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The purpose of this paper is to explore shared workspace and professional learning community (PLC) interactions in schools. The collaborative culture and PLCs were parts of the school culture. The collaborative culture of each school was designed to ensure teachers share intellectual and physical contributions in learning to investigate the impact of teaching and learning on students. The workspace overlap for teachers was part of the culture of each school and a function of the PLC interactions. PLCs provided opportunities for collaboration and therefore opportunities to share intellectual and physical workspace.

A grounded theory research approach was taken to this investigation, primarily because of the common experiences of educators in schools (Creswell, 2013). Collaborative process between educators in schools was qualitatively investigated as a function of PLC interactions. In all, three communities, five schools, and 70 educators were purposefully selected to participate. Data were collected, including semi-structured interviews, observations, artifacts, and researcher field notes.

The workspace interactions include shared leadership, decision making, teaching and learning practice, and accountability measures. Attributes and characteristics of effective collaboration and PLCs greatly affect the outcomes of PLCs. An emergent framework is provided that includes attributes of effective collaboration and the characteristics of effective PLCs that merge into intellectual and physical shared workspace.

This paper focuses on the connections between PLCs, school culture, and professional educator collaboration. This paper proposes to provide a unique model called the shared workspace. The model combines the intellectual and physical aspects of group members to ensure the effectiveness of collaborative systems that promote quality practice in schools through functional PLCs as part of a positive school culture. This paper further offers extensions to the shared leadership concept (Carpenter, 2015) in how schools, administrators, and teachers should work together, thus more collaboratively through a continuous improvement process of the school as a workplace and a learning organization.

For the past two decades, intellectual capital has played an increasingly important role in firm performance around the world. However, the importance of intellectual capital in Vietnam, and especially in the banking sector, has largely been ignored in the literature. This study is the first to examine the effect of intellectual capital on bank performance in Vietnam. In this paper, intellectual capital is decomposed into three components: (1) capital employed efficiency, (2) human capital efficiency and (3) structural capital efficiency.

The paper uses an unbalanced panel dataset on 14 listed banks in Vietnam for the period 2009–2018 for which required data are available, with the generalized method of moments.

The findings indicate that intellectual capital contributes significantly and positively to bank performance in Vietnam. In addition, bank performance is driven primarily by capital employed efficiency. Although human capital efficiency appears to contribute positively to bank performance, the effect on bank performance appears to be marginal.

The literature review indicates that the effect of intellectual capital on bank performance is mixed. This effect can be positive or negative or even show a U-shaped relationship. The effects of intellectual capital on firm performance are not consistent, depending on factors such as the quantitative technique and sample used. As such, this paper extends analysis of Vietnam to cover the 10-year period from 2009 to 2018. The literature review reveals that the contribution of intellectual capital to bank performance has largely been ignored in the context of Vietnam. Studies have been conducted on the Gulf countries, such as Buallay et al. (2020). However, because the context in Vietnam differs from that of the Gulf countries, their experience might not be relevant to Vietnam. Vietnam is an emerging market in Southeast Asia, whereas Gulf countries have high income levels. So, it is necessary to examine direct evidence on Vietnam.

This paper aims to comparatively examine the impact of the intellectual capital performance on the financial performance of Islamic and conventional banks in the Gulf Cooperation Council (GCC) countries by classifying intellectual capital as human capital, knowledge creation and innovation processes.

Along with the theoretical discussion in essentialising the rationale for intellectual capital formation through Islamic norms, the empirical analysis is formulated through the data generated by disclosure analysis using a panel of five GCC countries examining 408 annual reports from 19 Islamic and 23 conventional banks covering 2010–2019 period. In the analysis of the generated data, both fixed and random effects regression models are used.

The findings of this paper suggest that Islamic banks perform better than conventional banks in creating intellectual capital through knowledge creation, human capital and intellectual contribution. While the intellectual capital disclosure index and its pillars are significant for Islamic banks, these variables are not significant for the conventional banks in the GCC countries.

Considering that disclosed information may not reflect actual experience and performance, factual data could also be used to overcome potential shortcomings of disclosure generated data.

This paper demonstrates that Islamic banks in the GCC have been successful in their intellectual capital performance, whereby they seem to be performing in line with the Islamic ontology. In addition, the disclosure items used in this paper may guide the Islamic and conventional banks in the process of preparing their annual reports. Importantly, they may use these items as benchmarks in further developing their intellectual capital performance for better financial performance.

This paper essentialises knowledge development and innovation for Islamic banks through the Islamic cognitive system rather than as a requirement of the market mechanism. Secondly, a comparative analysis between Islamic and conventional banks is presented by acknowledging the peculiarities of Islamic banks in the methodology and disclosure index.

This paper examines the leading publication trends including the extent and impact of intellectual capital research in the Journal of Intellectual Capital (JIC) over a two-decade period (2000–2020). The bibliometric analysis offers the description of publications trends such as key authors, articles, cited references, institutions and countries— in other words the extent and impact in the field. This paper also presents the knowledge structure (including conceptual, intellectual and social structures) of JIC, that is prominent themes, co-citation and bibliographic networks.

