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

2021 ◽  
pp. 026666692110108
Author(s):  
Isaac Kofi Mensah ◽  
Samuel Adams ◽  
Joseph Kwame Adjei ◽  
Deborah Simon Mwakapesa
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Quality Information ◽  
Government Services ◽  
Intention To Adopt ◽  
Adoption Model ◽  
Practical Implications ◽  
Information Adoption

The study scrutinized the behavioral adoption of informational e-government services among Chinese citizens in the midst of the COVID-19 pandemic. A structural equation modeling (SEM) technique was applied for the data analysis using Smart PLS 3.0 statistical software. The results show that information quality, information credibility, and ease of COVID-19 informational e-government services are significant in determining citizens’ perception of the usefulness of COVID-19 information shared on e-government platforms. Also, the study revealed that the perceived usefulness of COVID-19 informational e-government services was significant in predicting citizens’ intention to adopt and recommend COVID-19 informational e-government services. The theoretical and practical implications of these findings are interrogated further.

scholarly journals The Effect of YouTube eWOM on Consumer Buying Interest

Revista CEA ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. 167-179
Author(s):  
Amar Nuriman Izudin ◽  
Endang Ruswanti ◽  
Moehammad Unggul Januarko
Keyword(s):  
Structural Equation ◽  
Information Needs ◽  
Information Quality ◽  
Reasoned Action ◽  
Equation Model ◽  
Quality Information ◽  
Analysis Techniques ◽  
Adoption Model ◽  
Acceptance Model ◽  
Information Adoption

YouTube creates valuable social media opportunities in eWOM content. Individuals currently discuss products and other matters with their friends and new acquaintances over the internet. The purpose of this study was to determine the effect of YouTube eWOM conversations on consumer buying interest. Based on the Information Adoption Model (AIM) and the Theory of Reasoned Action (TRAM), we developed a new conceptual model: The Information Acceptance Model (IACM). In this quantitative study, the population under analysis, composed of followers of a YouTube channel, was selected using purposive sampling so that the number of respondents was 200. We implemented data analysis techniques using the Structural Equation Model with Lisrel. The results show that information quality, information credibility, information needs, information usefulness, information adoption, and attitude towards information influence consumer buying interest.

Understanding mobile users' information adoption behaviour: an extension of the information adoption model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulaziz Elwalda ◽  
İsmail Erkan ◽  
Mushfiqur Rahman ◽  
Deniz Zeren
Keyword(s):  
Social Support ◽  
Mobile Communications ◽  
Structural Equation ◽  
Information Quality ◽  
Research Model ◽  
Content Type ◽  
Social Media Platforms ◽  
Adoption Model ◽  
Practical Implications ◽  
Information Adoption

PurposeMobile messaging applications (MMAs) have surpassed top social media platforms. Recent and rapid use of MMAs has made it extremely difficult to ignore the existence of customer-to-customer (C2C) mobile information. This study, therefore, aims to expand the knowledge of customers' adoption behaviour of such information.Design/methodology/approachThrough applying and utilizing social support theory (SST) and the information adoption model (IAM), this study introduces a holistic theoretical model, explaining customers' adoption of information derived from MMAs and exploring the antecedents of IAM. Based on the data collected from 305 UK MMA users, this study empirically tests the research model using structural equation modelling estimation.FindingsThe results of this study reveal that social support is a key antecedent of information quality and credibility and support IAM in terms of its ability to explain MMAs' information adoption.Practical implicationsThe insights are valuable for businesses and marketers to understand customers' mobile communications and be socially support-oriented while developing marketing communication strategies.Originality/valueThe study integrates SST and IAM to improve the understanding of customers' information adoption behaviour. It is the first attempt that establishes that social support is a key antecedent of IAM.

scholarly journals ANALYSIS OF SYSTEM QUALITY, INFORMATION QUALITY AND PERCEIVED USEFULNESS TO USER SATISFACTION

2019 ◽  
pp. 62
Author(s):  
Tiana Tiana ◽  
Bambang Sugiharto ◽  
Indah Umiyati
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Information Quality ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Significant Positive Effect ◽  
Quality Of Information ◽  
Positive Effect

This study aims to test and analyze the quality of the system against perceived usefulness, the quality of information against perceived usefulness, the quality of the system to user satisfaction, Information Quality to user satisfaction and perceived usefulness to user satisfaction. The population in this research is employees teller and customer service department of Bank BJB in subang city. Sampling technique is nonprobability sampling by using purposive sampling method. The type of data used is primary data with questionnaire data collection method. Hypothesis testing used is Structural Equation Modeling (SEM) approach with variance Structural equation test or better known as Partial Least Square (PLS). The result of the research shows that Quality System has a significant positive effect on Perceived Usefulness, Quality of Information has a significant positive effect on Perceived Usefulness, Quality of System has a significant positive effect on user satisfaction, Information Quality has positive significant effect on user satisfaction, and Perceived Usefulness has no effect to User Satisfaction

scholarly journals Citizen Perceptions of E-Government in the Kurdistan Region of Iraq

