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Digital Rebirth transcends digital transformation. It involves a revolutionary reinventing of the purpose, nature and processes of a company, with accompanying digital business and technological platforms. This book presents a clear framework for practical digital rebirth of companies, contrasting it to prevalent "digital transformation" approaches. Aimed at large and medium-sized companies, as well as their subcontractors and service providers, but also at budding entrepreneurs, it should be read and used by company boards, executives, managers, startup leaders and business consultants.. - In every section of the book you will find proven concepts of Digital Rebirth, digital reinvention, collaborative digital practices, combinatorial technologies, digital platforms, digital ecosystems and pointers how to move from obsolete mindsets and left-over baggage to reinvented digitalization minds and processes. - It shows clearly how some major companies have digitally rebirthed themselves - or are in the process of it - to be or to become a leading player in the digital economy. - Company (and industry) illustrations are accompanied by descriptions of Digital Rebirth approaches, methodologies and practical tools. - The book's content is ideal for use in company workshops and executive sessions, as well as business leadership mindset sessions, and has been validated in such activities by the authors, including boards of highly renowned companies on all continents. - At the end of the book, the unique approach of Digital Rebirth is condensed into a framework of five digital drivers, to assist in the right activities for purposeful and successful company rebirth. The concept of Digital Rebirth shows clearly that, in the light of recent developments like Internet of Things, Artificial Intelligence, Industry 4.0 and Cloud-based Services, well-established traditional industry and competitive models are not any longer satisfactory to understanding and dealing with digital realities.

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Veröffentlichungsjahr: 2018

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Digital Rebirth

How Smart Companies Recreate Themselves in the Digital Era

By Marius Leibold and Sven C. Voelpel

ISBN 978-3-89578-736-2 (EPUB)

Complete EPUB edition of Marius Leibold and Sven C. Voelpel, Digital Rebirth

ISBN 978-3-89578-477-4 (Print edition)

Publicis Publishing, Erlangen, Germany

www.publicis-books.de

© 2018 Publicis Pixelpark Erlangen – eine Zweigniederlassung der Publicis Pixelpark GmbH

Marius Leibold has wide experience in top-level executive counseling sessions and workshops in the U.S., Europe, China, Australasia and Africa, and is regarded as a leading-edge business rebirth counselor in the digital-augmented society. He is visiting professor at the University of North Carolina, Business School Netherlands, and Massey University, New Zealand, and professor emeritus at Stellenbosch University, South Africa. He has also been a Case Study Associate at ­Harvard Business School.

Sven C. Voelpel is Professor of Business Administration at the Jacobs University Bremen, Germany, as well as founding president of the WISE Group and the WDN – WISE Demographic Network. He has been guest and honorary professor at INSEAD, Tsinghua and St. Gallen as well as a Visiting Fellow at Harvard University. He is an internationally renowned ­keynote speaker and teacher of executive workshops.

Preamble: Why this Book? What is Really Different?

Despite spending millions of dollars on digital transformation efforts in the past year, most of these fail. According to a new report by database platform provider Couchbase, 90 percent of digital projects fail to meet expectations and only deliver incremental improvements. The study furthermore shows that “80 percent of the 450 heads of digital transformation surveyed at enterprises in the U.S., U.K., France, and Germany in May-June 2017 think they are at risk of being left behind by digital transformation.” 1

This book provides a fresh approach, Digital Rebirth, which cuts through the myths and fog of digitalization approaches, trends, technologies, roadmaps and strategies. It presents a clear framework, with company and industry evidence, for practical Digital Rebirth of companies, contrasting it to current ‘digital transformation’ approaches. The latter focus on embedding digital technologies for company agility and efficiency, neglecting the essential need for rebirth of companies’ nature and purpose, and way of doing business, due to digital impacts. Simply stated, the book’s emphasis is on Digital Rebirth, in contrast to digital transformation.

Digital Rebirth transcends digital transformation, which is myopic and limited. Digital Rebirth involves a ‘revolutionary’ re-architecting (or recreating) of the purpose, nature and processes of a company, with accompanying business and technological platforms operating in business ecosystems. The increasing digital connectivity of today requires dynamic business platforms, beyond the linear confines of business models, to enable companies to co-create new consumer value in collaborative business ecosystems—consisting of an orchestrated range of consumers, partners, suppliers, distributors, researchers and technological services providers.

Digital business model transformation is rooted in traditional ‘industrial’ concepts such as digital roadmaps, digitized value chains, digital customer journeys and engagement, digital cores, digital change/pivot management, and digital playbooks. These are mainly digital-efficiency ‘straight-jackets’, leading to the demise and eventual death of many companies. In essence, Digital Rebirth is required, to survive with a new company format, purpose and role in society. Leaders have to break free from the constraints—or ‘captivity’—of traditional business model thinking and doing.

