Enhancing It Project Sustainability: The Role Of Collaborative Resources, Stakeholder Engagement, And Project Governance,
2026
Capital University of Science and Technology, Islamabad, Pakistan
Enhancing It Project Sustainability: The Role Of Collaborative Resources, Stakeholder Engagement, And Project Governance, Laiba Tahir, Arif Uddin
Business Review
The purpose of this research is to examine the impact of collaborative social resources on project sustainability in Pakistan's IT Projects, with particular emphasis on the mediating effect of stakeholder engagement and the moderating role of project governance. A quantitative research strategy applied using a standardized questionnaire administered via Google Forms. The questionnaire, developed after reviewing relevant literature, and shared with IT professionals across Pakistan, yielding 342 valid responses out of approximately 600 distributed forms. Data analyzed with Statistical Package for the Social Sciences (SPSS) for preliminary analysis and AMOS (Analysis of Moment Structures) Structural Equation Modeling used for measurement …
Environmental And Social Strategies, And Sustainable Performance: The Mediating Role Of Management Control Systems,
2026
Universiti Malaya
Environmental And Social Strategies, And Sustainable Performance: The Mediating Role Of Management Control Systems, Zheng Siqi
Student Works (2020-2029)
This study investigates how environmental and social (E&S) strategies influence enterprise sustainability performance (SP), with a focus on the mediating roles of Environmental Management Control Systems (EMCS) and Social Management Control Systems (SMCS). Anchored in the Resource-Based View (RBV), the study conceptualizes E&S strategies, EMCS, and SMCS as internal organizational resources that support the implementation of sustainability-related strategic intent. Although Chinese manufacturing enterprises face increasing regulatory and societal expectations regarding environmental and social responsibilities, prior research has primarily examined the direct association between sustainability strategies and performance outcomes or has treated sustainability control systems as aggregated constructs, providing comparatively less …
The Impact Of Central Bank Digital Currencies News On Bank Stability: Evidence From Asean-5 Countries,
2026
Bank Indonesia, Provinsi Sulawesi Selatan, Indonesia
The Impact Of Central Bank Digital Currencies News On Bank Stability: Evidence From Asean-5 Countries, Firman Hidayat, Raditya Sukmana, Masrizal Masrizal, Rahmat Heru Setianto
Bulletin of Monetary Economics and Banking
This study constructs an index reflecting Central Bank Digital Currency (CBDC) news coverage and evaluates its impact on bank stability. The CBDC Attention Index (CBDCAI) is formulated based on more than 533 Reuters Digital News Report articles from 2019 to 2023. Employing the System Generalized Method of Moments (GMM) approach with data from 92 banks across ASEAN-5 nations, and implementing quantile regression for robustness checks, the findings demonstrate a significant relationship between the CBDCAI and bank stability, alongside variables such as bank size and capitalization. These results offer valuable guidance for central banks, especially within the ASEAN-5 region, as they …
Hybrid Quantum-Classical Optimization Of The Resource Scheduling Problem,
2026
University of Denver
Hybrid Quantum-Classical Optimization Of The Resource Scheduling Problem, Tyler Christeson, Md Habib Ullah, Ali Arabnya, Amin Khodaei, Rui Fan
Electrical and Computer Engineering: Faculty Scholarship
Resource scheduling is critical in many industries, especially in power systems where the Unit Commitment (UC) problem determines the on/off status and output levels of generators under physical and economic constraints. Traditional exact methods, such as Branch-and-Bound, Branch-and-Cut, dynamic programming and mixed-integer linear programming (MILP), remain the backbone of UC solution techniques, but they often rely on linear approximations or exhaustive search, leading to high computational burdens as system size grows. Metaheuristic approaches, such as genetic algorithms, particle swarm optimization, and other evolutionary methods, have been explored to mitigate this complexity; however, they typically lack optimality guarantees, exhibit sensitivity to …
The Correlation Between Spiritual Tourism And Mental Health Of Young People In Binh Duong, Vietnam,
2026
Thu Dau Mot University, Vietnam
The Correlation Between Spiritual Tourism And Mental Health Of Young People In Binh Duong, Vietnam, Anh Nguyen
International Journal of Religious Tourism and Pilgrimage
While researchers are in agreement about the positive relationship between spiritual activities (SAs) and mental health (MH) among the general population, the relationship between spiritual tourism (ST) and MH, particularly among young adults, is yet to be adequately investigated. As such, this research was conducted to determine the contribution of ST towards the MH of the younger generation. The respondents are undergraduate students located in Vietnam’s industrial province of Binh Duong. The findings, from the quantitative research approach, indicate that young people perceive ST mainly as a means for visiting places of worship, with little consideration for the MH benefits …
Effects Of Green Human Resource Management On Green Innovation In Pakistani Textile Industries: The Mediating Effect Of Green Behavior,
2026
National College of Business Administration & Economics, Lahore, Pakistan.
