Exploring the scope of open innovation: a bibliometric review of a decade of research

Global systematic mapping of Vibrio species pathogenicity: A PRISMA-guided cluster-based analysis

BACKGROUND

A systematic global map on toxigenesis and genomic virulence of Vibrio spp. was analyzed for research progress to identify the emerging research patterns for establishing a database for designing future interventions.

METHOD

The databases (Web of Science and Scopus) were analyzed with Voxviewer software to map the global scale of Vibrio spp. or virulence toxin/genes publications and standardized using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) strategies.

RESULTS

The results identified 1162 (Web of Science n = 620, Scopus n = 542), while 314 studies qualified for inclusion and were significantly analyzed on virulence toxin/genes. By co-citation analysis, 4-thematic clusters were developed from 6420 citations and a total reference of 9062. Cluster #1 (pathogenesis & virulence factors) and cluster #4 (host response factors) generated the utmost publications and citations (n = 40, 643) and the least (n = 7, 85) interest by the researcher. Whereas 8-thematic clusters were developed by bibliographic coupling technique analysis, cluster#1 and cluster#8 generated the utmost (n = 78, 1684) and least (n = 7, 81) publications and citations interest by the researcher.

CONCLUSIONS

Our findings suggest that Vibrio toxigenesis and virulence factors are a complex field requiring an interdisciplinary approach consisting of interconnected perspectives that have important consequences for academics and policymakers.

Exploring the global landscape of work-life balance research: A bibliometric and thematic analysis

The research on work-life balance (WLB) published in journals with a Scopus index between 2011 and 2022 is carefully examined in this work. Our research attempts to clarify the evolution and trends in WLB research and the importance of publications that Scopus indexes. After analyzing 2717 research articles, we found that WLB publications have a significant annual growth rate of 14.71 %, which suggests that the trend continues to grow. Significant changes are seen, with 1888 papers produced between 2017 and 2022 highlighting a notable increase in interest in the field. With 1608 papers, social sciences account for the majority of WLB research. With 54 publications, Griffith University (Australia) is the most affiliated institution. With 30 papers, the "Economic and Social Research Council of the United Kingdom" became the primary source of financing. The most prolific author, with nine publications, is Lingard H. At the same time, co-citation analysis reveals 168 co-cited authors. The United States (USA), the United Kingdom (U.K.), and Australia (A.U.) are the top three producing nations. A thematic analysis reveals ten major WLB themes, from work stress to difficulties with human resource management. This study provides crucial insights for policymakers and leaders to address work-life balance issues effectively. Using tools like Gephi or CiteSpace, we could deepen our understanding through advanced analysis methods such as page rank and network visualization.

Mapping the field: A bibliometric literature review on technology mining

Technology mining (or tech mining, TM) is an emerging research field in science, technology, and innovation studies. However, due to the rapid increase and widespread application of TM research, accurately capturing research topics and emerging developments in TM has become a challenge for scholars. Therefore, this bibliometric literature review combines quantitative methods and content analysis to explore the research foundation and development frontiers of TM and distinguish emerging research topics from relatively mature ones, aiming to deepen the understanding. More specifically, it utilizes co-citation analysis and bibliographic coupling techniques to analyze the TM publication dataset. The results indicate that TM research is mainly based on four foundational areas, and there are five current frontier clusters. Emerging topic detection further shows that technology topic analysis, technology opportunity analysis, and technology management and decision support are currently emerging TM research topics.

Evolution and current state of research into E-learning

This article aims to undertake a bibliometric review along with a conceptual and intellectual analysis of research on distance learning and e-learning. The purpose of this study is to focus on several academic fields and offer a comprehensive approach on how research on distance learning and e-learning has been approached since 1970. This work applies several bibliometric techniques to assess the research evolution of topics addressed, the most productive authors and the most influential journals. The findings revealed an exponential increase of publications over the last 20 years, highlighting the evolution of topics. The research themes include four main groups: the first relates to pedagogical processes in terms of effectiveness, outcomes, learning strategies, interaction, and self-regulation; the second group includes aspects associated with ICT applied in distance education; the third group focuses on the perceived value, usefulness, acceptance, and satisfaction of e-learning; and the last group portrays the forced application of distance learning strategies to deal with the consequences of the pandemic. This work contributes to expanding the existing literature devoted to study the structure of research on e-learning. It analyses the most representative authors, institutions, and documents, and gathers the growing literature on e-learning, from distance learning in the seventies until the implementation of online learning in the COVID-19 era.

Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere-a bibliometric analysis

This paper surveys the extant literature on machine learning, artificial intelligence, and deep learning mechanisms within the financial sphere using bibliometric methods. We considered the conceptual and social structure of publications in ML, AI, and DL in finance to better understand the research's status, development, and growth. The study finds an upsurge in publication trends within this research arena, with a bit of concentration around the financial domain. The institutional contributions from USA and China constitute much of the literature on applying ML and AI in finance. Our analysis identifies emerging research themes, with the most futuristic being ESG scoring using ML and AI. However, we find there is a lack of empirical academic research with a critical appraisal of these algorithmic-based advanced automated financial technologies. There are severe pitfalls in the prediction process using ML and AI due to algorithmic biases, mostly in the areas of insurance, credit scoring and mortgages. Thus, this study indicates the next evolution of ML and DL archetypes in the economic sphere and the need for a strategic turnaround in academics regarding these forces of disruption and innovation that are shaping the future of finance.

Tracing the evolution of digitalisation research in business and management fields: Bibliometric analysis, topic modelling and deep learning trend forecasting

Research on digitalisation trends and digital topics has become one of the most prolific streams of research within the fields of business and management during the course of the past few years. The purpose of this study is to provide a general picture of the intellectual structure and the conceptual space of this research realm. To this purpose, 6067 publications related to digital topics, indexed in the business and management categories of Web of Science (WoS), and dated from 1990 to 2020 are explored based on the approaches of bibliometric analysis, topic modelling and trend forecasting. The results of the bibliometric analysis comprise insights into the publication and citation structure, the most productive authors, the most productive universities, the most productive countries, the most productive journals, the most cited studies and the most prevalent themes and sub-themes on digitalisation in business and management. In addition, the outcomes of the topic modelling give new knowledge on the latent topical structure along with the rising, falling and fluctuating trends of this literature. In addition, the results of the trend forecasting enable readers to have a glimpse of how the underlying trends of the literature will probably change within the next years until 2025. These results provide guidance and orientation for both academics and practitioners who are initiating or currently developing their efforts in this discipline.

Blending absorptive capacity with open innovation: a bibliometric review

Purpose

This paper aims to explore the relationship between open innovation (OI) and absorptive capacity (AC) using a bibliometric analysis of existing literature.

Design/methodology/approach

The bibliometric analysis is used to review the covered research articles in the Web of Science (WoS) database. The time span covered over 20 years from the year 2000 to 2020.

Findings

The study suggests that it is an attracting and growing field for researchers, and there exists a close relationship between OI and AC. Further, the literature has parted into three research streams (1) AC and OI: dependency and interchangeability; (2) OI and its future avenues (3) OI and AC: critical factor for firm innovation performance which elaborate various future scopes to study.

Research limitations/implications

The study's limitations exist with the biasness in database selection criteria, such as the possible non-inclusion of crucial articles.

Practical implications

The study’s implications are to discern close association and path dependency of AC and OI; and facilitate the innovation performance of the firm via developing of AC.

Originality/value

The approach used is a novelty, and the conclusions can better understand the relationship between both terms (OI and AC). Thus, it can help increase firm innovation performance.

The Effect of Corporate Social Responsibility on Earnings Management: Bibliometric Review

This review aims to study the knowledge development and research dissemination on the influence of Corporate Social Responsibility (CSR) on earnings management through a social network approach using a bibliometric review. A systematic bibliometric review was carried out on 329 papers obtained from the Clarivate Analytics Web of Science (WoS) Core Collection database. The data were analyzed by year, journal, author, institution, country, affiliation, subject area and term analysis. The results reveal the growing interest of researchers in studying the impact of CSR. Although the USA and China dominate publication production, there are a large number of authors from more than 50 countries around the world. The results also show that being prolific does not imply being influential in this area. The keyword patterns showed some interesting potential areas of study on this topic. The findings of this paper provide insight to the research on the analysis of the influence of CSR on earnings management. The most important findings consist of a number of gaps in the literature, such as gender diversity, voluntary disclosure of information and existence of an audit committee, among others, that allow for future fields of research to improve the analysis of the influence of CSR in EM. This research should also prove helpful to managers, owners and auditors. This is the first bibliometric review developed on this topic and it can be extrapolated to any place in the world.

