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We aim to explore how the COVID-19 crisis has initiated entrepreneurship amongst micro-scale businesses in the notably vulnerable street food industry. We highlight Malaysian street food vendors’ remarkable resilience as they evolved from informal enterprises into innovative entrepreneurs during the pandemic. This involves comprehending the pandemic’s impact and the coping strategies these businesses adopt to endure, evolve and thrive.

We carried out a semi-structured interview with 20 street food vendors in Kuala Lumpur, Malaysia. By using a qualitative approach and integrating theories on appraisal, resource management and self-regulated activities, this paper explores vendors’ experiences on their journey towards becoming entrepreneurs regardless of limited resources.

Despite the disruption, COVID-19 offers a crucial wake-up call even for micro-scale businesses. We discover the capability of street food vendors to outlast crisis through transformation into individuals with an entrepreneurial mindset. They adapted by diversifying their offerings and implementing new strategies like digital marketing and e-commerce. We also emphasise the contribution of family members in providing psychosocial support and navigating business challenges as an advantage of employing a highly self-efficacious individual within the group. This transformation not only ensures the survival of micro-scale enterprises but also underscores their potential to thrive and innovate, even in the face of adversity.

This paper extends the existing literature on street vending by integrating the appraisal theory of emotion, resource-based view theory and self-efficacy theory to explore how street food vendors with limited resources have managed to transform the informal business nature into an entrepreneurial environment under the pressure of a crisis.

The study attempts to investigate the role of social media in spreading awareness regarding ayurvedic immunity boosters (AIB) and changes in diet. Further, the study examines the factors affecting the willingness to pay for ayurvedic immunity boosters (WPIB) during the pandemic and new normal situation with the moderating effect of the “fear of COVID-19 infection.”

The data were collected from millennials in two phases, i.e. the first phase (1 July–August 2021) with 300 respondents and a second phase with (June–August 2022) 257 respondents. An online questionnaire was shared with millennials using the snowball sampling technique. Descriptive statistics with SPSS and SmartPLS 4.0 software were applied to analyze the data.

The results found a variation in AIB content sharing on social media during 2021 and 2022. Results found that respondents reported significant changes in their lifestyle and diet, like consuming honey, khada, tulsi tea, etc. In 2021, health consciousness and trust significantly affected WPIB, whereas in 2022, only health consciousness was substantially affected. Fear of COVID-19 infection moderates the relationship between health consciousness, perceived fear and willingness to pay for ayurvedic products, whereas the effect on consumer preference and trust remains insignificant.

Results could help ayurvedic product manufacturing companies understand the consumers' mindset and the factors that stimulate consumers to buy these immunity boosters. Ayurvedic advertisers should design unambiguous messages that focus on health consciousness and have trustable components to encourage consumers to adopt a healthy lifestyle.

This is one of its kinds of studies that presents the contrasts of how the COVID-19 crisis has significantly changed individuals' dietary intake and affected lifestyle patterns.

This paper aims to demonstrate how the design of data visualisations can act as a tool to support social marketing messages in prompting behaviour change to reduce food waste using the Elaboration Likelihood Model (ELM) as a theoretical framework. It also responds to a lack of consumer-led insight to develop campaigns in reducing food waste.

The research uses data collected by the End Food Waste Cooperative Research Centre (EFW CRC) in Australia to determine which text-based campaign messages are most likely to prompt people toward reducing food waste. Behaviour change messages were first identified through workshops with 11 food waste experts, then explored through online focus group discussions with 18 participants from three food-wasting market segments. The messages were further tested via a quantitative survey among 1,000 decision makers in Australian households in their own homes, with the top three performing messages examined using summative content analysis.

The significant findings were that participants want to see 1) evidence of how adopting new behaviours would lead to financial savings and benefit the environment, and 2) concrete steps to reduce food waste. When examined through the ELM, the findings suggest that tools that encourage both cognitive and peripheral processing as a means of persuasion, like data visualisations, may be useful for changing food-wasting behaviours.

Applying principles from the field of communication design to the ELM has uncovered the potential for a cross-disciplinary approach to enhance theoretical frameworks for understanding consumer engagement with messages. This process in turn, may lead to the development of more effective behaviour change marketing strategies.

Six principles for using data visualisations in a social marketing campaign are proposed: personal relevance, ease of use, emotional storytelling, context, prioritising the message itself and long-term usage.

This study proposes that data visualisations could enhance the effectiveness of social marketing campaigns by leveraging consumer-derived insights and the persuasive capacity inherent in their theoretical underpinnings.

