Knowledge sharing mechanisms and techniques in project teams: Literature review,classification, and current trends

Knowledge management is the process of capturing, sharing, developing, and using the knowledge efficiently. Knowledge sharing as one of the important parts of the knowledge management system means that an individual, team, and the organization share the knowledge with other members in the form of activities through the various ways. On the other hand, a project team is a team whose members usually belongs to different departments and are assigned to join the same project. In a project team, knowledge sharing is very important because it provides a link between the member and the project team by sharing knowledge to reduce cost and increase the performance. However, despite the importance of the knowledge sharing mechanisms and techniques in the project teams, to the best of our knowledge, the comprehensive and systematic research and study about the antecedents and backgrounds of knowledge sharing mechanisms between project teams is rare. Therefore, the main aim of this paper is to provide the comprehensive and detailed review of the state-of-the-art knowledge sharing mechanisms in the project team as well as directions for future research. Also, this paper presents a systematic literature review (SLR) on the knowledge sharing mechanisms in project teams up to the end of 2015. We identified 71 papers, which are reduced to 28 primary studies through our paper selection process. By providing the state-of-the-art information and the challenges issues, this survey will directly support academics, researchers and practicing professionals in their understanding of developments in knowledge sharing mechanisms and techniques in project teams.     

Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research

In the information systems, customer relationship management (CRM) is the overall process of building and maintaining profitable customer relationships by delivering superior customer value and satisfaction with the goal of improving the business relationships with customers. Also, it is the strongest and the most efficient approach to maintaining and creating the relationships with customers. However, to the best of our knowledge and despite its importance, there is not any comprehensive and systematic study about reviewing and analyzing its important techniques. Therefore, in this paper, a comprehensive study and survey on the state of the art mechanisms in the scope of the CRM are done. It follows this goal by looking at five categories in which CRM plays a significant role: E-CRM, knowledge management, data mining, data quality and, social CRM. In each category, a couple of studies are presented and determinants of CRM are described and discussed. The major development in these five categories is reviewed and the new challenges are outlined. Also, a systematic literature review (SLR) in each of these five categories is provided. Furthermore, insights into the identification of open issues and guidelines for future research are provided.     

Online-Literaturdatenbanken im Bereich der Wirtschaftsinformatik: Bereitstellung wissenschaftlicher Literatur und Analyse von Interaktionen der Wissensteilung

Knowledge sharing is fundamental for innovations in the scientific community. The paper examines how the interaction of knowledge sharing is supported by online services. With respect to business information systems, a survey of online literature databases is given, providing an aggregation of various publication sources, a direct access to publications, and which are available to the public. Furthermore, special analysis services are presented which describe competitive interactions of knowledge sharing via rankings on the one hand, and cooperative interactions of knowledge sharing via co-authorship evaluation on the other.     

Knowledge hoarding and user acceptance of online discussion board systems in eLearning: A case study

This paper aims to reveal the determinants of the effectiveness of online discussion board systems (ODBSs) in eLearning environments to foster the interactions among the learners and/or instructors. A case in which an ODBS failed to foster the interactions among learners/instructors for knowledge sharing is introduced and hypotheses to explain the failure are developed based on thorough literature review in technology acceptance model (TAM) and knowledge hoarding. The hypotheses are tested via statistical analysis on the data collected from a questionnaire survey against the students who actually involved in the case study. The result shows that the low perceived usefulness of the ODBS by the students played major role in the failure of the system. Also it is hinted that network externalities as an intrinsic motivator is more effective than extrinsic motivators to increase the students’ activities on the ODBS. Finally the paper provides the designers of eLearning systems with advice for successful operation of ODBS in eLearning.     

What drives consumer knowledge sharing in online travel communities?: Personal attributes or e-service factors?

Consumer voluntary sharing of e-service knowledge in an online community is of great value to both business and consumers. This study develops and tests a research model integrating two personal attributes (consumer innovativeness and subjective knowledge) and two e-service factors (perceived ease of use and usefulness) in predicting consumer voluntary knowledge sharing in an online community. Data were collected using a web-based survey of 364 airline travelers recruited through an online travel community in China. Partial Least Squares Structural Equation Modeling (PLS-SEM) technique was used to analyze the data. The results reveal that personal factors are stronger drivers of knowledge sharing than e-service factors. This study advances consumer knowledge sharing in online communities, and has implications for enhancing a firm’s e-service strategies.     

