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The development of sharing economy and new information technologies has promoted the emergence of third-party shared manufacturing platforms (TPSMPs). In the shared manufacturing context, one main challenge to TPSMPs is the matching of manufacturing enterprises with insufficient production capacity (capacity demanders) and those with overcapacity (capacity suppliers), where available capacities of capacity suppliers are within time ranges, and orders of capacity demanders can be split. In this capacity matching problem with capacity time windows and order splitting (CMPCTW-OS), each capacity demander's order needs to be delivered on time, while each capacity supplier can also match with multiple capacity demanders and fulfil orders of the capacity demanders by sequence. A mathematical model for the CMPCTW-OS is developed to maximise the total profit of the TPSMP. Then, we design a two-stage heuristic algorithm to solve this model. In the first stage, the inserting algorithm (IA) is used to obtain an initial feasible solution. In the second stage, the iterated local search (ILS) is applied to optimise and improve the initial feasible solution. Finally, in numerical simulation experiments, the effectiveness of IA-ILS has been verified by comparison with the GUROBI solver. [ABSTRACT FROM AUTHOR]

Cloud Manufacturing (CMfg) is a promising approach that leverages the sharing economy to reduce costs and enhance supply chain flexibility. Particularly, when utilised alongside Additive Manufacturing (AM), CMfg is considered a key enabler for collaborative production (CP) systems. However, there is still a lack of planning models that reduce entry barriers for CP. Therefore, we propose a decentralised CP planning framework for AM. In our approach, machines autonomously select jobs from an existing production plan to forward them to other suppliers that can produce these parts more efficiently. A CMfg platform facilitates job forwarding and creates promising part bundles and manufacturing machines autonomously places bids on the packages via a combinatorial $ 2^{nd} $ 2 nd price reverse auction. Costs of the reallocated bundles are shared throughout a Shapley value-based approach without the need to disclose critical information. We benchmark our proposed framework against a centralised planning approach and find that it achieves comparable effectiveness as the benchmark solution. We also show that this mechanism promotes individual rationality and that agents particularly benefit when participating in both offering and acquiring production jobs through the auction. [ABSTRACT FROM AUTHOR]

Opportunities for the shared consumption of publicly available products that once might have been considered personal-use only, such as hand sanitizers and shampoos, are proliferating in the consumer environment. This work explores shared product consumption in these underresearched, but now ubiquitous, contexts. The authors suggest and find, over a series of five studies and across a variety of product domains, that sharing a product with strangers (i.e., sharing-out) engenders a lower sense of identification with the product, which leads to lower perceived product efficacy. They further show that the dampening effect of sharing-out on efficacy perceptions is limited to consumers high in self–brand connection. [ABSTRACT FROM AUTHOR]

Dockless shared micromobility services have grown substantially in recent years, but their impact on consumer demand has remained largely unstudied. The authors estimate how the largest and fastest-growing segment of this market--the dockless electric scooter ("e-scooter") sharing industry--impacts spending in one of the largest segments of the local economy, the restaurant industry. Using data covering 391 companies in 98 U.S. cities, the authors find that the introduction of e-scooters in a city significantly impacts restaurant spending, increasing spending by approximately 5.2% for e-scooter users, driving incremental spending of at least $11.3 million annually across all cities that first allowed e-scooters to operate over summer 2018. Impact varies by restaurant subcategory, with a stronger positive effect on fast-food restaurant spending, and a weaker effect on sit-down restaurant spending. E-scooter entry has a larger impact on companies with higher historical revenues selling at lower prices. It facilitates discovery of new restaurants from prospective customers and repeat business from already-acquired customers. [ABSTRACT FROM AUTHOR]

We contribute to the emerging literature on quality certification by digital platforms by studying the launch of the Airbnb Plus service, wherein the platform inspects properties and provides a badge that presumably signals the quality of the property and the reliability of the host. Our identification strategy relies on the fact that the Airbnb Plus service was launched in different cities at different times, and listings within the cities received the certification at different times. Using a staggered difference-in-differences estimation strategy in conjunction with suitable matching methods, we found that the Airbnb Plus certification increased the weekly booking rate of Plus listings by about 6.8% on average (direct effect). We also found some evidence that non-Plus listings saw a temporary decline in booking rate when one or more nearby properties received a Plus certification (externality effect). The net impact of the Airbnb Plus service on the platform itself was an annual increase in revenue of about $37,500 for the average 2-kilometer zone in a U.S. city that included one or more Plus listings, as compared to matched zones without any Plus listings (local platform effect). We performed additional analyses, including a randomized experiment, to demonstrate the robustness of our findings. Overall, our results suggest that platform-endorsed quality certification has significant economic impacts--not just on the listings that receive the certification but on other listings on the platform as well as on the platform itself. [ABSTRACT FROM AUTHOR]

