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A Human-AI Centric Performance Evaluation System for Collaborative Business Ecosystems

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Technological Innovation for Human-Centric Systems (DoCEIS 2024)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 716))

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Abstract

In today's dynamic landscape marked by rapid technological advancements and enormous challenges, including the aftermath of recent pandemics, fostering a meaningful connection between human beings and technology, aiming for more human-centered systems that allow the creation of value for a society focused on human welfare, is paramount. Within the business realm, especially in the face of such dynamic conditions, the implementation of effective performance evaluation systems and supportive mechanisms becomes crucial. In response to this need, we propose the Performance Assessment and Adjustment Model (PAAM). This model comprises performance indicators designed to assess collaboration within a business ecosystem. Additionally, it features an influential mechanism empowering ecosystem managers to induce factors that encourage organizations to enhance their behavior. This proactive approach contributes significantly to the promotion of sustainability and resilience in collaboration. Implemented in the form of a simulation model, PAAM can be customized using data from various business ecosystems to simulate diverse scenarios. The outcomes derived from these simulations are examined and discussed, shedding light on the model's efficacy and its potential impact on collaboration within different contexts.

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References

  1. Graça, P., Camarinha-Matos, L.M.: Evolution of a collaborative business ecosystem in response to performance indicators. In: Camarinha-Matos, L.M., Afsarmanesh, H., Fornasiero, R. (eds.) PRO-VE 2017. IAICT, vol. 506, pp. 629–640. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65151-4_55

    Chapter  Google Scholar 

  2. Graça, P., Camarinha-Matos, L.M., Ferrada, F.: A model to assess collaboration performance in a collaborative business ecosystem. In: Camarinha-Matos, L.M., Almeida, R., Oliveira, J. (eds.) DoCEIS 2019. IAICT, vol. 553, pp. 3–13. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17771-3_1

    Chapter  Google Scholar 

  3. Graça, P., Camarinha-Matos, L.M.: A model of evolution of a collaborative business ecosystem influenced by performance indicators. In: Camarinha-Matos, L.M., Afsarmanesh, H., Antonelli, D. (eds.) PRO-VE 2019. IAICT, vol. 568, pp. 245–258. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28464-0_22

    Chapter  Google Scholar 

  4. Zahoor, N., Al-Tabbaa, O.: Inter-organizational collaboration and smes’ innovation: a systematic review and future research directions. Scand. J. Manag. 36(2), 101109 (2020)

    Article  Google Scholar 

  5. Zaheer, A., Gözübüyük, R., Milanov, H.: It’s the connections: the network perspective in interorganizational research. Acad. Manag. Perspect. 24(1), 62–77 (2010)

    Google Scholar 

  6. Coletta, L., Vainieri, M., Noto, G., Murante, A.M.: Assessing inter-organizational performance through customer value: a literature review. J. Bus. Ind. Mark. 36(13), 15–27 (2021)

    Article  Google Scholar 

  7. Provan, K.G., Fish, A., Sydow, J.: Interorganizational networks at the network level: a review of the empirical literature on whole networks. J. Manag. 33(3), 479–516 (2007)

    Google Scholar 

  8. Graça, P., Camarinha-Matos, L.M.: Performance indicators of a collaborative business ecosystem – a simulation study. In: Camarinha-Matos, L.M., Farhadi, N., Lopes, F., Pereira, H. (eds.) DoCEIS 2020. IAICT, vol. 577, pp. 3–17. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-45124-0_1

    Chapter  Google Scholar 

  9. Graça, P., Camarinha-Matos, L.M.: Evaluating and influencing the performance of a collaborative business ecosystem – a simulation study. In: Camarinha-Matos, L.M., Afsarmanesh, H., Ortiz, A. (eds.) PRO-VE 2020. IAICT, vol. 598, pp. 3–18. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-62412-5_1

    Chapter  Google Scholar 

  10. Graça, P., Camarinha-Matos, L.M.: Assessment of sustainable collaboration in collaborative business ecosystems. Computers 10(12), 167 (2021)

    Article  Google Scholar 

  11. Graça, P., Camarinha-Matos, L.M.: Influencing collaboration in sustainable business ecosystems. In: Camarinha-Matos, L.M., Boucher, X., Ortiz, A. (eds.) Collaborative Networks in Digitalization and Society 5.0, pp. 3–20. Springer Nature Switzerland, Cham (2023). https://doi.org/10.1007/978-3-031-42622-3_1

