Startup Equity To Stock Exchange: Key Drivers In Venture-Backed Ipo Journeys,
2025
Claremont McKenna College
Startup Equity To Stock Exchange: Key Drivers In Venture-Backed Ipo Journeys, Aryaman Shiv Khosla
CMC Senior Theses
This study investigates the components that shape the probability of a venture capital (VC) backed company’s ability to transition from private to public markets through an Initial Public Offering (IPO). The study employs logistic regression models to analyze firm-specific and funding-related determinants of IPO likelihood. Key predictors in this study include total VC funding, number of VC rounds, average deal size growth, size of first round, average days between rounds, company age, number of employees, and primary industry sector. The findings reveal that higher total funding increases IPO likelihood, highlighting the critical role of robust capital access in fueling growth …
Skip-Level Meetings: Perspectives Of Skipped First-Tier U.S. Tech Leaders,
2025
Anderson University
Skip-Level Meetings: Perspectives Of Skipped First-Tier U.S. Tech Leaders, Samuel Blacher
Dissertations
Although significant research exists on numerous intersecting theories, such as adaptive leadership, leadership communication, and employee voice, and although they are discussed in business publications and widely yet inconsistently implemented in industry, skip-level meetings are little scholarly studied. Such meetings offer benefits for employees, direct (skipped) managers, and skip-level leaders, and through them, to organizations, yet they also hold risks and pitfalls, and are influenced by various contextual factors, such as stakeholders’ national culture and age. This exploratory qualitative study employed elements of interpretive phenomenology, followed by thematic analysis, to examine the experiences, perceptions, and emotions of a diverse set …
Multimodal Wearable Intelligence For Dementia Care In Healthcare 4.0: A Survey,
2025
Old Dominion University
Multimodal Wearable Intelligence For Dementia Care In Healthcare 4.0: A Survey, Po Yang, Gaoshan Bi, Jun Qi, Xulong Wang, Yun Yang, Li Da Xu
Information Technology & Decision Sciences Faculty Publications
As a new revolution of Ubiquitous Computing and Internet of Things, multimodal wearable intelligence technique is rapidly becoming a new research topic in both academic and industrial fields. Owning to the rapid spread of wearable and mobile devices, this technique is evolving healthcare from traditional hub-based systems to more personalised healthcare systems. This trend is well-aligned with recent "Healthcare 4.0" which is a continuous process of transforming the entire healthcare value chain to be preventive, precise, predictive and personalised, with significant benefits to elder care. But empowering the utility of multimodal wearable intelligence technique for elderly care like people with …
A Two-Phase Learning Approach Integrated With Multi-Source Features For Cloud Service Qos Prediction,
2025
Tianjin University
A Two-Phase Learning Approach Integrated With Multi-Source Features For Cloud Service Qos Prediction, Fuzan Chen, Jing Yang, Haiyang Feng, Harris Wu, Minqiang Li
Information Technology & Decision Sciences Faculty Publications
Quality of Service (QoS) is a key factor for users when choosing cloud services. However, QoS values are often unavailable due to insufficient user evaluations or provider data. To address this, we propose a new QoS prediction method, Multi-source Feature Two-phase Learning (MFTL). MFTL incorporates multiple sources of features influencing QoS and uses a two-phase learning framework to make effective use of these features. In the first phase, coarse-grained learning is performed using a neighborhood-integrated matrix factorization model, along with a strategy for selecting high-quality neighbors for target users. In the second phase, reinforcement learning through a deep neural network …
A Spoofing Speech Detection Method Combining Multi-Scale Features And Cross-Layer Identification,
2025
Taiyuan University of Technology
A Spoofing Speech Detection Method Combining Multi-Scale Features And Cross-Layer Identification, Hongyan Yuan, Linjuan Zhang, Baoning Niu, Xianrong Zheng
Information Technology & Decision Sciences Faculty Publications
Pre-trained self-supervised speech models can extract general acoustic features, providing feature inputs for various speech downstream tasks. Spoofing speech detection, which is a pressing issue in the age of generative AI, requires both global information and local features of speech. The multi-layer transformer structure in pre-trained speech models can effectively capture temporal information and global context in speech, but there is still room for improvement in handling local features. To address this issue, a speech spoofing detection method that integrates multi-scale features and cross-layer information is proposed. The method introduces a multi-scale feature adapter (MSFA), which enhances the model’s ability …
Optimal Control Of Queueing Systems With Error-Prone Servers,
2025
Old Dominion University
Optimal Control Of Queueing Systems With Error-Prone Servers, Junqi Hu, Sigrún Andradóttir, Hayriye Ayhan
Information Technology & Decision Sciences Faculty Publications
Consider a Markovian tandem line with finite intermediate buffers and an equal number of stations and servers. Servers are flexible but noncollaborative, so that a job can be processed by at most one server at any time. When a job is being processed, it can be damaged and wasted depending on the proficiency of the server. We identify the dynamic server assignment policy that maximizes the long-run average throughput of the system with two stations and two servers. We find that the optimal policy is either a single or a double threshold policy on the number of jobs in the …
