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Purpose of this paper is highlight the importance of adopting FinTech innovations to improve Customer Retention

Authors viewpoint and give a macro perspective of FinTech-Customer Retention linkages.

Adoption of FinTech innovations is essential for customer retention.

Many large B2C players are moving strongly ahead with adopting FinTech driven payment solutions. Competitors which ignore this trend, stand to lose customers in the long run.

FinTech is a new and developing industry. There has been limited research into its usage by non-financial corporates and impact on customer retention.

The instructor can use this for covering the concept of competitive advantage and valuation. To explore the relationship between superior profitability with business model and identify the source of competitive advantage. Determining the value of business through discounted cash flow (DCF) approach.

This case is based on the growth path of a retail chain company, DMart (Avenue Supermarket Private Limited), in the rapidly growing organized retail industry in India. It operates a unique business model that garners significant revenue growth with high profitability. The case covers the competitive advantages of DMart with respect to its peers and its valuation through the DCF model.

The case is suitable for teaching basic courses in corporate valuation and strategy at the post-graduate level. The following courses can also make use of this case: financial management, corporate finance and strategic management in emerging markets.

Teaching Notes are available for educators only.

CSS 1: Accounting and Finance.

The board of directors of an organization can contribute considerably to the transition to a sustainable global economy by accommodating environmental, social and governance (ESG) measures in the directors' business model. Along these lines, the purpose of this research is to understand the nexus between the board's structural attributes and sustainability disclosures in an emerging economy such as India.

The authors investigate this link using the system generalized method of moments (SGMM) panel regression on a sample of firms from the National Stock Exchange (NSE) Nifty 100 Index from 2013 to 2020. This econometric framework controls endogeneity among the variables, which has been a gap in the previous studies.

The authors find that board structural attributes, like board size, gender diversity, chief executive officer (CEO) duality and independence, have little bearing on sustainability disclosures of Indian companies. However, the board of directors, through the board's company's social responsibility (CSR) committee, strives for sustainability practices in Indian organizations. The authors also find that larger companies are more willing to disclose on ESG efforts than smaller ones, but the financial performance of the smaller ones (as proxied by Tobin's Q) does not matter.

This study is restricted to a sample of large cap listed companies and specific environment, resulting in the non-generalizability of the findings to different contexts because countries vary in their state of economic development, internal policy, regulations and governance.

A mandated CSR committee has helped Indian businesses to publicize their sustainability efforts. Besides the frontrunner in CSR regulations, Indian organizations have paid least attention to the environmental pillar of the ESG framework. Accordingly, the board of directors should put more emphasis on the environmental aspects of their business' sustainability efforts to help achieve sustainable development goals (SDGs) in the medium term and net neutrality in the long term.

From the standpoint of an emerging economy like India, which has statutory CSR mandates for firms, this research adds a fresh perspective on the relationship between corporate governance and corporate responsibility by employing stakeholder theory, which is further substantiated by the use of system GMM as a robust methodology. This study also emphasizes the significance of a mandatory CSR committee as a facilitator of sustainability practices and reporting in emerging economies.

Green banking has evolved in the financial sector to reduce the negative impact of economic progress. However, customers’ behavior remains indifferent towards bank’s green initiatives across nations. Therefore, this study examines the various factors affecting the behavior of Indian banking customers towards green banking by extending the theory of planned behavior (TPB).

The study employed a quantitative research approach and distributed a self-administered questionnaire. Data from the 293 green banking service users in India’s Delhi-National Capital Region (NCR) have been collected using purposive and snowball sampling techniques. SPSS 26 and SmartPLS 3 were used to analyze data.

The findings explained that environmental concern substantially predicts customer attitude, subjective norms and perceived behavior control towards green banking. Moreover, all the constructs within the TPB model were found to substantially impact customers’ inclination to adopt green banking, thereby leading to actual behavior.

Academically, the findings have broadened the TPB model’s application by adding a new construct in the context of green banking while confirming its applicability. Practically, it advises financial regulators and banking personnel to prioritize establishing a conducive environment for customers, characterized by the accessibility of green banking services under favorable conditions and at affordable rates.

The study enhanced the understanding towards green banking by correlating different variables and extending the TPB model using SmartPLS 3 in the domain of green banking.

This paper aims to examine the interrelationships of monetary policy's structural shocks, the real exchange rate and stock prices.

According to quarterly data, variables such as gross domestic product, consumer price index, the real exchange rate, stock price and monetary policy indices in the structural vector autoregressions model are estimated. These variables' volatility is attributed to other variables’ structural shocks separately, and analysis of variance tables for all variables is presented.

The results show that structural shock on the exchange rate does not affect the stock price, but the monetary policy's structural shock positively impacts the real exchange rate. Moreover, the real exchange rate and monetary policy's structural shocks have a negative impact on the stock price index. However, no significant effect is found pertain to the real exchange rate structural shock, statistically.

