Predicting Adoption Behaviour to Digital Government Transformation in Construction Sector

Main Article Content

Dewi Chomistriana
Agus Taufik Mulyono
Najid

Abstract

 The acceptance of new technologies by targeted users has a substantial impact on the success of digital government transformation (DGT). Based on the integration of the Unified Theory of Acceptance and Use of Technology (UTAUT) and the information system (IS) success model, which are extended with trust, resistance and technology readiness factors, this paper proposes a factor model that predicts adoption behaviour for integrated IS as a DGT initiative. The case study was based on the use of an integrated IS in business licensing and public procurement for the Indonesian construction sector. The 1,656 respondents in this study represented construction companies, experts, project managers and procurement committees with varying levels of digital literacy, computer proficiency, educational backgrounds and technology experience. The model was analysed using structural equation modelling-partial least square (SEM-PLS). The findings showed that trust, technology readiness, performance expectancy and effort expectancy are the four main factor that positively influence behaviour intention in the system. However, users who have access to adequate resources persist in their adoption. The findings provide a solid foundation for future research on DGT in the construction sector. 

Article Details

How to Cite
Dewi Chomistriana, Agus Taufik Mulyono, and Najid. 2024. “Predicting Adoption Behaviour to Digital Government Transformation in Construction Sector”. Journal of Construction in Developing Countries 29 (2): 181-205. https://doi.org/10.21315/.
Section
Articles

References

Abu-Shanab, E.A. (2017). E-government familiarity influence on Jordanians’

perceptions. Telematics and Informatics, 34(1): 103–113. https://doi.

org/10.1016/j.tele.2016.05.001

Adywiratama, A.D., Ko, C., Raharjo, T. and Wahbi, A. (2022). Critical success

factors for ICT project: A case study in project colocation government data

center. Procedia Computer Science, 197: 385–392. https://doi.org/10.1016/j.

procs.2021.12.154

Ahmad, M.O., Markkula, J. and Oivo, M. (2012). Factors influencing the adoption

of e-government services in Pakistan. Paper presented at the European,

Mediterranean and Middle Eastern Conference on Information Systems 2012.

Munich, Germany, 7–8 June.

Ahmad, N., Waqas, M. and Zhang, X. (2020). Public sector employee perspective

towards adoption of e-government in Pakistan: A proposed research agenda.

Data and Information Management, 5(1): 119–124. https://doi.org/10.2478/

dim-2020-0029

Al-Muftah, H., Weerakkody, V., Rana, N.P., Sivarajah, U. and Irani, Z. (2018). Factors

influencing e-diplomacy implementation: Exploring causal relationships using

interpretive structural modelling. Government Information Quarterly, 35(3):

–514. https://doi.org/10.1016/j.giq.2018.03.002

Al-Rahmi, W.M., Uddin, M., Alkhalaf, S., Al-Dhlan, K.A., Cifuentes-Faura, J., Al-Rahmi,

A.M. and Al-Adwan, A.S. (2022). Validation of an integrated IS success model

in the study of e-government. Mobile Information Systems, 1: 1–16. https://doi.

org/10.1155/2022/8909724

Alomari, M.K. (2014). Discovering citizens reaction toward e-government: Factors

in E-Government Adoption. Journal of Information Systems and Technology

Management, 11(1): 5–20.

APEC (Asia-Pacific Economic Cooperation) and Digital Economy Steering

Committee. (2022). Policy Recommendations: Digital Permitting and

E-Government Measures to Advance the Post-COVID-19 Economic

Recovery. Singapore: APEC Secretariat. Available at: https://www.apec.

org/publications/2022/04/policy-recommendations-digital-permitting-ande-government-measures-to-advance-the-post-covid-19-economic-recovery

Aranyossy, M. (2022). User adoption and value of e-government services (Citizencentric empirical study from Hungary). Acta Oeconomica, 72(4): 477–497.

https://doi.org/10.1556/032.2022.00032

Belanche, D., Casaló, L.V. and Flavián, C. (2012). Integrating trust and personal

values into the technology acceptance model: The case of e-government

services adoption. Cuadernos de Economía y Dirección de la Empresa, 15(4):

–204. https://doi.org/10.1016/j.cede.2012.04.004

Bühler, M.M., Nübel, K., Jelinek, T., Riechert, D., Bauer, T., Schmid, T. and Schneider,

M. (2023). Data cooperatives as a catalyst for collaboration, data sharing

and the digital transformation of the construction sector. Buildings, 13(2):1–22.

https://doi.org/10.3390/buildings13020442

Burmeister, F., Drews, P. and Schirmer, I. (2019). Leveraging architectural thinking

for large-scale e-government projects. Paper presented at the Fortieth

International Conference on Information Systems. Munich, Germany, 15–18

December.

