scholarly journals Empirical Validation of Personal and Situational Traits in Usage of Transactional e-Government Services

2021 ◽  
pp. 47-60
Author(s):  
Jongheon Kim ◽  
David Ang* ◽  
Gang-hoon Kim
Keyword(s):  
Technology Acceptance ◽  
Information Disclosure ◽  
Structural Equation ◽  
Structural Model ◽  
Internet Survey ◽  
Equation Modeling ◽  
Measurement Scales ◽  
Government Services ◽  
Research Areas ◽  
Proposed Model

With technology advanced and the flourishing of wired or wireless networks in our daily life, privacy and trustability of transaction media have become highly cherished value. Individuals often make choices in which they surrender a certain degree of privacy in exchange for outcomes or convenience that are perceived to be worthy of the risk of information disclosure. This research attempts to facilitate understandings of the utility of the Technology Acceptance Model (TAM) which is a strongly supported and well-established vehicle in information research and incorporates privacy, risk, and trust factor that are previously regarded as separate research areas from TAM. In addition, it also suggests individual dispositions as precursory factors and examines how they affect users’ risk and trust perception in using transactional e-government services. The proposed model was tested using data gathered from 309 respondents from an internet survey. Structural equation modeling (SEM) using Mplus was employed to validate measurement and structural model. Based on this outcome, the measurements were redefined as composite scores, and subsequent path analysis was conducted to test the proposed hypotheses. The findings provide the structural or causal model of the proposed model attainable, but it requires the development of reliable and valid measurement scales.

scholarly journals The Stakeholder Salience Model Revisited: Evidence from Agri-Food Cooperatives in Spain

2019 ◽  
Vol 11 (3) ◽  
pp. 574
Author(s):  
Cristina Pedrosa-Ortega ◽  
Mª Hernández-Ortiz ◽  
Elia García-Martí ◽  
Manuel Vallejo-Martos
Keyword(s):  
Structural Equation ◽  
Organizational Context ◽  
Business Case ◽  
Original Model ◽  
Equation Modeling ◽  
Stakeholder Salience ◽  
Measurement Scales ◽  
Food Markets ◽  
Proposed Model ◽  
General Business

In recent decades, the importance of cooperatives in agri-food markets has been evident. Specifically, in Spain they represent a very important part of the agri-food industry. However, there is no significant evidence of substantial differences in their management, different from the general business case. The main objective of this study is to examine how a certain organizational context influences manager decisions and perceptions. The purpose is studying whether this influence causes changes to the main conclusions of the stakeholder salience original model. The working methodology consists of carrying out an exploratory and confirmatory factor analysis (from the data of 352 agri-food cooperatives in Spain) in order to test the psychometric properties of measurement scales, and the hypothesized relationships between attributes and stakeholder salience results are examined using structural equation modeling. Results show that the measurement of the stakeholder salience varies in agri-food cooperatives. The contributions of this study are to confirm that: (1) in agri-food cooperatives legitimacy is the first measurement of stakeholder salience, unlike the general business case where that is power; (2) the attribute of urgency remains unchanged from the proposed model; and (3) add to the original model the attribute of durability because of the permanence of the interest of stakeholders in agri-food cooperatives.

Citizens' E-Government Services Adoption

2014 ◽  
Vol 1 (2) ◽  
pp. 80-96 ◽  
Author(s):  
Wadie Nasri
Keyword(s):  
Structural Equation ◽  
Policy Decision ◽  
Equation Modeling ◽  
Government Services ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Modeling Analysis ◽  
Proposed Model ◽  
Effort Expectancy ◽  
And Performance

This study investigates the factors that influencing citizens' intention to use e-government services and its causal relationships using the Unified Theory of Acceptance and Use of Technology model (UTAUT). Data relating to the constructs were collected from 150 respondents but only 85 responses were received and subjected to Structural Equation Modeling analysis (SEM). The proposed model fits the data well. The findings reveal that facilitating condition, social influence, attitude, effort expectancy and performance expectancy determine citizens' intention towards e-government services. Additionally, attitude is predicted jointly by effort expectancy and performance expectancy. This study would help government policy decision makers to increase the adoption of e-government services in Tunisia country.

