scholarly journals Relationship Modeling of Critical Success Factors for Enhancing Sustainability and Performance in E-Learning

2018 ◽  
Vol 10 (12) ◽  
pp. 4776 ◽  
Author(s):  
Naim Ahmad ◽  
Noorulhasan Quadri ◽  
Mohamed Qureshi ◽  
Mohammad Alam
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Course Design ◽  
Learning System ◽  
Interpretive Structural Modeling ◽  
Micmac Analysis ◽  
Critical Success ◽  
E Learning ◽  
And Performance ◽  
Depth Interviews

E-learning, a technology-mediated learning approach, is a pervasively adopted teaching/learning mode for transferring knowledge. Some of the motivational factors for its wide adoption are time and location independence, user-friendliness, on-demand service, resource richness, and multi-media and technology driven factors. Achieving sustainability and performance in its delivery is of paramount importance. This research utilizes the critical success factors (CSFs) approach to identify the sustainable E-learning implementation model. Fifteen CSFs have been identified through the literature review, expert opinions, and in-depth interviews. These CSFs have been modeled for interdependence using interpretive structural modeling and Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement (MICMAC) analysis. Further, the model has been validated through in-depth interviews. The present research provides quantification of CSFs of E-learning in terms of their driving and dependence powers and their classification thorough MICMAC analysis. The E-learning system organizers may focus on improving upon the enablers such as organizational infrastructure readiness, efficient technology infrastructure, appropriate E-learning course design, course flexibility, understandable relevant content, stakeholders’ training, security, access control and privileges, commitment, and being user–friendly and well-organized, in order to enhance the sustainability and performance in E-learning. This study will also help E-learning stakeholders in relocating and prioritizing resources.

scholarly journals Identification and Prioritization of Critical Success Factors for Off-Site Construction Using ISM and MICMAC Analysis

2021 ◽  
Vol 13 (16) ◽  
pp. 8911
Author(s):  
Seoyoung Jung ◽  
Seulki Lee ◽  
Jungho Yu
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Interpretive Structural Modeling ◽  
Micmac Analysis ◽  
Critical Success ◽  
Management Measures ◽  
Proposed Model ◽  
Complex Relationships ◽  
Power And Dependence ◽  
The Relationship

Many studies have been conducted to define the critical success factors (CSFs) for off-site construction (OSC) activation, but there has been a lack of identification of the relationship with the identified CSFs. However, it is necessary to clearly identify the hierarchy and relationships with the success factors in order to develop specific strategies for OSC activation. This work presents a study that was conducted to identify the CSFs for OSCs and establish the relationships of the identified CSFs for OSC. First, 20 CSFs for OSCs were identified through prior study reviews related to CSFs for OSC. Next, the interpretive structural modeling (ISM), which has advantages in developing an understanding of complex relationships, was leveraged in order to analyze the relationships between 20 CSFs for OSC to derive a hierarchical model consisting of seven levels. The CSFs for OSC were classified into four groups using MICMAC analysis, which is useful for classifying factors by the strength of the relationship with factors based on driving power and dependence power. This proposed model can be used as a basis for developing management measures for OSC project success.

scholarly journals E-Learning Critical Success Factors during the COVID-19 Pandemic: A Comprehensive Analysis of E-Learning Managerial Perspectives

2020 ◽  
Vol 10 (9) ◽  
pp. 216 ◽  
Author(s):  
Ammar Y. Alqahtani ◽  
Albraa A. Rajkhan
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Educational Institution ◽  
Educational Process ◽  
Learning Systems ◽  
Learning System ◽  
Educational Institutions ◽  
Process Data ◽  
Critical Success ◽  
E Learning

During the COVID-19 pandemic, educational institutions were shut down all over the world, which impacted over 60% of students and caused a massive disruption of the education system. The goal of this paper was to identify the critical success factors for E-learning during COVID-19 using the multi-criteria Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) techniques to enhance the educational process. Data were generated by interviewing 69 E-learning managers in educational institutions during COVID-19 based on defined evaluation criteria and E-learning approaches through several channels. We found that technology management, support from management, increased student awareness to use E-learning systems, and demanding a high level of information technology from instructors, students, and universities were the most influential factors for E-learning during COVID-19. Among the five learning systems, blended learning was the most suitable learning system to practice. These results demonstrated that, regardless of how extraordinary the technology is in an educational institution, the readiness of E-learning execution played a large role in boosting the educational process during the COVID-19 pandemic.

scholarly journals Designing Effective E-Learning Framework for Higher Education: Critical Success Factors

2016 ◽  
pp. 134-152
Author(s):  
Naveed Sultana Et al.,
Keyword(s):  
Higher Education ◽  
Teaching And Learning ◽  
Critical Success Factors ◽  
Success Factors ◽  
Higher Education Institutions ◽  
Learning System ◽  
Technological Infrastructure ◽  
Learning Framework ◽  
Critical Success ◽  
E Learning

