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Technology Within Cultures: Segmenting The Wired Consumers In Canada, France, And The Usa, Maria Petrescu, Aidin Namin, Marie-Odile Richard 2023 Embry-Riddle Aeronautical University

Technology Within Cultures: Segmenting The Wired Consumers In Canada, France, And The Usa, Maria Petrescu, Aidin Namin, Marie-Odile Richard

Publications

This paper uses a state-of-the-art quantitative modeling approach to latent class analysis to analyze American, Canadian, and French consumers’ perception of technology-based products and their cultural values. It identifies hidden segments of consumers based on technology adoption propensity, cosmopolitan characteristics, and identification with the global consumer culture. The study emphasizes the diversity and variability between and among countries regarding localism, globalism, cosmopolitanism, and the global consumer culture. The framework provides a new way to evaluate modern consumers and reflects the combination of national/regional cultural characteristics and global culture elements while highlighting the relevance of modern technologies and communication methods in …


Predictability Augmentation By In-Silico Study To In-Vivo And In-Vitro Results Of Lung Doses Of Airborne Fine And Ultrafine Particles Inhaled By Humans At Industrial Workplaces, Mohammed Ali 2023 The University of Texas at Tyler

Predictability Augmentation By In-Silico Study To In-Vivo And In-Vitro Results Of Lung Doses Of Airborne Fine And Ultrafine Particles Inhaled By Humans At Industrial Workplaces, Mohammed Ali

Technology Faculty Publications and Presentations

This study correlates computational predictions with in vivo and in vitro experimental results of inhaled fine and ultrafine particulate matter (PM) transport, dissemination, and deposition in the human respiratory airways. Epidemiological studies suggest that workplace exposure to anthropogenic pollutant PMs is a risk factor for increased susceptibility to acute bronchopulmonary illnesses. However, investigations on detailed human inhalation and PM transport processes are restrictive from time, cost, and ethical perspectives. Computational simulation based on the Multiple Path Particle Dosimetry (MPPD) model was employed to quantify the risks associated with workplace exposure of these PMs. Here, the physical, mechanical, and electrical properties …


Union Pacific Strategic Audit, Maureen O'Hara 2023 University of Nebraska-Lincoln

Union Pacific Strategic Audit, Maureen O'Hara

Honors Program: Senior Projects (Public)

Union Pacific is the largest domestic railroad in the United States, responsible for nearly all of the rail-based shipping in the 23 states making up the Western two-thirds of the country. The company provides a crucial link in the global supply chain. By utilizing internal and external analysis tools, this report seeks to understand how Union Pacific’s business model and strategies have led them to create and sustain competitive advantages against other big competitors in the transportation industry. The analysis utilizes tools such as PESTLE, Porter’s Five Forces, and SWOT analyses. Following the application of the analysis, strategic recommendations are …


Racism Pays: How Racial Exploitation Gets Innovation Off The Ground, Daria Roithmayr 2023 University of Southern California Gould School of Law

Racism Pays: How Racial Exploitation Gets Innovation Off The Ground, Daria Roithmayr

Michigan Journal of Race and Law

Recent work on the history of capitalism documents the key role that racial exploitation played in the launch of the global cotton economy and the construction of the transcontinental railroad. But racial exploitation is not a thing of the past. Drawing on three case studies, this Paper argues that some of our most celebrated innovations in the digital economy have gotten off the ground by racially exploiting workers of color, paying them less than the marginal revenue product of their labor for their essential contributions. Innovators like Apple and Uber have been able to racially exploit workers of color because …


Research On The Relationship Between Service-Oriented Manufacturing Platforms And Customer Enterprise Innovation — Evidence From The 3d Printing Industry, Donglai ZHAO 2023 Singapore Management University

Research On The Relationship Between Service-Oriented Manufacturing Platforms And Customer Enterprise Innovation — Evidence From The 3d Printing Industry, Donglai Zhao

