Search results

This paper aims to explore the concept of “actor engagement” within the context of the sharing economy, a novel and dynamic business model. Specifically, it investigates the formation of actor engagement and its relationship with value creation within this business model.

Drawing on Storbacka et al. (2016)actor engagement framework and service-dominant logic service ecosystem model, unstructured data (text and images) from the Airbnb platform in seven countries and text- and image-mining techniques such as machine learning are used to measure the research variables and test the model by PLS-SEM.

The results indicate that affective engagement has a more significant impact on behavioural engagement than cognitive engagement for multidimensional actor engagement. Service providers’ engagement – directly, and through customer engagement – influences value creation for service providers (i.e. performance). Moreover, national-level moderator (i.e. economic, competitiveness, technology, social and political factors) plays a significant moderating role in our model.

This study encourages future research to explore how actor engagement leads to value creation for all actors on the different sharing economy platforms.

The findings provide practical insights for service providers to engage their customers and platform managers, especially in an international context, on managing their relationships with both customers and service providers in different countries.

This study advances the current literature on actor engagement and its role in value creation by providing a better understanding of the role of the national context in this process through unstructured data analysis.

Today, collaborative consumption platforms support business activities. In particular, the sharing economy (SE) increases social and economic dynamism and reduces environmental impact by conserving resources. Therefore, this paper investigates the sustainable value drivers of sharing economy practices.

We explore multiple case studies as a research approach to answer the research question. Multiple sources of evidence were used to triangulate the data. The SE practices influence several sectors; thus, we conducted a sector analysis investigating the healthcare, food and fashion industries. Analysing different sectors provides valuable theoretical and practical insights, facilitating decision-making and fostering innovation. Sectoral differences emphasize how different sustainable SE models are configured.

The findings highlight that SE allows for the development of sustainable business models attesting to: (1) value capture in the food industry, (2) value delivery in the healthcare industry and (3) value creation in the fashion industry. The study opens avenues for future research.

The originality of this study is in the new lens from which the phenomenon is observed.

The fast fashion industry is one of the most polluting industries. For this reason, the industry should look into new circular business models in order to reduce its material footprint as well as the amount of waste produced. This article focuses on the question of how the sharing economy, as one possible circular business model, can contribute to achieving Sustainable Development Goal 12 (SDG 12) “Ensuring Sustainable Consumption and Production.” After a brief introduction to SDG 12, a short outline of the current development of the sharing economy in the fast fashion sector is given. To develop consumer buying behavior toward environmental sustainability, it is important to understand their motives. Utilitarian and hedonic motives are examined in order to determine to what extent they can positively influence buying intention and thus the acceptance of fashion sharing platforms. The database gathered through a master thesis is used to investigate the specific influence these motives have on buying intention. To increase the acceptance and thus the use of fashion sharing platforms, recommendations for action are developed in the final step of this chapter throughout the five steps of the buying cycle model. Circular business models will play a key role in the context of sustainable transformation in the future. Therefore, it is particularly important to derive concrete recommendations for action based on research in order to get the ecological footprint of environmentally harmful industries – such as the fast fashion industry – under control.

This study analyzes how tech firms can implement the modern wave of subscription-based business model (SBBM), including value proposition, value creation, value capture and performance. In fact, these elements push tech firms to move from traditional to SBBMs.

To achieve the objectives of this study, we initially construct a theoretical framework for applying SBBM. Subsequently, we employ qualitative research to examine the current implementation of the subscription-based economy within tech firms.

A successful SBBM necessitates capturing value through sustainable revenue transactions and revising aspects of the value proposition, creation and capture. Continuous improvement through business value analysis is imperative. Additionally, an agile operations system is vital to address revenue complexities, enable data collection and enhance value proposition, service innovation, churn rate and customer retention, which are essential for SBBM maintenance.

This study delves into how the subscription-based economy is reshaping the business models of tech firms. Beyond exploring the theoretical foundation of this transformative path, this study offers actionable insights on enhancing the value proposition, creation, capture and business value within subscription-based economy frameworks.

This paper aims to conduct a bibliometric analysis of studies focusing on green supply chain management (GSCM) within the context of the digital economy.

We utilize the Web of Science database to search and filter relevant documents spanning the years 2003–2022. This extensive dataset enables us to analyze the growth and cutting-edge developments in research pertaining to GSCM in the digital economy.

The paper finds a significant increase in research interest and output, particularly noticeable from 2016 onwards, indicating the growing relevance of integrating GSCM with digital technologies. It is found that the prominent contribution of countries like China, England and the USA, underscoring a strong geographical diversity in research outputs. China leads in the number of publications, which reflects its significant role in shaping the discourse around GSCM in the digital economy. However, when it comes to citations, the USA leads, suggesting a higher impact or quality of research emanating from this region. Collaborative dynamics outlined in the study demonstrate extensive international cooperation, primarily among leading research countries, which is facilitated by shared digital platforms enhancing the research’s reach and impact. The study also highlights a range of emerging themes such as the adoption of blockchain technology, Internet of Things (IoT) and the circular economy within GSCM, indicating dynamic areas for future research.

The findings of this study hold significant practical implications for researchers, practitioners and policymakers. They shed light on the current state of research in GSCM within the digital economy, highlighting areas where further investigation is needed and pointing to the emerging trends in this field. Understanding the distribution of research and influential authors can guide future collaborative efforts and inform decision-making processes in the pursuit of sustainable supply chain practices in the digital era.

