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.

scholarly journals Proposing Blue Sukuk in Indonesia: An Interpretive Structural Model

2021 ◽  
Vol 6 (1) ◽  
pp. 101
Author(s):  
Aam Slamet Rusydiana ◽  
Mohammad Iqbal Irfany
Keyword(s):  
Structural Model ◽  
Environmentally Friendly ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Problem Model ◽  
Fishing Villages ◽  
Regulatory Aspects ◽  
Advanced Planning ◽  
Planning Methodology ◽  
Interpretive Structural Model

This research aims to identify the priority factors that being barriers to issue and develop Islamic blue sukuk in Indonesia. Employing the Interpretive Structural Modeling (ISM) method, it also offers several solutions for the identified problems. As an advanced planning methodology, ISM is used to identify, analyze, and summarize various relationships among factors that define a problem, model, or issue. In the ISM framework, there are three criteria of blue sukuk development in Indonesia including (1) aspect or foundation required within the framework of developing blue sukuk; (2) infrastructure that will be used as a basis for sukuk issuance (underlying projects); and (3) stakeholders involved in the development of blue sukuk in Indonesia. Results show that important foundations needed in the development of blue sukuk are regulatory aspects, feasible underlying projects, investors, and inter-institutional coordination, respectively. Finally, possible underlying infrastructures for the issuance of Blue Sukuk are the development of integrated fishing villages as well as the procurement of large and environmentally friendly fishing boats.

scholarly journals Safety Failure Factors Affecting Dairy Supply Chain: Insights from a Developing Economy

2021 ◽  
Vol 13 (17) ◽  
pp. 9500
Author(s):  
Aisha Hassan ◽  
Li Cui-Xia ◽  
Naveed Ahmad ◽  
Muzaffar Iqbal ◽  
Kramat Hussain ◽  
...  
Keyword(s):  
Supply Chain ◽  
Structural Model ◽  
Dairy Industry ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Safety Issues ◽  
The Public ◽  
Expert Team ◽  
Failure Factors

Safety issues in the dairy industry have attracted greater attention in recent years, and the public have showed an intensive concern regarding safety failure in the dairy supply chain. Since the dairy industry is closely associated with humans and fulfills basic necessities, it is necessary to explore safety failure factors (SFFs) affecting the supply chain of the dairy industry. This paper aims to explore the SFFs of the dairy supply chain using an interpretive structural modeling technique (ISM) and Matrice d’Impacts Croises Multiplication Appliques a un Classement (MICMAC) analysis in a Pakistani context. A total of twenty-five failure factors have been identified through literature reviews and the opinion of an expert team, including managerial and technical experts from the dairy industry, as well as academics. Interpretive structural modeling (ISM) is applied to analyze the mutual interaction among barriers and to develop a structural model. The MICMAC technique is used to identify the importance of SFFs based on their driving and dependence power. The results of this study will help decision-makers in the dairy industry to plan their supply chain activities more effectively and efficiently by managing the identified barriers.

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 ANALISIS PENGARUH KEBIJAKAN HUTANG, KEBIJAKAN DIVIDEN, DAN PERTUMBUHAN PERUSAHAAN TERHADAP NILAI PERUSAHAAN DENGAN PROFITABILITAS SEBAGAI VARIABEL INTERVENING PADA PERUSAHAAN PEMBIAYAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

BISMA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 43
Author(s):  
Febriani Florentin Sinaga
Keyword(s):  
Path Analysis ◽  
Sampling Method ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Financial Data ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Company Value ◽  
Company Growth ◽  
Debt Policy

This study aims to analyze the effect of debt policy, dividend policy, and company growth on company value, with profitability as the intervening variable, in the finance companies listed on the Indonesia Stock Exchange (IDX). The population of this study was all finance companies listed on IDX for the period of 2015 and 2016. The purposive sampling method was used in this study with the sample consisted of 12 finance companies. Data used were financial data sourced from the website of IDX. Data were analyzed using path analysis with two equations, i.e., the factors affecting company value and the factors affecting company profitability. Results of the study showed that debt policy, dividend policy, company growth, and profitability have no significant effect on company value. This study also found that debt policy and company growth  have no significant effect on profitability, while dividend policy significantly affects profitability. Keywords : Debt policy, dividend policy, company growth, profitability

Factors affecting strategic plan implementation using interpretive structural modeling (ISM)

