An integrated approach for designing in-time and economically sustainable emergency care networks: A case study in the public sector

[EN] Emergency Care Networks (ECNs) were created as a response to the increased demand for emergency services and the ever-increasing waiting times experienced by patients in emergency rooms. In this sense, ECNs are called to provide a rapid diagnosis and early intervention so that poor patient outcomes, patient dissatisfaction, and cost overruns can be avoided. Nevertheless, ECNs, as nodal systems, are often inefficient due to the lack of coordination between emergency departments (EDs) and the presence of non-value added activities within each ED. This situation is even more complex in the public healthcare sector of low-income countries where emergency care is provided under constraint resources and limited innovation. Notwithstanding the tremendous efforts made by healthcare clusters and government agencies to tackle this problem, most of ECNs do not yet provide nimble and efficient care to patients. Additionally, little progress has been evidenced regarding the creation of methodological approaches that assist policymakers in solving this problem. In an attempt to address these shortcomings, this paper presents a three-phase methodology based on Discrete-event simulation, payment collateral models, and lean six sigma to support the design of in-time and economically sustainable ECNs. The proposed approach is validated in a public ECN consisting of 2 hospitals and 8 POCs (Point of Care). The results of this study evidenced that the average waiting time in an ECN can be substantially diminished by optimizing the cooperation flows between EDs.The authors would like to express his gratitude to Giselle Polifroni Avendaño for supporting this research.Ortiz-Barrios, MA.; Alfaro Saiz, JJ. (2020). An integrated approach for designing in-time and economically sustainable emergency care networks: A case study in the public sector. 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How to achieve dynamic and flexible performance management systems for collaborative processes

[EN] One of the main characteristics of successful collaborative networks is their ability to continuously reformulating their processes. The, they can quickly get adapted to environment needs and therefore define more competitive processes. One of biggest weaknesses of Performance Management Systems (PMS) when dealing with collaborative processes associated to collaborative networks, is their low degree of both dynamicity and flexibility to get adapted to the changes that such collaborative processes experiment. The main changes that can take place are, among others, small or large modifications of the own processes, entrance and/or exit of new participants in the process, incorporation and/or elimination of processes, changes in objectives and/or strategies of processes of some participant, or even of the whole collaborative network, etc. All this brings continuous modifications over the components that conform the PMS. Then, it is necessary to structure certain mechanisms that will provide with both dynamicity and flexibility to the PMS. Otherwise, these PMS will become obsolete in the short-time and will be not useful anymore. Further, these PMS will not measure properly performance and then they will become ineffective, becoming the source of troubles. Scientific literature shows that most of the works that deal with PMS dynamicity and flexibility are focused on intra-organizational contexts, leaving almost apart the collaborative networks ambit. This work analyses those aspects that prevent to the PMS to be dynamic and flexible when applied to manage the performance of collaborative networks. In addition, we discuss and analyse several mechanisms that should be incorporated into the PMS, making them more dynamic and flexible.Alfaro Saiz, JJ.; Verdecho Sáez, MJ.; Rodríguez Rodríguez, R. (2013). How to achieve dynamic and flexible performance management systems for collaborative processes. IFIP Advances in Information and Communication Technology. 408:639-647. doi:10.1007/978-3-642-40543-3_67S639647408Matopoulos, A., Vlachopoulou, M., Manthou, V., Manos, B.: A conceptual framework for supply chain collaboration: empirical evidence from the agri-food industry. Supply Chain Management: An International Journal 12(3), 177–186 (2007)Barrat, M.: Understanding the meaning of collaboration in the supply chain. Supply Chain Management: An International Journal 9(1), 30–42 (2004)Alfaro, J.J., Rodriguez-Rodriguez, R., Verdecho, M., Ortiz, A.: Business process interoperability and collaborative performance measurement. International Journal of Computer Integrated Manufacturing 22(9), 877–889 (2009)Franco, R.D., Ortiz, A.: Soporte a la ejecución de procesos de negocio extendidos para la planificación de la producció. In: Proceedings of the X Congreso de Ingeniería de Organización, Valencia, vol. I, pp. 255–262 (2006)Ghalayini, A., Noble, J.S., Crowe, T.J.: An integrated dynamic performance measurement system for improving manufacturing competitiveness. International Journal of Production Economics 48, 207–225 (1997)Waggoner, D., Neely, A.D., Kennerley, M.P.: The forces that shape organisational performance measurement systems: An interdisciplinary review. International Journal of Production Economics 60(61), 53–60 (1999)Bititci, U.S., Turner, T., Begemann, C.: Dynamics of performance measurement systems. International Journal of Operations and Production Management 20(6), 692–704 (2000)Kennerley, M., Neely, A.: Measuring performance in a changing business environment. International Journal of Operations & Production Management 23(2), 213–229 (2003)Kennerley, M., Neely, A., Adams, C.: Survival of the fittest: measuring performance in a changing business environment. Measuring Business Excellence 7(4), 37–43 (2003)Najmi, M., Fan, I., Rigas, J.: A framework to review performance measurement systems. Business Process Management Journal 11(2), 109–122 (2005)Salloum, M.: Towards dynamic performance measurement system: a framework for manufacturing organizations. Thesis, Mälardalen University, Västeras, Sweden (2011

