New Case Study - Costco Wholesale Club: The Gas Station Strategy

I'm pleased to announce the publication of newest strategic management case study, Costco Wholesale Club: The Gas Station Strategy.  The case explores the company's business model and the decision to open its first standalone gas station in the nation.  The case study also examines the psychological principles at play when people shop at Costco.  The case study was published by the William Davidson Institute at the University of Michigan.  

How to Make Small Talk Effectively

Some people dread small talk. They just want to get on with the business at hand.  Why bother with the chit-chat about the weekend, the kids, or last night's episode of Rooster?  Research, however, demonstrates that small talk has value, helping us build relationships that facilitate more effective collaboration.  Moreover, small talk can enhance well-being.  

In a recent Inc. article, Henna Pryor speaks with writer Amaya Nichole about how to engage in small talk effectively.  Pryor offers three important and useful tips:

1. Focus on a specific detail.  It might be the photo on their desk, the screensaver on their computer, or the recent family celebration you know they attended.  Direct their attention, show them that you noticed, and inquire to learn more about that particular topic.

2.  Ask specific questions, rather than general ones.  Don't just ask how they are doing. Ask about a specific book, podcast, or TV show that they are enjoying.  Don't just ask how the family is doing, but inquire about a particular individual and a recent important event (birthday, graduation, wedding, etc.).  

3.  Finally, Pryor recommends that we "learn to leave a conversational thread."   Pryor offers an example of how to do this effectively: "This is less about the question asked and more about the response. Instead of answering 'how was your weekend?' with 'good,' try: 'It was good. It was really good. I finally checked out that new bookstore downtown and ended up staying for two hours. I did not need that many books.'"  

Why Movie Production Teams Do Not Learn From Failure

We love those wonderful stories about how people learn from failure. We champion the practices in certain industries (such as healthcare, the military, and commercial aviation) in which organizations improve based on systematic reflection. Yet, in a new study, Suresh Muthulingam and Kumar Rajaram find that Hollywood production teams do not seem to learn from failure effectively.  Perhaps we should not be surprised, as we have all witnessed highly publicized films, with top actors, flop spectacularly at the box office. 

Why is learning from failure difficult in the movie business?  The UCLA Anderson Review summarizes these scholars' findings: 

So why does failure appear to stick rather than teach? The researchers point to three structural barriers. First, fluid teams disband before the financial verdict arrives, so there is no collective moment of reckoning. Second, individuals tend to blame losses on external factors or other team members rather than examining their own contributions. Third, movie production lacks the kind of systematic post-failure review that exists in aviation or medicine.

The implications stretch beyond Hollywood. Any industry that relies on project-based teams assembled for a single engagement — teams that are dissolved afterward — may face similar dynamics. The research suggests that managers assembling such teams should pay close attention to the collective financial track record of members, particularly those in coordinating roles like producers who bring the group together.

These three points are right on point and consistent with my work and the research of other scholars about learning from failure.  First, stable teams have an opportunity to iterate, to reflect and learn.  Harvard's Richard Hackman once demonstrated the importance of stability, and the perils of instability, in his research on airplane cockpit crews.   Second, the fundamental attribution error is very real.  People tend to blame the person when others fail, but they blame external circumstances when failing themselves.  Finally, you learn effectively if you have a systematic process for evaluating, reflecting, and putting new techniques into practice.  The After Action Review used by the U.S. military is one such successful systematic practice, now employed by many companies, such as Royal Dutch Shell, as well as by many healthcare organizations.   

Why Might a Leader Fail in One Situation, But Succeed in Another?

Several months ago, I wrote about how many professional sports coaches do not win a championship in their first gig as a head coach.  Instead, they win in their second tenure, or even later.  I suggested that we don't see many CEOs in business get a second chance if they fail during their first tenure as a chief executive.  Today, however, I read about one leader who is thriving during her second opportunity to serve as a CEO.  Fortune's Phil Wahba wrote about Michelle Gass.  She served as CEO of Kohl's, which struggled during her time there.  Now, she's serving as chief executive at Levi's, and the company has been growing profitably with strong shareholder returns so far during her tenure.  

