Operations and Supply Chain Management Commons^™

Migrant Flows: Humanitarian Operational Aspects Of People In Transit, Sameer Prasad, Harish Borra, Jason Woldt, Nezih Altay, Jasmine Tata

School of Business: Faculty Publications and Other Works

Millions of workers in India who migrated to cities for employment have transited back to seek refuge in their home villages, causing disruptions in both cities and villages. This type of mass flow of migrants in transit represents a humanitarian crisis. Understanding migrant flow patterns and ways to ameliorate the conditions for migrants in transit is critical to managing the humanitarian crisis. In this study, we develop a model that examines the influence of migrant networks, inter‐organizational collaboration, and environmental uncertainty on locational advantage, which, in turn, predicts migrant flow patterns. This study contributes to the humanitarian operations management and …

Building Strength Through Collaboration: What Faith Community Nurses Need To Know, Marcia A. Potter

International Journal of Faith Community Nursing

This article is a practical guide and viewpoint narrative that offers definitions, justifications for, process steps, and a how-to checklist for Faith Community Nurses considering collaboration between multiple agencies outside of their own. The author offers simple guidelines and how-to advice on securing success, avoiding risks, and preventing costly misunderstandings between cooperating agencies when combining resources.

Chatgpt Unveiled: Unleashing Ai Magic In Online Shopping And Digital Marketing, Jianping Huang, Mark J. Sciuchetti Dr.

Atlantic Marketing Journal

This research paper explores the use of AI, specifically ChatGPT, in interactive activities within

online shopping and digital marketing. The paper examines the potential of AI-powered chatbots

to enhance customer engagement, personalization, and marketing effectiveness. Through a

literature review, case studies, and user feedback analysis, the research highlights the benefits of

AI chatbots in providing real-time assistance, personalized recommendations, and improved

customer experiences. The paper also addresses ethical and privacy concerns associated with AI

implementation and discusses future research directions. The findings are expected to suggest

that AI-powered chatbots have the potential to revolutionize online shopping and digital

marketing by …

Dynamic Scheduling With Uncertain Job Types, Zuo-Jun Max Shen, Jingui Xie, Zhichao Zheng, Han Zhou

Research Collection Lee Kong Chian School Of Business

Uncertain job types can arise as a result of predictive or diagnostic inaccuracy in healthcare or repair service systems and unknown preferences in matching service systems. In this paper, we study systems with multiple types of jobs, in which type information is imperfect and will be updated dynamically. Each job has a prior probability of belonging to a certain type which may be predicted by data, models, or experts. A job can only be processed by the right machine, and a job assigned to the wrong machine must be rescheduled. More information is learned from the mismatch, and job type …

Understanding The Big Data Analytics Deployment Gap: Operationally Leveraging Big Data Analytics Capability For Value Generation In Healthcare, Hyunmin (Dan) Shin

Electronic Thesis and Dissertation Repository

Despite the surge of big data analytics (BDA) deployments in healthcare, many organizations still struggle to successfully realize value from their investments. This has resulted in the phenomenon of BDA deployment gap, where relative to the interest and investments in BDA initiatives by the organizations, actual value generated from successful migrations of BDA models from data labs to in-practice environment deployments at the initiative level have been scarce. To leverage the growing repository of big data, organizations are required to develop the ability to collect, store, process, and analyze big data (BD); this process is referred to as big data …

‘So What If Chatgpt Wrote It?’ Multidisciplinary Perspectives On Opportunities, Challenges, And Implications Of Generative Conversational Ai For Research, Practice, And Policy, Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, Alex Koohang, Vishnupriya Raghavan, Manju Ahuja, Hanaa Albanna, Mousa Ahmad Albashrawi, Adil S. Al-Busaidi, Janarthanan Balakrishnan, Yves Barlette, Sriparna Basu, Indranil Bose, Laurence Brooks, Dimitrios Buhalis, Lemuria Carter, Soumyadeb Chowdhury, Tom Crick, Scott W. Cunningham, Gareth H. Davies, Robert M. Davison, Rahul Dé, Denis Dennehy, Yanqing Duan, Rameshwar Dubey, Rohita Dwivedi, John S. Edwards, Carlos Flavián, Robin Gauld, Varun Grover, Mei-Chih Hu, Marjin Janssen, Paul Jones, Iris Junglas, Sangeeta Khorana, Sascha Kraus, Kai R. Larsen, Paul Latreille, Sven Laumer, F. Tegwen Malik, Abbas Mardani, Marcello Mariani, Sunil Mithas, Emmanuel Mogaji, Jeretta Horn Nord, Siobhan O'Connor, Fevzi Okumus, Margherita Pagani, Neeraj Pandey, Savvas Papagiannidis, Ilias O. Pappas, Nishith Pathak, Jan Pries-Heje, Ramakrishnan Raman, Nripendra P. Rana, Sven-Volker Rehm, Samuel Riberiro-Navarrete, Alexander Richter, Frantz Rowe, Suprateek Sarker, Bernd Carsten Stahl, Manoj Kumar Tiwari, Wil Van Der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright

ISSCM Faculty Publications

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organizations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is …

Subcontracting And Rework Cost Sharing In Engineering-Procurement-Construction Projects, Zhenzhen Chen, Wanshan Zhu, Pascale Crama

Research Collection Lee Kong Chian School Of Business

Infrastructure development projects are overwhelmingly managed through engineering–procurement–construction (EPC) contracts, which allow a project end user to shift all project risks to a contractor. Accordingly, the International Federation of Consulting Engineers recommended a contract template based on a lump-sum contract between the end user and main contractor. However, EPC projects often suffer from quality issues due to moral hazard, which is aggravated by the involvement of subcontractors hired by the main contractor to perform parts of the project. Besides, costly rework is frequently needed to achieve the contractually mandated quality. When the main contractor must share some of the subcontractor’s …

Sharing Economy Last Mile Delivery: Three Essays Addressing Operational Challenges, Customer Expectations, And Supply Uncertainty, Nicolò Masorgo

Graduate Theses and Dissertations

Last mile delivery has become a critical competitive dimension facing retail supply chains. At the same time, the emergence of sharing economy platforms has introduced unique operational challenges and benefits that enable and inhibit retailers’ last mile delivery goals. This dissertation investigates key challenges faced by crowdshipping platforms used in last mile delivery related to crowdsourced delivery drivers, driver-customer interaction, and customer expectations. We investigate the research questions of this dissertation through a multi-method design approach, complementing a rich archival dataset comprised of several million orders retrieved from a Fortune 100 retail crowdshipping platform, with scenario-based experiments. Specifically, the first …

Application Of Business Analytics Approaches To Address Climate-Change-Related Challenges, Donald J. Jenkins

Graduate Doctoral Dissertations

Climate change is an existential threat facing humanity, civilization, and the natural world. It poses many multi-layered challenges that call for enhanced data-driven decision support methods to help inform society of ways to address the deep uncertainty and incomplete knowledge on climate change issues. This research primarily aims to apply management, decision, information, and data science theories and techniques to propose, build, and evaluate novel data-driven methodologies to improve understanding of climate-change-related challenges. Given that we pursue this work in the College of Management, each essay applies one or more of the three distinct business analytics approaches (i.e., descriptive, prescriptive, …

Lean Manufacturing Approach To Increase Packaging Efficiency, Lina Gozali, Irsandy Kurniawan, Aldo Salim, Iveline Anne Marie, Benny Tjahjono, Yun Chia Liang, Aldy Gunawan, Nnovia Hardjo Sie, Yuliani Suseno

Research Collection School Of Computing and Information Systems

The company upon which this paper is based engages in flexible packaging production, especially pharmaceutical products with guaranteed quality, trusted by consumers. Its production process includes printing, laminating, and assembling processes. Production activities are done manually and automatically using machines, so various types of waste are often found in these processes, making the level of plant efficiency nonoptimal. This study aims to identify wastes occurring in the production process, especially the production of pollycelonium with three colour variants as the highest demand product, by applying lean manufacturing concepts. The Current Value Stream Mapping (CVSM) used to map the production process …

Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu

Research Collection Lee Kong Chian School Of Business

Bayesian Optimization (BO) has recently received increasing attention due to its efficiency in optimizing expensive-to-evaluate functions. For some practical problems, it is essential to consider the path-dependent switching cost between consecutive sampling locations given a total traveling budget. For example, when using a drone to locate cracks in a building wall or search for lost survivors in the wild, the search path needs to be efficiently planned given the limited battery power of the drone. Tackling such problems requires a careful cost-benefit analysis of candidate locations and balancing exploration and exploitation. In this work, we formulate such a problem as …

Preliminary Evaluation For Lean Implementation In A Small Manufacturing Company, Ronald Lynch

Masters Theses & Specialist Projects

Lean management and tools have many positive effects on a company including increased profitability, and efficiency. Lean tools can be implemented in any type of company with a proper evaluation through the creation of Value Stream Map. This paper will demonstrate how a Value Stream Map (VSM) will provide an easier transition to a lean environment. A local company of about 100 employees will be analyzed to create a current and a future VSM. The areas of opportunity for improvement in a lean environment includes recommended lean implementations and the future VSM. Functions of the company that will be analyzed …

Leveraging The Granularity Of Healthcare Data: Essays On Operating Room Scheduling For Productivity And Nurse Retention, Jaeyoung Kim

