Digital Commons Network^™

Computer-Mediated Communication And Artificial Intelligence Strategies In Arts Entrepreneurship, Anna Blake

Journal of Arts Entrepreneurship Education

This study analyzes the potential of artificial intelligence (AI) using computer-mediated communication (CMC) theory to prospect areas for innovation in an emerging field that is rapidly becoming integrated within our everyday lives as well as in the marketplace. In order to demonstrate how arts entrepreneurs can effectively and ethically leverage AI technologies to communicate with their audiences and stakeholders, I examine as case studies the work of individual artists including Grimes. The CMC framework is used to examine art as a form of communication, illustrate how AI changes the nature of art, challenge the extant concepts of identity and intellectual …

Navigating Transdisciplinary Communication: A Graduate Student's Perspective, Sirimuvva Pathikonda, James Lipuma, Cristo Leon

STEM for Success Resources

Discover "Navigating Transdisciplinary Communication: A Graduate Student’s Perspective," a comprehensive exploration of how diverse disciplines converge to tackle complex challenges. This study, presented at WMSCI 2024, employs a Constructivist lens to highlight the co-construction of knowledge, innovative teamwork tools, and practical strategies for research in STEM and beyond. Co-authored by Sirimuvva Pathikonda, MEM, and James Lipuma, Ph.D., the paper underscores the value of Transdisciplinary Communication (TDC) in fostering collaboration, innovation, and holistic problem-solving across fields. Read the full article here: https://doi.org/10.54808/JSCI.22.06.151.

Utilizing Large Language Models To Synthesize Product Desirability Datasets, John D. Hastings, Sherri Weitl-Harms, Joseph Doty, Zachary L. Myers, Warren Thompson

Research & Publications

This research explores the application of large language models (LLMs) to generate synthetic datasets for Product Desirability Toolkit (PDT) testing, a key component in evaluating user sentiment and product experience. Utilizing gpt-4o-mini, a cost-effective alternative to larger commercial LLMs, three methods, Word+Review, Review+Word, and Supply-Word, were each used to synthesize 1000 product reviews. The generated datasets were assessed for sentiment alignment, textual diversity, and data generation cost. Results demonstrated high sentiment alignment across all methods, with Pearson correlations ranging from 0.93 to 0.97. Supply-Word exhibited the highest diversity and coverage of PDT terms, although with increased generation costs. Despite minor …

Re-Imagining Technical Communication Concepts Through A Social Work Lens: A Case Study And Content Analysis Of The Department Of Aging And Rehabilitative Services, Jonas Kee

Masters Theses, 2020-current

This thesis highlights how traditional technical communication concepts such as social justice rhetoric, disability studies, and user experience (UX) are re-imagined through the lens of Department of Aging and Rehabilitation Services (DARS) professionals. In this thesis, I present information gathered from a content analysis focused on four documents used within the DARS office, a survey, and interviews administered to DARS Vocational Rehabilitation (VR) counselors. This thesis analyzes the documents, survey, and interview questions through the experiences of DARS professionals, clients, and external stakeholders. This thesis concludes with business and pedagogical implications regarding the field of UX and how to effectively …

Career Preparation In English And Creative Writing, Katherine Fischer

Honors Projects

The information presented within this Honors Project considers and evaluates career preparation within English and Creative Writing (CW) majors. The project is divided into three parts titled Business Curriculum, Field Research, and Connections with Businesses. The Business Curriculum section analyzes how the Schmidthorst School of Business career preparation curriculum can be applied to the CW or English major; the Field Research section explores current CW and English students’ perceptions of career preparation at BGSU; and the Connections with Businesses section discovers businesses regional to BGSU for potential future experiential learning opportunities. Ultimately, the results of the project's sections include: a …

The Impact Of Prophet Ibrahim’S Supplications In The Qur’An On The Flourishing Of Islamic Pilgrimage, Tariq H. M. Elhadary, Razaq Raj

