While literature and practice acknowledge the potential of service innovation as well as digitally enabled innovation processes, the diverse innovation process literature lacks a process model which combines these two aspects. This systematic literature review aims at filling this gap by analysing innovation process theories and approaches with a specific focus on service and digital innovation. 25 conceptualisations of innovation processes were distilled and analysed in detail to present a ‘digital innovation process for services’ model which includes steps on three levels. Consequently, this literature review expands the current state-of-research and acts as the groundwork for further innovation research projects.
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Small and medium-sized businesses (SMBs) face unique challenges in developing AI-enabled products and services, with traditional innovation processes proving too resource-intensive and poorly adapted to AI's complexities. Following design science research methodology, this paper introduces Innovation Process for AI-enabled Products and Services (IPAPS), a framework specifically designed for SMBs developing AI-enabled solutions. Built on a semi-formal ontology that synthesizes literature on innovation processes, technology development frameworks, and AI-specific challenges, IPAPS guides organizations through five structured phases from use case identification to market launch. The framework integrates established innovation principles with AI-specific requirements while emphasizing iterative development through agile, lean startup, and design thinking approaches. Through polar theoretical sampling, we conducted ex-post analysis of two contrasting cases. Analysis revealed that the successful case naturally aligned with IPAPS principles, while the unsuccessful case showed significant deviations, providing preliminary evidence supporting IPAPS as a potentially valid innovation process for resource-constrained organizations.
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Uit het vooronderzoekvan het project Duurzamelearning communities: Oogstenin de Greenportblijkt dat12 factorenhierbijvan belangrijk zijn. Deze succesfactoren staan centraal in de interactieve tool Seeds of Innovation. Ook komen uit het vooronderzoek, aangevuld met inzichten uit de literatuur en tips om de samenwerking door te ontwikkelen en meer gebruik te maken van de opbrengsten 12 succesfactoren met toelichting, belangrijkste bevindingen en tips voor ‘hoe nu verder’, Poster, Walk through, De app die learning communities helptde samenwerkingnaareenhogerplan te tillenen innovatieveopbrengstenoptimaalte benutten.
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From the paper: "Abstract This study investigates whether there are major differences between process management and innovation between the IT and more traditional industries. Although both industries are quite similar, the research results show that the IT industry is more innovative in comparison to more traditional industries. The traditional industries are more risk averse towards new technologies, which makes them less innovative than the IT industry."
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To survive in the increasing globalization competition, companies are required to continuously increase their productivity and enhance innovation. To realize this enhanced productivity, Business Process Management (BPM) maturity models are often used to analyze, improve and manage business processes across the organization. Literature suggests that a relation between BPM maturity and innovation could exist and recommends more research in specific sectors. Specifically, the financial sector is facing a fintech revolution, putting an enormous pressure on how they deal with technology innovation, process disruption and service transformation. Therefore, the objective of this research is to determine the relation between business process management maturity and innovation in the financial sector. Data was collected using a survey at a large financial enterprise in Europe, resulting in sixty-eight responses. Regression analysis shows that 20.6% of the variance in innovation can be explained by BPM maturity.
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The promotor was Prof. Erik Jan Hultink and copromotors Dr Ellis van den Hende en Dr R. van der Lugt. The title of this dissertation is Armchair travelling the innovation journey. ‘Armchair travelling’ is an expression for travelling to another place, in the comfort of one’s own place. ‘The innovation journey’ is the metaphor Van de Ven and colleagues (1999) have used for travelling the uncharted river of innovation, the highly unpredictable and uncontrollable process of innovation. This research study began with a brief remark from an innovation project leader who sighed after a long and rough journey: ‘had I known this ahead of time…’. From wondering ‘what could he have known ahead of time?’ the immediate question arose: how do such innovation journeys develop? How do other innovation project leaders lead the innovation journey? And could I find examples of studies about these experiences from an innovation project leader’s perspective that could have helped the sighing innovation project leader to have known at least some of the challenges ahead of time? This dissertation is the result of that quest, as we do know relatively little how this process of the innovation project leader unfolds over time. The aim of this study is to increase our understanding of how innovation project leaders lead their innovation journeys over time, and to capture those experiences that could be a source for others to learn from and to be better prepared. This research project takes a process approach. Such an approach is different from a variance study. Process thinking takes into account how and why things – people, organizations, strategies, environments – change, act and evolve over time, expressed by Andrew Pettigrew (1992, p.10) as catching “reality in flight”.
