Management Sciences and Quantitative Methods Commons^™

Importance Of Mentoring Programs For Successful Remote Work Project Completion, Karlo Lozic

Harrisburg University Dissertations and Theses

Covid-19 has upended the work environment tremendously. Around 50% of employees now work remotely at least some days of the week. And while researchers have studied extensively the impact of remote work on productivity and project performance, the importance of mentoring programs for successful remote work project execution has been neglected. One of the main bottlenecks remote projects face is the need for knowledge sharing which would otherwise occur naturally in the office. A potential solution to solve the bottleneck and encourage the process of knowledge sharing is by establishing formal mentoring programs which can guide remote workers and not …

Corporate Crisis Management: A Contemporary Best Practices Template, Vivek Narayan

Finance Undergraduate Honors Theses

This paper seeks to re-envision the crisis management framework used by organizations in their day-to-day activities. In the modern world, with exponential technological advancements, the social media age, and the 24/7 news cycle, crises have worsened in severity. Despite this, most literature on the subject is more than a decade old.

Incorporating past literature, this thesis demonstrates that society is in an “era of crises,” then defines and discusses the types and origins of these crises. It compares the topics of issues and crisis management before commentating on corporate and academic literature and ultimately previous 3-stage models for crisis management. …

The Moderating Role Of Cost And Convenience On The Relationship In The Utaut Model To Adopt E- Payment Services, Essia Ries Ahmed, Brahim Zirari, Imane Tabet Derraz

Journal of International Technology and Information Management

Many emerging economies are on the brink of a major digital revolution as a result of the disruptive and game-changing wave of digitization that aims to create a financial ecosystem that will make the transition from a cash-based economy to a cashless (digital) economy the easiest way by making reliable and secure networks, Seamless payment solutions, ensuring large transactions at lightning speeds are a reality. Most studies using UTAUT are cross-sectional, capturing data at a single point in time. Longitudinal studies are needed to observe changes in behavioural intention and actual adoption of e-payment services over time, particularly in response …

Empirical Studies On Flexible And Renewable Investment Interaction In The Modernizing Electricity Grid, Seyed Amin Seyed Haeri

All Dissertations

The U.S. electricity generation portfolio is transitioning from fossil fuels to renewables like solar and wind, posing challenges due to renewable intermittency. The first chapter examines the relationship between renewable and conventional generation technologies, focusing on operational flexibility. Using panel data from 2002 to 2019, our empirical strategy reveals that flexible generation investments stimulate future wind and solar capacity and respond to current renewable penetration, especially wind energy. This dynamic highlights flexible generation's role in ensuring grid reliability. We also analyze the influence of renewable portfolio standards, market competition, and natural gas infrastructure on investment dynamics.The second chapter explores the …

Maximizing Generative Ai Benefits With Task Creativity And Human Validation, Charu Sinha, Veselina P. Vracheva, Cristina Nistor

Business Faculty Articles and Research

Much of the existing literature on generative AI applications is conflicting, with findings suggesting that investing in AI will lead to better organizational outcomes but also pointing out that incorporating AI may be a wasteful even counterproductive initiative. We develop a conceptual frame-work to characterize generative AI benefits based on the types of tasks that generative AI may be used for in management. Our work suggests that task creativity plays a key role in successful generative AI outcomes, but human validation - the extent to which a human engages in a supervisory role - is required to reap the benefits. …

Remote Work: How Leaders Impact Employee Wellbeing, Russ Carfagno, Jonas Strömbäck, Cheryl Joyner, Gilbert Franco

The Journal of Values-Based Leadership

Leaders face many challenges in motivating team members including maintaining remote workers' sense of organizational inclusion. Remote work and flexible working arrangements (FWA) have increased the complexity. Flexible working arrangements (FWA) provide value to employees and may help with work-life balance yet FWA can create employee loneliness and contribute to higher turnover. This quantitative study looked at whether leadership behavior affected remote workers’ loneliness, and the intention to quit. An online survey was conducted through LinkedIn sampling 92 adults who worked remotely at least 20 hours per week in the United States. The study found that the leader-member relationship does …

Supervisor Gender, Employee Creativity, And The Mediating Role Of Interaction Frequency, Holly Chadwick, R. Isil Yavuz, Crystal Xiangwen Jiang, Elzotbek Rustambekov

