scholarly journals Organizational factors’ effects on the success of e-learning systems and organizational benefits: An empirical study in Taiwan

2012 ◽  
Vol 13 (4) ◽  
pp. 130 ◽  
Author(s):  
Ying Chieh Liu ◽  
Yu-An Huang ◽  
Chad Lin
Keyword(s):  
Organizational Factors ◽  
Learning Systems ◽  
Management Support ◽  
System Quality ◽  
Is Success ◽  
Top Management Support ◽  
Organizational Benefits ◽  
System Service ◽  
Success Model ◽  
E Learning

<p>E-learning development for enterprises is still in its infancy in that scholars are still working on identifying the critical success factors for e-learning in organizational contexts. This study presents a framework considering how organizational factors affect the quality and service of e-learning systems and how these factors influence organizational benefits in the view of IS success model and resource-based theory. A questionnaire survey of 120 Taiwanese companies was performed to validate the framework. The results show that top management support, information security policy, and institutional policy are positively related to system quality, while top management support, organizational learning culture, and institutional policy are positively related to system service. Additionally, system service is significantly related to organizational benefits. Our model provides two novel aspects of e-learning study. Firstly, we extend IS success model by incorporating four organizational factors as antecedences influencing system quality and system service. Secondly, the model is framed and examined on an organizational level, which provides a top-down view for managers when designing and implementing e-learning systems in the organizational context.</p>

Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention

2014 ◽  
Vol 27 (3) ◽  
pp. 230-258 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Information Quality ◽  
Support Service ◽  
Learning System ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Delone And Mclean ◽  
Success Model ◽  
E Learning

Purpose – The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system. Design/methodology/approach – Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling. Findings – Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning system, and this in turn leads to their continued system usage intention. Originality/value – First, the application of the ECM with the view of updated DeLone and McLean IS success model reveals deep insights into quality evaluation (including information quality, system quality, and support service quality) in the field of nurses’ e-learning continuance intention. Especially, this study additionally contributes to the identification of instructor quality that may lead to nurses’ continued blended e-learning usage intention. Next, the empirical evidence on capturing both extrinsic motivator (i.e. PU) and intrinsic motivator (i.e. flow) for completely explaining quality antecedents of nurses’ blended e-learning continuance intention is well documented.

scholarly journals Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model

2021 ◽  
Vol 13 (15) ◽  
pp. 8365
Author(s):  
Yogi Tri Prasetyo ◽  
Ardvin Kester S. Ong ◽  
Giero Krissianne Frances Concepcion ◽  
Francheska Mikaela B. Navata ◽  
Raphael Andrei V. Robles ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Information Quality ◽  
Ease Of Use ◽  
System Quality ◽  
Is Success ◽  
Success Model ◽  
Actual Use ◽  
E Learning ◽  
Learning Platforms ◽  
Acceptance Model

Online meeting platforms have been widely utilized during the COVID-19 pandemic due to the current shift from traditional learning. However, the acceptance of the different online meeting platforms for e-learning has been underexplored. The purpose of this study was to determine the factors for acceptance of an online learning platform among students during the COVID-19 pandemic. A total of 500 senior high school students voluntarily participated to answer constructs under the Extended Technology Acceptance Model (ETAM) and Delone and McLean IS Success Model. Several latent including user interface (UI), perceived ease of use (PEU), perceived usefulness (PU), information quality (IQ), system quality (SQ), behavioral intentions (BI), and actual use were analyzed by Structural Equation Modeling (SEM). The results indicated that PEU was found to have the greatest on actual use (AU), followed by UI and SQ towards PEU, which subsequently led to BI and AU. Finally, IQ was found to have a significant effect on PU, which led to BI and AU. The level of student acceptability considers the ease of use, user interface, system quality, information quality, leading to a positive behavioral intention for actual use. With that, it would be of best interest to consider the factors that would lead students towards accepting the platforms utilized and therefore the current education system. Moreover, this will lead to their acceptance and promote learning even with the COVID-19 pandemic. Finally, the model construct can be applied and utilized to analyze the online learning platforms in other countries.

