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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.

The present study aims to construct and compare Composite Environmental Sustainability Index (CESI) for 20 emerging countries for the period 1990–2020.

The study constructs CESI using the principal component analysis (PCA). Furthermore, for the preparation of index weights, varimax rotation is used to get component loadings.

The study finds that the overall CESI values lies between 2 and 4.8 for the 20 emerging countries considered in the study. This study depicts a diverse picture of environmental sustainability among emerging countries. The study also shows the trend of CESI values from 1990 to 2020. The bottom three countries whose CESI is very low compared to others are Iran, South Africa and Saudi Arabia. However, Brazil, Columbia and Chile are top three highest scorers in 2020.

The study contributes to the literature by constructing a composite index comprising of three sub-indices to measure the environmental sustainability of an economy. These sub-indices include seven indicators that are more inclusive and comprehensive. To the authors' knowledge, this is a pioneering attempt in the construction of the index for emerging countries.

The present study aims to investigate the non-linear relationship between trade and income inequality to address goal 10 of sustainable development goals (SDGs) using the Kuznets Curve (KC) framework for major emerging countries during 1991–2020.

For this purpose, recent econometric techniques, such as Common Correlated Effect (CCE) and Dynamic Common Correlated Effect (DCCE) estimators have been employed to deal with the cross-section dependence (CD) that arises in panel data, while the robustness of the study is checked through Driscoll–Kraay standard errors method.

The empirical results of the study confirm the existence of inverted “U-shaped” relationship between trade and income inequality suggesting evidence for the trade-led KC in the panel of emerging countries. Along with the non-linear model, the threshold value is estimated to be between 3.5 and 4% of gross domestic product (GDP).

The authors' findings support that trade contributes significantly toward reducing income inequality and helps in achieving goal 10 of SDGs. Hence, trade policies appear to be more egalitarian. The results widen the scope for further research and provide insights for regulators and policymakers in modeling trade policies and changing the status quo trade policy framework accordingly.

The present study is a pioneering attempt to examine the non-linear relationship between trade and income inequality under the KC framework in light of the Agenda 2030 for sustainable development. The study also considers other explanatory factors that have an impact on income inequality. Furthermore, the study considers other explanatory factors that have an impact on income inequality, and the attempt to estimate the threshold value for the trade-led KC is novel and interesting.

The purpose of the paper is to explore the economic repercussions of potential India–USA free trade agreement (FTA) on the trade of agricultural commodities at HS 2-digit level.

The analysis is undertaken by assuming tariff reduction in a phased manner using the World Integrated Trade Solutions (WITS)-SMART partial equilibrium model to identify the trade creation and trade diversion effects.

Overall results show that both the trading partners gain from the proposed FTA. Trade creation dominates over trade diversion in India's analysis.

An FTA between India and the USA could be an essential step toward more liberal trade regimes and provide enormous economic benefits to both countries. Government of both the countries should support deeper integration. This will create more job opportunities and generate prosperity in both economies.

There are numerous studies conducted on evaluating the impact of FTAs ratified between countries. But there are limited studies which evaluate the impact of the proposed India–USA FTA on the economies of both trading partners specifically on the agriculture sector.

This study integrates the providers' perspective as well as the patient's perspective in developing and validating a scale to measure hospital service quality in multispecialty hospitals.

An exploratory sequential mixed-method approach was used in this study. The strategies used included a thematic literature review, semi-structured interviews, modified Delphi and confirmatory factor analysis.

The reliability coefficient of 41 item scale was 0.963 with each attribute, that is, pivotal, core and peripheral, having a Cronbach's alpha of 0.907, 0.91 and 0.891, with scale content validity (S-CVI Ave) of 0.9151. The composite reliability scores of all constructs were greater than 0.7, with an Average Variance Explained (AVE) of all items greater than 0.5.

The instrument can be used to measure the difference between what service providers believe customers expect and customers’ actual needs and expectations. The scale can be used to measure the difference between what is delivered (as perceived by the provider) and what customers perceive they have received (because they are unable to accurately evaluate service quality). The dyadic approach of administering this questionnaire in measuring hospital service quality will lead to the identification of a knowledge gap and a perception gap in delivering hospital service quality.

Health care service is a widely researched area. Several established models and instruments measuring health care service quality (HCSQ) are available in the published academic literature. The objective of this article is to summarize this vast pool of available knowledge under the themes of HCSQ, its determinants and measurement strategies.

Sixty-three available published studies in peer reviewed journal combed in EBSCO and Google Scholar database have been examined and presented in exemplary literature review.

The findings have been segregated under the themes of HCSQ, its dimensions and determinants. It can be deduced from the findings that in spite of health care being a professional service, the user defined service quality takes center stage.

Rather than the seeker of care, the authors call for further research by taking a dyadic view of professional exchanges and including providers' perspectives of care in service quality evaluations as well.

This study aims to examine the adoption and efficacy level of progressive human resource management (HRM) practices in various organizations operating in India.

Primary data based on 615 respondents from 103 domestic firms and 116 foreign multinational corporations (MNCs) operating in India were gathered and analyzed using statistical techniques like t-test, confirmatory factor analysis and structural equation modeling.

