Digital Commons Network^™

Investors' Reactions To Alliance-Engendered Acquisition Ambiguity: Evidence From Us Technology Deals, Panos Desyllas, Martin C. Goossen, Corey C. Phelps

Management Faculty Publications

We study how, when target firms are engaged in strategic alliances, the ambiguity surrounding an acquisition's anticipated synergies influences investors' reactions to announcements of acquisitions. Drawing on behavioural finance research and the resource redeployment literature, we predict that investors' limited access to the information encoded in the target firms' alliances and the uncertainty around the re-deployability of their embedded resources generate a negative relationship between the number of target alliances and investors' reactions. We also hypothesize that this negative effect is exacerbated when the alliances involve foreign alliance partners but is attenuated when acquirers are experienced in acquiring targets with …

Energy Efficiency In Additive Manufacturing: Condensed Review, Ismail Fidan, Vivekanand Naikwadi, Suhas Alkunte, Roshan Mishra, Khalid Tantawi

Engineering Technology Faculty Publications

Today, it is significant that the use of additive manufacturing (AM) has growing in almost every aspect of the daily life. A high number of sectors are adapting and implementing this revolutionary production technology in their domain to increase production volumes, reduce the cost of production, fabricate light weight and complex parts in a short period of time, and respond to the manufacturing needs of customers. It is clear that the AM technologies consume energy to complete the production tasks of each part. Therefore, it is imperative to know the impact of energy efficiency in order to economically and properly …

Quantification Of Landside Congestion In Ports: An Analysis Based On Gps Data, Kumushini Thennakoon, Namal Bandaranayake, Senevi Kiridena, Asela K. Kulatunga

Computer Science Faculty Publications

Hinterland transport is a critical segment in maritime cross-border logistics, which links the end-users of global supply chains to the maritime segment. Truck-based hinterland transport is known to cause congestion in and around ports. This study aimed to quantify the congestion caused by trucks at the Port of Colombo, which has not been a subject of a systematic study. To this end, the study makes use of GPS data. In addition to revealing heavy congestion within the port, the study also reveals significant variations in congestion during different times of the day with the duration of journeys peaking from 1200hrs …

The Electric Vehicle Supply Chain Ecosystem: Changing Roles Of Automotive Suppliers, Sandeep Jagani, Erika Marsillac, Paul Hong

Information Technology & Decision Sciences Faculty Publications

The automotive industry is evolving due to the increasing adoption of Electric Vehicles (EVs). This transition has impacted automotive vehicles and led to profound changes in the supply chain ecosystem. Through a comprehensive review of the available literature and industry reports, this research investigates the automotive industry’s transition towards EVs and subsequent supply chain transformation, focusing on the changing roles of automotive suppliers. In this paper, we assess these transformations from economic, environmental, and strategic viewpoints. We examine the impact of these changes on supplier relationships, supplier OEM collaboration, and new entrants’ potential for disruption, as well as propose strategies …

Renewable Energy Stocks' Performance And Climate Risk: An Empirical Analysis, Lingyu Li, Xianrong Zheng, Shuxi Wang

Information Technology & Decision Sciences Faculty Publications

This article studies the relationship between renewable energy stocks’ performance and climate risk. It shows that publicly held renewable energy stocks underperform as a reaction to climate policy information releases, modeled by feed-in tariff (FIT) legislation announcements. The study examined stock price behaviors 2 days before and 30 days after FIT policy announcements. The stock sample used in the study has 3702 firm-day combinations, which included 180 cleantech firms and 32 events from 2007 to 2017. Based on the residual analysis of the sample’s abnormal return, it indicated that the FIT announcements are associated with significant declines in returns. The …

Applications Of Ai/Ml In Maritime Cyber Supply Chains, Rafael Diaz, Ricardo Ungo, Katie Smith, Lida Haghnegahdar, Bikash Singh, Tran Phuong

School of Cybersecurity Faculty Publications

Digital transformation is a new trend that describes enterprise efforts in transitioning manual and likely outdated processes and activities to digital formats dominated by the extensive use of Industry 4.0 elements, including the pervasive use of cyber-physical systems to increase efficiency, reduce waste, and increase responsiveness. A new domain that intersects supply chain management and cybersecurity emerges as many processes as possible of the enterprise require the convergence and synchronizing of resources and information flows in data-driven environments to support planning and execution activities. Protecting the information becomes imperative as big data flows must be parsed and translated into actions …

Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange, Hafiz Hoque, John Doukas

Finance Faculty Publications

This study examines the endogenous market choice and its impact on underwriter spread if Alternative Investment Market (AIM) IPOs that meet Main Market (MM) listing requirements had issued equity in the MM during the 1995–2021 period. We find that the spread is 1.33% higher in the AIM than the MM for IPO listings that meet the MM listing requirements. This finding suggests that AIM companies, meeting the MM listing requirements, could have saved more than £100 million by going public through the MM than the AIM market. We also find that this spread differential is attributed to the issuing firms' …

Women Leaders' Lived Experiences Of Bravery In Leadership, Michelle E. Bartlett

Educational Leadership & Workforce Development Faculty Publications

Purpose

The research aims to understand the stories of women leaders who have demonstrated bravery in leadership. By analyzing their lived experiences through storytelling and narratives, it seeks to shed light on the challenges and motivations behind their brave actions, contributing to a deeper understanding of bravery in leadership within gender and organizational contexts.

Design/methodology/approach

This study adopts a qualitative multiple case study approach, focusing on the autobiographical accounts of three women leaders to explore their experiences of bravery in leadership. Utilizing narrative analysis (NA), it is grounded in ethical leadership theory and narrative identity theory. The research method involves …

Muslim Collegiate Student-Athletes' Experience With Fasting During Ramadan While Participating In Sport, Mishaal Amjad, Julie M. Cavallario, Nicolette A. Harris, Cailee E. Welch Bacon

Rehabilitation Sciences Faculty Publications

Context: As colleges and universities continue to focus on creating diverse, equitable, and inclusive environments, it is important to gain more knowledge on the experiences that Muslim student-athletes have while fasting during the month of Ramadan. While previous researchers have investigated the physical effects of fasting on the body, little is known about the challenges or support Muslim student athletes experience while fasting and participating in sport during Ramadan.

Objective: To explore the experiences of Muslim collegiate student-athletes regarding fasting during Ramadan while participating in sports.

Design: Consensual qualitative research.

Setting: Individual video interviews.

Participants: 12 Muslim collegiate student-athletes (4 …

International Diversification And Stock-Price Crash Risk, Alireza Askarzadeh, Mostafa Kanaanitorshizi, Maryam Tabarhosseini, Dana Amiri

Finance Faculty Publications

Despite the recent proliferation of research on internationalization, little attention has been paid to understanding the reasons behind the decrease in firm value accompanying international expansion. By delving into the underlying mechanisms and applying the concept of agency theory to a sample of US firms spanning from 2000 to 2022, we posit that an increased level of information asymmetry in internationally diversified firms incentivizes managers to prioritize their own interests. To protect their careers, CEOs of internationally diversified firms often suppress bad news. This behavior can lead to the accumulation of negative news and heighten the risk of a stock-price …

Narrative Transportation: A Systematic Literature Review And Future Research Agenda, Veronica L. Thomas, Jaime L. Grigsby

Marketing Faculty Publications

Consumers are inundated with opportunities to become engaged with marketing-generated stories, from watching an influencer detail her adventures abroad or a commercial about a military service member who makes it home just in time for the holidays. When consumers become so engaged with a story that they begin to connect with the story characters and imagine what will happen next, they experience a process known as narrative transportation, which has significant positive outcomes for marketers. Given the value that narrative transportation provides to marketers, we conduct a systematic literature review to both synthesize and provide direction on the literature of …

Enhanced Prediction Of Stock Markets Using A Novel Deep Learning Model Plstm-Tal In Urbanized Smart Cities, Saima Latif, Nadeem Javaid, Faheem Aslam, Abdulaziz Aldegheishem, Nabil Alrajeh, Safdar Hussain Bouk

School of Cybersecurity Faculty Publications

Accurate predictions of stock markets are important for investors and other stakeholders of the equity markets to formulate profitable investment strategies. The improved accuracy of a prediction model even with a slight margin can translate into considerable monetary returns. However, the stock markets' prediction is regarded as an intricate research problem for the noise, complexity and volatility of the stocks' data. In recent years, the deep learning models have been successful in providing robust forecasts for sequential data. We propose a novel deep learning-based hybrid classification model by combining peephole LSTM with temporal attention layer (TAL) to accurately predict the …

