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04.17.19

6 Tips to Improve Your Hiring Process

6 Tips to Improve Your Hiring Process

ONE OF THE MOST significant ways a leader can impact their business is through the quality of their hiring, yet this is rarely listed as a critical leadership competency and often overlooked. In my experience, this is usually because the impact is not as immediately visible as for example when they make an investor presentation that goes badly or fails to convince the Board during a key presentation.

Yet the cost of poor hiring is considerable, not just in terms of hiring unsuitable candidates (time, money, reputation, impact on colleagues) but also in terms of the damage poor hiring processes can have on your organization. Candidates who experience an unsatisfactory hiring experience are considerably less likely to accept a job offer (especially the top quality hires facing a choice of offers that you will be most wanting to attract); and in addition candidates will share their hiring experience which will put off other applicants thus reducing your talent pool and also potentially impacting your reputation and brand image with current and potential customers.

The case for improving hiring competence within leaders and the organization is strong and here are six tips that will help you improve your hiring process and your quality of hiring:
  1. Calculate your cost of a poor hire. This will help set a clear business case for investing in improving your hiring hit rate. Costs include direct costs (time involved in hiring, interviewing and relocation expenses, salary during the learning phase in the role), indirect costs (impact on organization reputation of an incompetent or unmotivated employee, impact on colleagues of a poor hire) and opportunity costs (the difference between the contribution of this individual and a high performing individual).

  2. Invest in training for all hiring managers. Consider making this training compulsory for anyone involved in hiring and go one step further by requiring a level of competence to be demonstrated before authorizing the manager to undertake hiring for the organization. This may sound tough, but would you allow an unqualified electrician to rewire your home? Yet we allow unqualified managers to engage in hiring activities that not only may result in poor hiring decisions, and related costs, but also damage your reputation in the hiring, and wider, market place.

  3. Review your hiring process. Are all the elements properly templated so that you can perform consistently? How do you make hiring decisions? What information do you collect to inform these decisions? You should have quality job descriptions for all your roles which clearly describe the expected outcomes and performance. In addition, you should specify the skills, experience, and competencies required for superior performance. If these are not defined, you cannot hire to them, and your people cannot develop toward them. Consider expanding your selection process from a traditional face to face interview to include appropriate psychometrics, practical tests or experiences (coding, phone work, etc.) and behavioral or competency based interviewing techniques.

  4. Measure the effectiveness of your hiring. Measure the hiring process, including time to hire, cost of hire, quality of talent pool, time to become effective, etc. but also your hiring decisions, quality of candidates taken on in both the short and longer term. Make a habit of predicting the short and long term performance of your hires and then evaluating the accuracy of your predictions. Don’t limit yourself to external hires but include internal moves and promotions. Measure your retention and loss of talent.

  5. Review your talent attraction strategy and approach. How well does your website attract and communicate with potential hires? How well does your company communicate and live up to its employee value proposition to its existing employees? How well is this communicated and evidenced to potential hires? Evaluate your company both as an employer and a hirer – they are different. Put together an action plan for improvement.

  6. Invest in a strong onboarding process. Onboarding is frequently overlooked when hiring. Yet it can make the difference between a successful hire and a poor hire. Strong onboarding will shorten the time to effectiveness of a new hire which will impact on your bottom line. Also, it will increase the engagement of your new hire which improves your retention. Retention starts with the hiring process (did the hiring experience itself create a sense of connection with the company). It is strongly impacted by a new hire’s experience on their first day in the job and their first 90 days. Ensure that your onboarding processes give your new hire the best possible chance of success and your company the best possible chance of retaining them.


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Leading Forum
This post is by Lisette Howlett. She  is the author of The Right Hire:  Attract And Retain The Best People, a licensed Sandler Trainer located in London Central, and she has fifteen years of global change leadership and business development experience. Howlett is called upon by business owners of small and medium-sized companies for strategy and business development. Her experience includes financial services, technology, pharma/biotech, manufacturing, IT, media, recruitment, and professional services. 

