• Journal of Distribution Science
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• v.14 no.2
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• pp.5-12
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• 2016

Purpose - The present study examines the interrelationship between various components constituting shopping experience in the context of the Indian shopping malls. Research design, data, and methodology - Extracting components of shopping experience from the literature review, the study used Interpretive Structural Modelling (ISM) to propose a conceptual model. The study adopted a mixed methods research involving theoretical constructs from past research, qualitative assessment of relationship between the constructs and imposing definite order and direction to qualitative relations based on mathematical computations. Results - Proposed model indicates that the five components of shopping experience (ambience, physical infrastructure, convenience, marketing focus and safety and security) do not converge directly into shopping experience. Rather, they operate following a hierarchy of influences in which marketing focus plays the role of the initiator. Conclusions - This model points at the order of preference of different components of shopping experience and can be a useful guide for retail industry, especially mall developers and supermarket/hypermarket, may use the findings in key decisions about development of physical infrastructure, which are based on marketing focus.

• Asian Journal of Business Environment
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• v.5 no.4
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• pp.37-46
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• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.140-149
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• 2007

Indian construction companies have only 0.05% market share in the 3-4 trillion dollar global construction business and only two Indian construction companies figure in the ENR "Top 225 Global Contractors 2006" list. Hence, while enormous scope for growth exists, international construction experience is limited. This study explores the risks as perceived by Indian companies venturing abroad since risks in international construction differ from home market risks. Literature survey identified a number of risk factors that were evaluated by the experts, highlighting fourteen important risk factors. Interpretive Structural Modelling (ISM) was used to develop a hierarchical model showing the relationships between the different risk factors, thus helping to focus on the key risks for effective risk management. The study shows that poor project management is a key risk forming the hub of the system, while political instability has maximum influence. The results of the study can be used by managers to visualise the risks in perspective and prioritise the mitigation effort.

• Journal of Korea Port Economic Association
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• v.32 no.1
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• pp.179-192
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• 2016

This purpose of this study is to identify the Analysis of Safety Control Factor Influenced on the Management of the Costal Shipping Companies. The study selected the analysis of safety control factors performed the Brain-Storming method, Depth Interview and Face-to-Face Interview. This survey targets are 25 experts for the opinions of expert groups with CEO of coastal shipping companies. This study used ISM(Interpretive Structural Modeling)to analyze the safety control factors and understand correlations between factors and found that sufficient acquirement of legal shipping equipment and freight (or passenger) management factors are the safety control factors that give the biggest effect on the management of coastal shipping companies. ISM analysis results are as follows. The factors that most influence the advancement of safety management is ensured the legal faithful to ship equipment. In the future, a survey have to multiple targets and to improve the practical needs by using a FSM (Structural Fuzzy Modelling).