Data Science In Finance: Challenges And Opportunities, Xianrong Zheng, Elizabeth Gildea, Sheng Chai, Tongxiao Zhang, Shuxi Wang

Information Technology & Decision Sciences Faculty Publications

Data science has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective. Data science in finance helps to provide more personal and safer experiences for customers and develop cutting-edge solutions for a company. This paper surveys the challenges and opportunities in applying data science to finance. It provides a state-of-the-art review of financial technologies, algorithmic trading, and fraud detection. Also, the paper identifies two research topics. One is how to use generative AI in algorithmic trading. The other is …

Last-Minute Coordination: Adapting To Demand To Support Last-Mile Operations, Kedong Chen, Hung-Chung Su, Kevin Linderman, William Li

Information Technology & Decision Sciences Faculty Publications

In the highly competitive e-commerce industry, customer-facing warehouses are crucial as the “order penetration points” for e-commerce last-mile operations. This research examines how warehouses use last-minute coordination, an unstructured mechanism, to ensure sufficient inventory at the order penetration points. Previous research has focused on structured mechanisms like contracts and inventory management systems to enhance warehouse performance. However, these mechanisms can be ineffective when faced with unforeseen local contingencies. To adjust inventory and adapt to changes in supply and/or demand, warehouses need to engage in unstructured, last-minute coordination with other warehouses. Using coordination and loose coupling theories, we find that coordinating …

A Review Of Hybrid Cyber Threats Modelling And Detection Using Artificial Intelligence In Iiot, Yifan Liu, Shancang Li, Xinheng Wang, Li Xu

Information Technology & Decision Sciences Faculty Publications

The Industrial Internet of Things (IIoT) has brought numerous benefits, such as improved efficiency, smart analytics, and increased automation. However, it also exposes connected devices, users, applications, and data generated to cyber security threats that need to be addressed. This work investigates hybrid cyber threats (HCTs), which are now working on an entirely new level with the increasingly adopted IIoT. This work focuses on emerging methods to model, detect, and defend against hybrid cyber attacks using machine learning (ML) techniques. Specifically, a novel ML-based HCT modelling and analysis framework was proposed, in which regularisation and Random Forest …

The Role Of Discrete Emotions In Job Satisfaction: A Meta-Analysis, Courtney E. Williams, Jane Shumski Thomas, Andrew A. Bennett, George C. Banks, Allison Toth, Alexandra M. Dunn, Andrew Mcbride, Janaki Gooti

Management Faculty Publications

[Summary] The relationship between emotions and job satisfaction is widely acknowledged via affective events theory (AET). Despite its widespread use, AET was not designed to address why specific emotions might differentially relate to job satisfaction. We utilize appraisal theory of emotion to refine AET and provide this nuanced theorizing. We meta‐analytically test our ideas with 235 samples across 99 883 individuals and 22 600 intra‐individual episodes. We test two approaches—specific emotion experiences (16 discrete emotions) versus general emotion experiences (positive or negative emotions)—and present empirical evidence of their similarities and differences with job satisfaction. Our findings suggest that specific emotions …

Alert During What? Beyond The "Big O" To A Culturally-Cognizant, Process View Of Entrepreneurial Alertness, Robert J. Pidduck, Daniel R. Clark

Management Faculty Publications

Entrepreneurial alertness is a psychological aptitude generally associated with aspects of nascent venturing, centered on individuals' environmental observations, the association of resources, and idea evaluation. A decade following the Tang et al. (2012) consensus construct and scale, critiques remain questioning its utility and unique value to the major conversations in entrepreneurship. Proponents put great emphasis on entrepreneurial alertness's proven association with opportunity recognition and entrepreneurial actions. Yet, critics suggest it might be an unnecessary step offering little more than a positive association with opportunity recognition in a highly generalized and static way. The purpose of this paper is to address …

Time And Change: A Meta-Analysis Of Temporal Decisions In Longitudinal Studies, Helen Hailin Zhao, Abbie J. Shipp, Kameron Carter, Erik Gonzalez-Mulé, Erica Xu

