In many business domains, rapid changes have occurred as a consequence of digital innovation, i.e., the application of novel information technologies to achieve specific business goals. A domain where digital innovation has great potential is smart mobility, which aims at moving around large sets of people and goods in a specific geographic setting in an efficient and effective way. So far, many innovations in this domain have concentrated on relatively isolated, technology-driven developments, such as smart route planning for individual travelers. Nice as they are, they have relatively small impact on mobility on a large scale. To achieve substantial digital innovations-for example, optimizing commuting on a city-scale-it is necessary to align the efforts and related values of a spectrum of stakeholders that need to collaborate in a common business model. To this aim, the study proposes the use of service-dominant business logic, which emphasizes the interaction of value network partners as they co-create value through collaborative processes. Moving to this paradigm has significant implications on the way business is done: the business requirements for services will change faster, and the complexity of value networks required to meet these requirements will increase further. This requires new approaches to business engineering that are grounded in the premises of servicedominant logic. The paper introduces the service-dominant business model radar (SDBM/R) as an integral component of a business engineering framework. Following a design science approach, the SDBM/R has been developed in close collaboration with industry experts and evaluated through an extensive series of hands-on workshops with industry professionals from several business domains. This paper focuses on the application and evaluation in the smart mobility domain, addressing the design of new business models for digital innovation of collaborative transport of people and goods. In summary, it contributes a novel business design approach that has an academic background and relevant practical embedding.

No abstract

No abstract

Business services are offerings that enable organizations to achieve their strategic objectives by making their functionality accessible to their customers and business partners. Thus, organizations pay significant attention to and invest in the explicit identification and definition of their business services. This is, however, not a trivial endeavor as multiple concerns that are intrinsic to the concept of business service should be taken into consideration in identifying services. Existing business service identification methods used in isolation do not offer adequate coverage for these concerns. Addressing this issue, we propose a novel method assembled by situational method engineering from a set of existing service identification methods, taking the best aspects from each of them. In this paper, we present an instantiation of the situational method engineering approach alongside the details of the constructed method. We also provide a demonstration of the method with an illustrative scenario based on a real-life business case.

No abstract