Business Commons^™

The Role Of Corporate Sustainability Goals In Shaping Organizational Intentions And Adoption Of Green Technologies In Small- And Medium-Sized Enterprises, Syed Zamberi Ahmad, Abdul Rahim Abu Bakar, Imane Belyamani, Manar Fawzi Bani Mfarrej

All Works

This study investigates green technology adoption (GTA) among small and medium-sized enterprises (SMEs) in the United Arab Emirates (UAE), focusing on the influence of corporate sustainability goals (CSG) and sustainability motivation (SM). Utilizing institutional theory, the theory of planned behavior (TPB), and resource-based view (RBV), the research highlights how SMEs integrate environmental, social, governance (ESG) and economic considerations into their CSG to enhance GTA. Addressing a gap in prior research that has largely emphasized external drivers of adoption while underexploring internal organizational mechanisms, the study conceptualizes CSG as strategic intent and models SM as a second-order construct . Based on …

The Application Of Machine Learning And Deep Learning On Demand Forecasting Across Time-Critical Industries: A Systematic Review, Asmaa Seyam, Sujith Samuel Mathew, May El Barachi, Cheng Zhang, Jun Shen

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The applications of machine learning and deep learning in demand forecasting have attracted increasing attention, as they offer remarkable predictive capabilities that help automate forecasting processes and achieve higher accuracy. While numerous review studies have examined solutions within specific industries, there is a lack of comprehensive literature review investigating these solutions across different sectors. Therefore, this study overviews machine learning and deep learning applications in demand forecasting across time-critical industries, including power, tourism, water, transportation, and food. A two-tier classification framework is proposed to categorize demand forecasting studies by both application industry and methodological architecture. In addition, the most popular …

Uncovering Customer Sentiment And Brand Perception By Leveraging Large Language Models: A Case Study In The Automotive Industry, Sujith Samuel Mathew, Kadhim Hayawi, Faseela Abdullakutty, Neethu Venugopal, May El Barachi

All Works

Analyzing customer perceptions has become increasingly important in the automotive industry as it provides actionable insights into consumer satisfaction, preferences, and areas requiring improvement. This study proposes a novel perception analysis framework for automotive reviews using advanced Large Language Models (LLMs), including BERT, FLAN-XXL, and Mistral 7B, leveraging zero-shot learning to categorize reviews without task-specific training data. The framework follows a two-stage evaluation process, beginning with zero-shot perception classification and followed by a detailed topic-wise perception analysis. Model performance was evaluated using accuracy, precision, recall, and F1-score across reviews from five major automotive brands—Toyota, Kia, Honda, Nissan, and Hyundai. While …

Daniels Distinction Portfolio By Adrian Minde Hunshammer, Adrian Minde Hunshammer

Finance: Undergraduate Distinction Portfolios

A Daniels Distinction Portfolio of experiential education by Adrian Hunshammer.

Trust Asymmetry And Cross-Border Merger Withdrawals: A Global Perspective, Muhammad Farooq Ahmad, Saqib Aziz, Rwan El-Khatib, Duc Khuong Nguyen

All Works

We empirically examine how trust asymmetry between countries can impact the cross-border merger outcome. Differing trust perceptions between acquirer and target countries can increase the complexities of deal negotiations and integration, constraining the successful deal completion and outcome. We find, in a comprehensive global sample of 56 countries spanning 37 years, that higher trust asymmetries between the acquirer and target countries significantly increases the cross-border merger withdrawal intensity and reduces the expected synergy gains. Moreover, the adverse effects of trust asymmetry are significantly attenuated by the quality of institutions in both countries. Our results hold after employing various empirical techniques …

Predicting Takeover Rumor Accuracy With Machine Learning, Hamed Khadivar, Frederick Davis, Ameneh Khadivar, Ivan Stetsyuk

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This study applies machine learning models such as TabNet, XGBoost, CatBoost, Support Vector Machines, a Multilayer Perceptron, and Logistic Regression to predict takeover-rumor accuracy using a proprietary dataset of 2074 rumor articles with identifiable target firms, screened from over 30,000 news articles from January 2002 to December 2011. In the raw feature (no-PCA) specification, Logistic Regression and TabNet perform similarly. After addressing class imbalance and applying dimensionality reduction (PCA), TabNet materially outperforms Logistic Regression and delivers economically meaningful gains: A TabNet-based long-short strategy earns higher average monthly abnormal returns than a Logistic Regression strategy at both horizons, 1.148% versus 0.773% …

