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The growing number of people with multiple problems in different areas of life means that cross-domain interprofessional collaboration is becoming increasingly important. This study aims to focus on interprofessional collaboration between professionals from social work and financial and employment service organizations in The Netherlands. This type of cross-domain collaboration is still mostly superficial, and limited empirical knowledge is available about its beneficial factors.

The interprofessional collaboration model of Mulvale et al. (2016) was used as theoretical background for the research methodology and to reflect on the findings of our study. Data was collected through a qualitative study among professionals (N = 18) from social work and financial and employment service organizations in three different Dutch municipalities.

Similar team-level collaboration mechanisms of Mulvale et al.’s (2016) model were seen within this study. Joint client meetings were very beneficial for the interprofessional collaboration. Further beneficial factors include the decision-making process, team vision, client as an equal member, open communication and the appointment of a coordinator.

Further special attention is needed to determine how best to allocate co-ordinating tasks, and how organizational and policy contexts affect the functioning of interprofessional collaborative teams.

This study offers an empirical view on a cross-domain collaboration between social work and financial and employment service organizations, by using Mulvale et al.’s (2016) model. In addition, this study also offers special attention to the role of the client in interprofessional collaborative teams.

The purpose of the study is an in-depth exploration of the processes through which a leader develops their leader identity in strength, meaning and integration, with resulting enrichment outcomes.

Using multi-domain leader identity theory, this study provides an in-depth exploration of the processes through which a leader develops their leader identity. Set in a healthcare context, 26 participants took part in an 18-month multi-domain leadership development program.

Findings indicate a typology of leader identities, capturing the dynamic nature of leader identity based on combinations of strength and meaning. Our research also suggests that as the leader develops, their leader identity can change from a differentiated identity as a leader to a more integrated leader identity, with resulting enrichment outcomes.

The results suggested value in inherently multi-domain focus using event-based reflection and, as such, are useful in leader identity development programs. We recommend future research generalize to other settings and a larger population.

By taking a multi-domain approach to leader identity development, the leader has the opportunity to learn and develop in a more holistic way. They are encouraged to reflect on and learn from leadership experiences throughout their entire lives, adding breadth and depth that are often overlooked in development programs.

Developing leaders who understand who they are and are capable of critical self-reflection and learning is a fundamental requirement for the positive advancement of society.

The value of the study lies in the first longitudinal, work-based empirical study taking an explicitly multi-domain approach to leader identity development.

Considering the vital role of resource-constraint innovation in developing countries, the aim of the study is to examine the mechanism of internal and external heterogeneous knowledge sharing (HKS) in the relationship between sustainable leadership (SL) and frugal innovation (FI). The social exchange theory was used to develop a research framework.

This study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis to examine the relationship among several latent factors based on 263 participants from Pakistani SMEs.

The current findings support the significant positive impact of SL on both internal and external HKS. Moreover, this study also confirms the mediating effect of both types of HKS in the relationship between SL and FI.

To delve further into the benefits and vital role of HKS, it is recommended to conduct further research that would examine the potential impact of heterogeneous knowledge sources on the “SL–FI relationship” and to apply the presented research methodology in other countries and organizations beyond Pakistani SMEs.

This study is one of the first documented attempts to demonstrate HKS as a mechanism in the relationship between a specific type of leadership and FI.

This study analyses the relationship between the use of work–family benefits and job satisfaction (JS). Furthermore, it proposes that work-to-family conflict (WFC) and work-to-family enrichment (WFE) play a mediating role in this relationship. The purpose of this paper is to address these issues.

Data are gathered from 1,051 employees of Colombian organisations. Partial least squares path modelling is used.

The results show that the perception of WFE to a greater extent and the WFC perception, to a lesser extent, are significant mediators in the relationship between the use of benefits and JS.

This study justifies investments and initiatives on the adoption and promotion of work–family benefits. Moreover, it provides practical clues on how to boost JS: WFC and WFE are variables to be considered.

This study proposes a multiple mediation model to analyse the relationship between the actual use of work–family benefits and JS from a family perspective. It contributes to the literature in examining antecedents of JS, highlighting the role of WFE.

The purpose of this paper is to discuss how enterprises can effectively perceive and use the digital opportunities brought about by digital technologies and dynamic environments and how they can enhance their capabilities to realize digital transformation and adapt to the development of the digital economy era.

Based on the windows of opportunity theory and strategic cognition theory, this paper conducts an empirical analysis of the questionnaire data of 268 enterprises and discusses the influence of external windows of opportunity and internal windows of opportunity on the digital transformation of enterprises, as well as the action mechanism of strategic cognition and entrepreneurship.

The results show that both the external windows of opportunity and the internal windows of opportunity have significant positive effects on the digital transformation of enterprises. Strategic cognition plays a partial mediating role in the external windows of opportunity and the internal windows of opportunity influencing the enterprise digital transformation process. Entrepreneurship plays a positive regulatory role in the process of external windows of opportunity and internal windows of opportunity influencing strategic cognition.

This paper deepens the relationship between internal and external windows of opportunity and enterprise digital transformation and contributes a new theoretical cognition. This paper integrates the strategic cognition theory to clarify the complex process mechanism of digital transformation using external situational opportunities and internal capabilities. This paper introduces entrepreneurship into the path mechanism of digital transformation and expands the characteristics of the study of digital transformation antecedents to the individual level within the enterprise.