A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain

[EN] The challenges of global economies foster supply chains to have to increase their processes of collaboration and dependence between their nodes, generating an increase in the level of vulnerability to possible impacts and interruptions in their operations that may affect their sustainability. This has developed an emerging area of interest in supply chain management, considering resilience management as a strategic capability of companies, and causing an increase in this area of research. Additionally, supply chains should deal with the three dimensions of sustainability (economic, environmental, and social dimensions) by incorporating the three types of objectives in their strategy. Thus, there is a need to integrate both resilience and sustainability in supply chain management to increase competitiveness. In this paper, a systematic literature review is undertaken to analyze resilience management and its connection to increase supply chain sustainability. In the review, 232 articles published from 2000 to February 2020 in peer-reviewed journals in the Scopus and ScienceDirect databases are analyzed, classified, and synthesized. With the results, this paper develops a conceptual framework that integrates the fundamental elements for analyzing, measuring, and managing resilience to increase sustainability in the supply chain. Finally, conclusions, limitations, and future research lines are exposed.This study was supported by the Valencian Government in Spain (Project AEST/2019/019).Zavala-Alcívar, A.; Verdecho Sáez, MJ.; Alfaro Saiz, JJ. (2020). A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain. Sustainability. 12(16):1-38. https://doi.org/10.3390/su12166300S1381216Roberta Pereira, C., Christopher, M., & Lago Da Silva, A. (2014). Achieving supply chain resilience: the role of procurement. Supply Chain Management: An International Journal, 19(5/6), 626-642. doi:10.1108/scm-09-2013-0346Pettit, T. 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Journal of Cleaner Production, 189, 570-584. doi:10.1016/j.jclepro.2018.04.073Verdecho, M.-J., Alarcón-Valero, F., Pérez-Perales, D., Alfaro-Saiz, J.-J., & Rodríguez-Rodríguez, R. (2020). A methodology to select suppliers to increase sustainability within supply chains. Central European Journal of Operations Research, 29(4), 1231-1251. doi:10.1007/s10100-019-00668-3Edgeman, R., & Wu, Z. (2016). Supply chain criticality in sustainable and resilient enterprises. Journal of Modelling in Management, 11(4), 869-888. doi:10.1108/jm2-10-2014-0078Marchese, D., Reynolds, E., Bates, M. E., Morgan, H., Clark, S. S., & Linkov, I. (2018). Resilience and sustainability: Similarities and differences in environmental management applications. Science of The Total Environment, 613-614, 1275-1283. doi:10.1016/j.scitotenv.2017.09.086Ahern, J. (2012). Urban landscape sustainability and resilience: the promise and challenges of integrating ecology with urban planning and design. 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Managing Disruption Risks in Supply Chains. Production and Operations Management, 14(1), 53-68. doi:10.1111/j.1937-5956.2005.tb00009.xChristopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15(2), 1-14. doi:10.1108/09574090410700275Wu, T., Huang, S., Blackhurst, J., Zhang, X., & Wang, S. (2013). Supply Chain Risk Management: An Agent-Based Simulation to Study the Impact of Retail Stockouts. IEEE Transactions on Engineering Management, 60(4), 676-686. doi:10.1109/tem.2012.2190986Fang, H., & Xiao, R. (2013). Resilient closed-loop supply chain network design based on patent protection. International Journal of Computer Applications in Technology, 48(1), 49. doi:10.1504/ijcat.2013.055566Gong, J., Mitchell, J. E., Krishnamurthy, A., & Wallace, W. A. (2014). An interdependent layered network model for a resilient supply chain. Omega, 46, 104-116. doi:10.1016/j.omega.2013.08.002Mari, S., Lee, Y., & Memon, M. (2014). Sustainable and Resilient Supply Chain Network Design under Disruption Risks. Sustainability, 6(10), 6666-6686. doi:10.3390/su6106666Bueno-Solano, A., & Cedillo-Campos, M. G. (2014). Dynamic impact on global supply chains performance of disruptions propagation produced by terrorist acts. Transportation Research Part E: Logistics and Transportation Review, 61, 1-12. doi:10.1016/j.tre.2013.09.005Costantino, F., Gravio, G. D., Shaban, A., & Tronci, M. (2014). Replenishment policy based on information sharing to mitigate the severity of supply chain disruption. International Journal of Logistics Systems and Management, 18(1), 3. doi:10.1504/ijlsm.2014.062119Kristianto, Y., Gunasekaran, A., Helo, P., & Hao, Y. (2014). A model of resilient supply chain network design: A two-stage programming with fuzzy shortest path. Expert Systems with Applications, 41(1), 39-49. doi:10.1016/j.eswa.2013.07.009Raj, R., Wang, J. W., Nayak, A., Tiwari, M. K., Han, B., Liu, C. L., & Zhang, W. J. (2015). Measuring the Resilience of Supply Chain Systems Using a Survival Model. IEEE Systems Journal, 9(2), 377-381. doi:10.1109/jsyst.2014.2339552LOH, H. S., & THAI, V. V. (2015). Cost Consequences of a Port-Related Supply Chain Disruption. The Asian Journal of Shipping and Logistics, 31(3), 319-340. doi:10.1016/j.ajsl.2015.09.001Torabi, S. A., Baghersad, M., & Mansouri, S. A. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 79, 22-48. doi:10.1016/j.tre.2015.03.005Cardoso, S. R., Paula Barbosa-Póvoa, A., Relvas, S., & Novais, A. Q. (2015). Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty. Omega, 56, 53-73. doi:10.1016/j.omega.2015.03.008Salehi Sadghiani, N., Torabi, S. A., & Sahebjamnia, N. (2015). Retail supply chain network design under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 75, 95-114. doi:10.1016/j.tre.2014.12.015Dixit, V., Seshadrinath, N., & Tiwari, M. K. (2016). Performance measures based optimization of supply chain network resilience: A NSGA-II + Co-Kriging approach. Computers & Industrial Engineering, 93, 205-214. doi:10.1016/j.cie.2015.12.029Liu, F., Song, J.-S., & Tong, J. D. (2016). Building Supply Chain Resilience through Virtual Stockpile Pooling. Production and Operations Management, 25(10), 1745-1762. doi:10.1111/poms.12573Fahimnia, B., Jabbarzadeh, A., & Sarkis, J. (2018). Greening versus resilience: A supply chain design perspective. Transportation Research Part E: Logistics and Transportation Review, 119, 129-148. doi:10.1016/j.tre.2018.09.005Hasani, A., & Khosrojerdi, A. (2016). Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study. Transportation Research Part E: Logistics and Transportation Review, 87, 20-52. doi:10.1016/j.tre.2015.12.009Azhmyakov, V., Fernández-Gutiérrez, J. P., Gadi, S. K., & Pickl, S. (2016). A Novel Numerical Approach to the MCLP Based Resilent Supply Chain Optimization. IFAC-PapersOnLine, 49(31), 137-142. doi:10.1016/j.ifacol.2016.12.175Ivanov, D., Sokolov, B., Solovyeva, I., Dolgui, A., & Jie, F. (2016). Dynamic recovery policies for time-critical supply chains under conditions of ripple effect. International Journal of Production Research, 54(23), 7245-7258. doi:10.1080/00207543.2016.1161253Jabbarzadeh, A., Fahimnia, B., Sheu, J.-B., & Moghadam, H. S. (2016). Designing a supply chain resilient to major disruptions and supply/demand interruptions. Transportation Research Part B: Methodological, 94, 121-149. doi:10.1016/j.trb.2016.09.004Babich, V., Burnetas, A. N., & Ritchken, P. H. (2007). Competition and Diversification Effects in Supply Chains with Supplier Default Risk. Manufacturing & Service Operations Management, 9(2), 123-146. doi:10.1287/msom.1060.0122Bogataj, D., Aver, B., & Bogataj, M. (2016). Supply chain risk at simultaneous robust perturbations. International Journal of Production Economics, 181, 68-78. doi:10.1016/j.ijpe.2015.09.009Wang, X., Herty, M., & Zhao, L. (2015). Contingent rerouting for enhancing supply chain resilience from supplier behavior perspective. International Transactions in Operational Research, 23(4), 775-796. doi:10.1111/itor.12151Zeng, B., & Yen, B. P.-C. (2017). Rethinking the role of partnerships in global supply chains: A risk-based perspective. International Journal of Production Economics, 185, 52-62. doi:10.1016/j.ijpe.2016.12.004Lücker, F., & Seifert, R. W. (2017). Building up Resilience in a Pharmaceutical Supply Chain through Inventory, Dual Sourcing and Agility Capacity. Omega, 73, 114-124. doi:10.1016/j.omega.2017.01.001Fattahi, M., Govindan, K., & Keyvanshokooh, E. (2017). Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers. Transportation Research Part E: Logistics and Transportation Review, 101, 176-200. doi:10.1016/j.tre.2017.02.004Kırılmaz, O., & Erol, S. (2017). A proactive approach to supply chain risk management: Shifting orders among suppliers to mitigate the supply side risks. Journal of Purchasing and Supply Management, 23(1), 54-65. doi:10.1016/j.pursup.2016.04.002Li, H., Pedrielli, G., Lee, L. H., & Chew, E. P. (2016). Enhancement of supply chain resilience through inter-echelon information sharing. Flexible Services and Manufacturing Journal, 29(2), 260-285. doi:10.1007/s10696-016-9249-3Otto, C., Willner, S. N., Wenz, L., Frieler, K., & Levermann, A. (2017). Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate. Journal of Economic Dynamics and Control, 83, 232-269. doi:10.1016/j.jedc.2017.08.001Rezapour, S., Farahani, R. Z., & Pourakbar, M. (2017). Resilient supply chain network design under competition: A case study. European Journal of Operational Research, 259(3), 1017-1035. doi:10.1016/j.ejor.2016.11.041Ledwoch, A., Yasarcan, H., & Brintrup, A. (2018). The moderating impact of supply network topology on the effectiveness of risk management. International Journal of Production Economics, 197, 13-26. doi:10.1016/j.ijpe.2017.12.013Al-Othman, W. B. E., Lababidi, H. M. S., Alatiqi, I. M., & Al-Shayji, K. (2008). Supply chain optimization of petroleum organization under uncertainty in market demands and prices. European Journal of Operational Research, 189(3), 822-840. doi:10.1016/j.ejor.2006.06.081Ivanov, D., Dolgui, A., & Sokolov, B. (2017). Scheduling of recovery actions in the supply chain with resilience analysis considerations. International Journal of Production Research, 56(19), 6473-6490. doi:10.1080/00207543.2017.1401747Das, K. (2019). Integrating Lean, Green, and Resilience Criteria in a Sustainable Food Supply Chain Planning Model. International Journal of Mathematical, Engineering and Management Sciences, 4(2), 259-275. doi:10.33889/ijmems.2019.4.2-022Das, K. (2018). Integrating resilience in a supply chain planning model. International Journal of Quality & Reliability Management, 35(3), 570-595. doi:10.1108/ijqrm-08-2016-0136Arora, V., & Ventresca, M. (2018). Modeling topologically resilient supply chain networks. Applied Network Science, 3(1). doi:10.1007/s41109-018-0070-7Almeida, J. F. de F., Conceição, S. V., Pinto, L. R., de Camargo, R. S., & Júnior, G. de M. (2018). Flexibility evaluation of multiechelon supply chains. PLOS ONE, 13(3), e0194050. doi:10.1371/journal.pone.0194050Mancheri, N. A., Sprecher, B., Deetman, S., Young, S. B., Bleischwitz, R., Dong, L., … Tukker, A. (2018). Resilience in the tantalum supply chain. Resources, Conservation and Recycling, 129, 56-69. doi:10.1016/j.resconrec.2017.10.018Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2017). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339-2360. doi:10.1080/00207543.2017.1370149Rozhkov, M., & Ivanov, D. (2018). CONTINGENCY PRODUCTION-INVENTORY CONTROL POLICY FOR CAPACITY DISRUPTIONS IN THE RETAIL SUPPLY CHAIN WITH PERISHABLE PRODUCTS. IFAC-PapersOnLine, 51(11), 1448-1452. doi:10.1016/j.ifacol.2018.08.311Sabouhi, F., Pishvaee, M. S., & Jabalameli, M. S. (2018). Resilient supply chain design under operational and disruption risks considering quantity discount: A case study of pharmaceutical supply chain. Computers & Industrial Engineering, 126, 657-672. doi:10.1016/j.cie.2018.10.001Zavitsas, K., Zis, T., & Bell, M. G. H. (2018). The impact of flexible environmental policy on maritime supply chain resilience. Transport Policy, 72, 116-128. doi:10.1016/j.tranpol.2018.09.020Mitra, K., Gudi, R. D., Patwardhan, S. C., & Sardar, G. (2009). Towards resilient supply chains: Uncertainty analysis using fuzzy mathematical programming. Chemical Engineering Research and Design, 87(7), 967-981. doi:10.1016/j.cherd.2008.12.025Lücker, F., Seifert, R. W., & Biçer, I. (2018). Roles of inventory and reserve capacity in mitigating supply chain disruption risk. International Journal of Production Research, 57(4), 1238-1249. doi:10.1080/00207543.2018.15041

