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This study develops a conceptual framework and a series of instruments for capturing researchers' data-sharing practices in the social sciences, by synergizing the theory of knowledge infrastructure and the theory of remote scientific collaboration.

This paper triangulates the results of three studies of data sharing across the social sciences, with 144 participants in total, and classifies the confusion, “frictions” and opportunities arising from such sharing into four overarching dimensions: data characteristics, technological infrastructure, research culture and individual drivers.

Based on the sample, the findings suggest that the majority of faculty and students in social science research do not share their data because many of them are unaware of the benefits and methods of doing so. Additional findings regarding social scientists' data-sharing behaviors include: (1) those who do share qualitative data in data repositories are more likely to share their research tools than their raw data; and (2) perceived technical support and extrinsic motivation are both strong predictors of qualitative data sharing (a previously underresearched subtype of social science data sharing).

The study confirms the previously hypothesized nature of “friction” in qualitative data sharing in the social sciences, arising chiefly from the time and labor intensiveness of ensuring data privacy.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2020-0079.

Multinational small-to-medium-sized enterprises (SMEs) are increasingly participating in cross-border digital platforms – especially amid the COVID-19 pandemic. Accordingly, knowledge integration (KI) has become more and more important. In fact, it has been deemed by many as the key to organizational resilience. Given this burgeoning phenomenon, this study aims to explore a path for improving the resilience of multinational SMEs. Through this process, this study also finds a relationship between the KI processes associated with adopting global digital platforms and the resiliency of local–global businesses. Hence, in part, this paper also explores the effectiveness of all these mechanisms.

This study used the stepwise regression method in Stata 16.0 to analyze the direct effects of both horizontal and vertical KI processes on the resilience of local–global businesses. Additionally, t-tests were also used to compare the differences in coefficients between the mechanisms. The sample analyzed comprised data on multinational manufacturing SMEs in the Yangtze River Delta region of China who are using global digital platforms.

The KI processes of these firms, both horizontal and vertical, positively correlate to resilience. Horizontal KI processes more efficiently increase the resilience of global businesses, whereas vertical processes more efficiently increase the resilience of local businesses.

First, this study provides insights into how multinational SMEs can improve their resilience in a crisis. In addition to adding to the knowledge of KI processes, this expands the KM literature on pandemics. Second, by creating two KI processes based on global digital platforms and discussing their influence on resilience, this research deepens the understanding of affordance in the KM literature. Third, focusing on the KI research stream, the results shed light on how KI processes might occur and how firms develop their KI processes.

The purpose of this article is to examine, develop and establish understanding of the management of knowledge innovation (KI).

This article first describes the emergence of knowledge management (KM) as the next likely source of competitive advantage. It then explains why innovation management (IM) should not be viewed as mutually independent from KM, but instead should involve concepts on how to harness KM practices for executing IM processes. Next, it elaborates the definition of KI and describes the economic transition from “information revolution” to “knowledge revolution” – wherein various forms of knowledge‐based assets may be absorbed, assimilated, shared and utilised for innovation. It then turns to the role of knowledge creation and the value of knowledge capital in support of the significance of knowledge to innovation. Siemens, a highly successful company that strongly integrates KM and IM, is highlighted as an exemplar for discussion.

The article proposes an integrated management framework for managing KI in relation to perspectives on knowledge‐centred principles, knowledge‐sharing infrastructures and knowledge‐based initiatives. Finally, it concludes with the future challenges for organisations to exploit better the full benefits of KI.

The management issues raised in this article are expected to be of interest to industry planners, business executives and academic researchers.

Managerial quality improvement (QI) in terms of accountability management has become central to healthcare institutions. Yet, managerial QI is largely considered irrelevant by healthcare professionals. In consequence, the implementation of managerial QI implementation is hampered. Knowledge brokering is discussed as a means to foster the implementation of (QI) knowledge in healthcare. Yet, the benefit of knowledge brokering for managerial QI has so far been neglected. Therefore, this research asks how knowledge brokering can support the implementation of managerial QI.

