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The purpose of this study is to examine the impact of information technologies and technology-enabled social networks on the efficiency of knowledge management processes in the Middle Eastern audit and consulting companies.

Scientific literature analysis, structural equation modeling and expert evaluation (structured questionnaire) were used to develop the research model, collect data from the audit and consulting companies’ experts and test the research hypotheses.

The empirical results of this research supported the hypotheses stating that information technologies and social networks positively affect the knowledge management cycle, including five processes (acquisition, creation, storage, sharing and application) within the Middle Eastern audit and consulting companies.

The research results were generated from the Middle Eastern audit and consulting companies, which form a limitation concerning the geographical area and the business sector.

From the results of this study, audit and consulting companies, as well as organizations and society broadly, would benefit via the positive effect of information technologies and technology-enabled social networks on the whole knowledge management cycle, which has a further impact on organizational performance. These practical implications are related to a more open, sharing culture that drives organizational performance to the members and stakeholders of organizations, which, in turn, benefits society.

This research analyzes information technologies and technology-enabled social networks’ impact on knowledge management processes, particularly in the context of the Middle Eastern audit and consulting companies. While the phenomena have received some attention in the prior scientific research, the studied context so far remained under-researched, where a gap is found in studying the knowledge management cycle as a whole.

This paper aims to discuss the dynamic interactions among knowledge management, strategic foresight and emerging technologies, resulting in a framework that can help companies to shape these interactions for achieving positive outcomes.

This conceptual paper is based on prior literature streams, which were interrelated through an abductive research process. This iterative conceptualization approach led to the formation of testable propositions that advance the understanding on the interactions among knowledge management, strategic foresight and emerging technologies.

The framework demonstrates the existence of an actions cycle between strategic foresight and knowledge management through a constructivist perspective, where one can improve the other. These interactions can be useful both for the development of emerging technologies and for identifying these innovations in market that can be applied in companies. Hence, all these dynamic interactions do not point to a hegemonic relationship of one construct over the others, but for the value equality among them.

Although current literature points to the existence of relationships among knowledge management, strategic foresight and emerging technologies, the dynamism inherent in these interactions as well as their positive effects for companies’ results are not properly discussed. This paper fills such a gap and proposes directions for future research.

The importance of e-literacy of staff in the digital life is fundamentally very crucial, to such an extent that it is considered as one of the primary conditions for successful utilization of knowledge management processes using social technologies within organizations. This study aims to explain and test a novel conceptual model to show the impact of applying social technologies on knowledge management (KM) processes in the context of Iranian organizations, considering the moderator role of e-literacy of employees.

Based on an in-depth study of the relevant literature, a questionnaire was designed. The sound questionnaires obtained from our sample size was 207 and respondents were experts in the field of information technology (IT) within the Central Office of Insurance companies in Tehran. The collected data were analyzed using structural equation modeling and path analysis.

The results indicate that the use of social technologies with the factor loading of 0.57 has the highest impact on knowledge exchange and 0.61 on knowledge utilization. In addition, the results indicate that e-literacy with the factor loadings of 0.69 and 0.74 has the highest impact on knowledge exchange and knowledge utilization, respectively. In addition, the impact of social technologies with the factor loading of 0.82 has the highest impact on e-literacy.

One of the limitations of this study was the generalizability of the findings, which may be limited, as it is focused on one developing country. Also, the lack of full implementation of KM and the use of social technologies in the insurance industry may affect the obtained results.

To the best knowledge of the authors, this study is among the first of its kind which examines the impact of social technologies usage on the KM processes considering an important variable, i.e. e-literacy of employees.

Argues that the knowledge management process can be categorized into knowledge creation, knowledge validation, knowledge presentation, knowledge distribution, and knowledge application activities. To capitalize on knowledge, an organization must be swift in balancing its knowledge management activities. In general, such a balancing act requires changes in organizational culture, technologies, and techniques. A number of organizations believe that by focusing exclusively on people, technologies, or techniques, they can manage knowledge. However, that exclusive focus on people, technologies, or techniques does not enable a firm to sustain its competitive advantages. It is, rather, the interaction between technology, techniques, and people that allow an organization to manage its knowledge effectively. By creating a nurturing and “learning‐by‐doing” kind of environment, an organization can sustain its competitive advantages.

The debate about the differences between government, commercial and military knowledge management initiatives continues. Many consultants and vendors posit that the different objectives of government, military and commercial organizations require different philosophies, methodologies and technologies to achieve success. Many agree that technology is not the most important element of knowledge integration. However, they also agree that knowledge management technologies can enable knowledge integration and contribute to efficiencies in organizations. This study provides empirical research to contribute to this theoretical and practical discussion.