  12. Denise, L.: Collaboration vs. c-three (cooperation, coordination, and communication). Innovating 7(3), 1–6 (1999)

    Google Scholar 

  13. Lozano, R.: Collaboration as a pathway for sustainability. Sustain. Dev. 15(6), 370–381 (2007)

    Article  Google Scholar 

  14. Adner, R., Oxley, J.E., Silverman, B.S.: Introduction: collaboration and competition in business ecosystems. In: Collaboration and Competition in Business Ecosystems. Advances in Strategic Management, vol. 30, pp. ix–xvii. Emerald Group Publishing Limited, January 2013

    Google Scholar 

  15. Camarinha-Matos, L.M., Afsarmanesh, H.: The emerging discipline of collaborative networks. In: Camarinha-Matos, L.M. (ed.) PRO-VE 2004. IIFIP, vol. 149, pp. 3–16. Springer, Boston, MA (2004). https://doi.org/10.1007/1-4020-8139-1_1

    Chapter  Google Scholar 

  16. Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative Networks: Reference Modeling. Springer, Boston, MA, USA (2008)

    Book  Google Scholar 

  17. Belecheanu, R., Pawar, K.S., Riedel, J., Santoro, R., Conte, M.: Aricon initiative: Barriers in adopting the virtual enterprise approach in the new product development (npd) context. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds.) PRO-VE 2003. ITIFIP, vol. 134, pp. 123–134. Springer, Boston, MA (2004). https://doi.org/10.1007/978-0-387-35704-1_13

    Chapter  Google Scholar 

  18. Conte, M., Santoro, R., Riedel, J.C.K.H., Pawar, K.S.: The aricon ve readiness assessment approach in the new product development (npd) context. In: Camarinha-Matos, L.M. (ed.) PRO-VE 2004. IIFIP, vol. 149, pp. 499–506. Springer, Boston, MA (2004). https://doi.org/10.1007/1-4020-8139-1_53

    Chapter  Google Scholar 

  19. Katzy, B., Zhang, C., Löh, H.: Reference models for virtual organisations, pp. 45–58. Springer, Boston (2005). https://doi.org/10.1007/0-387-23757-7_4

  20. Camarinha-Matos, L.M., Afsarmanesh, H., (eds.) Some basic concepts, pp. 7–10. Springer, Boston (2004). https://doi.org/10.1007/1-4020-7833-1_2

  21. Rabelo, R.J., Gusmeroli, S.: The ecolead collaborative business infrastructure for networked organizations. In: Camarinha-Matos, L.M., Picard, W. (eds.) PRO-VE 2008. ITIFIP, vol. 283, pp. 451–462. Springer, Boston, MA (2008). https://doi.org/10.1007/978-0-387-84837-2_47

    Chapter  Google Scholar 

  22. Rabelo, R.J., Gusmeroli, S., Arana, C., Nagellen, T.: The ecolead ict infrastructure for collaborative networked organizations. In: Network-Centric Collaboration and Supporting Frameworks, pp. 451–460. Springer US, Boston, MA (2006). https://doi.org/10.1007/978-0-387-38269-2_47

    Chapter  Google Scholar 

  23. Sitek, P., Gusmeroli, S., Conte, M., Jansson, K., Karvonen, I.: The COIN Book: Enterprise Collaboration and Interoperability. Mainz (2011)

    Google Scholar 

  24. Camarinha-Matos, L.M., Afsarmanesh, H.: A comprehensive modeling framework for collaborative networked organizations. J. Intell. Manuf. 18(5), 529–542 (2007)

    Article  Google Scholar 

  25. Rabelo, R.J., Bernus, P., Romero, D.: Innovation ecosystems: a collaborative networks perspective. In: Camarinha-Matos, L.M., Bénaben, F., Picard, W. (eds.) PRO-VE 2015. IAICT, vol. 463, pp. 323–336. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24141-8_29

    Chapter  Google Scholar 

  26. Oliveira, A.I., Pereira, P., Jassbi, J.: Collaborative safe escape in digital transformation. In: Camarinha-Matos, L.M., Afsarmanesh, H., Antonelli, D. (eds.) PRO-VE 2019. IAICT, vol. 568, pp. 431–444. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28464-0_37

