With every changing product and service landscape the customer needs and their expectations are also evolving. In terms of quick delivery and quick response to customer queries an organization is left with no choice but to adapt to the latest technologies like Artificial Intelligence (AI). Artificial Intelligence is the capacity of machines to recognize, learn and make decision from its surrounding environment. This paper is an attempt to identify the ways how artificial intelligence is transforming marketing. It also aims to study the impact of awareness of AI on perception of use of AI with reference to different uses of AI during the customer journey. The select sample belongs to the area of Hyderabad and Secunderabad. Correlation and regression results showed that impact of awareness of AI on perception of use of AI with reference to voice search was found to be having significant influence. However, it was found that there was no impact of awareness of AI on perception of other four uses in the study. AI is one among the emerging technologies which is still in the introduction stage and to some extent an inscrutable event though AI is already impacting the customers lives in a big way.

Purpose- Every individual has different types of characteristics and personalities, and various factors affect their behaviour. The model embodying micro-organizational behaviour analyzes and determines the most critical factors that affect individual action within an organization based on different goal priorities and moves onto optimize employee productivity better for leveraging the organizational performance. Design/Methodology/Approach- LINGO and optimization modelling software for solving non-linear, linear and integral programming problems are used in the paper. The methodology used for this study is the goal programming method. The goal programming model simultaneously takes up many objectives, and it seeks to cater to the best solution amongst the set of feasible solutions. Researchers use an efficient analytical framework to furnish optimal solutions for a given set of different and conflicting goals encapsulating the problem. The various selection criteria used in this study are worker's happiness, Cooperation, job security and employee productivity. The underlying sub-criteria like Turnover Rate, Absenteeism Rate, Retention Rate, Productivity Rate, Length of Service and Job Satisfaction Rate are the basis of the formulation of goal priorities.

Recently, profitability is considered as a central issue to the company's overall operational activities and improving the company's financial performance is highly contributing to the development of the country economy. This study intends to investigate the driving factors of profitability in the insurance sector in Ethiopia with special reference to non-life insurance companies, data obtained from audited financial statement of twelve (12) insurers for a period of six years (2011-2016) with total of 72 observations through panel data by using OrdinaryLeast-Square (OLS). The results of panel least square regression analysis indicate that industry concentration ratio and leverage have statistically significant and positive impact whereas diversification, underwriting risk and reinsurance dependence has a negative and statistically significant relationship with non-life insurance companies' profitability. However, there were no support of firm liquidity, real GDP growth rate and Inflation impact on profitability of non-life insurance companies in Ethiopia. In this study, the perceived drivers of profitability was estimated as a result of low amount of revenues collected from the general insurance in Ethiopia The management bodies of non-life insurance companies (line) should give high attention on firm and industry related variables, particularly by adopting better risk management strategies as well as better internal control to achieve superior profitability.

An initial public offering (IPO) is the sale of shares by a firm to the public for the first time in the primary market. Companies do this in order to raise money for a variety of reasons which include expansion, diversification, working capital financing, asset acquisition, debt restructuring, and so on. Many investors participate in IPOs with an eye to generate wealth in the long term whereas some others invest with the hope of earning through premium listing of IPOs. However, several factors influence the listing price of an IPO and, therefore, not every IPO lists at a premium. Whereas a substantial corpus of literature is available as regards the several facets of the post-IPO stock return performance of new listings, there is negligible documentation available about the factors that result in discount listing of an IPO as also the impact of factors like Grey Market Premium, Financial Performance and Subscriptions of retail investors on the discount listing of an IPO. This research study aims to fill this gap by identifying and analysing the relationship between the above mentioned factors and the discount listing of selected IPOs. The study was performed using secondary data collected from Chittorgarh.com, Moneycontrol.com, Ipocentral.in, Ipowatch.in and Tradingview.com, Livemint.com, nseindia.com and from the annual reports of companies which debuted with IPOs during the period 2019- 2021.

The automobile sector is one of the most and growing and contributing sectors to the Indian economy. The Indian automobile sector companies' fund's composition and their velocity of operational activities or manufacturing velocity are significantly different. There are absolute and relational differences that have been seen in the context of their resources and their composition and frequency of utilization of the resources in the leading companies of the Indian automobile sector. The study considers the capital structure, inventory turnover, and its impact on the financial performance of the Indian automobile sector companies. The pooled regression, panel fixed, and random-effects models were applied to analyze the impact of capital structure and inventory turnover data on the financial performance of the Indian automobile sector companies for the period 2012 to 2020. The study considers the panel results with fixed and random effects in two models with ROA(return on assets) and ROCE (return on capital employed) as dependent variables. The study extracted the negative relationship between the D/E (debtequity) ratio and financial performance while the positive relationship between the assets turnover ratio and the financial performance of the Indian automobile companies.The study isfruitfulforthefinancemanager in defining the optimum capital structure in the Indian automobile sector andproductionmanagerintheoptimizationofthe inventory.

