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Scholars have affirmed that a conceptualization of value co-creation in business relationships should reflect the nature and characteristics of interactional processes that occur in use. The advent of sales and marketing technologies, however, is changing the nature and dynamics of interactions. New trends in digitalization have played a significant role in emphasizing and facilitating the occurrence of business-to- business (B2B) collaborative or sharing economy. The B2B sharing economy and value co-creation are closely intertwined, as businesses harness the power of shared resources and collaboration to generate value in diverse ways. This study highlights the importance of going beyond value co-creation in studying B2B collaborative economy, unpacking the interconnected value processes that influence value co-creation. It also aims at showing the activities that characterize multiple joint value spheres among actors.

The study consists of 49 qualitative interviews with managers operating in different industries.

The paper shows that when considering digital B2B contexts, five joint value spheres in business relationships should be considered: a value co-creation, a value appropriation, a value communication, a value measurement and a value representation sphere. Each one is characterized by specific activities that are relevant from a managerial point of view.

This study highlights that value co-creation has often been over stressed when discussing business interactions, also with the advent of new technologies. Rather, this study offers a more comprehensive view of value co-creation that includes different value processes occurring in joint value spheres. These further processes are relevant because failure and success in business relationships within the B2B sharing economy are often dependent from activities outside the value co-creation process, which strongly affect it. Such knowledge will also open up new research venues and opportunities to better contribute to the practice of value management in business relationships.

Recent literature on customer engagement has introduced the concept of “actor engagement,” which serves as the foundation for this study. The study aims to investigate the formation of engagement and engagement's impact on the performance of sharing economy platforms in an international context.

The study analyses unstructured data from 145,434 service providers and 1,703,266 customers on Airbnb across seven countries (USA, Canada, United Kingdom, Australia, South Africa, China and Singapore). Machine learning techniques are used to measure actor engagement, and the research model is tested using structural equation modelling (SEM).

The findings suggest that actor engagement, encompassing the reciprocal relationship between customer engagement and service provider engagement, has a significant impact on platform performance. The moderator analysis highlights the role of cultural differences in the relationship between customer engagement and service provider engagement and between actor engagement and platform performance. Specifically, the study reveals that actor engagement exhibits a more pronounced impact on platform performance in Western countries (such as the USA, Australia and the UK), compared to Eastern countries (such as China and Singapore).

The analysis of the conceptual model is based on the utilisation of behavioural data obtained from the Airbnb website. Due to the nature of the available data, proxies are employed as measures for variables such as platform performance.

This research is amongst the first to provide empirical evidence for actor engagement formation and the function's role in platform performance in the sharing economy. The global nature of Airbnb as a platform facilitates the investigation of country-level factors, specifically cultural values, across seven diverse countries and highlight differences from business to customer (B2C) business models.

Despite a growing body of research focusing on the dark side of sharing economy development, arguments are fragmented and incomplete. This study aims to address the gap by integrating existing viewpoints based on a provider’s perspective.

This study conducted a bibliometric analysis using text mining and clustering algorithm techniques to measure the scope of scientific output on this topic and identify the main research themes.

Through the bibliometric analysis, this study developed an integrative framework based on the platform providers’ internal management issues and external conflicts with consumers, society, government regulations and traditional business. It also identified significant gaps within each research theme and proposed a future research agenda.

Sharing economy development has not yet been fully understood and regulated, leading to unprecedented challenges to existing business systems. The study addresses knowledge gaps and advances the understanding of the dark side of the sharing economy based on the provider’s internal management and interplay with external forces. It offers a roadmap for future research to advance understanding of the “hidden” dark side of the sharing economy.

The study examines the influence of various congruity factors (economic, safety and Health, hedonic, and functional) on tourists' satisfaction with sharing economy-based services.

A single cross-sectional design is used in the study, with 513 travellers surveyed directly at three different tourist destinations in India. The partial least squares-structural equation modelling approach is used to analyse the data.