International Journal of Religious Tourism and Pilgrimage

The supplications of Prophet Ibrahim (pbuh) in the Qur’an have had a significant impact on the flourishing of Islamic Pilgrimage and have also provided spiritual guidance for those who visit these sacred sites. Through his supplications, Prophet Ibrahim (pbuh) expressed his love for the sacred places associated with the Islamic faith. His prayers for both the visitors and residents of these places, are believed to invoke divine blessings and protection upon them. Prophet Ibrahim’s supplications in the Qur’an also encouraged Muslim pilgrims (often referred to as religious tourists) to visit these holy sites by reminding them of the great rewards …

Pilgrimage And Tourism Marketing Concepts, Prospects, And Challenges In Two Developing Countries: Bangladesh And Ghana, Md. Javed Kawsar, Michael Evans, Rashed Khan

International Journal of Religious Tourism and Pilgrimage

This contextual paper analyses the significance of pilgrimage and tourism marketing concepts, prospects, and challenges in two developing countries, Ghana in the West of Africa, and Bangladesh in the South of Asia. The focus of this study is to assess the present marketing and promotion of tourism in the two countries which are different in population size, economy, and tourism contribution towards each country’s GDP.

Within the context of nature-based tourism initiatives in Bangladesh, it is imperative to measure future prospects of tourism marketing ventures related to pilgrimage. The development of marketing for tourism can be helpful for delivering stability …

Dark Tetrad Personality And Earnings Management: The Moderating Effect Of Corporate Reputation, Alan Diógenes Góis, Gerlando Augusto Sampaio Franco De Lima, Márcia Martins Mendes De Luca, Giorgio Gotti

School of Accountancy Faculty Publications

Objective: The purpose of this study is to investigate the moderating effect of corporate reputation on the relationship between the Dark Tetrad personality and earnings management.

Method: Two approaches were adopted: one archival and one experimental. In the archival approach, 434 firms (2,645 observations) headquartered in the US were analyzed, covering the period 2010-2017. Earnings management was proxied by accruals quality, reputation was proxied by the score on the ranking of the World’s Most Admired Companies, and Dark Tetrad personality was based on CEO speech and ‘Big Five’ personality analysis. In the experimental approach, we used a 2x2 between-subjects design …

Using Llms To Establish Implicit User Sentiment Of Software Desirability, Sherri Weitl-Harms, John D. Hastings, Jonah Lum

Research & Publications

This study explores the use of LLMs for providing quantitative zero-shot sentiment analysis of implicit software desirability, addressing a critical challenge in product evaluation where traditional review scores, though convenient, fail to capture the richness of qualitative user feedback. Innovations include establishing a method that 1) works with qualitative user experience data without the need for explicit review scores, 2) focuses on implicit user satisfaction, and 3) provides scaled numerical sentiment analysis, offering a more nuanced understanding of user sentiment, instead of simply classifying sentiment as positive, neutral, or negative.

Data is collected using the Microsoft Product Desirability Toolkit (PDT), …

Financing White Rule: How Luxembourg Became A Banker For The Belgian Congo And Apartheid South Africa, Samuel Weeks

College of Humanities and Sciences Faculty Papers

In this article, I offer a historical analysis of how bankers in Luxembourg came to be important service providers to borrowers in the Belgian Congo and Apartheid South Africa. I demonstrate how a series of unique political and cultural factors linking Luxembourg and these two (neo)colonial regimes account for the financial activities that developed between the three jurisdictions. As such, I show that officials in the Belgian Congo and Apartheid South Africa were able to count on their Luxembourg-based bankers for a variety of finance-related services, including the provision of Eurocurrency loans and the formation of offshore companies. In doing …

Everyone Brings Something To The Table: A Culturally Sustaining Analysis Of Teacher Candidates’ Mixed Reality Teaching Simulations, Erin Scott

Faculty Publications

Discussions of HBCU students’ content knowledge have centered around developing high impact, asset-based approaches to learning (Williams et al, 2022). So, HBCU teacher preparation providers (TPPs) can also focus efforts on culturally sustaining approaches to developing candidates’ content knowledge and researching how high impact practices, like teaching simulations, can help prepare candidates for classrooms. This exploratory case study uses critical cases (n=2); findings suggest candidates have a developing understanding of content, which forms a solid basis for increasing their knowledge. MRTSs are addressed as a potential high impact, culturally sustaining practice for building candidates’ content knowledge. Further, HBCU TPPs can …

