Abstract
Sustainable manufacturing 4.0 brings a new perspective in disruptive business models. As one of the three dimensions of Industry 4.0, horizontal collaboration integrates within I4.0 value creation network. In order to cope with this challenge, horizontal collaboration displays a variety of factors for enterprises to create or develop joint projects such as knowledge transfer, new product and process development, cyber-physical shared resources. Hence, this study presents a horizontal collaboration business model for value creation as part of a sustainable manufacturing 4.0 environment. For this to be achieved, horizontal collaboration variables must be presented within a business model structure. This development is based as of three business model components (1) content, (2) structure, and (3) governance; from which horizontal collaboration variables have been grouped. This document presents a CODAS-HTFLS-Mahalanobis approach to identify horizontal collaboration top variables grouped within the business model components, thus creating a value creation network.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barratt M (2004) Understanding the meaning of collaboration in the supply chain. Supply Chain Manag Int J 9(1):30–42. https://doi.org/10.1108/13598540410517566
Simatupang TM, Sridharan R (2002) The Collaborative Supply Chain. Int J Logistics Manag 13(1):15–30. https://doi.org/10.1108/09574090210806333
Cruijssen F, Cools M, Dullaert W (2007) Horizontal cooperation in logistics: opportunities and impediments. Transp Res Part E Logistics Transp Rev 43(2):129–142. https://doi.org/10.1016/j.tre.2005.09.007
Derrouiche R, Gamoura S, Damand D, Bouguessas H (2018) Towards a collaborative supply chain balanced score card framework to analyse collaborative value-added. In: IEEE international conference on industrial engineering and engineering management, 2017 Dec, pp 427–431. https://doi.org/10.1109/IEEM.2017.8289926
Whitehead K, Zacharia Z, Prater E (2019) Investigating the role of knowledge transfer in supply chain collaboration. Int J Logist Manag 30(1):284–302. https://doi.org/10.1108/IJLM-07-2017-0184
Osterwalder A, Pigneur Y (2010) Business model generation. John Wiley & Sons Inc., Hoboken, New Jersey
Yılmaz H, Çemberci M, Uca N (2016) The role of collaborative advantage for analyzing the effect of supply chain collaboration on firm performance. Int J Commer Finance 2(1):157–168
Agostini L, Nosella A (2019) Inter-organizational relationships involving SMEs: a bibliographic investigation into the state of the art. Long Range Plan 52(1):1–31. https://doi.org/10.1016/j.lrp.2017.12.003
Ahn JM, Kim D, Moon S (2017) Determinants of innovation collaboration selection: a comparative analysis of Korea and Germany. Innovation 19(2):125–145. https://doi.org/10.1080/14479338.2016.1241152
Rendón A, Morales A et al (2010) Alianzas y adquisiciones. Estrategias de competitividad de las grandes empresas de capital privado nacional en México, RIICO, 978-970-27-2032-4. https://www.riico.net/index.php/riico/article/view/738
Naesens K, Pintelon L, Taillieu T (2007) A framework for implementing and sustaining trust in horizontal partnerships. Supply Chain Forum Int J 8(1):32–44. https://doi.org/10.1080/16258312.2007.11517174
Amit RH, Zott C (2012) Creating value through business model innovation. MIT Sloan Manag Rev 53(3):40–50. https://doi.org/10.2139/ssrn.1701660
Baden-Fuller C, Morgan MS (2010) Business models as models. Long Range Plan 43(2–3):156–171. https://doi.org/10.1016/j.lrp.2010.02.005
