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Articles 331 - 360 of 2515
Full-Text Articles in Computer Sciences
Home Is Where The Work Is: How Biases In Managers’ Resource Allocation Decisions Affect Task Performance In Remote Work Environments, Richard D. Mautz Iii
Home Is Where The Work Is: How Biases In Managers’ Resource Allocation Decisions Affect Task Performance In Remote Work Environments, Richard D. Mautz Iii
USF Tampa Graduate Theses and Dissertations
As the use of remote and hybrid work arrangements continues to grow, it is important to understand how these arrangements can yield performance. In this paper, I conduct two studies to examine how the remote work environment affects managers’ task assignment decisions across different task types and how those decisions affect workers’ task performance. First, I survey managers, in both a cross-section of industries and specifically in accounting, to study the effect of remote work on their task assignment decisions. Consistent with prior literature and economic theory, I predict and find that managers are more inclined to assign generative tasks …
Unraveling Biases And Customer Heterogeneity In E-Commerce Recommendation Systems, Sachin Sharma
Unraveling Biases And Customer Heterogeneity In E-Commerce Recommendation Systems, Sachin Sharma
Dissertations
This research explores the biases present in AI algorithms within e-commerce recommendation systems, focusing on how these biases prioritize popular, sponsored, and private-label products over actual customer preferences. We extend the responsible AI discourse by critically examining these biases and their implications for fairness in e-commerce. To strengthen the current understanding of AI fairness in the fields of information systems and computer science, we aim to challenge the assumption that AI fairness is objective and the same for everyone. We examine how individual differences, such as equity sensitivity and exchange ideology, contribute to users' varied perceptions of AI fairness. Through …
Editorials For Spencial Topic “Scientific Focus: Open Source Innovation And Open Source Paradigm”
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
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
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 …
Exploration And Practice Of New Industry-Academia-Research Collaboration Mechanism Based On Open-Source Model, Yungang Bao
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
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 …
Suggestions On Building China’S Artificial Intelligence Open Source Innovation Ecosystem, Yuntao Long, Haibo Liu, Zheping Xu, Yungang Bao, Yanjun Wu
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
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.
Current Situation, Challenges And Policy Suggestions Of Chinese Enterprises Participation In Open Source Innovation, Kaihua Chen, Xin Wen, Qigang Zhu
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 …
Modeling & Engineering Of Usmepcom Business Intelligence Data, Merrick A. Bedford
Modeling & Engineering Of Usmepcom Business Intelligence Data, Merrick A. Bedford
Theses and Dissertations
This thesis investigates the USMEPCOM’s issue of modeling and engineering Business Intelligence data centralized around the MEPS of Excellence (MOE) program. MEPS around the US conduct military personnel in-processing and in doing so have a vested interest in the standardization and application of the data associated with such processes. There are currently 65 MEPS stations and one RPS that handle military personnel onboarding paperwork and make determinations for military eligibility. This topic is important due to the MEPS cloud data processing system modernization efforts requiring data processing adaptation to ensure relevant and meaningful usage of current data.
Forging The Future: Strategic Approaches To Quantum Ai Integration For Industry Transformation, Meng Leong How, Sin Mei Cheah
Forging The Future: Strategic Approaches To Quantum Ai Integration For Industry Transformation, Meng Leong How, Sin Mei Cheah
CCX Research
The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era for Industry 4.0, offering unprecedented capabilities and challenges. This paper delves into the intricacies of quantum AI, its potential impact on Industry 4.0, and the necessary change management and innovation strategies for seamless integration. Drawing from theoretical insights and real-world case studies, we explore the current landscape of quantum AI, its foreseeable influence, and the implications for organizational strategy. We further expound on traditional change management tactics, emphasizing the importance of continuous learning, ecosystem collaborations, and proactive approaches. By examining successful and failed quantum AI implementations, lessons …
Understanding The Impact Of Trade Policy Effect Uncertainty On Firm-Level Innovation Investment: A Deep Learning Approach, Daniel Chang, Nan Hu, Peng Liang, Morgan Swink
Understanding The Impact Of Trade Policy Effect Uncertainty On Firm-Level Innovation Investment: A Deep Learning Approach, Daniel Chang, Nan Hu, Peng Liang, Morgan Swink
Research Collection School Of Computing and Information Systems
