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Peer-to-peer (P2P) accommodation has become increasingly popular in recent years, and hotels are facing unprecedented impacts. Attracting new consumers and retaining existing ones are critical to the success of P2P accommodation and hotels. The purpose of this paper is to examine three categories of antecedents for hotels consumers’ switching intention: push (i.e. satiation), pull (i.e. perceived value) and mooring (i.e. optimal stimulation level) factors using push–pull–mooring (PPM) model.

Airbnb was chosen as the research context. An online survey was conducted to examine the proposed research model and hypotheses. A total of 292 valid data were collected from Airbnb users through a survey.

The findings show that the three categories of factors have positive and significant effects on switching intention. Additionally, the mooring factor has a significant moderating effect on the relationship between pull factors and switching intention. Furthermore, the mooring factor affects both pull and push factors.

First, this is one of the early studies to pay attention to switching intention from hotels to P2P accommodation. Second, to provide a comprehensive understanding of consumers’ switching intention, the authors use PPM model to establish the research framework. This research improves the understanding of consumer’s switching intention by identifying the push and pull factors based on the differences between hotels and P2P accommodation in accordance with optimal stimulation level theory and consumer value theory.

The purpose of this study is to ascertain how corporate social responsibility (CSR) managers are justifying the adoption of automation technologies in India, which is simultaneously creating job loss.

Indian firms to become and maintain superior levels of competitiveness in the marketplace had initiated the adoption, as well as usage of automation technologies such as robotics, additive manufacturing, machine learning and others. Such firm initiatives led to job loss in communities where the firm had a presence with its plants and offices. CSR managers primarily engaged with communities to undertake firm CSR initiatives. Job creation and its continuance have been a sacred component in this narrative. The adoption of automation technologies had altered this point of conversation. CSR managers had to justify both organizational actions from a firm perspective and reconcile the same to the community leaders. In this research, an exploratory study was conducted with a semi-structured open-ended questionnaire with 28 CSR experts. Data was collected through personal interviews and the data was content analysed based upon thematic content analysis.

The results indicated that CSR managers rationalized the adoption of automation technologies from a push-pull-mooring (PPM) perspective from a firm centric point of view. While for justification from a community (social) centric perspective, dominantly system thinking with fair market ideology than normative justification, utilitarian rather than deontological thinking (DT) and organizational economic egoism (OEE) rather than reputational egoism was applied.

The study applies the theories of the PPM perspective from a firm centric point of view. While for community-based theoretical justification – system thinking with fair market ideology than normative justification, utilitarian rather than DT and OEE rather than reputational egoism was used.

This study finding would help CSR managers to undertake community activities while their firms are adopting and implementing automation technologies that are creating job loss in the very community their firms are serving. Mangers would get insights regarding the steps they should undertake to create harmony.

This is one of the first studies that delve regarding how CSR managers are justifying the adoption of automation technologies in India, which is simultaneously creating job loss. Theoretically, this study is novel because the study question is answered based upon the adoption of automation technologies from a PPM perspective from a firm centric point of view. While, for justification from a community (social) centric perspective, dominantly system thinking with fair market ideology than normative justification, utilitarian rather than DT and OEE rather than reputational egoism was applied.

This study aims to attempt to investigate the factors that influence non-Muslims’ withdrawal behavioural intention from Islamic banking in Malaysia.

The push–pull–mooring approach is used to examine the determinants of withdrawal intention by non-Muslims from Islamic banking in Malaysia. Variables used in this study include religiosity (RELG) under push, deposit guarantee (DG), rate of return (RR), Islamic banks’ specific factors (IBSF) under pull and mooring factors as social influence (SI) and voluntary switching (VS) as the determinants of withdrawal intention from Islamic banking. In this study, the SPSS Statistics Version 22 and smart partial least squares were used to measure the withdrawal level.

Three variables, namely, SI, RR and IBSF are found to significantly influence the withdrawal behaviour intention. Meanwhile, three other variables, namely, RELG, DG and VS are not significant.

This study provides valuable insights pertaining to non-Muslim consumer withdrawal behaviour from Islamic banks. Bank managers, marketers and regulators could use these findings in developing effective strategies to increase and retain customer withdrawal.