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Global Achievement Gap Hiring for Attitude

Posted by Michael McKinney at 12:01 AM
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04.15.19

5 Insights to Managing Chaordic Tension

5 Insights to Managing Chaordic Tension

CONDUCTING your own orchestra. Running your own ship. Self-employment. Putting your stamp on the world. Entrepreneurship is a great, noble profession. However, failure rates are well documented. According to the Small Business Administration, about half of all businesses fail within five years (PDF). Some statistics show even higher failure rates.

Are entrepreneurial endeavors really that risky? The answer is complicated. Intuitively, yes, entrepreneurship is a risky career path. But on the other side of that equation is the influence of sound business practices, planning, due diligence, and adaptability on business success. I’ve coached literally thousands of entrepreneurs in my twenty years in higher education and the business world, and have owned multiple businesses during that time. Between my research and that experience, I’ve developed some insights into what makes a venture a success or a failure.

Visa’s founder, Dee Hock, coined the phrase chaordic tension to describe the tug of war between order and chaos in organizations. Managing this tension is the key to success in growing and stable organizations—regardless of industry, size, years in business, or profit motive. Here are my five insights on how to manage chaordic tension:

1. Idea people are more comfortable with risk.

I’m a big believer in the power of assessments. One of the assessment tools we use a great deal is the Basadur Innovation Profile. This instrument measures one’s preferences for engaging the innovation process. The results are presented in a four-quadrant model. People who prefer to use the information to come up with ideas (generators and conceptualizers) are on the right side of the vertical axis. These individuals are comfortable with ideas, ambiguity, and keeping their options open. Not surprisingly, our research indicates generators and conceptualizers are generally not all that scared of entrepreneurial risk and thus reported higher intentions to start an entrepreneurial venture.

2. Evaluative people can execute and sustain ventures.

According to the Basadur Innovation Profile, people who prefer to use information to judge or evaluate (optimizers and implementers) in the innovation process are on the left side of the vertical axis. These folks tend to frustrate the idea people, but their logic and sense of urgency to perform help entrepreneurs accomplish their dreams. As you can imagine, according to our research, evaluative people are much more hesitant to take risks, and thus report much lower intentions to start a new venture. This is where it gets interesting. We’ve also found that these evaluative types become much more comfortable with new ventures after creativity training and a better understanding of the ideation process. Not surprisingly, they also report higher intentions to start a business, or at least increased comfort with joining an entrepreneurial venture. They tend to like imaginative ideas. The important lesson here is that building cognitively diverse teams—who develop respect for and appreciation of their evaluative/ ideator opposites—is a key to success. The balance maintains company vibrancy while also advancing the business. More on these concepts in insights 4 and 5.

3. Assumptions and the value propositions must be validated—and developed accordingly.

As with most things in life, a little humility goes a long way, particularly when it comes to entrepreneurial ventures. Former Disney Parks and Resorts executive, Lee Cockerell, often says that feedback is a gift. I happen to think feedback is an especially helpful display of generosity when money is involved. Generators and conceptualizers are generally not overly offended by customer and employee feedback, so they can be more nimble in terms of pivoting the offering and value proposition. On the flip side, optimizers and implementers know when to forge ahead with a workable business model and generate all-important revenue and profits. The yin and the yang of these two distinctly different ways of using information is an important component of failing fast (a lean startup) while also moving the venture in a forward direction.

4. Quirkiness makes startups special, but transitioning to professionalism grows and sustains businesses.

Entrepreneurial ventures live on the edge. Open office concepts, bikes hanging from the ceiling on makeshift pulleys, and quirky props and toys are pretty much the norm in startups with high-growth potential (especially ones started by generators!). Flywheel in Omaha, Nebraska even has an open beer and wine fridge in its main office. Here’s the thing: Ventures that grow and maintain success will develop some level of professionalism by creating systems and processes that create some order. And it’s optimizers and Implementors who lead the charge when it comes to establishing order and professionalism.

5. Companies with longevity preserve entrepreneurial spirit.

Not to be confusing, but having just praised professionalism and order, I’d be remiss if I didn’t close by stressing the importance of preserving the entrepreneurial spirit of growing and stabilized ventures. One of the key ingredients of successful entrepreneurial ventures is the quirky, free-spirited culture they have. They use their personalities as fuel to escape the challenges of the unknown. Losing this is essentially losing one of the company’s most sacred competitive advantages. It’s as if the heart of the organization just stops beating one day.

