scholarly journals Do journal data sharing mandates work? Life sciences evidence from Dryad

2017 ◽  
Vol 69 (1) ◽  
pp. 36-45 ◽  
Author(s):  
Mike Thelwall ◽  
Kayvan Kousha
Keyword(s):  
Data Sharing ◽  
Evolutionary Biology ◽  
Life Sciences ◽  
Research Impact ◽  
Research Quality ◽  
Content Type ◽  
Shared Data ◽  
Article Citation ◽  
Efficiency Data ◽  
Practical Implications

Purpose Data sharing is widely thought to help research quality and efficiency. Data sharing mandates are increasingly being adopted by journals and the purpose of this paper is to assess whether they work. Design/methodology/approach This study examines two evolutionary biology journals, Evolution and Heredity, that have data sharing mandates and make extensive use of Dryad. It uses a quantitative analysis of presence in Dryad, downloads and citations. Findings Within both journals, data sharing seems to be complete, showing that the mandates work on a technical level. Low correlations (0.15-0.18) between data downloads and article citation counts for articles published in 2012 within these journals indicate a weak relationship between data sharing and research impact. An average of 40-55 data downloads per article after a few years suggests that some use is found for shared life sciences data. Research limitations/implications The value of shared data uses is unclear. Practical implications Data sharing mandates should be encouraged as an effective strategy. Originality/value This is the first analysis of the effectiveness of data sharing mandates.

scholarly journals Measuring resource efficiency and resource effectiveness in manufacturing

2018 ◽  
Vol 67 (9) ◽  
pp. 1854-1881 ◽  
Author(s):  
Mangesh Gharfalkar ◽  
Zulfiqur Ali ◽  
Graham Hillier
Keyword(s):  
Design Methodology ◽  
Inverse Correlation ◽  
Resource Efficiency ◽  
Waste Generation ◽  
Content Type ◽  
Academic Literature ◽  
Shared Data ◽  
Resource Intensity ◽  
Three Stages ◽  
Practical Implications

Purpose The purpose of this paper is twofold: first, to identify and analyse existing resource efficiency (RE) and resource effectiveness measures and indicators (REMIs); and second, to identify gaps and develop a new indicator of “operational resource effectiveness” (OREft) suitable for manufacturing units. Design/methodology/approach Research methodology consists of three stages: gap identification, development and testing. Through review of academic literature, 40 REMIs are identified and analysed. A survey of manufacturers is carried out to validate the hypothesis and seek inputs on the development of the new indicator. The proposed indicator is tested by comparing OREft index of two manufacturing units with each other, with resource intensity per unit (RIPU), waste intensity per unit (WIPU) and with four other REMIs. Findings Analysis of 40 REMIs clearly points towards the absence of a hypothesised REMI. In total, 78 per cent of manufacturers surveyed in north England substantiate the hypothesis. Inverse correlation established between the proposed OREft indicator, RIPU, WIPU and other comparisons is likely to validate the output generated by the proposed indicator. Research limitations/implications Testing of this indicator is limited to two dissimilar manufacturing units that shared data. Practical implications The proposed indicator is useful for comparing the operational resource effectiveness of individual factories over a period as well as with other factories. RIPU and WIPU captured in this indicator also represent operational RE that can be used to initiate improvement action. Originality/value Inclusion of both, the resource consumption and the waste generation along with discount/multiplying factors that capture the circularity aspects is likely to be the distinguishing feature of this indicator.

scholarly journals Do prestigious Spanish scholarly book publishers have more teaching impact?

2018 ◽  
Vol 70 (6) ◽  
pp. 673-690 ◽  
Author(s):  
Amalia Mas-Bleda ◽  
Mike Thelwall
Keyword(s):  
Design Methodology ◽  
Research Impact ◽  
Educational Impact ◽  
Scholarly Book ◽  
Educational Value ◽  
Content Type ◽  
Social Sciences And Humanities ◽  
Book Publishers ◽  
Practical Implications ◽  
High Educational

PurposeThe purpose of this paper is to assess the educational value of prestigious and productive Spanish scholarly publishers based on mentions of their books in online scholarly syllabi.Design/methodology/approachSyllabus mentions of 15,117 books from 27 publishers were searched for, manually checked and compared with Microsoft Academic (MA) citations.FindingsMost books published by Ariel, Síntesis, Tecnos and Cátedra have been mentioned in at least one online syllabus, indicating that their books have consistently high educational value. In contrast, few books published by the most productive publishers were mentioned in online syllabi. Prestigious publishers have both the highest educational impact based on syllabus mentions and the highest research impact based on MA citations.Research limitations/implicationsThe results might be different for other publishers. The online syllabus mentions found may be a small fraction of the syllabus mentions of the sampled books.Practical implicationsAuthors of Spanish-language social sciences and humanities books should consider general prestige when selecting a publisher if they want educational uptake for their work.Originality/valueThis is the first study assessing book publishers based on syllabus mentions.

