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 UPSHOT
Large buyers and sellers often work together in different geographies or product markets. This means
they have more than one business relationship with one another, also known as "multimarket contact." In
these types of situations, what happens in one market can influence what happens in another. The authors
believe this has a notable impact on how companies wield the power or influence they have with their
business partners. For example, before a company pressures a supplier to drop prices, it needs to take
into account how that pressure might affect relationships with the partner in other markets, and what
consequences that use of power might have.
This paper looks at three different types of market power: granting incentives (reward power), threatening
punishment (coercion power), and executing judiciary rights ("legal legitimate" power). The authors say that
understanding the multimarket relationships between buyers and sellers can help companies decide how to more
effectively use those powers in a particular market. They also discuss how buyers and suppliers use their power
differently. For example, the researchers found that the more contact there is between a seller and buyer, the
more likely a supplier is to use legal legitimate power; buyers, on the other hand, would be more likely to
use reward power.
Supply Chain Quarterly Senior Editor Susan K. Lacefield asked Dr. Felix Reimann, the lead author,
about how companies could use these findings to improve relationships with their supply chain partners.
What was the impetus for your research?
When speaking with chief procurement officers from various industries and companies of various sizes,
we noticed a large variation in regard to the internal coordination of their contacts with suppliers. Some
firms have a very clear picture of all their business relationships with individual firms, while others
basically treat each contract in complete isolation. We were curious about the reasons for that and the
effects it might have.
Common sense suggests that when taking the complete picture into account, this should influence firms' decisions on how
to treat their suppliers. For instance, you might be the stronger party in one exchange, but another business unit of your
company might be heavily dependent on the same supplier. Do you really want to squeeze the last drop out of this supplier,
or would you want to safeguard the relationship instead? Those were the ideas we wanted to explore.
We investigated how decision makers change their use of power if they know about other business relationships between
their own firm and the supplier. This means that in reality, firms will show the described behavior if they are well
coordinated internally, and if they also believe that the other party has sufficient internal coordination to retaliate
if they see fit.
Can you define "mediated power" and provide examples of the three types discussed in the paper?
There are two broad kinds of power that can influence a relationship: Mediated and non-mediated. Non-mediated power
exists because one party has some form of respect for the other party. For example, if we see someone as an expert in a
given subject, we are more likely to follow her or his advice. Through this mechanism, the expert would have non-mediated
power over us.
Mediated power, on the other hand, refers to power that one party can consciously use by setting extrinsic motivations
such as promising rewards, coercing by threatening punishment, or relying on legal provisions such as contract clauses. In
supply chain relationships, a buyer could use reward power, for example, by promising to increase purchasing volumes if the
supplier agrees to invest in joint research and development projects. Coercive power could be wielded by threatening to
reduce volumes or re-source the volume through e-auctions, where high price pressure can be expected. Legal power would
mean to insist on a highly detailed contract and threaten immediate legal action if the supplier deviates.
Why do suppliers and buyers use power differently?
This is a question that research is just starting to understand. Traditionally, business relationships have
been assumed to be symmetrical, with buyers and suppliers behaving the same way if they are in the same situation.
Recent empirical results, however, have called this assumption into question, and our work is among the first to
explore the reasons behind differences in behavior.
We propose that buyers and suppliers interpret multimarket contact in different ways. Suppliers might see it more as a
successful lock-in of the buying firm and become bolder in their demands. The buying firm, on the other hand, might feel
increasing dependence and supply risk. If the supplier defaults, it will send large shock waves into the buying firm's
operations. The buying firm might thus become more cautious in putting pressure on the supplier and be more concerned
about the stability of the relationship. Our findings are consistent with these thoughts, but as I said, we are just
beginning to understand these mechanics.
We have launched additional research to look deeper into the differences in behavior between buyers and suppliers, and we
invite your readers to share their thoughts, experiences, and examples on this topic with us. Just drop us an e-mail!
(Editor's note: Readers who are interested can contact Dr. Reimann at felix.reimann@whu.edu.)
Your research relied on "vignette methodology" that asked participants to respond to hypothetical circumstances. Tell us about one of the vignettes you used.
The big advantage of this method is that respondents actually make a decision inside the context of the vignette scenario. By slightly varying the scenario among participants, we can find out how these variations influence decision making.
In our research, for example, we varied the degree of multimarket contact. Some participants received a scenario description that included the following: "In addition to the supply relationship you are responsible for, your company and the supplier have established another buyer-supplier relationship among their other business units." This corresponds to relatively limited multimarket contact. Another group of participants received the following description: "In addition to the supply relationship you are responsible for, your firm and the supplier, the SELR Group, have established several buyer-supplier relationships among their other business units. You know of four other business units that also have established buyer-supplier relationships
with the SELR Group." So this corresponds to a higher number of multimarket contacts, and in fact we found that participants decided differently on their power use depending on which of the two scenarios they received.
How can supply chain executives apply your findings about power and multimarket contact?
The key implication is that you want to be fully aware of all the exchanges you have with each of your suppliers.
That is, you need to be very well coordinated internally. You also want to be very controlled in how you display this
coordination in negotiations, because sometimes it can be better to show that you are aware of the entire relationship
and sometimes better to pretend that you are only interested in this single contract. Further, you want to get a good
sense of how coordinated the other party is, and whether they actually have transparency.
How do you improve internal coordination? Like in every change effort, it is important to have top management on board. In
sourcing committee meetings, top management should regularly question sourcing decisions and ensure that all relationships with
the supplier are taken into account. Further, incentives for coordination need to be aligned. If a purchasing manager's bonus
only depends on her own cost savings, there is little chance that she will spend much time talking to purchasing colleagues in
other divisions or category groups. Integrated IT systems can be another huge enabler, and many firms are already working on
improving purchasing transparency in their systems.
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."