A review on intellectual capital concepts as a base for measuring intangible assets of collaborative networks

[EN] This work presents a revision of the main definition and significances of the term Intellectual Capital, as it is an important issue of study. Once the main scientific works related to Intellectual Capital are presented and their main contributions highlighted, this work shows how it has been attempted to measure the Intellectual Capital at both individual enterprises and collaborative networks, as a source of meaningful information to make decisions. The paper evidences the lack of works that have successfully dealt with measuring Intellectual Capital at the collaborative networks level, highlighting the main barriers and what a proper measuring framework should address at this level.Rodríguez Rodríguez, R.; Alfaro Saiz, JJ.; Verdecho Sáez, MJ. (2011). A review on intellectual capital concepts as a base for measuring intangible assets of collaborative networks. IFIP Advances in Information and Communication Technology. 362:41-47. doi:10.1007/978-3-642-23330-2_5S4147362Penrose, E.T.: The theory of the growth of the firm. John Wiley, New York (1959)Edvinsson, L., Malone, M.S.: IC: the Proven Way to Establish Your Company’s Real Value by Measuring Its Hidden Values. Piatkus, London (1997)Sveiby, K.E.: The New Organizational Wealth: Managing & Measuring Knowledge-Based Assets. Berrett-Koehler Publishers, Inc., San Francisco (1997)MERITUM Guidelines. Guidelines for Managing and Reporting on Intangibles, Madrid (2002)International Accounting Standards Board (IASB). Intangible Assets, International Accounting Standards No. 38 revised. IASB, London (2004)Marr, B.: Perspectives on IC: Multidisciplinary Insights into Management, Measurement, and Reporting. Elsevier, Boston (2005)Hall, R.: The strategic analysis of intangible resources. Strategic Management Journal 2, 135–137 (1992)Edvinsson, L., Sullivan, P.H.: Developing a model for managing intellectual capital. European Management Journal 14, 356–365 (1996)Brooking, A.: IC: Core Assets for the Third Millennium Enterprise. Thompson Business Press, London (1996)Roos, J., Roos, G., Dragonetti, N.C., Edvinsson, L.: IC: Navigating the New Business Landscape. Macmillan, London (1997)Stewart, T.A.: IC: The New Wealth of Organisations. Doubleday/Currency, New York (1997)Bontis, N., Dragonetti, N.C., Jacobson, K., Roos, G.: The knowledge toolbox: a review of the tools available to measure and manage intangible resources. European Management Journal 17, 391–402 (1999)Kannan, G., Aulbur, W.G.: IC: Measurement effectiveness. Journal of IC 5, 389–413 (2004)Nordika Project. Measuring and Reporting IC: Experiences, Issues, and Prospects. OECD, Paris (2002)Kaplan, R.S., Norton, D.P.: The Balanced Scorecard – Measures that Drive Performance. Harvard Business Review, 71–79 (January/February 1992)Lynch, R.L., Cross, K.F.: Measure Up! The Essential Guide to Measuring Business Performance. Mandarin, London (1991)Kaplan, R.S., Norton, D.P.: Measuring the Strategic Readiness of Intangible Assets. Harvard Business Review 82, 167–176 (2004)Alfaro Saiz, J.J., Rodriguez-Rodriguez, R., Ortiz Bas, A., Verdecho, M.J.: An information architecture for a performance management framework by collaborating SMEs. Computers in Industry 61, 676–685 (2010)Busi, M., Bititci, U.S.: Collaborative performance management: present gaps and future research. International Journal of Productivity and Performance Management 55, 7–25 (2006)Angerhofer, B.J., Angelides, M.C.: A model and a performance measurement system for collaborative supply chains. Decision Support Systems 42, 283–301 (2006)Gaiardelli, P., Saccani, N., Songini, L.: Performance measurement of the after-sales service network – Evidence from the automotive industry. Computers in Industry 58, 698–708 (2007)Gruat, F.A., La Forme, V., Campagne, J.P.: A Framework to analyse Collaborative Performance. Computers in Industry 58, 687–697 (2007

