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Apples have always been considered a healthy product able to provide curative properties to consumers. In Italy, there is a long tradition of apple consumption and production both as a fresh product and as processed food. However, as with many other products, the consumption of fruits and vegetables and, more specifically apples, has been drastically affected by the first lockdown in 2020. In this project, the authors investigate whether the change in consumption habits had long-lasting consequences beyond 2020 and what are the main eating motivations, food-related behavior and socio-demographic affecting the consumption of fruits and vegetables after the pandemic.

The authors ran two online surveys with 1,000 Italian consumers across a year (from October 2021 to December 2022). In the study, participants answered questions about their consumption habits and their eating motives. Out of 1,000 consumers, the authors included in the final analysis only the participants who answered both surveys, leaving a final sample of 651 consumers.

The results show that participants have allocated more budget to fruit and vegetables after the lockdown than before it. Moreover, consumers reported an average increase in the consumption of apples. However, the increase was more pronounced for people aged between 30 and 50 years old and identified as female. After showing the difference across time, a cluster analysis identified three main segments that differ in their eating motives, place of purchase and area of residence.

Overall, the results contribute to a better understanding of how the global pandemic is still affecting people's daily life. Moreover, the findings can be used to guide the marketing and communication strategies of companies in the food sector.

To the best of the authors' knowledge, this is the first study that investigates changes in the consumption of fruits and vegetables, and, more specifically, apples, in Italy more than one year after the beginning of the COVID-19 pandemic. Moreover, the study proposes a classification of consumers based on their habits in a time frame during which the COVID-19 wave was at its bottom which is not currently present in the literature.

The ripple effect (i.e. disruption propagation in networks) belongs to one of the central pillars in supply chain resilience and viability research, constituting a type of systemic disruption. A considerable body of knowledge has been developed for the last two decades to examine the ripple effect triggered by instantaneous disruptions, e.g. earthquakes or factory fires. In contrast, far less research has been devoted to study the ripple effect under long-term disruptions, such as in the wake of the COVID-19 pandemic.

This study qualitatively analyses secondary data on the ripple effects incurred in automotive and electronics supply chains. Through the analysis of five distinct case studies illustrating operational practices used by companies to cope with the ripple effect, we uncover a disruption propagation mechanism through the supply chains during the semiconductor shortage in 2020–2022.

Applying a theory elaboration approach, we sequence the triggers for the ripple effects induced by the semiconductor shortage. Second, the measures to mitigate the ripple effect employed by automotive and electronics companies are delineated with a cost-effectiveness analysis. Finally, the results are summarised and generalised into a causal loop diagram providing a more complete conceptualisation of long-term disruption propagation.

The results add to the academic discourse on appropriate mitigation strategies. They can help build scenarios for simulation and analytical models to inform decision-making as well as incorporate systemic risks from ripple effects into a normal operations mode. In addition, the findings provide practical recommendations for implementing short- and long-term measures during long-term disruptions.

The proliferation of industry platforms has disrupted several industries. Firms adopting a platform business model have experienced a substantial expansion in size and scale, positioning themselves as the foremost valuable entities in market capitalization. Over the past two decades, there has been a substantial expansion in the body of literature dedicated to platforms, and different streams of research have emerged. Despite considerable efforts and the significant progress made in recent years toward a comprehensive understanding of industry platforms, there is still room for further harnessing the field’s diversity. As a result, the aim of this article is to examine the field’s structure, identify research concerns and provide suggestions for future research, thereby enhancing the overall understanding of industry platforms.

We conducted a thorough examination of 458 articles on the topic using bibliometric methods and systematic review techniques.

Through co-citation analysis, we identified five distinct clusters rooted in various bodies of literature: two-sided markets, industry platforms, digital platforms, innovation platforms and two-sided networks. Furthermore, the examination of these five clusters has revealed three key areas that demand further consideration: (1) terminologies, (2) classifications and (3) perspectives.

While previous reviews have provided valuable insights into the topic of industry platforms, none have explored the structure of the field so far. Consequently, as a first step toward advancing the field, we uncover the structure of the literature, identifying three major areas of concern. By addressing these concerns, our goal is to converge different clusters, thereby harnessing the diversity in the field and enhancing the overall understanding of industry platforms.

This paper posits the need for English language arts (ELA) teachers to foster students’ use of languaging about their relations with ecosystems and peers, leading to their engaging in collective action to critique and transform status-quo systems impacting the climate crisis.