The benefits of this book are aimed firstly at existing—traditional, incumbent, or legacy—companies, but secondly also at budding entrepreneurs and digital startups that will emerge as ‘digital-native’ companies. It should be read and used by company boards, CEOs, C-Suite executives, functional executives, managers, budding entrepreneurs and startup leaders as well as business consultants and people working in service-­providing agencies. It is replete with company (and industry) illustrations and vignettes, accompanied by concise pointers of Digital Rebirth approaches, methodologies and practical tools. It is ideal for use in company workshops and executive sessions, as well as business leadership mindset sessions, as validated in such activities by the authors.

In every chapter you will find proven concepts of Digital Rebirth, digital recreation, collaborative digital practices, combinatorial technologies, digital platforms, digital ecosystems and pointers to move from obsolete mindsets and ‘past baggage’ to reinvented digitalization minds.

Towards the end of the book this unique approach of Digital Rebirth is condensed into a framework of five digital drivers, for simplified understanding and easy implementation of a company’s Digital Rebirth journey. We trust this book will greatly assist company executives in pursuing sound digitalization activities for purposeful and successful company rebirth.

Marius Leibold, Charlotte, USASven C. Voelpel, Bremen, GermanyMay, 2018

What Do Leading Executives Say About the Need for Digital Rebirth?

“Our perspective now is that we sell solutions, applications and comprehensive systems as opposed to just selling the product. We sell value instead of selling functionality. If you don’t bridge the digital-societal divide, you’re going to go nowhere with ‘Industry 4.0’ or the ‘Internet of Things’.”2   – Joe Kaeser, CEO, Siemens

“At least 40 % of all businesses will die in the next 10 years, if they don’t figure out how to change their entire company to accommodate new technologies.”3   – John Chambers, CEO (1995-2015) and Executive Chairman (2015-2017), Cisco Systems

“There are unsolved problems with the ‘future factories’ initiative that could leave Germany vulnerable. Many of the projects center on heading off maintenance problems through software-aided analysis of machines, or equipping repair technicians with tablets to speed fixes on the shop floor. Those are easily copied by foreign competitors. This is only efficiency. That’s not radical.”4   – Guenter Korder, CEO, Intelligent Technical Systems of Ostwestfalen Lippe (OWL)

“We have to redefine our business model. And one of the primary targets is to set up an open digital industry platform.”5   – Oliver Falk, CFO, Kloeckner Metals Europe

“Insurance is evolving from pure financial loss compensation to physical risk prevention. Insurers who understand and implement the next-generation business purpose centered on customer’s risk experience solutions, will change the industry forever.”6   – Robert Cummings, Head, SAP Industry Business Unit for Insurance

“The era of simply selling high-quality shirts and shoes is gone. We are repurposing from a products-oriented sports apparel company to an experience-oriented platform company of health, fitness and wellness solutions.”7   – Kevin Plank, CEO, Under Armour

“No longer do successful companies compete through their brands. Instead, they compete through platforms.”8   – Zhang Ruimin, CEO, Haier Group

The ‘Valley of Death’ Curve: Beyond the Transformation Hype into Company Rebirth & New Life

Figure 1 The ‘valley of death’ experience9

In summary, there is much hype about company digital transformation, digital business model transformation and company digital roadmaps. Most legacy companies are still ‘business model captives’, and their digitalization efforts will prove to be inadequate for survival, due both to myopic executive mindsets and constrained company processes. Without a real Digital Rebirth, most legacy companies are facing a ‘valley of death’ experience.

This book provides evidence that companies have to “break free” from their legacy business models, and make a radical move away from business model thinking into digital platform and ecosystem thinking, understanding and doing. Digital roadmaps without clear digital-era mindsets, purpose and digital capability “compasses” are dangerously inadequate.

Daniel Cohen, VP, Adobe Systems, puts it this way: “While our initial digital strategy was to run our traditional model and a new subscription model in parallel, we came to adopt a “burn the boats” strategy to accelerate our transition to the new model; we needed our employees to understand there was no going back to the old way of doing business.”10

Contents

Preamble: Why this Book? What is Really Different?

What Do Leading Executives Say About the Need for Digital Rebirth?

The ‘Valley of Death’ Curve: Beyond the Transformation Hype into Company Rebirth & New Life

 Chapter 1 

Introduction: The Why of Digital Rebirth

 Chapter 2 

What is Really Happening? How Digital Trends and Forces are Causing Digital Company Rebirth

 Chapter 3 

The Right Mindsets and Right Questions about Digitalization

 Chapter 4 

The Core of Digital Rebirth. Establishing a Company Digital Platform

 Chapter 5 

The Widening of Digital Rebirth. From Industries into Ecosystems

 Chapter 6 

The Deepening of Digital Rebirth. Using Cloud-based Technologies

 Chapter 7 

Digital Rebirth Capabilities. Processes and People/Talent

 Chapter 8 

Digital Leadership and Company Repurposing

 Chapter 9 

Putting It All Together. The Five Drivers of Successful Digital Rebirth

 Chapter 10 

Conclusion

Endnotes

 Chapter 1 

Introduction: The Why of Digital Rebirth

“When we started out, we compared ourselves with emerging Fintechs and the startup world and concluded that we have to digitalize completely, not just by putting on digital lipstick.”11   – Piyush Gupta, CEO, DBS Bank, Singapore

