Business Commons^™

The Significance Of Using Digital Story-Telling For Enhancing English Oral Communication Skills Among Media Students At Al- Quds Open University, Murad A. Ahmed Tamimi

Middle East Journal of Communication Studies

Due to issues including uninspired teaching techniques and language anxiety, students at Al-Quds Open University, particularly those enrolled in the media major, experience difficulties in establishing strong oral communication skills in a multicultural context. A potential remedy is digital story-telling, which uses multimedia to craft captivating stories that appeal to students who are accustomed to using digital devices. This study evaluated how digital story-telling improved media students' spoken English communication abilities in the second semester of the 2023–2024 academic year. Incorporating motifs from the current Tufan al-Aqsa conflict, the study sought to offer stimulating and culturally appropriate educational opportunities. Twenty-seven …

The Organizational Socialization Of K–12 Classified Employees, Steven Dunlap

Dissertations

Purpose: The purpose of this mixed methods study was to identify to what extent newly employed classified staff in K–12 school districts in Southern California experienced organizational tactics (content, context, and social) to support their socialization process during the 1st year of employment (G. R. Jones, 1986). In addition, it was the purpose of this study to identify and describe the degree to which newly employed classified staff saw these tactics as effective in supporting their socialization to their new role (role clarity, social acceptance, and task mastery).

Methodology: This study used a sequential explanatory mixed methods design to engage …

Nebraska Monthly Economic Indicators: March 27, 2024, Eric Thompson

Leading Economic Indicator Reports

The Leading Economic Indicator-Nebraska rose by a very rapid 3.48% in February 2024. The increase in the leading indicator, which is designed to predict economic growth six months into the future, implies that there will be strong growth in the Nebraska economy during the summer of 2024. Three components of the leading indicator improved significantly during February. There was a sharp increase in manufacturing hours worked, given the continued strong demand for food products. Business expectations also were strong. Respondents to the February Survey of Nebraska Business reported plans to increase sales and employment over the next six months. The …

Sulitest, Tejinder Kaur Billing, Andrea Farro, Dilip Mirchandani, Melissa Tabada Montalbo-Lomboy

Rohrer College of Business Departmental Research

SULITEST is a program that assesses and promotes sustainability knowledge and awareness in college students. It covers four key areas: sustainable societies, human systems, transitioning to sustainability, and individual and systemic change. SULITEST can be a roadmap for developing knowledge and behaviors that lead to a more sustainable world,

Evaluating Drowning Prevention Campaigns - The Challenge Of Getting The Right Information To The Right People At The Right Time: A Response To Calverley, Petrass, And Blitvich, Gemma Crawford, Meg Abercromby, Malena Della Bona, Justine E. Leavy Ph.D.

International Journal of Aquatic Research and Education

Evidence-informed decision making requires timely and readily available research and evaluation for policy and practice. In the context of drowning prevention, evaluation of interventions in the grey and peer reviewed literature is relatively scarce. Lack of evidence and associated barriers to access limits the scope of knowledge translation efforts and the application of research outcomes to initiatives designed to prevent drowning. The paper, Alcohol Focused Drowning Prevention Campaigns: What Do We Know and What Should We Do Now? highlights a lack of specific evaluation for alcohol-focused drowning prevention campaigns. We offer insights as evaluators of a youth water safety program …

Can Machine Learning Models Provide Accurate Fertilizer Recommendations?, Takashi S. T. Tanaka, Gerard B. M. Heuvelink, Taro Mieno, David S. Bullock

Department of Agricultural Economics: Faculty Publications

Accurate modeling of site-specific crop yield response is key to providing farmers with accurate site-specific economically optimal input rates (EOIRs) recommendations. Many studies have demonstrated that machine learning models can accurately predict yield. These models have also been used to analyze the effect of fertilizer application rates on yield and derive EOIRs. But models with accurate yield prediction can still provide highly inaccurate input application recommendations. This study quantified the uncertainty generated when using machine learning methods to model the effect of fertilizer application on site-specific crop yield response. The study uses real on-farm precision experimental data to evaluate the …

Integrating Identities By Segmenting Domains: Antecedents Of Work-Maternal Identity In The Postpartum Return To Work, Aashna M. Waiwood

USF Tampa Graduate Theses and Dissertations

As employed women have children and return to work, they encounter a cross-domain identity transition where their professional and maternal identities are consistently co-activated and must perceptually contend with one another. In this dissertation, I explored this potential for harmonious assimilation of work and parental identities within this postpartum transitory period via a novel construct termed “work-maternal identity (WMI).” Specifically, I examined how working remotely in integrated work and home environments is related to WMI, as mediated by job engagement and perceptions of work belongingness. I also incorporated factors critical to successful resocialization and related to boundary management as moderators …

[Discussions] Vol. 19 Iss. 1

Discussions

This issue of Discussions was published for the Spring 2023 cycle.

