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This paper examines the decline of the largest working parliamentary democracy in India overtime, but accelerating since 2014 as the Bharatiya Janata Party (BJP), under the leadership of Prime Minister Narendra Modi at the Center (as the federal government is commonly known).

It is eclectic. Original constitution, along with commentaries, are studied. News outlets, government pronouncements, journal articles, and other media outlets — electronic and print — are also sourced.

The findings show how three important features in democracy — elections and their outcomes, control of information, and suppression of dissent are widely used to undermine constitutional democracy.

Democracy can be undermined without altering the Constitution itself. It also explains the irony of Modi’s popularity, given the undemocratic practices. As he may continue in office for some time to come, commanding a log-rolling majority, the need of the hour is a united, constructive and effective opposition to ensure a healthy working democracy.

Additive manufacturing also known as 3D printing is an evolving advanced manufacturing technology critical for the new era of complex machinery and operating systems. Manufacturing systems are increasingly faced with risk of attacks not only by traditional malicious actors such as hackers and cyber-criminals but also by some competitors and organizations engaged in corporate espionage. This paper aims to elaborate a plausible risk practice of designing and demonstrate a case study for the compromised-based malicious for polymer 3D printing system.

This study assumes conditions when a machine was compromised and evaluates the effect of post compromised attack by studying its effects on tensile dog bone specimens as the printed object. The designed algorithm removed predetermined specific number of layers from the tensile samples. The samples were visually identical in terms of external physical dimensions even after removal of the layers. Samples were examined nondestructively for density. Additionally, destructive uniaxial tensile tests were carried out on the modified samples and compared to the unmodified sample as a control for various mechanical properties. It is worth noting that the current approach was adapted for illustrating the impact of cyber altercations on properties of additively produced parts in a quantitative manner. It concurrently pointed towards the vulnerabilities of advanced manufacturing systems and a need for designing robust mitigation/defense mechanism against the cyber altercations.

Density, Young’s modulus and maximum strength steadily decreased with an increase in the number of missing layers, whereas a no clear trend was observed in the case of % elongation. Post tensile test observations of the sample cross-sections confirmed the successful removal of the layers from the samples by the designed method. As a result, the current work presented a cyber-attack model and its quantitative implications on the mechanical properties of 3D printed objects.

To the best of the authors’ knowledge, this is the original work from the team. It is currently not under consideration for publication in any other avenue. The paper provides quantitative approach of realizing impact of cyber intrusions on deteriorated performance of additively manufactured products. It also enlists important intrusion mechanisms relevant to additive manufacturing.

This chapter investigates pandemic impact in a variety of industries, including food, travel, education and pharmaceuticals, considering elements such as isolation, emotions and social influences, which can lead to panic buying. The goal of this research is to ascertain how COVID-19 influences the buying decisions of customers. Additionally, the study aims to identify consumer consumption trends for a spectrum of products and services, including fast-moving consumer goods (FMCGs), entertainment, pharmaceuticals, travel and tourism. A comprehensive review of different research papers is done to conclude. The papers considered are from 2020 to 2022. Different keywords are used to search the relevant papers such as ‘pandemic’, ‘COVID-19’, ‘behaviour’, ‘impulsive’, etc. TCCM framework has been applied while reviewing the articles. During the isolation, consumer behaviour moved to panic buying and stockpiling, favouring organic basics, and encouraging e-commerce, as well as economic nationalism favouring made-in-India products. This study helps in knowing the reasons for change in consumers' behaviour for different products and services due to unforeseeable situations like COVID-19 and can find possible ways to deal with them. Business owners learn about changing consumer purchasing behaviours and how to modify products. The government can change policies to improve medical tourism and social protection.

This paper aims to evaluate the progress made in achieving sustainable development goal-2 (SDG 2) in India, with a focus on ending hunger, ensuring food security, improving nutrition and promoting sustainable agriculture. The assessment uses data from SDG Index reports, which offer a comprehensive overview of the advancements made by 28 states and 8 union territories (UTs) in India.

The evaluation is based on information derived from three editions of the SDG Index reports, initially published in 2018 and subsequently in 2019 and 2020. These reports provide a detailed analysis of the status and achievements of different states and UTs in relation to SDG 2. The categorization of states and UTs into aspirant, performer, front runner and achiever categories serves as a crucial framework for assessing the progress.

Despite concerted efforts by India, the majority of states and UTs are positioned in the aspirant and performer categories, suggesting that significant challenges persist in achieving SDG 2 targets. The results emphasize the necessity for stronger measures to elevate states and UTs to the categories of front-runners and achievers. The persistent challenges of malnutrition, hunger and their economic ramifications require immediate and strategic interventions to address these pressing concerns.

This paper contributes to the existing literature by providing a comprehensive analysis of the progress towards SDG 2 in India, using the insights from the SDG Index reports. The categorization framework used in this assessment offers a nuanced understanding of the challenges faced by different regions, highlighting the original contribution of this study. The findings underscore the urgency of targeted efforts to address malnutrition, hunger and related issues, emphasizing the importance of sustained commitment to achieving SDG 2 for the overall well-being of vulnerable populations.

This research paper investigates the theoretical frameworks encompassing a nuanced analysis of the digital divide in the Indian educational context, recognising that it is not merely a matter of technology access but also the ability to effectively use the resource for enhancing learning outcomes. This research provides valuable insights for fostering a more equitable and digitally inclusive learning environment by integrating conceptual insights with empirical evidence. The New Education Policy (NEP), India 2020 firmly emphasises the appropriate integration of technology into the teaching-learning process to develop relevant competencies. The pertinent question is, for India to conquer the second digital divide challenge, is the pace of technology accessibility and skill development sufficient?

The paper is a desk research, using secondary data from the Unified District Information System for Education (UDISE+), the Indian Government database of schools. A structured dataset has been created for all years, where states are grouped in descending ranking order of availability of infrastructure and teachers trained. A colour key segregates the States into three zones demonstrating their different levels of performance – high (green), moderate (blue) and low (yellow). The purpose is to identify state/s that have moved from one zone to another and, thereafter, analyse the reasons behind the movement.

Almost all states remained in the same digital resource availability zone for the four years studied, except for a limited few. Despite government interventions through higher budget allocation and targeted policies, growth rates of teacher training in computer usage slowed down post-COVID-19. A high positive correlation between Teachers' training in computer usage and the availability of computer and Internet facilities in schools indicates that an increase in digital infrastructure in schools is highly linked to teachers' training in computer usage and would ultimately translate into better use of digital resources to impart equitable education opportunities.

Primary data collection through interviews might have added to the critical findings. Therefore, researchers are encouraged to test the proposed propositions further on a case-by-case basis for any state under consideration.

Enhancing digital infrastructure in schools and building digital competence in teachers must be understood in the context of the learning organisation and the beneficiaries' attitudes at the meso-level to expand stakeholder motivation towards digital internalisation. This requires continuous engagement with education institutions as professional learning organisations, which will thereby help develop a decentralised context for teacher competency building. Collaboration, continuous monitoring of the outcomes of professional development programs, and sharing best practices are crucial in improving teacher readiness for digital education.

Access to tangible resources, such as computers, Internet connectivity and educational software, and developing intangible resources, such as teacher digital competencies, will play a pivotal role in shaping students' learning experiences. By studying the discrepancies in digital resource accessibility and teacher technology adoption, this research endeavours to add to the efforts towards enhancing the educational landscape.

This paper seeks to address a critical issue in the Indian education system and contribute to the ongoing effort to prevent the widening of the second and third digital divide in schools, and help achieve UN SDG Goals 4 and 10.

Chapters explore the concept of toy tourism (Toyrism) with the objective of the study of the Indian toy industry and the impact of toys on the tourism economy of the country. The first part of this chapter deals with introducing Indian toys and their growth aspect. Study conducted to identify different determinants of the toyrism, as per the previous studies, culture, co-creational values and experiential values has strong association with toyrism. Culture has strong associations with toys which reflect regional culture, elaborate culture through toy storytelling such as puppet shows in Rajasthan, internationally Barbie dolls replicate American culture. Co-creational values have considered toys as innovative characteristics, and experiential values of toys related to created experiential aspects of toys, which tourist can explain and the concept is well taken by the Walt Disney with their creation of Disneyland Toy Story. The next part of this chapter discusses some of the government schemes to create toys for all travellers to develop indigenous, innovative toys with development of clusters. The last part of this chapter included the conclusion and way forward to research.

Whistleblowing is one of the most imperative instruments to unveil wrongdoing. The purpose of this study is to explore the whys and wherefores of undertaking the act of whistleblowing by Indian nurses. This study also delves into the reasons that would stimulate the nurses' whistleblowing intentions and, on the contrary, the reasons that would keep them silent on encountering any wrongdoing.

This study incorporates interpretative phenomenological analysis, a qualitative method aiming to provide a detailed examination of the personal lived experiences of the nurses. This technique helps to understand the individual perspective of nurses. It, thus, allows the researchers to generate common themes from the data giving insightful and in-depth knowledge about the same.

