Business Commons^™

Detecting Incentivized Review Groups With Co-Review Graph, Yubao Zhang, Shuai Hao, Haining Wang

Computer Science Faculty Publications

Online reviews play a crucial role in the ecosystem of nowadays business (especially e-commerce platforms), and have become the primary source of consumer opinions. To manipulate consumers’ opinions, some sellers of e-commerce platforms outsource opinion spamming with incentives (e.g., free products) in exchange for incentivized reviews. As incentives, by nature, are likely to drive more biased reviews or even fake reviews. Despite e-commerce platforms such as Amazon have taken initiatives to squash the incentivized review practice, sellers turn to various social networking platforms (e.g., Facebook) to outsource the incentivized reviews. The aggregation of sellers who …

An Empirical Study On Innovation Ecosystem, Technological Trajectory Transition, And Innovation Performance, Yu Sun, Ling Li, Yong Chen, Mikhail Yu Kataev

Information Technology & Decision Sciences Faculty Publications

This paper explores technological trajectory transition in the perspective of innovation ecosystem and their effect on innovation performance of latecomers in market. A structural equation model is developed and tested with data collected from 366 firms in China. In specific, this paper categories technological trajectory transition creative accumulative technological trajectory transition (CCT) and creative disruptive technological trajectory transition (CDT). The results indicate that firms' organizational learning ability positively affect their technological trajectory transition and innovation performance. Firms' network relationship strength negatively affects their technological trajectory transition and positively affect their innovation performance. Governments' environmental concerns positively affect firms' technological trajectory …

Stock Trend Prediction Using Candlestick Charting And Ensemble Machine Learning Techniques With A Novelty Feature Engineering Scheme, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu

Information Technology & Decision Sciences Faculty Publications

Stock market forecasting is a knotty challenging task due to the highly noisy, nonparametric, complex and chaotic nature of the stock price time series. With a simple eight-trigram feature engineering scheme of the inter-day candlestick patterns, we construct a novel ensemble machine learning framework for daily stock pattern prediction, combining traditional candlestick charting with the latest artificial intelligence methods. Several machine learning techniques, including deep learning methods, are applied to stock data to predict the direction of the closing price. This framework can give a suitable machine learning prediction method for each pattern based on the trained results. The investment …

Inventions Of Scientists, Engineers And Specialists From Different Countries In The Area Of Nanotechnologies. Part Iv, Leonid A. Ivanov, Li Da Xu, Zhanna V. Pisarenko, Cahn T. Nguyen, Svetlana R. Muminova

Information Technology & Decision Sciences Faculty Publications

Introduction. Advanced technologies impress people's imagination demonstrating the latest achievements (materials, methods, systems, technologies, devices etc.) that dramatically change the world. This, first of all, concerns nanotechnological inventions designed by scientists, engineers and specialists from different countries. Main part. The paper briefly reviews inventions made by scientists, engineers and specialists from different countries: Russia, USA, China, Belarus, Great Britain, Vietnam, Denmark, the Kyrgyz Republic. The application of the results of scientists', engineers' and specialists' investigations, including inventions in the area of nanotechnology and nanomaterials allow achieving significant efficiency in construction, house and communal service, related sectors of economy. For example, …

The Impact Of Unequal Processing Time Variability On Reliable And Unreliable Merging Line Performance, Rodrigo Romero-Silva, Sabry Shaaban, Erika Marsillac, Zouhair Laaarraf

Information Technology & Decision Sciences Faculty Publications

Research on merging lines is expanding as their use grows significantly in the contexts of remanufacturing, reverse logistics and developing economies. This article is the first to study the behavior of unpaced, reliable, and unreliable merging assembly lines that are deliberately unbalanced with respect to their coefficients of variation (CV). Conducting a series of simulation runs with varying line lengths, buffer storage capacities and unbalanced CV patterns delivers intriguing results. For both reliable and unreliable lines, the best pattern for generating higher throughput is found to be a balanced configuration (equal CVs along both parallel lines), except for unreliable lines …

Are Entrepreneurial Capabilities And Prior Knowledge The Silver Bullet For The Generation Of New Digital Venture Ideas In A Digital Context?, Meifang Yao, Dan Ye, Gao Yang, Hui Shi, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

