1115–1132 (2005)CrossRefGoogle Scholar
  21. 21.
    Chen, C.-J., Hsiao, Y.-C., Chu, M.-A.: Transfer mechanisms and knowledge transfer: the cooperative competency perspective. J. Bus. Res. 67(12), 2531–2541 (2014).  https://doi.org/10.1016/j.jbusres.2014.03.011CrossRefGoogle Scholar
  22. 22.
    Chih-Chien, W.: The influence of ethical and self-interest concerns on knowledge sharing intentions among managers: an empirical study. Int. J. Manag. 21(3), 370 (2004)Google Scholar
  23. 23.
    Childerhouse, P., Towill, D.R.: Reducing uncertainty in European supply chains. J. Manuf. Technol. Manag. 15(7), 585–598 (2004)CrossRefGoogle Scholar
  24. 24.
    Choi, T.Y., Krause, D.R.: The supply base and its complexity: implications for transaction costs, risks, responsiveness, and innovation. J. Oper. Manag. 24(5), 637–652 (2006)CrossRefGoogle Scholar
  25. 25.
    Cummings, L.L., Schwab, D.P.: Performance in Organizations: Determinants & Appraisal. Good Year Books (1973)Google Scholar
  26. 26.
    De Luca, P., Cano Rubio, M.: The curve of knowledge transfer: a theoretical model. Bus. Process Manag. J. 25(1), 10–26 (2018).  https://doi.org/10.1108/BPMJ-06-2017-0161CrossRefGoogle Scholar
  27. 27.
    Drzymalski, J.: A measure of supply chain complexity incorporating virtual arcs. J. Syst. Sci. Syst. Eng. 24(4), 486–499 (2015).  https://doi.org/10.1007/s11518-015-5290-0CrossRefGoogle Scholar
  28. 28.
    Fedoroff, N.V.: The global knowledge society. Science 335(6068), 503 (2012).  https://doi.org/10.1126/science.1219498CrossRefGoogle Scholar
  29. 29.
    Ganesan S (1994) Determinants of long-term orientation in buyer-seller relationships. The J. Market. 1–19MathSciNetCrossRefGoogle Scholar
  30. 30.
    García-Alcaraz, J.L., Prieto-Luevano, D.J., Maldonado-Macías, A.A., Blanco-Fernández, J., Jiménez-Macías, E., Moreno-Jiménez, J.M.: Structural equation modeling to identify the human resource value in the JIT implementation: case maquiladora sector. The Int. J. Adv. Manuf. Technol. 77(5), 1483–1497 (2015).  https://doi.org/10.1007/s00170-014-6561-5CrossRefGoogle Scholar
  31. 31.
    García, J.L., Maldonado, A.A., Alvarado, A., Rivera, D.G.: Human critical success factors for kaizen and its impacts in industrial performance. The Int. J. Adv. Manuf. Technol. 70(9), 2187–2198 (2014).  https://doi.org/10.1007/s00170-013-5445-4CrossRefGoogle Scholar
  32. 32.
    Giannakis, M.: Facilitating learning and knowledge transfer through supplier development. Supply Chain Manag.: An Int. J. 13(1), 62–72 (2008).  https://doi.org/10.1108/13598540810850328CrossRefGoogle Scholar
  33. 33.
    Goodall Jr., H.L.: Empowerment, culture, and postmodern organizing: deconstructing the Nordstrom employee handbook. J. Organ. Change Manag. 5(2), 25–30 (1992)CrossRefGoogle Scholar
  34. 34.
    Hassan, N., Razak, N.A., Mojolou, D.N., Aziz, R.A., Ali, S.: Critical factors in organizational change and employee performance. In: Hashim, R., Abdul Majeed, A.B. (eds.) Proceedings of the Colloquium on Administrative Science and Technology, Singapore, pp. 51–59. Springer, Singapore (2015)Google Scholar
  35. 35.
    He, Q., Gallear, D., Ghobadian, A.: Knowledge transfer: the facilitating attributes in supply-chain partnerships. Inf. Syst. Manag. 28(1), 57–70 (2011).  https://doi.org/10.1080/10580530.2011.536114CrossRefGoogle Scholar
  36. 36.
    Isik, F.: An entropy-based approach for measuring complexity in supply chains. Int. J. Prod. Res. 48(12), 3681–3696 (2010).  https://doi.org/10.1080/00207540902810593zbMATHCrossRefGoogle Scholar
  37. 37.
    Jin, Y., Vonderembse, M., Ragu-Nathan, T.S., Smith, J.T.: Exploring relationships among IT-enabled sharing capability, supply chain flexibility, and competitive performance. Int. J. Prod. Econ. 153, 24–34 (2014).  https://doi.org/10.1016/j.ijpe.2014.03.016CrossRefGoogle Scholar
  38. 38.
