Drivers of egovernment adoption amidst COVID-19 pandemic: The Information Adoption Model (IAM) approach

Mensah, Isaac Kofi; Adams, Samuel; Adjei, Joseph Kwame; Mwakapesa, Deborah Simon

doi:10.1177/02666669211010872

Cited by 25 publications

(22 citation statements)

References 64 publications

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“…Evan and Erkan (2016) and Sussman and Siegal (2003) found information quality as the main predictor of information usefulness. Users believe that high-quality information produces useful information (Jiang et al, 2021;Mensah et al, 2021). Leong et al (2022) mentioned that the quality of the information can be assessed through accuracy, completeness, and timeliness.…”

Section: Information Quality (Iq) and Information Usefulness (Iu)mentioning

confidence: 99%

Factors Influencing the Information Adoption from Social Media review Platform: Extending Information Adoption Model (IAM) with Information Diagnosticity

Islam¹,

Hussin²,

Yee³

2022

JCCC

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Online reviews sufficiently influence the behavioural intention of the individual. The evolution of social media has added a new dimension to online reviews. The user can discuss the products and services or any brands with their networks through social media. The current study aims to identify the influence of information quality and information source credibility on information adoption from social media review platforms with the mediating role of information diagnosticity and information usefulness. The current study is a quantitative correlational study. Data were collected by conducting a survey on 225 Bangladeshi social media users, and all the data were analysed by SPSS and Smart-PLS software. The outcomes of the present study revealed that the association between information quality and source credibility with information adoption is mediated by information diagnosticity and information usefulness. The user would likely adopt the information if they can evaluate the information quality and information source credibility and perceive that information as useful and having the diagnostic ability. The current study contributes both theoretically and practically. From the theoretical perspective, this study contributes to a conceptual research framework that was developed by extending Information Adoption Model (IAM) by adding information diagnosticity. Practically, the findings contribute to both marketers and consumers by providing a clear understanding of the social media review and information. Finally, several limitations and future research directions were indicated at the end of the study.

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Section: Information Quality (Iq) and Information Usefulness (Iu)mentioning

confidence: 99%

Factors Influencing the Information Adoption from Social Media review Platform: Extending Information Adoption Model (IAM) with Information Diagnosticity

Islam¹,

Hussin²,

Yee³

2022

JCCC

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“…Research suggests that the use of social media (e.g., Tiktok) can encourage the uptake of public health information and promote physical and mental health (Basch et al, 2020). Elsewhere, Mensah et al (2021) found that information quality has a positive effect on the perceived usefulness of COVID-19 informational e-government services. Many governments actively disseminate information relevant to the pandemic through various social media platforms (e.g., micro-blogs, WeChat, Tiktok, and Twitter), as well as refuting false rumors and misinformation.…”

Section: Pandemic Prevention Knowledge As the Mediator In The Informa...mentioning

confidence: 99%

The Impact of Government Social Media Information Quality on Public Panic During the Infodemic

Zhai

Chi

2022

Front. Psychol.

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The COVID-19 pandemic triggered the first global “Infodemic” in the era of social media. Understanding how governments deal with the negative impacts of the infodemic (e.g., public panic) has become a priority. This paper uses the theoretical framework of the Elaboration Likelihood Model (ELM) to explore mechanisms for alleviating panic associated with the infodemic. It considers, in particular, the quality of information circulated on Government Social Media (GSM) as the central route and local government trust as the peripheral route. An empirical study was conducted using data from a focus group interview and a questionnaire survey collected within the first three weeks following the citywide lockdown of Wuhan, China. The results show that as: (1) Quality of GSM information does not significantly reduce public panic, but local government trust significantly increases people’s pandemic prevention knowledge; (2) Pandemic prevention knowledge is a critical mediator between information quality of GSM and public panic, as well as local government trust and public panic; and (3) Information quality of GSM significantly increases people’s trust in local governments. This paper contributes to the literature on infodemic and government social media and provides implications for practice.

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“…A study in China found that ease of access to information services and the reliability of COVID-19 data are critical to citizens. When satisfied with these parameters, citizens consider the services useful and are ready to recommend them to their friends [16].…”

Section: Literature Reviewmentioning

confidence: 99%

E-Government Services Introduction Effects in the Covid-19 Pandemic: 2020–2021 Surveys Results

Белый

Chugunov

2021

Proceedings of 23rd Scientific Conference “Scientific Services &Amp; Internet – 2021”

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The paper analyzes the development features of e-government services, based on the residents’ surveys results. Theу were conducted in St. Petersburg in 2020 and 2021. The first survey was conducted prior to the introduction of face-to-face restrictions in March 2020. The survey was aimed at getting citizens' opinions on the relevance, trust and attitude towards the «smart city» services. This survey was conducted on a representative sample in multifunctional city centers. Based on survey results, it was decided to conduct an online survey in the summer of 2021 to analyze the services, the levels of their effectiveness as perceived by citizens. This survey was conducted on a representative sample of the population using the Anketolog.ru system. The article presents the results of a surveys comparison. As a study result, the most popular electronic services were identified, as well as stable factors influencing the success of their implementation. It was found that the pandemic has only increased the demand for electronic services in three areas: health, security and transportation. The development dynamic of services was determined, their advantages and disadvantages were named. It is assumed that the economic and temporary benefits from the use of services by citizens will increase. The article also contains guaranteed achievements in the services implementation. The key obstacles are a high level of trust in the authorities, as well as ensuring the safety. It is assumed that the electronic services use level will continue to increase after the coronavirus pandemic. It is concluded that electronic services make it possible to optimize the public administration structure and accelerate the civil society development in Russia.

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Drivers of egovernment adoption amidst COVID-19 pandemic: The Information Adoption Model (IAM) approach

Cited by 25 publications

References 64 publications

Factors Influencing the Information Adoption from Social Media review Platform: Extending Information Adoption Model (IAM) with Information Diagnosticity

Factors Influencing the Information Adoption from Social Media review Platform: Extending Information Adoption Model (IAM) with Information Diagnosticity

The Impact of Government Social Media Information Quality on Public Panic During the Infodemic

E-Government Services Introduction Effects in the Covid-19 Pandemic: 2020–2021 Surveys Results

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