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Royal Philip's goal was to use innovation to improve the lives of three billion people a year by 2025. To reach that goal, the company was shifting from selling medical products in a transactional manner to providing integrated healthcare solutions based on digital health technology ("HealthTech").
This shift required a dual transformation. On one hand, the company needed to transform how healthcare was conducted. Healthcare professionals would have to change the way they worked and reimbursement schemes needed to change to incentivize payers, providers, and patients in vastly different ways. On the other hand, Philips needed to redesign how it worked internally. The company componentized its business, introduced digital platforms, and co-created solutions with the various stakeholders of the healthcare industry.
In other words: Royal Philips was transforming itself in order to reinvent healthcare in the digital age.
To generate greater value faster from digital innovation, many companies are increasing how much they learn from their own innovation efforts. However, in many companies, these changes are limited to one stakeholder group: innovation teams. Two other stakeholder groups, senior executives and experts from corporate functions, also need to learn from digital innovation initiatives. We have defined three learning imperatives that address a company’s needs to learn continually about building (1) a successful innovation, (2) a portfolio of initiatives that realizes strategic objectives faster, and (3) shared resources that propel multiple initiatives. All three imperatives involve collecting data regularly from digital innovation initiatives. In this research briefing we outline the three learning imperatives and provide examples of how companies are pursuing them to achieve strategic objectives more effectively and efficiently.
THE PROBLEM: Companies create problems for customers and employees when product innovation goes unmanaged. Eventually, excessive operational complexity hurts the bottom line.
THREE SOLUTIONS: Focus on product integration, not product proliferation. Make sure your product developers work closely with customerfacing and operational employees. And settle on a high-level purpose that can guide decision making.
PI Chile, a subsidiary of the Principal Financial Group, adopted a new digital vision in 2017 and initiated a transformation of the company with the goal of using digital offerings to help many more customers reach their financial goals. To do this, PI Chile had to wrap its legacy applications in APIs, build a reusable digital platform for the new offerings, and learn what kinds of tools and information customers would and could use. In addition, PI Chile was experimenting with entirely new ways of working for those staff who were developing the new offerings. The company's new accountability framework sought to empower teams to make key decisions quickly. In a short time, PI Chile was well on its way to becoming designed for digital.
IT platforms as the foundation of digitized processes and products are vital in a digital economy. However, many companies’ platforms are liabilities, not strategic assets because of their complexity. Consequently, companies initiate IT complexity reduction programs. But these technology-centric programs at best provide temporary relief. Soon after, companies’ platforms become just as complex as before. Based on four case studies, we identify three non-technical drivers of platform complexity: (1) Lacking awareness of consequences business decisions have on platform complexity, (2) Lacking motivation to avoid platform complexity, (3) Lacking authority to protect platforms from complexity. We propose measures to address these drivers that can help achieve more sustainable impact on platform complexity: (1) Removing information asymmetries between those creating complexity and those dealing with complexity, (2) Redefining incentives to include long-term effects on platform complexity, (3) Redressing power imbalances between those who create complexity and those who have to manage it.
This research briefing describes the organizational capability of scaling at scale, which we define as enabling multiple digital innovation initiatives to realize bottom-line value from their innovation by leveraging shared resources. We illustrate this concept with a case study from global multi-energy company Repsol, which implemented scaling at scale to cultivate a portfolio of more than 450 initiatives and helped over seventy percent of initiatives to reach the scale-up stage. As a result, over five years Repsol realized €800 million of bottom-line value from digital innovations.
As businesses grow and diversify, they almost inevitably make their range of offerings more complex. Complexity brings costs - but smart use of today’s digital technologies can help companies finesse the trade-offs between complexity´s costs and benefits. Imagine a retailer that has 10 million products and hundreds of variations for each product yet keeps it simple for customers to make a choice. Impossible? Not today. Amazon.com Inc. creates value from its product complexity with simple customer-facing processes, such as search, ratings, reviews and suggestions. Now imagine a diversified high-tech company with locally differentiated products in 60 categories in more than 100 different countries. A mess of internal processes and systems? Not necessarily. Royal Philips creates value by providing locally relevant products to different markets, while keeping the vast majority of its processes standardized on digitized platforms. Until now, managing business complexity has usually involved a trade-off. This trade-off forced companies to compromise between creating value from complexity and benefiting from the efficiencies of simplicity. As businesses entered new geographies, developed new products, opened new channels and added more granular customer segments, they made their offerings more complex with the intention of adding value. But, as an almost inevitable consequence, companies also made it more difficult for customers to interact with the company and more unwieldy for employees to get things done. However, with today´s increased digitization, companies can finesse this trade-off; they can increase valueadding complexity in their product offerings while keeping processes for customers and employees simple. Our research suggests that companies operating in this "complexity sweet spot" outperform their competitors on profitability. In this article, we explain how companies achieve this breakthrough in the digital world.
Successful digital business strategies rely less on strategic analysis and big bets than on experiments and learning. Consider, for example, that Airbnb grew out of the belief that people would pay to sleep on air mattress on a stranger's floor. Similarly, Instagram started as an app for checking in and hanging out with friends (and sharing pictures) that proved complicated to use. Twitter's founders had first tried a podcasting platform, Odeo, which Apple made obsolete with iTunes. AUDI AG had to kill of its "share a car with five friends" app before rolling out more successful mobility services in a number of countries. The digital successes did not grow out of a comprehensive upfront analysis. Digital strategy emerges from an idea - often, not a particularly good idea.
