An empirical investigation of mobile government adoption in rural China: A case study in Zhejiang province

Yong, Liu; Li, Hongxiu; Kostakos, Vassilis; Gonçalves, Jorge M. S.; Hosio, Simo; Hu, Feng

doi:10.1016/j.giq.2014.02.008

Cited by 163 publications

(145 citation statements)

References 35 publications

Supporting

Mentioning

133

Contrasting

Order By: Relevance

“…Perceived usefulness measures the performance of specific technology in prompting people to act, whereas perceived ease of use indicates the degree of difficulty in using specific technology. Scholars have subsequently verified the effectiveness of this model [56], and the influence of perceived usefulness and perceived ease of use on the adoption of mobile health care have been demonstrated in numerous studies [38,57]. Therefore, the technological dimension of this study involves usefulness and ease of use.…”

Section: Analysis Of the Characteristics And Adoption Of Mobile Healtmentioning

confidence: 77%

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Liu¹,

Yang²,

Liu³

et al. 2017

Preprint

View full text Add to dashboard Cite

IntroductionMobile health care is an important aspect of electronic medicine that involves using mobile devices (e.g., mobile phones, tablet computers, and personal digital assistants) to provide medical services and health information to patients [1]. Health care faces numerous problems, including high medical costs, restricted coverage, complex medical procedures, and uneven distribution of resources [2]. Mobile health care can help to reduce medical costs and waiting times and improve the efficiency of medical resources use [3]. Mobile health care involves the following categories [4]: (1) Mobile phone applications such as Chun Yu Yi Sheng, which acts as an information exchange platform linking doctors and patients, and comprehensive mobile health care platforms that hospital service providers can apply for appointment registrations, payments, and medical alerts. (2) The collection of users' medical data through wearable devices or mobile intelligent terminals for health monitoring. For example, Kangkang launched a portable intelligent sphygmomanometer that can dynamically monitor blood pressure over a 24-hour period and automatically send data to a corresponding server. Users can view their 24-hour blood pressure analysis report through WeChat. (3) Diagnosis systems that connect with the Internet of Things (IoT). For example, an integrated diagnosis system developed by German researchers can transmit medical data to smart phones through Bluetooth technology. Smartphones applications can then process these data for reference and diagnosis.With the development of mobile networks, many countries have entered the 4G era and benefit from continuously improving mobile communication networks and innovation in software and hardware technology. Abstract: Identifying the key influence factors of mobile health care adoption is a key issue. We established an evaluation index system for consumer adoption and verified the effectiveness of our model by using a DDANPMV model. This model comprises three parts: (1) the decision making trial and evaluation laboratory (DEMATEL) technique, which is used to establish an influence network relationship map at both the "dimensions" and "criteria" levels; (2) a DEMATEL-based analytic network process (ANP; DANP), which determines the interrelationships and influential weights among the criteria; and (3) a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which applies the influence weights obtained through DANP to performance gaps regarding consumer perception. VIKOR thereby evaluates and improves performance gaps with the aims of satisfying consumer needs, achieving continuous improvement, and enabling sustainable product development. The main innovation of this method is the construction of the DDANPMV model, which integrates the DEMATEL, DANP, and modified VIKOR approaches to examine consumers' adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option b...

show abstract

Section: Analysis Of the Characteristics And Adoption Of Mobile Healtmentioning

confidence: 77%

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Liu¹,

Yang²,

Liu³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…This supports Barua (2012) research, which says users are likely to comply with applicable regulations. Liu et al (2014) also revealed that a significant social influence on the continuation of the intention of using mobile services.…”

Section: Discussionmentioning

confidence: 92%

Factors influencing the adoption of e-tilang: Empirical evidence from the UTAUT model

Yumami¹,

Djoko²,

Suyoto³

2018

J Process Man, New Technol

View full text Add to dashboard Cite

Mid-year 2017 The National Police of the Republic of Indonesia publishes e-tilang technology innovation. Traffic police use e-tilang in handling vehicles that violate traffic on the highway. This is to improve service to the public. This research factor influences acceptance and use of e-tilang by using UTAUT model. This research was conducted in Bengkulu area with 152 traffic policemen. The findings of this study indicate that effort expectancy, performance expectancy, and social influences positively affect the use of e-tilang. Furthermore, no positive effect on the intention of using e-tilang is the Facilitation Conditions. The results of this study are important steps to improve e-tilang services.

show abstract

“…These factors were summarized as follows: the need for a government strategy to adopt these services, ensure access to those services, increase awareness of the benefits of those services and finally ensure the quality of m-government services. [26] concluded that the adoption of m-government services in China's rural areas, depends directly and indirectly on the following factors: perception of ease of use, perceived benefits in the short and long term, integrity, benevolence, image and social influence, all of these have a significant and positive impact on the intention to use m-government services. Specifically, the perception of ease of use, long-term benefits and social influence, all of which have a direct impact on the intention to use, while the perception of short-term benefits, integrity, benevolence and the image, all of these have an indirect impact.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In Jordan, despite the fact that the high rate of Internet penetration compared to some neighboring countries, the rate of adoption of m-government services is still low, see Table 1 for some common m-government services provided in Jordan [35]. However, the reason behind this, a number of relevant factors such as privacy and security, quality of services, m-government features, trust, public awareness, infrastructural constraints, cost, legal and marketing concerns [3,7,8,16,21,22,23,24,25,26,27,28]. Thus, assessing the factors that are likely to influence the adoption of m-government services in Jordan is important since the result will be of benefit to government institutions there and in countries with similar circumstances to understand the needs and requirements of citizens, increase participation and develop strategies accordingly, leading to an increase in the adoption of m-government services [25,29].…”

Section: Introductionmentioning

confidence: 99%

A Replicated Assessment of the Critical Success Factors for the Adoption of Mobile Government Services : The Case of Jordan

Elsheikh¹,

Hijjawi²

2016

IJCSIT

View full text Add to dashboard Cite

Previous research indicates that there is a failure in the adoption of e-government services to citizens as to overcome most of these obstacles through the so-called mobile government (or m-government). This has provided an alternative channel for governments to improve the interaction with their citizens, as well as the quality of services provided to them. Accordingly, the exploration of the factors that affect the adoption of m-government services would reduce the gap between government strategies and policies relating to the development of m-government services on the one hand, and the perceptions of citizens on the other hand, allowing for a better understanding of citizens' needs and priorities that must be taken into account by the governments in order to

show abstract

An empirical investigation of mobile government adoption in rural China: A case study in Zhejiang province

Cited by 163 publications

References 35 publications

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Factors influencing the adoption of e-tilang: Empirical evidence from the UTAUT model

A Replicated Assessment of the Critical Success Factors for the Adoption of Mobile Government Services : The Case of Jordan

Contact Info

Product

Resources

About