Management Department Faculty Journal Articles

While it is well established that leader characteristics influence employee outcomes, little is known about whether and how leader gender influences employee creativity. Traditionally, female leaders are considered a mismatch for prototypical leadership roles, resulting in less optimal employee outcomes compared to male leaders. In this paper, by drawing on social role and leader-member exchange (LMX) theories, we argue that female supervisors may have advantages over male supervisors and may serve as a catalyst to encourage employee creativity. In the empirical analyses, we test our hypotheses using data from German, Japanese, and South Korean foreign subsidiaries located in China. Results …

Zero Textbook Cost Syllabus For Cis 3920 (Intro To Data Mining), Lawrence Cohen

Open Educational Resources

To successfully compete in today’s global business environment an organization must constantly monitor, recognize, and understand every aspect and every issue of its operations, its industry, and the overall business environment. This course focuses on data mining and understanding the steps of a data mining project from both a business and technical perspective.

Students will actively participate in this course through class discussions, project preparation and presentation, and hands-on labs. We cover both supervised and unsupervised data mining techniques for tasks like targeted mailing campaigns, customer segmentation, customer churn, fraud-detection, and market basket analysis.

In this course, I encourage students …

Construction And Empirical Study Of Competitive Identification Framework Based On Patent Information, Daobin Gao, Hong Wu, Zhijie Li

Journal of Scientific Information Research

[Purpose/significance]To enrich the identification methods of competitors in competitive intelligence strategies under the new situation, and provide decision support for enterprises to formulate technology competition strategies in complex and ever-changing market competition environments. [Method/process]This article using patents as data sources, construct a framework for identifying competitors and conduct empirical research.Firstly, based on the LDA model, identify the main technological research and development directions of the target enterprise and determine the set of candidate competitor enterprises; Secondly, construct a two-dimensional strategic coordinate based on technology and market similarity, and divide the candidate competitor combination of the target enterprise into direct, indirect, …

Peran Kemudahan, Keamanan, Inovasi, Dan Kecepatan Layanan Terhadap Pengalaman Dan Loyalitas Pelanggan Pada Aplikasi Fintech Investasi, Ahmad Ghazy Lilhaq, Imam Salehudin

Jurnal Manajemen dan Usahawan Indonesia

The Role of Ease of Use, Security, Innovation, and Service Speed in Shaping Customer Experience and Loyalty in Investment Fintech Apps

This study examines the influence of customer experience on user loyalty toward investment fintech applications in Indonesia. The rapid growth of fintech has revolutionized the financial sector by providing easier and more efficient access to financial services. This research investigates factors influencing customer experience, including ease of use, perceived value, customer support, perceived risk, service speed, and perceived innovativeness, as well as their impact on customer loyalty. Data were collected from 301 users of investment fintech applications in Indonesia …

Integrating Environmental And Entrepreneurship Advocacy Into Enviropreneurship Through Green Supply Chain Management, Waste Management, And Green Innovation: A Study On Smes Of Us, Rizwana Rasheed, Aamir Rashid, Noor Aina Amirah, Rashid Hashmi

Publications and Research

Many entrepreneurs across the US are the key players in building a greener economy. Their agility and innovative spirit offer a source of potential solutions. This is especially true for small businesses, which can quickly adapt to sustainable practices. Therefore, this research investigated the direct and indirect (mediating) roles of waste management and green innovations in green supply chain management and enviropreneurship performance, which is a transition from environmental to enviropreneurship advocacy. This study used a deductive approach with a quantitative research method. A study of a survey for 835 supply chain professionals in US small and medium enterprises used …

Experimental Methods In Predicting Market Drift And Other Portfolio Optimization Factors Using Graph Theory, Perry Harrison Zhang

Computer Science Senior Theses

No abstract provided.

Exploring The Impact Of Artificial Intelligence On Project Management Across The Manufacturing, Technology, And Construction Industries, Susie Diaz Ferrera

Harrisburg University Dissertations and Theses

This study explores the impact of Artificial Intelligence (AI) on project management across the manufacturing, technology, and construction industries. The research focuses on understanding the benefits, challenges, and long-term implications of AI utilization in these sectors. Key findings indicate that 46% of participants use AI mainly for task automation and enhancing functions like brainstorming and communication, which significantly boosts efficiency and team productivity. Despite these benefits, the research identifies several obstacles, including high initial costs, inadequate training, technical issues, and unclear regulatory guidelines. The study addresses four main questions, revealing that AI not only enhances project management processes but also …

Nonstandard Errors, Albert J. Menkeld, Shihao Yu, Et Al.