The Peer-to-Peer sector of the sharing economy relies on reputation systems through which consumers and providers review each other. Whereas prior research has examined the effects of reviews by consumers on providers and firms, this research examines, for the first time, a turn of the tables in which consumers are evaluated. Across a pilot and seven studies (five preregistered), using multiple actual behaviors and sharing contexts, results reveal that a negative review of the consumer from the peer provider leads to negative word of mouth (NWOM) about the platform. Drawing from psychological contract theory, the research demonstrates that this effect is mediated by consumers' perceived betrayal by the platform. Two sets of moderators are identified. The first set establishes that a breach of consumers' psychological contract with the platform underlies the effect. In the second set, platform policies that may render a breach more or less consequential can intensify or mitigate consumer reactions. Specifically, making the review private (vs. public) and providing opportunities for justice restoration (response, revenge, and dispute) attenuate the effect of review valence on betrayal and NWOM. Implications for sharing economy platform managers and consumers are discussed. [ABSTRACT FROM AUTHOR]

Multi-sided platforms must make decisions on both pricing and engineering investment and must continually adjust them as the platform scales over its lifecycle. Engineering investments can be allocated to features that improve a platform's standalone value, social features to take advantage of same-side network effects, or integration tools and boundary resources to facilitate third-party content creation. Guidance in the academic or practitioner literature is not granular. Moreover, relevant normative economic models that consider externalities are rarely dynamic. Hence, there is a gap in knowledge about how to best balance tradeoffs between different strategic decisions throughout the entire platform lifecycle. To begin to address this gap, we explore normative strategies for coordinating pricing and engineering investment decisions on a continuous basis under different ecosystem conditions. We build a simulation model informed by economics and marketing theory and perform extensive sensitivity analyses on key parameters in different ecosystem scenarios over a multi-period lifecycle. We find that pricing and investment strategies must continuously change to perform optimally. In particular, strategies that are most effective at launch often differ from those that are most effective during scaling as well as those most effective at maturity. We also find that the optimal strategy depends strongly on the monetization model and market aversion to price changes. Lastly, we specifically examine four different industry segments: mobile platforms, social media, the sharing economy, and business-to-business. The results provide evidence that the trajectory of platform pricing and investment strategies should greatly differ depending on industrial context. [ABSTRACT FROM AUTHOR]

Media capabilities influence consumers' trust in online exchanges. However, in the sharing economy, where consumers interact with service providers through a platform, conventional models of trust must be revisited. Our research identifies how media synchronicity and anonymity influence the relative importance of institution-based trust in sharing economy exchanges. We collected data from 248 ride-hailing customers and 288 cryptocurrency users to test a moderated mediation model of trust. We find that in the sharing economy media synchronicity and anonymity lead customers to develop trust toward service providers directly and undermine the impact of institutional trust mechanisms. This indicates that in sharing economy exchanges, trust can be built directly with the service provider, or alternatively, indirectly through the platform. Consequently, organizations in the sharing economy can strategically design their systems to engender trust by choosing between (1) emphasizing the platform's reputation or (2) encouraging direct communication between the consumer and service providers. [ABSTRACT FROM AUTHOR]

In global P2P accommodation platform operations, hosts can experience severe stress from the platform company, customers, and technological complexity. Applying sociotechnical theory, this study aims to explore platform stress in the sharing economy and verify the stressor-strain-outcome (SSO) framework. A survey of Airbnb hosts demonstrates that 'conflict with headquarters,' 'negative reviews from customers,' and 'technological complexity' influence the 'strain' of hosts. Furthermore, we verify the role of firm performance that negatively affects switching intention. It also serves as a moderator in the relationship between strain and switching intention. Focusing on platform stress, this study evaluates the concept and definition of platform stress and provides useful insights for platform business operators. [ABSTRACT FROM AUTHOR]

• The consensus that manufacturing was the strategic road for development has recently been challenged. • We constructed an original and extensive database on the world manufacturing production, that provides information about value added and employment for 200 countries, of which 160 developing countries, for the 1970–2018 period. • The study does not reveal evidence of a recent decline of manufacturing in developing countries, including or not China. Rather we document a continuous expansion of manufacturing employment in the developing world, that accounts now for 82 % of the world employment, while the share of the developing economies in the world output has doubled over the period. • Since 2010, we observe and we quantify a new pattern. Manufacturing employment does not increase any more in China, while it has continued to grow at the same pace in the rest of the developing world. • Our findings show that manufacturing has continued to play a key role in economic development. Thus, low-income countries should not give up industrialization strategies and should learn from the recent experiences of rapid industrialization and growth. The "rise of the Rest" and almost all successes in economic development have relied on late industrialization. However, the consensus that manufacturing was the strategic road for development has recently been challenged. This paper addresses the issue of the status of manufacturing for economic development in the current period. To clarify whether the importance of manufacturing in developing countries has declined or not in the 21st Century, we constructed an original and extensive database on the world manufacturing production, that provides information about value added and employment for 200 countries, of which 160 Developing countries, for the 1970–2018 period. The study does not reveal evidence of a recent decline of manufacturing in developing countries, including or not China. Rather we document a continuous expansion of manufacturing employment in the developing world, that accounts now for 82 % of the world employment, while the share of the developing economies in the world output has doubled over the period. Since 2010, we observe and we quantify a new pattern. Manufacturing employment does not increase any more in China, while it has continued to grow at the same pace in the rest of the developing world. Our findings show that manufacturing has continued to play a key role in economic development. Thus, low-income countries should not give up industrialization strategies and should learn from the recent experiences of rapid industrialization and growth. In the near future, the upgrading of China's industrial structure will enlarge the windows of opportunities in manufacturing for late-comers. [ABSTRACT FROM AUTHOR]