    Kaare, K.K., Otto, T.: Smart health care monitoring technologies to improve employee performance in manufacturing. Proc. Eng. 100, 826–833 (2015).  https://doi.org/10.1016/j.proeng.2015.01.437CrossRefGoogle Scholar
  39. 39.
    Kalwani, M.U., Narayandas, N.: Long-term manufacturer-supplier relationships: do they pay off for supplier firms? The J. Market. 1–16 (1995)CrossRefGoogle Scholar
  40. 40.
    Kang, P., Jiang, W.: The evaluation study on knowledge transfer effect of supply chain companies. In: Zhou, M. (ed.) Advances in Education and Management, pp. 440–447. Springer, Berlin, Heidelberg (2011)CrossRefGoogle Scholar
  41. 41.
    Kavilal, E.G., Prasanna Venkatesan, S., Harsh Kumar, K.D.: An integrated fuzzy approach for prioritizing supply chain complexity drivers of an Indian mining equipment manufacturer. Resour. Policy 51, 204–218 (2017).  https://doi.org/10.1016/j.resourpol.2016.12.008CrossRefGoogle Scholar
  42. 42.
    Kock, N: WarpPLS 5.0 User Manual. ScriptWarp Systems, Laredo, TX, USA (2015)Google Scholar
  43. 43.
    Kock, N.: WarpPLS User Manual: Version 6.0. Laredo, TX: Script Warp Systems (2017)Google Scholar
  44. 44.
    Kraljic, P.: Purchasing must become supply management. Harvard Bus. Rev. 61(5), 109–117 (1983)Google Scholar
  45. 45.
    Kumar, R., Singh, R.K., Shankar, R.: Critical success factors for implementation of supply chain management in Indian small and medium enterprises and their impact on performance. IIMB Manag. Rev. 27(2), 92–104 (2015).  https://doi.org/10.1016/j.iimb.2015.03.001CrossRefGoogle Scholar
  46. 46.
    Kumar, V., Fantazy, K.A., Kumar, U., Boyle, T.A.: Implementation and management framework for supply chain flexibility. J. Enterp. Inf. Manag. 19(3), 303–319 (2006)CrossRefGoogle Scholar
  47. 47.
    Marín García, J.A., Medina López, MdC, Alfalla Luque, R.: Is worker commitment necessary for achieving competitive advantage and customer satisfaction when companies use HRM and TQM practices? Universia Bus. Rev. 36, 64–88 (2012)Google Scholar
  48. 48.
    McDermott, R., O’dell, C.: Overcoming cultural barriers to sharing knowledge. J. Knowl. Manag. 5(1), 76–85 (2001)CrossRefGoogle Scholar
  49. 49.
    Moon, K.K.-L., Yi, C.Y., Ngai, E.W.T.: An instrument for measuring supply chain flexibility for the textile and clothing companies. Eur. J. Oper. Res. 222(2), 191–203 (2012).  https://doi.org/10.1016/j.ejor.2012.04.027CrossRefGoogle Scholar
  50. 50.
    Narasimhan, R., Talluri, S.: Perspectives on Risk Management in Supply Chains. Elsevier (2009)Google Scholar
  51. 51.
    Narasimhan, R., Talluri, S., Das, A.: Exploring flexibility and execution competencies of manufacturing firms. J. Oper. Manag. 22(1), 91–106 (2004)CrossRefGoogle Scholar
  52. 52.
    Narteh, B.: Knowledge transfer in developed-developing country interfirm collaborations: a conceptual framework. J. Knowl. Manag. 12(1), 78–91 (2008).  https://doi.org/10.1108/13673270810852403CrossRefGoogle Scholar
  53. 53.
    Nielsen, B.B.: Strategic fit, contractual, and procedural governance in alliances. J. Bus. Res. 63(7), 682–689 (2010)CrossRefGoogle Scholar
  54. 54.
    Ollila, S., Elmquist, M., Fredberg, T.: Exploring the field of open innovation. Eur. J. Innov. Manag. 12(3), 326–345 (2009).  https://doi.org/10.1108/14601060910974219CrossRefGoogle Scholar
  55. 55.
    Ooi, K.-B., Cheah, W.-C., Lin, B., Teh, P.-L.: TQM practices and knowledge sharing: An empirical study of Malaysia’s manufacturing organizations. Asia Pacific J. Manag. 29(1), 59–78 (2012)CrossRefGoogle Scholar
  56. 56.
