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Flipped classroom approaches (FCA) are an educational innovation that could increase students' learning outcomes in, and their enjoyment of, mathematics or STEM education. To integrate FCA into education sustainably, professional teacher development (PTD) is a promising tool. The research aim is to explore which aspects should be considered when developing and implementing professional mathematics or STEM teacher development for flipped approaches.

A total of 20 expert interviews were conducted and analysed according to a synthesis of grounded theory approaches and qualitative interview study principles.

Evaluating the interview data indicates that the characteristics of different teacher types in PTD, learning activities in PTD and the DSE model derived in this study could be vital elements in professional mathematics or STEM teacher development for flipped approaches.

Evaluating the interview data indicates that the characteristics of different teacher types in PTD, learning activities in PTD and the DSE model derived in this study could be vital elements in professional mathematics or STEM teacher development for flipped approaches.

Shipping courses contain much technical and specialist knowledge and present particular challenges for English medium instruction (EMI). This paper aims to investigate both student perceptions of the importance and satisfaction level of EMI in shipping courses in higher education in Taiwan and the perceptions of expert stakeholders through qualitative interviews.

Importance-performance analysis (IPA) is used to gather data on participants’ perceptions of what is (un)important and (un)satisfactory. Based on past studies, four dimensions with 20 items were developed and 121 effective questionnaires were collected. Further, qualitative interviews with expert stakeholders (n = 9) are undertaken to gather data to contextualize and complement the quantitative student data.

Findings show students attributed high importance but low satisfaction to items such as course learning objectives and students’ English level, and low importance and high satisfaction to items such as electronic teaching platform and relevance of subject to practice. Factor analysis and cluster analysis were used to divide samples into three groups. Qualitative interview results confirm many of the quantitative findings but also show where some quantitative findings require more attention or investment when delivering EMI programmes.

Questionnaire samples focus on university students. Other related field samples (e.g. EMI teachers, shipping teachers, English teachers, etc.) could be surveyed and compared in future studies. Qualitative interviews could also be expanded to other stakeholders such as government policymakers.

The findings of IPA in the shipping courses and the qualitative interviews can be used for both teaching design and implementation in related courses by university lecturers and other stakeholders (e.g. policy and decision-makers). Such approaches can enhance students’ learning motivation and teaching performance.

This paper provides important guidance and diagnosis for how to introduce English teaching in shipping courses. Related courses can be further applied in higher education to popularize and promote EMI teaching in shipping and related fields.

EMI has seldom been studied in the context of shipping courses in the past. This paper adopts IPA method and qualitative interviews to complement previous studies and address gaps in recent research. It is expected that the research findings could be adapted and applied in other fields.

Product returns information gives firms an opportunity for continuous strategic adaptation by allowing them to understand the reasons for product returns, learning from them and improving their products and processes accordingly. By applying the Dynamic Capabilities (DCs) view in the context of closed-loop supply chains (CLSC), this study explores how firms can continuously learn from product returns information.

This study adopts a qualitative Delphi study-inspired approach. Experts from industry and academia are interviewed in two interview rounds. First round of interviews are based on extant research, while the second round allows the experts to elaborate and correct the results.

This study culminates into a conceptual model for incremental learning from product returns information. The results indicate incremental learning from product returns can potentially lead to a competitive advantage. Additionally, the authors identify the sources of information, capabilities along with their microfoundations and the manifestations of product return information. Three propositions are formulated embedding the findings in DC theory.

This study supports extant literature in confirming the value of product returns information and opens concrete avenues for research by providing several propositions.

This research elucidates the practices, processes and resources required for firms to utilize product returns information for continuous strategic adaptation. Practitioners can use these results while implementing continuous learning practices in their organizations.

This study presents the first systematic framework for incremental learning from product returns information. The authors apply the DC framework to a new functional domain, namely CLSC management and product returns management. Furthermore, the authors offer a concrete example of how organizational learning and DC intersect, thus advancing DC theoretical knowledge.

The purpose of this paper is to investigate and theoretically explain how line managers and lower-status experts work together in public health-care organizations. Hence, this study explores how lower-status experts influence line managers' decision-making and task prioritizing in order to guide staff experts' cooperation and performance improvements.