How Millennials Make Investment Decisions: Financial Literacy And Financial Behavior, Dewi Tamara, Anita Maharani

Economics and Finance in Indonesia

This study investigates the effect of financial literacy, financial attitude, risk perception, and financial behavior on investment decisions. Employing a survey method with 342 respondents in Jakarta, the findings reveal that financial literacy has a negative and insignificant effect on investment decisions. In contrast, risk perception plays a crucial role in influencing investment decisions. Furthermore, financial behavior has an indirect mediating effect between financial literacy and risk perception on investment decisions but does not affect financial attitude. This study concludes that risk perception and financial behavior are important factors in investment decisions. Future research may consider incorporating other variables such …

Analysis Of The Impact Of Economic Integration Of Regional Trade In African Countries, Dr. Hussaini Abdullahi

CBN Journal of Applied Statistics (JAS)

This study assesses the impact of economic integration on regional trade in African countries from 1980 to 2023. Employing a panel Generalized Method of Moments (GMM) technique, we analyzed trade patterns and integration policies using data from World Development Indicator (WDI), the findings reveal a negative association between economic integration and regional trade, suggesting that integration efforts may not be achieving the desired increase in regional trade. Economic integration may cause trade diversion, leading countries to import from less efficient regional producers, thus reducing overall trade volume. Non-tariff barriers and structural similarities among economies can limit the benefits of integration. …

Empowering Community Leaders To Drive Sustainable Tourism And Small Business Development In Dangriga, Belize, Philip Nunez

Economics Undergraduate Honors Theses

This paper discusses the complexities of tourism development in Dangriga, Belize and how simple efforts can greatly impact small businesses in Central America.

Identification Of Distressed Real Estate Properties Using Natural Language Processing/Machine Learning, Pavithra Sirigiri

Electronic Theses, Projects, and Dissertations

The Real Estate industry is a great asset class that involves constructing, buying, and selling property. Although technology has made significant progress in buying and selling real estate properties online, via Zillow and Redfin, the ways to find distressed real estate properties as an investment opportunity seem to be lacking. This culminating experience project explored how to use machine learning to classify a property as distressed or non-distressed. The research questions are: Q1. How can Natural Language Processing methods like Latent Dirichlet Allocation (LDA) be leveraged to identify distressed and non-distressed real estate properties? (Tijare & Rani, 2020) and Q2. …

The Impact Of Benevolent Sexism On Evaluations Of Female Leaders, Daniella A. Lockhart

Electronic Theses, Projects, and Dissertations

This study investigated the impact of benevolent sexism beliefs on evaluations of female leadership candidates in hiring decisions, as well as the moderating effects of occupational gender composition and the gender of the comparison candidate. While seemingly positive, benevolent sexism subtly reinforces traditional gender roles by portraying women as warm but less competent, particularly in leadership roles where competence is crucial. The data in this study was collected from 146 participants via an online questionnaire using MTurk and snowball sampling. Aligning with previous research on gender bias, results indicated that benevolent sexism negatively impacts perceptions of competence and warmth, especially …

Comparative Assessment Of Machine Learning And Deep Learning Models For Drug Effectiveness Using Sentiment Analysis, Blessing Ogechukwu Nwogu

Electronic Theses, Projects, and Dissertations

In recent years, the proliferation of online patient-generated drug reviews has created a valuable resource for assessing drug effectiveness and patient satisfaction, with sentiment analysis emerging as a powerful tool for extracting insights from this unstructured data.

This culminating research project conducted a comparative analysis of traditional Machine Learning (ML) and Deep Learning (DL) models for assessing drug effectiveness using sentiment analysis of participant reviews. The research aimed to evaluate the performance of Support Vector Machine (SVM), XGBoost, Random Forest, Long Short-Term Memory (LSTM), and Bidirectional Encoder Representations from Transformers (BERT) models in this context. This culminating research project addressed …