To the best of the authors’ knowledge, the current study model is relatively novel in developing countries, and the study sought strength to develop knowledge on the subject of the study.

The study investigates the relationship between social presence dimensions and customer brand engagement (CBE) as well as the relation between customer brand engagement and purchase intention (PI) in the fashion retail metaverse with self-efficacy moderating between CBE and PI.

The data were gathered by conducting an online survey (n = 476) from young adults exposed to fashion retail metaverse platforms. The collected data were analyzed using structural equation modeling.

The findings discovered that social presence dimensions positively impact CBE, which substantially impacts the PI of young consumers in the fashion retail metaverse. The findings demonstrate that self-efficacy moderates the relationship between CBE and PI.

This study uses cross-sectional data in the fashion retail metaverse for young consumers. Future studies can use longitudinal data in the context of other industries and demographic profiles to assess changing customer behavior.

This study implies that customer experiences can be enriched through social presence dimensions, helping brands adapt their offers to create more engaging and rewarding customer interactions. It offers insights for brand managers aiming to augment the relationship between CBE and PI.

The study uniquely explores the relationship between social presence dimensions and CBE within the fashion retail metaverse. It examines self-efficacy as a moderator between CBE and PI, providing fresh insights into consumer behavior in the fashion retail metaverse.

Artificial intelligence (AI) has profoundly reshaped financial decision-making, introducing a paradigm shift in how institutions and individuals navigate the complex finance landscape. The study evaluates the significant impact of integrating advanced AI and large language models (LLMs) in financial decision analytics.

The study offers FinSageNet, a novel framework designed and tested to harness the potential of LLMs in financial decisions. The framework excels in handling and analyzing large volumes of numerical and textual data through advanced data mining techniques.

FinSageNet demonstrates exceptional text summarization capabilities, outperforming models like FLAN and GPT-3.5 in Rouge score metrics. The proposed model has shown more accuracy than generic models.

The study emphasizes the significance of consistently updating models and adopting a comprehensive approach to integrating AI into financial decisions. This study improves our understanding of how artificial intelligence transforms financial analytics and decision-making processes.

The purpose of this paper is to evaluate the value of internship as a function of the disparity between the initial expectation from the internship and its actual experience. The perceived internship experience has been evaluated through the expectation confirmation theory (ECT).

A sample of 106 students pursuing Master of Business Administration in a business school in India were administered a questionnaire to assess their expectations and experience before and after the internship. The self-designed questionnaire based on review of extant literature on internship included items related to supervisor–intern exchanges, significance of prior classroom academic preparation, prior work experience and perceived learning value. Students’ assessment scores on the internship project were taken as the outcome variable.

Pre- and post-analysis of perceived internship value indicated a positive expectation disconfirmation. The result indicates that “Positive Expectation Disconfirmation” has a significant direct relationship with overall satisfaction with internship. Structural equation modeling further revealed that perceived quality of the supervisor–intern exchange has a significant relationship with perceived internship value. Perceived significance of classroom academic preparation has a weak negative relationship with both perceived internship value and internship performance. Perceived internship value has a weak positive relationship with internship performance.

It is first time an attempt has been made to look into the issue of internship from the ECT.

This hypothetical case study aims to revisit the classical model given by Henri Fayol whereby he put forward a set of 14 principles to guide managers in decision-making across organizations. The case study showcases the dilemma in which the top manager of an automobile company finds himself when some of the very basic principles – on which the whole discipline of management is founded – are ignored. It will also serve as an aid for faculty members in B-Schools to teach students the significance of basic management principles postulated many years back which stand relevant even in contemporary times.

This case study is based on a hypothetical scenario in the corporate world. Different incidents in a fictitious automobile manufacturing firm are presented and the corresponding principles given by Henri Fayol are inferred.

This case study highlights that decision-making gets complicated if fundamental principles of management are not complied with. The decision taken during each and every situation which has been discussed in this case study is contrary to the correct course of action as propounded by Fayol. Modern-day managers must acknowledge the relevance and importance of these principles for achieving success in business.

This case study underscores that even in this volatile business environment where most of the management practices are technology-driven, we cannot disregard the most elementary rules of management. The managers working at different levels in the organizational hierarchy may be guided to make the right decisions in situations similar to the ones described.

Micromax is an Indian consumer electronics company which began by selling mobile phones. In early 2014, Micromax ranked third in the mobile handsets category in India, behind Nokia and Samsung. The case is set in 2014, a watershed year for Micromax. It has to make decisions related to the future direction of the company. There are various options available, such as expanding into other consumer electronics and consumer durables categories, expanding outside India, etc. Micromax had recently introduced premium smartphones, and there had been a gradual shift in its target segment from rural to more upmarket consumers. Micromax aspired to be considered among the best brands in the world; however, the company was unsure of how to move forward. Its leadership had to decide on the right positioning for Micromax.