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The purpose of this paper is to illustrate how knowledge takes effect in different software development methodologies by relating them to different knowledge cycles.

The results were find by conducing a general review about the topics of knowledge cycles and software development methodologies.

All software development methodologies have knowledge cycles. In Waterfall methodology, the cycle followed is I-Space. For “code and fix,” there is a parallel with March’s cycle. Scrum shows a parallel with SECI cycle. Among the methodological options, results show there an increase in hierarchy, documentation, processes and explicit knowledge.

Identified parallels of each methodology with knowledge cycles; established which Scrum artifacts are performed at each stage of SECI, which Waterfall steps correspond to I-Space phases and which activities in “code and fix” deal with exploration and exploitation of knowledge; and features shown increase or decrease according to the adoption of each methodology.

Results help knowledge sharing implementations and foster inter-team knowledge sharing, with the identification of the correct methodology-cycle match and the personalization of the strategy for each team based on the adopted methodology. Training for knowledge initiatives can be improved by determining how knowledge-sharing activities are incorporated on the determined series of actions established by the methodologies adopted on the firm.

The identification of how knowledge is generated and shared among teams in each methodology, the optimum pairing of the methodology and the parallels with the other, and the differences that emerge from the adopted knowledge cycle show that software projects are embedded in a knowledge cycle.

This paper aims to uncover the combinations of knowledge sharing mechanisms that organizations in a science and technology park in Brazil use to share managerial and technical knowledge.

This research adopts a qualitative approach that uses a fuzzy set qualitative comparative analysis to analyze data that are gathered from 51 managers of organizations in a science and technology park.

The results show that knowledge sharing happens regardless of the type of knowledge. There are more alternative paths that lead to knowledge sharing than to its absence. Regarding the type of knowledge shared, there are more alternative configurations that lead to managerial knowledge sharing than to technical knowledge sharing. Only the older organizations in the science and technology park abstain from knowledge sharing.

Due to the qualitative nature of the study, no generalization is possible. Additionally, the study’s limitation is that it involves organizations from a single science and technology park.

The results offer managers of organizations in science and technology parks to choose from alternative combinations of mechanisms to either boost their knowledge sharing or to promote knowledge protection.

The paper provides an original contribution by identifying the combinations of mechanisms that organizations in a science and technology park use that leads to the sharing of specific knowledge types. The findings also identify the combination of mechanisms that older organizations use that prevents them from sharing knowledge.

This study aims to resolve contradictions in the literature regarding the relationship between knowledge sharing (KS) and absorptive capacity (AC). The authors analyze the reasons for which KS has been interpreted as an antecedent and those for which it has been seen as a consequent of AC.

The study uses a systematic review of the literature to identify the arguments supporting the relationships between the constructs and propose a model. Additionally, the hypotheses were tested using SEM to assess the proposed model.

The findings reveal the nature of the relationship between KS and AC. Suggesting AC is bi-dimensional, consisting of potential AC and realized AC, while the relationship between these two dimensions depends on KS.

This study provides consistent theoretical grounds for future empirical research. The study findings demonstrate KS provides a real contribution towards AC, validating the previous literature on the impact of KS antecedents on realized AC. Additionally, the authors provide evidence to suggest knowledge donation is an output of the AC process, thus generating a debate on the nature of knowledge donation (requested vs unrequested), which raises interesting research questions to be addressed in the future. As a limitation, empirical data was only collected in the context of software development in two countries.

The results elucidate the central role of knowledge collection within AC. For managers, the importance of the role of knowledge collection to fully benefit from AC and exploit knowledge is highlighted.

The research design is original in that it combines a systematic and integrative literature review to the ground and propose hypotheses with empirically testing of the emerging model. The study clarifies the relationship between KS and AC, providing evidence to show knowledge donation is an output of the AC process. The benefits of this study can be seen at the team and firm-level.

The purpose of this paper is to explore the relations among knowledge sharing (KS), intellectual capital (IC), absorptive capacity (AC), innovation (IN) and organizational performance (OP).

This paper empirically tests a model that uses structural equation modeling (SEM) based on a partial least squares (PLS). The sample is composed of 351 Brazilian and 135 Portuguese enterprises. They are micro, small and medium enterprises.

The results show that: the relation between KS and AC is partially mediated by IC; the relation between IC and IN is partially mediated by AC and the relation between KS and IN is mediated by AC and IC or both. There are relations among KS, IC, AC, IN and OP.

The study does not control for industry effects and technological differences among the firms.

The use of KS mitigates the loss of knowledge associated to employees' retirement or job changes. The knowledge appropriation by the organization (turning human capital (HC) into structural capital (SC)), the knowledge achieved from connections (relational capital, RC) and the trust embedded in an organization's relation with employees are important for AC and IN. Moreover, KS can positively influence all elements of IC. OP depends directly on IN and indirectly on the others constructs.

This study is relevant because it explores the relations among KS, IC, AC, IN and OP in one model. Moreover, it focuses on small and mid-size enterprises (SMEs) with data from two countries.

Literature addressing psychosocial factors’ relation with knowledge sharing in healthcare organizations is still scarce, being of extreme shortage in specific environments, such as healthcare research centers. This paper investigates the impact of psychosocial factors as antecedents of knowledge sharing between healthcare research peers in such environments.

By expanding on the theory of reasoned action (TRA), the authors follow a mixed-methods design to study the relation between perceptions of psychosocial factors and knowledge sharing in healthcare researchers. A quantitative approach uses a structural equation modeling (SEM) to test the links in an original model. A fuzzy-set qualitative comparative analysis (fsQCA) identifies alternative configurations that lead knowledge sharing intention and its absence as well as the knowledge sharing behavior and its absence considering additional sample characteristics.

Findings show evidence of the proposed psychosocial antecedents' effect on knowledge sharing. Additional configurations of causal conditions that lead to the presence or absence of the intention and knowledge sharing behavior are discussed, with emphasis on both psychosocial antecedent configuration and sample characteristics.

This study identifies the influence of both psychosocial and team characteristic aspects leading to knowledge sharing behavior between healthcare researchers. The importance of a rich social network lying on trust is vital for a sharing environment inside research environments. Given the complex nature of behavioral intentionality, additional findings allow an articulation between individual characteristics, substantiating the proposition of complex configurations between antecedents that hints for team configuration strategies and managerial practices in healthcare research teams.

Knowledge management (KM) is widely adopted by organisations to improve their performance and make informed decisions. Prior research has confirmed that Information Systems (IS) play a critical role in effective KM. The purpose of this study is to examine the existing literature on the role of cloud-based KM systems (C-KMS) in small- and medium-sized enterprise (SMEs) by understanding its impact on the five KM processes: knowledge acquisition, creation, storage, sharing and usage.

This study conducted a systematic literature review by examining 133 journal articles and 24 conference papers from 2010 to 2021 on the role of cloud computing in KM for SMEs.

This study revealed that there are numerous empirical analyses on KM processes and tools in SMEs; however, only few studies demonstrate how the whole gamut of KM processes can adopt cloud computing in SMEs. Therefore, SMEs are ineffective at KM with limited IS intervention. This paper offers a proposition on how C-KMS can impact all five KM process, thereby increasing its effectiveness of KM in SMEs. This study analysed the benefits of C-KMS that brings to SMEs in terms of availability, scalability, reliability, security and cost.

This systematic review is restricted to certain databases (ScienceDirect, Sage journals, Scopus and Emerald Insight) and specific IS conference proceedings to source articles. The selection of search criteria and time frame is based on this study’s assessment and choice. This study adds value to our understanding of the role of KM in SMEs, and it reinforces the role of cloud computing in effectively managing knowledge in SMEs. The proposal of C-KMS for the enhancement of KM has significant implications for SMEs to effectively use knowledge for their survival and superior performance.

This study suggests three practical implications. First, adopting and using C-KMS provide a strong foundation to manage knowledge for SMEs in a cost-effective way. Second, C-KMS improves the effectiveness of KM by increasing availability of knowledge artifacts, which in turn aids SMEs’ growth. Third, C-KMS is useful to codify SME’s knowledge, and accordingly supports employees to acquire and use knowledge based on their requirements.

This study discussed C-KMS with contemporary social issues, such as the COVID-19 pandemic challenges for SMEs and demonstrated how C-KMS can support SMEs to handle such crises by managing knowledge effectively.

This research highlights the importance of the implementation of a C-KMS for the enhancement of KM in SMEs. The review provides empirical evidence on the challenges faced by SMEs regarding KM, as they often only have enough resources to focus on a single KM process, predominantly knowledge sharing. Consequently, a holistic approach to KM cannot be realised by SMEs. In this context, the findings of this study offer theoretical and practical insights into the role of cloud computing by addressing the challenges of KM in SMEs.