Citizen And Technology: The Core In Developing Human-Centric Smart Cities, Mohammed Ali Berawi, Mustika Sari, Perdana Miraj

CSID Journal of Infrastructure Development

As urbanization continues to grow, the development of smart cities has become a pivotal strategy for addressing the complex challenges of modern urban living. These cities harness advanced technologies like the artificial intelligence (AI), Internet of Things (IoT), and Digital Twin to optimize city operations, improve sustainability, and enhance the quality of life for their residents. However, the success of smart cities should not be measured by the sheer quantity of hardware and software implemented but rather by the quality of life they create for the people who live and work within them. In other words, smart cities must prioritize …

Assessment Of Parking Facilities In Public Areas: The Case Of Keffi Town, Ayodeji Solomon Olatunji, Enogela Ahmed John, Adeyemi Adewumi Adedeji, Muhammed Loko Mikaila

CSID Journal of Infrastructure Development

The absence of adequate parking facilities in residential and public areas remains a significant issue in developing countries, often disrupting economic activities and environmental quality. In Keffi town, the increasing demand for parking exceeds the available supply, leading to congestion and inefficiency. This study evaluates the current public parking facilities, focusing on provision levels, infrastructure conditions, and management frameworks. Primary data were gathered using structured questionnaires and direct observations, with 328 valid responses analyzed through descriptive statistics. Results indicate that prolonged vehicle stays exacerbate congestion, such as at Nasarawa State University (32.8%) and Federal Medical Centre (29.1%). Parallel parking dominates …

Analytical Study On The Intensity Of Surface Urban Heat Island (Suhi) In Kaduna State, Paul Onibaba, Kolade Victor Otokiti, Oluwabukola Grace Ademola, Temitope Mercy Akanle

CSID Journal of Infrastructure Development

Urbanization and climate change are significant drivers of rising Land Surface Temperature (LST) and the formation of Urban Heat Islands (UHIs), which have emerged as pressing environmental challenges in recent decades. This study examines the relationship between Land Use/Cover (LU/C) indices and LST in Kaduna, Nigeria, using multi-temporal Landsat imagery spanning five periods from 2001 to 2021. LST values were derived from the Landsat thermal bands, while LU/C dynamics were identified using the Maximum Likelihood Classifier algorithm. LU/C indices—including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil-Adjusted Vegetation Index …

Assessment Of Project Risk Performance Of Selected Mass Housing Infrastructures In Northern Nigeria, Chinedu Chimdi Adindu, Abdulhaqq Onoruoyiza Muhammed, Emmanuel Ashem Egila, Musa Mohammed

CSID Journal of Infrastructure Development

Mass housing projects in Northern Nigeria often suffer from insufficient risk management, impacting timely delivery, budget adherence, and quality standards. This study assesses risk vulnerabilities in selected mass housing infrastructure projects, focusing on information risks related to roles, responsibilities, scope, requirements, and operations. A mixed-methods approach was employed, with data collected from 465 construction professionals across 20 states, with a 64.58% response rate. Analytical tools, including regression and Pearson correlation, identified critical risks such as underfunding, weak project monitoring and control, and the failure to deliver end-user value. Findings reveal that these risks significantly undermine project outcomes, highlighting the need …

Strategic Knowledge Management Framework For Technology Transfer In Indonesian Joint Operation Construction Projects, Yudha Trimuliadi Suryana, Ayomi Dita Rarasati

CSID Journal of Infrastructure Development

Joint Operation (JO) construction companies in Indonesia face persistent challenges in technology transfer, including misalignment between advanced technologies and organizational capacities. Knowledge management has been proposed as a strategic solution, but its implementation remains underdeveloped. This study develops a framework to enhance technology transfer in JO construction projects through improved knowledge management practices. Utilizing a mixed-methods approach, the research combines a literature review with an analytical hierarchy process, fuzzy set theory, and a simple additive weighting method, supported by data from selected respondents involved in the Jakarta Mass Rapid Transit (MRT) project (CP201). Key findings identify knowledge acquisition, utilization, and …

Digital Twin And Cybersecurity In Additive Manufacturing, Lidong Wang

Journal of Cybersecurity Education, Research and Practice

Additive manufacturing (AM) has been applied to automotive, aerospace, medical sectors, etc., but there are still challenges such as parts’ porosity, cracks, surface roughness, intrinsic anisotropy, and residual stress because of the high level of thermal gradient. It is significant to conduct the modeling and simulation of the AM process and achieve quality products. Digital Twin (DT) can help AM with forecasting defects/errors through simulation and real-time process monitoring. DT is a concept of Industry 4.0, and its digital structure reflects the real-time behaviors of a cyber-physical or physical system. This paper introduces the progress of DT applications in AM, …

