693 research outputs found
The Role of Relationally Embedded Network Ties in Resource Acquisition of British Nonprofit Organizations
No full textAs nonprofit and charity organizations face increasing competition, there have been growing interests in how nonprofit organizations conduct commercial activities to raise funds as well as grow their business. However, there is lack of prior research about market-oriented and/or commercial activities in the context of nonprofit business. This study examines the process of how nonprofit organizations use relationally embedded network ties to acquire financial, human, and human capital resources to fulfill their social mission and achieve business growth. The study investigates commercial activity of three U.K.-based nonprofit organizations using the case study method. The findings contribute to insights into components of network ties for acquiring three different network resources of financial, human, and human capital. Nonprofit organizations leverage social mission to improve their ability to acquire network resources. The findings also suggest the charity and social mission of nonprofit business enhance trustworthiness in relationally embedded network ties for resource acquisition
Replication Data for: Meta-analytic investigations of structural grey matter, executive domain-related functional activations, and white matter diffusivity in obsessive compulsive disorder: An integrative review
No full textALE meta-analysis of fMRI studies conducted on 1)structural grey matter, 2) executive function task-related activations and 3) diffusion MRI studies on white-matter diffusivity between obsessive-compulsive disorder samples and control
AGV CHARGING AND SCHEDULING AT AUTOMATED CONTAINER PORT
No full textPh.DDOCTOR OF PHILOSOPHY (CDE-ENG
DISPATCHING METHODOLOGIES FOR INTERNAL TRANSPORTATION IN AUTOMATED WAREHOUSE
No full textPh.DDOCTOR OF PHILOSOPHY (CDE-ENG
Orthogonal Partial Least Squares - Discriminant Analysis in Metabolomic for Disease Characterization
No full textMaster'sMASTER OF SCIENC
The impact of environmental, social, and governance (ESG) factors on firm financial performance and stock prices: evidence from the FTSE Bursa Malaysia Emas index (FBMEMAS)
No full textThis dissertation examines the impact of ESG ratings on firm financial performance and stock prices among companies listed on the FBMEMAS Index from 2021 to 2023. ESG ratings are sourced from FTSE Russell, while financial performance is measured using ROA and ROE. Stock price performance is assessed based on the closing stock price at the end of each financial year.
The findings indicate that ESG ratings have no statistically significant relationship with financial performance, aligning with Atan (2018). However, ESG ratings show a negative relationship with stock prices, suggesting that investors may perceive ESG adoption as an additional cost burden, leading to lower stock price. This supports existing literature suggesting that while ESG investments may not yield immediate financial benefits, they can shape investor sentiment and contribute to long-term value creation (Gibson et al., 2020; Nirino et al., 2021).
A quantitative research approach is employed, using panel data regression models to address econometric concerns. The study applies Pooled Ordinary Least Squares (POLS), Fixed Effects (FE), and Random Effects (RE) models. Diagnostic tests, including the Breusch-Pagan heteroskedasticity test and the Hausman test, confirm the FE model as the most appropriate, effectively controlling for firm-specific heterogeneity and mitigating biases. The results validate that ESG ratings negatively impact stock prices but have no significant effect on ROA and ROE. These findings align with prior research suggesting that ESG adoption in emerging markets does not deliver immediate financial returns due to regulatory and structural challenges (Buallay, 2019; Lee et al., 2023).
This study contributes to the ESG-financial performance debate in emerging markets by providing empirical evidence from Malaysia. The findings highlight the need for firms to balance ESG commitments with financial objectives to align with investor expectations and regulatory requirements. Policymakers should enhance ESG disclosure standards to improve transparency and build investor confidence. Future research could explore long-term financial implications to provide a more comprehensive understanding of ESG adoption in Malaysia
The impact of environmental, social, and governance (ESG) factors on firm financial performance and stock prices: evidence from the FTSE Bursa Malaysia Emas index (FBMEMAS)
No full textThis dissertation examines the impact of ESG ratings on firm financial performance and stock prices among companies listed on the FBMEMAS Index from 2021 to 2023. ESG ratings are sourced from FTSE Russell, while financial performance is measured using ROA and ROE. Stock price performance is assessed based on the closing stock price at the end of each financial year.
