Abstract :

Implementation Building Information Modeling (BIM) is aimed to create an effective, efficient and accountable construction process through the application of digital construction technology. This thesis takes PT Glodon Technical Indonesia as a case study, which indicates an empirical study of a company that provides a BIM technology for construction services industry in Indonesia. This study analyzes the role of regulators and universities in the business development of a technology company with B2B (Business to Business) products. This paper discusses the company’s situation, marketing methods, strategic collaboration and market coverage. Then analyzed through the impact of government regulations, strategic cooperation with regulators and capacity building with universities. Lastly, based on an analysis of the goals and options of corporate strategic planning, this study puts forward the strategic direction of business development collaboration with regulators and universities.

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Keywords :

B2B, Business Development, Digital construction

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References :

1. Abanda, F.H., Vidalakis, C., Oti, A.H. and Tah, J.H.M. (2015). A critical analysis of Building Information Modelling systems used in construction projects. Advances in Engineering Software, Volume 90, 2015, 183-201. http://dx.doi.org/10.1016/j.advengsoft.2015.08.009 accessed on 4 December 2022
2. Battista, M. (2022, December 11). PESTLE analysis. The Chartered Institute of Personnel and Development 2022.
   https://www.cipd.co.uk/knowledge/strategy/organisational-development/pestle-analysis-factsheet
3. Berges-Alvarez, I., Sanguinetti, C.M., Giraldi, S., Marín-Restrepo, L. (2022). Environmental and economic criteria in early phases of building design through Building Information Modeling: A workflow exploration in developing countries. Building and Environment, Volume 226, 2022, 109718.
   https://doi.org/10.1016/j.buildenv.2022.109718 accessed on 18 December 2022.
4. BPSDM PUPR (2019). Pengenalan Building Information Modelling. https://bpsdm.pu.go.id/center/pelatihan/uploads/edok/2019/08/a4dc2_PENGENALAN_BUILDING_INFORMATION_MODELING__BIM_.pdf, accessed at 27 October 2022.
5. Charef, Radia (2022). The use of Building Information Modelling in the circular economy context: Several models and a new dimension of BIM (8D). Cleaner Engineering and Technology, Volume 7, 2022, 100414. https://doi.org/10.1016/j.clet.2022.100414 accessed 10 December 2022.
6. Chatzimichailidou, M. and Ma, Y. (2022). Using BIM in the safety risk management of modular construction. Safety Science, Volume 154, 2022, 105852. https://doi.org/10.1016/j.ssci.2022.105852 accessed on 10 December 2022.
7. Chen, G., Yan, Z., Chen, J. and Li, Q. (2022). Building information modelling (BIM) outsourcing decisions of contractors in the construction industry: Constructing and validating a conceptual model. Developments in the Built Environment, Volume 12, 2022, 100090. https://doi.org/10.1016/j.dibe.2022.100090 accessed on 10 December 2022.
8. Cheng, B., Huang, J., Lu, K., Li, J., Gao, G., Wang, T. and Chen, H. (2022). BIM-enabled life cycle assessment of concrete formwork waste reduction through prefabrication. Sustainable Energy Technologies and Assessments, Volume 53, 2022, 102449. https://doi.org/10.1016/j.seta.2022.102449 accessed on 28 December 2022.
9. Collinge, W.H., Farghaly, K., Mosleh, M.H., Manu, P., Cheung, C.M., and Osorio-Sandoval, C.A. (2022). BIM-based construction safety risk library. Automation in Construction, Volume 141, 2022, 104391. https://doi.org/10.1016/j.autcon.2022.104391 accessed on 2 December 2022.
10. Cortés-Pérez, J.P., Cortés-Pérez, A., and Prieto-Muriel, P. (2020). BIM-integrated management of occupational hazards in building construction and maintenance. Automation in Construction, Volume 113, May 2020, 103115. https://doi.org/10.1016/j.autcon.2020.103115 accessed on 3 December 2022.
11. Dauletbek, A. and Zhou, P. (2021). BIM-based LCA as a comprehensive method for the refubishment of existing dwellings considering environmental compatibility, energy efficiency, and profitability: A case study in China. Journal of Building Engineering, Volume 46, April 2022, 103852. https://doi.org/10.1016/j.jobe.2021.103852 accessed on 8 December 2022.