2018 ◽  
Vol 31 (5) ◽  
pp. 406-414 ◽  
Author(s):  
Mohammadkarim Bahadori ◽  
Ehsan Teymourzadeh ◽  
Hamidreza Tajik ◽  
Ramin Ravangard ◽  
Mehdi Raadabadi ◽  
...  
Keyword(s):  
Strategic Planning ◽  
Planning Process ◽  
Strategic Plan ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Plan Implementation ◽  
Content Type ◽  
Factors Affecting ◽  
Strategic Planning Process ◽  
The Relationship

PurposeStrategic planning is the best tool for managers seeking an informed presence and participation in the market without surrendering to changes. Strategic planning enables managers to achieve their organizational goals and objectives. Hospital goals, such as improving service quality and increasing patient satisfaction cannot be achieved if agreed strategies are not implemented. The purpose of this paper is to investigate the factors affecting strategic plan implementation in one teaching hospital using interpretive structural modeling (ISM).Design/methodology/approachThe authors used a descriptive study involving experts and senior managers; 16 were selected as the study sample using a purposive sampling method. Data were collected using a questionnaire designed and prepared based on previous studies. Data were analyzed using ISM.FindingsFive main factors affected strategic plan implementation. Although all five variables and factors are top level, “senior manager awareness and participation in the strategic planning process” and “creating and maintaining team participation in the strategic planning process” had maximum drive power. “Organizational structure effects on the strategic planning process” and “Organizational culture effects on the strategic planning process” had maximum dependence power.Practical implicationsIdentifying factors affecting strategic plan implementation is a basis for healthcare quality improvement by analyzing the relationship among factors and overcoming the barriers.Originality/valueThe authors used ISM to analyze the relationship between factors affecting strategic plan implementation.

scholarly journals Exploring the Determinants of Hot Spring Tourism Customer Satisfaction: Causal Relationships Analysis Using ISM

2019 ◽  
Vol 11 (9) ◽  
pp. 2613
Author(s):  
Chuanmin Mi ◽  
Yetian Chen ◽  
Chiung-Shu Cheng ◽  
Joselyne Lucky Uwanyirigira ◽  
Ching-Torng Lin
Keyword(s):  
Customer Satisfaction ◽  
Success Factors ◽  
Structural Model ◽  
Hot Spring ◽  
Food Service ◽  
Tourism Industry ◽  
Limited Resources ◽  
Key Factors ◽  
Interpretive Structural Modeling ◽  
Factors Affecting

To stand out in the hot spring tourism industry, customer satisfaction has become the crucial issue for competitiveness. A company cannot implement several customer satisfaction improvement practices altogether with limited resources. Researchers advocate that companies should evaluate the relationships among success factors and explore determinants for their improvement implementation. However, such a relationship evaluation has not yet been adequately performed. This paper intends to explore the determinants for improving hot spring customer satisfaction. Adopting grounded theory (GT) and using data collected from websites, Ctrip and Qunar, the first 12 key factors for customer satisfaction were identified. Then, their interrelationships were assessed by 15 experts, and interpretive structural modeling (ISM) was employed to analyze the interrelationships and the driving and dependence power among key factors. The results show that “Environment Quality”, “Special Resource”, “Convenience”, “Food”, Service Quality”, and “Facilities” were the decisive factors affecting customer satisfaction. The findings offer important implications for hot spring management and practice. The contribution of this study is using a novel approach to establish a hierarchical structural model for comprehensive understanding of factor relationships that influence hot spring tourists’ satisfaction and to explore decisive factors which can help hot spring practitioners to better plan and design effective improvement strategies to attract potential new consumers and retain their current consumers, especially with limited resources.

scholarly journals Diseño de un modelo de evaluación del rendimiento deportivo en la provincia de Khouzestan, Irán, con Modelización Estructural Interpretativa

2019 ◽  
Vol 8 (2) ◽  
pp. 133-140
Author(s):  
E. Mazarei ◽  
S. Heydarinejad ◽  
P. Shafienia ◽  
M. Zarra-Nezhad
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Structural Model ◽  
Measurement Tool ◽  
Management Approach ◽  
Interpretive Structural Modeling ◽  
Statistical Population ◽  
Khuzestan Province ◽  
Interpretive Structural Model ◽  
A Performance

