Skip to main content

Cross-functional Incentives for Purchasing-Logistics and Supplier Integration: With Evidence from China

  • Chapter
  • First Online:
Einkauf und Supply Chain Management

Part of the book series: ZfbF-Sonderheft ((ZFBFS,volume 76/21))

Abstract

The purpose of this paper is to introduce cross-functional incentives (CFI) as drivers of purchasing-logistics integration (PLI) and supplier integration (SI). Further, the aim of this study is to find out whether better PLI can increase SI and with it, also logistics performance. The authors develop and test a structural equation model with a partial-least-squares algorithm and a bootstrapping mediation analysis using data collected from 87 manufacturing firms in China. CFI significantly foster both PLI and SI. Further, CFI also indirectly increase SI through better PLI, and logistics performance through better SI. Finally, PLI also indirectly increases logistics performance through better SI. The CFI introduced in this study are confined to purchasing and logistics functions. Due to its novelty, the construct used was designed without specifying the nature of the incentives. Further research should analyze different configurations of incentives. The research provides practitioners with implementable means to promote inbound supply chain integration by setting up overlapping reward systems in the purchasing and logistics functions. The paper demonstrates that the lack of purchasing-logistics and supplier integration that exists in practice is a systemic issue rooted in unaligned incentives set for functional managers. It further shows the critical role that purchasing and logistics functions play when aiming to integrate suppliers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alchian, A. A., & Woodward, S. (1987). Reflections on the theory of the firm. Journal of Institutional and Theoretical Economics, 143(1), 110–136.

    Google Scholar 

  • Ashenbaum, B., & Terpend, R. (2010). The purchasing-logistics interface. A ‘scope of responsibility’ taxonomy. Journal of Business Logistics, 31(2), 177–194.

    Article  Google Scholar 

  • Bagozzi, R. P., & Phillips, L. W. (1982). Representing and testing organizational theories: A holistic construal. Administrative Science Quarterly, 27(3), 459–489.

    Article  Google Scholar 

  • Bagozzi, R. P., Yi, Y., & Philips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421–458.

    Article  Google Scholar 

  • Bowersox, D. J., Closs, D. J., & Stank, T. P. (1999). 21st century logistics: Making supply chain integration a reality. Oak Brook: Council of Logistics Management.

    Google Scholar 

  • Breitling, T. (2016). Koordination strategischer Beschaffungsentscheidungen zwischen Einkauf und Logistik: Empirische Analyse aus der Perspektive des Einkaufs. In R. Bogaschewsky, M. Eßig, R. Lasch, & W. Stölzle (Hrsg.), Supply Management Research: Aktuelle Forschungsergebnisse 2015 (S. 201–227). Wiesbaden: Springer Gabler.

    Chapter  Google Scholar 

  • Breitling, T. (2019). Koordination von Einkauf und Logistik. Gestalt, Einfluss und Wirkung der interfunktionalen Abstimmung strategischer Beschaffungsentscheidungen. In C. Bode, R. Bogaschewsky, M. Eßig, R. Lasch, & W. Stölzle (Hrsg.), Supply Management Research. Aktuelle Forschungsergebnisse 2019 (S. 47–97). Wiesbaden: Springer Gabler.

    Chapter  Google Scholar 

  • Cachon, G. P., & Fisher, M. (2000). Supply chain inventory management and the value of shared information. Management Science, 46(8), 1032–1047.

    Article  Google Scholar 

  • Campbell, J. P., McCloy, R. A., Oppler, S. H., & Sager, C. E. (1993). A theory of performance. In N. Schmitt & W. C. Borman (Hrsg.), Personnel selection (S. 35–70). San Francisco: Jossey-Bass.

    Google Scholar 

  • Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014). Intrinsic motivation and extrinsic incentives jointly predict performance: A 40-year meta-analysis. Psychological Bulletin, 140(4), 980–1008.

    Article  Google Scholar 

  • Chen, Y.-J. (2011). Structured methodology for supplier selection and evaluation in a supply chain. Information science, 181(9), 1651–1670.

