Department of Management

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Author: search.filters.author.Nagpal, Gaurav

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    A Review of Innovation Diffusion Modelling Literature
    (CRC Press, 2020) Nagpal, Gaurav; Chanda, Udayan
    Birth of product innovations is a natural phenomenon that takes place as and when the ever-changing consumer needs are addressed. The examples of such innovation technology products are our mobile handsets, the WiFi routers, the microprocessors, the computational devices, and the data storage devices. Such innovations in the products take time to get diffused in the market. While some innovations prove to be successful, some may fail also if either the understanding of the consumer needs is inadequate, or the implementation of the innovation in terms of market entry strategy or operational strategy is faulty. There is plenty of literature on the diffusion modelling of innovations. This review aims to summarize the existing literature on diffusion modelling of innovations and bring about the research gaps that can be addressed in the future. While putting forward the research gaps, the authors attempt to give a due consideration to the contemporary needs of the industry in line with the evolving consumer dynamics and supply dynamics.
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    Cushioning the Economy From COVID-19: A Commentary on the Approaches Adopted by Major Nations
    (IGI Global, 2021) Nagpal, Gaurav
    The COVID-19 pandemic has left the world in complete disarray. Different economies around the world have tackled the COVID-19 pandemic differently, with several monetary and fiscal policies being introduced to combat the devastating effects the pandemic has had on the economy. This chapter focuses on some of the most economically powerful countries and their policies to overcome pandemic-related adversities. More importantly, it gives insights on how COVID-19 is different from earlier crises in terms of its characteristics and also in terms of the uniqueness of the initiatives taken by the major economies in mitigating its impact. The chapter also discusses how the new-age technologies can help manage this crisis better. The study also discusses the implications for the policymakers, the governments, the executioners, and the think tanks or consultants to the decision makers.
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    Recent Financial Reforms: A Case Study on Developing and Deploying an Income Prediction Model for a Personal Loan Portfolio
    (Apple Academic Press, 2021) Nagpal, Gaurav
    The core business of business-to-business-to-consumer financing organizations is in the field of corporate lending, housing finance, consumer finance, and asset management. The objective behind tins project is to build predictive model for Personal loan Portfolio and deploying it at the frontend afterward. Although with the help of this model, it will be easy to predict income of future as well as the existing customers in Personal loan portfolio. This model was further deployed on the cloud-based server of the company with the use of an application programming interface. Hence, when any new customer applies for a loan, the model will be triggered, and the predicted income of the customer will be generated. Hence, this predictive model will help in checking the financial health of the customers. This study touches upon Data Pulling and making it available for analysis followed by Data Preparation; Model building with the help of Machine Learning Algorithms; Out of time testing; Model Testing; Model Deployment, and Model re-calibration. Due to the sensitivity of the data worked upon and the exact model worked out, 310this chapter does not disclose the name of the organization where this model was deployed, and also does not mention the technical output of the model.
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    Disruption and Innovation Trends in the QSR Industry: Perspectives Drawn From India
    (IGI Global, 2022) Nagpal, Gaurav
    The QSR (quick service restaurants) industry in the emerging economies such as India is undergoing a wave of disruption and re-engineering. Many global brands in QSR food servicing have resorted to technology and innovation in one or more aspects of their value chain in order to maintain leadership positions in a market that is facing some fast-growing competition from various channels, especially with the penetration that service aggregators like Zomato, Swiggy, and Uber Eats have managed to gain. This study aims to establish a general direction towards which the QSR industry is progressing in India by examining not only the current trends in India but also the trends that are prevalent worldwide and which have the potential of diffusion to emerging economies like India.
