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The evolution of Knowledge-Management (KM)-related literature has highlighted that Knowledge Management Systems (KMSs) have undergone massive changes in collaborative environments. Information-Systems-enabled KM seems to be the necessary response to the recent challenges posed by globalisation and technology dynamics to both large companies (LCs) and small and medium enterprises (SMEs).

This paper provides a systematic review about KMSs to offer an analytical overview of their role in supporting innovative forms of knowledge translation occurring in collaborative relationships. A sample of 129 papers was selected and analysed according to three perspectives: unit of analysis (LCs, SMEs), phases of the KM process (adoption, translation) and topic area (KM Practices, KM Tools, KMSs).

The findings highlight five literature gaps: (1) the role of KM practices supporting knowledge translation; (2) the impact of the alignment among KM practices, firm's complexity, dimension and culture on KM process; (3) the effect of KM tools on knowledge translation; (4) the variety of KMSs exploited in both LCs and SMEs; and (5) the alignment between organisational structure and information systems in KM context. Accordingly, 13 research questions were formulated.

The proposed research questions define a formal research agenda that could steer further research efforts about the KMS topic for improving the body of knowledge in the KM field. Scientific literature is currently lacking a contribution assessing the role of KMSs in supporting innovative forms of knowledge translation that occur in collaborative relationships.

Knowledge adoption is the key to effective knowledge exchange in virtual question-and-answer (Q&A) communities. Although previous studies have examined the effects of knowledge content, knowledge source credibility and the personal characteristics of knowledge seekers on knowledge adoption in virtual Q&A communities from a static perspective, the impact of answer deviation on knowledge adoption has rarely been explored from a context-based perspective. The purpose of this study is to explore the impact of two-way deviation on knowledge adoption in virtual Q&A communities, with the aim of expanding the understanding of knowledge exchange and community management.

The same question and the same answerer often yield multiple answers. Knowledge seekers usually read multiple answers to make adoption decisions. The impact of deviations among answers on knowledge seekers' knowledge adoption is critical. From a context-based perspective, a research model of the impact of the deviation of horizontal and vertical answers on knowledge adoption is established based on the heuristic-systematic model (HSM) and empirically examined with 88,287 Q&A data points and answerer data collected from Zhihu. Additionally, the moderation effects of static factors such as answerer reputation and answer length are examined.

The negative binomial regression results show that the content and emotion deviation of horizontal answers negatively affect knowledge seekers' knowledge adoption. The content deviation of vertical answers is negatively associated with knowledge adoption, while the emotion deviation of vertical answers is positively related to knowledge adoption. Moreover, answerer reputation positively moderates the negative effect of the emotion deviation of horizontal answers on knowledge adoption. Answer length weakens the negative correlation between the content deviation of horizontal and vertical answers and knowledge adoption.

This study extends previous research on knowledge adoption from a static perspective to a context-based perspective. Moreover, information deviation is expanded from a one-way variable to a two-way variable. The combined effects of static and contextual factors on knowledge adoption are further uncovered. This study can not only help knowledge seekers identify the best answers but also help virtual Q&A community managers optimize community design and operation to reduce the cost of knowledge search and improve the efficiency of knowledge exchange.

The purpose of this paper is to ascertain the current status of knowledge management (KM) adoption in the Indian manufacturing organizations and to develop a comprehensive research model to investigate the impact of enabling conditions for KM and the impact of KM on organizational performance through structural equation modelling.

A descriptive research design is adopted and primary data are collected through structured questionnaire. In total, 251 responses were obtained from the top- and middle-level managers and the structural relationships in the research model were tested using the partial least squares method.

The results revealed a moderate adoption of KM by the manufacturing companies. Also, a significant impact of the enablers on KM processes is observed. It is found that Indian manufacturing is operating in labour-intensive traditional methods and KM is still in its infancy. The impact of KM on the performance is moderate and contradicting the extant literature, the impact of KM on innovation is found to be weak.

The study is carried out in companies located in India and hence generalizing the findings should be done with caution. The sample is dominated by small- and medium-sized enterprises (SMEs) which may have implications for the findings.

As manufacturing companies in the developing countries such as India experience a greater competition in the globalized economy, adoption of KM will perk up the performance of the organizations. Practicing managers need to create a culture that facilitates KM adoption. Policy makers shall support SMEs in technology adoption, R&D, skill development and so on.