Chesbrough H (2010) Business model innovation: opportunities and barriers. Long Range Plan 43(2–3):354–363. https://doi.org/10.1016/j.lrp.2009.07.010
Saur-Amaral I, Soares RR, Proença JF (2018) Business model innovation: towards a conceptual framework. Tourism Manag Stud 14(1):80–93. https://doi.org/10.18089/tms.2018.14107
Wirtz BW, Pistoia A, Ullrich S, Göttel V (2016) Business models: origin, development and future research perspectives. Long Range Plan 49(1):36–54. https://doi.org/10.1016/j.lrp.2015.04.001
Fischer M, Imgrund F, Janiesch C, Winkelmann A (2020) Strategy archetypes for digital transformation: defining meta objectives using business process management. Inf Manag 57(5):103262. https://doi.org/10.1016/j.im.2019.103262
Flanagan DJ, Lepisto DA, Ofstein LF (2018) Coopetition among nascent craft breweries: a value chain analysis. J Small Bus Enterp Dev 25(1):2–16. https://doi.org/10.1108/JSBED-05-2017-0173
Franco VB, Arboleda CDP, Cantillo V, Macea LF, Ríos DGR (2017) A collaborative supply chain model for non-for-profit networks based on cooperative game theory. Int J Logistics Syst Manage 26(4):475. https://doi.org/10.1504/IJLSM.2017.082614
Leitner R, Meizer F, Prochazka M, Sihn W (2011) Structural concepts for horizontal cooperation to increase efficiency in logistics. CIRP J Manuf Sci Technol 4(3):332–337. https://doi.org/10.1016/j.cirpj.2011.01.009
Pomponi F, Fratocchi L, Rossi Tafuri S (2015) Trust development and horizontal collaboration in logistics: a theory based evolutionary framework. Supply Chain Manag Int J 20(1):83–97. https://doi.org/10.1108/SCM-02-2014-0078
Sanchez Rodrigues V, Harris I, Mason R (2015) Horizontal logistics collaboration for enhanced supply chain performance: an international retail perspective. Supply Chain Manag Int J 20(6):631–647. https://doi.org/10.1108/SCM-06-2015-0218
de Sousa L, Jabbour AB, Alves Filho AG, Noronha Viana AB, Chiappetta Jabbour CJ (2011) Factors affecting the adoption of supply chain management practices: evidence from the Brazilian electro-electronic sector. IIMB Manag Rev 23(4):208–222. https://doi.org/10.1016/j.iimb.2011.09.001
Björnfot A, Torjussen L (2012) Extent and effect of horizontal supply chain collaboration among construction SME. J Eng Project Prod Manag 2(1):47–55
Aggarwal S, Srivastava MK (2016) Towards a grounded view of collaboration in Indian agri-food supply chains. Br Food J 118(5):1085–1106. https://doi.org/10.1108/BFJ-08-2015-0274
Levi-Bliech M, Naveh G, Pliskin N, Fink L (2018) Mobile technology and business process performance: the mediating role of collaborative supply-chain capabilities. Inf Syst Manag 35(4):308–329. https://doi.org/10.1080/10580530.2018.1503803
Amer LE, Eltawil AB (2015) Analysis of quantitative models of horizontal collaboration in supply chain network design: Towards “green collaborative” strategies. In: International Conference on Industrial Engineering and Operations Management (IEOM), pp. 1–10. https://doi.org/10.1109/IEOM.2015.7093759
Pomponi F, Fratocchi L, Tafuri SR, Palumbo M (2013) Horizontal collaboration in logistics : a comprehensive framework. Res Logistics Prod 3:243–254
Prakash A, Deshmukh SG (2010) Horizontal collaboration in flexible supply chains: a simulation study. J Stud Manuf 1(January):54–58. http://www.hypersciences.org/JSM/Iss.1-2010/JSM-6-1-2010.pdf
Shafique MN, Khurshid MM, Rahman H, Khanna A, Gupta D, Rodrigues JJPC (2019) The role of wearable technologies in supply chain collaboration: a case of pharmaceutical industry. IEEE Access 7:49014–49026. https://doi.org/10.1109/ACCESS.2019.2909400
van Lier T, Caris A, Macharis C (2016) Sustainability SI: bundling of outbound freight flows: analyzing the potential of internal horizontal collaboration to improve sustainability. Netw Spat Econ 16(1):277–302. https://doi.org/10.1007/s11067-014-9226-x
He Z, Ouyang J (2011) SME cluster development strategy of supply chain. In: 2nd International conference on artificial intelligence, management science and electronic commerce (AIMSEC), pp 4770–4772. https://doi.org/10.1109/AIMSEC.2011.6010161
Daudi M, Hauge JB, Thoben K-D (2016) Behavioral factors influencing partner trust in logistics collaboration: a review. Logist Res 9(1):19. https://doi.org/10.1007/s12159-016-0146-7
Hudnurkar M, Jakhar S, Rathod U (2014) Factors affecting collaboration in supply chain: a literature review. Proc Soc Behav Sci 133:189–202. https://doi.org/10.1016/j.sbspro.2014.04.184
Shin N, Park SH, Park S (2019) Partnership-based supply chain collaboration: impact on commitment, innovation, and firm performance. Sustainability (Switzerland) 11(2). https://doi.org/10.3390/su11020449
Sitadewi D, Okdinawati L (2018) The conceptual framework of horizontal collaborative transportation management in Indonesian trucking industry, pp 42–58
Simatupang TM, Sridharan R (2008) Design for supply chain collaboration. Bus Process Manag J 14(3):401–418. https://doi.org/10.1108/14637150810876698
Martin N, Verdonck L, Caris A, Depaire B (2018) Horizontal collaboration in logistics: decision framework and typology. Oper Manag Res 11(1–2):32–50. https://doi.org/10.1007/s12063-018-0131-1
Wu Q, Luo X, Slotegraaf RJ, Aspara J (2015) Sleeping with competitors: the impact of NPD phases on stock market reactions to horizontal collaboration. J Acad Mark Sci 43(4):490–511. https://doi.org/10.1007/s11747-014-0396-3
Keshavarz Ghorabaee M, Zavadskas EK, Turskis Z, Antucheviciene J (2016) A new combinative distance-based assessment (CODAS) method for multi- criteria decision-making. Econom Comput Econom Cybernet Stud Res 50(3):25–44
Zhang X, Xu Z (2014) Extension of TOPSIS to multiple criteria decision making with pythagorean fuzzy sets. Int J Intell Syst 29(12):1061–1078. https://doi.org/10.1002/int.21676
Villa Silva AJ, Pérez Dominguez LA, Martínez Gómez E, Alvarado-Iniesta A, Pérez Olguín IJC (2019) Dimensional analysis under pythagorean fuzzy approach for supplier selection. Symmetry 11(3). https://doi.org/10.3390/sym11030336
Sansabas-Villalpando V, Pérez-Olguín IJC, Pérez-Domínguez LA, Rodríguez-Picón LA, Mendez-González LC (2019) CODAS HFLTS method to appraise organizational culture of innovation and complex technological changes environments. Sustainability 11(24):7045. https://doi.org/10.3390/su11247045
Badi I, Ballem M, Shetwan A (2018) Site selection of desalination plant in Libya by using combinative distance-based assessment (CODAS) method. Int J Qual Res 12(3):609–624. https://doi.org/10.18421/IJQR12.03-04
Aguarón-Joven J, Escobar-Urmeneta MT, García-Alcaraz JL, Moreno-Jiménez JM, Vega-Bonilla A (2015) A new synthesis procedure for TOPSIS based on AHP. DYNA. https://doi.org/10.15446/dyna.v82n191.51140
Rodriguez RM, Martinez L, Herrera F (2012) Hesitant fuzzy linguistic term sets for decision making. IEEE Trans Fuzzy Syst 20(1):109–119. https://doi.org/10.1109/TFUZZ.2011.2170076
Liao H, Xu Z, Zeng X (2014) Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Inf Sci. https://doi.org/10.1016/j.ins.2014.02.125
OECD (2018) Oslo Manual 2018: Guidelines for collecting, reporting and using data on innovation. In: The measurement of scientific, technological and innovation activities, 4th edn. https://doi.org/10.1787/9789264304604-en
