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This study aims to examine the impact of peer-to-peer (P2P) accommodation platforms’ green marketing on consumers’ pro-environmental behavioural intention through the mediation of consumer trust and engagement, following the social influence theory and the stimulus–organism–response model.

A questionnaire survey was designed to collect data from American P2P accommodation consumers. Data collection was conducted through an outsourced survey company. Partial least squares structural equation modelling was used to analyse the data.

The study reveals that P2P accommodation platforms’ green marketing orientation was positively associated with consumer trust in the platform and consumer engagement with the platform. Both consumer trust and consumer engagement positively enhanced consumers’ pro-environmental behavioural intention in the P2P accommodation consumption, serving as effective mediators between consumers’ perceptions of green marketing orientation and pro-environmental behavioural intention.

The study offers practical insights for P2P accommodation platforms and operators in engaging in green marketing and fostering consumers’ pro-environmental consumption behaviours in P2P accommodations.

The study addresses the grand question of whether business operators’ responsible production behaviour can possibly lead to consumers’ responsible consumption behaviour in the P2P accommodation sector. It contributes to the literature on P2P accommodation by providing evidence to show green marketing practices of P2P accommodation platforms can lead to consumers’ pro-environmental behavioural intention. It provides both theoretical value for knowledge advancement and practical value to guide more sustainable industry practices.

Drawing upon protection motivation theory and service-dominant-logic, the authors develop a model, which examines the influence of perceived psychological risk and social media involvement (SMI) on customer-brand-engagement (CBE), brand co-creation and behavioral intention during COVID-19 outbreak in the tourism context. The current research also explores the mediating effect of CBE, and moderating role of tourism-based threat/coping appraisal in the proposed associations.

To investigate such issues, the authors deploy a sample of 320 tourism consumers by adopting partial least squares-structural equation modeling or (PLS-SEM).

PLS-SEM findings revealed that SMI positively impacts tourism-CBE. Secondly, results revealed the customer brand engagement's significant-positive effect on brand co-creation and behavioral intent. Third, results showed the social media's and psychological risk's indirect impact on co-creation and behavioral intent, as mediated through customer brand engagement. Fourth, results exposed a significant/negative moderating effect of threat appraisal and significant/positive moderating role of coping appraisal in projected relationships.

Given the study's focus on pandemic-based SMI, CBE and co-creation, the authors contribute to the existing tourism marketing literature, which also generates plentiful avenues for further research, as delineated.

This research facilitates tourism brand managers to better understand the drivers of CBE and paves the way for managers to develop CBE and threat/coping strategies during pandemic.

Despite the increasing understanding of social media, CBE and co-creation in tourism, limited remains identified regarding the association of these, and associated, factors during pandemic, as thereby explored in the current research.

This study aims to assess the collective impact of social media engagement and anxiety due to COVID-19 on telemedicine adoption intentions with other constructs of the Technology Acceptance Model (TAM) concerning anxiety linked to COVID-19 and the influence of privacy concerns on TAM constructs. These constructs encompass the perception of ease of use, perceived usefulness, one’s attitude toward telemedicine and the intention to utilize telemedicine.

A total of 178 comprehensive responses were gathered over a six-month period from residents in Mumbai, India, to examine the proposed model. The data was analyzed using software tools, including SPSS version 23 and IBM AMOS 21, to compute factor loadings, assess model fit, estimate path relationships and conduct hypothesis testing.

Privacy concerns with telemedicine usage had a significant negative impact on behavioral engagement (B = −0.20, SE = 0.08, p < 0.05) and positively impacted affective engagement (B = 0.25, SE = 0.06, p < 0.01). Similarly, anxiety due to COVID-19 had a negative impact on the perceived usefulness of telemedicine (B = −0.10, SE = 0.03, p < 0.05).

This research addresses a void in the existing literature by merging the TAM and the Social Media engagement theory. This study reaffirms the impact of past and relevant experiences, privacy concerns and COVID-19-induced anxiety on various components of TAM, thus expanding and enriching the TAM model.

Healthcare administrators should implement strategies to alleviate privacy-related apprehensions associated with telemedicine platforms. Additionally, they should promote existing users to create and disseminate positive content to mitigate COVID-19-induced anxiety and foster meaningful engagement, thereby enhancing the willingness to adopt telemedicine.

Providers and promoters of telemedicine platforms and services may lean toward employing digital marketing campaigns that rely on emotional persuasion, including tapping into the fear factor to boost subscription and service sales. Such practices raise ethical questions, underscoring the need for well-defined advertising standards to govern the marketing of these products.

This article is among the relatively rare studies that document the favorable influence of emotional engagement on the intention to utilize telemedicine, underscoring the significant role of emotions in shaping telemedicine adoption Intentions.