Impact Of Logistics Factors On Procurement Of Construction Materials In Lokoja, Kogi State, Muhammed Etudaiye Ohida, Isa Imam, Araoye Olarinkoye Ajiboye

CSID Journal of Infrastructure Development

This study investigates the influence of logistics factors on the procurement of construction materials in Lokoja, Kogi State, aiming to identify and rank the critical elements affecting material procurement in building projects. A total of 250 questionnaires were distributed across nineteen neighborhoods in Lokoja using a random sampling technique. Data were analyzed using descriptive statistics, while the T-test assessed the significance of identified logistics factors. The findings revealed that seventeen logistics factors influence material procurement, with seven factors emerging as the most significant: on-time delivery, transportation challenges, material misdelivery, delivery inaccuracies, order processing, storage capacity limitations, and ineffective information flow. …

Overview Of Nigeria’S Infrastructural Development, Muhammad Onoruiza Audu, Otu Muhammed Adeiza

CSID Journal of Infrastructure Development

This paper offers a comprehensive analysis of Nigeria’s infrastructural development from 2014 to 2023, focusing on significant achievements and recurring challenges. The study examines key projects in transportation, energy, and housing, such as the Abuja-Kaduna and Lagos-Ibadan railways, the Azura-Edo Power Plant, and urban road upgrades. Persistent issues, including insufficient funding, regulatory inefficiencies, regional disparities, and security challenges, are also assessed. Using a mixed-methods approach that incorporates a literature review, data analysis, and stakeholder perspectives, the research evaluates the social and economic effects of these initiatives. The findings provide strategic recommendations to improve infrastructure quality and accessibility, promote sustainable practices, …

Volume 7 (2024) Artificial Intelligence And Responsibility, Arwa Alnajashi, Danielle Derise, Philip L. Frana, David Mcgraw, Amanda Sawyer, Tatjana Titareva, Raafat Zaini, Allie Zombron

International Journal on Responsibility

The seventh volume of the International Journal on Responsibility (IJR) arrives at a crucial moment in the evolution of artificial intelligence and its integration into our academic and social fabric. As we witness the rapid advancement and deployment of AI systems across various domains, this special issue examines the multifaceted dimensions of responsibility surrounding AI technology, with a particular focus on its role in higher education and broader societal implications.

The articles in this volume contribute to our understanding of responsibility through diverse lenses, from classroom implementation to ethical design considerations. Together, they fulfill IJR’s central mission of exploring “Who …

Computer-Mediated Communication And Artificial Intelligence Strategies In Arts Entrepreneurship, Anna Blake

Journal of Arts Entrepreneurship Education

This study analyzes the potential of artificial intelligence (AI) using computer-mediated communication (CMC) theory to prospect areas for innovation in an emerging field that is rapidly becoming integrated within our everyday lives as well as in the marketplace. In order to demonstrate how arts entrepreneurs can effectively and ethically leverage AI technologies to communicate with their audiences and stakeholders, I examine as case studies the work of individual artists including Grimes. The CMC framework is used to examine art as a form of communication, illustrate how AI changes the nature of art, challenge the extant concepts of identity and intellectual …

Utilizing Large Language Models To Synthesize Product Desirability Datasets, John D. Hastings, Sherri Weitl-Harms, Joseph Doty, Zachary L. Myers, Warren Thompson

Research & Publications

This research explores the application of large language models (LLMs) to generate synthetic datasets for Product Desirability Toolkit (PDT) testing, a key component in evaluating user sentiment and product experience. Utilizing gpt-4o-mini, a cost-effective alternative to larger commercial LLMs, three methods, Word+Review, Review+Word, and Supply-Word, were each used to synthesize 1000 product reviews. The generated datasets were assessed for sentiment alignment, textual diversity, and data generation cost. Results demonstrated high sentiment alignment across all methods, with Pearson correlations ranging from 0.93 to 0.97. Supply-Word exhibited the highest diversity and coverage of PDT terms, although with increased generation costs. Despite minor …

Empowering Tech Professionals: Mentorship And Interview Preparation In The Face Of Industry Layoffs, Sakhi Aggrawal

Purdue Journal of Service-Learning and International Engagement

In recent years, the Information Technology (IT) industry has witnessed significant turmoil, marked by waves of mass layoffs that have left numerous skilled professionals grappling with job loss and uncertainty. The year 2023 alone saw over 250,000 tech workers in U.S.-based companies lose their livelihoods due to corporate restructuring, with renowned giants like Amazon, Alphabet, Microsoft, and Meta being forced to trim their workforce. This unsettling trend highligts a pressing need to support those affected and empower them to regain stability in their careers.

