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This paper aims to describe a method for combining perceived community support, relationship quality and the extended technology acceptance model in the same empirically derived associative network. The research also examines the moderating role of accumulation of knowledge (based on beliefs and opinions) derived from social interactions.

The Pathfinder algorithm is a valid approach for determining network structures from relatedness data. Such a graphical representation provides managers with a comprehensible picture of how social behaviours relate to loyalty-based dimensions.

As the benefits of community participation and integration might be differently evaluated by new and long-term users, the research examines the associative network by levels of user familiarity. This study indeed contributes to the analysis of enduring social bonds with respect to individuals’ decision-making processes, as it provides details representing specific relationships between diverse concepts based on true-loyalty.

The application of Pathfinder to the study of online social services and user behaviour appears to have potential for unveiling the structures of social network sites members and designing successful strategies for prospective community managers.

This is the first study to the author’s knowledge that empirically tests a theory-grounded framework for integrating individual characteristics and relational driver and focuses on associative structures evidenced as a representation of the most salient loyalty-based concepts by also studying the moderating effects of familiarity.

Identifies key activities that network users can perform in order to use the network effectively. Offers recommended reading, from beginner to expert user status. Explains some commonly used terms (e.g. Turbo Gopher with Veronica!). Lists useful Internet resources.

The paper aims to clarify the internal structure of the discipline of business and management (BMA) and its relations with adjacent disciplines.

We analyse the thematic profile of the most relevant journals in BMA (Scopus database). We then perform a network analysis, specifically Pathfinder and Nearest Neighbour analyses.

Our research provides empirical evidence of BMA's cohesiveness, thematic variety and interdisciplinarity. It remains open to a wide range of disciplines, particularly information systems, decision science and finance. BMA constitutes a dome composed of different subdisciplines. Some of these (for example, accounting, management information systems and industrial relations) display little relation to the others, although they do establish links with adjacent fields. In addition, strategic management emerges as a central point, endowing the discipline with consistency by acting as a link to certain subdisciplines that would otherwise be unconnected. Despite its more moderate presence in the discipline, organisational behaviour is the most nuclear category, acting as an anchor and helping to organise and structure BMA.

This analysis provides a static image of BMA. It would be interesting to further the research through a dynamic perspective that would outline the evolution of the interrelations amongst disciplines over time and ascertain where they are heading.

These results shed light on the centrifugal and centripetal forces of BMA and their future development.

This paper analyses the internal structure of BMA through its journals.

Based on the data from Figshare repositories, the purpose of this paper is to analyze which research data are actively produced and shared in the interdisciplinary field of library and information science (LIS).

Co-occurrence analysis was performed on keywords assigned to research data in the field of LIS, which were archived in the Figshare repository. By analyzing the keyword network using the pathfinder algorithm, the study identifies key areas where data production is actively conducted in LIS, and examines how these results differ from the conventional intellectual structure of LIS based on co-citation or bibliographic coupling analysis.

Four major domains – Open Access, Scholarly Communication, Data Science and Informatics – and 15 sub-domains were created. The keywords with the highest global influence appeared as follows, in descending order: “open access,” “scholarly communication” and “altmetrics.”

This is the first study to understand the key areas that actively produce and utilize data in the LIS field.

The paper introduces bibliometrics to the research area of knowledge organization – more precisely in relation to construction and maintenance of thesauri. As such, the paper reviews related work that has been of inspiration for the assembly of a semi‐automatic, bibliometric‐based, approach for construction and maintenance. Similarly, the paper discusses the methodical considerations behind the approach. Eventually, the semi‐automatic approach is used to verify the applicability of bibliometric methods as a supplement to construction and maintenance of thesauri. In the context of knowledge organization, the paper outlines two fundamental approaches to knowledge organization, that is, the manual intellectual approach and the automatic algorithmic approach. Bibliometric methods belong to the automatic algorithmic approach, though bibliometrics do have special characteristics that are substantially different from other methods within this approach.

This paper aims to shed light on the linkage between research and development (R&D) networks and public funding presented in a given period by using network-based evaluation tools as a means of exploring the relational dimension in public projects designed to foster technology R&D activities.