I recently visited the Flywheel headquarters in Omaha. Since its 2012 inception, the company has grown into a gazelle with more than two hundred employees. It has raised several million dollars in venture capital, and its Local by Flywheel platform has reached more than one hundred and fifty thousand downloads. Talking with Dusty Davidson, one of the founders, I discerned that the company is a poster child for mastering that challenging balance between order and chaos, and stifling institutionalization versus free-flowing entrepreneurial spirit.

How does Flywheel do it? It honors both the necessity of systems and processes (order) to build an efficient business model, and the sacred importance of quirky personalities and the free flow of ideas. Finally, Flywheel built a balanced team that holds each other accountable for staying true to these two distinctly different but equally important paradigms. Davidson’s message would be that you too can accomplish this—with intentional team-building, humility, adaptability, and a careful dose of professionalism.

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Leading Forum
This post is by Rob Mathews. He is the Director of the Institute for Entrepreneurship and Free Enterprise at Ball State University, USA. He is the author with Michael G. Goldsby of Entrepreneurship the Disney Way. Through the lens of Disney, the reader learns the fundamentals of entrepreneurship, innovation, and leadership. The book also provides the opportunity to take the Entrepreneurial Leadership Instrument, which measures one’s style in leading entrepreneurial ventures. Learn more at www.ELProfile.com.

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Art of Perfect Timing FrameworkOrganizationalTensions

Posted by Michael McKinney at 11:15 AM
| Comments (0) | Problem Solving

04.05.19

Why Leaders Need to Think More Like Professional Gamblers

Why Leaders Need to Think More Like Professional Gamblers

ONE OF the unfortunate side effects of living in an age of accelerating technology is having to deal with increased uncertainty. When faced with uncertainty, how should leaders react? Should they make a big bet, hedge their position, or just wait and see?

We tend to see situations in one of two ways: either events are certain and can, therefore, be managed by planning, investment, and reliable budgets; or they are uncertain, and we cannot manage them.

You can, however, embrace uncertainty by adjusting your views as new information becomes available. In order to do that, you need to learn something about Thomas Bayes, an English clergyman, and mathematician who proposed a theorem in 1763 that would forever change the way we think about making decisions in ambiguous conditions.

Bayes was interested in how our beliefs about the world should evolve as we accumulate new but unproven evidence. Specifically, he wondered how he could predict the probability of a future event if he only knew how many times it had occurred, or not, in the past. To answer that, he constructed a thought experiment.

Imagine a billiard table. You put on a blindfold, and your assistant randomly rolls a ball across the table. They take note of where it stops rolling. Your job is to figure out where the ball is. All you can really do at this point is make a random guess.

Now imagine that you ask your assistant to drop some more balls on the table and tell you whether they stop to the left or right of the first ball. If all the balls stop to the right, what can you say about the position of the first ball? If more balls are thrown, how does this improve your knowledge of the position of the first ball? In fact, throw after throw, you should be able to narrow down the area in which the first ball probably lies. Bayes figured out that even when it comes to uncertain outcomes, we can update our knowledge by incorporating new, relevant information as it becomes available.

Many years later, French mathematician Pierre-Simon Laplace developed Bayes’s idea into a powerful theory, which we now know as the Bayes Theorem. Here is a simple explanation of it.

Beginning with a provisional hypothesis about the world, assign to it an initial probability of that event happening, called the prior probability or simply the prior. After collecting new, relevant evidence, recalculate the probability of the hypothesis in light of the new evidence. This revised probability is called the posterior probability.

You can find evidence of Bayesian thinking throughout modern history, from nineteenth-century French and Russian artillery officers adjusting their cannons to Alan Turing trying to crack the German Enigma codes. Bayes has even influenced the design of machine learning techniques, notably the naive Bayes classifier.

Bayes is relevant to modern leaders because it can help them develop an approach to uncertainty that is less deterministic and more probabilistic. Even when events are determined by an infinitely complex set of factors, probabilistic thinking can help you identify the likeliest outcomes, and so make the best decisions. Viewing the information probabilistically enables you to describe one of many possible outcomes, some more or less likely than others.