Using Ai Tools To Unmask Sarcasm, Sidra Tehniyath Lnu

Electronic Theses, Projects, and Dissertations

Sarcasm can be identified in newspaper headlines in digital communication, as it is contextual and has low inter- and intra-observer reliability. This research aims to improve sarcastic comment identification using a natural language processing approach, especially the BI-LSTM. The primary concern is to use fine-tuning methods to enhance the ways that strengthen the sarcasm identification rate, which regards the factors that complicate an automatic identification process. The study explores the impact of techniques such as early stopping, optimal loss function selection, and hyperparameter tuning to enhance the model's performance. The research questions are: Q1) How can fine-tuning techniques for BI-LSTM …

Smart Heuristics In Business Relationships: Toward A Typology, Jochen Reb, Nilotpal Jha

Research Collection Lee Kong Chian School Of Business

Purpose – The purpose of this paper is to develop a typology of heuristics in business relationships. We distinguish between four categories: (1) general heuristics used in the context of a business relationship but that may also (and are often) used in other contexts; (2) relational context heuristics that are typically used in a relational context; (3) relational information heuristics that rely on relational information and (4) genuine relational heuristics that use relational information and are applied in relational contexts. Design/methodology/approach – We draw on existing literature on heuristics and business relationships to inform our conceptual paper. Findings – We …

2024 December, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for December of 2024.

Generative Artificial Intelligence In Business Higher Education: A Focus Group Study, Xuenan Huo, Keng Siau

Research Collection School Of Computing and Information Systems

This research investigates the opportunities and challenges of integrating generative artificial intelligence (GenAI) into business higher education, drawing insights from an asynchronous focus group research study with doctoral students who serve dual roles as both learners and educators. Key opportunities identified through thematic analysis include knowledge acquisition, intelligent co-ideation, supportive augmentation, and personalized learning. Challenges identified include AI trustworthiness, cognitive dependency, human value, policy and instruction, assessment integrity, and identity management. This study clarifies GenAI’s specific role in business education and provides practical insights for effectively integrating GenAI to enhance learning outcomes and address emerging challenges. An analysis theory on …

Implementation Of Total Quality Management To Improve Operational Efficiency And Customer Satisfaction In Lebanese Industries, Mohamad Nassif Nehme, Moulham Abouibrahim, Nada Jabbour Al Maalouf

Arab Economic and Business Journal

In today's dynamic business landscape, organizations are constantly seeking ways to improve their performance. Total Quality Management (TQM) is a popular strategy for organizational excellence. This paper aims to explore the relationship between TQM implementation, operational efficiency, and customer satisfaction in Lebanon's industry sector; specifically in the Food and Beverage, paints and coatings, and stove manufacturing sectors. The paper is based on a deductive approach. A mono-method approach is used to collect data from a sample of 100 professionals operating in various industrial companies in Lebanon, using structured questionnaires. The findings revealed that TQM has a positive impact on both …

The Review Of The Book “Employer Branding – Eine Wissenschaftliche Analyse Des State-Of-The Art Empirischer Untersuchung Im Bereich Employer Branding” Written By Peter Kuhn, Anna Jędrzejczyk

Journal of Marketing and Consumer Behaviour in Emerging Markets

The review of the book “Employer Branding – Eine wissenschaftliche Analyse des State-of-the Art empirischer Untersuchung im Bereich Employer Branding” written by Peter Kuhn

Regulating Chatbot Output Via Inter-Informational Competition, Jiawei Zhang

Northwestern Journal of Technology and Intellectual Property

The advent of ChatGPT has sparked over a year of regulatory frenzy. Policymakers across jurisdictions have embarked on an AI regulatory “arms race,” and worldwide researchers have begun devising a potpourri of regulatory schemes to handle the content risks posed by generative AI products as represented by ChatGPT. However, few existing studies have rigorously questioned the assumption that, if left unregulated, AI chatbot’s output would inflict tangible, severe real harm on human affairs. Most researchers have overlooked the critical possibility that the information market itself can effectively mitigate these risks and, as a result, they tend to use regulatory tools …

Between Copyright And Computer Science: The Law And Ethics Of Generative Ai, Devin R. Desai, Mark Riedl

Northwestern Journal of Technology and Intellectual Property

Copyright and computer science continue to intersect and clash, but they can coexist. The advent of new technologies such as digitization of visual and aural creations, sharing technologies, search engines, social media offerings, and more, challenge copyright-based industries and reopen questions about the reach of copyright law. Breakthroughs in artificial intelligence research, especially Large Language Models that leverage copyrighted material as part of training, are the latest examples of the ongoing tension between copyright and computer science. The exuberance, rush-to-market, and edge problem cases created by a few misguided companies now raises challenges to core legal doctrines and may shift …