scholarly journals The significance of impact in real estate research publications

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Graeme Newell ◽  
Muhammad Jufri Marzuki ◽  
Elaine Worzala ◽  
Alastair Adair ◽  
Martin Hoesli ◽  
...  
Keyword(s):  
Real Estate ◽  
Urban Policy ◽  
Research Impact ◽  
High Impact ◽  
Early Career ◽  
Research Quality ◽  
Content Type ◽  
Publish Or Perish ◽  
Real Estate Research ◽  
The Impact

PurposeResearch impact has taken on increased importance at both a micro- and macro-level and is a key factor today in shaping the careers of real estate researchers. This has seen a range of research impact metrics become global benchmarks when assessing research impact at the individual academic level and journal level. Whilst recognising the limitations of research impact metrics, this paper uses these research impact metrics to identify the leading research impact researchers in real estate, as well as the leading real estate journals in the real estate impact space. The nexus between research quality and research impact is also articulated. As well as focusing on research quality, strategies are identified for the effective incorporation of research impact into a real estate researcher's agenda to assist their research careers; particularly for Early Career Researchers in real estate.Design/methodology/approachThe research impact profile of over 150 real estate researchers and 22 real estate journals was assessed using Google Scholar and Publish or Perish. Using the research impact metrics of the h-index, total citations and i10, the leading high impact real estate researchers as well as the high impact real estate journals are identified.FindingsBased in these research impact metrics, the leading real estate researchers in impactful real estate research are identified. Whilst being US focused, there is clear evidence of increasing roles by ERES, AsRES and PRRES players. The leading real estate journals in the impact space are identified, including both real estate-specific journals and the broader planning/urban policy journals, as well as being beyond just the standard US real estate journals. Researcher career strategies are also identified to see both research quality and research impact included as balanced elements in a real estate researcher's career strategy.Practical implicationsWith research impact playing an increased role in all real estate researchers' careers, the insights from this paper provide strong empirical evidence for effective strategies to expand the focus on the impact of their real estate research agendas. This sees a balanced strategy around both research quality and research impact as the most effective strategy for real estate researchers to achieve their research career goals.Originality/valueResearch impact has taken on increased importance globally and is an important factor in shaping real estate researchers' careers. Using research impact metrics, this is the first paper to rigorously and empirically identify the leading research impact players and journals in real estate, as well as identifying strategies for the more effective inclusion of impact in real estate researchers' agendas.

scholarly journals Process validation: coping with three dilemmas in process-based single-case research

2018 ◽  
Vol 33 (4) ◽  
pp. 539-549 ◽  
Author(s):  
Poul Houman Andersen ◽  
Anna Dubois ◽  
Frida Lind
Keyword(s):  
Case Studies ◽  
Single Case ◽  
Research Quality ◽  
Process Validation ◽  
Content Type ◽  
B2b Marketing ◽  
Case Research ◽  
Single Case Research ◽  
Business To Business ◽  
Practical Implications

Purpose Recent research suggests that the interest in process-based single-case studies is increasing in business-to-business (B2B) marketing. This paper aims to discuss research validity issues and dilemmas encountered by process-based single-case researchers in B2B marketing. Design/methodology/approach This is a methodology paper that builds on an integration of experiences, ideas and literature. Findings In the paper, three dilemmas are suggested that researchers need to deal with in process-based single-case research. These relate to the casing process: crafting the case, communicating the case and describing the process of the study. Furthermore, process validation is suggested as a research quality concept concerned with how these dilemmas are handled. Research limitations implications Based on the notion of process validation, the authors provide suggestions for how casing, as a process-based single-case approach, can be conveyed and advanced in its own right. Practical implications This study can be used to convey insights that can help new and experienced researchers in conducting single-case studies in B2B. Originality/value Coping with issues of research quality in B2B marketing is of relevance to researchers dealing with process-based single-case research and process validation issues, as well as to journal reviewers evaluating the qualities of process-based single-case research.