2015 ◽  
Vol 19 ◽  
Author(s):  
Khosro Mohammad Ahmed ◽  
John Campbell
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Capital City ◽  
Intention To Use ◽  
Kurdistan Region ◽  
Government Services ◽  
Self Rule

Despite increasing investment by governments globally, citizens in some countries are less willing to engage with e-government innovations. While previous studies have examined what might encourage citizens to adopt e-government services more broadly, further research is required to understand those factors that impede or enable e government adoption in countries that have, or are in the process of, transitioning to democratic self-rule. This study is the first to investigate citizen attitudes to e-government adoption in the Kurdistan Region of Iraq and thus provides insight into the factors affecting the adoption of e-government within an emerging democratic state. This study also distinguishes between two types of e-government services; informational and transactional. Thus a research model with two elements is developed and tested; one for intention to use informational e government and one for intention to use transactional e-government. Data were collected through a survey administered to university students and non-academic employees in Arbil the capital city of Kurdistan, and analysed using structural equation modelling. Perceived usefulness, social influence, trust in government and perceived risk were found to be significantly and directly associated with the intention to use both kinds of e-government services. However perceptions of ease of use, information quality and trust in the Internet were not significant.

Constructing an Adoption Model for e-Government Services

2014 ◽  
Vol 68 (2) ◽  
Author(s):  
Maziar Shajari ◽  
Zuraini Ismail
Keyword(s):  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Government Services ◽  
Structured Equation Modeling ◽  
Frequent Use ◽  
Proposed Model ◽  
Adoption Model ◽  
The Government

 The frequent use of e-Government services and the ability of the government to successfully implement e-Government to match the needs of the citizens remain to be understood. The purpose of this study is to construct an adoption model for the e-Government services by considering renowned technology adoption models. This model considered trustworthiness in shaping the adoption model. To test the model, questionnaire was designed, adapted from previous studies which were distributed to employees of public organizations in Esfahan, Iran. The proposed model was thoroughly analyzed using Structured Equation Modeling (SEM). The new adoption model modified and the final model consist of ten constructs including intention to use, trustworthiness, perceived usefulness, perceived ease of use, compatibility, social influence, job relevant, output quality, and image. The results affirmed that relationships between the model variables suggested good model fit. The fitted model of this study may be applied to other e-Government services of other countries.

scholarly journals E-Health System Characteristics, Medical Performance, and Healthcare Quality at Jordan’s Health Centers

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Malik Bader Alazzam ◽  
Husam Al Khatib ◽  
Walid Theib Mohammad ◽  
Fawaz Alassery
Keyword(s):  
Beneficial Effect ◽  
Patient Care ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Information Quality ◽  
Health Information System ◽  
Medical Personnel ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality

This research explores how e-health systems’ features (information quality, quality of the system, usability perceived, and perceived usefulness) contribute to improving medical personnel performance in medical centers, patient care, and physician-patient interactions in Jordan. The objective is to evaluate a single integrated model consisting of the technology acceptance model. This study used the logical research method and approach. A collection of data from 212 medical personnel working in 19 healthcare facilities throughout Jordan were gathered. To analyze the data collected and test the hypotheses of the research, a partially square/structural equation modeling method has been employed. The study found that the health information system (HIS) information quality has a direct and indirect beneficial effect on the performance of the staff, beneficial effects on patient care alone, and only favorable, indirect effects on the doctor-patient relationship. On the contrary, system quality was shown to influence directly and indirectly and to have a direct and indirect beneficial effect both on the connection between doctors and patients. Remember that the HIS has accessibility, speed, and mistake detection and avoids error issues. These shortcomings are suggested to be rectified in conjunction with improved user perception towards easy usage and utilization of the system.

YouTube channels influence on destination visit intentions

2020 ◽  
Vol 12 (1) ◽  
pp. 23-42
Author(s):  
Neelika Arora ◽  
Suman Lata
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Source Expertise ◽  
Indian Context ◽  
Past Experiences ◽  
Practical Implications ◽  
Information Adoption

