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Why Engagement Happens In Employees' Hearts, Not Their Minds

Mark Crowley

Winning your employees over to stick with the company long-term involves an array of factors—but first among those is love.

What are the real drivers of human engagement in the workplace?

What are those things that consistently inspire people to fully commit themselves in their jobs and to willingly scale mountains for their bosses and organizations?

For the past 2+ years, I’ve been singularly focused on answering these big questions and to boiling answers down to a true bottom line. In the service of organizations everywhere, my singular mission has been to identify the few critical leadership practices that affect people so deeply that they become uncommonly loyal, committed, and productive.

And to distill all I’ve discovered down to just one word, what workers across the globe need in order to thrive and exceptionally perform in their jobs is love.

The use of the word “love” is, of course, a huge taboo in the context of business and management. But as you read on, you’ll soon see that the love I’m referring to has nothing to do with romance, sex, or religion. The love I’m speaking of relates to the experience of positive emotions—the foundation of human motivation.

Why we want more

We’ve long believed that a job and a paycheck provided sufficient motivation for people to remain fully committed at work. But as levels of engagement have fallen abysmally low all over the world, the evidence is irrefutably clear that people today want and need much more in exchange for their dedicated efforts. Here’s how we know:

For nearly three decades, Gallup Research and the Conference Board have been independently monitoring employee satisfaction and engagement in more than 100 countries. The lead scientists at both organizations personally shared with me all of their dominant findings.

I also visited the two organizations consistently recognized for being the best in the world at driving employee engagement. At software analytics firm SAS, and at Google, I met with the executive leaders who created the enlightened systems that have routinely made their firms extreme outliers in creating workplace happiness–all the while producing uncommon shareholder returns.

And desiring the broadest possible insight into current views on workplace management, I interviewed the founder of the Great Place To Work Institute, Robert Levering, positive psychology author Shawn Achor, and many leadership luminaries including John Kotter, Ken Blanchard, Spencer Johnson, and Adam Grant.

Drawing upon all I learned, my conclusions as to what will have the greatest impact on reversing our worldwide engagement crisis come down to just a few profoundly important revelations. As you might imagine, many of these directly challenge traditional managerial thinking:

We hear a lot about employee perks and are led to believe the more extravagant they are, the better they are in stimulating performance. With the exception of health care and on-site daycare (which make people feel valued), few other perks significantly influence engagement.

While it used to be that people derived their greatest sense of happiness from time spent with family and hobbies, how satisfied workers feel in their jobs now determines their overall happiness with life. This monumental shift means that job fulfillment has become essential to people everywhere.

The decision to be engaged is made in worker’s hearts—not minds. We now know that feelings and emotions drive human behavior—what people care most about and commit themselves to in their lives. Consequently, how leaders and organizations make people feel in their jobs has the greatest impact on their performance by far.

For centuries, most people went to work to get a paycheck, in order to put a roof over their heads and food on their table. But as a driver of engagement, pay now ranks no higher than fifth in importance to people—in every industrialized country. What truly inspires worker engagement in the 21st century can best be described as “emotional currency.” Here’s what that means:

Having a supervisor who cares about us, our well-being, and personal growth.

Without exception, bosses predominantly concerned about their own needs create the lowest levels of employee engagement. Going forward, having an authentic advocacy for the development and success of others should be prerequisite for selection into all leadership roles.

Doing work that we enjoy and have the talents to perform.

Selecting people who display passion for the work they’ll be doing is perhaps the most important step toward building a highly engaged team. People can’t ever be fully engaged if their hearts aren’t in the work.

Routinely feeling valued, appreciated, and having a deep belief that the work we do matters.

It’s highly destructive to people to have them strive and achieve, and to then have those contributions go unrecognized. Any company focused exclusively on driving profits—without a compelling mission—will inherently neuter engagement.

Having strong bonds with other people on the team, especially with our supervisors.

Feeling connected with and genuinely supported by others at work is a surprisingly significant driver of engagement and loyalty.

Why it all comes down to love

It was Gallup’s CEO Jim Clifton who first suggested to me that employee engagement is ultimately driven by something deeper. “I think you’re going to find that what people really are seeking in return for work is love,” he said.

There was no question in my mind that Clifton meant this in the most grown-up, truth-telling kind of way, and I was immediately determined to find the proof.