Performance management in collaborative networks: difficulties and barriers

[EN] Global competitiveness obliges to enterprises to collaborate in many processes such as new product and services development in order to shorten the lifecycle, development and commercialization. Therefore, the competence has drifted from an individual focus to a supply chain management one and, from some years, to a collaborative enterprises network approach. It is common to find frameworks for measuring/managing the performance within extended enterprises, supply chains, virtual enterprises, etc. However, few authors deal with a higher level: the collaborative networks one. This concept of enterprises management set up bigger difficulties regarding not only from a conceptual and structural point of view but also considering both the design and posterior development of systems capable of managing the performance achieved in this type of organizations. This work describes both the main difficulties and barriers when trying to apply performance management concepts to collaborative networks. In this sense, it is highlighted the weaknesses of the existing intra-organizational frameworks that cannot be projected, as they are conceived, to manage performance within collaborative networks.Alfaro Saiz, JJ.; Rodríguez Rodríguez, R.; Verdecho Sáez, MJ. (2011). Performance management in collaborative networks: difficulties and barriers. IFIP Advances in Information and Communication Technology. 362:133-139. doi:10.1007/978-3-642-23330-2_15S133139362Hausman, W.H.: Supply chain performance metrics. The practice of supply chain management: Where theory and application converge. Kluwer Academic Publishers, Dordrecht (2003)Coughlan, P., Coughlan, D.: Action research: action research for operations management. International Journal of Operation and Productions Management 22(2), 220–240 (2002)Kaplan, R.S., Norton, D.P.: The balanced scorecard. Measures that drive performance. Harvard Business Review, 71–79 (January/February 1992)Bourne, M.: Designing and implementing a balanced performance measurement system. Control - Official Journal of the Institute of Operations Management, 21–24 (July/August 1999)Neely, A., Adams, C.: Perspectives on Performance. The Performance Prism’ Web Site of Neely A (2001), www.som.cranfield.ac.uk/som/cbp/adn.htmHronec, S.M.: Vital Signs. Amacom, New York (1993)Bititci, U.S., Mendibil, K., Martinez, V., Albores, P.: Measuring and managing performance in extended enterprises. International Journal of Operations & Production Management 25(4), 333–353 (2005)Folan, P., Browne, J.: Development of an extended enterprise performance measurement system”. Production Planning & Control 16(6), 531–544 (2005)Gaiardelli, P., Saccani, N., Songini, L.: Performance measurement systems in the after-sales service: an integrated framework. International Journal of Business Performance Management 9(2), 145–171 (2007)Alfaro, J.J., Ortiz, A., Rodríguez, R.: Performance measurement system for Enterprise Networks. International Journal of Productivity and Performance Management 56(4), 305–334 (2007)Romero, D., Galeano, N., Molina, A.: A conceptual Model for Virtual Breeding Environments Value System. In: Camarinha-Matos, L., Afsarmanesh, H., Novais, P., Analide, C. (eds.) Establishing the Foundation of Collaborative Networks. Springer, Heidelberg (2007)Msanjila, S.S., Afsarmanesh, H.: Trust analysis and assessment in virtual organization breeding environments. International Journal of Production Research 46(5), 1253–1295 (2008)Bititci, U., Turner, T., Mackay, D., Kearney, D., Parung, J., Walters, D.: Managing synergy in collaborative enterprises. Production Planning & Control 18(6), 454–465 (2007)Chalmeta, R., Grangel, R.: Performance Measurement Systems for Virtual Enterprise Integration. International Journal of Computer Integrated Manufacturing 18(1), 73–84 (2005)Francisco, R.D., Azevedo, A.: Dynamic Performance Management In Business Networks Environment. In: Digital Enterprise Technology. Springer, US (2007)Busi, M., Bititci, U.S.: Collaborative performance management: Present gaps and future research. International Journal of Productivity and Performance Management 55(1), 7–25 (2006)Rodriguez, R., Ortiz, A., Alfaro, J.: Fostering collaborative meta-value chain practices. International Journal of Computer Integrated Manufacturing 22(5), 385–394 (2009)Rodriguez, R.R., Gomez, P., Franco, D., Ortiz, A.: Establishing and keeping inter-organisational collaboration: Some lessons learned. International Federation for Information Processing 1, 214–222 (2007)Leseure, M., Shaw, N., Chapman, G.: Performance measurement in organisational networks: an exploratory case study. International Journal of Business Performance Management 3(1), 30–46 (2001