Investing In The Age Of Generative Ai: A Gpt-Based Sentiment Analysis Approach,
2025
Old Dominion University
Investing In The Age Of Generative Ai: A Gpt-Based Sentiment Analysis Approach, Xianrong Zheng
Information Technology & Decision Sciences Faculty Publications
Generative AI, which ushers a new age of AI, comes with huge economic potential. To capitalize the AI boom, investors are interested in trading AI stocks. AI chatbots, which can identify and classify the sentiment from financial news, can be leveraged for investment. So, this paper proposes a GPT-based sentiment analysis approach for trading AI stocks. Also, natural experiments are conducted to evaluate its effectiveness. Initial results show that the approach achieves a good rate of return.
5g-Practical Byzantine Fault Tolerance: An Improved Pbft Consensus Algorithm For The 5g Network,
2025
Taiyuan University of Technology
5g-Practical Byzantine Fault Tolerance: An Improved Pbft Consensus Algorithm For The 5g Network, Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng
Information Technology & Decision Sciences Faculty Publications
The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects the efficiency and security of the whole system. Practical Byzantine Fault Tolerance (PBFT) plays a crucial role in blockchain consensus algorithms by providing a robust mechanism to achieve fault-tolerant and deterministic consensus in distributed networks. With the development of 5G network technology, its features of high bandwidth, low latency, and high reliability provide a new approach for consensus algorithm optimization. To take advantage of the features of the 5G network, this paper proposes 5G-PBFT, which is an improved practical Byzantine fault-tolerant …
A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities,
2025
Chualongkorn University
A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities, Thira Chavarnakul, Li Da Xu, Zhuming Bi, Achyut Shankar, Gaurav Dhiman, Wattana Viriyasitavat, Danupol Hoonsopon
Information Technology & Decision Sciences Faculty Publications
In an era marked by relentless technological shifts and market volatility, digital transformation (DT) alone is insufficient. Organizations must develop Resilient Digital Transformation (RDT)—the organizational capabilities required to sustain DT over a medium-term horizon—to navigate these challenges effectively. This study primarily aims to propose a guideline for fostering RDT. Drawing on the PRISMA guidelines and a systematic review of 77 peer-reviewed papers, this study identifies and synthesizes key targets and drivers across three core pillars: Technology, Organization, and External Environment. These elements collectively foster organizational resilience. Specifically, this study highlights how adaptability, innovation, and scalability form the technological underpinnings of …
A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models,
2025
Ulsan National Institute of Science and Technology
A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models, Sang-Ha Sung, Chang-Sung Seo, Michael Pokojovy, Sangjin Kim
Mathematics & Statistics Faculty Publications
The quality of input data is critical to the performance of time-series classification models, particularly in the domain for industrial sensor data where noise and anomalies are frequent. This study investigates how various filtering-based preprocessing techniques impact the accuracy and robustness of a Transformer model that predicts power efficiency states (Normal, Caution, Warning) from minute-level IIoT sensor data. We evaluated five techniques: a baseline, Simple Moving Average, Median filter, Hampel filter, and Kalman filter. For each technique, we conducted systematic experiments across time windows (360 and 720 min) that reflect real-world industrial inspection cycles, along with five prediction offsets (up …
Analysis Of Technology Skill Requirements For Entry-Level Accountants,
2025
Columbus State University
Analysis Of Technology Skill Requirements For Entry-Level Accountants, Jiane Louella Tolentino Rabara
Theses and Dissertations
This study examines the evolving impact of emerging technologies on skill requirements for entry-level accountants. Using a mixed-method approach that combines literature review and quantitative analysis of 2,257,082 job postings from 2021 to 2024 provided by the Butler Center for Research and Economic Development, the study evaluates trends in employer expectations across firm sizes and time. Chi-square tests revealed significant changes in the proportion of postings requiring technological skills (χ² = 117,672, df = 3, p < .001), indicating a shift in how technology-related competencies are presented in job ads. Specifically, while previous job postings often included general technical skills alongside traditional accounting tasks, recent job postings increasingly emphasize advanced or specialized technologies—such as ERP systems, cloud accounting platforms, and automation tools. This shift suggests that employers are moving away from broad technical expectations toward more targeted skill sets, reflecting the evolving technological demands of the profession. A separate chi-square test found a significant relationship between technological skill requirements and job ad duration (χ² = 2,309.57, df = 4, p < .001). However, no consistent pattern of longer posting duration was observed for technology-oriented roles. Literature-based synthesis further showed that large accounting firms continue to demand more advanced technological competencies than smaller firms. Overall, while traditional accounting skills remain predominant, the findings indicate a transition toward more specialized technological expectations in the entry-level accounting role.
