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Strategic marketing, Downturn, Optimal utilisation of minimal resources, Consolidating profitability, Focus shift from features to benefits and cost savings.

Management students who have knowledge of basic concepts of management discipline to derive the maximum benefit and understand the applicability; budding entrepreneurs; middle- and senior-level executives in an executive development program; people running family-owned businesses.

In 2008-2009, the Indian manufacturing sector was facing stiff competition from China on account of the latter's ability to provide cheap labour and handle large volumes. The 2008-2009 economic down turn saw consumers cut down on their requirements with manufacturing companies getting fewer orders. Manufacturing companies therefore adopted the principle of optimal utilisation of minimal resources. Millennium Company Ltd (MCL) also succeeded in overcoming the 2008-2009 downturns through a shift in focus during the recession of 2009 from achieving pure revenue to consolidating its profitability. MCL is probably the only company in the world to have extensive expertise in both steam and control instrumentation. The dual expertise allows them to engineer industry-specific systems that focus on energy efficiency and utilities management for sectors as diverse as textiles, food processing, paper, power and chemicals etc. The company shifted its attention from features to benefits, cost savings, and profitability. MCL trained its people as to what to talk to whom. Today, MCL is a leader in India in process efficiency and energy conservation through technology tie-ups and focused investments in manufacturing and research.

The purpose of this case is to enable student managers to evaluate effectiveness of corporate strategies; make the student managers understand the resources–businesses–systems framework and the need for focused connection between these three through appropriate coordination and control mechanisms for a corporate strategy to deliver value; encourage students to apply their knowledge of Turnkey Projects, BCG/Porters/SWOT/Mackensys Model; encourage the students to research and find out how other companies in this field fared and what were the strategies adopted by them to overcome the recession and compete with MCL in a highly competitive market like that of India; and encourage student managers to go on field visits with the institute's help to similar organisations within the same city and if possible get live projects.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The purpose of this study is to gauge the awareness and perception of Indian individual investors about a new fintech innovation known as robo-advisors in the wealth management scenario. Robo-advisors are comprehensive automated online advisory platforms that help investors in managing wealth by recommending portfolio allocations, which are based on certain algorithms.

This is a phenomenological qualitative study that used five focussed group discussions to gather the stipulated information. Purposive sampling was used and the sample comprised investors who actively invest in the Indian stock market. A semi-structured questionnaire and homogeneous discussions were used for this study. Discussion time for all the groups was 203 min. One of the authors moderated the discussions and translated the audio recordings verbatim. Subsequently, content analysis was carried out by using the NVIVO 12 software (QSR International) to derive different themes.

Factors such as cost-effectiveness, trust, data security, behavioural biases and sentiments of the investors were observed as crucial points which significantly impacted the perception of the investors. Furthermore, several suggestions on different ways to enhance the awareness levels of investors were brought up by the participants during the discussions. It was observed that some investors perceive robo-advisors as only an alternative for fund/wealth managers/brokers for quantitative analysis. Also, they strongly believe that human intervention is necessary to gauge the emotions of the investors. Hence, at present, robo-advisors for the Indian stock market, act only as a supplementary service rather than a substitute for financial advisors.

Due to the explorative nature of the study and limited participants, the findings of the study cannot be generalised to the overall population. Future research is imperative to study the dynamic nature of artificial intelligence (AI) theories and investigate whether they are able to capture the sentiments of individual investors and human sentiments impacting the market.

This study gives an insight into the awareness, perception and opinion of the investors about robo-advisory services. From a managerial perspective, the findings suggest that additional attention needs to be devoted to the adoption and inculcation of AI and machine learning theories while building algorithms or logic to come up with effective models. Many investors expressed discontent with the current design of risk profiles of the investors. This helps to provide feedback for developers and designers of robo-advisors to include advanced and detailed programming to be able to do risk profiling in a more comprehensive and precise manner.

In the future, robo-advisors will change the wealth management scenario. It is well-established that data is the new oil for all businesses in the present times. Technologies such as robo-advisor, need to evolve further in terms of predicting unstructured data, improvising qualitative analysis techniques to include the ability to gauge emotions of investors and markets in real-time. Additionally, the behavioural biases of both the programmers and the investors need to be taken care of simultaneously while designing these automated decision support systems.

This study fulfils an identified gap in the literature regarding the investors’ perception of new fintech innovation, that is, robo-advisors. It also clarifies the confusion about the awareness level of robo-advisors amongst Indian individual investors by examining their attitudes and by suggesting innovations for future research. To the best of the authors’ knowledge, this study is the first to investigate the awareness, perception and attitudes of individual investors towards robo-advisors.

Innovation is the way of life and we see various innovative techniques and methods being introduced in our daily life. This study aims to focus on digital innovation in the wealth management domain. This study examines the effect of usage of robo-advisory services in investment decision-making and behavioural biases, i.e. overconfidence and loss aversion. Such studies are more pronounced in developed countries and little has been studied about investor behaviour in association with advisory services in developing countries such as India.

Overconfidence and loss-aversion biases, investment decision-making and advisory services questions are measured using a five-point Likert scale. The number of respondents was 172 investors. A purposive sampling is used for gathering responses from investors. Structural equation modeling model was run using AMOS 22 version software package.

The authors found that behavioural biases positively and significantly influence the irrationalities of investment decision-making. The findings of this study also provide empirical evidence that the usage of robo-advisory services, by individual investors, is still incapable of mitigating behavioural biases, such as overconfidence bias and loss-aversion bias.

