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The purpose of this paper is to focus on a partnership-based mentoring model and the learning experiences of participant mentees and mentors. As part of the project, newly qualified teachers (NQTs) were supported to develop and implement a practitioner enquiry (teacher/action research) in a learning community involving two local authorities and an initial teacher education institution.

Qualitative data were collected from five semi-structured focus group interviews with key participant groupings to uncover perceptions and experiences of the partnership and professional learning therein. Analysis using an inductive and iterative approach pinpointed a number of emerging themes used to frame key elements of the findings.

Findings suggested that the partnership-based model promoted the professional learning and development of NQTs and their mentors in various ways. The nature and shape of the partnership had an influence on the quality of mentoring and support experienced. The community effectively supported the implementation of meaningful enquiry projects, which had clear connections to the enhancement of professional practice and pupil learning. However, specific tensions and conflicts emerged as hindrances to successful partnership-based mentoring in the specific context.

New insights into the role of a partnership-based mentoring scheme supporting practitioner enquiry-based learning of NQTs emerged. The local, layered community defining the partnership, and operating within the frame of a national induction scheme, was analysed. Benefits for partners were identified and specific challenges and tensions highlighted, both providing new evidence with potential to impact policy and practice. Policy developments supporting teachers to be mentors and enquiring professionals need to recognise the structural and support tensions that exist in contextual practice.

The purpose of this paper is to explore how the induction of new teachers might be regarded as a form of apprenticeship in which informal support (on‐the‐job learning) plays an important role alongside formal continuing professional learning (off‐the‐job learning). The sample teachers are part of the Teacher Induction Scheme in Scotland, which provides a reduced teaching workload during the induction year, so that new teachers have time to develop their practice through continuing professional learning and development activities.

A sequential mixed methods study was undertaken, with two online questionnaires sent to 167 new teachers and two sets of semi‐structured interviews with ten new teachers.

The findings highlight the importance of a reduction in teaching hours and the significance of informal learning for new teachers. Furthermore, while an induction scheme framework with reduced workload is important, new teachers need supportive colleagues to learn from and with during their first year of teaching.

This study only involved new teachers who had completed their initial teacher education at one Scottish university. Policy makers and school leaders could do more to recognise, value and encourage informal work‐based learning and collegiate support for new teachers.

The paper provides a deeper understanding of the nature of informal learning, often characteristic of the apprenticeship model, in the context of a formal induction scheme. It highlights that more than a formal induction scheme on its own is needed to support teachers in their transition from student teacher to qualified teacher. The paper draws attention to the need for policy makers, local authorities and schools to be more supportive and responsive to the learning and development needs of new teachers when implementing an induction scheme for new entrants.

Food fraud as intentional deception for economic gain relies on a low-tech food value chain, that applies a ‘paper-and-pencil approach’, unable to provide reliable and trusted data about food products, accompanied processes/activities and actors involved. Such approach has created the information asymmetry that leads to erosion of stakeholders and consumers trust, which in turn discourages cooperation within the food chain by damaging its ability to decrease uncertainty and capability to provide authentic, nutritional, accessible and affordable food for all. Lack of holistic approach, focus on stand-alone measures, lack of proactive measures and undermined role of customers have been major factors behind weaknesses of current anti-fraud measures system. Thus, the process of strong and fast digitalisation enabled by the new emerging technology called Industry 4.0 is a way to provide a shift from food fraud detection to efficient prevention. Therefore, the objective of this chapter is to shed light on current challenges and opportunities associated with Industry 4.0 technology enablers' guardian role in food fraud prevention with the hope to inform future researchers, experts and decision-makers about opportunities opened up by transforming to new cyber-physical-social ecosystem, or better to say ‘self-thinking’ food value chain whose foundations are already under development. The systematic literature network analysis is applied to fulfil the stated objective. Digitalisation and Industry 4.0 can be used to develop a system that is cost effective and ensures data integrity and prevents tampering and single point failure through offering fault tolerance, immutability, trust, transparency and full traceability of the stored transaction records to all agri-food value chain partners. In addition, such approach lays a foundation for adopting new business models, strengthening food chain resilience, sustainability and innovation capacity.

The purpose of this paper is to introduce this special issue focussing on the mentoring of beginning teachers which supports the professional learning of not only mentees but also mentors. The paper identifies the varied aims of beginning teacher mentoring programmes, some of the reasons for mentoring and an introduction to the six research papers published in the issue.