The research shows that congruity factors significantly influence tourists' satisfaction with sharing economy-based services. Moreover, satisfaction is strongly associated with recommendation intention for these services and customer loyalty. Additionally, the intention to recommend directly leads to increased customer loyalty.

The results offer pertinent insights for stakeholders in the sharing economy, including tourism marketers, policymakers and corporations. Aligning services with the identified congruity factors can enhance user satisfaction, boost recommendation rates and foster long-standing customer loyalty.

This study stands out for its thorough investigation into how congruity factors influence tourist satisfaction within the context of the sharing economy. Additionally, by focusing on specific demographic differentiators, such as age (gen Z or old gen) and gender (male or female), the study provides a nuanced understanding that enriches the existing body of knowledge.

The study examines the role of attitude, perceived relative advantage and perceived risk on intention to participate in the sharing economy–based cab services in India. Further, it investigates the impact of intention to participate in the sharing economy on transformation expectations of consumers. Finally, the study tests the moderating role of materialism in the relationship between intention to participate in the sharing economy and transformation expectations of consumers.

This study used cross-sectional survey research design to collect data from 408 respondents through online questionnaire in India, an emerging market. The study analysed the data using structural equation modelling technique using IBM AMOS software.

The findings of the study suggest that perceived relative advantage and attitude influences the intention to participate in the sharing economy. Intention to participate in the sharing economy positively influences transformation expectations. Materialism moderates the relationship between intention to participate and transformation expectations of consumers.

In a departure from previous studies, this study establishes that perceived risk may not be an important factor driving the intention to participate in the sharing economy. Further, it is among the first studies to establish the role of intention to participate in the sharing economy as a possible driver of transformation expectations.

The importance of transformation expectations can be communicated as an outcome to encourage participation in the sharing economy. Managers can highlight the relative advantages to promote participation in the sharing economy.

This study is probably the first attempt to understand the transformation expectations of consumers in the sharing economy. Further, the study tests the moderating role of materialism in the relationship between intention to participate and transformation expectation of consumers.

The sharing economy is changing the way people use products and services, and the success of sharing-based apps like bicycle and automobile sharing has drawn a lot of interest across the world. The purpose of this research is to investigate the factors affecting the consumer's adoption of ride-sharing services.

With this aim, the current study integrates the Technology Acceptance Model (TAM) and Expectancy Confirmation Model (ECM) with a further extension of consumer trust and social norms. Using a survey-based research design, data were collected from 558 respondents using multi-stage convenience sampling on 5 point Likert scale. Confirmatory factor analysis is conducted followed by structural equation modelling using IBM AMOS-22.

The findings of the study report crucial determinants for the consumer's continuance intention and actual use of these services. Perceived usefulness, consumer satisfaction, trust and subjective norms were found positively associated with the continuous intention to use ride-sharing services, whereas perceived ease of use was found to be insignificant. This study also highlights antecedents for the consumer's trust towards these services and found reputation, propensity to trust as a significant contributor whereas structural assurance was found insignificant to establish the trust among the users.

The research on consumer adoption towards ride-sharing services are meagre and this study adds the value to the field by integrating TAM and ECM model with further extension of consumer trust and social norms and empirically test the proposed model.

This study examines the use of dark humor in brand-to-brand communications on social media and its impact on consumers' brand perceptions. In particular, this study looks at roasting messages in which a brand humorously insults its peers.

The authors used a sampling method to recruit 286 participants from the United States. They employed an ANOVA and Tukey's post hoc analysis to test the hypotheses, as well as Hayes' PROCESS to test the mediation and moderation effects, including Johnson–Neyman procedure.

The authors found that not all customers find roasting messages funny. Rather, consumers' personality and age will influence their perceived humor of the messages and their brand evaluations. Customers who are young and extroverted are likely to believe roasting messages to be funny. They thus perceive the brand to be cooler and more sincere when using such a communication approach, compared to when the brand neutrally interacts with others. Meanwhile, brands may find less success with old and introverted customers.

This research sheds light on how the consumers' perception of humor in a roasting type of brand-to-brand communication has an impact on consumers' psychological perceptions of brand coolness and brand sincerity. To guide practitioners, it explored how the interaction between a consumer's personality and age moderates the aforementioned relationship.