The sample size of this study could be a limiting factor. This study is limited only to two biases, while other behavioural biases affect the investment decision-making of the investors, which can be considered for future research along with the impact of robo-advisory services in different socio-cultural backgrounds.

This study will assist fintech start-ups, banks, architecture of robo advisors, product owners and wealth management service providers improvise their products, platforms and offerings of these automated advisory services. This could help individual investors to mitigate their behavioural biases in investment decision-making.

This study is useful to society as the awareness of robo-advisory services is very less, at present, and there is a need to increase the usage of these services to extend the benefit of this to the lower stratum of society. These services would be useful to all investors who find it difficult to afford financial advisors and help them mitigate their behavioural biases for investment decision-making.

This study is the first of its type that establishes the linkage between behavioural biases, digital innovation in fintech, i.e. robo-advisory services and individual investor’s investment decision-making in individual investor of the Indian stock market.

The novel blockchain technology can be leveraged, owing to the growth in computing power and its widespread applications. This study aims to understand the challenges of adopting blockchain technology in the financial sector, organise them into a model and classify them for systematic address.

Interpretive Structural Modeling (ISM) has been carried out along with MICMAC (Matrice d’impacts croisés multiplication appliquée á un classment) analysis to hierarchically structure blockchain adoption problems and categorise the challenges into four classes-autonomous, dependent, linkage and independent for better addressing. The study also uses content analysis using NVivo software.

The digraph depicts the hierarchical challenge model. Vulnerability to financial crimes and glitches, privacy issues and geopolitical tensions due to cross-border transactions are the dependent variables. Complex architecture to comprehend, code and fix, the need for new financial intermediaries, complexity in auditing and the lack of unified governance and coordination among institutions and regulators are the independent variables. The digraph, which is also justified by the qualitative content analysis, is beneficial for stakeholders to systematically address the interdependent challenges associated with blockchain implementations in finance to foster its favourable adoption.

The challenges in the adoption of blockchain should be resolved to allow the implementation of this technology in various finance domains. This study enables organisations to carry out resource planning and systematically address these challenges to leverage the advantages of blockchain.

The results of the present study can help in promoting the proliferation of blockchain for faster, cost-effective, transparent and secure financial transactions and foster innovative and new business models for economic growth.

The development of technology has brought about significant changes in the financial sector. Blockchain is a technological advancement that aims to bring security and transparency to transactions. There has been no research leveraging ISM-MICMAC to hierarchically organise and classify the blockchain challenges in the financial sector, a critical one. The research also uses content analysis which is seldom found along with ISM-MICMAC.

The case focuses on the importance of the brand-building process, which takes place in B2B companies. Commodity companies focus a lot on the sales and distribution aspect of their marketing strategies but do not emphasize the importance of developing their brands. At the end of the discussion, the participants would be able: to examine the steps involved in conceptualizing the brand identity for an existing product in a highly competitive B2B market, as per Kapferer’s Brand Identity Matrix. To understand the steps involved in the journey of internal and external brand-building processes in B2B. To analyze the various challenges and issues faced by large organizations dealing in the metals and commodity business.

The case discusses a marketing challenge faced by Jindal Steel and Power Limited (JSPL) in launching a new brand of thermomechanical treatment (TMT) products in the market. Traditionally, the company had focused on the sales and distribution aspect of their marketing strategies but did not emphasize the importance of developing their brands. This case is based upon the challenges faced in the creation of a new brand identity for JSPL’s TMT products by the protagonist, Mr Paras Sharma (who is the brand custodian and manager in this case).

Postgraduate/Masters in Business Administration (MBA), Masters in Management Studies, Executive MBA.

Teaching Notes are available for educators only.

CSS 8: Marketing.

Purpose – This chapter attempts to understand the impact of war, conflict, and forced migration in the northwest border of India on the security of the aged widows and the ways they respond, construct, and negotiate their lives.

Methodology – The study is based on group discussions in villages and camps and narratives of seven widowed women who were asked to tell the story of their lives.

Findings – The chapter highlights that widowed women's agency was exercised in a significant manner during the situations of war, conflict, and forced migration, but it was largely circumscribed by the intersection of patriarchy, rural structure, customary practices, and inheritance rights. New norms and new roles were taken up in the migrant camps, but village life with its traditional extended family structure was still considered ideal for the social security it provided. However, aged widows are no longer treated with respect and care, suggesting a decline in the traditional joint family system and of the dominant position of elderly widowed women in it. This was accelerated in conflict situations.

Research implications – The research calls for focusing on women's agency and moving beyond the victimhood paradigm in women's studies. It highlights the significance of individual interpretations of events and the relevance of qualitative methods such as life stories.

Value of chapter – The chapter is valuable for its work on themes such as rural life, gender, and conflict studies and for policy makers to initiate plans dealing with the problems of forced migrants and of the security of the older people, particularly widows.

This study systematically explores the patterns and connections in the behavioural bias and investment decisions of the existing literature in the Scopus database published between 2007 and 2022. The purpose of this paper is to address this issue.

In the article it was determined which contributed documents were the most significant in this particular subject area along with the citations, publications and nations that were associated with them. The bibliographic coupling offered more in-depth insights into the papers by organizing them into distinct groups. The pattern of the publications has been brought to light, and the connection between different types of literature has provided insight into the path that future studies should take.

This study considered only articles from the Scopus database. Future studies can be based on papers that have been published in other databases.

The outcome of this study provides valuable insights into the intellectual structure and biases of investors and adds value to existing knowledge. This review provides a road map for the future trend of research on behavioural bias and investment decisions.