    Özdemir, Aİ., Simonetti, B., Jannelli, R.: Determining critical success factors related to the effect of supply chain integration and competition capabilities on business performance. Qual. Quant. 49(4), 1621–1632 (2015).  https://doi.org/10.1007/s11135-014-0074-zCrossRefGoogle Scholar
  57. 57.
    Park, C., Vertinsky, I., Becerra, M.J.I.B.R.: Transfers of tacit versus explicit knowledge and performance in international joint ventures: the role of age. Int. Bus. Rev. 24(1):89–101 (2015)CrossRefGoogle Scholar
  58. 58.
    Probst, G., Romhardt, K., Raub, S.: Managing Knowledge: Building Blocks for Success. J. Wiley (2000)Google Scholar
  59. 59.
    Ragatz, G.L., Handfield, R.B., Petersen, K.J.: Benefits associated with supplier integration into new product development under conditions of technology uncertainty. J. Bus. Res. 55(5), 389–400 (2002)CrossRefGoogle Scholar
  60. 60.
    Ramezankhani, M.J., Torabi, S.A., Vahidi, F.: Supply chain performance measurement and evaluation: a mixed sustainability and resilience approach. Comput. Ind. Eng. 126, 531–548 (2018).  https://doi.org/10.1016/j.cie.2018.09.054CrossRefGoogle Scholar
  61. 61.
    Schomaker, M.S., Zaheer, S.: The role of language in knowledge transfer to geographically dispersed manufacturing operations. J. Int. Manag. 20(1), 55–72 (2014)CrossRefGoogle Scholar
  62. 62.
    Seebacher, G., Winkler, H.: A citation analysis of the research on manufacturing and supply chain flexibility. Int. J. Prod. Res. 51(11), 3415–3427 (2013).  https://doi.org/10.1080/00207543.2013.774483CrossRefGoogle Scholar
  63. 63.
    Serdarasan, S.: A review of supply chain complexity drivers. Comput. Ind. Eng. 66(3), 533–540 (2013)CrossRefGoogle Scholar
  64. 64.
    Slack, N.: The flexibility of manufacturing systems. Int. J. Oper. Prod. Manag. 7(4), 35–45 (1987)CrossRefGoogle Scholar
  65. 65.
    Stevenson, M., Spring, M.: Flexibility from a supply chain perspective: definition and review. Int. J. Oper. Prod. Manag. 27(7), 685–713 (2007)CrossRefGoogle Scholar
  66. 66.
    Swart, W., Hall, C., Chen, H.: Human performance in supply chain management. Supply Chain Forum: An Int. J. 13(2), 10–20 (2012).  https://doi.org/10.1080/16258312.2012.11517289CrossRefGoogle Scholar
  67. 67.
    Ulaga, W.: Capturing value creation in business relationships: a customer perspective. Ind. Mark. Manage. 32(8), 677–693 (2003)CrossRefGoogle Scholar
  68. 68.
    Ulaga, W., Eggert, A.: Value-based differentiation in business relationships: gaining and sustaining key supplier status. J. Market. 70(1), 119–136 (2006)CrossRefGoogle Scholar
  69. 69.
    Utar, H., Ruiz, L.B.T.: International competition and industrial evolution: evidence from the impact of Chinese competition on Mexican maquiladoras. J. Dev. Econ. 105, 267–287 (2013).  https://doi.org/10.1016/j.jdeveco.2013.08.004CrossRefGoogle Scholar
  70. 70.
    Wook Kim, S.: Effects of supply chain management practices, integration and competition capability on performance. Supply Chain Manag.: An Int. J. 11(3), 241–248 (2006).  https://doi.org/10.1108/13598540610662149CrossRefGoogle Scholar
  71. 71.
    Wright, P.M., Dunford, B.B., Snell, S.A.: Human resources and the resource based view of the firm. J. Manag. 27(6), 701–721 (2001)Google Scholar
  72. 72.
    Zhang, Q., Vonderembse, M.A., Lim, J.-S.: Value chain flexibility: a dichotomy of competence and capability. Int. J. Prod. Res. 40(3), 561–583 (2002)zbMATHCrossRefGoogle Scholar
  73. 73.
    Zhengyi, Y., Ronghua, J.: Artificial neural network and its application in the performance evaluation of enterprise of knowledge management research Guangxi. Soc. Sci. 126(12), 4 (2005)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • José Roberto Díaz-Reza
    • 1
  • Jorge Luis García-Alcaraz
    • 2
    Email author
  • Liliana Avelar-Sosa
    • 2
  • José Roberto Mendoza-Fong
    • 1
  1. 1.Department of Electric Engineering and ComputationUniversidad Autónoma de Ciudad JuárezJuárezMexico
  2. 2.Department of Industrial Engineering and ManufacturingUniversidad Autónoma de Ciudad JuárezJuárezMexico

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