The purpose of this study is to examine how the pandemic impacted on business-to-business (B2B) cooperation and coordination, as well as on firms' financial and operational performance, from the B2B context in the era of knowledge economy.

With the help of social network theory, coordination theory and existing literature, a theoretical model was developed conceptually. Later, the conceptual model was validated using structural equation modelling technique with consideration of 712 respondents from different firms who are engaged in managing B2B relationships on behalf of their firms.

The study found that the COVID-19 pandemic has had a considerable moderating impact on the relationship between B2B cooperation and coordination with B2B relationship satisfaction. The study also highlighted that there is a degradation of financial and operational performance of firms due to the impact of COVID-19 pandemic on their B2B relationship management.

There is a challenging and ever-evolving global economy caused by the COVID-19 pandemic. Although it is argued that the pandemic has accelerated the growth of some online firms, it has also had a catastrophic effect, culminating in many firms failing. This study has developed a new business model which helps in improving financial as well as operational performance of the firms in post COVID-19 scenario, especially in the era of knowledge economy.

This is a unique study as this study (1) develops a unique theoretical model with high explanative power, (2) demonstrates how digital reliance and new business model help the firms in post COVID-19 pandemic and (3) adds to the body of literature in the domain of digital reliance, knowledge economy and B2B relationship management.

The purpose of this study is to investigate the sales-, rental- and sharing-focused business models for industrial markets by analysing interactions and environmental sustainability efforts within them.

Case studies are conducted at two world-leading manufacturing firms of complex industrial products. The analysis compares how interaction takes place in sales-, rental- and sharing-focused business models in industrial markets for high-technology products in connection with environmental sustainability outcomes.

The findings show the need for different interaction patterns in sales-, rental- and sharing-focused business models at firm, relationship and network levels. The implementation of sharing-focussed business models requires new interactions with actors within firms, between firms and key collaborators and in networks. The firms in our study have made a wide range of efforts to improve the environmental sustainability of their products. Sharing-focused business models have the potential to be environmentally sustainable if products can be shared among customers. However, under-usage of products and the increased need to transport them may reduce environmental sustainability.

This study reveals that although manufacturing firms and customers are willing to implement sharing-focused business models, there are obstacles to achieving the expected environmental sustainability associated with this business model. These are due to the high-technology nature and level of customisation of the associated firms’ products and services, which make it difficult to share resources across firms without advanced adaptations to products such as re-programming. This study contributes to the sharing-focused business model literature for the business-to-business context, by pointing to the pivotal role partnerships with new actors and closer collaboration with existing actors in supply chains can play in enabling sharing-focused business models in the future.

In contrast to existing studies, this paper aims to propose that digital transformation does not depend on a single condition; rather, it depends on the interaction between internal and external factors of a firm. Therefore, the aim of this paper is to examine the effect of a combination of internal and external factors on a firm's digital transformation intention.

An empirical analysis on a sample of 112 Chinese small- and medium-sized firms was conducted by applying smart-PLS and fuzzy set qualitative comparative analysis (fsQCA).

The results of smart PLS show that external pressures (institutional and market pressures) and human capital have a positive impact on corporate digital transformation intentions. From a combination perspective, the results of the fsQCA show that there are five causal conditions that lead to high digital transformation intention. In contrast to the net effect, the results of fsQCA show that different combinations of states of internal (human capital, organizational culture and technological capital) and external elements (institutional and market pressures) of the firm are likely to stimulate digital transformation intention.

This study provides empirically based insights into firms' digital transformation intentions and advances the current understanding of the drivers and inhibitors of digital transformation. Unlike most current research, which tends to focus on the net effect of factors influencing the digital transformation of enterprises, this study focuses on identifying the core elements influencing enterprises' digital transformation intention, especially the joint effect of different factors, both internal and external to the enterprise. The combined SEM and fsQCA findings of this paper not only enrich the existing theories on digital transformation but also have high value in guiding the digital transformation of firms.