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1. To analyze the various business models and choose the best model to contribute maximum profit to the company.2. To understand the importance of customer management with the help of the Net Promoter Score in the food retail context.3. To develop customer loyalty strategies and implement them to improve customer management?

39 Bakers, a multi-outlet bakery chain in Jammu, India, is run by its founder Gagan. 39 Bakers, through its retail outlets across the Jammu region, offers a variety of products, ranging from bakery items that include blends of Indian and Italian cuisines, offering more than 1000 stock keeping units (SKUs). Through its high-quality offerings at an affordable price range, the brand has carved a niche in the hyper-competitive bakery market of the Jammu region. Gagan, has closely seen the Jammu market and customer preferences and strongly perceived that the customers in the Jammu region are very price sensitive. Thus, he has always been very reluctant to increase the prices of his product offerings at 39 Bakers. He has always believed that any drastic price rise may lead to immediate dissatisfaction and customer churn and therefore has not increased the prices at 39 Bakers for two years in a row. While this decision of Gagan paid off in terms of its popularity and recognition as one of the highly recommended bakery chains among customers, it drastically impacted the bottom line (i.e. profitability) at 39 Bakers, especially in the year 2020–21. Getting popularity at the cost of dipping profitability made Gagan rethink his decision to be protective of price increases at 39 bakers. How can he measure customer satisfaction and loyalty? Which loyalty strategies will work for the huge customer base of Jammu? Should he change his business model from B2C to B2B? How can loyalty be established? How can he manage his existing and loyal customers through price increases?

The case study is suitable for undergraduate and postgraduate courses in Marketing Management and Retail Marketing. The case study’s focus can be on the importance of pricing, business model evaluation, customer management analysis, customer loyalty, Customer Loyalty analysis, and net promoters score. The case can also be useful to entrepreneurs and regulators.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

The study explores the relationship between entrepreneurial cognitive styles, entrepreneurial orientation (EO) and innovation performance (IP) of organizations in northern India. It also investigates how the cognitive styles of entrepreneurs impact their orientation and influence their innovative performance.

A quantitative research design validates the proposed hypotheses. A survey was conducted using simple random and snowball sampling to gain responses from 150 entrepreneurs based in northern India. The structural relationships in the study were examined using ANOVA (Analysis of Variance) which is a statistical method used to assess whether there are significant differences in means amongst groups by comparing the variance.

Data analysis revealed that entrepreneurial cognitive styles significantly and positively impact EO. The innovativeness and proactiveness dimensions of EO affect IP.

Previous researchers have worked independently on cognitive style and EO. The present paper combines the impact of cognitive style and EO on IP to identify the missing links between the three constructs, which need to be added to the existing literature. The authors' findings are valuable for entrepreneurs seeking to identify the key factors contributing to developing effective strategies at the firm level, thereby driving IP. Furthermore, the authors' insights would assist potential entrepreneurs in distinguishing between the different cognitive characteristics that differentiate entrepreneurs from non-entrepreneurs and how they strategically decide based on market situations to enhance IP.

This study aims to identify the enablers of human resource (HR) digitalization and HR analytics. This paper also aims to build a relationship map using interpretive structural modeling.

A systematic literature review is used to identify the key enablers of HR digitalization and HR analytics. Ten expert opinions have been taken from the key officials of IT firms located in New Delhi North Central Region.

This study is focused on the enablers of HR analytics. It is found that change management (CM) in the organization is the key enabler of implementing HR digitalization and analytics in an organization. However, other elements like learning culture, training and development, E-learning management and HR transformation (HRT) play a vital role in implementing HR analytics. It is also found that implementing artificial intelligence for HR practices is the ultimate goal for every organization.

Management teams in IT firms should focus on the continuous learning process in the organization. The CM should be expedited for digitalization and adoption of HR analytics. Managers must go through the ramification of HRT, which possesses diligence in HR analytics and artificial intelligence.

This study explicitly talks about the enablers of HR digitalization and HR analytics. It also explores the relationship between the enablers. This study also describes the driving and dependence power of all the enablers.

This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as well as in the present, with implications for the near future. It uses bibliometric analysis combined with a systematic literature review to identify themes, trace historical developments and offer a direction for future human–machine interactions (HMIs).

To provide thorough coverage of publications from the previous four decades, the first section presents a text-based cluster bibliometric analysis based on 305 articles from 2,293 initial papers in the Scopus and Web of Science databases produced between 1984 and 2022. The authors used VOS viewer software to identify the most prominent themes through cluster identification. This paper presents a systematic literature review of 63 qualified papers using the PRISMA framework.

Next, the systematic literature review and bibliometric analysis revealed four major historical themes and future directions. The results highlight four major research themes for the future: from Taylorism to advanced technologies; machine learning and innovation; Industry 4.0, Society 5.0 and cyber–physical system; and psychology and emotions.

There is growing anxiety among humankind that in the future, machines will overtake humans to replace them in various roles. The current study investigates the evolution of HMIs from their historical roots to Society 5.0, which is understood to be a human-centred society. It balances economic advancement with the resolution of social problems through a system that radically integrates cyberspace and physical space. This paper contributes to research and current limited knowledge by identifying relevant themes and offering scope for future research directions. A close look at the analysis posits that humans and machines complement each other in various roles. Machines reduce the mechanical work of human beings, bringing the elements of humanism and compassion to mechanical tasks. However, in the future, smart innovations may yield machines with unmatched dexterity and capability unthinkable today.

This paper attempts to explore the ambiguous and dynamic relationships between humans and machines. The present study combines systematic review and bibliometric analysis to identify prominent trends and themes. This provides a more robust and systematic encapsulation of this evolution and interaction, from Taylorism to Society 5.0. The principles of Taylorism are extended and redefined in the context of HMIs, especially advanced technologies.