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Under Armour’s response to a cyber attack achieved the seemingly impossible: Rather than fueling outrage, it actually drew praise. Brunswick’s Siobhan Gorman reports. In late March last year, Under Armour learned that its MyFitnessPal app, which tracks diet and exercise, had a data breach that affected 150 million users. It’s not uncommon for companies to take several weeks—or even months—to publicly announce a cyber attack of that scale. Under Armour did so in four days. Tokë Vandervoort on What Made The Difference 1. Relationships External relationships are how we found out about the breach, and they’re how we knew which advisers and expertise to bring on board right away. We had those in place and had put a lot of effort into maintaining them and keeping them up to date. Internally, the trust we’d built allowed us to move as quickly as we did. Both paid huge dividends. 2. Preparedness I don’t know anybody whose incident response team meets every other week, but ours does. Sometimes we’re just shooting the breeze, but other times we’re asking: “What’s going on in the business? What are you hearing? What’s happening?” We enjoy a great relationship with the product team, the engineering team, the IT security team, the IT team ... It’s not just sharing information, but also getting to know one another, which ties back to the importance of relationships—knowing what’s going on and who to call. 3. Practice We do a table top every year for a data incident. I’ve heard people say table tops are too expensive—we make up our own. Security and privacy get together and create a two- or three-hour game. One year it’ll be a supply chain issue, another year it’ll be a data event. We invite decision-makers from across the organization so that people then have a sense of what it feels like to make decisions without full information and to have to do so under a lot of pressure. People appreciate not just how hard these decisions are, but they know who the other people are, and the issues that they’re confronted with. The companies that have the most confident response are the ones where everybody knows their roles—not some giant team of people who have never worked together. When you have complete clarity of purpose, focus and leadership, you can get anything done.
Optimizing the delivery speed promise can boost sales
After the coronavirus pandemic forced most of the country into lockdown, online shopping soared. According to CCInsights.org, by the end of April 2020 there was a 146% year-over-year increase in U.S. and Canadian online retail orders. Amazon was so overwhelmed by the combination of increased demand, logistical nightmares, and warehouse worker safety issues that the company announced significant delays in its Amazon Prime shipping speeds. When the company announced it would prioritize the shipping of essential items, the online retailer’s third-party sellers were left to manage their own shipping — something Amazon usually did for them. Shoppers who placed orders for non-essential products at the end of March sometimes received estimated delivery dates of more than a month away. While consumers often received their orders sooner than the 30-day estimate, for Prime shoppers used to getting their items delivered for free the next day, the change in delivery speed was a shock. Amazon shoppers turned to alternative outlets that promised much quicker delivery speeds. Companies with strong e-commerce positions and supply chains, such as Walmart, took advantage of Amazon’s situation. “People are very sensitive to delivery and how fast they can get products,” said Ruomeng Cui, assistant professor in information systems & operations management. “Maybe, just maybe, Amazon would be able to deliver faster than one month, but they chose to promise customers one month — that was their choice.” Unfortunately for Amazon, by setting conservative delivery speed promises, they exacerbated an already bad situation. According to Cui’s paper “Sooner or Later? Promising Delivery Speed in Online Retail” (Ruomeng Cui, Tianshu Sun, Zhikun Lu and Joseph M. Golden), optimizing delivery speed promise can have a substantial effect on a company’s sales. How substantial? Without changing the actual delivery speed itself — only the delivery speed promise — Cui’s research showed that when the retailer promised customers one day faster shipping, sales increased, profits increased, and customers spent more on each order. “It’s a very critical decision for retailers to try to determine how to manage delivery and how to manage the information aspect of delivery,” added Cui. The study is attached and found two key findings: The value of communicating delivery times From a customer satisfaction standpoint, the conservative disclosure lowered customer satisfaction while the aggressive disclosure didn’t affect the company’s satisfaction score, although it did increase product returns when shipping speed was overly aggressive and products were delivered late. “These results indicate that in our research context, promising customers a faster delivery speed can boost sales and profitability but at the cost of a higher product return rate,” the researchers wrote. They go on to caution retailers that promising a conservative shipping speed can be costly. “It’s a careful balance that companies need to think about — how to manage customers’ expectations properly,” explained Cui. Crafting the delivery promise Given online retailers’ adoption of machine learning, Cui believes companies could tweak their algorithms to explore what products and which types of customers are more tolerant to over-promising as it relates to the delivery speed promise. “Companies can then use the analysis to customize and differentiate the types of products that adopt different types of information strategies,” Cui said. “Just change your algorithm, learn and incorporate some of the data-driven decisions and methods.” Going forward, Cui hopes to customize algorithms for companies in an effort to help them dynamically optimize how to promise the correct delivery speed to customers. While many companies, like Collage.com, don’t own their own delivery function and can’t change the actual delivery speed by changing infrastructure, these companies can “manage the information,” said Cui. “It’s easy, and I think it should be the retailer’s responsibility and job to optimize.” “I want to advocate for all retailers to think strategically in their information aspect,” said Cui. “Don’t let such an easily fixed lever just sit there at almost zero cost.” If you are a journalist looking to cover this study or speak with Professor Ciu about subjects like online shopping and operations management, simply click on her icon now to arrange an interview today.
