It's a fundamental question: How can we get people and organizations to consistently perform at high levels? The answer is more complicated than simply implementing some sort of incentive program. Instead, companies need to have a well thought-out performance management program that establishes not just what the metrics are but also how they should be used.
Metrics come with responsibilities
Elevating performance is closely related to the subject of metrics. When an organization chooses to focus on a few mission-critical metrics, its management has a couple of subsequent responsibilities.
The first is to report performance results often, visibly, simply, and on a timely basis. It's not enough to report current status or even to relate that status to a baseline. People need a target, something to shoot for. It's human nature to want to strive—to meet expectations, to reach the goal, to excel. People from all over the world respond positively to clearly communicated expectations.
The best way to motivate them is to begin by setting equitable, achievable targets. Not "stretch" goals that can only be met when the sun is out and the planets are aligned. Not generous allowances that can be achieved all day every day without breaking a sweat.
The specific standards on which your targets are based can be engineered, derived from historical data or reasonable expectancies, or the product of MTM (methods time measurement) or MOST (Maynard Operations Sequence Technique)-like programs. Which type of standards you choose is not material. Just stay away from guesses and management estimates.
The second responsibility is to have a plan for what to do when targets are reached—and then do it. Highlighting metrics creates an expectation that something will happen when targets have been reached. Failure to take visible action when a goal has been met, therefore, will cause people to lose interest in doing what it takes to continue meeting the targets you have set for them.
It's not a matter of having to bribe people to perform. It is very much a matter of demonstrating a positive link between cause and effect—in other words, between employees' actions and the results they produce. That demonstration reinforces employees' interest in and commitment to contributing to sustained, high-level performance. In fact, the details of the associated reward and recognition—such as whether the measures and targets are quantitative (more production, say, or perfect orders) or qualitative (zero defects or on-time deliveries)—are less important than their consistent implementation.
Similarly, the payoff itself can vary from company to company; it might be a group pizza party, a quarterly bonus, a field trip, or desirable parking spots. The key is to make the rewards as visible as the accomplishments. Remember, too, that even as you recognize individuals' performance, the emphasis should remain on group rewards for meeting group objectives.
Finally, don't use day-to-day quantitative performance for disciplinary purposes. If you do, the program will immediately be discredited, and good performers' achievements will drop like a stone.
Not just what but why
The reporting process is not just about highlighting success and failure; it also gives management a chance to understand why that success or failure happened. Supervisors should interview high-performing associates to determine what factors account for their success. The answer might be a process, a short cut, an absence of obstacles, or the mix of tasks and transactions.
Failure presents an even greater opportunity. Failure provides supervisors with an excuse to interview the less successful employees to try to determine what went wrong. If the supervisor is able to identify the root causes for failure, two good things can happen. First, it will demonstrate to the worker that the company's intentions in setting up the measurement program were pure—that it's not a thinly disguised disciplinary tool. The effects of this realization on morale and employee commitment can be enormous.
Second, it will provide a forum for workers to inform their supervisors about those things that hamper their performance: barriers, obstacles, problems, events, bad processes, upstream failures, downstream disconnects, insufficient tools, lack of information, and poor communication. Supervisors then have the opportunity to analyze, prioritize, and remedy those problems.
In addition, continuous reporting of performance relative to targets provides a way for both working and supervising employees to track the effectiveness of their problemsolving and repair efforts. This approach, which is powerful indeed, is a far cry from the old system of punishment, rewards, and incentive pay.
When you boil it all down to the essentials, the way to get people to meet or exceed targets, goals, standards, or objectives is not to push them to strive for excellence. Instead, it's simply to remove the obstacles that get in the way of stellar performance. Once the barriers have been dismantled, they'll strive on their own to do what is expected and needed.
Editor's Note: This column was adapted from Fundamentals of Supply Chain Management: An Essential Guide for 21st Century Managers, published by DC Velocity Books (2007). Reprinted by permission.
Metrics vs. Standards
As we discuss metrics and performance management it's important to be clear that there is a big difference between performance metrics and performance standards.
In the world of metrics, we generally are after outcomes, ideally outcomes that bear directly on customers and profitability. In the realm of standards, we are working with details that, in the aggregate, contribute to the outcome metrics. Standards also help us devise better processes, understand and improve costs, and plan the labor component of supply chain management.
By way of illustration, in a logistics environment, we might want to have standards that are related to the number of stops, miles driven, parcels handled, or number of orders delivered. The performance metric, by contrast, would likely be on-time delivery percentage. In a distribution center, we might have standards for picks per hour, putaway productivity, fill rate, and the like. An appropriate performance metric might be cost per order.
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.”
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."
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.