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Leadership is a social phenomenon. Therefore, it has to be examined according to its social context. The point to be underlined by the social context is the social network in which the leader emerges. Considering the studies, the social network side of leadership is relatively ignored comparing with sociometric studies. In that sense, the aim of this study is to reveal whether there is a relationship between the positions of the military personnel, who are defined as one of the gray-collar working groups in the literature, within the social network mechanisms of which they are members, and their self-leadership perceptions. To answer the question, a self-leadership scale was applied to 69 gray-collar employees working in a military unit and network analyses were performed. According to results, there is a strong, positive and significant relationship between the network mechanism centrality criteria indegree, reach centrality and closeness and the self-leadership perceptions of individuals. In addition, there was no significant relationship between eigenvector centrality and honest brokerage, which are among the network mechanism criteria, and the actors’ self-leadership perceptions. The study has aimed at accenting and adding different perspectives to the leadership studies and gray-collar literature.

Purpose: Entrepreneurship is one of the best ways towards self-sufficiency and poverty alleviation for women in a country without guaranteed employment. The research contributes and provides reasons for supporting women’s entrepreneurship, as although it is well-documented that women’s entrepreneurship increases economic growth, other approaches need attention, especially those related to sustainability.

Need for the study: Women have superior emotional intelligence, resilience, and capacity to maintain a healthy work–life balance; women make better business and entrepreneurial leaders. Many businesses see encouraging women to join the workforce as a key to achieving sustainability goals. This study will provide valuable insights into the role of female entrepreneurs in driving sustainable business practices in the USA and India – rural India and urban India.

Methodology: The chapter adopts a descriptive research design methodology in conducting a thorough literature review on the evolution of women entrepreneurship in India. The case-based approach has been adopted to depict women entrepreneurs and their growth stories. The analysis is based on qualitative analysis of secondary data and primary data. This research proposes exciting revelations regarding the trend of women entrepreneurship in India and, from a global perspective, challenges women entrepreneurs face in organised and unorganised sectors in India and policies in different countries that promote women entrepreneurship towards sustainability.

Findings: Women business owners in India help the economy thrive, reduce poverty, and have a greater chance of shaping India’s destiny. This chapter looks at how entrepreneurial actions affect cultural morals and values. Women’s business growth rates vary from country to country, and this variation is influenced by the fact that countries can be broadly categorised as either developed or developing.

This study aims to explore the role of the linguistic style used in the brand-posted social media content on consumer engagement in the Fintech domain.

A total of 3,286 tweets (registering nearly 1.35 million impressions) published by 10 leading Fintech unicorns in India were extracted using the Twitter API. The Linguistic Inquiry and Word Count (LIWC) dictionary was used to analyse the linguistic characteristics of the shared tweets. Negative Binomial Regression (NBR) was used for testing the hypotheses.

This study finds that using drive words and cognitive language increases consumer engagement with Fintech messages via the central route of information processing. Further, affective words and conversational language drive consumer engagement through the peripheral route of information processing.

The study extends the literature on brand engagement by unveiling the effect of linguistic features used to design social media messages.

The study provides guidance to social media marketers of Fintech brands regarding what content strategies best enhance consumer engagement. The linguistic style to improve online consumer engagement (OCE) is detailed.

The study’s findings contribute to the growing stream of Fintech literature by exploring the role of linguistic style on consumer engagement in social media communication. The study’s findings indicate the relevance of the dual processing mechanism of elaboration likelihood model (ELM) as an explanatory theory for evaluating consumer engagement with messages posted by Fintech brands.

The purpose of this study is to evaluate food supply chain stakeholders’ intention to use Industry 5.0 (I5.0) drones for cleaner production in food supply chains.

The authors used a quantitative research design and collected data using an online survey administered to a sample of 264 food supply chain stakeholders in Nigeria. The partial least square structural equation model was conducted to assess the research’s hypothesised relationships.

The authors provide empirical evidence to support the contributions of I5.0 drones for cleaner production. The findings showed that food supply chain stakeholders are more concerned with the use of I5.0 drones in specific operations, such as reducing plant diseases, which invariably enhances cleaner production. However, there is less inclination to drone adoption if the aim was pollution reduction, predicting seasonal output and addressing workers’ health and safety challenges. The findings outline the need for awareness to promote the use of drones for addressing workers’ hazard challenges and knowledge transfer on the potentials of I5.0 in emerging economies.

