Triple-strength model of female auditors empowerment in Iran

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mojtaba Hidari ◽  
Hasan Valiyan ◽  
Mohammadreza Abdoli ◽  
Alireza Koushki Jahromi
Keyword(s):  
Developing Countries ◽  
Gender Inequality ◽  
Structural Model ◽  
Educational Planning ◽  
Individual Development ◽  
Strength Model ◽  
Data Types ◽  
Content Type ◽  
Internal Auditors ◽  
Interpretive Structural Model

Purpose As one of the dominant features in developing countries, gender inequality has driven individual development and the promotion of skills, behavioral and social competencies largely based on the male gender. The audit profession is considered one of the jobs where gender inequality exists, especially in developing countries. This has made educational programs more inclined toward enhancing masculine abilities, followed by less well-regarded feminine functions in the field. This study aims to present a triple-strength model of female auditors empowerment in Iran. Design/methodology/approach This is a goal-oriented, descriptive-applied developmental research and a mix of data types. In the qualitative section, the three-dimensional empowerment proposition of women working in the field of internal auditing (IA) were identified based on the Dacum model approach participated by 15 research experts, using cross-sectional and Delphi analyses. A total interpretive structural model analysis was performed with the participation of 20 women as internal auditors of companies listed on the Tehran Stock Exchange (TSE). Findings The purpose of this analysis was to prioritize the spectrum of the most influential indices of empowerment of female auditors in educational planning to the least effective ones in the form of the research model and to examine the relationships between them based on matrix comparisons. According to the results, 17 indices reached theoretical adequacy during the 2 rounds of Delphi analysis out of the initial 19 indices in the cross-mix analysis. Originality/value The results of the interpretive/structural analysis indicated that educational planning was selected to balance the other roles of women as internal auditors, and the most influential Dacum proposition was to enhance the capabilities of women in IA in listed companies in TSE.

India’s rural healthcare systems: structural modeling

2018 ◽  
Vol 31 (7) ◽  
pp. 757-774 ◽  
Author(s):  
Dinesh Kumar
Keyword(s):  
Structural Model ◽  
Healthcare Services ◽  
Healthcare Systems ◽  
Climatic Conditions ◽  
Healthcare Management ◽  
Driving Factors ◽  
Rural Healthcare ◽  
Content Type ◽  
Rural Health Center ◽  
Interpretive Structural Model

Purpose The purpose of this paper is to identify factors related to rural healthcare services and establish a hierarchical model for the effective rural healthcare management in India. Design/methodology/approach A questionnaire survey identified and correlated numerous factors related to the Uttarakhand rural healthcare systems. Experts opinion were translated into a reachability matrix and an interpretive structural model. A fuzzy matriced impacts croises-multiplication applique and classment (FMICMAC) analysis arranged the factors as hierarchical stages using their driving power. Findings The interpretive structural and FMICMAC hierarchical models suggest four key driving factors: diseases, climatic conditions, population growth and political pressure. Practical implications Despite numerous issues, rural healthcare services can be improved by considering key driving factors that could be used as a prediction tool for policy makers. Originality/value Results demonstrate that population control, coordinating services with local bodies and rural health center annual maintenance can be game changers toward better healthcare services.

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.

scholarly journals Interpretive structural model of trust factors in construction virtual project teams

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sukhwant Kaur Sagar ◽  
Olugbenga Timo Oladinrin ◽  
Mohammed Arif ◽  
Muhammad Qasim Rana
Keyword(s):  
Structural Model ◽  
Matrix Multiplication ◽  
Virtual Team ◽  
Project Teams ◽  
Content Type ◽  
Team Members ◽  
Virtual Project ◽  
Interpretive Structural Model ◽  
Trust Factors ◽  
Virtual Project Teams

Purpose Organisational dependence on virtual project teams (VPTs) is growing dramatically due to the substantial benefits they offer, such as efficiently achieving objectives and improving organisational performance. One of the major issues that influence the effectiveness of VPTs is trust building. This study aims to determine the key factors of trust in VPTs and design a model by identifying the interrelationships among the trust factors. Design/methodology/approach Focus group discussion was used to gather data on factors affecting trust in VPTs and their interrelationships. Interpretive structural modelling (ISM) was used to establish the relationship among the factors. Cross-impact matrix multiplication applied to classification analysis was conducted to identify the driving power and the dependence power towards effective VPTs in the construction sector. Findings The finding revealed that “characteristics of team members” (such as ability, integrity, benevolence, competence, reliability and professionalism) is the most significant factor for building trust in virtual team members. Some factors were further identified as having high driving power, while others were defined as having high dependence variables. Practical implications The findings will assist construction managers and practitioners dealing with VPTs identify the factors influencing trust among team members. Taking cognisance of the factors that influence trust will enable them to design more effective virtual team arrangements. Originality/value As the first research of its kind using ISM technique, the study offers insights into interrelationships between trust factors in the construction VPTs. It provides guides for construction managers on the effective management of trustworthy VPTs.