The authors used a qualitative method for data collection and analysis of the experts' and line managers' explanations about their cooperation. A theoretical approach of experts' identity positioning, in terms of differences and similarities, was used in analyzing the interaction between managers and experts.

This study shows that similarities and differences in positioning acts exist simultaneously. Similarity is constructed by way of strategic and professional alignment with the line managers' core tasks. Differences stem from the distinction between knowledge-grounded skills and professional attributes such as language, analytical tools, and jargon. Lower-status experts need to leave their entrenched positions and match the professional status of line managers in both knowledge aspirations and appearance to reach a respected approach of experts' identity positioning.

Unlike many previous studies, this study demonstrates that similarities and differences in positioning acts exist simultaneously.

This paper aims to identify the importance of individual variables in the corporate real estate (CRE) decision-making process.

Nine experts received a posed scenario of a changed business strategy requiring a CRE reduction in individual interviews. Based on their suggested response, a decision network was modelled for each expert using the causal network elicitation technique, incorporating the utilities for decision variables and importance weights for attributes and benefits. The decision model offers a graphical representation of decision-benefit links for the decisions CRE managers make in such a period of decline.

Perceived facilitators of CRE dynamic alignment were identified by calculating lift ratios on their perceived importance of the attributes they mentioned during the interviews as nodes in the network that link decisions to benefits. Facilitators included CRE metrics and workplace strategy, while capital expenditure and landlords inhibit alignment processes. The research provides more granular insight into the variables used in CRE decision-making and the factors that facilitate or inhibit the dynamic alignment process.

The research set a specific scenario for the experts to consider. That could be regarded as small but there was clear evidence of saturation of expert knowledge. Additional face-to-face interviews with the experts may have generated further details on the thought processes of the experts.

The research provides more granular insight into the variables used in CRE decision-making and the factors that facilitate or inhibit the dynamic alignment process. Thereby providing CRE decision-makers with key elements for a decision model.

The research technique, causal network elicitation technique, uses semi-structured interviews to create decision networks, which is a technique that has not been widely applied to CRE research. The research provides a granular view of what are important inhibitors or facilitators of dynamic alignment of CRE to business strategy.

The open science movement calls for transparent and retraceable research processes. While infrastructures to support these practices in qualitative research are lacking, the design needs to consider different approaches and workflows. The paper bases on the definition of ontologies as shared conceptualizations of knowledge (Borst, 1999). The authors argue that participatory design is a good way to create these shared conceptualizations by giving domain experts and future users a voice in the design process via interviews, workshops and observations.

This paper presents a novel approach for creating ontologies in the field of open science using participatory design. As a case study the creation of an ontology for qualitative coding schemas is presented. Coding schemas are an important result of qualitative research, and reuse can yield great potential for open science making qualitative research more transparent, enhance sharing of coding schemas and teaching of qualitative methods. The participatory design process consisted of three parts: a requirement analysis using interviews and an observation, a design phase accompanied by interviews and an evaluation phase based on user tests as well as interviews.

The research showed several positive outcomes due to participatory design: higher commitment of users, mutual learning, high quality feedback and better quality of the ontology. However, there are two obstacles in this approach: First, contradictive answers by the interviewees, which needs to be balanced; second, this approach takes more time due to interview planning and analysis.

The implication of the paper is in the long run to decentralize the design of open science infrastructures and to involve parties affected on several levels.

In ontology design, several methods exist by using user-centered design or participatory design doing workshops. In this paper, the authors outline the potentials for participatory design using mainly interviews in creating an ontology for open science. The authors focus on close contact to researchers in order to build the ontology upon the expert's knowledge.

The coronavirus disease 2019 (COVID-19) pandemic has led to a global digitalization of organizational activities: the pandemic forced people and organizations to profoundly review values, purposes and norms. However, the research on how digital technologies impact human relationships and interactions at work results fragmented. Still, the importance of understanding which behaviors and norms enhance social interactions and organizational performances in digital environments remains critical, especially after COVID-19 advent. Therefore, this study explores how human relationships change in a wholly digital environment and what to expect for the new normal.

The study first explores the research gap through a systematic literature review to clearly understand what emerged so far. Second, through semi-structured interviews and a focus group, an empirical analysis was conducted.

