Operations and Supply Chain Management Commons^™

Generative Ai Adoption And Solvers' Popularity On Supply-Driven Crowdsourcing Platforms: The Dual Role Of Price Signals, Zimeng Zhu, Carol Hsu, Fiona Fui-Hoon Nah, Na Liu

Research Collection School Of Computing and Information Systems

Purpose – We investigate the effect of solvers’ adoption of Generative AI (GenAI) on their popularity in a supply-driven crowdsourcing platform. We also examine the impact of price signals as well as their heterogeneous impact based on the solvers’ membership duration on the platform. Design/methodology/approach – Our analysis focuses on solvers who adopt GenAI for design-related gigs on the supply-driven crowdsourcing platform. By combining propensity score matching (PSM) with multi-period difference-in-differences (DID), we examine how GenAI adoption impacts solvers’ popularity and how price signals affect this main effect. Findings – Our findings reveal that solvers who adopt GenAI tend to …

Learning The Trade-Off: Simulation-Based Sustainability Education In Marketing, Roisin Vize

Case studies: Digital Education

Digital transformation is reshaping higher education, yet gamified business simulations remain among its most widely used and least examined tools. This case study reports on the use of the HUBRO Sustainable Marketing Simulation, a Sage resource, in Marketing 1, a core first-year undergraduate module at TU Dublin. Sustainability in business education is typically reserved for final-year, postgraduate or elective modules. This intervention instead embedded Environmental, Social and Governance (ESG) principles and balancing the triple bottom line from the first year of a four-year degree. Across two cohorts, 51 teams of three to four students ran a fictional jetpack venture over …

Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Crop Production, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

Motivated by the fresh produce industry, this paper studies a farmer’s joint cultivation and fertilizer (a representative farm input) application decisions facing uncertainties in yield, crop price, and harvesting cost where the latter two are yield dependent and yield is stochastically increasing in the fertilizer application rate. We develop a two-stage stochastic model of a farmer growing a commodity crop in a single season to maximize the expected profit. We then use the model to evaluate the optimal expected harvest volume (a measure of crop production). Our analytical analysis is complemented with numerical experiments calibrated to data. We characterize how …

Robust Generator Maintenance Schedule For Frequency-Secure Power Systems, Yang Yang, Qiuzhuang Sun, Jimmy Chih-Hsien Peng, Loon Ching Tang, Zhisheng Ye

Research Collection College of Integrative Studies

Problem definition: Normal operations of a power system require that alternating current frequency be maintained at a nominal value, for example, 50 Hz, whereas severe deviation from this value due to power deficiencies can cause cascading generator trips. Maintaining the frequency requires adequate inertia and frequency regulation reserve, which are primarily provided by online generators. In daily operations, generators due for preventive maintenance must be taken offline, and thus an improper maintenance schedule could jeopardize frequency security, as exemplified by the recent Texas power blackout. However, this natural nexus between frequency security and maintenance has been over-looked largely in the …

Holistic Strategy For Sustainable Supply Chains: Integrating The Purchasing Portfolio Matrix, Supplier Relationship Management, And Life Cycle Assessment, Farida Pulansari, Dean Tirkaamiana, Aulia Dita Ananda Lestari, Fadillah Kurniasari, Indhira Prameswari Susanto, Ferry Jie

Research outputs 2022 to 2026

This study proposes a holistic strategy for sustainable supplier management by integrating the Purchasing Portfolio Matrix (PPM), Supplier Positioning Matrix (SPM), and Life Cycle Assessment (LCA) within the Indonesian furniture industry. The study aims to enhance supplier segmentation and decision-making by incorporating economic, relational, and environmental dimensions into a unified framework. A case study approach is employed using the Best–Worst Method (BWM) to evaluate 74 suppliers, followed by portfolio analysis and environmental impact assessment. The results indicate that the majority of suppliers are concentrated in low-risk but high-profit categories, highlighting their strategic importance in the supply chain. The LCA results …

The Structural Limitations Of Mining Output Growth In Nevada, Mckinley Brown, Emma Kitchen

Undergraduate Economics Working Paper Series

This study compares short and long trends in Nevada to the production output within the mining industry. Nevada produces around 70% of the United States gold and about 15% of the world's critical minerals. From its position as one of the most resource rich mining regions globally to its emergence as a growing economic hub, mining played a central role in Nevada's economy. However, despite the industry’s importance, Nevada still faces inefficiencies in production output due to insufficient attention to key inputs such as labor, infrastructure, technology, and energy resources.