The sequence of strategies when establishing Taiwanese restaurant in Thailand

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tzong-Ru Lee ◽  
Nirote Sinnarong ◽  
Yi-Hsiang Hsu ◽  
Hsiang-Ying Lan ◽  
Ching-Hua Yeh ◽  
...  
Keyword(s):  
Structural Model ◽  
Gray Relational Analysis ◽  
Content Type ◽  
Analytic Process ◽  
Perception Of Quality ◽  
Set Up ◽  
Construction Operation ◽  
Interpretive Structural Model ◽  
Restaurant Owners ◽  
Three Phases

Purpose The purpose of this paper is to investigate the problem faced by many Taiwanese restaurant owners who trying to set up their shops in Thailand. Design/methodology/approach Two surveys were conducted in this study. The first interview questionnaire was designed using the factors proposed by Parasuraman et al. (1988, 1991) and given to restaurant owners/managers who successfully set up shops in Thailand. The second questionnaire was constructed specifically for Thai consumers. Findings Gray relational analysis (GRA), theory of inventive problem-solving (teoriya resheniya izobreatatelskikh zadatch, TRIZ) and interpretive structural model (ISM) were used to identify potential difficulties and to determine the key factors impacting the shop establishment and development in Thailand. The results provide a set of strategic sequence when launching restaurant in Thailand. Originality/value A result of GRA determined 14 important factors that influence customer perception of quality service. A TRIZ analytic process provided 17 strategies when setting up overseas shop and the ISM class diagram shown the three phases needed to be considered before restaurant owners can set up shops abroad. The three phases are construction, operation and competition phases. These set of strategies sequence when launching a restaurant in Thailand.

Modeling the Big Data challenges in context of smart cities – an integrated fuzzy ISM-DEMATEL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Imran Khan ◽  
Shahbaz Khan ◽  
Urfi Khan ◽  
Abid Haleem
Keyword(s):  
Big Data ◽  
Structural Model ◽  
Smart Cities ◽  
Integrated Approach ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Use Of Resources ◽  
Implementation Level ◽  
Interpretive Structural Model

PurposeBig Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable build environment. However, the adoption of Big Data faces many challenges at the implementation level. Therefore, the purpose of this paper is to identify the challenges towards the efficient application of Big Data in smart cities development and analyse the inter-relationships.Design/methodology/approachThe 14 Big Data challenges are identified through the literature review and validated with the expert’s feedback. After that the inter-relationships among the identified challenges are developed using an integrated approach of fuzzy Interpretive Structural Modelling (fuzzy-ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL).FindingsEvaluation of interrelationships among the challenges suggests that diverse population in smart cities and lack of infrastructure are the significant challenges that impede the integration of Big Data in the development of smart cities.Research limitations/implicationsThis study will enable practitioners, policy planners involved in smart city projects in tackling the challenges in an optimised manner for the hindrance free and accelerated development of smart cities.Originality/valueThis research is an initial effort to develop an interpretive structural model of Big Data challenges for smart cities development which gives a clearer picture of how the identified challenges interact with each other.

Modeling drivers for successful adoption of environmentally conscious manufacturing

2014 ◽  
Vol 9 (2) ◽  
pp. 127-140 ◽  
Author(s):  
Varinder Kumar Mittal ◽  
Kuldip Singh Sangwan
Keyword(s):  
Structural Model ◽  
Review Of Literature ◽  
Interpretive Structural Modeling ◽  
Environmentally Conscious ◽  
Policy Makers ◽  
Content Type ◽  
Environmentally Conscious Manufacturing ◽  
The Government ◽  
Dependence Relationship ◽  
Interpretive Structural Model

