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Whilst an urgent need for collaboration is increasingly seen in education to better respond to socio-educational challenges, in practice, collaboration between primary school teachers and their partners is hampered by barriers. The aim of this study is to shed light on these barriers from a human resource management (HRM) angle, using the ability, motivation and opportunity (AMO) framework.

Quantitative and qualitative data were collected amongst staff in 16 child centres offering joint pre-school, education and childcare.

The authors' findings suggest that in general, both teachers and childcare workers perceive themselves as skilled and motivated for collaboration. They perceive aspects of opportunity to perform as most important barriers.

Based on this research, school leaders are advised to organise opportunities for collaboration, especially by fostering an inclusive organisational climate and scheduling sufficient time for collaboration.

This paper contributes to the relatively scarce body of research on HRM within the education sector. Furthermore, it illustrates the applicability of the AMO model for gaining insight into how educational management can be utilised to foster increased collaboration between teachers and childcare workers.

The purpose of this study is to examine the role of interaction in supporting value co-creation during pre-purchase customer journey stages when selling professional B-to-B services. First, value co-creation in professional service firms (PSFs) is reviewed, and, second, the role of interaction in the different stages of a customer’s pre-purchase journey is explored, specifically in the context of B-to-B human resource management services.

Qualitative, semi-structured interview data was collected from potential B2B customers of a PSF in question, providing a broad coverage of prospective clients in architecture, engineering and IT sector.

In general, the findings of this study indicate that interaction plays a crucial role in pre-purchasing stages of a customer journey. In particular, these findings form understanding of how various interaction channels and content support PSF’s ability to co-create value with its prospects.

The existing research tends to concentrate on how value is created for existing customers, and far less attention has been paid to the perspective of prospects. This study contributes theoretically by providing novel insights into the current literature on value co-creation in PSFs by providing an understanding of how interactions in pre-purchase phases affect the co-creation of value from the perspective of prospects, which is a less researched viewpoint. Empirically, this study offers managers much-needed, context-specific knowledge of PSFs by comparing differences and pulling together similarities from each customer journey stage of PSF prospects.

The purpose of this study is to target utilizing Human resources (HRs) data analytics that may enhance strategic business, but little study has examined how it affects components. Data analytics, HRM and strategic business require empirical investigations and how to over come HR data analytics implementation issues.

A semi-systematic methodology for its evaluation allows for a more complete examination of the literature that emerges theoretical framework and a structured survey questionnaire for quantitative data collection from IT sector personnel. SPSS analyses data.

Future research is essential for organisations to exploit HR data analytics’ performance-enhancing potential. Data analytics should complement human judgment, not replace it. This paper details these transitions, the important contributions to theory and practice and future research.

Data analytics has grown rapidly and might make HRM practices faster, more efficient and data-driven. HR data analytics may improve strategic business. HR data analytics on employee retention, engagement and organisational success is insufficient. HR data analytics may boost performance, but there is limited proof. The authors do not know how HRM data analytics influences firms and employees.

Data analytics offers HRM new opportunities, along with technical and ethical challenges. This study makes a significant contribution to HR data analytics, evidence-based practice and strategic business literature. In addition to estimating turnover risk, identifying engagement factors and planning interventions to increase retention and engagement, HR data analytics can also estimate the risk of employee attrition.

This paper aims to explore how the scientific literature and company reports have addressed inclusive workplace design and strategies to date.

This paper adopts a scoping review to answer the following question: To what extent is inclusion present in workplace design and related strategies? An analysis of 27 scientific papers and 25 corporate social responsibility reports of the highest-ranked companies in the Great Place to Work global ranking disentangles the main aspects related to workplace design and strategies for promoting inclusion.

This paper opens avenues for four macro-categories of diversity (psycho-physical aspects; cultural aspects; socio-economic conditions; and ability, experience and strengths) to support the development of inclusive workplace design and strategy. Besides, multiple spatial scales emerged as material and immaterial elements of the workplace encountering inclusion and diversity.

Nowadays, the workforce is becoming more diverse. Although diversity, equity and inclusion (DE&I) has become key to many organizations, it remains unclear how DE&I principles are applied in workspace design and strategies. This scoping review provides a novel perspective on the topic by integrating scientific knowledge and practice-based approaches which still address this matter independently.

Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.

After a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.

This paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.

The focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.

The transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.

Green supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.

We have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.

This study explores municipal leaders' perceptions on strategic human resource management in their local government organization. Previous studies on companies demonstrate that the top manager's perceptions of the importance of human resource management (HRM) for the organization are reflected in the quality of human resource management and its strategic role. The authors are interested in how leaders in municipalities perceive HRM.

The authors interviewed 30 leaders of Finnish municipalities for this qualitative study focused on municipal leaders' perceptions of HRM. The authors applied a discourse analytical approach in the analysis.

The authors recognized four discourses that frame perceptions of HRM: HRM as a strategic weapon, HRM as an underperformer, HRM as a matter of formality and HRM as a cost generator. In addition, the authors recognized that the discourses reflected leaders' self-positioning in relation to the power to impact issues related to HRM. Shifting between distinct roles demonstrated that municipal leaders' emphasis on HRM and its strategic alignment reflects the power relations in the municipality and the attitudes to the importance of HRM.

This study contributes to the academic discussions on HRM in municipalities and provides views on the municipal leader's role and impact on valuing and investing in HRM. From a practical point of view, the study will increase municipal leaders' knowledge of HRM's impact on the performance of the organization and also of the possible means of HRM.

Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning.

For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared.

The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models.

This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.

Heavy rainfall is one of the main causes of the degradation of historic rammed Earth architecture. For this reason, ensuring the conservation thereof entails understanding the factors involved in these risk situations. The purpose of this study is to research three past events in which rainfall caused damage and collapse to historic rammed Earth fortifications in Andalusia in order to analyse whether it is possible to prevent similar situations from occurring in the future.

The three case studies analysed are located in the south of Spain and occurred between 2017 and 2021. The hazard presented by rainfall within this context has been obtained from Art-Risk 3.0 (Registration No. 201999906530090). The vulnerability of the structures has been assessed with the Art-Risk 1 model. To characterise the strength, duration, and intensity of precipitation events, a workflow for the statistical use of GPM and GSMaP satellite resources has been designed, validated, and tested. The strength of the winds has been evaluated from data from ground-based weather stations.

GSMaP precipitation data is very similar to data from ground-based weather stations. Regarding the three risk events analysed, although they occurred in areas with a torrential rainfall hazard, the damage was caused by non-intense rainfall that did not exceed 5 mm/hour. The continuation of the rainfall for several days and the poor state of conservation of the walls seem to be the factors that triggered the collapses that fundamentally affected the restoration mortars.

A workflow applied to vulnerability and hazard analysis is presented, which validates the large-scale use of satellite images for past and present monitoring of heritage structure risk situations due to rain.

This chapter discusses the growing importance of research-related information in the face of increased complexities and competitiveness within higher education environments globally. It provides some reflections on the importance of institutional research cultures to effectively address these challenges, focussing on the African context, and the role of effective research support through institutional structures such as a dedicated research office. The increasingly strategic role of research management has led to the need for a more active and visionary role in the positioning of institutions by supporting decision-making and contributing to the development and visibility of institutional research portfolios. The authors provide their insights into the scope of research-related information, the need for research offices to perform this strategic function, how these information sets can be applied in reports, evidence-based decisions, institutional showcasing, and enhanced research support. The chapter includes aspects to consider when establishing a research-related information management function within institutions.

In this chapter, we discuss talent development in the context of higher education. After discussing the advantages and disadvantages of inclusive and exclusive approaches to talent development, we present empirical data that detail how the participants of a focus group study perceive talent development in higher education. Our data show the importance of a contextualized reading of talent development as the competitive context in academia hinders an inclusive focus on talent development. This context results in a performance-centred, instead of a development-centred approach to talent management, where outperforming others in narrowly defined areas (e.g. publication record) is the main goal. We show that in such a context the development of competitive talent is rewarded, and the development of communal talent is not. The focus on performance instead of (inclusive) development becomes more pronounced when employees move through their career and is believed to have several negative consequences. Mostly women perceived that such a non-inclusive approach to talent development hinders the development and deployment of their talents and obstructs their career progression.