Previous KM studies in India are fragmented and analysed KM processes and KM enablers in isolation. Also, the holistic studies on KM literature focussed only on one or two facets of KM. A study which investigates the interactions between KM enablers, KM processes and organizational performance and innovation is scarce. The scarcity of empirical studies on KM and a dearth of understanding of the KM concept led to this maiden attempt to provide a comprehensive understanding of KM framework in the Indian manufacturing sector. A validated structured questionnaire for exploring KM practices in the Indian context is developed. Though the importance of the influence of external factors is theoretically emphasized, an empirical investigation is first of its kind.

With new hybrid working models in place post COVID-19, it is requisite that knowledge workers (KWs) stay agile. Knowledge-oriented leadership (KOL) can help employees with essential knowledge acquisition (KA) facilitating the journey toward hybrid work agility (HWA). This study, thus, aims to explore the impact of KOL and KA on HWA and reveal whether this effect stems uniformly from a single homogenous population or if there is unobserved heterogeneity leading to identifiable segments of agile KWs.

Data was collected through stratified sampling from 416 employees from 20 information technology enabled services companies involved in knowledge-intensive tasks. Partial least squares (PLS) structural equation modeling approach, using SMART PLS 4.0, has been applied to examine the effect of KOL and KA on HWA. Finite mixture PLS, PLS prediction-oriented segmentation and multigroup analysis have been used to identify segments, test segment-specific path models and analyze the significance of the differences in the path coefficients for unobserved heterogeneity. Predictive relevance of the model has been determined using PLS Predict.

Results indicate that KOL contributes to employees’ KA and HWA. A significant positive relationship is also reported between KA and HWA. The model has medium predictive relevance. A two-segment solution has been delineated, wherein independent agile KWs (who value autonomy and personal agency over leadership for KA) and dependent agile KWs (who depend on leaders for relational and structural support for KA) have been identified. Thus, KOL and KA play a differential role in determining HWA.

The authors’ major contribution to the knowledge body constitutes the determination of antecedents of HWA and a typology of agile KWs. Future researchers may conduct segment-wise qualitative analysis to delineate other variables that contribute to HWA.

Technological advances necessitate that knowledge-intensive industries foster agility in employees for strategic agility of the organization. For effecting agile adaption of an organization to the knowledge economy conditions, it is pertinent that the full potential of this human resource be used. By profiling HWA of KWs on the basis of dimensions of KOL and the level of their KA, organizations will be able to help employees adapt better to rapidly changing work conditions.

HWA is a novel concept and very germane in a hybrid working environment. To the best of the authors’ knowledge, this is the first study to examine the effects of the dimensions of KOL and KA in relation to HWA, along with an empirical examination of unobserved heterogeneity in the aforementioned relationship.

The purpose of this paper is to present a framework for cultivating virtual communities of practice in distributed environments. The framework is based on the integration of knowledge artifacts and wearable technologies.

The proposed knowledge artifact is based on the correlation between conceptual and computational tools for the representation of different kinds of knowledge.

In this way, it is possible to make deeper the collaboration between knowledge seekers and contributors within the community, given that seekers and contributors share, at least in part, design choices at the knowledge modeling level.

A practical application of the framework has been described, to show its originality with respect to traditional knowledge management systems. In particular, it has been demonstrated how lurking phenomenon inside communities of practice can be significantly reduced. To this aim, opportune indexes have been defined from existing ones in literature.

This study aimed to examine the similarities and differences between the ability to analyze the environment and exploit new knowledge (absorptive capacity) and the skills to generate value from innovation (appropriation). These fields have similar origins and are sometimes confused by practitioners and academics.

A review was conducted based on a full-text analysis of 681 and 431 papers on appropriation and absorptive capacity, respectively, from Scopus, Science Direct and Lens, using methodologies such as text mining, backward citation analysis, modularity clustering and latent Dirichlet allocation analysis.

In business disciplines, the fields are considered different; however, in other disciplines, it was found that some authors defined them quite similarly. The citation analysis results showed that appropriation was more relevant to absorptive capacity, or vice versa. From the dimension perspective, it was found that although appropriation was considered a relevant element for absorptive capacity, the last models did not include it. Finally, it was found that studies on both topics identified the importance of appropriation and absorptive capacity for innovation performance, knowledge management and technology transfer.

This is one of the first studies to examine in-depth the relationship between appropriation and absorptive capacity, bridging a gap in both fields.

The purpose of this paper is to overcome the confusion generated by a loose definition of the term knowledge artifact (KA) and its impacts on the design of technologies supporting their use.