Effects Of Green Human Resource Management On Green Innovation In Pakistani Textile Industries: The Mediating Effect Of Green Behavior, Saeeda Mirza, Shazia Parveen
Business Review
In the textile sector, employees' green behavior and green innovation are currently receiving more attention as contributing factors. Consequently, firms are launching a variety of sustainable development initiatives and developing green business plans. This study seeks to fulfil the identified need and contribute to theoretical advancement by examining the underlying mechanisms that explain the determinants of green innovation among managers of the textile sector, utilizing the framework of Ability, Motivation, and Opportunity theory. Purposive technique and two-wave sampling methodologies were employed to gather data via self-report survey questionnaires. Data were collected from a total of 310 textile managers. The primary …
Alter Composition With Overlapping Group Memberships,
2026
University of Manchester, UK
Alter Composition With Overlapping Group Memberships, Martin G. Everett, Stephen P. Borgatti
Management Faculty Publications
In this paper, we examine common methods of analyzing network data in which we characterize nodes via categorical attributes. For example, we consider alter composition (counting the number of alters of a given type), alter heterogeneity (measuring the diversity of ego’s alters), homophily (similarity between ego and their alters) and Gould-Fernandez brokerage (assessing how often a node is in a position to broker between different categories). All of these techniques assume that all nodes belong to one and only one category -- i.e., the categorical attribute forms a node partition. However, there are a number of circumstances in which network …
Impact Of Foreign Direct Investment On Employment In The Metropolitan Statistical Areas Of North Carolina,
2026
Gardner-Webb University
Impact Of Foreign Direct Investment On Employment In The Metropolitan Statistical Areas Of North Carolina, Matthew Y. Xiong
Doctor of Business Administration Dissertations
Foreign direct investment (FDI) is widely recognized as a catalyst for regional economic development; however, limited research has examined its relationship with employment growth at the metropolitan level within individual U.S. states. This study examined the relationship between FDI and employment growth across fifteen North Carolina Metropolitan Statistical Areas (MSAs) from 2010 to 2019. Guided by Dunning's Eclectic (OLI) Paradigm (1988), Endogenous Growth Theory, the Human Capital/Absorptive Capacity Framework, and Institutional Capacity Theory, this quantitative study employed a balanced panel dataset of 150 MSA-year observations. Fixed-effects panel regression models with cluster-robust standard errors were used to examine the effects of …
Wings Of Perception: Investigating Customer Sentiments In Indian Aviation Sector,
2026
SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering, Mumbai
Wings Of Perception: Investigating Customer Sentiments In Indian Aviation Sector, Yashodhan Karulkar, Kaiwan Vaghchhipawala, Aditya Trivedi, Anushree Talekar
Journal of International Technology and Information Management
India's aviation sector, a key contributor to the nation's economy, has experienced rapid growth, supporting nearly 7.5 million jobs and contributing approximately $30 billion annually to the GDP (Gross Domestic Product). The growth, driven by increased demand for air travel and government incentives, has resulted in more competition among carriers. In the competitive market, it is necessary to understand customer preferences to enhance the quality of service and maintain a competitive edge. The dissemination of customer opinions on social media and review platforms offers airlines the opportunity to access passenger views. However, extracting useful information from this unstructured data is …
Business Process Redesign For Reducing Undelivered Product Return Losses In E-Commerce – An Explainable Ai Approach,
2026
Indian Institute of Management Tiruchirappalli, India
Business Process Redesign For Reducing Undelivered Product Return Losses In E-Commerce – An Explainable Ai Approach, Venkataraghavan Krishnaswamy, Deepa R, Himanshu Sharma
Journal of International Technology and Information Management
Product returns in e-commerce affect the profitability of the e-tailer. We adopt a two-stage approach to reduce undelivered product returns in an e-commerce firm. First, we develop and compare machine learning techniques—logistic regression, decision trees, Naïve Bayes, random forest, adaptive boosting, gradient boosting, stochastic gradient boosting, and deep neural networks—on their ability to predict undelivered returns. Next, we use explainable methods, such as relative importance and Shapley values, to develop insights from the best-performing machine learning model. Finally, we use these insights and the predictive model to redesign the firm’s order fulfillment and return processes. A Post-implementation evaluation of the …
Ceo Compensation Changes Following Acquisitions,
2026
University of Kentucky
Ceo Compensation Changes Following Acquisitions, Leonce Bargeron, David J. Denis
Finance and Quantitative Methods Faculty Publications
We find that CEO compensation increases following acquisitions only in those deals in which acquirer stock is used as the method of payment. These compensation increases are driven by increases in equity-based compensation and are concentrated in riskier acquirers, in riskier acquisitions, and in acquirers whose CEOs have low exposure to the stock price. We find little support for traditional agency cost explanations of changes in CEO pay following acquisitions. However, our findings are broadly consistent with compensation changes representing a contracting solution to a two-sided adverse selection problem that is present only in stock acquisitions.
