Analysis Of Dominant Factors Affecting Construction Service Providers On Tender Electronically In Malang Raya 2021

  • Nabila Ayu Sabrina Student Faculty of Engineering Universitas Brawijaya, Indonesia.
  • Indradi Wijatmiko Department of Civil Engineering, Faculty of Engineering Universitas Brawijaya, East Java, Indonesia.
  • Wisnumurti Wisnumurti Department of Civil Engineering, Faculty of Engineering Universitas Brawijaya, East Java, Indonesia.
Keywords: Tender, Contractor, Structural Equation Modeling (SEM) and SmartPLS (Partial Least Square).

Abstract

Provider process service construction participates in tenders electronics in Malang Raya; provider service construction will upload an offer or no for a project and make an offer that requires commitment source power. The influencing factors include the characteristics project, the ability company, the challenge operational project, the Economy, the environment, the market, and the government. The study aims to know the dominant factor influencing _ provider service construction bids on delicate electronics located in Malang Raya in 2021. Five hundred and fifty-nine respondents are provider service construction ever _ upload requirements nor only view tenders _ electronics at LPSE Malang Raya. Method research used _ is interviews and questionnaires — data analysis using Structure Equation Modeling (SEM) with SmartPLS (Partial Least Square) software.

Modeling results bid Y = 0.123 X1 + 0.325 X2 + 0.196 X3 + 0.406 X4 Effect dominant leading provider service construction bid on Tender directly electronics at LPSE Malang Raya is a category of Economy, Environment, Market, and Government (X4) with Variable Replacement Value loss (X4.4). Influence dominant second that is category Enterprise Capability (X2) with variable Profitability (X2.3). Influence chief third category Challenge Operational Project (X3) with variable Availability another project (X3.4). And Influence dominant final category Characteristics Project (X1) with variable Tender Method (One File) (X1.8) Keywords: Tender, Construction Service Provider, Structural Equation Modeling (SEM), SmartPLS (Partial Least Square).

Downloads

Download data is not yet available.

References

Sancoko , Bambang and Rachman , Bary . 2020. Analysis Factors Influencing Provider Decisions for Enter Bidding on Job Tenders Construction at the Ministry of Finance . Journal Performance Discourse . 23 (1). DOI : 10.31845/wk.v23i1.194

Alsaedi, M, et al 2019. Factors Affecting Contractors’ Bidding Decisions for Construction Projects in Saudi Arabia. MDPI. doi:10.3390/buildings9020033w

Perera ,et al 2019. Significant factors influencing the bid mark-up decision of infrastructure

projects in Sri Lanka. International Journal of Construction Management. https://doi.org/10.1080/15623599.2019.1583849

Emad, et al 2021. Mixed qualitative–quantitative approach for bidding decisions in construction. https://www.emerald.com/insight/0969-9988.htm

Perpres Number 12 of 2021, Article 1 point 1,

Dulaimi, M. F, Guo H. S, 2002. The factors influencing bid mark-up decisions of large- and medium-size contractors in Singapore. Construction Management and Economics. 20. 601-610. DOI: 10.1080/01446190210159890

Y.Fan dkk., Aplikasi pemodelan persamaan struktural (SEM) dalam studi ekologi: tinjauan yang diperbarui, Ecol. Proses. , jilid. 5, tidak. 1, 2016, DOI: 10.1186/s13717-016-0063-3.

Shash, A. (1993). Factors considered in tendering decisions by top UK contractors. Construction Management and Economics, 11, 111–118. https://doi.org/10.1080/01446199300000004

Chua, DKH, & Li, D. (2000). Key Factors in Bid Reasoning Model. Journal of Construction Engineering and Management- ASCE - J CONSTR ENG MANAGE-ASCE, 126. https://doi.org/https://doi.org/10.1061/(ASCE)0733-9364(2000)126:5(349 )

Oyeyipo , O., Odusami , K., Ojelabi , R., & Adedeji, A. (2016). Factors Affecting Contractors' Bidding Decisions for Construction Projects in Nigeria. Journal of Construction in Developing Countries, 21, 21–35. https://doi.org/10.21315/jcdc2016.21.2.2

Shokri, M. G et al 2015. An investigation into challenges facing distributed teams: Case of South Australian construction projects. PM World Journal. Vol. IV, Issue IX – September 2015. https://www.researchgate.net/publication/289602272

Alfred et al, 2016. Bid or no-bid decision factors of indigenous contractors in Nigeria. Engineering, Construction and Architectural Management Vol. 24 No. 3, 2017. DOI 10.1108/ECAM-01-2016-0029

Respawan, IK M, et al . 2017. Analysis Influencing Factors _ Participation And Offer Value Participant of Electronic Tender (E-Procurement) Construction Services in Regency Buleleng. Journal Spectra . 5 (1). 1-87.

Marzouk, et al 2017. Modeling bid/no bid decisions using fuzzy fault tree. Construction Innovation Emerald Insight https://doi.org/10.1108/CI-11-2016-0060

Putu et al, 2019. Faktor Kesuksesan yang Mempengaruhi Partisipasi dan Nilai Penawaran Peserta Lelang Elektronik (E-Procurement) Jasa Konstruksi di Kabupaten Klungkung. Jurnal Spektran Vol. 7, No. 1, Januari 2019, Hal. 58 – 64

Son Tung HA, Manh Linh TRAN, Huy Viet HOANG, Van Hung TRAN / Journal of Asian Finance, Economics and Business. Vol 7 No 6 (2020). 417 – 425. doi:10.13106/jafeb.2020.vol7.no6.417.

Published
2023-01-10
How to Cite
Ayu Sabrina, N., Wijatmiko, I., & Wisnumurti, W. (2023). Analysis Of Dominant Factors Affecting Construction Service Providers On Tender Electronically In Malang Raya 2021. International Journal of Science, Technology & Management, 4(1), 182-190. https://doi.org/10.46729/ijstm.v4i1.703