This study explores the perceived differences of the impact of knowledge management technologies between commercial, military and government users. Analysis of variance is used to compare means of responses among the three groups. This study applies hypothesis testing through a case study of an enterprise in the military sector, the United States Department of the Navy's (DON) Space and Naval Warfare Systems Command (SPAWAR).

The primary conclusion of this study is that there is a significant difference in expectations among contractors, government civilian and uniform military knowledge workers on expected efficiencies from KMTs. Contractors and uniform military have similar expectations. Government civilians have significantly lower expectations. Contractors have the highest expectations from KMTs.

There are a few studies that compare government and commercial sector knowledge management expectations and practices. In addition, case studies and anecdotal data provided by vendors and consultants communicate the value of knowledge management technologies. Still there is a need to grow the body of knowledge on the impact of KMTs on efficiency. To that end there is a growing commitment to empirical and conceptual research by scholars in knowledge management.

Implications for scholars and practitioners are posited.

There is still a lack of empirical research on the impact of knowledge management technologies on competitive advantage in government organizations. This study adds to understanding of this area of research.

Industry 4.0 technologies are promising to increase manufacturing companies' performance through the new knowledge that such digital technologies allow to create and manage within the firm boundaries and through customer interactions. Despite the great attention on the Industry 4.0 adoption paths, little is known about the relationships with previous waves of digital technologies, namely, information and communication technologies (ICTs), and how different groups of both types of technologies link to knowledge and its related performances.

The study employed a quantitative research design using a survey method. Submitting the questionnaire to entrepreneurs, chief operation officers or managers in charge of the operational and technological processes of Italian manufacturing firms, 206 respondents stated that their firm has adopted at least one of the seven Industry 4.0 technologies investigated.

The findings of the study highlight the positive relationship between ICT and Industry 4.0 technologies in terms of both intensity and groups of technologies (Web-based, Management and Manufacturing ICT; Operation, Customization and Data-processing 4.0), and how technologies affect knowledge-related performances in terms of products and processes, job-learning, product-related services and customer involvement.

This study is one of the first attempts to link groups of ICT to groups of Industry 4.0 technologies and to explore the effects in terms of knowledge-related performances as a measure of technology use. The study shows strong path dependency among ICT, Industry 4.0 and knowledge performance, enriching the literature on technological innovation and knowledge management.

This paper aims to present findings from a study conducted with non-profit organizations (NPOs) in Canada and Australia, focusing on the use of tools and technologies for knowledge management (KM). NPOs of different sizes and operating in different sectors were studied in two large-scale national surveys. The paper is useful to both practitioners in NPOs for understanding tool use for KM activities and to scholars to further develop the KM-NPO domain.

Two nation-wide surveys were conducted with Canadian and Australian NPOs of different sizes (i.e. very small to large-sized organizations) and operating in different sectors (e.g. animal welfare, education and research, culture and arts). An analysis of responses explores the use of tools and technologies by NPOs. Respondents identified the tools and technologies they used from nine pre-determined themes (quantitative data) plus an additional category of “other tools” (qualitative data), which allowed for free text responses. The quantitative data were analyzed using both descriptive and inferential statistical techniques and the qualitative data were analyzed using a thematic analysis approach.

Quantitative data analysis provides key findings including the popularity of physical, print documents across all NPO sizes and sectors. Statistical tests revealed, for example, there is no significant difference for the same-sized organizations in Canadian and Australian NPOs in the use of tools and technologies for KM activities. However, there were differences in the use of tools and technologies across different sizes of NPOs. The qualitative analysis revealed a number of additional tools and technologies and also provided contextual details about the nature of tool use. The paper provides specific examples of the types of tools and technologies NPOs use.

The paper has both practical and academic contributions, including areas for future research. The findings on the use of KM tools and technologies by NPOs contribute to the growing body of literature in the KM domain in general and also build the literature base for the understudied KM-NPO domain. NPOs will also find the paper useful in better understanding tools and technological implementation for KM activities. The study is unique not only in the content focus on KM for NPOs but also for the comparative study of activities in two countries.

The effect of the transition toward digital technologies on today’s businesses (i.e. Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that have examined this phenomenon has grown rapidly. However, systematizing the existing findings is still a challenge, from both a theoretical and a managerial point of view. In such a setting, the knowledge management (KM) discipline can provide guidance to address such a gap. Indeed, the implementation of fundamental digital technologies is reshaping how firms manage knowledge. Thus, this study aims to critically review the existing literature on Industry 4.0 from a KM perspective.