Integrating the real options perspective and resource dependence theory, this study examines how firms adjust their innovation investments to trade policy effect uncertainty (TPEU), a less studied type of firm specific, perceived environmental uncertainty in which managers have difficulty predicting how potential policy changes will affect business operations. To develop a text-based, context-dependent, time-varying measure of firm-level perceived TPEU, we apply Bidirectional Encoder Representations from Transformers (BERT), a state-of-the-art deep learning approach. We apply BERT to analyze the texts of mandatory Management Discussion and Analysis (MD&A) sections of annual reports for a sample of 22,669 firm-year observations from 3,181 unique …
The Effect Of Internet Firms’ Data Analytics Capability On Their Innovation Speed And Innovation Quality: A Dynamic Capability Perspective, Yeyu Hua
Dissertations and Theses Collection (Open Access)
With the advent of big data era, data plays a pivotal role in sustainingfirms’ competitive advantages. Although a few studies have shown that data analytics capability contributes to firms’ innovative performance, these studies either focus on general innovative performance or specific types of innovation, such as incremental innovation, radical innovation, and supply chaininnovation. In this thesis, I enrich this stream of literature by conducting twostudies to further examine the relationship between data analytics capabilityand innovation speed as well as innovation quality. This thesis consists of twostudies. Study 1 is a survey study, in which I investigate the relationshipbetween data analytics …
Non-Monotonic Generation Of Knowledge Paths For Context Understanding, Pei-Chi Lo, Ee-Peng Lim
Non-Monotonic Generation Of Knowledge Paths For Context Understanding, Pei-Chi Lo, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Knowledge graphs can be used to enhance text search and access by augmenting textual content with relevant background knowledge. While many large knowledge graphs are available, using them to make semantic connections between entities mentioned in the textual content remains to be a difficult task. In this work, we therefore introduce contextual path generation (CPG) which refers to the task of generating knowledge paths, contextual path, to explain the semantic connections between entities mentioned in textual documents with given knowledge graph. To perform CPG task well, one has to address its three challenges, namely path relevance, incomplete knowledge graph, and …
On The Effects Of Information Asymmetry In Digital Currency Trading, Kwansoo Kim, Robert John Kauffman
On The Effects Of Information Asymmetry In Digital Currency Trading, Kwansoo Kim, Robert John Kauffman
Research Collection School Of Computing and Information Systems
We report on two studies that examine how social sentiment influences information asymmetry in digital currency markets. We also assess whether cryptocurrency can be an investment vehicle, as opposed to only an instrument for asset speculation. Using a dataset on transactions from an exchange in South Korea and sentiment from Korean social media in 2018, we conducted a study of different trading behavior under two cryptocurrency trading market microstructures: a bid-ask spread dealer's market and a continuous trading buy-sell, immediate trade execution market. Our results highlight the impacts of positive and negative trader social sentiment valences on the effects of …
The Impact Of Artificial Intelligence And Machine Learning On Organizations Cybersecurity, Mustafa Abdulhussein
The Impact Of Artificial Intelligence And Machine Learning On Organizations Cybersecurity, Mustafa Abdulhussein
Doctoral Dissertations and Projects
As internet technology proliferate in volume and complexity, the ever-evolving landscape of malicious cyberattacks presents unprecedented security risks in cyberspace. Cybersecurity challenges have been further exacerbated by the continuous growth in the prevalence and sophistication of cyber-attacks. These threats have the capacity to disrupt business operations, erase critical data, and inflict reputational damage, constituting an existential threat to businesses, critical services, and infrastructure. The escalating threat is further compounded by the malicious use of artificial intelligence (AI) and machine learning (ML), which have increasingly become tools in the cybercriminal arsenal. In this dynamic landscape, the emergence of offensive AI introduces …
University Of Johannesburg Institutional Repository Cybersecurity Output: 2015-2021 Interdisciplinary Study, Mancha J. Sekgololo
University Of Johannesburg Institutional Repository Cybersecurity Output: 2015-2021 Interdisciplinary Study, Mancha J. Sekgololo
Journal of Cybersecurity Education, Research and Practice
This study examines cybersecurity awareness in universities by analyzing related research output across different disciplines at the University of Johannesburg. The diffusion of innovation theory is used in this study as a theoretical framework to explain how cybersecurity awareness diffuses across disciplines. The University of Johannesburg Institutional Repository database was the data source for this study. Variations in cybersecurity keyword searches and topic modeling techniques were used to identify the frequency and distribution of research output across different disciplines. The study reveals that cybersecurity awareness has diffused across various disciplines, including non-computer science disciplines such as business, accounting, and social …
Blockchain Applications In Higher Education Based On The Nist Cybersecurity Framework, Brady Lund Ph.D.
Blockchain Applications In Higher Education Based On The Nist Cybersecurity Framework, Brady Lund Ph.D.