    Chapter  Google Scholar 

  27. Canning, M., Kelly, E.: Business ecosystems come of age (2015). https://www2.deloitte.com/content/dam/insights/us/articles/platform-strategy-new-level-business-trends/DUP_1048-Business-ecosystems-come-of-age_MASTER_FINAL.pdf. Accessed 7 Jan 2019

  28. Espina-Romero, L.C., Guerrero-Alcedo, J.M., Ossio, C.: 7 topics that business ecosystems navigate: assessment of scientific activity and future research agenda. HELIYON 9(6), June 2023

    Google Scholar 

  29. Rong, K., Lin, Y., Du, W., Yang, S.: Business ecosystem-oriented business model in the digital era. Technol. Anal. Strateg. Manage., 1–18 (2023)

    Google Scholar 

  30. Tawaststjerna, T., Olander, H.: Managing digital transformation in digital business ecosystems. Int. J. Innov. Manag. 25(10), 2140003 (2021)

    Article  Google Scholar 

  31. Briscoe, G.: Complex adaptive digital ecosystems. In: Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2010, pp. 39–46. Association for Computing Machinery, New York (2010)

    Google Scholar 

  32. Abreu, A., Camarinha-Matos, L.M.: An approach to measure social capital in collaborative networks. In: Camarinha-Matos, L.M., Pereira-Klen, A., Afsarmanesh, H. (eds.) PRO-VE 2011. IAICT, vol. 362, pp. 29–40. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23330-2_4

    Chapter  Google Scholar 

  33. Andrade-Garda, J., et al.: A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks. Cogn. Technol. Work 22(2), 235–248 (2020)

    Article  Google Scholar 

  34. Camarinha-Matos, L.M., Abreu, A.: Performance indicators for collaborative networks based on collaboration benefits. Prod. Plann. Control 18(7), 592–609 (2007)

    Article  Google Scholar 

  35. Faustino, C.A., Gohr, C.F., Santos, L.C.: An approach for evaluating collaboration attributes in cluster-based companies. Int. J. Prod. Res. 57(8), 2356–2371 (2019)

    Article  Google Scholar 

  36. Mulyana, M., Wasitowati, W.: The improvement of collaborative networks to increase small and medium enterprises (SMEs) performance. Serb. J. Manage. 16(1), 213–229 (2021)

    Article  Google Scholar 

  37. Pekkola, S., Ukko, J.: Designing a performance measurement system for collaborative network. Int. J. Oper. Prod. Manag. 36(11), 1410–1434 (2016)

    Article  Google Scholar 

  38. Baah, C., et al.: Effect of information sharing in supply chains: understanding the roles of supply chain visibility, agility, collaboration on supply chain performance. Benchmarking Int. J. 29(2), 434–455 (2022)

    Article  Google Scholar 

  39. Ramanathan, U.: Performance of supply chain collaboration - a simulation study. Expert Syst. Appl. 41(1), 210–220 (2014)

    Article  Google Scholar 

  40. Harjit Singh, R., Garg, A.S.: Supply chain collaboration: a state-of-the-art literature review. Uncertain Supply Chain Manage. 6(2), 149–180 (2018)

    Article  Google Scholar 

  41. Claudine Antoinette Soosay and Paul Hyland: A decade of supply chain collaboration and directions for future research. Supply Chain Manage. Int. J. 20(6), 613–630 (2015)

    Article  Google Scholar 

  42. Gopal, P.R.C., Thakkar, J.: A review on supply chain performance measures and metrics 2000–2011. Int. J. Prod. Perform. Manage. 61(5), 518–547 (2012)

    Article  Google Scholar 

  43. Gunasekaran, A., Patel, C., McGaughey, R.E.: A framework for supply chain performance measurement. Int. J. Prod. Econ. 87(3), 333–347 (2004). Supply Chain Management for the 21st Century Organizational Competitiveness

    Google Scholar 

  44. Gunasekaran, A., Patel, C., Tirtiroglu, E.: Performance measures and metrics in a supply chain environment. Int. J. Oper. Prod. Manag. 21(1/2), 71–87 (2001)

    Article  Google Scholar 

  45. Hassini, E., Surti, C., Searcy, C.: A literature review and a case study of sustainable supply chains with a focus on metrics. Int. J. Prod. Econ. 140(1), 69–82 (2012). Sustainable Development of Manufacturing and Services

    Google Scholar 

  46. Mishra, D., Gunasekaran, A., Papadopoulos, T., Dubey, R.: Supply chain performance measures and metrics: a bibliometric study. Benchmarking Int. J. 25(3), 932–967 (2018)