12. Di Biccari, C., Calcerano, F., D’Uffizi, F., Esposito, A., Campari, M. and Gigliarelli, E. (2022). Building information modelling and building performance simulation interoperability: State-of-the-art and trends in current literature. Advanced Engineering Informatics, Volume 54, 2022, 101753. https://doi.org/10.1016/j.aei.2022.101753 accessed on 10 December 2022.
13. Faqih, N.U., Erizal and Putra, H. (2022). Peningkatan Efisiensi Biaya Pembangunan Gedung Bertingkat dengan Aplikasi Building Information Modelling (BIM) 5D. Teras Jurnal.
14. Fernández-Mora, V. et al (2022). Integration of the structural project into the BIM paradigm: A literature review. Journal of Building Engineering 53, Volume 53, 1 August 2022, 104318. https://doi.org/10/1016/j.jobe.2022.104318 accessed at 10 December 2022
15. Gao, K. and Yuan, Y. (2022). Government intervention, spillover effect and urban innovation performance: Empirical evidence from national innovative city pilot policy in China. Technology in Society, Volume 70, August 2022, 102305. https://doi.org/10.1016/j.techsoc.2022.102035 accessed at 10 December 2022.
16. Guo, T., Campbell-Arvai, V., and Cardinale, B.J. (2021). Why does the public support or oppose agricultural nutrient runoff regulations? The effects of political orientation, environmental worldview, and policy specific beliefs. Journal of Environmental Management, Volume 279, February 2021, 111708. https://doi.org/10.1016/j.eiar.2022.106907 accessed 22 December 2022.
17. Han, T., Ma, T., Fang, Z., Zhang, Y. and Han, C. (2022). A BIM-IoT and intelligent compaction integrated framework for advanced road compaction quality monitoring and management. Computers and Electrical Engineering, Volume 100, May 2022, 107981. https://doi.org/10.1016/j.compeleceng.2107981 accessed 10 December 2022.
18. Hong, Y., Hammad, A.W.A., and Nezhad, A.A. (2022). Optimising the implementation of BIM: A 2-stage stochastic programming approach. Automation in Construction, Volume 136, 2022, 104170. https://doi.org/10.1016/j.autcon.2022.104170 accessed on 2 December 2022.
19. Hoory, L. and Bottorff, C. (2022). What is a stakeholder analysis?. Forbes. https://www.forbes.com/advisor/business/what-is-stakeholder-analysis/ accessed at 27 October 2022.
20. Gartoumi, K.I., Aboussaleh, M., and Zaki, S. (2022). The workability and usefulness of building information modelling based design for building performance. Materials Today: Proceedings, Volume 58, 2022, 1174-1180. https://doi.org/10.1016/j.matpr.2022.01.312 accessed on 5 December 2022.
21. Laali, A., Nourzad, S.H.H., and Faghihi, V. (2022). Optimizing sustainability of infrastructure projects through the integration of building information modelling and envision rating system at the design stage. Sustainable Cities and Society, Volume 84, 2022, 104013. https://doi.org/10.1016/j.scs.2022.104013 accessed on 3 December 2022.
22. Laksono, M.Y. (2022, December 10). Nilai Konstruksi Bangunan Diproyeksi Rp 27 Triliun, ini Sektor yang Mendominasi. Kompas. https://www.kompas.com/properti/read/2022/12/10/180000221/nilai-konstruksi-bangunan-diproyeksi-rp-27-triliun-ini-sektor-yang
23. Lenderink, B. et al (2020). A method to encourage and assess innovation in public tenders for infrastructure and construction projects. Construction Innovation, Volume 20 (2), 171-189. https://doi.org/10.1108/CI-05-2019-0044, accessed on 3 January 2023.
24. Lenderink, B. et al (2022). Procurement and innovation risk management: How a public client managed to realize a radical green innovation in a civil engineering project. Journal of Purchasing and Supply Management, Volume 28 (1), January 2022, 100747. https://doi.org/10.1016/j.pursup.2022.100747 accessed on 12 December 2022.
25. Leydesdorff, Loet (2012). The Knowledge-Based Economy and the Triple Helix Model. University of Amsterdam, Amsterdam School of Communications Research.
