Operations and Supply Chain Management Commons^™

Introduction To Jbb Volume 33 Number 1, Muhammad Ramaditya

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

No abstract provided.

Navigating Geopolitical Disruptions: Adaptive Strategies For The Agri-Food Sector, Barbara H. Skudrzyk

Dissertations

This study explores how Polish food supply chain stakeholders enhance global resilience in response to geopolitical disruptions. Focusing on the geopolitical conflict in Ukraine, this dissertation explores its effects on Poland’s agri-food supply chain and the adaptive strategies employed to foster resilience. The research aims to pinpoint and analyze the most significant operational risks within Polish agri-food supply chain stakeholders. This study explores how risks impact key areas of the supply chain, given their central role in food security and economic stability, and evaluates how well current strategies mitigate disruption and build resilience. Ultimately, this work develops a comprehensive framework …

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 #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.

Meeting Battery Electric Vehicle Demand With A Focus On Throughput Capacity Across The Transport Nodes In The Upstream Cobalt Supply Chain, Nicholas J. Visconti

Dissertations

This study assesses whether cobalt transport capacity in sub-Saharan Africa is sufficient to support projected battery electric vehicle (BEV) demand under the Paris Accord. Using open-source data from ArcGIS, the Highway Capacity Manual, and the World Bank, the analysis applies a simplified linear programming approach to estimate the maximum throughput of the primary transport corridor connecting the Democratic Republic of the Congo to the Port of Durban. The model identifies significant constraints along the Rutenga-to-Beitbridge segment, reducing network capacity to an estimated 42,494 tons of ore per day. When converted to refined cobalt, this capacity falls well short of the …

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 …

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 …

Heartbeats: Sustainable Practices In Business, Natalie Pham, Shareef Awadallah, Lily Lisco, Logan Blissenbach, Nikolaos Verginis

Williams Honors College, Honors Research Projects

HeartBeats Co. LLC is a premier audio and software technology brand that brings renewed character and performance to a stagnant space, revolutionizing the listening experience by engineering a digital music platform and headphones that possess distinct style and exceptional performance. While our team identifies and tracks trends in the market, we strive to establish market trends rather than to follow them. We are a company founded on innovation, redefining the music streaming market by combining the importance of wellness with the latest audio and software technologies and innovative functionalities. This document outlines a ten-year plan for efficient and impactful scaling, …

The Role Of Ict In Enhancing National Logistics Performance And Economic Productivity, Jin Ho Kim

Journal of International Technology and Information Management

This study sheds light on the transformative impact of Information and Communication Technology (ICT) on national productivity via logistics performance. By distinguishing between mobile and wired Internet speeds, the research demonstrates how these technologies influence logistics performance and, in turn, national productivity across different economic contexts. The findings reveal a nuanced relationship between ICT and logistics performance, with mobile ICT playing a more significant role in developing countries due to its accessibility and cost-effectiveness. In contrast, developed countries benefit from a balanced integration of both mobile and wired ICT. Moreover, the study highlights the mediating role of logistics performance in …

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 …

A Holistic Approach To Country Branding: Examining A Master Brand And Sub-Brand Framework, Musa Pinar, Aycan Duran Tekoglu, Tulay Girard

Atlantic Marketing Journal

Recently, nation branding has drawn the attention of policymakers worldwide, as nations recognize its strategic importance in achieving and sustaining success in the global competitive landscape. This study provides a conceptual framework based on master brand and sub-brand architecture to examine country branding holistically by integrating macro and micro perspectives, country brand equity, and their effects on consumer preferences. The specific objectives are to 1) identify the dimensions of master brand, sub-brand, and country brand equity and develop reliable and valid measurement scales for each dimension, and 2) develop a conceptual framework that integrates the master brand, sub-brand, and brand …

Slow Fashion Behavior In Young Consumers, Melissa Clark

Atlantic Marketing Journal

The purpose of this research is to better understand the gap between Generation Z’s (Gen Z) knowingness and attitude toward sustainable clothing and their behavior including repair and disposal. A theoretical model was created based on the known relationships among Knowledge-Attitude-Behavior (KAB), specifically considering environmental sustainability knowingness (ESK), environmental sustainability attitude (ESA), and slow fashion behavior (SFB) while extending it with the addition of repair and disposal. The data were collected via online survey of consumers identifying as Gen Z and analyzed via regression analysis in SPSS. The findings suggest that the established construct relationships (ESK, ESA, and SFB) held …

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.

Bridging Mission And Execution: Integrating Participatory Design In Early-Phase Mission Engineering For Stakeholder Alignment And Mission Clarity, Rafi Soule

Knowledge and Creativity Expo

This research examines mission framing during the early phase of Mission Engineering. Stakeholder interpretations diverge under ambiguity. Interoperability constraints are often not surfaced early. These conditions reduce mission clarity and weaken mission-to-system mapping readiness. The study integrates a participatory design-inspired, artifact-first workflow with RAG-enabled retrieval from a closed corpus to support evidence-grounded reasoning and traceable citations.

Phase 1 uses an online survey to establish baseline patterns in practice (N = 86). Shared understanding is positively associated with mission clarity (r = 0.60, p < 0.001). Phase 2 uses a time-bounded comparative workshop with two conditions. Expert reviewers rate mission statement quality higher for the participatory design condition (mean 3.5) than the traditional condition (mean 2.8). Technical feasibility ratings are similar across conditions. Phase 3 demonstrates RAG-enabled, closed-corpus, retrieval-supported traceability using the Referencer tool. It is reported as a proof-of-concept for evidence-grounded rationale and auditability, and as a pathway …

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 …

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 …

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 …

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 …

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 …

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 …