Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Identify the Critical Factors Influencing the Indexing Work of CoPS: : A Multiagent Oriented Network Perspective

Published: 30 April 2024 Publication History

Abstract

The indexing work of complex products and systems (CoPS) is to determine a comprehensive set of indicators to ensure seamless integration of CoPS modules. Despite its pivotal role as a pioneering phase in CoPS development, indexing work has garnered relatively scant research attention. This paper explores CoPS indexing work through a network game model that considers a main manufacturer and several suppliers. The primary aim is to discern the key influencing factors affecting CoPS indexing work and elucidate the influence mechanism. Several interesting conclusions have been drawn: (1) subjective, environmental, and structural factors as the three key aspects influencing the CoPS indexing work network; (2) Subjective factors directly influence the agencies’ selection of the optimal effort level for collaborative work, whereas environmental and structural factors indirectly impact their choice by affecting their network centrality; (3) the environmental factors within the indexing work network dictate the rate at which interagent interactions diminish with distance. To demonstrate and validate the research’s findings, an examination of the indexing process of the China Lanxin High-speed Railway is conducted. This study offers new insights into CoPS indexing work, providing both theoretical references and practical suggestions for project teams to improve collaborative efficiency.

References

[1]
M. Hobday, “Product complexity, innovation and industrial organisation,” Research Policy, vol. 26, no. 6, pp. 689–710, 1998.
[2]
L. Bai, Y. An, and Y. Sun, “Measurement of project portfolio benefits with a GA-BP neural network group,” IEEE Transactions on Engineering Management, vol. 71, pp. 4737–4749, 2024.
[3]
T. U. Pimmler and S. D. Eppinger, “Integration analysis of product decompositions,” in 6th International Conference on Design Theory and Methodology, pp. 343–351, American Society of Mechanical Engineers, Minneapolis, MI, USA, 1994.
[4]
M. E. Sosa, “Where do creative interactions come from? The role of tie content and social networks,” Organization Science, vol. 22, pp. 1–21, 2011.
[5]
M. Iansiti and J. West, “Technology integration: turning great research into great products,” Harvard Business Review on Managing High-Tech Industries, vol. 75, pp. 1–29, 1999.
[6]
M. E. Sosa, S. D. Eppinger, and C. M. Rowles, “Identifying modular and integrative systems and their impact on design team interactions,” Journal of Mechanical Design, vol. 125, no. 2, pp. 240–252, 2003.
[7]
M. E. Sosa, S. D. Eppinger, and C. M. Rowles, “A network approach to define modularity of components in complex products,” Journal of Mechanical Design, vol. 129, no. 11, pp. 1118–1129, 2007.
[8]
B. She, B. Chen, and N. G. Hall, “Buffer sizing in critical chain project management by network decomposition,” Omega, vol. 102, 2021.
[9]
Y. Yu, Logistics Cost Control Method of the Core Enterprise of the Supply Chain, Dtssehs, New York, NY, USA, 2019.
[10]
M. R. Frascatore, “R&D cost sharing along the supply chain,” International Journal of Business and Economics, vol. 10, pp. 1–11, 2011.
[11]
H. D. Poudeh, M. Cheshmberah, H. Torabi, M. H. Karimi Gavareshki, and R. Hosnavi, “Determining and prioritizing the factors influencing the outsourcing of Complex Product Systems R&D projects employing ANP and grey-DEMATEL method (case study: aviation Industries Organization, Iran),” Technology in Society, vol. 56, pp. 57–68, 2019.
[12]
T. Hellebrandt, I. Heine, and R. H. Schmitt, “Knowledge management framework for complaint knowledge transfer to product development,” Procedia Manufacturing, vol. 21, pp. 173–180, 2018.