Dissertations and Theses Collection (Open Access)

Micro, small and medium-sized enterprises (MSMEs) are highly flexible and creative and play a significant role in the national economy and in employment, innovation, and entrepreneurship. However, due to their relatively small size, low technical level, lack of funds and talent, and backward management, they generally face development predicaments, such as the pressure to survive and weak anti-risk abilities. Therefore, in addition to leveraging their initiative to develop their competitive strength, making full use of external public service resources has become one approach MSMEs can take to find a way out of such predicaments. Various service-oriented manufacturing platform enterprises have …


Building A Society Of Trust: Innovation And The Future Of Youth Employment In Jordan, Pierre Cativiela 2023 SIT Study Abroad

Building A Society Of Trust: Innovation And The Future Of Youth Employment In Jordan, Pierre Cativiela

Independent Study Project (ISP) Collection

The word startup is perhaps an unlikely word that comes to mind when discussing shifting dynamics in the Middle East – this is rapidly changing. In the past two decades, Arab entrepreneurs have emerged from across the region as key players in the paradigm of national economic visions. Within these plans, innovation will become the epicenter for public-private partnerships. Such collaboration will contribute to tackling youth unemployment, the region’s most pressing contemporary problem, as well as diversifying local economies. The research delves into the complexities and history of entrepreneurship in Jordan as one of the region’s pioneering nations, examining the …


Sustainable Small House Project, Mollie Jo George 2023 Updated - AIS

Sustainable Small House Project, Mollie Jo George

UNO Student Research and Creative Activity Fair

The Sustainable Small House Project was developed in cooperation with UNO/UNL Engineering, UNO Gerontology, and Metro Community College. This project merges both sustainable living with the small house movement to promote aging-in-place for older adults. This presentation describes the journey of Dr. Bing Chen as he envisioned the Sustainable Small House Project to its development and finally to implementation at its current location--west of Baxter Arena or adjacent to the UNO ballfield.

From a gerontological lens, the project focuses on principles of universal design which allows for aging-in-place, fall-detection and prevention using smart technologies such as Nobi, and voice-activated technologies …


Artificial Intelligence For Marketers And Communicators, Garrison Feldman 2023 Emerson College

Artificial Intelligence For Marketers And Communicators, Garrison Feldman

Emerson Authors, Researchers, & Creators

This presentation explores different technologies within the artificial intelligence space for use by marketers and communicators. Technologies discussed include ChatGPT, DeepAI, Otter.ai, SurferSEO, Jasper, and Synthesia. The focus of this presentation is to go over the different technologies at a high level, and discuss possible use cases for professional marketers and communicators.


Fraud Pattern Detection For Nft Markets, Andrew Leppla, Jorge Olmos, Jaideep Lamba 2023 Southern Methodist University

Fraud Pattern Detection For Nft Markets, Andrew Leppla, Jorge Olmos, Jaideep Lamba

SMU Data Science Review

Non-Fungible Tokens (NFTs) enable ownership and transfer of digital assets using blockchain technology. As a relatively new financial asset class, NFTs lack robust oversight and regulations. These conditions create an environment that is susceptible to fraudulent activity and market manipulation schemes. This study examines the buyer-seller network transactional data from some of the most popular NFT marketplaces (e.g., AtomicHub, OpenSea) to identify and predict fraudulent activity. To accomplish this goal multiple features such as price, volume, and network metrics were extracted from NFT transactional data. These were fed into a Multiple-Scale Convolutional Neural Network that predicts suspected fraudulent activity based …


Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn 2023 Southern Methodist University

Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn

SMU Data Science Review

Today, there is an increased risk to data privacy and information security due to cyberattacks that compromise data reliability and accessibility. New machine learning models are needed to detect and prevent these cyberattacks. One application of these models is cybersecurity threat detection and prevention systems that can create a baseline of a network's traffic patterns to detect anomalies without needing pre-labeled data; thus, enabling the identification of abnormal network events as threats. This research explored algorithms that can help automate anomaly detection on an enterprise network using Canadian Institute for Cybersecurity data. This study demonstrates that Neural Networks with Bayesian …


