Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen

2017 ◽  
Vol 34 (3) ◽  
pp. 210-241 ◽  
Author(s):  
Osama Isaac ◽  
Zaini Abdullah ◽  
T. Ramayah ◽  
Ahmed M. Mutahar
Keyword(s):  
Factor Analysis ◽  
User Satisfaction ◽  
Positive Impact ◽  
Internet Usage ◽  
Performance Impact ◽  
Content Type ◽  
Actual Usage ◽  
Proposed Model ◽  
Task Technology Fit ◽  
And Performance

Purpose The internet technology becomes an essential tool for individuals, organizations, and nations for growth and prosperity. The purpose of this paper is to integrate the DeLone and McLean IS success model with task-technology fit (TTF) to explain the performance impact of Yemeni Government employees. Design/methodology/approach Questionnaire survey method was used to collect primary data from 530 internet users among employees within all 30 government ministries-institutions in Yemen. The four constructs in the proposed model were measured using existing scales. The data analysis starts with initial exploratory factor analysis, then confirmatory factor analysis and lastly structural equation modeling via AMOS. Findings The results showed that the proposed integrated model fits the data well. Findings of the multivariate analysis demonstrate four main results. First, actual usage has a strong positive impact on user satisfaction, TTF, and performance impact. Second, user satisfaction has a great influence on performance impact. Third, TTF has a strong positive impact on user satisfaction and performance impact. Fourth, both user satisfaction and TTF mediate the relationship between the actual usage and performance impact. Research limitations/implications The public sector in Yemen contains three parts: Yemeni prime minister, Yemeni ministries, and government agencies. This study focuses only on the Yemeni employees among Yemeni ministries; hence the results are not necessarily generalizable. Moreover, there are biases when the researcher measures the actual Internet usage variable through asking a participant about their opinion regarding their usage because these are generally found to differ from the true score of system usage. Practical implications The findings should be very useful for the Yemeni Government in presenting the importance of information technology effects on individual efficiency and effectiveness. Therefore, the information from these findings should encourage and support the formation of future policy at the organizational level and national level. If the government utilizes these findings by setting up strategies to promote internet usage, this may, in turn, improve professional practice, personal development, and quality of working life. Originality/value This paper adds to the existing literature of information systems by combining actual technology usage, user satisfaction, and TTF to predict performance impact within the organizations. Furthermore, this study proposed a second-order model of performance impact in order to increase the power of explaining the output by the model, which contains four first-order constructs: process, knowledge acquisition, communication quality, and decision quality. The predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

An extension of Delone and McLean IS success model with self-efficacy

2018 ◽  
Vol 35 (4) ◽  
pp. 285-304 ◽  
Author(s):  
Adnan Aldholay ◽  
Osama Isaac ◽  
Zaini Abdullah ◽  
Rasheed Abdulsalam ◽  
Ahmed Hamoud Al-Shibami
Keyword(s):  
Online Learning ◽  
Student Performance ◽  
User Satisfaction ◽  
Self Efficacy ◽  
Public Universities ◽  
Positive Impact ◽  
Performance Impact ◽  
Content Type ◽  
Actual Usage ◽  
Proposed Model

PurposeWhile many researchers have investigated the adoption and usage of online learning in different settings, one area that has yet to be examined thoroughly, particularly in the context of online learning in Yemen, is the self-efficacy role. The purpose of this paper is to extend the Delone and McLean information system success model by incorporating a self-efficacy construct as an antecedent to user satisfaction and actual usage to predict student performance.Design/methodology/approachQuestionnaire survey method was used to collect primary data from 448 students in nine public universities in Yemen. The six constructs in the proposed model were measured using existing scales. The data analysed using confirmatory factor analysis and structural equation modelling via AMOS.FindingsThree main results were revealed, namely that overall quality (system, information and service quality) and self-efficacy have a positive impact on user satisfaction and actual usage; that actual usage significantly predicts user satisfaction; and that both user satisfaction and actual usage have a positive impact on student performance.Research limitations/implicationsFirst as the study population were students from nine public universities, it excluded academics and administrative staff. Second, the study depends on self-reported measures to test the proposed research model. This is because getting objective data about the performance was not probable due to the issue of privacy.Practical implicationsThe findings of this study can be a guideline for Yemeni higher education institutions to develop efficient and effective plans to improve the performance of education institutions, and train and develop student ability to use online learning. Additionally, it highlights the areas that university management needs to concentrate on, namely information systems (IS) tools that will contribute to higher student enrolment, address the lack of infrastructure and improve the quality of education outcomes, things which represent Yemen’s main challenges in the higher education sector.Originality/valueThis paper adds to the existing literature of IS by combining overall quality, self-efficacy, actual usage and user satisfaction to predict performance impact of online learning among students in nine public universities in Yemen. Furthermore, the predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