Purpose – This paper aims at developing an interpretive structural model of drivers for environmentally conscious manufacturing (ECM). It will demonstrate how interpretive structural modeling (ISM) supports policy makers in the government and industry in identifying and understanding interdependencies among drivers for ECM. Interdependencies among drivers will be derived and structured into a hierarchy to derive subsystems of interdependent elements with corresponding driving power and dependency. Design/methodology/approach – ISM has been used to identify hierarchy and inter-relationships among drivers for ECM adoption and to classify the drivers according to their driving and dependence power using MICMAC analysis. The drivers for ECM adoption are identified through the review of literature followed by developing a model of drivers using ISM. Findings – The main findings of the paper include the development of an ISM model of drivers for ECM adoption. The developed model divided the identified drivers into five levels of hierarchies showing their inter-relationship and depicting the driving-dependence relationship. These five levels have been classified into four categories – awareness, external, organizational and benefits. Originality/value – The developed ISM model is expected to provide a direction to the policy makers in the government and industry and the top management of the organizations to leverage their resources in a timely manner to adopt ECM successfully.

Benchmarking model for management education in India

2017 ◽  
Vol 24 (3) ◽  
pp. 666-693 ◽  
Author(s):  
Swati Yeravdekar ◽  
Abhishek Behl
Keyword(s):  
Higher Education ◽  
Public Sector ◽  
Literature Review ◽  
Private Sector ◽  
Structural Model ◽  
Management Education ◽  
Public And Private ◽  
Content Type ◽  
Education In India ◽  
Interpretive Structural Model

Purpose Management education has assumed phenomenal prominence in India in recent years, with branding being a prime factor used as a yardstick, rather a benchmark or point of reference, for one institution having an edge over the other. The purpose of this paper is to explore the factors leading to branding of management education in India. It proposes two frameworks using Total Interpretive Structural Model (TISM) for public and private sector management colleges. For this purpose, variables are extracted using systematic literature review, which play a crucial role in changing the dynamics of college rankings. The inquiry distinctly examines the nature of relationship between them for public and private colleges offering higher education. The study further proposes strategies for improvement of rankings by discussing the hierarchy and interrelationship among the enablers. Design/methodology/approach The study uses Interpretive Structural Model (ISM) to ascertain the linkages between the variables, and employs TISM to validate the reasons of association. The model was fabricated by consulting the experts from various spheres closely allied to branding and higher education, including the private agencies and decision makers in the selected colleges. The variables were furthermore structured for classification using Matrice d’Impacts Croises-Multiplication Appliqué an Classment Analysis. Findings It was observed that the variables behave differently when studied from the perspective of private sector colleges and public sector colleges; the former have seven levels of arrangement while it is only four for the latter. Quality of Faculty and Research were the key areas of concern for private sector colleges while infrastructure featured as a focal point for those in public sector. It was also evident that the placement of variables and their flow were different. Rankings should thus be premeditated differently for both the sectors and different weights should be assigned to rank the colleges. Research limitations/implications The study is confined to branding of management education institutes in India, without considering other important disciplines for generalizing the framework. It is based on literature review followed by ISM, while other approaches such as ethnographic research methods and appreciative inquiry could have been possible alternatives as well. Practical implications The paper helps in developing different frameworks for private and public sector institutes, which would assist them to have a homogenous completion within their respective sectors. The study can be used to measure the performance of colleges on various parameters and gives them linking variables to enhance their productivity. Originality/value The paper discusses the need for developing a different barometer to measure the performance of private sector and public sector colleges offering higher education.

A structural analysis of the enablers of u-commerce proliferation in a developing economy

2016 ◽  
Vol 65 (7) ◽  
pp. 925-946 ◽  
Author(s):  
Mohd. Nishat Faisal ◽  
Habibullah Khan
Keyword(s):  
Structural Model ◽  
New Technology ◽  
Business Environment ◽  
Developing Economy ◽  
Content Type ◽  
Key Variables ◽  
The Difference ◽  
The Impact ◽  
Interpretive Structural Model ◽  
Model Technique

Purpose U-commerce is an emerging paradigm transcending traditional e-commerce boundaries. The purpose of this paper is to highlight those issues that deserve attention in developing successful u-commerce models. Design/methodology/approach The interpretive structural model technique is adopted to construct a hierarchical structure, and the impact matrix cross-reference multiplication applied to a classification (MIC-MAC) approach is employed to analyze the effect and dependence among these factors. Findings The research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance, while another group consists of those variables that have high dependence and are the resultant actions. Practical implications Organizations that plans to develop a u-commerce model would be benefited from this study. They can understand the difference between the independent and dependent variables and their mutual relationships. This would help them to prioritize their budget and implement suitable strategies to cater to key variables so as to exploit the benefits of u-commerce. Social implications Most of the GCC countries have very similar business environment. This research can easily be adapted to other GCC nations thereby saving the duplication of time, efforts and money. Originality/value This research was conducted in a developing economy in a GCC country which is very fast adopter of new technology. The findings of this study would serve as a guide to the businesses who are migrating to a u-commerce model in future.

