An Integrative Design Framework for New Service Development

Service innovation is focused on customer value creation. At its core, customer-centric service innovation in an increasingly digital world is technology-enabled, human-centered, and process-oriented. This requires a cross-disciplinary, holistic approach to new service design and development (NSD). This paper proposes a new service strategy-aligned integrative design framework for NSD. It correlates the underlying theories and principles of disparate but interrelated aspects of service design thinking: service strategy, concept, design, experience and architecture into a coherent framework for NSD, consistent with the service brand value. Application of the framework to NSD is envisioned to be iterative and holistic, accentuated on continuous organizational and customer learning. The preliminary framework's efficacy is illustrated using a simplified telecom case example. © Springer International Publishing Switzerland 2014

Innovating how to learn design thinking, making, and innovation: Incorporating multiple modes in teaching the innovation process

Faculty in business and engineering schools are increasingly focused on teaching the fundamentals of the innovation process to students at all levels. There has been a recent embrace of teaching the innovation process through a user-centered “design thinking” methodology and on experiential “making” activities within interdisciplinary teams. Although valuable as part of an innovation curriculum, a focus on only one set of tools and methods such as design thinking may detract from other valuable approaches, thereby limiting the full range of incremental to radical innovation outcomes that students need to learn to be effective innovation leaders. In this essay we review pedagogy related to teaching innovation processes, and we categorize approaches into four modes depending on teaching method (experiential or analytical) and participant context (disciplinary or interdisciplinary). We propose that in order to teach innovation effectively, students need to be exposed to all four modes, where learning opportunities differ. We illustrate our points drawing from courses among multiple settings, and we provide implications for curriculum design that will help faculty to innovate how they teach innovation

Identification of Platform Candidates Through Production System Classification Coding

Part 5: Variety and Complexity Management in the Era of Industry 4.0International audienceChangeable and reconfigurable manufacturing appears as a natural response to a need for improved variety management. Such manufacturing systems are complicated to develop, and it can be advantageous to base or build these systems on product and production platforms. Development of platforms is, however, not a trivial task. Currently, identification and selection of candidates for inclusion in a platform is typically subjective relying on experts and tacit knowledge. The objectivity of this process can be strengthened by collecting data on existing production systems in a company and comparing these systems to each other. To do so, a coherent, consistent and preferably digital representation of multiple production systems is needed. In this research, a production system classification coding (PSCC) scheme is employed to classify and structure data for a number of existing production systems, spanning multiple departments and product families. Candidates for a production platform covering the included production systems are identified based on ranking certain platform drivers, processes and enablers

Value Creation Mechanisms of Modularisation in the Engineering Asset Life Cycle

Many companies offering physical assets have to adapt to different market requirements to maintain profitability. Product modularisation is a common solution for this challenge used by suppliers (manufacturers) of engineering assets. Modularisation enables greater product variety and increases commonality between product variants. Modularisation includes defining a set of modules, interfaces, modular architecture and configuration rules and constraints based on case specific partitioning logic. This paper reviews the main value creation mechanisms (VCMs) of product modularisation in the manufacturing industry, and studies what kind of VCMs are related to the main life cycle stages of engineering assets and how companies in case studies have incorporated VCMs. Key VCMs were identified based on the engineering asset life cycle, but other VCMs were considered to be important from a supplier’s perspective. Suppliers should consider the whole life cycle when designing engineering assets and clarify which VCMs are the most important guiding principles for their product and make trade-offs when required.acceptedVersionPeer reviewe