26. Li, J., Li, N., Peng, J., Cui, H. and Wu, Z. (2018). A review of currently applied building information modelling tools of constructions in China. Journal of Cleaner Production, Volume 201, 2018, 358-368. https://doi.org/10.1016/j.jclepro.2018.08.037 accessed on 10 December 2022.
27. Liu, G. et al (2020). China’s policies of building green retrofit: A state-of-the-art overview. Building and Environment, Volume 169, February 2020, 106554. https://doi.org/10.1016/j.buildenv.2019.106554 accessed on 30 December 2022.
28. Liu, Z. and Ma, Z. (2015). Establishing formalized representation of standards for construction cost estimation by using ontology learning. Procedia Engineering, Volume 123 (2015) 291-299.
29. Luo, T., Xue, X., Wang, Y., Xue, W., and Tan, Y. (2020). A systematic overview of prefabricated construction policies in China. Journal of Cleaner Production, Volume 280, Part 1, January 2021, 124371 https://doi.org/10.1016/j.clepro.20124371 accessed 2 December 2022.
30. Ma, Z., Cai, S., Mao, N., Yang, Q., Feng, J. and Wang, P. (2018). Construction quality management based on collaborative system using BIM and indoor positioning. Automation in Construction, Volume 92, 2018, 35-45. https://doi.org/10.1016/j.autcon.2018.03.027 accessed on 18 December 2022.
31. Meoni, A., Vittori, F., Pisseli, C., D’Alessandro, A., Pisello, A.L., and Ubertini, F., (2022). Integration of structural performance and human-centric comfort monitoring in historical building information modelling. Automation in Construction, Volume 138, 2022, 104220. https://doi.org/10.1016/j.autcon.2022.104220 accessed 19 December 2022.
32. Nikologianni, A., Mayouf, M., and Gullino, S. (2022). Building Information Modelling (BIM) and the impact on landscape: A systematic review of evolvements, shortfalls and future opportunities. Cleaner Production Letters, Volume 3, 2022, 100016. https://doi.org/10.1016/j.clpl.2022.100016 accessed on 6 December 2022.
33. Olanrewaju, O.I., Enegbuma, W.I., Donn, M. and Chileshe, N. (2022). Building information modelling and green building certification systems: A systematic literature review and gap spotting. Sustainable Cities and Society, Volume 81, 2022, 103865. https://doi.org/10/1016/j.scs.2022.103865 accessed on 3 December 2022.
34. Olanrewaju, O.I., Kineber, A.F., Chileshe, N. and Edwards, D.J. (2022). Modelling the relationship between Building Information Modelling (BIM) implementation barriers, usage and awareness on building project lifecycle. Building and Environment, Volume 207, 2022, 108556. https://doi.org/10/1016/j.buildenv.2021.108556 accessed on 3 December 2022.
35. Petrie, R. (2022, December 11). What is OpenBIM. BuildingSmart International 2022.
    https://www.buildingsmart.org/about/openbim/openbim-definition/
36. Phang, T.C.H., Chen, C. and Tiong, R.L.K. (2020). New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers’ view. Journal of Construction Engineering and Management, Volume 146, Issue 4, April 2020.
37. Porter, M. (1979). How Competitive Forces Shape Strategy. Harvard Business Review.
38. Qi, Z., et al (2022). Policy optimization of hydrogen energy industry considering government policy preference in China. Institution of Chemical Engineers, Sustainable Production and Consumption Volume 33, September 2022, Pages 890-902. https://doi.org/10.1016/j.spc.2022.08.017 accessed 5 December 2022.
39. Sacks, R., Wang, Z., Ouyang, B., Utkucu, D. and Chen, S. (2022). Toward artificially intelligent cloud-based building information modelling for collaborative multidisciplinary design. Advanced Engineering Informatics, Volume 53, 2022, 101711. https://doi.org/10.1016/aei.2022.101711 accessed 7 December 2022.
40. Sampaio, Alcinia Zita (2021). Project Management in Office: BIM implementation. Procedia Computer Science, Volume 196, 2021, 840-847. https://doi.org/10.1016/j.procs.2021.12.083 accessed on 8 December 2022.