The tug between protecting privacy and building brand loyalty
The coronavirus pandemic has put much of normal life on hold, but it hasn’t stopped hackers. According to Securityboulevard.com, in the first quarter of 2020, more than 8.4 billion records from healthcare institutions, technology, software, social media, and meal delivery companies were exposed — a 273 percent increase from Q1 2019. While data breaches are costly to companies — a recent Ponemon Institute data breach report found that data breaches cost organizations an average of $7 million in the U.S. — their frequency is enough to cause some consumers to wonder if their private information is safe with their favorite brands. The increase in data breaches is concerning, noted Jesse Bockstedt, associate professor of information systems & operations management, but several studies have found that the out-of-pocket expense to consumers due to identity theft is less than $1,000. “Which isn’t zero, but it’s not like a few years ago when [identity theft] ruined your life and destroyed your credit,” Bockstedt said. As for the companies, he added, “It’s not a brand killer anymore.” Yet despite consumers’ growing unease, Goizueta faculty say the relationship between privacy and brand loyalty is a bit more intricate. While a data breach can nick a firm’s reputation, it’s the data that is purposely collected beyond the name and vital statistics that worry consumers more. Our experts found the following key points were necessary when it comes to finding the safe ground between privacy and brand loyalty. In fact, we have an expert from Goizueta who can explain each one: Building digital trust “Companies are increasingly worried that people will buy less from their brand if they’re perceived to be fast and loose with customer data,” said Daniel McCarthy, assistant professor of marketing. For instance, after political data-analytics firm Cambridge Analytica secretly collected data on roughly 87 million Facebook users, back-lash followed. In an effort to regain users’ trust, Facebook founder and CEO Mark Zuckerberg laid out a “privacy-focused vision” for Facebook, but those efforts were widely criticized as not going far enough. Advertising boycotts followed. Trust: the key to customer loyalty Minus regulatory guardrails, the differentiating factor is trust, explained Jagdish Sheth, the Charles H. Kellstadt Chair in Marketing. “Trust is built over time by doing what you promise to do and by company behavior that is considered appropriate or right,” Sheth said. Loyalty programs such as those with airlines, hospitality companies and grocery stores are founded on a relationship between a consumer and a brand. “Loyalty programs mean relationships, and in all relationships, trust and commitment are key,” he added. Let’s make a deal “Brands that are able to deliver a personalized experience in a privacy-friendly manner will have a competitive advantage,” explained David Schweidel, professor of marketing, in a recent “Goizueta Effect” podcast. “Putting a premium on privacy means forgoing the benefits that come from allowing organizations to collect data they use to deliver a better experience. From a commercial standpoint, the onus is on the marketers to make the case that the benefits outweigh privacy concerns.” We’ve attached a full article with even more advice and helpful information from our experts – but if you are looking to learn more or cover this topic, we can help. All of our faculty are available to speak with media, simply click on either expert’s icon now – to book an interview today.