This research uses co-occurrence network analysis of relevant public projects to assess how technological associations might occur within the R&D activities of given publicly funded projects as well as conducts correlation analysis to understand the extent to which linkages of R&D activity in technology fields are related to public expenditure.

Core technology fields, regarded as eligible to receive continued public funding, are critical for enhancing competitiveness and sustainable growth at the nationally strategic technology level. Thus, the relationship between R&D and the level of government funding for these fields is generally perceived as strong. However, a few technology fields, which did not actively form specific network relationships with other technology fields, are considered to exceptionally drive the largest government support. This trend indicates that the government-funded R&D should be designed and managed not only to curb the inefficiencies existing in the current funding programs but also to achieve the appropriateness for further technology development.

Despite the comprehensive findings, this study has several limitations. First, it is difficult to control any confounding factors, such as the determinants and constraints of the government budget allocation and expenditure decisions over S&T areas, strategic frameworks for public investment and evolving policy landscapes in technology sectors, which lead to bias in the study results. Second, this study is based on a narrow, single-year data set of a specific field of projects supported by the Korean government’s R&D program. Therefore, the generalization of findings may be limited. The authors assumed that influences caused by confounding variables during the initial phase of the public funding schemes would not be significant, but they did not take into account possible factors that might arise coincident with the subsequent phase changes. As such, the issue of confounding variables needs to be carefully considered in research design to provide alternative explanations for the results that have been ruled out. The limitations of this study, therefore, could be overcome by comparing the outcome difference between subsidized and non-subsidized R&D projects or evaluating targeted funding schemes or tax incentives that support and promote various areas of R&D with sufficiently large, evidence-based data sets. Also, future research must identify and analyze the R&D activities concerning public support programs performed in other countries associated with strategic priorities to provide more profound insight into how they differ. Third, there are some drawbacks to using these principal investigators-provided classification codes, such as subjectivity, inaccuracy and non-representation. These limitations may be addressed by using content-based representations of the projects rather than using pre-defined codes. Finally, the role that government investment in R&D has played in developing new science and manufacturing technologies of materials and components through network relationships could be better examined using longitudinal analysis. Furthermore, the findings suggest the need for further research to integrate econometric models of performance outcomes such as input–output relations into the network analysis for analyzing the flow of resources and activities between R&D sectors in a national economy. Therefore, future research would be helpful in developing a methodological strategy that could analyze temporal trends in the identification of the effects of public funding on the performance of R&D activity and demand.

Public funding schemes and their intended R&D relationships still depend on a framework to generate the right circumstances for leading and promoting coordinated R&D activities while strengthening research capacity to enhance the competitiveness of technologies. Each technology field has a relatively important role in R&D development that should be effectively managed and supervised to accomplish its intended goals of R&D budgeting. Thus, when designing and managing R&D funding schemes and strategy-driven R&D relations, potential benefits and costs of using resources from each technology field should be defined and measured. In this regard, government-funded R&D activities should be designed to develop or accommodate a coordinated program evaluation, to be able to examine the extent to which public funding is achieving its objectives of fostering R&D networks, balancing the purpose of government funding against the needs of researchers and technology sectors. In this sense, the examination of public R&D relations provides a platform for discussion of relational network structures characterizing R&D activities, the strategic direction and priorities for budget allocation of the R&D projects. It also indicates the methodological basis for addressing the impact of public funding for R&D activities on the overall performance of technology fields.

The value of this work lies in a preliminary exploratory analysis that provides a high-level snapshot of the areas of metallurgy, polymers/chemistry/fibers and ceramics, funded by the Korean Government in 2016 to promote technological competitiveness by encouraging industries to maintain and expand their competencies.

The demanding nature of the construction industry poses strain that affects the health of construction personnel. Research shows that mental ill health in this industry is increasing. However, a review mapping the field to determine the extant of research is lacking. Thus, the purpose of this paper is to conduct a scientometric review of mental health (MH) research in the construction industry.

A total of 145 bibliographic records retrieved from Web of Science and Scopus database were analyzed using CiteSpace, to visualize MH research outputs in the industry.

