Management Sciences and Quantitative Methods Commons^™

Improving Student Outcomes Using Automated Feedback In A First-Year Economics Class, Sinead Huskisson, Tom O'Mahony, Seán Lacey

Dept. of Management & Enterprise Publications

The assessment literature advocates utilising formative assessment strategies to support and enhance student learning. This study uses online practice tests with inbuilt feedback, that students could repeatedly use, as a formative feedback strategy in a first-year introductory microeconomics module. The key question explored is whether repeated engagement with online practice tests had a statistically significant impact on students’ subsequent performance on a summative assessment. Quantitative engagement and performance data (N = 223) were collected from a cohort of first-year students. An analysis of this data reveals that engaging with the online practice test multiple times has a statistically significant impact …

The (Mis)Alignment Between Customer Evaluations Of Specific Service Dimensions And Their Overall Experience Ratings, Linlin Chai, Jin Li, Shan Awasthi, Somnath Banerjee

Mountain Plains Business Conference

In the highly competitive airline industry, customer satisfaction and loyalty are significantly influenced by the nuances of flight experiences. A crucial issue, largely overlooked by the literature, is the alignment—or misalignment—between customer evaluations of specific service dimensions and their overall experience ratings. This misalignment is commonly observed in consumer reviews, where high ratings for individual aspects (e.g., seat comfort or in-flight entertainment) may not always translate into equally high overall satisfaction scores, and vice versa. Understanding this alignment or misalignment is critical because it offers insights into the complex nature of customer satisfaction, revealing that it cannot be fully captured …

Greening Manufacturing: The Role Of Institutional Pressure And Collaboration In Operational Performance, Aamir Rashid, Rizwana Rasheed, Nezih Altay

Publications and Research

Interesting because: This research highlights the critical role of coercive and mimetic (institutional) pressures in addressing environmental concerns through supply chain collaboration (SCC) among manufacturing supply chain (SC) partners. Further, it underscores the importance of adopting eco-friendly practices in manufacturing to reduce environmental degradation, comply with regulations, and enhance operational performance.

Theoretical value: This study contributes to institutional theory and stakeholder theory by validating the influence of coercive and mimetic (institutional) pressures on manufacturing SCC and its impact on environmental and operational performance. It broadens the application of these theories by highlighting how external institutional forcesshapeinternalprocessesforsustainablepractices.Thestudyrefinesthetheoretical understanding of SCC by …

Breaking Into The Black Box Of Customer Perception Towards Robot Service: Empirical Evidence From Service Sector, Samar Rahi, Mazuri Abd Ghani, Manaf Al-Okaily, Aamir Rashid, Mahmoud Alghizzawi, Fadi Shehab Shiyyab

Publications and Research

The advent of artificial intelligence and machine learning has enabled robots to serve in consumer market for a better customer experience. Nevertheless, acceptance of robotic technology among consumers is still lacking. Therefore, this study has developed an integrated model with robot appearance, expectation confirmation model, diffusion of innovation and theory of planned behavior and empirically investigates customer intention to use service robot. The research model is empirically tested with 349 responses retrieved from customers visiting retail stores. Statistical results have revealed that customer innovativeness, compatibility, behavioral control, expectation confirmation, service robot appearance and subjective norms explained R2 80.1 % variance …

Extending Behavioral Theory Of The Firm To New Ventures: Dispositional Optimism As A Moderating Influence On New Product Introductions In High Tech Ventures, R. Isil Yavuz, Dev K. Dutta, Mehmet A. Soytas

Management Department Faculty Journal Articles

Extant literature has typically drawn from the behavioral theory of the firm (BTOF) to examine new product introductions in the context of well-established companies. This paper extends the behavioral theory of the firm to entrepreneurial firms and argues that jointly considering founders' dispositional optimism together with the performance feedback promises to yield a better understanding of new product introductions in new ventures. We analyze a longitudinal dataset on the activities of 344 newly founded high technology ventures in the United States. The key insight of our study is that when BTOF is applied to the context of nascent, entrepreneurial ventures, …

تحديد مستوى تطبيق مبادئ الحوكمة في المجالس البلدية الأردنية: دراسة تحليلية, Alaa Kamal Almomani

Journal of the Association of Arab Universities for Research in Higher Education (مجلة اتحاد الجامعات العربية (للبحوث في التعليم العالي

هدفت هذه الدراسة إلى تحديد مستوى تطبيق مبادئ الحوكمة في المجالس البلدية الأردنية، والتعرف إلى وجود فروق ذات دلالة إحصائية في مستوى تطبيق مبادئ الحوكمة بين المجالس البلدية تعزى للمتغيرات الديمغرافية لعينة الدراسة. وتكوّن مجتمع الدراسة من العاملين في المجالس البلدية ضمن المستويات الإدارية في محافظات الزرقاء، إربد، جرش وعجلون، ولتحقيق أهداف الدراسة تم تطوير استبانة لغرض جمع البيانات، وقد تم توزيع الاستبانة على عينة مكونة من (350) عاملاً في المجالس البلدية ضمن المستويات الإدارية، ﻭتم استرداد (307) اﺴﺘﺒﺎﻨﺔ مستكملة، وتم استخدام الأساليب الإحصائية المناسبة لتحليل بيانات الدراسة واختبار فرضياتها وذلك بالإستعانة بالرزمة الإحصائية (SPSS). وأظهرت الدراسة مجموعة من النتائج …

An Analysis Of Drivers Of The Federal Funds Rate, Stephen Johnson, Neha Dixit, Martin Selzer Ph.D.

