nach oben

Erschienen in:

2018 | OriginalPaper | Buchkapitel

3. Modeling Risk Emergence and Propagation in Buyer-Supplier-Customer Relationships

verfasst von : Kristian Rotaru, Mehrdokht Pournader

Erschienen in: Supply Chain Risk Management

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The present study aims to identify and formalize the structural and relational patterns, which account for risk emergence and propagation in buyer-supplier-customer service triads. Following the guidelines of the design science research approach and based on the existing literature, buyer-supplier-customer service triads are categorized into a coherent typology according to the role that each supply chain dyad plays in the emergence and propagation of risk within the triad it forms. In the context of this study, such triads are referred to as Risk-aware Service Triads (RaSTs). To explore all the feasible forms of RaSTs, including the ones that have not yet been addressed in the literature, this study adopts the formalism of weighted directed graphs. As a result, a typology based on thirty different types of RaSTs is suggested. This typology allows: (i) to systematize and formally represent a variety of hypothetical scenarios when each of the dyadic structures within buyer-supplier-customer service triads acts as risk trigger, risk taker or risk neutral component of the respective RaST; and (ii) to calculate the maximal and minimal risk index specific to each of the identified type of RaST, thereby facilitating the identification and assessment of risk exposures associated with buyer-supplier-customer service triads. An illustrative example of how the methodological approach underlying the suggested RaST typology facilitates risk assessment in service triads and service networks is presented.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Cost-Effectiveness and Manageability Based Prioritisation of Supply Chain Risk Mitigation Strategies

Nächstes Kapitel Managing Reputational Risks in Supply Chains

Nur mit Berechtigung zugänglich

For the matrices shown in the Figs. 3.1, 3.2 and 3.3, the values for all diagonals equal to 0 as the RaST models presented in these figures do not account for risks/vulnerabilities inherent in the processes of each node (i.e. each member of the supply chain triad). This assumption is dictated by the fact that the focus of the RaSTs depicted in these figures is on network risks (risks imposed by one RaST member to another). However, for the purpose of calculating the RIs, it is assumed that all the diagonals are equal to 1. Indeed, if the diagonal values are considered as being equal to 0, this would result in 0 permanent for all RaSTs, thereby making problematic the calculation of the corresponding RIs. On the other hand, assuming the diagonal values equal to 1 allows to acquire meaningful (non-zero) values for RIs and thus to compare the risk levels of different RaSTs.

For additional information we suggest to refer to the extant literature on measuring matrix permanent for matrices with unlimited number of nodes, e.g.(Glynn 2010)

Aravind Raj, S., Sudheer, A., Vinodh, S., & Anand, G. (2013). A mathematical model to evaluate the role of agility enablers and criteria in a manufacturing environment. International journal of production research, 51(19), 5971–5984. doi: 10.1080/00207543.2013.825381

Barratt, M., Choi, T. Y., & Li, M. (2011). Qualitative case studies in operations management: Trends, research outcomes, and future research implications. Journal of Operations Management, 29(4), 329–342. doi:10.1016/j.jom.2010.06.002

Bastl, M., Johnson, M., & Choi, T. Y. (2013). Who’s seeking whom? Coalition behavior of a weaker player in buyer–supplier relationships. Journal of Supply Chain Management, 49(1), 8–28. doi:10.1111/j.1745-493x.2012.03274.x

Bastl, M., Johnson, M., Lightfoot, H., & Evans, S. (2012). Buyer-supplier relationships in a servitized environment: An examination with Cannon and Perreault’s framework. International Journal of Operations & Production Management, 32(6), 650–675.CrossRef

Bellamy, M. A., & Basole, R. C. (2013). Network analysis of supply chain systems: A systematic review and future research. Systems Engineering, 16(2), 235–249. doi:10.1002/sys.21238

Bezuidenhout, C. N., Bodhanya, S., Sanjika, T., Sibomana, M., & Boote, G. L. N. (2011). Network-analysis approaches to deal with causal complexity in a supply network. International Journal of Production Research, 50(7), 1840–1849. doi:10.1080/00207543.2011.575088

