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The proliferation of convergence of digital technologies SMACIT (social, mobile, analytics, cloud, and Internet of Things) has created significant threats and opportunities to established companies. Business leaders must rethink their business strategies and develop what we refer to as a digital strategy. Our research shows four keys to successfully defining and executing a digital strategy:
1. zeroing in on a customer engagement or digitized solutions strategy to guide the transformation, 2. building operational excellence, 3. creating a powerful digital services backbone to facilitate rapid innovation and responsiveness, and 4. ensuring ongoing organizational redesign. A list of publications from the research is provided at the end of this document.
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.
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 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.
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.
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.
In 2016, German car manufacturer the Audi Group (AUDI AG) was working on an expanding array of digital innovations. The goals of these innovations varied, and included strengthening customer- and employee-facing processes, digitally enhancing existing products, and developing new, potentially disruptive business models. Audi's IT unit was critical to each of these efforts. This case examines the different ways in which digitization can help to enhance and transform an organization's processes, products, and business models. The case also highlights the challenges that may arise as organizations attempt to expand and diversify their portfolio of digital innovations.
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.
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.