Digital Commons Network^™

Burnout And Engagement Among Electric Reliability Compliance Professionals: A Sequential Exploratory Mixed-Methods Study Using A Job Demands–Resources Secure Delphi Method, Michael Ward Dalebout

Dissertations

Purpose: The purpose of this sequential exploratory mixed-methods study was to identify key job demands and resources experienced by electric reliability compliance professionals, examine their relationships with burnout and work engagement, and interpret the findings using the Job Demands–Resources (JD–R) framework. Methodology: The study used a three-round Job Demands–Resources Secure Delphi (JSD) mixed-methods design. Round 1 reviewed, refined, and expanded a preliminary inventory of job demands and resources. Round 2 prioritized the resulting constructs through importance ratings and participant feedback. Round 3 surveyed 48 electric reliability compliance professionals using the finalized 10 job demands and 10 job resources, the Oldenburg …

Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury

Dissertations

The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …

Identifying Industry-Preferred Automation Software In Engineering: An Indeed-Based Analysis To Inform Engineering Technology Curriculum Design, Triet Minh Phan, Collins Okafor, Winifred Okafor, Devang Mehta, Mohsen Souissi, Jenora Waterman, Connie Mayberry, Misty Thomas, Orlando Ayala, Angie Price, Maurizio Manzo

Engineering Technology Faculty Publications

In the evolving field of automation engineering, staying aligned with industry software demands is critical to preparing graduates for the modern workforce. This study investigates the prevalence of leading industrial automation platforms—Rockwell / Allen-Bradley (RSLogix / Studio 5000), Siemens (TIA Portal / Step 7), and Schneider Electric (EcoStruxure / Unity Pro)—across job postings collected from Indeed using the keyword "automation engineering." The research compiles a structured dataset of job postings with seven fields: ID, Job Title, Organization, Rockwell / Allen-Bradley, Siemens, Schneider Electric, and Posting URL. Each entry is manually coded to indicate whether the listed software platforms are mentioned, …

Beyond The Stream: Valuing Music Catalogs As An Alternative Asset Class, Amelia Jade Magay

Honors Theses and Capstones

This thesis builds a quantitative valuation framework for music catalog transactions and tests its limits systematically. The goal is not to produce a formula that perfectly prices every deal. The goal is to identify where streaming-based financial analysis is a useful underwriting tool, where it breaks down, and what categories of value investors appear to be pricing beyond publicly available streaming data.

Infusing Authenticity Into A Service-Learning Program: Examining Long-Term Impacts On Professional Development, Mohan Yang, Jonathan Harbor, Belle Li, Jacqueline Nikiema

Educational Leadership & Workforce Development Faculty Publications

Purpose

The employability of postgraduate students remains a critical concern in higher education, as postgraduate programs, particularly at the doctoral level, traditionally focus on disciplinary and research competencies. This leads to a lack of adequate preparation for employment, especially for non-academic roles. This study examines the long-term impacts of an authentic service-learning program on trainees' professional lives, with a particular emphasis on academia. This addresses the need for insight into the long-term impacts of initiatives that enhance postgraduate programs with opportunities for students to acquire transferable competencies prior to entering employment.

Design/methodology/approach

We adopted a narrative inquiry approach to investigate …

Systematic Literature Mapping: Integrated System Of Logistic Distribution For Island, Eka Suswaini, Mochammad Agung Wibowo, Ferry Jie

Research outputs 2022 to 2026

Purpose: The study aims to identify and compare various methods used to optimize supply chain distribution, with a focus on uncovering novel approaches. It particularly addresses the gap in logistics distribution models tailored for island environments, proposing the development of an integrated information system using genetic and memetic algorithms to handle uncertainties like weather and vessel availability. Design/methodology/approach: A Systematic Literature Mapping (SLM) approach was adopted. The K-Chart method was applied to categorize conceptual strategies and identify research gaps. A case study was also included to analyze logistical challenges in island settings, incorporating real data variables like transportation schedules and …

Designing And Evaluating Quality Transdisciplinary Work-Integrated Learning: Insights Into Practice, Denise Jackson, Claire Lambert, Sonja Coetzee