Why might Gass be succeeding after stumbling at Kohl's? Wahba offers two key reasons. First, he writes that the Levi's role "plays to all the strengths she's developed over her long career." In short, we have a better match between Gass' skillset and the demands of the job at Levi's than at Kohl's. Gass' background at Starbucks gave her a set of brand management skills that match well with the Levi's brand positioning work that needed to be done. Second, some chief executives may be more suited to growth scenarios than turnaround situations. The skillsets required in each situation are quite different. I certainly agree with both points, and I would add that the Kohl's situation was a tough one for any leader. Brick-and-mortar retailers of that type simply face a tough road with any leader at the helm; the economic and strategic headwinds are strong. I would also add that some leaders may learn from experience very effectively. Gass may have reflected on her first tenure and made key changes that helped her thrive in her second role.

Wahba makes one other key point though. He writes, "some might be in the right place at the right time and get too much credit for success, or, conversely, get blamed for being unable to fix an unfixable company." I think he hits the nail on the head. We often have a severe case of attribution error when it comes to chief executives. We typically give them too much credit when their companies succeed, and too much blame when their companies fail. The same goes for head coaches in sports. We need to consider all the factors that contribute to the performance of a company: the management team surrounding the CEO, the efficacy of corporate governance, the attractiveness of the industry structure, the macroeconomic conditions, and frankly, the good or bad fortune they may encounter during their tenure (to name just a few key factors).

The Downfall of Allbirds

Remember when Allbirds became the "cool" shoe that offered comfort and plenty of virtue signaling about sustainability.  People such as Larry Page and Barack Obama wore the sneakers.  The company went public in 2021, reaching a valuation at one point of more than $4 billion. Now, the Wall Street Journal reports that the company sold its intellectual property and other assets and liabilities to American Exchange Group for $39 million.   What happened to this once-popular brand, and what can we learn from its downfall?

1.  Allbirds expanded too aggressively and did not define their target market clearly as they grew.  After its initial success, the company moved into a variety of other product categories.  They developed other types of sneakers, as well as leggings, jackets, underwear, and golf shoes.  The company seemed to be trying to both offer performance shoes and comfort shoes, without the technological capabilities and advantages required to sell to more serious athletes.  Moreover, it invested heavily in retail stores, building out brick-and-mortar locations around the country.  Through it all, it became unclear who Allbirds' target market was.  Were they selling to athletes, "tech bros", or wealthy people who cared deeply about the planet?  Were they selling to millennials, or a much broader audience?  Trying to be all things to all people turned out to be a key factor in their downfall.  

2.  Allbirds' value proposition did not have sufficient breadth and depth.  The company positioned its distinctive wool sneakers as highly sustainable footwear.  The question becomes: Is sustainability sufficient enough to drive very high willingness to pay on the part of consumers?  In most successful cases, companies pair a sustainability dimension of their value proposition with other key features. For example, On running shoes offer high performance for athletes and comfort for walkers, not just eco-friendly materials and the opportunity to recycle used sneakers.  Tesla offers speed, luxury, and status, not just the opportunity to drive a car that does not use fossil fuels.  Patagonia offers very high quality, durable, and stylish outdoor wear alongside its eco-friendly credentials.  Allbirds trumpeted the shoes as comfortable, but many companies were innovating to offer incredible comfort.  I bought a pair of Allbirds; while I liked the shoes, they were not durable, and other shoes offered superior comfort.  In short, Allbirds failed to optimize other aspects of its value proposition, relying too heavily on sustainability alone to drive willingness to pay. The Wall Street Journal's Suzanne Kapner writes,

The premise that consumers would pay a premium for sustainably made products turned out to be flawed. “Sustainability comes way down the batting order behind factors like style, price and comfort,” said Neil Saunders, a managing director of research firm GlobalData. “Allbirds could have leaned in to any of these things alongside its green credentials but largely chose not to do so.”

3. Quality and durability concerns undermined the company's brand image.  The shoes didn't last long enough for many customers, or they became damaged too easily.   In the end, people were not willing to sacrifice quality for the sake of sustainability.  

