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This study aims to explore the underlying mechanism of human–pet interaction in pet tourism affecting tourism experiences and daily lives of tourists. The research investigates the moderating role of pet attachment in this mechanism as well.

Based on the social exchange theory and value co-creation theory, this research develops and empirically tests a theoretical framework of human–pet interaction. Data were collected through an online survey of US tourists who have pet travel experiences. The data were analyzed by partial least squares structural equation modeling.

The results show that emotional value partially mediated the relationship between human–pet interaction and travel intention/quality of life, while social value partially mediated the relationship between human–pet interaction and quality of life. The findings of multi-group analysis suggest that the travel experience of tourists with low (vs high) levels of pet attachment is strengthened by human–pet interaction, leading to favorable outcomes.

This study enriches the empirical evidence on pet tourism experience. This study extends the existing literature by demonstrating the heterogeneity of the relationship between human–pet interaction, co-creation value, quality of life and travel intention of tourists with different pet attachment levels.

本研究旨在探索宠物旅游中人与宠物互动影响游客旅游体验和日常生活的潜在机制。本研究还考察了宠物依恋在这一机制中的调节作用。

基于社会交换理论和价值共创理论, 本研究开发并实证检验了人-宠物互动的理论框架。通过对有宠物旅游经历的美国游客进行在线调查收集数据。采用偏最小二乘法-结构方程模型(PLS-SEM)对数据进行分析。

情感价值部分中介了人宠互动与旅游意向/生活质量的关系, 社交价值部分中介了人宠互动与生活质量的关系。多群组分析的结果表明, 低(vs .高)宠物依恋水平的游客的旅游体验因人-宠物互动而得到加强, 从而导致良好的结果。

本研究丰富了宠物旅游体验的实证证据。本研究通过论证具有不同宠物依恋水平游客的人-宠互动、共创价值、生活质量和旅游意向之间关系的异质性, 拓展了现有文献。

El objetivo de este estudio es explorar el mecanismo subyacente de la interacción humano-mascota en el turismo con mascotas que afecta a las experiencias turísticas y a la vida cotidiana de los turistas. El estudio también examina el papel moderador del apego a las mascotas en este mecanismo.

Basada en la teoría del intercambio social y la teoría de la cocreación de valor, esta Investigación desarrolla y prueba empíricamente un marco teórico de la interacción entre humanos y mascotas. Los datos se recopilaron a través de una encuesta en línea a turistas estadounidenses que han tenido experiencias de viaje con mascotas. Los datos fueron analizados mediante un modelo de ecuaciones estructurales basado en mínimos cuadrados parciales (PLS-SEM).

Los resultados muestran que el valor emocional medió parcialmente la relación entre la interacción humano-mascota y la intención de viajar/calidad de vida, mientras que el valor social medió parcialmente la relación entre la interacción humano-mascota y la calidad de vida. Los resultados del análisis multigrupo sugieren que la experiencia de viaje de los turistas con niveles bajos (vs altos) de apego a las mascotas se ve reforzada por la interacción humano-mascota, lo que conduce a resultados favorables.

Este estudio enriquece la evidencia empírica sobre la experiencia del turismo con mascotas. Este estudio amplía la literatura existente al demostrar la heterogeneidad de la relación entre la interacción humano-mascota, el valor de cocreación, la calidad de vida y la intención de viaje de turistas con diferentes niveles de apego a las mascotas.

As an important emerging topic in recent years, reviews on tourism and hospitality social entrepreneurship (THSE) by theme remain limited. This paper aims to map the current publication trends, reveal the formation path and identify the future research directions of THSE, providing comprehensive and in-depth insight.

This study presents a systematic review of 89 articles on THSE published in the Web of Science, ScienceDirect and EBSCOhost. It follows grounded theory to classify literature and an expert feedback process to ensure validity.

Research on THSE is mainly found in developing countries and regions. Qualitative methods have been the most popular for researchers. This paper classifies THSE research into four main themes: antecedents, processes, effects and challenges.

This review suggests that social enterprise managers should consider the inclusive business model and adopt empowerment, network construction, market approaches and bricolage to mobilize resources. Policymakers should disseminate relevant laws and regulations to provide a flexible and equal environment. Education and capacity building for people should be strengthened to train future social entrepreneurs.

This review provides an integrated process model by clustering articles to update the holistic picture of THSE. This work identifies research gaps that future research should address.

We investigate the joint impacts of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of reviews and attitude toward the product/service reviewed.