Borgatti, S. P., & Li, X. U. N. (2009). On social network analysis in a supply chain context. Journal of Supply Chain Management, 45(2), 5–22. doi:10.1111/j.1745-493X.2009.03166.x

Carson, P., Carson, K., Knouse, S., & Roe, C. W. (1997). Balance theory applied to service quality: A focus on the organization, provider, and consumer triad. Journal of Business and Psychology, 12(2), 99–120.CrossRef

Choi, T. Y., & Kim, Y. (2008). Structural embeddedness and supplier management: A network perspective. Journal of Supply Chain Management, 44(4), 5–13. doi:10.1111/j.1745-493X.2008.00069.x

Choi, T. Y., & Wu, Z. (2009). Triads in supply networks: Theorizing buyer–supplier–supplier relationships. Journal of Supply Chain Management, 45(1), 8-25. doi:10.1111/j.1745-493X.2009.03151.x

Choi, T. Y., Zhaohui, W., Ellram, L., & Koka, B. R. (2002). Supplier-supplier relationships and their implications for buyer-supplier relationships. Engineering Management, IEEE Transactions on, 49(2), 119–130. doi:10.1109/TEM.2002.1010880

Ellram, L. M., Tate, W. L., & Billington, C. (2008). Offshore outsourcing of professional services: A transaction cost economics perspective. Journal of Operations Management, 26(2), 148–163.CrossRef

Finne, M., & Holmström, J. (2013). A manufacturer moving upstream: Triadic collaboration for service delivery. Supply Chain Management: An International Journal, 18(1), 21–33. doi:10.1108/13598541311293159

Glynn, D. G. (2010). The permanent of a square matrix. European Journal of Combinatorics, 31(7), 1887–1891.CrossRef

Gunasekaran, A., & Kobu, B. (2007). Performance measures and metrics in logistics and supply chain management: A review of recent literature (1995–2004) for research and applications. International journal of production research, 45(12), 2819–2840. doi:10.1080/00207540600806513

Holma, A. M. (2012). Interpersonal interaction in business triads—case studies in corporate travel purchasing. Journal of Purchasing and Supply Management, 18(2), 101–112. doi:10.1016/j.pursup.2012.04.002 CrossRef

Holmström, J., Ketokivi, M., & Hameri, A.-P. (2009). Bridging practice and theory: A design science approach. Decision Sciences, 40(1), 65–87. doi:10.1111/j.1540-5915.2008.00221.x

Holmström, J., & Romme, G. (2012). Exploring the future of operations management: Toward an innovation mindset among practitioners and researchers. Journal of Operations Management: Operations & Supply Management Forum, Vol. Essay 15, No. pp.

Kim, Y., Chen, Y.-S., & Linderman, K. (2015). Supply network disruption and resilience: A network structural perspective. Journal of Operations Management, 33–34, 43–59. doi:10.1016/j.jom.2014.10.006 CrossRef

Li, M. E. I. (2011). The impacts of bridge transfer on service outsourcing: A social network perspective. (Doctoral Dissertation), Arizona State University.

Li, M. E. I., & Choi, T. Y. (2009). Triads in services outsourcing: Bridge, bridge decay and bridge transfer. Journal of Supply Chain Management, 45(3), 27–39.CrossRef

Modi, S. B., Wiles, M. A., & Mishra, S. (2015). Shareholder value implications of service failures in triads: The case of customer information security breaches. Journal of Operations Management, 35, 21–39. doi:10.1016/j.jom.2014.10.003 CrossRef

Neiger, D., Rotaru, K., & Churilov, L. (2009). Supply chain risk identification with value-focused process engineering. Journal of Operations Management, 27(2), 154–168. doi:10.1016/j.jom.2007.11.003 CrossRef

Niranjan, T. T., & Metri, B. A. (2008). Client-vendor-end user triad: A service quality model for is/ites outsourcing. Journal of Services Research, 8(1), 123–138.