Enabling internet banking adoption

2017 ◽  
Vol 30 (2) ◽  
pp. 263-294 ◽  
Author(s):  
Bijith Marakarkandy ◽  
Nilay Yajnik ◽  
Chandan Dasgupta
Keyword(s):  
Perceived Risk ◽  
Structural Model ◽  
Measurement Model ◽  
Internet Banking ◽  
Internet Usage ◽  
Government Support ◽  
Content Type ◽  
Actual Usage ◽  
Proposed Model ◽  
The Relationship

Purpose The integration of relevant antecedents into TAM would lead to better understanding of the decision factors which act as enablers for the adoption of internet banking. The purpose of the paper is to determine the influence of the antecedents subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk, trialability and government support on the existing constructs of the technology acceptance model (TAM) and to test measurement invariance and the moderating effect of the demographic variables on the relationship between the latent constructs used in this augmented TAM. Design/methodology/approach A survey questionnaire was administered on internet banking users and a total of 300 responses were collected. A two-step approach suggested by Hair et al. (2006) and Schumacker and Lomax (2004) was used in this study. The proposed model was assessed using the confirmatory factor analysis approach. The structural model was then tested in order to establish nomological validity. The data based on four demographic dimensions gender, age, income, education were divided into two groups for each of these demographic dimensions. The invariance test was first performed on the measurement model and then on the structural model. The measurement model and structural model were subjected to tests of equivalence of parameters across groups. Findings To a large extent the results of the study supports the proposed model and thereby contributes to understand the influence of subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk and government support on internet banking adoption. The predictor variables in the augmented TAM were able to explain 29.9 per cent of the variance in the actual usage of internet banking as compared to the TAM which was able to explain only 26.5 per cent variance in the actual usage of internet banking. A significant difference in the relationship between the different constructs of the model was observed when the model was subjected to multi-group invariance testing. Research limitations/implications The study suffers from the same limitations as most other studies involving TAM. In this study self-reported measures about the usage were taken as the actual usage. The findings of the study can be of use to marketers for target-specific marketing by customizing the marketing campaign focussing on the factors that were found to be strong influencers leading to the usage of internet banking for each target audience. Originality/value The main challenge in this study was to develop the conceptual model for the internet banking adoption by extending the TAM and to get a robust theoretical support from the extant literature for the relevant factors along with their relationship to uncover new insights about factors responsible for the internet banking adoption. The augmented model had an improved predictive capability and explanatory utility.

Leader–follower narcissism and subgroup formation in teams: a conceptual model

2019 ◽  
Vol 34 (6) ◽  
pp. 429-442 ◽  
Author(s):  
Manuel London
Keyword(s):  
Team Performance ◽  
Team Identification ◽  
Goal Congruence ◽  
Content Type ◽  
Team Outcomes ◽  
Performance Pressure ◽  
Proposed Model ◽  
Leaders And Followers ◽  
Trait Activation ◽  
And Performance

Purpose Drawing on existing theory, a model is developed to illustrate how the interaction between leaders and followers similarity in narcissism and goal congruence may influence subgroup formation in teams, and how this interaction influences team identification and team performance. Design/methodology/approach The proposed model draws on dominance complementary, similarity attraction, faultline formation and trait activation theories. Findings Leader–follower similarity in narcissism and goal congruence may stimulate subgroup formation, possibly resulting in conformers, conspirators, outsiders and victims, especially when performance pressure on a team is high. Followers who are low in narcissism and share goals with a leader who is narcissistic are likely to become conformers. Followers who are high in narcissism and share goals with a narcissistic leader are likely to become confederates. Followers who do not share goals with a narcissistic leader will be treated by the leader and other members as outsiders if they are high in narcissism, and victimized if they are low in narcissism. In addition, the emergence of these subgroups leads to reduced team identification and lower team performance. Practical implications Higher level managers, coaches and human resource professions can assess and, if necessary, counteract low team identification and performance resulting from the narcissistic personality characteristics of leaders and followers. Originality/value The model addresses how and under what conditions narcissistic leaders and followers may influence subgroup formation and team outcomes.

