The purpose of this paper is to study the 14 principles of Edwards Deming and create significant relationships between them. No research has been reported on the implementation of Total Quality Management (TQM) using Deming’s 14 principles. To fill this gap, Interpretive Structural Modeling (ISM) and MICMAC analysis have been developed to understand mutual interactions among variables and find both the dependence and driving power of these variables.,The research paper discusses a blend of practical applications and introduces a theoretical framework. An ISM-based methodology is used to study and examine interactions between identified variables, while MICMAC analysis is used to identify the dependence and driving power.,This research utilizes Deming’s 14 quality principles, with experts from academia and industry consulted to identify contextual relationships among variables. The result shows that the stated principles “take action to accomplish the transformation,” “institute training,” “encourage education to employees” and “institute leadership” are strategic requirements, while “drive out fear,” “break down barrier between staff areas” and “eliminate numerical quotas” are tactical requirements. “Adopt the new philosophy,” “create constancy in improvement of product and service” and “cease dependence on mass inspections” are operational requirements for TQM applications.,An ISM-based quality framework, dependence power and driving power of variables using MICMAC analysis have been recommended to the service and manufacturing industry as a new focus area in the implementation of TQM.

Modeling Deming’s quality principles to improve performance using interpretive structural modeling and MICMAC analysis

Driving sustainable banking in Nigeria through responsible management education: The case of Lagos Business School

The banking systems of emerging economies in general and India in particular are facing sustained impairment due to mounting non-performing assets (NPAs). In the absence of stringent policies and t...

A hierarchical model of the determinants of non-performing assets in banks: an ISM and MICMAC approach

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

The objectives of this research are to determine the topics that corporate governance (CG) and social responsibility (SR) have in common, to find which of the topics in common are found only in CG reports, and to find which of the topics in common are found in both CG and SR reports. To meet the objectives, a content analysis was prepared based on a literature review, from which a CG and SR Model Questionnaire table of topics and subtopics in common was compiled. From there, the annual reports, CG reports, and SR reports of 26 main mining companies, all members of the International Council on Mining and Metals, were analyzed. The results showed that 21.52% of topics in common were mentioned in both CG and SR reports, 19.51% were disclosed in CG reports but not in SR reports, and 28.20% were found exclusively in SR reports.

Relationship between corporate governance and social responsibility: Evidenced in mining companies

The purpose of this paper is to identify the critical success factors for sustainable growth of the Indian banking sector and develop a model for Indian banks by using interpretive structural modelling (ISM). It suggests some of the critical measures of sustainability for Indian banks.,This paper aims to establish a relationship among the factors of sustainable banking through the opinion of experts from the banking sector. ISM approach is applied to bring down the complexity of relationship among factors. ISM ranked the factors as per their ability to facilitate and dependence on other factors and helps to develop a comprehensive, systematic model based on the relationship amongst those factors. After developing the model, second reviews by the experts are conducted for their comments and thus, the final model comes into existence.,Legal and environmental compliance is determined as the key factor which is driving the other factors of sustainable banking. It will surely going to pose a challenge for business concerns for initiating various sustainable steps that will be a motivational factor for generating business opportunities and sustainable collaboration.,The study provides a comprehensive framework of sustainable banking which can be applied to various Indian banks. It helps to develop coherence between conventional and sustainable dimensions of banking.,The ISM is applied for the first time in case of sustainability in the banking sector to bring about a model for sustainable banking in India.

Identifying critical success factors for sustainable growth of Indian banking sector using interpretive structural modeling (ISM)

The purpose of this study is to evaluate the performance of Islamic stock indices in the presence of Islamic calendar anomaly in the context of emerging economies. The current study has considered daily data from 1 January 2010 to 1 September 2017. Standard & Poor’s (S&P) Shariah index, which comprises funds from 22 emerging economies, is used for the study. Descriptive statistics are applied to check the behaviour of the index. The Generalised Auto Regressive Conditional Heteroscedasticity Model (GARCH) model is applied to capture the seasonality in the returns and the volatility of the Islamic equity market. It has been found out that the effect of Ramadan, the holy month of Muslims, can be both significant and insignificant depending on different years. The Islamic indices during the earlier years of their establishment were performing poorly, if compared to the market benchmarks. But during the latter years, the markets have performed well or maintained a good place, as compared to market benchmarks. The results of Jensen’s alpha show that the returns during Ramadan improve significantly. This study will help the investors to efficiently time their trading. Based on the authors’ best knowledge, this is the first paper describing an investigation on Ramadan effect on the emerging Shariah index, which has also included the Ramadan period of 2017.

Examining anomalies in Islamic equity market of the emerging economies

The objective of the study is to explore the board characteristics and its impact on the ﬁnancial performance of Indian companies. The sample comprises of top 100 companies listed on the Bombay Stock Exchange for the financial year 2018-2019. The data required for the analysis was collected from the annual reports of the companies available at their respective websites and from the Prowess database of the Centre for Monitoring of Indian Economy. The paper constructed sub-indices for the board as board composition index, board independence index and board disclosure index. Combining all sub-indices, we formed the Board Composite Index. Further, the data was analysed to draw meaningful conclusions. Firm size is used as a controlling variable. The results show that there is a strong relationship between board indicators and return on asset.

https://turcomat.org/index.php/turkbilmat/article/download/2268/1981

The Indian Corporate Board Efficiency and its Impact on Financial Performance

This book mostly concentrates on firms with positive earnings, but this chapter focuses on the negative earnings firms or firms with very low earnings. It is easier to value a positive earning firm than a company with negative earnings. Analyzing negative earning firms has always created problems for researchers and analysts. In case of a negative earning firm, growth rates cannot be predicted or used in the valuation of firms. When current income of the firms is negative, growth rate will make it more negative. Tax computation becomes more complicated and the Going Concern Assumption does not apply properly. Authors start with complications in valuing negative earning firms, discuss the causes of negative earnings, and whether the problem is short-term, long-term, or cyclical in nature. Finally, authors provide the appropriate valuation technique for each case.

Mohd Sarim

Papers

Identifying critical success factors for sustainable growth of Indian banking sector using interpretive structural modeling (ISM)

Examining anomalies in Islamic equity market of the emerging economies

The Indian Corporate Board Efficiency and its Impact on Financial Performance

Valuation of Negative Earning Firms

The Interrelationship between Corporate Governance and Corporate Social Responsibility in Indian Companies