Peng, T.-J. A., Lin, N.-J., Martinez, V., & Yu, C.-M. J. (2010). Managing triads in a military avionics service maintenance network in Taiwan. International Journal of Operations & Production Management, 30(4), 398–422.CrossRef

Rajesh, R., Ravi, V., & Venkata Rao, R. (2014). Selection of risk mitigation strategy in electronic supply chains using grey theory and digraph-matrix approaches. International Journal of Production Research, 53(1), 238–257. doi:10.1080/00207543.2014.948579 CrossRef

Rossetti, C. L., & Choi, T. Y. (2005). On the dark side of strategic sourcing: Experiences from the aerospace industry. The Academy of Management Executive, 19(1), 46–60.

Sabharwal, S., & Garg, S. (2013). Determining cost effectiveness index of remanufacturing: A graph theoretic approach. International Journal of Production Economics, 144(2), 521–532. doi:10.1016/j.ijpe.2013.04.003 CrossRef

Tate, W. L., Ellram, L. M., & Brown, S. W. (2009). Offshore outsourcing of services: A stakeholder perspective. Journal of Service Research, 12(1), 56–72.CrossRef

van Aken, J. E. (2004). Management research based on the paradigm of the design sciences: The quest for field-tested and grounded technological rules. Journal of Management Studies, 41(2), 219–246. doi: 10.1111/j.1467-6486.2004.00430.x

van de Valk, W., & van Weele, A. (2011). Business service triads: A new area for service research. Paper presented at the IPSERA 2011 Conference Proceedings, Maastricht, Netherlands

van der Valk, W., & van Iwaarden, J. (2011). Monitoring in service triads consisting of buyers, subcontractors and end customers. Journal of Purchasing and Supply Management, 17(3), 198–206.CrossRef

van Iwaarden, J., & van der Valk, W. (2013). Controlling outsourced service delivery: Managing service quality in business service triads. Total Quality Management & Business Excellence, 24(9–10), 1046–1061. doi:10.1080/14783363.2013.776766

Wagner, S. M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29(1), 307–325. doi:10.1002/j.2158-1592.2008.tb00081.x

Wagner, S. M., & Neshat, N. (2010). Assessing the vulnerability of supply chains using graph theory. International Journal of Production Economics, 126(1), 121–129.CrossRef

Wagner, S. M., & Neshat, N. (2012). A comparison of supply chain vulnerability indices for different categories of firms. International Journal of Production Research, 50(11), 2877–2891. doi:10.1080/00207543.2011.561540

Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications (Vol. 8). Cambridge, UK: Cambridge University Press.CrossRef

West, D. B. (2001). Introduction to graph theory (Vol. 2). Upper Saddle River, NJ: Prentice hall Upper Saddle River.

Wu, Z., Choi, T. Y., & Rungtusanatham, M. J. (2010). Supplier–supplier relationships in buyer–supplier–supplier triads: Implications for supplier performance. Journal of Operations Management, 28(2), 115–123. doi:http://dx.doi.org/10.1016/j.jom.2009.09.002

Wuyts, S., Rindfleisch, A., & Citrin, A. (2015). Outsourcing customer support: The role of provider customer focus. Journal of Operations Management, 35, 40–55. doi:10.1016/j.jom.2014.10.004 CrossRef

Wynstra, F., Spring, M., & Schoenherr, T. (2015). Service triads: A research agenda for buyer–supplier–customer triads in business services. Journal of Operations Management, 35, 1–20. doi:10.1016/j.jom.2014.10.002 CrossRef

Zhang, J. J., Lawrence, B., & Anderson, C. K. (2015). An agency perspective on service triads: Linking operational and financial performance. Journal of Operations Management, 35, 56–66. doi:10.1016/j.jom.2014.10.005 CrossRef

Titel: Modeling Risk Emergence and Propagation in Buyer-Supplier-Customer Relationships
verfasst von: Kristian Rotaru
Mehrdokht Pournader
Verlag: Springer Singapore
Buch: Supply Chain Risk Management
Print ISBN: 978-981-10-4105-1

Electronic ISBN: 978-981-10-4106-8

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-981-10-4106-8_3

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner