Introduction In order to solve the information asymmetry and make full use of resources (unused goods, spare capacity and so on), the sharing economy, which based on the application of mobile internet technology and focused on the consumption of the right to use, is developing rapidly. Lack of trust is considered to be one of the important problems hindering the development of sharing economy. Möhlmann (2015) said that trust is a fundamental determinant of sharing economy development and ensuring shared satisfaction. At present, sharing economy enterprises have established product evaluation system and docked a third party credit rating system (i.e. Zhima Credit) to promote consumers’ trust. However, with most enterprises are becoming more and more consistent in evaluation and credit rating system, there is a new problem emerged: how to further deepen consumers’ trust in order to promote consumers’ intention to participate continuously (Zucker, 1986; Lewis & Weigert, 1985). Granovetter (1985) mentioned that trust is the product of social relationships. Botsman and Rogers (2011) made it clear that social networks play an important role in building trust in sharing economy. And people are always more willing to accept the opinions of people who have social relations with them (Lu, Zhao, & Wang, 2010). Hence, with the feature of participant of everyone in sharing economy, it is necessary to further strengthen consumers’ trust through the social interaction among consumers and between consumers and sharing platforms. Theoretical Development Sharing economy is based on LBS and other new technologies to realize the matching of supply and demand information across time and space. And to a certain extent, it solves the problem of information asymmetry in the era of e-commerce. Yet consumer have new requirements for product information. For example, consumers are more concerned about whether the utility of products and services can meet their needs (i.e. some consumers are more concerned about when to reach their destination than the performance of the car). But it is difficult for company to understand each everyone of consumers’ utility preference and publish product utility information based on these preferences (Xie & Gerstner, 2007). Because this kind of utility preference has the characteristic of timeliness and personalization. Therefore, consumers’ perceived uncertainty about the utility of the product will also affect the consumers’ trust. In summary, we then address these research questions:(1) can the promotion of trust between consumers and sharing platforms be achieved through the socializing of sharing platforms and then affect consumers’ intention to participate continuously; (2) if so, which type of privacy protection method and social information can promote consumer trust; and (3) does the impact of sharing platform socialization on consumer trust vary according to consumers’ concerns about the perceived utility uncertainty of the product. Research Design We then address these issues using experiment data. The first experiment was a 2 (social media: have, not have) x 2 (individual trust propensity: trust, not trust) between-subject design on the intention to trust sharing platform and participant continuously. Perceived utility uncertainty was added to this design as a moderator. Moreover, the second experiment was a 2 (social information type: hedonic, utilitarian) x 2 (degree of privacy protection: week, strong) between-subject design on the intention to trust sharing platform. Our scales come from existing scales and optimize it according to the characteristics of sharing economy (Schneider, 1999; Dhar & Wertenbroch, 2000; McKnight, Choudhury, & Kacmar, 2002). Results and Conclusion The results of the first experiment show that whether or not the social platform has no significant impact on the consumer trust if the individual tends to trust others. And for individuals who tends to do not trust others, they are more likely to trust socialized sharing platforms. The higher the consumer perceived utility uncertainty is, the higher (lower) trust of the consumer platform in the socialized (not socialized) sharing platform. For the second experiment results, in the context of sharing economy, the utilitarian information has a greater positive impact on the consumer trust than the hedonic information. In addition, the stronger the privacy protection of sharing platforms, the higher the trust of consumes. This study makes several academic contributions. First, we extend the topic of socialization to sharing economy context. Second, we add the perceived utility uncertainty as a moderator, and supplement the role of perceived uncertainty. This research also provides several practical implications. First, sharing platform can promote their consumers’ trust by establishing their own social platform. This platform can be used as a differentiated competitive strategy for sharing platform. Second, sharing platform should guide consumers to share utilitarian information (i.e. weather for specific place or real time traffic) to improve consumer satisfaction. Third, sharing platform can access consumer preference information through this social platform for further product development and classification.

Due to the explosive growth of peer-to-peer transportation sharing services offered by micro-entrepreneurial travelers, investigating how their quality cues affect demand is of paramount importance. The goal of this study was to identify what types of intrinsic and extrinsic quality cues affect the demand of peer-to-peer transportation sharing services. Based on the rich data set of 414,292 transactions from a leading peer-to-peer ridesharing platform, it was identified that intrinsic quality cues – car status and driver status – and extrinsic quality cues – price and offering duration – significantly affect the peer-to-peer transportation demand independently and interactively. Although the lower price and longer offering duration of a transportation sharing service positively affect its demand, the higher price or shorter offering duration can increase its sales when combined with better intrinsic cues. Implications for vulnerable segments such as female and minority drivers are provided

Previous research has found that taking photos during travel for the purpose of sharing with others via SNS (social networking sites) induces self-presentational concerns, which can decrease engagement and enjoyment of the experience. However, the previous studies have defined travel engagement and enjoyment too narrowly and failed to consider the heterogeneity in terms of the importance of photo-taking. While some travelers are reluctant photo takers and regard taking photos as a bother, others place more importance on photo-taking than sightseeing, and may therefore find it difficult to enjoy the travel experience without taking photos. To address these deficiencies, we modeled not only negative, but also positive relationships between photo-taking and travel engagement and enjoyment. The results showed that when taking photos, travelers who regard photo-taking as important were more engaged in the experience and enjoyed it more than travelers who regarded photo-taking as less important. Thus, this study provides a theoretical contribution to research on travel engagement.

