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This study aims to determine the contributing factors to technical knowledge valuation at the related quadruple levels of commercialisation, including the idea, benchtop technical knowledge, prototype technical knowledge and commercialised technical knowledge, and then classify the factors by the valuation objectives.

The study method is descriptive-causal, and documentation tools of published scientific research articles in authentic local and international journals were used to extract the contributing factors to technical knowledge valuation. Moreover, the Likert spectrum-based questionnaire is used to determine the weight of each determined component. On the other hand, hierarchical analysis is used based on the extracted results from the distributed classification questionnaire among scholars to determine the allocable weight of each component.

The results indicate that at the idea step, the highest ranks among the contributing factors to technical knowledge valuation are for the indicators of innovation rate enhancement, novelty, creation of new products, profitability growth and dependence decline. In the benchtop technical knowledge step, the indicators of profitability growth, product quality enhancement, novelty, production risk drop, innovation rate enhancement, production costs drop, product price competitiveness and independence from rare machinery have the highest impact coefficients on valuation. Moreover, the prioritisation of factors in prototype technical knowledge shows that the indicators of productive risk decline, infrastructure, decrease in product delivery time, productivity growth and profitability growth are the most critical factors in technical knowledge valuation. Finally, profitability growth factors, production cost drop, productive risk drop, creating a new product, product price competitiveness and dependence decline determine the most valuable technical knowledge in the commercialisation phase.

The most salient innovation of the study involves the development levels of technical knowledge in the commercialisation cycle for determining the contributing factors to technical knowledge valuation and using multivariate decision-making methods to classify the so-called factors. The major limitation can be the context of the study because the paper was carried out by Iranian assessors and specialists using the experiences, opinions and approaches of opinion leaders based on the dominant social, cultural and accounting background of a developing country, not a developed one.

This paper is applicable because it elucidates the technical knowledge valuation factors for managers and owners of technological and knowledge-based companies to facilitate value determination and register the technical knowledge of innovative products in financial statements for the logical presentation of available intangible assets in the economic unit. Besides, in the high-tech area, collecting information from the contributing factors to technical knowledge valuation provides an opportunity to support intellectual property rights and facilitate transaction processes. Finally, in legal areas, in cases of breaching intellectual property rights relative to technical knowledge, the determination of technical knowledge value provides a solid basis for estimating the damage rate.

Inter-organizational knowledge sharing systems (IOKSS) are crucial for scientific, social and economic development especially in knowledge-intensive sectors. Knowledge sharing processes and systems will not only be challenged by individual and organizational factors but also by social, technical and political inter-organizational factors. This paper aims to investigate the impact of knowledge worker, peer, IOKSS, organization and sector factors on knowledge workers’ intention to share knowledge through IOKSS. Knowledge workers are the key stakeholders that enable the survival of IOKSS.

Data were collected, through a questionnaire, from knowledge workers in the education and the health sectors.

This study found that the human factors (related to knowledge workers and their peers) have significant direct impact on intention to share knowledge through IOKSS. Other factors, such as IOKSS system, organization and sector factors showed indirect impacts on knowledge workers’ intention to share knowledge through IOKSS. Such investigation can be very valuable for developing countries as technological innovations such as IOKSS can be crucial for training and building human resources, and national knowledge management.

Little is empirically known about the enablers of sharing knowledge in systems that connect organizations in horizontal linkage in a specific sector or industry. The study also adds value to under investigated region.

This paper aims to answer calls for more research on how contextual factors influence the effectiveness of knowledge reuse.

The findings are based on an in-depth case study conducted in the sales department of a large white goods company in Australia.

Six contextual factors identified include purpose, time pressure, language, accessibility, author and date. A mismatch in purpose between knowledge creation and reuse is most likely to reduce knowledge reuse effectiveness. Time pressures may lead to an increase in errors associated with search question definition as well as knowledge search and selection, while unfamiliar language is likely to lead to misinterpretations of content. Knowledge accessibility issues are of particular concern in time-sensitive situations. Authorship and creation date information may facilitate knowledge reuse by allowing consumers to filter unwanted knowledge.

