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604 results for “Teams”
The impact of top management team tenure heterogeneity on declining firm's innovation efficiency
<p>A firm maybe experiences a flourishing or declining period, and it also probably survives or even dies in future. Most firms have experienced decline in their development process. The impact of demand contraction and COVID-19 has caused more firms to face decline. Under the dilemma of resources reduction and recovery, the declining firm pays more and more attention to the efficient utilization of limited resources. It attempts to achieve turnaround through CEO substitution, adjustment of ownership concentration, innovation-oriented and other strategies. Based on Upper echelons theory and resource-based view, using the data of A-share listed manufacturing firms in Shanghai and Shenzhen from 2015 to 2019, the impacts of TMT tenure heterogeneity and ownership concentration on the innovation efficiency were investigated. The results show that the TMT tenure heterogeneity promotes the innovation efficiency of declining firms, while the relatively centralized ownership structure negatively moderates this effect. The robustness analysis of variable replacement and the solving of endogenous problem also further support this conclusion. This study not only enriches the application areas of Upper echelons theory, but also provides practical guideline for declining firms to replace top management members and to dilute equity in order to achieve recovery.</p>
Dataset and scripts for "Investigating the Cross-Repository Socially Connected Teams in Github"
<p>Dataset and scripts for "Investigating the Cross-Repository Socially Connected Teams in Github"</p> <p>README included in the files</p>
European Robotics League Consumer - Lisbon 2019 contest - SocRob team's files for task benchmarks
<p>Internal log files of the robot used by SocRob's team (from Instituto Superior Técnico) for the 4 Task Benchmarks performed at the ERL Consumer Lisbon 2019 contest.</p>
Data on concept 'Team of host country' in German, English and Russian
<p>This dataset contains the corpus of German, English and Russian utterances in which the concept <em>team of host country</em> is expressed. The corpus was collected during the 2019 IIHF Ice Hockey World Championship from the articles devoted to this tournament which were published on the webpages of German, English and Russian mass media.</p>
NARPS Team Results for Analysis
<p>Data submitted by all participants in the Neuroimaging Analysis Replication and Prediction Study, along with results from prediction markets and metadata for analysis pipelines.</p>
Fig. 1 in Import and export of biological samples from tropical countries-considerations and guidelines for research teams
Fig. 1 Scheme illustrating the work flow for preparation and steps to consider for a project involving biological sampling and transportation with relevance for ABS (modified after DFG 2008)
Fig. 2 in Import and export of biological samples from tropical countries-considerations and guidelines for research teams
Fig. 2 Overview of regulations to be considered, in the country of origin (e. g. ABS, PIC, MAT, export permits), during transport (e. g. IATA), and for import (e. g. CITES and national legislation, health legislation)
Retrieved studies for Impacts of the Adoption of Hybrid Work on Collaboration in Information Technology Teams
<p>Retrieved studies for Impacts of the Adoption of Hybrid Work on Collaboration in Information Technology Teams</p>
Online Appendix of the Paper "The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams"
<h2>GENERAL INFORMATION</h2> <div>In our publication “<em><strong><a href="https://doi.org/10.1016/j.jss.2024.112243">The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams</a>,”</strong></em> in the Journal of Systems and Software, we present an exploratory case study conducted in a large software organization, AFAS Software. Our study investigates the influence of the development paradigm and the formality of communication channels on written communication within hybrid development teams. Our main research question is: <em>“<strong>How do the employed development paradigm and the formality of the communication channel impact the written communication content within hybrid software development teams?”</strong> </em>To address the main research question, we operationalize communication content through a coding scheme comprising codes derived from the Project Management Life Cycle (PMLC), the Software Development Life Cycle (SDLC), and speech acts types, which leads to the following sub-research questions:</div> <ul> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the content of written communication pertaining to the Project Management Life Cycle phases? </em><em>(RQ1A & RQ1B)</em></li> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the content of written communication pertaining to the Software Development Life Cycle phases? </em><em>(RQ2A & RQ2B)</em></li> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the use of speech acts types in written communication? (RQ3A & RQ3B)</em></li> </ul> <div>To answer these research questions, we test the following hypotheses regarding the PMLC, the SDLC, and speech acts types:</div> <div> </div> <div><em><strong>The content of written communication within a development team</strong></em></div> <div> <ul> <li><strong>H1</strong>: is affected by the development paradigm. <ul> <li><strong>H1.1</strong>: in formal communication channels is affected by the development paradigm.