Improving to Smart Organization

Abstract

Purpose – The purpose of this paper is to focus on studying the concept of “Smart Organization” and providing a comprehensive framework for the various factors as barriers for the smart organization, identifying and classifying the key criterion of these factors based on their direct and indirect relationships. Design/methodology/approach – In this paper an extensive literature survey and experts’ opinion have been used to identify major barriers of smart organization. These barriers are then modeled using interpretative structural modeling (ISM) methodology. The model so developed has been further improved and an integrated model has been developed using fuzzy-MICMAC. Findings – Various barriers of smart organization have been identified and a structural model has been developed for barriers using the ISM methodology. The critical barriers have been found out by fuzzy-MICMAC analysis. The driver power and dependence graph has been plotted for barriers. The barriers are classified into four categories which are, autonomous, linkage, dependent and independent according to their driver power and dependence. From the ISM model and the integrated model, and from further discussions with the experts, it has been found that the barriers “(B1) organizational structure” and “(B6) Managerial actions” are the two most important barriers, every other barrier is directly or indirectly driven by these. Research limitations/implications – The basis of developing the ISM model, i.e, the structural self-interaction matrix is based on experts’ opinion, therefore the result may get influenced if there is any biasing in judging the barriers. The future research scope for this paper will be to test the model generated in this paper. The testing of the model can be done by applying structural equation modeling technique, it has the capability of testing the hypothetical model. Further a framework of smart organizations can be created to find out the smartness of different organizations. Practical implications – The paper can be used by organizations in understanding the barriers in becoming “smart” on the basis of their inter-relationships. This model can help manufacturing organization of North India in understanding the barriers which needs to be worked upon and the inter-relationship among these factors. This model-based study may be helpful in understanding and implementing the practices of smart organization by removing the possible critical barriers. Originality/value – This is the first study to identify the barriers of smart organizations and to develop a model of these barriers using ISM and fuzzy-MICMAC.

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

“…ISM methodology is widely used to model and classify relationships among specific elements. ISM is an interactive erudition process in which a set of unlike and directly connected elements are structured into a complete methodical model (Kannan et al , 2009; Dubey et al , 2015; Sushil, 2017; Haleem et al , 2018; Saurikia et al , 2017; Khan and Haleem 2015; Khan et al , 2020a, b). ISM utilises the interrelations among the factors of the system to generate a model.…”

Integrated Evaluation of the Impediments to the Adoption of Coconut Palm Wood as a Sustainable Material for Building Construction

“…This complexity is due to the presence of many impediments as well as the complicated interactions among these impediments. Not that alone, the presence of directly or indirectly related impediments complicates the issues at hand, which may or may not be expressed in an unambiguous manner [55]. Thus, it becomes quite hard to handle such problems in which the structure is not clearly defined.…”

“…Among the notable advantages of using the ISM and MICMAC techniques in this study is that the adoption of these techniques provides a more vigorous modeling of the information obtained from the experts and provides a closer and easier way to understand and appreciate the resultant information. The improvement and impact that these techniques have on the structural analysis is highly remarkable [55]. Also, these techniques permit the experts to evaluate the influence among the impediments by linguistic terms.…”

“…While these advantages bring about richer and interpretable results, which make it easier, faster, and more robust to identify the crucial impediments [57], the adoption of these techniques permits policy analysis by assisting the policy makers in determining key areas for policy action. This will provide advantages or leverage in pursuing pre-determined goals [55]. The sections that follow present the methods adopted for achieving the aim of this study.…”

Fuzzy AHP approach for barriers to implement LSS in the context of Industry 4.0

“…Kamble et al (2018) and Khanzode et al (2020) also explained barriers to Industry 4.0 implementation in their research. Though many authors have reported barriers of LSS (Yadav and Desai, 2017;Ben Ruben et al, 2018;Albliwi et al, 2014;McLean and Antony, 2014) and Industry 4.0 (Kamble et al, 2018;Moktadir et al, 2018;Glass et al, 2018;Raj et al, 2019;Khan and Haleem, 2015) separately in their research, very few hardly portrayed LSS barriers in the perspective of Industry 4.0. Hence, there is stringent need to study and prioritize these barriers.…”