Crowdlending: mapping the core literature and research frontiers

Peer-to-peer (P2P) lending uses two-sided platforms to link borrowers with a crowd of lenders. Despite considerable diversity in crowdlending research, studies in this area typically focus on several common research topics, including information asymmetries, social capital, communication channels, and rating-based models. This young research field is still expanding. However, its importance has increased considerably since 2018. This rise in importance suggests that P2P lending may offer a promising new scientific research field. This paper presents a bibliometric study based on keyword co-occurrence, author and reference co-citations, and bibliographic coupling. The paper thus maps the key features of P2P lending research. Although many of the most cited papers are purely financial, some focus on behavioral finance. The trend in this field is toward innovative finance based on new technologies. The conclusions of this study provide valuable insight for researchers, managers, and policymakers to understand the current and future status of this field. The variables that affect new financial contexts and the strategies that promote technology-based financial environments must be investigated in the future.

Investigating Determinants of Industry–University Collaboration in an Open Innovation Context: Comparative Evidence from an Exploratory Study

In an open innovation (OI) paradigm, universities are considered as important sources of external scientific knowledge for industry, and comparative study of such collaboration can result in more effective and efficient employment of OI. Within this framework, this study explores how the determinants of collaboration between industry and universities in an open context of innovation are addressed by firms within industrial areas. For this purpose, a conceptual framework of industry–university determinants in an open context of innovation is developed from the related literature. Taking into consideration the determinants integrated into the framework, this study compares motives, barriers, channels of knowledge transfer, benefits and drawbacks of such collaboration in two Italian and Romanian industrial areas. Comparative differences in each OI determinant between the firms from the two Italian and Romanian industrial areas are analysed. The associations among the study determinants are also investigated based on correlation matrices among the five determinants in both Italian and Romanian firms. An artificial intelligence approach based on fuzzy logic was developed to predict the impact of the study determinants on the perception of universities as a source for OI activities of firms.

A meta-analysis of the impact of open innovation on performance

Using the meta-analysis technique, this research comprehensively reviews the existing open innovation (OI) literature, systematically aggregates empirical findings on the impact of OI on performance to identify key moderators and statistically tests the significance of these moderators in influencing the OI–performance relationship. Based on a comprehensive dataset of 2,377,123 firms and sub-firm units in 171 studies published from 2003 to 2018, this research demonstrates that the OI–performance relationship is significantly moderated by three key factors: performance measure, OI approach, and level of analysis. This research helps explain the conflicting findings regarding the OI–performance relationship in the existing literature, and contributes to the understanding of the effectiveness of OI practice.

Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda

In recent years, Open Innovation (OI) and crowdsourcing have been very popular topics in the innovation management literature, attracting significant interest and attention, and inspiring a rich production of publications. Although these two topics share common themes and address similar managerial challenges, to the best of our knowledge, there is no systematic literature review that digs deep into the intersection of both fields. To fill in this gap a joint review of crowdsourcing and OI topics is both timely and of interest. Therefore, the main objective of this study is to carry out a comprehensive, systematic, and objective review of academic research to help shed light on the relationship between OI and crowdsourcing. For this purpose, we reviewed the literature published on these two topics between 2008 and 2019, applying two bibliometric techniques, co-citation and co-word analysis. We obtained the following results: (i) we provide a qualitative analysis of the emerging and trending themes, (ii) we discuss a characterization of the intersection between OI and crowdsourcing, identifying four dimensions (strategic, managerial, behavioral, and technological), (iii) we present a schematic reconceptualization of the thematic clusters, proposing an integrated view. We conclude by suggesting promising opportunities for future research.

Electrical neuromodulation in bladder dysfunction: Mapping the state-of-the-art with bibliometric analysis of field and top 100 cited articles

AIMS

Electrical neuromodulation of bladder function has been extensively investigated in the literature. To date, there has been no characterization of the field, and there is a lack of bibliometric literature to guide future studies. We directed this scientometric analysis to characterize the distribution, characteristics and relationships of the field, with subanalysis of top 100 articles.