    Article  Google Scholar 

  47. Ramanathan, U., Gunasekaran, A., Subramanian, N.: Supply chain collaboration performance metrics: a conceptual framework. Benchmarking Int. J. 18(6), 856–872 (2011)

    Article  Google Scholar 

  48. Vereecke, A., Muylle, S.: Performance improvement through supply chain collaboration in europe. Int. J. Oper. Prod. Manag. 26(11), 1176–1198 (2006)

    Article  Google Scholar 

  49. Ramanathan, U., Gunasekaran, A.: Supply chain collaboration: impact of success in long-term partnerships. Int. J. Prod. Econ. 147, 252–259 (2014). Building Supply Chain System Capabilities in the Age of Global Complexity: Emerging Theories and Practices

    Google Scholar 

  50. Solaimani, S., van der Veen, J.: Open supply chain innovation: an extended view on supply chain collaboration. Supply Chain Manage. Int. J. 27(5), 597–610 (2022)

    Article  Google Scholar 

  51. Al-Taie, M., Kadry, S.: Applying social network analysis to analyze a web-based community. arXiv preprint arXiv:1212.6050 (2012)

  52. Xiao, Z., Zhou, G., Wang, B.: Using modified barabási and albert model to study the complex logistic network in eco-industrial systems. Int. J. Prod. Econ. 140(1), 295–304 (2012). Sustainable Development of Manufacturing and Services

    Google Scholar 

  53. Hoppe, B., Reinelt, C.: Social network analysis and the evaluation of leadership networks. Leadersh. Quart. 21(4), 600–619 (2010). Leadership Development Evaluation

    Google Scholar 

  54. D’Ignazio, A., Giovannetti, E.: Continental differences in the clusters of integration: Empirical evidence from the digital commodities global supply chain networks. Int. J. Prod. Econ. 147, 486–497 (2014). Building Supply Chain System Capabilities in the Age of Global Complexity: Emerging Theories and Practices

    Google Scholar 

  55. Sloane, A., OReilly, S.: The emergence of supply network ecosystems: a social network analysis perspective. Prod. Plan. Control 24(7), 621–639 (2013)

    Google Scholar 

  56. Purbasari, R., Munajat, E., Fauzan, F.: Digital innovation ecosystem on digital entrepreneur: social network analysis approach. Int. J. E-Entrepreneurship Innov. (IJEEI) 13(1), 1–21 (2023)

    Article  Google Scholar 

  57. Wallmann, C., Gerschberger, M.: The association between network centrality measures and supply chain performance: the case of distribution networks. Procedia Comput. Sci. 180, 172–179 (2021). Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020)

    Google Scholar 

  58. Ferreira, A.S., Neto, M.S., Candido, S.E.A., Ferratti, G.M.: Network centrality and performance: effects in the automotive industry. Revista Brasileira de Gestão de Negócios 23(4), 677–695 (2021)

    Google Scholar 

  59. Burt, R.S.: Structural Holes: The Social Structure of Competition. Harvard University Press (1992)

    Google Scholar 

  60. Burt, R.S.: The network structure of social capital. Res. Organ. Behav. 22, 345–423 (2000)

    Google Scholar 

  61. Ferreira, M.P., Armagan, S.: Using social networks theory as a complementary perspective to the study of organizational change. BAR Braz. Adm. Rev. 8(2), 168–184 (2011)

    Article  Google Scholar 

  62. Kaya, B., Abubakar, A.M., Behravesh, E., Yildiz, H., Mert, I.S.: Antecedents of innovative performance: Findings from pls-sem and fuzzy sets (fsQCA). J. Bus. Res. 114, 278–289 (2020)

    Article  Google Scholar 

  63. Hemmert, M.: The relevance of inter-personal ties and inter-organizational tie strength for outcomes of research collaborations in South Korea. Asia Pac. J. Manage. 36(2), 373–393 (2019)

    Article  Google Scholar 

  64. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Quarterly 28(1), 75–105 (2004)

    Google Scholar 

  65. Hevner, A., Chatterjee, S.: Design science research in information systems, pp. 9–22. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-5653-8_2

  66. Peffers, K., Rothenberger, M., Tuunanen, T., Vaezi, R.: Design science research evaluation. In: Peffers, K., Rothenberger, M., Kuechler, B. (eds.) DESRIST 2012. LNCS, vol. 7286, pp. 398–410. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29863-9_29

