Structured Abstract Purpose – The purpose of this paper is to propose a conceptual design of a virtual knowledge space for use by digital humanists. Digital humanists’ work lies at the crossroads of computer science and the humanities (Stanford Humanities Center, 2017). Moving traditional humanistic material into digital forms brings new challenges for scholars of the humanities. The proposed virtual knowledge space is intended to help users make humanistic knowledge in digital media more manageable and usable. Design/methodology/approach – A knowledge management (KM) approach suggested by Handzic (2004) was used as a theoretical basis for designing the structure of the proposed knowledge space. According to KM, a virtual knowledge space should provide support for knowledge codification and personalisation. It should also support knowledge exploration and exploitation. Following these KM principles, the proposed design incorporates the ability to build and access knowledge repositories (e.g. digital documents, images, metadata), tools for knowledge discovery and presentation (e.g. data mining, topic modelling, visualisation), support for knowledge sharing and collaboration with other researchers (e.g. email, wikis, virtual meeting rooms), as well as for new knowledge creation (e.g. simulation games, mind mapping, brainstorming). Originality/value – This paper contributes a novel conceptual design of a virtual knowledge space that pushes forward the current state-of-the art in digital humanities. It integrates all relevant digital assets, services and tools that support the user experience. It is envisaged as a one-stop shop for humanities scholars in the digital production and usage of relevant humanistic knowledge. Practical implications – The current conceptual work implies that KM technology may change the way humanities scholars interact with their data and share their insights. In particular, the paper suggests that the proposed virtual knowledge space may serve as reference for implementing various digital humanities projects relevant to a wide range of humanities disciplines. However, these implications need to be interpreted with caution due to the current lack of empirical evidence. Future study is recommended to address this research gap. Keywords – Knowledge Management, Digital Humanities, Virtual Knowledge Space, Conceptual Design. Paper type – Academic Research Paper

Purpose: This paper discusses key aspects of knowledge management (KM) education in response to challenges posed by the necessity to improve KM as a discipline and an established professional field. Design/methodology/approach: The paper is based on a systematic review of the current literature. Also, it reports the results of a recent panel held at the 2016 International Conference on Knowledge Management (ICKM). It brings together current literature with thought-provoking panelists’ presentations and subsequent debates with the audience. Findings: KM education from the “why, what, who, where and when” perspectives were first addressed and analyzed, and the end result was a reflection on “how” to approach KM education in the future. Research implications: This paper effectively underlines that, KM being a relatively new phenomenon, there is no clear consensus about roles that KM employees should play in an organization, what KM competencies and skills are needed, and where and when these should be obtained. Broad guidelines on how to approach KM education in the future may serve as a basis for further research. Social and practical implications: The study provides suggestions on how place KM in adult education. Originality/value: The paper tackles the research questions through an innovative combination of a systematic literature review and a panel discussion on the topic of KM and education. Overall, the paper provides a fresh view of the state of the art of knowledge and research on the topic, and also shows the common vision of a group of KM researchers and educators.

This paper traces the changes in the development of the field of knowledge management (KM) over time, through a review of the representative literature and the author’s own research. The paper starts by going back to the origins of KM and reflects on three significant evolutionary stages termed fragmentation, integration and fusion. Following these reflections on the KM past, the paper speculates on the possible KM future. It identifies three emerging trends named extension, specialization and reconceptualization that point to several possible KM futures. The first two involve decentralisation and regeneration of prior KM interpretations, while the third trend signals a revolutionary next KM generation. Irrespective of the direction it may take, the evidence presented in this paper suggests that KM has a future, although it may not be without challenges.

Purpose – The purpose of this paper is to empirically investigate the relationship between project-specific intellectual capital (IC) and project success in the context of information technology (IT) projects. Design/methodology/approach – Using data collected from surveys of 603 IT professionals across a variety of projects, the authors constructed a structural (structural equation model) model in AMOS to examine the relationships between three dimensions of project-specific IC (project team, project customer and project process) and project success. Findings – The empirical results support the proposition that IC has a positive impact on project success, and thus may be a good indicator of future projects’ performance. More importantly, the authors found out an important mediating role of a project’s structural capital (process) in exploiting its human (team) and relational (customer) capital for realising project success. Research limitations/implications – Interpretation of current results should be c...

