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The purpose of this study is to calculate the effect of different packet sizes 256, 512, 1,024 and 2,048 bytes on a large-scale hybrid network and analysis and identifies which routing protocol is best for application throughput, application delay and network link parameters for different packet sizes. As the routing protocol is used to select the optimal path to transfer data packets from source to destination. It is always important to consider the performance of the routing protocol before the final network configuration. From the literature, it has been observed that RIP (Routing Information Protocol) and OSPF (Open Shortest Path First) are the most popular routing protocols, and it has always been a challenge to select between these routing protocols, especially for hybrid networks. The efficiency of routing protocol mainly depends on resulting throughput and delay. Also, it has been observed that data packet size also plays an essential role in determining the efficiency of routing protocol.

To analyse the effect of different packet sizes using two routing protocols, routing information protocol (RIP) and open shortest path first (OSPF) on the hybrid network, require detailed planning. Designing the network for simulate and then finally analysing the results requires proper study. Each stage needs to be understood well for work accomplishment. Thus, the network’s simulation and evaluation require implementing the proposed work step by step, saving time and cost. Here, the proposed work methodology is defined in six steps or stages.

The simulation results show that both routing protocols – RIP and OSPF are equally good in terms of network throughput for all different packet sizes. However, OSPF performs better in terms of network delay than RIP routing protocol in different packet size scenarios.

In this paper, a fixed network of 125 objects and only RIP and OSPF routing protocol have been used for analysis. Therefore, in the future, a comparison of different network sizes can be considered by increasing or decreasing the number of objects in the proposed network. Furthermore, the other routing protocols can be used for performance evaluation on the same proposed network.

The analysis can be conducted by simulation of the network, enabling us to develop a network environment without restricting the selection of parameters as it minimizes cost, network deployment overhead, human resources, etc. The results are analysed, calculated and compared for each packet size on different routing protocol networks individually and the conclusion is made.

While traditional Industry 4.0 is studied in the context of smart factories, the authors study it as a metaphor that represents the spill-over effects of digitalisation, high-speed internet, cloud-based super-computing on industry, countries, human resource development and national competitiveness. This chapter analyses the Industry 4.0 steps taken by the United States, Germany, South Korea and India. It compares strategic actions taken by these countries using a strengths, weaknesses, opportunities, threats (SWOT) analysis to understand the position of each country. The authors use Max Weber’s ideal types as a positivist frame of analysis for the country-level data and from this draws policy recommendations. Based on the current status of India and other countries, the chapter concludes by suggesting short-term, mid-term and long-term strategies to transform India into a highly competitive industrialised economy in the context of the fourth industrial revolution.

This chapter begins by exploring the critical tenets of strategic human resource management (SHRM) and then discusses what the study and practice of SHRM needs to do in a new era of sharing economy and artificial intelligence (AI) for delivering successful business and individual employee performance in a new world of technological disruptions in work and employment. Using examples from popular platforms such as Airbnb, Uber, Ola, Zomato and Swiggy in India, to name a few, this chapter illustrates the changing ways of how non-standard employees are managed in the Fourth Industrial Revolution (4IR) through the use of technology platforms and apps, including the specific use of AI, in implementing a number of these changes. We highlight the need for new skills and knowledge by HR professionals to successfully engage in the new and brave world of AI-based technological disruption that we are all facing.

After completion of the case study, the students would be able to comprehend the crisis at hand for Milkbasket, why did it resist Reliance’s takeover in the first place, then to evaluate the pros-cons and future prospects for the organization post-acquisition; to evaluate from an ethical standpoint the process of mergers and acquisitions using ethical frameworks to understand how, when, to whom and through what processes do mergers and acquisitions qualify the test of being ethical; and to analyse different hostile takeovers, especially through tender offers, proxy contests and toehold bidding strategy in this case.

Founded in 2015, Milkbasket was a micro-delivery start-up based in Gurugram (near New Delhi), India. Milkbasket would let its subscribers order till midnight and deliver groceries, milk and other everyday essentials to its subscribers before 7 a.m. next day. It had burnt a lot of cash and was facing difficulty in getting investors; as such they were engaged in discussions with many companies. Two of them – Reliance Retail Venture Limited and BigBasket – were not accepting the proposed valuation, but Milkbasket got term sheets from other two companies.

This case study can be used for graduate courses on strategic management, business ethics and corporate governance. This case study can also be used in corporate finance course to highlight the importance of making ethical/responsible judgements to protect stakeholder interests.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.