Category Archives: Digital Transformation

Four Key Attributes of Transformational Leaders

Four Key Attributes of Transformational Leaders

GUEST POST from Greg Satell

Change isn’t what it used to be. Where earlier generations had leaders like Gandhi, King and Mandela, today’s change efforts seem rudderless. Movements like #Occupy, Black Lives Matter and #MeToo hold marches replete with strident calls for change, but they never seem to get anywhere. Lots of sound and fury, signifying nothing.

Many believe that if only these movements had more charismatic leaders or more inspiring oratory they would be able to gain more traction. Others say that society has become too corrupt and our politics too coarse to make change happen. They want to blow the system up, not work within it.

The truth is that leadership has little to do with fancy speeches or clever slogans. The notion that today’s call for change face greater opposition than the British Raj, Jim Crow or Apartheid is simply laughable. In researching my book, Cascades, however, I found that, despite important differences, transformational leaders had these four things in common.

1. They Work To Make A Difference, Not Just Make A Point

When the #Occupy Wall Street movement broke out in 2011, it inspired millions with its rallying call,, “We are the 99%.” Yet soon it became clear that all was not well. As New York Times columnist Joe Nocera noted, the group “had plenty of grievances, aimed mainly at the ‘oppressive” power of corporations,’ but “never got beyond their own slogans.” It soon fizzled out, a massive waste of time.

Making lots of noise and achieving little seems to be a common theme among the failed revolutions of today. All too often they believe that the righteousness of their cause, along with some clever memes on social media, will win the day. It won’t. Real change requires real work. You have to want to make a difference, not just make a point

It’s not just young activists who make this mistake. Corporate bigwigs often fall into the same trap. They seek to “disrupt” without any real affirmative plan for change. In Lights Out, Wall Street Journal reporters Thomas Gryta and Ted Mann chronicle how General Electric CEO Jerrfey Immelt tried mightily to gin up the stock price and project an innovative image, but did little to create actual value.

For transformative leaders, making a difference is the real point. Thurgood Marshall, to take just one example, spent decades working in relative obscurity, not to mention facing significant danger, before he triumphed in Brown vs. Board of Education. If we are to achieve anything of significance, we need to think less about disruption and more about tackling grand challenges.

2. They Lead With Values

Today, we regard Nelson Mandela as an almost saintly figure, but it wasn’t always that way. In fact, throughout his career as an activist, he was accused of being a communist, an anarchist and worse. When confronted with these accusations, however, he always pointed out that no one had to guess what he believed in, because it was written down in the Freedom Charter in 1955.

Being explicit about values helped to signal to external stakeholders, such as international institutions, that the anti-Aparthied activists shared common values with them. In fact, although the Freedom Charter was a truly revolutionary document, its call for things like equal rights and equal protection would be considered unremarkable in most societies.

After Apartheid fell and Mandela rose to power, the values spelled out in the Freedom Charter became important constraints. To uphold the stated principle that “all should be equal under the law,” his government couldn’t oppress whites. His reconciliation efforts are a big part of the reason he is so revered today.

Values are just as powerful in a corporate context for many of the same reasons. In Lou Gerstner’s IBM turnaround in the 1990s, for example, he not only put forth serving customers as an important value, he also made it clear that he was willing to forego revenue on every sale to make good on it. His willingness to incur costs showed his values were more than lip service.

Make no mistake. Every significant change comes with costs and being explicit about values makes it clear what costs you are willing to incur. Far too many would-be change leaders fail to be explicit about their values because they don’t want to be constrained in any way. It’s much easier to spout slogans like “Disrupt” or “Innovate or Die” than to think seriously about what change will cost you and others.

3. They Shape Networks

The March on Washington was a defining moment for the civil rights movement and for America. So it shouldn’t be surprising that those seeking change today, such as Black Lives Matter and the modern women’s movement, try to emulate that earlier success with marches of their own. These efforts consistently fail to achieve anything real and, in fact, often do significant damage when they spin out of control.

The truth is that the civil rights movement didn’t become powerful because it held the March on Washington. In fact, it was very much the opposite. The March on Washington was held because the civil rights movements had already become powerful. It wasn’t an opening shot, but part of the end game, the culmination of decades of painstaking work of not just Martin Luther King Jr., but a broad array of leaders.

General Stanley McChrystal took a similar approach in revamping the US Special Forces in Iraq to fight Al Qaeda. Realizing that a conventional approach would not be effective against an unconventional opponent, he declared that “it takes a network to defeat a network and shifted his “focus from moving pieces on the board to shaping the ecosystem.”

The truth is that it is networks of small groups, loosely connected but united by a shared purpose that drives transformational change. Effective leaders know that their role is to empower others by helping to connect people in order to achieve that purpose.

4. They Learn From Their Mistakes

One of the most surprising things I found in my research is how consistently early efforts failed. The first march on Washington, the Woman Suffrage Procession of 1913, quickly spiraled out of control. Gandhi’s first efforts to bring disobedience to India ended so horribly he would later call it his Himalayan miscalculation. Steve jobs, quite famously, was fired from Apple.

What made the difference wasn’t the mistakes they made, but how they learned from them. Alice Paul developed more innovative strategies, such as the Silent Sentinel protests, which were less vulnerable to disruption. Suffrage was won in 1919. Gandhi replaced widespread protests with the Salt March. Steve Jobs became more focused and built the World’s most valuable company.

Unfortunately, many of today’s activists don’t seem to have the same strategic flexibility. Once the #Occupy protesters went home, they never seemed to come up with an alternative approach. The riots at Ferguson were replaced, six years later, by the George Floyd riots. The modern women’s movement continues to march, with little to show for it.

None of this is to say that these causes are unworthy or that they are doomed to failure. What it does mean is that, if they are to succeed, they need to understand how revolutions fail and do something different. In an age of disruption, the only viable strategy is to adapt.

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

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Measuring Innovation Outcomes from Idea to Impact

Measuring Innovation Outcomes from Idea to Impact

GUEST POST from Art Inteligencia

Innovation is the lifeblood of progress and business success. In a rapidly changing world, the ability to convert novel ideas into tangible results can define the trajectory of an organization. However, bridging the gap from idea inception to impactful outcomes requires more than inspiration. It demands a rigorous approach to measure, manage, and maximize the value of innovation activities.

The Innovation Measurement Conundrum

Innovation, by its nature, is nebulous and unpredictable, often challenging conventional methods of measurement. Traditional business metrics, heavily reliant on past performance, are insufficient for gauging future potential. Recognizing the unique challenges in measuring innovation outcomes, organizations must adopt a tailored assessment approach.

Five Key Dimensions of Innovation Measurement

  • Idea Generation: Evaluating the quantity and diversity of ideas generated.
  • Feasibility Assessment: Analyzing the technical and economic viability of ideas.
  • Development Efficiency: Monitoring the speed and cost-effectiveness of transforming ideas into products or services.
  • Market Impact: Measuring the uptake, market share, and customer satisfaction regarding the innovation.
  • Strategic Alignment: Ensuring innovations align with the long-term vision and goals of the organization.

Case Study 1: Tesla’s Electric Vehicle Revolution

Tesla exemplifies how transformative innovation can be methodically measured and interpreted to yield significant competitive advantages. At the heart of Tesla’s success is its rigorous approach to innovation management across various dimensions.

“Tesla’s focus was not just building faster cars but reimagining transportation itself.”

When Tesla embarked on its journey, the idea of electric vehicles (EVs) was met with skepticism. Yet, by leveraging an interlocking innovation strategy, Tesla was able to revolutionize the auto industry.

Key Measurements and Outcomes

  • Idea Generation: Tesla’s continuous emphasis on research and development, illustrated by its expansive patent portfolio, drove a stream of innovative ideas not just in vehicles but in energy solutions too.
  • Feasibility Assessment: The Gigafactory was fundamental to producing high-capacity batteries efficiently, rendering the idea of viable EVs more feasible.
  • Market Impact: As of recent years, Tesla dominates the electric vehicle market, achieving unprecedented valuations and market shares previously deemed unattainable for EVs.
  • Strategic Alignment: Every innovation, from the Roadster to the Cybertruck, aligns with the core mission of accelerating the world’s transition to sustainable energy.

Tesla’s structured approach to innovation allowed it to not only come up with groundbreaking ideas but also to meticulously track their progress toward strategic success.

Case Study 2: Starbucks’ Digital Transformation

Starbucks, a leader in retail coffee, faced the challenge of adapting to a digital age where customer engagement and convenience became paramount. The company’s innovation in digital engagement provides essential insights into measuring innovation outcomes.

“Transforming from a coffee company to a tech-enabled customer experience leader wasn’t just about the coffee; it was about the connection.”

Key Measurements and Outcomes

  • Idea Generation: Starbucks continuously invests in technology-centric solutions, driven by a dedicated tech innovation team exploring everything from AI to mobile payment systems.
  • Feasibility Assessment: A major move was the deployment of mobile order and pay systems after thorough feasibility studies assured integration with existing operations without disrupting service.
  • Development Efficiency: Swift deployment of these digital services was critical. This rapid rollout required strong cross-functional collaboration and efficient back-end processes.
  • Market Impact: The introduction of the Starbucks app significantly boosted customer engagement and sales, contributing to over $1 billion in mobile payment transactions in a single quarter.
  • Strategic Alignment: The innovations have consistently aligned with Starbucks’ strategy of enhancing customer convenience and personalization, reinforcing brand loyalty and market leadership.

Starbucks’ approach highlights the importance of aligning technological innovations with consumer expectations and long-term business strategy, ensuring that each innovation drives meaningful impact.

Conclusion: A Pathway to Impactful Innovation

These case studies illustrate that the key to transitioning from idea to impactful innovation lies in a structured and nuanced measurement strategy. Organizations must not only generate great ideas but also deploy tools and frameworks that evaluate and guide these innovations through various stages, aligning them with strategic imperatives. By focusing on the five dimensions of innovation measurement, businesses can demystify the process of innovation, ensuring its outcomes are both predictable and impactful.

As we journey into the future, the ability to measure innovation outcomes with precision will become a cornerstone of success, enabling companies to adapt, scale, and thrive in an ever-evolving landscape.

This article explores the complex process of measuring innovation outcomes through case studies of Tesla and Starbucks—two companies known for their transformative innovations. The article underscores the importance of a structured measurement approach that spans idea generation, feasibility assessment, development efficiency, market impact, and strategic alignment. The insights from these companies hope to inspire others to adopt comprehensive frameworks to transition from idea to impactful innovation.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Aligning Vision and Execution in Change Management

Aligning Vision and Execution in Change Management

GUEST POST from Chateau G Pato

In the ever-evolving landscape of modern business, the ability to implement effective change management strategies stands as a crucial determinant of an organization’s success. At its core, change management is not just about overseeing transitions; it’s about crafting a vision for the future and ensuring that vision is executed in alignment with organizational goals. But alignment between vision and execution is easier said than done, requiring a meticulous blend of strategic foresight and operational ruthlessness. In this article, we explore how organizations can better align their vision and execution, using compelling case studies to illustrate key points.

The Importance of Alignment in Change Management

Imagine a symphony orchestra preparing for a performance without a conductor. Each musician may be skilled and dedicated, yet without someone to align individual performances, the result would be cacophonous rather than harmonious. Similarly, in organizations, an unaligned approach to change can lead to fragmented efforts, wasted resources, and unmet goals. Alignment ensures that every team member, resource, and process reflects the broader vision, fostering synergistic efforts toward common objectives.

Case Study 1: The Boeing 787 Dreamliner Project

Few change initiatives capture the imagination and exceed complexity like Boeing’s development of the 787 Dreamliner. The bold vision was to create an aircraft that would revolutionize air travel through unprecedented fuel efficiency and passenger comfort. However, the execution proved challenging and serves as a seminal example of the pitfalls of misalignment.

Initially, Boeing’s vision for the 787 was ambitious; they sought to integrate cutting-edge technology and materials, such as composite materials, at a scale never before attempted. The intention was to set new standards and transform the industry. However, execution faltered due to over-reliance on a global network of suppliers combined with the insufficient coordination and oversight mechanisms. Misalignment occurred because the vision did not translate effectively into the operational plans needed for execution. Substantial delays and cost overruns ensued, culminating in the project’s delay by three years and a multi-billion-dollar budget overrun.

The key takeaway from Boeing’s experience is the critical need for effective synchronization between strategic vision and operational execution. To achieve success, organizations must not only define an inspiring vision but also establish a practical roadmap to carry it out. This requires clear communication of roles, expectations, and timelines so that all stakeholders work cohesively towards the shared vision.

Case Study 2: Kotter’s Change Model at Google

Contrast Boeing’s struggles with Google’s relatively smooth adoption of Kotter’s change management model during the rollout of its internal Work-from-Anywhere (WFA) policy. In response to employee feedback and the changing dynamics of workplace flexibility post-pandemic, Google implemented a new telecommuting structure that adhered closely to an established change framework for seamless results.

Google began by communicating a strong vision—a future where work would cater more closely to the individual needs of employees while optimizing productivity. This vision was aligned from the top down, with Google’s leaders embodying the principles being communicated. Execution hinged upon methodical adherence to Kotter’s Change Management principles, including creating the urgency, forming a guiding coalition, and generating early wins to maintain momentum.

By leveraging these principles, Google ensured that all layers of management were engaged and empowered to drive change. Monitoring progress was integral; Google utilized both quantitative KPIs and qualitative employee feedback to iteratively refine and reinforce its approach. The result was a successful shift towards a flexible work model, with minimal disruption and positive employee feedback.

Strategies for Successful Alignment

Reflecting on both successes and setbacks, several strategies emerge for aligning vision and execution:

  1. Clear Communication: Articulate the strategic vision in a way that resonates with every employee from the top levels of management to front-line workers. Use storytelling to connect emotionally with stakeholders.
  2. Empowerment and Engagement: Ensure every team is empowered to make decisions within their domain, fostering a sense of ownership and accountability.
  3. Agility and Adaptation: Build mechanisms for feedback and learning into your change process, allowing you to pivot swiftly when seniors identify mis-alignments or changing conditions.
  4. Technology Leverage: Use technological solutions for tracking, coordinating, and reporting progress in real-time, providing visibility across all levels of the organization.
  5. Leader Involvement: Ensure leaders are both champions of the vision and active participants in its execution, modeling the behaviors and mindsets desired.

Conclusion

Aligning vision and execution is not a one-time task but an ongoing, iterative process that requires diligence, communication, and genuine commitment from all organizational levels. As organizations navigate the complexities of the digital age, those that master this alignment will not just survive but thrive, setting new benchmarks in their industries. The case studies of Boeing and Google illustrate that while the road may be riddled with challenges, transformative success is achievable when vision and execution walk hand in hand.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pixabay

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Creating the World’s Best Change & Transformation Book

The Perfect Change & Transformation BookOn Friday I was speaking with my publisher Palgrave Macmillan (now part of Springer) about doing a second edition of Charting Change.

This means that my publisher is interested in having me create a new version of Charting Change that would include most, if not all, of the content contained in the first edition, while also adding thousands of words of new insights (plus new pictures and tools).

This causes me to ask you the following questions:

  1. What human-centered change and transformation topics are missing from Charting Change?
  2. What information would the perfect change & transformation book contain?
  3. What tools do change management professionals and transformation leaders need to enjoy greater success in their jobs, projects, and programs?
  4. Toolkit subscribers – which of my new tools should I highlight in the second edition that I didn’t introduce in the first edition?
  5. Who do you think has something compelling to add to the conversation in an additional guest expert section in the book? And what is the topic you want to hear from them on?

Charting Change introduced my Human-Centered Change™ methodology and a suite of 50+ tools available for purchase (book buyers get access to 26 of the 50+ tools). That toolkit has since grown to a collection of 70+ tools available to toolkit subscribers.

Thank you so much to everyone who has supported the first edition thus far and also to my Human-Centered Change™ Toolkit subscribers.

I’m interested to hear in the comments below your thoughts on the questions above!
(or send me an email)

If you don’t already have a first edition copy of Charting Change, you can get one here:

https://www.amazon.com/dp/1137536950/
(support my sharing of free Human-Centered Change & Innovation tools and insights)

And don’t forget to download your Free Human-Centered Change Tools!

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Navigating Change in the 21st Century for Digital Transformation

Navigating Change in the 21st Century for Digital Transformation

GUEST POST from Art Inteligencia

In the dawn of the 21st century, digital transformation has become a buzzword that promises to revolutionize industries, enhance customer experiences, and drive business growth. However, digital transformation is more than just adopting the latest technology; it’s a fundamental shift in how organizations operate and deliver value to customers. As a thought leader in human-centered change and innovation, I, Braden Kelley, explore how organizations can successfully navigate this complex landscape.

Understanding Digital Transformation

Digital transformation involves leveraging digital technologies to create new—or modify existing—business processes, culture, and customer experiences to meet changing business and market requirements. It’s a multi-faceted process that requires embracing change across all levels of an organization.

The goal is to integrate digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. It’s not just about upgrading old technology or adopting new ones but reshaping business processes and thinking differently to attract and retain customers.

Challenges in Digital Transformation

Despite its potential benefits, digital transformation poses several challenges. Organizations often face resistance to change from employees, legacy systems, and outdated processes that can hinder progress. Additionally, a lack of clear strategy, insufficient skills, and the risk of cybersecurity threats can complicate the transformation journey.

Case Study 1: Netflix

The Challenge

In the late 1990s, Netflix began as a DVD rental service, competing with established giants like Blockbuster. As digital streaming technology emerged, the company faced the challenge of adapting or becoming obsolete in the rapidly changing entertainment landscape.

The Transformation

Netflix successfully navigated this challenging environment by embracing digital transformation. The company shifted from DVD rentals to a streaming platform, investing heavily in technology to deliver an unparalleled user experience. By collecting and analyzing user data, Netflix could offer personalized recommendations, making it a leader in the entertainment industry.

Key Takeaways

Netflix’s transformation highlights the importance of staying ahead of technological trends and being willing to pivot business models. Adopting a data-driven approach enabled Netflix to craft a more personalized user experience, enhancing customer satisfaction and loyalty.

Embracing Change: A Human-Centered Approach

A successful digital transformation requires more than just deploying new technologies. It’s about changing organizational culture and embracing a human-centered approach. This involves considering the needs, pain points, and potential resistance of employees and customers.

Start by fostering a culture of innovation and continuous improvement. Encourage employees to be part of the transformation journey by providing training and resources to develop digital skills. Engage with customers to gain insights into their behavior and expectations, and use this feedback to inform your digital strategy.

Leadership is crucial in driving change. Leaders should communicate a clear vision of the benefits of digital transformation and involve all stakeholders in the process. Transparency, collaboration, and open communication can help reduce resistance and build a shared vision for success.

Case Study 2: General Electric (GE)

The Challenge

General Electric, a history-rich conglomerate, recognized the advent of digital technology as both a threat and an opportunity. Operating in sectors like energy and aviation, GE faced the challenge of integrating digital technology to improve operational efficiency and develop innovative solutions.

The Transformation

GE embarked on a digital transformation journey by building its Industrial Internet, focusing on merging big data analytics with industrial engineering. The company developed Predix, a cloud-based platform for creating customized applications tailored to specific industrial needs. This move transformed GE’s operations, enabling proactive maintenance, reducing downtime, and improving overall efficiency across its business units.

Key Takeaways

GE’s transformation underscores the significance of integrating digital tools with traditional expertise. By adopting a platform-based approach and investing in talent and technology, GE positioned itself as a digital industrial leader. The commitment to innovation and continuous learning fostered a culture ready to adapt to future changes.

The Path Forward

As we navigate the 21st century, digital transformation will continue to evolve, presenting new opportunities and challenges. Organizations must be agile, adaptable, and innovative to remain competitive in this dynamic environment.

Focus on building the right team with a combination of digital skills and industry experience. Encourage a mindset of lifelong learning and continuous improvement. Moreover, prioritize cybersecurity and data privacy to build trust with customers and partners.

In conclusion, the journey of digital transformation is not a one-size-fits-all solution. It’s an ongoing process that requires strategic planning, cultural change, and a customer-centric approach. By embracing change and leveraging digital technologies effectively, organizations can unlock new possibilities and thrive in the digital age.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Should You Have a Department of Artificial Intelligence?

Should You Have a Department of Artificial Intelligence?

GUEST POST from Arlen Meyers, M.D.

Several hospitals, academic medical centers and medical schools are creating artificial intelligence organizational centers, institutes and programs. Examples are Stanford, the University of Colorado , Children’s Hospital of Orange County and Duke.

If you are contemplating doing the same, think about what is the best organizational structure? There’s a lot of debate about where AI and analytics capabilities should reside within organizations. Often leaders simply ask, “What organizational model works best?” and then, after hearing what succeeded at other companies, do one of three things: consolidate the majority of AI and analytics capabilities within a central “hub”; decentralize them and embed them mostly in the business units (“the spokes”); or distribute them across both, using a hybrid (“hub-and-spoke”) model. We’ve found that none of these models is always better than the others at getting AI up to scale; the right choice depends on a firm’s individual situation.

(click link for image)

The decision will depend on:

  1. What problems are you trying to solve? Form follows function.
  2. What resources do you have? People, money, processes, intrastructure, IP protection?
  3. What is your level of digital transformation?
  4. What is the level of your organizational innovation readiness?
  5. What are the underlying hypotheses of your intrapreneurial business model canvas and what evidence to you have that they are valid?
  6. How will you overcome the barriers to dissemination and implementation?
  7. What processes do you have in place to scale?
  8. Do you have the right people?
  9. Do you have a culture of innovation silos and, if so, how will you break them down?

10. How will you measure results? Dr Anthony Chang, the co- founder of the American Board of Artificial Intelligence, suggests that the following are some helpful metrics to measure the artificial intelligence capabilities of the health system in the context of an individual AI project:

AI Project Score

The projects that involve machine learning and artificial intelligence, either clinical oradministrative, can be followed in stages (with each stage being scored 1 point each to a maximumof 5 points) and scored to keep track as well as maintain momentum:

Stage 1: Ideation. The project is first discussed and brought to a regular meeting for input from all stakeholders. This is perhaps the most important part of an AI project that is often not regularly done with enough discussion and consideration.

Stage 2: Preparation. After approval from the group, the data access and curation takes place in order to perform the ML/AI steps that ensue. The team should appreciate that this stage takes the most effort and will require sufficient resources.

Stage 3: Operation. After the data is curated and managed, this stage entails a collaborative effort during the feature engineering and selection process. Using the ML/AI tools, the team then creates the algorithms that will lead to the models that will be used later on in the project.

Stage 4: Presentation. Upon completion of the model with real world data, the project is presented in front of the group and depending on the nature of the project, it is either presented only or is also presented at a regional or national meeting or advanced to be published in a journal.

Stage 5: Implementation. Beyond the presentation and publication, it is essential for the AI project to be implemented in the real world setting using real world data. This project still requires continual surveillance and maintenance as model and data often fatigue.

11. Are you connected to the other parts of the healthcare AI ecosystem?

(click link for image)

12. Are you prepared to overcome the ethical, legal, social, economic and privacy issues?

Feeding the organizational beasts that are resistant to change is hard. They have an insatiable appetite. Be sure your pantry is well stocked.

Image credit: Pixabay

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Three Steps to Digital and AI Transformation

Three Steps to Digital and AI Transformation

GUEST POST from Arlen Meyers, M.D.

In his book, The Four Steps to the Epiphany, Steve Blank described what has become the gospel of lean startup methodologies: Customer validation, customer discovery, customer creation and company building

The path to sickcare digital transformation is a bit shorter, but certainly no less difficult and plagued by failure: Personal innovation readiness, organizational innovation readiness and digital/AI transformation.

PERSONAL INNOVATION READINESS

Are you prepared to innovate? Here’s what you should know about innovation.

Before you start, prepare yourself with these things:

MINDSET

Starting down the entrepreneurship path means that you will not only have to change your mind about things, more importantly, you will have to change your mindset. Don’t make these rookie mindset mistakes. Here’s what it means to have an entrepreneurial mindset. There is a difference between a clinical and an entrepreneurial mindset. Innovation starts with the right mindset.

Here is how to cope in a VUCA world.

MOTIVATION

Organizational behavior gurus have been studying how to motivate employees for a very long time. Most have failed.

Indeed, most of your ideas will fail. Consequently, you will need a source of intrinsic motivation to keep you going. Make it personal, but don’t take it personally. Find the right mentors and sponsors to keep you on track and support you when you are down. Create a personal advisory board. Develop these entrepreneurial habits. Practice the power of negative entrepreneurial thinking.

MEANING

Meaning should drive what you are about to do. Practice virtuous entrepreneurship and find your ikigai. Instead of starting with the end in mind, start with the why in mind. Prune. Let go of the banana.

MEANS

Once these attitudes are in place, then focus on building your entrepreneurial knowledge, skills, behaviors and competencies. Take a financial inventory. Start accumulating the physical, human and emotional resources you will need to begin and sustain your journey. In addition to knowledge, you will need resources, networks, mentors, peer support and non-clinical career guidance.

METRICS

What are some standards and metrics you can us to measure your innovation readiness e.g. in the use of artificial intelligence in medicine?

The American National Standards Institute (ANSI) has released a new report that reflects stakeholder recommendations and opportunities for greater coordination of standardization for artificial intelligence (AI) in healthcare. The report, “Standardization Empowering AI-Enabled Systems in Healthcare,” reflects feedback from a 2020 ANSI leadership survey and national workshop, and pinpoints foundational principles and potential next steps for ANSI to work with standards developing organizations, the National Institute of Standards and Technology, other government agencies, industry, and other affected stakeholders.

The newly developed Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was found to be valid and reliable tool for evaluation and monitoring of perceived readiness levels of medical students on AI technologies and applications. Medical schools may follow ‘a physician training perspective that is compatible with AI in medicine’ to their curricula by using MAIRS-MS. This scale could be benefitted by medical and health science education institutions as a valuable curriculum development tool with its learner needs assessment and participants’ end-course perceived readiness opportunities.

As an important step to ensure successful integration of AI and avoid unnecessary investments and costly failures, better consideration should be given to: (1) Needs and added-value assessment; (2) Workplace readiness: stakeholder acceptance and engagement; (3) Technology-organization alignment assessment and (4) Business plan: financing and investments. In summary, decision-makers and technology promoters should better address the complexity of AI and understand the systemic challenges raised by its implementation in healthcare organizations and systems.

ORGANIZATIONAL INNOVATION READINESS

Improvement readiness is not the same as innovation readiness.

Giffford Pinchot, who originated the term “intrapreneur”, has suggested that you rate your organization in several domains to see whether your innovation future looks bright or bleek:

  1. Transmission of vision and strategic intent
  2. Tolerance for risk, failure and mistakes
  3. Support for intrapreneurs
  4. Managers who support innovation
  5. Empowered cross functional teams
  6. Decision making by the doers
  7. Discretionary time to innovate
  8. Attention on the new, not the now
  9. Self- selection
  10. No early hand offs to managers
  11. Internal boundary crossing
  12. Strong organizational culture of support
  13. Focus on customers
  14. Choice of internal suppliers
  15. Measurement of innovation
  16. Transparency and truth
  17. Good treatment of people
  18. Ethical and professional
  19. Swinging for singles, not home runs
  20. Robust external open networks

If you ask a sample of people to rate these in your company on a scale of 1-10, don’t be surprised if the average equals somewhere between 2-4. Few organizations, you see, are truly innovative or have a truly innovative culture. Most don’t even think about how to bridge the now with the new, let alone measure it.

Do a cultural audit. Creating a culture of innovation must include SALT and PRICES

AND

  • Process
  • Recognition
  • Incentives
  • Champions
  • Encouragement
  • Structure

Here is a rubrick that might help get you started

Learn from companies in other industries who transformed. Here are some tips from Levi Strauss.

DIGTAL/AI TRANSFORMATION

Develop and deploy the 6Ps:

  1. Problem seeking
  2. Problem solving
  3. People
  4. Platform/infrastructure
  5. Process/Project management
  6. Performance indicators that meet clinical, operational and business objectives and achieve the quintuple aims.

Here are some sickeare digital transformation tips.

The path to the end of the rainbow is filled with good intentions and lots of shiny new objects. Stay focused, use your moral compass to guide you and follow the yellow brick road.

Image Credit: Pixabay

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Organizational Change Lessons from Successful Transformations

Organizational Change Lessons from Successful Transformations

GUEST POST from Art Inteligencia

In today’s rapidly evolving business landscape, the ability to adapt and transform is an essential requirement for organizations striving for continued success. However, organizational change is not merely about deploying new technologies or adjusting strategies; it’s about fostering a culture of adaptability and continuous improvement. This article explores this concept further, drawing lessons from notable success stories in organizational change.

Case Study 1: Netflix – Transforming Entertainment

One of the most compelling examples of successful organizational change is Netflix. Originally established as a DVD rental service, Netflix reimagined its business model to become a leading streaming service and a formidable player in content production. This transformation was driven by a forward-thinking leadership team and a company culture that embraced change.

Key to Netflix’s success was its commitment to innovation. By fostering an internal culture that valued agility and customer-focused strategy, Netflix was able to pivot and expand its offerings in response to market demands. The company’s internal processes were designed to support rapid iteration and experimentation, allowing it to respond promptly to consumer behavior shifts.

This transformation teaches us that successful organizational change requires:

  • A Visionary Leadership: Leaders must anticipate market trends and guide their organizations toward future opportunities.
  • Cultural Flexibility: An organizational culture that accepts failure as a learning opportunity encourages innovation and growth.

Case Study 2: IBM – Reinventing Through Innovation

IBM, a company with more than a century of history, has undergone several transformations to maintain its relevance in the competitive landscape. Its most recent transition from a conventional hardware and services company to a modern cloud computing and artificial intelligence giant is particularly noteworthy. IBM’s restructuring involved investing in new technologies, strategic acquisitions, and forming partnerships with leading tech companies.

The restructuring process was challenging but crucial for IBM’s survival. By focusing on building a robust technological infrastructure and upskilling its workforce, IBM managed to transition smoothly into new business domains. Additionally, the company prioritized customer-centric solutions, ensuring their innovations aligned with client needs.

IBM’s change initiative highlights several lessons:

  • Strategic Investment: Investing in emerging technologies and aligning them with company goals is vital for long-term success.
  • Talent Development: Empowering and reskilling employees can drive successful transitions.

Core Lessons in Organizational Transformation

The narratives of Netflix and IBM emphasize key lessons pertinent to organizational change:

  • Adaptability: Organizations must be agile, constantly learning and evolving to maintain their competitive edge.
  • Innovation: A culture that embraces creativity and innovation can navigate uncertainties more effectively.
  • Leadership: Visionary and committed leadership is crucial in inspiring change and driving transformation.
  • Employee Engagement: Involving employees in the change process fosters buy-in and facilitates smoother transitions.

To delve deeper into the principles and practices that lead to effective organizational change, you can explore more on Change Leadership and Embracing Uncertainty and its dynamics in detail.

The Human Element in Change

One aspect that often goes unnoticed in change management is the human element. Change can trigger emotional responses and resistance among employees. Therefore, cultivating an inclusive atmosphere that acknowledges these emotions is essential. Communication and employee involvement lay the groundwork for minimizing resistance and ensuring everyone is aligned with the organizational objectives.

Empowering employees through transparent communication and by offering opportunities for active participation can lead to greater acceptance and a smoother transition process. It’s crucial to consider the human side of change to support effective transformations.

Conclusion

Organizational change is a multifaceted journey that demands strategic vision, cultural adaptation, and inclusive engagement practices. Successful transformations, as demonstrated by Netflix and IBM, are built on the foundation of continuous innovation, investment in talent, and visionary leadership. By integrating these core lessons, organizations can navigate the complexities of change more effectively and ensure sustainable growth.

For additional insights on nurturing innovative practices within your organization, download Braden Kelley’s whitepaper titled Five Ways to Make Your Innovation Culture Smell Better.

In conclusion, the future of organizational success hinges on the ability to adapt and transform. By learning from successful transformations, organizations can develop the resilience necessary to thrive in an ever-evolving world.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pexels

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The Art and Science of Transformation Leadership

The Art and Science of Transformation Leadership

GUEST POST from Chateau G Pato

In today’s fast-paced and ever-evolving business environment, the ability to lead and manage change is not just an advantage; it is a necessity. Successful transformation demands a delicate balance between art and science, combining analytical skills with empathetic communication. Whether optimizing processes, integrating technology, or steering organizational culture, change leadership is a multifaceted challenge. In this article, we explore the art and science of transformation through a comprehensive lens, enriched by two real-world case studies.

The Art and Science Behind Leading Change

The duality of transformation lies in merging the tangible, measurable aspects with intangible, human elements. The science of change entails understanding models, metrics, and systematic approaches. Meanwhile, the art requires adapting these methodologies to fit the unique culture, values, and emotions of the people involved. Navigating this duality is what sets apart exceptional change leaders.

Science provides a foundation with established methodologies like ADKAR, Kotter’s Eight Steps, Lewin’s Change Management Model or Braden Kelley’s Human-Centered Change. These frameworks offer strategic roadmaps to identify objectives, design interventions, and measure outcomes systematically.

Art, on the other hand, emphasizes the human side of change. It involves storytelling, building trust, and engaging teams at an emotional level. Leaders must have the intuition to sense unspoken resistance and the creativity to inspire wholehearted participation.

Case Study 1: The Digital Transformation of a Global Retailer

Company X, a global retail giant, faced declining sales due to increased online competition. Recognizing the need for a digital transformation, they embarked on a comprehensive change journey—a combination of cutting-edge technology and employee engagement.

The science came through an intensive market analysis and the implementation of an advanced e-commerce platform. Yet, success hinged on the art of embracing the organizational culture. Leadership conducted workshops and storytelling sessions to connect the new strategy with employees’ daily experiences.

By aligning technology with their teams’ intrinsic motivations, Company X not only revitalized sales but also fostered a culture of innovation and agility. For more insights on aligning technology and people, explore my article on Leading Digital Transformation.

Case Study 2: Cultural Shift in a Healthcare Organization

Healthcare Inc., a large provider overwhelmed by bureaucratic inefficiencies, needed a cultural shift toward more patient-centric care. The transformation journey required both science and art in equal measures.

The scientific approach began with a comprehensive audit of processes, followed by redesigning workflows to prioritize patient outcomes. Quantitative metrics were established to track improvements in service delivery.

However, the art of transformation played a pivotal role. Leadership realized that genuine change necessitated altering deeply ingrained behaviors. Through empathetic leadership and ongoing dialogues, they cultivated a shared vision of patient-centricity among staff.

Today, Healthcare Inc. is recognized for its exemplary patient care, demonstrating how cultural transformation, when driven by both art and science, can yield remarkable results. Further explore this topic by reading Encouraging a Growth Mindset During Times of Organizational Change.

Key Takeaways for Effective Change Leadership

  • Integrate Science with Art: Balance data-driven strategies with human-centric leadership to address both processes and people.
  • Develop Emotional Intelligence: Cultivate the ability to understand and influence the emotions and motivations of others throughout the change process.
  • Communicate and Engage: Use stories and symbols to connect change initiatives with personal and organizational identity.
  • Measure and Adapt: Continuously assess the effectiveness of interventions and be willing to adapt strategies as needed.

Conclusion

Leading change is both an art and a science—a dance between strategy and storytelling, metrics and motivation. By thoughtfully integrating these aspects, leaders can not only drive successful transformations but also instill a culture of continuous improvement. As you embark on your journey of change, remember that both the logic of science and the empathy of art are your allies in shaping a better future.

Hopefully this article fulfills your curiosity and captures the essence of leading change through a balanced approach of art and science. The case studies illustrate real-world examples, while additional resources further enrich the discussion.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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The Future of Agile

Trends and Innovations

GUEST POST from Art Inteligencia

The Future of Agile

Introduction to the Evolving Landscape of Agile

As thought leaders in human-centered change and innovation, we must continuously adapt and evolve. Agile methodologies have transformed how organizations operate, focusing on flexibility, collaboration, and customer-centric solutions. As we look to the future, several trends and innovations are expected to reshape the Agile landscape.

Emerging Trends in Agile

The Agile landscape is ever-evolving, responding to technological advancements and shifts in organizational culture. Here are the trends that are gaining momentum:

  • Agile Beyond Software Development: Agile principles are now being applied across various sectors, from marketing to finance, embracing a more holistic approach to organizational agility.
  • Remote and Distributed Teams: With the rise of remote work, Agile practices are evolving to support distributed teams, emphasizing virtual collaboration and digital tools.
  • AI and Machine Learning Integration: Agile processes are increasingly integrating AI and machine learning, optimizing workflows, and enhancing decision-making.

Case Studies: Leading the Agile Revolution

Case Study 1: Spotify’s Squad Model

Spotify has become synonymous with Agile innovation through its unique approach known as the ‘Squad Model.’ This framework promotes team autonomy and accountability, empowering ‘squads’ to operate as self-contained units focusing on specific objectives. Each squad is cross-functional, enhancing collaboration and efficiency.

The success of Spotify’s model highlights the importance of customizing Agile practices to fit organizational needs and culture, fostering an environment conducive to rapid innovation and experimentation.

Case Study 2: ING’s Agile Transformation

In the financial services sector, ING has demonstrated the power of Agile transformation. Through the adoption of Agile principles, ING restructured its operations, breaking down silos and fostering a collaborative, customer-focused culture.

This transformation involved training over 3,500 employees in Agile methodologies, integrating Agile teams across multiple departments to enhance efficiency and speed to market. ING’s journey underscores the potential for Agile practices to drive significant organizational change, even within highly regulated industries.

Innovations Driving the Future of Agile

As Agile continues to evolve, several innovations are expected to shape its future:

  • Agile at Scale: Large organizations are increasingly seeking ways to implement Agile at the enterprise level, integrating Agile methodologies across all facets of their operations.
  • Agility in Strategic Leadership: Leadership teams are adopting Agile practices to enhance strategic decision-making and responsiveness to market dynamics.
  • Hybrid Models: Many companies are blending Agile with traditional project management methodologies to create hybrid models that leverage the strengths of both approaches.

Conclusion

The future of Agile is bright, driven by the need for organizations to remain competitive in an ever-changing environment. By embracing these trends and innovations, companies can not only survive but thrive in a landscape marked by constant change.

For more insights into organizational change, explore our article on Agile Leadership and discover strategies for effective Digital Transformation.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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