From Trees To Treewidth: Inventory Management In Complex Supply Chain Networks, Philippe Blaettchen, Andre Calmon, Georgina Hall, Mohit Tawarmalani

Research Collection Lee Kong Chian School Of Business

We propose an exact solution approach to the Guaranteed Service Model (GSM), one of the most widely applied models for optimizing safety stock placement in supply chain networks. Based on linear programming (LP), our approach handles any directed acyclic network and any cost function that depends on a stage's incoming and outgoing service times. It scales polynomially in the number of nodes n in the network, and exponentially in its treewidth, which quantifies how "tree-like" a network is, and can be much smaller than n. This contrasts with existing approaches, which scale exponentially in n. The proof of exactness of …

Struggling In A Man’S World: Moderated And Mediation Model For Women To Stay In The Logistics Industry, Abdul Hafaz Ngah, Nurul Izni Kamalrulzaman, Samar Rahi, Nurul Haqimin Salleh, Jagan Jeevan, Aamir Rashid

Publications and Research

Technological advancements have transformed the nature of work, attracting more women to challenging industries such as the logistics industry. Despite this technological advancement and progress in promoting gender equality, achieving gender parity in this industry remains stagnant. Using the extended self-determination theory, this study explores new mediating and moderating variables to identify factors influencing female employee retention in the logistics industry in Malaysia. Based on a quantitative approach and purposive sampling, 278 responses were collected from women in the logistics industry through online surveys. Most direct hypotheses were supported, and significant mediation and moderation effects were found. In addition to …

Information Sharing, Quality Management, And Firm Performance: The Mediating Role Of Supply Chain Agility, Aamir Rashid, Rizwana Rasheed, Syed Babar Ali

Publications and Research

The fashion industry’s business is becoming increasingly complicated and active. This industry is expected to be highly competitive, particularly in the retail sector. Therefore, this research aims to examine the impact of supply chain information sharing and quality management on firm performance, with supply chain agility as a mediating variable, in the Asian fashion industry. A total of 169 participants from the fashion sector in a developing country were surveyed. The proposed hypotheses were examined using a quantitative approach, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS to assess and validate the measurement model. The results indicate that …

Optimizing Warranty Policies For Remanufactured Products: When Should They Be Longer, Shorter, Or Identical To New Product Warranties?, Kunpeng Li, Jun-Yeon Lee

Faculty Publications

Manufacturers adopt different warranty strategies for remanufactured products, offering shorter, identical, or longer warranty periods compared to new products. However, prior research has only focused on manufacturers offering either shorter or identical warranties. In addition, the existing literature has not captured the diminishing returns of warranties, i.e., as the warranty coverage increases, its incremental benefits begin to decrease but the costs continue to increase. To address these gaps, we develop an optimization model that jointly considers pricing and warranty decisions while accounting for warranty’s diminishing effect on consumer’s willingness to pay for remanufactured products. We show that all three observed …

Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke

Research Collection Lee Kong Chian School Of Business

We study a multi-period joint capacity allocation and job assignment problem. The goal is to simultaneously allocate resources across J different supply nodes and assign jobs from I different demand origins to these J supply nodes, so as to maximize the reward for matching or minimize the cost of failure to match. We consider three features: (i) supply is replenishable after some random time, (ii) demand is random, and (iii) demand can wait and needs not be fully fulfilled immediately. Such problems emerge in many service management settings such as fleet re-positioning for car-sharing, and patient management in healthcare. We …

Uncertain Search With Knowledge Transfer, Woonghee Tim Huh, Michael Jong Kim, Meichun Lin

Research Collection Lee Kong Chian School Of Business

We consider a sequential search over a group of similar alternatives. The individual value of an alternative contains two components, an observable utility and an idiosyncratic value. Observable utilities share an unknown population distribution, which captures the similarity across the alternatives and allows for knowledge transfer within the group. Once a decision maker encounters an alternative, its utility is revealed immediately, whereas the idiosyncratic value is unobservable and needs to be learned by sampling. The goal is to select an alternative with the highest individual value while accounting for the sampling and search costs. A novel feature of this problem …