In this paper, I describe the practice of sharing and eating wild meat amongst the Orochen in northeast China, a community of hunters who are no longer allowed to hunt due to state conservation policies. I show how for Orochen meat is the material intermediary between the human and nonhuman worlds, offered to the fire before meals and to animal spirit-masters during hunting. I suggest this demands reflection of what we might call the ontology of meat: that is, how it is experienced as an extra-ordinary and relational substance with the 'lived' capacity to act. I show how this contrasts with the Chinese state, which sees wild meat as a material substance only and, in the context of conservation, as something to be measured and controlled through the protection of wild animals. I suggest that, for the Orochen, to eat and share wild meat is an act of everyday resistance embedded in secrecy, as well as a way of rendering into action their ontology of relational existence and participation in the wider socio-cosmic economy of sharing. [ABSTRACT FROM AUTHOR]

The sharing economy is a modern digitalized alternative to traditional economic relationships and is developing and growing dynamically. The most positive evidence suggests that the sharing economy could match the traditional market economy in terms of the volume of transactions. Globally, the main sharing economy markets are China, the USA and Europe, and within the EU consumer interest in sharing services is high as 52% are aware of sharing options and 17% have used them at least once. According to data, the most developed sharing subsectors in the EU are shared accommodation and shared mobility. As these are the main sub-sectors also in the tourism industry, it is obvious that the sharing economy has entered the tourism industry and is rearranging the traditional tourist business. Therefore, the main purpose of the current study is to investigate the tourism application perspectives of the sharing economy on the Bulgarian Black Sea coast as the latter is the highest developed tourist area in Bulgaria. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Building upon the rich tradition of research on governmentality, this paper introduces the notion of market-based governance (i.e. the coordinated efforts of companies to align the conduct of its constituents with the institutional norms, values and interests of the company), and presents an empirical investigation of market-based governance in the context of a sharing economy platform, Airbnb. Whereas existing governmentality research has focused on specific discourses or aspects of governance in the marketplace, our aim is to develop broader-spectrum conceptual tools for 'ordering' the increasingly multifaceted forms of marked-based governance. We show that Airbnb mobilizes three distinct logics of governance (i.e. the regulatory, competitive and communitarian) which subsume diverse modes of power (i.e. the sovereign, disciplinary and pastoral) that contribute to the cultivation of governable subjects (i.e. the compliant subject, entrepreneurial subject and community member). The theoretical framework developed in this work is applied to critically reflect on emergent forms of market-based governance, the dilemmas of multi-logic governance and the uneven geographies of market-based governance. [ABSTRACT FROM AUTHOR]

The school or method of phenomenology, with the fundamental change it created in the interpretation and understanding of philosophy, culture, literature, politics, science and art, caused thinkers to leave the habitual view and repeated analyzes and by suspending the reading of texts through institutionalized traditions. And from the perspective of others, it provided the ground for new perceptions of concepts and intellectual and practical currents. The Qalandariyya school, with its various phenomena and special neomas, has many complexities and ambiguous points. This mystical school is often discussed, interpreted and analyzed through the eyes of others and historical knowledge, and its intuitive and sensory aspects have been ignored. Phenomenology, by suspending previous knowledge and placing the natural view based on historical knowledge in parentheses, provides a kind of sensory and intuition-based view to look at this mystical school and sect, through which we can also understand some of He understood the neglected aspects of this intellectual and practical flow with a sensory and direct view, and he understood the same type of Qalandran's view of existence and mystical issues that provide the reasons for distinguishing this sect from other mystical sects. The current research has explained this cult based on the phenomenological method with the library method and qualitative content analysis and has come to the conclusion that Qalandari's poetry is descriptive in nature. Qalandarsara poets have their own definitions of mysticism. The purpose of this school is to fight against the Riyazdeh society and the false and holy claimants. The Qalandariyya school has a contradiction between claims and actions. [ABSTRACT FROM AUTHOR]