This paper reviews the current theory of languaging theory and research that focuses on the use of languaging to enact relations with ecosystems and others and voice emotions for transforming communities and reducing emissions contributing to climate change.

This review of languaging theory/research leads to identifying examples of teachers having students critique the use of languaging constituting status quo energy and community/transportation systems, respond to examples of characters using languaging in literary texts, using languaging in discussing or writing about the need to address climate change, critiquing languaging in media promoting consumption, using media to interact with audiences and using languaging through engaging in role-play activities.

This focus on languaging in ELA classrooms is a unique perspective application of languaging theory, leading students to engage in collective, communal action to address the climate crisis.

Based on the theoretical predictions of media equation theory and the computers-are-social-actors (CASA) perspective, this study aims to examine the effects of performance error type (i.e. logical, semantic or syntactic), task type and personality presentation (i.e. dominant/submissive and/or friendly/unfriendly) on users’ level of trust in their personal digital assistant (PDA), Siri.

An experimental study of human–PDA interactions was performed with two types of tasks (social vs functional) randomly assigned to participants (N = 163). While interacting with Siri in 15 task inquiries, the participants recorded Siri’s answers for each inquiry and self-rated their trust in the PDA. The answers were coded and rated by the researchers for personality presentation and error type.

Logical errors were the most detrimental to user trust. Users’ trust of Siri was significantly higher after functional tasks compared to social tasks when the effects of general usage (e.g. proficiency, length and frequency of usage) were controlled for. The perception of a friendly personality from Siri had an opposite effect on social and functional tasks in the perceived reliability dimension of trust and increased intensity of the presented personality reduced perceived reliability in functional tasks.

The research findings contradict predictions from media equation theory and the CASA perspective while contributing to a theoretical refinement of machine errors and their impact on user trust.

The hospitality and tourism industry is strongly influenced by new and immersive technologies, such as augmented reality (AR), to enhance customer experiences across a diverse set of touchpoints throughout the visitor journey. This paper aims to provide a holistic understanding of AR marketing for this industry context, present a number of fundamental premises of AR marketing within it and establish an agenda for future AR research.

This study reviews current literature on AR marketing, hospitality and tourism and industry use cases for the creation of a proposed conceptual framework to guide scholars and managers. Based on that, the authors propose fundamental premises.

The three fundamental premises of AR marketing presented are the need to clearly differentiate between AR and virtual reality within hospitality and tourism; the use of AR for the on-trip experience; and the combined focus on content, context, customer and computing devices for a successful strategic implementation of AR.

This study serves as a first point of reference for the strategic integration of AR into hospitality and tourism marketing, both from an industry and academic point of view.

The authors provide a number of managerial recommendations based on our three fundamental premises.

To the best of the authors’ knowledge, this study is one of the first to holistically characterize AR marketing in the hospitality and tourism context. It also highlights the fundamental premises of successful AR marketing and future directions of AR research today and in a spatial computing future.

The study estimates the willingness to pay for organic oranges and identifies its influencing factors among consumers in the Mekong Delta, Vietnam.

The study used survey data from 413 households in the Mekong Delta from March 2022 to July 2022. The choice experiment (CE) and contingent valuation method (CVM) were employed to analyze consumers’ willingness to pay (WTP). STATA 17 software was used to analyze research data in the logit model and mixed logit model.

The research results from the CVM approach show that a number of demographic characteristics have a direct impact on WTP, such as education, educational attainment, family size, the presence of children and the elderly in the household, food safety and environmental awareness. The CE model shows product attributes that influence consumers’ WTP, such as country of origin, traceability, quality grade, organic certification, ecolabel and organic content. Both approaches show that price is the main barrier to organic orange consumption.

The study surveyed four large cities in four provinces representing the Mekong Delta region.

Our study helps administrators have a deeper insight into consumer preferences and behavior, specifically the factors that affect consumers' WTP, an important indicator of demand for the success of manufacturers and marketers in developing as well as improving marketing strategies. Knowledge of a product’s WTP on behalf of (potential) customers plays an important role in many areas of marketing management, such as pricing decisions or new product development.

Furthermore, this understanding will inform policymakers about the future of agricultural markets in Vietnam and help them better prepare for the making of sustainable agricultural policies. Develop organic agriculture to both protect human health, protect the living environment and protect the soil from degradation, ensuring sustainable agricultural production. This is also one of the measures to help people stay away from diseases to limit the social burden.