The Digital Era is Prompting a Fundamental Change in How a Company Creates, Captures and Delivers Value

This book contends that Digital Rebirth, not mere digital transformation, is essential for company survival in the digital era. The reasons for this phenomenon are:

Digitalization causes new ways of ‘real-time’ connectivity of people and organizations, with new types of consumer value being created, captured and delivered. This is entirely different from the traditional value creation processes, with its value chain ‘control and ownership’ of resources, including R&D;

Digitalization is currently viewed as mainly an ‘efficiency improvement’ challenge—in terms of greater speed, agility and real-time customer engagement—and as a ‘digitalizing our business model’ issue—

not

as a radical new way of thinking and doing business, i.e. Digital Rebirth, as necessitated by the digital-connectivity era.

We clearly illustrate in this book that digitalization should not be seen as a technological add-on to existing business models, but that the digital era is changing the entire nature of companies—and also entire industries. In addition, it has profound impacts on leaders and all company employees. We describe and motivate in this book how companies can envision and implement Digital Rebirth, not merely digital transformation. We show how company executives are often misled by asking the wrong questions about digitalization, and we illustrate the right questions to ask. For example, a wrong question is “How do we create new value for our company in the digital economy?”, while the right question is “How do we enable others to co-create value with our company, and for themselves, in the digital-networked economy?”

The myriad of new connective-intelligence is depicted for example in the ‘smart city’ concept (Figure 2) or in the concept of ‘smart insurance’.

Figure 2 Smart concepts: smart city and smart insurance12

Smart insurance means

IoT-insurance-connected home, appliances, health industries, autos and buildings

Systems of easy, agile engagement and feedback

Enabling innovative insurance contracts and e-claims

Artificial intelligence for 24/7 consumer experiences

Cognitive insurance interfaces: AR, VR, Chatbots, insurance Big Data and smart analytics

Consumer-insurance predictive behavior

Innovative insurance revenue models

Connected risk-reduction applications

The Digital Economy is Radically Different from the Industrial Economy

The digital economy is a network-intelligence economy, which understands that company outsiders—connected with own staff—are now collectively coming into a position of having more creativity, resources and innovation than only own (internal) company staff and resources. The leveraging of outsider and insider ‘digital network effects’ influence the nature, purpose, goals, processes and innovative capabilities of companies, as well as the growth and benefits for all stakeholders involved. In short, traditional companies and business models cannot just be ‘digitally transformed’, but have to be ‘rebirthed’ by establishing a reinvented purpose and basis, that effectively leverages the intelligence of consumers, suppliers, partners, distributors, research agencies and other stakeholders in real-time. The following vignette illustrates how the company Under Armour achieves this.

Under Armour Rebirths Itself into the World’s Largest Digital Fitness Platform13

Under Armour (UA) is often thought of as a sports apparel company, with particular products for athletes and other sport codes. Today, in a digital-connected era, this is incorrect. UA has become a platform for fitness communities around the world whose purpose it is to make all people fitter and healthier, in essence to change how people live to enable fitter and healthier communities and people. Under Armour now has more than 200 million registered users worldwide, and its community numbers continue to expand. It has gained direct relationships with these users, as well as hundreds of suppliers and service collaborators, all digitally connected and leveraged on its company platform. Kurt Kendall, a VP at UA, mentioned that when they started the company, physical products such as shirts, shoes, and other apparel were the sole focus. Currently, it is more about the digital platform from which many related products are branded through the company’s ecosystem-connected digital orchestration of participants, including customers’ innovative ideas.

After first putting a connected fitness platform in place, it began to incorporate fitness and apparel products into what is now called a digital experience, utilizing fitness products and services. For Under Armour, the shoe, shirt, cap, towel, and health vitamins are a result of its digital platform, which is used to enhance the overall user fitness experience. In a real sense, the physical product and the digital product are not distinguishable outside the company; inside the company, the purpose and focus are on a digitally-integrated user experience, which continually evolves and innovates through a myriad of digitalized networked interactions. Across all of its digital platforms globally, UA already enables more than 10 billion interactions a year, all focused on improving the user experience.

How does this approach differ from the current digital transformation initiatives of many companies? Most companies are still locked into a mindset of their existing business model, with target markets, products, and configured value chains, just adding digitalization as an efficiency mechanism. That is still a ‘one-way pipeline’ product orientation, with company at one end and customer at the other end. With UA’s Digital Rebirth, there has been a clear move away from the mechanistic, one-way business model to a holistic, platform-driven network of value creation, value capture, and value delivery, using the orchestration of many participants’ innovation power. If UA had gone for ‘business model digitalization’, it would have remained part of the traditional fitness ‘industry’ and its processes. Now it has opened up a dynamic new way of business activity, based on a wider purpose and platform that moves away from the ‘fitness industry’ towards enhancing the well-being and ‘health ecosystem’ of communities.

The larger issue here is that the world and its companies are moving from the industrial-value era to the digital-value era, which requires a new leadership mindset, besides new company capabilities and processes. In his recent book, ‘World Order’, Henry Kissinger argues that the world is at its greatest peril when the international order is moving from one system to another. “Traditional restraints disappear, and the field is open to the most expansive claims and the most implacable actors,” he writes. “Chaos follows until a new system of stability is established.” It is a sobering warning: although this statement is mentioned in political context, moving from an industrial era to a digital era means upheaval of traditional mechanistic, linear management practices to dynamic, non-linear, combined outside-inside connective processes, with new mindsets, guidelines and restraints. Those companies making sense of what is happening, and realizing that corporate rebirth is required—in mindsets and processes—will survive and prosper. However, mindsets take time to change, and it is little wonder that many executives are apprehensive, resistant and even confused in their approaches to digitalization.

Adopting Digital Technology, on Its Own, does Not Bring Real Digital Rebirth

We hear regularly how companies worldwide are excited about their digital transformation initiatives. Some are developing their own applications, digitizing their business models, analyzing and engaging with their customers’ ‘journeys’, or executing a new digital commerce strategy. Others decide to deploy new ‘Big Data’ and ‘Analytics’ tools. The investment is often huge, and there seems to be always great hope for success, e.g. with digital ‘hubs’, ‘accelerators’ and ‘startups’. Yet, they often fall short in their efforts, because the focus is typically on how technology will transform the traditional business model—not how the enterprise should digitally rebirth to fully embrace the digital innovation impact of technology.

All too often, traditional companies are focused on creating a type of digital ‘façade’ where it appears to be a digital experience for the customer, but, in reality, the traditional business model is merely transformed and not rebirthed. True Digital Rebirth requires that companies have to decisively change their mindsets, company purpose and organizational processes with a keen focus on collaborative outcomes, not just more efficient or agile infrastructure and technologies.

For example, a bank, through its interactive mobile ‘app’ (digital connective application), may receive information from the consumer faster than ever before, but no real benefit is achieved if it still takes weeks to approve or decline a loan request due to administrative processes still being unchanged. For a digital world where everything is supposed to be automatic, responsive and immediate, a customer will inevitably turn to a competitor that engages individual needs and approves a customized loan in ‘real-time’. Thereby it establishes a longer-term relationship and positive experiences with the customer.

Over the past 10 years, the exponential growth and power of digital-enabled technology have enabled some fascinating, if not mind-bending, opportunities. Machines talk to one another through computer algorithms, with digitally connected humans on the other end observing, analyzing, and acting on the explosion of Big Data that is being generated. Doctors use algorithms that utilize patient history and genetic information in real-time to detect symptoms and make diagnoses, with recommended treatments and preventative actions. Cars are programmed with data-driven precision to direct drivers to the best-possible route, and alternative route options, to their destinations. And even ‘digital libraries’ for 3D parts are growing rapidly—possibly to the point where we can soon print whatever we need, now evolving into 4D printers that can replicate themselves.

With the fast-evolving range and speed of new digital technologies and connectivity, it is a common fallacy to believe that productivity would also rise over the same span of time. However, according to a report released by the Organization for Economic Co-operation and Development (OECD) in 2017, this is, sadly, not the case.14 In fact, most advanced and emerging countries are experiencing declining growth that is cutting across nearly all sectors and affecting both large and small firms. But more interesting is the OECD’s observation that this trend does not exclude areas where digital innovation is expected to improve information sharing, communication, and finance.

Although nearly 5 billion people on our planet have a computer (i.e. an internet-enabled mobile device, like a ‘smart-phone’) in their possession at any moment of the day, our digital ways have evidently not translated into productivity gains for the enterprise. The reason? Businesses are not changing their mindsets, approaches and processes to allow that technology to reach its full potential, mistaking digital ‘business model transformation’ initiatives as adequate, while digital company rebirth is really required. To connect wider and faster is one thing, but to utilize that in more purposeful, effective outcomes in society is another.

The following vignette provides a clearer picture of how to separate linear-thinking digital transformation from exponential-thinking Digital Rebirth.

Separating Digital Rebirth from Digital Transformation15

Is it feasible that another type of economic revolution could have a greater impact than the agricultural and industrial revolutions did? Not everybody is convinced of the latter two’s lasting impact: Douglas Engelbard, who pioneered the computer mouse, went as far as to predict that the digital revolution would ultimately be far more significant than writing or printing, or automated farming and production.

Jonathan Becher, the Chief Digital Officer at SAP, maintains that the digital revolution is indeed a revolution and not a transformation. While the agricultural revolution changed the way people lived and the industrial revolution changed how they worked, the digital evolution is changing how they live and work simultaneously. Examples are driverless cars, drones, 3D printing, artificial intelligence obviating many jobs, and virtual reality applied in, for example, building, clothing and living environments.