This article builds on a single case study approach as a unit of analysis. Qualitative data collection comprises 21 semi-structured interviews at the managerial and clinical levels, 220 h of participant observation and document analysis.

This paper identifies three strategies of how brokers implement managerial QI into a hospital by means of knowledge brokering: prioritizing, obscuring and redefining. The strategies help to transform multiple external QI demands into one managerial QI strategy. Yet the strategies also reduce non-managerial perspectives on QI, which generates frustration among healthcare professionals.

The paper works out the benefits and costs of managerial knowledge brokering. This allows to spell out practical implications for managers, nurses and clinicians who have to deal with managerial QI in healthcare organizations.

This paper fulfils an identified need to study managerial knowledge brokering practices as a means to implement managerial QI into healthcare organizations. By doing that, the article adds to the body of research on knowledge translation in healthcare.

This paper aims to study the significant role of knowledge integration, which has a considerable influence on the growth of civilisation and modernisation. It identifies the essential processes in knowledge integration for establishing common understanding, thus enabling long-term sustainability in a dynamic environment that requires continuous adaptability. By understanding the essential processes of knowledge integration, the timely creation of new knowledge is ensured as a solution for critical problems; thus enhancing past and present knowledge.

The paper undertakes a comparative analysis of research in the literature on knowledge integration and derives the essential processes in knowledge integration from existing theories.

Generally, there are various interpretations of knowledge integration that complicate the understanding and implementation of knowledge integration in many organisations. This study extracts the implicit nature of knowledge integration by explicitly proposing its essential processes, namely: identification, creation, assimilation and evaluationto identify the core elements necessary for any initiative in knowledge integration.

A number of barriers and dependencies exist in knowledge integration. These are categorised as individual, structural and ontological factors.

The utilisation of the essential processes of knowledge integration increases the speed of knowledge creation through the elimination of redundant conventional processes. This indirectly establishes a generic form of knowledge integration, allowing effective communication among knowledge practitioners.

The paper’s originality lies in the explicit proposal of the essential processes of knowledge integration, referred to as identification, creation, assimilation and evaluation. Furthermore, this paper highlights the potential of essential processes to act as an ontology that can bridge the real and virtual world of knowledge integration implementation through a generic understanding of the knowledge integration concept among practitioners.

This paper aims to investigate knowledge creation in the context of knowledge-intensive business processes (KIBPs) and seeks to identify the challenges and opportunities associated with this phenomenon.

This study used a grounded theory approach to develop a framework based on 30 interviews across three different types of organizations.

The findings argue knowledge creation in the context of KIBP is negatively influenced by the lack of support for process-competency requirements within knowledge-intensive (KI) processes. These process-competency requirements center on the ability to effectively engage with the process, develop reasoning skills to handle KIBP and gain a higher-level perspective of the KIBP within the organization.

For practitioners, the opportunity exists to explore their organizational influences on the process-competencies to reduce the negative impact of any gaps identified within their KIBPs.

Although previous studies explore knowledge creation in a broad sense, this paper examines the phenomenon specifically within the context of KIBPs and analyze the potential for organizations to enhance their knowledge creation initiatives in this context.

Agenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within consultant-supplier interfaces in the architecture, engineering and construction (AEC) industry seem to be vague, loose, incidental and insignificant. This study examines factors affecting knowledge networking intention (KNI) within construction service supply chain (CSSC) networks.

Data analysis was conducted on a quantitative survey of 161 consulting professional service firms in Tanzania, employing stepwise regression modelling as the statistical technique.

The results indicate that three types of knowledge inertia (KI) exert varying effects on KNI. While both procedural (PI) and learning inertia (LI) negatively impact KNI, experience inertia (EI) has no impact on KNI. In addition, knowledge governance (KG) mechanisms are found to strongly strengthen and leverage the negative effects of PI and LI on KNI and the positive link between EI and KNI within outbound and heterogeneous CSSC actors, with formal KG having greater leverage than informal KG.

