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Roadmapping has been used as an approach to support market, product and technology-integrated planning, resulting in a document commonly known as a roadmap. Despite the gains made in relation to the technique, recent studies indicate that most users leave or have difficulties in sustaining the process (i.e. maintaining the updated roadmaps). This paper aims to present a framework for continuous roadmap updating that incorporates principles from agile management fields.

The framework was developed through action research in a manufacturing firm in the construction industry.

The results demonstrate a positive impact on the degree of continuous information monitoring, roadmap credibility and use of the roadmap during innovation strategy decisions.

The key contribution of this framework is the demonstration of a new strategy for carrying out the maps in which information is internalized by the organization itself, using agile teams, without commissioned specialists and as part of the work standards.

Project managers face decisions every day and those decisions result in an “either or” situation. This is also true when it comes to the choice of a project management approach, i.e. predictive versus iterative. A case is made in this article that project managers should be ambidextrous and apply practices that are beneficial to the project, irrespective of the origin of the practices.

This study is based on a questionnaire focussing on six themes. The results of 290 projects were analysed using ANOVA and boxplots to test for skewness and variances.

Based on the analysis of 117 practices, most of these projects could be classified as either hybrid or iterative projects. The results indicate that irrespective of the classification of the projects or the industry, projects are managed using a hybrid approach, with a tendency to incorporate more iterative practices than predictive practices.

This article contributes to the current debate on which approach is the best given certain circumstances.

Digitalising cities requires new urban governance processes that account for rapidly changing environments and technological advances. In this context, agile development methods have become valuable, if not necessary. However, agile development contradicts public administration practices of risk aversion and long-term planning. The purpose of this study is to discuss practical avenues for navigating these two contradictions by adapting agile development to the needs of public sector organisations.

The authors review the collaborative elaboration of Dresden’s smart city strategy as a critical case study. Dresden’s smart city strategy was developed using agile development and quadruple-helix innovation. The year-long co-creation process involved stakeholders from various groups to conceive an integrated and sustainable vision for digitalisation-based urban development.

Despite the apparent contradictions, this study finds that key aspects of agile development are feasible for public sector innovation. Firstly, risks can be strategically managed and distributed among administration and non-administration stakeholders. Secondly, while delivering value through short iterative loops, adherence to formal processes remains possible. Informal feedback cycles can be harmoniously combined with official statements, allowing iterative progress.

The empirical material is based on a single case study and thus risks overemphasising the general applicability of the proposed methods.

This paper outlines practical steps to greater agility for public administration engaged in digitalising cities. The paper conceptualises a forward and lateral momentum for the agile development of a smart city strategy that aims to reconcile formal policymaking processes with short-term loops and risk aversion with experimental value creation. This approach balanced risks, created value and enhanced the strategy‘s alignment with strategic frameworks, ultimately promoting innovation in the public sector.

This paper proposes a novel, empirically grounded conceptualisation of implementing agile methods that explicitly recognises the peculiarities of public administrations. It conceptualises the orchestrated and pragmatic use of specific agile development methods to advance the digitalisation of cities.

The purpose of this study is to explore how critical aspects can be defined in a learning study on welding without conducting any pre-tests.

In this study, the authors focus on empirical examples from a learning study on welding conducted in six iterative cycles, with conversation analysis and variation theory approach (CAVTA) as a theoretical basis. The welding lessons have been video-recorded, and in the study, the authors analyze examples where the teachers try to identify critical aspects of a vocational practical object of learning in interaction. CAVTA permeates the complete process, where the analysis has been part of the iterative cycles and further developed when the six cycles were completed.

The results show how critical aspects can be made visible in the interaction between teacher(s) and student(s) in the enacted learning situation. In the process, the authors work with the three concepts expected critical aspects, displayed critical aspects and targeted critical features in relation to a vocational practical object of learning where conducting a pre-test to define critical aspects is not educationally possible.

Teaching vocational practical objects of learning could be seen as something different from teaching other kinds of objects of learning and the use of the traditional pre-tests in learning studies may be problematic. From that follows, that other ways of finding the critical aspects for the students regarding a vocational practical object of learning might be needed. In this study, such a way is presented.

The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

This study aims to emphasize the integration of lean start-up and design thinking approaches and investigate how they may be used together.

The report uses a systematic literature review methodology to analyze and summarize previous research on combining lean start-up and design thinking. Inferences were discovered and analyzed after relevant publications were chosen based on predetermined inclusion criteria.

The research shows that combining lean start-up and design thinking significantly impacts entrepreneurship. Start-ups can efficiently uncover consumer needs, reduce risks and improve their product or service offerings by combining the client-centricity of design thinking with the iterative and data-driven concepts of lean start-up. This integration promotes an innovative culture, gives teams the freedom to try new things and learn from mistakes and raises the possibility of start-up success.

The dependence on pre-existing literature, which might cover only some potential uses and circumstances, is a weakness of this research. It is advised that more empirical research be conducted to determine the precise circumstances in which the integrated strategy performs best. Future studies should also explore the difficulties and drawbacks of using these approaches to offer suggestions for overcoming them and maximizing their advantages.

The findings have significant ramifications for business owners and other professionals working in the start-up environment. The combination of lean start-up and design thinking emphasizes the relevance of early customer interaction and empathy-driven design. To foster creativity and hasten the expansion of start-ups, practitioners are urged to create a comprehensive strategy that integrates the advantages of both techniques. Through this integration, business owners may develop solutions that appeal to their target market, increasing adoption rates and market competitiveness.