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The performance of platform flexible employees is a core element that contributes to the rapid growth of the sharing economy platform. It is crucial to explore strategies to improve employees' performance with the growing competition among these platforms. Only a handful of research evidence has been found evaluating platform flexible employees' psychological capital and work engagement to improve their performance. In order to remedy the gap, we draw on self-determination theory to develop a moderated mediation model, which examines how psychological capital affects platform flexible employees' job performance. We employed hierarchical regression analysis to test the theoretical model and carried out two rounds of surveys, resulting in 474 valid paired questionnaires. The questionnaire assessed the psychological capital, work engagement, job performance, and job autonomy of flexible platform employees. The results indicate that work engagement plays a mediating role between psychological capital affects platform flexible employees' job performance. Moreover, job autonomy moderates the mediating effect. The findings not only contribute to the literature on employees' psychological capital and job performance, but also broaden the research scope of self-determination theory, and provide new ideas for improving the job performance of platform flexible employees. [ABSTRACT FROM AUTHOR]

In the digital era, digital economy has a far-reaching impact on the collaborative agglomeration of manufacturing and service industries. This research aims to examine the economic relationship between digital economy and industrial collaborative agglomeration. Based on a panel data set of 286 Chinese cities, this research employs Tobit model, moderating effect model, and mediating effect model to conduct data analysis. It is found that digital economy has a nonlinear relationship with industrial collaborative agglomeration, and this relationship is a U-shape. Moderating effect analysis reveals that government intervention significantly regulates the role of digital economy in industrial collaborative agglomeration. Mediating effect analysis indicates that digital economy promotes industrial collaborative agglomeration through entrepreneurial activity. Heterogeneity analysis shows that the facilitating effect of digital economy on collaborative agglomeration in high-end industries comes earlier than in middle- and low-end industries. Moreover, this research finds that digital economy plays a significant role in industrial collaborative agglomeration in central and western regions of China but not in the eastern region. To enhance the impact of digital economy on industrial collaborative agglomeration, it is crucial to strengthen the engagement of the government and ensure the availability of digital technology. [ABSTRACT FROM AUTHOR]

This research aims to identify the strengths, weaknesses, opportunities, and threats of the meal-sharing economy, which has been gaining increasing interest and users worldwide. To achieve this goal, the experiences of hosts, who play a key role in the meal sharing economy, and tourists who benefit from this service were evaluated using a SWOT analysis. A phenomenological design, one of the qualitative research methods, was chosen for the study. The snowball sampling technique was used to select participants. Data were obtained through online semi-structured interviews. The collected data were transcribed and analyzed using descriptive and content analysis. Although the analysis showed that there are threatening factors and weaknesses in meal sharing economy activities, the findings suggest that, with proper implementation, meal-sharing economy activities can be a suitable and value creating gastronomy and tourism activity for both destinations and tourists. [ABSTRACT FROM AUTHOR]

The Urban Living Lab (ULL) is both a methodology and a place where different actors of a territory can collaborate with the aim of urban transformation and sustainable development. This paper briefly introduces a methodological framework, that combines stakeholder engagement and co-design process on Circular Economy (CE) ideas and projects. The structure of the methodological framework foresees four main phases: scouting and analysis of the territorial context, listening and exploration, participation and execution. The main objective of this paper focuses on the application and experimentation of the same ULL methodology framework in four different Italian urban territories (Anguillara Sabazia in the metropolitan area of Rome, Bologna, Taranto and Venosa, a small town in southern Italy), to highlight how the ULL is an effective approach for stakeholder engagement and co-design processes aiming to the transition toward CE. The discussion section of the four ULL cases highlights the main results of the co-design process: the ideation of project proposals of CE activities suitable for implementation in the reference urban territories. The four ULL cases have shown how the same methodological steps can be applied in urban areas with different geographical, territorial and socio-economic characteristics, with comparable results in terms of activating processes of engagement and co-design within the communities living there. In conclusion, experimenting the proposed methodological framework in each of the four urban areas, despite their differing characteristics, it has stimulated the growth of cultural capital and community ties. This was achieved through the exchange of different skills and the collaborative contributions of multidisciplinary teams, resulting in increased collective awareness. [ABSTRACT FROM AUTHOR]

Faced with dynamic and increasingly diversified public transport requirements, bus operators are urged to propose operational innovations to sustain their competitiveness. In particular, ordinary bus operations are heavily constrained by well-established route options, and it is challenging to accommodate dynamic passenger flows effectively and with a good level of resource utilization performance. Inspired by the philosophy of sharing economy, many of the available transport resources on the road, such as minibuses and private vehicles, can offer opportunities for improvement if they can be effectively incorporated and exploited. In this regard, this paper proposes a metric learning-based prediction algorithm which can effectively capture the demand pattern and designs a route planning optimizer to help bus operators effectively deploy fixed routing and cooperative buses with traffic dynamics. Through extensive numerical studies, the performance of our proposed metric learning-based Generative Adversarial Network (GAN) prediction model outperforms existing ways. The effectiveness and robustness of the prediction-supported routing planner are well demonstrated for a real-time case. Further, managerial insights with regard to travel time, bus fleet size, and customer service levels are revealed by various sensitivity analysis. [ABSTRACT FROM AUTHOR]