Buyle, R., Compernolle, M.V., Vlassenroot, E., Vanlishout, Z., Mechant, P. and

Mannens, E. (2018). “Technology readiness and acceptance model” as a

predictor for the use intention of data standards in smart cities. Media and

Communication, 6(4): 127–139. https://doi.org/10.17645/mac.v6i4.1679

Chen, S.C., Liu, M.L. and Lin, C.P. (2013). Integrating technology readiness into

the expectation-confirmation model: An empirical study of mobile services.

Cyberpsychology, Behavior and Social Networking, 16(8): 604–612. https://

doi.org/10.1089/cyber.2012.0606

DeLone, W.H. and McLean, E.R. (2016). Information systems success measurement.

Foundations and Trends® in Information Systems, 2(1): 1–116. https://doi.

org/10.1561/2900000005

Dwivedi, Y.K., Rana, N.P., Janssen, M., Lal, B., Williams, M.D. and Clement, M. (2017).

An empirical validation of a unified model of electronic government adoption

(UMEGA). Government Information Quarterly, 34(2): 211–230. https://doi.

org/10.1016/j.giq.2017.03.001

Elnaghi, M., Alshawi, S.N., Kamal, M.M., Weerakkody, V. and Irani, Z. (2019). Exploring

the role of a government authority in managing transformation in service

re-engineering: Experiences from Dubai police. Government Information

Quarterly, 36(2): 196–207. https://doi.org/10.1016/j.giq.2018.11.011

Gil-Garcia, J.R. and Flores-Zúñiga, M.A. (2020). Towards a comprehensive

understanding of digital government success: Integrating implementation

and adoption factors. Government Information Quarterly, 37(4): 1–15. https://

doi.org/10.1016/j.giq.2020.101518

Hornstein, H.A. (2015). The integration of project management and organisational

change management is now a necessity. International Journal of Project

Management, 33(2): 291–298. https://doi.org/10.1016/j.ijproman.2014.08.005

Huang, Y., Shi, Q., Zuo, J., Pena-Mora, F. and Chen, J. (2021). Research status

and challenges of data-driven construction project management in

the big data context. Advances in Civil Engineering, 1: 1–19. https://doi.

org/10.1155/2021/6674980

Ibem, E.O. and Laryea, S. (2014). Survey of digital technologies in procurement

of construction projects. Automation in Construction, 46: 11–21. https://doi.

org/10.1016/j.autcon.2014.07.003

Kuldosheva, G. (2021). Challenges and Opportunities of Digital Transformation in the

Public_Sector in Transition Economies: Examination of the Case of Uzbekistan.

ADBI working_paper 1248. Tokyo: Asian Development Bank Institute. Available

at: https://www.adb.org/publications/challenges-opportunities-digitaltransformation-uzbekistan

Kurfalı, M., Arifoğlu, A., Tokdemir, G. and Paçin, Y. (2017). Adoption of e-government

services in Turkey. Computers in Human Behavior, 66: 168–178. https://doi.

org/10.1016/j.chb.2016.09.041

Lallmahomed, M.Z.I., Lallmahomed, N. and Lallmahomed, G.M. (2017). Factors

influencing the adoption of e-government services in Mauritius. Telematics

and Informatics, 34(4): 57–72. https://doi.org/10.1016/j.tele.2017.01.003

Lembaga Pengembangan Jasa Konstruksi (2023). Sistem Informasi Konstruksi

Indonesia. Jakarta: Kementerian Pekerjaan Umum dan Perumahan Rakyat.

Available at: https://siki.pu.go.id

Lim, E.T.K., Tan, C.W., Cyr, D., Pan, S.L. and Xiao, B. (2012). Advancing public

trust relationships in electronic government: The Singapore e-filing journey.