In the past, given few disruptions, economies of scale were usually the result of a successful business model structure, company strategy, repeatable processes, top-down planning and hierarchical-controlled activities. The nature of the digital revolution is, however, different from that of previous revolutions, i.e. digital-network-enabled, faster, but more importantly, also exponential and creativity-leveraging. BioTechnology’s advances exemplify this: Mendel’s book on genetics was published in 1866 and now, less than 200 years later, CRISPR—a genome editing tool—is about to make a huge difference to people with genetic disorders.

Reactionary and pro-active companies emerge from every revolution. According to Engelbard it is almost impossible to keep abreast with exponential growth in the new digital era, although one could catch up with revolutionaries in a linear world. Evangelos Simoudis, founder of Synapse Partners, believes that big companies should learn to act like startups by giving a part of their incubation ideas to employees outside their R&D structures. This does not mean that startups are more stable than larger companies, but that turbulence in digital evolution of companies is inevitable—and should be embraced with Digital Rebirth mindsets and processes.

Even ‘digital natives’, such as digital startups, need to anticipate and explore future changes, because innovating just once is not the ultimate or enduring solution. Engelbard warns: “Revolutions and the changes associated with it can be scary, but the the single worst decision is to do nothing.”

From Building Better Mousetraps to Building Better Mouse-Catching Platforms

Many executives think of companies competing over, or with, physical products and services in an industry context—the typical “build a better mousetrap than competitors”—and owning (or controlling) the resources to enable them doing that with consistency and efficiency. In today’s network-connectivity era, competition is fundamentally changing to being increasingly over company and ecosystem platforms, not over discrete products in particular industries. For example, think of a smart mousetrap with sensors that are digitally connected to a Cloud-based ‘mouse-catching’ service: the home-owner, suppliers of equipment, rodent-exterminators and insurance providers are all stakeholders that could influence and monitor the status of the mouse-catching service on their digitally-connected smart devices, e.g. smartphones, via a platform ‘app’, receiving messages and enabling responses when necessary.

The fundamental move from competing with physical products to competition with platforms is valid for any company, in any industry, and not only for the well-known ‘sharing-economy’ platform companies such as Uber, Lyft, Airbnb, Google and Amazon. The shift from products to platforms focuses on co-shaping the products and services that enable stakeholders—either selected and/or open stakeholders that are empowered with app-related tools to operate on particular digital platforms—to connect, build and communicate, in real-time, with these smart platforms, with particular consumers in mind, who now also become co-shapers of products and services through their real-time engagement on the digital platforms.

Every business executive today has to deal with the basic question of how to enable others (external stakeholders, including consumers) and themselves (internal staff, including co-workers) to collaboratively create new value—for the company and its shareholders, and in the process also for the various stakeholders and their shareholders. The major implication is that, while it is difficult to divorce executive minds from physical products only, e.g. an automobile, or services, e.g. GP (General Practitioner)health services, it is essential to adopt a new mindset for digitally ‘rebirthing’ your company, and not to get trapped into partial and inadequate digital ‘transformation’. In fact, the automobile industry and the GP industry are in danger of ‘dying’, as ‘software eats the world’, i.e. the physical products and services become relatively less important than the non-physical ‘digital connective intelligence’ that determines the network-collaborative use of these physical and service objects. Digital Rebirth is evidently not a choice, but an urgent necessity for all existing companies, the so-called incumbent, traditional or legacy companies, and also their traditional industries.

To embrace Digital Rebirth is not easy: the following vignette of automakers illustrates this.

Why are Automobile Manufacturers still Focusing on the ‘Auto Industry’16

Cars filled with electronics that give their drivers traffic information are enough to fill the average driver with awe. It seems that manufacturers of luxury cars are ahead of the game in every way.

However, Andrew Shipilov, a professor of strategy and an Akzo Nobel Fellow at INSEAD, begs to differ. He notes that manufacturers of physical products are not approaching the digital ‘rebirthing’ of their business models carefully or creatively. They still need to understand that “[t]he physical asset itself is just the beginning; the real value is in the connective intelligence possibilities of a wider array of value to consumers.”

As an example, he mentions BMW, whose cars contain a platform (Connected Drive) that allows owners to buy apps that will allow them to gain information on the traffic, to message, and start the engine remotely. However, the owner has to pay €360 just to be allowed to download the apps on this platform.

Similarly, a car’s electronics allow its owner to experience various driving modes. Although all of BMW’s Series-3 vehicles use the same 4-cylinder engine, the less expensive model’s electronics don’t allow it to achieve the higher horse-power levels of the others. Shipilov asks himself why carmakers don’t allow car owners to rent engine capacity, or even upgrade their engine’s capacity, which would give them a different driving experience when this is needed. His experience has taught him that the main reason is that these companies want people to sell their old cars and buy better new ones. Shipilov notes that although this would make sense in the traditional business model, these companies are currently not only missing out on new customers, but also on new revenue opportunities.