Research Collection Lee Kong Chian School Of Business

Duplicate record, see https://ink.library.smu.edu.sg/lkcsb_research/7633/. In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty - nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by …

Nonstandard Errors, Albert J. Menkvelt, Anna Dreber, Et Al., Shihao Yu, Bart Zhou Yueshen, Emiliano Sebastian Pagnotta

Research Collection Lee Kong Chian School Of Business

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.

An Inaugural Forum On Epidemiological Modeling For Public Health Stakeholders In Arizona, Joseph R. Mihalijevic, Carmenlita Chief, Mehreen Malik, Kayode Oshinubi, Eck Doerry, Esma Gel, Crystal Hepp, Tim Lant, Sanjay Mehrotra, Samantha Sabo

Department of Supply Chain Management and Analytics: Faculty Publications

Epidemiological models—which help us understand and forecast the spread of infectious disease—can be valuable tools for public health. However, barriers exist that can make it difficult to employ epidemiological models routinely within the repertoire of public health planning. These barriers include technical challenges associated with constructing the models, challenges in obtaining appropriate data for model parameterization, and problems with clear communication of modeling outputs and uncertainty. To learn about the unique barriers and opportunities within the state of Arizona, we gathered a diverse set of 48 public health stakeholders for a day-and-a-half forum. Our research group was motivated specifically by …

Sentinel Surveillance Of Sars-Cov-2 Rates And Equity Impacts Using Labor And Delivery Patients In Phoenix, Arizona, Caitlyn J. Linehan, Trisalyn Nelson, Celeste V. Bailey, Esma Gel, Dean V. Coonrod, Cheryl K. Roth

Department of Supply Chain Management and Analytics: Faculty Publications

Proactive management of SARS-CoV-2 requires timely and complete population data to track the evolution of the virus and identify at risk populations. However, many cases are asymptomatic and are not easily discovered through traditional testing efforts. Sentinel surveillance can be used to estimate the prevalence of infections for geographical areas but requires identification of sentinels who are representative of the larger population. Our goal is to evaluate applicability of a population of labor and delivery patients for sentinel surveillance system for monitoring the prevalence of SARS-CoV-2 infection. We tested 5307 labor and delivery patients from two hospitals in Phoenix, Arizona, …

Environmental Racism And Climate (In)Justice In The Anthropocene: Addressing The Silences And Erasures In Management And Organization Studies, Seray Ergene, Subhabrata Bobby Banerjee, Erim Ergene

Management Department Faculty Journal Articles

In this paper, we are situated in postcolonial, decolonial, and feminist epistemologies to study environmental racism in the Anthropocene—a new geological epoch where human activity has changed the functioning of the earth. Drawing from critiques of the Anthropocene, the concept of racial capitalism, as well as environmental justice and racism scholarship, we show how proposed solutions to the climate crisis overlook and may even exacerbate racial injustices faced by communities of color. We contend that a climate justice agenda that is grounded on racial justice is necessary for our scholarship to develop a racially just management and organization studies (MOS). …

The Shocking Future Of Artificial Intelligence Across A Variety Of Industries, Collin Elek Boone

Management Undergraduate Honors Theses

Artificial intelligence is a huge phenomenon that has begun to take over worldwide media. The abilities that AI has already proven to be capable of will undoubtedly change the world in a variety of ways. In the future, however, it is possible that AI will have an impact on nearly every sector imaginable. With the success that companies such as OpenAI and Microsoft have already displayed regarding artificial intelligence, it is clear that this software has immense capabilities. The purpose of this study is to conduct research detailing the potential impact of AI on industries within the business sector and …

Balancing Perspectives: Assessing The Integration Of Ai In Academic Support Within Higher Education, Sami Ali

2024 Spring Honors Capstone Projects - Archive

The rapid advancement of A The rapid proliferation of Artificial Intelligence (AI) across various sectors highlights its transformative potential, yet its integration into educational settings raises ethical concerns, particularly regarding its misuse by students. This study conducts a detailed sentiment analysis and systematic literature review to examine the diverse perspectives on AI within education, from both academic and non-academic viewpoints. Utilizing advanced data mining tools to analyze sentiments and trends, this research reveals a complex landscape where optimism about AI’s capabilities is tempered by concerns over ethical implications and potential misuse. The findings contribute to the dialogue on leveraging AI …