    Article  Google Scholar 

  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Hrsg.), Modern methods for business research (S. 295–335). Mahwah: Erlbaum.

    Google Scholar 

  • Chin, W. W. (2010). How to write up and report PLS analyses. In V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Hrsg.), Handbook of partial least squares. Concepts, methods, and applications (S. 655–690). Berlin: Springer.

    Chapter  Google Scholar 

  • Christopher, M. (2011). Logistics and supply chain management: Creating value-adding networks. Harlow: Pearson Education.

    Google Scholar 

  • Coff, R., & Kryscynski, D. (2011). Invited editorial: Drilling for micro-foundations of human capital-based competitive advantages. Journal of Management, 37(5), 1429–1443.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale: Erlbaum.

    Google Scholar 

  • Cooper, J. C. (1993). Logistics strategies for global businesses. International Journal of Physical Distribution & Logistics Management, 23(4), 12–23.

    Article  Google Scholar 

  • Dejonckheere, J., Disney, S. M., Lambrecht, M. R., & Towill, D. R. (2004). The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective. European Journal of Operational Research, 153(3), 727–750.

    Article  Google Scholar 

  • Devaraj, S., Krajewski, L., & Wei, J. C. (2007). Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain. Journal of Operations Management, 25(6), 1199–1216.

    Article  Google Scholar 

  • Dittmann, J. P. (2012). Supply chain transformation: Building and executing an integrated supply chain strategy. New York: McGraw-Hill.

    Google Scholar 

  • Ellinger, A. E., Keller, S. B., & Hansen, J. D. (2006). Bridging the divide between logistics and marketing: Facilitating collaborative behavior. Journal of Business Logistics, 27(2), 1–27.

    Article  Google Scholar 

  • Ellram, L. M. (1995). Total cost of ownership. An analysis approach for purchasing. International Journal of Physical Distribution & Logistics Management, 25(8), 4–23.

    Article  Google Scholar 

  • Esper, T. L. (2007). Intercorporate coordination. In J. T. Mentzer, M. B. Myers, & T. P. Stank (Hrsg.), Global supply chain management (S. 443–454). Thousand Oaks: Sage.

    Google Scholar 

  • Fawcett, S. E., & Magnan, G. M. (2002). The rhetoric and reality of supply chain integration. International Journal of Physical Distribution & Logistics Management, 32(5), 339–361.

    Article  Google Scholar 

  • Fawcett, S. E., & McCarter, M. W. (2008). Behavioral issues in supply chain collaboration: Communicating the literature via interactive learning. International Journal of Integrated Supply Management, 4(2), 159–180.

    Article  Google Scholar 

  • Fawcett, S. E., Fawcett, A. M., Watson, B. J., & Magnan, G. M. (2012). Peeking inside the blackbox: Toward an understanding of Supply Chain Collaboration Dynamics. Journal of Supply Chain Management, 48(1), 44–72.

    Article  Google Scholar 

  • Fawcett, S. E., Magnan, G. M., & McCarter, M. W. (2008). Benefits, barriers, and bridges to effective supply chain management. Supply Chain Management: An International Journal, 13(1), 35–48.

    Article  Google Scholar 

  • Fawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C., & McCarter, M. W. (2007). Information sharing and supply chain performance: The role of connectivity and willingness. Supply Chain Management: An International Journal, 12(5), 358–368.

    Article  Google Scholar 

  • Fawcett, S. E., Wallin, C., Allred, C., Fawcett, A. M., & Magnan, G. M. (2011). Information technology as an enabler of supply chain collaboration: A dynamic-capabilities perspective. Journal of Supply Chain Management, 47(1), 38–59.

    Article  Google Scholar 

  • 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(1), 58–71.

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  • Gefen, D., Rigdon, E. E., & Straub, D. W. (2011). Editor’s comment: An update and extension to SEM guidelines for administrative and social science research. MIS Quarterly, 35(2), iii–xiv.