Strategic Intent And International Corporate Entrepreneurship: The Role Of Learning Climate And Entrepreneurial Leadership In A Developing Economy, Maytha Al Ali, Muhammad Usman, Ilknur Ozturk

All Works

In today's fast-paced global economy, born-global SMEs must rapidly develop strategic capabilities to compete on the international stage. Understanding how these firms cultivate entrepreneurial behavior across borders is critical for sustaining competitive advantage. However, limited research has systematically examined the mechanisms and boundary conditions through which strategic intent translates into international entrepreneurial outcomes, particularly in developing economy contexts such as Pakistan. Drawing on dynamic capabilities theory, this study explores how the strategic intent of born-global firms drives international corporate entrepreneurship (ICE). We propose that a supportive learning climate acts as a key mechanism through which strategic intent translates into ICE. …

Rethinking Covid-19 Tourism Recovery, Anestis Fotiadis, Efstathios Polyzos, Tzung Cheng Huan

All Works

No abstract provided.

Corporate Labor Violations: Do Ceos’ Public Charity Affiliations Matter?, Mariem Khalifa, Mehdi Khedmati, Mohammed Aminu Sualihu, Alfred Yawson

All Works

We examine the impact of CEOs’ public charity affiliations on corporate labor violations and find that public-charity-affiliated CEOs have a lower likelihood of engaging in labor violations than their non-affiliated peers. In a disaggregated analysis, we find the result to be driven primarily by wage and hour violations. This finding is validated when we compare changes in wage and hour violations around different types of CEO turnover. We further identify the promotion of a positive corporate culture and an increase in labor-related expenditures as the main channels through which CEOs’ public charity affiliations affect wage and hour violations. In addition, …

From Farm To Plate: Q-Analysis Of Consumer Requirements In Blockchain-Based Agri-Food Supply Chains, Pouyan Jahanbin, Stephen C. Wingreen, Ravishankar Sharma, Arnob Zahid

All Works

Blockchain platforms have revolutionized the food industry by establishing a more trustworthy supply chain. By providing a secure and open record of all transactions, blockchain technology helps improve food safety. This reassures consumers who may wish to ensure that products are guaranteed to meet certain dietary or nutritional standards. However, the adaptability of existing supply chains and consumers' full adoption of such systems remains a gap in scholarly research. This field study employs Q-methodology to explore the concourse of requirements and priorities of food consumers in blockchain-based agri-food supply chains. Abductive reasoning is utilized to elaborate on the subjective perspective …

Critical Tourism Studies In Business Journals, Paolo Mura, Heather Jeffrey, Martin Sposato

All Works

Business is commonly understood as a parent discipline of tourism research, making business journals essential for epistemological inquiry. This paper reviews tourism literature in business journals, analysing the presence of Critical Tourism Studies, which addresses limitations of management-oriented approaches. Our analysis reveals limited engagement with Critical Tourism Studies in business journals, only 27% of reviewed articles aligning with its tenets. We propose a framework for Critical Tourism Business Studies that identifies knowledge gaps and highlights future directions for scholars publishing tourism-related topics in business journals. This framework aims to bridge disciplinary gaps and enhance interdisciplinary research. The article contributes to …

Usaid Grant Recipient Data Fy2002-2025, Susan Turner Haynes

Faculty Works

Grant recipient data from USAID from fiscal years 2002-2025.

Daniels Distinction Portfolio By Maggie Schoeny, Maggie Schoeny

Finance: Undergraduate Distinction Portfolios

A Daniels Distinction Portfolio of experiential education by Maggie Schoeny

Ppp Dataset, Susan Turner Haynes

Faculty Works

During the COVID-19 pandemic, 11.5 million U.S. businesses applied for relief from the federal government. Collectively, these entities received just under 800 billion dollars. It was one of the largest fiscal intervention policies directed at businesses in American history. Though substantial scholarly and public attention has gone toward investigating participant fraud, other participant behavior has been less examined. This includes the relatively small number of individuals and businesses (128,304) that chose to repay their forgivable government loans. This dataset is used to investigate this question, with variables testing hypotheses relating to altruism, patriotism, and self-interest. Results are analyzed in the …

From Doing Business To B-Ready: World Bank’S New Rankings Represent A Rebrand, Not A Revamp, Fernanda G. Nicola, Dhaisy Paredes Guzman

