Technology and Innovation Commons^™

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 …

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

Information Technology & Decision Sciences Faculty Publications

No abstract provided.

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 …

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. …

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 …

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 …

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, …

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 …

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 …

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 …

Fixed Costs And The Division Of Labor, Haiwen Zhou

Economics Faculty Publications

How market size and the level of coordination costs determine the degree of specialization is studied in an infinite horizon model with the amount of capital determined endogenously. Firms producing the same intermediate good engage in oligopolistic competition and choose the degree of specialization of their technologies to maximize profits. A more specialized technology is a technology with a lower marginal cost, but a higher fixed cost. Interestingly, the relationship between the level of coordination costs and a firm’s degree of specialization is ambiguous. A firm in a country with a larger market size, more patient citizens, or a higher …

Exploring The Formation Mechanism Of Radical Technological Innovation: An Mlp Approach, Yun Sun, Hecheng Wang, Haiqing Yu, Yong Chen, Mikhail Yu Kataev, Ling Li

Information Technology & Decision Sciences Faculty Publications

This paper identifies three stages in the radical technological innovation process, namely formation process in niches, breaking out of niches and entering regimes, and new regime formation. It then adopts Multi-level Perspective (MLP) to explore the formation process, operating mechanism, breakthrough path, and impact factors of radical technological innovation. A three-phase model, which includes formation of radical innovation, breakout of radical innovation, and new regimes construction, is proposed to analyze radical technological innovation. The model is adopted in a case study to analyze the leapfrogging development of technologies in China’s mobile communication industry. This paper enriches technological innovation theory and …

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 …

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 …

Understanding The Nature Of Non-Profit Incubators With Other Sector Incubators In The Founding Of Social Change Organisations By Social Entrepreneurs, Jesus N. Valero, Marina Saitgalina, Rachel A. Black

School of Public Service Faculty Publications

Incubators have been studied extensively in the private sector, such as those that engage in technological innovation or growing small businesses. The scholarship has not sufficiently explored the efforts of incubators in the nonprofit sector that help create programs supporting, mentoring, and cultivating social entrepreneurs. There are numerous documented cases of nonprofit organizations establishing initiatives that help motivated entrepreneurs achieve social change; but research is lagging in developing a systematic understanding of these effort’s impact, and the factors associated with the success of nonprofit initiatives that support social entrepreneurs. This paper seeks to understand the nature of nonprofit organizations that …

Hidden Markov Model And Cyber Deception For The Prevention Of Adversarial Lateral Movement, Md Ali Reza Al Amin, Sachin Shetty, Laurent Njilla, Deepak K. Tosh, Charles Kamhoua

Computational Modeling & Simulation Engineering Faculty Publications

Advanced persistent threats (APTs) have emerged as multi-stage attacks that have targeted nation-states and their associated entities, including private and corporate sectors. Cyber deception has emerged as a defense approach to secure our cyber infrastructure from APTs. Practical deployment of cyber deception relies on defenders' ability to place decoy nodes along the APT path optimally. This paper presents a cyber deception approach focused on predicting the most likely sequence of attack paths and deploying decoy nodes along the predicted path. Our proposed approach combines reactive (graph analysis) and proactive (cyber deception technology) defense to thwart the adversaries' lateral movement. The …

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 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 …

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 …

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 …

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.

Exploring And Visualizing Spatial Effects And Patterns In Ride-Sourcing Trip Demand And Characteristics, Bishoy Kelleny, Sherif Ishak

Civil & Environmental Engineering Faculty Publications

The complex demand pattern of ride-sourcing remains to be a challenge to transportation modeling practitioners due to the infancy and the inherently dynamic nature of the ride-sourcing system. Spatial effects exploration and analysis protocols can provide informative insights on the underlying structure of demand and trip characteristics. Those protocols can be thought of as an opportunistic strategy to alleviate the complexity and help specifying the appropriate econometric models for the system. Spatial effects exploration is comparable to point pattern analysis, in which, signals from spatial entities, like census tracts, can be analyzed statistically to reveal whether a specific phenomenon respective …

Virginia Digital Shipbuilding Program (Vdsp): Building An Agile Modern Workforce To Improve Performance In The Shipbuilding And Ship Repair Industry, Joseph Peter Kosteczko, Katherine Smith, Jessica Johnson, Rafael Diaz

VMASC Publications

Industry 4.0 is the latest stage in the Industrial Revolution and is reflected in the digital transformation and use of emergent technologies including the Internet of Things, Big Data, Robotic automation of processes, 3D printing and additive manufacturing, drones and Artificial Intelligence (AI) in the manufacturing industry. The implementation of these technologies in the Shipbuilding and Ship Repair Industry is currently in a nascent stage. Considering this, there is huge potential to increase cost savings, decrease production timelines, and drive down inefficiencies in Lifecyle management of ships. However, the implementation of these Industry 4.0 technologies is hindered by a noticeable …

Pricing The Cloud: An Auction Approach, Yang Lu

Theses and Dissertations in Business Administration

Cloud computing has changed the processing and service modes of information communication technology and has affected the transformation, upgrading and innovation of the IT-related industry systems. The rapid development of cloud computing in business practice has spawned a whole new field of interdisciplinary, providing opportunities and challenges for business management research.