Information Systems Research, 23(4): 1110–1130. https://doi.org/10.1287/

isre.1110.0386

Lin, C.H., Shih, H.Y. and Sher, P.J. (2007). Integrating technology readiness into

technology acceptance: The TRAM model. Psychology and Marketing, 24(7):

–657. https://doi.org/10.1002/mar.20177

Malodia, S., Dhir, A., Mishra, M. and Bhatti, Z.A. (2021). Future of e-government: An

integrated conceptual framework. Technological Forecasting and Social

Change, 173: 1–17. https://doi.org/10.1016/j.techfore.2021.121102

Mensah, I.K., Zeng, G. and Luo, C. (2020). E-government services adoption: An

extension of the unified model of electronic government adoption. SAGE

Open, 10(2): 1–17. https://doi.org/10.1177/2158244020933593

Mensah, I.K., Zeng, G. and Mwakapesa, D.S. (2022). Understanding the drivers of the

public value of e-government: Validation of a public value e-government

adoption model. Frontiers in Psychology, 13: 962615. https://doi.org/10.3389/

fpsyg.2022.962615

Nezami, M.R., Bruijne, M.L.C.D., Hertogh, M.J.C.M. and Bakker, H.L.M. (2022).

Collaboration and data sharing in inter-organisational infrastructure

construction projects. Sustainability, 14(24): 1–19. https://doi.org/10.3390/

su142416835

Nnaji, C., Okpala, I., Awolusi, I. and Gambatese, J. (2023). A systematic review

of technology acceptance models and theories in construction research.

Journal of Information Technology in Construction, 28: 39–69. https://doi.

org/10.36680/j.itcon.2023.003

Nookhao, S. and Kiattisin, S. (2023). Achieving a successful e-government:

Determinants of behavioral intention from Thai citizens’ perspective. Heliyon,

(8): 1–21. https://doi.org/10.1016/j.heliyon.2023.e18944

Nugroho, M.A. and Fajar, M.A. (2017). Effects of technology readiness towards

acceptance of mandatory web-based attendance system. Procedia

Computer Science, 124: 319–328. https://doi.org/10.1016/j.procs.2017.12.161

Nyansiro, J.B., Mtebe, J.S. and Kissaka, M.M. (2021). E-Government information

systems (IS) project failure in developing countries: Lessons from the literature.

The African Journal of Information and Communication, 28: 1–29. https://doi.

org/10.23962/10539/32210

Nzaramyimana, L. and Susanto, T.D. (2019). Analysis of factors affecting behavioural

intention to use e-government services in Rwanda. Procedia Computer

Science, 161: 350–358. https://doi.org/10.1016/j.procs.2019.11.133

Parasuraman, A. (2000). Technology readiness index (TRI): A multiple-item scale

to measure readiness to embrace new technologies. Journal of Service

Research, 2(4): 307–320. https://doi.org/10.1177/109467050024001

Quaosar, G.M.A.A., Hoque, M.R. and Bao, Y. (2018). Investigating factors affecting

elderly’s intention to use m-health services: An empirical study. Telemedicine

and E-Health, 24(4): 309–314. https://doi.org/10.1089/tmj.2017.0111

Qutaishat, F.T. (2012). Users’ perceptions towards website quality and its effect

on intention to use e-government services in Jordan. International Business

Research, 6(1): 97–105. https://doi.org/10.5539/ibr.v6n1p97

Rabaa’i, A.A., Zogheib, B., Alshatti, A. and Jamal, E.A. (2016). Adoption of

e-government in developing countries: The case of the state of Kuwait.

Journal of Emerging Trends in Computing and Information Sciences, 7(2):

–101.

Rana, N.P., Dwivedi, Y.K. and Williams, M.D. (2015). A meta-analysis of existing

research on citizen adoption of e-government. Information Systems Frontiers,

(3): 547–563. https://doi.org/10.1007/s10796-013-9431-z

Rana, N.P., Dwivedi, Y.K., Lal, B., Williams, M.D. and Clement, M. (2017). Citizens’

adoption of an electronic government system: Towards a unified view.

