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The purpose of this paper is to develop a software-library in the R programming language that implements the concepts of the interpretive coordinate, interpretive axis and interpretive plane. This allows for the automatic and reliable interpretation of results from the multiple correspondence analysis (MCA) as previously proposed and published. Consequently, the users can seamlessly apply these concepts to their data, both via R commands and a corresponding graphical interface.

Within the context of this study, and through extensive literature review, the advantages of developing software using the Shiny library were examined. This library allows for the development of full-stack applications for R users without the need for knowledge of the corresponding technologies required for the development of complex applications. Additionally, the structural components of a Shiny application were presented, leading ultimately to the proposed software application.

Software utilizing the Shiny library enables nonexpert developers to rapidly develop specialized applications, either to present or to assist in the understanding of objects or concepts that are scientifically intriguing and complex. Specifically, with this proposed application, the users can promptly and effectively apply the scientific concepts addressed in this study to their data. Additionally, they can dynamically generate charts and reports that are readily available for download and sharing.

The proposed package is an implementation of the fundamental concepts of the exploratory MCA method. In the next step, discoveries from the geometric data analysis will be added as features to provide more comprehensive information to the users.

The practical implications of this work include the dissemination of the method’s use to a broader audience. Additionally, the decision to implement it with open-source code will result in the integration of the package’s functions by other third-party user packages.

The proposed software introduces the initial implementation of concepts such as interpretive coordination, the interpretive axis and the interpretive plane. This package aims to broaden and simplify the application of these concepts to benefit stakeholders in scientific research. The software can be accessed for free in a code repository, the link to which is provided in the full text of the study.

This study aims to investigate the adoption of the United Nations’ Sustainable Development Goals (SDGs) as the new performance perspective in cities. It also aims to understand how accounting for SDGs begins in city administrations by following Power’s (2015) fourfold development schema composed of policy object formation, object elaboration, activity orchestration and practice stabilization.

Focusing on a network of cities coordinated by the Finnish local government association, we analyzed the six largest cities in Finland employing a holistic multiple case study strategy. Our data consisted of Voluntary Local Reviews (VLRs), city strategies, budget plans, financial statements, as well as results of participant observations and semi-structured interviews with key individuals involved in accounting for SDGs.

We unveiled the SDG framework as an interpretive scheme through which cities glocalized sustainable development as a novel, simultaneously global and local, performance object. Integration of the new accounts in city management is necessary for these accounts to take life in steering the actions. By creating meaningful alignment and the ability to impact managerial practices, SDGs and VLRs have the potential to influence local actions. Our results indicate further institutionalization progress of sustainability as a performance object through SDG-focused work.

While prior research has focused mainly on general factors influencing the integration of the sustainability agenda, this study provides a novel perspective by capturing the process and demonstrating empirically how new accounts on SDGs are introduced and deployed in the strategic planning and management of local governments.

The purpose of this study is to investigate the effect of using mobile devices as an instructional tool on teachers' creativity and to promote their usage as instructional tools in educational settings. The research also studies the perceptions of teachers on the effect of using mobile devices as an instructional tool on their creativity and what features of mobile devices are believed to help in terms of enhancing their creativity.

This qualitative inquiry used an interpretive phenomenological analysis (IPA) method for inspecting the professional capabilities of Pakistan's primary and secondary school teachers. Data were gathered from nine individuals through interviews. Three themes regarding creativity emerged from the study data.

It is found that the use of mobile devices as a teaching tool significantly increases teachers' creativity by enabling them to manifest their creativity and explore different pedagogical vistas in which they can use a wide variety of instructional resources and tools. Using mobile devices as a teaching tool improved three skills: motivation, self-confidence and communication skills. Mobile applications, cameras and portability of these devices are among the features that teachers considered to have encouraged their creativity.

Finding the obstacles and difficulties teachers have while utilizing these tools to demonstrate their creativity may be valuable for future studies. First, because respondents were teachers from elementary and secondary classes, the population was not entirely homogenous, even though they had adequate help. Second, only semi-structured interviews were utilized for data gathering in this study. Further data collection methods, including observational research or participant-written reflective diaries, are thought to have been preferred.