In order to achieve research objectives, we collected the bibliographic information of the articles published in JIC for the period 2000 to 2020 from the Scopus database on 11.04.2020. The bibliographic information of 737 documents were analysed using to open source analysis tool, that is bibliometrics package in r software and VOSviewer. These tools were used to create the graphical visualization of bibliographic data on basis of co-occurrence, co-citation and bibliographic coupling.

The results show that the journal is progressing in terms of publication quantity and reputation in the field. To date, 737 documents have been published in JIC, which includes 659 research articles, eight editorials, seven notes and 63 review papers. This paper also portrays the author impact list in terms of most impactful articles published in JIC. Country-wise Italy, Australia, and USA exert maximum influence on JIC scholarship.

Bibliographic analysis offers a comprehensive understanding of past trends and presents the future direction of a journal.

The purpose of this paper is to investigate the impact of intellectual capital (IC) and its components (human, structural, relational and innovation capitals) on financial performance (FP) at different life cycle stages.

The study uses the data from Chinese manufacturing listed companies during 2014–2018. The modified value added intellectual coefficient (MVAIC) model is employed as the measurement of IC efficiency. Finally, multiple regression analysis is used to test the research hypotheses.

This study shows that the impact of IC on FP is different across life cycle stages. Specifically, at the birth stage, human capital (HC), structural capital (SC) and innovation capital (INC) have a positive impact on FP. At the growth and mature stages, all IC components contribute to FP improvement. HC and SC play an important role at the revival stage, while only HC positively affects FP at the decline stage.

The findings may help corporate managers to make optimal strategies to improve FP by effective utilization of IC resources in the complex and competitive business environment. Meanwhile, companies can invest in the core elements of IC at different stages of development, so as to maximize the contribution of IC to company value.

This is among the few studies to explore the impact of IC on FP of manufacturing listed companies in the Chinese context from the perspective of life cycle. It also makes novel contributions in measuring IC by the MVAIC model with the inclusion of relational capital and INC that are largely neglected in previous research.

Measuring intellectual capital is a growing area of interest in the knowledge management field. Metrics are being developed and applied by some organizations, but there needs to be more research throughout the international community to better define these measures. One limitation of the current measures is that they do not necessarily address the “knowledge level” and the types of value‐added knowledge that individuals obtain. This paper takes a look at the current measures, discusses some possible limitations, and suggests some additional measures that could be used in the intellectual capital area to complement existing measures.

Scholars in major us research universities were surveyed to explore the normative bases of acknowledgement behaviour. Measures of agreement and divergence were established in respect of five issue sets pertaining to acknowledgement practice: expectations, etiquette, ethics, equity and evaluation. The results confirm the substantive role played by acknowledgements in the primary communication process. Although few formal rules exist, it is clear that many scholars subscribe to the idea of a governing etiquette. The findings also suggest that acknowledgement data could be mined to lay bare the rules of engagement that define the dynamics of collaboration and inter‐dependence among scholars.

Increasing pressure to enhance research coupled with a desire for a broadening of academic input, are prompting greater levels of collaboration. Research collaboration can generate notable benefits but can also pose a variety of challenges. The purpose of this paper is to explore the reasons, facilitators, benefits and challenges of academic collaboration. It also provides suggestions to manage identifiable risks and enhance team dynamics.

This is a conceptual paper exploring prior literature in relation to the contentious points of research collaboration, particularly in regard to authorship attribution.

The authors present two checklists that researchers can utilise to ensure the successful completion of collaborative projects. The checklists incorporate the main factors required for effective collaborative work and research, and form a foundation for discussion among team members.

The paper draws upon experiences, observations, academic literature and protocols, and provides strategies and recommendations to enhance collaboration and authorship attribution. The two checklists presented in the paper are value‐adding for team members.

The purpose of this paper is to provide assistance to public organizations in the process of developing their ability to identify, measure and manage their intangible assets.

A review of the most important intellectual capital management initiatives at Spanish public organizations is realized.

The paper shows the importance of intellectual capital approaches as instruments to face the new challenges in public sector. The experience gained from the case studies provides a practical help to public organizations to develop means to identify, measure and manage their intangible assets.

The study provides a basis to understand how Spanish public organizations are measuring and managing their intellectual capital. In this sense, the first step would be the definition and diffusion of the organization's strategic objectives. Then, critical intangibles related to these objectives should be identified. Afterwards, a set of indicators is defined and developed for each intangible.

Public managers work with intangible concepts, although there is not always a methodology available that systematizes their identification, measurement and presentation. To deal with this problem, it is considered fundamental to know which initiatives have been carried out in Spain in relation to models of intellectual capital management for public organizations.

The primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.

This research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.

This study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.

This analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.

This study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.