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The concept of Industry 5.0 is not just one more revolution but calls for a tectonic shift in digitization and operationalizing technology with connected value chain across sectors. It is human centric that promotes talents, diversity and empowerment coupled with resilience leading to agile and adaptable technologies with prime focus on sustainability. The COVID-19 pandemic has given impetus to digital transformation and accelerated the focus on other challenges of present time and with extended importance on people, planet and societal concepts. This study shall attempt to examine the nature of association between revolution of Industry 5.0 with perspectives to digital innovation and its implications toward bringing sustainable business model. The main objective of this chapter shall be to uncover interrelated questions in terms of sustainability perspectives of industries in framing business models. This study shall serve as a primer to significance of digital transformation with relevance to businesses that can lead to efficient use of scarce resources and optimal feasible solutions to the business models, given the institutional and organizational frameworks. Further, an attempt shall also be made to underpin the key facets of effects of Industry 5.0 on the knowledge economy. It shall delve into how digital innovations can yield benefits to industry in terms of competitiveness and sustainability with focus on Society 5.0 that attempts to balance economic development with the resolution of societal and environmental problems. It is not restricted to the manufacturing sector but addresses larger social challenges based on the integration of physical and virtual spaces.

The connotation of sustainable tourism occupies prime importance in the light of prevalent pandemic situations across the globe. One such deliberation is the construct of regenerative travel, a type of “matured tourism” with restoration and rejuvenation of destinations as its pillars. With the COVID-19 pandemic, the tourism rate was dropped by nearly 65% across the world, leaving the countries' economies shattered and communities depending on tourism experiencing massive unemployment. However, regenerative tourism provides a way to secure a future of tourism and allows the communities to coexist with tourist attractions and sustain new models of tourism. This chapter examined the concept of regenerative tourism to build resilience particularly during the post-COVID-19 pandemic. The result shows various strategies for implementation of regenerative tourism, framework approach not recovery of tourism and renewing of tourism. Additionally, implications of regenerative tourism could be foreseen, and a roadmap is provided for the tourism stakeholders.

In recent decades, the concept of pro-poor tourism has emerged as one of the integral mechanisms that benefit the poor and the underprivileged sections of society. Eradication of poverty is a top priority of human development that is mentioned in the United Nations (UN) Millennium Development Goals (MDGs). Given the expansion of the tourism industry at present in India, the sustainability of this sector is significant, particularly in the rural and remote areas for the facilitation of income-generating opportunities to these vulnerable sections of society at large. The present research study aims to find out the various factors that determine the growth and expansion of the Indian tourism industry and to evaluate how such factors correlate with the alleviation of poverty in India. A panel regression is fitted to find out the nexus between the growth and expansion of the tourism industry in India and its impact on poverty alleviation standards. The selected dimensions, viz. number of tourists visited, per capita income at the state level, index of poverty as measured by headcount ratio, inequality index measured by GINI coefficient, economic specific variables such as literacy rate and infant mortality rate, and state of instability in states measured as by frequency of incidence of crimes in the region are being employed in the study. The estimated model reveals that the effects of tourism development have significant and bountiful outcomes in reducing poverty in India during the study period 2005–2018, as indicated by the estimated coefficient value of (−0.0655), controlling for the selected economic and state/region-specific variables.

The investigation goal is the analysis of the relation between healthcare expenditures and other resources, and COVID-19 fatality rates among European countries to design effective health policies for crisis management.

Research methodology is based on descriptive statistics and various parametric methods, also including a linear model of regression to analyze basic relationships of variables under study.

Results show that a lower COVID-19 fatality rate is associated with higher levels of health expenditure (% GDP), of healthcare expenditure per capita, health expenditure in preventive care (% GDP), hospitals per million inhabitants, physicians, nurses, hospital beds and curative acute care beds per 1,000 inhabitants. Regression analysis shows that a 1% increase in healthcare expenditures per capita of countries, it reduces the level of COVID-19 fatality rate by 0.74%. In fact, many countries in Eastern Europe with low healthcare expenditures per capita in 2019 (e.g., Bulgaria, Romania, Hungary, Poland, Latvia, Slovakia, Lithuania, etc.), they have experienced high COVID-19 fatality rates. Instead, a lot of countries in Western Europe, with high healthcare expenditures per capita, such as Germany, Denmark, Austria, and the Netherlands, they had resilient health systems to face pandemic crisis and lower COVID-19 fatality rates.