Exploring factors that influence knowledge sharing behavior via weblogs

Knowledge sharing is seen as one of the essential processes for knowledge management. A growing number of professionals have started weblogging, and use this tool to share their ideas. It is important to explore ways to encourage individuals to contribute personal knowledge and to assist community members to share their expertise. Through the lens of sharing culture, we explore the factors that facilitate voluntary knowledge sharing in a virtual community. Specifically, the use of three categories associated with a sharing culture – fairness, identification and openness – is considered as a linear combination, which means that enjoying helping and usefulness/relevancy thereafter promote knowledge sharing behavior. To test the theoretical model, we survey 442 members of three online communities. In addition to the positive effects of fairness and openness on community sharing culture, we also find that enjoying helping, sharing culture and usefulness/relevancy are strongly linked to member knowledge sharing behavior. This paper offers a new perspective on the mechanisms related to the sharing culture construct, which in turn facilitates weblog knowledge sharing behaviors and yields important implications for understanding knowledge sharing behavior in online communities.     

A study of Facebook Groups members’ knowledge sharing

There have been many studies focusing on individuals’ knowledge sharing behavior in the organizational setting. With the rapid prevalence of social networking sites, many people began to express their thoughts or share their knowledge via Facebook website. Facebook is an open environment which does not provide any immediate monetary benefits to its users. Its Groups members’ knowledge sharing behavior could be different from the ones in organizations. We proposed a research model to examine factors which promote the Facebook Groups users’ willingness to share knowledge. The factors in the study include extrinsic motivation, social and psychological forces, and social networking sharing culture. We used PLS to test our proposed hypotheses based on 271 responses collected through an online survey. Our results indicated that reputation would affect knowledge sharing attitude of Groups members and sense of self-worth would directly and indirectly (through subjective norm) affect the attitude. In addition, social networking sharing culture (fairness, identification, and openness) is the most significant factor, not only directly affecting knowledge sharing intention, but also indirectly influencing the sharing intention through subjective norm and knowledge sharing attitude.     

Why do adolescents untag photos on Facebook?

Facebook users practice different strategies for managing their online self-presentation. Among the different available techniques, untagging is the most popular and frequently utilized. However, literature on the subject has not examined the untagging practices among adolescent Facebook users. In addition to this, there is no current knowledge of the differences between adolescent Facebook users who do and do not untag photos. The present study addresses this gap through a cross-sectional survey that involved 380 adolescent Facebook users (aged 12–18 years). The current study examines these differences in terms of adolescents' demographic attributes, digital imaging accessibility, online regret experience and management of digital photos. The study findings suggest that older males, extroverts, and those who perceive online information to be public, have more experience of taking and sharing photos, spend more time taking photos, practice strict protection of photos, demonstrate a negative perception of cloud storage, and rarely keep backups, are likely to untag photos. In addition to this, sociability and time lapse, in terms of realizing regretful experiences, significantly predicted the tendency among adolescents to untag photos. The study concludes by identifying various theoretical and practical implications of these findings.     

The equivalence of Internet versus paper-based surveys in IT/IS adoption research in collectivistic cultures: the impact of satisficing

An increasing proportion of information technology (IT)/information system adoption research collects data using online surveys. However, a paucity of research assesses the equivalence of paper-based versus Internet-based surveys in collectivistic cultures. Furthermore, no theoretical or empirical research investigates how cultural differences between collectivistic and individualistic cultures influence the measurement equivalence (ME) of these survey modes. To explore these issues, online and paper-based surveys with comparable samples were carried out in both an individualistic (the USA) and a collectivistic culture (China). Confirmatory factor analysis was conducted to examine the ME across both survey modes in these different cultures. Results indicate that the relatively larger satisficing discrepancy between paper and online surveys causes respondents in collectivistic cultures to have an increased likelihood of providing responses that vary as compared to respondents in individualistic cultures. The disparate responses, in turn, result in increased measurement variance between the two survey modes. The findings of this study bridge a gap in the literature and address the question of how culture influences online satisficing behaviour and how that behaviour causes measurement invariance across survey modes. This study also explains the possible underlying mechanisms by which different national cultures exert their influence on survey results. The findings provide important implications for IT researchers, especially those in collectivistic cultures or those who need to collect data in collectivistic cultures using online surveys or mixed-mode surveys that include an online survey mode.     