Researchers urge: Learn from (someone else’s) experience
Measuring your performance as a business is critical. If you want to grow and be successful, you need to understand what you do well—and not so well. To paraphrase a couple of old adages, we all learn from our mistakes and our experience. But in today’s bumpy and fast-changing business landscape, measuring performance can be tough; tougher still if yours is a complex organization or industry. Whatever you’re looking at to gauge your firm’s performance—whether it’s customer satisfaction, say, or repeat purchases—your measures might well be less than perfect. And that’s because of noise—abstruse or unreliable data that makes it hard to unpack key metrics accurately and to learn from them. How successful a firm is in negotiating this performance measure noise depends on how that firm learns, said Kristy Towry, John and Lucy Cook Chair and professor of accounting at Goizueta Business School. She has led a study that looks at the way organizations and the people in them manage their learning. And she finds that we’re way more adept at cutting through the noise when we learn from each other, rather than basing our learning on our own firsthand experience. What the study found: What Towry and her colleagues found was that when there’s a lot of noise in the data we’re working with, our strategic learning is considerably improved when our learning is vicarious—that’s to say, when we learn from each other. This is down to how much of the big picture we see, said Towry. And experiential learning can make us myopic. “We know from psychology and from the results of this study that experiential learning—basing what we learn mainly off our own firsthand experience—can limit us. Experience tends to make us over-focus on what is happening in the here and now or what has just happened. We forget what happened before and don’t build that into our decision-making.” Vicarious learning, on the other hand, helps us to see the bigger picture. “When we’re learning from each other, it’s also experiential, but the learning is augmented by other people’s experience, meaning that we have a broadened perspective," said Towry. "We’re better able to see the big-picture patterns and trends.” When there’s a lot of noise and complexity to negotiate, vicarious learning helps us make better decisions. And this has huge implications for businesses operating in today’s environment. “Our world is not cut and dried at the best of times. Right now we are dealing with the COVID-19 crisis and the fallout on world economies and trade. The business context for most firms operating in this context is very far from stable, so we can assume there’s a lot of complexity and noise affecting our performance indicators. And with so much change afoot, the experiences we are all having in the workplace are what I would call fairly idiosyncratic,” said Towry. “Business leaders should be very aware of this.” To optimize strategic learning and thrive in complexity, firms need to find ways to allow vicarious learning to happen, she said. That means thinking about how to break down barriers to knowledge sharing, be they organizational silos or emerging challenges associated with things like remote working. Sharing information, insight, and understanding is essential. Kristy L. Towry is John and Lucy Cook Chair and Professor of Accounting at Emory University's Goizueta Business School. To learn more about this research or to talk with Kristy – simply click on her icon now to arrange an interview today.
Businesses must have a strategy for a messy tomorrow
John Kim is a Senior Lecturer in Organization & Management at the Goizueta Business School at Emory University. He is a management consultant with more than 20 years of experience working with executives to make difficult decisions and implement sustainable change. Recently, John published a piece that details a ‘Strategy for a messy tomorrow’ where he outlines how businesses must have a strategy development and implementation for an unpredictable business world. The piece is attached and a must read, especially in these turbulent and unpredictable economic times. In the article, he focuses on three key points: 1.Beware of False Choices “One thing we try to teach here at the business school is to be careful of false choices. Business is incredibly dynamic. Every industry is now a technology business, and the corporate playbook that evolved to protect profits is quite outdated.” Kim notes that Thomas Friedman poetically described this new normal in his 2005 book The World is Flat, and over the last 15 years, competition has only accelerated because of the explosion of two resources: cheap money and data. Kim notes that it’s a great environment to start or fund a business because interest rates have been low for the last 10+ years. There are dozens of new entrants in all industries, and all parts of the value chain, who are often well-funded, flexible, and are not weighed down by legacy business models and assets. The big winners are the customers who have increasing choice, lower prices, and great value capture. 2.The Challenging Environment From his corporate experience, Kim sees two significant challenges to strategy implementation. First, senior leaders turn over quickly. “It’s hard to have consistency of vision and leadership and implementation when there is such a movement in the C-suite with someone moving in and someone moving out every 5–6 months. So, it’s not a surprise that a lot of strategies either don’t follow through or there are too many cooks in the kitchen, and strategy gets a little bit muddled as a result.” Secondly, when the strategy does eventually make it to the ground-floor and needs to be executed, things have often moved on, and the market responses are rarely the ones you expect. Riffing on Peter Drucker’s famous quote on uncertainty, Kim explains to his students that, “Instead of trying to think of something brilliant to do tomorrow, why don’t you think of something very actionable today that prepares us for what we know will be a totally messy, crazy, unpredictable tomorrow.” 3.A Business Executive’s Response The business executive’s job is to not only set the direction, build a climate of trust, and create the energy for change—but also to be willing to test the assumptions and constraints around a given problem. Increasingly the answers will lie outside of a given industry, and thus require leaders to be broader in their horizon-scanning and more open to alternative paths forward. If you are interested in learning more about why business do indeed need a a strategy for a messy tomorrow – the let us help. John Kim is available to speak regarding this topic – simply click on his icon now to arrange an interview today.