Top co-cited authors are Helen Lingard, Mei-yung Leung, Paul Bowen, Julitta S. Boschman, Peter E.D. Love, Martin Loosemore and Linda Goldenhar. Previous studies focused on healthy eating, work efficiency, occupational stress and workplace injury. Emerging research areas are centered around physiological health monitoring, work ability, and smart interventions to prevent and manage poor MH.

Result is influenced by the citations in retrieved articles.

The study found that researchers in the construction industry have intensified efforts to leverage information technology in improving the health, well-being, and safety of construction personnel. Future research should focus on developing workplace interventions that incorporate organizational justice and flexible work systems. There is also a need to develop psychological self-reporting scales specific to the industry.

This study enhances the understanding of researchers on existing collaboration networks and future research directions. It provides information on foundational documents and authors whose works should be consulted when researching into this field.

This study collected the bibliographic data of 2034 journal articles published in 2000–2021 from Web of Science (WoS) core collection database and adopted two bibliometric analysis methods, namely historiography and keyword co-occurrence, to identify the evolution trend of construction risk management (CRM) research topics.

CRM has been a key issue in construction management research, producing a big number of publications. This study aims to undertake a review of the global CRM research published from 2000 to 2021 and identify the evolution of the research topics relating to CRM.

This study found that risk analysis methods have shifted from simply ranking risks in terms of their relative importance or significance toward examining the interrelationships among risks, and that the objects of CRM research have shifted from generic construction projects toward specified types of construction projects (e.g. small projects, underground construction projects, green buildings and prefabricated projects). In addition, researchers tend to pay more attention to an individual risk category (e.g. political risk, safety risk and social risk) and integrate CRM into cost, time, quality, safety and environment management functions with the increasing adoption of various information and communication technologies.

This study focused on the journal articles in English in WoS core collection database only, thus excluding the publications in other languages, not indexed by WoS and conference proceedings. In addition, the historiography focused on the top documents in terms of document strength and thus ignored the role of the documents whose strengths were a little lower than the threshold.

This review study is more inclusive than any prior reviews on CRM and overcomes the drawbacks of mere reliance on either bibliometric analysis results or subjective opinions. Revealing the evolution process of the CRM knowledge domain, this study provides an in-depth understanding of the CRM research and benefits industry practitioners and researchers.

The purpose of this paper is to investigate undergraduate industrial design students’ perception of sustainable design concepts and how their conceptualization evolves as a function of their attendance to a specific sustainable design studio (SDS) course.

Two groups of students participated in the study. Students who did not attend to SDS were in the control group, whereas students who attended SDS were in the experimental group. In total, 22 concepts, which have been highlighted in literature and the SDS course, were selected as keywords. Participants were asked to provide relatedness scores of these keywords before and after they attended the course. The data were analyzed using multidimensional scaling and pathfinder (PF) networks.

Results indicate that the SDS caused a change in the conceptualization of sustainable design concepts parallel to the course outcomes and the literature. Some concepts were highlighted as conveyors that guide students to conceptualize sustainable development and design.

This study is considered a case study focusing on declarative knowledge, and owing to the low number of participants, the results should be carefully interpreted.

The findings may support design educators to enhance their courses and promote deeper debates on teaching sustainable design.

Two specific dimensions were found from the analysis of multidimensional scaling, and several conveyor concepts were identified from PF networks. Allocating proposed dimensions and concepts into a course may have the potentials to enhance students’ perception of sustainability concepts.

The purpose of this paper is to provide a reconceptualization of existing constructs within the inter-organizational relationship (IOR) domain to face two main issues: the proliferation of constructs emerged because of a fast-growing body of literature, and the interchangeable and ambiguous use of constructs.

First, the authors surveyed the literature regarding IORs using a structured process supported by the use of bibliometric technique, and then the authors organized an expert panel process that contributes to refine the reconceptualization of the constructs.

The results of the analyses allow a further confirmation of the inconsistency in the definition of IOR constructs and provide a clear reconceptualization of the inter-organizational network and alliance constructs, recognized as the most relevant in this domain.

Being the first attempt to deal with the issue of construct reconceptualization in the IOR domain practically, and considering that clear construct definitions serve as a necessary basis for theory building, this paper has relevant implications for the development of theory related to the different types of IORs.