Research outputs 2022 to 2026

Higher education’s role in fostering innovation and enacting social change is increasingly important. Transdisciplinary Work-Integrated Learning (TWIL) offers opportunities to prepare students to address societal issues by transcending disciplinary boundaries and collaboratively tackling real-world global challenges. While extensive literature exists on established WIL models, research on the critical aspects of designing, implementing and evaluating impactful TWIL activities remains scarce. This paper draws together insights from 15 TWIL academics across 14 Australian universities, highlighting important design elements such as training for small group collaboration, open-ended projects, design thinking, sustained mentorship and reciprocal partnerships. Emerging challenges related to online delivery, teamwork, scalability, …

Practising Digital Product Passport For Circular Supply Chain: Ecosystem Orchestration Perspective, Martin Agyemang, Daniel Faibil, Richard Asante, Cristina Iodice

Research outputs 2022 to 2026

Digital product passports (DPP) are emerging as an important tool to support industries in realising circular supply chain (CSC) practices. However, small and medium-sized enterprises (SMEs) remain constrained by various challenges in implementing DPP. Therefore, using social practice theory and ecosystem orchestration perspective, the study identifies factors essential for DPP-enabled CSC implementation by SMEs. The study proposes an actionable framework to classify and operationalise these factors. We collected data from managers and analysed it using the Best–Worst Method and Fuzzy-DEMATEL to understand the interdependence, coordination and temporal adaptation of the factors. The findings show that material factors are particularly salient …

Selective Human Resource Practices, Psychological Safety Climate And Employee Wellbeing, Yvonne Brunetto, Matthew J. Xerri, Geremy Farr-Wharton

Research outputs 2022 to 2026

Purpose: Engineers and healthcare professionals perceive higher levels of stress compared with the general population, suggesting that past human resource management (HRM) systems have failed to manage them appropriately. This study examines whether psychosocial safety climate (PSC) acts as a psychological conduit in translating HRM practices and mediating their impact on wellbeing using the common good HRM (CGHRM) and Conservation of Resources theoretical frameworks.

Design/methodology/approach: Data were collected using surveys collected at two points – one-month apart, and then analysed using structural equation modelling (Analysis of Moment Structures) to manipulate survey data from 300 matched employees.

Findings – The variance …

Diffusion Of The Internet And Digital Divide In Post-Soviet Countries, Behrooz Asgari, Cosmos Amoah, Sudipa Majumdar

DLSU Business & Economics Review

This study explores the diffusion process of the internet in countries that were previously known as the U.S.S.R. and are currently divided into 15 countries. Utilizing the S-shaped logistic curves, this paper forecasts future trends in internet diffusion in these economies. Data varied in range, with each country having different time frames for similar variables. The logistic curves for each country determined the length of time of internet diffusion, maximum carrying capacity, and different stages of the diffusion process, namely, emerging, growth, maturity, and saturation. The results show that all countries have exceeded the emerging and growth phases, with 13 …

Antecedents Of Employee Service Innovation Behaviour Through The Resource-Based View, Ataul Karim Patwary, Md Sazzad Hossain, S. Mostafa Rasoolimanesh, T. Ramayah

Research outputs 2022 to 2026

This study applies the Resource-Based View (RBV) to explore how strategic, tactical, and internal green marketing orientations foster employee service innovation behaviour in the hospitality sector. It examines green trust and responsibility feelings as key internal resources and investigates their mediating roles. Using PLS-SEM analysis on 778 responses from Malaysian hotel employees, the findings indicate that internal green marketing orientation significantly enhances green trust and responsibility feelings, which, in turn, positively influence employee service innovation behaviour. By integrating psychological constructs into RBV, this research offers new insights into the role of green marketing in driving organizational sustainability. However, the study …

Artificial Intelligence Agents And Agentic Systems In Hospitality And Tourism: Challenges, Opportunities And Research Agenda, Yogesh K. Dwivedi, Mohamed Youssef Ibrahim Helal, Ibrahim A. Elgendy, Mousa Ahmed Albashrawi, Laurie Hughes, Mazen Shawosh, Vincent Dutot, Il Jeon

Research outputs 2022 to 2026

Purpose: Artificial intelligence (AI) agents and agentic systems have the potential to transform the tourism and hospitality (T&H) industry by automating existing processes and improving operational efficiency. This viewpoint paper aims to explore and analyze the potential opportunities and challenges, and establish a comprehensive research agenda for developing AI agents and agentic systems within the T&H industry. Design/methodology/approach: This article comprehensively analyzes current literature, user sentiment analysis and market trends assessment on AI agents and agentic systems. It identifies critical areas where these technologies can transform the T&H industries, providing valuable insights into this emerging field and its potential for …