    Article  Google Scholar 

  • Gimenez, C., & Ventura, E. (2005). Logistics-production, logistics-marketing and external integration: Their impact on performance. International Journal of Operations & Production Management, 25(1), 20–38.

    Article  Google Scholar 

  • Greene, R. J. (2011). Rewarding performance: Guiding principles, custom strategies. New York: Routledge.

    Google Scholar 

  • Hair, J. F. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: Sage .

    Google Scholar 

  • Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy Marketing Science, 40(3), 414–433.

    Article  Google Scholar 

  • Harman, H. H. (1967). Modern factor analysis. Chicago: University of Chicago Press.

    Google Scholar 

  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.

    Google Scholar 

  • Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about partial least squares: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17(2), 182–209.

    Article  Google Scholar 

  • Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modelling in international marketing. Advances in International Marketing, 8(20), 277–319.

    Article  Google Scholar 

  • Huo, B., Han, Z., Zhao, X., Zhou, H., & Wood, C. H. (2013). The impact of institutional pressures on supplier integration and financial performance: Evidence from China. International Journal of Production Economics, 146(1), 82–94.

    Article  Google Scholar 

  • Kahn, K. B., & Mentzer, J. T. (1996). Logistics and interdepartmental integration. International Journal of Physical Distribution & Logistics Management, 26(8), 6–14.

    Article  Google Scholar 

  • Kanfer, R., Chen, G., & Pritchard, R. D. (2008). Work motivation: Past, present, and future. New York: Routledge.

    Book  Google Scholar 

  • Kaufmann, L., & Gaeckler, J. (2015). A structured review of partial least squares in supply chain management research. Journal of Purchasing and Supply Management, 21(4), 259–272.

    Article  Google Scholar 

  • Kent, J. L. (1996). Leverage 2: Interfunctional co-ordination between logistics and information technology. International Journal of Physical Distribution & Logistics Management, 26(8), 63–78.

    Article  Google Scholar 

  • Kim, D.-Y. (2013). Relationship between supply chain integration and performance. Operations Management Research, 6(1-2), 74–90.

    Article  Google Scholar 

  • Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10.

    Article  Google Scholar 

  • Lambert, D. M., & Harrington, T. C. (1990). Measuring nonresponse bias in customer service mail surveys. Journal of Business Logistics, 11(2), 5–25.

    Google Scholar 

  • Large, R. O. (2003). Interpersonelle Kommunikation und erfolgreiches Lieferantenmanagement. Eine Kausalanalyse des externen Kommunikationsverhaltens von Beschaffungsmanagern. Wiesbaden: Deutscher Universitäts-Verlag.

    Book  Google Scholar 

  • Large, R. O. (2013). Strategisches Beschaffungsmanagement: Eine praxisorientierte Einführung. Mit Fallstudien. Wiesbaden: Springer Gabler.

    Book  Google Scholar 

  • Leavitt, H. J. (1965). Applied organizational change in industry: Structural, technical and humanistic approaches. In J. G. March (Hrsg.), Handbook of organizations (S. 1144–1170). Chicago: Rand McNally.

    Google Scholar 

  • Lockström, M., Schadel, J., Harrison, N., Moser, R., & Malhotra, M. K. (2010). Antecedents to supplier integration in the automotive industry: A multiple-case study of foreign subsidiaries in China. Journal of Operations Management, 28(3), 240–256.

    Article  Google Scholar 

  • McCarter, M. W., Fawcett, S. E., & Magnan, G. M. (2005). The effect of people on the supply chain world: Some overlooked issues. Human Systems Management, 24(3), 197–208.

    Article  Google Scholar 

  • Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1–26.

    Article  Google Scholar 

  • Moberg, C. B., Speh, T. W., & Freese, T. L. (2003). SCM: Making the vision a reality. Supply Chain Management Review, 7(5), 34–40.

    Google Scholar 

  • Monczka, R. M., Handfield, R. B., Giunipero, L. C., & Patterson, J. L. (2011). Purchasing and supply chain management. Boston: Cengage Learning.