For better understanding user behavior, especially exploring what factors would motivate user engagement in sharing economy and whether there are some differences between people behaviors in sharing economy and conventional economy, this research developed a conceptual framework of user engagement (UE) in sharing economy on the basis of customer engagement and related literature and tested it through empirical analysis.

Marketing in the sharing economy The shift on the enhanced complexity of customers‟ needs has created a new business model termed as the sharing economy emerging through the traditional B2B2C sector, and substituted with micro-entrepreneurs who act as service providers (Kumar, Lahiri, and Dogan, n.d.). The importance of the sharing economy is based on the fact that in a short period of time it has managed to disrupt well-established fields (i.e.: taxi and accommodation industry), through the provision of low-cost convenience without the ownership responsibility (Eckhardt & Bardhi, 2015). In general, the sharing economy service providers are not responsible for marketing and promotional aspects since this is an aspect taken care of the service enablers (i.e.: Airbnb). In the sharing economy, marketing needs to focus on the development of early adopters, meaning younger generations (Laciana & Rovere, 2011), since they are the largest generational cohort, and are expected to remain the largest one for the forthcoming decades (Fry, 2016), whilst they have a considerably lower spending capacity than older people (Henderson, 2016). Therefore, younger generations select cost-efficient options and engage in utility-based brand switching (Kumar et al., n.d.). As a result, sharing economy marketing strategies mainly focus on apps or websites where their existing customers may visit (McAlone, 2016). Moreover, multigenerational marketing is considered as a rational segmentation strategy for service enablers (Eckhardt & Bardhi, 2015), since the older a generation is the lower the general adoption rates in sharing economy marketing (Hall & Krueger, 2015). Still, the complex decision-making of consumers in sharing economy‟s marketing is affected by several factors such as price and quality issues and the associated risks (Pappas, 2017). Despite the importance of sharing economy in modern business, the literature is silent on the complexity of aspects affecting the related marketing activities. The paper examines the complexity of marketing activities formulation examining peer-to-peer (P2P) accommodation holidaymakers in Athens, Greece. It specifically evaluates the impact of risks, price and quality issues, and social aspects, on P2P accommodation marketing activities, also including the socio-demographics of age and income. The research contribution is in both, theoretical and methodological domains. In terms of literature the study provides an understanding of the complexity formulation of marketing activities, with special reference to the sharing economy. Methodologically-wise, the research implements fuzzy-set Qualitative Comparative Analysis (fsQCA), which is considered new to the study of tourism and hospitality (Pappas & Papatheodorou, 2017). It further compares fsQCA suitability with regression, which is the dominant correlational mode of analysis. Study tenets In service industry research the term „tenet‟ is used to describe testable precepts able to identify complex conditions (Papatheodorou & Pappas, 2017). This study has formulated six tenets: (T1) The same attribute has the ability to determine a different decision for marketing activities depending on its configuration with other attributes (T2) A complex configuration with at least two simple conditions can leads to an outcome condition that can have a consistently high score (Recipe principle) (T3) Complex configurations can influence the marketing activities for P2P holidaymakers (T4) When the combinations differ on the simple conditions of configurations, they can influence in a positive or negative manner the marketing activities for P2P holidaymakers (T5) Sufficient marketing activities do not always result in a high outcome score (Equifinality principle), and (T6) When the Y scores are high, a given recipe for the marketing activities is not relevant for all cases. Complexity in tourism Complexity theory focuses on complex systems with nonlinear dynamics, characterised by self-organisation, emergence, and evolution (Arévalo & Espinosa, 2015). The theory is used to evaluate the nonparametric, and dynamic processes of complex phenomena in several different disciplines (Olya & Al-ansi, 2018). Tourism complexity is based on several conflicting elements, such as the translocal relationships and multilocality, the heterogeneity of actors, the places and governance globalisation, and the extreme diversity of operations (Darbellay & Stock, 2012). Moreover, tourism deals with complex policies involving multiple actors, and a perpetually changing multi-level coordination in a local, national and international level (Lai, Hsu, and Wearing 2016). The degree of behavioural complexity renders Newtonian (linear) thinking inadequate and highlights the necessity for nonparametric (nonlinear) research (Laws & Prideaux, 2005). Method The study was held in Athens, Greece in adult P2P accommodation holidaymakers. Following the study of Pappas (2017), structured questionnaires were distributed to the P2P rentals, asking from the holidaymakers to fill them in during their stay. As Akis, Peristianis and Warner (1996) suggest, the study‟s sample size should have a minimum of 95 percent level of confidence and a maximum of 5 percent statistical error, whilst the most conservative response of 50/50 (meaning half of the respondents would express positive views and the other half negative ones) was adopted. For N>20, t-table