scholarly journals SmartISM: Implementation and Assessment of Interpretive Structural Modeling

2021 ◽  
Vol 13 (16) ◽  
pp. 8801
Author(s):  
Naim Ahmad ◽  
Ayman Qahmash
Keyword(s):  
Scoping Review ◽  
Success Factors ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Specific Domain ◽  
Final Model ◽  
Critical Success ◽  
Visual Basic For Applications ◽  
Correct Application

Interpretive Structural Modeling (ISM) is a technique to establish the interrelationships between elements of interest in a specific domain through experts’ knowledge of the context of the elements. This technique has been applied in numerous domains and the list continues to grow due to its simplistic concept, while sustainability has taken the lead. The partially automated or manual application of this technique has been prone to errors as witnessed in the literature due to a series of mathematical steps of higher-order computing complexity. Therefore, this work proposes to develop an end-to-end graphical software, SmartISM, to implement ISM technique and MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)), generally applied along with ISM to classify variables. Further, a scoping review has been conducted to study the applications of ISM in the previous studies using Denyer and Tranfield’s (2009) framework and newly developed SmartISM. For the development of SmartISM, Microsoft Excel software has been used, and relevant algorithms and VBA (Visual Basic for Applications) functions have been illustrated. For the transitivity calculation the Warshall algorithm has been used and a new algorithm reduced conical matrix has been introduced to remove edges while retaining the reachability of variables and structure of digraph in the final model. The scoping review results demonstrate 21 different domains such as sustainability, supply chain and logistics, information technology, energy, human resource, marketing, and operations among others; numerous types of constructs such as enablers, barriers, critical success factors, strategies, practices, among others, and their numbers varied from 5 to 32; number of decision makers ranged between 2 to 120 with a median value of 11, and belong to academia, industry, and/or government; and usage of multiple techniques of discourse and survey for decision making and data collection. Furthermore, the SmartISM reproduced results show that only 29 out of 77 studies selected have a correct application of ISM after discounting the generalized transitivity incorporation. The outcome of this work will help in more informed applications of this technique in newer domains and utilization of SmartISM to efficiently model the interrelationships among variables.

A TISM modeling of critical success factors of smartphone manufacturing ecosystem in India

2016 ◽  
Vol 13 (2) ◽  
pp. 203-224 ◽  
Author(s):  
J Jena ◽  
Vijayta Fulzele ◽  
Rachita Gupta ◽  
Fahima Sherwani ◽  
Ravi Shankar ◽  
...  
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Matrix Multiplication ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Hierarchical Framework ◽  
Critical Success ◽  
Expert Opinions ◽  
Relevant Factors

Purpose – The purpose of this paper is to identify and analyze various critical success factors (CSFs) that can facilitate smartphone manufacturing in India. This paper further aims to understand the mutual interactions among these CSFs through identification of the hierarchical relationships among them. Design/methodology/approach – A framework for a smartphone manufacturing system has been developed, wherein the hierarchical inter-relationships between identified CSFs have been presented and interpreted using total interpretive structural modeling (TISM). Cross-impact matrix multiplication applied to classification analysis has been further employed to identify the driving power as well as dependence power of these CSFs. Findings – In the present research, 15 CSFs have been identified through literature review and expert opinions. The hierarchical framework developed using TISM has revealed the inter-dependencies among these CSFs. This research further categorizes CSFs into three clusters. The first cluster comprises of CSFs having high dependence power, the second cluster identifies CSFs having high driving power and the third cluster identifies CSFs which act as linkages between the driver CSFs and dependent CSFs. Research limitations/implications – This study has implications for both practitioners and academia. It provides a comprehensive list of CSFs that are relevant to develop a smartphone ecosystem in India. In addition, this study will help decision makers to strategically focus on the main drivers of the ecosystem that requires the immediate attention of decision makers. The methodology employed in this study provides a mechanism to conduct an exploratory study by identifying the factors and analyzing their interactions through the development of a hierarchical framework. Originality/value – The proposed framework developed through qualitative modeling is an effort to understand relevant factors that can promote the smartphone manufacturing ecosystem. This study makes a significant contribution in the literature of smartphone manufacturing, which captures the perspective of different stakeholders.

scholarly journals A novel approach to identify the best practices of quality management in SMES based on critical success factors using interpretive structural modeling (ISM)

2018 ◽  
Vol 7 (3.29) ◽  
pp. 130 ◽  
Author(s):  
Satyabrata Aich ◽  
Kamalakanta Muduli ◽  
Md Mehedi Hassan Onik ◽  
Hee Cheol Kim
Keyword(s):  
Information Technology ◽  
Quality Management ◽  
Critical Success Factors ◽  
Success Factors ◽  
Structural Modeling ◽  
Success Factor ◽  
Business Practices ◽  
Total Quality ◽  
Interpretive Structural Modeling ◽  
Critical Success