This study expands the understanding of key determinants of the non-Muslim withdrawal behaviour from Islamic banks in Malaysia. To the best of the authors’ knowledge, this research is among the pioneer empirical study to assess the issue.

This study aims to propose a theoretical model to investigate factors affecting the intentions of youngsters in switching to a virtual third place during the COVID-19 pandemic.

This study obtained 221 responses from Indonesian youngsters, which was used to validate the proposed model using structural equation modeling analysis.

The direct effect indicated that perceived behavior and social distance attitude were the most significant predictors of intention followed by boredom and place attachment (PA), and the indirect effect of loneliness and social presence. In addition, moderating impact contributed significantly by providing profound knowledge toward the result.

The combination of PA and personal traits based on the push–pull–mooring framework relating to the virtual third place adoption during the COVID-19 pandemic offered a comprehensive model that has not been explored extensively by previous studies.

The purpose of this paper is twofold: first, to develop a conceptual model using the push-pull-mooring (PPM) framework to understand the switching behavior of small- and medium-size enterprises (SMEs) of batik from adopting traditional marketing to e-commerce; and, second, to test whether the PPM variables prevent or lead to the switching behavior of SMEs of batik to adopt e-commerce.

This study uses a hypothesis which is drawn from related literature, quantifiable measures variables with a 1–5 Likert scale, hypothesis testing and draws the inference about a phenomenon of switching the behavior of SMEs from traditional marketing to e-commerce from the sample of 100 owners of batik SMEs, which are located in Yogyakarta, Solo and Pekalongan. The study used partial least square with the aid of the SmartPLS software program to test the hypothesis.

The result of hypothesis testing indicates that two factors significantly influence the switching behavior of batik SMEs from physical store retailing to e-commerce. The first factor is the desire of SMEs to support the information searching behavior of their customers, and the second factor is the perception that adopting e-commerce can provide value for the SMEs. However, this study fails to prove that the attractiveness of e-commerce can significantly pull the switching behavior of batik SMEs from physical store retailing to e-commerce. Moreover, related to mooring factors, the results show that the computer self-efficacy of the SME owners as a moderating effect is not supported.

This study has several limitations. First, the samples were restricted to the SMEs of batik in three cities (Yogyakarta, Solo and Pekalongan). It is significant to conduct cross-sector, cross countries, cross-region or even cross-cultural investigations on this subject for better explanations of the results from a global perspective. Studies on cultural differences in switching behavior are supposed to accommodate to different individuals from the SME owner. Second, the study does not differentiate the sizes of enterprises; that is, no test was conducted for small-, medium- and large-size enterprises. The study only focuses on SMEs. Different empirical results may be obtained for different sizes because each enterprise size can have a different condition in e-commerce adoption. Second, this study pays more attention to the product categories of stamped batik and hand-drawn batik. Consumers can have dissimilar favorite channels to purchase other types of batik. Future research should also consider this issue.

Within all the opportunities available through e-commerce (support the information searching behavior, save the travel time and travel cost, better service quality to their customer, a lower price to their customer as well, and increase their sales), the SMEs need to enhance e-commerce activities and put it in their strategy for moving forward. On the other side, the government should have a strong interest in helping and supporting the SME through several activities.

The research confirms that e-commerce adoption may benefit SMEs. It may encourage more SMEs to move from the traditional physical store retailing to e-commerce.

Although this study uses the conceptual model from the study of Chang et al. (2017), significant differences exist between the two studies. This study uses the PPM framework in the context of the seller migratory decision, whereas in most studies, the PPM framework is used in the context of the consumer migratory decision. Moreover, most studies about the adoption of e-commerce by owners of SMEs use the theory of reasoned action, theory of planned behavior, technology acceptance model, technology, organization and environment, and unified theory of acceptance and use of technology as the framework.

Financial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).

Through a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.

To fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.

This study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.

The purpose of this study was to comprehend the adoption of artificial intelligence (AI) technology-driven natural large language model (LLM)-based chatbots by customers.

A qualitative research study method was conducted. This was to explore managerial perspectives towards consumer centric technology adoption of AI plus LLM-based chatbots. This was specifically for AI-driven natural LLM-based chatbots services. The author conducted conducted in-depth personal interviews with 32 experts of digital content AI + LLM chatbot services. Thematic content analysis was undertaken to analyse the data.