Ranking Organizational Factors Influencing the Success of Information Systems using AHP

2013 ◽  
Vol 3 (2) ◽  
pp. 55-65
Author(s):  
Hassan Farsijani ◽  
Reza Sepahvand ◽  
Mohsen Arefnejad ◽  
Mohsen Shafiei Nikabadi
Keyword(s):  
Information System ◽  
Information Systems ◽  
User Satisfaction ◽  
Success Factors ◽  
Organizational Factors ◽  
Management Style ◽  
Top Management ◽  
Management Support ◽  
System Quality ◽  
Top Management Support

Decisions in today's competitive and turbulent environments without access to information can confuse managers. The information system, which is planning, design and deployment as efficient and effective way, can help to improve the organization and create competitive advantages. One of the success factors and effectiveness of information systems in organizations is the organizational factors. In this research, organizational factors such as top management support, resource allocation, decision-making structure, management style and alignment of goals and knowledge of IT management, that affects the success factors of information systems (System quality, user satisfaction, perceived usefulness and quality of information), were analyzed and prioritized by Analytic Hierarchy Process (AHP) in Industries and Mines Organization of Isfahan Province. After gathering information and analysis them by using the Expert Choice, it was found that among success factors of information systems, and user satisfaction is the most important factor and the most important factor affecting success of organizational information system is the top management support.

EFFECT OF TOP MANAGEMENT SUPPORT, SYSTEM QUALITY, AND INFORMATION QUALITY ON SATISFACTION ACCOUNTING INFORMATION SYSTEM USERS IN LEMBAGA PERKREDITAN DESA (LPD) IN UBUD DISTRICT

2019 ◽  
Vol 1 (1) ◽  
pp. 123-142
Author(s):  
Sang Ayu Putu Arie Indraswarawati ◽  
I Putu Deddy Samtika Putra ◽  
Ni Wayan Cahyani
Keyword(s):  
Information System ◽  
Support System ◽  
User Satisfaction ◽  
Information Quality ◽  
Accounting Information ◽  
Top Management ◽  
Management Support ◽  
System Quality ◽  
Accounting Information System ◽  
Top Management Support

The use of Accounting Information System (AIS) is very helpful in accommodating all the information needed to make an accurate decision. Indicators in determining the good and bad performance of an information system can be seen through AIS user satisfaction and usage. The purpose of this study was to determine the effect of top management support, system quality and information quality on AIS user satisfaction. The sample selection method used was purposive sampling. The research sample was 147 people consisting of administrators, loan officers and savings at 29 Lembaga Perkreditan Desa (LPD) in Ubud Subdistrict. The data in this study is primary data which is the answer from the questionnaire. The regression results show that all variables have a significance of 0,000. It shows that top management support, system quality and information quality have positive influences on Accounting Information System user satisfaction.

Developing human resource for the digitization of logistics operations: readiness index framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anchal Gupta ◽  
Rajesh Kr Singh ◽  
Shivam Gupta
Keyword(s):  
Fuzzy Ahp ◽  
Organizational Factors ◽  
Organization Culture ◽  
Management Support ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Top Management Support ◽  
Logistics Company ◽  
The Right ◽  
Hierarchy Process

PurposeThe purpose of this study is to identify factors that are important for logistics organizations from the perspective of manpower readiness for digitization of logistics operations. The study also prioritizes the identified factors and also evaluates the readiness index of manpower for the digitalization of logistics processes.Design/methodology/approachThe factors for manpower readiness are identified through literature review and analysis of a case study. Three major categories of factors are identified. These are organizational, behavioural and technological factors. Under these three major categories of factors, 18 sub-factors are identified. Thereafter, with experts' inputs, the factors are prioritized using Fuzzy analytic hierarchy process (AHP). Further, a case illustration of an Indian logistics company has been taken to understand the current processes, technical capabilities, manpower skills and organization culture. After the case analysis and expert inputs, the manpower readiness index has been evaluated by using graph theory matrix approach (GTMA).FindingsThe prioritization of manpower readiness factors has been done using Fuzzy AHP. Organizational factors are found to be the most important factors which require quick attention. Sub-factors that are most important for building competencies in the logistics sector are providing the right training on functional skill development (0.129), top management support and commitment for digitalization (0.117), and organizational culture for process digitalization (0.114), etc. Finally, framework for evaluation of manpower readiness index for logistics operations in the digital age has been illustrated for a case company.Practical implicationsIndian logistics companies can benchmark their readiness index with respect to the best in the industry. Based on the readiness index, logistics companies can analyse their position, gaps from best and worst and can also identify potential areas for improvement.Originality/valueThe novelty of the study lies in the development of a framework for manpower readiness for digitalization in the logistics sector. In literature, this field is very less researched and provides the scope for developing strategies for improving manpower competencies for Industry 4.0. Logistics companies can improve their performance by making their manpower ready based on results obtained for readiness index.