defines cumulative probability (Z) in 1.96 level. Following Akis et al. (1996), the sample size calculation is: Rounded to 400 In total, 712 useful responses were collected, generating a statistical error of 3.67 per cent. The questionnaire consists of 24 Likert scale statements adopted from previous research, including two socio-demographic questions (age; income). The study employed fsQCA for the evaluation of complex configurations. fsQCA is considered a mixed method since it employs quantitative testing and qualitative inductive reasoning, and it is able to examine the potential complex relationships that have a bearing upon the outcome of interest, and identifies combinations of binary sets generated from its predictors. Since the research also estimated negated sets (presence or absence of a simple condition), the symbol “~” was used for the indication of an attributional absence. Research calibration was made by using 42 randomly selected individual cases. For the evaluation of the marketing activities „f_ma‟ affecting holidaymakers, the calibrated fuzzy-sets used were „f_a‟ for age, „f_i‟ for income, „f_r‟ for risks, „f_sa‟ for social aspects, „f_pi‟ for price issues, and „f_qi‟ for quality issues. Results Three sufficient configurations emerged from the research. More specifically, the first solution (f_a*f_i*~f_r*~f_sa*f_pi*f_qi) concerns the price-quality nexus, the second configuration (f_a*~f_i*f_r*~f_sa*f_pi*~f_qi) deals with price sensitivity, and the third one (f_a*~f_i*f_r*f_sa*~f_pi*f_qi) focuses on social interaction. The generated solutions for marketing activities are presented in the table below. The results indicate that all four simple conditions appear in at least one solution (T1), whilst at least two simple conditions are included in each sufficient configuration (T2). Moreover, the findings suggest that the solutions focus on: (i) price-quality nexus (ii) price sensitivity, and (iii) social interaction (T3). In addition, none of the simple conditions appears in all configurations (T4), and three different solutions seem to lead to the same outcome (T5). Finally, the coverage varies from .429 to .453, meaning that none of the solutions applies in all cases (T6). As a result, the findings confirm the six tenets of the study. fsQCA versus regression The study used a structural equation model for the examination of linear relationships, and implemented Confirmatory Factor Analysis (CFA), since the sum of the examined items is based on previous analytic research. Due to the large sample (N=712) χ2/df instead of χ2 was selected, since it is considered as a better estimate of goodness (Chen & Chai, 2007). Following Kline (2010), the research estimated the four most important fit indices: χ2=634.921, df=352, χ2/df=1.803 (acceptable value 0≤χ2/df≤2 [Schermelleh-Engel, Moosbrugger & Müller, 2003]), CFI=.902 (acceptable value is when CFI is close to 1.0 [Weston and Gore 2006]), SRMR=.782 (acceptable value is when SRMR<.8 [Hu & Bentler, 1999]), and RMSEA=.475 (acceptable value is when RMSEA<.5 [Browne & Cudeck, 1993]). In factor analysis, all values less than .4 were suppressed (minimum acceptable value .4 [Norman & Streiner, 2008]) in an effort to evaluate higher coefficients. In all constructs, the Average Variance Explained (AVE) was higher than .5 (minimum acceptable .5 [Kim, 2014]), and the convergent validity (CR) higher than .7 (minimum acceptable value: .7 [Huang, Wang, Wu, & Wang, 2013]). The Figure below explains the study‟s endogenous variables. The comparison of fsQCA with regression highlights that the latter cannot encapsulate the full range of alternative combinations, in restricts the presence/absence of a construct or socio-demographic in one outcome, whilst the row coverage in all sufficient configurations (also showcasing high consistency) is higher than the overall R2 (.393). As a result, fsQCA seems to be more efficient than regression concerning the examination of marketing activities on P2P holidaymakers, since it better presents the influence of the constructs under examination. Managerial implications The study offers a number of managerial implications. For starters, through the use of fsQCA, traditional accommodation providers and destinations can better understand complexity aspects of consumer trends, being able to sufficiently reposition their marketing activities. Moreover, fsQCA can assist on the clarification of the factors affecting marketing complexity in tourism and hospitality, and better promote and advertise the products and services in reference. The understanding of complex marketing patterns, can further lead to the formulation of competitive advantages and strengthen the competitiveness of the enterprises engaged in a destination, as well as the destination itself. In addition, destinations can better comprehend the complex evolution of sharing economy and build upon its strengths, aving the opportunity to formulate a cooperative market towards traditional establishments and P2P rentals. Limitations Despite the theoretical and methodological contribution of the study, several limitations need to be highlighted. The main limitation derives from the study‟s main strength, which is the limited application of fsQCA in tourism and hospitality. Much further use of fsQCA in the field could reveal its full potential. Another limitation deals with the examination of other groups, such as the holidaymakers selecting traditional establishments for their stay, P2P stakeholders, and destination authorities. Since different groups of respondents may produce different outcomes, any generalisation of the findings should be made with caution. Finally, if the research is repeated in some other destination or in later time, the focus of the generated complex configurations may alter. Therefore, the results should be carefully interpreted.