Exact Counting Via Duality: Applications To Supply Chain Networks,
2026
Illinois State University
Exact Counting Via Duality: Applications To Supply Chain Networks, Ashish Chandra
Faculty Publications – Management
We study the problem of counting disruption scenarios in a supply chain network (SCN), modeled as combinatorial link failures, that violate a performance threshold. Using duality, the violation set is represented as a union of threshold-defined subsets, each characterized by a linear inequality, enabling exact dynamic programming for counting. Under rational coefficients, we derive a pseudo-polynomial dynamic program conditional on the generated inequalities and, for nonnegative coefficients, an exact capped variant. Computational experiments on four-echelon SCNs demonstrate the approach’s effectiveness.
Validating Worst-Case System Performance Under Multi-State System Disruptions: Evidence From Supply Chain Networks,
2026
Illinois State University
Validating Worst-Case System Performance Under Multi-State System Disruptions: Evidence From Supply Chain Networks, Ashish Chandra
Faculty Publications – Management
Reliable performance of large-scale engineered systems is difficult to guarantee when components experience gradual rather than complete failures. Traditional reliability approaches based on binary operational states cannot formally validate performance under such graded disruptions. This study develops an optimization-based framework for validating worst-case system performance under multi-state disruptions with linear or exactly linearizable performance measures, polyhedral adaptive-response structures, and continuous polyhedral or discrete combinatorial disruption sets. The framework models adaptive system responses, such as rerouting and resource reallocation, through a nested optimization that captures the interplay between failures and operational decisions. A dual reformulation combined with the Reformulation–Linearization Technique transforms …
How Interest Rates Influence Entry Level Employment Growth For Undergraduate Economics Students,
2026
Belmont University
How Interest Rates Influence Entry Level Employment Growth For Undergraduate Economics Students, Stiles B. Logan, Marc Joseph, Dylan Hilburn, Hayden Baker, Krisha Patel
SPARK Symposium Presentations
The United States job market has become a growing concern for graduating college students over the last decade. With rising unemployment, increased competition, and the rise of generative AI technology over the last five years, more students than ever are genuinely concerned that they will be unable to find long-term employment after graduation. In this paper, we will analyze the correlation between United States interest rates and entry-level employment growth, with the goal of contributing new and actionable information to help graduating college students plan for the future. We will be using data from IPUMS and FRED, spanning January 2009–December …
From Static Λ To Moving Penalties: Dynamic Regularization In Mean-Variance Portfolio Choice,
2026
Claremont McKenna College
From Static Λ To Moving Penalties: Dynamic Regularization In Mean-Variance Portfolio Choice, Ariel Santiago
CMC Senior Theses
This thesis evaluates whether dynamically tuned weight penalties can improve high-dimensional mean-variance portfolio choice. Classical Markowitz portfolios perform poorly when the number of assets is large relative to the data, because small estimation errors in means and covariances can generate extreme, fragile allocations. A common remedy is to regularize the weights using L1 (lasso), L2 (ridge), or elastic-net penalties, but these are typically chosen once and held fixed. Using monthly excess returns on the 48 Fama-French industry portfolios from January 2010 to June 2025, this thesis compares penalized mean-variance and minimum-variance strategies under long-only and long-short constraints, with and without …
Towards Developing A Career Technology Fit Framework And Analyzing Its Influence On Work-Related Outcomes Among It Professionals,
2026
Indian Institute of management Nagpur
Towards Developing A Career Technology Fit Framework And Analyzing Its Influence On Work-Related Outcomes Among It Professionals, Gunjan Tomer
Journal of International Technology and Information Management