Machine Learning-Enriched Distributionally Robust Optimization And Hybrid Decomposition To Joint Optimization Of Transportation Hub Network Design And Pricing, Seyed Ashkan Hosseini Shekarabi, Reza Kiani Mavi, Flavio Romero Macau, Ali Papi, Ashkan Teymouri

Research outputs 2022 to 2026

Freight transportation within the hub-assisted systems enhances economies of scale for carriers by consolidating logistics operations through central hubs, thereby increasing efficiency and reducing costs. Optimally designing such transportation systems creates competitive advantages for carriers, enabling them to reduce shipping prices and, consequently, capture a larger share of the market from shippers’ demand. This research addresses the joint optimization of intermodal transportation hub network design and pricing decisions under price-dependent and uncertain demand, with the objective of maximizing carrier's profit. Since the uncertain shipping demand follows a nonlinear relation with price, the carrier not only optimizes shipping network design but …

Eliciting Supplier Cooperation For Value Chain Decarbonization: A Field Experiment With Smallholder Farmers In India, Sukti Ghosh, Jasjit Singh

Research Collection Lee Kong Chian School Of Business

Many firms are pledging to reduce greenhouse gas emissions across their value chains. However, this requires their suppliers to also adopt more climate-friendly practices for decarbonization. This can involve addressing gaps in not only the suppliers’ ability but also their willingness to adopt such practices, which can be challenging if the suppliers perceive the practices as risky or potentially detrimental to their economic well-being. We examine the effectiveness of relational investments to help mitigate this challenge, arguing that relational investments can serve as a signal of the firm’s commitment towards joint value creation. In a field experiment conducted with supplier …

Brief #1: Collaborative Aggregation & Marketing Of Local Farm Food: A Qualitative Analysis Of Farmers' Collaboration Strategies, Evan England, Rachel Filippone, Hannah Stokes-Ramos, Cindy (Luyue) Zheng, Olivia Burton, Analena Bruce

Food Practice Research

This report presents research findings from a comparative case study of four Collaborative Aggregation and Marketing Models: Local Harvest, a cooperative non-profit, farmer-owned, and certified organic CSA, Three River Farmers Alliance, an online food hub and regional distributor, Vernon Family Farm Store, an on-farm, year-round store that aggregates from local farms, and Fresh Start Farms, a food hub, farmers’ market, and CSA operated by the nonprofit Organization for Refugee and Immigrant Success.

Understanding Supply Chain Innovation, Kenneth B. Kahn, David P. Cook

Marketing Faculty Publications

Purpose – Supply chain innovation (SCI) represents a complex construct, capturing the interest of practitioners and researchers alike. There is no commonly accepted definition for the term, field research on the construct appears to be highly fragmented and industry examples demonstrate diverse ways in which it occurs.

Design/methodology/approach – Reviewing definitional literature and top winners of the Council of Supply Chain Management Professionals’ Supply Chain Innovation Award, this manuscript identifies salient points about SCI to guide continued research and industry practice.

Findings – Seven points are made about SCI. These pertain to its multiple definitions, technology, relationships, performance outcomes, conceptual …

Choice-Based Crowdshipping For Next-Day Delivery Services: A Dynamic Task Display Problem, Alp Arslan, Firat Kilci, Shih-Fen Cheng, Archan Misra

Research Collection School Of Computing and Information Systems

This paper studies integrating the crowd workforce into next-day home delivery services. In this setting, both crowd drivers and contract drivers collaborate in making deliveries. Crowd drivers have limited capacity and can choose not to deliver if the presented tasks do not align with their preferences. The central question addressed is: How can the platform minimize the total task fulfilment cost, which includes payouts to crowd drivers and additional payouts to contract drivers for delivering the unselected tasks by customizing task displays to crowd drivers? To tackle this problem, we formulate it as a finite-horizon Stochastic Decision Problem, capturing crowd …