Fifteen years ago, University of North Carolina psychology professor Barbara Fredrickson began a formal study of the science of human emotions. Her conclusion today is that love, as our “supreme emotion,” affects everything human beings “feel, think, do, and become.” But it’s her meaning of love that provides the needed clarity:

“The definition that someone in business needs to understand is the simplest definition to start with,” she told me. “People have emotions that range from unpleasant to pleasant. Positive emotions are on that pleasant side. Historically, we’ve misunderstood love to be one of the positive emotions that range from joy, inspiration, interest, pride, and hope. But love is the feeling of any of those emotions co-experienced with another person or group.”

Fredrickson, who won the American Psychological Association’s Templeton Prize for Positive Psychology, and who is the author of Love 2.0, insists that the human body was designed to thrive on love—to live off of it—and that it changes how the brain works. “Love transforms people into making them more positive, resilient, optimistic, persistent, healthier, and happier,” she says. Conversely, “the body’s biochemistry is very negatively affected when it’s not consistently received.”

In relating her work to how it affects our understanding of employee engagement, Fredrickson explains that no emotion is long-lasting and people need to experience positive emotions frequently for engagement to remain high: “As eating one stalk of broccoli isn’t enough to make us healthy, we need a steady diet of these momentary connections to have an impact. And given that people spend more time at work than anywhere else, their ability to thrive is really dependent on them having these moments on the job.”

When I asked Fredrickson if her research confirms that a person’s engagement at work is both established and sustained by feelings of love, she insisted it’s true. “When people are made to feel cared for, nurtured, and growing, that will serve the organization well. Because those feelings drive commitment and loyalty just like it would in any relationship. If you feel uniquely seen, understood, valued and appreciated, then that will hook you into being committed to that team, leader and organization. This is how positive emotions work.”

So for any company or leader who dreams of building an exceptionally committed and productive team, I offer you my most informed advice:

“Love your people.”

Want more insight on employee engagement? See 6 Surprising Insights Of Successful Employee Engagement.

A version of this post was first published on FastCompany on 2/5/15.

The post Why Engagement Happens In Employees Hearts, Not Their Minds appeared first on TalentCulture.

Image credit : StockSnap.io

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How To Design Your Company’s Digital Transformation

Sam Yen

The September issue of the Harvard Business Review features a cover story on design thinking’s coming of age. We have been applying design thinking within SAP for the past 10 years, and I’ve witnessed the growth of this human-centered approach to innovation first hand.

Design thinking is, as the HBR piece points out, “the best tool we have for … developing a responsive, flexible organizational culture.”

This means businesses are doing more to learn about their customers by interacting directly with them. We’re seeing this change in our work on d.forum — a community of design thinking champions and “disruptors” from across industries.

Meanwhile, technology is making it possible to know exponentially more about a customer. Businesses can now make increasingly accurate predictions about customers’ needs well into the future. The businesses best able to access and pull insights from this growing volume of data will win. That requires a fundamental change for our own industry; it necessitates a digital transformation.

So, how do we design this digital transformation?

It starts with the customer and an application of design thinking throughout an organization – blending business, technology and human values to generate innovation. Business is already incorporating design thinking, as the HBR cover story shows. We in technology need to do the same.

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Design thinking plays an important role because it helps articulate what the end customer’s experience is going to be like. It helps focus all aspects of the business on understanding and articulating that future experience.

Once an organization is able to do that, the insights from that consumer experience need to be drawn down into the business, with the central question becoming: What does this future customer experience mean for us as an organization? What barriers do we need to remove? Do we need to organize ourselves differently? Does our process need to change – if it does, how? What kind of new technology do we need?

Then an organization must look carefully at roles within itself. What does this knowledge of the end customer’s future experience mean for an individual in human resources, for example, or finance? Those roles can then be viewed as end experiences unto themselves, with organizations applying design thinking to learn about the needs inherent to those roles. They can then change roles to better meet the end customer’s future needs. This end customer-centered approach is what drives change.

This also means design thinking is more important than ever for IT organizations.