Generative Artificial Intelligence (Genai) In Procurement And Supply Chain Management: Applications, Opportunities And Challenges, Vinay Singh, Laurie Hughes, Mousa Ahmed Albashrawi, Il Jeon, Yogesh K. Dwivedi

Research outputs 2022 to 2026

Purpose: This article aims to explore the transformative potential of generative artificial intelligence (GenAI) in procurement and supply chain management (SCM), with a focus on its practical applications, strategic implications and integration challenges. Design/methodology/approach: Adopting a conceptual approach, this article presents the authors’ views and arguments, supported by a review of existing literature and informed by insights from discussions with industry experts. The discussion in this conceptual article is anchored in the supply chain operations reference model. Findings: This research addresses critical questions regarding the practical and strategic impacts of GenAI, emphasizing its ability to simulate scenarios, deliver real-time insights …

Tourism Destination Mobile Applications: An Ai-Human Loop Analysis And Future Research Programme, Arghavan Hadinejad, Naser Pourazad, Lara Stocchi, Violetta Wilk

Research outputs 2022 to 2026

Despite the rise in destination mobile applications (apps) and their significance in the tourism sector, there remains a notable dearth of critical assessments of knowledge on the topic, which is necessary to guide future academic and industry endeavours. To bridge the gap, this research conducts a systematic review to synthesise scholarly knowledge on tourism destination mobile apps. The analysis reveals topical clusters including prototyping and scoping, consolidation, and forecasting and further technological advancements between 2009 and 2023. The existing scholarship is predominantly quantitative and atheoretical, with the Technology Acceptance Model being the most frequently applied framework. The findings reveal four …

Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …

Navigating The Deep Features Of Change: A Dynamic Approach For Skill Development In The Construction Industry, Keyao Li, Mark A. Griffin, Heap Yih Chong

Research outputs 2022 to 2026

Purpose: Digitalisation promises new levels of productivity and efficiency in construction but requires a well-equipped, skilled workforce to meet future demands. Beyond attracting skilled workers, the industry must understand future skill requirements. This study addresses this need by developing a skill framework that defines key skill levels and patterns in response to evolving demands. Design/methodology/approach: A mixed-methods approach with three consecutive analyses was adopted. First, a theoretical analysis developed a conceptual framework based on work and role performance theories. Second, a scoping review and descriptive analyses provided quantitative insights into the skills covered in current literature. Finally, identified skill groups …

Corporate Social Responsibility In Iranian Knowledge-Based Companies: Exploring Barriers And Solutions, Mansoureh Mahdizadeh, Mehran Nejati

Research outputs 2022 to 2026

Purpose: This study aims to understand the barriers to corporate social responsibility (CSR) in Iranian knowledge-based companies and explore possible solutions to address them. Design/methodology/approach: This study used a qualitative research design, comprising semistructured in-depth interviews with key informants. Findings: Study findings show that the most important barriers to CSR in Iranian knowledge-based companies include insufficient financial resources, lack of competition between companies, lack of CSR importance, lack of people’s shareholding of most companies, lack of structure, lack of awareness, knowledge and information on CSR, lack of institutionalization of CSR concept in organizational culture, lack of management commitment, lack of …

The Nature Of Agency: Designing Agentic Systems Using A Biomimetic Lens, Tegwen Malik, Laurie Hughes, Yogesh K. Dwivedi, Natalie De Mello, Igor Barahona, Il Jeon

Research outputs 2022 to 2026

Purpose: This paper aims to explore how biomimetic principles can inform governance models for agentic artificial intelligence (AI) systems, autonomous, adaptive entities that challenge traditional oversight frameworks. It argues that nature-inspired governance offers a dynamic alternative to static, compliance-based models. Design/methodology/approach: This study adopts a conceptual viewpoint approach. It synthesizes literature on AI governance, systems theory and biomimicry, applying thematic analysis to existing frameworks and mapping identified gaps to five natural principles: symmetry, fractals, cymatic feedback, self-organization and phase transitions. Findings: Current governance frameworks lack mechanisms for managing emergent behaviors and distributed agency in agentic AI. The proposed biomimetic lens …

Exploring The Las-Vict Principle Of Cryptocurrency Exchanges: A Belief–Action–Outcome Perspective, Cheuk Hang Au, Kevin K.W. Ho, Po Hsu Shieh, Kris M.Y. Law

