Purpose Although the consumption of luxury brands is significantly on the rise in emerging markets, a significant impetus is needed to boost their growth to achieve desired revenues and profitability. This paper aims to consider social media marketing activities and consumer-brand engagement as key constructs to realize these desired objectives. Design/methodology/approach The empirical relationships among social media marketing activities, consumer-brand engagement and consumer response have been examined with a sample of 465 respondents. Findings Social media marketing activities foster engagement among luxury brand consumers, translating into a favorable response. Besides this, informational marketer generated content (MGC) moderates the relationship between social media marketing activities and consumer-brand engagement. Practical implications Marketers can use the outcomes of this study to better engage consumers of luxury brands on social media platforms to engender a favorable response. Originality/value This paper highlights how consumers of luxury brands are engaged through different marketing activities in the social media context. Also, the moderating role of MGC has been explored.

Purpose There is a strong need for companies to monitor customer-generated content of social media, not only about themselves but also about competitors, to deal with competition and to assess competitive environment of the business. The purpose of this paper is to help companies with social media competitive analysis and transformation of social media data into knowledge creation for decision-makers, specifically for app-based food delivery companies. Design/methodology/approach Three online app-based food delivery companies, i.e. Swiggy, Zomato and UberEats, were considered in this study. Twitter was used as the data collection platform where customer’s tweets related to all three companies are fetched using R-Studio and Lexicon-based sentiment analysis method is applied on the tweets fetched for the companies. A descriptive analytical method is used to compute the score of different sentiments. A negative and positive sentiment word list is created to match the word present on the tweets and based on the matching positive, negative and neutral sentiments score are decided. The sentiment analysis is a best method to analyze consumer’s text sentiment. Lexicon-based sentiment classification is always preferable than machine learning or other model because it gives flexibility to make your own sentiment dictionary to classify emotions. To perform tweets sentiment analysis, lexicon-based classification method and text mining were performed on R-Studio platform. Findings Results suggest that Zomato (26% positive sentiments) has received more positive sentiments as compared to the other two companies (25% positive sentiments for Swiggy and 24% positive sentiments for UberEats). Negative sentiments for the Zomato was also low (12% negative sentiments) compared to Swiggy and UberEats (13% negative sentiments for both). Further, based on negative sentiments concerning all the three food delivery companies, tweets were analyzed and recommendations for business provided. Research limitations/implications The results of this study reveal the value of social media competitive analysis and show the power of text mining and sentiment analysis in extracting business value and competitive advantage. Suggestions, business and research implications are also provided to help companies in developing a social media competitive analysis strategy. Originality/value Twitter analysis of food-based companies has been performed.

Purpose The present research paper is an attempt to study how COVID-19 can affect the global sourcing practices of various supply chain intermediaries across the demand chain. This study aims to explore and is an attempt to understand the overall impact of COVID-19 on the sustainable operations of the firm such as sourcing, procurement, economic performance, social responsibility, consumption and distributions. Design/methodology/approach This study uses a quantitative technique using data collected from 708 respondents. Structural equation modeling (SEM) has been applied to test the proposed model and hypothesis. Findings The findings of the study suggest that sourcing practices, distribution and sustainability considerations of manufacturers, suppliers, distributors and retailers are affected by COVID-19 to a great extent but the pandemic has also led to making supply chain intermediaries understand the changing dynamics of the business scenario which can help them in their own strategic and business evolution. Research limitations/implications The current disruptions throughout global delivery chains caused by COVID-19 affect badly, the already poor-performing supply chains. Hence, the present study provides fresh insight on how organizations can limit the ill effects of COVID-19 by safeguarding some of their key sustainable operations in a post-pandemic business scenario. Originality/value The present study takes into consideration how core supply functions such as sourcing, distribution and manufacturing and various sustainable operations are disrupted by pandemic and its after-effects. This knowledge base can help business organizations to mitigate such problems/disruptions in the future.

This paper reviews literature on corporate governance and firm performance published from 1998 to 2019 in a comprehensive manner. The board characteristics such as board size, meetings, composition, and CEO duality are the main discussion points. The findings show that most of the studies have used panel data and statistical tools such as random effects, multiple regression analysis, or instrumental variables approach, etc. The citation analysis revealed that the most cited studies are Eisenberg, Sundgren, and Wells (1998) and Jackling and Johl (2009) in international and Indian contexts respectively. This compilation of past studies will stimulate scholars to identify the research gap in this area and pursue further research

The study examines the trends and patterns in remuneration of directors working for the largest 30 listed companies in India over the past 18 years, i.e., from 2002 to 2019. It tries to establish short-term and long-run relationships between the director’s remuneration and firm performance after controlling for the firm’s size, governance, leverage, and risk for the sample companies. The study found a significant increase in remuneration for the period of study, especially after the new guidelines on executive remuneration in the Indian Companies Act, 2013. It also confirms a change in the composition of the remuneration in the last five years wherein the proportion of fixed component (salary) has increased, and the component of variable components (bonus/commission, perquisites) have declined. Results also confirm a short-term bi-directional association between directors’ remuneration and firm performance variables. Further, the outcomes of the panel least square regression confirm the subsistence of a strong pay-performance association for the variable components of directors’ remuneration. Furthermore, the paper also found a positive relationship with board size indicating larger boards fail to exercise control on paying excessive remuneration to its directors. The positive relationship reported among directors’ remuneration and firm performance measures is partially in line with past studies (Chakrabarti, Subramanian, Yadav, & Yadav, 2012; Ghosh, 2006; Ozkan, 2011). However, our results contradict the existing relationship with board size and directors’ remuneration highlighting the need to strengthen governance mechanism in the Indian scenario.

This piece of contribution is the experience sharing from the finance educators teaching various finance courses at Indian Institute of Management Sirmaur.

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