Analysis Of First-Time Completion In The Field Service Environment, Gavin Rick, Scott Englerth, Marc Carter, Hayley Horn 2023 Southern Methodist University

Analysis Of First-Time Completion In The Field Service Environment, Gavin Rick, Scott Englerth, Marc Carter, Hayley Horn

SMU Data Science Review

First-time completion is an important measure of service quality and efficiency in the field service industry. Customers call upon field service providers to repair their equipment in a timely manner so it can be put back into service for their business demands. Responsiveness can be measured through first-time completion and is defined as completing the repair on the first visit of a service call. This research is exploring the first-time completion in the forklift service industry. This research found the primary factors that impact first-time completion percentage in this industry include parts on hand, parts backorder process, technician experience, and …


From Strategic Emerging Industries To Future Industries: New Directions, New Problems And New Ideas, Jiaofeng PAN, Xiaoming WANG, Junbo XUE, Hua SHEN 2023 Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China

From Strategic Emerging Industries To Future Industries: New Directions, New Problems And New Ideas, Jiaofeng Pan, Xiaoming Wang, Junbo Xue, Hua Shen

Bulletin of Chinese Academy of Sciences (Chinese Version)

The development from strategic emerging industries to future industries reflects the development trend of global science and technology frontier, and it is more a new need to build a new engine for industrial upgrading and build a new development pattern in China. In the process of gradual development and breeding of future industries, strategic emerging industries continue to open up new directions and expand new fields, while they also bring new problems and new requirements for original innovation, factor market and industrial ecology. Focusing on these new requirements and problems, this study puts forward policy recommendations, namely enhancing the original …


Railroads And First Responders: A Gis Link, Jeremy Kramer 2023 Louisville & Indiana Railroad

Railroads And First Responders: A Gis Link, Jeremy Kramer

Purdue Road School

The Louisville & Indiana Railroad (L&I) was awarded a $300,000 Consolidated Rail and Safety Improvements Program (CRISI) Grant to develop a geographic information mobile application linking L&I dispatch and first responders to aid communication and response during railroad incidents. This is an important development in promoting safety at rail-highway intersections.


Open Textbook For Art 27, Nate Cooper 2023 Kingsborough Community College

Open Textbook For Art 27, Nate Cooper

Open Educational Resources

Work in Progress - In the Spring of 2023, I will endeavor to work collaboratively with students to develop an open textbook for the Art 26: UX Visual Design course. As this class has only been offered once in the past and in general the UX courses are new at Kingsborough there isn't an obvious single authority on the subject. As a practitioner in the field professionally, I grow concerned that even if a solid text could be found in print that industry changes happen so frequently that the only helpful authority will need to be a dynamic work. Hence, …


How To Not Save The World From Covid-19: The Dire Consequences Of Giving Away The Vaccine Formula [Poster], Tristen Prouse 2023 University of Northern Iowa

How To Not Save The World From Covid-19: The Dire Consequences Of Giving Away The Vaccine Formula [Poster], Tristen Prouse

Research in the Capitol

The debate over giving away the COVID-19 vaccine formula is a political hot topic. Violating intellectual property law (patents) to give away the vaccine is a tempting option for aiding other countries in the current global health crisis. In actuality, many problems exist with this proposed solution, including violating intellectual property law, disincentivizing innovation, undermining confidence in vaccine safety, harming America’s geopolitical objectives, and inefficiencies. The United States can and should aid the world in obtaining vaccines, but it should not do so by waiving patent law and giving away the vaccine formulas.


