scholarly journals Structural Modeling on the Determinants of Effectiveness of SOPs Containing COVID-19 in Mass Gatherings

2021 ◽  
Vol 12 ◽  
Author(s):  
Abdul Basit ◽  
Miklas Scholz ◽  
Abdul Aziz Khan Niazi ◽  
Tehmina Fiaz Qazi ◽  
Muhammad Zeeshan Shaukat ◽  
...  
Keyword(s):  
Literature Review ◽  
Structural Model ◽  
A Priori ◽  
Real Data ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Critical Determinant ◽  
Modeling And Analysis ◽  
Mass Gatherings ◽  
Perceived Benefit

The study is aimed to analyze the determinants of the effectiveness of SOPs in mass gatherings for containing COVID-19. The overall design of the study involves a literature review, data collection by field survey, structural modeling, and analysis. The study is built on the experts' opinion of a focus group (representing people who recently participated in and are responsible for mass gatherings). The study uses the discussion of the literature review to identify the determinants, interpretive structural modeling (ISM) for developing and analyzing a structural model, and Matrice d'Impacts Croises Multiplication Appliquée a un Classement (MICMAC) for corroboration of results of the ISM/classification of determinants. From the literature review, a list of determinants is generated and verified by a panel of experts. The results of the ISM revealed that the determinants “legal environment of the country,” “practicability of SOPs,” “perceived benefit of adapting SOPs,” and “possibilities of avoiding gathering” occupied the top of the model, therefore, they are less critical determinants, whereas “nature of gathering” occupied the bottom of the model, and is thus the most critical determinant. The remaining determinants form the middle of the model, and are therefore moderately severe. The results of MICMAC show that the determinant “perceived benefit of adapting SOPs” is dependent, “nature of gathering” is independent, and all others are linked. The results of MICMAC implicitly substantiate the findings of the ISM. The overall results of the study show that “nature of gathering” is the key determinant. This research does not require a priori theory since it is a theory-building study that uses an inductive approach. It is based on real data and it is useful for local authorities, organizers, participants (attendees/visitors) of mass gatherings, health officials/regulators, researchers, and the community at large. This study has fundamental importance for planning and preparing for such events while ensuring the minimum risk of COVID-19 transmission.

Interpretive Structural Modeling of GIoT enablers

2020 ◽  
Vol 13 (2) ◽  
pp. 129-140
Author(s):  
Pooja Gupta ◽  
Vijay Kumar Jain
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Literature Review ◽  
Structural Model ◽  
Structural Modeling ◽  
Smart Objects ◽  
Interpretive Structural Modeling ◽  
Adoption Of Technology ◽  
Research Article ◽  
Power And Dependence

Recent emerging developments and enthusiastic adoption of technology are leading towards a smarter world but have also led to an increase in carbon traces. The Green Internet of Things (G-IoT) has been widely promoted as a strategy to make environment greener, safer and more sustainable. The authors investigate and discuss different enabling technologies (smart objects, ICT, Cloud Computing, etc.) that can be cleverly deployed to attain G-IoT. This research article is an effort to build a structural model of different enablers, vital to implement G-IoT. An array of enablers of G-IoT accomplishment has been recognized from literature review and experts' opinions. After a number of brainstorming sessions, contextual relationships have been identified among these enablers. In addition to this, enablers have been categorized based upon the driving power and dependence. Further, a structural model of G-IoT enablers has also been developed by means of Interpretive Structural Modeling (ISM) procedure. A total of nine enablers have been acknowledged from the literature and experts' opinions.

scholarly journals Factors Affecting the Lut Desert Tourism in Iran: Developing an Interpretive-Structural Model

2021 ◽  
Vol 13 (13) ◽  
pp. 7245
Author(s):  
Beniamino Murgante ◽  
Mohammad Eskandari Sani ◽  
Sara Pishgahi ◽  
Moslem Zarghamfard ◽  
Fatemeh Kahaki
Keyword(s):  
Sampling Method ◽  
Structural Model ◽  
Tourism Development ◽  
Cost Effective ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Interpretive Structural Model ◽  
Lut Desert

The Lut desert is one of the largest and most attractive deserts in Iran. The value of desert tourism remains unclear for Iran’s economy and has only recently been taken into consideration by the authorities, although its true national and international value remains unclear. This study was aimed at investigating the factors that influence tourism development in the Lut desert. Data collected through the purposive sampling method was analyzed using Interpretive Structural Modeling and the MICMAC Analysis. According to the results, cost-effective travel expenses, security, and safety provided in the desert, together with appropriate media advertising and illustration of the Lut desert (branding) are the leading factors that influence tourism in the Lut desert in Iran. This paper highlighted the importance of desert tourism, especially in this region.