The principal aim of this research is to acquire a deeper understanding of the opinion held by the training and development (T&D) professionals, regarding the use of artificial intelligence (AI) technology in the area of T&D. Particularly in response to the evolving needs of learners, the research aims to ascertain T&D professionals' perspective on the efficiency of AI in fostering T&D, while understanding the constraints and limitations associated with this technology.

The study is based on qualitative data. With the help of semi-structured interviews, qualitative data has been collected from 21 T&D professionals. Experts working with multinational corporations (MNCs) are selected as a study sample using a convenient sampling technique. Qualitative data were analysed using thematic analysis. Conclusions were drawn based on the results of thematic analysis.

The findings of the study have revealed a notable and rapid evolution in the requirements of learners, particularly during and post-COVID-19 period. AI-based technology has emerged as a significant contributor, offering learners distinct personalised experiences and enhanced convenience. However, the implementation of AI in training remains in its early stages and has not reached widespread adoption. The findings of the study also highlighted various challenges and limitations, while using AI-based technology for training. It has been found that AI complements rather than replaces the role of a physical trainer.

The originality of this study lies in the application of AI-based training for professional learners, from the perspective of the T&D practitioners working with MNCs in Maharashtra, India. Numerous studies that have recently been published, emphasise the areas in which AI technology can transform the T&D industry. Yet, there are currently very less studies that have attempted to understand the evolving needs of learners and support of AI-based training for the same, from the perspective of the T&D professionals working in Maharashtra, India.

This chapter focuses on the COVID-19 pandemic’s impact on the recognition through discourses of essentiality, of low-status workers and more specifically of care aides as an occupational group that performs society’s ‘dirty work’. The pandemic appears as a privileged moment to challenge the normative hegemony of how work is valued within society. However, public recognition through political discourse is a necessary but insufficient element in producing social change. Based on the theory of performativity, this chapter empirically probes conditions and mechanisms that enable a transition from discourse of essentiality to substantive recognition of the work performed by care aides in healthcare organizations. The authors rely on three main sources of data: scientific-scholarly works, documents from government, various associations and unions, and popular media reports published between February 2020 and 1 July 2022. While discourse of essentiality at the highest level of politics is associated with rapid policy response to value the work of care aides, it is embedded in a system structure and culture that restrains the establishment of substantive policy that recognizes the nature, complexity, and societal importance of care aide work. The chapter contributes to the literature on performativity by demonstrating the importance of the institutionalization of competing logics in contemporary health and social care systems and how it limits the effectiveness of discourse in promulgating new values and norms and engineering social change.

This study examines the construction of essential labour during the early months of the COVID-19 pandemic in the United States. Research questions include: (1) How have government policies shaped designations of essential versus non-essential labour? (2) What are the consequences of these designations for essential workers? To address these questions, the author employs a case study of custodial services employees at Prairie University, a large public university in a major Texas city (Prairietown). The author begins with an examination of federal, state, and municipal guidelines about COVID-19 safety and critical infrastructure in order to understand the policy landscape within which custodial employees at Prairie University were formally deemed essential. Drawing on theories of non-nurturant care work, the author shows how government guidelines for essential work released during the early period of the COVID-19 pandemic discursively invisibilized cleaning labourers. The author then demonstrates how this invisibilization contributed to Prairie University custodial services staff members’ exposure to COVID-19. The author concludes by considering the implications of the findings for future research on care work and the construction of essential labour.

Despite being conjointly stronger in their synergies in the past, there is still a significant gap between management and organization studies and sociology. The temporal lag is also, on occasion, a substantive lag. The emergent sociological concept of emotional reflexivity has recently been used in organizational studies. The question that animates this contribution concerns the nature of this translation, reception, and extension; thus, we ask how organization studies have been using the sociological concept of emotional reflexivity? We will examine recent seminal sociological studies on emotional reflexivity to answer this inquiry and consider some organizational studies citing these. We describe the reception of sociological ideas of emotional reflexivity in management and organization studies literature. By analyzing the differences and disconnections produced within this discourse, it will be possible to understand that emotional reflexivity is rarely addressed in emotional encounters between people and other modes of being in modern organizations. We introduce narrative fiction as a method; the narrative focuses on the relationships between humans and other beings in the workplace dynamics of a vocational school. The story tells how Charlie, a deaf student, changed his life after entering the vocational school and becoming involved with different pedagogical teaching-learning strategies. Adopting two deaf dogs, which had both suffered from past unsuccessful adoption experiences, produced life-enhancing emotional reflexivity. We conclude with a research agenda scoping further directions.

This study aims to understand the perceived emotions of human–artificial intelligence (AI) interactions in the private sector. Moreover, this research discusses the transferability of these lessons to the public sector.

This research analysed the comments posted between June 2022 and June 2023 in the global open Reddit online community. A data mining approach was conducted, including a sentiment analysis technique and a qualitative approach.