Against this backdrop, I, an experienced technical program manager and software engineer with a background at …

The Leadership Identity Presented On Linkedin, Carl L. Tolbert

The Journal of Values-Based Leadership

LinkedIn has evolved in a way similar to other social media platforms but is unique in that it focuses on professional networking and careers. Many professionals seek to showcase their leadership skills and philosophies as part of a publicly showcased online persona. This paper aimed to examine the posts specific to leadership and thematically investigate presentation strategies, motivation, and purposes behind the posts. The paper begins with a historical review from the inception of LinkedIn through pivotal milestones in the history of the company. Key concepts from the literature are then reviewed specific to social media use and motivations behind …

Potential Impact Of Artificial Intelligence On Small And Medium Enterprises Innovation In The Eu: A Perspective From Poland, Malgorzata Wilczynska, Alina Walenia, Artur Dabek, Daniel Salabura, Halina Kot

Markets, Globalization & Development Review

The development of small and medium-sized enterprises is a complex process that requires the use of all approaches to achieve success. In this regard, finding opportunities to use artificial intelligence in such companies is of great importance. The study aims to assess how this technology affects the innovation and financial performance of small and medium-sized enterprises. To draw the main conclusions, the implementation of artificial intelligence at Polish enterprises, including in the context of their financial performance, namely the level of return on assets and the level of debt, was analysed. The study showed that the introduction of artificial intelligence …

Analyzing The Role Of Innovation And Digitalization In Accelerating Productivity: A Comparative Analysis Of Four Asian Countries, Muhammad Adnan Khan, Muhammad Azam Khan, Muhammad Tariq

CBER Conference

Productivity growth has remained slow in the Asian countries. The feasible option to accelerate productivity growth for a country is not only tangible capital (labor and capital) but also intangible capital such as innovation and digitalization. The study examines the role of innovation and digitalization on output productivity for four Asian countries: Bangladesh, China, India, and Pakistan using data from 1990-2022. Based on the findings of the unit root test, the study used the Autoregressive Distributed Lag (ARDL) technique and Kao test to explore the long-run relationship among the variables. The long-run results show that innovation and digitalization have a …

Assessing Pakistan’S Textile Exports Under Trade Agreements, Amjad Masood, Junaid Ahmed, Khuda Bakhsh

CBER Conference

Textiles serve as the export engine of Pakistan’s economy, constituting 60 percent of its total exports. Despite this prominence, Pakistan's global share in textile exports has consistently declined. Considering this, this study explores the potential impact of Free Trade Agreements (FTAs) on fostering textile exports. The study applied a structural gravity model with the Poisson pseudo-maximum likelihood (PPML) estimator to analyze annual exports for the period 2002–2021. Findings exhibit a positive and statistically significant effect of FTAs on textile exports, with varied impacts compared to major competitors. Moreover, we categorized textile products at the HS 4-digit level based on their …

The Role Of Qa Automation In Eliminating Waste In Project Teams, Ejiro Esiri

Harrisburg University Dissertations and Theses

This study explores the impact of Quality Assurance (QA) automation on reducing waste in Search Engine Optimization (SEO) projects within enterprise organizations. Manual QA processes often result in bugs and defects that negatively affect project quality and business outcomes. Although automated QA testing promises improved accuracy and fewer errors, its implementation and effectiveness in SEO projects have yet to be thoroughly researched. This study uses qualitative research methods, including surveys of SEO professionals, QA specialists, and project managers in enterprise organizations, to examine how automated QA testing influences the performance and outcomes of SEO projects. The results show that companies …

The Effectiveness Of Risk Management In Project Success, Vishwa Goswami

Harrisburg University Dissertations and Theses

Abstract: This study investigated the effectiveness of risk management on project success within agile software development environments. It addressed the increasing complexity and challenges that agile teams faced in managing risks, which, if unmitigated, could significantly hinder project outcomes relate to time, cost, quality, and stakeholder satisfaction. By examining the intersection of risk management practices with agile methodologies, the research identified critical gaps and proposed tailored solutions to enhance overall project success. The study emphasized the importance of incorporating risk management into project planning and execution, thereby increasing the likelihood of successful project outcomes. It analyzed the effects of organizational …