To the best of the authors’ knowledge, this study is the first to address I5.0 drones’ adoption using a sustainability model. The authors contribute to existing literature by extending the sustainability model to identify the contributions of drone use in promoting cleaner production through addressing specific system operations. This study addresses the gap by augmenting a sustainability model, suggesting that technology adoption for sustainability is motivated by curbing challenges categorised as drivers and mediators.

Purpose: The COVID-19 pandemic is the most severe threat we have faced since World War II. So far, there have been about 5 million recorded cases, with over 300,000 fatalities globally. The epidemic is also wreaking havoc on the corporate world. People are losing their jobs and money, and no one knows when normalcy will return. So, addressing the VUCA Leadership Strategies Model is important to get more insight into this topic.

Need for the Study: According to the International Labor Organization, the pandemic might cost 195 million jobs. Even when the immediate impacts wear off, the long-term economic impact will reverberate for years. All four volatile, unpredictable, complex, and ambiguous (VUCA) characteristics apply to the issues we confront due to the coronavirus.

Methodology: Changes caused by COVID-19 occur daily, and are unpredictable, dramatic, and quick. No one can predict precisely when the epidemic will end or when a treatment or immunisation will be available. The pandemic impacts many parts of society, including health care, business, the economy, and social life. There is no ‘best practice’ that enterprises may utilise to tackle the pandemic’s issues. The VUCA leadership strategy models will be discussed and compared in this research study.

Findings: In this moment of transition, leaders must adhere to their fundamental values, core purpose, and ambition for big, hairy, and audacious goals.

Practical Implications: In this chapter, VUCA leadership strategy models will be discussed in detail for pre- and post-pandemic scenarios and their impact on different sectors, which will be very important for researchers in the same field.

The purpose of this paper is to investigate the free vibration response of a laminated honeycomb sandwich panels (LHSP) for aerospace applications. Higher order shear deformation theory (HSDT) was simplified for the dynamic analysis of LHSP. Furthermore, the effects of honeycomb parameters on the value of natural frequency (NF) of vibration were explored.

This paper applies HSDT to the analysis of composite LHSP to derive four vibration differential equations of motion and solve it to find the NF of vibration. Two analytical models (Nayak and Meunier models) were selected from literature for comparison of the NF of vibration. In addition, a numerical model was built by using ABAQUS and the results were compared. Furthermore, parametric studies were conducted to explore the effect of honeycomb parameters on the value of the NF of vibration.

The present model is successful in simplifying HSDT for the analysis of LHSP. The first five natural frequencies of vibration were calculated analytically and numerically. In the parametric study, increasing core height or young’s modulus or changing laminate layup will increase the value of NF of vibration. Furthermore, increasing plate constraint (using clamped edge boundary condition) will increase the value of NF of vibrations.

The current analysis is suitable for all-composite symmetric LHSP. However, for isotropic or non-symmetric materials, minor modifications might be adopted.

The application of simplified HSDT to the analysis of LHSP is one of the important values of this research. The other is the successful and complete dynamic analysis of all-composite LHSP.

With the advent of the second wave of COVID-19 pandemic, there is a need to analyse the scenario of panic buying (PB) behaviour of the customers which was evident in the first wave. This paper aims to examine the PB scenario as well as the moderating effect of past buying experience (PBE) on PB in the second wave of the COVID-19 pandemic.

This study is based on the theories of stimulus–organism–response model and the competitive arousal model. Based on these theories, this paper investigates how panic situation created by external stimuli such as perceived scarcity (PS), perceived risk (PR), news in media (NM) and social learning affect the perceived arousal (PA) among people which in turn influence the PB behaviour of customers. Data were collected from 253 customers from different parts of India. Structural equation modelling is used to analyse the moderating effect of PBE on the PB in the second wave of COVID-19 pandemic.

The results indicate that the PS, PR and NM continue to be strong predictors of a buyer for PA. However, the PB is not reinforced by the moderation effect of PBE.

This paper investigates the consumers’ PB behaviours in the wake of third wave of COVID-19 pandemic which add to the existing literature of COVID-19 pandemic. Moreover, this study also examines how previous buying experience can moderate the PB behaviour of the customers in subsequent phases of COVID-19 pandemic. This supports the potential effectiveness of self-regulation as an intervention strategy for reducing PB behaviours during the COVID-19 pandemic.

This study emphasises the impact of external stimuli like PS, PR and media coverage on PB behaviour, marketers and policymakers should manage to avoid triggers. Although PBE may not moderate PB during a pandemic, it can play a significant role in future buying behaviour. Anticipating potential triggers and designing effective marketing strategies that cater to customers' needs can help manage PB behaviour during disasters or pandemics. In addition, promoting conscious consumption awareness and self-regulation practices among customers can help manage PB behaviour, benefit the environment and society and make customers more responsible buyers.