Findings suggest that both work and emotional dimensions are crucial to nurturing human relationships in a digital environment. More precisely, the study unveils the need for innovative leaders to review their approaches to communication and the work experience and consider the emotional dimension in terms of community purpose and individual well-being, while identifying rituals as an overlapping tool. Finally, the authors propose a parallelism between these results and the agile revolution to inspire leaders to rethink their leadership and behaviors getting closer to the agile approach, which may represent a valuable way to rethink human relations in our professional environment.

The paper sheds light on an ongoing phenomenon that touches the lives of each organizational actor. The two-step structure hopes to provide both a structured base of the knowledge developed to date, proposing a systematic view of what has been studied since the outbreak of the pandemic to date and to provide insights for future developments.

The purpose of this study is to investigate the influence of digital transformation on the intersection of marketing and sales departments.

This area has received little attention in academic literature while considerable amount of research exists surrounding the marketing and sales integration, the influence of the trend of digital transformation on both departments and how it affects their collaboration is not investigated in-depth and is therefore studied by qualitative research via semi-structured interviews in six German organizations.

By considering the findings the collaboration between the marketing and sales departments in German organizations is perceived as good. However, generation-related conflicts occur due to different demographic structures of employees. The study provides evidence that the digital transformation affects the marketing and sales integration and thus, the overall organizational performance.

Moreover, it is crucial that organizations face the challenges that occur in terms of interdepartmental relationships and be aware of the huge potentials which arise due to digital transformation to improve the marketing and sales collaboration.

Quantifying the performance level of surgeons with digital virtual reality (VR) simulators can help ensure that quality requirements in healthcare are met. In order to better understand integration amongst quality principles, practices and technologies in the adoption and diffusion of VR simulators, the authors applied a technological innovation system (TIS) framework. The purpose of this study is to understand how the adoption and diffusion of VR surgical simulators in a Swedish healthcare context is influenced by various system factors.

In this study, single-case holistic design based on innovation system theory was used to analyse the adoption of digital quality technologies related to surgical performance in Swedish hospitals. The case employs a mixed methods approach triangulating data longitudinally from published documents and expert interviews.

Adoption of digital technologies regarding surgical performance is restricted by system factors relating to inconsistent normative and regulatory requirements for quantified performance criteria to judge surgical expertise. Addressing these systems' weaknesses with evidence-based training programmes can have a significant impact on the further development of the innovation system and can ultimately affect healthcare reliability and quality.

This paper explores quality management (QM) challenges in the context of digital transformation in healthcare. The paper attempts to fill the gap for TIS studies in a healthcare context and highlight the role of innovation function strength along the value chain and in relation to technology cycles to increase the understanding of adoption of digital technologies relating to surgical performance.

Although the industrial application of drones is increasing quickly, there is a scarcity of applications in manufacturing. The purpose of this paper is to explore current and potential applications of drones in manufacturing, examine the opportunities and challenges involved and propose a research agenda.

The paper reports the result of an extensive qualitative investigation into an emerging phenomenon. The authors build on the literature on advanced manufacturing technologies. Data collected through in-depth interviews with 66 drone experts from 56 drone vendors and related services are analyzed using an inductive research design.

Drones represent a promising AMT that is expected to be used in several applications in manufacturing in the next few years. This paper proposes a typology of drone applications in manufacturing, explains opportunities and challenges involved and develops a research agenda. The typology categorizes four types of applications based on the drones’ capabilities to “see,” “sense,” “move” and “transform.”

The proposed research agenda offers a guide for future research on drones in manufacturing. There are many research opportunities in the domains of industrial engineering, technology development and behavioral operations.

Guidance on current and promising potentials of drones in manufacturing is provided to practitioners. Particularly interesting applications are those that help manufacturers “see” and “sense” data in their factories. Applications that “move” or “transform” objects are scarcer, and they make sense only in special cases in very large manufacturing facilities.

The application of drones in manufacturing is in its infancy, but is foreseen to grow rapidly over the next decade. This paper presents the first academically rigorous analysis of potential applications of drones in manufacturing. An original and theory-informed typology for drone applications is a timely contribution to the nascent literature. The research agenda presented assists the establishment of a new stream of literature on drones in manufacturing.