Cualquier organización deportiva necesita un sistema de evaluación del rendimiento para garantizar la conveniencia de sus actividades, especialmente en entornos dinámicos y complicados. El objetivo de este estudio fue utilizar Modelización Estructural Interpretativa (ISM) para proponer un modelo de evaluación del rendimiento para las oficinas de jóvenes y deportes en la provincia de Khuzestan, Irán. Este es un estudio cuantitativo de tipo descriptivo-analítico. La población estadística estuvo formada por 120 expertos científicos y ejecutivos. Se invitó a 60 individuos a participar y, finalmente, se seleccionaron 30 individuos como los encuestados finales mediante un método de muestreo intencional. La herramienta de medición de datos fue un cuestionario elaborado por investigadores. Su validez fue confirmada por los expertos. Se utilizaron métodos estadísticos descriptivos e inferenciales para analizar los datos. Se empleó MATLAB para analizar los datos relativos al modelo estructural interpretativo. Los resultados mostraron que la mayoría de las estrategias se encuentran en el área vinculada según el análisis de influencia poder y dependencia (Tabla MICMAC). Además, los resultados de la clasificación de la estrategia indicaron que las estrategias esenciales fueron: estrategias de planificación deportiva, legislación, eliminación de obstáculos estructurales, creación del consejo estratégico de deportes de la provincia, y enfoque de gestión estratégica. Any sport organization intensively needs a performance evaluation system to ensure the desirability of its activities, particularly in dynamic and complicated environments. The objective of this study was to use interpretive structural modeling (ISM) to propose a performance evaluation model for the youth and sports offices in Khuzestan Province, Iran. This is a quantitative study of descriptive-analytical type. The statistical population consisted of 120 scientific and executive experts. 60 individuals were invited to participate, and finally, 30 individuals were selected as the final respondents by purposive sampling method. The data measurement tool was a researcher-made questionnaire. Its validity was confirmed by the experts. Descriptive and inferential statistics methods were used to analyze the data. MATLAB was employed to analyze the data concerning the interpretive structural model. The results showed that most of the strategies are in the linked area according to the analysis of the influence power and dependence (MICMAC Table). Moreover, the results of the strategy classification indicated that the most essential strategies were: strategies of sport preparation scheme, legislation, structural obstacles elimination, creation of the province sport strategic council, and strategic management approach.

Interpretive Structural Model of the Evolution of Urban Economic Space

2014 ◽  
Vol 962-965 ◽  
pp. 2479-2484
Author(s):  
Qi Wang ◽  
Yuan Yuan Jiao ◽  
Xiao Li Guo
Keyword(s):  
Economic System ◽  
Structural Model ◽  
Cooperative System ◽  
Space System ◽  
Interpretive Structural Modeling ◽  
Economic Space ◽  
Urban Economic ◽  
Structural Principle ◽  
Structural Levels ◽  
Interpretive Structural Model

An urban economic space system consists of an interactional economic system and its carrier. Characterized by numerous elements, complex relations, and structural levels, this system is also composed of the following: industrialization, urbanization and its cooperative system, environmental restrictions, and other subsystems. Structural principle and interpretive structural modeling are employed to build an interpretive structural model of 36 elements distributed across 12 levels. The following relation, i.e., industrialization → urbanization → environmental restrictions, constitutes a core substructure that affects the cooperative degree of urbanization and industrialization.

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.

Big data analytics based enablers of supply chain capabilities and firm competitiveness: a fuzzy-TISM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nisha Bamel ◽  
Umesh Bamel
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Structural Model ◽  
Big Data Analytics ◽  
Integrated Approach ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
People Skills ◽  
Interpretive Structural Model

PurposeThis paper aims to identify the big data analytics (BDAs) based enablers of supply chain capabilities (SCCs) and competitiveness of firms. This paper also models the interaction among identified enablers and thus projects the relationship strength of these enablers with SCC and a firm's competitiveness.Design/methodology/approachIn order to achieve the research objectives of this paper, we employed fuzzy total interpretive structural modeling (TISM), an integrated approach of an interpretive structural model and TISM.FindingsResults suggest that BDA-based enablers namely, IT infrastructure for BDA; leadership commitment; people skills for use of BDA and financial support for BDA significantly enable SCC and enhance firm competitiveness.Practical implicationsResults of the present study have implications for researchers and practitioners; the results will enable them to design policies around identified enablers of BDA initiatives.Originality/valueThe present paper is one of a few early efforts that address the role of BDA in augmenting SCC and subsequently a firm's competitiveness from a resource-dynamic capability perspective.

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