Ai Agents And Agentic Systems: A Multi-Expert Analysis,
2025
Edith Cowan University
Ai Agents And Agentic Systems: A Multi-Expert Analysis, Laurie Hughes, Yogesh K. Dwivedi, Tegwen Malik, Mazen Shawosh, Mousa Ahmed Albashrawi, Il Jeon, Vincent Dutot, Mandanna Appanderanda, Tom Crick, Rahul De’, Mark Fenwick, Senali Madugoda Gunaratnege, Paulius Jurcys, Arpan Kumar Kar, Nir Kshetri, Keyao Li, Sashah Mutasa, Spyridon Samothrakis, Michael Wade, Paul Walton
Research outputs 2022 to 2026
The emergence of AI agents and agentic systems represents a significant milestone in artificial intelligence, enabling autonomous systems to operate, learn, and collaborate in complex environments with minimal human intervention. This paper, drawing on multi-expert perspectives, examines the potential of AI agents and agentic systems to reshape industries by decentralizing decision-making, redefining organizational structures, and enhancing cross-functional collaboration. Specific applications include healthcare systems capable of creating adaptive treatment plans, supply chain agents that predict and address disruptions in real-time, and business process automation that reallocates tasks from humans to AI, improving efficiency and innovation. However, the integration of these systems …
Factors Influencing The Adoption Of Artificial Intelligence Systems: A Systematic Literature Review,
2025
Edith Cowan University
Factors Influencing The Adoption Of Artificial Intelligence Systems: A Systematic Literature Review, Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh, Denise Gengatharen
Research outputs 2022 to 2026
Purpose: Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of expectations, leading to unsuccessful implementations. This paper aims to identify and elucidate the factors influencing AI adoption at both the organisational and individual levels. Developing a conceptual model, it contributes to understanding the underlying individual, social, technological, organisational and environmental factors and guides future research in this area. Design/methodology/approach: The authors have conducted a systematic literature review to synthesise the literature on the determinants of AI adoption. In total, 90 papers published in the field …
Innovation Through Conceptual Research: Tips For Stoking Curiosity,
2025
Edith Cowan University
Innovation Through Conceptual Research: Tips For Stoking Curiosity, Jun Wen
Research outputs 2022 to 2026
Conceptual research represents a critical step in the theory-building process and contributes innovative ideas that inspire empirical studies. This feature article highlights the importance of such research in academia with examples drawn from the tourism literature. It also critically discusses issues related to publishing conceptual research in premier journals. By using a five-dimension framework of curiosity (i.e., deprivation sensitivity, joyous exploration, social curiosity, stress tolerance, and thrill seeking), scholars can assess researchers’ conceptual topics and readers’ responses when contemplating “what's new” to gauge a paper's publication potential. Several tips are offered to guide like-minded scholars in conducting sound conceptual research: …
Application Of Enterprise Architecture To Guide The Integration Of Health Information Systems In Namibia,
2025
Edith Cowan University
Application Of Enterprise Architecture To Guide The Integration Of Health Information Systems In Namibia, Laizah Mutasa, Martin Mabeifam Ujakpa, Wandisa Nyikana, Irja Shaanika, Tiko Iyamu
Research outputs 2022 to 2026
Namibia is characterized by a fragmented health-care system that has led to data inconsistencies and duplication of efforts. It has also become costly to health-care institutions to maintain these fragmented, standalone systems. This study examined how enterprise architecture (EA) can be applied to guide the integration of health information systems (HISs) in the Namibian health-care context. A qualitative approach was applied to collect data from two cases using semi structured interviews and an interpretive approach in the analysis. From the analysis, the constructs of requirements clarity, information systems and technology (IS/T) project management, systems documentation, and communication were discovered to …
The Effect Of Robot Anthropomorphism On Employee Recovery Of Robot Service Failures: The Mediation Of Employee Empathy,
2025
Edith Cowan University
The Effect Of Robot Anthropomorphism On Employee Recovery Of Robot Service Failures: The Mediation Of Employee Empathy, Jiangchi Zhang, Chaowu Xie, Songshan Huang