We, in the IT industry, have been charged with being responsive to business, using technology to solve the problems business presents. Unfortunately, business sometimes views IT as the organization keeping the lights on. If we make the analogy of a store: business is responsible for the front office, focused on growing the business where consumers directly interact with products and marketing; while the perception is that IT focuses on the back office, keeping servers running and the distribution system humming. The key is to have business and IT align to meet the needs of the front office together.

Remember what I said about the growing availability of consumer data? The business best able to access and learn from that data will win. Those of us in IT organizations have the technology to make that win possible, but the way we are seen and our very nature needs to change if we want to remain relevant to business and participate in crafting the winning strategy.

We need to become more front office and less back office, proving to business that we are innovation partners in technology.

This means, in order to communicate with businesses today, we need to take a design thinking approach. We in IT need to show we have an understanding of the end consumer’s needs and experience, and we must align that knowledge and understanding with technological solutions. When this works — when the front office and back office come together in this way — it can lead to solutions that a company could otherwise never have realized.

There’s different qualities, of course, between front office and back office requirements. The back office is the foundation of a company and requires robustness, stability, and reliability. The front office, on the other hand, moves much more quickly. It is always changing with new product offerings and marketing campaigns. Technology must also show agility, flexibility, and speed. The business needs both functions to survive. This is a challenge for IT organizations, but it is not an impossible shift for us to make.

Here’s the breakdown of our challenge.

1. We need to better understand the real needs of the business.

This means learning more about the experience and needs of the end customer and then translating that information into technological solutions.

2. We need to be involved in more of the strategic discussions of the business.

Use the regular invitations to meetings with business as an opportunity to surface the deeper learning about the end consumer and the technology solutions that business may otherwise not know to ask for or how to implement.

The IT industry overall may not have a track record of operating in this way, but if we are not involved in the strategic direction of companies and shedding light on the future path, we risk not being considered innovation partners for the business.

We must collaborate with business, understand the strategic direction and highlight the technical challenges and opportunities. When we do, IT will become a hybrid organization – able to maintain the back office while capitalizing on the front office’s growing technical needs. We will highlight solutions that business could otherwise have missed, ushering in a digital transformation.

Digital transformation goes beyond just technology; it requires a mindset. See What It Really Means To Be A Digital Organization.

This story originally appeared on SAP Business Trends.

Top image via Shutterstock

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Sam Yen

About Sam Yen

Sam Yen is the Chief Design Officer for SAP and the Managing Director of SAP Labs Silicon Valley. He is focused on driving a renewed commitment to design and user experience at SAP. Under his leadership, SAP further strengthens its mission of listening to customers´ needs leading to tangible results, including SAP Fiori, SAP Screen Personas and SAP´s UX design services.

How Productive Could You Be With 45 Minutes More Per Day?

Michael Rander

Chances are that you are already feeling your fair share of organizational complexity when navigating your current company, but have you ever considered just how much time is spent across all companies on managing complexity? According to a recent study by the Economist Intelligence Unit (EIU), the global impact of complexity is mind-blowing – and not in a good way.

The study revealed that 38% of respondents spent 16%-25% of their time just dealing with organizational complexity, and 17% spent a staggering 26%-50% of their time doing so. To put that into more concrete numbers, in the US alone, if executives could cut their time spent managing complexity in half, an estimated 8.6 million hours could be saved a week. That corresponds to 45 minutes per executive per day.

The potential productivity impact of every executive having 45 minutes more to work every single day is clearly significant, and considering that 55% say that their organization is either very or extremely complex, why are we then not making the reduction of complexity one or our top of mind issues?

The problem is that identifying the sources of complexity is complex in of itself. Key sources of complexity include organizational size, executive priorities, pace of innovation, decision-making processes, vastly increasing amounts of data to manage, organizational structures, and the pure culture of the company. As a consequence, answers are not universal by any means.

That being said, the negative productivity impact of complexity, regardless of the specific source, is felt similarly across a very large segment of the respondents, with 55% stating that complexity has taken a direct toll on profitability over the past three years.  This is such a serious problem that 8% of respondents actually slowed down their company growth in order to deal with complexity.