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    Influence of Time on Efficiency of Indian Capital Markets: Proposition of a Recommendation Engine
    (IEEE, 2022) Nagpal, Gaurav; Nagpal, Ankita
    This study aims to investigate the influence of the time on the efficiency of Indian capital markets and to propose a recommendation engine that can assist as a feedback system for better investment actions and an efficient capital market. It uses the data comprising fifty stocks listed on the National Stock Exchange over a period from Jan'2015 to Dec'2020 to determine the capital market efficiency and its trends using three techniques: correlation test, residuals test, and runs test. The proposed recommendation engine can generate the implications of contemporary events on the stock prices which can further bring the pricing errors to the surface faster. It can also assist in enhancing the capital market's efficiency which leads to a reduction of arbitrage opportunities and faster removal of pricing anomalies in the market.
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    Traversing through the Use of Robotics in the Medical Industry: Outlining Emerging Trends and Perspectives for Future Growth
    (Productivity Press, 2022) Nagpal, Gaurav
    In this chapter, an explanation of the current and changing landscape of the global robotic surgery industry is discussed. It also uncovers a brief introduction to the innovations that are expected to take place in this industry, such as integration with artificial intelligence (AI) and the use of telepresence. The chapter also suggests how AI is going to be used in the future to automatically collect patient history using facial recognition, which can aid the surgeon in planning the preoperative map, combine various scans, and overlap them to form a final image, among others. Nevertheless, the study acknowledges the fact that the current usage of AI is only in the primary stage, and that paramount skill diffusion and concentrated effort are required to make AI practicable in medical healthcare. The chapter sheds light on the future growth aspects of robotic surgeries and the limitations of the existing ecosystem that hinder the adoption of the same. The information revealed in this white paper has been gathered by secondary research from various official websites, articles, publications, and surveys; and using primary research from the doctors, surgeons, consultants, and the manufacturers of robotics-assisted surgery (RAS) devices.
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    Conjoint Analysis based Predictive Analytics to study the employee attitude towards virtual and digital work practices in IoT work environments
    (IEEE, 2023-02) Nagpal, Gaurav; Nagpal, Ankita; Jasti, Naga Vamsi Krishna
    Covid-19 has been one of the most disruptive pandemics to date. Among the other aspects of disruption, it also disrupted the way people work in organizations. Many of the organizations surrendered their offices for good. However, there are many ill effects of these unconventional work practices also. This research study aims to explore the perception of the employees towards the adoption of Virtual and flexible work practices. The study uses a conjoint analysis approach on different possible Work Practice Profiles, that specify the nature of work (Virtual, offline, or hybrid), nature of work schedule (flexible, or fixed), nature of ownership (individual, or team), and length of working hours (8.5 hours, or 9.5 hours or 10.5 hours). The study finds that the number of working hours is the most important criterion for the employees followed by mode of work, responsibility, and work schedule.
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    Design and Deployment of Dynamic Performance Targets for the Lastmile Field Executives in eCommerce Logistics Industry
    (IGI Global, 2021) Nagpal, Gaurav; Srivastav, Prateek
    This chapter is an action research done for one of the largest eCommerce logistics organization (having presence in India) to design a working mathematical model which rates the field operations staff all around the country based on the dynamic targets depending upon different parameters, and then finally ranks the field executives relatively across the country. To ensure that the rating of the field executives is a fair and transparent process and discounts the influence of the nature of shipments provided to them problem, the authors worked with one of the largest global eCommerce delivery firms to design a rating system of the field supervisors using R.
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    Use of Data Analytics to Increase the Efficiency of Last Mile Logistics for Ecommerce Deliveries
    (IGI Global, 2021) Nagpal, Gaurav
    With the increasing share of digital transactions in the business, the way of operating the businesses has changed drastically, leading to an immense opportunity for achieving the operational excellence in the digital transactions. This chapter focusses on the ways of using data science to improve the operational efficiency of the last mile leg in the delivery shipments for e-commerce. Some of these avenues are predicting the attrition of field executives, identification of fake delivery attempts, reduction of mis-routing, identification of bad addresses, more effective resolution of weight disputes with the clients, reverse geo-coding for locality mapping, etc. The chapter also discusses the caution to be exercised in the use of data science, and the flip side of trying to quantify and dissect the phenomenon that is so complex and subjective in nature.