Using the framework of social support, we aim to examine factors influencing social Word-of-Mouth (WOM) adoption. The proposed research model will be tested among customers who are active in the existing active social media platforms and have had experience in engaging with the activities of luxury brand communications. Introduction Today the most promising communication environment for reaching and interacting with stakeholders is the social media ecosystem (Hanna, Rohm and Crittenden, 2011). The social media has grown so rapidly in the past years that now impact the business processes and models (Henning-Thurau, Hofacker and Bloching, 2103). Many Brands begin to take advantage of the fluidity between social media and WOM for creating brand experiences that merge real and digital conversations, cutting through in incredibly powerful ways. However, the recent research (Godey, Manthiou, Pederzopli, Rokka, Aiello, Donvito and Sigh, 2016) suggest that luxury brands performing well in social media engagement. However, they are often lagged behind in WOM performance. Despite growing interest in examining the influence of social media marketing on consumer’s responses through brand equity creation (Godey et al., 2016; Jim and Ko, 2012), studies about social media in luxury brand communications remain to be scarce. An investigation of customer’s motivation behind participation in social media is timely and relevant which can help luxury brands unleash its potential. Moreover, development of an effective social WOM adoption model can help to provide a better picture of consumer interactions in online luxury brands communities, thus strengthen customerfirm relationship in longer term. Specifically, this research intends to answer the following two questions: 1) What are the major determinants of social WOM adoption in luxury brands communications? 2) Whether social support affects a. perceived source credibility; b. perceived information quality; c. user experience? Literature review Social media interactivity The concepts of social exchange (Blau, 1964) and the norm of reciprocity (Gouldner, 1960) have long been used by Marketing researchers to describe the motivational basis behind customer behaviours and the formation of positive relational attitudes (e.g., Wulf; Gaby; Iacobucci, Dawn, 2001; Rafiq; Fulford and Lu 2013). More recently these concepts have been used to explain why customers enjoy interacting with each other in social media (Liang, Ho, Li and Turban 2012; Godey et al., 2016). Social media interactivity is social interaction of people in social networking sites by Web 2.0 technologies such as Facebook, Instagram (Hajli, 2016). For instance, Facebook has more than two billion monthly active users which is a great example of a platform. In fact, people love to interact with each other. When they favourite and like each other’s posts that would reinforce the closeness. Online social support Recent research has found that social interaction can bring social value to their users and that the social media is a powerful vehicle for an individual to build close relationships with others and to enhance the individual’s well-being (Liang et al., 2012; Eastin and LaRose, 2005; Obst and Stafurik, 2010; Shaw and Grant, 2002; Xie, 2008). Social support has been found to be a major social value that social media users can obtain from an online interactions (Eastin and LaRose, 2005; Obst and Stafurik, 2010; Huang, Nambisan and Uzuner, 2010). Social support is a multidimensional construct which refers to an individual’s experience of being cared for, being responded to, and being helped by people in that individuals’ social network (Cobb, 1976). Schaefer, Liang et al.(2012) claim that , online social support consists both tangible (e.g. instrumental and appraisal support) and intangible elements (e.g. informational and emotional support). Given the specific context, this study mainly focuses on the latter. Informational support refers to providing messages, in the form of recommendations, advice, or knowledge that could be helpful for solving problems. By contrast, emotional support refers to providing messages that involve emotional concerns such as caring, understanding or empathy. These two types of messages are the major support mechanisms for social interactions (Hajli, 2016). Antecedents of social WOM adoption Information adoption can be defined as the process of engaging purposefully in consuming information (Cheng and Thadani, 2012). Informational support provided through social interaction of individuals in social media can be in the form of ratings, review, recommendations or referrals. Therefore, when consumers search for information provided by other users to make a better decision for their purchasing, they are adopting information. From a marketer’s perspective, this process also helps to build long-term advocacy. This research argues that social media provides more opportunities to the individual to adopt WOM. The existing literature has identified several antecedents of social WOM adoption and most of these studies focused on travelling websites (Filieri; Alguezaui and McLeay,2015; Hajli, 2016). Beldad, De Jong, Steehouder (2010) have categorized the major antecedents of social WOM adoption in the literature into three categories namely customer-based antecedents (e.g. user’s experience during the social interactions); website based antecedents (e.g. perceived information quality) and company based antecedents(e.g. perceived source of credibility). Source of credibility is considered as fundamental predictors of consumers’ acceptance of a message in traditional WOM adoption (McGinnies and Ward, 1980). To facilitate the evaluation of credibility of a source, more and more social platforms require contributors to create a web profile upon their registration. Customers need to provide personal information (e.g. profile picture, personal preference). Furthermore, many social media website utilise reviewer reputation systems to enable customers to assess the credibility of reviewers. Zhang and Watt (2008) argue that the higher source credibility of message perceived in online social media, the higher level of information adoption would be. Moreover, the quality of information in online reviews is perceived as a very important cue for consumers to assess the website (Filierri, et al., 2015). Krishnan; Biswas and Netemeyer (2006) point out that concrete information provided by the website such as detailed features of the product/service is likely to be perceived as more credible than those from abstract information like peripheral description of the product/service. Finally, in marketing literature user experience is strongly related with trust (Yoon, 2002). In an online context customers’ negative experience is likely to affect their trust about the company. As a consequence, they are likely to engage in negative WOM. Research shows that user experience has a strong impact on the social WOM adoption (Liang et al., 2012). Method Structural Equation Modeling (SEM) will be employed for examining the research objectives of this research. The questionnaire for this study will be created through a professional online-based survey tool. As this research focuses on the factors influencing social WOM adoption in relation with luxury brands communications, the proposed research model will be tested among customers who is active in the existing active social media platforms and has had experience in engaging with the activities of luxury brand communications such as posting review or comment other’s post). Result and conclusion This research has adopted the electronic WOM theory and the social media support theory along with a social media perspective to investigate how customer’s interaction in social media affects their behaviour in relation to luxury brands consumption. The results show that social WOM facilitates the evaluation by customers about the luxury products using social media. Moreover, WOM has emerged with broad accessibility and the capability to be evaluated and measured easily by other consumers. This study gives practical implications on how to use social media to develop online communities for luxury brands. In conclusion, when going online, luxury brand should consider the importance of converting the online brand strategy into an interactive and engaging experience for their users and online communities.