A review on the computation offloading approaches in mobile edge computing: A game-theoretic perspective

In recent years, novel mobile applications such as augmented reality, virtual reality, and three-dimensional gaming, running on handy mobile devices have been pervasively popular. With rapid developments of such mobile applications, decentralized mobile edge computing (MEC) as an emerging distributed computing paradigm is developed for serving them near the smart devices, usually in one hop, to meet their computation, and delay requirements. In the literature, offloading mechanisms are designed to execute such mobile applications in the MEC environments through transferring resource-intensive tasks to the MEC servers. On the other hand, due to the resource limitations, resource heterogeneity, dynamic nature, and unpredictable behavior of MEC environments, it is necessary to consider the computation offloading issues as the challenging problem in the MEC environment. However, to the best of our knowledge, despite its importance, there is not any systematic, comprehensive, and detailed survey in game theory (GT)-based computation offloading mechanisms in the MEC environment. In this article, we provide a systematic literature review on the GT-based computation offloading approaches in the MEC environment in the form of a classical taxonomy to recognize the state-of-the-art mechanisms on this important topic and to provide open issues as well. The proposed taxonomy is classified into four main fields: classical game mechanisms, auction theory, evolutionary game mechanisms, and hybrid-base game mechanisms. Next, these classes are compared with each other according to the important factors such as performance metrics, case studies, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed, as well. Finally, open issues and future uncovered or weakly covered research challenges are discussed and the survey is concluded.     

Clicking vs. sharing: The relationship between online news behaviors and political knowledge

Online news and social media are transforming the process of news production and reading. While research has shown that news media play an important role in providing information to the public in democratic societies, research investigating the impact of sharing news online on the process of public opinion formation is in a nascent stage. This study examines the impact of viewing and sharing online news on two dimensions of political knowledge: factual knowledge and structural knowledge. Results from survey data collected over 3-waves during the 2012 US Presidential Election from an online panel of 403 US adult Internet users show that reading online news is positively related to factual political knowledge. Sharing online news, in contrast, is related to structural knowledge. We discuss these findings and their implications for future research investigating the role of online news.     

Understanding moderating effects of collectivist cultural orientation on the knowledge sharing attitude by email

This paper investigates the moderating effects of collectivist cultural orientation introduced in the information systems and knowledge management (KM) literature to fully understand the important factors and relationships in knowledge sharing in the online learning environment. Social norms and collectivist cultural orientation are hypothesized as direct and moderating factors to the system users’ (or learners’) attitude toward sharing knowledge by email. An empirical test of large student samples (n = 566) with multiple cultural backgrounds in the most diverse university was implemented by PLS. The test confirmed that collectivist cultural orientation moderates the effects of social norms on the attitude toward sharing knowledge by email. Furthermore, the test results show that group norms are stronger than the instructor or classmate norms. Theoretical and practical implications of these findings for online learning and KM are discussed in the paper.     

Information sharing on social media sites

This study reports on an exploratory survey conducted to investigate the use of social media technologies for sharing information. This paper explores the issue of credibility of the information shared in the context of computer-mediated communication. Four categories of information were explored: sensitive, sensational, political and casual information, across five popular social media technologies: social networking sites, micro-blogging sites, wikis, online forums, and online blogs. One hundred and fourteen active users of social media technologies participated in the study. The exploratory analysis conducted in this study revealed that information producers use different cues to indicate credibility of the information they share on different social media sites. Organizations can leverage findings from this study to improve targeted engagement with their customers. The operationalization of how information credibility is codified by information producers contributes to knowledge in social media research.     

Developing strategies for overcoming barriers to knowledge sharing based on conversational knowledge management: A case study of a financial company

Knowledge management involves the systematic management of vital knowledge resources and the associated processes of creating, gathering, organizing, diffusion, utilizing and exploiting information. A key challenge emerging for organizations is how to encourage knowledge sharing within an organization because knowledge is an organization’s intellectual capital and is of increasing importance in gaining a competitive business advantage. Isolated initiatives for promoting knowledge sharing and team collaboration without taking into consideration the limitations and constraints of knowledge sharing can halt any further development in the KM culture of an operation. This article investigates knowledge sharing bottlenecks and proposes the use of conversational knowledge sharing as an effective instrument for knowledge sharing. And to develop strategies, this paper determines the causes and effects of knowledge barriers and proposes solutions by using HOQ. The article introduces a financial company case study as a best practice example of conversational knowledge sharing. Then, the paper analyzes the case study to provide evidence for the feasibility and effectiveness of the proposed approach.     