We performed three studies to test our research model, presenting participants with scenarios involving product reviews and prior users' helpful and unhelpful votes across experimental settings.

A high helpfulness ratio boosts users’ trust and influences behaviors in both positive and negative reviews. This effect is more pronounced in attribute-based reviews than emotion-based ones. Unlike the ratio effect, helpfulness magnitude significantly impacts only negative attribute-based reviews.

Future research should investigate voting systems in various online contexts, such as Facebook post likes, Twitter microblog thumb-ups and up-votes for article comments on platforms like The New York Times.

Our findings have significant implications for voting system-providers implementing information techniques on third-party review platforms, participatory sites emphasizing user-generated content and online retailers prioritizing product awareness and reputation.

This study addresses an identified need; that is, the helpfulness votes as an additional trust cue and the joint effects of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of customers in reviews and their consequential attitude toward the product/service reviewed.

As a strand in industrialization movement in architecture, engineering and construction (AEC) industry, prefabricated construction (PC) has gained widespread popularity due to high efficiency, energy saving, low environmental impacts, safety and other advantages of PC. Well-managed supply chain can further leverage the advantages of PC. However, there is a lack of more systematically overview of the prefabricated construction supply chain (PCSC). This paper aims to comb the current status and look into the future direction of PCSC by reviewing the existing research.

In total, 131 articles related to prefabricated construction supply chain management (PCSCM) from 2000 to 2022 have been collated to (1) conduct a bibliometric analysis by using VOSviewer, including the literature sources, keywords co-occurrence, co-authorships, authorship citation and country active in the field of PCSCM; (2) classify and summarize the status of research in PCSCM through qualitative discussion and (3) point out the future research directions.

In total, 131 articles are carried out for bibliometric analysis and in-depth qualitative discussion, the visualization maps and the main research themes in the field of PCSCM are obtained. The results show that supply chain intelligentization and informatization are hot topics. Finally, future research directions that should be paid attention to in the field of PCSCM are pointed out.

This study can help project managers understand the current status and problems of PCSC operations and provide a basis for future management decisions.

Compared with previous studies, this study adds the dimension of “article authorship” to the quantitative analysis and discusses the research themes in the field of PCSCM in a comprehensive manner. In addition, this paper deeply discusses the main research topics from both the specific contents and research methods adopted.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

Despite the growing popularity of online secondhand platforms globally, there is a lack of studies exploring how consumers worldwide perceive contamination and the use of secondhand goods differently according to the culture. Based on the consumer contamination theory, this study aims to investigate the cultural differences of South Koreans and Americans by examining three variables (e.g. transaction type, ownership duration and physical attractiveness) related to consumers' perception of contamination and purchase intentions for a secondhand apparel item.

Data were collected from 422 US and South Korean female consumers who were assigned to an experimental scenario, and their secondhand purchase intentions and perceived contamination were compared through independent t-tests and moderated regression analyses.

Consumers' purchase intentions increased, and perceived contamination decreased when the transaction type was business-to-consumer (vs consumer-to-consumer), when the item had been owned for a shorter period of time and when the item was sold by an attractive seller. Such effect was more pronounced for South Korean consumers than the US consumers in the negative contamination contexts (i.e. transaction type, ownership duration), but not in the positive contamination context (i.e. attractiveness).

The findings of the study add to the literature on consumer contamination theory through an examination of several negative and positive contamination factors in retail contexts and highlight the role of culture as a critical moderator.

The incentive cost of enterprises increases significantly with the rapid growth of the social commerce (SC) market. In this context, enterprises need to develop the optimal strategy to improve incentive effectiveness and reduce cost. Different types of consumers’ responses to incentives bring different values to enterprises. Hence, this paper proposes the social commerce value network (SCVN) to help enterprises study the contributions of different types of consumers to the network.

Based on the graphical evaluation and review technique (GERT), the authors construct the social commerce value GERT (i.e. SCV-GERT) network and design three progressive experiments for estimating the value contributions of “network stage”, “consumer type”, and “resource type” to the SCVN under the same incentives. The authors initialize the SCV-GERT model with consumer data in SC and distinguish the most valuable consumers by adjusting the incentive parameters.

The results show that the SCV-GERT model can well describe the value flow of SCVN. The incentive on forwarding consumers brings the greatest value gain to the SCVN, and social trust contributes the most to forwarding consumers.