With the development of technology, traditional promotion activities have been replaced by modern and relational strategies. The primary goal of the companies was not only to sell their products to their customers but to conquer their hearts to gain higher customer lifetime value. Although Black Friday means profit for most companies, it is criticized by conscious consumers for triggering over-consumption. Recognizing that traditional marketing strategies are no longer sufficient to gain the loyalty of environmentally conscious consumers, nowadays global brands show the courage to give the message "do not buy my product" to consumers. This paper presents a conceptual investigation into the use of green demarketing during Black Friday worldwide. In this context, anti-Black Friday communication campaigns of ten different global brands were examined. The findings of the research showed that these brands have emphasized sustainability along Black Friday and temporarily gave a “do not buy” message to their consumers. Even if these corporate social responsibility practices of brands are not real demarketing practices, it has been concluded that companies use demarketing as an important tool in creating a sustainable and responsible brand image. The main theoretical contribution of this study is to present researchers with a new perspective different from traditional demarketing practices.

India is one of the developing nations where most of oil and gas requirements are fulfilled by importing them. Price fluctuations in the global market creates a big impact on the economy. Lockdown called by the government of India cut the demand for fuel as there was no consumption of it as vehicular movement was stopped. Oil and gas sectoral indices along with all the companies enlisted in this index are studied. The study intends to find if there is any impact in the energy sector of the National Stock Exchange(NSE) of India along with finding if there are any abnormal returns. The period of study is from 30th May 2019 to 13th May 2020. The event study methodology is used for the study along with Kolmogorov-Smirnov, Shapiro-Wilk and Wilcoxon Signed Ranked Test. The study reveals that there is some abnormal return on a certain date. The market and return data are not normally distributed. The companies under study have a positive correlation which moves in unison with the sector index.

Improving customer experience and engagement has become a problem for organisations as customer expectations continue to rise. Faced with increased competition from organised retail, India's unorganised sector has sought to change its working practises in order to provide a better consumer experience. It is being believed that unorganised retail may benefit from the use of modern technology, which has enormous potential for enhancing consumer experience, customer engagement, and retail sales. Since technology for the purpose of customer experience entails usage by customers therefore, it becomes pertinent to understand their perceptions before investing resources in modern technology. The current study seeks to examine relationship between customer engagement, customer experience and smart retail technology in the context of unexplored unorganized retail sector. The results indicate a significantrelationship between the three variables. Thisstudy hassignificant implicationsfor unorganized retailers.

For ages, India's allegiances with Japan remain free from any ideological, cultural, or territorial discord. Japan's impression in India has largely remained pleasant. Even direct trading begun during the Meiji era (1868-1912), once Japan straddled modernized persona. Similar character showed in 1991 when Japan supported India's balance of payments dilemma. Lately, these two have developed amicable relations that not only cover economic, commercial, and cultural exchanges, but also safety and security. Therefore, as significant opponents in Asia, they consented to the Japan-India Global Partnership in August 2000, recently ratified the India-Japan Comprehensive Economic Partnership (CEPA) in 2011 to meticulously diversify their long-established bilateral relations. Given this context study has been undertaken to better grasp the trade flows between India and Japan. In this study decadal information (2010 – 2020) has been analyzed by computing 'Trade Intensity Index'. Concludes Japan remains a significant trading partner to India in imports, as India imports more than it exports to Japan. Export Intensity Index dropped over the period from 0.47 in 2010 to 0.39 in 2020 and Import Intensity Index was 0.46 in 2010 and has smoothly sublimate to 0.67 in 2016 and then 0.74 in 2020. Unfortunately existing level of trade does not accurately reflect true power and ability, endows with an exquisite potential for Japan and India to trade together

As the second largest manufacturer and consumer of tea, India plays a leading rule in global tea market after China. The marketing of tea starts after production of final tea where different intermediaries participated in the market process. In this marketing process, the value addition is done for blending, packing and final marketing where handful multinational tea packers and brokers controlled the value chain. The value chain system determines the value of tea which includes the phases from tea leaf plucking from the bushes to final produce and sale for final consumption. At each stages of the supply chain, value is added to the tea leaves with associated cost. Tea Auction Centre plays a crucial role in the value chain system. Auction mechanism facilitates organise and reliable means of selling and buying of a large volume of tea in the specific time span. Auction organiser, Producer or Sellers, Brokers, Buyers, and Warehouse Keepers all participate in the process of auction. The brokers are the primary driving force in the auction process where large global corporations play an influential rule as well. In this context, the purpose is to study how value addition is made at different level of production and marketingoftea,prevailingIndian tea auction system and related issues.

The research studies how training needs analysis (TNA) can be nurtured within the constructions sector using different levels at organizational, team and individual. TNA has generated widespread interest both academically, theoretical and practical. However, previous studies have mostly performed at organizational level with few discussed at team level and individual level, especially in construction sector in third world countries who are struggling to catch up with the develop country in term of methodologies and technological advancement. This lead to lost their competitiveness in competing vigorously due to lack of training needs and organizational support. The study employ quantitative exploratory study design with sample of small and large construction firms in Kingdom of Saudi Arabia. Using questionnaire as a data collection method, the study employed PLS-SEM to test the hypotheses relationship. The result revealed that training need analysis at organizational level is the strongest while at individual level is weak having a positive and significant to organizational effectiveness in the constructions firms within the study area. The study also revealed that the training needs analysis at team level has an inverse relationship to organizational effectiveness. As perceived organizational support moderate the relationship, it was observed that POS moderate the relationship of all the variables with different degree to organizational effectiveness. The implications to theory and practice has been documented.