Experiences Of Using Electronic Medical Records Among Patients From Ethnic Minority Backgrounds: A Rapid Review, Corey Adams, Reema Harrison, Alison Merchant, Narelle Arblaster, Tracey Bucknall, Kathleen Gray, Guncag Ozavci, Nilmini Wickramasinghe, Vicky Yuan, Elizabeth Manias

Patient Experience Journal

This study explores the experiences of individuals from ethnic minority backgrounds using electronic medical records (EMRs) and identifies strategies to improve the inclusivity and usability of EMRs, aiming to reduce the digital divide in their access and use. A rapid review of the literature was conducted using Medline, Embase, and CINAHL databases to identify relevant studies published between 2010 and November 2023, with the assistance of a medical librarian.

A total of 44 studies were included in the review, revealing significant disparities in EMR adoption and utilization among ethnic minority groups. Three key themes of inequality were identified: presentation of …

Gender, Age, Class And Racial Stereotypes, And Power Relations In Television Ads: 2011-13 Vs 2021-22, Thomas D. Clark, Julie Stewart

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

This article demonstrates how faculty and DEI experts can use resources included in this paper to highlight how a range of stereotypes are created and reinforced in television ads, and it identifies several topics for future analysis. To understand how depictions of gender, class, age, and race intersect in 8 television ads featuring the relationship between the race of individuals depicted in romantic and platonic relationships this article examines 4 pairs of commercials from 2011-2013 and 2021-2022. Drawing on concepts of intercategorical complexity, it describes product, setting, characters and relationships to help gain a deeper understanding of how various stereotypes …

The Influence Of News Media On Esg Ratings: Analyzing Media Sentiment Around Esg Rating Changes, David Beverly

Dissertations

This dissertation investigates the complex relationship between media sentiment and Environmental, Social, and Governance (ESG) ratings, a pressing issue highlighted by the lack of transparency in the adjustments to ratings from some agencies and not others. The research aims to empirically examine the extent to which news media narratives influence ESG scores and contribute to discrepancies among rating agencies. With ESG investing becoming increasingly significant, as evidenced by the rise in global assets under management in ESG funds, the accuracy and reliability of ESG scores are of increasing importance to investors, policymakers, and academics.

The study explores the potential of …

Ai And Creativity: Effects Of Culture And Task Emotiveness In Human-Ai Collaboration, Choon Ngee Tan

Dissertations and Theses Collection (Open Access)

Creativity is the driving force behind innovation, propelling individuals and societies toward progress by generating novel ideas and groundbreaking solutions. The emergence of generative AI models, exemplified by GPT-3, offers opportunities to enhance human creativity. This paper explores the potential for unprecedented breakthroughs through the synergy between human intuition and AI-driven creativity, providing practical guidance on leveraging AI to amplify creative capacities. Study 1 finds that AI models trained on data from the U.S. and Chinese cultures exhibit cultural norms, values and cognition of those cultures. Study 2 finds that when humans and AI models of the same culture collaborate …

The Indirect Effects Of Authentic Value And Attitude Toward Food Vlogs On The Link Between Trustworthiness And Visit Intentions: A Serial Mediation Analysis, Jean Paolo Lacap, Ronnie Moranas, Kristina Paula Domasig, April Irish Rey, Trishia Nicole Perlas

The South East Asian Journal of Management

Research Aims: The current study investigates how food vloggers’ trustworthiness influences viewers’ visit intention toward the featured food destination. Furthermore, it examines whether food vlogs’ authentic value and viewers’ attitudes toward food vlogs serially mediate the link between source trustworthiness and visit intentions.

Design/Methodology/Approach: The respondents were identified using a purposive sampling technique. Causal-predictive research design and path modelling via partial least squares was employed to measure the hypothesised relationships.

Research Findings: Source trustworthiness has a significant and positive influence on attitudes toward food vlogs and food vlog’s authentic value. Additionally, the food vlog’s authentic value was found to have …