VOLUME 1: Issue 1

JANUARY 2023 - JUNE 2023

Role of Corporate Entrepreneur-ship, Innovation and Customer Relationship Management in Or-ganizational Performance by Hsin-Hui “Sunny” Hu, Hsin-Yi Hu, H.G. Parsa

Customer relationship management plays a vital role in a hospitality firm’s innovation. Corporate entrepreneurship is responsible for stimulating innovation within an organization through the examination of potential new opportunities, resource acquisition, implementation, exploitation, and commercialization of new products/ services. This study examines the effects of customer relationship management and corporate entrepreneurship on restaurant innovation, followed by an investigation of the effect of innovation on organizational performance, financial and non-financial. The study has placed particular emphasis on exploring the mediating role of restaurant innovation in the relationships amongcustomer relationship management and corporate entrepreneurship as well as organizational performance.

Our findings suggest that financial performance in the restaurant sector is strongly influenced by innovation which in turn is affected by CRM and corporate entrepreneurship. CRM is the driving force for performance in restaurants as it also affects corporate entrepreneurship. Thus, independent restaurateurs need to focus on innovation so that they may gain a competitive advantage over chain restaurants through greater nonfinancial performance.

Does Firm Age Affect Cash Policies? By Rajeeb Poudel, Haowen Luo, Ravi Jain

This study investigates the linkages between firm age and cash holdings. We document that younger firms keep more cash and that they have higher propensity to save cash from their cash flows in comparison to older firms. These linkages are robust to controlling for firm size, and other control variables known to affect cash policy. Our finding is consistent with the idea that younger firms face more financing frictions than older firms and hence have stronger need to save cash. One important implication is that start-ups with more cash savings are better able to survive in the long run than those with less cash savings.

Entrepreneurial Education: Integrating Knowledge, Skill and Practice by Kamlesh Misra, Kirti Dutta, Sanjiv Chourasia

Entrepreneurship is gaining special focus and thrust in India not only in the government policy and decision making but also in the education sector. The current paper looks at the model that can be adopted in ensuring that knowledge and skill is delivered along with the application of these for setting up a business venture. The outcome therefore is a degree in entrepreneurship and a venture that is ready to be launched on day one as the students step out of their college/university. This has an implication for educators as it gives a comprehensive view of imparting education. It also provides an opportunity for various stakeholders like venture capitalists, suppliers, bankers etc. to plough back into the society by guiding young minds while furthering their business interests

The Impact of Machine Learning and Data Science on Entrepreneurs and the Start-ups Ecosystem by Yadu Muntha

The startup industry is booming and advancing every day. New start-ups are getting funded every day, and investors are putting billions in new ideas which are solving the problem. Indian economy is growing at a faster rate, and startups are multiplying every year. India has 3rd largest startup ecosystem in the world and expanding with year-on-year growth of 12-15%. However, 90% of the Indian startups fail within the first five years of their starting as they lack in innovation and a proper revenue model. There are many other reasons, from lack of resources to weak economic policies are there behind the reason for startups to fail.

Almost every industry generates lots of data nowadays, which can be captured and, with the efficient collaboration of machine learning and data science, thereby can solve real problems and lead startups towards growth and leverage the Indian economy even higher. The role of machine learning and data science has moved much beyond from the experimental stage to the business world. The adoption of the two most advanced technologies of today: machine learning and data science, are evident in many enterprises. As much as the benefit of the two domains is increasing, it is becoming even more relevant for people to get clarity on their distinctive roles. This article will cover in-depth the distinct functions and use of machine learning and data science in business, startups, and real application, along with their important facts.

Consumer Preference & Electric Vehicles in India: Evidence from Delhi-NCR by Khushboo Aggarwal, Pooja Rathore, Kartik Gupta

Air Pollution is one of the major causes of morbidity particularly in emerging economies like India. This paper aims to study the association between consumers’ preference to buy Electric Vehicles (EV) and demand factors for EVs. Using the Least Squares Estimation and survey data collected from one of the poor-performing regions in India, Delhi-NCR, we find that consumers’ willingness to buy EVs depends on various factors such as budget, cheap electricity, fact charging, availability of charging stations, space and tax exemptions. Electric vehicles would lead to lower carbon emissions and thus decrease environmental degradation. Thus, adequate efforts are required by concerned authorities and policymakers to encourage manufacturers and sellers of Electric vehicles across different regions in India.

Beyond the traditional E-Com-merce: Evolution of Quick Com-merce in India, aspects and prospects by Ashish Awasthi

E-Commerce, as we know, refers to the selling of products and services over the internet through a website or an app. Since the advent of internet in India in the 90s, e-commerce has gradually emerged as a major medium for selling products and services. Improvements in the sector of Information Technology led to an exponential surge in e-commerce as a business model by various firms. Today, starting from travel tickets and fashion clothing to food and books, many things are available on e-commerce. In the last five years alone, many of the products and services such as medicines, salon services, education, job search etc. have come under the purview of e-commerce which proves that it is ever evolving. One of the latest developments to have happened in the e-commerce space is that companies are trying to reduce the turnaround time, i.e., the time elapsed between the receipt of customer’s order and product /services delivery to the customer. This has re-intensified the competition in the e-commerce space and has given rise to an altogether different version of e-commerce being called as ‘Q-commerce’ or ‘quick commerce’. Like e-commerce, it is a straight distribution system because it eliminates any middlemen like jobbers etc, but it faster than traditional e-commerce in reaching out to the customers. The current paper is an exploratory study on causes of development of q-commerce, the current scenario, its aspects as well as future prospects.

Case Study: Manyavar – An in-novative and digitally resilient brand by Terjani Goyal, Kirti Dutta

The case discusses the journey of Mr. Ravi Modi’s goal of reinventing men’s ethnic wear as a signature statement that has blossomed into a full-fledged retail enterprise. The case weaves the narrative of the company Manyavar, which is synonymous with wedding apparel and is a one-stop shop in India that drapes the world in joy and beauty. Since its inception, Manyavar has established itself as a top traditional wear brand that continues to dominate the sector. Its collaboration with multiple brand ambassadors, as well as how the company used social media to sell itself. The brand has extended its reach by offering target centric approach having wide penetration through its retail network and strong & prompt marketing activities. The brand experimented with different media mixes and the innovative approach and out-of-the-box thinking increased the willingness of customers to visit the store.