A review of factors influencing collaborative relationships

[EN] Collaboration is a term commonly used to refer to a type of inter-organizational relationship. However, in real business assessments, many collaborative relationships fail due to the lack of understanding of the factors influencing collaboration sustainability. For this reason, enterprises, prior to engage to a collaborative relationship, need to understand further which the main factors influencing collaboration relationships are, how they are structured and how they interact so that decision makers that desire to engage in a collaborative relationship/network focus not only on improving performance indicators but also on the factors that influence the results of those performance indicators. The purpose of this paper is to present a critical literature review of factors influencing collaborative relationships in order to perform a comparative study of the works for identifying main strengths and gaps for future research.Verdecho Sáez, MJ.; Alfaro Saiz, JJ.; Rodríguez Rodríguez, R. (2011). A review of factors influencing collaborative relationships. IFIP Advances in Information and Communication Technology. 362:535-542. doi:10.1007/978-3-642-23330-2_58S535542362Camarinha-Matos, L.M., Afsarmanesh, H., Galeano, N., Molina, A.: Collaborative networked organizations - Concepts and practice in manufacturing enterprises. Computers & Industrial Engineering 57, 46–60 (2009)Simatupang, T.M., Wright, A.C., Sridharan, R.: Applying the theory of constraints to supply chain collaboration. Supply Chain Management: An International Journal 9(1), 57–70 (2004)Sabath, R.E., Fontanella, J.: The Unfulfilled Promise of Supply Chain Collaboration. Supply Chain Management Review (July/August 2002)Kampstra, R.P., Ashayeri, J., Gattorna, J.L.: Realities of supply chain collaboration. The International Journal of Logistics Management 17(3), 312–330 (2006)Supply Chain Management Review (SCMR) and Computer Sciences Corporation, CSC (2004);The second annual global survey of supply chain progress, www.csc.com/Busi, M., Bititci, U.S.: Collaborative performance management: present gaps and future research. International Journal of Productivity and Performance Management 55(1), 7–25 (2006)Lockamy, A., McCormack, K.: The development of a supply chain management process maturity model using the concepts of business process orientation. Supply Chain Management: An International Journal 9(4), 272–278 (2004)Lejeune, M.A., Yakova, N.: On characterizing the 4 C’s in supply chain management. Journal of Operations Management 23(1), 81–100 (2005)Fiske, A.P.: Relativity within Moose (“Mossi”) culture: four incommensurable models for social relationships. Ethos 18, 180–204 (1990)Danese, P.: Collaboration forms, information and communication technologies, and coordination mechanisms in CPFR. International Journal of Production Research 44, 3207–3226 (2006)Birnbirg, J.C.: Control in interfirm co-operative relationships. Journal of Management Studies 25(4), 421–428 (1998)Boddy, D., Macbeth, D., Wagner, B.: Implementing collaboration between organizations: an empirical study of supply chain partnering. Journal of Management Studies 37(7), 1003–1018 (2000)Handfield, R.B., Bechtel, C.: Trust, power, dependence, and economics: can SCM research borrow paradigms? International Journal of Integrated Supply Chain Management 1(1), 3–32 (2004)Wilson, D.T.: An integrated model of buyer-seller relationships. In: Working Paper, Institute for the Study of Business Markets. The Pennsylvania State University, State College (1995)Bowersox, D.J., Closs, D.J., Stank, T.P.: How to Master cross-enterprise Collaboration. Supply Chain Management Review (July/August 2003)Barratt, M.: Understanding the meaning of collaboration in the supply chain. Supply Chain Management: An International Journal 9(1), 30–42 (2004)Min, S., Roath, A.S., Daugherty, P.J., Genchev, S.E., Chen, H., Arndt, A.D.: Supply chain collaboration: what’s happening? The International Journal of Logistics Management 16(2), 237–256 (2005)Simatupang, T.M., Sridharan, R.: An integrative framework for supply chain collaboration. The International Journal of Logistics Management 16(2), 257–274 (2005)Burgess, K., Singh, P.: A proposed integrated framework for analysing supply chains. Supply Chain Management: An International Journal 11(4), 337–344 (2006)Gruat La Forme, F., Botta Genoulaz, V., Campagne, J.: A Framework to analyse Collaborative Performance. Computers in Industry 58, 687–697 (2005)Giannakis, M.: Performance Measurement of Supplier Relationships. Supply Chain Management; An International Journal 12(6), 400–411 (2007)Morgan, R.M., Hunt, S.D.: The Commitment-Trust Theory of Relationship Marketing. Journal of Marketing 58, 20–38 (1994)Mohr, J., Spekman, R.: Characteristics of partnership success: Partnership attributes, communication behavior, and conflict resolution techniques. Strategic Management Journal 15(2), 135–152 (1994)Zineldin, M., Jonsson, P.: An examination of the main factors affecting trust/commitment in supplier-dealer relationships: an empirical study of the Swedish wood industry. The TQM Magazine 12(4), 245–256 (2000)Coote, L.V., Forrest, E.J., Tam, T.W.: An investigation into commitment in non-Western industrial marketing relationship. Industrial Marketing Management 32, 595–604 (2003)Wu, W.T., Chiag, C.Y., Wu, Y.J., Tu, H.J.: The influencing factors of commitment and business integration on supply chain management. Industrial Management & Data Systems 104(4), 322–333 (2004)Kwon, I.K., Suh, T.: Trust, commitment and relationships in supply chain management: path analysis. Supply Chain Management: An International Journal 10(1), 26–33 (2005)Geyskens, I., Steemkamp, J.B., Scheer, L.K., Kumar, N.: The effects of trust and interdependence on relationship commitment: A trans-Atlantic study. International Journal of Research in Marketing 13, 303–317 (1996)Pimentel Claro, D., Borin de Oliviera Claro, P., Hagelaar, G.: Coordinating collaborative joint efforts with suppliers: the effects of trust, transaction specific investment and information network in the Dutch flower industry. Supply Chain Management: An International Journal 11(3), 216–224 (2006)Cheng, J.H., Yeh, C.H., Tu, C.W.: Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal 13(4), 283–295 (2008)Matopoulos, A., Vlachopoulou, M., Manthou, V., Manos, B.: A conceptual framework for supply chain collaboration: empirical evidence from the agri-food industry. Supply Chain Management: An International Journal 12(3), 177–186 (2007)Handfield, R.B., Bechtel, C.: The role of trust and relationship structure in improving supply chain responsiveness. Industrial Marketing Management 31, 367–382 (2002