Copyright of Builder (1896-0642) is the property of PWB MEDIA Zdzieblowski sp.j. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To encourage consumers to reuse their used products, some manufacturers launch second‐hand platforms while others adopt sharing platforms. Which platform benefits them more is an interesting problem for such manufacturers. To address this problem, we propose a two‐period model in which heterogeneous consumers decide whether to buy new products in Period 1 or to rent (buy) used products on the platform in Period 2. Under a proportional transaction fee, we show that the two platforms can benefit the manufacturer if the unit production cost is high, and the valuation difference is low or the number of high‐value consumers in Period 1 is fewer than in Period 2. Moreover, the two platforms are equivalent when the salvage value is 0. When the salvage value is positive, the second‐hand platform benefits the manufacturer more than the sharing platform. The sharing platform induces the manufacturer to set a higher sale price than the second‐hand platform when the unit production cost is high and there are fewer high‐value consumers in Period 1. Otherwise, the sale and reselling prices are higher under the second‐hand platform. We also consider the cases with a general consumer valuation distribution, multiple product life cycles, and a fixed transaction fee. Our findings can help manufacturers make the decision on platform choice to handle used products. [ABSTRACT FROM AUTHOR]

The sharing economy affords new opportunities to the global tourism industry, accelerating the development of tourism at a striking rate. This paper examines productivity of the bed and breakfast (B&B) industry and how to improve the performance of the B&B industry in a sharing economy. A modified global Malmquist index using slack-based measures is developed to measure productivity, and benchmark selection models using technology forecasting are proposed to improve future performance. The future technology is forecasted by averaging the frontier shifts (technology changes) in previous periods. This study challenges the implicit assumption that the technology will be stationary in traditional benchmarking, and suggests that how the information of frontier shifts derived from Malmquist index can be used to forecast future technology in a rational manner. The empirical results inform that there is a productivity growth in the B&B industry in a sharing economy, and the main driver of the growth is technology progress rather than performance improvement. In particular, a counterintuitive but interesting result is that the B&B industry experienced a slight productivity growth after the outbreak of COVID-19. The benchmarks in 2021 and 2022 are forecasted to improve the performance of the B&B industry. [ABSTRACT FROM AUTHOR]

The sharing economy substitutes owning with accessing, promoting sustainable development by reducing excessive consumption and resource overuse, which harm the environment. Sharing reduces resource and energy use, lowering emissions and waste disposal costs, thus reducing environmental damage. This study identifies key factors that encourage Generation Z to embrace the sharing economy for goods and services, emphasizing its role in sustainable development. Conducted in May 2023, the study surveyed 442 Polish Generation Z individuals to examine their attitudes and behaviours regarding climate change. The research focused on this demographic due to their crucial role in addressing global issues. Data was collected using the CAWI method and analyzed with IBM SPSS and AMOS software through structural equation modelling (SEM). The analysis revealed three factors: Willingness to Share for Savings (WSS), Digital Customer Engagement (DCE), and Environmental Concern (EC). The results show that ecological concerns and digital engagement significantly influence people's willingness to share, boosting environmental awareness and cost-saving behaviours. Generation Z's sharing propensity and environmental consciousness are significantly shaped by digital engagement. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Underpinned by the Experience Economy framework, this study investigates the increasingly popular online peer-to-peer tourism experience and its impacts on participants' post-experience recommendations. Using Airbnb Online Experiences reviews, a mixed method design including text-mining, sentiment analysis, and regression was performed. Findings show that participants' sentiments toward educational, escapist, and entertainment aspects positively influence their recommendations. Their positive experiences with hosts enhance the positive relationship between participants' educational experiences and recommendations. This study contributes to extant tourism literature by empirically developing a detailed and comprehensive perspective of the emerging peer-to-peer online experiences in tourism. [ABSTRACT FROM AUTHOR]

Cooperatives and worker-owned companies, as representatives of the Social Economy, prioritize people over capital. This prioritization is reflected in more equitable and inclusive workforces. Comparative analyses of these types of enterprises compared to commercial enterprises show smaller gender gaps, both in employment participation and in working conditions. The purpose of this paper is to determine the probability of access to positions of greater responsibility in these enterprises and to see whether women have a greater probability of access in these social economy enterprises than in commercial enterprises, concluding that they face fewer obstacles and that the glass ceiling is more fragile. Based on a decade-long analysis of labor trajectories and social security registration data, estimates indicate that female employees in cooperatives and worker-owned companies have a higher probability of reaching the highest contribution group than men. During the analyzed period, these companies have prioritized the integration of women into decision-making roles and have not faced a glass ceiling. This trend is particularly evident among workers aged over 30. [ABSTRACT FROM AUTHOR]