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

scholarly journals Structural Modeling and Analysis of Pregnancy-Associated Glycoprotein-1 of Buffalo (Bubalus bubalis)

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Jerome Andonissamy ◽  
S. K. Singh ◽  
S. K. Agarwal
Keyword(s):  
Protein Structure ◽  
Active Sites ◽  
Structural Model ◽  
Protein Structures ◽  
Structural Modeling ◽  
Bubalus Bubalis ◽  
High Energy ◽  
Docking Studies ◽  
Modeling And Analysis ◽  
Structural Conformity

The present study was conducted to design and analyze the structural model of buffalo pregnancy-associated glycoprotein-1 (PAG-1) using bioinformatics. Structural modeling of the deduced buffalo PAG-1 protein was done using PHYRE, CONSURF servers and its structure was subsequently constructed using MODELLER 9.9 and PyMOL softwares Buffalo PAG-1 structural conformity was analyzed using PROSA, WHATIF, and 3D-PSSM servers. Designed buffalo PAG-1 protein structure on BLAST analysis retrieved protein structures belonging to aspartic proteinase family. Moreover in silico analysis revealed buffalo PAG-1 protein retained bilobed structure with pepstatin-binding clefts near the active sites by docking studies with pepstatin A using PatchDock server. Structural studies revealed that the amino and carboxy terminal containing aspartic residues are highly conserved and buried within the protein structure. Structural conformity studies showed that more than 90% of the residues lie inside favored and allowed regions. It was also deduced that buffalo PAG-1 possesses low and high energy zones with a very low threshold for proteolysis ascertaining the stableness of the buffalo PAG-1 protein structure. This study depicts the structural conformity and stability of buffalo PAG-1 protein.

Understanding determinants of social networking service fatigue: an interpretive structural modeling approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lin Xiao ◽  
Ting Pan ◽  
Jian Mou ◽  
Lihua Huang
Keyword(s):  
Social Networking ◽  
Impression Management ◽  
Structural Model ◽  
Structural Modeling ◽  
Extensive Literature ◽  
Privacy Concern ◽  
Social Networking Service ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Factors Influencing

PurposeThe purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.Design/methodology/approachA total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.FindingsThe results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.Originality/valueThis study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.

Application of total interpretive structural modeling for analyzing factors of additive manufacturing and industry 4.0 integration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vishal Ashok Wankhede ◽  
Vinodh S.
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Structural Model ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Influential Factors ◽  
Time Data ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis

Purpose The purpose of this paper is to develop a model based on the total interpretive structural modeling (TISM) approach for analysis of factors of additive manufacturing (AM) and industry 4.0 (I4.0) integration. Design/methodology/approach AM integration with I4.0 is attributed due to various reasons such as developing complex shapes with good quality, real-time data analysis, augmented reality and decentralized production. To enable the integration of AM and I4.0, a structural model is to be developed. TISM technique is used as a solution methodology. TISM approach supports establishing a contextual relationship-based structural model to recognize the influential factors. Cross-impact matrix multiplication applied to classification (MICMAC) analysis has been used to validate the TISM model and to explore the driving and dependence power of each factor. Findings The derived structural model indicated the dominant factors to be focused on. Dominant factors include sensor integration (F9), resolution (F12), small build volumes (F19), internet of things and lead time (F14). MICMAC analysis showed the number of driving, dependent, linkage and autonomous factors as 3, 2, 12 and 3, respectively. Research limitations/implications In the present study, 20 factors are considered. In the future, additional factors could be considered based on advancements in I4.0 technologies. Practical implications The study has practical relevance as it had been conducted based on inputs from industry practitioners. The industry decision-makers and practitioners may use the developed TISM model to understand the inter-relationship among the factors to take appropriate measures before adoption. Originality/value The study on developing a structural model for analysis of factors influencing AM and I4.0 is the original contribution of the authors.