U.S. Public Equity Esg Fund Composite And Parnassus Core Equity Fund: Performance And Factor Attribution, Karthik Nemani, Barrett Buhler

Discussions

This is the first paper to examine all U.S. public equity Environmental, Social, and Governance (ESG) funds offered by the Forum for Sustainable and Responsible Investment’s (SIF) institutional member firms from 2005 to 2020. For ease of communication, this will be called the ESG Composite. With a Net Asset Value (NAV) over $150 billion, these funds comprise nearly half of the U.S. public equity ESG investment landscape. The article finds that the ESG Composite maintains performance with the Standard and Poor’s (S&P) 500 total return index on an overall returns basis with lower volatility, indicating greater risk-adjusted returns. Factor analysis …

Mindset, Virtue Signaling And Volunteering, Corinne Novell, Steven Bauer, Alice Labban, Yingfan Zhu

Seaver College Research And Scholarly Achievement Symposium

Virtue signaling, or publicly showing off one’s good character or actions to others, has been studied in many contexts. This research expands on previous work and focuses on investigating the impact of fixed vs. growth mindsets on virtue signaling in a volunteering context. Mindsets, in the context of this research, are the beliefs people hold about the consistency of human’s personality as well as their moral characteristics. We hypothesize that given the different goal orientations of people with growth vs. fixed mindsets, the impact of obligatory virtue signaling on volunteer behavior will be stronger among people with a growth (vs. …

Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

Seaver College Research And Scholarly Achievement Symposium

Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …

Payments As A Tool For Policy, Aaron Klein

Brookings Scholar Lecture Series

What are the implications of using payment systems to enforce foreign policy (against Russia, Iran, Cuba, etc...) and domestic policy (on-line poker, cannabis, etc..)? What are the long-term ramifications for the United States, with its dominant status as a global financial system and home to the world reserve currency, using payment systems to achieve its political objectives? In this lecture, Brookings Institution scholar and former deputy assistant secretary for economic policy at the Department of Treasury, Aaron Klein discusses the pros, cons, and intended and unintended consequences of our current system. He proposes a path forward to maximize economic growth …

Editorials For Spencial Topic “Scientific Focus: Open Source Innovation And Open Source Paradigm”

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Open Source In China: Opportunities In New Era, Qigang Zhu, Guofeng Zhang, Caihua Zhu, Yi Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

China has rapidly experienced industrialization and informatization, entering the era of digital economy. The combination of new productive forces represented by artificial intelligence, non-exclusive production factors represented by knowledge, and open source related relationships may form a new model. From the perspective of social practices of open source innovation, open source lacks systematic preparedness at theoretical, institutional, and talent levels. China should seize the historical opportunity to complete theoretical updates and cultural reconstruction those are adapted to it. Open source and openness also have conditions for China to create a global paradigm of cooperation, sharing, and innovation in the digital …

Thoughts On Ai Innovation And Open Source Development: Lessons From Deepseek, Yanjun Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

At a critical moment of intense competition in the artificial intelligence (AI) field, DeepSeek has released foundational large language models (LLM) such as V3/R1, with performance comparable to leading international organizations like OpenAI. This not only demonstrates China’s technological innovation capabilities in AI but also provides a Chinese innovative pathway for global AI development. Firstly, through low-cost training and inference, break the monopolistic barriers of high-end computing power and lower research and development thresholds. Secondly, through full-stack and comprehensive open-source strategies, support customizable and local deployment that benefits various industries. This technological innovation and open-source practice from DeepSeek deserves in-depth …

Suggestions On Building China’S Artificial Intelligence Open Source Innovation Ecosystem, Yuntao Long, Haibo Liu, Zheping Xu, Yungang Bao, Yanjun Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the release and application of open-source large language models (LLMs) represented by DeepSeek, open-source innovation has played an increasingly important role in the rapid development of global artificial intelligence (AI) technology. Through technological innovation, cost reduction, performance improvement, and application demonstration, DeepSeek has opened up a disruptive innovation path and improved the research and application level of AI in China and its international influence. In order to further promote the construction of China’s AI open source innovation ecosystem and promote the continuous innovation and iteration of AI technology, this study analyzes the outstanding problems in China’s AI innovation ecosystem …

Discussion On Open-Source And Closed-Source Technology Models In Era Of Artificial Intelligence, Xiaolong Zheng, Jiatong Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

This article presents the advantages and disadvantages of open-source and closed-source models in technology innovation and ecosystem construction in the era of artificial intelligence. We explore some current cutting-edge controversies between the two technology models, and puts forward some basic ideas for breaking the deadlock, which can provide some significant insights into promoting the healthy development of artificial intelligence technologies.