The study offers guidance on how managers of PBOs should strategically orchestrate knowledge governance mechanisms within CSSC networks to leverage KI behaviours.

Current literature on KNI, KI and KG within CSSC networks offers a limited understanding of how KI behaviours influence KNI of project-based organizations (PBOs) in tapping vibrant outbound peripheral knowledge. The research presents two major original contributions. First, the empirical evidence contributes to deepening the current understanding of how heterogeneous external knowledge within consultant-supplier interactions is negatively influenced by KI. Lastly, the study suggests formal and informal knowledge governance strategies for managers on how to counteract KI forces, thus extending the theoretical debate on KNI, KI and KG literature.

The purpose of this paper is to propose an intelligent infrastructure for the reconciliation of knowledge management and e‐collaboration systems.

Literature on e‐collaboration, information management, knowledge management, learning process, and intellectual capital is mobilised in order to build the conceptual framework.

This paper presents a conceptual framework including a set of concepts and guidelines that can be used to specify an efficient knowledge infrastructure for networked enterprises.

Results from this study uphold the emerging research area of knowledge management in e‐collaboration systems. The proposed framework derived purely from theory and conceptual analysis; more work needs to be done in order to validate and experiment with the framework. Future research remains be carried out to apply the framework on a broader scale, and in particular to determine its applicability relative to various collaboration patterns and current technology development.

Results from this study are important for networked enterprises, especially knowledge‐intensive enterprises, who intend to build e‐collaboration systems to organize their knowledge base and to share it with their partners.

This paper is one of the first to address collaborative knowledge management in e‐collaboration systems with a focus on the promotion of learning process and the creation of intellectual capital.

This study aims to use social media data mining to revitalize and support existing urban infrastructure monitoring strategies by extracting valuable insights from public opinion, as current strategies struggle with issues such as adaptability to changing conditions, public engagement and cost effectiveness.

Twitter messages or “Tweets” about public infrastructure in the Philippines were gathered and analyzed to discover reoccurring concerns in public infrastructure, emerging topics in public debates and the people’s general view of infrastructure services.

This study proposes a topic model for extracting dominating subjects from aggregated social media data, as well as a sentiment analysis model for determining public opinion sentiment toward various urban infrastructure components.

The findings of this study highlight the potential of social media data mining to go beyond the limitations of traditional data collection techniques, as well as the importance of public opinion as a key driver for more user-involved infrastructure management and as an important social aspect that can be used to support planning and response strategies in routine maintenance, preservation and improvement of urban infrastructure systems.

The purpose of this paper is to propose an inclusive research model to overcome the single perspective issues of the previous research which were looking at either on knowledge management (KM) activity, information technology (IT) applications or information infrastructure capability (IIC) independently.

This paper reviewed and categorised five knowledge management (KM) frameworks: first, KM foundation studies; second, resource-based view studies; third, IIC studies; fourth, competitive advantage (CA) studies; fifth, organisational information processing theory studies to propose research model. Case studies based on face-to-face interviews were conducted to empirically analyse the proposed research model.

An inclusive research model was suggested to redress the key limitation of past studies in this research field.

Since Asian countries are at present heading for the creation of a knowledge economy, the present study is important to assist government and researchers to develop the most suitable information infrastructure for effective KM in the organisation. The research model proposed by the present study can also become a key reference to the governments and researchers in other developing countries towards the creation of knowledge economy.

The model proposed by the present study will help organisations to examine the performance of their current information infrastructure towards developing new business processes, techniques and decisions for effective KM in the organisations.

The present study is one of the pioneer studies that integrating important IICs such as the integrating capability, data management capability, security capability, utility capability and collaborating capability in the research framework to assist knowledge-based companies to enhance current KM practices and attain long-term CA.