This study contributes to knowledge management theory by providing an exploration of the ways in which contextual factors influence knowledge and reuse effectiveness, and of the possible relationships between those factors. The paper also provides knowledge management practitioners with tangible guidelines on how to increase the effectiveness of organizational knowledge reuse.

The objective of this study is to investigate the factors of two sub-processes – knowledge donating and knowledge collecting – of knowledge sharing in Hong Kong higher education context. This study examines the individual factors, organizational factors and technology factor of knowledge sharing. Individual factors include enjoyment in helping others and knowledge self-efficacy while organizational factors refer to the top management support, organizational rewards and organizational culture. The use of technology system is proposed to be the technology factor.

Based on the literature review, this study develops a structural model representing the impact of six latent variables on knowledge donating and knowledge collecting processes Data from a questionnaire survey of 166 respondents from academics from Hong Kong higher education sector was used to analyze the model. PLS-SEM was adopted in this study.

The result of the data analysis suggests enjoyment in helping others has a positive impact on both knowledge donating and knowledge collecting. For organizational factors, a trust and collaborative culture enhance both the sub-processes. The technology factor only contributes to the knowledge donating process. Several practical implications are provided to high education leaders, for instance, by establishing a trust and collaborative environment, academics are more eager to donate and collect knowledge.

This paper provides insights for researchers to further understand how individual, organizational and technology factors affect two sub-processes of knowledge sharing. On the practical side, this study validated several critical factors to successful knowledge donation and knowledge collection.

This research is aimed at examining the relationships between knowledge factors and the knowledge creation process in construction projects, paying particular attention to on‐site work.

The design of this research is cross‐sectional and uses a blended methodological approach of both quantitative and qualitative methods. The research model includes the following variables; six knowledge factors: vision of leadership, trust, collaboration, incentives, information technology (IT) support, and individual competencies; and four knowledge creation processes: socialization, externalization, combination, and internalization. Survey data from 70 construction projects in Thai construction firms, obtained by means of a questionnaire developed by the researcher, were collated and analyzed. As a means of testing the model, regression analysis techniques were used to analyze the data.

Consistent with previous empirical evidence, three knowledge factors affected the knowledge creation process: incentives, IT, and individual competencies. It was noted that these factors overlay the knowledge creation process at all execution stages of on‐site construction.

This research is expected to contribute to a better understanding of important knowledge factors and knowledge management research in Thai construction that is still at an infancy stage. In order to build a knowledge creative culture, construction project executives need to support and maximize the value of human assets (individual competencies). Furthermore, facilitating IT‐supported knowledge management in construction projects needs to be considered and emphasized needs to be placed on productive work and gain a competitive advantage.

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.

The latest models on knowledge management (KM) recognize four phases for its practice: acquisition, storage, distribution, and knowledge utilization. The KM is characterized as a multidisciplinary discipline, involving both technical and social aspects. Therefore, the purpose of this research is both social and of coordination, aiming to identify contextual factors, internally developed in the organizations, which support the KM process in the Brazilian companies in the automotive sector.

To achieve the research purpose, a quantitative research method was employed, based on a survey research in the automotive sector.

The results point to the existence of eight contextual factors that support the KM process in the organizations. These factors are mainly related to the human being, responsible for the retention and transformation of primary knowledge, and the development of an organizational context that encourages the learning process through the culture and structure designed for this purpose.

One of the limitations is that the study is based on constructs derived from a theoretical background, however it does not offer an empirical test to validate the selected constructs. Future studies could create a metric to evaluate the constructs' consistency and use regression analysis to validate them. The second limitation relates to empirical research. The survey achieved a return of 78 companies and a larger sample could provide more robust data.

Practitioners need to take cognizance of the fact that KM process must not be confused nor focused on IT deployment. The development of an organizational context is much more complex and important to the success of KM. By characteristics of mapped factors, it is possible to conclude that KM process is focused on the development of individuals. It is from their employees that the organization promotes the knowledge exploitation in problem solving activities and incremental improvements, and knowledge exploration, rebuilding the competences to innovate the processes.

The main contribution of this paper is to identify the factors that companies in the Brazilian automotive industry must develop in order to promote KM. Furthermore, the research shows the relationship between these factors and KM process.