Under the guidance of the results, platforms and enterprises in SC can select the optimal type of consumers who bring the maximum network value so as to improve the effectiveness of incentive strategy and reduce marketing costs. A four-level incentive system should be established according to the ranking of the corresponding value gains: forwarding consumers > agent consumers > commenting consumers > potential consumers. Enterprises also need to find ways to improve the social resource investments of consumers participating in SC.

This paper investigates the incentive problem in SC grounded in the SCVN and uses the GERT method to construct the SCV-GERT model, which is the first attempt to introduce GERT into the SC context. This study also makes up for the lack of comparative research on different types of consumers in SC and can provide support for enterprises’ customer relationship management and marketing decisions.

Applying resource dependence theory (RDT), this research paper aims to examine the effect of imbalanced trade dependence (ITD) on entry mode choices and how state ownership and marketization each can moderate this effect.

Using data on 1,404 foreign projects made by 493 Chinese listed firms during the 2009–2015 period of time, this study applies logit regression to do the statistical analysis.

It finds that ITD positively affects the choice of wholly-owned subsidiaries. State ownership and marketization each can moderate this influence.

It develops the concept of ITD, applies it to examine entry mode choices and lets us better understand the substitutive or complementary relationship between governments and foreign firms as two sources of resources. It helps us better understand some competitive advantages of emerging market firms (EMFs) and the impacts of the state on EMFs’ outward FDI. It contributes to entry mode research by applying RDT to explain how ITD influences entry mode choices and how state ownership and marketization each can moderate this relationship.

With the rapid development of web-based ideation platforms, firms are increasingly reaching outside their boundaries to obtain ideas, which makes idea evaluation tricky and ineffective. Numerous studies have investigated the antecedents of idea quality, but few have focused on the fragmented and contradictory conclusions these studies have drawn. Thus, the purpose of this paper is to disentangle conflicting findings regarding factors affecting idea quality.

A total of 41 independent samples from 40 articles published between 2009 and 2020 were retrieved and encoded to conduct a meta-analysis. By using Comprehensive Meta-analysis 3.0 (CMA 3.0) software, the relationship between identified influencing factors and idea quality, and the moderating effects of potential variables were investigated.

Factors affecting idea quality were summarized and divided into three categories: idea-related factors, ideator-related factors and platform-related factors. The results indicated that all proposed factors (idea length, supporting evidence, past success, past submissions, past comments, votes received and comments received) had significant positive effects on idea quality. Moreover, the measurement of idea quality and idea type was the causative factor for the inconsistent findings, whereas the moderating effect of platform type was not significant.

This study systematically synthesized the existing research on the factors influencing idea quality and helped to reconcile the mixed results. The findings serve to enrich current knowledge of idea evaluation in the online context, which could have important implications for both scholars and practitioners.

The need for infrastructure is growing as urbanization picks up speed, and the infrastructure REITs financing model has been crucial in reviving the vast infrastructure stock, alleviating the pressure on government funds and diversifying investment entities. This study aims to propose a framework to better assess the risks of infrastructure REITs, which can serve for the researchers and the policy makers to propose risk mitigation strategies and policy recommendations more purposively to facilitate successful implementation and long-term development of infrastructure REITs.

The infrastructure REITs risk evaluation index system is established through literature review and factor analysis, and the optimal comprehensive weight of the index is calculated using the combination weight. Then, a risk evaluation cloud model of infrastructure REITs is constructed, and experts quantify the qualitative language of infrastructure REITs risks. This paper verifies the feasibility and effectiveness of the model by taking a basic REITs project in China as an example. This paper takes infrastructure REITs project in China as an example, to verify the feasibility and effectiveness of the cloud evaluation method.

The research outcome shows that infrastructure REITs risks manifest in the risk of policy and legal, underlying asset, market, operational and credit. The main influencing factors in terms of their weights are tax policy risk, operation and management risk, liquidity risk, termination risk and default risk. The financing project is at a higher risk, and the probability of risk is 64.2%.

This research contributes to the existing body of knowledge by supplementing a set of scientific and practical risk evaluation methods to assess the potential risks of infrastructure REITs project, which contributes the infrastructure financing risk management system. Identify key risk factors for infrastructure REITs with underlying assets, which contributes to infrastructure REITs project management. This research can help relevant stakeholders to control risks throughout the infrastructure investment and financing life cycle, provide them with reference for investment and financing decision-making and promote more sustainable and healthy development of infrastructure REITs in developing countries.