Digital Commons Network^™

Towards An Inclusive Labour Market: Skills For The Future, Eva Erjavec

Economic and Business Review

In the transition to a knowledge-based society, human capital has become a key driver of economic growth, innovation, and social progress. As industries evolve and new technologies reshape labour markets, the development of future skills plays a crucial role in ensuring workforce adaptability, productivity, and long-term competitiveness. A bibliometric analysis aims to examine the importance of human capital for economic growth and the transition to a knowledge economy, synthesizing existing research and academic discussions. By systematically reviewing the literature, this paper seeks to provide insights into how skills and education contribute to sustainable economic development and social resilience. Furthermore, it …

Building Evidence For Active Work Through A Bibliometric Review Of Employee Physical Activity And Job Performance, Tamara Stanković, Alenka Slavec Gomezel

Economic and Business Review

Physical activity (PA) is widely recognized as beneficial for employee health and well-being, yet research linking employee PA to job performance remains fragmented across disciplines, outcome conceptualizations, and theoretical perspectives. Although prior systematic reviews and meta-analyses report generally positive effects of workplace PA on health-, absenteeism-, and productivity-related outcomes, they provide limited insight into how this research field is intellectually structured or how it has evolved over time. To address this gap, we conduct a comprehensive bibliometric review of the employee PA–job performance literature. Using performance analysis alongside co-citation, co-occurrence, and bibliographic coupling techniques and interpreting results through the invisible …

From Wall Street To Main Street: The Financial–Operational Performance Link In Hospitals Across Geographies, Chulho Christopher Lee, Lan Luo, Yinfei Chen, Taylor K. Brown, Hyoun Sook Lim, Ying Chen

Economic and Business Review

This study examines the relationship between hospital financial performance and operational efficiency. Using data from the American Hospital Association (AHA), we find that profitability, debt coverage, and working capital efficiency are positively associated with hospital efficiency, while liquidity and capital structure exhibit a negative correlation. Fixed-asset efficiency, however, shows no significant impact on hospital operational efficiency. Furthermore, we find that the operational efficiency of urban hospitals is, in general, more sensitive to financial performance than that of rural hospitals. These findings provide practical insights for healthcare administrators and policymakers aiming to enhance hospital operational efficiency and promote equitable care delivery.

The Influence Of Religiosity On Financial Reporting Quality Across Countries: The Moderating Effect Of Legal Origin, Abdellatif Adem, Raida Chakroun

Economic and Business Review

This study examines the connection between religiosity and earnings quality, employing accrual-based and real earnings management as key indicators. By analyzing data from 22 countries from 2020 to 2023, the study identifies a negative correlation between religiosity and earnings manipulation, suggesting that managers in more religious environments are less prone to such practices. The robustness of these results is validated through multiple methods and alternative religiosity metrics. Furthermore, the study highlights the role of legal systems in shaping this relationship, demonstrating that managers in religious nations governed by civil law are more likely to engage in earnings management. This study …

Reassessing The Spillover Hierarchy: Evidence Of A Dual-Channel Mechanism Across India's Market Capitalization Spectrum, Aditya Joshi

Management Dynamics

Background: The transmission of financial shocks across market segments is a critical determinant of systemic risk and contagion. While volatility spillovers between large and mid-cap stocks are well-documented, the role of the micro-cap segment in the broader market ecosystem remains underexplored.

Objective: This study aims to provide a comprehensive analysis of shock transmission across the entire market capitalization spectrum of the Indian equity market, encompassing large-, mid-, small-, and micro-cap segments.

Materials and Methods: Employing a Vector Autoregression (VAR) framework, the dynamics have been investigated through Granger causality tests, impulse response functions, and forecast error variance decomposition. To ensure the …

Hr Analytics: A Bibliometric Analysis Using Web Of Science (Wos) Database And Exploring New Horizons, Akanksha Srivastava, Ram Singh

Management Dynamics

Purpose: Recent years have seen a rise in popularity for the study of human resource analytics, which is a relatively young field of study. The research that has been done in this area is advancing and will open new avenues for future investigation. The paper discusses the theoretical foundations upon which the operation of HR analytics is based.