</li> <li><strong>H1.2:</strong> in informal communication channels is affected by the development paradigm.</li> </ul> </li> </ul> </div> <div><em><strong>The content of written communication within</strong></em></div> <div> <ul> <li><strong>H2:</strong> a development team is affected by the formality of the communication channel. <ul> <li><strong>H2.1:</strong> a non-agile development team is affected by the formality of the communication channel.</li> <li><strong>H2.2:</strong> an agile development team is affected by the formality of the communication channel.</li> </ul> </li> </ul> </div> <div>This online appendix contains supplementary material to uphold transparency and facilitate the reproduction of the statistical analysis. For more information, refer to the publication:</div> <ul> <li>Section 2.5 for the projects sampling</li> <li>Section 2.6 for data extraction and preparation</li> <li>Section 2.7 for the coding scheme and data analysis</li> </ul> <p><strong>Software Dependencies: </strong></p> <ul> <li>PDF Viewer (e.g. Acrobat Reader)</li> <li>IBM SPSS</li> <li>Microsoft Excel</li> <li>Python</li> </ul> <h2>FILES OVERVIEW</h2> <h3>JSS Online Appendix</h3> <div>The root folder includes the <strong>“Project Teams Composition.pdf</strong><em><strong>”</strong></em> file, which contains the anonymized compositions of 20 project teams: 11 agile (PrAG) projects and 9 waterfall (PrWF) projects. This file lists the project team members involved in communication within the Microsoft Teams and Insite channels. </div> <h3>Subfolder “SPSS Files”</h3> <div>This subfolder includes the SPSS files, which contain the normality test and Mann-Whitney U Tests. </div> <div> <ul> <li><strong>Normality Test.spv</strong>: This file contains the results of the normality test.</li> </ul> </div> <div>We performed the normality test. In most cases, the significance of Shapiro-Wilk is below 0.05; thus, the data is not normally distributed and fails to meet the assumption for the t-test. We, therefore, opted for the Mann-Whitney U test, the non-parametric alternative of the t-test.</div> <div> </div> <div>The files below contain the results of Mann-Whitney U Tests, which are presented in Appendix A - Tables A.7 (a), A.8 (a), A.9 (a):</div> <ul> <li><strong>H1 - PrAG vs PrWF Product.spv</strong>: This file contains the results for hypothesis 1. </li> <li><strong>H1.1 - PrAG vs PrWF Formal.spv</strong>: This file contains the results for hypothesis 1.1.</li> <li><strong>H1.2 - PrAG vs PrWF Informal.spv</strong>: This file contains the results for hypothesis 1.2.</li> </ul> <div>The files below contain the results of Mann-Whitney U Tests, which are presented in Appendix A - Tables A.7 (b), A.8 (b), A.9 (b):</div> <ul> <li><strong>H2 - PrAG vs PrWF Formality.spv</strong>: This file contains the results for hypothesis 2.</li> <li><strong>H2.1 - PrWF Formal vs Informal.spv</strong>: This file contains the results for hypothesis 2.1.</li> <li><strong>H2.2 - PrAG Formal vs Informal.spv</strong>: This file contains the results for hypothesis 2.2.</li> </ul> <h3>Subfolder “Excel Files”</h3> <div>This subfolder includes the necessary files to perform calculations and the results of these calculations.</div> <ul> <li><strong>JSS Paper.xlsx</strong>: This file contains the absolute numbers, which are used as input for the calculations.</li> <li><strong>JSS-Statistics.py</strong>: This Python script uses the <strong>“</strong><strong>JSS Paper. xlsx<em>”</em></strong><em><strong> </strong></em>file to perform calculations based on the hypotheses for Project Life Cycle Management (PMLC), Software Development Life Cycle (SDLC), and Speech Acts.</li> </ul> <div>The files below contain the results of the calculations:</div> <ul> <li><strong>PMLC (RQ1A & RQ1B)_v1.xlsx:</strong> This file contains the results for the PMLC phases. The results are presented in Appendix A.1.</li> <li><strong>SDLC (RQ2A & RQ2B)_v1.xlsx:</strong> This file contains the results for the SDLC phases. The results are presented in Appendix A.2.</li> <li><strong>Speech Acts (RQ3A & RQ3B)_v1.xlsx:</strong> This file contains the results for the speech act types. The results are presented in Appendix A.3.</li> </ul> <h2>DATA ACCESS AND SHARING</h2> <div><strong>Recommended citation for this dataset:</strong> Ly, D., Overeem, M., Brinkkemper, S., Dalpiaz, F., 2024. Online Appendix of the Paper “The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams”. [Data set]. In The Journal of Systems and Software. Zenodo. doi: 10.5281/zenodo.13894086.</div> <div> </div> <div><strong>License information:</strong><em><strong> </strong></em>Creative Commons Attribution 4.0 International</div>
DataSet for article: TEAM BASED LEARNING AS A STRATEGY OF WORKING IN THE CLASSROOM
<p>Archive with the references of the RSL carried out in the article TEAM BASED LEARNING AS A STRATEGY OF WORKING IN THE CLASSROOM.</p>
Patient reviews data by MPU team
<p>This dataset is privacy-treated patient review data and is restricted to scientific research only. We publicize more than 100,000 real patient review data, and the review language is Chinese. In addition, we provide an extra 500 sample data, which is used to help researchers understand the content of our articles. We publicize such a large amount of dataset in order to facilitate all researchers to be able to conduct scientific research in any direction in order to advance science.</p>
Dataset for "Multimodal Translation in YouTube Shorts from Spanish Football Teams"
Open the record for dataset details and reuse information.