41. Shi, Y. and Xu, J. (2021). BIM-based information system for economo-enviro-friendly end-of-life disposal of construction and demolition waste. Automation in Construction, Volume 125, 2021, 103611. https://doi.org/10.1016/j.autcon.2021.103611 accessed on 25 December 2022.
42. Smith, L. W. (2000). Stakeholder analysis: a pivotal practice of successful projects. Paper presented at Project Management Institute Annual Seminars & Symposium, Houston, TX. Newtown Square, PA: Project Management Institute.
43. Su, S., Wang, Q., Han, L., Hong, J., and Liu, Z. (2020). BIM-DLCA: An integrated dynamic environmental impact assessment model for buildings. Building and Environment, Volume 183, 2020, 107218. https://doi.org/10.1016/j.buildenv.2020.107218 accessed on 5 December 2022.
44. Wang, H., Lin, J. and Zhang, J. (2019). Work package-based information modelling for resource-constrained scheduling of construction projects. Automation in Construction 109 (2020), 102958. https://org/10.1016/j.autcon.2019.102958 accessed 5 December 2022.
45. Wen, C. et al (2022). The effect of local government debt on green innovation: Evidence from Chinese listed companies. Pacific-Basin Finance Journal 73 (2022) 101760. https://doi.org/10.1016/j.pacfin.2022.101760 accessed 5 December 2022.
46. Xie, M., Qiu, Y., Liang, Y., Zhou, Y., Liu, Z. and Zhang, G. (2022). Policies, applications, barriers and future trends of building information modelling technology for building sustainability and informatization in China. Energy Reports, Volume 8, 2022, 7107-7126. https://doi.org/10.1016/j.egyr.2022.05.008 accessed on 8 December 2022.
47. Xu, H., Chang, R., Dong, N., Zuo, J. and Webber, R.J. (2022). Interaction mechanism of BIM application barriers in prefabricated construction and driving strategies from stakeholders’s perspectives. Ain Shams Engineering Journal, Volume 14, 2023, 101821. https://doi.org/10.1016/j.asej.2022.101821 accessed on 20 December 2022.
48. Xue, H. et al (2021). Effects of policy on developer’s implementation of off-site construction: The mediating role of the market environment. Energy Policy, Volume 155, August 2021, 112342. https://doi.org/10.1016/j.enpol.2021.112342 accessed on 10 December 2022.
49. Yang, J., and Chou, H. (2018). Mixed approach to government BIM implementation policy: An empirical study of Taiwan. Journal of Building Engineering, Volume 20, 2018, 337-343. https://doi.org/10.1016/j.jobe.2018.08.007 accessed on 3 December 2022.
50. Ye, K., Guo, Z., Zhang, W. and Liang, Y. (2022). Heterogeneous environmental policy tools for expressway construction projects: A crossregional analysis in China. Environmental Impact Assessment Review, Volume 97, November 2022, 106907. https://doi.org/10.1016/j.eiar.2022.106907 accessed on 10 December 2022.
51. Zaia, Y.Y., Adam, S.M., and Abdulrahman, F.H. (2022). Investigating BIM level in Iraqi construction industry. Ain Shams Engineering Journal, Volume 14, Issue 3, April 2023, 101881. https://doi.org/10.1016/j.asej.2022.101881 accessed 4 January 2023.
52. Zhang, F., Chan, A.P.C., Darko, A., Chen, Z. and Li, D. (2022). Integrated applications of building information modelling and artificial intelligence techniques in the AEC/FM industry. Automation in Construction, Volume 139, 2022, 104289. https://doi.org/10.1016/j.autcon.2022.104289 accessed on 10 December 2022.
53. Zhang, J., Long, Y., Lv, S. and Xiang, Y., (2016). BIM-enabled Modular and Industrialized Construction in China. Procedia Engineering, Volume 145, 2016, 1456-1461. https://doi.org/10.1016/j.proeng.2016.04.183 accessed on 2 December 2022.
54. Zhao, Y. and Taib, N. (2022). Cloud-based Building Information Modelling (Cloud-BIM): Systematic literature review and Bibliometric-qualitative Analysis. Automation in Construction, Volume 142, 2022, 104468. https://doi.org/10.1016/j.autcon.2022.104468 accessed on 8 December 2022.