    Chapter  Google Scholar 

  67. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–77 (2007)

    Article  Google Scholar 

  68. Venable, J., Pries-Heje, J., Baskerville, R.: FEDS: a framework for evaluation in design science research. Eur. J. Inf. Syst. 25(1), 77–89 (2016)

    Article  Google Scholar 

  69. Nguyen, H.D., Eiring, O., Poo, D.: In-situ simulation in design science research: Evaluation of complex design artifacts (2018)

    Google Scholar 

  70. Abreu, A., Camarinha-Matos, L.M.: A benefit analysis model for collaborative networks. In: Collaborative Networks: Reference Modeling, pp. 253–276. Springer, Boston (2008). https://doi.org/10.1007/978-0-387-79426-6_18

  71. Abreu, A., Camarinha-Matos, L.M.: On the role of value systems to promote the sustainability of collaborative environments. Int. J. Prod. Res. 46(5), 1207–1229 (2008)

    Article  Google Scholar 

  72. Fadeeva, Z.: Promise of sustainability collaboration - potential fulfilled? J. Cleaner Prod. 13(2), 165–174 (2005). Sustainable tourism

    Google Scholar 

  73. Baregheh, A., Rowley, J., Sambrook, S.: Towards a multidisciplinary definition of innovation. Manag. Decis. 47(8), 1323–1339 (2009)

    Article  Google Scholar 

  74. Ahuja, G.: Collaboration networks, structural holes, and innovation: a longitudinal study. Adm. Sci. Q. 45(3), 425–455 (2000)

    Article  Google Scholar 

  75. Freeman, L.C.: Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215–239 (1978)

    Article  Google Scholar 

  76. Gao, S., Yin, F., Chen, J., Guo, Y.: The mechanism of inter-organizational collaboration network on innovation performance evidences from east coastal enterprises in China. J. Coast. Res. 94(SI), 945–949 (2019)

    Article  Google Scholar 

  77. Ahuja, G., Soda, G., Zaheer, A.: The genesis and dynamics of organizational networks. Organ. Sci. 23(2), 434–448 (2012)

    Article  Google Scholar 

  78. Leitão, D., Saleiro, P., Figueiredo, M.A.T., Bizarro, P.: Human-AI collaboration in decision-making: beyond learning to defer (2022)

    Google Scholar 

  79. Borshchev, A.: The Big Book of Simulation Modeling: Multimethod Modeling with AnyLogic 6. AnyLogic North America, Illinois (2013)

    Google Scholar 

  80. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  81. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)

    Article  Google Scholar 

  82. Venkatesh, V., Davis, F.D.: A model of the antecedents of perceived ease of use: development and test. Decis. Sci. 27(3), 451–481 (1996)

    Article  Google Scholar 

  83. Krippendorff, K.: Content Analysis: An Introduction to Its Methodology, 4th edn. Thousand Oaks, California (2019)

    Book  Google Scholar 

  84. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)

    Article  Google Scholar 

  85. Habidin, N.F., Waheda, T., Muhamad, U.: The Interdisciplinary of Management, Economic and Social Research. Kaizentrenovation Sdn Bhd, January 2020

    Google Scholar 

Download references

Acknowledgement

This work was supported in part by the Portuguese FCT program UIDB/00066/2020 (Center of Technology and Systems – CTS).

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Authors and Affiliations

  1. Faculty of Sciences and Technology, Uninova-CTS and LASI, NOVA University of Lisbon, Campus de Caparica, 2829-516, Caparica, Portugal

    Paula Graça & Luís M. Camarinha-Matos

  2. Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007, Lisbon, Portugal

    Paula Graça

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  1. Paula Graça
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Correspondence to Paula Graça or Luís M. Camarinha-Matos .

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  1. NOVA University Lisbon, Monte da Caparica, Portugal

    Luis M. Camarinha-Matos

  2. NOVA University Lisbon, Monte da Caparica, Portugal

    Filipa Ferrada

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Graça, P., Camarinha-Matos, L.M. (2024). A Human-AI Centric Performance Evaluation System for Collaborative Business Ecosystems. In: Camarinha-Matos, L.M., Ferrada, F. (eds) Technological Innovation for Human-Centric Systems. DoCEIS 2024. IFIP Advances in Information and Communication Technology, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-031-63851-0_1

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