First, the authors defined a structuring framework to highlight the role of Industry 4.0 transition along with absorptive capacity (ACAP) processes (acquisition, assimilation, transformation and exploitation), while specifying what is being managed, that is data, information and/or (actual) knowledge, according to the data-information-knowledge (DIK) hierarchy. The authors then followed the systematic literature review methodology, which involves the use of explicit criteria to select publications to review and outline the stages a process has to follow to provide a transparent and replicable review and to analyze the existing literature according to the theoretical framework. This procedure yielded a final list of 150 papers.

By providing a clear picture of what scholars have studied so far on Industry 4.0 transition, in terms of KM, this literature review highlights that among all the studied digital technologies, the big data analytics technology is the one that has been explored the most in each phase of the ACAP process. A constructive body of research has also emerged in recent years around the role played by the internet of things, especially to explain the acquisition of data. On the other hand, some digital technologies, such as cyber security and smart manufacturing, have largely remained unaddressed. An explanation of the role of these technologies has been provided, from a KM perspective, together with the business implications.

This study is one of the first attempts to revise the literature on Industry 4.0 transition from a KM perspective, and it proposes a novel framework to read existing studies and on which to base new ones. Furthermore, the synthesis makes two main contributions. First, it provides a clear picture of the different digital technologies that support the four ACAP phases in relation to the DIK hierarchy. Accordingly, these results can emphasize what the literature has looked at so far, as well as which digital technologies have gained the most attention and their impacts in terms of KM. Second, the synthesis provides prescriptive considerations on the development of future research avenues, according to the proposed research framework.

The purpose of this paper is to distinguish and describe knowledge management (KM) technologies according to their support for strategy.

This study employed an ontology development method to describe the relations between technology, KM and strategy, and to categorize available KM technologies according to those relations. Ontologies are formal specifications of concepts in a domain and their inter‐relationships, and can be used to facilitate common understanding and knowledge sharing. The study focused particularly on two sub‐domains of the KM field: KM strategies and KM technologies.

”KM strategy” has three meanings in the literature: approach to KM, knowledge strategy, and KM implementation strategy. Also, KM technologies support strategy via KM initiatives based on particular knowledge strategies and approaches to KM. The study distinguishes three types of KM technologies: component technologies, KM applications, and business applications. They all can be described in terms of ”creation” and ”transfer” knowledge strategies, and ”personalization” and ”codification” approaches to KM.

The resulting framework suggests that KM technologies can be analyzed better in the context of KM initiatives, instead of the usual approach associating them with knowledge processes. KM initiatives provide the background and contextual elements necessary to explain technology adoption and use.

The framework indicates three alternative modes for organizational adoption of KM technologies: custom development of KM systems from available component technologies; purchase of KM‐specific applications; or purchase of business‐driven applications that embed KM functionality. It also lists adequate technologies and provides criteria for selection in any of the cases.

Among the many studies analyzing the role of technology in KM, an association with strategy has been missing. This paper contributes to filling this gap, integrating diverse contributions via a clearer definition of concepts and a visual representation of their relationships. This use of ontologies as a method, instead of an artifact, is also uncommon in the literature.

The purpose of this paper is to develop a new ontology for knowledge management (KM) technologies, determining the relationships between these technologies and classification of them.

The study applies NOY methodology – named after Natalya F. Noy who initiated this methodology. Protégé software and ontology web language are used for building the ontology. The presented ontology is evaluated with abbreviation and consistency criteria and knowledge retrieval of KM technologies by experts.

All the main concepts in the scope of KM technologies are extracted from existing literature. There are 241 words, 49 out of them are domain concepts, eight terms are about taxonomic and non-taxonomic relations, one term relates to data property and 183 terms are instances. These terms are used to develop KM technologies’ ontology based on three factors: facilitating KM processes, supporting KM strategies and the position of technology in the KM technology stage model. The presented ontology is created a common understanding in the field of KM technologies.

Lack of specific documentary about logic behind decision making and prioritizing criteria in choosing KM technologies.

Uploading the presented ontology in the web environment provides a platform for knowledge sharing between experts from around the world. In addition, it helps to decide on the choice of KM technologies based on KM processes and KM strategy.

Among the many categories of KM technologies in literature, there is no classifying according to several criteria simultaneously. This paper contributes to filling this gap and considers KM processes, KM strategy and stages of growth for KM technologies simultaneously to choice the KM technologies and also there exists no formal ontology regarding KM technologies. This study has tried to propose a formal KM technologies’ ontology.