An underdeveloped theme in scholars' understanding of the personal services sector of the platform economy—also known as the "sharing economy"—is change. Most research on ride-hail, food delivery, accommodations, and other personal services has offered largely essentialist accounts. In this paper, we focus on how platforms have become increasingly "commercialized." In labor-intensive services, commercialization occurs as a growing fraction of the work is done by a core of full-time, dedicated workers. However, platforms that rely primarily on capital may display similar dynamics, in which a small number of participants account for the majority of activity and capture the largest share of value. In this paper, we present the first comprehensive account of commercialization of a major platform. We analyze how Airbnb markets in the 10 largest short-term rental markets in the United States changed between 2015 and 2019. We find considerable evidence of commercialization, as a rising majority of properties are rented on a very frequent basis, and casual listings, while still present, are a small and falling percentage. Relying on an original database of regulations, we show that enactment of even the strictest regulations has not durably reduced the number of listings and has had limited success in altering the mix of commercialized and casual listings over this period. We also consider the impact of COVID-19 on this platform and the sharing sector. We conclude that the short-term rental market on Airbnb has become a fairly conventional one, with little of the peer-to-peer character of its earlier days. [ABSTRACT FROM AUTHOR]

The purpose of the study is to highlight the important amenities listing variables and the pervasiveness of the determinants to the "superhost" status in the online shared destination accommodation of the tourism and hospitality market. The potential guests consider the superhost status as a quality indicator of the Airbnb accommodation and promise of the host for their offered amenities and thus increasing their rental demands resulting in more revenue from more bookings. Using the Airbnb listing dataset of four cities of Canada and eleven cities of the United States, the study applied six different data mining techniques to find the importance of listing variables. It identified essential amenities based on their presence among the top variables in the applied models. The findings of the study were the identification of a reduced set of offered amenities and service variables that influence Airbnb's reward of the "superhost" badge as a visual symbol of trust and credibility. Thus, the findings help to develop better service quality for tourists and at the same time helps to mitigate the complexities confronted by hosts with multiple listings. [ABSTRACT FROM AUTHOR]

With the prosperity of the private vehicle industry, people can envision that parking spaces will be much scarcer than ever, especially in those central business districts (CBDs). As one of the by-products of the sharing economy, shared parking allows people to rent the idle private parking spaces nearby, balancing the parking demand in different districts. However, renters need to comprehensively measure the cost and the distance between the parking space and the destination, sometimes, in which the additional constraints (e.g. time limitation) make the decision more complicated. To solve the aforementioned challenge, a Genetic Algorithm Based Dynamic Shared Parking method is proposed. Firstly, the framework of parking space sharing for private cars in CBDs is constructed. Then, the approach based on NSGA-III is designed to generate the approximately optimal solution according to current requirements and the situation of idle parking spaces. The experiments investigate the impact of different metrics to the optimization objective in detail and the results of follow-up comparisons indicate that our method effectively saves the cost in shared parking and improves the social benefits. [ABSTRACT FROM AUTHOR]

Based on a review and synthesis of literature on Hybrid Business Models (HBMs) and the sharing economy (SE), this study advances a conceptual framework for HBMs in the context of the SE. The study sheds light on key research themes within the domain of HBMs, encompassing value proposition, governance and coordination, resource allocation, sustainability, reputation building, communication channels, and key sharing ecosystem partners. These models integrate elements such as access, platform, and the community-based economy, which are crucial for SE dynamics. This integration represents the best of both approaches, creating a balanced strategy and strengthening overall business operations The managerial implications, including the need for managers to leverage information technology for developments, are identified and outlined. [ABSTRACT FROM AUTHOR]

This study investigates the intangible assets related to the circular economy, defined as 'circular patents', that are classified and measured to be bundled into the innovation capabilities of a firm. The impact of a business's capabilities on its level of circular patent activism is empirically analysed in this study in a theoretical framework of dynamic capabilities. To this end, a model of the cause-and-effect relationship between the circular patents held by firms and their capabilities is designed using partial least squares structural equation modelling (PLS-SEM) and is tested using a sample of 120,406 patents in 2216 Spanish companies. In this analysis, patents that can foster the sharing economy and the circular economy in sensu latu are also considered circular patents, in addition to waste patents and other green patents, offering an enhanced measurement of the intangible assets related to the circular economy. Based on these results, this study provides new insight of how accounting can enable or constrain the transition to a circular economy business model through the measurement and valuation of related intangible assets and the specific business' capabilities in an environmental management framework. [ABSTRACT FROM AUTHOR]