Information Systems Frontiers, 19(3): 549–568. https://doi.org/10.1007/s10796-

-9613-y

Rosacker, K.M. and Olson, D. (2008). Public sector information system critical success

factors. Transforming Government: People, Process and Policy, 2(1): 60–70.

https://doi.org/10.1108/17506160810862955

Samuel, M., Doctor, G., Christian, P. and Baradi, M. (2020). Drivers and barriers to

e-government adoption in Indian cities. Journal of Urban Management, 9(4):

–417. https://doi.org/10.1016/j.jum.2020.05.002

Sarantis, D., Smithson, S., Charalabidis, Y. and Askounis, D. (2009). A critical assessment

of project management methods with respect to electronic government

implementation challenges. Systemic Practice and Action Research, 23: 301–

https://doi.org/10.1007/s11213-009-9161-9

Sawalha, S., Jamal, M.A. and Shanab, E.A. (2019). The influence of utilising Facebook

on e-government adoption. Electronic Government, an International Journal,

(1): 1–20. https://doi.org/10.1504/EG.2019.096573

Scott, M., DeLone, W.H. and Golden, W. (2016). Measuring eGovernment success:

A public value approach. European Journal of Information Systems, 25(3):

–208. https://doi.org/10.1057/ejis.2015.11

Shareef, M.A., Kumar, V., Kumar, U. and Dwivedi, Y.K. (2011). E-government adoption

model (GAM): Differing service maturity levels. Government Information

Quarterly, 28(1): 17–35. https://doi.org/10.1016/j.giq.2010.05.006

Susha, I., Rukanova, B., Zuiderwijk, A., Gil-Garcia, J.R. and Hernandez, M.G.

(2023). Achieving voluntary data sharing in cross sector partnerships: Three

partnership models. Information and Organization, 33(1): 1–14. https://doi.

org/10.1016/j.infoandorg.2023.100448

Takagi, N. and Varajão, J. (2019). Integration of success management into project

management guides and methodologies: Position paper. Procedia Computer

Science, 164: 366–372. https://doi.org/10.1016/j.procs.2019.12.195

Tangi, L., Janssen, M., Benedetti, M. and Noci, G. (2021). Digital government

transformation: A structural equation modelling analysis of driving and

impeding factors. International Journal of Information Management, 60:1–10.

https://doi.org/10.1016/j.ijinfomgt.2021.102356

Twizeyimana, J.D. and Andersson, A. (2019). The public value of e-government:

A literature review. Government Information Quarterly, 36(2): 167–178. https://

doi.org/10.1016/j.giq.2019.01.001

United Nations Department of Economic and Social Affairs (2022). E-Government

Survey 2022: The Future of Digital Government. New York: United Nations.

Available at: https://publicadministration.un.org/egovkb/en-us/Reports/UNE-Government-Survey-2022

Veeramootoo, N., Nunkoo, R. and Dwivedi, Y.K. (2018). What determines success

of an e-government service? Validation of an integrative model of e-filing

continuance usage. Government Information Quarterly, 35(2): 161–174.

https://doi.org/10.1016/j.giq.2018.03.004

Venkatesh, V., Chan, F.K.Y. and Thong, J.Y.L. (2012). Designing e-government

services: Key service attributes and citizens’ preference structures. Journal

of Operations Management, 30(1–2): 116–133. https://doi.org/10.1016/j.

jom.2011.10.001

Venkatesh, V., Thong, J.Y.L. and Xu, X. (2016). Unified theory of acceptance and use

of technology: A synthesis and the road ahead. Journal of the Association for

Information Systems, 17(5): 328–376. https://doi.org/10.17705/1jais.00428

Venkatesh, V., Thong, J.Y.L. and Xu, X. (2012). Consumer acceptance and use of information technology: Extending

the unified theory of acceptance and use of technology. MIS Quarterly, 36(1):

–178. https://doi.org/10.2307/41410412

Verkijika, S.F. and Wet, L.D. (2018). E-government adoption in sub-saharan Africa.

Electronic Commerce Research and Applications, 30: 83–93. https://doi.

org/10.1016/j.elerap.2018.05.012

Wang, G., Wang, P., Cao, D. and Luo, X. (2020). Predicting behavioural resistance to

BIM implementation in construction projects: An empirical study integrating

technology acceptance model and equity theory. Journal of Civil Engineering

and Management, 26(7): 651–665. https://doi.org/10.3846/jcem.2020.12325

Witarsyah, D., Sjafrizal, T., Fudzee, M.F.M.D. and Salamat, M.A. (2017). The critical

factors affecting e-government adoption in Indonesia: A conceptual

framework. International Journal on Advanced Science, Engineering and

Information Technology, 7(1): 160–167. https://doi.org/10.18517/ijaseit.7.1.1614