The results show a prevalence of positive emotions. In addition, a pertinent percentage of negative emotions were found, such as hate, anger and frustration, due to human–AI interactions.

The insights from human–AI interactions in the private sector can be transferred to the governmental sector to leverage organisational performance, governmental decision-making, public service delivery and the creation of economic and social value.

Beyond the positive impacts of AI in government strategies, implementing AI can elicit negative emotions in users and potentially negatively impact the brand of private and government organisations. To the best of the authors’ knowledge, this is the first research bridging the gap by identifying the predominant negative emotions after a human–AI interaction.

The purpose of this study is to explore the complex interplay between technology, personal norms and emotional factors in shaping the sustainable housing choices of millennials in emerging economies. It integrates the model of goal-directed behavior, technology acceptance model and norm activation model, incorporating both self-interest and prosocial motivations. Key adaptations involve replacing perceived behavioral control with financial self-efficacy and substituting hedonic motivation for anticipated positive emotions. Moreover, it introduces location as a practical anchor.

A quantitative, cross-sectional and descriptive research design was used in this study. Data were gathered from a sample of 610 millennial residential real estate investors across Indian smart cities. A multistage stratified sampling technique was used to ensure a representative sample. For data analysis, partial least squares structural equation modeling was used. The analysis focused on hypothesis testing to examine the relationships between the constructs of interest. Bootstrap t-values and effect sizes were used to assess the significance and magnitude of these relationships, respectively.

One of the key findings of this study was the establishment of significant positive relationships between awareness of consequences, ascription of responsibility and personal norms with behavioral intentions. This underscored the importance of personal ethical considerations in shaping intentions. Perceived usefulness and ease of use were found to significantly influence attitudes positively, highlighting the relevance of these factors in forming favorable attitudes toward behaviors. Attitude, subjective norms, financial self-efficacy and location played significant positive roles. However, negative anticipated emotions decreased desire. This illustrated the complex role emotions play in motivational processes. The study also revealed that subjective norms did not significantly contribute to shaping personal norms. This indicated a potential decoupling of societal expectations from personal ethical obligations in the decision-making process.

This study offers actionable insights for both policymakers and real estate developers. For policymakers, the findings highlight the need to craft initiatives that go beyond mere awareness, instead fostering a deep sense of personal responsibility and environmental stewardship among potential homebuyers. For real estate developers, the emphasis on financial self-efficacy and location suggests a strategy shift toward designing sustainable homes that not only meet environmental standards but also align with buyers’ financial confidence and geographic preferences. Together, these strategies can drive a more widespread adoption of sustainable housing, making sustainability a tangible and appealing choice for millennials.

To the best of the authors’ knowledge, this empirical research study was one of the first studies that contributed to the literature by integrating the model of goal-directed behavior, technology acceptance model and norm activation model. This study thus offered a nuanced understanding of the interplay between normative influences, usability perceptions, ethical considerations and emotions in the context of behavioral intentions.

This paper aims to understand consumption values buying from informal retail markets (i.e., street vendor retailing). It also explores why consumers prefer daily necessary goods from the informal compared to the formal retail market (such as supermarkets, retail chain outlets and e-commerce).

Employing the qualitative research approach, this study collected data from nine respondents in two areas in Malaysia. Data were collected using semi-structured interviews and analysed using the thematic analysis technique. Only representative verbatim codes were presented under five themes of consumption value theory.

Consumers are triggered by the convenience, ease, and exclusive products (conditional value), friendly and known relationship with informal sellers, as well as the availability of some particular food items (emotional value) and lower price and freshness of groceries (functional value) while buying from informal compared to formal retail vendor.

This study provides knowledge implications to the consumption value theory. Functional, emotional, and conditional values are the dominant components of purchase behaviour in informal compared to formal retail channels. Social values are common, whereas epistemic value is more substantial in formal retailing.

Findings are helpful for informal retail businesses to understand consumers' buying behaviour. Informal retail owners should ensure that commodities are fresh, highly affordable and available in the local communities. Building a friendly relationship with consumers would be a key to the success of this retail sector.

Authorities should support informal sellers to set up mobile retail stores in residential areas. This effort would offer greater convenience to both parties in informal businesses and ensure informal sellers' financial and social well-being.

Despite the widespread acceptance of buying goods from informal retail vendors, research on consumption value in informal retailing is largely overlooked. Previous research primarily deals with formal market phenomena due to their size and economic contribution. Consequently, current literature lacks an understanding of why consumers prefer to buy from informal retail vendors for their daily groceries when the formal retail channel could fulfil similar needs. Using a qualitative research design, this research uncovers consumers' buying motives from informal compared to formal vendors.