Fuzzy Structural Models and Based Applications in Digital Marketplace

2018 ◽  
pp. 703-714 ◽  
Author(s):  
Anil Kumar ◽  
Manoj Kumar Dash
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Mathematical Formulation ◽  
Structural Models ◽  
Structural Modeling ◽  
Multi Criteria Decision Making ◽  
Interpretive Structural Modeling

One of the well-known topics of decision making is Multi-Criteria Decision Making (MCDM). Fuzzy set theory helps to provide a useful way to address a MCDM problem. Without models, MCDM methods cannot be practiced effectively, therefore, it is interesting to clarify the structure among criteria. But the shortcoming of MCDM is unable to capture imprecision or vagueness inherent in the information. Fuzzy set theory has great potential to handle such situations and fuzzy structural models have been developed. In this chapter widely used structural models i.e. Interpretive Structural Modeling (ISM), Decision Making Trial and Evaluation Laboratory (DEMATEL), and Cognition Maps (CMs) are first summarized briefly along with their mathematical formulation and then diffusion these models into fuzzy set theory is explained along with a literature review of the based applications of these models in the digital marketplace.

Structural Modeling and Analysis of Barriers Encountered in Gamification Applications in Health

2021 ◽  
pp. 34-53
Author(s):  
Gözde Koca ◽  
Özüm Eğilmez
Keyword(s):  
Community Health ◽  
Mobile Devices ◽  
Structural Modeling ◽  
Healthcare Services ◽  
The Other ◽  
Healthcare Outcomes ◽  
Interpretive Structural Modeling ◽  
Modeling And Analysis ◽  
Root Cause ◽  
Root Barrier

Applications (apps) offer outstanding opportunities for healthcare services to serve individuals in areas that do not involve technology that improve healthcare outcomes, and that strengthen community health. These opportunities are becoming more common, especially with the increasing use of mobile devices in many segments of society. On the other hand, there are many obstacles that directly or indirectly affect the process of implementing gamification applications. In this study, the authors use Interpretive structural modeling (ISM) and MICMAC aiming to reveal the relations of obstacles encountered, and also to find the root cause of barriers in gamification engagement through applications used in healthcare. Findings showed that the lack of functionality of the apps, having the highest driving power and lowest dependency, was determined as the root barrier whilst other barriers are also divided into levels.

scholarly journals An Application of Interpretive Structural Modeling In Sustainable Supply Chain Management

2019 ◽  
Vol 9 (1) ◽  
pp. 434-441
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Social Impact ◽  
Structural Model ◽  
Structural Modeling ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Domain Experts

The advent of globalization in the market has led to huge competition among the companies in various fields to achieve best supply chain practices. Increasing focus on environmental concerns has driven critical changes in industries’ strategy by incorporating sustainability in their supply chain. A supply chain which does not threaten the opportunities for future generations by considering environmental and social impact in addition to the economic impact leads to the concept of Sustainable Supply Chain Management (SSCM). Firms adopt sustainability by implementing specific practices - named as SSCM practices, in supply chain. However they struggle to identify the influential practices.This Paper intends to analyze the SSCM practices in plywood Industries in Visakhapatnam using Interpretive Structural Modeling (ISM). ISM method is used to develop a structural model to identify the influential practices. The SSCM practices are identified through literature review and from domain experts and managers of industries. Then practices are grouped under the dimensions of sustainability namely economic, environmental and social. And ISM model is built through which the most dominant practice among them in each dimension is identified.

scholarly journals Identification of Essential Elements in Maintaining Efficient Boiler System of a Coal Fired Thermal Power Plant

2019 ◽  
Vol 9 (2S2) ◽  
pp. 406-410
Keyword(s):  
Electric Power ◽  
Thermal Energy ◽  
Power Plants ◽  
Structural Model ◽  
Thermal Power ◽  
Structural Modeling ◽  
Essential Elements ◽  
Performance Model ◽  
Point Of View ◽  
Interpretive Structural Modeling

Electric power is most inevitable one among the other sources of energy. It plays prime role in all developed and developing countries. More than eighty percentage of the electric power are generated from coal fired thermal power plants, in it the thermal energy available in coal is released by firing inside the boiler and transferred to water to generate the super-heated steam. All the released thermal energy inside the boiler cannot be transferred in to the water. Some percentage of heat energy gets lost to the environment without any beneficial uses. If the boiler maintains and operates in correct way, the losses can be minimized and efficiency can be improved. There are so many enablers to efficiently manage the boiler in both maintenance and operation point of view. By using ISM (Interpretive structural modeling) method, identified the relationships of enabler and they are weak in the interpretation of enabler links. To control this, TISM (Total interpretive structural modeling) is used in this paper and it is a modeling with qualitative technique. For the enablers of boiler system, this method is very useful for creating the performance model in structural form. In addition to this, the interaction between all elements of enablers can be easily identified by developed structural model of this methodology. If most important enablers which influence the efficiency of the boiler is concentrates is very easy to maintain designed efficiency of boiler. This work is narrated in this article.

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