Digital technologies are moving into physical products. Smart cars, connected lightbulbs and data-generating tennis rackets are examples of previously “pure” physical products that turned into “digitized products”. Digitizing products offers many use cases for consumers that will hopefully persuade them to buy these products. Yet, as revenues from selling digitized products will remain small in the near future, digitized product manufacturers have to look for other sources of benefits. Producer-side use cases describe how manufacturers can benefit internally from the digitized products they produce. Our article identifies three categories of such use cases: product-, service-, and process-related ones.
To remain relevant and mitigate disruption, traditional companies have to engage in multiple fast-paced experiments in digital offerings—revenue-generating solutions to what customers want and are willing to pay for, inspired by what is possible with digital technologies. After launching several digital offering initiatives, reinsurance giant Munich Re noticed that many experienced similar challenges. This case describes how Munich Re addressed these common challenges by building a foundation to help its digital offerings succeed. The foundation provided prioritized and staged funding; dedicated, hands-on expertise; and a digital platform of shared services. By 2020, this foundation was helping to support over seventy initiatives, including several that were in the market generating new sources of revenue for the company by enabling its clients—insurance companies—to better service their own customers.
The MIT Center for Information Systems Research surveyed 255 executives in 2015 to investigate how companies are managing business complexity. This report details the findings from our analysis of the survey data:
1. Some product complexity adds value, some does not. Specifically, companies with more links (aka integration) in their product and service portfolio are higher performing. - 2. Product variety makes it more difficult for costumers and employees to get things done. These customers and employee difficulties impair a company's performance. - 3. Companies that excel at making it easy for employees and customers to get things done differentiate themselves by applying a set of complexity management practices around enterprise architecture, role reconfiguration, and the use of metrics and incentive systems.
Based on these findings, we recommend that companies make product complexity a strategic chois, invest in the abovementioned complexity management practices, and use costumer and employee dfficulties as key metrics for product innovation.
Most digital innovations fail when they transition from the exploring to the scaling stage. We describe how freeyou, the digital innovation spinoff of a major German insurer, successfully scaled online-only car insurance, focusing particularly on how it managed the IT-related challenges. The stark differences between the stages required very different approaches to application development, IT organization and data analytics. Based on freeyou’s experience, we provide recommendations for successful transitioning from exploring to scaling.
The digital economy has created intense demands for innovations. Companies are responding in part by creating new digital products and services to meet increasing customer expectations.
MIT CISR findings indicate that product variety is NOT directly related to firm performance, and IS related to increased difficulties for costumers and employees.
The use of digital, IT-based components in physical products is becoming increasingly relevant in practice. Surprisingly, the strategic impact of these "digitized products" has not received a lot of attention in IS research so far. Extant papers on the topic rely on ambiguous terminology (e.g., "smart products", "cyber-physical systems", "digital product-service systems") and underlying concepts differ widely. Based on an extensive literature review, this article provides an overview of the different terms and identifies five conceptual elements that form the building blocks of digitized products in research: "hybridity" (i.e., the combination of digital and physical components), connectivity, smartness, digitized product-service bundles (servitization of digitized products), and digitized product ecosystems. The implication for practitioners is that each element comes with different managerial challenges that companies need to address when incorporating the respective element in their products. The research implication is that each conceptual element is supported by different theoretical streams.
Executive education in IS is under the scrutiny of many institution for the potential to bring in financial revenues. However teaching executives can be a very challenging task because of the previous experiences, variation in their previous education, and multiplicity of motivations for pursuing a continuous education. The panel aims at sharing successful experiences and highlighting challenges of dealing with executive audiences. The panel will present the results of a large survey among executive students and identify the three most significant elements emerged from the survey: the importance of theory that is actionable, the importance of varied pedagogical tools and practices, and the importance of relevance beyond practical tools. Based on a survey that will be distributed to the audience at the beginning of the panel, the audience will be actively engaged in sharing their experiences on the three topics aiming at capitalize and sum up the collective knowledge of the room.
IOS 2.0 : new aspects on inter-organizational integration through enterprise 2.0 technologies
(2015)
This special theme of „Electronic Markets“ focuses on research concerned with the use of social technologies and "2.0" principles in the interaction between organization (i.e., with "inter-organizational systems (IOS) 2.0"). This theme falls within the larger space of Enterprise 2.0 research, but focuses in particular on inter-organizational use (between enterprises), not intra-organizational use (in a single enterprise). While there is great interest in practice regarding the use of 2.0 technologies to support intra-organizational communication, collaboration and interaction, information systems (IS) research has largely been oblivious to this important use of social technologies.
By integrating its previously separate insurance, banking and investment products around customer life events (e.g., buying a car, getting married or buying a house), USAA is able to deliver a superior customer experience. To achieve the integration, USAA had to re-architect its business by redesigning structures, roles, incentives, processes and IT systems. The USAA case provides four principles for architecting a business to provide superior customer experience, which will become increasingly important in the digital economy.
The variety and interdependencies of enterprise systems that digitize large organizations’ processes have grown significantly, resulting in complex enterprise systems landscapes. Avoiding such complexity requires addressing the IT-business engagement gap between (inadvertent) producers of complexity in the business and those in IT who have to manage it. We identify mechanisms for tackling three components of this gap: 1) bridging the awareness gap through information sharing, 2) narrowing the incentive gap through shared goals, and 3) closing the authority gap by evening out power differentials through empowerment.
Recent MIT CISR research found that an obsessive focus on innovation is a characteristic of CIOs of top-performing firms. There are now more ways than ever that a firm can be disrupted by and disruptive with digital innovations. Indeed, a growing number of firms and individuals are using increasingly powerful digital technologies and figuring out ways to develop better products and services, better customer and employee experiences, and new business models. The new digital imperative is to compete with more types of digital innovations - and IT units must refine approaches to producing them. Based on an in-depth caste study, this briefing takes a look at how German car manufacturer AUDI AG has expanded its portfolio of digital innovations.