For future research, it may be interesting to determine whether the results of this study can be applied to other demographic groups. Based on this study, it is also recommended to conduct a quantitative study to know teachers' perceptions of the impact of these devices on creativity, since these studies can have promising results for teachers.

Through the use of various materials, tools and activities, these devices provide several distinctive teaching alternatives. Because of this, using it as a teaching tool gives teachers the ability to tailor courses to a range of learner types. Additionally, having easy access to a multitude of online resources and the capacity to interact with others helped in ideation. The teachers experienced feelings of motivation, self-confidence and a desire to impart information, all of which are traits of creative teachers. Based on the findings of this study, we may now think about using mobile devices in the classroom to encourage teachers' creativity.

The outcomes of this research indicated that teachers' creativity is strongly influenced by their use of mobile devices as instructional tools. This paper advances the understanding of teachers’ creativity by highlighting their lived experiences. This study is novel because it highlights how these devices have the potential to be used as instructional tools, which has not been highlighted by any study so far.

This paper aims to propose an interpretive framework to understand how machine learning (ML) affects the way companies interact with their ecosystem and how the introduction of digital technologies affects the value co-creation (VCC) process.

This study bases on configuration theory, which entails two main methodological phases. In the first phase the authors define the theoretically-derived interpretive framework through a literature review. In the second phase the authors adopt a case study methodology to inductively analyze the theoretically-derived domains and their relationships within a configuration.

ML enables multi-directional knowledge flows among value co-creators and expands the scope of VCC beyond the boundaries of the firm-client relationship. However, it determines a substantive imbalance in knowledge management power among the actors involved in VCC. ML positively impacts value co-creators’ performance but also requires significant organizational changes. To benefit from VCC via ML, value co-creators must be aligned in terms of digital maturity.

The paper answers the call for more theoretical and empirical research on the impact of the introduction of Industry 4.0 technology in companies and their ecosystem. It intends to improve the understanding of how ML technology affects the determinants and the process of VCC by providing both a static and dynamic analysis of the topic.

Institutional, economic, social and technological advancements enable openness to cope with wicked public management issues. Although open innovation (OI) is becoming a new normality for public sector entities, scholarly knowledge on this topic is not fully systematized. The article fills this gap, providing a thick and integrative account of OI to inspire public management decisions.

Following the SPAR-4-SLR protocol, a domain-based literature review has been accomplished. Consistently with the study purpose, a hybrid methodology has been designed. Bibliographic coupling permitted us to discover the research streams populating the scientific debate. The core arguments addressed within and across the streams were reported through an interpretive approach.

Starting from an intellectual core of 94 contributions, 5 research streams were spotted. OI in the public sector unfolds through an evolutionary path. Public sector entities conventionally acted as “senior partners” of privately-owned companies, providing funding (yellow cluster) and data (purple cluster) to nurture OI. An advanced perspective envisages OI as a public management model purposefully enacted by public sector entities to co-create value with relevant stakeholders (red cluster). Fitting architectures (green cluster) and mechanisms (blue cluster) should be arranged to release the potential of OI in the public sector.

The role of public sector entities in enacting OI should be revised embracing a value co-creation perspective. Tailored organizational interventions and management decisions are required to make OI a reliable and dependable public value generation model.

The article originally systematizes the scholarly knowledge about OI, presenting it as a new normality for public value generation.

Healthcare providers are under pressure due to increasing and more complex demands for services. Increased pressure on budgets and human resources adds to an ever-growing problem set. Competent leaders are in demand to ensure effective and well-performing healthcare organisations that deliver balanced results and high-quality services. Researchers have made significant efforts to identify and define determining competencies for healthcare leadership. Broad terms such as competence are, however, inherently at risk of becoming too generic to add analytical value. The purpose of this study is to suggest a holistic framework for understanding healthcare leadership competence, that can be crucial for operationalising important healthcare leadership competencies for researchers, decision-makers as well as practitioners.