Research outputs 2022 to 2026

Purpose – Cryptocurrency exchanges operate in a hyper-volatile, “wild west” environment, fundamentally challenging existing theories of FinTech success that were built for stable markets. The literature lacks a framework to explain how firms thrive amidst such extreme regulatory ambiguity and institutional distrust. This study resolves this theoretical puzzle by developing a new principle for success in nascent, high-stakes digital ecosystems. Design/methodology/approach – We conduct a multiple-case study of 14 leading cryptocurrency exchanges. Using the belief–action–outcome (BAO) logic as an analytical guide, we deconstruct the strategic actions that separate successful exchanges from failures, synthesising them into a new, empirically grounded framework. …

Csr Disclosure In Family-Controlled And Politically Connected Firms: Do Audit Committees Matter?, Md Harun Ur Rashid, Habib, Rashid Zaman

Research outputs 2022 to 2026

Purpose – This study aims to investigate whether audit committees shape the corporate social responsibility (CSR) disclosure practices of family-controlled and politically connected firms. Specifically, this study examines the extent to which audit committees mitigate the tendency of these firms to withhold CSR information and enhance transparency in an emerging market context. Design/methodology/approach – This study analyses 1, 108 firm-year observations from 140 non-financial firms listed on the Dhaka Stock Exchange over the period 2013–2023. To examine how family control, political connections and audit committees influence CSR disclosure. This study estimates several multivariate regression models. In addition, to strengthen causal …

The Factors Influencing Organisational Responsiveness For Sustainable Projects, Richard Hughes, Bradley Baker

Research outputs 2022 to 2026

Purpose: This study investigates how organisations respond to sustainability when it becomes a central strategic priority, particularly through project environments. The research seeks to understand the factors influencing organisational responsiveness to sustainability imperatives in projects, addressing a key gap in sustainable project management literature. Design/methodology/approach: The study employed a thematic meta-synthesis of qualitative case studies from multiple countries and different economic sectors. Using grounded theory, data were coded to identify first-order concepts, second-order themes and aggregate dimensions, culminating in the development of a conceptual model of dynamic adaptation. Findings: The analysis revealed three interrelated dimensions that shape organisational responsiveness: strategic …

Extending Social Penetration Theory To Online Brand Communities: The Impact Of Perceived Identifiability On Relational Development And Perceived Enjoyment, Stephanie Meek, Claire Lambert, Laureane Du Plessis

Research outputs 2022 to 2026

Online brand communities (OBCs) rely on members forming relationships, yet many platforms normalise anonymity. Drawing on Social Penetration Theory (SPT), this study examines whether feeling recognisable to other members (perceived identifiability) shapes relational outcomes and enjoyment in consumer-initiated OBCs. Survey data from 307 members were analysed using structural equation modelling and multi-group analysis. Perceived identifiability significantly increased members’ network ties and sense of belonging but did not directly enhance perceived enjoyment. Instead, belonging mediated the link from identifiability to enjoyment, and network ties strengthened belonging, yielding a serial indirect pathway from identifiability to enjoyment. Comparing lurkers and posters showed that …

Optimizing Subgroup Selection In Petrochemical Industries: A Robust Data Envelopment Analysis Approach For Uncertainty Management, Sadegh Niroomand, Hilda Saleh, Morteza Shafiee, Dragan Pamucar, Ali Mahmoodirad

Research outputs 2022 to 2026

This study addresses the critical challenge faced by organizations in selecting an optimal subgroup of decision-making units (DMUs). Such a selection procedure can significantly influence efficiency, profitability, and strategic development. Recognizing the limitations of existing methods in handling inexact data and incorporating managerial preferences, this study proposes a novel framework that integrates data envelopment analysis (DEA) with binary linear programming models. The model applies belief-degree–based representations of uncertainty to capture imprecise inputs and outputs. For this model, two solution approaches—namely, chance-constrained programming and expected value approaches—were developed. These approaches are suitable for real-world applications using standard optimization software. The effectiveness …

Role Of Ethical Principles And Ai Characteristics In Shaping Generative Ai Use In Higher Education And Its Impact On Academic Performance, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Noor Al-Qaysi, Nelson K.Y. Leung, Zaher Mundher Yaseen, Nor’Ashikin Ali