The study confirms that both CVM and CE models can be used to estimate WTP. However, CVM fits the overall WTP estimate, while CE is more appropriate when estimating WTP for individual scenarios through combining attributes with different levels.

The COVID-19 pandemic dramatically affected the fire service: stay-at-home orders and potential exposure hazards disrupted standard fire service operations and incident patterns. The ability to predict incident volume during such disruptions is crucial for dynamic and efficient staff allocation planning. This work proposes a model to quantify the relationship between the increase in “residential mobility” (i.e. time spent at home) due to COVID-19 and fire and emergency medical services (EMS) call volume at the onset of the pandemic (February – May 2020). Understanding this relationship is beneficial should mobility disruptions of this scale occur again.

The analysis was run on 56 fire departments that subscribe to the National Fire Operations Reporting System (NFORS). This platform enables fire departments to report and visualize operational data. The model consists of a Bayesian hierarchical model. Text comments reported by first responders were also analyzed to provide additional context for the types of incidents that drive the model’s results.

Overall, a 1% increase in residential mobility (i.e. time spent at home) was associated with a 1.43% and 0.46% drop in EMS and fire call volume, respectively. Around 89% and 21% of departments had a significant decrease in EMS and fire call volume, respectively, as time spent at home increased.

A few papers have investigated the impact of COVID-19 on fire incidents in a few locations, but none have covered an extensive number of fire departments. Additionally, no studies have investigated the relationship between mobility and fire department call volumes.

This paper aims to develop an alternative perspective on marketing informed by service scholarship to resolve marketing’s challenges as a discipline and practice.

This paper is conceptual and builds on the ongoing debate regarding marketing’s challenges and on service research to develop a new alternative marketing perspective and model, which could contribute to reforming marketing.

An analysis of the current understanding of marketing showed that the discipline’s myopic focus on activities, which disregards what marketing is as a phenomenon, is the primary reason for the prevailing problems and failure to reform marketing. Based on research into service logic (SL), the paper demonstrates that a higher level view of service can be characterized as the provision of help to the users of goods and services to ensure that these goods and services deliver meaningful assistance in their lives and work. This suggests that the ultimate objective for marketing is to make firms meaningful to the users of their goods and services.

To the best of the author’s knowledge, since this paper is the first to conceptually develop a perspective on marketing and a corresponding model informed by service scholarship, more conceptual and empirical research is necessary. Developing the new meaningfulness-based perspective and model for marketing brings a new approach to the process of resolving marketing’s current troubled situation.

The meaningfulness approach to marketing enables customer-centered marketing strategies to be implemented. Such strategies include both demand-stimulating and demand-satisfying programs.

To the best of the author’s knowledge, this paper is the first to examine marketing’s troubled situation from a service research and SL perspective.

This paper shows the benefits of multi-sited ethnography for global migration studies in management, in particular when cosmopolitan self-initiated expatriates meet a local setting.

The author conducted a multi-sited ethnography to trace how a local East German research organization’s well-intended approach to integration becomes condescending.

Highly skilled non-Western migrant employees who represent English-language cosmopolitanism are framed as negatively “foreign” by corporate discourses and practices. This phenomenon can only be understood if one follows the interconnections of language power, White subalternity and compressed modernity and if one considers the immediate surroundings, the historical context of East German identity and wider migration frames in Germany.

Multi-sited ethnography, if power-sensitive and historically-aware, is suitable for understanding the multi-level phenomenon of global migration and identifying limiting framing-effects on management and organizations. Researcher standpoint is both its strength and its limitation.

Managers and companies can “imagine otherwise” and move beyond the unquestioned dominant frames limiting their problem analyses and, consequently, their strategies and actions.

Managers and companies are enabled to move beyond individual- and corporate-level approaches to managing migration at work and can thus take up full social responsibility in the sense of good corporate citizenship on a global level. Global mobility researchers can work towards an inclusive migration theory.

Multi-sited ethnography, in particular, one that is power-sensitive and historically aware, is an approach not yet applied to migration in the context of management and organization. By means of an example, this paper illustrates the value of this approach and enables researchers to understand its main principles. Compressed modernity and White subalternity are introduced as novel concepts structuring migration, and language power emerges as relevant far beyond the scope of the multinational corporation.