This paper contributes to the existing body of knowledge by providing a comprehensive bibliometric analysis of the evolving landscape of GSCM in the digital economy. It offers valuable insights into the growth patterns, key contributors and geographical distribution of research in this domain. This information is crucial for researchers and stakeholders seeking to stay at the forefront of sustainable supply chain practices in an increasingly digital world.

Self-presentation has emerged as a pivotal marketing strategy for service providers seeking to craft virtual images in the peer-to-peer (P2P) accommodation sector. However, the literature lacks an understanding of conversational self-presentation, which offers more informal and personal communication.

Drawing upon social interaction theory and uncertainty reduction theory, this study explores the impact of conversational self-presentation and its interplay with space sharing and review ratings on customer purchases.

Utilizing the fixed effects model on a panel dataset comprising 498,817 observations from Airbnb, we discover a positive association between conversational self-presentation and customer purchases. Furthermore, our analysis reveals that space sharing reinforces this positive effect, while review ratings tend to diminish it. A deeper mechanism analysis indicates that perceived authenticity plays a mediating role in the relationship between conversational self-presentation and customer purchases.

This study highlights the importance of conversational communication in enhancing host–guest relationships under information asymmetry. However, the proposed model can be extended to other accommodation-sharing platforms in various regions, identifying whether cultural differences exist in explaining the importance of conversational self-presentation.

Marketers are suggested to build a harmonious customer–brand relationship and achieve superior performance through effective online communication.

This study adds valuable insights to the literature about self-presentation, social interaction and customer behavior by revealing the significance of conversational self-presentation in driving the growth of P2P accommodation businesses.

The circular economy (CE) is a sustainable economic model that has the potential to create new opportunities, reduce environmental impact and enhance social well-being. Ho Chi Minh City (HCMC), the largest city in Vietnam, has experienced rapid economic growth in recent years, but at the cost of the environment and public health. The city could reduce waste, conserve resources and promote sustainable production and consumption by adopting CE principles. Employing qualitative research, including content analysis, we construct a SWOT analysis to assess HCMC's strengths, weaknesses, opportunities and threats in the CE context. The city possesses several strengths, such as a vast potential for a CE and a robust economic foundation. However, it also faces multiple weaknesses, including insufficient infrastructure, inadequate citizen and business awareness and participation, ineffective policy enforcement and a deficiency of standards for recycled products. This chapter will conclude that the CE presents an opportunity for HCMC to reduce its dependence on imported raw materials, increase local value creation and create new jobs in the CE sector.

Introduction: The circular economy is observed as a good sustainability practice that has gained importance recently. The effects of this practice specific to the financial industry are examined in the context of green accounting, finance, and sustainability reporting standards and needs.

Purpose: This chapter aims to analyse the impact of the circular economy on the finance industry based on three research questions: (1) What benefits and challenges does the circular economy bring to the financial industry? (2) What should be the financial industry’s strategic roadmap and business model for transitioning from a linear economy to a circular economy? (3) What are the differentiating aspects of ecosystem accounting and environmental accounting in its structure and use in the financial industry?

Methodology: The method of our work is based on a ‘strategic road map for circular economy’ implementation and a ‘sustainability business model framework’ relevant to the finance industry. Thus, we systematically present the ‘value generation process’ considering the industry trends and dynamics and regulatory challenges regarding ‘green business model’ management with a strategic approach.

Findings: To coordinate the transition to a circular economy based on systematic knowledge about the state of ecosystems and their interactions with society, it is necessary to design monitoring, accounting and reporting systems that adapt to the new business operating environment. This chapter provides recommendations from the perspective of the financial sector.

This study aimed to determine the effects of corporate social responsibility (CSR) on gig workers’ commitment to online platforms.

The study’s sample consisted of 357 gig workers in Vietnam. The data was analysed using a partial least squares structural equation model (PLS-SEM).

The research findings suggested that the interaction between CSR and worker commitment with gig platforms has the mediating role of empowerment and trust.

The gig economy is an emerging form of employment relationship, in which gig workers’ commitments are usually to the platform rather than to a sole employer. This study suggests that gig platform owners should improve CSR perception to increase employee commitment and maintain their workforce to attract new users.

This study developed a new framework to explain the relationship between CSR and gig work commitment, and furthermore evaluated the effects of mediating mechanisms of empowerment and trust on gig worker commitment in the gig economy platform.

Existing research has predominantly concentrated on examining the factors that impact consumer decisions through the lens of potential consumer motivations, neglecting the sentiment mechanisms that propel guest behavioral intentions. This study endeavors to systematically analyze the underlying mechanisms governing how negative reviews exert an influence on potential consumer decisions.

This paper constructs an “Aspect-based sentiment accumulation” index, a negative or positive affect load, reflecting the degree of consumer sentiment based on affect infusion model and aspect-based sentiment analysis. Initially, it verifies the causal relationship between aspect-based negative load and consumer decisions using ordinary least squares regression. Then, it analyzes the threshold effects of negative affect load on positive affect load and the threshold effects of positive affect load on negative affect load using a panel threshold regression model.

Aspect-based negative reviews significantly impact consumers’ decisions. Negative affect load and positive affect load exhibit threshold effects on each other, with threshold values varying according to the overall volume of reviews. As the total number of reviews increases, the impact of negative affect load diminishes. The threshold effects for positive affect load showed a predominantly U-shaped course of change. Hosts respond promptly and enthusiastically with detailed, lengthy text, which can aid in mitigating the impact of negative reviews.

The study extends the application of the affect infusion model and enriches the conditions for its theoretical scope. It addresses the research gap by focusing on the threshold effects of negative or positive review sentiment on decision-making in sharing accommodations.