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The purpose of this paper is to investigate how the factors from environmental level and personal level influence the knowledge sharing behavior and community participation.

This research study, which consisted of 394 valid respondents who were members of the Yambol online test community, used online survey to collect data. This research used the structural equation modeling to analyze the data with good model fit.

The results of this research showed the following: the anticipated reciprocal relationship, norm of reciprocity, and anticipated extrinsic rewards had a significant and positive effect on knowledge sharing behavior, respectively; knowledge sharing behavior had a significant and positive effect on community participation; knowledge sharing self-efficacy was the mediator between anticipated extrinsic rewards and knowledge sharing behavior; and community identification moderated the relationship between knowledge sharing behavior and community participation.

This study was a cross-sectional study. Future research can employ a longitudinal study to conduct long-term observations of knowledge sharing behavioral changes among members of the Yambol online test community. Moreover, this study applied social cognitive theory as the basis to explore the antecedents of knowledge sharing behavior of members of the Yambol online test community. Future research can apply a broad range of behavioral theory or combinations of research variables to explore comprehensive factors of knowledge sharing behavior.

From a managerial standpoint, this study can assist professional online learning community in understanding the antecedents of knowledge sharing behavior and community participation from personal and environmental level.

Yambol online test community managers can enhance reciprocity relationship between members in the emotional level. In addition, Yambol online test community managers can use the appropriate norm of reciprocity to strengthen the trust of community members and enhance the knowledge sharing behavior of community members in the rational level.

First, most scholars viewed knowledge sharing from perspectives of corporate, organizational, or a typical internet community, but rarely applied a perspective from a professional online learning community to conduct research. Therefore, this research focussed on professional online learning community as the research subject. Second, the literature review revealed that reciprocity divided into anticipated reciprocal relationship and norm of reciprocity. Previous studies have used anticipated reciprocal relationship or norm of reciprocity as research aspects for examining reciprocity; however, no other study has evaluated both concurrently. Third, studies on the behavioral dimension have included knowledge sharing behavior and community participation. This study examined the influence of knowledge sharing behavior on community participation. Additionally, community identification was the moderator of the effect of knowledge sharing behavior on community participation.

This study aims to investigate how psychological motivations influence the knowledge-sharing intention of employees and how these effects are moderated by traditional Chinese culture.

A questionnaire survey was conducted in China to test the research model. The target samples comprised MBA students who have enough practical experience, as well as considerable academic experience.

The results suggest that anticipated reciprocal relationships, anticipated extrinsic rewards and sense of self-worth exert different effects on knowledge-sharing intention. In addition, traditional Chinese culture plays different roles in the relationships among these three psychological motivations and knowledge-sharing intention. Specifically, guanxi orientation positively moderates the effect of anticipated reciprocal relationships and negatively moderates the effect of sense of self-worth. Face gaining negatively moderates the effect of anticipated reciprocal relationships and positively moderates the effect of sense of self-worth. Face saving negatively moderates the effect of anticipated reciprocal relationships and sense of self-worth.

A few studies in extant knowledge management (KM) literature provided insights into how traditional Chinese culture could directly affect knowledge sharing. The authors depart from these studies by integrating these characteristic indigenous concepts (i.e. face and guanxi orientation) into this study. The authors offer an indigenous cultural view of how these indigenous concepts truly influence an individual’s psychological states and inclination in KM literature. Through this approach, the results confirm that these cultural factors do play an important role during the formation of knowledge-sharing intention and reveals several important research findings.

Social commerce sites offer fertile ground for users to communicate product information. Given that such sites have the potential to transform the way of doing business, it is clearly important for academics to understand user information sharing on social commerce sites. Existing research has considered motivations as core elements of user information sharing in online communities. The purpose of this paper is to advance the theoretical understanding of user information sharing by investigating differences in motivations between the different user types of social commerce sites: sellers and buyers, and the impact on social commerce.

The authors conducted an empirical study by analyzing data from a social commerce site in China, including panel data (n=892) and survey data (n=913).

This research showed that user type (i.e. sellers and buyers) plays an important moderating role in user information sharing: sellers exert a positive moderating effect on utilitarian and social motivations, while buyers are found to have a positive moderating effect on hedonic motivation.