One of the key advantages of thinking probabilistically is that it equips you with a more critical perspective to evaluate new data as it becomes available. Data can be imperfect, incomplete, or uncertain. There is often more than one explanation for why things happened the way they did; by examining those alternative explanations using probability, you can gain a better understanding of causality and what is really going on.

Deterministic models produce a single solution that describes the outcome of an experiment given appropriate inputs; in other words, for every possible input, there is a single output. A probabilistic model distributes over all possible solutions and provides some indication of how likely it is that each will, might, or can occur.

The human mind is naturally deterministic. We generally believe that something is true or false. Either you like someone, or you don’t. There is rarely a situation when you can say that there is a 46 percent probability that someone is your friend. In fact, unless you are a teenager and have a lot of frenemies, you are probably quite deterministic about your social circle. Our instinct for determinism may well have been an evolutionary innovation. To survive, we had to make snap judgments about the world and our response to it. When a tiger is approaching you, there is really not a lot of time to consider whether he’s approaching as a friend or a foe.

However, the deterministic approach that kept our ancestors alive while hunting in the savannah won’t help you make good decisions in complex, unpredictable environments when your natural mental shortcuts and heuristics start to fail you. One of the best ways to embrace uncertainty and be more probabilistic in your approach is to learn to think like a professional gambler. Take, for example, Rasmus Ankersen.

Ankersen, a Dane living in London, originally came to the UK to look for an English publisher for his book on human performance, the writing of which had taken him from Kenya to Korea in search of why great athletes, whether they are runners or golfers, tend to come from the same small regions. One of the reasons he decided to stay in London was a chance meeting with a professional gambler named Matthew Benham.

Benham is a renowned, albeit somewhat inaccessible, figure in the British gambling world. After graduating from the University of Oxford with a physics degree, he went into securities trading, first at Yamaichi International and then at the Bank of America. This was followed by a stint working as a trader for Premier Bet with Tony Bloom, one of the most successful gamblers in the world. That inspired Benham to leave his day job and focus on gambling. He went on to start two successful gaming companies, Matchbook, a sports betting exchange community, and Smartodds, which provides statistical research and sports modeling services.

When Ankersen and Benham met, they started talking about how soccer (except, of course, they called it football) was a sport that was yet to be disrupted by data and probabilistic thinking. Benham was impressed enough to invite Ankersen to help run Brentford Football Club, which he had recently acquired. Soon after, Benham also bought Midtjylland, the soccer club in Ankersen’s hometown.

Ankersen’s insight was this: soccer is one of the world’s unfairest sports. Although there is a saying that “the league table never lies,” in Ankersen’s opinion that is exactly what it does. Because soccer is a low-scoring sport, the win/loss outcome of a game is not an accurate representation of the actual performance of a team, and therefore the intrinsic value of its players. From a professional gambler’s perspective, the key to placing a good bet is to continually update your position with relevant insights that impact the probability of an event occurring. Rather than trying to be right, gamblers try to be less wrong with time.

Benham and Ankersen started to use the scientific application of statistics—the “Moneyball” technique pioneered in baseball— when assessing the performance of a team. Their key performance metric became “expected goals” for and against a team, based on the quality and quantity of chances created during a match. The point of this exercise was to develop an alternative league table, which might serve as a more reliable predictor of results and a better basis on which to value and acquire players. As an algorithmic leader, you will also find having a probabilistic mindset useful, and not just when you want to place a bet in the office fantasy soccer competition. Let’s consider a few examples.

A probabilistic HR manager will examine the data about where a company’s best people come from and how they perform throughout their career to identify new sources of talent that may have been overlooked.

A probabilistic sales professional will be conscious that it’s not enough to simply close lots of deals; it’s important to also think about where leads come from. How many opportunities were created organically, as opposed to being fed through an existing pipeline? How many new customers churn after just a few months? By understanding the data around which leads go on to become great customers, a sales leader can then work closely with their marketing colleagues to figure out new sources of potential customer prospects.

