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Differences in annual publication counts may reflect the dynamic of scientific progress. Declining annual numbers of publications may be interpreted as missing progress in field-specific knowledge.

In this paper, we present empirical results on dynamics of progress in economic fields (defined by Journal of Economic Literature (JEL), codes) based on a methodological approach introduced by Bornmann and Haunschild (2022). We focused on publications that have been published between 2012 and 2021 and identified those fields in economics with the highest dynamics (largest rates of change in paper counts).

We found that the field with the largest paper output across the years is “Economic Development”. The results reveal that the field-specific rates of changes are mostly similar. However, the two fields “Production and Organizations” and “Health” show point estimators which are clearly higher than the estimators for the other fields. We investigated the publications in “Production and Organizations” and “Health” in more detail.

Understanding how a discipline evolves over time is interesting both from a historical and a recent perspective. This study presents results on the dynamics in economic fields using a new methodological approach.

The aim of this article is to study a locally‐oriented and book‐based research field using two Swedish language sources. Knowledge about citation patterns outside journal‐based, English language databases is scarce; thus a substantial part of research in the humanities and the social sciences is neglected in bibliometric studies.

Citation characteristics (publication type, language, gender and age) in the journal Tidskrift för Litteraturvetenskap (2000‐2009) and in grant applications (2006‐2009) are studied. The datasets are analyzed further, adopting an author‐co‐citation approach for depicting and comparing the “intellectual base” of the field.

It is shown that monographs and anthologies are the main publication channel in Swedish literary research. English, followed by Swedish, is the major language, and the gender of authors seems to influence citation practices. Furthermore, a common intellectual base of literary studies that is independent of publication type and language could be identified.

Bibliometric analysis of fields within the humanities needs to go beyond established databases and materials. The extensive use of recent English language monographs in Swedish literary studies informs the acquisition policy of university libraries serving literature scholars.

Citation analysis of non‐English sources offers further knowledge about scholarly fields with a local and “rural” profile. The approach of using references in grant applications provides a novel and promising venue for bibliometric research.

The aim of this article is to explain commonalities and differences in the responses of four national educational science communities to the same external stimulus, namely international comparative large scale student assessments that offered vastly improved comparability of national results from the beginning of the 1990s. The comparison shows the epistemic traditions of educational research in the four countries and properties of the data produced by the international comparative studies to be the central explanatory factors for commonalities and differences of responses to the new studies.

Bibliometrics is an instrument that allows the analysis of evolution, current state, and future trends in a scientific field. Many disciplines, such as hospitality and tourism, have undertaken bibliometric studies. Based on a review of the leading bibliometric methods used in the main bibliometric documents published in the hospitality and tourism field between 2010 and 2019, this chapter aims to propose a bibliometric guide to help researchers undertake studies based on bibliometric techniques, both evaluative and relational. Any bibliometric research comprises five phases: setting the research questions, selecting the appropriate database, establishing the criteria to follow, filtering the data, applying the proper methods, and analyzing the results. This chapter elaborates on these stages, highlighting the most important evaluative and relational techniques to study the structure of a scientific field from a bibliometric approach. Bibliometric studies provide valuable knowledge for academia, governments, and research centers. It also helps journals' editors evaluate publications and make editorial decisions.

Symbols for concepts like ‘half life’, ‘impact factor’, ‘normalised impact factor’ and ‘immediacy index’ are proposed and formulas for the determination of their values are provided. The features of the concepts are also highlighted.

This study aims to explore the interplay between community dynamics and knowledge production using the quantum computing research field as a case study. Quantum computing holds the promise of dramatically increasing computation speed and solving problems that are currently unsolvable in a short space of time. In this highly dynamic area of innovation, computer companies, research laboratories and governments are racing to develop the field.

After constructing temporal co-authorship networks, the authors identify seven different events affecting communities of researchers, which they label: forming, growing, splitting, shrinking, continuing, merging, dissolving. The authors then extract keywords from the titles and abstracts of their contributions to characterize the dynamics of knowledge production and examine the relationship between community events and knowledge production over time.

The findings show that forming and splitting are associated with retaining in memory what is currently known, merging and growing with the creation of new knowledge and splitting, shrinking and dissolving with the curation of knowledge.

Although the link between communities and knowledge has long been established, much less is known about the relationship between the dynamics of communities and their link with collective cognitive processes. To the best of the authors’ knowledge, the present contribution is one of the first to shed light on this dynamic aspect of community knowledge production.

