Formative Evaluation of Data-Driven Business Models – The Data Insight Generator

New technological developments such as Big Data or, the Internet of Things lead to exponentially increasing amounts of data created and stored by organizations. As a consequence, new data-driven business models (DDBMs) appear. These business models have special characteristics which need to be included in the business model development process. Thus, different methods and tools have emerged to support the development of DDBMs. One of these is the Data Insight Generator (DIG) which seeks to combine the key resource and value proposition of a DDBM. This paper comprises the application of the thinking-aloud method for a formative evaluation of the DIG. The contribution of this paper is twofold. First, the usability of the DIG is tested and implications for further development are derived. Second, the paper provides empirically-based insights into development of DDBM that facilitate the future development of such business models

FORMATIVE EVALUATION OF BUSINESS MODEL REPRESENTATIONS - THE SERVICE BUSINESS MODEL CANVAS

Drivers like global competition, advances in technology, and new attractive market opportunities foster a process of servitization and thus the search for innovative service business models. To facilitate this process, different methods and tools for the development of new business models have emerged. Nevertheless, business model approaches are missing that enable the representation of co-creation as one of the most important service-characteristics. Rooted in a cumulative research design that seeks to advance extant business model representations, this goal is to be closed by the Service Business Model Canvas (SBMC). This contribution comprises the application of thinking-aloud protocols for the formative evaluation of the SBMC. With help of industry experts and academics with experience in the service sector and business models, the usability is tested and implications for its further development derived. Furthermore, this study provides empirically based insights for the design of service business model representation that can facilitate the development of future business models

Business modeling for services: Current state and research perspectives

This paper reviews business model literature from the perspective of extant business modeling approaches in order todiscover research gaps and to outline perspectives which show the possible development of business model modeling.Due to the growing importance of services for many companies and the resulting transformation of product basedbusiness models to service based business models, the paper focuses on the link between business models and services.Thus the paper identifies how the business model construct can provide support for the analysis and design of servicebusiness models. The contribution ends with a brief discussion of missing service-related aspects

Engaging Users to Co-Create - Implications for Service Systems Design by Evaluating an Engagement Platform

Far-reaching digitalization affords significantly more opportunities for engaging actors and mobilizing resources in service systems. By leveraging these capabilities, digitally enabled service systems can facilitate user-generated services. Traditional service engineering approaches provide for such service systems. This paper presents and discusses the evaluation of a field-based design science research project for designing an engagement platform that facilitates the co-creation of user-generated services. This study reports contributions to the design knowledge of such an engagement platform and their consequences for engagement activities. Based on the evaluation, we propose design propositions for such an engagement platform from a sociotechnical perspective

Managing for Transfer of Training: Directions for the Evolution of Learning Management Systems

Due to the still growing relevance of lifelong learning especially in a corporate context it is necessary to ensure that efforts taken in developing competencies of employees are affecting the performance at the workplace. This transfer of training (TOT) is a well-known concept in education research. As this paper shows there is still a lack of methods that are actually utilized in practice. Especially, there is still a lack of knowledge how information technology can help to raise the TOT. For this reason this paper is grounded on an extensive literature review and identifies how support of the TOT is utilized. After that it analyzes the use of information technology in this context and leads to implications for further research and the development of tools to enhance the TOT

The AI-based Transformation of Organizations: The 3D-Model for Guiding Enterprise-wide AI Change

Artificial Intelligence (AI) is increasingly gaining importance for organizations due to its immense potential for value creation and growth. However, companies struggle to tap this potential, as many AI projects fail in the early stages because of lacking guidance and best practices. To shed light on how AI adoption and transformation can be approached and what challenges organizations face, we analyzed eleven organizations of varying sizes and industries. Drawn on these insights, we identify four transformation types distinguished by different AI transformation stages and journeys. Furthermore, we develop a 3D-Model to guide enterprise-wide AI change and propose concrete recommendations for action on each dimension. Our findings help practitioners navigate, manage, and (re)evaluate their AI strategy for an enterprise-wide transformation

Enhancing transfer-of-training for corporate training services: Conceptualizing transfer-supporting IT components with theory-driven design

Corporate training services have grown into a key approach for improving performance and a substantial industry in recent years due to increased job requirements, workforce flexibility and lifelong learning. Transfer-of-training is a key output of these services, defined as the application and generalization of new competences at work acquired in training. Corporate trainings are exemplars of highly co-created services. Improving the output productivity through better transfer-of-training requires collaboration between providers and customers. IT could be an enabler to embed transfer-related activities for transferring training contents to the work. However, IT support is missing for improving transfer-of-training in corporate trainings. Inspired by service logic and based on training research, this paper employs a theory-driven and iterative design approach to develop transfer-supporting IT components for corporate trainings. Furthermore, we present the implemented prototype, findings from several design interactions and report on the on-going summative evaluation in an international service management training

Deriving Design Principles for Improving Service Modularization Methods - Lessons Learnt from the Complex Integrated Health Care Service System

In recent years, the principle of modularity has been increasingly applied to services as service providers seek to reduce time and cost of delivering customized service offerings. Given the intangible nature of many services, the identification of all elements and interdependencies is more challenging compared to technical systems. Uncertainty or vagueness of system composition can lead to higher efforts in system analysis and limit the quality of design decisions derived from a modularization of a service architecture. Therefore, we propose an iterative approach for the application of the Multiple Domain Matrix method for the modularization of complex service systems. By performing a detailed analysis of the service system’s elements and interdependencies, we propose design principles that enhance the application of the Multiple Domain Matrix method to complex service systems in order to increase the information quality of the analysis. The design principles emphasize interdependent consistency checks and a structured dialogue between service system analysts and domain experts that refine the model of the service system underlying the modularization. We demonstrate our approach by an application to a complex service system for integrated health care service in mental health care