Playing dirty in 2020 – but does negative advertising actually work in elections?
2020 has been a historic year – on so many fronts. And as the summer of an election year approaches – soon we will be inundated with speeches, policies, promise and advertisements for what might be the most hotly contested and divisive election on record. Political advertising comes in many forms. Social media will be the new battle ground but hundreds of millions of dollars will be spent between now and November in traditional areas like television, radio and print. As we all know, no one ‘wants’ to go negative. In fact, most campaigns make (and soon break) their first promise to run a clean and positive campaign. But usually, the inevitable happens and the ads go negative. Now that the June primaries are in the books except for the June 23 runoffs, the countdown to November’s election is underway. You’ll gradually see more and more political advertising. On the state and national levels, most of the pitches to date have been building up a particular candidate. Negativity has not been at the level of elections in the past. Look for that to change. It was true then and it will be true now. Writing ahead of the 2018 midterm election, a reporter for InsideSources.com, Andrew Solender, cited a study shedding light on why negative advertising is so prevalent in elections. Michael Lewis and David A. Schweidel of Emory University and Yanwen Wang of the University of British Columbia initially planned to look at using social media as a tool for predicting election results. But as social media rapidly became commonplace in elections, they shifted their focus to the impact and efficacy of negative advertising, a staple of elections. “For forever, voters have expressed disgust with the level of negative advertising,” Lewis said, “but we see a lot of it. So, [the question was] does it actually work?” According to the data their study produced, it does. But under certain conditions. Looking at correlations between the volume of negative ads and the vote shares achieved by U.S. Senate candidates in 2010 and 2012, the researchers found that “while positive political advertising does not affect two-party vote share, negative political advertising has a significant positive effect on two-party vote shares.” However, they also found that the source of the ads makes a difference in the ads’ efficacy, noting “negative advertising sponsored by PACs is significantly less effective than that sponsored by the candidate or party in affecting two-party vote shares.” June 18 - The Times and Democrat The road to the White House, and just about every other elected office up for grabs this November will be under heavy scrutiny and lots of coverage. If you’re a journalist covering this topic – then let our experts help. Professor Michael Lewis is an Associate Professor of Marketing at Emory University’s Goizueta Business School. Professor Lewis is an expert in political marketing and is available to speak to media – simply click on his icon to arrange an interview today.
