Abstract
It is important to study and apply the application method developed to service from the SCM module for designing SaaS level to the cloud system, which supports SCM tasks such as procurement, purchase, logistics and standard information as to industrial sectors. These industrial sectors are divided into sewing clothes manufacturing, other metal processing product manufacturing and building construction business in terms of usage targets of cloud-based common collaboration platform. In addition, based on the importance and object of works such as common collaboration process, cloud-based common collaboration platform objective model is designed by selecting development model and service model suitable for this study. The cloud-based common collaboration platform will be used by many and unspecified companies, which is provided as the form of public cloud. Target model design means SaaS level finally. In the case of module development costs of collaboration works, it is required to be studied more to the future. By the way, in the case of the common collaboration module, the SCM tasks which can be applied to all industrial sectors have been calculated, which was based on the manufacturing industry. Since the SCM-related functions provided by the cloud-based common collaboration platform are not specific to the specified companies sectors, they are available to all companies. Furthermore, the SCM-related functions provided by the cloud-based common collaboration platform are various and selected by the modules freely because they are provided at the level of the cloud SaaS. The SCM-related functions provided by the cloud-based common collaboration platform are easy to select. It is necessary to make universal service available to the enterprise unlike the government that has been carrying out the support project to the specified company sectors on a one-to-one basis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bartsch, V., Ebers, M., Maurer, I.: Learning in project-based organizations: The role of project teams’ social capital for overcoming barriers to learning. Int. J. Project Manage. 31(2), 239–251 (2013)
Makhija, M.: Comparing the resource-based and market-based views of the firm: empirical evidence from Czech privatization. Strateg. Manag. J. 24(5), 433–451 (2003)
Llorens, S., Cifre, E., Martínez, I.M., Schaufeli, W.B.: Perceived collective efficacy, subjective well-being and task performance among electronic work groups an experimental study. Small Group Res. 34(1), 43–73 (2003)
Srivastava, A., Bartol, K.M., Locke, E.A.: Empowering leadership in management teams: Effects on knowledge sharing, efficacy, and performance. Acad. Manag. J. 49(6), 1239–1251 (2006)
National IT Industry Promotion Agency. A Study on the Common Collaboration Platform Activation of Cloud-based Manufacturing Supply Management System (SCM) (2018)
Bardhan, I., Krishnan, V.V., Lin, S.: Team dispersion, information technology, and project performance. Prod. Oper. Manag. 22(6), 1478–1493 (2013)
Zaheer, A., Bell, G.G.: Benefiting from network position: firm capabilities, structural holes, and performance. Strateg. Manag. J. 26(9), 809–825 (2005)
Brettel, M., Mauer, R., Engelen, A., Küpper, D.: Corporate effectuation: entrepreneurial action and its impact on R&D project performance. J. Bus. Ventur. 27(2), 167–184 (2012)
Yu, Y., Hao, J.X., Dong, X.Y., Khalifa, M.: A multilevel model for effects of social capital and knowledge sharing in knowledge-intensive work teams. Int. J. Inf. Manage. 33(5), 780–790 (2013)
Tasa, K., Taggar, S., Seijts, G.H.: The development of collective efficacy in teams: a multilevel and longitudinal perspective. J. Appl. Psychol. 92(1), 17–27 (2007)
Tsai, W., Ghoshal, S.: Social capital and value creation: The role of intrafirm networks. Acad. Manag. J. 41(4), 376–464 (1998)
Gu, V.C., Hoffman, J.J., Cao, Q., Schniederjans, M.J.: The effects of organizational culture and environmental pressures on IT project performance: A moderation perspective. Int. J. Project Manage. 32(7), 1170–1181 (2014)
Gulati, R., Sytch, M.: Does familiarity breed trust? Revisiting the antecedents of trust. Manag. Decis. Econ. 29(2–3), 165–190 (2008). Brettel, M., Mauer, R., Engelen, A., Küpper, D.: Corporate effectuation: entrepreneurial action and its impact on R&D project performance. J. Bus. Vent. 27(2), 167–184 (2012)