Popular Media

In 2021, the World Bank shut down one of its flagship projects: the Doing Business index, a global ranking system that measured how easy it was to start and run a business in 190 countries. It followed an independent investigation that found World Bank officials had manipulated the rankings to favor powerful countries, including China and Saudi Arabia. The scandal raised serious concerns about the use of global benchmarks to shape development policy. Now, the Bank is trying again. In October 2024, it launched its newest flagship report, Business Ready. The 2025 spring meeting of the World Bank and its …

Strategic Placement Of Branding Elements In Digital Marketing: Insights From Eye-Tracking Data, Mohamed Basel Almourad, Emad Bataineh, Mohammed Hussein, Zelal Wattar

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In today's media landscape, where consumers are overloaded with information and have shorter attention spans, digital marketers face significant difficulty in grabbing and holding customers' attention. This research examines how visual attention affects the processing of advertising stimuli. It does this by using eye-tracking technology to determine where branding components should be placed in digital ads to maximize processing efficiency and perceptual salience. The research shows that placing branding features strategically in the top central part of the advertisement can greatly increase visual attention and subsequent recall by analyzing fixation patterns and saccadic behavior. This result is consistent with well-known …

Predicting Unemployment: What's Important?, Robert Winslow

Mountain Plains Business Conference

More and more, economic research makes uses of administrative panel data, which provide long time-series of highly accurate data, but lack some of the supplemental questions found in surveys. I use data from the Current Population Survey, which includes a short panel, to test whether these supplemental survey questions intrinsically contain unique information or serve as proxies for information that can also be gleaned from panel data. In particular, I forecast an individual worker's future unemployment status with and without information on each individual's recent past, and decompose the variance of the predictions in each case.

Integrating Location Data Into Analytics: Methods, Applications, And Fairness In Public Healthcare, Arindam Ray

USF Tampa Graduate Theses and Dissertations

This dissertation explores the application of location data in healthcare management, focusing on epidemic spread forecasts and fairness in healthcare access. It demonstrates the power of location data in understanding and forecasting epidemic spread with two examples, using mobility metrics derived from the location data. The second example also considers the effect of social vulnerability along with population mobility and extends a popular deep-learning algorithm to accept static anddynamic data. The dissertation also proposes health equity measures by evaluating the alignment between healthcare facility locations and people’s mobility patterns, considering demographic factors. This research highlights the valuable insight location data …

A New Look At Consumer Responses To Certain And Uncertain Rewards, Aihui Ding

USF Tampa Graduate Theses and Dissertations

Both certain rewards, which refer to incentives associated with a 100% probability of receipt, and uncertain rewards, which refer to incentives associated with probabilities of receipt that are less than 100%, are widely employed in marketing. Expected utility theory and prospect theory support the superiority of certain rewards over uncertain rewards. This research aims to investigate whether consumer aversion to uncertain rewards depends on the presence of consumer inference about firm immorality, which refers to the consumers’ belief that the firm could be engaging in unethical practices in promotions. Study 1 identifies two psychological mechanisms that explain why uncertain rewards …

Essays In Climate Finance: Climate Risks In Real Estate And Banking, Vikas Soni

USF Tampa Graduate Theses and Dissertations

This dissertation includes two essays that examine the impact of climate risks on commercial real estate and bank performance. In the first essay, I study the impact of sea level rise (SLR) on commercial real estate (CRE) pricing and commercial lending. Using novel property level sale transactions from 2011-2018, I find that commercial properties exposed to a 6-feet sea level rise are sold at a 6% discount, which increases over time. This discount appears to be driven by local buyers and buyers’ brokers that are more sensitive to climate risks. In addition, the discount significantly rises after an extreme hurricane, …

Taxonomy Of Trust And Maslow’S Hierarchy Of Needsin The Construction Industry, Ann B. Lyons, Vivek Sharma, Shima Clarke

The Professional Constructor

Trust is vital in every facet of life, enabling collaborative efforts and valuing contributions from various individuals. This is particularly true in the construction industry, where teamwork is essential for success. Prior research has consistently demonstrated that heightened trust levels significantly contribute to better project outcomes and increased client satisfaction. Despite its critical role, the construction industry has yet to adopt a structured hierarchical perspective of trust that aligns with its unique demands. This study aims to fill this gap by validating a comprehensive taxonomy of trust specifically designed for the construction sector. Through literature review, this study identifies key …

Experimental Data For: "Effects Of Network Connectivity And Functional Diversity Distribution On Human Collective Ideation", Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. Maclaren, Sriniwas Pandey, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama

Systems Science and Industrial Engineering Faculty Scholarship

This is the dataset collected from our online human-subject experiments described in the following manuscript:

Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Sriniwas Pandey, Shelley D. Dionne, Francis J. Yammarino, and Hiroki Sayama:
"Effects of Network Connectivity and Functional Diversity Distribution on Human Collective Ideation"
https://arxiv.org/abs/2307.04284

Student Goal Setting, Goal Tracking, And Goal Accomplishment, Jared Hansen, Paul Wilson, Jeff Christensen

Browse all Datasets

This dataset came from the research paper "Sustainably engaging student personal development in a distracting digital world through experiential goal setting and weekly goal tracking" coauthored by the researchers. The project examines the effects of student weekly goal tracking reports on student goal achievement. It also examines the effect of SMART goal elements and if the goal is sustainability focused. It controls for student biological sex and for student work team drama. Using student goal achievement (0/1) as the dependent variable, the authors apply binary logistic regression analysis to the data.

Technology Acceptance Model(Tam) And Ai Hallucination Survey Dataset, Jared Hansen, Jeff Christensen, Paul Wilson

Browse all Datasets

This dataset came from the research paper “Understanding the antecedents, advantages, and mistakes of technology adoption of Artificial Intelligence (AI) within consumers’ tourism decision-making processes” coauthored by the researchers. The project examines the integration of elements from the technology acceptance model, theory of planned behavior, and three new variables (AI prior general usage, AI familiarity, and AI hallucination potential) to prediction behavioural intention to use AI (ChatGPT) in making future tourism decisions.

Moondoggie's Ad, Mia Horvath

Graphic Communication

I created a 2 minute ad for Moondoggies that defines the brands “attitude” as well as establishes its demographic, highlights the products they sell, and showcases the natural beauty of the region Moondoggies was founded in.

Rebranding Lauren Hope Photography, Lauren H. Toomey

Graphic Communication

Lauren Toomey has been building her business, Lauren Hope Photography, for the past six years. During this time, she has developed a website as well as a social media presence, but has yet to establish a clear brand identity. This project served as motivation for Lauren to define her brand identity, which allowed her to create branding guidelines that could then be implemented across print and digital media.

Affirmative Action Initiatives In Education And Employment: Its Necessity Then, Now And In The Future, Bahaudin G. Mujtaba

HCBE Faculty Articles

Since its creation, affirmative action (AA) has been one of the most debated political issues in the United States and other nations such as South Africa. AA programs are, at times, seen as a tool of compensation for past discrimination toward women and particularly racial minorities. Many experts view it as an economic necessity since diverse employees can better forecast the needs of different communities. Nonetheless, some believe that AA is an obsolete and outdated practice that can lead to illegal discrimination based on race and gender. As such, it is useful to look at the rationale or purpose of …

Intro To Primary Sources, Katie Strand, Jen Kirk, Dan Davis, Lara Petersen

All E-Learning Resources

Attention: As of 2026 updated versions of this item will no longer be available on Digital Commons. Please contact [email protected] for more information.

The Identifying Primary Sources tutorial teaches students how they find, evaluate, and use primary sources in their own research. Along the way, they'll learn about some great places to start researching when looking for primary sources.

Revisiting Institutional Voids: Advancing The International Business Literature By Leveraging Social Sciences, Marleen Dieleman, Stanislav Markus, Tazeeb Rajwani, George White Iii

Faculty Publications

Institutions are vital for solving collective action problems and enabling functioning markets. Based on this notion, the institutional voids literature has offered a dynamic research agenda for international business scholarship. In this perspective article, we leverage work from political science, development economics, legal studies, and anthropology to: (a) expose hidden assumptions about institutional voids in the management literature; (b) propose new directions for research based on our revised assumptions; and (c) provide direction-specific theoretical constructs from other social sciences to stimulate theory-building and empirical inquiry into institutional voids. We develop a framework that identifies four revised assumptions about institutional voids …

Can I Choose My Offer: How Choice On Sales Offer Impacts Consumer Purchase Decision?, Atmadeep Mukherjee

Graduate Theses and Dissertations

While making a purchase decision consumers tend to evaluate various assortments. Most of the research in choice literature has focused on the impact of focal product assortment size and consumer preferences. With the advent of a novel sales promotion strategy, where consumers are provided with a choice to select an offer, this dissertation investigates the effect of choice on sales offer, specifically free offers on purchase evaluations. Building on choice literature and sales promotion this dissertation argues that choice on sales offers, particularly free offers, will have a positive effect on purchase evaluations and the effect gets accentuated under certain …