To the best of the authors’ knowledge, this study examines the PB behaviour of customers during the second wave of COVID-19 pandemic for the first time. This study also investigates the moderating effect of PBE on the PB behaviour of customers during a pandemic which is new and significant that extends the literature on PB behaviour during a pandemic.

This paper aims to investigate the relationship between digitalization and money laundering and tests whether ethical behaviour of firms and corruption moderate this association.

The sample includes 114 countries during 2016. Basel Anti-Money Laundering Report for 2016 is used to collect data concerning money laundering. Digitalization proxies are collected from digital adoption index from the World Bank for 2016. Finally, the remaining variables are gathered from the Global Competitiveness Report for the same year.

Results show negative and significant associations between the overall digitalization score and sub-scores dealing with digitalization adoption by businesses, people and government and money laundering. When testing for the moderating effect of corruption, the negative and significant association remains stable for both low and high corrupt environments for the overall digitalization score and sub-scores dealing digitalization adoption by businesses and people and money laundering. Similarly, ethical behaviour of firms does not moderate the association between digitalization (overall index and digitalization by business and people) and money laundering, as the relationship remains negative and significant for low and high ethical behaviour sub-samples. By contrast, the association becomes insignificant between digitalization adoption by government and money laundering for countries characterized by high corruption and low ethical behaviour of firms, while it is negative and significant for countries characterized by low corruption and high ethical behaviour firms.

These findings confirm that digitalization effort represents a crucial arm to combat money laundering. It also emphasizes the interrelation that may exist between digitalization effort in governmental institutions and institutional environment, as low levels of money laundering cannot be reached if the digitalization effort undertaken by governments is not supported by low corruption and ethical business environment.

The purpose of this paper is addressing the negative environment and social impacts of the fashion industry that has emerged as a major societal challenge in the last century; however, people continue to over-consume and over-waste textile products in the form of fashion garments. More research is required to understand how fashion consumption connects with perceptions of sustainability and sustainable action by individual consumers.

This paper surveys 501 Australian and New Zealand consumers, on their fashion purchasing habits, and the role of sustainability in their fashion consumption behaviour.

The study found a relationship between higher levels of garment consumption and increased focus on sustainability in fashion choices. This finding is significant, as it suggests that fashion over-consumers are still mindful of the sustainable impacts of their consumption, and are motivated towards reducing that impact, despite not reducing their volume of consumption.

The study indicates the importance of a continued focus on transparency and traceability of fashion products in Australasia, as some over-consumers use this information to make better choices in the purchase situation, as opposed to acting on a general call to reduce consumption.

This paper aims to develop a deeper understanding of what (un)sustainable food behaviours and values are transmitted across generations, to what extent this transference happens and the sustainability challenges resulting from this for individuals and households.

A total of 25 semi-structured in-depth interviews are analysed regarding the value of inherited food, family food rituals, habits and traditions, aspects of food production and understanding of sustainability.

Intergenerational transferences are significant in shaping (un)sustainable consumption throughout life, and those passed-on behaviours and values offer opportunities for lifelong sustainable change and food consumption reappraisal in daily life, beyond early years parenting and across diverse households.

Participants were limited to British families, although the sample drew on multiple ethnic heritages. Future research could study collectivist versus more individualistic cultural influence; explore intergenerational transference of other diverse households, such as multigeneration or in rural and urban locations, or whether sustainable crossover derived from familial socialisation continues into behaviours and values beyond food.

The findings show the importance of families and intergenerational transference to the embedding of sustainable consumption behaviours. Mundane family life is a critical source of sustainable learning, and marketers should prioritise understanding of the context and relationships that drive sustainable consumer choices. Opportunities for intentional and unintentional sustainable learning exist throughout life, and marketers and policymakers can both disrupt unsustainable and encourage sustainable behaviours with appropriate interventions, such as nostalgic or well-being communications. The paper sheds light on flexible sustainable identities and how ambivalence or accelerated lives can deflect how policy messages are received, preventing sustainable choices.

The findings provide greater understanding about the mechanisms responsible for the sustainable transformation of consumption habits, suggesting intergenerational transferences are significant in shaping (un)sustainable food consumption throughout life. The study shows secondary socialisation can play a critical role in the modification of early behaviour patterns of food socialisation. The authors found individuals replicate food behaviours and values from childhood, but through a process of lifelong learning, can break formative habits, particularly with reverse socialisation influences that prioritise sustainable behaviours.