A hybrid model for exploring the antecedents of cloud ERP continuance

2019 ◽  
Vol 15 (2) ◽  
pp. 215-235 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Hybrid Model ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model

Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

Understanding Social Capital on Mobile SNS- An IS Success Model Perspective

2018 ◽  
Vol 10 (4) ◽  
pp. 1-17
Author(s):  
Zuoning Xu ◽  
Tao Zhou
Keyword(s):  
Social Capital ◽  
Information Quality ◽  
Service Providers ◽  
System Quality ◽  
Is Success ◽  
Is Success Model ◽  
Structural Capital ◽  
Success Model ◽  
The Social ◽  
Mobile Sns

The social capital embedded within the social network relationships among users may facilitate their continued usage of mobile SNS. However, how to develop social capital remains a question. In this article, the authors incorporated three factors of system quality, information quality, and service quality from the information systems (IS) success model to examine their effects on social capital in mobile SNS. The results indicate that these three factors have significant effects on social capital, which includes structural capital, relational capital, and cognitive capital. The results imply that service providers need to improve users' technological perceptions in order to develop social capital and facilitate their continuance of mobile SNS.

A model for assessing blog-based learning systems success

2014 ◽  
Vol 38 (7) ◽  
pp. 969-990 ◽  
Author(s):  
Yi-Shun Wang ◽  
Hsien-Ta Li ◽  
Ci-Rong Li ◽  
Chian Wang
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Learning Systems ◽  
Learning Performance ◽  
System Quality ◽  
Content Type ◽  
Content Quality ◽  
Success Model ◽  
System Use ◽  
Linkage Quality

Purpose – Based on previous information systems/educational technology success models, the purpose of this paper is to establish a comprehensive, multidimensional model for assessing blog-based learning systems success. Design/methodology/approach – Data collected from 240 blog-based learning systems users in the context of higher education were tested against the model using the structural equation modelling approach. Findings – The results indicate the interrelationships between six system success variables: system quality, content quality, context and linkage quality, user satisfaction, system use, and learning performance. In particular, this study confirms that quality attributes positively affect user satisfaction, which in turn positively influences learning performance directly or indirectly through the mediation of system use. Originality/value – This study is a pioneering effort to develop and validate a blog-based learning systems success model.

DETERMINAN KEPUASAN PENGGUNA AKHIR APLIKASI ERP FREE OPEN SOURCE ADEMPIERE PADA USAHA KECIL MENENGAH: STUDI KASUS PADA UKM BLESSINGS

2016 ◽  
Vol 12 (2) ◽  
pp. 111
Author(s):  
Dionysia Kowanda ◽  
Muhammad Firdaus ◽  
Rowland Bismark Fernando Pasaribu
Keyword(s):  
Information System ◽  
Open Source ◽  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Top Management ◽  
Management Support ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Top Management Support

In a small-sized to big-sized company, evaluate the information system success is essential, yet notalways been seamless. Successful implementation of a system can be indicated by measuring its usersatisfaction. This study aims to measure Adempiere ERP Open Source end-user satisfaction atBlessings SME’s. This study employs three variables from The Updated DeLone and McLean Information System Success (2003), namely information system quality, information quality, andservice quality, and two variables from Technology Acceptance Model (TAM) as well, namely perceived usefulness and perceived ease of use, and also takes top management support as another consideration. Data were collected by distributing questionnaires to the respondents directly concerned. The findings showed that information quality, perceived usefulness, perceived ease of use, and top management support have significant positive impact to Adempiere ERP Open Source enduser satisfaction, whereas information system quality and service quality have positive impact but not significantly.Keywords: Small-Medium Enterprises, information system quality, information quality, servicequality, perceived usefulness, perceived ease of use, top management support, end usersatisfaction, information system

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