This study investigates trust dynamics in sharing economy services during the COVID‐19 crisis, comparing Airbnb and Uber as prominent representatives of accommodation and transportation services in tourism. Guided by two research questions, the study first explores the antecedents and mechanisms of trust creation on these platforms and then examines how the global pandemic affected trust in these services. The findings reveal that structural assurance, privacy protection, and social influence (only for Uber) are key antecedents of trust. Trust, in turn, significantly influences perceived usefulness and the intention to use both platforms. The results also show that perceived risk, heightened by COVID‐19 concerns, negatively moderates the relationship between trust and usage intention. Comparing the two platforms, Airbnb exhibited higher levels of structural assurance, perceived usefulness, social influence, and usage intentions than Uber. Theoretically, this study advances knowledge by integrating technology acceptance literature with trust‐focused insights from tourism research. Practically, the findings guide sharing economy platforms in enhancing user trust and intention, particularly during crises. [ABSTRACT FROM AUTHOR]

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This paper focuses on the actors in the new emerging Cold War. In the last century, the world was experiencing a phase of geopolitical rivalry between two major powers, commonly referred to as the Cold War. After surviving fifty years of proxy warfare, sanctions, arms race, and security concerns between the two dominant worldwide factions, the struggle finally came to an end. The USA exerted significant influence over the western bloc, while the Soviet Union dominated the eastern bloc. The global geopolitical scenario has seen substantial transformations in the twenty-first century. The global landscape has shifted towards a multipolar configuration, resulting in conflicts that have highly unorthodox characteristics. China, being a major player, actively engages in world politics and is enjoying a fair share in a market economy and the development of infrastructure. Amid the ongoing global quest for dominance, Europe is experiencing an emergence of new dynamics, each with its unique alliances and ideas. This article aims to analyze the potential for collaboration and conflict between the major players in the emerging global power transition during the early stages of this Cold War. [ABSTRACT FROM AUTHOR]

Problem definition: We consider a platform's problem of how to staff its operations given the possibilities of hiring employees and setting up a contractor marketplace. We aim to understand the operational difference between these two work arrangement models. Methodology/results: We consider a model where demand is not only stochastic but also evolving over time, which we capture via a state of the world that determines the demand distribution. In the case of employees, the platform controls the number of employee hours it uses for serving demand, whereas in the case of contractors, it sets the wage paid to them per utilized hour. We show that although the employee problem is equivalent to a standard newsvendor, the contractor one corresponds to an unusual version of the newsvendor model where utilization is the control variable. Managerial implications: This distinction makes the contractor model more flexible, allowing us to prove that it performs significantly better, especially if the order of magnitude of demand is unknown. Meanwhile, hybrid solutions that combine both employees and contractors have complex optimal solutions and offer relatively limited benefits relative to a contractor marketplace. History: This paper has been accepted in the Manufacturing & Service Operations Management Frontiers in Operations Initiative. Funding: This research was partially supported by the National Natural Science Foundation of China [Grant 71821002]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2023.0029. [ABSTRACT FROM AUTHOR]

Recent history has shown both the benefits and risks of information sharing among firms. Information is shared to facilitate mutual business objectives. However, information sharing can also introduce security‐related concerns that could expose the firm to a breach of privacy, with significant economic, reputational, and safety implications. It is imperative for organizations to leverage available information to evaluate security related to information sharing when evaluating current and potential information‐sharing partnerships. The "fine print" or privacy policies of firms can provide a signal of security across a wide variety of firms being considered for new and continued information‐sharing partnerships. In this article, we develop a methodology to gauge and benchmark information security policies in the partner‐selection process that can help direct risk‐based investments in information sharing security. We develop a methodology to collect and interpret firm privacy policies, evaluate characteristics of those policies by leveraging natural language processing metrics and developing benchmarking metrics, and understand how those characteristics relate to one another in information‐sharing partnership situations. We demonstrate the methodology on 500 high‐revenue firms. The methodology and managerial insights will be of interest to risk managers, information security professionals, and individuals forming information sharing agreements across industries. [ABSTRACT FROM AUTHOR]

The hedonic pricing method has been applied in the analysis of hotel room rates since the early 1990s and ever since has become the norm in the investigation of hotel room price determinants. A usual problem in the specific literature is that there are no theoretical guidelines in selecting the explanatory variables in hedonic pricing models. Therefore, scholars employed in such kind of research face the challenge of which of the numerous price determinants proposed in the literature should they include in their own analysis, with the hazard of multicollinearity complicating the issue even further. The current article proposes a strategy where both the variable selection problem and the potential multicollinearity are faced by utilizing a combination of stepwise regression techniques with a proper categorization of the candidate regressors. This procedure is used in analysing the determining factors of the hotel accommodation prices in Cyprus, a country whose economy is highly dependent on tourism, for 12 consecutive months, in order to account for the inherent seasonality. The main findings suggest that adding some attributes to the advertisements of the hotels significantly increase hoteliers' remunerations, but advertising certain other features may be actually sending negative signals, therefore hoteliers should consider excluding them from their brochures. [ABSTRACT FROM AUTHOR]