In the present study, a critical interpretive synthesis (CIS) was conducted to analyse competency descriptions for healthcare leaders. The descriptions were retrieved from peer reviewed empirical studies published between 2010 and 2022 that aimed to identify healthcare services leadership competencies. Grounded theory was utilised to code the data and inductively develop new categories of healthcare leadership competencies. The categorisation was then analysed to suggest a holistic framework for healthcare leadership competence.

Forty-one papers were included in the review. Coding and analysing the competence descriptions resulted in 12 healthcare leadership competence categories: (1) character, (2) interpersonal relations, (3) leadership, (4) professionalism, (5) soft HRM, (6) management, (7) organisational knowledge, (8) technology, (9) knowledge of the healthcare environment, (10) change and innovation, (11) knowledge transformation and (12) boundary spanning. Based on this result, a holistic framework for understanding and analysing healthcare services leadership competencies was suggested. This framework suggests that the 12 categories of healthcare leadership competencies include a range of knowledge, skills and abilities that can be understood across the dimension personal – and technical, and organisational internal and – external competencies.

This literature review was conducted with the results of searching only two electronic databases. Because of this, there is a chance that there exist empirical studies that could have added to the development of the competence categories or could have contradicted some of the descriptions used in this analysis that were assessed as quite harmonised. A CIS also opens for a broader search, including the grey literature, books, policy documents and so on, but this study was limited to peer-reviewed empirical studies. This limitation could also have affected the result, as complex phenomenon such as competence might have been disclosed in greater details in, for example, books.

The holistic framework for healthcare leadership competences offers a common understanding of a “fuzzy” concept such as competence and can be used to identify specific competency needs in healthcare organisations, to develop strategic competency plans and educational programmes for healthcare leaders.

This study reveals a lack of consensus regarding the use and understanding of the concept of competence, and that key competencies addressed in the included papers are described vastly different in terms of what knowledge, skills and abilities they entail. This challenges the operationalisation of healthcare services leadership competencies. The proposed framework for healthcare services leadership competencies offers a common understanding of work-related competencies and a possibility to analyse key leadership competencies based on a holistic framework.

Transitional entrepreneurship in distressed economies is a fairly new concept with respect to new ventures in such challenging economic environments. Formal institutional voids are sometimes held up as a reason for the difficulties present in distressed economies, along with exogenous shocks and other upheavals. In this research, the authors seek to contribute empirically and theoretically as to ways in which formal institutions voids can be filled by a culture developed by transitional entrepreneurs. Indeed, in transition economies, formal institutions need to be enhanced by informal institutions to control corruption and other misbehavior by authorities. Iranian economists emphasize these essential reforms to be able to manage current difficulties, yet top down policies cannot help transitional entrepreneurs benefit from the country’s value-adding cultural heritage to informally address this. To study this, qualitative research methods were used to interpret transitional entrepreneurs’ ideology and ethical routines as the ingredients of a commercial culture that can establish soft law that substitutes for formal institutions. This helps to reduce the disfunctionality of formal institutions in distressed economies.

A thematic analysis interviewing key Iranian entrepreneurs and economists is conducted. Also based on an interpretive paradigm, a hermeneutic cycle has been carried out on selected texts. Results have been verified throughout related literature as to come up with a solid synthesized interpreted outcome.

This paper contributes to theory from a new perspective by discussing transitional entrepreneurship and navigating a distressed economy; in which, ideology and ethics as the ingredients of soft law (Newman and Posner, 2018) are discussed as the base to further develop a commercial culture that fills voids of formal institutions. The formal–informal institutional cycle in distressed economies as the major difficulty entrepreneurs face (Peng and Luo, 2000) is important, because they try to increasingly enhance their move toward a market orientation (Bruton et al., 2008). The authors contribute as to how transitional entrepreneurs can complete this process of adaptation and also the fact that those informal institutions do actually respond to those adaptations. The other contribution is to enrich theories about institutions from the point of view of culture. Knowing these facts helps transitional entrepreneurs, because in distressed communities, formal institutions’ function has an important effect on economic performance (Amorós, 2009). This research’s contributions shed light to help government leaders understand the pros and cons of their actions forced on the industry. As it has been characterized in this research, it can turn in to new formal set of legitimacies (Ahlstrom et al., 2008) to root out corruption and help set the economy on a path to innovation and new venture creation.

