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The purpose of this paper is to identify funders’ motivations for investing in crowdfunding. It applies trust theory to propose a research model including three subject measures – fundraiser-related, project-related and platform-related factors. Trust has been categorized into cognitive and affective dimensions to specifically analyze the influential factors.

Bootstrapping is employed to analyze data collected from respondents with investment experience on equity crowdfunding projects. Structural equation modeling techniques are adopted to examine the factors that influence trust between funders and crowdfunding as well as the outcomes of this trust.

The results indicate that calculus trust and relationship trust collectively or separately transmit the effect of some antecedents to investment intention. However, there is no evidence indicating the mediating effects of calculus trust and relationship trust on the relationship of structural assurance and value congruence to investment intention.

This paper provides insights for crowdfunding fundraisers on how to build a strong relationship with funders, and it also gives crowdfunding designers advice on how to improve and perfect the platform functions.

This study contributes to a better understanding of the driving forces of calculus and relationship trust and their influence on investment intention. It is also the first to address a funder’s trust using a theoretical model describing the investor intention in crowdfunding and thereby extending the knowledge base of trust theory.

The purpose of this paper is to investigate the factors associated with consumer’s intention to adopt wearable technology in healthcare, and to examine the moderating effects of product type on consumer’s adoption intention.

An integrated acceptance model was developed based on unified theory of acceptance and use of technology 2 (UTAUT2), protection motivation theory (PMT), and privacy calculus theory. The model was tested with 462 respondents using a survey.

Consumer’s decision to adopt healthcare wearable technology is affected by factors from technology, health, and privacy perspectives. Specially, fitness device users care more about hedonic motivation, functional congruence, social influence, perceived privacy risk, and perceived vulnerability, but medical device users pay more attention to perceived expectancy, self-efficacy, effort expectancy, and perceived severity.

This study is among the first to investigate healthcare wearable device from behavioral perspective. It also helps to comprehensively understand emerging health information technology (HIT) acceptance from technology, health, and privacy perspectives.

World Heritage Sites (WHSs), as crucial tourist attractions, have been demonstrated to promote inbound tourism development; however, no study has analyzed its impact on the origin distribution of inbound tourist flows (ODITFs), leaving a research gap. This study aims to apply power law to assess ODITFs and explore the impact of WHSs on ODITFs.

This study applied the power law of rank-size distribution to calculate ODITFs in 167 countries/regions from 1997 to 2018 and used the panel data model to analyze the effect of WHSs on ODITFs.

WHSs could positively impact ODITFs to be more even. Among them, a cultural WHS shows a more pronounced effect on ODITFs, while the effect of natural WHSs is negligible.

This study advances knowledge about the impact of WHSs on inbound tourism from the standpoint of ODITFs, contributing to the inbound tourist flows theory and tourist attraction theory. In a realistic sense, WHSs, as crucial tourist attractions, could make ODITFs more even, implying that destination management organizations could gain higher growth of incremental tourists from tail markets rather than head markets when increasing tourist attractions.

全球视角下联合国教科文组织世界遗产（whs）对入境游客源地分布的影响

世界遗产地（WHS）作为重要的旅游景点, 已被证明可以促进入境旅游的发展。然而, 目前没有研究分析其对入境游客源地分布（ODITF）的影响。本文旨在应用幂律评估入境游客源地分布, 并探讨世界遗产对入境游客源地分布的影响。

本研究应用序位-规模分布的幂律计算1997年至2018年167个国家/地区的入境游客源地分布, 并使用面板数据模型分析世界遗产对入境游客源地分布的影响。

世界遗产可以对入境游客源地分布产生积极影响, 使入境游客源地分布更加均匀。其中, 世界文化遗产对入境游客源地分布的影响更为显着, 而世界自然遗产的影响可以忽略不计。

本文从入境游客源地分布的角度, 推进了世界遗产对入境旅游影响的认识, 为入境旅游流理论和旅游景点理论做出了贡献。在现实意义上, 世界遗产作为重要的旅游景点, 可以使入境游客源地分布更加均衡, 这意味着目的地管理组织在增加旅游景点时, 可以从尾部市场获得更多的游客增量。

El impacto del Patrimonio de la Humanidad de la UNESCO en la distribución del origen de los flujos turísticos entrantes desde una perspectiva global