This study contributes to existing literature, not only by exploring the antecedents of user information sharing on social commerce sites from utilitarian, hedonic and social dimensions, but also by providing an evaluation of user types (i.e. sellers and buyers). The authors believe that the results of this study offer important and interesting insights for IS research and practice.

This study will enhance social commerce site managers’ understanding of better features for information sharing and differences in motivation between sellers and buyers. This could improve the effectiveness of encouraging strategies and help social commerce sites be more sustainable in the highly competitive contemporary environment.

Based on social exchange theory and motivation theory, this paper takes user types into account, and postulate that user type (i.e. sellers and buyers) plays a moderating role in the relationships between motivations (i.e. utilitarian, hedonic and social motivation) and user information sharing intention on social commerce sites.

The purpose of this paper is to investigate what triggers tourist’s use of geotag as an information sharing tool in social media.

This study divided tourists’ goals into task-involved goals (enjoyment of geotags and altruism) and ego-involved goals (anticipated extrinsic reward and desire for attention), and then examined the influences of these goals on their geotag satisfaction and information-sharing behavior by using PLS-Graph 3.0.

Whereas the anticipated extrinsic rewards, altruism, and enjoyment of geotags were found to influence their geotag satisfaction, desire for attention was not. Enjoyment of geotags was found to be the strongest predictor of tourists’ geotag satisfaction, which in turn affected their information-sharing behaviors. Based on these findings, the authors present theoretical and practical implications with suggestions for future research.

Geotag services are not identical in all social media, so study participants might have perceived the characteristics of geotags differently depending on which social media they use.

The enjoyment of geotags, altruism, and anticipated reward were found to influence geotag satisfaction; however, desire for attention was not. The results imply that enjoyment of geotags and anticipated reward strongly predict geotag satisfaction.

The purpose of this paper is to investigate knowledge sharing of Chinese and German scientists collaborating in a cross‐cultural nanotechnology R&D project. Particularly, the authors analyze cultural differences that might indirectly influence the scientists' intention to share knowledge.

Quantitative data were gathered from professors and PhDs working in academic Chinese‐German nanotechnology collaboration regarding influencing factors of their intention to share knowledge like subjective norms, anticipated extrinsic rewards and image. Moderated regression analysis was used to identify how nationality influences the relationships between independent variables and the intention to share knowledge.

The findings show that the analyzed variables generally constitute important influencing factors of the intention to share knowledge. However, moderation analysis suggests that the proposed differences between the Eastern and Western cultures do not significantly affect influencing factors of the intention to share knowledge.

The focus of this study is on an academic environment, limiting the generalizability of the results. It promises to be a worthwhile endeavor to investigate possible influencing factors and effects of organizational culture in cross‐cultural collaboration projects more thoroughly in the future, further deepening our understanding of knowledge sharing in collaborative R&D projects.

Cultural differences between Chinese and German researchers might have diminished over the past decades. Both in China and Germany, academic scientists can be expected to largely share the same values, beliefs, assumptions and expectations with regard to their work.

The study at hand is the first analysis of an academic Chinese‐German nanotechnology collaboration.

Crowdworkers' sustained participation is critical to the success and sustainability of the online crowdsourcing community. However, this issue has not received adequate attention in the information systems research community. This study seeks to understand the formation of crowdworker sustained participation in the online crowdsourcing community.

The research model was empirically tested using online survey data from 212 crowdworkers in a leading online crowdsourcing community in China.

The empirical results provide several key findings. First, there are two different types of sustained participation: continuous participation intention (CPI) and increased participation intention (IPI). Second, extrinsic motivation and intrinsic motivation positively influence crowdworker CPI and IPI. Third, community commitment negatively moderates the effects of extrinsic motivation on CPI and IPI, while it positively moderates the effects of intrinsic motivation on CPI and IPI.

This study has significant implications for research on online crowdsourcing community and provides practical guidance for formulating persuasive measures to promote crowdworker sustained participation in the community.

The purpose of this paper is to offer an understanding of the development and consequence of absorptive capacity (AC) at the individual level of analysis. The authors assess how perception of organizational commitment to learning and intrinsic motivation affects individual potential AC, and employee creativity and job performance as the key outcomes of individual AC. Furthermore, the authors examined the dual role of realized AC as a mediator in the potential AC-creativity relationship, and a moderator on the creativity-job performance relationship.