Digital technology has had an important impact on entrepreneurship. It has changed the uncertain nature of the process of new venture idea generation, and it has also brought unprecedented opportunities for the generation of new digital venture ideas. In order to explore how startups can deal with major challenges brought by digital technology and create new digital venture ideas, this paper focuses on micro level entrepreneurial actions and constructs a theoretical model of the relationship among networking capabilities, IT capabilities, prior knowledge, and new digital venture ideas. Furthermore, through the hierarchical linear regression analysis of 278 sample data, the paper …

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 …

Technological Innovation Research: A Structural Equation Modelling Approach, Yu Sun, Zhaoyuan Yu, Ling Li, Yong Chen, Mikhail Yu Kataev, Haiqing Yu, Hecheng Wang

Information Technology & Decision Sciences Faculty Publications

The paper explores the relationship among technological innovation, technological trajectory transition, and firms’ innovation performance. Technological innovation is studied from the perspectives of innovation novelty and innovation openness. Technological trajectory transition is categorized into creative cumulative technological trajectory transition and creative disruptive technological trajectory transition. A structural equation model is developed and tested with data collected by surveying 366 Chinese firms. The results indicate that both innovation novelty and innovation openness positively affects creative cumulative technological trajectory transition as well as creative disruptive technological trajectory transition. Innovation openness and creative disruptive technological trajectory transition both positively affect firms’ innovation performance. …

Generic Design Methodology For Smart Manufacturing Systems From A Practical Perspective, Part I—Digital Triad Concept And Its Application As A System Reference Model, Zhuming Bi, Wen-Jun Zhang, Chong Wu, Chaomin Luo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

Rapidly developed information technologies (IT) have continuously empowered manufacturing systems and accelerated the evolution of manufacturing system paradigms, and smart manufacturing (SM) has become one of the most promising paradigms. The study of SM has attracted a great deal of attention for researchers in academia and practitioners in industry. However, an obvious fact is that people with different backgrounds have different expectations for SM, and this has led to high diversity, ambiguity, and inconsistency in terms of definitions, reference models, performance matrices, and system design methodologies. It has been found that the state of the art SM research is limited …

Generic Design Methodology For Smart Manufacturing Systems From A Practical Perspective. Part Ii—Systematic Designs Of Smart Manufacturing Systems, Zhuming Bi, Wen-Jun Zhang, Chong Wu, Chaomin Luo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

In a traditional system paradigm, an enterprise reference model provides the guide for practitioners to select manufacturing elements, configure elements into a manufacturing system, and model system options for evaluation and comparison of system solutions against given performance metrics. However, a smart manufacturing system aims to reconfigure different systems in achieving high-level smartness in its system lifecycle; moreover, each smart system is customized in terms of the constraints of manufacturing resources and the prioritized performance metrics to achieve system smartness. Few works were found on the development of systematic methodologies for the design of smart manufacturing systems. The novel contributions …

Inventions Of Scientists, Engineers And Specialists From Different Countries In The Area Of Nanotechnologies. Part Vi, Leonid A. Ivanov, Li D. Xu, Konstantin E. Razumeev, Zhanna V. Pisarenko, Aleksey V. Demenev

Information Technology & Decision Sciences Faculty Publications

Introduction. Advanced technologies impress people's imagination demonstrating the latest achievements (materials, methods, systems, technologies, devices etc.) that dramatically change the world. This, first of all, concerns nanotechnological inventions designed by scientists, engineers and specialists from different countries. Main part. The article provides an abstract overview of inventions of scientists, engineers and specialists from different countries: Russia, USA, China, Kazakhstan, Sweden. The results of the creative activity of scientists, engineers and specialists, including inventions in the field of nanotechnology and nanomaterials allow, when introduced to industry, achieving a significant effect in construction, housing and communal services, and related sectors of the …

Ranking Influential Nodes Of Fake News Spreading On Mobile Social Networks, Yunfei Xing, Xiwei Wang, Fang-Kwei Wang, Yang Shi, Wu He, Haowu Chang

