%0 Conference Proceedings
%T Adoption of Transactional Service in Electronic Government – A Case of Pak-Identity Service
%+ Universiti Teknologi Malaysia (UTM)
%+ Virtual University of Pakistan
%+ Azman Hashim International Business School
%+ Ajman University
%+ SIMAD University
%+ Dongbei University of Finance and Economics, Dalian (DUFES)
%A Khurshid, Muhammad, Mahboob
%A Zakaria, Nor, Hidayati
%A Rashid, Ammar
%A Ahmed, Yunis, Ali
%A Shafique, Muhammad, Noman
%Z Part 7: Digital Governance
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 18th Conference on e-Business, e-Services and e-Society (I3E)
%C Trondheim, Norway
%Y Ilias O. Pappas
%Y Patrick Mikalef
%Y Yogesh K. Dwivedi
%Y Letizia Jaccheri
%Y John Krogstie
%Y Matti Mäntymäki
%I Springer International Publishing
%3 Digital Transformation for a Sustainable Society in the 21st Century
%V LNCS-11701
%P 439-450
%8 2019-09-18
%D 2019
%R 10.1007/978-3-030-29374-1_36
%K Electronic Government (E-Government)
%K Transactional service
%K UMEGA
%K Behavioural intention
%K Adoption
%K Factors
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Governments around the world are using information and communication technologies to offer both simple information portals and transactional services. A less than one-third of the electronic government (e-government) initiatives focused on the provision of transactional services and understanding on studies related to the adoption of such services using domain-specific adoption theories/models are scarce. Therefore, the objective of this study is to understand the adoption of transactional service system, i.e. ‘Pak-Identity’ by employing a domain-specific model, i.e. Unified Model of Electronic Government Adoption (UMEGA). A UMEGA model with four new constructs is validated using data gathered from 441 citizens from all over Pakistan. A survey was conducted among citizens using simple random sampling technique. The collected data were analyzed employing variance-based structure equation modelling, i.e. partial least squares technique in SmartPLS 3.0 to test the formulated hypotheses. Findings indicate that (1) facilitating conditions is the predictor of effort expectancy, (2) performance expectancy, trust, and herd behaviour are the predictors of attitude, (3) price value, grievance redressal, and attitude are the predictors of behavioural intention to use e-government service. Surprisingly, effort expectancy, facilitating conditions, social influence, and perceived risk are found to be the nonsignificant predictors of adoption of e-government service. Interestingly, new constructs and new relationships are exposed, i.e. trust and herd behaviour on attitude, and price value and grievance redressal on behavioural intention. Moreover, a 55% variance in effort expectancy, 65% variance in attitude, and 40% variance in behavioural intention to adopt e-government has been found. Implications for the academics and managers are also outlined.
%G English
%Z TC 6
%Z WG 6.11
%2 https://inria.hal.science/hal-02510160/document
%2 https://inria.hal.science/hal-02510160/file/I3E2019_paper_87.pdf
%L hal-02510160
%U https://inria.hal.science/hal-02510160
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-11
%~ IFIP-I3E
%~ IFIP-LNCS-11701