Probabilistic risk managers will think about the future of how they work. While their job may have been setting or applying strict credit policies in the past, they may now start to wonder whether their traditional credit rating models are still effective. Are there low-risk segments in their customer base that they may have missed and that a new competitor may be able to target?

Developing a probabilistic mindset allows you to be better prepared for the uncertainties and complexities of the algorithmic age. Even when events are determined by an infinitely complex set of factors, probabilistic thinking can help us identify the most likely outcomes and the best decisions to make.

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Leading Forum
This post is by Mike Walsh. Walsh is the author of The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You from which this article is excerpted. Walsh is the CEO of Tomorrow, a global consultancy on designing companies for the 21 st century.

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9 Behaviors of Great Problem Solvers Creating Great Choices

Posted by Michael McKinney at 07:16 AM
| Comments (0) | Problem Solving

04.03.19

Will Artificial Intelligence Take Your Job?

Will Artificial Intelligence Take Your Job

A PEW RESEARCH CENTER study found that Americans are roughly twice as likely to express worry (72%) than enthusiasm about a future in which robots and computers are capable of doing many jobs that are currently done by humans. Of course, people have always worried that technology would take over their job.

Gutenberg’s press probably created more social upheaval than any technological advancement has yet to do today. The sixteen-century Vicar of Croydon warned, “We must root out printing or printing will root us out.” A dire situation indeed.

The term artificial intelligence first appeared in an article by Stanford professor John McCarthy in 1979. Ever since, artificial intelligence or cognitive technologies as it is often referred to, have been slowly developing in capability and application. Thomas Davenport states in The AI Advantage that, “AI is a largely analytical technology, and that for most organizations working with AI is a straightforward extension of what they do with data and analytics.” He notes:
Artificial Intelligence isn’t going to transform the work of organizations—or the lives of individuals—as fast as many people seem to expect. It will be one of the many technologies that comply with Amara’s Law (named after the scientist and futurist Roy Amara):

We tend to overestimate the effect of technology in the short run and underestimate the effect in the long run.

In the short run, AI will provide evolutionary benefits; in the long run, it is likely to be revolutionary.

While the estimates vary between 5 and 47 percent of jobs to be lost to automation, Davenport believes it will be much closer to 5 percent. What he sees happening is something quite different. Rather than large-scale automation, he believes we will see large-scale augmentation or “smart humans working in collaboration with smart machines.” Why? A few of the reasons he gives are:

First, AI tends to support or automate tasks, not entire jobs.

Second, most managers neither want nor expect large-scale automation. We have seen chatbots and cognitive-engagement apps in customer service and sales, but they are not taking away jobs. Rather they are allowing these functions to handle more without adding staff. “Some organizations are planning to transition customer-support personnel to more complex activities that bots can’t yet do including handling customer issues that escalate, conducting extended unstructured dialogues, or reaching out to the customer before they can call in with problems.”

Third, massive automation will not take place based on our experience from previous generations of technology. For example, there are about the same number of bank tellers despite the introduction of ATMs and internet home banking technologies.

Fourth, what we see are new roles and skills emerging as people find new jobs and tasks to perform when previous tasks are taken over by automation.

Finally, a lot of entirely new jobs will be created. “New jobs created by AI will fall into three categories: trainers, explainers, and sustainers.”

What Can We Do?

Broadly speaking there some skills that will be valuable in the workforce to collaborate and maximize your value.

Being Conversant with How Machines Think

“Knowing the logic and flow of a computer system is important for anyone who works alongside or oversees smart machines. Acquaintance with how systems think can be helpful in troubleshooting, understanding limitations, and explaining the operation of cognitive technologies.”

Having an Understanding of Analytics and Data Structures

“Understanding statistics, data structures, and how to make decisions from them will be of help to anyone seeking to work with AI.”

Becoming Familiar with Different Types of AI

Especially for those who seek managerial roles, this knowledge is essential. “It is impossible for someone to sponsor and implement a project involving image recognition, for example, if they don’t know that deep learning is the most likely method to doing a good job of it.”