    Google Scholar 

  • Moon, M. A., Autry, C. W., & Pellathy, D. A. (2016). What it is, What it Isn’t, and Why you should care. In C. W. Autry & M. A. Moon (Hrsg.), Achieving supply chain integration: Connecting the supply chain inside and out for competitive advantage (S. 1–26). Old Tappan: Pearson Education.

    Google Scholar 

  • Moraitakis, N. (2017). Supply chain-based category strategies for global supply chain networks: An empirical analysis of the supply market for polyamide engineering thermoplastics in the automotive industry. Lohmar: Josef Eul.

    Google Scholar 

  • Motowildo, S. J., Borman, W. C., & Schmit, M. J. (1997). A theory of individual differences in task and contextual performance. Human Performance, 10(2), 71–83.

    Article  Google Scholar 

  • 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(3), 303–323.

    Article  Google Scholar 

  • O’Leary, S. W., & Vokurka, R. J. (1998). The empirical assessment of construct validity. Journal of Operations Management, 16(4), 387–405.

    Article  Google Scholar 

  • Pagell, M. (2004). Understanding the factors that enable and inhibit the integration of operations, purchasing and logistics. Journal of Operations Management, 22(5), 459–487.

    Article  Google Scholar 

  • Parker, G. G., & Anderson, E. G. (2002). From buyer to integrator: The transformation of the supply-chain manager in the vertically disintegrated firm. Production and Operations Management, 11(1), 75–91.

    Article  Google Scholar 

  • Pfohl, H.-C. (2018). Logistiksysteme: Betriebswirtschaftliche Grundlagen (9. Aufl.). Berlin: Springer-Vieweg.

    Book  Google Scholar 

  • Pfohl, H.-C. (2021). Logistikmanagement: Konzeption und Funktionen (4. Aufl.). Berlin: Springer-Vieweg.

    Book  Google Scholar 

  • Pfohl, H.-C., & Mueller, K. (2015). Collaboration and communication in a networked economy. Logforum, 12(2), 139–149.

    Google Scholar 

  • Pfohl, H.-C., Gomm, M., & Frunzke, H. (2009). Der Motivations-Mix des Personalmanagements: Ein abgestimmtes System von Anreizen zur Steigerung von Mitarbeitermotivation und -leistung in der Logistik. In H.-C. Pfohl (Hrsg.), Personalführung in der Logistik: Innovative Ansätze und praktische Lösungen (S. 1–91). Hamburg: Deutscher Verkehrs-Verlag.

    Google Scholar 

  • Picot, A., Dietl, H., & Franck, E. (2008). Organisation. Eine ökonomische Perspektive. Stuttgart: Schäffer-Poeschel.

    Google Scholar 

  • Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531–544.

    Article  Google Scholar 

  • Podsakoff, P. M., Mackenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Article  Google Scholar 

  • Prajogo, D., & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514–522.

    Article  Google Scholar 

  • Ralston, P. M., Blackhurst, J., Cantor, D. E., & Crum, M. R. (2015). A structure-conduct-performance perspective of how strategic supply chain integration affects firm performance. Journal of Supply Chain Management, 51(2), 47–64.

    Article  Google Scholar 

  • Ravenscroft, S., & Haka, S. (1996). Incentive plans and opportunities for information sharing. Behavioral Research in Accounting, 8, 114–133.

    Google Scholar 

  • Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344.

    Article  Google Scholar 

  • Rockart, J. F., & Scott Morton, M. S. (1984). Implications of changes in information technology for corporate strategy. Interfaces, 14(1), 84–95.

    Article  Google Scholar 

  • Rodrigues, A. M., Stank, T. P., & Lynch, D. F. (2004). Linking strategy, structure, process, and performance in integrated logistics. Journal of Business Logistics, 25(2), 65–94.

    Article  Google Scholar 

  • Rönkkö, M., & Evermann, J. (2013). A critical examination of common beliefs about partial least squares path modeling. Organizational Research Methods, 16(3), 425–448.