The findings of this study suggest that nurses felt a sense of morality and responsibility toward the hospital, which motivated them to raise their voices to the concerned authorities within their organizations before reaching out to external agencies. The other motivators include peer and management support regarding the surety that appropriate action would be taken if reporting is done against the wrongdoer. On the other side, job loss or fear of harassment from peers and supervisors demotivates and discourages them from involving in the act of whistleblowing, especially in cases where they had dependents.

This study implies that hospitals/health-care units should provide an affirmative organizational culture to the nurses through sensitivity training that spreads awareness and a sense of responsibility. Also, setting favourable examples would help nurses gain motivation from the organization's past experiences. Having independent agencies to investigate whistleblowing complaints can be more encouraging than in-house management. Additionally, assurances by the government to protect the interest of the nurses who blow the whistle through anonymous whistleblowing and stringent rules for the job security of whistleblowers need to be aligned.

This study highlights the whistleblowing intention of Indian employees of the health-care sector, that is, nurses, which is the pioneer research work in the Indian context. In India, the profession of nurses is subjugated by females; hence, this study would contribute to the literature by looking at whistleblowing through gender predisposition. As the work of nurses is wholly based on patient advocacy, the ethical dilemma of raising their voices or remaining silent is very natural. This study brings about specific concerns related to the whistleblowing of women nurses and talks about the solutions that can be undertaken to encourage them to engage in the act of whistleblowing.

Generative AI and more specifically ChatGPT has brought a revolution in the lives  of people by providing them with required knowledge that it has learnt from an exponentially large knowledge base. In this viewpoint, we are initiating the debate and offer the first step towards Generative AI based knowledge management systems in organizations.

This study is a viewpoint and develops a conceptual foundation using existing literature on how ChatGPT can enhance the KM capability based on Nonaka’s SECI model. It further supports the concept by collecting data from a public sector univesity in Hong Kong to strenghten our argument of ChatGPT mediated knowledge management system.

We posit that all four processes, that is Socialization, Externalization, Combination and Internalization can significantly improve when integrated with ChatGPT. ChatGPT users are, in general, satisfied with the use of ChatGPT being capable of facilitating knowledge generation and flow in organizations.

The study provides a conceptual foundation to further the knowledge on how ChatGPT can be integrated within organizations to enhance the knowledge management capability of organizations. Further, it develops an understanding on how managers and executives can use ChatGPT for effective knowledge management through improving the four processes of Nonaka’s SECI model.

This is one of the earliest studies on the linkage of knowledge management with ChatGPT and lays a foundation for ChatGPT mediated knowledge management system in organizations.

The authors revisit the traditional OLI paradigm with the objective to allocate politics within the set of internationalization advantages by building on the political strategy literature. The authors outline the specific role of political advantage that facilitates and propels the international expansion of state-owned multinational enterprises (SOMNEs) from emerging markets.

A conceptual paper which explains the role of political advantage in the internationalization of SOMNEs. The authors expand the scope of the OLI to capture the impact of firms' home governments' policies and relationships with host countries which are leveraged by SOMNEs in their internationalization.

The authors define political advantage as a new type of advantage which depends on and is sourced from external actors. The authors argue that P-advantage is a multifaceted and unstable part of POLI composition, which is contingent on political shifts and may be leveraged by various firms. The authors also assert that political capabilities have limitations in sustaining political advantage, which may be compensated via enhancing the political activity of firms.

The authors conceptualize the POLI-advantages paradigm for the internationalization of SOMNEs by proposing that in addition to the traditional ownership, location, and internalization advantages, firms can capitalize on their political advantage to enter markets where internationalization might have been difficult without their political connections.

This study aims to investigate the impact of the rise in coronavirus disease 2019 (COVID-19) cases on stock prices, exchange rates and sovereign bond yields in both Brazil and India.

The authors employ the wavelet transform coherence (WTC) and continuous wavelet transform (CWT) techniques on daily data from March 17, 2020 to May 8, 2021.

The findings show that COVID-19 has no impact on exchange rates but slightly increases sovereign bond yields from 2021 onwards. In contrast, the effect of COVID-19 on stock prices is quite high in both countries. There is a considerable consistency between COVID-19 cases and stock prices across different time–frequency dimensions. The rise in COVID-19 cases has an increasing effect on stock prices in Brazil and India, especially in the high-frequency ranges.

As far as the authors know, no prior study has simultaneously analyzed the effects of the COVID-19 pandemic on exchange rates, stock prices and sovereign bonds in Brazil and India.