scholarly journals Assessing the success of the perceived usefulness for knowledge management systems

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Knowledge Management ◽  
User Satisfaction ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Management Systems ◽  
Equation Modeling ◽  
Educational Institutions ◽  
Knowledge Management Systems ◽  
Information Systems Success ◽  
Staff Members

Recently, Knowledge Management Systems (KMS) consider one of the major fields of study in educational institutions, caused by the necessity to identify their knowledge value and success. Hence, based on the updated DeLone and McLean’s Information Systems Success Model (DMISSM), this study set out to assess the success of the Perceived Usefulness of Knowledge Management Systems (PUKMS) in Iraqi universities. To achieve this objective, the quantitative method is selected as the research design. In total, 421 university administration staff members from 13 Iraqi private universities were conducted. This study highlights a number of significant results depending on structural equation modeling which confirms that system, information, and service quality play a fulfilling role in ensuring user satisfaction and the PUKMS.

scholarly journals Why People Keep Using Knowledge Management Systems: A Causal Analysis of Continuance Behavior

2022 ◽  
Vol 19 (3) ◽  
pp. pp237-254
Author(s):  
Eric Tucker ◽  
Timothy Kotnour
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Structural Equation ◽  
Online Survey ◽  
Knowledge Management System ◽  
Management Systems ◽  
Coefficient Of Determination ◽  
Equation Modeling ◽  
Knowledge Management Systems ◽  
Continuous User

This study examines the factors that cause a person to become a continuous user of a knowledge management system by examining continuance behavior. Continuance behavior is the decision to continue using a product after initial use. The data for this study were obtained using an online survey. The results were analyzed using partial least squares structural equation modeling. Six main hypotheses were developed which resulted in the evaluation of fourteen hypotheses. The results show that the technological features of a knowledge management system positively influence a user’s evaluation with limited influence from the system’s community features. The results produced a 58% coefficient of determination for knowledge management systems continuance intention and 37% for knowledge management systems continuance behavior. This investigation serves as a foundation for further research on the continuance usage of knowledge management systems. It addresses the needs of practitioners by examining which conditions they can manage to increase the purposeful use of their organizations’ knowledge management systems. The study also addresses the needs of academia by expanding the literature on continuance behavior of knowledge management systems.

scholarly journals Students’ Performance in Online Learning Environment: The Role of Task Technology Fit and Actual Usage of System During COVID-19

2021 ◽  
Vol 12 ◽  
Author(s):  
Sameera Butt ◽  
Asif Mahmood ◽  
Saima Saleem ◽  
Tayyiba Rashid ◽  
Amir Ikram
Keyword(s):  
Online Learning ◽  
User Satisfaction ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Information Systems Success ◽  
Actual Usage ◽  
Mediating Role ◽  
Task Technology Fit

The 2019 Pandemic has forced students to take online classes, increasing their stress levels and negatively impacting their academic performance. This issue urges the development of a mechanism to make online learning more effective in this nerve-racking time. Therefore, the present study has integrated the task technology fit (TTF) model and the DeLone and McLean Model of Information Systems Success (DMISM) to address the stated issue. The data were collected from 330 and 326 students of top-ranked public and private universities of Punjab, respectively. The theoretical framework was analyzed with the help of structural equation modeling (SEM) using Analysis of Moment Structures (AMOS). The findings indicate that overall quality positively predicts performance through the mediating role of user satisfaction and TTF. The overall quality also positively elevates performance through the mediating role of user satisfaction and actual usage of the system. Moreover, perceived usefulness proved to be a moderator between overall quality and user satisfaction. Finally, the expected practical and theoretical implications have also been discussed.

Enhancing knowledge sharing intention through the satisfactory context of continual service of knowledge management systems

2016 ◽  
Vol 29 (4) ◽  
pp. 807-829 ◽  
Author(s):  
Tse-Ping Dong ◽  
Chia-Liang Hung ◽  
Nai-Chang Cheng
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
User Satisfaction ◽  
Structural Equation ◽  
Cognitive Theory ◽  
Equation Model ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Is Success ◽  
Content Type

Purpose The purpose of this paper is to show how continual enhancement of knowledge management systems (KMSs) enhances knowledge sharing intention. Design/methodology/approach This study integrates information system (IS) success with social cognitive theory (SCT) to explain knowledge sharing intention. Based on a survey of 276 KMS users in Taiwan’s information technology industry, the structural equation model has been applied to examine the influence process from a user satisfactory context to personal cognitive beliefs, and thus knowledge sharing intention. Findings The results indicate that the user satisfactory context stimulated by continual KMS enhancement increases knowledge sharing intention through the mediation of personal cognition of self-efficacy and outcome expectancy. Practical implications The results have empirical implications for learning how to motivate developers’ patience and passion for follow-up improvements to meet user expectations empathically, which has been emphasized for service provision. Originality/value The originality of this research is its explanation of system adoption behavior, which combines the core of IS success with SCT, links user satisfaction to intention to use, and concerns behavior within a specific context.

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

E-Learning Service Delivery Quality

2013 ◽  
pp. 89-127 ◽  
Author(s):  
Ahmed Younis Alsabawy ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Service Delivery ◽  
User Satisfaction ◽  
Structural Equation ◽  
Critical Role ◽  
Learning Systems ◽  
Equation Modeling ◽  
Educational Institutions ◽  
E Learning ◽  
Electronic Channels

E-learning systems have received considerable attention from researchers, educational institutions, and organisations for their anticipated benefits. The objective of e-learning systems is to provide students with educational services via electronic channels. User dissatisfaction is considered the main issue facing universities in regards to e-learning systems. Service Delivery Quality (SDQ) can be deemed an essential concern for management and customers. This research investigates the role of SDQ on user satisfaction on two levels: the effect of SDQ on user satisfaction, and the effect of each sub-dimension of SDQ on user satisfaction. This paper reports on a study which surveyed 720 external students at an Australian university. The findings highlight the critical role of SDQ on user satisfaction. Based on the results of structural equation modeling and content analysis, a set of recommendations was formulated. The aim was to help improve service delivery quality, user satisfaction, and greater overall success of e-learning systems.

User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust

2014 ◽  
Vol 5 (3) ◽  
pp. 258-274 ◽  
Author(s):  
Muslim Amin ◽  
Sajad Rezaei ◽  
Maryam Abolghasemi
Keyword(s):  
Technology Acceptance ◽  
User Satisfaction ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Users ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
The Impact

Purpose – The purpose of the study is to investigate the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust on mobile website satisfaction. Design/methodology/approach – A total of 302 valid questionnaires were collected to empirically test the research model. Structural equation modeling (SEM) was performed to evaluate the reliability and validity of the measurement model and structural models. Findings – The results show that there is a positive relationship between PEOU, PU and mobile users’ satisfaction. PU is positively related to trust and mobile users’ satisfaction. Moreover, trust positively influences mobile users’ satisfaction. Practical implications – Drawing on the technology acceptance model and trust theory, this study develops and empirically examines a model for consumers’ satisfaction to use mobile services. This study contributes new insights concerning the marketing literature by examining the impact of PU, PEOU and trust on mobile users’ satisfaction. Originality/value – The contribution of the study is significant for both mobile marketers and academicians in the era of the third-generation environment. This study is among the first few attempts to integrate the TAM with trust to determine mobile user satisfaction.

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