Management Faculty Publications

Longitudinal research has grown in popularity in the field of management and organizations. However, the literature has neglected to consider the important ways in which researchers' temporal decisions can influence observed change in longitudinal studies. Researchers must make a set of temporal decisions to capture change, such as the temporal precision of the hypothesized form of change, the selection of a sample that is expected to exhibit the change, the choice of variables to be measured repeatedly, the frequency of measurements, and the time interval between measurements. However, these decisions typically are based on "educated guesses," which makes their effects …

Ai-Designed Clothing And Perceived Values: What Can Move Consumers' Minds With The Ai-Designed Clothing?, Choi Dooyoung, Ha Kyung Lee

STEMPS Faculty Publications

This study investigates the perceived values of AI-designed clothing (quality, emotion, ease) and their impact on willingness to pay (WTP) and word-of-mouth (WOM), with the moderating effect of gender differences. A total of 314 respondents completed the survey via MTurk. Participants watched a video clip demonstrating how an AI system creates various clothing designs by altering garment elements (e.g., style, size). After watching the video clip, they were asked to answer a series of questions about the AI-designed clothing and themselves. The collected data were analyzed using AMOS 26.0. Results showed that, for male and female consumers, the quality value …

Feeling Of Being Together In The Metaverse: Positive Influence Of Copresence On Subjective Well-Being, Do Yuon Kim, Dooyoung Choi, Namhee Yoon, Ha Kyung Lee

STEMPS Faculty Publications

Applying the flow theory, this study examined how copresence improved the subjective well-being of users through flow and escapism. An online self-administered survey of 249 US adults who are currently using metaverse platforms is conducted. The collected data are analyzed by SPSS, AMOS and PROCESS. Findings suggest that the feeling of being together with other users in a metaverse can influence consumers’ satisfaction with their lives. Copresence in the metaverse specifically enhanced flow, which is being immersed in the experience; and escapism, which is avoiding unpleasant realities. Copresence and flow were found to improve the subjective well-being of metaverse users. …

Will The Scarcity Of Ai-Designed Clothing Influence Consumers To Purchase?, Choi Dooyoung, Ha Kyung Lee

STEMPS Faculty Publications

This study explores how perceived scarcity of AI-designed clothing influences purchase intention, mediated by perceived monetary value. Fashion involvement's moderating role is also examined. Participants (N = 311), sourced from Amazon Mechanical Turk, watched an AI clothing design video, and evaluated a jacket that is designed by AI. Responses on perceived scarcity, monetary value, purchase intentions, and fashion involvement were collected using Likert scales. Analyzing data with SPSS 28.0 and the PROCESS Macro Model 8 with 5,000 bootstrap samples suggested that although the scarcity of an AI-designed clothing alone may not significantly increase purchase intentions, fashion brands can leverage the …

Leadership And Environmental Sustainability: An Integrative Conceptual Model Of Multilevel Antecedents And Consequences Of Leader Green Behavior, Hannes Zacher, Clara Kühner, Ian M. Katz, Cort W. Rudolph

Psychology Faculty Publications

Environmental sustainability is a strategic and ethical imperative for organizations, and numerous studies have investigated associations between leadership and employee pro-environmental or “green” behavior. However, these studies have typically focused on leadership styles that conflate leader behavior with its assumed antecedents or consequences. Moreover, the literature on relations between leadership and environmental sustainability constructs is fragmented and in need of systematic integration to effectively guide future research and practice. Accordingly, we pursue three goals in this conceptual paper. First, after a brief review of key insights from extant theoretical and empirical research, we define leadership in the context of environmental …

The Role Of Shopping Orientations And Intrinsic Experiential Value In Consumer's Willingness To Follow Embodied-Ai's Advice In Fashion Shoe Stores, Christina Soyoung Song, Ji Young Lee, Dooyoung Choi

STEMPS Faculty Publications

This study employs a synthesis of Intrinsic Motivation Theory with three shopping orientations, namely “adventure,” “idea,” and “personalized” shopping, in order to examine their potential influence on individuals' motivation towards shopping. We proposed that consumers’ experiential value of intrinsic enjoyment is an indispensable mediator that affects their willingness to follow EAI’s advice. The study offers novel insights into the way that consumers’ characteristics of influencing others’ clothing consumption affect their shopping motivations to find adventure and stimulation, keep up with new fashion trends and products information, and their preference to patronize stores and interact with store staff on a personal …

