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Generative AI is expected to fundamentally change the process and practices of innovation but structured insights on how the technology can be used to enhance knowledge work for innovation purposes is still largely lacking. A more detailed discussion of the new division of labor between human and AI and the capabilities that are employed in the shared innovation space of human and AI is needed. Against this background, the goal of this research in progress is to gain deeper understanding of how the integration of AI and human capabilities impacts the processes and practices of innovation teams. Preliminary findings from an initial data collection with 38 participants from 19 organizations indicates that the use of generative AI impacts the formation of innovation teams as well as the knowledge process. [ABSTRACT FROM AUTHOR]

Employee-driven innovation involves all employees at all levels in improvement work in the organisation. Rather than only accessing the capabilities of research and development employees – the unique competence, insights and ideas of all staff can be activated. We use a longitudinal design to test the impact of leader training on third-level EDI as part of a psychosocial risk assessment process. Leaders are trained to listen to employees and work together to solve work environment problems. We found that idea generation and time to take a break to test new ideas increases after only six months, and this increase is sustained at 18 months compared to a control group. However, 'keenness to share ideas' and 'being listened to' were not significant compared to the control group. These findings and their implications for future research are discussed. [ABSTRACT FROM AUTHOR]

This paper aims to generate new insights to the complex issue of developing dynamic capabilities (DC) for digital transformation (DT) in healthcare, and addressing the RQ: How are the microfoundations of DCs enabled or constrained in the context of DT initiatives in healthcare? In the findings, three levels of DC are identified: Ad hoc capabilities (AC), Micro-context and Shared DC. Further, the analysis identified enablers and constraints for AC, micro-context DC and shared DC. In some situations, the factors that act as constraints at shared DC level were also identified as enablers for AC and micro-context. This indicates that some of the very things that lay the grounds for microfoundations of DC may also hamper organisationally shared DC. This points to a continuous dynamic between the AC, micro-context and shared DC levels, where calibration at all levels is necessary in order to obtain and maintain DC on all organisational levels. [ABSTRACT FROM AUTHOR]

Recently, the ISO guidance standard "Innovation management - Innovation management system" - ISO56002:2019 (ISO56002) has gained a lot of interest within the innovation management community. Recent research calls for an increased understanding of what innovation pedagogics are needed to support innovation management consultants and advisors (innovation advisors) in their work supporting its clients in the ISO56002 and the relevance of ISO56002's content for small and medium-sized enterprises (SME). In this study, building on an existing tool for measuring innovation maturity, the Innovation Management Capability Assessment and Reflection tool (IMCAR) was developed to also include a reflective part of the ISO56002 content's relevance for the responding organisation. Using the IMCAR tool, this study indicates that the ISO56002 is relevant for both SMEs and innovation advisors but also the need for further development of innovation pedagogics related to vocabulary, knowledge, facilitated reflections, and visualisation tools. Limitations and further research avenues are discussed. [ABSTRACT FROM AUTHOR]

Digital transformation is crucial for the healthcare sector, yet research shows it also possess a series of challenges (at system-, organisational-, and individual levels), which require balancing. In this study, we adopt paradox theory to understand the balancing practices and requirements for digitalisation in healthcare. Based on gaps in previous research and practice, the main research question is: what characterises balancing practices enabling digital ambidexterity in healthcare? The paper is based on an ongoing research and development project run in co-production between Mälardalen University and Region Sörmland. In the findings, tensions and organisational paradoxes in digital transformation initiatives are identified, followed by a discussion about structural constraints of balancing practices (spurring vicious cycles) and balancing practices enabling digital ambidexterity (spurring virtuous cycles). [ABSTRACT FROM AUTHOR]

As the research process, i.e. how researchers conduct research, may be disrupted by Artificial Intelligence (AI)-based tools, this research in progress stresses the need for research on the future role of researchers. Prior research on AI-based tools used in the research process, focuses primarily on technological development related to, for example, language recognition, text extraction, and paper summaries. Recently, scientific texts are generated by AI. In this research in progress, four sub-areas of interest are identified: Black-box dilemma. What part or parts of the research process, if any, can trustfully be replaced by AIbased tools? Quality. What is required for AI-based tools to become an integrated part of the research process? Benefits/limitations. What are the potential benefits and limitations with AI-based tools as an integrated part of the research process? Progress in use: What is the progress of the use and development of AI-based tools for research? Research design, potential contribution, and practical implications of this research are discussed. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) technology innovations are predicted to drive the greatest evolutionary progress in human history, accelerating the emergence of new technology innovations and affecting the way we humans live and act. In this situation, it is important to address how we can use these technologies and service innovations enabling the beneficial impacts, possibly by exceeding the human performance levels. Despite of the importance of the AI innovations and their impact in healthcare, there is still only little advance research about long-term effects on healthcare practitioners. This paper provides a literature review looking at the AI impacts to the healthcare experts. In the paper it is shown, that the field is lacking empirical evidence, but there is an indication of positive impact through communication enhancement between physician and patient, but also possibilities for clinical and cognitive skills deterioration. [ABSTRACT FROM AUTHOR]

The broad definition of innovation implies that is not and cannot be isolated to the responsibility of a single department or function in an organisation. Innovations are the result of work done by people and successful organisation create conditions for individuals to be innovative, what generally is described as an organisation's innovation climate. In this paper, we have developed a new survey instruments based on the CCQ and the HID model to help managers develop the innovation climate in an organisation. The first results from using the new survey instrument indicate that it can give concrete insights into what is needed to develop the conditions for innovation in an organisation. [ABSTRACT FROM AUTHOR]

This paper has its overall focus on assessment knowledge and competence required for purposeful use of Innovation Management Audit (IMA) assessments. Despite that empirical findings reveal that there often is a gap between the requirements of IMA-tools and the competence of the assessors, little research has focused on assessment knowledge and competence. In this work-in-progress paper, we use running performance and heart rate monitoring as an analogy to the use of IMA-tools. This paper is uses the analogy to identify three different categories of competence suggested to be required also when using IMA-tools. The suggested competence categories are; general, diagnostic and operationalisation. The purpose of the analogy is to develop an elaborative framework that can be used to identify and conceptualize IMA assessments competence and thereby contribute to both practitioners and researchers in the innovation management community. [ABSTRACT FROM AUTHOR]

This paper deals with current challenges within manufacturing industry to integrate innovation-oriented work practices in lean-production systems. The paper discuss how exploitation of current opportunities and exploration of future opportunities are manifested at an individual and group level, and, further discuss the role of exploit and explore in a lean production system. A tentative hypothesis is that as the level of expertise increases at an individual and group level, exploitation-oriented and exploration-oriented work is transcended. A tentative hypothesis is that as the level of expertise increases, exploitation-oriented and exploration-oriented work tasks transcends into a holistic work task orientation. As tasks can be treated in a more complex manner, it becomes relevant to also look into future opportunities in the endeavor of finding new and innovative solutions on current opportunities. [ABSTRACT FROM AUTHOR]

Innovation management auditing (IMA) is valuable to assess innovation capability. A review of literature shows that research-based IMAmodels are few and there are considerable variations in IMA-related research and models. The quality of different models is often unclear or limited. The purpose of this paper is to clarify the basis for valid and reliable auditing through discussing and developing a quality framework. Findings point to that there are different aims and purposes of IMA; measuring, learning about or changing innovation capability as well as improved business performance through capability enhancement. Different aims imply different focus and formulation of quality to be achieved through IMA efforts. A quality framework for IMA is developed based on aims and the trustworthiness (validity, reliability and objectivity) in achieving respective aims. The framework is proposed as a way to assess quality of different models, as a guide to enhance quality through research, and for practitioners to use models and tools in a quality-conscious way. [ABSTRACT FROM AUTHOR]