Methodology: The paper gives insight into the publications, authors, keywords, nations, references, and journals of the studies by employing Bibliometric analysis. Overall, 210 publications that were published between 2012 and 2022 were considered all were research articles for the present study. For …

2026 June, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for June of 2026.

Ms110 Syllabus: Introduction To Computers, Information Systems, And Artificial Intelligence, Wei Zhang

Management Science and Information Systems Faculty Publication Series

This is a syllabus for Professor Wei Zhang's MS110: Introduction to Computers, Information Systems and Artificial Intelligence Course within UMass Boston's College of Management. This is an Open Educational Resource and can be remixed, copied, redistributed, altered and reused as long as permission is given to the original creator.

Front And Back Matter

The Foundation Review

No abstract provided.

Editorial, Julia Coffman

The Foundation Review

No abstract provided.

Power-Sharing Under Pressure: What A Decade Of Community Partnership Reveals For Philanthropy Today, Clare Nolan, Pilar Mendoza

The Foundation Review

Between 2017 and 2024, U.S. philanthropy experienced a period of significant innovation as many foundations reconsidered long-standing assumptions about control and began taking steps to share power more directly with the communities they fund. This article draws on community leaders’ reflections, alongside the authors’ perspective as long-term evaluators, to examine how these commitments were experienced in practice.

The article focuses on the David and Lucile Packard Foundation’s Starting Smart and Strong Initiative (S3I), a 10-year effort to strengthen early learning systems across East San Jose, Fresno, and Oakland, California. Drawing on interviews with grantees and technical assistance partners, along with …

Technology Disruptions In Platform Ecosystems: Ai, Market Adaptation, And Digital Resignation, Eunah Cho

Dissertations, Theses, and Capstone Projects

This dissertation examines how technological disruptions reshape behavior, competition, and user response in platform ecosystems. Bringing together two studies of generative AI in digital labor market and one study of mandatory privacy disclosure in mobile app ecosystems, it argues that platform technologies do not affect participants uniformly. Instead, their effects are mediated by market structures, competitive dynamics, and platform dependence.

The first study shows that ChatGPT shifts workers’ human capital strategies by reducing investment in specialized depth while increasing skill diversity, revealing a move from exploitation toward exploration. Yet market rewards remain uneven, as workers who integrate AI with deep …

Managing Multi-Channel Service Operations, Omer Berk Olmez

Dissertations, Theses, and Capstone Projects

In today’s evolving service landscape, the growth of virtual channels alongside traditional in-person services is changing how providers interact with customers and how services are delivered. This dissertation studies how service systems should be designed and managed when customers can choose between virtual and in-person channels through three connected perspectives: customer behavior, work design, and public policy. The first study examines booking-window design in a pooled multi-channel appointment system using appointment-level data from an undergraduate advising office, a queueing model, and a digital twin. It shows that booking windows shape the offered set and the flow of demand across channels, …

Experience Therapy: How Service Experiences Regulate Everyday Negative Affect, Chang Ma Ph.D., Jae Eun Park, Alei Fan, Laurie Wu

Faculty Publications

In today's fast-paced and high-pressure society, maintaining emotional well-being requires effective strategies for managing everyday negative affect. This research examines the role of service experiences in reducing negative affect and introduces experience therapy as a novel strategy for affect regulation. Through a series of studies, we assess the effectiveness of experience therapy and investigate how different service experiences—varying in levels of personal effort involvement and social involvement—contribute to negative affect regulation. The findings demonstrate that experiences requiring high personal effort and social involvement are particularly effective in alleviating negative affect, especially among emotionally stressed individuals. These effects are mediated, respectively, …

Aged 539 Internship Report: Cal Poly Rodeo Media And Marketing, Anna Grace Durham

Agricultural Education: Graduate Internship Reports

This internship report examines the role of media and marketing within the Cal Poly Rodeo Program and highlights the integration of leadership, athlete development, and strategic communications in a collegiate athletics setting. Serving as the Media Manager for Cal Poly Rodeo, the internship focused on strengthening the program's digital presence, enhancing brand identity, and increasing community engagement, particularly surrounding the 2026 Poly Royal Rodeo. Through collaboration with University Administrators, the Officer Team, sponsors, and external media partners, comprehensive marketing campaigns were developed and implemented, resulting in significant increases in social media reach, audience engagement, and ticket sales. The project included …

“Megadeal” Subsidies, Local Spillovers And Corporate Innovation, Yoojin Lee, Shaphan Ng, Aruhn Venkat