Hackbarth, G.: The impact of organizational memory on IT systems. AMCIS 1998 Proc. 197 (1998)
Adler, P.S., Kwon, S.W.: Social capital: prospects for a new concept. Acad. Manag. Rev. 27(1), 17–40 (2002)
Bandura, A.: Editorial. Am. J. Health Promot. 12(1), 8–10 (1997)
Chang, H.H., Chuang, S.S.: Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator. Inf. Manag. 48(1), 9–18 (2011)
Chow, W.S., Chan, L.S.: Social network, social trust and shared goals in organizational knowledge sharing. Inf. Manag. 45(7), 458–465 (2008)
Chen, M.H., Chang, Y.C., Hung, S.C.: Social capital and creativity in R&D project teams. R&d Manag. 38(1), 21–34 (2008)
Coleman, J.S.: Social capital in the creation of human capital. Am. J. Sociol. 94, 95–120 (1988)
DeRue, D.S., Ashford, S.J.: Who will lead and who will follow? A social process of leadership identity construction in organizations. Acad. Manag. Rev. 35(4), 627–647 (2010)
Lee, J., Park, J.G., Lee, S.: Raising team social capital with knowledge and communication in information systems development projects. Int. J. Project Manage. 33(4), 797–807 (2015)
Liao, S.H., Fei, W.C., Chen, C.C.: Knowledge sharing, absorptive capacity, and innovation capability: an empirical study of Taiwan’s knowledge-intensive industries. J. Inf. Sci. 33(3), 340–359 (2007)
Liebowitz, J.: Knowledge management and its link to artificial intelligence. Expert Syst. Appl. 20(1), 1–6 (2001)
Meng, X.: The effect of relationship management on project performance in construction. Int. J. Project Manage. 30(2), 188–198 (2012)
Molina-Morales, F.X., Martínez-Fernández, M.T.: Social networks: effects of social capital on firm innovation. J. Small Bus. Manage. 48(2), 258–279 (2010)
Nahapiet, J., Ghoshal, S.: Social capital, intellectual capital, and the organizational advantage. Acad. Manag. Rev. 23(2), 242–266 (1998)
Di Vincenzo, F., Mascia, D.: Social capital in project-based organizations: Its role, structure, and impact on project performance. Int. J. Project Manage. 30(1), 5–14 (2012)
Stajkovic, A.D., Lee, D., Nyberg, A.J.: Collective efficacy, group potency, and group performance: meta-analyses of their relationships, and test of a mediation model. J. Appl. Psychol. 94(3), 814–828 (2009)
Tsai, Y.H., Ma, H.C., Lin, C.P., Chiu, C.K., Chen, S.C.: Group social capital in virtual teaming contexts: a moderating role of positive affective tone in knowledge sharing. Technol. Forecast. Soc. Chang. 86, 13–20 (2014)
van Emmerik, H., Jawahar, I.M., Schreurs, B., De Cuyper, N.: Social capital, team efficacy and team potency: The mediating role of team learning behaviors. Career Dev. Int. 16(1), 82–99 (2011)
Wang, S., Noe, R.A.: Knowledge sharing: A review and directions for future research. Hum. Resour. Manag. Rev. 20(2), 115–131 (2010)
Wah, C.Y., Menkhoff, T., Loh, B., Evers, H.D.: Social capital and knowledge sharing in knowledge-based organizations: an empirical study. Int. J. Knowl. Manag. 3(1), 29–48 (2009)
Hoegl, M., Weinkauf, K., Gemuenden, H.G.: Interteam coordination, project commitment, and teamwork in multiteam R&D projects: a longitudinal study. Organ. Sci. 15(1), 38–55 (2004)
Liu, Y., Keller, R.T., Shih, H.A.: The impact of team-member exchange, differentiation, team commitment, and knowledge sharing on R&D project team performance. R&D Manag. 41(3), 274–287 (2011)
Gu, Q., Wang, G.G., Wang, L.: Social capital and innovation in R&D teams: the mediating roles of psychological safety and learning from mistakes. R&D Manag. 43(2), 89–102 (2013)
Westerman, G., Bonnet, D., McAfee, A.: Leading Digital: Turning Technology into Business Transformation. Harvard Business Press (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Kim, S., Lee, H., Han, KS., Kim, JB. (2019). A Study on the Common Collaboration Platform Activation of Cloud-Based Manufacturing Supply Management System (SCM). In: Lee, R. (eds) Big Data, Cloud Computing, Data Science & Engineering. BCD 2018. Studies in Computational Intelligence, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-96803-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-96803-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-96802-5
Online ISBN: 978-3-319-96803-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)