In recent years, most small and medium scale enterprises (SMEs) worldwide looking for improvement in their business practices in order to gain competitive advantage and total quality management(TQM) as a means by which SMEs could achieve the desired result. The objective of this study is to discover the critical success factors that are affecting the quality management practices in SMEs. In this work eight factors were identified through the literature review and experts from academic as well as industries. The factors are commitment to quality, employee involvement, customer focus, information technology, improved production planning and control, recognition system, supplier quality management, and management vision and mission. Interpretive structural modeling(ISM) is used to understand the complex relationships among the factors and classify the factors into various categories as per the driving and the dependence capacity. The result shows that information technology (IT) is a key success factor for implementing TQM in SMEs. It is observed that SMEs have to increase the use of IT to improve the quality of the product and productivity.  

Interpretive Structural Modeling of Critical Success Factors for Implementing Green Process Innovation in Manufacturing Enterprises

2011 ◽  
Vol 361-363 ◽  
pp. 1026-1029 ◽  
Author(s):  
Ke Xin Bi ◽  
Hui Zi Ma ◽  
Wan Hong Li
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Structural Modeling ◽  
Process Innovation ◽  
Successful Implementation ◽  
Green Process ◽  
Interpretive Structural Modeling ◽  
Manufacturing Enterprises ◽  
Critical Success ◽  
Green Process Innovation

Green process innovation is innovating manufacturing technology, process or organization management in an environment-friendly, energy-efficient and low-carbon way. 10 main factors that affect the successful implementation of green process innovation in manufacturing enterprises were categorized into TOE framework. Interrelationships of those critical success factors were structured by interpretive structural modeling, the results of which illustrated the influential structure for implementing green process innovation successfully, and could provide a systematic structure for managers and researchers that commit to the development of green process innovation.

Critical success factors for next generation technical education institutions

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Smita Kashiramka ◽  
Mahim Sagar ◽  
Amlendu Kumar Dubey ◽  
Amit Mehndiratta ◽  
Sushil Sushil
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Technical Education ◽  
Research Output ◽  
Structural Modeling ◽  
Next Generation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Amplification Factors ◽  
Critical Success

Purpose The purpose of this paper is to create a hierarchy of critical success factors affecting the higher technical education institutions, taking a case study of India. Using total interpretive structural modeling (TISM), the paper attempts to establish the inter-linkages among ten critical success factors for enhancing the performance of these institutions. Design/methodology/approach The paper employs Total Interpretive Structural Modeling (TISM) to understand the hierarchy of the factors and their interplay using response from 18 experts in the domain. Findings The findings reveal that autonomy and accountability coupled with availability of sustainable funds are the driving factors for the success of the institutions. Infrastructural facilities and establishment of centers of excellence act as amplification factors. Introduction of new programs and their accreditation, improvement in faculty quality, research output and improvement in performance of academically weak students emerge as process factors that drive the output factors, namely, academic performance and student placement. Research limitations/implications The major limitation of this study is the scope that was limited to 191 institutions, as mandated in the project. Practical implications This study has important implications for the institutions as well as the policy makers to channelize their focus and efforts on driving and amplification factors that would ultimately lead to enhanced performance of the next generation higher technical education institutions. Originality/value This paper is a part of pan India project carried out to assess the performance of higher technical education institutions in India.

Novel Data Interface for Evaluating Cardiovascular Outcomes in Women

2011 ◽  
pp. 2094-2113
Author(s):  
Amparo C. Villablanca ◽  
Hassan Baxi ◽  
Kent Anderson
Keyword(s):  
Clinical Data ◽  
Success Factors ◽  
Data Transfer ◽  
Cardiovascular Outcomes ◽  
Lessons Learned ◽  
High Risk Women ◽  
Critical Success ◽  
Visual Basic For Applications ◽  
Extensible Markup ◽  
User Friendly

This chapter discusses critical success factors in the design, implementation, and utility of a new construct and interface for data transfer with broad applicability to clinical data set management. In the context of a data coordinating center for evaluating cardiovascular outcomes in high-risk women, we detail and provide a framework for bridging the gap between extensible markup language (XML) and XML schema definition file (XSD) in order to provide greater accessibility using visual basic for applications (VBA) and Excel. Applications and lessons learned are discussed in light of current challenges to healthcare information technology management and clinical data administration. The authors hope that this approach, as well as the logic utilized and implementation examples, will provide a user-friendly model for data management and relational database design that is replicable, flexible, understandable, and has broad utility to research professionals in healthcare.

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.

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