The Effect Of Sustainability Information Disclosure On The Cost Of Equity Capital: An Empirical Analysis Based On Gartner Top 50 Supply Chain Rankings, Lingyu Li, Xianrong Zheng, Shuxi Wang

Information Technology & Decision Sciences Faculty Publications

While disclosing financial information has been widely proved to reduce the financing cost of a company, the impact of non-financial information, such as sustainability information, disclosing on the financing cost of the company is still in debate. The goal of this paper is to explore the impact of disclosing sustainability-related information on the cost of equity for firms. The paper first introduces the concept of sustainability information disclosure, and then exhibits its benefit through exploring its impact on reducing a firm’s financing cost. It uses the Gartner supply chain top 50 rankings to construct the experiment environment to test for …

Professional Development Newsletter, February 2023, Odu Career Pathways Program, Old Dominion University

Career Pathways

February 2023 issue of ODU Career Pathways Professional Development Newsletter.

Digital Transformation, Applications, And Vulnerabilities In Maritime And Shipbuilding Ecosystems, Rafael Diaz, Katherine Smith

VMASC Publications

The evolution of maritime and shipbuilding supply chains toward digital ecosystems increases operational complexity and needs reliable communication and coordination. As labor and suppliers shift to digital platforms, interconnection, information transparency, and decentralized choices become ubiquitous. In this sense, Industry 4.0 enables "smart digitalization" in these environments. Many applications exist in two distinct but interrelated areas related to shipbuilding design and shipyard operational performance. New digital tools, such as virtual prototypes and augmented reality, begin to be used in the design phases, during the commissioning/quality control activities, and for training workers and crews. An application relates to using Virtual Prototypes …

Professional Development Newsletter, January 2023, Odu Career Pathways Program, Old Dominion University

Career Pathways

January 2023 issue of ODU Career Pathways Professional Development Newsletter.

A Model Of Build Back Better Utilization: Long-Term Recovery Groups And Post-Disaster Housing Recovery, Eduardo Landaeta, Jesse Richman

Political Science & Geography Faculty Publications

Housing recovery, especially for vulnerable populations, can be a challenging process. Questions regarding whether to rebuild damaged housing and whether to restore it to its previous state or to build back better must be answered. In the United States, Long-Term Recovery Groups (LTRGs) play a crucial role in channeling assistance to vulnerable community members as they embark on housing recovery. However, the experiences of LTRGs have been understudied. To address this gap, the study utilizes interviews with a diverse range of LTRG members and develops an agent-based model following the Overview, Design concepts, and Details (ODD) protocol. The results highlight …

Creating Portfolio Management Concepts For Highly Agile And Innovative Government Research Programs Using Design Thinking And Learn Start Up Methodologies, Vanessa Aubuchon, Resit Unal, Pilar Pazos, Holly Handley, Cindy Daniels

Engineering Management & Systems Engineering Faculty Publications

Managing a research and development (R&D) portfolio presents numerous challenges, such as prioritizing research areas, remaining agile, strategic workforce planning, and measuring return on investment, impact, and innovation. One government R&D program is charged with producing a high degree of innovative, transformational breakthroughs in aviation technology. A practical, structured methodology for strategically prioritizing emerging aviation R&D in such an environment is lacking. The existing multi-criteria decision aid tools are primarily utilized at an enterprise level, take months to set up and collect data, require large teams of experts, are used on an infrequent basis, and are not conducive to a …

Improving Safety Service Patrol Performance, Mecit Cetin, Hong Yang, Kun Xie, Sherif Ishak, Guocong Zhai, Junqing Wang, Giridhar Kattepogu

Civil & Environmental Engineering Faculty Publications

Safety Service Patrols (SSPs) provide motorists with assistance free of charge on most freeways and some key primary roads in Virginia. This research project is focused on developing a tool to help the Virginia Department of Transportation (VDOT) optimize SSP routes and schedules (hereafter called SSP-OPT). The computational tool, SSP-OPT, takes readily available data (e.g., corridor and segment lengths, turnaround points, average annual daily traffic) and outputs potential SSP configurations that meet the desired criteria and produce the best possible performance metrics for a given corridor. At a high level, the main components of the developed tool include capabilities to: …