The progression of digital technologies and eruption of web incorporation into education proffers a novel trend for higher education institutions to establish web-based environments for teaching and learning. E-learning has become an imperative means for establishing the innovative learning environment for Higher Education in the digital age by offering new flexible learning methods. E-learning is promptly occurring as educational means in Pakistan as in the other global areas, hence utilizing web technologies for the provision of learning in higher education institutions which illustrate the sample acceptance of E-learning system in Pakistani higher education. For establishing E-learning systems, the higher education institutions are required to take broader initiatives for technological infrastructure at higher education institutions. However, a number of factors need serious consideration while designing a successful E-learning framework. The current study aims to determine the CSF (critical success factors) for designing E-learning framework for HEIs (higher education institutions) of Pakistan. Eight studies, already carried out by different researchers providing factors of E-learning framework in varied contexts, were systematically reviewed for deriving critical success factors for E-learning design for higher education institutions of Pakistan. This paper presents an analysis of factors which impact the designing of successful E-learning framework/structure in higher education. Based upon the emphasis in greater chunks of the literature resources, five main classes of factors were considered to be critical by the authors for the successful design of E-learning framework. Conclusively, the five factors i.e. pedagogical factors, technological factors, institutional factors, Design factors and behavioral factors were derived as critical for an effective design of E-learning system. These critical success factors are the main areas of activity that must receive constant and careful attention from the management of Higher Education Institutions (HEIs) while planning to design E-learning framework for their institution.

scholarly journals AN ASSESSMENT AND MODELING OF CRITICAL SUCCESS FACTORS OF INDIAN AGRICULTURE USING INTERPRETIVE STRUCTURAL MODELLING AND MICMAC ANALYSIS

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Bhavesh Dave ◽  
Dr. Vijay Kumar Sukhwani
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Structural Modelling ◽  
Interpretive Structural Modeling ◽  
Independent Variables ◽  
Micmac Analysis ◽  
Critical Success ◽  
Indian Agriculture ◽  
Road Map ◽  
Expert’S Opinion

— The aim of this paper is to analyse the most practiced Critical Success Factors (CSFs) for Indian agriculture. India is an agricultural country. Approximately three-fourth population of India is primarily dependent on agriculture for their livelihood. Therefore, any improvement in agriculture can provide impetus to Indian economy. The success of this approach is rooted on the understanding of different enablers of Indian agriculture. The most commonly accepted CSFs for Indian agriculture were indentified from the literature. Then by agricultural expert’s opinion, interactions among those CSFs have been studied using Interpretive Structural Modeling (ISM). The findings through MICMAC analysis implied that most of the CSFs are classified as linkage variables and remaining are classified as Independent variables. The developed model provides a road map that assists practitioners to understand the process through which CSFs are practiced in a certain enterprise.

scholarly journals Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0231465 ◽  
Author(s):  
Quadri Noorulhasan Naveed ◽  
Mohamed Rafik Noor Qureshi ◽  
Nasser Tairan ◽  
AbdulHafeez Mohammad ◽  
Asadullah Shaikh ◽  
...  
Keyword(s):  
Decision Making ◽  
Critical Success Factors ◽  
Success Factors ◽  
Learning System ◽  
Multi Criteria Decision Making ◽  
Critical Success ◽  
E Learning

Governing Information Technology through COBIT

2011 ◽  
pp. 269-309 ◽  
Author(s):  
Erik Guldentops
Keyword(s):  
Information Technology ◽  
Critical Success Factors ◽  
Success Factors ◽  
It Governance ◽  
Governance Structure ◽  
Executive Management ◽  
Maturity Models ◽  
Management Guidelines ◽  
Critical Success ◽  
And Performance

Board oversight of information technology has not kept pace with the rapid growth of IT as a critical driver of business success. However, this is shortsighted, since effective governance over IT Governance protects shareholder value; makes clear that IT risks are quantified and understood; directs and controls IT investment, opportunity, benefits and risks; aligns IT with the business while accepting IT as a critical input to and component of the strategic plan; sustains current operations and prepares for the future; and is an integral part of a global governance structure. Like most other governance activities, IT Governance engages both board and executive management. Among the board’s responsibilities are reviewing and guiding corporate strategy, setting and monitoring achievement of management’s performance objectives, and ensuring the integrity of the organisation’s systems. Management’s focus is generally on cost-efficiency, revenue enhancement and building capabilities, all of which are enabled by information, knowledge and the IT infrastructure. The four main focus areas for IT Governance are driven by stakeholder value. Two are outcomes: value delivery and risk mitigation. Two are drivers: strategic alignment and performance measurement. Action plans for implementing effective IT Governance, from both a board and an executive management point of view, consist of activities, outcome measures, best practices, critical success factors and performance drivers. In addition, organisations must assess how well they are currently performing and be able to identify where and how improvements can be made. The use of maturity models simplifies this task and provides a pragmatic, structured approach for measurement. Control Objectives for Information and related Technology (COBIT), a third edition of which was issued by the IT Governance Institute in 2000, incorporates material on IT Governance and a Management Guidelines component. COBIT presents an international and generally accepted IT control framework enabling organisations to implement an IT Governance structure throughout the enterprise. The Management Guidelines consist of maturity models, critical success factors, key goal indicators and key performance indicators. This structure delivers a significantly improved framework responding to management’s need for control and measurability of IT by providing tools to assess and measure the organisation’s IT environment against COBIT’s 34 IT processes.

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