This study empirically examines the effects of two distinct types of privacy-related concerns (organizational threats and social threats) on different aspects of information disclosure (amount, honesty and conscious control) on social network sites, especially by highlighting the role of trusting beliefs (integrity & honesty, predictability, benevolence, competence), across three markets in which social network usage is substantial (i.e. US, Europe, and East Asia). The study contributes to the literature focused on the paradoxical dichotomy between privacy attitudes and behaviors. In a quantitative modeling framework, we develop a structural model based on our previous conceptual model. We use data collected through snowball convenience sampling technique from a large sample (n=624), Web-based consumer survey from Europe, US and East Asia to measure these constructs, and we fit a series of structural equation models that test related prior theory. Findings suggest that the “Social Sharing” paradox may result from a failure to disentangle between social and organizational concerns, since the authors find no effect of privacy concerns about organizational threats on overall disclosure (amount and honesty of information) but find high conscious control of information disclosed for higher concerns towards social threats. Trusting beliefs differently influence information disclosure in the three main geographical areas and were found to moderate the effect of social concerns on the amount of information disclosed and conscious control. Further the cross-country analysis results suggest that cultural values may affect how concerns about privacy and trusting beliefs, impact self-disclosure. For practice, our research suggests actionable strategies to aid online marketers in matching information requests with the needs and concerns of consumers by providing greater control and customization and enhancing firm trust.

The dual processes of cognition and affect impact consumers’ choice of sharing economy-based experiential tourism. Prior knowledge of sharing economy technologies and favourable attitude toward sharing economy impact consumers’ intention to adopt a peer-to-peer experiential tourist service. Data from 150 respondents and OLS and OLogit analyses supported the hypothesis.

Ever since the notion of a sharing economy was highlighted by Time Magazine as one of the ten ideas that will one day change the world, there has been a significant increase in scholarly attention dedicated to investigating the impact sharing economies will have on individuals, organizations and society as a whole. Particularly, sharing economy has revolutionized the landscape of the tourism industry through Airbnb (Fang, Ye, & Law, 2016). Academic research has focused on studying consumption practices and behaviors from a recipient perspective, but relatively little attention has been given to understand what impacts sharing economy has, from a sharer point of view (Fagerstrøm, Pawar, Sigurdsson, Foxall, & Yani-de-Soriano, 2017). Specifically, the existing literature has yet to explore in what ways and to what extent sharers are engaged with sharing economy platforms, and explore what consequences accrue from engaging in sharing economy activities. As a result, this paper seeks to fill this gap by proposing a framework drawing on self-determination theory (SDT), in conjunction with a tourism well-being perspective to examine how sharers’ perception of extrinsic rewards indirectly influences their well-being through the mediating role of engagement in tourism sharing economy activities. Data from Airbnb hosts in London were analyzed through PLS. The findings show that hosts’ engagement with Airbnb fully mediates the relationship between extrinsic rewards and their wellbeing. In other words, extrinsic rewards from using the sharing platform have a positive effect on sharers’ engagement in sharing economy activities (Tussyadiah & Pesonen, 2016; Guttentag, 2015). In turn, engagement in sharing economy activities has been found to have a positive effect on the sharers’ well-being (Kim, Uysal, & Sirgy, 2013; Ganju, Pavlou, & Banker, 2016). The paper has some important managerial implications.

