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The phenomenal growth in dog ownership, dog-related products and services consumption, and the development of the pet industry emphasizes the need for a deeper understanding of dog-human companionship. This study explored different dimensions of willingness to buy and pay for dog-human companionship.

The study was conducted among dog owners (N = 337). The data was collected from the dog owners through an adapted questionnaire. Variance-based Partial Least Square Structural Equation Modeling (PLS-SEM) was applied to understand the relationship among the variables under study.

The results of the data analysis revealed that specialty purchases and activity/youth had a significant association with willingness to pay for dog companionship. However, boundaries predict the willingness to buy products and services related to dogs. In addition, there was a significant difference between males and females regarding buying intentions, wherein females were willing to buy dog products in the Indian context.

This study provides significant dimensions of willingness to buy and pay for the pet industry. The results of this study can help managers draft marketing strategies to influence dog owners.

This study aims to conceptualize the characteristics of artificial intelligence (AI) dogs while exploring their applications in tourism and hospitality settings.

The total of 30 in-depth interviews were conducted, and data were analyzed through thematic analysis.

This study proposed differences between AI dogs and real dogs and human-like robots, core characteristics of AI dogs’ functions, a matrix of appearance and expectation regarding intelligence for AI dogs and human-like robots, the relationship between ethical barriers and task complexity, adoptions of AI dogs in different user segments and practical applications in hospitality and tourism settings, such as restaurants, city tour guides, extended-stay resorts and event organizations.

This research advances the field of tourism and hospitality studies by introducing the new concept of AI dogs and their practical applications. This present study adds new insights into the opportunities and contexts of human–robot interaction in the field of tourism and hospitality.

To the best of the authors’ knowledge, this research is one of the first studies of AI dogs in tourism and hospitality.

Social impact research remains in its infancy. The purpose of the paper is to build on Keeling and Marshall’s (2022) “Call for impact” paper and develop a comprehensive social impact pathway (SIP) framework. The aim is to encourage marketing researchers, non-profits and corporations to pursue impactful work that is valued, planned, monitored and evaluated.

The conceptual paper explores the complexities of estimating social impact drawing from a range of illustrative cases.

The paper identifies a lack of clarity in the understanding and application of impact and presents a pathway aimed at increasing focus on social impact across future work to deliver the net-positive changes that are needed to reverse biodiversity decline, climate change and social and health inequalities that continue to be persist and be experienced by so many planet wide.

This paper contributes a pathway forward to encourage and support increased utilisation of the framework in future marketing research.

Mapping and measuring SIPs are concerted efforts directing understanding towards identifying the activities that are contributing to the delivery of outputs that can achieve intended outcomes. The measurement of impact directs investment towards activities that ensure net-positive gains are achieved.

Ever growing social inequities, health disparities, loss of biodiversity and environmental degradation occur when practices are left unchecked. A focus on impact avoids greenwashing practices, ensuring that an understanding of what has changed because of the work is transparently reported.

This paper aims to encourage marketing researchers to engage in social change projects, rather than solely disseminating academic findings. Emphasising the importance of an outside-in approach, this paper highlights the necessity of showcasing accumulated outcomes to demonstrate impact.

Social enterprises live in the limbo between social and market objectives, posing many operations management challenges. This study extends the discussion of operational priorities, which has focused on purely for-profit organisations, to the context of social enterprises by exploring, from a resource-based perspective, which resources and operational priorities are most important to them and how they are used to respond to conflicting demands.

Multiple case study research was carried out involving five Portuguese social enterprises, representative of the main sectors in which social enterprises operate in Europe. Ten semi-structured interviews with directors and other high-ranking respondents were conducted, and content was analysed to gather evidence on the key resources and operational priorities pursued by social enterprises. Cross-case conclusions were drawn, resulting in theoretical propositions and a conceptual framework.

Findings suggest that social enterprises rely on intangible resources and combine different operational priorities, which may vary throughout their lifecycle. Community engagement has emerged as a specific operational priority, in addition to those already reported in the manufacturing and services literature. To balance conflicting demands, most social enterprises studied combine innovation with community engagement or customer focus.

The study contributes to the development of knowledge about the operations strategy in the specific context of social enterprises, an organisational model that has not been systematically addressed in the operations management literature, and brings the discussion of operational priorities into the social enterprise field, thus strengthening the link between these two fields.

This paper provides an insight into the left and career of the sculptress Victoria Claire, told in her own words.

This is a lived experience narrative.

Diagnosed with retinitis pigmentosa at the age of 19, Victoria’s life was turned upside down. Plunged into the depths of despair, it was her love for and practice of sculpture and music which saved her and gave her purpose. Years of therapy have helped her to understand and love herself as beautiful imperfection.

The vast majority of us inhabit a “sighted world”. Victoria helps us to understand how many of the things we take for granted are so much harder for the visually impaired.

We all need to be sensitive to helping those with sensory difficulties navigate our social world.

When you look at the amazing sculptures that Victoria creates, you cannot help but be impressed that she can create such works of art using her hands, her sculpting tools and her imagination. We can gaze at the beauty of her creations. She cannot.

The research paper aims to explore how tour guides can contribute to regenerative tourism and the ways in which natureculture guiding practices align with stakeholder interests and the perspectives of tourism futures.

The ethnographic study used a multispecies approach to nature-based tourism in Arctic Norway and Sápmi, incorporating a Sámi methodology and non-human relationality.

