The association of Industry 4.0 and supply chain management assures tremendous growth and developmental opportunities towards manufacturing organizations. The two aspects (Industry 4.0 and supply chain management) are one of the most opted choices for research among academicians and researchers. The study in question accommodates 884 papers from past 10 years, which contributes towards Industry 4.0, supply chain management, cyber-physical systems, digitization, Internet of Things, and Big Data predictive analytics. The statistical tools include BibExcel and Gephi for bibliometric and network analysis. The results are presented in the form of top contributing authors, keywords, and citations. The article also shares a conceptual model based on the review of studies. The findings will help managers or officials to understand the importance of Industry 4.0 and its association with supply chain management. The formed clusters and their associations are providing new areas that require managerial attention. The article ends while discussing the current and future scope of research.

The present paper summarizes the impact of power interruptions on the commercial sector of Punjab, a fast developing state of India. Punjab State Electricity Board, a state public sector undertaking is the only organization in Punjab responsible for generation, transmission and distribution-of electricity Commercial consumers of Punjab, on whom the present study is based, have a connected load of 9,02,633 Kw, and a total of 5,33,717 connections, which is a major part of the total load .It is the fastest growing in terms of the load demanded and new connections. PSEB distinguishes its customers into four groups; industrial, residential, agricultural and commercial. All the organizations in the state having an electric connection termed as commercial by the utility we;e a part of the study. The primary purpose of the study is to establish monetary losses associated with various levels of unreliability. The most direct and usable form of customer perceived interruption costs is the customer damage function [ 11.CCDF can be converted to an Interrupted Energy Assessment Rate (IEAR) in order to incorporate the customer costs in planning further studies 121. These cost profiles can be used in the utility's planning and decision-making.

The concept of Customer-based brand equity (CBBE)

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Artificial intelligence has led to the automation of traditional manufacturing and industrial processes and practices. The use of artificial intelligence improves customer experience and it's a proven fact that consumers who enjoy their shopping experience end up making more purchases. Retailing is one of the sectors that has seen drastic changes after the inception of artificial intelligence. This transformation can be seen in the supermarkets like Amazon Go store, Alibaba Hema store, IKEA, and many others. The objective of this chapter is to study the impact of artificial intelligence on Indian retail customers. Primary survey was conducted for the study and it was found that retail organizations emphasizing store design/layout and adoption of technological innovation to ease the consumer buying process were more successful in creating loyal customers for their stores. It can be concluded that India is still lacking in the adoption of IT systems in the retail sector and serious efforts are required in this direction.