[13]
Y. Ren, K. T. Yeo, and Y. Ren, “Risk management capability maturity and performance of complex product and system (CoPS) projects with an asian perspective,” Journal of Engineering, p. 18, 2014.
[14]
D. Dietrich and E. Cudney, “Methods and considerations for the development of emerging manufacturing technologies into a global aerospace supply chain,” International Journal of Production Research, vol. 49, no. 10, pp. 2819–2831, 2011.
[15]
R. Carmona and P. Wang, “Finite-state contract theory with a principal and a field of agents,” Management Science, vol. 67, no. 8, pp. 4725–4741, 2021.
[16]
J. A. França, N. Lakemond, and G. Holmberg, “The coordination of technology development for complex products and systems innovations,” JBIM, vol. 37, no. 13, pp. 106–123, 2022.
[17]
Z. Yang, L. Qi, X. Li, and T. Wang, “How does successful catch-up occur in complex products and systems from the innovation ecosystem perspective? A case of China’s high-speed railway,” Sustainability, vol. 14, no. 13, p. 7930, 2022.
[18]
R. Zhao, N. Feng, F. Wei, and Y. Wang, “Rewards and knowledge sharing in the CoPS development context: the moderating role of transformational leadership,” JKM, vol. 27, no. 5, pp. 1228–1250, 2023.
[19]
J. S. Kim and I. Miles, “Examining dynamic system integration capabilities in knowledge boundaries of convergent service architectures: two cases of a telecommunication company,” IJTM, vol. 92, no. 3, p. 184, 2023.
[20]
Y. Yu, N. Lakemond, and G. Holmberg, “AI in the context of complex intelligent systems: engineering management consequences,” IEEE Transactions on Engineering Management, pp. 1–14, 2023.
[21]
P. S. Chinowsky, J. Diekmann, and J. O’Brien, “Project organizations as social networks,” Journal of Construction Engineering and Management, vol. 136, no. 4, pp. 452–458, 2010.
[22]
D. Hicks, M. F. Cavanagh, and A. VanScoy, “Social network analysis: a methodological approach for understanding public libraries and their communities,” Library & Information Science Research, vol. 42, no. 3, 2020.
[23]
S. Z. Dogan, D. Arditi, S. Gunhan, and B. Erbasaranoglu, “Assessing coordination performance based on centrality in an E-mail communication network,” Journal of Management in Engineering, vol. 31, no. 3, 2015.
[24]
M. E. Sosa, S. D. Eppinger, and C. M. Rowles, “The misalignment of product architecture and organizational structure in complex product development,” Management Science, vol. 50, no. 12, pp. 1674–1689, 2004.
[25]
B. Gokpinar, W. J. Hopp, and S. M. R. Iravani, “The impact of misalignment of organizational structure and product architecture on quality in complex product development,” Management Science, vol. 56, no. 3, pp. 468–484, 2010.
[26]
L. Liu, C. Han, and W. Xu, “Evolutionary analysis of the collaboration networks within national quality award projects of China,” International Journal of Project Management, vol. 33, no. 3, pp. 599–609, 2015.
[27]
L. Hossain and A. Wu, “Communications network centrality correlates to organisational coordination,” International Journal of Project Management, vol. 27, no. 8, pp. 795–811, 2009.
[28]
J. Son and E. M. Rojas, “Evolution of collaboration in temporary project teams: an agent-based modeling and simulation approach,” Journal of Construction Engineering and Management, vol. 137, no. 8, pp. 619–628, 2011.
[29]
L. Bai, C. Song, X. Zhou, Y. Tian, and L. Wei, “Assessing project portfolio risk via an enhanced GA-BPNN combined with PCA,” Engineering Applications of Artificial Intelligence, vol. 126, 2023.
[30]
S. M. Hosseinian and A. Jaberi, “Optimal sharing of construction project outcomes with downstream contracting parties: principal–agent analysis,” Journal of Construction Engineering and Management, vol. 150, no. 2, 2024.
[31]