Information Technology & Decision Sciences Faculty Publications

Online fake news can generate a negative impact on both users and society. Due to the concerns with spread of fake news and misinformation, assessing the network influence of online users has become an important issue. This study quantifies the influence of nodes by proposing an algorithm based on information entropy theory. Dynamic process of influence of nodes is characterized on mobile social networks (MSNs). Weibo (i.e., the Chinese version of microblogging) users are chosen to build the real network and quantified influence of them is analyzed according to the model proposed in this paper. MATLAB is employed to simulate …

Inventions Of Scientists, Engineers And Specialists From Different Countries In The Area Of Nanotechnologies. Part Ii, Leonid A. Ivanov, Li Da Xu, Zhanna V. Pisarenko, Qiang Wang, Petr S. Prokopiev

Information Technology & Decision Sciences Faculty Publications

The article provides an abstract review of patents. The results of creative activity of scientists, engineers and specialists, including inventions in the field of nanotechnology and nanomaterials, being implemented, allow achieving a significant effect in construction, housing and community services, and related sectors of the economy. For example, the invention «Method for liquidphase synthesis of nanostructured ceramic material in the CeO2–Sm2O3 system to create a solid oxide fuel cell» can contribute to the active development of alternative, hydrogen energy. Fuel cells have a wide range of applications – from batteries in portable electronic devices to large-scale power generation and autonomous …

Improving Stock Trading Decisions Based On Pattern Recognition Using Machine Learning Technology, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu, Bingbing Jiang

Information Technology & Decision Sciences Faculty Publications

PRML, a novel candlestick pattern recognition model using machine learning methods, is proposed to improve stock trading decisions. Four popular machine learning methods and 11 different features types are applied to all possible combinations of daily patterns to start the pattern recognition schedule. Different time windows from one to ten days are used to detect the prediction effect at different periods. An investment strategy is constructed according to the identified candlestick patterns and suitable time window. We deploy PRML for the forecast of all Chinese market stocks from Jan 1, 2000 until Oct 30, 2020. Among them, the data from …

Leverage Psychological Factors Associated With Lapses In Cybersecurity In Organizational Management, Chad Holm

Cybersecurity Undergraduate Research Showcase

With computers being a standard part of life now with the evolution of the internet, many aspects of our lives have changed, and new ways of thinking must come. One of the biggest challenges in most cyber security problems is not related to the software or the hardware; it is the people that are using the computers to access the data and communicate with others, where the hackers could simply find a weak entry point that naturally exists and a weak link caused by human hands. The human factor as an “insider threat” will affect unauthorized access, credentials stealing, and …

Efficient Algorithms For Identifying Loop Formation And Computing Θ Value For Solving Minimum Cost Flow Network Problems, Timothy Michael Chávez, Duc Thai Nguyen

Computational Modeling & Simulation Engineering Faculty Publications

While the minimum cost flow (MCF) problems have been well documented in many publications, due to its broad applications, little or no effort have been devoted to explaining the algorithms for identifying loop formation and computing the value needed to solve MCF network problems. This paper proposes efficient algorithms, and MATLAB computer implementation, for solving MCF problems. Several academic and real-life network problems have been solved to validate the proposed algorithms; the numerical results obtained by the developed MCF code have been compared and matched with the built-in MATLAB function Linprog() (Simplex algorithm) for further validation.

Innovation Capacity: A Firm Level Response To Subsidy Activity In A National Setting, Assyad Al-Wreiket, Royce D. Burnett, Christopher J. Skousen, Ouadie Akaaboune

Accounting Faculty Publications

The purpose of this paper is to investigate the effect subsidies have on firm-level innovation across Eastern European and Central Asian countries and to assess if these effects move to increase firm-level capability. Specifically, we investigate the extent subsidy programs act to shape and guide firm-level innovative capabilities and how the presence of such capabilities affect operational performance. We employ a Probit model to investigate firm-level innovation and OLS regression to assess how subsidies, in association with the decision to adopt foreign technology and in-house research and development (R&D) affect firm productive capacity. Results suggest subsidies promote innovation and that …

A Qualitative Exploration Of Ticket-Pricing Decisions In Intercollegiate Athletics, Craig A. Morehead, Stephen L. Shapiro, Lamar Reams, Chad Mcevoy, Timothy M. Madden