Exploration And Practice Of New Industry-Academia-Research Collaboration Mechanism Based On Open-Source Model, Yungang Bao

Bulletin of Chinese Academy of Sciences (Chinese Version)

DeepSeek has rapidly expanded globally on a large scale through the open-source model, prompting various sectors to reflect on the value and significance of open-source. This study argues that open-source is an effective way to build consensus and organize high-density talent, as it is supported by objective laws. These include sociological principles such as breaking knowledge monopolies and promoting knowledge dissemination, as well as economic principles like “transaction cost” and the “Jevons effect”. Furthermore, this study suggests that open-source is also an effective approach to establish efficient collaborative mechanisms among industry, academia, and research. Two specific cases are introduced—the Open-Source …

Current Status, Trends, And Policy Recommendations For Global Open Source Ecosystem Development, Xue Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

Open source, as an innovative production model characterized by openness and sharing, has become a core driving force for innovation, openness, sharing, and sustainable development in the digital economy. This study explores the significant value of open source from four dimensions: technological innovation, industrial development, economic contribution, and social sustainability. The current global open source ecosystem is showing a positive development trend, with a continuous increase in the number of open source projects and the scale of contributors. In China, open source efforts are gradually gaining momentum in emerging technology fields. Looking ahead, open source projects are expected to follow …

Current Situation, Challenges And Policy Suggestions Of Chinese Enterprises Participation In Open Source Innovation, Kaihua Chen, Xin Wen, Qigang Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Open source is emerging as a new paradigm and a crucial driving force for technological innovation and industrial development. It is shaping new impetus for the development of the digital economy, promoting the construction of an innovation ecosystem in the digital era, and it also serves as an effective path for Chinese enterprises to catch up in technology and industry. Through investigations and literature research, this study discovers that Chinese enterprises have achieved remarkable progress in the field of open source, with the scale of participation continuously expanding and the influence steadily increasing. Nevertheless, they still face numerous challenges in …

Applications And Countermeasures Of Researcher Identifier, Yang Han, Jie Peng, Dong Li, Leipo Jia

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the medium for identifying the academic identity of researchers and associating scientific research elements, researcher identifier plays an important role in efficiently managing research data, establishing mechanisms for updating scientific data, and constructing knowledge maps of multi-source academic information. Using a combination of literature research and website research, this study analyzed the application status and deficiencies of researcher identifier to provide theoretical guidance for the construction of China’s researcher identifier system. With the development and increasing dominance of international mainstream researcher identifiers, China has gradually recognized the importance of constructing independently controllable researcher identifier. In the process of constructing …

Build Regional Strategic Emerging Industry Selection System For Major Scientific And Technological Infrastructure: Structural Framework And Practical Consideration, Lingling Zhang, Congli Huang, Feite Zhou, Xiang Xu, Long Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Under the circumstances of a new wave of scientific and technological revolution and industrial transformation, it has become imperative for the government’s industrial planning to effectively integrate regional resources with scientific and technological innovation capabilities, identify suitable regional strategic emerging industries, and establish clear directions for industrial development. Drawing on various classical theories of industrial selection from the perspectives of industrial economics and management, this research comprehensively considers six dimensions: technical support capacity of facilities, potential for industrial upgrading, regional resource endowment, social demands, government, and opportunities. Based on the Porter Diamond Model, a robust system is developed to select …

Comparison Of Open Sharing Modes Of Foreign Large-Scale Scientific Facilities And Implications For China, Dacheng Song, Shuai Xiao, Tianming Li, Ke Wen, Dingyi You, Chen Zhang, Qiang Wei, Runtong Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

The open sharing of large-scale scientific facilities plays a pivotal role in the ecosystem of open science. This is of great significance for promoting the development of science and technology, enhancing innovation cooperation, and boosting the overall competitive strength of nations. Starting from two dimensions of resource scarcity and sustainability, this study systematically sorts out four open sharing modes of large-scale scientific facilities: the public and inclusive sharing mode, the market response sharing mode, the intensive guarantee sharing mode, and the Strategic Cooperation Sharing Mode. Through the comparison analysis of four foreign large-scale scientific facilities, the study further elaborates the …