All Dissertations

The primary objective of this dissertation is to provide insights for healthcare practitioners to leverage the granularity of their healthcare data. In particular, leveraging the granularity of healthcare data using data analytics helps practitioners to manage operating room scheduling for productivity and nurse retention. This dissertation addresses the practical challenges of operating room (OR) scheduling by combining the existing insights from the prior literature through various tools in data analytics. In doing so, this dissertation consists of three chapters that operationally quantify the operational characteristics of the operating room and surgical team scheduling to improve operating room outcomes, including OR …

The Effect Of Sustainability Information Disclosure On The Cost Of Equity Capital: An Empirical Analysis Based On Gartner Top 50 Supply Chain Rankings, Lingyu Li, Xianrong Zheng, Shuxi Wang

Information Technology & Decision Sciences Faculty Publications

While disclosing financial information has been widely proved to reduce the financing cost of a company, the impact of non-financial information, such as sustainability information, disclosing on the financing cost of the company is still in debate. The goal of this paper is to explore the impact of disclosing sustainability-related information on the cost of equity for firms. The paper first introduces the concept of sustainability information disclosure, and then exhibits its benefit through exploring its impact on reducing a firm’s financing cost. It uses the Gartner supply chain top 50 rankings to construct the experiment environment to test for …

Not A Box Of Nuts And Bolts: Distribution Channels For Specialty Drugs?, Liang Xu, Vidya Mani, Hui Zhao

Research Collection Lee Kong Chian School Of Business

One of the most important trends in the pharmaceutical industry is the rapid growth of specialty drugs. Specialty drugs, mostly bio based, tend to be high risk, high priced, and more regulated than traditional drugs, resulting in unprecedented challenges in distribution. Such challenges lead to the emergence of specialty distributors (SDs), which, compared with traditional wholesalers (WSs), represent a more controlled channel and carry a smaller variety of drugs. Due to the risky nature of specialty drugs, manufacturers must consider the trade-off between access and control in determining whether to use SDs (partially or exclusively). Using a unique dataset assembled …

Making Manufacturing Strategic For The 21st Century, Arnoud De Meyer, Kasra Ferdows, Ann Vereecke

Asian Management Insights

The role of the manufacturing executive must be upgraded too.

Rebuilding Supply Chains In Apec, Rebecca Sta Maria

Asian Management Insights

This calls for greater collaboration.

Inventory-Responsive Donor-Management Policy: A Tandem Queueing Network Model, Taozeng Zhu, Nicholas Teck Boon Yeo, Sarah Yini Gao, Gar Goei Loke

Research Collection Lee Kong Chian School Of Business

Problem definition: In the blood-donor-management problem, the blood bank incentivizes donors to donate, given blood inventory levels. We propose a model to optimize such incentivization schemes under the context of random demand, blood perishability, observation period between donations, and variability in donor arrivals and dropouts. Methodology/results: We propose an optimization model that simultaneously accounts for the dynamics in the blood inventory and the donor’s donation process, as a coupled queueing network. We adopt the Pipeline Queue paradigm, which leads us to a tractable convex reformulation. The coupled setting requires new methodologies to be developed upon the existing Pipeline Queue framework. …

Pengaruh Nilai Esg Dengan Kebutuhan Modal Kerja: Analisis Perusahaan Listing Indonesia Periode 2015-2020, Vani Rahmita, Eko Rizkianto, Hendro Prabowo

Jurnal Manajemen dan Usahawan Indonesia

This study aims to analyze the effect of ESG score and its pillars (environmental, social, and governance score), as a proxy of sustainable companies, on working capital requirements (WCR) and cash conversion cycle (CCC) of Indonesian listing companies for the period 2015-2020. The ESG and pillar scores are obtained from the Thomson Reuters Refinitiv Eikon terminal. The research covers 29 non-financial listed companies in Indonesia in the six years with a total of 174 observations through the purposive sampling technique. This study finds that on average non-financial companies in Indonesia use a conservative working capital strategy which makes the company's …

Peran Pendidikan Ceo, Keberagaman Gender , Dan Dimensi Keuangan Perusahaan Terhadap Pengungkapan Csr Sektor Manufaktur Di Indonesia, Fanindya Dwimartha, Muthia Pramesti, Liyu Adhi Kasari Sulung, Imo Gandakusuma

Jurnal Manajemen dan Usahawan Indonesia

This study aims to analyze the effect CEO education, board gender diversity, and firm’s financial dimension on CSR disclosure. The sample used in study includes 22 publicly listed manufacturing firms in the Indonesia Stock Exchange that disclosed their ESG scores during the period of 2015 until 2019. This research used panel data which was later run using fixed effects model data. The result explains that both firm size and CEO education positively impact CSR disclosure at manufacturing firms and the impact is significant.