Research Collection School Of Accountancy

We examine whether the largest place-based, firm-specific corporate subsidies (“Megadeals”) awarded by state and local governments affect local firms’ innovation. First, we document that 1) subsidy firms innovate in the subsidized county and 2) subsidy firms bring inventors from other counties into the subsidized county, consistent with subsidy firms generating new knowledge locally. In our main test, we use a stacked cohort design with stringent fixed effects to document that local firms increase patenting following a Megadeal. Cross-sectionally, effects are increasing 1) in subsidy firm innovativeness, 2) in the technological closeness of subsidy firms and local firms, 3) when subsidy …

Trust And Pre-Employment Background Checks When Onboarding And Maintaining Information Security And Cybersecurity Staff, Stanley Mierzwa

Center for Cybersecurity

The realm of trust is broad and can include many facets that are difficult to capture and catalog. In relation to the work roles of information security and cybersecurity, the intersection of trust in human resource management is critical and an evolving area within most modern organizations, in almost any sector, and of any size. A foundational element of trust is fundamental to effective mission and work roles in information security and cybersecurity, as well as to every employee tasked with contributing to the security of an organization’s assets. This chapter will include sections on the role trust can and …

Digital Advertising Regulation And Consumer Protection Policy In The Uae: Ethical Challenges And Consumer Trust In The Digital Era, Harith Yas, Wided Dafri, Basma Kashmoola, Maytha Al-Ali, Omnia Salem, Ahmed Almufti

All Works

It is remarkable that the current research primarily aims to measure the extent to which UAE Consumers use various Digital Advertising Channels, as well as to evaluate e-marketing requirements and the degree of compliance in the United Arab Emirates. The Research, however, has employed a Descriptive-Analytical Approach, collecting data through a questionnaire that includes several questions targeting a sample of 150 consumers from different Emirates. The data were analyzed using SPSS and statistical method s, including complaint analysis, Interest Frequencies, and graphical representations. Our results show that social media is the most widely used digital advertising channel, accounting for 34% …

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 …

Patent Analyses And Technology Forecasting: Advances Into Artificial Intelligence Technologies, Sarah Over, Emma Jiren Wang, M. Shehryar Khan

Journal of the Patent and Trademark Resource Center Association

For several decades, patents have been utilized in analyzing technology and forecasting future trends. Historically, this has been done via keywords, citations, and some bibliometric approaches. The efficiency that is promised by artificial intelligence (AI), machine learning, natural language processing, and related technologies has also heavily entered the domain of intellectual property. There is a growing body of research that is using AI technologies to analyze, learn, and make predictions for patents. Some of the most common applications in practice are those that assist searchers and examiners in review of patents. Journals such as World Patent Information have even developed …

Hallucinations And Hits: Generative Ai Patent Searching Performance, Pitfalls, And Library Best Practices, Aidan J. Whitlock, Denise A. Wetzel

Journal of the Patent and Trademark Resource Center Association

One of the most challenging aspects for inventors seeking to obtain a patent is conducting an effective preliminary prior art search. The process requires specialized skills and experience to assess the relevant information that many novice inventors do not possess. However, artificial intelligence (AI) tools and Large Language Models (LLMs) offer potential new ways of accessing legal and technical expertise. This study surveys five popular publicly available LLMs ability to aid in conducting a preliminary prior art search. A list of best practices and strategies for using AI tools to conduct preliminary patent searches are outlined at the conclusion of …

Mass Produced: Using Local Historical Patents And Trademarks As Outreach Tools, Brendan Kelly, Rebecca Reznik-Zellen, Lisa Di Valentino

Journal of the Patent and Trademark Resource Center Association

Historical patents and trademarks are an effective way to showcase the industries critical to the development of a region. The UMass Patent and Trademark Resource Center, based out of the Science and Engineering Library of the University of Massachusetts Amherst, created an exhibit focusing on four different industries integral to the development of Western Mass, and the patents and trademarks associated with them. We hosted an opening reception attended by campus members interested in innovation and entrepreneurship, as well as community patrons interested in the industrial history of the region. As many regions around the United States have their own …

The Impact Of Artificial Intelligence And Neuro-Linguistic Programming On Candidate Assessment In Talent Acquisition, Amna Fahim