Does corporate governance affect the performance of Islamic banks? New insight into Islamic countries

2020 ◽  
Vol 20 (6) ◽  
pp. 1073-1090 ◽  
Author(s):  
Ejaz Aslam ◽  
Razali Haron
Keyword(s):  
Corporate Governance ◽  
Audit Committee ◽  
Positive Impact ◽  
Islamic Banks ◽  
Governance Mechanism ◽  
Method Of Moment ◽  
Content Type ◽  
Return On Equity ◽  
Islamic Countries ◽  
And Performance

Purpose Corporate governance plays a significant role to overcome agency issues and develop the culture of transparency and openness. In this context, this paper aims to examine how corporate governance mechanisms affect the performance of Islamic banks (IBs). Design/methodology/approach Stepwise, two-step system generalize method of moment estimation technique is used in the analysis in which control variables are added into the model sequentially. This study used data on 129 IBs from 29 Islamic countries (Middle East, South Asia and Southeast Asia) during the period of 2008 to 2017. Findings The findings suggest that the audit committee (AUDC) and Shariah board (SB) have positive impact on the performance of IBs (return on assets and return on equity). However, board size and risk management committee have negative and significant effect on the performance of IBs. CEO duality and non-executive directors have mixed relationship with the performance of IBs. These results support the argument that IBs need to improve their financial performance through appropriate governance mechanism. Research limitations/implications The findings of the study added a new dimension to the governance research that could be a valuable source of knowledge for policymakers and regulators to improve the existing governance mechanism for better performance of IBs. Originality/value The study fills the gap in the literature by addressing the issue of corporate governance on performance of IBs across countries. Agency theory is discussed to explain the relationship between corporate governance mechanism and performance.

Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rita Shakouri ◽  
Maziar Salahi
Keyword(s):  
Resource Sharing ◽  
Content Type ◽  
Development Level ◽  
Proposed Model ◽  
Decision Making Unit ◽  
Efficiency Estimation ◽  
Overall Efficiency ◽  
And Performance ◽  
The Right ◽  
The Impact

Purpose This paper aims to apply a new approach for resource sharing and efficiency estimation of subunits in the presence of non-discretionary factors and partial impacts among inputs and outputs in the data envelopment analysis (DEA) framework. Design/methodology/approach First, inspired by the Imanirad et al.’s model (2013), the authors consider that each decision-making unit (DMU) may consist of several subunits, that each of which can be affected by non-discretionary inputs. After that, the Banker and Morey’s model (1996) is used for modeling non-discretionary factors. For measuring performance of several subunits, which can be considered as DMUs, the aggregate efficiency is suggested. At last, the overall efficiency is computed and compared with each other. Findings One of the important features of proposed model is that each output in this model applies discretionary input according to its need; therefore, the result of this study will make it easier for the managers to make better decisions. Also, it indicates that significant predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the influence of non-discretionary input. Therefore, the proposed model provides a more reasonable and encompassing measure of performance in participating non-discretionary and discretionary inputs to better efficiency. An application of the proposed model for gaining efficiency of 17 road patrols is provided. Research limitations/implications More non-discretionary and discretionary inputs can be taken into consideration for a better analysis. This study provides us with a framework for performance measures along with useful managerial insights. Focusing upon the right scope of operations may help out the management in improving their overall efficiency and performance. In the recent highway maintenance management systems, the environmental differences exist among patrols and other geotechnical services under the climate diverse. Further, in some cases, there might exist more than one non-discretionary factor that can have different effects on the subunits’ performance. Practical implications The purpose of this paper was to measure the performance of a set of the roadway maintenance crews and to analyze the impact of non-discretionary inputs on the efficiency of the roadway maintenance. The application of the proposed model, on the one hand, showed that each output in this model uses discretionary input according to its requirement, and on the other hand, the result showed that meaningful predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the impact of non-discretionary input. Originality/value Providing information on resource sharing by taking into account non-discretionary factors for each subunit can help managers to make better decisions to increase the efficiency.