The tour guides recognise that they are part of a more-than-human world and practice ethics that are responsible for their relations to non-human actors. Transformative experiences that are active learning opportunities can strengthen a sense of care within the tourists and pose as potential regenerative incomes in local communities, instead of extractive industries. Local knowledge and Sámi ways of being have a vital role in the tour guides' natureculture practices, which can revitalise cultural heritage and strengthen Indigenous empowerment.

The article suggests that tourism management and local governments must prioritise the support of tour guide initiatives involving restorative properties for socio-ecological systems. Citizen science and cultural activities are some ways that can generate a thriving ecosystem and create meaningful interactions between local communities and tourists.

The research highlights the unique role of tour guides as intermediaries who can translate regenerative principles into action, communicate the essence of place and take part in innovative collaborations. Tour guide practices align with the stakeholder view that tourism futures should benefit the communities and respect ecological limits.

This study aims to explore the effects of cat-assisted therapy (Ca-AT) on a patient in their homes, specifically investigating the effects on patient’s memory, behavioral pathology and ability to perform activities of daily living, independently.

A case study design was used in patient’s homes using three measuring scales, namely, Mini-Mental State Examination (MMSE), Barthel index (BI) and Behavioral Pathology in Alzheimer’s Disease (AD) Rating Scale.

The MMSE and BI mean scores were increased, whereas the Behavioral Pathology mean score was decreased. Patient negative behaviors were improved specifically, aggressiveness, anxieties, phobias, and caregiver burden was decreased.

Patients with AD could significantly benefit from Ca-AT in their own homes, and it could decrease caregiving burden.

Ca-AT is a newly developed type of animal-assisted therapy that uses cats to treat patients, especially elderly people with AD, in their homes.

In the era of big data, there is doubt about the significance of causal inference as a paramount scientific task in the social sciences. Meanwhile, data-mining techniques rooted in big data and artificial intelligence (AI) have infiltrated numerous aspects of social science research. This study aims to expound the criticality of discerning causal relationships – beyond mere correlations – and scrutinizes the ramifications of big data and AI in the identification of causality.

This study discusses the challenges and opportunities for causality identification in the era of big data under the framework of potential outcomes model and structural causal model.

First, even in the age of big data, correlations that lack interpretability, robustness and feasibility cannot substitute causality. Second, the richness of the sample size does not help solve the problem of systematic bias in the process of causal inference. Furthermore, current AI research targets correlations rather than causality, thus creating difficulties in advancing from observations to counterfactuals.

This study provides insights into the impact of big data era on causal inference in the social sciences, with a view toward enhancing the pool of theoretical concepts available to researchers in relevant fields and accurately guiding the direction of scientific research in these fields.

While existing research has predominantly focused on the positive relationships between service quality and outcome variables, there has been limited investigation into the influence of food service quality on these variables or the moderating role of stadium atmosphere in the realm of sports marketing. This study aims to fill these gaps by examining the structural relationships between baseball stadium food quality, timeliness, satisfaction, and behavioral intention with an emphasis on the moderating effect of stadium atmosphere.

The data were collected from spectators attending baseball games. This study established the validity of the measurement scale through confirmatory factor analysis, factor loadings, average variance extracted, and construct reliability using Cronbach’s alpha. In addition, this study employed structural equation modeling with maximum likelihood estimation to examine positive relationships and mediating effects and used Jamovi statistical software to conduct moderation analysis.

The findings demonstrate the significant impacts of food quality on satisfaction and behavioral intention, the positive effects of timeliness on satisfaction and behavioral intention, and the notable influence of satisfaction on behavioral intention. Additionally, this study found that satisfaction partially mediates the aforementioned relationships and that stadium atmosphere moderates these pathways.

This study contributes to the literature by addressing the impact of food service quality on outcome variables within sports marketing, an area that has received limited attention. Specifically, it examines how food quality and timeliness influence consumer satisfaction and behavioral intention. Furthermore, the study highlights the moderating role of stadium atmosphere, demonstrating its potential to enhance the relationship between food quality and consumer outcomes. These findings expand our understanding of consumer behavior in sports settings, offering practical strategies for team officials to enhance fan experiences. By diversifying menu options, optimizing concession operations, and collaborating with local vendors, team officials can significantly improve food service quality and create a more engaging stadium atmosphere.

The current study examines a novel model that examines how the online and offline or general personality of the same person predicts social identification with the endorser in a message and their subsequent online behaviors (e.g. ad-skipping) on social media, both differentially and simultaneously.

Real-time ad-skipping behaviors were tracked and analyzed across three online experiments.

The results supported the model explicating the dual and simultaneous influence of offline and online personalities on ad-skipping behaviors. Specifically, in response to a skippable video ad, online and offline personalities respectively increase and decrease viewers’ identification with the endorser. Consequently, the higher or lower the identification, the lower or higher the rate of ad-skipping behaviors.

The current study will benefit from a larger set of real-world data (i.e. big data) to enhance the generalizability of the findings, supporting the model.

With the growing prevalence of the gap between online and offline self-identities driven by social media usage, this paper suggests that the ad message needs to address the dual influence of both online and offline identities on ad-skipping behaviors.

The current study tests a novel model that shows that the online and offline personalities of the same person concurrently influence one’s behavior on the Internet, rather than separately.