Introduction In order to solve the information asymmetry and make full use of resources (unused goods, spare capacity and so on), the sharing economy, which based on the application of mobile internet technology and focused on the consumption of the right to use, is developing rapidly. Lack of trust is considered to be one of the important problems hindering the development of sharing economy. Möhlmann (2015) said that trust is a fundamental determinant of sharing economy development and ensuring shared satisfaction. At present, sharing economy enterprises have established product evaluation system and docked a third party credit rating system (i.e. Zhima Credit) to promote consumers’ trust. However, with most enterprises are becoming more and more consistent in evaluation and credit rating system, there is a new problem emerged: how to further deepen consumers’ trust in order to promote consumers’ intention to participate continuously (Zucker, 1986; Lewis & Weigert, 1985). Granovetter (1985) mentioned that trust is the product of social relationships. Botsman and Rogers (2011) made it clear that social networks play an important role in building trust in sharing economy. And people are always more willing to accept the opinions of people who have social relations with them (Lu, Zhao, & Wang, 2010). Hence, with the feature of participant of everyone in sharing economy, it is necessary to further strengthen consumers’ trust through the social interaction among consumers and between consumers and sharing platforms. Theoretical Development Sharing economy is based on LBS and other new technologies to realize the matching of supply and demand information across time and space. And to a certain extent, it solves the problem of information asymmetry in the era of e-commerce. Yet consumer have new requirements for product information. For example, consumers are more concerned about whether the utility of products and services can meet their needs (i.e. some consumers are more concerned about when to reach their destination than the performance of the car). But it is difficult for company to understand each everyone of consumers’ utility preference and publish product utility information based on these preferences (Xie & Gerstner, 2007). Because this kind of utility preference has the characteristic of timeliness and personalization. Therefore, consumers’ perceived uncertainty about the utility of the product will also affect the consumers’ trust. In summary, we then address these research questions:(1) can the promotion of trust between consumers and sharing platforms be achieved through the socializing of sharing platforms and then affect consumers’ intention to participate continuously; (2) if so, which type of privacy protection method and social information can promote consumer trust; and (3) does the impact of sharing platform socialization on consumer trust vary according to consumers’ concerns about the perceived utility uncertainty of the product. Research Design We then address these issues using experiment data. The first experiment was a 2 (social media: have, not have) x 2 (individual trust propensity: trust, not trust) between-subject design on the intention to trust sharing platform and participant continuously. Perceived utility uncertainty was added to this design as a moderator. Moreover, the second experiment was a 2 (social information type: hedonic, utilitarian) x 2 (degree of privacy protection: week, strong) between-subject design on the intention to trust sharing platform. Our scales come from existing scales and optimize it according to the characteristics of sharing economy (Schneider, 1999; Dhar & Wertenbroch, 2000; McKnight, Choudhury, & Kacmar, 2002). Results and Conclusion The results of the first experiment show that whether or not the social platform has no significant impact on the consumer trust if the individual tends to trust others. And for individuals who tends to do not trust others, they are more likely to trust socialized sharing platforms. The higher the consumer perceived utility uncertainty is, the higher (lower) trust of the consumer platform in the socialized (not socialized) sharing platform. For the second experiment results, in the context of sharing economy, the utilitarian information has a greater positive impact on the consumer trust than the hedonic information. In addition, the stronger the privacy protection of sharing platforms, the higher the trust of consumes. This study makes several academic contributions. First, we extend the topic of socialization to sharing economy context. Second, we add the perceived utility uncertainty as a moderator, and supplement the role of perceived uncertainty. This research also provides several practical implications. First, sharing platform can promote their consumers’ trust by establishing their own social platform. This platform can be used as a differentiated competitive strategy for sharing platform. Second, sharing platform should guide consumers to share utilitarian information (i.e. weather for specific place or real time traffic) to improve consumer satisfaction. Third, sharing platform can access consumer preference information through this social platform for further product development and classification.

Car-sharing is one of the most popular cases of a shared economy. It is a sustainable service that enhances mobility by renting shared vehicles to meet user's purpose in short-time. Car-sharing has known that it is effective in reducing ownership of passenger cars, reducing traffic congestion, and improving the environment. In Korea, a variety of car-sharing services have been launched, and since 2012, Korea Land & Housing Corporation (LH) has started to introduce HappyCar service for residents of public rental housing complexes nationwide. Public rental housing complexes have three types of complexes, one of which is complex for the low-income households. The purpose of this study is to find out the factors affecting the use of carsharing for low-income people using Poisson regression analysis with 2017 HappyCar usage data. Data including outliers was filtered and explanatory variables (age, sex, and accessibility of public transportation around rental housing complexes) were selected through correlation analysis. The results of this study are expected to be useful for analysis of carsharing low-income users' behavior, demand forecasting, and the establishment of shared transportation policies in the future.

The government focuses the innovation paradigm of public institutions on the realization of social value through national tasks. Efforts are now being made to legislate the Framework Act on the Realization of Public Institutions’ Social Value, which allows public institutions to serve as the foundation and check the progress of social value realization plans every year. According to this Act, the government performance review must also reflect efforts and outcomes made to create social value. Traditional public institutions in the road sector are trying to convert social responsibility, job creation and related activities into indicators of social value realization. Social value refers to a “value that can contribute to public interests and community development in all areas including social, economic, environmental, and cultural ones.” This definition commonly used in government policy includes the concept of public institutions’ social responsibility and shared value creation. Here, social responsibility refers to the returning of corporate profits to society for the continued development of a community while shared value creation refers to the solving of a social problem by a company pursuing both economic and social value creation. The performance sharing scheme in particular is regarded as an important tool for companies to create social value. In this regard, this study examines how public institutions in the road sector used the performance sharing scheme. The purpose of this study is also to discover more cases based on this analysis. The analysis so far found the following 5 types of performance sharing schemes in the road sector: (a) service improvement, (b) technology development, (c) conditional purchasing, (d) technology transfer, and (e) performance sharing between multiple parties. Notably, technology transfer or performance sharing between multiple parties means that public institutions provide support to the private sector so that it can take the lead and develop required technology. These instances can be good examples of public institutions serving as the foundation and creating social value by removing new technology entry barriers for small and medium-sized enterprises and supporting the development of the latest prioritized technology or product. Accordingly, there needs to be established a cooperative ecosystem between small, medium, and large companies in a win-win approach to increase the adoption rate of SME support projects and provide more technical advice in the road sector and thereby, to expand the cases of shared growth where outcomes are shared in the road sector.