SMU Data Science Review

The Federal Funds Rate (FFR) is a tool used by the Federal Reserve to set monetary policy on borrowing costs for consumers and businesses. The Fed’s primary motivation with the FFR is to control macroeconomic factors such as inflation and unemployment. Over time, policy stances for the Fed have varied in response to events such as the Great Recession, and more recently the COVID-19 pandemic. In light of the Fed’s actions following these events, there is intensified debate over which macroeconomic factors should be prioritized, and what magnitude of change is sufficient to warrant action. Additionally, when action is taken …

Advancing Sustainable Investing: A Deep Learning Model For Multi-Source Stock Prediction, Hongxuan Yu, Tingting Zhang, Murat Kizildag

Journal of Global Business Insights

The burgeoning role of the stock market within the national economy elevates the importance of precise stock price analysis and prediction, a field that has garnered substantial interest in academic research. Stock price fluctuations, influenced by a multitude of factors including company fundamentals, market sentiment, capital flows, industry news, and macroeconomic policies, present a highly dynamic and complex challenge for predictive modeling. Addressing this challenge, our study introduces an innovative method that capitalizes on the synthesis of news text and stock price data for forecasting market movements. We employ Glove embeddings to capture semantic nuances from news text and integrate …

A Nexus Of Multiple Integrations And Business Performance Through Supply Chain Agility And Supply Flexibility: A Dynamic Capability View, Aamir Rashid, Rizwana Rasheed, Abdul Hafaz Ngah, Rob Kim Marjerison

Publications and Research

Purpose – Manufacturing capability is a crucial component of every nation’s economy and pharmaceuticals are frequently a significant part of the manufacturing sector. Pharmaceutical supply chains are essential to health-care systems, contributing to living quality and shorter hospital stays. This study aims to examine the role of multiple integrations on business performance (BP) through supply chain flexibility (SCF) and supply chain agility (SCA).

Design/methodology/approach – Data was collected from 198 supply chain professionals in the pharmaceutical sector of the developing economy of Pakistan. The sample was collected based on a nonprobability purposive sampling approach. A five-point Likert-scale survey was used …

Flying To Your Home Yard: The Mediation And Moderation Model Of The Intention To Employ Drones For Last-Mile Delivery, Abdul Hafaz Ngah, Ramayah Thurasamy, Samar Rahi, Nurul Izni Kamalrulzaman, Aamir Rashid, Fei Long

Publications and Research

Purpose – Drones will become part of daily lives similar to smartphones becoming a staple of modern living. Nonetheless, only several past studies investigated the intention to utilise drones for parcel delivery however, the intention to use drones among online shoppers was not fully explored. The study attempts to investigate the factors influencing the intention to use drones for last-mile delivery.

Design/methodology/approach – A total of 292 data were gathered via an online survey among online shoppers applying a snowball sampling method. Since the study operationalised the measures as composites, a combination of reflective and formative measurement, and the study …

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 …

Unleashing The Power Of Cloud Adoption And Artificial Intelligence In Optimizing Resilience And Sustainable Manufacturing Supply Chain In The Usa, Aamir Rashid, Rizwana Rasheed, Abdul Hafaz Ngah, Noor Aina Amirah

Publications and Research

Purpose – Recent disruptions have sparked concern about building a resilient and sustainable manufacturing supply chain.While artificial intelligence (AI) strengthens resilience, research is needed to understand how cloud adoption can foster integration, collaboration, adaptation and sustainable manufacturing. Therefore, this study aimed to unleash the power of cloud adoption and AI in optimizing resilience and sustainable performance through collaboration and adaptive capabilities at manufacturing firms. Design/methodology/approach – This research followed a deductive approach and employed a quantitative method with a survey technique to collect data from its target population. The study used stratified random sampling with a sample size of 1,279 …

Optimal Strategies For Introducing A New Technological Product, Ali Lotfi

Electronic Thesis and Dissertation Repository

This study presents analytical frameworks to provide firms with effective strategies that can be adopted when they plan to release a new technological product (e.g., TV sets, video players, cameras, video games, etc.). Specifically, focusing on technology products, the current study recommends optimal pricing strategies for new products, introduces a multigeneration sales model developed to capture evolving sales trends across multiple product generations, outlines an optimal market entry timing strategy for a new product generation in a product line, and provides an effective marketing strategy to promote sales of a new product by offering an optimal number of free products …

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

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 participants.