Measurement and assessment of accounting research, impact and engagement

2020 ◽  
Vol 33 (6) ◽  
pp. 1177-1192
Author(s):  
Brendan Thomas O'Connell ◽  
Paul De Lange ◽  
Ann Martin-Sardesai ◽  
Gloria Agyemang
Keyword(s):  
Lived Experience ◽  
Research Impact ◽  
The Other ◽  
Research Quality ◽  
Future Research ◽  
Research Assessment ◽  
Special Issue ◽  
Content Type ◽  
Accounting Research ◽  
Research Themes

PurposeThe purpose of this paper is to examine prominent issues and knowledge contributions from research exploring measurement and assessment of accounting research, impact and engagement. This paper also provides an overview of the other papers presented in this AAAJ Special Issue and draws from their findings to scope out future impactful research opportunities in this area.Design/methodology/approachConsists of a review and examination of the prior literature and the other papers published in this AAAJ Special Issue.FindingsThe paper identifies and summarises three key research themes in the extant literature: research productivity of accounting academics; the rise of the “Corporate University” and commodification of research; and, the benefits and limitations of Research Assessment Exercises. It draws upon work within these research themes to set out four broad areas for future impactful research.Research limitations/implicationsThe value of this paper rests with collating and synthesising several important research themes on the nature and impact of measurement and assessment of accounting research, impact and engagement, and in prompting future extensions of this work through setting out areas for further innovative research in the area.Practical implicationsThe research examined in this paper and the future research avenues proposed are highly relevant to university academics, administrators and regulators/policymakers. They also offer important insights into matters of accounting measurement, accountability, and control more generally.Originality/valueThis paper adds to vibrant existing streams of research in the area by bringing together authors from different areas of accounting research for this AAAJ Special Issue. In scoping out an agenda for impactful research in the nature and impact of measurement and assessment of accounting research, impact and engagement, this paper also draws attention to underexplored issues pertaining to areas such as the “lived experience” of academics in the corporatised university and envisioning what a future “optimal” system of measurement and assessment of research quality might look like?

scholarly journals A mapping for managers: open innovation for R&D intensive SMEs in the life sciences sector

2017 ◽  
Vol 20 (2) ◽  
pp. 210-229 ◽  
Author(s):  
Stefanos Marangos ◽  
Lorraine Warren
Keyword(s):  
Qualitative Study ◽  
Open Innovation ◽  
Design Methodology ◽  
Life Sciences ◽  
Key Factors ◽  
Structured Interviews ◽  
Content Type ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
Practical Implications

Purpose The purpose of this paper is to examine what strategies the CEOs of research and development (R&D) intensive small/medium enterprises (SMEs) in the life sciences sector carry out in regard to open innovation (OI), as R&D costs continue to rise, placing pressure on innovation managers. Design/methodology/approach A qualitative study was carried out, consisting of 30 semi-structured interviews with CEOs of small R&D intensive SMEs in the life sciences sector. The authors analysed the key factors identified by the CEOs in relation to their OI strategies. Findings SMEs adopt a range of OI strategies and collaborations, subject to certain conditions. A multilevel mapping developed from the analysis connects actors to the wider domain, setting the outcomes of the research in context. Research limitations/implications This qualitative study provides detailed understandings that could provide the basis for a wider quantitative study that would provide greater coverage of the sector, thus reinforcing the outcomes. Practical implications The study will be relevant to practising CEOs who are considering the range of options offered by OI. Originality/value While large firms are adopting OI strategies, less is known about the OI strategies developed in SMEs. The study addresses that gap. The life sciences context is also novel.

R&D resources development in life sciences ventures: a dynamic capabilities perspective

2016 ◽  
Vol 23 (4) ◽  
pp. 1191-1207 ◽  
Author(s):  
Jon Carrick
Keyword(s):  
Global Economy ◽  
Small Firms ◽  
Dynamic Capabilities ◽  
Early Stage ◽  
Life Sciences ◽  
Content Type ◽  
Study Approach ◽  
Research Questions ◽  
Practical Implications

Purpose The purpose of this paper is to examine the development of R&D resources in early stage life sciences firms. It looks at how young firms use dynamic capabilities to develop R&D resources. Design/methodology/approach An in-depth case study approach was used to examine the research questions. It draws on longitudinal data collected from ten life science firms. Data were collected from three rounds of interviews with each case firm. A systematic theme analysis was conducted to analyse the results. Findings Results from the study indicate that a unique set of past decisions, future opportunities, assets, capabilities, and routines leads to the development of R&D resources. It is evident that scientific breakthroughs, partnership opportunities, the founders’ experience and the firm’s ability to integrate resources and learn from earlier paths are vital to the development of R&D resources. Research limitations/implications This study extends the application of the dynamic capabilities framework to early stage life sciences ventures. It also demonstrates that dynamic capabilities can lead to the development of important resources. Practical implications The findings from this study provide prescriptive insights for evaluating alternatives on how to develop R&D resources in life sciences ventures. Originality/value Life sciences firms are critical to the modern global economy. However, little work examines how young, small life sciences firms develop R&D resources. Moreover, little work uses the dynamic capabilities framework as a lens to holistically examine how small firms develop R&D resources. This study helps to fill those gaps.