The papers in this issue examine different perspectives relating to the mentoring of student teachers and newly qualified teachers (NQTs). Different types of mentoring relationships are examined in various international contexts. The research, from Australia, the Republic of Ireland, Malta, Norway, Scotland, the USA and Wales, addresses the challenges that can occur in mentoring relationships, and enables us to better understand the professional learning that takes place in successful mentoring relationships.

The authors of the papers delineate how critical reflective practice, inquiry into professional practice, collaboration and professional learning for both mentees and mentors are key aims for many mentoring programmes. The six studies used different methods to investigate external and/or school-based mentoring programmes for student teachers and NQTs.

A snapshot of current research into professional learning is provided with most studies being small qualitative ones. However, common themes can be identified across countries and contexts. The authors of each paper outline the implications for teacher education for their own contexts, as well as for international contexts.

Teacher education programmes employ mentoring pairs and triads in order to develop particular traits and reflective practices in teachers. Research shows how mentor programmes provide classroom experience and professional learning for student and NQTs as well as professional learning for teacher mentors. University tutors play a key role in supporting not only the mentees and mentors but also the mentoring relationship.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Examines the ninth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Discusses the 6th ITCRR, its breadth of textile and clothing research activity, plus the encouragement given to workers in this field and its related areas. States that, within the newer research areas under the microscope of the community involved, technical textiles focuses on new, ‘smart’ garments and the initiatives in this field in both the UK and the international community at large. Covers this subject at length.

Looks at the eighth published year of the ITCRR and the research, from far and near, involved in this. Muses on the fact that, though all the usual processes are to the fore, the downside part of the industry is garment making which is the least developed side. Posits that the manufacture of clothing needs to become more technologically advanced as does retailing. Closes by emphasising support for the community in all its efforts.

Despite its crucial role in ensuring food safety, traceability remains underutilized by small and medium-sized enterprises (SMEs), a vital component of China’s agricultural supply chain, thereby compromising the integrity of the supply chain traceability system. Therefore, this study sets out to explore the factors influencing SMEs’ adoption of traceability systems and the impact of these factors on SMEs’ intent to adopt such systems. Furthermore, the study presents a model to deepen understanding of system adoption in SMEs and provides a simulation demonstrating the evolutionary trajectory of adoption behavior.

This study considers the pivotal aspects of system adoption in SMEs, aiming to identify the influential factors through a grounded theory-based case study. Concurrently, it seeks to develop a mathematical model for SMEs’ adoption patterns and simulate the evolution of SMEs’ adoption behaviors using the Q-learning algorithm.

The adoption of traceability among SMEs is significantly influenced by factors such as system attributes, SMEs’ capability endowment, environmental factors and policy support and control. However, aspects of the SMEs’ capability endowment, specifically their learning rate and decay rate, have minimal impact on the adoption process. Furthermore, group pressure can expedite the attainment of an equilibrium state, wherein all SMEs adopt the system.

This study fills the existing knowledge gap about the adoption of traceability by SMEs in China’s agricultural supply chain. This study represents the pioneer study that identifies the factors influencing SMEs’ adoption and examines the effects of these factors on their traceability adoption, employing a multi-methodological approach that incorporates grounded theory, mathematical modeling and the Q-learning algorithm.

This study aims to identify critical factors and examine their impact on alliance performance from an organizational learning point of view.

A modified total interpretive structural modeling (M-TISM) methodology was used in this study. The different paths/links in the developed M-TISM model were further validated by using the Mahindra-Ford alliance case study.

In this study, a total of seven critical factors were identified using an extensive literature review, and a hierarchical model was developed. Results show that prior alliance experience, inter-partner learning, knowledge transfer, absorptive capacity and knowledge internalization have a positive on the alliance productivity and performance. Furthermore, the findings indicate that prior alliance experience remains essential for alliance productivity and performance, while knowledge transfer and absorptive capacity can contribute to inter-partner learning and knowledge internalization in strategic alliances.

This study can help managers and policymakers to understand the identified critical factors from an organizational learning perspective and understand their impact on the alliance performance in a competitive environment. The managers should know that previous alliance experience, learning from partner firms, building an absorptive capacity, etc., are necessary to achieve superior alliance productivity and performance. For academicians, the M-TISM methodology used in this study can provide a mechanism to perform exploratory research and build a hierarchical model in different management research fields.

The study fills research gaps by identifying key factors, developing a hierarchical model, and examining their impact on the performance of strategic alliances in the Indian automotive industry.