Preparing for Industry 5.0: a methodology for avoiding corporate amnesia

[EN] PurposeThis research sought to identify the best strategy for avoiding corporate amnesia in the context of the Industry 5.0 and an aging society.Design/methodology/approachTo achieve this goal, a multi-phase methodology based on analytic network process was proposed and tested in one of the biggest companies in the bakery industry.FindingsThe results highlight that online communities of practice and storytelling are the best way to avoid corporate amnesia. The most important factors are commitment, work satisfaction and organizational culture. Commitment and work satisfaction also enhance the use of online communities of practice, while work satisfaction and organizational culture foster the use of storytelling.Originality/valueThis article proposes a nexus between knowledge management and operations management. This research also presents a decision-making tool that can help managers determine the most appropriate strategy for avoiding corporate amnesia.The research reported in this paper is supported by the Spanish Agencia Estatal de Investigacion for the project "Cadenas de suministro innovadoras y eficientes para productos-servicios altamente personalizados" (INNOPROS), Ref.: PID2019-109894GB-I00.Leon, R.; Rodríguez Rodríguez, R.; Alfaro Saiz, JJ. (2024). Preparing for Industry 5.0: a methodology for avoiding corporate amnesia. Industrial Management & Data Systems. 124(1):120-139. https://doi.org/10.1108/IMDS-03-2023-0159120139124

Avaliação das práticas de gestão em redes de pequenas e médias empresas (PME) de cooperação horizontal: contexto equatoriano

[EN] Small- and medium-sized enterprises (SMEs) play an important role in the economic growth of a country and of a sector. They seek to be incorporated into permanent productivity and competitiveness dynamics through a cooperation strategy. This article evaluated the application of management practices to horizontal SMEs networks of the dairy sector in Ecuador by following the constructivist methodology. The literature review and exploratory research indicated an understanding of cooperative work in the networks or Milk Collection Centers (MCCs) and identified the need to evaluate performance when applying management practices as an unavoidable element to enhance their operation and development. The construction phase took as reference a model for the evaluation of management practices in cooperation networks and contextualized it to the Ecuadorian environment. In the evaluation phase, three networks were evaluated, from which results and conclusions were obtained. The developed model identified six criteria with which the evaluations of MCCs were made, whose analysis allowed their performance level to be quantified and a proposal of some specific improvement opportunities for this sector and a group of SMEs.[PT] Pequenas e médias empresas (PME) desempenham um papel importante no crescimento econômico de um país e setor; é através da estratégia de cooperação que elas procuram incorporar-se à dinâmica da produtividade e competitividade permanente. Este artigo avaliou a aplicação de práticas de gestão em redes horizontais de PME do setor de lácteos no Equador, seguindo a metodologia construtivista. A revisão da literatura e a pesquisa exploratória permitiram a compreensão do trabalho cooperativo nas redes ou Centros de Coleta (CC), assim como a identificação da necessidade de avaliar o desempenho das práticas de gestão como elemento básico para potencializar sua operação e desenvolvimento. A pesquisa toma como referência um modelo para a avaliação de práticas de gestão em redes de cooperação e contextualiza-o para a realidade equatoriana. A avaliação do nível de desempenho das práticas de gestão é feita em três redes; resultados e conclusões são apresentados. O modelo desenvolvido identifica seis critérios com os quais a avaliação dos CC é desenvolvida e cuja análise permite a quantificação do seu nível de desempenho e a proposta de oportunidades específicas de melhoria para este setor e grupo de PME.Rojas-Lema, X.; Pumisacho, V.; Alfaro Saiz, JJ.; García, D. (2019). Evaluating management practices in horizontal cooperation SMEs networks: the Ecuadorian context. Gestão & Produção. 26(2):1-13. https://doi.org/10.1590/0104-530x-4083-19S113262Ates, A., Garengo, P., Cocca, P., & Bititci, U. (2013). The development of SME managerial practice for effective performance management. Journal of Small Business and Enterprise Development, 20(1), 28-54. doi:10.1108/14626001311298402De Rolt, C. R., Dias, J. da S., & Peña, F. T. G. (2017). Análise de redes como ferramenta de gestão para empreendimentos interorganizacionais. Gestão & Produção, 24(2), 266-278. doi:10.1590/0104-530x1885-16Galdámez, E. V. C., Carpinetti, L. C. R., & Gerolamo, M. C. (2009). Proposta de um sistema de avaliação do desempenho para arranjos produtivos locais. Gestão & Produção, 16(1), 133-151. doi:10.1590/s0104-530x2009000100013Gerolamo, M. C., Carpinetti, L. C. R., Fleschutz, T., & Seliger, G. (2008). Clusters e redes de cooperação de pequenas e médias empresas: observatório europeu, caso alemão e contribuições ao caso brasileiro. Gestão & Produção, 15(2), 351-365. doi:10.1590/s0104-530x2008000200011Jones, C., Hesterly, W. S., & Borgatti, S. P. (1997). A General Theory of Network Governance: Exchange Conditions and Social Mechanisms. Academy of Management Review, 22(4), 911-945. doi:10.5465/amr.1997.9711022109Magalhães, J. M. de, Daudt, C. G., & Phonlor, P. R. (2009). Vantagens proporcionadas às pequenas e médias empresas por meio da união em redes de cooperação no contexto do venture capital. Revista de Administração Contemporânea, 13(4), 583-603. doi:10.1590/s1415-65552009000400005Machado Padilha, A. C., Gallon, C., & De Mattos, P. (2012). FATORES CONDICIONANTES DA IMPLEMENTAÇÃO DE ESTRATÉGIAS COMPETITIVAS E COOPERATIVAS: O CASO DAS INDÚSTRIAS DE JOIAS DE GUAPORÉ-RS. Revista Ibero-Americana de Estratégia, 11(2), 34-69. doi:10.5585/riae.v11i2.1726Martins, I., Rialp, A., Rialp, J., & Aliaga-Isla, R. (2015). El uso de las redes como propulsor para la orientación emprendedora y el crecimiento de la pequeña y mediana empresa. Innovar, 25(55), 117-130. doi:10.15446/innovar.v25n55.47227Matta, A. (2012). Aportes del Análisis de Redes Sociales a la Gestión de Estrategias de Cooperación Empresarial. Redes. 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A methodology to assess the generic competence "Analysis and Problem solving" in master degree