He also mentions Tesla as an example of a company that allows a mode upgrade that allows a car’s acceleration time to be reduced by 10% without having to buy a new model. However, the upgrade can’t be rented, even though this is feasible, and buying it costs about $10,000.

Shipilov contrasts this business model to that of Apple, which earns money with complementary products and whose apps are rather cheap, or even free. He believes that the lesson is to always give customers free entry into a digital store, but to afterwards charge small amounts for the products they buy.

Clearly, the makers of physical products (like vehicles, refrigerators or stoves) understand that digital convergence is the future. Nevertheless, the ‘digitally-transformed’ business models required for this are often inadequately viewed, or certainly not creatively examined for insightful ‘Digital Rebirth’. The physical asset itself is just the beginning; the real value is in the connective intelligence possibilities of a wider array of value to consumers, with new value creative processes, new value capture mechanisms, and new value delivery methods.

From the above vignette of the automobile industry, a number of corporate ‘barriers’ to digital business rebirth are clear. These include:

The difficulty to switch the focus of executive mindsets from physical assets and products to digital connective-intelligent assets;

The attractions and mesmerizing influence of digital technologies, as an end in itself;

The strong paradigm of ‘business model’ thinking, and business model innovation, with business schools, consulting companies and company tools continuing a ‘love’ with the elegance and ‘proven’ workability of traditional approaches and methodologies—but now fast becoming obsolete;

The resistance against anything new that might cannibalize on the successful sales of existing products and services;

The fear of upsetting existing supplier and distribution partners and processes;

A fixation on traditional product pricing and revenue models, with reluctance to adopt ‘unproven’ models—such as services-subscription revenue models (explained in later chapters).

The critical issue is that these ‘barriers’ cannot be overcome by digital business model transformation efforts, as that would remain incremental, linear, partial and mechanistic, not to mention often slow. What is really needed is a decisive departure—a company rebirth—from the traditional business model and its practices, which is possible without significantly disrupting the company’s current revenue streams in the short term.

Conclusion

Companies struggle with Digital Rebirth, on the one hand because of the barriers of traditional paradigms and mindsets of the industrial era, and on the other hand simply due to myopic advice coming from consultants and academics rooted in those old mindsets. This is often called ‘path dependencies’, i.e. relying on the past methodological paths that worked well, or are still working, but rapidly declining in effectiveness.

In this chapter it has been motivated that industries and companies are facing dramatic changes due to the rise of the digital era, not only because of astonishing technological advances, but especially because of its revolutionary impact on business practices and leadership. Company Digital Rebirth is essential, not merely digital transformation.

The following chapters illustrate, in sharp relief, the ‘legacy’ company barriers and challenges, and how to practically overcome them and move decisively to Digital Rebirth, before it is too late. The ‘windows of opportunity’ for company rebirth will be closing rapidly in the next few years, with many digital native startups (or ‘upstarts’) already entering and positioning themselves strongly in the marketplace. To merely collaborate with startups, or to establish your own startup hubs or technological accelerators, are not enough—that would be perpetuation of existing business models and its deficiencies, not leading to urgently needed company Digital Rebirth.

Workshop 1 (Case Illustration)

Digital Insurance Startups (‘Insurtechs’) and the Challenges for Industry Incumbents17

Thinking back, most people would agree that buying insurance has not changed during their own lifespans, or those of their parents and even their grandparents.

According to Rakesh Shetty, Head of Marketing for Strategic Industries at SAP, not everything in the insurance industry has petrified. The business models of half of all insurers are being disrupted by new, very nimble competitors. Further, Fintech disrupters (e.g. MoneySuperMarket and Lemonade) and new technologies (e.g. smart sensors and medical-grade wearables) are making classic face-to-face meetings between insurance brokers and clients superfluous. Insurers can apply digital tools and data derived from their clients to provide services that enhance and fit these clients’ digital lifestyles. Digital Lifestyle Insurer and the Connected Insurer are two emerging insurance models.

The Digital Lifestyle model focuses on an individual client at a time, subsequently leveraging the customer knowledge, anticipating the customer needs and, at the right moment, supports the customer by offering appropriate, highly personalized services and products throughout the various insurance lifecycle phases. By investing in social media, contextual marketing and interactive needs analyses, it addresses young insurance buyers.

Shetty explains that, by means of the Connected Insurer model, insurers, their business network and technology partners co-innovate on platforms by creating new products and services, as well as generating new and increased revenue streams. Insurers’ ability to agilely adapt these platforms can change the way they regard their partners and are regarded in turn. Shetty mentions that a vertical network that serves single markets, such as those of travel and labor, is valuable, but that a vertical network connected to other vertical networks in real-time is revolutionary. Cloud-based services are required to connect the numerous partners and to process the data in real-time.

Lemonade offers an insurance product that is “instantaneous, un-conflicted and downright delightful,” and related to the founding of fire protection societies. As in these societies, small policy holders groups pay their premiums into a claims pool and are refunded if there is money left at the end of policy period. There are similar companies in Germany, the UK, and China, but only Lemonade has been a registered operating carrier at the end of 2016. Daniel Schreiber, the CEO of Lemonade believes that the rebirth of insurance is still in the future.

Figure 3 Lemonade offers an “instantaneous, un-conflicted and downright delightful” product18

One would think that faced with millenniums with only a few prized possessions, limited money, devoted to online buying, using apps, and no desire for one-to-one meetings, most insurers would simply give up.

In a blog post, Jordan Crook (a well-known writer and editor) agrees, especially because classic insurance carriers generally do not insure specific devices, or offer insurance for just a limited time, both of which young people want.

But help is at hand, as Trov, an on-demand insurance platform, gives them what they want. It only needs the make and model of the item to be insured to generate the required metadata for insurance. When it is given the insurance buyer’s information, Trov generates a to-the-second price. The insurance on this buyer’s various items is then turned on or off by a simple swipe.

Buyers file their premium payments and claims by means of the Trov app, but Trov also partners an insurance carrier in a specific region, which then provides a balance sheet and carries the regulatory risk.

Crook believes that the right partnerships, tools, and infrastructure are essential for insurance innovation, because the right foundations ensure that insurers do not struggle in a time characterized by exponential change. This foundation also requires “formal strategies, dedicated budgets, clear objectives, and metrics,” which will allow partnerships to meet current and future demand by means of the right products and services.

QUESTIONS

1. Why is ‘digital transformation’ of legacy companies often unsuccessful in the digital economy?

2. What forces have caused new insurance companies/startups to arise?

3. Will the traditional insurance industry ‘die’, or will it survive, or be rebirthed in another form?

4. “Insurers will struggle to compete in this era of exponential change.”Why?What barriers?

5. How does “the connected insurer” differ from traditional practice and connections?

6. Does your company—and industry—have similar challenges than those of the insurance world?

 Chapter 2 

What is Really Happening? How Digital Trends and Forces are Causing Digital Company Rebirth

“The future is already here, it is just not evenly distributed.”19   – William Gibson, Author

Introduction

The digital era, for the first time in history, enables real-time—‘live’, happening right now—data, information and insights from wide-spread sources, for fast analyses, predictions and agile responses. Ubiquitous connectivity and in-memory computing cause this to happen, which in turn are caused by mobile devices, computing power—from ‘Cloud’ connectivity, sensors, social media, artificial intelligence (AI), 3D/4D printing, and related technological connectivity advances, especially since mid-2015. This ubiquitous connectivity and exponential computing power now enable the real-time engaging of consumers during their consumer ‘journeys’, interacting with a myriad of ‘intelligent’ products, processes and stakeholders via the ‘Internet of Things’ (IoT), i.e. the automated connectivity of products, people, services and objects through the internet.

What is radically different in the ‘smart’ digital age is the empowerment and engagement of consumers and ‘partners’ (or stakeholders) through the software embedded in smart devices. This enables the spread of real-time knowledge and proactive networking capabilities of many stakeholders through Social, Mobile, Analytics and Cloud (SMAC) dynamics. Innovation, creativity, processes, capabilities and organizational structures of companies are now moving beyond their traditional organizational boundaries, with new product and service value, and new revenue streams and profits, being co-created and co-developed, even co-owned, by customers and stakeholders. For the first time in history, creative power is being distributed to many societal stakeholders, away from a few ‘suppliers’ or ‘resource controllers’. This is a ‘game-changer’ for the way in which companies are conceived, purposed, structured, operated, monetized and measured.

For companies to grow and successfully operate in this era of rising ‘connective-intelligence’ opportunities, they need to rethink the ‘what and how’ of consumer engagement and the co-creation of user-benefits, i.e. a reinvention of the company purpose, vision, structures and processes they have built for the industrial and information eras of the past. It is evidently not simply a matter of digitizing current business models, or digitally transforming current value chains and operations. It is a repurposing, reimagining and, especially, a ‘rebirth’ of the business as an entity—its fundamental purpose, nature of being in business and the ways of doing business.

How Control and Creativity Shifts Dramatically, Influencing how Company Value is Created, Captured and Delivered

With smart mobile connectivity, social media connectivity, and access to ‘Big Data’, it is astounding how the power in traditional value chains (supply and demand linkages) has been significantly shifting away from the supply side to the demand side in most industries. In the past, ‘command and control’ by executives ruled innovation and industry dynamics, with e.g. IT, R&D and Marketing mainly internalized and controlled inside companies. Connective intelligence has caused creative power—over e.g. IT, innovation, product design and development—to shift relatively from inside the company to outside the company, to consumers and other stakeholders. Thus the statement ‘The best innovators do not work for us’ (Joy’s ‘law’20).

With these shifts, a new challenge has arisen for company leadership: how should it leverage—and/or orchestrate—the rising creative and innovative connectivity power of outsiders to mutual benefit, while also incentivizing them to keep on contributing and co-creating with the company for its own benefit? And how to do that, together with relevant internal staff, while still managing an existing business model that is still profitable, based on the industrial era? The following box shows how Volvo is addressing this challenge.