One of the critical factors impacting cloud computing is how to price cloud services. An appropriate pricing strategy has important practical means to stakeholders, especially to providers and customers. This study addressed and discussed research findings on cloud computing pricing strategies, such as fixed pricing, bidding pricing, and dynamic …

Effect Of User Involvement In Supply Chain Cloud Innovation: A Game Theoretical Model And Analysis, Yun Chen, Lian Duan, Weiyong Zhang

Information Technology & Decision Sciences Faculty Publications

Cloud innovation has become increasingly important to supply chain innovation and performance. User involvement is a crucial part of cloud innovation. However, the effect of user involvement in supply chain cloud innovation has not been thoroughly studied, particularly its effect on product cost and optimal price. In this paper, the authors attempted to bridge this major gap in the literature. The authors reviewed the relevant literature to define cloud innovation and user involvement in supply chain cloud innovation. Then the authors developed a game model based on the Bertrand model. Analysis of the model showed that user involvement affects product …

Multilevel Reorder Strategy-Based Supply Chain Model, Hesamoddin Tahami, Hengameh Fakhravar

Engineering Management & Systems Engineering Faculty Publications

We investigate the stochastic integrated inventory model wherein the buyer's lead time demand follows the mixture of normal distributions. Due to the high acquisition cost of land, we assume that buyer's maximum permissible storage space is limited and therefore adds a space constraint to the respective inventory system. Besides, it is assumed that the manufacturing process is imperfect and produces defective units, and hence each lot received by the buyer contains percentage defectives. The paper also considers controllable lead time components and ordering cost for the system. Based on lead-time components, a multilevel reorder strategy-based supply chain model is developed …

Smart Communities: From Sensors To Internet Of Things And To A Marketplace Of Services, Stephan Olariu, Nirwan Ansari (Editor), Andreas Ahrens (Editor), Cesar Benavente-Preces (Editor)

Computer Science Faculty Publications

Our paper was inspired by the recent Society 5.0 initiative of the Japanese Government that seeks to create a sustainable human-centric society by putting to work recent advances in technology: sensor networks, edge computing, IoT ecosystems, AI, Big Data, robotics, to name just a few. The main contribution of this work is a vision of how these technological advances can contribute, directly or indirectly, to making Society 5.0 reality. For this purpose we build on a recently-proposed concept of Marketplace of Services that, in our view, will turn out to be one of the cornerstones of Society 5.0. Instead of …

A Review Of Problem Structuring Methods For Consideration In Prognostics And Smart Manufacturing, Patrick T. Hester, Andrew J. Collins, Barry Ezell, John Horst

Engineering Management & Systems Engineering Faculty Publications

Successful use of prognostics involves the prediction of future system behaviors in an effort to maintain system availability and reduce the cost of maintenance and repairs. Recent work by the National Institute of Standards and Technology indicates that the field of prognostics and health management is vital for remaining competitive in today’s manufacturing environment. While prognostics-based maintenance involves many traditional operations research-centric challenges for successful deployment such as limited availability of information and concerns regarding computational efficiency, the authors argue in this paper that the field of prognostics and health management, still in its embryonic development stage, could benefit greatly …

Participatory Mapping, E-Participation, And E-Governance: Applications In Environmental Policy, Pragati Rawat, Juita-Elena (Wie) Yusuf

School of Public Service Faculty Publications

This chapter focuses on participatory mapping as an e-governance tool to facilitate public participation. Public participation is a key component of democratic governance, and there is a growing reliance on digital government tools such as the internet and social networking sites and geographic information systems (GIS). This chapter focuses on public engagement using information and communication technology, namely participatory mapping, known by a variety of terms such as participatory GIS (PGIS), public participation GIS (PPGIS), and voluntary GIS. While the analysis involves use of participatory mapping related to environmental issues, the chapter brings together seminal work from various fields of …

Success Factors Impacting Artificial Intelligence Adoption --- Perspective From The Telecom Industry In China, Hong Chen

Theses and Dissertations in Business Administration

As the core driving force of the new round of informatization development and the industrial revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and comprehensively infiltrating into various fields of human activities. Although technologies and applications of AI have been widely studied, and factors that affect AI adoption are identified in existing literature, the impact of success factors on AI adoption remains unknown. Accordingly, the main study of this paper proposes a framework to explore the effects of success factors on AI adoption by integrating the technology, organization, and environment (TOE) framework and diffusion of innovation (DOI) theory. …