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In just the past few years, options have been examined for determining optimal operations and logistics strategies for competing in the global market. In terms of advances in technology and globalization of markets, organizations have had to improve their internal processes just to stay competitive. However, as a result of these changes, organizations are determining that these internal improvements were not enough. Where once information technologies allowed businesses to reengineer and streamline their internal business processesstreamlining the global supply chain will require the internal information systems extended beyond aJrm 's enterprise and include electronic connections between each of the global supply chain partners. An in-depth case study is used to illustrate a broad view of an entire supply chain to reveal fill product and component life cycle that not only reveals opportunities for cost reduction but also stimulates revenue growth. It makes the point that organizations must get more involved in the management of their global supply chain network of all upstream jrms that provide inputs as well as the network of all downstreamJrms that provide outputs of the product to thejnal customer.

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PurposeThe purpose of this paper is to identify and build a hierarchy of the factors influencing competitiveness of electronics manufacturing industry (EMI) at the industry level and apply the interpretive structural modeling, fuzzy Matriced’ Impacts Croisés Multiplication Appliquée á UN Classement (i.e. the cross-impact matrix multiplication applied to classification; MICMAC) and analytic hierarchy process (AHP) approaches. These factors have been explained with respect to managerial and government policymakers’ standpoint in Indian context. Design/methodology/approachThis study presents a hierarchy and weight-based model that demonstrates mutual relationships among the significant factors of competitiveness of the Indian EMI. FindingsThis study covers a wide variety of factors that form the bedrock of the competitiveness of the EMI. Interpretive structural modeling and fuzzy MICMAC are used to cluster the influential factors of competitiveness considering the driving and dependence power. AHP is used to rank the factors on the basis of weights. Results show that the “government role” and “foreign exchange market” have a significantly high driving power. On the other hand, the “capital resource availability” and “productivity measures” come at the top of the interpretive structural modeling hierarchy, implying high dependence power. Research limitations/implicationsThe study has strong practical implications for both the manufacturers and the policymakers. The manufacturers need to focus on the factors of competitiveness to improve performance, and at the same time, the government should come forward to build a suitable environment for business in light of the huge demand and frame suitable policies. Practical implicationsThe lackluster performance of the industry is because of the existing electronics policies and environmental conditions. The proposed interpretive structural modeling and fuzzy MICMAC and AHP frameworks suggest a better understanding of the key factors and their mutual relationship to analyze competitiveness of the electronics manufacturing industry in view of the Indian Government’s “Make in India” initiatives. Originality/valueThis paper contributes to the industry level competitiveness and dynamics of multi-factors approach and utilize the ISM–fuzzy MICMAC and AHP management decision tool in the identification and ranking of factors that influence the competitiveness of the EMI in the country.

Purpose The purpose of this paper is to conceptualize the influencing characteristics of user-generated content over perceived structure of social platforms to plan various business practices to improve the social commerce activities especially in emerging markets. Design/methodology/approach In first step, key factors are identified from the systematic literature studies and experts’ opinion. Second, total interpretive structural modeling is used to interpret the complexity of relationships among various factors. Further, fuzzy-MICMAC analysis is used to determine the most driving factors to improve the social commerce. Findings The study illustrates hierarchical relationships that can help policy designers, business leaders and decision makers to gain maximum benefits of mining the user-generated content to implement the people-oriented changes to improve economic capability of a country. Research limitations/implications The applicability of the study findings can be deployed mostly in emerging economies. The study has not considered the data security, cyberbullying, authenticity and reliability of shared content spread virally over social sites. Practical implications The paper will assist policy makers, business planners and solution providers to give importance to public-led influencing patterns to offer business solutions based on people demand and choices. Social implications The customers’ engagement, sharing reviews, getting suggestions from other people and finding new trends through user-generated content would enable higher social commerce activities. Originality/value The paper develops hierarchical relationships to represent the advancements in business and marketing activities based on influencing patterns and behavior of users over social sites.

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