Electronic government adoption in voluntary environments – a case study of Zimbabwe

2019 ◽  
Vol 36 (3) ◽  
pp. 414-437
Author(s):  
Willard Munyoka
Keyword(s):  
Conceptual Framework ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Structural Model ◽  
Trust Model ◽  
Electronic Government ◽  
Behavioural Intentions ◽  
Use Of Technology ◽  
Proposed Model ◽  
Acceptance Model

Many governmental organisations across the world are progressively implementing electronic government systems to enhance their back-office operations and offer better and efficient services to citizens. Zimbabwe is not an exception to this e-government wave. Previous studies note that the acceptance and utilisation of e-government systems by citizens in Zimbabwe remains suboptimal, sluggish and problematic due to several factors. This study sought to establish the effect of seven predictor variables on citizens’ behavioural intentions to use e-government systems in Zimbabwe. Drawing from the extended Technology Acceptance Model (TAM2), extended Unified Theory of Acceptance and Use of Technology (UTAUT2), Framework for National and Donor Action, and e-Government Trust model as theoretical underpinnings, this study proposed a conceptual framework to predict citizens’ behavioural intentions on e-government. Survey data for testing the conceptual framework were collected from 247 respondents in Zimbabwe using structured questionnaires. Confirmatory factor analysis using IBM AMOS structural equation modelling method was conducted to establish the structural model fit of the proposed model. Findings of this study establish that eight of the hypothesised constructs explain 89% of the discrepancies of behavioural intention to demonstrate good predictive power of the proposed model in voluntary environments. Thus, level of education, facilitating conditions, e-government awareness, price value; privacy, security and trust; political self-efficacy and influence were all confirmed as salient predictors of e-government adoption. These findings provide invaluable insights and pointers to practitioners and policy-makers on e-government implementation and may guide further research on e-government adoption in voluntary environments.

Gain more insight from your PLS-SEM results

2016 ◽  
Vol 116 (9) ◽  
pp. 1865-1886 ◽  
Author(s):  
Christian M. Ringle ◽  
Marko Sarstedt
Keyword(s):  
Technology Acceptance ◽  
Latent Variables ◽  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Measurement Scales ◽  
Content Type ◽  
Systematic Procedure ◽  
Average Value

Purpose The purpose of this paper is to introduce the importance-performance map analysis (IPMA) and explain how to use it in the context of partial least squares structural equation modeling (PLS-SEM). A case study, drawing on the IPMA module implemented in the SmartPLS 3 software, illustrates the results generation and interpretation. Design/methodology/approach The explications first address the principles of the IPMA and introduce a systematic procedure for its use, followed by a detailed discussion of each step. Finally, a case study on the use of technology shows how to apply the IPMA in empirical PLS-SEM studies. Findings The IPMA gives researchers the opportunity to enrich their PLS-SEM analysis and, thereby, gain additional results and findings. More specifically, instead of only analyzing the path coefficients (i.e. the importance dimension), the IPMA also considers the average value of the latent variables and their indicators (i.e. performance dimension). Research limitations/implications An IPMA is tied to certain requirements, which relate to the measurement scales, variable coding, and indicator weights estimates. Moreover, the IPMA presumes linear relationships. This research does not address the computation and interpretation of non-linear dependencies. Practical implications The IPMA is particularly useful for generating additional findings and conclusions by combining the analysis of the importance and performance dimensions in practical PLS-SEM applications. Thereby, the IPMA allows for prioritizing constructs to improve a certain target construct. Expanding the analysis to the indicator level facilitates identifying the most important areas of specific actions. These results are, for example, particularly important in practical studies identifying the differing impacts that certain construct dimensions have on phenomena such as technology acceptance, corporate reputation, or customer satisfaction. Originality/value This paper is the first to offer researchers a tutorial and annotated example of an IPMA. Based on a state-of-the-art review of the technique and a detailed explanation of the method, this paper introduces a systematic procedure for running an IPMA. A case study illustrates the analysis, using the SmartPLS 3 software.

Understanding the emergence of wearable devices as next-generation tools for health communication

2016 ◽  
Vol 29 (4) ◽  
pp. 717-732 ◽  
Author(s):  
Eunil Park ◽  
Ki Joon Kim ◽  
Sang Jib Kwon
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Reliability And Validity ◽  
Wearable Devices ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Adoption Process ◽  
Content Type

Purpose The purpose of this paper is to identify motivational factors for using wearable healthcare devices and examine the process by which these factors are integrated with the technology acceptance model (TAM) and contribute to the adoption of the devices. Design/methodology/approach An online survey assessed the proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=877) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived control and interactivity of wearable healthcare devices as well as users’ innovative tendencies are positively associated with usage intention, while perceived cost has no significant effects on user intention to use the devices. The results also supported the explanatory strength and predictability of TAM. Originality/value Although the promising role of wearable devices in healthcare industries has gained much consumer attention, limited empirical investigations have been conducted on explicating how user attitude and usage intention are shaped regarding the devices. This study serves as one of the first attempts to empirically examine the adoption process, with implications for the future usage of wearable technology in the healthcare context.