BLOOMINGTON, Ind. -- During the pandemic, the amount of screen time for many people working and learning from home as well as binge-watching TV has sharply increased. New research finds that wearing blue-light glasses just before sleeping can lead to a better night's sleep and contribute to a better day's work to follow. "We found that wearing blue-light-filtering glasses is an effective intervention to improve sleep, work engagement, task performance and organizational citizenship behavior, and reduced counterproductive work behavior," said Cristiano L. Guarana, assistant professor of management and entrepreneurship at the Indiana University Kelley School of Business. "Wearing blue-light-filtering glasses creates a form of physiologic darkness, thus improving both sleep quantity and quality." Most of the technology we commonly use -- such as computer screens, smartphones and tablets -- emits blue light, which past research has found can disrupt sleep. Workers have become more dependent on these devices, especially as we navigate remote work and school during the coronavirus pandemic. The media have recently reported on the benefits of blue-light glasses for those spending a lot of time in front of a computer screen. This new research extends understanding of the circadian rhythm, a natural, internal process that regulates the sleep-wake cycle and repeats roughly every 24 hours. "In general, the effects of wearing blue-light-filtering glasses were stronger for 'night owls' than for 'morning larks,' said Guarana, who previously has studied how lack of sleep affects business decisions, relationships and other behaviors in organizations. "Owls tend to have sleep periods later in the day, whereas larks tend to have sleep periods early in the day. "Although most of us can benefit from reducing our exposure to blue light, owl employees seem to benefit more because they encounter greater misalignments between their internal clock and the externally controlled work time. Our model highlights how and when wearing blue-light-filtering glasses can help employees to live and work better." The findings appear in the paper, "The Effects of Blue-Light Filtration on Sleep and Work Outcomes," published online by the Journal of Applied Psychology. Guarana is the corresponding author; his co-authors are Christopher Barnes and Wei Jee Ong of the University of Washington. The research found that daily engagement and performance of tasks may be related to more underlying biological processes such as the circadian process. "Our research pushes the chronotype literature to consider the relationship between the timing of circadian processes and employees' performance," the researchers wrote. A good night's sleep not only benefits workers; it also helps their employers' bottom lines. "This study provides evidence of a very cost-effective means of improving employee sleep and work outcomes, and the implied return on investment is gigantic," said Barnes, professor of management and the Evert McCabe Endowed Fellow at the University of Washington's Foster School of Business. "I personally do not know of any other interventions that would be that powerful at that low of a cost." Across two studies, researcher collected data from 63 company managers and 67 call center representatives at Brazil-based offices for a U.S. multinational financial firm and measured task performance from clients. Participants were randomly chosen to test glasses that filtered blue light or those that were placebo glasses. "Employees are often required to work early mornings, which may lead to a misalignment between their internal clock and the externally controlled work time," the researchers said, adding that their analyses showed a general pattern that blue-light filtration can have a cumulative effect on key performance variables, at least in the short term. "Blue-light exposure should also be of concern to organizations," Guarana said. "The ubiquity of the phenomenon suggests that control of blue-light exposure may be a viable first step for organizations to protect the circadian cycles of their employees from disruption." Researchers received no financial support or compensation for this research. The glasses were donated by the Austin, Texas-based company Swanwick.
You might have heard of the beer distribution game. The idea is that a group of participants enact a four-stage supply chain scenario. Some take on the role of those at the point of origin in the supply chain – the upstream agents: manufacturers and distributors. Others role-play the downstream agents at the other end of the chain – the distributors and end-customers: in this case, let’s say the bar owners and beer drinkers. The goal is simple. All you have to do is produce, deliver and sell the beer to your customers, while keeping your costs on back orders and inventory to a minimum. This should be easy enough, in theory. The basic rules of economics suggest that customer demand dictates supply. In practice, however, things can get a little skewed. And this disconnect can happen fast. For a start, players have limited information. They can only see what’s in front of them – bits of paper with order numbers. And as they start to share this information with each other, all kinds of coordination issues arise. Things start to go wrong. Customer demand for X or Y kegs of beer is imperfectly relayed to the bar owner retailer, who in turn passes it on the other players upstream, but makes mistakes in doing so. The result is a kind of Chinese Whispers where confusion reigns, poor decisions are made about stock, too much or too little beer is manufactured or supplied. You end up with increased costs in the supply chain, and, not to mention thirsty beer drinkers. The beer game is just that – a game. But it represents a problem that is all too familiar to suppliers in most industries and sectors. It’s called the Bullwhip effect, and it’s a conundrum. “The Bullwhip effect is a real challenge for suppliers in every industry,” said Nikolay Osadchiy, associate professor of Information Systems & Operations Management at Goizueta Business School. “Because demand information gets distorted along the chain, suppliers can see a lot of volatility at their end which can translate into more inventory and drives up costs. It’s a really pressing issue that needs to be addressed.” Osadchiy and his colleagues Bill Schmidt from Cornell University and Jing Wu from the Chinese University of Hong Kong got to work researching the idea. First, they modeled a supply network based on 15 years of data from publicly traded companies across the globe. Second, they determined the ‘upstreamness’ that different firms had – or the positions they occupy – within that network. And third, they examined the demand distortion within each firm and measured demand variability across the different layers of the network to determine how they affect each other. The results of their work were all captured in the article attached below – the information was quite compelling and will greatly assist businesses as they plan their way through and after a globe-shifting event like COVID-19. It’s interesting material for sure – and if you are a journalist looking to know more about supply chains and how businesses will need to adapt in order to survive post-pandemic, then let our experts help with your questions and coverage. Nikolay Osadchiy is an Associate Professor of Information Systems & Operations Management at Emory University's Goizueta Business School. He is an acclaimed expert in the areas of supply chain management and how supply networks affect risk and operational performance. Nikolay is available to speak with media regarding this topic – simply click on his icon to arrange an interview today.