Human Movement Sciences & Special Education Faculty Publications

Ticket sales represent a significant revenue stream for NCAA Football Bowl Subdivision athletic departments, yet little is known about how administrators determine prices for those tickets. Utilizing strategic planning as the primary framework and supplemented by stakeholder theory, this study examines ticket-pricing decisions from the viewpoint of athletic administrators with various departmental responsibilities to better understand the role of ticket pricing in intercollegiate sport. Twenty athletic administrators, representing two Power 5 and two Group of 5 institutions, were interviewed about their experiences with ticket pricing. In addition to common pricing objectives related to revenue, patronage, and operations, administrators also suggested …

Blockchain For A Resilient, Efficient, And Effective Supply Chain, Evidence From Cases, Adrian Gheorghe, Farinaz Sabz Ali Pour, Unal Tatar, Omer Faruk Keskin

Engineering Management & Systems Engineering Faculty Publications

In the modern acquisition, it is unrealistic to consider single entities as producing and delivering a product independently. Acquisitions usually take place through supply networks. Resiliency, efficiency, and effectiveness of supply networks directly contribute to the acquisition system's resiliency, efficiency, and effectiveness. All the involved firms form a part of a supply network essential to producing the product or service. The decision-makers have to look for new methodologies for supply chain management. Blockchain technology introduces new methods of decentralization and delegation of services, which can transform supply chains and result in a more resilient, efficient, and effective supply chain. This …

Sentiment-Scaled Capm And Market Mispricing, John A. Doukas, Xiao Han

Finance Faculty Publications

This study explores the conditional version of the capital asset pricing model on sentiment to provide a behavioural intuition behind the value premium and market mispricing. We find betas (β) and the market risk premium to vary over time across different sentiment indices and portfolios. More importantly, the state β derived from this sentiment-scaled model provides a behavioural explanation of the value premium and a set of anomalies driven by mispricing. Different from the static β-return relation that gives a flat security market line, we document upward security market lines when plotting portfolio returns against their state βs and portfolios …

Hacking The Pandemic: Launching Third Space Into Cyberspace, Brittany Bowser

STEMPS Faculty Publications

The article discusses importance of the school library as a third space for learning. Topics discussed include need for school library's third space to expand into cyberspace; focus to promote awareness of school librarianship; and need for school librarians to prioritize marketing themselves and their instruction.

Personal Goal Setting Behavior And Professional Outlooks Of Academic Library Employees, Leo Lo, Amelia Anderson

STEMPS Faculty Publications

Studies indicate correlations between personal goal-setting behaviors, performance and attitude in professional roles. An online study was developed and conducted in 2016 with academic library employees to better understand the goal-setting behavior of library employees in a particular context, via setting New Year’s resolutions, which is defined as "a decision to do something or to behave in a certain manner". Results show that nearly half (49.6 percent) of all respondents set New Year’s resolutions in 2016. Goals related to health and fitness topped the list of goals that were set, followed by occupational goals. Of those who felt unclear about …

Business Analysis And Future Development Of An Electric Vehicle Company -- Tesla, Xuan Shao, Qin Wang, Haoyi Yang

Psychology Faculty Publications

The boom in electric vehicles in recent years has caught the attention of many companies that are investing or will be investing in the industry due to the increasing demand for electric cars. Tesla as a leader of the electric vehicles (EVs) industry, its development is of vital significance for referential value. Previous research on electric vehicle acceptance and behavioral intention of purchase is comprehensive, which could enable the EVs industry to understand consumer psychology. However, there is little analysis of the business strategy and future development of specific companies. When it comes to sustainability, almost every company has a …

Inventions Of Scientists, Engineers And Specialists From Different Countries In The Area Of Nanotechnologies. Part I, Leonid A. Ivanov, Li Da Xu, Elena Bokova, Aleksandr D. Ishkov, Svetlana Muminova

Information Technology & Decision Sciences Faculty Publications

The article provides an abstract review of patents. The results of creative activity of scientists, engineers and specialists, including inventions in the field of nanotechnology and nanomaterials, being implemented, allow achieving a significant effect in construction, housing and community services, and related sectors of the economy. For example, the invention (A method to produce graphene-containing suspensions by means of graphite exfoliation and a device to perform it) refers to chemical and construction industries and can be used in modification of plastic lubricant, epoxy resins and concretes. The technical task of the invention is to increase efficiency of graphite exfoliation, to …

Editorial: Leveraging Emerging Technology To Fight The Covid-19 Pandemic, Ling Li

Information Technology & Decision Sciences Faculty Publications

No abstract provided.