So, if complexity oftentimes impacts productivity and subsequently profitability, what are some of the more successful initiatives that companies are taking to combat these effects? Among the answers from the EIU survey, the following were highlighted among the most likely initiatives to reduce complexity and ultimately increase productivity:

  • Making it a company-wide goal to reduce complexity means that the executive level has to live and breathe simplification in order for the rest of the organization to get behind it. Changing behaviors across the organization requires strong leadership, commitment, and change management, and these initiatives ultimately lead to improved decision-making processes, which was reported by respondents as the top benefit of reducing complexity. From a leadership perspective this also requires setting appropriate metrics for measuring outcomes, and for metrics, productivity and efficiency were by far the most popular choices amongst respondents though strangely collaboration related metrics where not ranking high in spite of collaboration being a high level priority.
  • Promoting a culture of collaboration means enabling employees and management alike to collaborate not only within their teams but also across the organization, with partners, and with customers. Creating cross-functional roles to facilitate collaboration was cited by 56% as the most helpful strategy in achieving this goal.
  • More than half (54%) of respondents found the implementation of new technology and tools to be a successful step towards reducing complexity and improving productivity. Enabling collaboration, reducing information overload, building scenarios and prognoses, and enabling real-time decision-making are all key issues that technology can help to reduce complexity at all levels of the organization.

While these initiatives won’t help everyone, it is interesting to see that more than half of companies believe that if they could cut complexity in half they could be at least 11%-25% more productive. That nearly one in five respondents indicated that they could be 26%-50% more productive is a massive improvement.

The question then becomes whether we can make complexity and its impact on productivity not only more visible as a key issue for companies to address, but (even more importantly) also something that every company and every employee should be actively working to reduce. The potential productivity gains listed by respondents certainly provide food for thought, and few other corporate activities are likely to gain that level of ROI.

Just imagine having 45 minutes each and every day for actively pursuing new projects, getting innovative, collaborating, mentoring, learning, reducing stress, etc. What would you do? The vision is certainly compelling, and the question is are we as companies, leaders, and employees going to do something about it?

To read more about the EIU study, please see:

Feel free to follow me on Twitter: @michaelrander

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About Michael Rander

Michael Rander is the Global Research Director for Future Of Work at SAP. He is an experienced project manager, strategic and competitive market researcher, operations manager as well as an avid photographer, athlete, traveler and entrepreneur. Share your thoughts with Michael on Twitter @michaelrander.

How Emotionally Aware Computing Can Bring Happiness to Your Organization

Christopher Koch


Do you feel me?

Just as once-novel voice recognition technology is now a ubiquitous part of human–machine relationships, so too could mood recognition technology (aka “affective computing”) soon pervade digital interactions.

Through the application of machine learning, Big Data inputs, image recognition, sensors, and in some cases robotics, artificially intelligent systems hunt for affective clues: widened eyes, quickened speech, and crossed arms, as well as heart rate or skin changes.




Emotions are big business

The global affective computing market is estimated to grow from just over US$9.3 billion a year in 2015 to more than $42.5 billion by 2020.

Source: “Affective Computing Market 2015 – Technology, Software, Hardware, Vertical, & Regional Forecasts to 2020 for the $42 Billion Industry” (Research and Markets, 2015)

Customer experience is the sweet spot

Forrester found that emotion was the number-one factor in determining customer loyalty in 17 out of the 18 industries it surveyed – far more important than the ease or effectiveness of customers’ interactions with a company.


Source: “You Can’t Afford to Overlook Your Customers’ Emotional Experience” (Forrester, 2015)


Humana gets an emotional clue

Source: “Artificial Intelligence Helps Humana Avoid Call Center Meltdowns” (The Wall Street Journal, October 27, 2016)

Insurer Humana uses artificial intelligence software that can detect conversational cues to guide call-center workers through difficult customer calls. The system recognizes that a steady rise in the pitch of a customer’s voice or instances of agent and customer talking over one another are causes for concern.

The system has led to hard results: Humana says it has seen an 28% improvement in customer satisfaction, a 63% improvement in agent engagement, and a 6% improvement in first-contact resolution.


Spread happiness across the organization

Source: “Happiness and Productivity” (University of Warwick, February 10, 2014)

Employers could monitor employee moods to make organizational adjustments that increase productivity, effectiveness, and satisfaction. Happy employees are around 12% more productive.




Walking on emotional eggshells

Whether customers and employees will be comfortable having their emotions logged and broadcast by companies is an open question. Customers may find some uses of affective computing creepy or, worse, predatory. Be sure to get their permission.


