Innovative Citizen’s Services through Public Cloud in Pakistan: User’s Privacy Concerns and Impacts on Adoption

Ali, Umar Tijjani; Mehmood, Amjad; Majeed, Muhammad Faran; Muhammad, Siraj; Khan, Muhammad Kamal; Song, Houbing; Malik, Khalid Mahmood

doi:10.1007/s11036-018-1132-x

Cited by 19 publications

(31 citation statements)

References 45 publications

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“…Similar findings were observed in China for the acceptance of driverless buses [30]. In the Pakistani context, a study has confirmed the positive effects of FC on behavioral intentions to adopt public cloud technology [51]. As the EV infrastructure, including charging stations and EV repair shops, is not widely available in Pakistan [21], it will be interesting to explore the FC effects on individuals' intentions to adopt EVs in the future.…”

Section: Facilitating Conditions (Fc)supporting

confidence: 57%

“…An Australian study also confirmed that the early E-bike adoption was significantly influenced by perceived performance expectancy and supportive social environment and personal ecological norms [7]. In Pakistan, EE was found to positively influence the acceptance of public cloud technology [51]. Thus, we proposed the following hypothesis.…”

Section: Performance Expectancy (Pe)mentioning

confidence: 62%

“…In the context of EVs, PE refers to the degree to which EVs will provide benefits to users in performing particular daily activities [49]. Previous studies have found that PE significantly affects the behavioral intentions to adopt new technology [7,28,30,50,51]. For example, Zhou et al [50] found that PE positively affects the behavioral intentions to adopt electric trucks in China.…”

Section: Performance Expectancy (Pe)mentioning

confidence: 99%

“…In general, most of the previous studies [29,30,49,52] have confirmed the relevance of EE in predicting individuals' behavioral intentions. For example, Ali et al [51] confirmed EE's positive influence on users' adoption of public cloud technology in Pakistan. Similarly, positive effects of EE on the acceptance of automated road transport systems were observed in a study conducted on European cities [29].…”

Section: Effort Expectancy (Ee)mentioning

confidence: 99%

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Public Intentions to Purchase Electric Vehicles in Pakistan

et al. 2021

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Electric vehicles (EVs) have the potential to lead the transition in road transportation from traditional petroleum mobility to electric mobility. Despite many environmental benefits, the market penetration rate of EVs is still low in most developing countries. Recently, Pakistan formulated its first EV policy for 2020–2025 to accelerate EV adoption. This study aims to explore the factors, including environmental concerns, perceived ease of use, effort expectancy, social influence, and perceived facilitating conditions, affecting individuals’ behavioral intentions to purchase EVs in Pakistan. The hypotheses were developed based on the literature, and an online questionnaire survey was conducted in Lahore, Pakistan, to collect the relevant data. The partial least square path modeling approach of structural equation modeling was used to test the hypothesis. The results confirmed that the environmental concerns, perceived ease of use, and effort expectancy positively affect the public’s intentions to use EVs in the future. However, social influence and facilitating conditions did not significantly contribute to EV adoption in the present study. The findings suggest that the EV manufacturers aiming to accelerate EV adoption should develop marketing strategies to disseminate information regarding the environmental benefits of EVs and enhance clarity about EVs’ performance and usage.

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Section: Facilitating Conditions (Fc)supporting

confidence: 57%

Section: Performance Expectancy (Pe)mentioning

confidence: 62%

Section: Performance Expectancy (Pe)mentioning

confidence: 99%

Section: Effort Expectancy (Ee)mentioning

confidence: 99%

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Public Intentions to Purchase Electric Vehicles in Pakistan

et al. 2021

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“…Government needs to assess the user's behavior intention and use behavior before choosing public cloud as platform for their innovative citizen's services also known as government to citizen's services (G2C). As citizen's information is stored on public cloud, which is provided by a third party, user's concerns about privacy of information may affect the adoption of these services [5].…”

Section: Editorialmentioning

confidence: 99%

Introduction of Key Problems in Long-Distance Learning and Training

et al. 2018

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Adoption of Transactional Service in Electronic Government – A Case of Pak-Identity Service

Khurshid

Zakaria

Rashid

et al. 2019

Lecture Notes in Computer Science

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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 egovernment has been found. Implications for the academics and managers are also outlined.

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Innovative Citizen’s Services through Public Cloud in Pakistan: User’s Privacy Concerns and Impacts on Adoption

Cited by 19 publications

References 45 publications

Public Intentions to Purchase Electric Vehicles in Pakistan

Public Intentions to Purchase Electric Vehicles in Pakistan

Introduction of Key Problems in Long-Distance Learning and Training

Adoption of Transactional Service in Electronic Government – A Case of Pak-Identity Service

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