The advent of natural language processing tools driven by AI technology chatbots has altered human-firm interaction. The research findings indicated that the push-pull-mooring (PPM) factors captured the phenomenon in the most comprehensive way. A total of 15 key factors influencing the adoption of AI technology-driven natural LLM-based chatbots by customers during firm customer interaction were identified in this study by the author. The thematic content analysis unraveled insights regarding transformed consumer adoptions towards AI-driven LLM-based chatbots by means of the PPM framework factors.

The empirical research investigation contributed to the literature on the PPM theoretical framework. This was specifically in the context of adoption of AI technology-driven natural LLM-based chatbots by customers during firm customer interaction.

The research study insights would help managers to restructure and reconfigure their organizational processes. This would neccessiated a shift in firm-customer interactions as demanded because of the availability of AI technology-driven natural LLM-based chatbots by customers.

This research study was based upon the PPM theoretical framework. This study provided a unique analysis of the altered firm customer interaction needs and requirements. This was one of the first studies that applied the framework of PPM theory regarding the adoption of AI technology-driven natural LLM-based chatbots by customers.

The purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework using push pull and mooring (PPM) adoption theory was developed.

Data was collected from 208 Gen Z customers based on 5 constructs related to the adoption of health-care wearables. Confirmatory factor analysis and structural equation modelling was used to analyse the responses. The mediation paths were analysed using bootstrapping method and examination of the standardized direct and indirect effects in the model.

The study results indicated that the antecedent factors consisted of push (real-time health information availability), pull (normative environment) and mooring (decision self-efficacy) factors. The mooring factor (MOOR) was related to the push factor but not the pull factor. The MOOR, in turn, was related to the switching intention of Gen Z customers for health wearables adoption.

The research study extended the literature related to the PPM theory in the context of the adoption of health wearables among Gen Z customers in India.

The study outcome would enable managers working in health wearable organizations to understand consumer behaviour towards health wearables.

The use of health wearables among Gen Z individuals would lead to future generations adopting a healthy lifestyle resulting in an effective workforce and better economy.

This was one of the few studies which have explored the PPM theory to explore the factors for the adoption of health wearables among Gen Z customers in India.

Drawing on the Push-Pull-Mooring model, this study sheds light on the factors that drive tourists to switch from traditional hotels to peer-to-peer accommodation (P2PA) in light of the global spread of the Covid-19 pandemic.

Data have been collected from 380 participants through an online pan India survey. The data were mainly analyzed by adopting structural equation modeling.

All the three categories of push, pull and mooring factors are crucial in explaining tourists' switching intentions from hotels to P2PA. Out of all the factors, subjective norm came out to be the most significant factor while satiation (push factor) and authentic experiences (pull factor) also came out to be important indicators.

The findings of this study carry implications for hoteliers as well as P2PA platform hosts. Hotels need to re-conceptualize their standard services, décor and amenities while P2PA hosts need to continue providing authentic experiences and also comply with all the Covid-19 norms.

The study offers a comprehensive PPM model to determine tourists' intentions to switch from hotels to P2PA. Moreover, this paper is one of the early studies to provide insights into tourists' switching intentions amidst Covid-19.

This study explores the factors that promote university teachers' switching intention from a traditional classroom to a smart classroom based on the push–pull–mooring (PPM) framework to enrich the theoretical research on the smart classroom and provide a reference for smart classroom promotion.

The proposed conceptual framework was developed from a comprehensive review of the related literature. This study tested and validated the proposed framework using a partial least square structural equation model based on 269 valid questionnaires.

(1) Perceived inefficiency, inquiry-based learning, future expectation and technical self-efficacy had significant effects on switching intention, while low participation, perceived usefulness and habit had no significant effects on university teachers’ switching intention in the smart classroom. (2) In the process of decision-making, the course category significantly moderates the impact of perceived inefficiency and technical self-efficacy on switching intention, while the user experience of smart classrooms significantly moderates the impact of perceived inefficiency on switching intention.

This study explains university teachers' switching intention from a traditional classroom to the smart classroom, which enriches the application area of the PPM framework.