Other limiting factors

The availability of the data required to infer a person’s emotional state is still limited. Further, it can be difficult to capture all the physical cues that may be relevant to an interaction, such as facial expression, tone of voice, or posture.



Get a head start


Discover the data

Companies should determine what inferences about mental states they want the system to make and how accurately those inferences can be made using the inputs available.


Work with IT

Involve IT and engineering groups to figure out the challenges of integrating with existing systems for collecting, assimilating, and analyzing large volumes of emotional data.


Consider the complexity

Some emotions may be more difficult to discern or respond to. Context is also key. An emotionally aware machine would need to respond differently to frustration in a user in an educational setting than to frustration in a user in a vehicle.

 


 

download arrowTo learn more about how affective computing can help your organization, read the feature story Empathy: The Killer App for Artificial Intelligence.


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About Christopher Koch

Christopher Koch is the Editorial Director of the SAP Center for Business Insight. He is an experienced publishing professional, researcher, editor, and writer in business, technology, and B2B marketing. Share your thoughts with Chris on Twitter @Ckochster.

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In An Agile Environment, Revenue Models Are Flexible Too

Todd Wasserman

In 2012, Dollar Shave Club burst on the scene with a cheeky viral video that won praise for its creativity and marketing acumen. Less heralded at the time was the startup’s pricing model, which swapped traditional retail for subscriptions.

For as low as $1 a month (for five two-bladed cartridges), consumers got a package in the mail that saved them a trip to the pharmacy or grocery store. Dollar Shave Club received the ultimate vindication for the idea in 2016 when Unilever purchased the company for $1 billion.

As that example shows, new technology creates the possibility for new pricing models that can disrupt existing industries. The same phenomenon has occurred in software, in which the cloud and Web-based interfaces have ushered in Software as a Service (SaaS), which charges users on a monthly basis, like a utility, instead of the typical purchase-and-later-upgrade model.

Pricing, in other words, is a variable that can be used to disrupt industries. Other options include usage-based pricing and freemium.

Products as services, services as products

There are basically two ways that businesses can use pricing to disrupt the status quo: Turn products into services and turn services into products. Dollar Shave Club and SaaS are two examples of turning products into services.

Others include Amazon’s Dash, a bare-bones Internet of Things device that lets consumers reorder items ranging from Campbell’s Soup to Play-Doh. Another example is Rent the Runway, which rents high-end fashion items for a weekend rather than selling the items. Trunk Club offers a twist on this by sending items picked out by a stylist to users every month. Users pay for what they want and send back the rest.

The other option is productizing a service. Restaurant franchising is based on this model. While the restaurant offers food service to consumers, for entrepreneurs the franchise offers guidance and brand equity that can be condensed into a product format. For instance, a global HR firm called Littler has productized its offerings with Littler CaseSmart-Charges, which is designed for in-house attorneys and features software, project management tools, and access to flextime attorneys.

As that example shows, technology offers opportunities to try new revenue models. Another example is APIs, which have become a large source of revenue for companies. The monetization of APIs is often viewed as a side business that encompasses a wholly different pricing model that’s often engineered to create huge user bases with volume discounts.

Not a new idea

Though technology has opened up new vistas for businesses seeking alternate pricing models, Rajkumar Venkatesan, a marketing professor at University of Virginia’s Darden School of Business, points out that this isn’t necessarily a new idea. For instance, King Gillette made his fortune in the early part of the 20th Century by realizing that a cheap shaving device would pave the way for a recurring revenue stream via replacement razor blades.

“The new variation was the Keurig,” said Venkatesan, referring to the coffee machine that relies on replaceable cartridges. “It has started becoming more prevalent in the last 10 years, but the fundamental model has been there.” For businesses, this can be an attractive model not only for the recurring revenue but also for the ability to cross-sell new goods to existing customers, Venkatesan said.

Another benefit to a subscription model is that it can also supply first-party data that companies can use to better understand and market to their customers. Some believe that Dollar Shave Club’s close relationship with its young male user base was one reason for Unilever’s purchase, for instance. In such a cut-throat market, such relationships can fetch a high price.

To learn more about how you can monetize disruption, watch this video overview of the new SAP Hybris Revenue Cloud.

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