The results reveal that the adoption of progressive HRM practices in form of self-managed teams, flexibility to work flexible hours, use of online mediums to invite applicants, selection of candidates using assessment center and integrity test, performance based incentives, flexible benefits, facility of e-learning and innovative management development programs is positively related to firm performance in Indian context. Using institutional and cultural perspective, the findings have also demonstrated that their exist differences in adoption of progressive HRM practices between foreign MNCs and domestic firms.

Domestic firms in India are needed to learn some important managerial lessons from the foreign MNCs, especially when their adoption of progressive practices results in more increase in firm performance. These are suggested to implement a broad range of innovative HR practices like MNCs to improve growth potential, instead of focusing on two or three practices.

By exploring the differences between domestic and foreign MNCs, this study has offered some key insights on the extent of adoption and operationalization of progressive HRM in current Indian business environment.

Industrial Revolution 4.0 prompts organizations to adopt emerging technologies, and the healthcare industry is no different from them. Further, it is important to adopt new edge technologies to improve services and the well-being of patients. This research synthesizes the work most influenced by this technology and the trends and usage of Industry 4.0 technologies in the healthcare sector.

The study has used the Scopus and Web of Science databases to retrieve articles published in healthcare and Industry 4.0 for bibliometric analysis. Specifically, Bibliometrix (R-package) and VOSviewer were used to analyze data related to authors, sources, keywords and content analysis.

The study found increased research trends in Industry 4.0 and healthcare in recent years. The USA, India and China are top contributors in this field, showing research progress in developed and developing economies. Dwivedi Y and Kumar A. were top researchers in the field. The finding also reveals that predictive analytics, deep technology and sustainable development are emerging areas for healthcare where Industry 4.0 can play a crucial role.

Using Industry 4.0 technologies can help the company improve its services, operational efficiency and patient care.

The study explored the trends in the healthcare sector for using Industry 4.0 technologies through bibliometric analysis.

Principles of Management, in particular, the topics of planning, organizing, leading, controlling, human resource management, and operations management.

The case will be helpful to undergraduate and graduate business school students for learning the subject, Principles of Management.

Vikas Jha, the newly appointed executive producer and CEO of Magic Films, is a troubled man today. At 29, he is also an unusually tired man to lead this social enterprise presently focussing on producing and distributing short films that carry a strong social message. A whole set of problems is plaguing this start up leaving Vikas totally clueless about the future course of action! The case dwells on the challenges of a film production start-up and provides an opportunity for readers to explore creative solutions to management problems.

Critical thinking, creative thinking, communication skills and leadership ability are some of the liberal arts outcomes that the case study attempts to deliver. In addition, it enables students to apply their knowledge and understanding of key principles of management in solving the case problems. Thus, the case also provides transfer ability as an important learning outcome.

Teaching notes. Additional material with respect to film production can be helpful to the students in appreciating the finer aspects of this case, which deals with filmmaking. In this direction, helpful links to useful resources are mentioned in the case study.

The purpose of this paper is to examine relationship between corporate governance (CG) and firm performance for a set of 255 foreign-funded firms in the form of foreign direct investment (FDI) and private equity (PE). The authors employ a wide range of CG measures including board size, meetings, board gender and foreign ownership which are used as the proxy of globalisation and control variables like firm age, leverage, firm size and capital expenditure to arrive at a conclusion.

Panel data set of 255 (187 companies funded by foreign capital in the form of FDI, and 68 companies having foreign capital in the form PE) companies listed on Bombay Stock Exchange, for the period of eight years (2008–2015) are analysed by using static (fixed and random effects) and dynamic (generalised method of moments (GMM)) panel data specifications to examine the relationship among CG, globalisation and firm performance.

The empirical results of static model indicate the relationship between CG and performance of foreign firms, which are not very strong in India. This is due to the fact that most of the firms are not following the guidelines and regulations strictly in the initial period of sample years. Diversity in board is found as an important variable in accessing firm performance. And the authors also found that foreign firms are very particular about the implementation of CG norms. The results of GMM model highlight the interaction term of foreign ownership with governance indicators. CG is having a positive and significant impact over performance, inferring that higher foreign ownership (in the form of FDI and PE) in firm leading to positive effect on profitability.

The investor’s preference of financing a unit is guided by the performance of a firm. Investors are more inclined towards high-performing firms, and hence higher profitability leads to higher inflow of capital. The result indicates that higher accounting and market performance may be achieved by good governance practices, in turn, leading to reduced agency costs. Countries with high governance scores attract more of foreign capital. Similar to the best governed countries, the companies having good governance practices attract more foreign inflows in the form of capital.

While previous literature considered a single measurement framework in the form of a CG index, the authors tried to incorporate a range of CG indicators to study the effect of globalisation and CG on firm performance. The authors segregated foreign-owned funds into two parts, especially FDI and PE. This paper examined heterogeneity in the form of FDI-funded and PE-funded firms, as no prior literature is available which has evaluated different sets of foreign funds simultaneously on CG.