As mobile shopping has increased in the new media age, fashion consumers’ decision making and product consumption processes have changed. The volume of consumer-driven information has expanded since media and social networking sites have enabled consumers to share information they obtain. The purpose of this study was to determine the factors affecting information searching strategies and information sharing about fashion products. An online survey collected data from 466 respondents, relating to the influence of product price level and consumer SNS commitment level on information search and information sharing. Experimental design of three product price level and two consumer SNS commitment level was used. Analysis of the data identified factors in fashion information searching as ongoing searching, prepurchase web portal information search, and prepurchase marketing information search. For low-price fashion products, prepurchase product-detail influenced intention to share information. For mid-priced products, ongoing search significantly affected intention to share information. Both ongoing search and prepurchase marketing information search showed significant effects for high-price products. Consumers who are more committed to SNS engaged in significantly more searching in all aspects of information search factors. Significant interaction effect was detected for consumer SNS commitment level and product price level. When consumers with low consumer SNS commitment search for information on lower-priced fashion products, they are less likely do a prepurchase web portal information search.

세계 작물보호제의 개발 흐름은 화학농약보다 친환경제제에 더욱 집중하고 있다. 이는, 수십 년 동안 행해진 화학농약 의존 농업에 대한 경각심의 우회적 표출이며, 개선하려는 국제적 움직임으로 해석할 수 있다. 친환경제제 중 하나인 곤충페로몬 이용 제품은 화학농약을 대체하거나 감소시킬 수 있는 제제로 국내외적으로 평가받고 있다. 이러한 곤충페로몬을 이용한 친환경 제품이 국내농업에 사용된 지 약 16년이 되었다. 그동안 국내 농업시장에서 통용된 곤충페로몬 이용 제품에는 어떠한 것이 있었고, 시기 및 지역별로 제품 사용의 변화 확인을 통해 다양성을 향한 앞으로의 제품 개발과 활용을 토의하고자 한다. 또한, 곤충페로몬 방출기 관련 연구개발 지식 공유를 통해, 제품 및 기술 개발을 위한 논의를 하고자 한다.

This article study the Letter of Collection(LOC) of U.S. National Cancer Institute(NCI) and the INBio-Merck Agreement as a international cases of the Access to Genetic Resources and Benefit- Sharing. These cases have the matching parts to the provisions of concern international norms. But, these cases not reflected the provisions of international norm because they concluded before 2010. So access to genetic resources and benefit sharing agreement will be concluded in the future must include the following contents. First, the provisions of the provider and the user of genetic resources as a parties of benefit sharing agreement. Second, the provisions of participation of stakeholders. Third, the provisions of prior informed consent. Prior informed consent must provide basic principles, elements, competent national authority granting and information of procedures for obtaining prior informed consent. Fourth, the provisions of mutually agreed terms. Fifth, the incentive measures could be used in the implementation for conservation and sustainable use of biodiversity, to promote accountability of access and benefit sharing, to provide for national monitoring and reporting.

The planetary gearing system is compact and lightweight. The performance of planetary gearing system which uses floating intermediate rings have been found to be very good for practical systems. To apply this system for the reduction of rotation of an engine, in designing stage, the quantitative estimate of the load sharing factors is required for understanding the performance. The method widely used for this purpose is to make use of elastic deformation of components of the structure or to utilize hydrodynamic oil film. This paper shows the way how to analyze the static load sharing factors by using the coefficient ''. This method can be applied for non-linear systems such as oil film bearing. The influences of various factors on '' of oil film spring are also shown. Furthermore, It is established in this study that the use of floating intermediate ring in designing the planetary gearing system has a very high reliability.

본 연구는 팀장의 임파워링 리더십이 팀 지식공유 및 팀 효능감에 미치는 영향과 함께 임파워링 리더십과 팀 효능감 간 관계에 있어 팀 지식공유의 매개효과를 살펴보고자 한다. 가설의 검증을 위해 광주·전남 지역의 17개 조직 79개 팀 229명의 종업원과 그들의 직속상사 79명을 대상으로 설문조사를 실시하였다. 연구 결과, 팀장의 임파워링 리더십은 팀 내 지식공유에 정(+)의 유의한 영향을 주는 것으로 나타났다. 이를 통해 조직 차원에서 팀 내 지식공유 활성화를 위해 임파워링 리더십 개발에 힘써야 함을 시사해 주고 있다. 또한, 팀 지식공유는 팀 효능감에 유의한 정(+)의 영향을 주는 것으로 나타났다. 마지막으로, 팀 내 지식공유는 팀장의 임파워링 리더십과 팀 효능감 간의 관계를 매개하고 있음을 발견하였다. 연구결과는 임파워링 리더십이 팀 효능감에 직접적인 영향을 주지는 않지만 팀 지식공유를 통해 간접적으로 영향을 주고 있음을 시사해 주고 있다. 연구결과를 토대로 연구의 한계 및 향후 연구방향을 제시하였다.