The paper looks at the conceptual foundations underpinning the concept of KA that are related to the way in which knowledge is conceived, and revisits the outcomes of empirical investigations to shed light on different aspects of the use of KA in various settings.

The paper identifies a class of KAs and its role in relation to other classes of KAs, as it emerges from the empirical investigations.

The focus is on documental artifacts that are, however, widely used in different domains and organizations. New empirical work is needed to consider other kinds of artifacts and their role in knowledge-intense activities.

The paper aims to drive the attention of the designer on phenomena that hinder the acceptance, appropriation and effectiveness of the technologies they design to support a crucial aspect of collaboration.

The paper is original in the following ways: first, documenting the interplay between a kind of KA that is poorly considered in the literature with other classes of KAs; second, highlighting a set of principles that should guide the construction of computational KAs of a different nature.

This paper aims to review existing literature on the role of human resource management (HRM) practices in nurturing employee’s organisational commitment (OC), which subsequently promoting knowledge transfer (KT) within an organisation and propose a conceptual framework for future empirical research.

An extensive review of existing literature was undertaken in an attempt to build the conceptual model for KT.

The proposed conceptual framework illustrates the role of OC as a focal mediating mechanism in fostering KT. This paper identifies “high commitment” HRM (HCHRM) (e.g. staffing, job design, training and development, performance appraisal and reward system) as the factors influencing the development of OC, which subsequently affecting KT (i.e. knowledge sharing and application). Also, this paper integrates the potential moderating roles of leader-member exchange (LMX) between HCHRM practices-OC, as well as information and communication technology support in the OC-KT linkage into the proposed framework.

This paper presents a comprehensive view of fostering KT. However, the major limitation of this paper is that it remains at a conceptual level. Further empirical investigations would be helpful to test propositions, hence validating the proposed conceptual framework.

The proposed conceptual framework could serve as practical guidance for managers and/or practitioners in developing policies that will facilitate KT in business organisations.

While KT is often viewed as a single phenomenon, this paper considers the KT into two components (i.e, sharing and application) in accordance with the practice-based perspective on knowledge and behavioural approach to KT. In addition, the adoption of the general workplace commitment model in conceptualising KT could further validate its applicability in knowledge management research. Also, the integration of LMX as a moderator in the proposed framework could contribute to the scant research on LMX-related moderation models upon validation.

E‐business requires small and medium‐sized enterprises (SMEs) to seek both external and internal knowledge and to establish external and internal relationships with partners, such as customers and suppliers. This paper aims to describe a model that examines how knowledge management has an impact on the adoption of e‐business, particularly in SMEs.

This paper reviews literature to identify relevant measures through a structural equation model, which is validated through an empirical investigation of 107 SMEs in the Spanish telecommunications sector.

The results show that, in order to implement e‐business systems, companies need to provide and support the acquisition, sharing and application of knowledge as prior steps.

Other factors that have not been included in this study are also likely to affect knowledge acquisition.

Organisations that engage in learning from their customers and suppliers not only test the effectiveness of a new direction of e‐business, but also have the potential to design their e‐business around what customers truly need and want, and as such gain a sustainable competitive advantage.

These results have implications for e‐business managers in formulating policies and targeting appropriate organisational capabilities to ensure the effective adoption of e‐business systems.

This study aims to investigate the complex relationship between digitalization capability (DC) and radical innovation performance (RIP). In particular, this study sheds new light on the results of previous studies on the effects of DC on firm innovation.

The authors obtained questionnaire data from 271 IT managers of randomly selected high-tech Chinese firms. The data was used to empirically test the proposed hypotheses using hierarchical regression analysis.

The findings of this study reveal that DC has an inverted U-shaped effect on RIP. Knowledge accumulation (KA) has a partial mediating effect on the DC–RIP link. Knowledge integration capability (KIC) was found to moderate the DC–RIP relationship: the higher a firm’s KIC, the flatter the DC–RIP curve. Moreover, there is empirical evidence of the shape-flip phenomenon of the DC–RIP curve: when KIC > 1.82, the DC–RIP relationship is no longer an inverted U-shaped but presents as a U-shaped curve.

This study explores the DC–RIP relationship from the perspective of knowledge management, deepens the research scope of digitalization and lays the foundation for subsequent research.

This study provides potential explanations for contradictory views of the effect of DC on innovation in the existing literature by revealing the nonlinear relationship of DC and RIP and the important roles of KA and KIC in that relationship. The new insights into the role of KIC as a threshold for the DC–RIP link provide a direction for firms to control the pace of digital transformation.