Having Domain Knowledge of the Business and Industry

“Anyone who wants to work alongside smart machines in a business will need to understand not only the machines themselves, but also the aspects of the business to which they are applied.”

Possessing A Strong Ability to Communicate

This skill cannot be stressed enough. “As machines take on more decisions and actions, one of the key tasks left for human workers is effectively communicating the outcomes of machine activities to other humans.”

Having High Levels of Emotional Intelligence

Computer systems don’t possess much in the way of emotional intelligence. “That means humans have a competitive advantage in the workplace if they are perceptive, sensitive, and insightful about human emotions.”

To maintain your advantage, you need to always be learning too. Curiosity wards off defensiveness and keeps you ahead of the curve. So always be learning.

Davenport has written an interesting book and covers other aspects of the cognitive technologies such as cognitive strategy, and managing the organizational, social, and ethical implications of AI.

AI is really nothing more than the manipulation of data. Understanding the questions to ask, how to put it together, and interpreting what it means, will be critical functions in the future. Instead of pushing data, the need will be for those who can pull intelligence from it.

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The Mathematical Corporation Emerging Technology

Posted by Michael McKinney at 07:49 AM
| Comments (0) | Human Resources

04.01.19

First Look: Leadership Books for April 2019

Here's a look at some of the best leadership books to be released in April 2019. Don't miss out on other great new and future releases.

9781633696303Nine Lies about Work: A Freethinking Leader’s Guide to the Real World
Marcus Buckingham and Ashley Goodall

There are some big lies--distortions, faulty assumptions, wrong thinking--that we encounter every time we show up for work. Nine lies, to be exact. They cause dysfunction and frustration, ultimately resulting in workplaces that are a pale shadow of what they could be. But there are those who can get past the lies and discover what's real. These freethinking leaders recognize the power and beauty of our individual uniqueness. They know that emergent patterns are more valuable than received wisdom and that evidence is more powerful than dogma.



9781626346093The Coaching Effect: What Great Leaders Do to Increase Sales, Enhance Performance, and Sustain Growth
Bill Eckstrom and Sarah Wirth

The authors share three critical performance drivers, along with the four high-growth activities that coaches must execute to build a team that is motivated to achieve at the highest levels. Through both hard data and rich stories, Eckstrom and Wirth demonstrate how leaders can measure and improve their coaching to lead their teams to better results.



9781635652161Great Leaders Have No Rules: Contrarian Leadership Principles to Transform Your Team and Business
Kevin Kruse

Kevin Kruse debunks popular wisdom with ten contrarian principles for better, faster, easier leadership. Grounded in solid research and three decades of entrepreneurial experience, this book has one purpose: to teach you how to be both the boss everyone wants to work for and the high achiever every CEO wants to hire—all without drama, stress, or endless hours in the office



9781989025314Labyrinth: The Art of Decision Making
Leander Kahney

Every day, we make countless choices, yet we rarely stop to consider how we arrive at those decisions as we speed through our lives. In Labyrinth, leadership expert Pawel Motyl believes it’s time to take a closer look at how we make decisions―and learn how to decide better. Motyl digs into the series of decisions that led to some of the modern world’s most dramatic events: from the Cuban missile crisis to the 1996 Mount Everest climbing disaster; from the Apollo 13 rescue mission to the ill-fated Daimler–Chrysler merger. Along the way, he reveals 16 rules for effective decision-making that will challenge your pre-existing beliefs, and change your outlook forever.



9780262039574How Change Happens
Cass Sunstein

Sunstein focuses on the crucial role of social norms―and on their frequent collapse. When norms lead people to silence themselves, even an unpopular status quo can persist. Sometimes change is more gradual, as “nudges” help produce new and different decisions. And finally, he considers social divisions, social cascades, and “partyism,” when identification with a political party creates a strong bias against all members of an opposing party―which can both fuel and block social change.



For bulk orders call 1-626-441-2024
discounted books


Build your leadership library with these specials on over 39 titles. All titles are at least 40% off the list price and are available only in limited quantities.

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“No two persons ever read the same book.”
— Edmund Wilson


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Whats New in Leadership Books Leadership Classics

Posted by Michael McKinney at 08:08 AM
| Comments (0) | Books



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