    Article  Google Scholar 

  • Schneider, C. O., Bremen, P., Schönsleben, P., & Alard, R. (2013). Transaction cost economics in global sourcing: Assessing regional differences and implications for performance. International Journal of Production Economics, 141(1), 243–254.

    Article  Google Scholar 

  • Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of Operations Management, 30(1-2), 99–115.

    Article  Google Scholar 

  • Schumann, D. W., Tate, W. L., & Powell, W. A. (2016). Bridging the Integration Gap. In C. W. Autry & M. A. Moon (Hrsg.), Achieving supply chain integration: Connecting the supply chain inside and out for competitive advantage (S. 27–46). Old Tappan: Pearson Education.

    Google Scholar 

  • Slone, R., Dittmann, J., & Mentzer, J. T. (2010). New supply chain agenda: The 5 steps that drive real value. Boston: Harvard Business Press.

    Google Scholar 

  • Song, H., & Song, Y. F. (2009). Impact of inventory management flexibility on service flexibility and performance: Evidence from mainland Chinese firms. Transportation Journal, 48(3), 7–19.

    Google Scholar 

  • Stank, T. P., Dittmann, J. P., Autry, C. W., Peterson, K. J., Burnett, M. J., & Pellathy, D. A. (2016). Bending the chain: Deriving value from purchasing-logistics integration. In C. W. Autry & M. A. Moon (Hrsg.), Achieving supply chain integration: Connecting the supply chain inside and out for competitive advantage (S. 89–122). Old Tappan: Pearson Education.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Stock, J. R., & Lambert, D. M. (2000). Strategic logistics management. Boston: McGraw-Hill.

    Google Scholar 

  • Storey, J., Emberson, C., Godsell, J., & Harrison, A. (2006). Supply chain management: Theory, practice and future challenges. International Journal of Operations & Production Management, 26(7), 754–774.

    Article  Google Scholar 

  • Sweeney, E. (2013). The people dimension in logistics and supply chain management—Its role and importance. In R. Passaro & A. Thomas (Hrsg.), Supply chain management: Perspectives, issues and cases (S. 73–82). Milan: McGraw-Hill.

    Google Scholar 

  • Thomas, R. (2014). In modern supply chains, the soft stuff is the hard stuff. International Journal of Physical Distribution & Logistics Management, 44(6). https://doi.org/https://doi.org/10.1108/IJPDLM-05-2014-0100.

  • Tokar, T. (2010). Behavioral research in logistics and supply chain management. International Journal of Logistics Management, 21(1), 89–103.

    Article  Google Scholar 

  • Vitasek, K. (2016). Supplier integration via vested relationship. In C. W. Autry & M. A. Moon (Hrsg.), Achieving supply chain integration: Connecting the supply chain inside and out for competitive advantage (S. 203–237). Old Tappan: Pearson Education.

    Google Scholar 

  • Vroom, V. H. (1964). Work and motivation. New York: Wiley.

    Google Scholar 

  • Wagner, W. B. (1987). The role and relevance of improved purchasing for logistics. Journal of Business Logistics, 8(1), 61–78.

    Google Scholar 

  • Wouters, M., Anderson, J. C., & Wynstra, F. (2005). The adoption of total cost of ownership for sourcing decisions—A structural equations analysis. Accounting, Organizations and Society, 30(2), 167–191.

    Article  Google Scholar 

  • Zhao, X., Huo, B., Selen, W., & Yeung, H. Y. (2011). The impact of internal integration and relationship commitment on external integration. Journal of Operations Management, 29(1-2), 17–32.

    Article  Google Scholar 

  • Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hans-Christian Pfohl .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Pfohl, HC., Moraitakis, N. (2021). Cross-functional Incentives for Purchasing-Logistics and Supplier Integration: With Evidence from China. In: Bogaschewsky, R. (eds) Einkauf und Supply Chain Management. ZfbF-Sonderheft, vol 76/21. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-32895-5_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-32895-5_10

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-32894-8

  • Online ISBN: 978-3-658-32895-5

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics