Tag Archives: productivity

We’re Disrupting People Instead of Industries Now

We're Disrupting People Instead of Industries Now

In 1997, when Clayton Christensen first published The Innovator’s Dilemma and introduced the term “disruptive innovation,” it was a clarion call. Business leaders were put on notice: It is no longer enough to simply get better at what you already do, you need to watch out for a change in the basis of competition that will open the door for a disruptive competitor.

Today, it’s become fashionable for business pundits to say that we live in a VUCA era, one that is volatile, uncertain, complex and ambiguous, but the evidence says otherwise. Increasingly researchers are finding that businesses are enjoying a period that is less disruptive, less competitive and less dynamic.

The truth is that we don’t really disrupt businesses anymore, we disrupt people and that’s truly becoming a problem. As businesses are increasingly protected from competition, they are becoming less innovative and less productive. Americans, meanwhile, are earning less and paying more. It’s time we stop doubling down on failed ideas and begin to right the ship.

The Productivity Paradox

In the 1920s two emerging technologies, internal combustion and electricity, finally began to hit their stride and kicked off a 50-year boom in productivity growth. During that time things changed dramatically. We shifted from a world where few Americans had indoor plumbing, an automobile or electrical appliances to one in which the average family had all of these things.

Technology enthusiasts like to compare the digital revolution with that earlier era, but that’s hardly the case. If anybody today was magically transported 50 years back to 1970, they would see much they would recognize. Yet if most modern people had to live in 1920, where even something as simple as cooking a meal required hours of backbreaking labor, they would struggle to survive.

The evidence is far more than anecdotal however. Productivity statistics clearly show that productivity growth started to slow in the early 1970s, just as computer investment began to rise. With the introduction of the Internet, there was a brief bump in productivity between 1996 and 2004, but then it disappeared again. Today, even with the introduction of social media, mobile Internet and artificial intelligence, we appear to be in a second productivity paradox.

Businesses can earn an economic profit in one of two ways. They can unlock new value through innovation or they can seek to reduce competition. In an era of diminished productivity, it shouldn’t be surprising that many firms have chosen the latter. What is truly startling is the ease and extent to which we have let them get away with it.

Rent Seeking And Regulatory Capture

Investment decisions are driven by profit expectations. If, for instance, a firm sees great potential in a new technology, they will invest in research and development. On the other hand, if they see greater potential influencing governments, they will invest in that. So it is worrying that lobbying expenditures have more than doubled since 1998.

The money goes towards two basic purposes. The first, called rent seeking, involves businesses increasing profits by the law to work in their favor, as when car dealerships in New Jersey sued against Tesla’s direct sales model. The second, regulatory capture, seeks to co-opt agencies that are supposed to govern industry.

It seems like they’re getting their money’s worth. Corporate tax rates in the US have steadily decreased and are now among the lowest in the developed world. Occupational licensing, often the result of lobbying by trade associations, has increased fivefold since the 1950s. Antitrust regulation has become virtually nonexistent, while competition has been reduced.

The result is that while corporations earn record profits, we pay more and get less. This is especially clear in some highly visible industries, such as airlines, cable and mobile carriers, but the effect is much more widespread than that. Keep in mind that, in many states, legislators earn less than $20,000 per year. It’s easy to see how a little investment can go a long way.

Decreasing Returns To Labor

With businesses facing less competition and a more favorable regulatory environment, which not only lowers costs but raises barriers to new market entrants, it shouldn’t be surprising that the stock market has hit record highs. Ordinarily that would be something to cheer, but evidence suggests that the gains are coming at the expense of the rest of us.

A report from MicKinsey Global Institute finds that labor’s share of income has been declining rapidly since 2000, especially in the United States. This is, of course, due to a number of factors, such as low productivity, automation, globalization. Decreased labor bargaining power due to increased market power of employers, however, has been shown to play an especially significant role.

At the same time that our wages have been reduced, the prices we pay have increased, especially in education and healthcare. A study from Pew shows that, for most Americans, real wages have hardly budged since 1964. Instead of becoming better off over time, many families are actually doing worse.

The effects of this long-term squeeze have become dire. Increasingly, Americans are dying deaths of despair from things like alcohol abuse, drug overdose, and suicide. Recent research has also shown that the situation has gotten worse during Covid.

We Are Entering A Dangerous Decade

Decades of disruption have left us considerably worse off. Income inequality is at record highs. Anxiety and depression, already at epidemic levels, has worsened during the Covid-19 pandemic. These trends are most acute in the US, but are essentially global in nature and have contributed to the rise in populist authoritarianism around the world.

Things are likely to get worse over the next decade as we undergo profound shifts in technology, resources, migration and demographics. To put that in perspective, a demographic shift alone was enough to make the 60s a tumultuous era. Clearly, our near future is fraught with danger.

Yet history is not destiny. We have the power to shape our path by making better choices. A good first step would be to finally abandon the cult of disruption that’s served us so poorly and begin to once again invest in stability and resilience, by creating better, safer technology, more competitive and stable markets and a happier, more productive workforce.

Perhaps most of all, we need to internalize the obvious principle that systems and ideologies should serve people, not the other way around. If we increase GDP and the stock market hits record highs, but the population is poorer, less healthy and less happy, then what have we won?

— Article courtesy of the Digital Tonto blog
— Image credit: Pexels

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The Role of AI in Transforming Employee Productivity

Empowering the Workforce of Tomorrow

The Role of AI in Transforming Employee Productivity

GUEST POST from Chateau G Pato

Artificial Intelligence (AI) has become a prominent catalyst in reshaping the way businesses operate and function. Beyond its potential to revolutionize various industries, AI holds great potential in enhancing employee productivity and satisfaction. This article delves into how innovative AI technologies are transforming the workplace environment, utilizing two compelling case studies to illustrate its significant role in empowering the workforce of tomorrow.

Case Study 1: Streamlining Administrative Tasks with Intelligent Automation

The financial sector has traditionally been overwhelmed by tedious administrative work that impedes employee productivity. However, by leveraging AI-driven automation tools, organizations can significantly reduce time-consuming manual tasks and foster a more efficient work environment.

Company XYZ, a multinational bank, implemented an AI-powered chatbot named “FinAssistant” to streamline their customer service operations. This virtual assistant effectively handles simple customer inquiries, such as account balance checks, transaction history requests, and basic transaction processing. Consequently, employees previously engaged in these repetitive tasks were freed up to handle more complex and strategic customer issues. As a result, employee productivity soared by 40%, allowing them to concentrate on value-added services, customer relationship management, and generating innovative solutions for clients.

By delegating mundane administrative tasks to AI, organizations empower their employees to focus on high-value activities that require critical thinking and creativity. This not only boosts individual productivity but also enhances job satisfaction and employee engagement.

Case Study 2: Enhancing Decision-Making with AI Analytics

Making informed decisions is crucial for organizations striving to maintain a competitive edge. AI-powered analytics tools can unlock hidden insights within vast amounts of data, enabling employees to make smarter and more data-driven decisions.

Company ABC, a leading e-commerce retailer, utilized AI analytics to optimize its supply chain management. By integrating inventory data, customer behavior patterns, and external market trends, AI algorithms provided real-time recommendations and accurate demand forecasting. This data-driven approach enabled employees to make proactive decisions, such as adjusting inventory levels based on predicted demand and optimizing delivery routes. Consequently, Company ABC experienced a significant reduction in stock-outs and improved delivery efficiency, increasing employee productivity by 25% in the supply chain division alone.

By leveraging AI analytics, organizations empower their employees with valuable insights, enabling them to make faster and more accurate decisions. This not only enhances productivity but also cultivates a culture of innovation and continuous improvement.

Conclusion

The integration of AI technologies in the workplace has proven to be a game-changer in transforming employee productivity. Through the automation of administrative tasks and the provision of actionable insights, AI empowers employees to focus on higher-value activities, leading to increased efficiency, job satisfaction, and innovation.

As AI continues to advance, organizations must not only embrace these transformative technologies but also invest in training and up-skilling employees to adapt to the changing landscape. By aligning AI with human capabilities, businesses can unlock the true potential of their workforce and create a future where AI is an enabler rather than a replacement. Together, humans and AI will shape a productive and thriving workforce of tomorrow.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Unsplash

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Leveraging Human-Centered Design to Improve Productivity

Leveraging Human-Centered Design to Improve Productivity

GUEST POST from Art Inteligencia

Human-centered design (HCD) is an approach to designing products and services that focuses on the needs, values, and preferences of the people who use them. It is a process of creating solutions that are tailored to the needs of the user and can be used to create innovative products, services, and experiences that are both meaningful and useful. By leveraging HCD, businesses can improve their productivity and create a more enjoyable work environment for their employees. Here are five ways to do this:

1. Identify user needs: The first step to leveraging HCD is to identify the needs of the user. This can be done through user research, surveys, interviews, and other methods. By understanding the needs of the user, businesses can create products and services that are tailored to those needs and have a better chance of achieving the desired results.

2. Create prototypes: Once the user needs have been identified, businesses can create prototypes of their products and services. Prototypes allow businesses to test out their ideas and make adjustments before launching them into the market. This can save time and resources in the long run and ensure that the product or service meets the needs of the user.

3. User testing: User testing is another important step in the HCD process. It allows businesses to gain feedback from users on how their products and services are functioning and how they can be improved. This can lead to better products and services that are more likely to be successful.

4. Iterative design: Iterative design is the process of making multiple iterations of a product or service in order to improve it. This allows businesses to make adjustments based on feedback from users and improve the product or service over time.

5. Continuous improvement: Finally, businesses should strive to continuously improve their products and services by leveraging user feedback and data. This can help businesses stay ahead of the competition and ensure that their products and services remain relevant and useful.

By leveraging HCD, businesses can create products and services that are tailored to their users and can be used to improve productivity and create a more enjoyable work environment for their employees. Through user research, prototypes, user testing, iterative design, and continuous improvement, businesses can ensure that their products and services are always up-to-date and useful.

Image credit: Unsplash

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Get More Done

Get More Done

What Matters Most Management (WMMM) is the Key to Success

Most times you’ll see this posed as a question “What matters most?” as people grapple with finding the meaning of life. That is not the case here…

Instead I would like to share with you my simple management philosophy that will help you be more successful in today’s sometimes overwhelming, chaotic world of too many competing demands on your time.

I will help you succeed on a whim! (well, okay a WMMM)

Your success in this case comes from following the whim (or WMMM) of What Matters Most Management. It can be tailored for use in managing your time, a project, etc. For simplicity we’ll look at time management today by popular request (people ask me all the time how I manage to get so much done).

It involves quite simply making a quick inventory of all of the things that you could focus on today, or that you’re being asked to focus on, and identifying three key things:

1. How big of an impact will completing this task have (Hi/Med/Lo)

2. How big of an effort will it take to complete this task (Hi/Med/Lo)

3. When will my energy be the best for completing this task (Morning/Afternoon/Evening)

This daily inventory of tasks can be done in your head, or on paper, depending on how detail oriented you are. After you have your mental or written list, then plan your day, prioritizing of course any tasks with a low effort/high impact combination (often very rare).

You will also want to prioritize any tasks that involve getting others to do work. Getting others started on their work sooner rather than later, will lead to those tasks getting done faster because they are not sitting in your inbox.

Consider also whether it makes sense to start a task you can’t finish today or not. Sometimes there is no advantage to starting something today instead of tomorrow if you’ll end up finishing it tomorrow either way. Other times there will be tasks you need to finish tomorrow that you’ll have to start today to make it work. Going through this exercise is how you’ll identify What Matters Most (WMM).

I find this method to suit an organic person like me much more than a rigid system like Franklin Covey, plus systems like that don’t take into account when the ideal time might be to do a certain type of work based on the composition of your day and personal energy patterns. Save up somewhat mindless, administrative type work for when you’re brain is tired and do your more creative, intense work when your mind is fresh.

It’s also amazing how frequently the Pareto Principle proves out (where the items that deliver 80% of the value only require 20% of your effort, and vice versa). Focus on that 20% that will drive the 80% of your potential positive perception in the minds of others and in tangible impact in your life.

The WMMM approach works the same on projects, and can be super powerful when a family, project team, etc. all follow a similar philosophy.

The WMMM approach can also be used by product managers and entrepreneurs to create more successful products and services!

Go ahead! Try it! I think you’ll find that you’ll get more done, and sometimes more importantly, people will notice.

Image credit: earningmoneytoday.com

This article originally appeared on Linkedin


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Microsoft’s Latest Vision of Future Productivity

Microsoft's Latest Vision of Future ProductivityI came across the latest vision of future productivity from Microsoft today and thought I would share it with you, along with a whole series of previous videos from Microsoft taking a look at the same subject area, ranging from 2009-2015. It is interesting to see what has changed and what has stayed the same over those six years in their view of the future.

So, here is Microsoft’s latest vision of future productivity:

And here is a closer in, more present-oriented view of changes in how people think about technology, collaboration, and productivity from Julia White, General Manager, WW Office Marketing, Microsoft:

(sorry, someone made this video private)

It can also be interesting to see how visions of the future evolve over time, so here is Microsoft’s vision of the future from October 2011:

And their 2009 vision:

Does anything jump out that has either worked its way into Microsoft’s vision of the future of productivity or worked its way out of their vision that is notable?

I’d be curious to hear your thoughts and reactions to this series of videos and where you think things are going in the near term and longer term.


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