METHODS

The Web of Science Core Collection of the Thompson Reuters Web of Science was searched and analyzed to determine distributions and characteristics of clinical research investigating electrical neuromodulation in bladder dysfunction. Field citation and coauthorship networks were mapped, and recent citation bursts of the past decade are described. The top 100 cited articles were categorized, with level of evidence rating system applied.

RESULTS

A total of 872 articles published from 1949 until October 2020 were included in field analysis. Europe demonstrated the highest continental productivity within field (n = 539, 61.81%), and the United States the top nation (35.55% of field, 39.24% of top 100 articles). The Journal of Urology has historically published the most articles in the field (n = 150, 17.20%), and top 100 articles (n = 41, 40.20%). Top 100 articles reported studies of neuromodulation effects via sacral neuromodulation (n = 59); of non-neurological bladder dysfunction (n = 72); urinary incontinence (n = 92), frequency (n = 73) and urgency (n = 68) symptomology.

CONCLUSIONS

Analysis of electrical neuromodulation of bladder dysfunction literature reveals historical development, core research clusters and relationships, and an increase in publication activity over past decades.

The Makerspace Phenomenon: A Bibliometric Review of Literature (2012–2020)

This paper uses bibliometric methods to review the research on makerspaces. The objective of the study was to document the growth and geographic distribution of makerspace literature, identify the main authors, documents. In addition to this, the study also combined two bibliometric analysis methods, co-citation analysis and co-word analysis to identify the intellectual structure of the makerspace knowledge base and the evolution of research themes over time. A total of 654 documents related to makerspaces between 2012 and 2020 were identified from the Scopus database. The review found that research base on makerspace is starting to grow from 2017 onwards with an accelerating growth rate, however, the published studies are mainly from USA and Europe. The paper also lists the most cited documents, the influential sources of publications and the main authors working on this area. The review also identified five research clusters using co-citation analysis that have emerged over time which are “innovation and development in makerspaces”, “child development in makerspaces”, “learning and STEM education in makerspaces”, “implementation of makerspaces in education”, and “university makerspaces”. Another major finding highlighted “innovation, design, and creativity”, “engineering curriculum”, “skill development”, “computer programming knowledge”, and “learning, collaboration and community development” as the five main research themes using the co-word analysis. These findings provide a robust roadmap for further investigation in this research field.

Worldwide Research on Socio-Hydrology: A Bibliometric Analysis

The technical and scientific analysis regarding studies of the water surface or groundwater has increasingly taken on a great social impact, which has led to the creation of the term socio-hydrology. Since decision making has a greater weight, considering the social perspective, its study has become more important in the past 20 years. This article aims to carry out a bibliometric analysis related to socio-hydrology using the Scopus database and the application of VOSviewer software for the evaluation of the intellectual structure of socio-hydrology, its conceptual evolution, and its tendencies. The methodology considers (i) search criteria of the research field, (ii) search and document selection, (iii) software and data extraction, and (iv) analysis of results and trends. The results show us the term socio-hydrology as a new scientific discipline that has traces in the Scopus database in the past two decades. However, its application stems from recognising ancestral knowledge alongside other forms of knowledge. Socio-hydrology practice requires participatory models, where the community has a great influence, and for the most part, it guarantees results for the common good. The trend of this topic is growing and open to the criteria of sustainability.

Mapping Value Co-creation Literature in the Technology and Innovation Management Field: A Bibliographic Coupling Analysis

Value co-creation has become a very important topic in several disciplines. It is observed that value co-creation has been analyzed mainly from a perspective of marketing or services. The interest of studying value co-creation in relation to innovation is growing but there are no previous literature reviews that focus on the literature that studies value co-creation from a technology and innovation management perspective. The present research aims to close this gap. This research has two aims. First, we make a descriptive analysis of the evolution of documents published from 2004 to 2020. We analyze the main journals and identify the most prolific authors. In addition, we observe collaborative behavior at three different levels – country, institution, and author. Second, we determine the content structure of this literature through a bibliographic coupling analysis, and characterize the resulting groups. As a result of this analysis, we describe eleven thematic groups and characterize them through different metrics. Based on these metrics and the previous analysis, we classify and explain the studies about co-creation in the technology and innovation management field. We obtained three research streams: open innovation, consumer-centric analysis, and service ecosystem and service innovation, and two new trends: servitization and the sharing economy.