Journal of Cybersecurity Education, Research and Practice
This paper investigates the integration of blockchain technology into core systems within institutions of higher education, utilizing the National Institute of Standards and Technology’s (NIST) Cybersecurity Framework as a guiding framework. It supplies definitions of key terminology including blockchain, consensus mechanisms, decentralized identity, and smart contracts, and examines the application of secure blockchain across various educational functions such as enrollment management, degree auditing, and award processing. Each facet of the NIST Framework is utilized to explore the integration of blockchain technology and address persistent security concerns. The paper contributes to the literature by defining blockchain technology applications and opportunities within …
Improving Belonging And Connectedness In The Cybersecurity Workforce: From College To The Profession, Mary Beth Klinger
Improving Belonging And Connectedness In The Cybersecurity Workforce: From College To The Profession, Mary Beth Klinger
Journal of Cybersecurity Education, Research and Practice
This article explores the results of a project aimed at supporting community college students in their academic pursuit of an Associate of Applied Science (AAS) degree in Cybersecurity through mentorship, collaboration, skill preparation, and other activities and touch points to increase students’ sense of belonging and connectedness in the cybersecurity profession. The goal of the project was focused on developing diverse, educated, and skilled cybersecurity personnel for employment within local industry and government to help curtail the current regional cybersecurity workforce gap that is emblematic of the lack of qualified cybersecurity personnel that presently exists nationwide. Emphasis throughout the project …
Emergent Ai, Jillian A. Bick
Emergent Ai, Jillian A. Bick
CAFE Symposium 2024
For many years, artificial intelligence (AI) was considered to be limited in its abilities due to being confined to a pre-defined set of data. Currently, however, AI models have grown in complexity and size, leading to some previously impossible behaviors. These behaviors, known as "emergent AI behaviors," are unpredictable and not pre-programmed. Their existence suggests that AI is expanding in adaptability and may one day rival human intelligence. Media often portrays AI as having emotions and having the ability to operate autonomously, but what behaviors are AI really capable of?
Privacy Principles And Harms: Balancing Protection And Innovation, Samuel Aiello
Privacy Principles And Harms: Balancing Protection And Innovation, Samuel Aiello
Journal of Cybersecurity Education, Research and Practice
In today's digitally connected world, privacy has transformed from a fundamental human right into a multifaceted challenge. As technology enables the seamless exchange of information, the need to protect personal data has grown exponentially. Privacy has emerged as a critical concern in the digital age, as technological advancements continue to reshape how personal information is collected, stored, and utilized. This paper delves into the fundamental principles of privacy and explores the potential harm that can arise from the mishandling of personal data. It emphasizes the delicate balance between safeguarding individuals' privacy rights and fostering innovation in a data-driven society. By …
Board Of Directors Role In Data Privacy Governance: Making The Transition From Compliance Driven To Good Business Stewardship, David Warner, Lisa Mckee
Board Of Directors Role In Data Privacy Governance: Making The Transition From Compliance Driven To Good Business Stewardship, David Warner, Lisa Mckee
Journal of Cybersecurity Education, Research and Practice
Data collection, use, leveraging, and sharing as a business practice and advantage has proliferated over the past decade. Along with this proliferation of data collection is the increase in regulatory activity which continues to morph exponentially around the globe. Adding to this complexity are the increasing business disruptions, productivity and revenue losses, settlements, fines, and penalties which can amount to over $15 million, with many penalties now being ascribed to the organization’s leadership, to include the Board of Directors (BoD), the CEO and members of the senior leadership team (SLT). Thus, boards of directors can no longer ignore and in …
Learning From Machines: How Negative Feedback From Machines Improves Learning Between Humans, Tengjian Zou, Gokhan Ertug, Thomas Roulet
Learning From Machines: How Negative Feedback From Machines Improves Learning Between Humans, Tengjian Zou, Gokhan Ertug, Thomas Roulet
Research Collection Lee Kong Chian School Of Business
Prior studies on learning from failure primarily focus on how individuals learn from failure feedback given by other individuals. It is unclear whether and how the advent of machine feedback may influence individuals’ learning from failures. We suggest that failure feedback provided by machines facilitates learning in two ways. First, it focuses individuals’ attention on their failures, leading them to learn from these failures. Second, it serves as a catalyzer, motivating individuals to learn more from failure feedback given to them by other individuals as well. In addition, this catalyzing effect is stronger if the failure feedback from machines and …
Examining Sustainable Overseas Investment Information-Sharing Model For Automobile Enterprises: A Multi-Modal Weight Network Approach, Yuan Cheng, Xiaofang Chen, Changbo Lin, Sheqing Ma, Jie Feng
Examining Sustainable Overseas Investment Information-Sharing Model For Automobile Enterprises: A Multi-Modal Weight Network Approach, Yuan Cheng, Xiaofang Chen, Changbo Lin, Sheqing Ma, Jie Feng
Research Collection School Of Accountancy
In an era of globalization, automotive companies are increasingly looking to make overseas investments to expand their production capacity and explore foreign markets. However, the outcomes of such investments are often influenced by a myriad of factors, including policy changes, social dynamics, and market conditions. To address the need for a comprehensive overseas investment information-sharing model, this research proposes an innovative approach based on a multi-modal weight network. This model aims to provide users with a global perspective on overseas investment opportunities, encompassing policy insights, and market dynamics. It integrates data from various sources, offering multi-dimensional information on investment regions, …
Robust Permissioned Blockchain Consensus For Unstable Communication In Fanet, Zihao Wang, Hang Wang, Zhuowen Li, Xinghua Li, Yinbin Miao, Yanbing Ren, Yunwei Wang, Zhe Ren, Deng, Robert H.