With growing attrition rate and significant demand for skilled IT professionals, the importance of studying their behaviour has become important for both academia and industry. Despite ample amount of research, there is still a gap between theory and practice. Based on our qualitative study conducted on Indian IT professionals we propose that technology allocation might contribute in understanding the behaviour of IT professionals. We found that IT professionals evaluate the technology allocated to them based on their individual career motives. This evaluation, either positive or negative, influences their job outcomes. Further, we explored the factors that make a technology preferable …
High Technology And The Developing State: The Arrival Of Supercomputers In India,
2026
Quinnipiac University
High Technology And The Developing State: The Arrival Of Supercomputers In India, Ramesh Subramanian
Journal of International Technology and Information Management
While India has made vast strides in information technology in the last few decades, its success is mainly attributed to its software, rather than its hardware sector. In fact, India’s attempts at developing computer hardware that can match international standards have largely been unsuccessful. A notable exception is its development of a series of supercomputers that match and exceed many international standards. This paper looks at an interesting period in India’s computing history – namely the 1980s and 1990s – focusing on its development of an indigenous supercomputer. During that period, supercomputers were thought to be the sole privy of …
Responsible People Analytics For Remote-Work Decisions: A Machine-Learning Benchmark For Classifying Perceived Productivity,
2026
CSU San Bernardino
Responsible People Analytics For Remote-Work Decisions: A Machine-Learning Benchmark For Classifying Perceived Productivity, Ruth Menjivar, Nima Molavi, Narges Mashhadi Nejad
Journal of International Technology and Information Management
This study examines whether employee-perception survey data can support responsible people-analytics decisions about remote-work productivity. Using the public New South Wales (NSW) Remote Working Survey 2021 (N=1,512), the study benchmarks statistical and machine-learning classifiers for self-reported perceived productivity classes (same, less, or more productive when working remotely relative to onsite work), not objective output, under default, class-weighted, and resampling protocols. Main evidence comes from 5×5 repeated stratified cross-validation using macro F1 and balanced accuracy with fixed model specifications. Class-balanced separability is modest. Random Forest, CatBoost, and LightGBM form a leading cluster with overlapping confidence intervals (macro F1 ≈0.51–0.52). Affective/well-being items, …
The Value Of Personal Data Ecosystems: A Flemish Media Sector Case Study,
2026
Ghent University
The Value Of Personal Data Ecosystems: A Flemish Media Sector Case Study, Maarten De Mildt, Melanie Verstraete, Sofie Verbrugge, Didier Colle
Journal of International Technology and Information Management
Personal Data Stores (PDSs) have been proposed as a privacy-preserving approach to data sharing that increases individual control over personal data while enabling new forms of cross-organizational collaboration. This collaboration leads to the emergence of Personal Data Ecosystems (PDEs). Despite growing interest in PDEs, limited research has examined how the organizational and economic barriers identified in prior studies manifest in practice. This paper investigates these challenges through a case study of the Flemish media sector within the Solid4Media project, which explores the use of PDSs to support data sharing and personalization across media organizations. Using a qualitative research design, data …
Too Warm To Win Big? Unpacking The Backer Dynamics Behind Female Crowdfunding Success Using A Warmth And Competence Perspective,
2026
James Madison University
Too Warm To Win Big? Unpacking The Backer Dynamics Behind Female Crowdfunding Success Using A Warmth And Competence Perspective, Dan Liu
Journal of International Technology and Information Management
While crowdfunding is often heralded as a democratized funding avenue that empowers women with higher success rates, this study reveals a more nuanced picture of gender dynamics. The Stereotype Content Model suggests that women are often perceived as warmer but less competent. Using a large dataset from Kickstarter, we find that female-led projects can attract more backers, likely due to warmth-driven appeal, but receive smaller average contributions, potentially due to concerns about risk linked to lower perceived competence. However, the total funding raised by female-led campaigns is comparable to that of male-led ones, showing no clear advantage or disadvantage. This …