How Volvo is Fundamentally Rethinking its Business

Before 2010, few Volvo lovers would have thought that it would be possible to fundamentally improve their driving experience. In essence, the executive team of Volvo Cars believed that adding digital technology would not only do so, but would also be a new source of revenue for the company. According to an article by Svahn, Mathiassen, and Lindgren (2017),21 the company also wanted to connect with innovation ecosystems that are developing externally to the current firm’s ecosystems and to ensure it was keeping up with the newest consumer electronics. The team’s vision was that some of their cars’ digital aspects could be updated after they had been manufactured and sold, to provide significant new consumer value.

Nobody believed this would be easy, as connected cars would require a basic rethink of the company, while ensuring that the core business would continue to function well. Nevertheless, a ‘rebirth’ of the company was needed if it were to make optimum use of digital technology’s opportunities. There was, however, no doubt that this change would profoundly affect the company’s identity and culture. And not every executive was initially on board, with some viewing it as a high-risk, low-reward undertaking.

Fortunately, Volvo Cars’ executive team had a very clear vision of the broad ‘probing’ parameters of their efforts, even though they did not yet know much of the specifics. They communicated this vision to the organization and provided the support and resources needed to begin the journey and to persist in these efforts.

Volvo Cars, whose environment was historically focused on a business model of particular organizational silos and product roles, consequently initiated a portfolio of different product platforms, each of which at the outset had a limited scope and a specific focus. These were progressively developed into a wider range of purposes and new consumer value. The company’s initial focus on product platforms subsequently became a focus on digital company platforms, enabling new, unforeseen, digital services in an expanding ecosystem of value.

The authors note that major lessons can be learned from Volvo Cars’ ‘rebirth’, especially that digital innovation via platforms is not merely a new technological platform or an innovation incubator, but an organization-wide and ecosystem-wide capability. It is clear that developing digital innovation capabilities is not a matter that should be undertaken without the right mindsets and company reframing, and implementing new digital capabilities. The company’s clear communication of its rebirth requirements, including its digitalization vision, purpose and capabilities required, enables it to be an innovative competitor in an increasingly digital business environment.

Keeping the above-mentioned challenges in mind, it is useful to first understand the forces and trends which are now causing a shift from the industrial era to the digital era across the world.

Making Sense of the ‘Fourth Industrial Revolution’, and the ‘Third Wave of Computing’

The following box displays the nature of the generally-accepted ‘fourth industrial revolution’, i.e. ‘Industry 4.0’, in contrast to previous industrial eras:

The Fourth Industrial Revolution in Historical Context

Industry 1.0Water & steam-power enables mechanized production: end of the 18th century, and most of 19th;

Industry 2.0Electrical power enables mass production: from early 20th century;

Industry 3.0Electronics lead to automated production (especially 1980s, 1990s, until early 2000s);

Industry 4.0Internet of Things (IoT): merging of physical and digital worlds causing ‘real-time’ data and greater automation in production through connected networks, people and machines—resulting from connected digital platforms and ecosystems of value creation, value capture and value delivery, from especially mid-2015, with the ‘explosion’ of mobile-connected devices, sensors, AI, 3D/4D printing and other technological advances.

What is often overlooked, is that the first three revolutions in the above table formed the backbone of the industrial economy—manufacturing and production of goods and services in mechanistic, resource-controlled, and company-directed ways. The ‘fourth revolution’ is a radical departure from the industrial era, often termed the digital economy or IoT economy, with new value created primarily from intellectual capital in computer software and algorithms, linked with new technologies, not from physical good and resources. The term ‘software is eating the world’ is well-known, i.e. connective intellectual capital becoming more important than ownership of resources, thereby reducing the latter’s importance. However, the concept is often misunderstood, as it is not the software that is really crucial, but what is achievable with software-linked innovation on organizational platforms in ecosystems—and how to leverage that to a company’s benefit, as we indicate in subsequent chapters of this book.

The 3rd and 4thindustrial revolutions were enabled by the IT revolution, consisting of three computing waves. The 1st computing wave, starting from the 1950’s, was the mainframe computer. The 2nd wave was Personal Computers (PCs), which dominated the IT landscape from about 1985 to 2005. The 3rd computing wave is mobile Cloud computing, being built on social networking, mobile devices, analytics applied to ‘Big Data’, and Cloud technologies—the so-called SMAC forces (see the figure below).

In turn, six technology ‘accelerators’ impact on the 3rd wave of computing (see Figure 4): robotics, natural interfaces, 3D printing, IoT (Internet of Things), cognitive systems, and ‘next-generation’ security. Some observers think we are about to enter a 4th wave of computing, the so-called ‘ambient computing’ wave, linked to the potential of AI, as well as an ‘edge computing’ trend—a move away from centralized Cloud computing to more decentralized powerful local computing platforms.

Figure 4 Continuous industry transformation and its accelerators22

Impacts of Digitalization on Industries and Consumers