Modelling the drivers of healthcare waste management in India: a policy perspective

2018 ◽  
Vol 29 (3) ◽  
pp. 456-471
Author(s):  
Ankur Chauhan ◽  
Amol Singh
Keyword(s):  
Waste Management ◽  
Human Resource ◽  
Structural Model ◽  
Healthcare Facility ◽  
Policy Formulation ◽  
Vital Role ◽  
Content Type ◽  
Healthcare Waste ◽  
Healthcare Waste Management ◽  
Interpretive Structural Model

Purpose The purpose of this paper is to explore the drivers of healthcare waste management from literature review and field survey and model these drivers for understanding the inter-relationships among the drivers to enhance healthcare waste management in the Indian context. Design/methodology/approach In view of the need of the study, the interpretive structural modelling (ISM) method has been applied to model the drivers. The ISM method helps in depicting the relationships among the drivers and filtration of drivers on the basis of their driving and dependence power. Findings The findings of the study reveal that the type of a healthcare facility and its management structure, size of a healthcare facility, human resource management of a healthcare facility, healthcare facility’s management monitoring and control, and the effective re-enforcement of government regulation and policy implementation in a healthcare facility play a vital role in the enhancement of HCWM. Research limitations/implications The application of the findings of this study would enhance the hospital’s waste management by ultimately leading to a good ambience and satisfied patients and personnels. Additionally, the study would aid in the policy formulation by government and decision making of medical facilities, thereby strengthening HCWM scenario in the country. Practical implications The drivers filtered in this study would be useful for ranking the hospitals’ healthcare waste management in a region/country. This ranking may play a vital role in earmarking the hospitals which are managing their healthcare waste according to the guidelines of Central Pollution Control Board (CPCB) and Ministry of Environment and Forest (MoEF) of a country. With the help of this study, the problem of inadequate human resource can be effectively addressed for CPCB and MoEF, in India. Originality/value Healthcare waste management is a vital issue which needs attention from the management perspective in India. Therefore, an interpretive structural model, i.e. ISM digraph, has been developed which would help in the filtration of drivers and attaining the better healthcare waste management in an economically and timely manner.

Modeling sustainable development: India ' s strategy for the future

2012 ◽  
Vol 9 (2) ◽  
pp. 120-135 ◽  
Author(s):  
Rajul Singh ◽  
Roma Mitra Debnath
Keyword(s):  
Sustainable Development ◽  
Structural Equation ◽  
Structural Model ◽  
Empirical Studies ◽  
Equation Modeling ◽  
Content Type ◽  
The Sustainable Development ◽  
Strategic Goals ◽  
The Government ◽  
Interpretive Structural Model

Purpose – The purpose of this paper is to understand the relation among the various enablers of Clean Development Mechanism (CDM) to know their degree of dependence and driving power. As there has been non-agreement among the various stakeholders regarding the benefits of sustainability brought about by CDM, this paper explores the viability of sustainable development in the Indian scenario. Design/methodology/approach – This paper discusses a model to address the issues of sustainable development in the context of CDM. An interpretive structural model (ISM) has been used to model the various parameters of sustainable development in the Indian context. The relevant parameters have been considered as per the existing literature review. Findings – The result shows that sustainable development is achievable if the nation emphasizes on strategic goals and mission because sustainable development is driven by the strategic parameters such as “employment creation” and “long-term economic goals”. Research limitations/implications – The ISM model developed is not statistically validated, therefore structural equation modeling (SEM), also commonly known as the linear structural relationship approach, may be used to test the validity of such a hypothetical model. Practical implications – The government of India has to emphasize on education and inclusive employment to improve the quality of life, which would enable the sustainable development to be achieved. Originality/value – This paper describes one of the few empirical studies conducted in India.

Sign in / Sign up

Export Citation Format

Share Document