This paper draws from 125 paired supervisor-employee survey data, where supervisors rated subordinates’ creativity and job performance. Hierarchical regression was used to test the proposed hypotheses.

The results confirm that both perception of organizational commitment to learning and intrinsic motivation contribute to the development of individual potential AC (above and beyond extrinsic motivation). Individual realized AC mediated the potential AC-creativity relationship. Employee creativity was positively related to job performance.

This study speaks directly to the question of how an organization can encourage its employees to absorb new knowledge, and the benefits of employee learning activities on their creativity and job performance.

This is one of the first studies to offer a more nuanced understanding of the development and consequences of individual AC – a level of analysis has been lack of empirical studies. It further point out how individual characteristic and perceptions can influence their learning capacity, and in turn, their performance.

Almost every study undertaken by academicians or practitioners on the Internet of Things (IoT) has mainly highlighted the privacy concerns and information security issues with the IoT products. On the contrary, this paper aims to explore the motivators that could encourage customers of an IoT product to share their IoT product’s data with a third-party aggregator system to facilitate computer-generated product reviews which are defined as electronic Word of Thing (eWOT) in this paper.

An experiment was conducted with customized e-commerce prototypes of eWOT. Structural equation modeling analysis was conducted to test the measurement model by using confirmatory factor analysis and thereafter a structural model to test the relationships amongst the latent variables.

This paper found that five consumer motivators (personal innovativeness, enjoyment of helping, anticipated extrinsic rewards, moral obligations and venting negative feelings) contribute to eWOT intention.

This research advances the understanding of human interaction with computer-generated product reviews and opens up avenues for future studies in online consumer behavior in the IoT context.

This paper presents motivators for eWOT intention to share IoT product data. This is done through a novel concept of an experimental IoT-based prototype, namely, eWOT. These eWOT reviews can be generated from the IoT products data by applying analytics and using natural language generation. To the best of the authors’ knowledge, no other study has been conducted on this subject.

The purpose of this paper is to contribute to the limited previous research on knowledge sharing in universities, by profiling the attitudes of and intentions towards knowledge sharing of UK academics, and by profiling their views of some of the factors that might be expected to impact on knowledge sharing activities.

A questionnaire‐based survey was used to gather a profile of UK academics' attitudes and intentions towards knowledge sharing and related factors, including expected rewards and associations, expected contribution, normative beliefs on knowledge sharing, leadership, structure, autonomy, affiliation to institution, affiliation to discipline, and technology platform. Responses were received from 230 academics in 11 universities.

Respondents had positive attitudes towards knowledge sharing and their intentions in this area were also good. This may be related to their belief that knowledge sharing will improve and extend their relationships with colleagues, and offer opportunities for internal promotion and external appointments. Respondents are relatively neutral regarding the way in which they are led, and the role of organisational structure and information technology in knowledge sharing. They have a relatively low level of affiliation to their university, perceptions of a high level of autonomy, coupled with a high level of affiliation to their discipline.

This study demonstrates that universities do have an embedded knowledge culture, but that culture is individualistic in nature and to some extent self‐serving and instrumental. This poses interesting challenges for knowledge management in universities.

Knowledge sharing is influenced by various factors in different cultures. It is imperative to understand those factors that influence knowledge sharing, therefore, this paper aims to examine the factors that influence cultural heritage knowledge (CHK) sharing.

Data was collected from 400 Tangkhul youth from Manipur state through a survey-based questionnaire. Data screening, factor analysis and reliability tests were carried out to confirm the validity and reliability of the instruments, t-test and ANOVA test were carried out to check the stated hypotheses.

From factor analysis, six factors i.e. rewards, intention to share, expect a relationship, enjoy helping, self-efficacy and reciprocity, were identified which are influencing knowledge sharing. The study indicates that “rewards” and “intention to share” are the two most vital factors influencing the individuals to share their CHK. The results show that “rewards” have a significant difference on gender and place of residence [(t = 3.153, p = 0.002) and (t = 2.500, p = 0.013)] also “enjoy helping” has a significant difference on the subject background (F = 3.185, p = 0.024) and “reciprocity” and “intention to share” has a significant difference on family income [(F = 3.270, p = 0.007) and (F = 2.716, p = 0.020)].

This study determines to identify the various factors that are influencing on sharing of CHK among the Tangkhul youth. It is found that reward was the prime factor in sharing CHK among the Tangkhul youth.