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The study aimed to identify and define core components of Throughcare. The global prison population has reached its highest level to date (11.5 million), with comparative data on recidivism unavailable. Despite the global shift away from punitive and towards rehabilitative approaches, reintegration programming (Throughcare) is limited, ill-resourced or non-existent in many countries.

This study conducted a global e-Delphi consensus study of professionals working in prison and correctional services to define critical components of effective rehabilitation and reintegration programming. Consensus was defined a priori as 70% or more participants scoring an outcome from 7 to 9 and fewer than 15% scoring it 1 to 3.

Following a call for expression of interest circulated to the International Corrections and Prisons Association member list (n = 7282), 175 members agreed to partake in the e-Delphi rounds. In Round One, 130 individuals completed an online survey where 35 statements were scored by importance, each with opportunity to provide written feedback. A total of 33 statements exceeded the set threshold of consensus. Written feedback supported refinement and further development of statements in Round Two. A total of 108 individuals completed Round Two. A total of 39 out of the 40 statements exceeded the set threshold of consensus.

Consensus statements are useful to provide a shared understanding for inter-agency Throughcare partnerships, to inform national prison policies and to expand prison and support staff capacity building and programmes all over the world.

To the best of the authors’ knowledge, to date, this is the first known attempt to elicit consensus from a broad range of professionals working in the field of prison and correctional services on core components of effective rehabilitation and reintegration programming.

This study aims to analyze and synthesize the design features of existing digital transformation maturity models with a developed classification scheme and propose a generic maturity model development wireframe based on design science research.

A systematic literature review is conducted on digital transformation maturity models in peer-reviewed journals, including the Emerald Insight, Science Direct, Scopus, Taylor & Francis and Web of Science databases, which resulted in 21 studies. A concept-centric tabular approach is used to analyze the studies, and intersectional demonstrations are used to synthesize the findings regarding the design features.

The classification scheme derived from the tabular concept-centric approach and iteratively evolved results in three main and 25 subcategories related to the design features. Analysis and synthesis of the studies reveal the granularity of the existing digital transformation maturity models concerning the design features. Furthermore, considering the design features in the classification scheme, a generic maturity model development wireframe is proposed to guide the researchers.

The generic maturity model development wireframe and the classification scheme that represents the design features of existing maturity models guide the researchers for the maturity model development roadmap.

The existing literature review studies do not focus on the design feature of digital transformation maturity models within a systematic literature review perspective. A unique classification scheme derived from the tabular concept-centric approach aims to analyze the granularity level of the existing models. Furthermore, the generic maturity model development wireframe includes the guidelines and recommendations of design science studies and presents a roadmap for maturity model researchers.

The purpose of this study is to determine the competency characteristics required for the employment of master’s degree students in educational technology.

A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were extracted from Chinese recruitment apps, national recruitment websites and university training programs. Ten senior teacher experts who teach educational technology master’s students were consulted through a questionnaire consultation to validate the proposed competency model. The weights of competency characteristics were determined through a combination of the analytic hierarchy process and entropy method.

The results show that when recruiting educational technology master’s students, more emphasis is placed on operational skills. The majority of companies tend to assess practical abilities rather than theoretical knowledge. Relevant knowledge of educational technology, psychology, computer science and education is considered to be the basic knowledge components of educational technology master’s students, while professional skills are the core skills required for their positions. Therefore, universities need to focus on training, educational technology graduate students in these areas of competence. The study also found that professional qualities (such as physical and mental fitness) and personality traits (interpersonal communication and interaction) receive more attention from companies and are essential competencies for educational technology master’s students.

A competence model for educational technology master’s students is proposed, which includes aspects such as knowledge, personal skills/abilities, professional qualities and personality traits. The competence elements included in this model can serve as reference indicators for universities to cultivate the competence of educational technology master’s students, as well as reference points for recruiting units to help them select talents. This represents a new dimension in research related to the employment of educational technology master’s students. The study enriches the research objects and competence dictionary in the field of competence research.