Research outputs 2022 to 2026

The rapid integration of Generative AI in higher education has transformed teaching and learning, yet limited research explores the factors driving its adoption and impact on academic performance. This study addresses the gap in understanding how ethical principles (fairness, accountability, transparency, accuracy, autonomy) and AI characteristics (perceived anthropomorphism, perceived intelligence) influence students’ use of Generative AI tools and their subsequent academic outcomes. The research aims to develop and test a theoretical model that integrates these factors to explain Generative AI adoption and its effect on perceived academic performance among university students. Data were collected through surveys from 318 students and …

Decoupling Sustainability And Performance: How Government Infrastructure Projects In Australia Fare On Strategic Environmental Commitments, Richard Hughes, Kerry Brown

Research outputs 2022 to 2026

Australian government organisations are pivotal in helping to meet the United Nations sustainable development goals. Yet while these organisations promote sustainability in their strategic plans, they struggle to embed these same commitments into their own infrastructure and construction projects. This study examines this persistent disconnect using the lens of strategic decoupling, which explains how organisations symbolically align with external expectations while internal practices remain unchanged. Using a two-stage qualitative design, we conducted a positivist discourse analysis of strategic artefacts from six government organisations and a theoretically informed interpretivist analysis of 30 interviews with project professionals, framed by strong structuration theory. …

Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan

Research Collection Lee Kong Chian School Of Business

The theory of platform envelopment rests on network effects as the key mechanism for value creation, which nonetheless receives mixed support for its efficacy in determining competitive outcomes. We argue that the value of network effects depends on matching quality, which is a function of platform-specific algorithm technology and market-level data-driven learning. In formalizing these conceptualizations, we analyze a model that demonstrates how an entrant with a superior algorithm technology may outcompete an incumbent possessing a user base advantage, a strategy we call “algorithm envelopment.” By considering specific characteristics of data-driven learning, our analysis leads to propositions regarding the entry …

Case Study: The Economic And Legal Challenges Moving From A Township To A City, George F. Dierberger Dr., Ibrahim Keita Dr., Cory Erickson

Journal of the North American Management Society

The paper examines the economic and legal challenges moving from a township to a municipality in the state of Minnesota. One of the authors was a member of the township board as they went through the process of educating the citizens on the risks and rewards of changing from a township to a municipality.

Maximizing Online Intersession Enrollment Through Targeted Course Offerings, Heather S. Mcmillan, Charles D. Mcallister

Journal of the North American Management Society

Abstract

Online winter intersession courses have become an increasingly important strategy for universities seeking to support accelerated student progression while generating incremental tuition revenue. This study examines ten years of winter intersession enrollment data from a public, master’s-level comprehensive university in the Midwestern United States to identify course characteristics associated with higher student enrollment. Using 12,520 individual enrollment records, the analysis focuses on course type (general education versus major requirement), course classification (lower level, upper level, blended undergraduate/graduate, and graduate), and course discipline. A series of ANOVAs and Bonferroni post-hoc tests reveal significant differences in enrollment across these dimensions, with …

Feasibility Assessment Of Energy As A Service With Third Party Ownership For Development Of Utility-Scale Solar Pv In The Consumer Goods Industry, Winda Puspadimiati, Widodo W Purwanto

CSID Journal of Infrastructure Development

Global awareness of climate change impacts has compelled the power sector to adopt renewable energy as a primary source of electricity, driving innovation in renewable energy business models. This study analyzes the feasibility of Energy as a Service (EaaS) with a Third-Party Ownership (TPO) scheme for utility-scale solar photovoltaic (PV) development in the fast-moving consumer goods (FMCG) industry. Four scenarios of utility-scale solar PV configurations under the EaaS model are evaluated: on-grid ground-mounted (OG-GM), hybrid ground-mounted (H-GM), on-grid floating (OG-F), and hybrid floating (H-F). All scenarios are developed under the assumption of utilizing the PLN grid through a power wheeling …

Moving From Feasible Solutions To Sustainable Systems In The Built Environment, Mohammed Ali Berawi, Mustika Sari, Perdana Miraj

CSID Journal of Infrastructure Development

The built environment plays a crucial role in global sustainability efforts. Buildings, infrastructure, and cities consume large amounts of energy and materials that shape social behavior, and lock in environmental impacts. Over the past two decades, research has produced a wide range of technical solutions to reduce these impacts. Renewable energy systems, energy-efficient buildings, alternative construction materials, and new construction methods are no longer experimental concepts. Many have proven technical and economic potential. Yet, real-world transformation remains slow and uneven. This gap suggests that sustainability challenges in the built environment are no longer driven by a lack of technology. Instead, …