A Structural Model Approach for Assessing Information Security Value in Organizations

2018 ◽  
Vol 9 (4) ◽  
pp. 47-69
Author(s):  
Daniel Schatz ◽  
Rabih Bashroush
Keyword(s):  
Information Security ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Security Investment ◽  
Income Sources ◽  
Proposed Model ◽  
Security Value ◽  
Information Security Investment

Data is rapidly becoming one of the most important assets in global markets, and criminals are spotting opportunities to exploit new potential income sources. In response to this, organizations are dedicating increasing resources to information security programs. However, faced with unrelenting breach reports and rising costs, decision makers inevitably wonder which type of security investment is economically viable. In this article, the authors present an empirically tested model describing the underlying key constructs for assessing information security value in an organization. Based on identified latent variables previously put forward in the literature, the authors use a partial least squares structural equation modeling approach to verify the model's soundness. They identify five crucial variables for value-focused information security investment. The relationships among these latent variables are then investigated and contributions of the structural model assessed. The key findings are finally presented to highlight opportunities for security practitioners to apply the proposed model.

scholarly journals Long Term Orientation Moderating Effect on Acceptance of Jogja Smart Service in Countries with Pragmatic Society

2021 ◽  
Vol 3 (2) ◽  
pp. 138
Author(s):  
Julius Galih Prima Negara
Keyword(s):  
Technology Acceptance ◽  
Smart City ◽  
Information Disclosure ◽  
Equation Modeling ◽  
Acceptance Testing ◽  
P Value ◽  
Government Services ◽  
The Government ◽  
Acceptance Model

The government and stakeholders with smart city concept can take advantage of communication technology, a network that has grown rapidly to date for all the needs of urban challenges. The challenges of government services that must be shortened, cut distances, and information disclosure can begin to be resolved with the concept of a smart city with its various products. The technology acceptance model combined with the cultural moderator has been used by several researchers for acceptance testing, one of which is this paper. Research and survey data collection were processed using Smart PLS 3.2 with Sequential Equation Modeling in Yogyakarta, Indonesia. This is unique to discuss because the p-value of Long Term Orientation (LT) is 0.386 which means that it does not significantly moderate behavior. This is interesting to be presented in publications, because Indonesia is a country with a high Long Term orientation value or a pragmatic society. Pragmatic societies tend to be more flexible in adjusting traditions, with the current context, and easy to adapt. Our supporting findings are that respondents who have tried using JSS are still given the opportunity to use conventional methods in government services.

scholarly journals Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study

2019 ◽  
Vol 13 (11) ◽  
pp. 157 ◽  
Author(s):  
Muhammad Turki Alshurideh ◽  
Said Abdelrahim Salloum ◽  
Barween Al Kurdi ◽  
Azza Abdel Monem ◽  
Khaled Shaalan
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Mobile Learning ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Learning Experience ◽  
Internet Technology ◽  
Equation Modeling ◽  
Learning Platform

<p class="0abstract">There is a widespread use of Internet technology in the present times, because of which universities are making investments in Mobile learning to augment their position in the face of extensive competition and also to enhance their students’ learning experience and efficiency. Nonetheless, Mobile Learning Platform are only going to be successful when students show acceptance and adoption of this technology. Our literature review indicates that very few studies have been carried out to show how university students accept and employ Mobile Learning Platform. In addition, it is asserted that behavioral models of technology acceptance are not equally applied in different cultures. The purpose of this study is to develop an extension of Technology Acceptance Model (TAM) by including four more constructs: namely, content quality, service quality, information quality and quality of the system. This is proposed to make it more relevant for the developing countries, like the United Arab Emirates (UAE). An online survey was carried out to obtain the data. A total of 221 students from the UAE took part in this survey. Structural equation modeling was used to determine and test the measurement and structural model. Data analysis was carried out, which showed that ten out of a total of 12 hypotheses are supported. This shows that there is support for the applicability of the extended TAM in the UAE. These outcomes suggest that Mobile Learning Platform should be considered by the policymakers and education developers as being not only a technological solution but also as being new e-learning platform especially for distance learning students.</p>

From owning to sharing: understanding the emergence of social sharing services

2017 ◽  
Vol 51 (2) ◽  
pp. 102-115 ◽  
Author(s):  
Heetae Kim ◽  
Kyu Ha Choi ◽  
Ki Joon Kim ◽  
Eunil Park
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Privacy Concern ◽  
Car Sharing ◽  
Content Type ◽  
Social Sharing

Purpose The purpose of this paper is to identify the motivational factors that help shape user perceptions of and attitudes toward car-sharing services and develop a research model that integrates these factors with the technology acceptance model to explicate car sharing’s adoption pattern. Design/methodology/approach An online survey was administered to examine the role of proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=638) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived reliability, compatibility, and enjoyment of car-sharing services as well as users’ innovative tendencies are positively associated with usage intention. However, users’ privacy concern and perceived cost of using the services are found to have no significant effects on the adoption of the services. Originality/value While the recent advent of mobile communication devices and services has increased access to social sharing-based platform services such as car sharing, this study provides a research framework that helps to understand how various psychological factors contribute to the adoption of a social-sharing service.

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