Purpose With the usage of social media and Web 2. 0, YouTube channels currently play a pivotal role in supporting a traveler’s destination visit. Travelers create their YouTube channels and share their past experiences in the form of videos, which helps other potential travelers to support their destination visit. The purpose of this paper is to understand how travelers adopt information through YouTube channels and how it influences the traveler’s intention to visit a destination. Design/methodology/approach A research model was constructed and empirically tested by using a sample of 486 respondents who watch YouTube channels before visiting a destination. Further, the hypotheses of this study were validated with the help of structural equation modeling using partial least squares. The respondents in this study were from Delhi. Findings This paper found comprehensiveness, relevance, timeliness, source expertise and attitude as the most significant predictors of a traveler’s destination visit intention through YouTube channel adoption. Further, source trustworthiness and accuracy were not found to be statistically significant. Research limitations/Implications The findings of this paper were based on data taken from the local respondents in Delhi. Further, it analyzed the influence of only seven dimensions on destination visit intention, which could have excluded some important factors that influence tourists’ destination visit intention. Practical implications This paper has provided implications for YouTube vloggers and tourists. The result proves that while making decisions regarding destination visit, tourists thinks critically and scrutinize the content of YouTube channels prior to deciding a destination. So, vloggers should provide relevant, comprehensive and accurate destination information through their videos to tourists. Originality To the best of authors’ knowledge, this paper is the first in the Indian context to examine the adoption of YouTube channels before visiting destinations through information adoption models with additional constructs.

E-SERVCON and E-Commerce Success

2014 ◽  
Vol 26 (3) ◽  
pp. 1-22 ◽  
Author(s):  
Jung-Yu Lai
Keyword(s):  
Information Systems ◽  
Structural Equation ◽  
Information Quality ◽  
Quality System ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Important Indicator ◽  
Service Convenience

Convenience has become an important indicator of e-commerce systems success. Based on the information systems management and marketing literature, this study explores how customer convenience in using functions and services affects e-commerce systems success. It proposes and analyzes a re-specified e-commerce system model based on the updated DeLone and McLean Information Systems Success Model with a new variable, e-commerce/electronic service convenience. The proposed model re-specifies and validates e-commerce systems success where continuance intention is proposed as a dependent variable and its relationship with independent variables such as information quality, system quality, e-service convenience, perceived usefulness and satisfaction are discussed. Partial least squares structural equation modeling technique is employed to analyze data collected by 210 users of business-to-consumer e-commerce systems in Taiwan. Findings indicate that continuance intention was found to be influenced by both satisfaction and perceived usefulness, which were found to be significant precursors of information quality, system quality, and e-service convenience. These results strongly support our contention that e-service convenience is an important factor affecting e-commerce systems success. They also offer practitioners and managers deeper insights into successful e-commerce systems implementation as well as aid researchers interested in testing related theories.

Visual Analytics Adoption in Business Enterprises

2019 ◽  
Vol 11 (1) ◽  
pp. 68-89 ◽  
Author(s):  
Mohammad Daradkeh
Keyword(s):  
Technology Acceptance ◽  
Visual Analytics ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Positive Effects ◽  
Intention To Adopt ◽  
Business Enterprises

Visual analytics is increasingly being recognized as a source of competitive advantage. Yet, limited research has examined the factors deriving it organizational adoption. By integrating the technology acceptance model (TAM) with the task-technology fit (TTF) model, this research developed a model for visual analytics adoption in business enterprises. To test the research model, data was collected through a questionnaire survey distributed to 400 business professionals working in a variety of industries in Jordan. Collected data were tested and analyzed using structural equation modeling (SEM) technique. Findings of this research confirmed the applicability of the integrated TAM/TTF model to explain the key factors that affect the adoption of visual analytics systems for work-related tasks. Specifically, the results of this research demonstrated that the task, technology, and user characteristics are fundamental and influential antecedents of TTF, which in turn has a significant positive effect on the perceived usefulness and perceived ease of use of visual analytics systems. Additionally, there are significant positive effects from perceived usefulness and perceived ease of use toward users' intention to adopt visual analytics systems, and a firm relationship between perceived ease of use and perceived usefulness of visual analytics systems. Together all these constructs explain 59.9% of the variance in user's intention to adopt visual analytics systems at the workplace. Findings of this research provide several important implications for research and practice, and thus should help in the design and development of more user-accepted visual analytics systems and applications.

scholarly journals Mobile Banking Adoption: Examining the Role of Personality Traits

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093291
Author(s):  
James Agyei ◽  
Shaorong Sun ◽  
Eugene Abrokwah ◽  
Emmanuel Kofi Penney ◽  
Richmond Ofori-Boafo
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Service Providers ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Banking Services ◽  
Intention To Adopt ◽  
The Impact

A number of studies have been conducted on the salient factors that influence consumers’ intention to adopt mobile banking services. However, none of these studies has explored the impact of personality traits on consumers’ intention to adopt mobile banking services. This study investigates the impact of personality traits on users’ intention to adopt mobile banking. Data gathered from 482 mobile banking users in Ghana via a convenience sampling technique using a questionnaire survey were analyzed using structural equation modeling. The results show that agreeableness, conscientiousness, and openness to new experience significantly impact users’ intention to adopt mobile banking through perceptions of usefulness and ease of use, with agreeableness showing the strongest total effect, followed by conscientiousness. The results also reveal that perceived usefulness and perceived ease of use are salient predictors of users’ intention to adopt mobile banking. The study underscores the need for service providers to focus on designing effective marketing strategies that recognize different user personality traits so as to improve adoption.

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