The objective of this study is to provide an integrated view of the body of knowledge of value co‐creation in the sharing economy in terms of the topical content and the research background. To this end, this study conducts a systematic literature review guided by the SPAR‐4‐SLR protocol. Leveraging the integrated ADO‐TCM framework, the review identifies 39 antecedents under 3 categories, 7 decision constructs, and 18 outcome constructs related to value co‐creation, as well as the prevalent theories, contexts, and methods explored in this domain. The review exposes several research gaps and offers insightful future research pathways that are directed toward theory, context, and method. These pathways can serve as a guide to strengthen and advance the theoretical, contextual, and methodological foundations of future research, contributing to the sustained evolution of the domain. [ABSTRACT FROM AUTHOR]

Drawing from costless signaling research, we examine the role of virtue language in Airbnb listings. We propose that virtue language espoused by entrepreneurs is beneficial for Airbnb price premiums—but only to a certain extent. Specifically, we argue that virtue language espoused by entrepreneurs has a curvilinear relationship with the price premium of their listings, suggesting that excessive use is seen as dishonest and becomes detrimental to their performance. We also suggest that this relationship is more pronounced when the entrepreneur is perceived to be more credible and when the entrepreneur is venturing into more conservative markets. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to investigate the role of the service provider in determining customer satisfaction in sharing economy services. The authors sought to examine how the intrinsic and extrinsic cues along with their interactions influence customer satisfaction. Design/methodology/approach: This research uses a mixed-methods design to test the hypotheses. Study 1 uses secondary data from Inside Airbnb. Study 2 uses a 2 × 2 × 2 between-subject experimental design. Findings: Both studies support the confirmation bias perspective over the expectancy-confirmation perspective in explaining the interplay among different cues in determining customer satisfaction. In the context of Airbnb, in the absence of a Superhost badge, if hosts adopt a reactive communication style, physical presence has a greater impact on customer satisfaction compared to virtual presence. Originality/value: This study extends the services marketing literature and cue utilization theory by investigating the dynamic interactions among multiple intrinsic and extrinsic service cues. It shed new light on how a combination of these cues may become additive or redundant in determining customer satisfaction. This study contributes to the services marketing literature by addressing the interactive nature of sharing economy services and the neglected role of service providers. [ABSTRACT FROM AUTHOR]

The evolution of rent sharing is studied. Based on a panel of the top 300 publicly quoted British companies over 35 years and using excess stock market returns to patenting activity as an instrument for economic rents, the paper reports evidence of a significant fall over time in the pass-through from rents to wages. It confirms that wages do respond to firm-level shocks to economic rents, but by significantly less after 2000 than during the 1980s and 1990s. The evidence of decline is robust, corroborated with alternative instruments and industry-level analysis for the United States and the European Union. [ABSTRACT FROM AUTHOR]

Business orientation toward sustainable development goals and the circular economy are relevant research topics today in business theory and practice. The waste recycling sector is a key industry in the circular economy framework for promoting clean production and environmental sustainability. This study analyzes business performance in the recycling sector, focusing on efficiency indicators. The associations between firm efficiency and risk variables were also evaluated. The study goes through several methodological stages, including a Data Envelopment Analysis (DEA) multistage method and multivariate modeling: tobit regression, bootstrap models, and generalized method of moments (GMM). The main results indicate that the average efficiency of waste recycling firms is at a medium level. Large-sized firms achieve higher levels of efficiency than medium-sized and small firms, supporting the economies of scale hypothesis. The evidence also suggests that risk variables (rating score and Zscore) and capital structure are key determinants of firm efficiency in the waste recycling industry. [ABSTRACT FROM AUTHOR]

CouchSurfing is a non-profit internet site through which people offer or get free lodging in the host’s home. The aim of the current article is to compare the various motivations of sharing behaviours occurring amongst Brazilian and Portuguese when guests, as far as the use of Couchsurfing as an alternative tourism activity is concerned. The current study offers a qualitative, exploratory and comparative approach addressing Brazilian and Portuguese guests. The results rely on 18 in-depth interviews with ten Brazilian and eight Portuguese guests. The content analysis was carried out based on theme categorization defined before data collection. As far as the similarities between the guests from both countries is concerned, the expectations of sharing cultural experiences and establishing social bonds, as well as the need to trust the host indicated the motivation to travel using the platform - this included both parties, the Portuguese and the Brazilians alike. Conversely, only the Brazilians indicated the motivation of use as means of reducing travel costs and meeting utilitarian needs such as sleeping. The study contributes to the sharing economy literature as it identifies that the Degree of Identification amongst the Peers, Perceived Risks, and Value Co-creation Perception are also elements that motivate sharing tourism.