Taking SD-WAN QoS to the Next Level
Backhauling traffic to a corporate data center has been a defacto approach for ensuring full security treatment across all users and applications. But QoS took a hit when services started moving to the cloud. Michael Cooney, Senior Editor at Network World describes how SD-WANs have provided a solution for that in his article entitled "Fannie Mae’s journey to SD-WAN means less reliance on MPLS and VPNs." In that article, Ken Reddick, Director of Network Engineering at Fannie Mae says “What we are moving to is a cloud-edge environment where user traffic is now sent directly where it needs to go without hitting the data center, and what that has brought us is a four-fold increase in network performance and cut latency by 50%.” SD-WANs are providing a valuable new approach for delivering optimal connectivity between end-users and cloud services, however QoS is still ultimately determined by the underlying physical networks. To take QoS to the next level will require a next generation physical network that is designed to deliver highly predictable end-to-end bandwidth and ultra-low latency. Network designs such as AcceleRoute achieve this through a bufferless architecture that eliminates congestion in the network core. Low latency bandwidth can be dynamically scaled up or down in real-time based on traffic load. Networks such as AcceleRoute provide an ideal underlay network option for SD-WANs by delivering consistently superior service levels regardless of traffic and geography For more information about AcceleRoute, contact: Lesley Gent Director Client Relations, InventionShare™ lgent@InventionShare.com (613) 225-7236, Ext 131 Or visit our website at www.InventionShare.com
Workplaces are changing – and with America adjusting and adapting to the new realities of COVID-19, how teams are managed and how leaders are portrayed is also in a state of evolution. Georgia Southern’s Steven Charlier was recently interviewed by the BBC – and was featured in an article that focused on the differences between leadership skills and how they come across in-person and on-line. “Fifteen years ago, Steven Charlier, chair of management at Georgia Southern University in the U.S., had a hunch that in-person charisma and leadership skills don’t translate virtually. “Before I became an academic, I worked for IBM for a number of years on a lot of virtual teams,” he says. “I had a boss who was a wonderful guy and great manager, and he drove me crazy trying to communicate. He was incredibly slow and unresponsive.” This seed of professional vexation has borne fruit, with new data showing that the confidence, intelligence and extroversion that have long propelled ambitious workers into the executive suite are not enough online, because they simply don’t translate into virtual leadership. Instead, workers who are organised, dependable and productive take the reins of virtual teams. Finally, doers lead the pack – at least remotely. Georgia Southern’s Charlier is not surprised to find a wide gulf between the behaviors of in-person and remote leaders. “In any leadership role, you’ve got to establish that trust. It’s trusting that the person is going to do things,and trusting that they’re telling the truth and being up front and honest. But how you go about doing that virtually is a little different – it’s a different skill set.” This is a fascinating topic and one that will be top of mind as America begins a new era of remote working. And if you are a journalist looking to follow up on this topic – then let our experts help. Steven Charlier is an expert in project management and virtual teams on project-based work and how technology influences how we work and lead within organizations. He’s available to speak with media about this very interesting topic – simply click on his icon to arrange an interview.