Research on training and/or L&D effectiveness is predominantly conducted in a traditional L&D context. Little research is conducted on training and/or L&D in the context of artificial intelligence (AI)-based learning. The present study aims to investigate the relationship between the adoption of AI-based learning systems and learners’ behavior. Drawing from the theory of planned behavior, the research examines the impact of attitude (ATT), subjective norm (SN) and perceived behavioral control (PBC) as AI-based learning intention (ALI) factors relate to changes in learners' behavior. Additionally, inspired by the self-determination theory by Deci and Ryan, the study further examines the mediating role of learner engagement between ALI and behavioral change.

Following a theoretical framework and using a systematic literature review method, the survey research has been planned by considering a sample from Indian industries. The collected data have been analyzed using SPSS-AMOS 27. While path analysis has been conducted to analyze the direct impact of ALI on learners' behavior, Hay’s PROCESS macro has been used to check the mediating impact of learner engagement between ALI and learners' behavior.

The results proved a significant and positive impact of all ALI factors such as ATT, SN and PBC on learners’ behavioral change. Further, the research found that learning engagement (LE) successfully mediates between AI learning intention and behavioral change.

In the absence of any empirical study in identifying the relationship among learning intention, LE and behavioral outcome, the result of this study may provide useful insights to researchers and practitioners.

The study aims to identify the key factors influencing online learning engagement and explore their impact on value co-creation among students. It seeks to offer insights into enhancing student experiences in digital education environments.

This study uses a quantitative research design, using structural equation modelling (SEM) to analyse data collected via structured questionnaire. Participants were graduate students from tier 1 cities in India, representing diverse academic disciplines. The study focuses on four key dimensions of online learning engagement: behavioural, cognitive, emotional and social. SEM was used to investigate the relationships between engagement factors, student motivation and value co-creation in online learning.

The results reveal that behavioural and social engagement (SE) are strong positive predictors of student motivation, fostering active participation and a sense of community. Conversely, cognitive and emotional engagement negatively correlates with motivation, highlighting the need to manage these dimensions to avoid decreasing student motivation carefully.

The study is limited to graduate students from tier 1 cities in India. Further research could explore diverse student groups across educational contexts to validate the results. The study highlights the need for a balanced approach to online learning design.

Educators and administrators can use the findings to design more engaging and motivating online learning environments. Emphasis on fostering behavioural and SE, alongside managing cognitive and emotional aspects, can lead to enhanced student motivation and better value co-creation in digital education settings.

The study emphasises the importance of community building in online learning environments, which can improve students’ educational experience and outcomes. Promoting engagement through social interaction may help bridge gaps in social connectivity, particularly in remote learning contexts, contributing to a more inclusive and supportive learning environment.

This research offers novel insights into the relationship between different dimensions of online learning engagement and value co-creation. Using SEM, the study presents a robust framework for understanding how engagement factors influence motivation and educational outcomes, adding value to online education strategies and fostering more effective learning experiences.

Plastic pollution is a major issue that plagues modern society. Scholars are interested in comprehending consumers’ behavioural actions to address plastic pollution. This study aims to delve into the determinants of consumers’ engagement with social media as a medium to address plastic pollution.

A conceptual model is developed that extends the behavioural reasoning theory (BRT). Using a quantitative approach, 476 responses underwent structural equation modelling analysis.

Results indicate that “reasons for” positively correlate with attitude and intention towards socially responsible engagement. Contrarily, “Reasons against” demonstrated a positive association with socially responsible engagement intention. Attitudes favouring socially responsible engagement correlate positively with the underlying intention. The moderation analysis underscores the positive relation of social return on social media with consumers’ attitude and their “reasons for” leaning towards socially responsible engagement intention. Notably, a positive connection was established between socially responsible engagement intention and the trifecta of consumption, contribution and content creation behaviours.

By enhancing the BRT, this research sheds light on novel perspectives regarding consumers’ engagement on social media platforms. Distinctively, it is among the handful of studies probing the influence of behavioural intention across diverse behavioural outcomes. The insights gained from this study, grounded in empirical evidence from an emerging market, are poised to guide policymakers, governmental agencies and industry practitioners in formulating effective strategies to combat plastic pollution. Additionally, the study can assist in achieving the UN sustainable development goals (SDGs), specifically SGD 12, SGD 13, SDG 14 and SGD 17.

The present study aims to specify, estimate, and validate the composite formative model of consumer eSports engagement (CeSE) through utilizing the composite confirmatory analysis (CCA) methodological approach.

To validate the composite model of CeSE, we collected the data using the Mturk online tool from eSports gamers located in European countries. The partial least squares based structural equation modelling (PLS-SEM) approach was employed using SmartPLS to conduct CCA analyses.