Due to rapid digitalization, the emergence of the “phygital” environment, which blends physical and digital experiences, creates unique challenges for researchers. This paper aims to introduce an interpretivist methodological framework designed to understand consumer behavior in phygital environments. The framework enables an in-depth exploration of the contextual factors, subjective experiences, personal emotions and social networks that influence consumer behavior in this space.

The framework was developed after a thorough literature review of the phygital environment and interpretivist research landscape. Consistent with the phygital transformation theory, this approach allows researchers to go beyond the limitations of purely quantitative methods, gaining a deeper understanding of consumer behavior in phygital environments. The framework is organized into four meticulously designed pillars, each focusing on specific aspects of research and using distinct data collection and analysis approaches.

The systematic framework facilitates exploration of various dimensions of consumer experiences in phygital settings through qualitative research techniques. Uncovering the richness of contextual factors, subjective meanings, consumer experiences and social interactions within the phygital environment yields meaningful insights into consumer decision-making and preferences. These insights help marketers craft better phygital marketing strategies.

This interpretivist framework presents a unique approach for researchers hoping to investigate consumer behavior in phygital environments. It offers deep insights and understanding of this largely unexplored space, contributing to the evolving body of knowledge in phygital studies.

This systematic literature review presents the state of the field of fashion and crisis communication. The quantitative coding offers insight into dominant and emergent themes in one of the most crisis-prone industries. This review also offers a framework for future research.

This study uses a systematic literature review approach. 205 academic articles were gathered in total using the search term “fashion industry crisis”. Subsequently, they were quantitatively coded using the Diers-Lawson (2016) Crisis Communication Code Book.

Findings show an increase in the fashion industry crisis with clear emergent themes such as sustainability, emphasising the truly global and multidisciplinary nature of the industry. Findings also reveal a genuine lack of theoretical grounding, with over 80% of the articles coded using no crisis communication theory. The findings also suggest value co-creation ought to be a priority for this agenda moving forward, as it overlaps with emerging themes and is a practical tool and concept to support crisis prevention and management through an extension of the Stakeholder Relationship Model (SRM) Model.

As a largely under-researched area in crisis communication, the findings present a new opportunity to explore fashion within its context and contribute. At this point, the research field is lacking, and there is room for theory testing and hypothesis building. The findings and themes from the research present a development of the original SRM model, SRM Val-Co.

As well as research implications, the proposed framework provides practical solutions for the future of the fashion industry.

As a largely under-researched area in crisis communication, the findings demonstrate a new opportunity to explore fashion within its context and contribute because there is a dearth of research and a lack of theoretical development. Therefore, the proposed framework provides practical solutions for the fashion industry’s future. The findings and themes from the research present a development of the original SRM model, SRM Val-Co.

Autistic individuals are at increased risk of trauma exposure and post-traumatic stress disorder (PTSD). Diagnostic overshadowing, however, often results in PTSD symptoms being mislabelled as autistic traits. This study aims to develop professional consensus on the identification and assessment of co-occurring PTSD in autistic adults.

An online modified Delphi design was used to gather professionals’ perspectives on key aspects of the identification and assessment of PTSD in autistic adults. Data were gathered qualitatively in Round 1 and then synthesised using content analysis into a list of statements that were rated in Round 2. Statements reaching 60–79% consensus and additional suggestions were sent out for rating in Round 3. Consensus for the final statement list was set at 80% agreement.

Overall, 108 statements reached consensus. These form the basis of professional-informed recommendations to facilitate the identification and assessment of PTSD symptoms in autistic adults.

The final Delphi statements provide a framework to assist with the assessment and recognition of traumatic stress reactions in autistic adults presenting to mental health, diagnostic or social services.

To the best of the authors’ knowledge, this is the first study to explore the presentation and identification of PTSD in autistic adults (with and without intellectual disability), using a bottom-up approach informed by professional consensus.