These findings suggest strategies of systematic and continuous investments in healthcare, medical technologies, and ICT infrastructures to support effective health policy of crisis management in countries to face future pandemic crisis and other emergencies in society.

The explanation of critical role of high health expenditure (% GDP) and healthcare expenditure per capita to support robust health systems that bolster the resilience in nations to face health emergencies and worldwide crises.

This study aims to examine the influence of social media usage (SMU) on minimalist consumption and how the fear of missing out (FoMO) underlies this effect.

Four preregistered correlational/experimental studies (n = 1,763) are used. A pilot study (n = 436) examines the correlations between SMU, FoMO and minimalism. Studies 1 (n = 409), 2 (n = 415) and 3 (n = 503) further investigate the influence of SMU on minimalist consumption intentions, including mindful purchase, forgoing free products and decluttering, and test for evidence of mediation via FoMO by measuring or manipulating FoMO.

The results show that a high SMU makes consumers susceptible to FoMO, leading to impulsive purchases and careless product acquisition. However, when campaigners promote minimalism as a social media movement, they can activate FoMO, persuading consumers to practice decluttering.

Future research might examine how subjective age affects FoMO and minimalist consumption tendencies. Could campaigners use young social cues to make older consumers more susceptible to FoMO appeals? Could old social cues cause younger consumers to perceive greater social responsibility and to embrace minimalist consumption?

Minimalist lifestyles can promote sustainable consumption. This research provides insights into how SMU is a double-edged sword – it can cause FoMO users to disdain minimalism. However, it can promote minimalism if a minimalist campaign is strategically positioned as a social media movement using a FoMO-laden appeal.

Extant consumer behavior research on minimalism has just begun to investigate the antecedents of minimalist consumption. FoMO is conceptually related to minimalism, but the relationship between FoMO and minimalist consumption has not yet been empirically tested. This research fills these gaps by examining SMU and the associated FoMO as antecedents of minimalist consumption. Empirical evidence for the impact of SMU on various minimalist consumption behaviors and the mediating role of FoMO is provided.

This research attempted to establish the underlying dimensions of supply chain management practices, blockchain technology and supply chain performance in the Indian dairy industry. Additionally, the study proposes a conceptual model that shows the mediating effects of blockchain technology in the relationship between supply chain management practices and supply chain performance.

Structural equation modelling (SEM) is incorporated to examine the proposed model using SPSS and AMOS version 24. The study population includes 119 registered Indian dairy processing units operating in Uttar Pradesh and New Delhi (source: Dairy – India). Individual registered dairy processing unit's top four executives, that is Head of the Dairy Processing Plant, Supply Chain head and Marketing Head, and IT head are chosen as the respondents of the study, which renders the sample size of 476. Judgmental sampling based on the organisation's market position and plant production capacity (i.e. one lakh litre per day) has been set as the benchmark for selecting the dairy processing units. The executives are selected as respondents as they are well-versed in the phenomenon of supply chain management practices, blockchain technology and supply chain performance compared to other staff working in the dairy industry. The data was collected from December 2021 to March 2022 through judgmental sampling. The target sample size was 476, but only 286 questionnaires were received in a completed state and were further used for analysis.

Manufacturing practices, information sharing, distribution management, inventory management and blockchain technology have a significant and positive impact on supply chain performance in the Indian dairy industry. Furthermore, the research demonstrates that blockchain technology partially mediates the relationship between supply chain management practices and supply chain performance in the context of the Indian dairy industry.

This research is focused on the Indian dairy industry operating in only two states, namely New Delhi and Uttar Pradesh. More research is needed to determine whether SCM practices and the prospects for blockchain technology among channel members are universally applicable to merchants in non-dairy products. Similar investigations should be carried out on dairy industry operating in various formats and in numerous geographic locations. Further, case studies can be conducted by future researchers to learn how supply chain management methods are deployed, what precisely these practices entail and what costs and time demands are required by these practices in context of small independent retailers across different germane expanse.

While the available literature on the research area is spread out, the influence of blockchain technology in the Indian dairy industry has not yet been sufficiently analysed. Therefore, the research article focused on exploring underlying dimensions of the constructs of supply chain management practices, blockchain technology adoption and supply chain performance in the context of the Indian dairy industry.