Resumen

se ha demostrado que el Patrimonio de la Humanidad de la UNESCO, como atracciones turísticas cruciales, promueven el desarrollo del turismo receptor; sin embargo, ningún estudio ha analizado su impacto en la distribución del origen de los flujos turísticos entrantes (DOFTE), lo que deja un vacío en la investigación. Este documento tiene como objetivo aplicar la ley de potencias para evaluar la DOFTE y explorar el impacto del Patrimonio sobre ella.

este estudio aplicó la ley de potencias de la distribución del tamaño del rango para calcular la DOFTE en 167 países/regiones desde 1997 hasta 2018 y utilizó el modelo de datos de panel para analizar el impacto del Patrimonio de la Humanidad en la DOFTE.

el Patrimonio de la Humanidad podría influir positivamente en la DOFTE para que sea más uniforme. Entre ellos, el Patrimonio cultural muestra un efecto más pronunciado sobre la DOFTE, mientras que el efecto del Patrimonio natural es insignificante.

este artículo avanza en el conocimiento del impacto del Patrimonio de la Humanidad en el turismo entrante desde la perspectiva de la DOFTE, contribuyendo a la teoría de los flujos turísticos entrantes y a la teoría de la atracción turística. En un sentido realista, el Patrimonio de la Humanidad, como atracciones turísticas cruciales, podrían hacer que la DOFTE fuera más uniforme, lo que implica que las organizaciones de gestión de destinos (OGD) podrían obtener un mayor crecimiento de turistas incrementales procedentes de los mercados secundarios en lugar de los mercados principales al aumentar las atracciones turísticas.

This paper aims to anticipate the possible development direction of WAAM. For large-scale and complex components, the material loss and cycle time of wire arc additive manufacturing (WAAM) are lower than those of conventional manufacturing. However, the high-precision WAAM currently requires longer cycle times for correcting dimensional errors. Therefore, new technologies need to be developed to achieve high-precision and high-efficiency WAAM.

This paper analyses the innovations in high-precision WAAM in the past five years from a mechanistic point of view.

Controlling heat to improve precision is an effective method. Methods of heat control include reducing the amount of heat entering the deposited interlayer or transferring the accumulated heat out of the interlayer in time. Based on this, an effective and highly precise WAAM is achievable in combination with multi-scale sensors and a complete expert system.

Therefore, a development direction for intelligent WAAM is proposed. Using the optimised process parameters based on machine learning, adjusting the parameters according to the sensors’ in-process feedback, achieving heat control and high precision manufacturing.

The purpose of this paper is to propose a graph-based representation approach for evolutionary knowledge under the big data circumstance, aiming to gradually build conceptual models from data.

A semantic data model named meaning graph (MGraph) is introduced to represent knowledge concepts to organize the knowledge instances in a graph-based knowledge base. MGraph uses directed acyclic graph–like types as concept schemas to specify the structural features of knowledge with intention variety. It also proposes several specialization mechanisms to enable knowledge evolution. Based on MGraph, a paradigm is introduced to model the evolutionary concept schemas, and a scenario on video semantics modeling is introduced in detail.

MGraph is fit for the evolution features of representing knowledge from big data and lays the foundation for building a knowledge base under the big data circumstance.

The representation approach based on MGraph can effectively and coherently address the major issues of evolutionary knowledge from big data. The new approach is promising in building a big knowledge base.

The primary objective of this research is to explore the underlying mechanisms of social ties influencing lurking behaviour in Microblog by combing role theory and social identity theory.

An online survey of 312 Microblog users in China was conducted to test the proposed research model and hypotheses. The partial least squares (PLS) approach was used to analyse the data.

The results show that social ties affect lurking behaviour on Microblog in two ways, directly and indirectly through role stress. Social ties have a negative direct impact on lurking behaviour. Based on the multiple mediation analysis, social ties positively affect lurking through role overload and negatively affect lurking via role ambiguity. Perceived heterogeneity strengthens the positive effects of social ties on role overload and conflict, and weakens the negative impact of social ties on role ambiguity. Social identification weakens the positive relationship between social ties and role overload and strengthens the negative relationship between social ties and role ambiguity.

This study extends the literature on the social interaction reasons behind lurking behaviour in Microblog by revealing the effects of social ties in Microblog. The theoretical mechanisms of social ties on lurking behaviour in Microblog are unveiled by discovering the direct effect of social ties, the mediating effects of multidimensional role stress, and the moderating effects of different kinds of social identity.