A contingency perspective of knowledge management recognises the need for a fit between knowledge management solutions KMS and decision making contexts which they support. In order to determine the best fit, a field survey was carried out to investigate the impact of two different types of KMS technical and social on decision makers' behaviour and performance in different decision contexts simple and complex. The results provide partial support for the contingency view. As expected, the study identified social KMS as the best fit for complex contexts, based on subjects' superior performance from comparable adoption of both KMS. In contrast, the study identified that both KMS were an equally good fit for simple contexts, based on similar levels of subjects' performance, but social KMS was preferred in terms of adoption. These findings contribute to much needed empirical evidence for research and provide useful guidance for practice. However, their limitations warrant further study.

This.chapter.reports.the.results.of.an.empirical.examination.of.the.effectiveness.of. two knowledge management strategies (codification and personalisation) in improv - ing decision-making performance in a simulated forecasting task. Codification was manipulated.with.and.without.a.procedural.knowledge.map,.and.personalisation. in.terms.of.an.interactive.and.noninteractive.decision.environment..Results.indicate that only codification had a significant effect on performance. Subjects with a procedural.knowledge.map.demonstrated.less.frequent.use.of.decision.heuristics,. and.generated.more.accurate.forecasts.compared.to.those.without.such.a.map.. Subjects.from.an.interactive.decision.environment.performed.similarly.to.those. working.on.their.own..

Traditionally, the fields of knowledge management (KM), intellectual capital (IC) and project management (PM) have been studied separately. More recently, scholars have started to call for convergence between these disciplines in order to broaden research interests and opportunities in academia and enhance their value to practice. Following the current trend, the purpose of this paper is to propose a new conceptual model that merges elements of knowledge management (KM), intellectual capital (IC) and project management (PM) and thus connects dynamic (KM), static (IC) and performance (PM) aspects of project-based organisations. It is expected that the proposed model will serve as a valuable theoretical basis for future empirical research of modern knowledge organisations.

This book celebrates the past, present and future of knowledge management. It brings a timely review of two decades of the accumulated history of knowledge management. By tracking its origin and conceptual development, this review contributes to the improved understanding of the field and helps to assess the unresolved questions and open issues. For practitioners, the book provides a clear evidence of value of knowledge management. Lessons learnt from implementations in business, government and civil sectors help to appreciate the field andgain useful reference points. The bookalso providesguidance for future researchby drawing together authoritative views from people currently facing and engaging with the challenge of knowledge management, who signala bright future for the field.

This paper examines empirically the role of business intelligence (BI) in customer relationship management (CRM). Drawing on relevant literature on BI and CRM, the research model for the current investigation proposes that BI approaches of an organisation and its competition influence organisational business strategy which in turn impacts its customer strategy. The model is tested empirically using survey data of 165 respondents from 73 different private and state owned businesses operating in a transitional economy of East Europe. Empirical evidence confirms a key role of BI in CRM through its impact on organisational business and customer strategies development. Such findings make two important contributions. For research, they provide an improved understanding of the factors and processes involved in realising benefits from BI. For practice, they show managers how BI can be leveraged to achieve performance gains through competitive actions. Further research is recommended to confirm and extend the current investigation.

The purpose of this research was to identify the relationships between ‘Facebook’ brand page users’ motivations, engagement behaviours and future behavioural intentions. For this purpose, a model of Facebook brand fan page user motivations, engagement and behavioural intentions was proposed. The model was tested via an online survey distributed to Facebook users in Bosnia and Herzegovina. A total of 504 usable surveys were considered for the data analysis. Following the exploratory factor analysis tests, four main motivational factors emerged; information, personal identity, leisure and social interaction. Then, the relationships between these four motivational factors and customer engagement and behavioural intentions were tested in a structural model. Model tests revealed that Facebook brand fan page users were most motivated by information needs in regards to stronger engagement with the fan pages and more positive intentions to buy products through these fan pages. Personal identity needs were also important reasons for customer engagement with brand fan pages on Facebook. Based on these results, practical recommendations were given to marketers and brand fan page administrators.