Using Llms To Establish Implicit User Sentiment Of Software Desirability, Sherri Weitl-Harms, John D. Hastings, Jonah Lum

Research & Publications

This study explores the use of LLMs for providing quantitative zero-shot sentiment analysis of implicit software desirability, addressing a critical challenge in product evaluation where traditional review scores, though convenient, fail to capture the richness of qualitative user feedback. Innovations include establishing a method that 1) works with qualitative user experience data without the need for explicit review scores, 2) focuses on implicit user satisfaction, and 3) provides scaled numerical sentiment analysis, offering a more nuanced understanding of user sentiment, instead of simply classifying sentiment as positive, neutral, or negative.

Data is collected using the Microsoft Product Desirability Toolkit (PDT), …

Physiological Positioning And Its Effects On Seated Vs. Standing Workers, Carlos Gautreaux

Theses & Dissertations

In the digital era, distractions in the working environment significantly impede professionals’ ability to maintain attention during the workday. Recent studies underscore the benefits of adjustable desks that allow for transitions between sitting and standing, highlighting improvements in workers’ physical and psychological health. Specifically, it has been noted that standing enhances cognitive function, focus, and mental acuity while alleviating stress. Despite these insights, research has yet to systematically explore the impact of standing while working on attentional performance. Moreover, the effect of standing while working may vary between on-site and remote working environments due to differences in ambient distractions. This …

Safeguarding Virtual Healthcare: A Novel Attacker-Centric Model For Data Security And Privacy, Suvineetha Herath, Haywood Gelman, John Hastings, Yong Wang

Research & Publications

The rapid growth of remote healthcare delivery has introduced significant security and privacy risks to protected health information (PHI). Analysis of a comprehensive healthcare security breach dataset covering 2009-2023 reveals their significant prevalence and impact. This study investigates the root causes of such security incidents and introduces the Attacker-Centric Approach (ACA), a novel threat model tailored to protect PHI. ACA addresses limitations in existing threat models and regulatory frameworks by adopting a holistic attacker-focused perspective, examining threats from the viewpoint of cyber adversaries, their motivations, tactics, and potential attack vectors. Leveraging established risk management frameworks, ACA provides a multi-layered approach …

Esg Ratings In The Mining Industry: Factors And Implications, Mahelet G. Fikru, Jennifer Brodmann, Lili Eng, J. Andrew Grant

Economics Faculty Research & Creative Works

While previous research explores the relationship between ESG ratings, firm size, and financial outcomes, there is a lack of comprehensive analysis comparing multiple ESG ratings within the mining industry. This gap is crucial given the increasing focus on ESG in mining operations and its potential impact on company performance. Based on proprietary financial and ESG ratings data from 200 mining companies, this study investigates the relationship between two different ESG ratings and firm characteristics. We compare ESG-rated firms with unrated firms in terms of firm size, and financial performance indicators, and explore country-level patterns in ESG ratings. Findings reveal that …

Extension Partnerships For Innovative Programming: A Community-Based Training On Artificial Intelligence For Workforce Development, Paul A. Hill, Lendel K. Narine, Jordan L. Rushton, Clint J. Reid

Journal of Human Sciences and Extension

The AI Training Series was Washington County, Utah’s first community education offering on the topic of generative AI (GenAI). The training provided community members with an overview of the capabilities and advantages of GenAI and assisted them in making informed technology adoption decisions. Utah State University Extension partnered with Dixie Technical College and Zonos, a software company, to evaluate the effectiveness of the learning experience based on anticipated outcomes. Results showed the training was effective for disseminating information and advancing knowledge on the topic of GenAI. However, students’ intentions to adopt AI were lower than expected due to perceived barriers …

Securing Mobile Payments: The Impact Of Blockchain Technology On Transaction Integrity, Snehal Chaudhari

Electronic Theses, Projects, and Dissertations

This study investigates how blockchain, tokenization, and smart contracts improve security and transparency in mobile payment systems, addressing critical vulnerabilities in the increasing mobile payments industry. The main research questions are: (RO1) How can integrating blockchain technology improve the transparency and security of mobile payments? (RO2) Why do tokenization and smart contracts play a crucial role in improving security for mobile payments?