Research outputs 2022 to 2026
Purpose: This study aims to investigate employee responses to robot service failures. It examines how employees recover from such failures at varying levels of robot anthropomorphism, considering the mediating role of employee empathy and the moderating role of service failure type. Design/methodology/approach: Three scenario-based experiments were designed and implemented. The statistical analysis techniques adopted were independent samples t-test, multivariate analysis of variance and regression. Findings: Findings reveal: a curvilinear relationship exists between employee proactive/reactive recovery and robot anthropomorphism; employee empathy mediates this relationship; and physical affordance failures prompt low proactive and high reactive recovery for low-anthropomorphism robots, while cognitive affordance …
Electrostatic Effects On The Transport And Dispersion Of Micro-Nano Pharmaceutical Powders,
2025
The University of Texas at Tyler
Electrostatic Effects On The Transport And Dispersion Of Micro-Nano Pharmaceutical Powders, Mohammed Ali
Technology Faculty Publications and Presentations
A predetermined amount of micro-nano powder particles contributes to the treatment during a patient’s inhalation of the bolus of respiratory micro-nano pharmaceutical powders in an aerosolized state from commercially available inhalers. The most popular inhalers are the metered dose inhalers (MDIs) and dry powder inhalers (DPIs). While inhaling, the complicated inlet velocity profile and turbulent flow in the mouth-throat significantly impact the gaining of electrostatic charge through triboelectric charging. The inhaled particles are not only varying sizes but also polarities of charges. However, few studies have been conducted to investigate electrostatic charge force effects on particle losses in the oral, …
Confronting Indecision,
2025
Dartmouth College
Confronting Indecision, Lane Allison Murray
ENGS 15.11: Design and Education
This course aims to increase students' understanding of indecision and how to confront it. The class provides insight into how the fear of the unknown holds people back from making decisions and about understanding one's values as a means to combat indecision. Students and teachers alike explore instances of indecision and evaluate their own impulses & thought processes by reflecting on the deeper reasons for their choices. Students will increase their comfort level of asking themselves and their peers questions about the values that guide them and, in doing so, strengthen their relationships with themselves and others.
Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution,
2025
Old Dominion University
Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution, Laura Costadone, Shan Zhang
ODU Articles
Nature-based Solutions (NbS) offer multifunctional approaches to address climate change and environmental challenges, providing a sustainable alternative to traditional gray infrastructure. Despite their promise, widespread adoption remains limited, in part due to an incomplete understanding of their full costs and benefits relative to conventional infrastructure. Traditional benefit–cost analyses often overlook non-monetized benefits and the interconnected ecosystem services provided by NbS. This study introduces a methodological approach to quantify both the physical and monetary value of ecosystem services and co-benefits delivered by an NbS project. We applied an integrated valuation framework to a case study in Virginia Beach, VA, USA, where …
Artificial Intelligence And Digital Technologies In Finance: A Comprehensive Review,
2025
University of New Haven
Artificial Intelligence And Digital Technologies In Finance: A Comprehensive Review, Soudeh Pazouki, Mohamad Jamshidi, Mirarmia Jalali, Arya Tafreshi
Finance Faculty Publications
This study explores the transformative impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry, highlighting their role in fostering business growth, operational efficiency, and enhanced customer engagement. AI-driven strategies have unlocked new avenues for streamlining workflows, boosting productivity, and expanding financial inclusion by reaching underrepresented populations. However, these advancements also pose challenges, including navigating complex regulatory frameworks and adapting to the rapidly evolving technological landscape. This paper delves into the macroeconomic effects of AI, examining its influence on labor markets, consumer behavior, and organizational success. Furthermore, the paper discusses blockchain applications and their potential to …