Transportation Managers’ Perceptions Of The Diffusion Of Innovation Within Logistics Clusters, Stephen McDonald Puryear 2023 University of Southern Mississippi

Transportation Managers’ Perceptions Of The Diffusion Of Innovation Within Logistics Clusters, Stephen Mcdonald Puryear

Dissertations

The human capital capacity for innovation is crucial for business success. Cluster theory posits that this capacity for innovation is enhanced by industrial clustering geographic proximity. The innovative capacity is expected to be facilitated by institutions for collaboration, informal knowledge flow, short feedback loops, and collective action regimes. Research on logistics clustering has supported this supposition. Still, no research has explicitly examined whether being physically located in a logistics cluster enhances a company’s human capital capacity for innovation.

This study uses the Interpretive Phenomenological Analysis (IPA) approach to determine the innovative operational processes involved in the diffusion of innovation within …


Industry 4.0 Applications Towards Sustainability In Hospitality: First Waves In The Guest Room, Sanjay Nadkarni, Florian Kriechbaumer, Natasa Christodoulidou, Marcus A. Rothenberger 2023 Emirates Academy of Hospitality ManagementEmirates Academy

Industry 4.0 Applications Towards Sustainability In Hospitality: First Waves In The Guest Room, Sanjay Nadkarni, Florian Kriechbaumer, Natasa Christodoulidou, Marcus A. Rothenberger

Journal of Global Business Insights

Digitalization is positioned as an important element for the future of hospitality related services, especially since the onset of the COVID-19 pandemic (Gursoy & Chi, 2020; Shin & Kang, 2020). Historically, digitalization focused on amplifying returns by increasing revenue and operational efficiency. The hospitality industry utilizes resources intensely to function well; and when used properly, technological improvements can optimize the development of a sustainable business model. This manuscript explores the role of recent innovations in digitalization, such as Big Data, the Internet of Things (IoT), and artificial intelligence (AI) in enabling environmental sustainability in hotels. These innovations become transparent …


Creating The Capacity For Digital Government, Cheow Hoe CHAN, Steven M. MILLER 2023 Singapore Management University

Creating The Capacity For Digital Government, Cheow Hoe Chan, Steven M. Miller

Asian Management Insights

This article explains how a well-thought-out data policy, supported by a tech stack and cloud infrastructure, an agile way of working, and coordinated whole-of-government leadership, are fundamental to successful government digital transformation efforts, as exemplified by the Singapore government’s digital journey. As part of explaining how to create the capacity for digital government, the main sections of this article cover:

  • The origins of GovTech
  • How thinking big, starting small and acting fast is a practical strategy for organisational learning
  • The importance of horizontal platforms and other enablers of a horizontal approach
  • Data architecture and policy
  • “Shifting left” with internal technology …


Steering Steadily In The Post-Pandemic World, Chartsiri SOPHOPANICH, Chin Tiong TAN 2023 Singapore Management University

Steering Steadily In The Post-Pandemic World, Chartsiri Sophopanich, Chin Tiong Tan

Asian Management Insights

Chartsiri Sophonpanich, President of Bangkok Bank, speaks with Tan Chin Tiong about the future of banking in Thailand and the region as the world slowly emerges from the COVID-19 pandemic.


Attention-Based Data Analytic Models For Traffic Flow Predictions, Kaushal Kumar, Yupeng Wei 2023 San Jose State University

Attention-Based Data Analytic Models For Traffic Flow Predictions, Kaushal Kumar, Yupeng Wei

Mineta Transportation Institute

Traffic congestion causes Americans to lose millions of hours and dollars each year. In fact, 1.9 billion gallons of fuel are wasted each year due to traffic congestion, and each hour stuck in traffic costs about $21 in wasted time and fuel. The traffic congestion can be caused by various factors, such as bottlenecks, traffic incidents, bad weather, work zones, poor traffic signal timing, and special events. One key step to addressing traffic congestion and identifying its root cause is an accurate prediction of traffic flow. Accurate traffic flow prediction is also important for the successful deployment of smart transportation …


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