Supporting Students in Team-Based Software Development Projects: An Exploratory Study - Dataset
<p>Dataset for the paper "Supporting Students in Team-Based Software Development Projects: An Exploratory Study"</p>
Do Agile Scaling Approaches Make A Difference? An Empirical Comparison of Team Effectiveness Across Popular Scaling Approaches
<p>This bundle contains supplementary materials for an upcoming academic publication <em>Do Agile Scaling Approaches Make A Difference? An Empirical Comparison of Team Effectiveness Across Popular Scaling Approaches?</em>, by Christiaan Verwijs and Daniel Russo. Included in the bundle are the dataset and SPSS syntaxes. This replication package is made available by C. Verwijs under a "Creative Commons Attribution Non-Commercial Share-Alike 4.0 International"-license (CC-BY-NC-SA 4.0).</p> <p><strong>About the dataset</strong></p> <p>The dataset (SPSS) contains anonymized response data from 15,078 team members aggregated into 4,013 Agile teams that participated from <a href="https://scrumteamsurvey.org">scrumteamsurvey.org</a>. Stakeholder evaluations of 1,841 stakeholders were also collected for 529 of those teams. Data was gathered between September 2021, and September 2023. We cleaned the individual response data from careless responses and removed all data that could potentially identify teams, individuals, or their parent organizations. Because we wanted to analyze our measures at the team level, we calculated a team-level mean for each item in the survey. Such aggregation is only justified when at least 10% of the variance exists at the team level (Hair, 2019), which was the case (ICC = 35-50%). No data was missing at the team level.</p> <p>Question labels and option labels are provided separately in Questions.csv. To conform to the privacy statement of <a href="https://scrumteamsurvey.org">scrumteamsurvey.org</a>, the bundle does not include response data from before the team-level aggregation.</p> <p><strong>About the SPSS syntaxes</strong></p> <p>The bundle includes the syntaxes we used to prepare the dataset from the raw import, as well as the syntax we used to generate descriptives. This is mostly there for other researchers to verify our procedure.</p>
Supplemental Material for "Objectives and Key Results in Software Teams: Challenges, Opportunities and Impact on Development"
<p>This package contains the research materials that were used for the paper "Objectives and Key Results in Software Teams: Challenges, Opportunities and Impact on Development".</p> <ul> <li><strong>Survey on Goals and Objectives.docx</strong> contains the survey instrument that was used for the study.</li> </ul>
Newlaw Hill 4 (Team 77572), Galloway
Recorded as Newlaw 4 (Canmore 77572, ScRAP 1170) by van Hoek. Recorded and modelled for ScRAP by the Kirkcudbright Rock Art Team Source: Objaverse 1.0 / Sketchfab
Outcome Evaluation of Solutions for Wellness and Team Solutions Program in Patients With Severe Mental Illness
ClinicalTrials.gov study NCT00661869. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Prostatic Obstruction Investigation Team Multicenter Study
ClinicalTrials.gov study NCT03394651. IPD Sharing: Not stated. Countries: 1. Publications: 1.
My Exercise. A Team-based Workplace Intervention for Increased Exercise
ClinicalTrials.gov study NCT02429635. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Feasibility and Initial Clinical Impressions of Predictive Monitoring Integrated With the RACE Team
ClinicalTrials.gov study NCT05108376. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.