4.  Finally, competitors offered a more compelling value proposition.  Let's take On, for example.  They began by offering a distinctive, high performance running shoe.  They layered on eco-friendly components to their value proposition. Then, they expanded their target market by attracting customers who found the shoes very comfortable for walking.  Elderly individuals loved them too for this reason.  They almost didn't need to market to this broader audience.  Word-of-mouth spread, and the distinctive look of the shoe attracted attention.   Yet, On didn't lose sight of the athlete.  They continue to innovate with the serious runner in mind.  In many ways, starting with the athlete and then selling to the masses is an easier transition than the one that Allbirds tried to execute (i.e., going from a casual shoe to trying to compete with performance sneakers).  

How Do We Avoid Getting Caught by Surprise?

Why do we get caught by surprise at times? A competitor catches us off guard with an innovative new product launch. A new social trend emerges that shifts consumer tastes substantially. A sudden shift in workforce engagement and employee turnover stuns us. How can we avoid getting surprised by such changes?   

In a new study, Nir Halevy, Elizabeth Miclau, and Serena Lee argue that the traditional explanations may not suffice.  Conventional wisdom suggests that such surprises often occur because managers fail to gather, attend to, and evaluate information effectively.  They stick to pre-existing beliefs rather than adjusting their conclusions based on new data, or they dismiss those with dissenting views.  In short, people miss the signals because they are not processing information effectively.  Halevy and colleagues provide an alternative explanation.  In their paper, published American Psychologist, the researchers posit that, "strategic surprises emerge when individuals, organizations, and nations think too abstractly or too concretely during strategic interactions."  Stanford Leadership Insights summarizes the scholars' main argument:

"The researchers suggest that people and institutions can be caught off guard when they think too abstractly or too concretely about the information related to a particular situation. The quality of information matters, but so does the framework in which it is interpreted.  Overly abstract thinking relies on broad schemas that can lead decision-makers to apply poorly fitting mental models, misjudge possible threats or opportunities, or assume that others will behave in stereotypical ways. Concrete thinking, on the other hand, involves being deeply immersed in the minutiae of a specific situation, which can lead people to ignore broad trends." 

Thus, the scholars suggest that we shift between abstract and concrete thinking as we evaluate data about emerging trends, marketplace dynamics, and consumer preferences.  In so doing, we are more likely to arrive at robust conclusions.  You are less likely to get caught off guard.  

What is the Value of an AI-Generated Cover Letter?

Source: https://chatmaxima.com/

Cover letters used to provide insight to hiring managers and helped them identify which candidates to select for an interview. A well-written cover letter signaled something about the quality of a candidate. Moreover, a well-tailored letter also could signal that a candidate was serious about the particular job opening. Do cover letters still have signaling value in the age of AI?

Several months ago, Jingyi Cui, Gabriel Dias, and Justin Ye published a working paper titled "Signaling in the Age of AI: Evidence from Cover Letters." They studied over 5 million cover letters submitted to 100,000 jobs on freelancer.com platform.  The examined the impact of a new feature on the platform that uses AI to generate cover letters for job candidates.  Perhaps not surprisingly, "Access to the tool increased textual alignment between cover letters and job posts and raised callback rates."  

However, that is not the end of the story.  The key finding pertained to a substantial drop in the correlation between cover-letter tailoring and invitations to interview, as well as a significant drop in the correlation with job offers.  On the other hand, workers' review scores (a metric developed by the platform to evaluate past work experiences) became more meaningful.  The authors conclude "These patterns suggest that as AI adoption increases, employers substitute away from easily manipulated signals like cover letters toward harder-to-fake indicators of quality."  

Finally, the scholars examined whether people spent time revising or editing the AI-generated cover letter.  Many people did not.  Yet, those people who did edit the letters increased their probability of landing the job!   

Interestingly, another study by Galdin and Silbert also studied job candidates on the freelancer.com platform.  They found that the length of applications increased after the introduction of AI tools to help candidates.  At the same time, "employers had a high willingness to pay for workers with more customized applications in the period before LLMs were introduced, but not after."  In short, they discovered a drop in the value of the well-crafted application as a signal of quality.  That drop had important implications.  They write, "Without costly signaling, employers are less able to identify high-ability workers, causing the market to become significantly less meritocratic: compared to the pre-LLM equilibrium, workers in the top quintile of the ability distribution are hired 19% less often, workers in the bottom quintile are hired 14% more often."