[EN] The Universitat Politecnica de Valencia (UPV) has considered the development and assessment of generic competences in the curricula of its undergraduate and graduate degrees. Specifically, thirteen generic competences have been defined and introduced within all the curricula. These generic competences are to be assessed within the specific activities developed through the courses. For that purpose, the UPV has designed an institutional project called "UPV transversal competences" in order to guide the general implementation of the generic competencies in the degrees. This paper emerges from the work developed within a specific educational project designed in coherence with the institutional UPV project that studies the "analysis and problem solving" competence in master degree. Instructors have experience in the assessment and development of specific competences but, most of them, still need tools that aid to assess the degree of development of generic competences due to its novelty in the curricula. In order to fill this gap, this paper presents a structured methodology to design and develop assessment procedures and instruments of the "analysis and problem solving" generic competence. This methodology has been applied during the academic year 2015-2016 to assess the "analysis and problem solving" competence in the "Technologies and Software Applications for Supply Chain Management" course which belongs to the Master in Advanced Engineering Production, Logistics and Supply Chain at the Higher Technical School of Industrial Engineering. This paper discusses main results and conclusions obtained from the application. These results are of two types: results of the assessment of the specific competence in the course and results of the questionnaire passed to the students to know their point of view regarding the whole experience.This work has been developed within the research project called "Assessment of UPV generic competence "problem analysis and resolution" in master students" (Ref.: PIME-A7-15) funded by the Vice-Rectorate for Studies, Quality and Accreditation at Universitat Politecnica de Valencia.Verdecho Sáez, MJ.; Gómez-Gasquet, P.; Rodríguez Rodríguez, R.; Alfaro Saiz, JJ. (2016). A methodology to assess the generic competence "Analysis and Problem solving" in master degree. ICERI Proceedings. 7506-7511. https://doi.org/10.21125/iceri.2016.0712S7506751

Performance measurement in SMEs: systematic literature review and research directions

[EN] The purpose of this paper is double. First, the research about performance measurement (PM) in small and medium-sized enterprises (SMEs) will be analysed in order to know its evolution. Next, the research gaps in the business context of these companies will be identi¿ed. This paper presents a systematic literature review of 131 articles of PM in SMEs between 2006 and 2019. A conceptual framework is proposed to characterize the studies according to three factors: (1) purpose of the approach; (2) scope of PM; and (3) business context in which the studies are articulated. The reviewed papers were selected from Scopus and Web of Science databases. For this study, we considered the works conducted in the manufacturing sector, and excluded those that focused on the services sector. The results show that most of the studies are concentrated in the context of individual company, on the other hand networks, clusters, and supply chains have received less attention. The information collected herein identi¿es research gaps that have not been dealt with in detail and are transformed into guidelines to be dealt with by new future speci¿c works in the domain of PM in SMEs.Rojas-Lema, X.; Alfaro Saiz, JJ.; Rodríguez Rodríguez, R.; Verdecho Sáez, MJ. (2021). Performance measurement in SMEs: systematic literature review and research directions. Total Quality Management & Business Excellence. 32(15-16):1803-1828. https://doi.org/10.1080/14783363.2020.1774357S180318283215-1