This paper aims to investigate the antecedents of recombinant innovation from the perspective of ego–network dynamics, and further disentangle whether ego–network stability or ego–network expansion is more conducive to recombinant innovation under heterogeneous knowledge base.

This paper uses 1,801 patent data in China’s biotechnology field as a sample and adopts fixed effects regression model to examine the effects of ego–network dynamics on recombinant innovation and further uses the Wald tests to discern which ego–network dynamic is more conducive to recombinant innovation under heterogeneous knowledge base.

The empirical results indicate that ego–network dynamics have a positive impact on recombinant innovation. Specifically, for firms with high knowledge breadth and high knowledge depth as well as high knowledge breadth and low knowledge depth, ego–network stability is more conducive to recombinant innovation. By contrast, for firms with low knowledge breadth and high knowledge depth, recombinant innovation benefits more from ego–network expansion. As for firms with low knowledge breadth and low knowledge depth, both ego–network stability and ego–network expansion can promote recombinant innovation, while the effects are not significant.

This research may enlighten managers to choose suitable ego–network dynamics strategies for recombinant innovation based on their knowledge base.

This research not only contributes to the literature on recombinant innovation by revealing the impact of different ego–network dynamics on recombinant innovation but also contributes to network dynamics theory by exploring whether ego–network stability or ego–network expansion is more conducive to recombinant innovation under a heterogeneous knowledge base.

Following the spirit of an earlier volume in the series focusing on ‘Comparative Approaches to Organizational Research’, the mandate of the current volume is to provide a comparative account of dynamics across two organizational fields – health care and higher education – and, subsequently, two specific types of organizational forms – hospitals and universities. In so doing, we take a broader perspective encompassing various conceptual and theoretical points of departure emanating from, mostly, the institutional literature in the social sciences (and its various perspectives), but also from public policy and administration literatures – of relevance to scholars and the communities of practice working within either field. In this introductory paper to the volume, we provide a brief overview of developments across the two organizational fields and illuminate on the most important scholarly traditions underpinning the study of both system dynamics as a whole as well as universities and hospitals as organizations and institutions. We conclude by reflecting on the implication of the volume’s key findings in regards to comparative research within organizational studies.

The purpose of this paper is to analyse the influences of different types of knowledge and their inherent dynamics on the effectiveness of the decision-making (DM) process. Knowledge dynamics (KD) is envisioned through the lens of the knowledge fields theory while effective DM process is objectivised via organisational appreciation and reward, higher business performance, sustainable partnerships and managerial satisfaction with previous achievements.

A questionnaire-based survey was conducted with 275 middle managers from companies operating in the business consulting field. The conceptual and structural model was tested using the partial least squares structural equation modelling technique.

The study advances novel insights into the significant positive influences of various knowledge fields on KD on the DM process within real-life business environments. Even though rational knowledge exerts a noteworthy effect on DM, its influence is exceeded by the KD, which proves that integrating emotional and spiritual knowledge in the decisional equation may become a pivotal input to making good managerial decisions regardless of the level of regulation and standardisation in the field.

The research relied on threefold knowledge fields as predictors for the DM process, thus providing a starting point for the development of more complex models.

The study emerges as a groundbreaking approach via the integration and application of the knowledge fields theory within a more comprehensive and empirical outlook on the DM process. Simultaneously, it places DM beyond the unidimensional outcomes of rationality and intuition by urging its intricate and interactional nature.

Organization development is often mourned as stagnant or perhaps dead, but most of these declarations seem to be insular, being supported primarily by anecdotal or survey research among organization development scholars and practitioners. This exploratory study seeks a more objective understanding of the state of organization development by examining big data from the social media platform Twitter. Drawn from over 5.7 million tweets extracted through Twitter's Application Program Interface (API) during 2 months in 2018, this research approaches the state of organization development through a quantitative, abductive study utilizing social network analyses. Organization development is examined through its characteristics as a social network on Twitter and how it relates to and interacts with other familial networks from management and organization studies. Findings show that organization development is relatively inactive as a social network on Twitter, as compared to other familial networks, and the relationships between the organization development network and these familial networks tend to be ones of inequality. Organization development references familial networks much more than any of the familial networks reference organization development. This inequality in social media presence is particularly surprising since several of these familial networks were founded from the field and principles of organization development. We locate organization development's generalist status, as compared to familial networks' specialist status, as generating this interaction disparity drawing on recent research that suggests specialized fields fare better in times of rapid change compared to generalist fields. We discuss the potential for greater specialization of organization development with a reemphasis on its process philosophy and focus.