Transitional entrepreneurs can depend on the less formal cultural-cognitive aspect of ethics and ideology. These entrepreneurs can be working on the burgeoning private sector, who want to connect with the outside effectively to overcome an economy in distress. Transitional entrepreneurs may face governmental institutional intermediaries as a barrier. Formal intermediaries tend to benefit from inefficiencies caused by hierarchal orders and will improve informality in order to overcome difficulties. In this research, institutional theory from the third pillar of the cultural-cognitive sheds light on transitional entrepreneurship in distressed economies, where inquiry is to fill voids of formal institutions as a process of possible linking between new generated soft law derived by beliefs, ideology and professional morality in order to influence (old) legitimacies. The research’s focus evolves on values transitional entrepreneurs utilize to build informal institutions and then impact further on formal institutions to handle distressed communities. This theoretical background expands on subsections to define conceptual building blocks for the study, essential aspects such as individuals as transitional entrepreneurs, the values they utilize to generate soft law, informal institutions and soft law, to manage voids in formal institutions and legitimacy building aspects in policy agenda setting for transitional entrepreneurship in distressed economies.

The apparel industry of Bangladesh is rethinking lean manufacturing (LM) deployment because of the challenges imposed by the COVID-19 pandemic. Due to COVID-19, LM implementation in the apparel industry has become more difficult. Thus, the purpose of this study is to explore the barriers to implementing LM practices in the apparel industry of Bangladesh in the context of COVID-19 pandemic.

For evaluating the barriers, an integrated framework that combines the Delphi method and fuzzy total interpretive structural modeling (TISM) has been designed. The application of fuzzy TISM has resulted in a structured hierarchical relationship model of the barriers with driving and driven power.

The findings reveal that “lack of synchronization of lean planning with strategic planning”, “lack of proper understanding of lean concept” and “low priority from the top management” are the three top most important barriers of LM implementation in apparel industry.

These findings will help the apparel industry to formulate strategy for implementing the LM practices successfully. The proposed model is expected to contribute to the sustainable development goals (SDGs) such as Responsible Consumption and Production (SDG 12); Decent Work and Economic Growth (SDG 8); Industry, Innovation and Infrastructure (SDG 9) via resilient strategies.

This study is one of few initial efforts to investigate LM implementation barriers during the COVID-19 epidemic in a real-world setting.

This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.

This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.

Six clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.

This study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.

Background: Compliance of patients with self-care practices is the mainstay of measures to manage diabetes. This study explored self-care practices of type 2 diabetes patients receiving insulin treatment in North-East Ethiopia.

Methods: The study employed an interpretive phenomenological approach using purposive sampling. The data were collected from 24 (11 males and 13 females) participants (July 2019 to January 2020) using in-depth interviews till theoretical saturation. The data were analyzed thematically and organized using QDA Miner Lite v2.0.8.

Results: The findings were categorized into: labeling diabetes, self-care maintenance experiences, recognition of symptoms, and mitigating mechanisms. The self-care maintenance practice of patients was linked with diet input preferences and the effectiveness level of insulin. What guides the self-care behavior was the patients’ preferentiality of strictly adhering to their preferred dietary inputs. Barley and wheat were the most common preferential and non-preferential inputs, respectively. The patients strictly adhered to insulin treatment because they found it effective. The most common hyperglycemia symptoms to be managed by taking an additional dose of insulin, were frequent urination, increased thirst, and their consequence (dehydration). Excessive sweating (initial), shivering (middle), and falling (final), respectively in severity, were the most common symptoms of hypoglycemia which were perceived to be treated with sweet snacks.

Originality: To our knowledge, this is the first research in Ethiopia to investigate the self-care experiences of type 2 diabetes patients receiving insulin using an interpretive phenomenological approach.