Robust Permissioned Blockchain Consensus For Unstable Communication In Fanet, Zihao Wang, Hang Wang, Zhuowen Li, Xinghua Li, Yinbin Miao, Yanbing Ren, Yunwei Wang, Zhe Ren, Deng, Robert H.
Research Collection School Of Computing and Information Systems
The utilization of blockchain technology as a distributed information sharing system has gained widespread adoption across various domains. However, its application to Flying Ad-Hoc Network (FANET), characterized by severe packet loss, poses significant challenges. The high packet loss rates in FANETs can result in decreased consensus success rates and negatively impact information sharing consistency and efficiency. In this paper, we proposed RoUBC, a novel consensus scheme for Flying Ad-Hoc Networks (FANET), which is based on the Raft protocol and is designed to address the challenges posed by the severe packet loss network in FANET. The proposed scheme consists of two …
Earnhft: Efficient Hierarchical Reinforcement Learning For High Frequency Trading, Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An
Earnhft: Efficient Hierarchical Reinforcement Learning For High Frequency Trading, Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An
Research Collection School Of Computing and Information Systems
High-frequency trading (HFT) is using computer algorithms to make trading decisions in short time scales (e.g., second-level), which is widely used in the Cryptocurrency (Crypto) market, (e.g., Bitcoin). Reinforcement learning (RL) in financial research has shown stellar performance on many quantitative trading tasks. However, most methods focus on low-frequency trading, e.g., day-level, which cannot be directly applied to HFT because of two challenges. First, RL for HFT involves dealing with extremely long trajectories (e.g., 2.4 million steps per month), which is hard to optimize and evaluate. Second, the dramatic price fluctuations and market trend changes of Crypto make existing algorithms …
Market-Gan: Adding Control To Financial Market Data Generation With Semantic Context, Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
Market-Gan: Adding Control To Financial Market Data Generation With Semantic Context, Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
Research Collection School Of Computing and Information Systems
Financial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making. Despite the development of financial market simulation methodologies, existing frameworks often struggle with adapting to specialized simulation context. We pinpoint the challenges as i) current financial datasets do not contain context labels; ii) current techniques are not designed to generate financial data with context as control, which demands greater precision compared to other modalities; iii) the inherent difficulties in generating context-aligned, high-fidelity data given the non-stationary, noisy nature of financial data. To address these challenges, our contributions are: i) we proposed the Contextual …
Towards Assessing Cybersecurity Posture Of Manufacturing Companies: Review And Recommendations, John Del Vecchio, Yair Levy, Ling Wang, Ajoy Kumar
Towards Assessing Cybersecurity Posture Of Manufacturing Companies: Review And Recommendations, John Del Vecchio, Yair Levy, Ling Wang, Ajoy Kumar
KSU Proceedings on Cybersecurity Education, Research and Practice
With the continued changes in the way businesses work, cyber-attack targets are in a constant state of flux between organizations, individuals, as well as various aspects of the supply chain of interconnected goods and services. As one of the 16 critical infrastructure sectors, the manufacturing sector is known for complex integrated Information Systems (ISs) that are incorporated heavily into production operations. Many of these ISs are procured and supported by third parties, also referred to as interconnected entities in the supply chain. Disruptions to manufacturing companies would not only have significant financial losses but would also have economic and safety …
Quantum Computing: Computing Of The Future Made Reality, Janelle Mathis
Quantum Computing: Computing Of The Future Made Reality, Janelle Mathis
KSU Proceedings on Cybersecurity Education, Research and Practice
Abstract—Quantum computing is an emerging new area focused on technology consisting of quantum theory aspects such as electrons, sub-atomic particles, and other materials engineered using quantum mechanics. Through quantum mechanics, these computers can solve problems that classical computers deem too complex. Today the closest computing technology compared to quantum computers are supercomputers, but similarly to classical computers, supercomputers also have faults. With supercomputers, when a problem is deemed too complex, it is due to the classical machinery components within the computer, thus causing a halt in solving the task or problem. In contrast, these problems could be solved with a …