First Portfolio – Mngt 475: Business Strategies, Lisa Tschauner

UNL Faculty Course Portfolios

MNGT 475: Business Strategies serves as the undergraduate strategic management capstone course in the University of Nebraska–Lincoln College of Business. The course integrates knowledge from accounting, finance, economics, marketing, management, supply chain management, analytics, and entrepreneurship while providing students with opportunities to apply strategic frameworks to authentic business challenges. This portfolio documents the design, implementation, assessment, and continuous improvement of the course, with particular attention given to experiential learning and the comparison of two instructional models: a traditional case-study project and a real-world industry-partner consulting project. Drawing upon Kolb’s Experiential Learning Theory, self-reflection, self-efficacy, and teamwork constructs, the portfolio examines …

Do Major Customers Affect Firms' Environmental, Social And Governance Activities?, Feng Dong, John A. Doukas, Stephanie Walton, Rongyao Gloria Zhang, Yiyang Zhang

Finance Faculty Publications

We examine the role of major customers in shaping firms' environmental, social and governance (ESG) practices. We find that firms with major customer relationships undertake fewer ESG activities compared to those without such ties. The association is attenuated when institutional ownership is high, firms are less diversified, customers exhibit greater bankruptcy risk and lower switching costs and during periods of elevated equity market sentiment. Taken together, our findings highlight that reliance on a concentrated customer base can weaken firms’ incentives to engage in ESG practices, with important implications for supply chain sustainability.

Brief #2: Collaborative Aggregation & Marketing Of Local Farm Food: A Qualitative Analysis Of Customer Relations Strategies, Evan England, Rachel Filippone, Hannah Stokes-Ramos, Cindy (Luyue) Zheng, Olivia Burton, Analena B. Bruce

Food Practice Research

No abstract provided.

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 …

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 …

The Role Of Agricultural Biomass In Supply Chain Decarbonization, Ruxia Lyu, Sobhan Arisian, Zhitang Li, Mohammad S. Taskhiri, Reza Kiani Mavi

Research outputs 2022 to 2026

To achieve supply chain decarbonization, environmentally conscious manufacturers are transforming their energy infrastructure. While certain manufacturers are adopting a pure bioenergy strategy in their production processes, others are opting for a hybrid energy approach that combines traditional energy with bioenergy. This choice is often influenced by limitations in land capacity and the developmental stage of biomass conversion technologies. This paper introduces a game-theoretic model that explores the optimal approach to achieving supply chain decarbonization by strategically selecting energy portfolios. Our findings reveal that in scenarios where the market size is small, manufacturers tend to adopt a hybrid energy strategy, particularly …

How Supply Networks Influence Sustainable Innovation: Evidence From Ghana's Public Works Procurement, Peter Adjei-Bamfo, Hadrian Geri Djajadikerta, Kerry Brown, Ferry Jie, Reza Kiani Mavi, Alain Neher

Research outputs 2022 to 2026

Recent environmental and sustainability standards in procurement increase short-term production and operational costs to suppliers, which are often recouped by charging price premiums for innovative solutions. However, public buyers are less likely to pay such price premiums, resulting in a disincentive among suppliers to bid for innovation (unique) contracts. This article examines how innovation procurement stimulates network emergence to mitigate innovation costs and facilitate suppliers' sustainable innovation capacity. We inductively analyse interview responses, observations, archival data and modified Delphi discussions with technical experts involved in innovation-oriented public works procurement projects (i.e., building, water and road infrastructure) in Ghana. Our findings …

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …

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 …

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 …

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 …

China’S Influence Over The Mining Industry In Africa, Safa M. Altamimi, Reda Amer

Undergraduate Research Symposium

How much influence does China have over the international supply of minerals from Africa? The purpose of this research is to study China’s involvement in Africa’s mining industry and analyze its impact on US economic interests. China has traded and invested in many mining sites across Africa; However, I will be focusing on DRC, Zambia, and Zimbabwe for my research. Using ArcGIS pro tools, I will create and analyze a map that contains information about mineral deposits and facilities.

The Loop That Eats Itself: Fast Fashion And The Myth Of Accessible Sustainability, Christie Westby

Sustainable Supply Chain Management

This chapter examines fast fashion as a self-reinforcing system driven by speed, consumption psychology, and misaligned incentives, arguing that true sustainability requires slowing supply chains and redesigning governance rather than simply buying “better” products.