This study is interesting in comparing lean start-up and design thinking, emphasizing the overlaps and benefits of their application to entrepreneurship. This study discusses successful start-up methods by offering suggestions for future research and practice. It also provides a basis for further developing and adopting the integrated approach.

In accordance with Latour, this paper aims to respond to the call for a “down-to-earth” post-learning organization approach to sustainability, which is critical of Senge’s conception of learning organization (LO).

“Gaia storytelling” is used to define a LO that is “down-to-earth”.

Gaia is understood through the notion of a critical zone, which foregrounds the local and differentiated terrestrial conditions in which life on Earth is embedded.

Gaia storytelling implies perceiving LO as a network of storytelling practices enacted and told by unique creative citizens. Such an organization sustains and grows through several entangled storytelling cycles that allow Gaia to shape learning.

The article distinguishes five different storytelling cycles as a way to explore how the Gaia theater cycle connects to other cycles. The four other cycles are: Gaia thinking, explorative, creative and Gaia truth-telling.

A Gaian LO is a new beginning for LO.

The paper aims to examine how a professional development school-district (PDS-D) partnership, enacting an improvement science stance, collectively explored social-emotional learning (SEL) during collaboratively designed professional learning experiences.

This qualitative study, guided by an improvement science orientation, enacted an iterative research design. Data sources consisted of anecdotal field notes and artifacts from 12 professional learning sessions. Using a constant comparative method, the authors applied an inductive thematic analysis to identify salient themes across data related to teacher wonderings and identified goals.

The paper illuminates teachers' voices while highlighting information gleaned from participant wonderings, their identified goals and how this information informed the iterative development of future professional learning experiences within a district-university partnership.

Due to the chosen research approaches and limited number of participants, the research results may lack generalizability.

This paper provides original insight into collaborative development of recursive professional learning experiences within partnership spaces.

A critical attribute of open educational practices (OEP) is the pursuit of open scholarship which comprises the release of educational resources under an open licence scheme that permits no-cost access, use, reuse, adaptation, retention and redistribution to others. The degree of openness in relation to this attribute will depend on the context and culture of the place and the people in it. When left to chance, the adoption and practice of open scholarship by educators is at best sketchy. For optimum impact, a design-based approach is essential. A central focus of such an approach will need to target educators’ belief systems and practices about their scholarship. Any such work will involve researchers collaborating with practitioners in real-life settings to improve educational practices through iterative analysis, design, development and implementation. The purpose of this paper is to report on how the development and use of such a design-based approach, implemented by the Open University of Sri Lanka, impacted the adoption and uptake of open scholarship among teachers in the Sri Lankan school system in terms of changes in their use of instructional resources, pedagogical thinking and pedagogical practices.

The study adopted a design-based research (DBR) approach (Reeves, 2006), which involved researchers collaboratively working with practitioners in real-life settings to improve their educational practices along three aspects – instructional resource use, pedagogical perspectives and pedagogical practices. Based on the four stages of the DBR approach – analysis, solution, testing and refinement, and reflection, a professional development intervention programme was designed and implemented to support teachers on the integration of open educational resources (OER) and adoption of OEP in their teaching-learning process. Data collected throughout the process using multiple strategies such as questionnaire surveys, concept mapping, lesson plans, focus group interviews, self-reflections and “stories”, were analyzed using both qualitative and quantitative methods.

By the end of the intervention, significant changes were observed in teachers’ use of instructional resources, their pedagogical thinking and pedagogical practices. While resource usage has shifted from no or low usage of OER to reuse, revise, remix and creation of OER, the pedagogical thinking and practices of teachers moved from a content-centric and individualized patterns to more constructivist, context centric and collaborative ways. The diffusion of OEP was prominent along two dimensions – enhancements in the individual practices in innovative OER use as well as collaborative practices of sharing of resources, knowledge and good practices.

The systematic and flexible methodology adopted based on the DBR approach via a framework designed as a contextualized, process oriented and a self-reflective enquiry has been very useful to support changes in OEP among practitioners over time.

This iterative process allowed the researchers to function as “designers”, while investigating real-life issues in collaboration with the practitioners through reflective enquiry to further refine innovative practices towards OEP. This provides valuable insights for improved design solutions for future interventions in similar contexts.

Data-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology to aid the implementation of digital technologies and digitisation of the supply chain to enable data-driven quality management and the reduction of waste from manufacturing processes.

Methodologies from both the quality management and data science disciplines were implemented together to test their effectiveness in digitalising a manufacturing process to improve supply chain management performance. The hybrid digitisation approach to process improvement (HyDAPI) methodology was developed using findings from the industrial use case.

Upon assessment of the existing methodologies, Six Sigma and CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively. The case study revealed gaps in the implementation of both the Six Sigma and CRISP-DM methodologies in relation to digitisation of the manufacturing process.

Valuable practical learnings borne out of the implementation of these methodologies were used to develop the HyDAPI methodology. This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved supply chain management performance.

This study proposes the HyDAPI methodology that utilises key elements of the Six Sigma DMAIC and the CRISP-DM methodologies along with additions proposed by the author, to aid with the digitisation of manufacturing processes leading to data-driven quality management of operations within the supply chain.