A validation of the performance management scale

2018 ◽  
Vol 35 (6) ◽  
pp. 1253-1267 ◽  
Author(s):  
Khahan Na-nan ◽  
Kanokporn Chaiprasit ◽  
Peerapong Pukkeeree
Keyword(s):  
Factor Analysis ◽  
Performance Evaluation ◽  
Performance Management ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Evaluation Performance ◽  
Content Type ◽  
Performance Review ◽  
And Performance ◽  
Fit Index

Purpose The purpose of this paper is to develop a performance management (PM) scale questionnaire that encompasses the pre-requisite, performance planning, performance evaluation, performance review, and performance application dimensions of PM. Design/methodology/approach In the study, the 33 questionnaire questions were first validated using exploratory factor analysis (EFA) and then by confirmatory factor analysis (CFA) along the three performance dimensions. The research sample consists of 330 entrepreneurs. The factor analysis results confirm the validity of the questionnaire as a reliable entrepreneur PM evaluation tool, as evidenced by the composite reliability of 0.845 and the average variance extracted of 0.532. Findings All constructs revealed the acceptable internal consistency reliability. A good model fit was found for the measurement model using several fit index like χ2=449.983, degree of freedom=415, p-value (p)=0.114, goodness of fit index=0.927, adjusted goodness of fit index=0.901, root mean square error of approximation=0.016, and root of mean square residuals=0.032. Research limitations/implications The PM model was examined using EFA and CFA only. A sample with only SMEs entrepreneurs and large sample size and sample area can be used in future research. Practical implications This research paper is an endeavor to explore only the reliability and validity of the PM model. Thus all the five dimension, namely “pre-requisite” “performance planning,” “performance evaluation,” “performance review,” and “performance application” proved out of be reliable and validated when it will be tested in case of SMEs’ high-growth sectors and high-impact sectors. Originality/value The main contribution of this research is that all factors have a good fit and acceptable reliability value; each factor can be measured individually depending on the nature of the research.

Success factors driving consumer reuse intention of mobile shopping application channel

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Timmy H. Tseng ◽  
Crystal T. Lee ◽  
Hsiao-Ting Huang ◽  
Wei Hao Yang
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Success Factors ◽  
Positive Impact ◽  
Perceived Value ◽  
Sales Promotion ◽  
Parasocial Interaction ◽  
Content Type ◽  
Mobile Shopping ◽  
Ess Model

PurposeDue to fierce competition in the mobile retailing market, it is desirable to identify the success factors driving consumers to reuse a mobile shopping application. This research intends to develop a model for mobile shopping app success by integrating an e-commerce systems success (ESS) model and sales promotion benefits and parasocial interaction literatures.Design/methodology/approach302 useable online questionnaires were obtained. The data analysis was conducted using the structural equation modelling.FindingsThe results indicate the validity of the ESS model in predicting consumers' reuse intention of mobile shopping apps where three quality dimensions of system, information and service facilitate both perceived value and user satisfaction, which in turn generates reuse intention. Furthermore, savings and entertainment denoting the utilitarian and hedonic sales promotion benefits have positive impact on perceived value but have no influence on satisfaction. Parasocial intention between consumers and sellers facilitates both value perception and satisfaction.Originality/valueThis research contributes to the mobile retailing literature by identifying the success factors driving consumers' continuance intention of mobile shopping apps. Theoretically, it validates and extends the ESS model in mobile shopping app context by identifying savings, entertainment and parasocial interaction as additional success factors. Based on the findings, two approaches are proposed to suggest mobile retailers design a successful mobile shopping app.

Examining internet banking user’s continuance intention through the lens of technology continuance theory and task technology fit model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samar Rahi ◽  
Mazuri Abd Ghani
Keyword(s):  
User Satisfaction ◽  
Internet Banking ◽  
Perceived Usefulness ◽  
Matrix Analysis ◽  
Research Model ◽  
Continuance Intention ◽  
Content Type ◽  
Task Technology Fit ◽  
And Task ◽  
Expectation Confirmation