Brun E (2008) Ambiguity reduction in new product development projects. Int J Innov Manag 12(4):573–596. https://doi.org/10.1142/S1363919608002126
Ali H, Syed Yahaya SS (2013) On robust mahalanobis distance issued from minimum vector variance. Far East J Math Sci 74(2):249–268
Dokas P, Ertoz L, Kumar V, Lazarevic A, Srivastava J, Tan P-N (2002) Data mining for network intrusion detection. In: National science foundation workshop on next generation data mining 38(7):21–30. https://doi.org/10.1111/j.1540-5915.2001.tb00975.x
Li SZ, Jain A (eds) (2009) Mahalanobis distance. In: Encyclopedia of biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_865
Gao H, Yang J, Yin H, Ma Z (2017) The impact of partner similarity on alliance management capability, stability and performance. Int J Phys Distrib Logist Manag 47(9):906–926. https://doi.org/10.1108/IJPDLM-09-2016-0263
Pérez CD, Ozuna AA, Arriaga AA (2011) Clustering and innovation capabilities in the mexican software industry. EMJ Eng Manage J 23(4):47–56. https://doi.org/10.1080/10429247.2011.11431919
Escobedo Portillo MT, Plata JAS (2008) Mahalanobis y las aplicaciones de su distancia estadistica. Estadística 5(27):13–20
Durán Hernández F, Rodríguez Medina MA, Rodríguez Morachis M, Pérez Olguín IJC (2016) Aplicación del Sistema Mahalanobis-Taguchi (MTS), para Determinar Variables Significantes que Ayuden a Definir Perfiles de Éxito en Alumnos Egresados de la UTCJ. La Investigación Como Herramienta Del Desarrollo, pp 183–189
Jaharuddin NS, Mansor ZD, Yaakob S (2016) Assessing the supply chain intelligence practices of small medium enterprises in Malaysia. Proc Econ Finance 35:515–521. https://doi.org/10.1016/S2212-5671(16)00064-2
Kohli AS, Jensen JB (2010) Assessing effectiveness of supply chain collaboration: an empirical study. Supply Chain Forum Int J 11(2):2–16. https://doi.org/10.1080/16258312.2010.11517228
Mojarro M, Pérez RJ, García JL (2007) Comparación de la técnica TOPSIS tradicional y la técnica TOPSIS con la distancia de Mahalanobis. Caso de estudio. Actitudestrascender
Pfeifer S, Peterka SO, Stanić M (2017) Business models of micro businesses: empirical evidence from creative industries. J Contemp Manage 22:1–19
Salam MA (2017) The mediating role of supply chain collaboration on the relationship between technology, trust and operational performance. Benchmark Int J 24(2):298–317. https://doi.org/10.1108/BIJ-07-2015-0075
Siong Choy C, Kuan Yew W, Lin B (2006) Criteria for measuring KM performance outcomes in organisations. Ind Manag Data Syst 106(7):917–936. https://doi.org/10.1108/02635570610688850
Wind Y, Saaty TL (1980) Marketing applications of the analytic hierarchy process. Manage Sci 26(7):641–658. https://doi.org/10.1287/mnsc.26.7.641
Xue X, Wang S, Lu B (2016) Manufacturing service composition method based on networked collaboration mode. J Netw Comput Appl 59:28–38. https://doi.org/10.1016/j.jnca.2015.05.003
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Riosvelasco-Monroy, G.E., Pérez-Olguín, I.J.C., Flores-Amador, J., Pérez-Domínguez, L.A., Hernández-Gómez, J.A. (2023). Horizontal Collaboration Business Model Towards a Sustainable I4.0 Value Creation. In: Gholami, H., Abdul-Nour, G., Sharif, S., Streimikiene, D. (eds) Sustainable Manufacturing in Industry 4.0. Springer, Singapore. https://doi.org/10.1007/978-981-19-7218-8_9
Download citation
DOI: https://doi.org/10.1007/978-981-19-7218-8_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-7217-1
Online ISBN: 978-981-19-7218-8
eBook Packages: EngineeringEngineering (R0)