330 Wirtschaft
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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.
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.
To remain relevant and mitigate disruption, traditional companies have to engage in multiple fast-paced experiments in digital offerings: revenue-generating solutions that leverage digital technologies to address customer needs. After launching several digital offering initiatives, reinsurance giant Munich Re noticed that many experienced similar challenges. This briefing describes how Munich Re addressed these common challenges by building a foundation for experimenting more systematically and successfully with digital offerings. The foundation has enabled Munich Re to become a serial innovator of digital offerings.
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.
Established companies are facing two transformations involving digital technologies: becoming digitized and becoming digital. The platforms enabling these transformations are fundamentally different in their purpose, target state, success metrics — and especially, in the key responsibilities of senior leaders. Because of these differences, companies will need to apply new rules new roles, processes, metrics, and norms — to the new digital platform. To develop new rules leaders should (1) separate the teams working on the digital platform, (2) allow digital platform leaders to experiment with new rules, and (3) identify new leaders and coach them to succeed with new rules. Given the time it takes to establish new rules, companies need to start breaking old rules now.
Digitale Transformation: Können Sie den Begriff noch hören, ohne mit den Augen zu rollen? Auch wenn der Begriff in aller Munde ist, besteht immer noch große Verwirrung darüber, was eigentlich so neu daran sein soll. Immerhin setzen Unternehmen ja (digitale) Informationstechnologien (IT) seit Jahrzehnten ein, um Geschäftsprozesse zu verbessern.
Im Projekt wurden die wirtschaftliche Bedeutung und der Nutzen digital physischer Produkte in der Kreativwirtschaft untersucht, sowie sich bei der Herstellung digital-physischer Produkte ergebende Herausforderungen und Praktiken zu deren Überwindung. Hierzu wurden eine Literaturrecherche, qualitative Interviews und eine Umfrage durchgeführt. Abschließend wurden einzelne Firmen der Kreativwirtschaft fallstudienhaft untersucht.
Die Ergebnisse haben wir zu folgenden Kernbotschaften verdichtet:
Digital-physische Produkte sind derzeit noch nicht sehr weit verbreitet in der Kreativwirtschaft und nur wenige Firmen sind bereits an deren Erstellung beteiligt.
Für Firmen der Kreativwirtschaft, die bereits digital-physische Produkte herstellen, haben solche Produkte bisher eine geringe wirtschaftliche Bedeutung. Dagegen wird die strategische Bedeutung schon heute als hoch eingeschätzt und Firmen erwarten durchschnittlich eine Verdopplung der wirtschaftlichen Bedeutung (Anteil am Umsatz >50%) in den nächsten drei Jahren.
Firmen, die ihre digital-physischen Produkte als erfolgreich einschätzen, geben an, sich stark auf das physische Produkt zu fokussieren: Synergien werden zwischen physischen und digitalen Angeboten geschaffen, physische Produkte werden durch digitale Komponenten attraktiver gestaltet und die digitale Anreichung physischer Produkte dient als Marketing-Tool. Firmen geben an, dass dies zu einer Steigerung des Absatzes und der Zufriedenheit bestehender Kunden des bisher rein physischen Produktes führt.
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.
The modern industrial corporation encompasses a myriad of different software applications, each of which must work in concert to deliver functionality to end-users. However, the increasingly complex and dynamic nature of competition in today’s product-markets dictates that this software portfolio be continually evolved and adapted, in order to meet new business challenges. This ability – to rapidly update, improve, remove, replace, and reimagine the software applications that underpin a firm’s competitive position – is at the heart of what has been called IT agility. Unfortunately, little work has examined the antecedents of IT agility, with respect to the choices a firm makes when designing its “Software Portfolio Architecture.”
We address this gap in the literature by exploring the relationship between software portfolio architecture and IT agility at the level of the individual applications in the architecture. In particular, we draw from modular systems theory to develop a series of hypotheses about how different types of coupling impact the ability to update, remove or replace the software applications in a firm’s portfolio. We test our hypotheses using longitudinal data from a large financial services firm, comprising over 1,000 applications and over 3,000 dependencies between them. Our methods allow us to disentangle the effects of different types and levels of coupling.
Our analysis reveals that applications with higher levels of coupling cost more to update, are harder to remove, and are harder to replace, than those with lower coupling. The measures of coupling that best explain differences in IT agility include all indirect dependencies between software applications (i.e., they include coupling and dependency relationships that are not easily visible to the system architect). Our results reveal the critical importance of software portfolio design decisions, in developing a portfolio of applications that can evolve and adapt over time.