P. Sun and F. Tian, “Optimal contract to induce continued effort,” Management Science, vol. 64, no. 9, pp. 4193–4217, 2018.
[32]
D. Páez-Pérez and M. Sánchez-Silva, “A dynamic principal-agent framework for modeling the performance of infrastructure,” European Journal of Operational Research, vol. 254, no. 2, pp. 576–594, 2016.
[33]
G. Baker, “Distortion and risk in optimal incentive contracts,” Journal of Human Resources, vol. 37, no. 4, p. 728, 2002.
[34]
R. Yang, Y. Mai, C. Lee, and C. Teo, “Tractable compensation plan under asymmetric information,” Production and Operations Management, vol. 29, no. 5, pp. 1212–1218, 2020.
[35]
S. Sarkar, “Gratitude, conscience, and reciprocity: models of supplier motivation when quality is non-contractible,” European Journal of Operational Research, vol. 277, no. 2, pp. 633–642, 2019.
[36]
J.-J. Laffont and D. Martimort, The Theory of Incentives: The Principal-Agent Model, Princeton University Press, Princeton, NJ, USA, 2002.
[37]
C.-S. Hsieh, M. D. König, and X. Liu, “A structural model for the coevolution of networks and behavior,” The Review of Economics and Statistics, vol. 104, no. 2, pp. 355–367, 2022.
[38]
C. Ballester, A. Calvó-Armengol, and Y. Zenou, “Who’s who in networks. Wanted: the key player,” Econometrica, vol. 74, no. 5, pp. 1403–1417, 2006.
[39]
J. Liu and G. Ma, “Study on incentive and supervision mechanisms of technological innovation in megaprojects based on the principal-agent theory,” ECAM, vol. 28, no. 6, pp. 1593–1614, 2021.
[40]
J. Zhu, M. Hertogh, J. Zhang, Q. Shi, and Z. Sheng, “Incentive mechanisms in mega project-risk management considering owner and insurance company as principals,” Journal of Construction Engineering and Management, vol. 146, no. 10, 2020.
[41]
J. Zhou and Y.-J. Chen, “Targeted information release in social networks,” Operations Research, vol. 64, no. 3, pp. 721–735, 2016.
[42]
Y. Zenou, “Networks in economics,” in International Encyclopedia of the Social & Behavioral Sciences, pp. 572–581, Elsevier, Amsterdam, Netherlands, 2015.
[43]
T. Kretschmer and P. Puranam, “Integration through incentives within differentiated organizations,” Organization Science, vol. 19, no. 6, pp. 860–875, 2008.
[44]
M. Battaglini, E. Patacchini, and E. Rainone, “Endogenous social interactions with unobserved networks,” The Review of Economic Studies, vol. 89, no. 4, pp. 1694–1747, 2022.
[45]
A. Calvó-Armengol, E. Patacchini, and Y. Zenou, “Peer effects and social networks in education,” The Review of Economic Studies, vol. 76, no. 4, pp. 1239–1267, 2009.
[46]
J. de Martí and Y. Zenou, “Network games with incomplete information,” Journal of Mathematical Economics, vol. 61, pp. 221–240, 2015.
[47]
M. O. Jackson and Y. Zenou, “Games on networks,” in Handbook of Game Theory with Economic Applications, pp. 95–163, Elsevier, Amsterdam, Netherlands, 2015.
[48]
A. Piepponen, P. Ritala, J. Keränen, and P. Maijanen, “Digital transformation of the value proposition: a single case study in the media industry,” Journal of Business Research, vol. 150, pp. 311–325, 2022.
[49]
S. Ketonen-Oksi, “Developing organizational futures orientation—a single case study exploring and conceptualizing the transformation process in practice,” IEEE Transactions on Engineering Management, vol. 69, no. 2, pp. 537–550, 2022.
[50]
R. K. Yin, Case Study Research: Design and Methods, SAGE, New York, NY, USA, 2009.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Complexity
Complexity  Volume 2024, Issue
2024
1625 pages
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

John Wiley & Sons, Inc.

United States

Publication History

Published: 30 April 2024

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Oct 2024

Other Metrics

Citations

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media