Although researchers have demonstrated a significant interest in motivation factors of knowledge collaboration, previous studies have seldom explored the dynamic interrelations in virtual communities of practice (VCoPs) over time that involve the iteratively melding of knowledge collaboration motivations and behaviours. Therefore, this study aims to unveil the interactive dynamics amongst motivation factors of knowledge collaboration in VCoPs from a perspective of system dynamics (SD).

According to the SD method proposed by Forrester, this paper develops an SD model of motivation factors of knowledge collaboration in VCoP by identifying interactions of motivation factors based on behavioural theories, validating the proposed model by structural tests and behaviour tests involving historical data from 939 Wikipedians and analysing the impacts of policy regulations on knowledge collaboration behaviours in Wikipedia.

In accordance with current literature, this study categorises intrinsic, extrinsic and community motivation factors of knowledge collaborations in VCoPs. According to the SD method, this study develops and validates an SD model to reveal interesting non-linear dynamics of these motivation factors which are neglected by prior studies. This study also conducts dynamic what-if analyses to suggest policy regulations to promote knowledge collaborations in the context of Wikipedia.

Different from prior empirical studies which normally take on a snapshot of motivation factors, this study discloses a dynamic picture of their interrelations by unfolding their behaviour patterns over time. The main contribution of this paper is to develop and validate an SD model of motivation factors of knowledge collaboration in VCoP and to reveal and elaborate their dynamics for policy regulations in VCoPs based on simulation results.

To date, critical success factors (CSFs) for implementing knowledge management (KM) in small and medium enterprises (SMEs) have not been systematically investigated. Existing studies have derived their CSFs from large companies' perspectives and have not considered the needs of smaller businesses. This paper is aimed to bridge this gap.

Existing studies on CSFs were reviewed and their limitations were identified. By integrating insights drawn from these studies as well as adding some new factors, the author proposed a set of 11 CSFs which is believed to be more suitable for SMEs. The importance of the proposed CSFs was theoretically discussed and justified. In addition, an empirical assessment was conducted to evaluate the extent of success of this proposition.

The overall results from the empirical assessment were positive, thus reflecting the appropriateness of the proposed CSFs.

The set of CSFs can act as a list of items for SMEs to address when adopting KM. This helps to ensure that the essential issues and factors are covered during implementation. For academics, it provides a common language for them to discuss and study the factors crucial for the success of KM in SMEs.

This study is probably the first to provide an integrative perspective of CSFs for implementing KM in the SME sector. It gives valuable information, which hopefully will help this business sector to accomplish KM.

This study aims to empirically explore the key elements for classifying and differentiating knowledge‐intensive organizations (KIOs) from other traditional organizations.

The study's conceptual framework is based on the prevailing propositions from the literature on KIOs and is explored using a survey of knowledge management (KM) professionals, a purposely selected community of practice (CoP).

The results suggest that organizations can generally be divided into two groups – KIOs and non‐KIOs, and there appear to be some clear factors that differentiate KIOs from non‐KIOs according to the CoP.

This study lays a foundation for the systematic development and evaluation of KIOs and their KM practices. The results from this study can stimulate issue formulation and hypothesis generation for investigation by KM researchers and academics. The study focused on a few types of organizations drawn from the literature which may limit the generalizability of the results. However, restricting the study to the core organizations identified in the literature provided the authors with leverage for an in‐depth empirical exploration of these organizations' characteristics.

To a KM practitioner this study aids in delineating the different elements to keep in mind when designing or evaluating KM practices in KIOs.

This paper is among the early works to empirically explore KIOs. It advances a framework of how to recognize the knowledge‐intense factors defining KIOs, thereby providing the required foundation for analyzing KM practices in KIOs. Also by identifying the core dimensions defining knowledge intensity, the study underscores the importance of the relations between workers, the community (organization) of which they are members, and the conceptions the workers have of their activities as presented in the theory of organizations as activity systems. While the importance of knowledge has often been demonstrated within work groups or for particular organizational processes, this study has demonstrated a useful foundation for analyzing an organization as a whole.