Using CCA, the authors first evaluated the reflective constructs (three first-order dimensions comprising cognitive, affective, and activation) and found reliable and valid reflective constructs. The authors then proceeded to assess the composite formative model of CeSE at higher-order level and resulted that CeSE is a valid composite model. Besides, the nomological network of CeSE with technology acceptance variables (e.g. behavioral intention and usage behavioral were estimated and found significant results).

This study contributes to consumer engagement literature in many directions. First, this study applies consumer engagement scale in the eSports context (i.e. eSports game brands). Second, this study notably specifies, estimates, and validates CeSE as composite model comprising cognitive, affective, and activation factors as first-order reflective constructs and CeSE as second/higher-order formative construct. Third, this study applies CCA guidelines to establish the CeSE as a composite formative measurement model and make significant methodology contribution. Fourth, this study extends the TAM model via studying CeSE as an important determinant of behavioral intention to play eSports games, which in turn impacts on eSports gaming/usage behavior.

Customer engagement is of critical interest to both academics and practitioners. Extant literature focusses primarily on customer engagement with a single focal object, usually brands; this study takes another view to consider customer engagement with multiple focal objects (service provider and context). In addition to testing the relationship of the individual dimensions of engagement with the service provider and engagement with the context, this research elaborates on their drivers, with a particular focus on distinct engagement platforms. The paper aims to discuss these issues.

A survey captures customer engagement with a service provider and a context in a higher education setting, with 251 responses collected across first- and third-year marketing courses in an Australian, mid-sized university.

Engagement with the service provider can drive engagement with the context. In turn, engagement with the service provider can be stimulated through the use of engagement platforms that enable customer-to-service provider interactions. The results show limited effects of customer-to-customer engagement platforms on engagement with the context though. The results are consistent across gender and student grade levels; some differences arise between international and domestic students.

This unique study broadens understanding of customer engagement with various focal objects and also details the flow of effects, from engagement with a service provider to engagement with the context. This research builds on conceptual discussions of engagement platforms and empirically examines their ability to facilitate affective, cognitive and behavioural engagement.

Although recent research appreciates that consumers increasingly interact with brands in brand communities and that brand engagement is an important and complex phenomenon in brand communities, little is known about the nature of individuals’ brand engagement in brand communities. This study aims to identify brand community members’ segments in terms of their brand engagement within the community; help us understand if these segments use a different approach in the development of brand loyalty; and develop mechanisms that can be used to identify members of these segments.

The paper adopts a quantitative approach and uses a total of 970 responses from members of Facebook brand pages in three popular languages on Facebook (English, French and Spanish). Data are analysed with structural equation modelling, integrating FIMIX-PLS and POS-PLS.

The results reveal that cognitive, affective and behavioural engagement dimensions play a different role in driving brand loyalty. Three different segments of engaged consumers exist (emotional engagers, thinkers and active engagers). Variables related to the perceived value of the brand community provide initial explanations as to the differences of the consumer groups.

The data were collected from a specific type of brand communities (Facebook-based, company-managed brand communities) and are self-reported.

This work demonstrates the heterogeneity of brand community members in terms of their brand engagement profile and the effect of this profile on the formation of behavioural brand loyalty. Suggestions on identifying members of these segments based on the value that they get from the community are offered.

This work extends the brand engagement and brand community literature. It is the first work that provides this nature of actionable suggestions to the teams supporting brands with brand communities.

The purpose of this study is to examine the effect on the customer brand engagement (CBE) of followers of an eco-friendly restaurant of their perceptions of the originality of the firm-generated content posted online by the restaurant and the effect of CBE on brand advocacy and behavioural intentions to visit the restaurant, paying special attention to the moderating role of past visits to the restaurant.

The hypotheses were tested using structural equation modelling with a sample of 491 female Instagram users who follow the online account of a particular eco-friendly dining establishment. Two group comparisons were conducted to test the moderating effects in relationships between CBE and consumer–brand interactions (behavioural intentions to visit the restaurant and brand advocacy).

Followers’ perceptions of the originality of the material posted by the eco-friendly restaurant had a positive influence on CBE which, in turn, affected brand advocacy and behavioural intentions to visit the restaurant. Past visits moderated the relationship between CBE and consumer–brand interactions.

This study offers restaurants an understanding of how to develop marketing strategies targeted at females on visual-based social networks; it is shown that original posts encourage favourable responses, such as CBE, brand advocacy and behavioural intentions. Managers should organise events and invite their female followers to visit the restaurant.

This study adds to the knowledge about customer engagement by explaining how firm-generated content posted on Instagram drives CBE and provides specific suggestions as to how restauranteurs might engage online with their clients. This study goes beyond direct effects and analyses the moderating role of past visits to the restaurant on the relationships between CBE and consumer–brand interactions (visiting intentions and brand advocacy).