자본주의를 떠받치고 있는 핵심적 기제는 사유(私有, private possession) 이다. 그런데 미래에 예상되는 사회경제적 주요 현상으로 공유(共有, sharing)가 지목되고 있다. 공유가 자본주의 경제체제의 자연스런 귀결이 될 지 아니면 자본주의의 모순을 해결할 대안적 모델인지는 분명치 않다. 중요 한 것은 공유 개념에 대한 분명히 의미 정리와 공유에 대한 냉철하고 비판 적 사고, 그리고 올바른 방향의 모색일 것이다. 이에 불교 특히 관음사상의 주요 상징들이 의미 있는 시사점을 제공한다. 관음 사상은 공유사회에서 재해석하여 되새길 만한 세 가지 주요한 상징 을 내포하고 있다. 자비(慈悲, compassion), 이근원통(耳根圓通), 천수천안 (千手千眼)이 그것이다. 자비가 보여주는 공유에 필요한 핵심적 가치는 바 로 공감이다. 또 원통(圓通)이 보여주는 공유에 필요한 핵심적 가치는 편들 지 않고 가리지 않음이다. 원이 나타내는 ‘골고루’(regular, even)의 상징성 이 이를 나타낸다. 그리고 천(千)은 순서상의 차별성을 극복하고 ‘한꺼번에’ 의 상징을 통해 공유의 이상을 보여주고 있다. 이와 같은 관음사상에 내포된 공유적 관점은 단순히 종교적 이상에 그친 것이 아니라, 역사적 삼계교(三階敎)라는 교단조직을 통해 실제적으로 구현 되기도 했다. 따라서 관음사상에 내포된 공유적 상징성은 현대 공유사회의 방향성을 모색하는데 있어서도 시사점 내지는 시금석이 될 수 있을 것이다. 그리고 이것이 종교가 세상에 참여하고 구원하는 방식이다.

본 연구에서는 글로벌 전략적 제휴를 하는 중국 산동성 소재 대기업을 대상으로 꽌시, 명성, POS(perceived organizational support), PLS(perceived leader support), 해외사업경험, 해외사업조직이 파트너기업과의 지식공유성과에 미치는 영향에 대하여 실증분석을 실시하였다. 제휴파트너와의 꽌시, 명성, POS는 전략적 제휴 파트너 기업과의 지식공유성과에 유의하게 정(＋)의 영향을 주는 것으로 나타났다. 반면 PLS는 예측한 바와 달 리 제휴파트너 기업과의 지식공유성과에 유의한 부(-)의 영향을 보여주었다. 그리고 해외사업경험은 꽌시와 명성 이 글로벌 제휴파트너 기업과의 지식공유성과에 영향을 미침에 있어 긍정적인 조절효과를 미치는 것으로 나타났 다. 한편 해외사업조직은 꽌시가 제휴파트너 기업과의 지식공유성과에 영향을 미침에 있어 긍정적인 조절효과를 보여주었다. 그러나 명성이 제휴파트너 기업과의 지식공유성과에 영향을 미침에 있어서는 긍정적인 조절효과를 보여주지 못하는 것으로 나타났다. 본 연구는 특히 중국 내부에 오랜 기간 글로벌 전략적 제휴를 바탕으로 크게 둥지를 튼 중국기업에 대한 조직, 인적자원관리 측면에 대한 연구와 이들 기업들에 대한 국제경영 관점의 연구, 이 두 개의 큰 줄기를 하나로 통합한 관점에서 연구했다는데 큰 의미가 있다.

With the development of information technology, the market situation is changing more rapidly than ever. The change is most rapid in the preferences and lifestyle of consumers. For companies to survive in such an environment, it is indispensable to develop innovative and competitive new products by better understanding the needs of consumers. Any novel and meaningful idea of a new product basically originates from knowledge, which plays an important role in the performance of new products because it is the most valuable asset for a business entity. In this study, the author considers the knowledge sharing process as a dynamic aspect based on the term “knowledge,” carrying a static meaning as used in the existing research. The nature of the knowledge sharing process pertaining to new product development has been largely divided into three terms and then re-established. The author focuses on a new product development team as the subject of sharing and providing knowledge on new products, and regards the solution to problems that may arise in the development process as the stability of the team. The moderating effect was examined by the relationship between the type of knowledge sharing process and the outcome of the new product with the variable of team stability. The results indicate that the convergence and similarity of the knowledge sharing process affect new product performance as positive variables, whereas the tacitness of the knowledge sharing process does not lead to a significant result in terms of performance of new products. This study also shows that the stability of the team has a positively direct effect on the outcome of the new product. Thus, the convergence process of various kinds of knowledge positively affects the diversity and innovation of new product concepts. Moreover, the same recognition area or shared goal awareness and sense of responsibility play important roles in the performance of the new product. The moderating effect of team stability between the type of knowledge sharing process and new product performance is described in the convergence and tacitness of the knowledge sharing process. In the process of merging existing knowledge with new knowledge or sharing embedded knowledge in the members with, the activity wherein the members of the NPD team communicate and collaborate with each other over a long period of time will provide opportunity to improve the performance of the new product. The purpose of this paper is to examine the relationship between the type of knowledge sharing process, the stability of the team, and new product performance. Academic and managerial implications and the directions for future research are discussed as well.