JAN MARCO LEIMEISTER is chair of Information Systems and director of the Institute of Information Management at the University of St. Gallen, Switzerland, and chair of Information Systems and director of the Research Centre for Information Systems Design at Kassel University, Germany. He heads research groups and competence centers on crowdsourcing, virtual communities, service design and service management, and collaboration and learning engineering, and manages several publicly and industry-funded research projects. His research areas include digital business and transformation, IT innovation management, service science, ubiquitous and mobile computing, collaboration engineering, and business engineering.The authors thank all the experts who participated in the interview series, Theresa Kromat for her commitment in the early phases of the research, and the reviewers and editors who provided excellent comments and feedback during all revision phases. © Christoph Peters, Ivo Blohm, and Jan Marco Leimeister This is an Open Access article. Non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly attributed, cited, and is not altered, transformed, or built upon in any way, is permitted. The moral rights of the named author(s) have been asserted. ABSTRACT: Telemedicine services may improve the quality of life of individuals while also reducing the costs of service provisioning. They represent an important but as yet understudied type of complex services that integrates many stakeholders acting in service value networks. These complex services typically comprise a combination of information technology (IT) services and highly person-oriented, non-IT services, and are characterized by long service delivery periods. In such an environment, it is particularly difficult to generate successful and sustainable business models, which are necessary for the widespread provision of telemedicine services. Following a design research approach, we develop and evaluate the CompBizMod framework, a morphological box allowing for: (1) the analysis, description, and classification of telemedicine business models, (2) the identification of white spots for future business opportunities, (3) and the identification of patterns for successful business models. We contribute to the literature by presenting a specific business model framework and identifying three business model patterns in the telemedicine industry. We exhibit how business models for complex services can be decomposed into their constituent elements and present an easy and replicable approach for identifying business model patterns in a given industry.

This paper examines emerging digital frontiers for service innovation that a panel discussed at a workshop on this topic held at the 48th Annual Hawaii International Conference on System Sciences (HICSS). The speakers and participants agreed that that service systems are fundamental for service innovation and value creation. In this context, service systems are related to cognitive systems, smart service systems, and cyber-physical systems and depend on the interconnectedness among system components. The speakers and participants regarded humans as the central entity in all service systems. In addition, data, they saw personal data in particular as key to service systems. They also identified several challenges in the areas of cognitive systems, smart service systems, cyberphysical systems, and human-centered service systems. We hope this workshop report helps in some small way to cultivate the emerging service science discipline and to nurture fruitful discussions on service innovation.

No abstract

In today's rapidly changing markets, manufacturing firms are increasingly challenged by the convergence of digital technologies and servitization, which is defined as Digital Servitization. Enterprises struggle to grasp this phenomenon's vision, constantly facing pressures to obtain and retain competitive advantage, inventing and reinventing new products and services, reducing costs and time to market, and enhancing quality at the same time. They need to define improvement actions to be taken to navigate through the transformation process and prioritize between different activities. Prior research has highlighted the importance of how to proceed into this transformation, however less emphasis has been put on suggesting suitable activities that fit the organization's current status and future goals. To overcome this challenge, we propose a maturity model for digital servitization that serves as an assessment tool. The design of our maturity model is grounded in literature and expert interviews. During its evolutionary development, we gathered, structured and organized several critical requirements for digital servitization. We could also explore and highlight important attributes that must be examined by companies during the transformational process. We contribute by our proposed maturity model that serves companies not only as a diagnostics tool to assess the current situation, but also as a guideline for continuous improvement.

4. Зміст роботи (перелік питань, які потрібно розробити) Вступ. 1 Аналіз предметної області інноваційного концепту Індустрія 4.0. 1.1 Інформаційнотехнологічний та цифровий контекст виникнення Індустрії 4.0. 1.2 Означення терміну Індустрія 4.0. 1.3 Технологія, гнучкість та продуктивність Індустрії 4.0. 1.4 Стійкість та людиноцентрованість Індустрії 4.0. 2 Аналіз застосування інформаційних технологій для організації виробництва за принципами Індустрії 4.0. 2.1 Бізнес-процеси виробництва за принцмпами Індустрії 4.0. 2.2 Ключові цінності Індустрії 4.0. 2.3 Інформаційно-технологічне забезпечення Індустрії 4.0. 2.4 Допоміжні технології що інтегруються в Індустрію 4.0. 2.5 Розробка нового продукту з врахуванням концепту Індустрія 4.0. 2.6 Перспективи подальших досліджень в галузі Індустрії 4.0. 3. Безпека життєдіяльності, основи охорони праці. Висновки. Перелік джерел. 5. Перелік графічного матеріалу (з точним зазначенням обов'язкових креслень, слайдів) 1 Титульна сторінка. 2 Тема та мета роботи. 3 Завдання роботи. 4 Актуальність роботи. 5 Прогресивна глобалізація. 6 Для Індустрії 4.0 базовим… 7 Коли CPS взаємодіють. 8 Хмарні інформаційні технології. 9. Інноваційні інформаційні технології. 10 Поява нових технологій. 11 Сфера найбільшого впливу Індустрії 4.0. 12 Індустрія 4.0 є темою. 13 Модель еталонної архітектури. 14 RAMI 4.0. 15 Ключові цінності Індустрії 4.0. 16 Інформаційнотехнологічне забезпечення. 17 Допоміжні технології. 18. Технологічні чинники. 19. Висновки. 20 Доповідь завершено.

No abstract

Currently, research on service science has emerged as its own discipline, where service systems are its basic unit of analysis. However, without a clearly defined modeling approach for service systems, analyzing a service system is challenging. We therefore propose a conceptual hypergraph-based modeling approach, which can be used to model services for both traditional goods-dominant businesses, as well as service-businesses. We define key elements of a service system, while drawing upon hypergraph theory and present three modeling properties which are required to model a service systems graph (SSG). The focus of SSGs is to describe the relationships between the various resources, actors and activities, thus configuring a service system. It provides the foundation for computer graphic simulations and database applications of service business structure for future research.

In numerous studies, information and communications technology (ICT) has been shown to be an enabler of service innovations in human-centered service systems (HCSSs). The resulting findings, however, have not been presented in a systematic way. Therefore, we present an integrated and representative overview of the literature on ICT-enabled service innovation in HCSSs. To show the existing findings, we reviewed papers from top journals in the fields of management science, information systems, service research, and innovation management. By using a systematic literature review, we identified 37 relevant papers. We systematically assessed the papers based on an analytical framework that consists of a four-phase management process and the components of service systems. We showed that the research background and the research methods used in the papers are very diverse, representing a large research field with a varying degree of knowledge. Based on our findings, we derived a specific agenda for future research.