The formation of research ethics for data sharing by biological scientists: an empirical analysis

2019 ◽  
Vol 71 (5) ◽  
pp. 583-600 ◽  
Author(s):  
Boryung Ju ◽  
Youngseek Kim
Keyword(s):  
Research Ethics ◽  
Data Sharing ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Funding Agency ◽  
Research Model ◽  
Content Type ◽  
Perceived Pressure ◽  
Practical Implications

Purpose The purpose of this paper is to investigate how biological scientists form research ethics for data sharing, and what the major factors affecting biological scientists’ formation of research ethics for data sharing are. Design/methodology/approach A research model for data sharing was developed based on the consequential theorists’ perspective of ethics. An online survey of 577 participants was administered, and the proposed research model was validated with a structural equation modeling technique. Findings The results show that egoism factors (perceived reputation, perceived risk, perceived effort), utilitarianism factors (perceived community benefit and perceived reciprocity) and norm of practice factors (perceived pressure by funding agency, perceived pressure by journal and norm of data sharing) all contribute to the formation of research ethics for data sharing. Research limitations/implications This research employed the consequentialist perspective of ethics for its research model development, and the proposed research model nicely explained how egoism, utilitarianism and norm of practice factors influence biological scientists’ research ethics for data sharing, which eventually leads to their data sharing intentions. Practical implications This research provides important practical implications for examining scientists’ data sharing behaviors from the perspective of research ethics. This research suggests that scientists’ data sharing behaviors can be better facilitated by emphasizing their egoism, utilitarianism and normative factors involved in research ethics for data sharing. Originality/value The ethical perspectives in data sharing research has been under-studied; this research sheds light on biological scientists’ formation of research ethics for data sharing, which can be applied in promoting scientists’ data sharing behaviors across different disciplines.

scholarly journals A model for contextual data sharing in smartphone applications

2016 ◽  
Vol 12 (3) ◽  
pp. 310-331 ◽  
Author(s):  
Harshvardhan Jitendra Pandit ◽  
Adrian O’Riordan
Keyword(s):  
Data Sharing ◽  
Contextual Information ◽  
Cloud Services ◽  
Smartphone Apps ◽  
Smartphone Applications ◽  
Contextual Data ◽  
New Approach ◽  
Content Type ◽  
User Input ◽  
Practical Implications

Purpose The purpose of this paper is to introduce a model for identifying, storing and sharing contextual information across smartphone apps that uses the native device services. The authors present the idea of using user input and interaction within an app as contextual information, and how each app can identify and store contextual information. Design/methodology/approach Contexts are modeled as hierarchical objects that can be stored and shared by applications using native mechanisms. A proof-of-concept implementation of the model for the Android platform demonstrates contexts modelled as hierarchical objects stored and shared by applications using native mechanisms. Findings The model was found to be practically viable by implemented sample apps that share context and through a performance analysis of the system. Practical implications The contextual data-sharing model enables the creation of smart apps and services without being tied to any vendor’s cloud services. Originality/value This paper introduces a new approach for sharing context in smartphone applications that does not require cloud services.

Impact of AI regulation and governance on online personal data sharing: from sociolegal, technology and policy perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Sreenivasulu N.S.
Keyword(s):  
Data Sharing ◽  
Positive Impact ◽  
Personal Data ◽  
Content Type ◽  
Policy Perspective ◽  
Proposed Model ◽  
Pls Analysis ◽  
High Level ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this study is to investigate the impacts of regulations and governance of artificial intelligence (AI) on personal data sharing (PDS) in the context of sociolegal, technology and policy perspective. Design/methodology/approach With the help of theories and literature review, some hypotheses have been formulated and a conceptual model has been developed. These are statistically validated. The validated model has been compared again using impact of regulation and governance of AI as a moderator. The validation has been done using survey by PLS analysis. Findings The study found that there is a high level of positive impact of regulation and governance of AI on the online PDS by the users. Research limitations/implications This study has provided a statistical model which can provide the antecedents of PDS by the online users with the impact of AI regulation and governance as a moderator. The proposed model has explanative power of 92%. Practical implications The study highlighted that there is a necessity of having appropriate AI regulations so that users could share their personal data online without any hesitation. Policymakers and legal fraternity should work together to formulate a comprehensive AI regulation and governance framework. Originality/value To the best of the authors’ knowledge, there is no study on the impact of AI regulation and governance towards PDS and how it impacts on the security, privacy and trust of the online users.

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