The Journal of Business Logistics (JBL), published by the Council of Supply Chain Management Professionals (CSCMP), is recognized as one of the world's leading academic supply chain journals. But sometimes it may be hard for practitioners to see how the research presented in its pages applies to what they do on a day-to-day basis. To help bridge that gap, CSCMP's Supply Chain Quarterly challenges the authors of selected JBL articles to explain the real-world implications of their academic research.
THE ARTICLE
"The Economic Development Role of Regional Logistics Hubs: A Cross-Country Study of Interorganizational Governance Models," by Yemisi A. Bolumole, David J. Closs, and Frederick A. Rodammer of Michigan State University. Published in the May 2015 issue of the Journal of Business Logistics. This paper also received the Bernard J. La Londe Best Paper Award at CSCMP's 2016 Annual Conference.
THE UPSHOT
This article grew out of the authors' experiences working with economic development organizations that were trying to promote their regions as logistics hubs. When Bolumole served as director of the transportation and logistics program at the University of North Florida, she was involved in the Jacksonville/Northeast Florida region's efforts to market itself as a logistics hub. Closs and Rodammer had been involved in similar efforts for the state of Michigan. Based on those experiences, the authors wanted to investigate other regions' efforts to establish themselves as logistics hubs. They also thought it would be beneficial to develop a better definition of what a regional logistics hub actually is.
It seemed to the researchers that an area could not be declared a logistics hub simply because a group of companies focused on logistics are located there. There also must be some sort of external governance structure or organization that not only facilitates the promotion of the region's logistics resources as a source of economic growth, but also uses these resources to attract new businesses.
Not all economic development organizations operate in the same way, of course. To demonstrate the variety of ways logistics hubs could be organized, the paper outlines a spectrum of governance types, from a hierarchical/command-and-control structure to a more relational/voluntary organization.
Bolumole, the lead author, spoke with Supply Chain Quarterly about what these concepts could mean for economic development organizations as well as for those who work in the private sector.
What issues were you seeking to explore through this research?
We know that either by sheer luck or geographical location, the way in which organizations break up supply chain activity tends to "bless" some regions more than others. It places certain concentrations of freight movement at certain hubs or gateways. But many people assumed that if there's any governance or self-organization in these regions, it must happen organically or by happenstance. There really isn't any kind of conscious effort. ...
The study focused on developing an understanding of what we mean by a "logistics hub." When people see these words, they think of a collection of companies in an area that are involved in logistics. But what we are trying to get at in this paper is that logistics hubs transcend the traditional boundaries and benefits derived simply from co-location. Rather, it is a means to organize economic development activity. This means we need to understand the dependencies or synergies that exist across industries, across institutions, and across organizations, and even across consumers within a given region. The one thing these synergies or dependencies have in common is that they all are derived from, and depend on, regional resources. This was the message we were trying to convey: [Logistics hubs] drive an economic development output that is wholly dependent on resources that are within the home region.
In the paper you define different types of regional logistics hubs based on how they are structured or governed. Can you provide a few examples of the different types?
When we looked at the governance structures for these hubs, one that was probably the easiest to define is at one extreme. This is the "port authority" model, represented, for example, in the New York/New Jersey region. What sets this kind of model apart is that it has very strong government involvement. In fact, in most cases [the logistics hub] is government-owned, -created, and -led. And because of that command-and-control or hierarchical structure, the government usually reserves the right to charge user fees, bridge tolls, taxes, and so forth. That's how they generate the income they use to stimulate economic development and create and maintain regional infrastructure and resources.
Now because it is government-owned, does that mean it doesn't engage the private sector? No, it just means that this type of governance typically has the authority to levy taxes, design incentives, and then use those incentives to attract private sector participation.
If we look at the opposite end of the spectrum, there's the model that we call "industry collaboration." An industry collaboration is a voluntary organizational mechanism that's typically designed by an economic development agency. That's what Jacksonville represented. It's also represented in the Metro Atlanta Supply Chain Initiative [in Georgia]. Participation typically is completely voluntary; the governance is significantly less formal and is based on relational norms of collaboration. The activity is still aimed at promoting and attracting supply chain-related investments to the region to stimulate economic growth. However, where this one differs from the port authority model is that it is not technically responsible for infrastructure. Instead, this group serves to support the civic infrastructure and political conditions that will enhance the region's economic development.
Let's use Jacksonville, Florida, as an example. If such an area acknowledges that one of the ways to best position the city to take advantage of the Panama Canal expansion would be to raise money as a region to support port deepening and dredging (if necessary), that sort of activity relies on businesspeople coming together and coming to terms with whether this is something the private sector would be willing to get involved in. Yes, it involved an infrastructure investment, but the goal in this case is to help the economic development agency communicate the type of political conditions that allows the agency to do what it needs to do.
I'll mention one more model that we are all probably the most familiar with: "public-private partnerships" (P3). Most of us are familiar with this model because these are the mechanisms that regions have typically employed to combine government and private sector capital to deliver a meaningful value proposition. One of the P3 examples we mentioned in the paper is the AllianceTexas public-private partnership in Dallas. It's a perfect representation of this kind of governance because it leverages infrastructure, geography, and private sector members as champions of the economic development initiatives that it is rolling out.
Can this knowledge help an economic development authority operate more effectively? If so, how?
One of the things that we were hoping would be a key takeaway is the recognition that there remain significant opportunities for certain regions to develop an identity of regional growth that is centered on its logistics or supply chain assets. For example, cities adjacent to Los Angeles/Long Beach, California—knowing LA/Long Beach's congestion challenges—can ask themselves, "Can we take advantage of the overflow?"
One thing we are finding is that many agencies are still using tax-based incentives to encourage relocation. However, that's not a long-term, sustainable growth option from an economic-productivity standpoint. What we are hoping is that economic agencies can redefine what economic development means in a way that allows them to align what they do not only with the firms that are represented but also with the distinct supply chain assets that they possess. In other words, supply chain or logistics hubs become a major stimulant to economic development.
What is the most important takeaway from your research for practitioners?
In the private sector, we've been taught to focus on B2C (business-to-consumer) and B2B (business-to-business) interactions. This paper is a call to attention of the importance of business-to-government (B2G) interactions. ... Supply chain managers must continue to embrace and incorporate [into their decisions] an understanding that public sector actions impact what they do. ... [T]he presence or lack of public policies that inhibit or enhance supply chain efficiency can really have an effect on a firm's total landed cost.
At the end of the day, this paper is about clarifying the intersection between economic development and supply chain management. This logistics-focused economic development is a win-win for both the public sector and the private sector, as the intersection is all about value creation for both sectors. Managers with a better understanding of that intersection will be better able to find opportunities to remedy market-access gaps.
TO READ THE FULL ARTICLE ...
As a member benefit, CSCMP members can access articles in the Journal of Business Logistics at no charge. To request access to this and other JBL articles available in the Wiley Online Library, send a request via e-mail to cscmppublications@cscmp.org.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."