The Effects Of Social Media On Investment Decisions Within An Online Community, Hector Vasquez, David Cross

Publications

This case study examined the effects of social media on investment decisions within an online community. The problem was the use of misinformation by inexperienced investors to make investment decisions, with investors making investment decisions based on misinformation. Data was gathered through an online questionnaire administered through one-on-one interviews with members from an online financial community. Twenty participants were gathered; responses were analyzed for recurring themes. Results validated a relationship between social media and investment decisions exists. A strongly recurring theme was that individual investors use social media as a resource to seek out potential investment ideas and make investment …

Searching Govinfo.Gov/, Bert Chapman

Libraries Faculty and Staff Presentations

This U.S. Government Publishing Office (GPO) database provides access to information legal, legislative, and regulatory information produced on multiple subjects by the U.S. Government. Content includes congressional bills, congressional committee hearings and prints (studies), reports on legislation, the text of laws, regulations, and executive orders and multiple U.S. Government information resources covering subjects from accounting to zoology.

Twenty Years Of The Application Of Rooney Rule And Diversity Practices In The Nfl Workplace, David M. Savino

Journal of the North American Management Society

While the inception of the Rooney Rule has been generally applauded in its intention, the results achieved have been less than noteworthy. In the 20 years since its inception and application in team searches for head coaches of the National Football League, the outcome may be a true sign of the difficulty associated with creating fair and equitable job opportunities in any workplace. Also, there has been a long-standing and deeply entrenched system that has been in place, especially in the sports world, to ensure little change in the overall system. This has not only been true for the sports …

Working Remotely And Corporate Culture Wars In The Post-Pandemic Era, David M. Savino, Danielle C. Foster

Journal of the North American Management Society

Organizational culture is a sacred element of any organization. It is the lifeblood and the guiding force that makes each organization unique in its ability to navigate day-to-day and longer-term perspectives of corporate operations. Strong cultures help identify direction and philosophy and provide confidence in how to proceed to pursue innovative ideas and solve problems. Since 2020, the core value and the strength of many organizational cultures have been tested as a result of the increased reliance on working remotely and the adoption of a hybrid model of business operations not previously utilized to a great degree. While many survived …

Learning To Be Reflexive In Qualitative Research: Improving Training For Doctoral Students In Business Schools, Eun Su Lee

The Qualitative Report

Doctoral education in business schools is focused on a functional approach to research training. While this approach is necessary, it rarely encompasses reflexivity in qualitative research, despite its importance. This paper provides the groundwork for educators in business schools to reconsider the conventional approach to teaching qualitative methods. It draws on my personal and professional experience as a key resource to shape its examination of doctoral education in conducting qualitative research. The paper offers points of reflection on the struggle students may face in conducting rigorous qualitative research without appropriately understanding the influence of self with previous experience, preconceived ideas, …

Collegiate Female Athlete Experiences With Name, Image, And Likeness, Hailey A. Harris, Natasha T. Brison

Journal of Athlete Development and Experience

The purpose of this study is to examine experiences female collegiate athletes encountered with Name, Image, and Likeness (NIL) legislation. Ten collegiate female athletes across multiple divisions and geographic regions were interviewed for this study. Participants discussed various facets of their experiences with NIL, such as team dynamics and personal branding. The results of this study suggest differences in 1) their institutional educational processes for NIL, 2) their attitudes towards NIL, 3) shifts (or lack thereof) in their team’s group cohesion and leadership, and 4) their experience with forming and managing their personal brand. This study adds to the current …

“Zero Preparation For Life After Sports”: Former College Athletes’ Use Of Tiktok To Express Transitioning Out Of Sport, Molly Harry, Sydney Hammit

Journal of Athlete Development and Experience

Every college athlete will transition out of competition and this transition is often tumultuous for athletes who have dedicated years to the sports they love. Despite these challenges, athletes are rarely given a platform to discuss their transition with peers experiencing a similar situation who can offer support. However, through social media, former college athletes are creating platforms to center their transition successes and struggles. Through the lens of Schlossberg’s Transition Theory (1981), this study used thematic analysis to examine transition experiences of former college athletes responding to a viral TikTok video. Comments (n = 869) demonstrated former athletes …