The findings indicate that ESG ratings have no statistically significant relationship with financial performance, aligning with Atan (2018). However, ESG ratings show a negative relationship with stock prices, suggesting that investors may perceive ESG adoption as an additional cost burden, leading to lower stock price. This supports existing literature suggesting that while ESG investments may not yield immediate financial benefits, they can shape investor sentiment and contribute to long-term value creation (Gibson et al., 2020; Nirino et al., 2021).
A quantitative research approach is employed, using panel data regression models to address econometric concerns. The study applies Pooled Ordinary Least Squares (POLS), Fixed Effects (FE), and Random Effects (RE) models. Diagnostic tests, including the Breusch-Pagan heteroskedasticity test and the Hausman test, confirm the FE model as the most appropriate, effectively controlling for firm-specific heterogeneity and mitigating biases. The results validate that ESG ratings negatively impact stock prices but have no significant effect on ROA and ROE. These findings align with prior research suggesting that ESG adoption in emerging markets does not deliver immediate financial returns due to regulatory and structural challenges (Buallay, 2019; Lee et al., 2023).
This study contributes to the ESG-financial performance debate in emerging markets by providing empirical evidence from Malaysia. The findings highlight the need for firms to balance ESG commitments with financial objectives to align with investor expectations and regulatory requirements. Policymakers should enhance ESG disclosure standards to improve transparency and build investor confidence. Future research could explore long-term financial implications to provide a more comprehensive understanding of ESG adoption in Malaysia
Title, Author, Publisher, Place of Publication, and Language-related Network Graphs of the Berlin State Library Main Catalog
No full text<p>The dataset contains graphs in GML, GraphML, and a simple JSON format.</p>
<p>For each of the following languages:</p>
<ol>
<li>cze</li>
<li>dan</li>
<li>dut</li>
<li>eng</li>
<li>fre</li>
<li>fry</li>
<li>ger</li>
<li>gre</li>
<li>ice</li>
<li>ita</li>
<li>lat</li>
<li>nor</li>
<li>pol</li>
<li>por</li>
<li>rum</li>
<li>rus</li>
<li>slo</li>
<li>spa</li>
<li>swe</li>
</ol>
<p>two graphs are made available linking</p>
<ul>
<li>author, publisher, and place of publication</li>
<li>author, publisher, place of publication, and title</li>
</ul>
<p>Additionaly, a third graph links authors and publishers to the language of publication (incl. year of the publication).</p>
<p>The core statistics of each graph are outlined in <em>social_analysis_statistics.csv</em>. The smallest graph (fry, author_publisher_location) has 298 nodes and 264 edges, while the largest (ger, author_publisher_location_title) has 2,499,943 nodes and 3,950,900 edges.</p>
<p>The language graphs spans all languages and has 1,706,273 nodes and 1,827,759 edges.</p>
<p>All graphs have been created by a Python script available <a href="https://github.com/elektrobohemian/CulturalAnalytics/blob/master/SocialAnalysisStabikat.ipynb">here.</a></p>
The effects of advertising and brand value on future operating and market performance
No full textThis paper examines the joint effects of advertising and brand value on the firm's future operating and market performance. We operationalize future operating and market performance as future accounting returns and future stock returns, respectively. Our results show that both advertising and brand value improve future accounting returns at the firm level. The impact of advertising and brand value on future stock returns is minimal. We find that spending on advertising results in better brand sales and brand profitability. Brand value is also a good predictor of brand performance. Thus, we conclude that advertising and brand value benefit the brand and the firm through improved accounting performance.BusinessCommunicationSSCI5ARTICLE491-1003
Real-time collaboration for a block-based programming environment
No full textThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 123-124).StarLogo Nova is an online education platform for programming and visualizing 3D simulations and games. It has a custom programming language, a compiler, and graphical user interface for shows systems implemented with the programming language. Unlike most programming languages, however, StarLogo Nova uses a block-based programming front-end. This unique front-end leads to interesting challenges when adding new features to StarLogo Nova's programming editor. For this thesis, I designed and implemented a proof of concept real-time collaboration system that supports multi-user undo/redo. The related works, design, implementation, and future work are discussed in this thesis.by Denis Li.M. Eng
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