Case study outcomes include: (RO1) Shido Wallet's decentralized blockchain provides more control and transparency over their financial transactions, overcoming traditional security and trust concerns. Project Khokha illustrates blockchain's scalability and efficiency by allowing for high-speed, confidential interbank transactions. …

Comparative Assessment Of Machine Learning And Deep Learning Models For Drug Effectiveness Using Sentiment Analysis, Blessing Ogechukwu Nwogu

Electronic Theses, Projects, and Dissertations

In recent years, the proliferation of online patient-generated drug reviews has created a valuable resource for assessing drug effectiveness and patient satisfaction, with sentiment analysis emerging as a powerful tool for extracting insights from this unstructured data.

This culminating research project conducted a comparative analysis of traditional Machine Learning (ML) and Deep Learning (DL) models for assessing drug effectiveness using sentiment analysis of participant reviews. The research aimed to evaluate the performance of Support Vector Machine (SVM), XGBoost, Random Forest, Long Short-Term Memory (LSTM), and Bidirectional Encoder Representations from Transformers (BERT) models in this context. This culminating research project addressed …

Research On The Influence Of Complementary Assets On Innovation Performance Of New R&D Institutions, Yong Li

Dissertations and Theses Collection (Open Access)

Since the development of new R&D institutions in China in the 1990s, they have received advocacy and support from both national and local governments. After more than 20 years of exploration and development, new R&D institutions have gradually developed characteristics such as diversified investment sources, flexible organizational structures, market-oriented operations, and multi-functional coordination. These institutions have increasingly played an active role in promoting scientific and technological innovation and regional economic development. In the research on the development and evolution, modes and mechanisms, and performance and evaluation of new R&D institutions, numerous results have been generated, promoting the construction and development …

The Research On The Impact Of Listing Regime On Innovation For The Biotech Industry: Inspiration And Experience From Mb Rules 18a Published By Hkex, Yueying Dong

Dissertations and Theses Collection (Open Access)

The development of the Biotech Industry is not only connected to the national economy and livelihood of the people, but also affects the technology development, economy growth and national security of the country. The development depends on the technology innovation, with the essence for the continuous process of financial ecology guiding and technology refresh driving. For high-tech intensive industries of biotech companies, the development of the equity market is an important support for promoting the technology innovation. The capital market in guiding resource allocation has the responsibility of optimizing the listing regime, providing more external financing channels and promoting the …

Digital Footprint Management: Youth And Social Media On Protecting Your Online Identity And Reputation, Jorge Aguiar

Electronic Theses, Projects, and Dissertations

Fifty percent (50%) of youth between the ages of 8 and 17 have been discovered to use the internet and social media services on a daily basis. This (50%) also demonstrates the rising issues between digital footprints, cyberbullying, and cybercrime rates against these types of youth. It was discovered that youths, between the ages of 8 and 17 years old, are savvy with technology, based on gender, grade, and socioeconomic status, but also lack the awareness of their own digital footprint and how to manage it. Researchers have discovered that issuing cybersecurity awareness school lesson plans and parental controls may …

Flexible Vs. Dedicated Technology Choice In The Presence Of Multiproduct Subscription Programs, Liling Lu, Onur Boyabatli, Sarah Yini Gao

Research Collection Lee Kong Chian School Of Business

Recently, automotive manufacturers have started offering multi-car subscription programs that give customers access to a menu of car models with possibility of switching between the models. The maintenance and depreciation costs during the program are borne by the manufacturers before the cars are sold in the pre-owned market. This paper studies how offering such a subscription program shapes the firm’s flexible versus dedicated technology choice and capacity investment decisions. We consider a two-product firm that makes these decisions under uncertain demand in a single subscription period. The firm faces two types of demand based on which product is requested at …

Sustainability In The Wake Of Crisis: Transforming Climate Change-Induced Disasters Into Drivers Of Renewable Energy Innovation In Business, Hiva Rastegar, Aymen Sajjad, Gabriel Eweje, Kazunori Kobayashi

Research outputs 2022 to 2026

This study examines how climate change-induced disasters affect renewable energy innovation in United States-based firms. To this end, we utilized the behavioral theory of the firm and the threat rigidity model to investigate strategic decision-making in the context of environmental crises. We employed a difference-in-differences approach combined with meta-analysis. Further, we analyzed data from 2013 to 2018 and found a significant increase in renewable energy innovation following climatological disasters, marked by an effect size of 0.74. However, firms exceeding their aspiration levels exhibit a smaller impact, reducing the effect on renewable energy innovation by 0.273 units. Additionally, firms with a …