Inventions Of Scientists, Engineers And Specialists From Different Countries In The Area Of Nanotechnologies. Part Iii, L. A. Ivanov, L. D. Xu, E. S. Bokova, A. V. Demenev, V. A. Ivanov

Information Technology & Decision Sciences Faculty Publications

Introduction. Advanced technologies impress people’s imagination demonstrating the latest achievements (materials, methods, systems, technologies, devices etc.) that dramatically change the world. This, first of all, concerns nanotechnological inventions designed by scientists, engineers and specialists from different countries.

Main part. The article provides an abstract review of patents. The results of creative activity of scientists, engineers and specialists, including inventions in the field of nanotechnology and nanomaterials, being implemented, allow achieving a significant effect in construction, housing and community services, and related sectors of the economy. For example, the invention «Composite material with oriented carbon nanotubes» refers to the area of …

Image Source Identification Using Convolutional Neural Networks In Iot Environment, Yan Wang, Qindong Sun, Dongzhu Rong, Shancang Li, Li Da Xu

Information Technology & Decision Sciences Faculty Publications

Digital image forensics is a key branch of digital forensics that based on forensic analysis of image authenticity and image content. The advances in new techniques, such as smart devices, Internet of Things (IoT), artificial images, and social networks, make forensic image analysis play an increasing role in a wide range of criminal case investigation. This work focuses on image source identification by analysing both the fingerprints of digital devices and images in IoT environment. A new convolutional neural network (CNN) method is proposed to identify the source devices that token an image in social IoT environment. The experimental results …

Inventions Of Scientists, Engineers And Specialists From Different Countries In The Area Of Nanotechnologies. Part V, Leonid A. Ivanov, Li D. Xu, Konstantin E. Razumeev, Valentina M. Feoktistova, Petr S. Prokopiev

Information Technology & Decision Sciences Faculty Publications

Introduction. Advanced technologies impress people's imagination demonstrating the latest achievements (materials, methods, systems, technologies, devices etc.) that dramatically change the world. This, first of all, concerns nanotechnological inventions designed by scientists, engineers and specialists from different countries. Main part. The article provides an abstract overview of inventions of scientists, engineers and specialists from different countries: Russia, USA, China, Belarus, Italy. The results of the creative activity of scientists, engineers and specialists, including inventions in the field of nanotechnology and nanomaterials allow, when introduced to industry, achieving a significant effect in construction, housing and communal services, and related sectors of the …

A Review On Covid-19 Related Research In Leading Information Systems Journals, Yuming He, Wenzhuo Li, Xin Tian, Yunfei Xing

Information Technology & Decision Sciences Faculty Publications

To identify the key challenges, issues and opportunities affecting individuals, organizations, and society on coping with COVID-19, we reviewed extant research related to the COVID-19 pandemic in the leading information systems journals. Six major research themes and representative literature for each theme are identified by content analysis. The six major research themes include digital transformation, data visualization and artificial intelligence, infodemic and cybersecurity, IT governance, digital divide, and IS research direction in the post-pandemic period. Moreover, we discussed the challenges, current research, and opportunities related to each of the themes. The review provides a snapshot of IS literature on the …

Using Pair Programming As A Collaborative Learning Approach To Support Students With Learning Disabilities Via Zoom Breakout Rooms, Ling Li, Li Da Xu, Yuming He, Wu He, Silvana M.R. Watson, Shana Pribesh, Debra A. Major, Elizabeth Langran (Ed.), Leanna Archambault (Ed.)

Information Technology & Decision Sciences Faculty Publications

Peer learning through pair programming is a type of collaborative learning that involves students working in pairs to discuss computer programming concepts or develop codes to solve problems. The Zoom breakout room method is applied to teach pair programming in a virtual classroom during the COVID-19 environment. By facilitating pair programming in a virtual learning environment, we gained valuable experience in promoting collaborative learning, active learning, and problem-based learning activities in a cloud setting.