Dissertations

Digitalization in human resource management led to the implementation of Artificial Intelligence (AI) and Neuro Linguistic Programming (NLP) in recruitment practices. However, although AI and NLP were adopted globally, the empirical evidence in emerging countries, especially Pakistan, was scanty. Hence, this study investigated the impacts of individually and jointly implementing AI and NLP on candidate assessment outcomes in the telecommunications industry in Pakistan. According to the literature, this study is grounded in Technological Determinism, Machine Learning Theory, Psycholinguistic Theory, and Cognitive Behaviorism. A quantitative correlational approach was used in this study. To investigate the proposed research questions, descriptive statistics, Pearson …

Disability Employment In Côte D’Ivoire: Human Resources Managers’ Experiences And Challenges, Kinanpy Vanessa Toure

Dissertations

This study examined the critical role of human resource (HR) managers in promoting workforce integration and addressing the persistent barriers faced by people with disabilities (PWDs) in Côte d'Ivoire. Focusing on the perspectives, challenges, and lived experiences of HR managers, the research explored how inclusive workplace practices were developed and implemented within the Ivorian context. Employing a qualitative case study design, the study utilized semi-structured, scenario-based interviews and analyzed allowable public documents, specifically the Ivorian Labor Code, a relevant NGO publication addressing disability inclusion in Côte d’Ivoire, and the publicly available websites of participating organizations. This approach was intended to …

Leadership Without Assimilation: Reimagining Executive Leadership Development To Affirm Black Identity And Leadership Persistence, Nicole Monroe

Dissertations

Executive leadership development programs are often treated as race-neutral pathways to advancement, yet they frequently reflect dominant cultural norms that require leaders from marginalized communities to assimilate in order to succeed. This study examined the question: How can executive leadership development be restructured to affirm Black identity, cultural intelligence, and leadership persistence rather than require assimilation into exclusionary models? This study employs a convergent mixed-methods design, including interviews with 9 Black executive leaders and a document analysis of leadership development programs using the Assimilation Pressure Index. Findings reveal persistent assimilation pressures and identity negotiation within leadership development experiences, and document …

The Influence Of Chief Executive Officer Personality On Mergers And Acquisitions (M&A) Completion, Nikisha Alcindor

Dissertations, Theses, and Capstone Projects

In Mergers & Acquisitions (M&A), a deal is completed when it has been announced, a fully executed agreement is in place, and the target's ownership is consolidated with the acquirer. The completion of an M&A deal is vital because it is a labor-intensive process that requires a tremendous number of resources from the firm. Yet even though 39,494 deals were announced in 2025, few studies have examined the variables that influence deal completion. This dissertation examines whether the Chief Executive Officer (CEO)'s personality influences the likelihood of deal completion. CEOs typically initiate the deal and see it through to completion, …

Financing Climate Action Through Fair Taxation: How Sdg Engagement Reduces Corporate Tax Avoidance, Ahmed Aboud, Niccolò Nirino, Panagiota Papadimitri, Michael Christofi

All Works

The transition to a low-carbon economy, central to achieving Paris Agreement targets and Sustainable Development Goal 13 (Climate Action), requires unprecedented public and private investment. A significant climate financing gap persists, however, exacerbated by corporate practices that erode the public revenue base. This paper investigates a critical, yet often overlooked, component of corporate responsibility: tax avoidance. We examine the impact of firm-level sustainable development goal (SDG) disclosure on corporate tax avoidance using an international sample of 7213 firms operating in 81 countries over the period 2019–2023. Our analysis reveals a robust inverse relationship between SDG disclosure and corporate tax avoidance, …

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. …

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

All Works

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% …

Homelessness And Business: Perception, Affect And Opportunity, Asatur Nor-Ashkarian

University Honors Theses

This thesis examines the relationship between business owners and individuals experiencing homelessness within urban commercial districts in the United States, arguing that the dynamic is shaped primarily by spatial concentration, uneven power structures, economic pressure, and public framing rather than simple conflict between competing interests. Drawing on stakeholder analysis, business perception surveys, a mixed-methods study, and an original content analysis of 50 news articles spanning 23 states, this thesis identifies a consistent pattern: business owners broadly perceive homeless presence as negatively impacting safety, cleanliness, and consumer behavior. Local news media reinforces those perceptions through predominantly negative framing of homeless individuals. …