UNVEILING THE DIVERSITY OF SCHOLARLY DEBATE ON LIVING LABS: A BIBLIOMETRIC APPROACH

Living labs (LLs) are becoming an increasingly popular approach to engage in open innovation. Although applications and influence of LLs have grown rapidly over the last decade, the landscape of LL research remains largely unclear and underexplored. Hence, there is an urgent need to develop a consolidated understanding of this research field and to detect the potential areas of fragmentation and isolation. Through a systematic review of the scholarly literature on LLs, this study applies bibliometric methods on a dataset of 411 journal articles. The results of this study reveal the diverse and fragmented nature of the LL field, with contributions spanning across different disciplines and application domains. Despite such fragmentation, some clusters of scholars and publications are identified as well as influential contributions. Given the nascent state of the literature, the role of special issues in shaping the evolution of the LL debate is prominent. This study provides a map to practitioners to investigate and learn from the application of LLs in diverse fields. This aspect is particularly important in light of the current COVID-19 pandemic, which stresses the key role of open and collaborative approaches to innovation, making the use of LLs increasingly relevant for governments, companies, public organisations and individuals.

Open Data for Open Innovation: An Analysis of Literature Characteristics

In this paper, we review some characteristics of the literature that studies the uses and applications of open data for open innovation. Three research questions are proposed about both topics: (1) What journals, conferences and authors have published papers about the use of open data for open innovation? (2) What knowledge areas have been analysed in research on open data for open innovation? and (3) What are the methodological characteristics of the papers on open data for open innovation? To answer the first question, we use a descriptive analysis to identify the relevant journals and authors. To address the second question, we identify the knowledge areas of the studies about open data for open innovation. Finally, we analyse the methodological characteristics of the literature (type of study, analytical techniques, sources of information and geographical area). Our results show that the applications of open data for open innovation are interesting but their multidisciplinary nature makes the context complex and diverse, opening up many future avenues for research. To develop a future research agenda, we propose a theoretical model and some research questions to analyse the open data impact process for open innovation.

Critical success factors for open innovation implementation

Purpose

A comprehensive understanding about open innovation implementation is still lacking. In particular, a compilation of drivers and barriers for OI implementation is absent from the literature. Thus, the purpose of this paper is to identify critical success factors (CSFs) for OI implementation at the firm level.

Design/methodology/approach

A systematic literature review was conducted in order to identify CSFs for OI implementation in previously published literature. A total of 2,894 papers were identified, 156 of which were subjected to full independent analysis by the three authors. The following aspects were considered: research strategy, approach (empirical or theoretical) and objectives; theoretical background; methodological procedures; main results; and contributions to the literature. If the paper reported empirical research that included a description of actual OI implementation, additional aspects were analyzed: industry or sector of application; firm characteristics; success of OI implementation and OI tools and techniques reported.

Findings

A synthetizing framework with six thematic categories of CSFs was proposed: leadership, internal innovation capability, network and relationships, strategy, technology management, and culture. A total of 22 CSFs for OI implementation were identified within these categories.

Originality/value

The proposed framework is an attempt to systematically generate a comprehensive list of factors that impact OI implementation. As such, it can support the theoretical development of OI-related capabilities, and serve as basis for future research that investigates operationalization and measurement of such capabilities.

Multiple Context of Innovation: Insights from Literature

The aim of this paper is to investigate the most relevant conceptualizations of innovation taken into account by scholars, and the linkages among them. Over time, the increasing interest in this area has involved a great variety of actors and contexts in establishing the definition of different innovation labels; we chose to focus the analysis on “system innovation”, “network innovation” and “ecosystem innovation”. In order to observe the most relevant elements of each research stream and common aspects, a two-step analysis of literature contributions has been performed through a bibliometric analysis comparing the evidence emerging from one survey of keywords provided by authors and a second of keywords provided by editors. Through this kind of investigation the editors’ keywords emerged as more objective, but nevertheless, by considering some of the different evidences obtained from the keywords provided by authors, the two-step analysis is useful to provide more complete results.