This paper seeks to discuss the genealogical sources for Chinese immigrants as well as the settlement of Chinese in the USA and the historical evolution of Chinese names, their origins, arrangement and development. It aims to cover the origins of various classes of Chinese surnames, followed by the content description of a traditional genealogical book for jiapu.

The paper researches the various ways that a Chinese person can find out about their ancestry.

The paper reveals the roles of libraries, including serving the needs of patrons interested in genealogical research, preserving and interpreting information through oral and family history projects and collaborating with other libraries through interlibrary loan, document delivery, library consortia, collection management and international resource‐sharing.

The study provides information on where and how to locate the genealogical resources for researching the genealogy of a Chinese family.

The paper analyzes the value of genealogical research as a documentary source for population history, life expectancy in a clan, marriages and family connections, as well as lineage organizations and inter‐lineage relations.

Health-related online fake news (HOFN) has become a major social problem. HOFN can lead to the spread of ineffective and even harmful remedies. The study aims to understand Internet users' responses to HOFN during the coronavirus (COVID-19) pandemic using the protective action decision model (PADM).

The authors collected pandemic severity data (regional number of confirmed cases) from government websites of the USA and China (Studies 1 and 2), search behavior from Google and Baidu search engines (Studies 1 and 2) and data regarding trust in two online fake news stories from two national surveys (Studies 2 and 3). All data were analyzed using a multi-level linear model.

The research detected negative time-lagged relationships between pandemic severity and regional HOFN search behavior by three actual fake news stories from the USA and China (Study 1). Importantly, trust in HOFN served as a mediator in the time-lagged relationship between pandemic severity and search behavior (Study 2). Additionally, the relationship between pandemic severity and trust in HOFN varied according to individuals' perceived control (Study 3).

The authors' results underscore the important role of PADM in understanding Internet users' trust in and search for HOFN. When people trust HOFN, they may seek more information to implement further protective actions. Importantly, it appears that trust in HOFN varies with environmental cues (regional pandemic severity) and with individuals' perceived control, providing insight into developing coping strategies during a pandemic.

Nickel-aluminum bronze (NAB) has been widely used in ship propellers. It is always subjected to local micro-plastic deformation in service environments. This paper aims to study the influence of plastic deformation on the mechanical strength and corrosion resistance of NAB in 3.5 Wt.% NaCl solution.

Scanning electron microscope and X-ray diffraction were used to analyze the microstructure of NAB alloy with different plastic deformations. Mechanical properties of the sample were measured by tensile experiment, and corrosion behavior was studied by electrochemical measurements and the long-term immersion corrosion test.

Results showed that the plastic deformation caused lattice distortion but did not change the microstructure of NAB alloy. Microhardness and yield strength of NAB were significantly improved with the increase of deformation. The lattice distortion accelerated the formation of corrosion product film, which made the deformed alloy show a more positive open-circuit potential and an increased Rp. However, during the long-term immersion corrosion, the corrosion resistance of NAB alloys deteriorated with the increase of plastic deformation. This is because larger plastic deformation brought about higher internal stress in corrosion product film, which resulted in the premature peeling of the film and the loss of its protective effect on the alloy substrate.

Tensile plastic deformations were found to cause a decline in the corrosion resistance of NAB. And the mechanism was clarified from the evolution of corrosion products during the corrosion process.

The purpose of this paper is to provide organizations in the Chinese cultural context with a conceptual model for an integrated adoption of existing knowledge management (KM) methods and to improve the effectiveness of their KM activities.

A comparative analysis is conducted between China and the western world based on a comprehensive document analysis from key databases available. In total, four critical dimensions, which are identified through the review of the related literature including observation, methodology, systems and applications, are used in the analysis for addressing the questions of why, what, how, and where in KM.

The paper rationalizes the need for this study in conformity with the emerging trend of an integrated use of diverse KM methods and approaches for effective KM in organizations. Further, a reference model for the integrated adoption of existing KM methods is developed with respect to the characteristics of the Chinese culture for improving the effectiveness of KM activities in the organizations. Such a model can adequately address the questions of why, what, how, and where in KM in Chinese organizations to the best of Chinese collective interest, which provides more comprehensive and unified KM views, activities, processes and technologies for collaborative innovation in Chinese organizations.

This paper is the first of its kind to systematically review existing KM methods and approaches with respect to the perspectives of observations, methodologies, systems and applications for effective KM in Chinese organizations.