Sharing and cultivating tacit knowledge in an online learning environment

Research on knowledge cultivation often focuses on explicit forms of knowledge. However, knowledge can also take a tacit form—a form that is often difficult or impossible to tease out, even when it is considered critical in an educational context. A review of the literature revealed that few studies have examined tacit knowledge issues in online learning environments. The purpose of this study was to develop a greater understanding of the conditions and processes that help promote the sharing or cultivation of tacit knowledge in a formal online course setting. Using naturalistic inquiry as the methodology of this study, an online graduate business course offered at a private, non-profit United States-based university was purposively selected as the research site. The study found that the online course encouraged processes and created conditions consistent with Nonaka‘s model of knowledge creation and the concept of ba (or shared context)—encouraging students to share, and to construct knowledge through socialization, externalization, combination, and internalization. The results suggest that purposefully developing a ba-like environment may be a useful approach to facilitating online learning, creating a strong potential to support learning processes necessary for students to cultivate tacit knowledge.     

Survey on the Analysis of User Interactions and Visualization Provenance

There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there is an increasing need to identify and taxonomize the existing scholarship. Such an organization of the research landscape will provide a complete picture of the current state of inquiry and identify knowledge gaps or possible avenues for further investigation. In this STAR, we aim to produce a comprehensive survey of work in the data visualization and visual analytics field that focus on the analysis of user interaction and provenance data. We structure our survey around three primary questions: (1) WHY analyze provenance data, (2) WHAT provenance data to encode and how to encode it, and (3) HOW to analyze provenance data. A concluding discussion provides evidence-based guidelines and highlights concrete opportunities for future development in this emerging area. The survey and papers discussed can be explored online interactively at https://provenance-survey.caleydo.org .     

A proposed model for evaluating the success of WebCT course content management system

WebCT is an online course management system which is accessed through the portal. It has a wide range of tools which support teaching and learning and enable online delivery of lecture notes, representations, surveys and quizzes, coursework, discussion boards and much more. Evaluation of WebCT systems success or effectiveness is a fundamental challenge to education institutions. A review of previous e-learning research suggests a focused evaluation approach, thus offering limited discussion of comprehensive views of WebCT systems success or systematic and practical guidance to its evaluations. Based on a prevalent information systems success model, this paper proposes and describes a revised model for evaluating WebCT systems success in educational settings. The study findings suggest that content quality, system quality, support service quality, teaching and learning quality, self-regulated learning, intention to use/use, user satisfaction and net benefits are important factors for evaluating the success of WebCT CCMS. Implications of the proposed model for theory and practice were illustrated. In addition, future research directions that extend the reported study are also preferred.     

信息生态系统的多主体(Agent)交互模型

从生态学原理出发，提倡信息生态，将信息社会纳入可持续发展的轨道意义重大。本文将企业、地区等信息实体抽象为信息主体，定义了反映信息主体在不同领域内的知识水平指数，以及信息交流和自学创新对指数的影响，对信息生态系统建立了基于多主体(Agent)的信息交互模型，“自底向上”对主体信息行为、系统信息多样性、系统信息分化、自学创新的作用等问题进行模拟研究。研究结果表明，在信息社会中，若仅仅依靠信息交流，随着时间的演进，信息的差异性下降；系统知识水平的增长率减缓，最终将趋于停滞。结果还显示信息优势群体和弱势群体在信息是交流还是共享的不同情况下，其相对信息优势基本不变，弱势群体要改变上述情况，必需知识更新和提高自身的知识创新能力。本研究为建立系统化的信息生态科学体系做了铺垫。     

Influences of Web interactivity and social identity and bonds on the quality of online discussion in a virtual community

People participate in virtual communities (VCs) for knowledge sharing or social interaction. However, most studies of VCs have focused on elucidating knowledge sharing rather than predicting virtual social interactions. This study considers “quality of online discussion” an appropriate metric for assessing group-level outcomes of virtual social interactions, and thus for predicting member willingness to sustain an ongoing relationship with a virtual community (VC). This study develops a research model, grounded in Web interactivity, social identity and social bond theories, for predicting the quality of online discussion in terms of cognitive and social influences. Empirical results from an online survey of a VC verify distinct direct and indirect social influences (perceived internalization bonds and perceived identification bonds) and cognitive influences (perceived communication and perceived control). Implications for academics and practitioners are also discussed.