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These are hard days for companies: they have to survive in a market that has been hit by a financial crisis. Many countries in Europe have severe problems trying to overcome this financial crisis. The main remedy applied by governments is to cut back on expenditure, but on the other hand it is said that it is important for a country, and especially for companies, to invest in innovation. These innovations should lead to innovative products that will lead to profitability turnovers for these companies and, as a consequence, improve the economic conditions in a country. Universities provide students with engineering competences, like develop innovation, with which they can show a higher degree of ability to answer complex questions such as how to become players in the market again. Teaching students to become more innovative engineers, Fontys University of Applied Sciences, Department of Engineering, has designed a curriculum in which students are educated in the competence innovation. An important element in the process of teaching innovation to students is the approach of inquiring into possibilities of patents. In the second semester of the first year, students can decide to join an innovative project called: ‘The invention project’. The basis of this project is that students are given the opportunity to create their own invention and with their previously acquired knowledge and skills they design, calculate, prototype and present their invention. In a research project, the experiences of students in this Invention Project have been analysed. The goal of this study was to understand what the success factors are for such a project. The basis of this inquiry is a questionnaire to identify the opinions of students. The research was carried out in the spring semester of 2012. In total 31 students were involved in this research. The results show that there was a high degree of student satisfaction about the Invention Project focused on innovation development. Success factors for this project in the first year of the curriculum were seen: 1 to work on own inventions, 2 development of student’s perception of the total product creation process and 3 to make students see the relevance of contacts with real professionals from industry and from the patent office in their own project. Improvements can be made by: 1 helping students more during the creativity stage in the project and 2 to coach them more on the aspect of engineering a successful invention of which they can be proud. This Invention project is a interesting with which collaborations with other universities can be set up.
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This report presents research on success factors of learning communities with a case study of the Innovation Lab Hanze International Business Office (further – Innovation Lab HIBO) at Hanze University of Applied Sciences Groningen, the Netherlands. The research project is a part of the broader research programme on innovation of education and the success factors of learning communities carried on by a number of researchers at Hanze University of Applied Sciences Groningen (further – Hanze University AS).In answering the main research question on success factors of learning communities and, specifically, the Innovation Lab HIBO, two sub-questions were formulated: the first deals with school level expectations about the Innovation Lab HIBO, whereas the second explores what are the institutional expectations and guidelines regarding living labs at Hanze University AS. The research focus is on formalised expectations about the goals and outcomes of living labs, as attaining the established goals and outcomes would testimony a successful activity of a living lab. The factors that facilitate or determine whether the goalsand outcomes of living labs are achieved are therefore the success factors.The analysis of both school level expectations about the Innovation Lab HIBO and the institutional expectations and guidelines regarding living labs reveals a number of success factors, conditions, and preconditions. As these do not coincide, it is argued that finding the right balance between local, school level, expectations and the institutional goals is crucial for the successful performance of living labs. Another important factor for successful performance of the living lab and, specifically the Innovation Lab HIBO, is development of a learning community. This process would require strengthening of an open organisationalculture and facilitation of exchange of ideas and learning process.The research project was carried on in the period from February 1, 2020, till August 30, 2020. From September 2020 the follow up research is planned into operationalization of success factors, definition of performance criteria, performance evaluation, development of suggestions for improvement of performance, and development of a blueprint for the establishment of innovation labs.
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Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational level. An event log can be described as a database entry that signifies a specific action in a software application at a specific time. Simple examples of these actions are customer order entries, scanning an item in a warehouse, and registration of a patient for a hospital check-up.Process mining has gained popularity in the logistics domain in recent years because of three main reasons. Firstly, the logistics IT-systems' large and exponentially growing amounts of event data are being stored and provide detailed information on the history of logistics processes. Secondly, to outperform competitors, most organizations are searching for (new) ways to improve their logistics processes such as reducing costs and lead time. Thirdly, since the 1970s, the power of computers has grown at an astonishing rate. As such, the use of advance algorithms for business purposes, which requires a certain amount of computational power, have become more accessible.Before diving into Process Mining, this course will first discuss some basic concepts, theories, and methods regarding the visualization and improvement of business processes.
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The model of the Best Practice Unit (BPU) is a specific form of practice based research. It is a variation of the Community of Practice (CoP) as developed by Wenger, McDermott and Snyder (2002) with the specific aim to innovate a professional practice by combining learning, development and research. We have applied the model over the past 10 years in the domain of care and social welfare in the Netherlands. Characteristics of the model are: the interaction between individual and collective learning processes, the development of (new or better) working methods, and the implementation of these methods in daily practice. Multiple knowledge sources are being used: experiential knowledge, professional knowledge and scientific knowledge. Research is serving diverse purposes: articulating tacit knowledge, documenting the learning and innovation process, systematically describing the revealed or developed ways of working, and evaluating the efficacy of new methods. An analysis of 10 different research projects shows that the BPU is an effective model.
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