Purpose The long-term success of internet banking (IB) services is connected with continuous use. Therefore, examining factors which influence IB user continuance intention is important. Grounded in technology continuance theory, bank transparency and task technology fit (TTF) model, the purpose of this study is to develop a unified technology continuance model to investigate IB user continuance intention. Design/methodology/approach The research model was empirically tested with 348 responses. Respondents included in this study had prior experience with IB services. For hypotheses testing, the structural equation modelling approach was used. Findings Findings indicate that the research model has substantial power in explaining IB user continuance intention. Importance performance matrix analysis revealed that bank transparency had the highest importance in determining IB user continuance intention. Therefore, factors like user satisfaction and perceived usefulness have shown a medium level of importance in determining IB user continuance intention. Satisfaction is influenced by perceived usefulness and confirmation and established a significant impact on IB user continuance intention. Practical implications The findings of this research are useful for bank managers and policymakers to develop and design IB services according to user’s expectations. Results demonstrate that expectation confirmation and perceived usefulness are antecedents of IB user satisfaction and IB user continuance intention. In addition to that bank, transparency has shown a significant effect on user expectation and IB user continuance intention. These findings established that accuracy in sharing bank information and clarity in transaction charges encourage the user to continue the use of IB services. Originality/value The current study develops a unified technology continuance model based on the TTF model and technology continuance theory and investigates IB user continuance intention. Moreover, bank transparency is added in the technology continuance model and established a significant impact towards user expectation confirmation and continuance intention. These findings contribute to the limited body of research in the context of IB user continuance intention and enrich information system literature.

Evaluation of local government revenue collection information system success in Tanzania

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John M. Sausi ◽  
Erick J. Kitali ◽  
Joel S. Mtebe
Keyword(s):  
Information System ◽  
Local Government ◽  
User Satisfaction ◽  
Information Quality ◽  
Positive Impact ◽  
Government Revenue ◽  
System Quality ◽  
Content Type ◽  
Revenue Collection ◽  
Negative Effect

Purpose This study aims to adapt the updated DeLone and McLean model to evaluate the success of the local government revenue collection and information system (IS) implemented in Tanzania. Design/methodology/approach The study used a concurrent mixed research design integrating quantitative and qualitative data within a single investigation. A total of 296 users from local government authorities (LGAs) in 5 regions in Tanzania participated in the study. Findings The study found that the system quality and information quality had a significant positive impact whilst service quality and trust in the system had a significant negative effect. In contrast, facilitating conditions did not have an effect whatsoever. The findings from the open-ended questions and implications of the findings are discussed. Originality/value The findings from this study will help LGAs understand the factors that affect the success of the ISs in developing countries. The results indicate that in addition to information technology attributes, building trust in the system is crucial to foster user satisfaction and increase the public value of the systems.

Social customer relationship management factors and business benefits

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Ranjan Chaudhuri ◽  
Demetris Vrontis ◽  
Alkis Thrassou ◽  
Soumya Kanti Ghosh ◽  
...  
Keyword(s):  
Customer Relationship Management ◽  
Positive Impact ◽  
Empirical Studies ◽  
Relationship Management ◽  
Customer Relationship ◽  
Content Type ◽  
Factors Affecting ◽  
Leadership Support ◽  
Proposed Model ◽  
Actual Use

Purpose This study aims to identify the business benefit of and factors affecting the use of social customer relationship management (SCRM) in Indian organizations. Design/methodology/approach Building on theoretical foundations, a conceptual model of factors affecting SCRM in Indian organizations is developed and empirically tested through a survey and corresponding analysis using SPSS and AMOS software. Findings The study presents empirical evidence that technological competence, environmental characteristics and organizational environment positively impact the actual use of SCRM on Indian organizations. Additionally, leadership support of organizations impacts positively the actual use of SCRM in organizations, while the trust factor insignificantly impacts the latter. The actual use of SCRM in organizations was found to have a positive impact on their business benefits. Research limitations/implications The theoretical model is built on the constructs of the technology, environment and organizational framework. It has added new factors, such as leadership support and trust, and thereby identified the business benefits of organizations using SCRM mediating through the organizations’ actual use of SCRM. The proposed model is simple, implementable and has a high explanative power of 81 per cent. Practical implications The study provides practitioners with evidence and practicable knowledge regarding the means and impact/benefits of SCRM use in Indian organizations. Originality/value The study is one of few empirical studies on the topic and contributes valuable knowledge to extant works through additional factors, theoretical conceptualization and empirical scientific findings of both scholarly and executive worth.

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