This study examines the role of Saudi women’s work motivational drivers on work–home conflict (WHC) and work–home enrichment (WHE). It considers the moderating role of psychological detachment from work during the evening between one workday and the next and how it impacts on the mediating role of WHC and WHE on work performance.

Drawing on self-determination theory and enrichment and depletion perspectives on the work–home interface, the study employs a quantitative lagged study over a period of three consecutive working days, with data collected from 358 Saudi women working in academia.

Moderated mediation structural equation modelling (MMSEM) analysis reveals that intrinsic motivation is significantly, positively related to WHE and home–work enrichment (HWE), whereas extrinsic motivation is only significantly and positively related to home–work conflict (HWC). Results show that detaching from work weakens the positive association between intrinsic motivation and HWE. In line with predictions, WHE is significantly, positively related to citizenship behaviour towards both individuals and organizations, whilst HWE is significantly related to citizenship behaviour towards individuals only. HWC is only significantly related to citizenship behaviour towards the organisation.

The research highlights the enriching experiences for Saudi women, who have the opportunity to pursue a career and highlight benefits of their ongoing empowerment.

This research brings a unique motivational perspective to work–life research and addresses a shortcoming of work–life research in considering an understudied culturally distinct population. It emphasises on the enriching experiences of Saudi women who have the opportunity to pursue a career, highlighting the benefits of their ongoing empowerment.

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive examination of the research landscape in LLMs, providing an overview of the prevailing themes and topics within this dynamic domain.

Drawing from an extensive corpus of 198 records published between 1996 to 2023 from the relevant academic database encompassing journal articles, books, book chapters, conference papers and selected working papers, this study delves deep into the multifaceted world of LLM research. In this study, the authors employed the BERTopic algorithm, a recent advancement in topic modeling, to conduct a comprehensive analysis of the data after it had been meticulously cleaned and preprocessed. BERTopic leverages the power of transformer-based language models like bidirectional encoder representations from transformers (BERT) to generate more meaningful and coherent topics. This approach facilitates the identification of hidden patterns within the data, enabling authors to uncover valuable insights that might otherwise have remained obscure. The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

This classification offers practical guidance for researchers, developers, educators, and policymakers to focus efforts and resources. The study underscores the importance of addressing challenges in LLMs, including potential biases, transparency, data privacy, and responsible deployment. Policymakers can utilize this information to shape regulations, while developers can tailor technology development based on the diverse applications identified. The findings also emphasize the need for interdisciplinary collaboration and highlight ethical considerations, providing a roadmap for navigating the complex landscape of LLM research and applications.

This study stands out as the first to examine the evolution of LLMs across such a long time frame and across such diversified disciplines. It provides a unique perspective on the key areas of LLM research, highlighting the breadth and depth of LLM’s evolution.

The purpose of this paper is to construct a digital collection and database of traditional clothing that is convenient for the digital dissemination and application of traditional clothing and provide resources for research on clothing fashion, traditional clothing techniques, clothing culture, history and clothing teaching.

A real object analysis method was used in this paper, based on 15 core elements of the internationally common DC metadata standard, and with consideration to the characteristics of clothing products and clothing industry application specifications, the core elements of DC are expanded to facilitate the detailed record of the characteristic information of clothing, especially the implicit clothing culture. A code symbol compilation method was developed to give each piece of clothing a unique number, facilitating identification, classification and recording. At last, a metadata construction scheme for traditional clothing was developed. A traditional embroidered children's hat and Mamianqunt serve as examples to demonstrate the metadata elements.

The clothing meta-database provides a main body of traditional clothing while also paying attention to the collection of cultural elements. It is composed of five layers of classified data, source data, characteristic data, connotation data and management data, as well as 28 data elements, providing ease of sharing and interoperation.

This paper expands the subset of fashion metadata by describing traditional clothing metadata, especially the excavation of clothing cultural elements, and developing code compilation methods so that each clothing product can obtain a unique identification number, thereby building a traditional clothing metadata construction scheme consisting of five data layers and containing 28 data elements. This scheme records the information about each layer of traditional clothing in detail and provides shared data for discipline research and industry applications.

The study is interested in knowing “the role of the organizational structure as a mediating variable of the relationship between the information technology and organizational communication”.

The study was conducted in several service companies, and the study adopted the questionnaire as a basic tool for the data collection on the practical side, as 267 opinions were surveyed, in addition to conducting personal interviews, and the normal distribution of data was tested, analyzing, describing and diagnosing study variables, testing correlations and determining direct effects.

Findings show that there is no direct and significant statistical impact of information technology on organizational communications. Whereas there was a positive, direct and statistically significant impact of information technology on the organizational structure. There was also a positive, direct and statistically significant effect of the organizational structure on organizational communication.

This paper is restricted to the role of the organizational structure as a mediating variable of the relationship between the influence of information technology on organizational communication.

As part of the practical implication, the paper suggests the need to increase support and attention to the importance of information technology in service organizations in order to increase coordination and organizational communication and achieve a high ability to explore and exploit ideas.

Apart from the fact that several companies were engaged, the organizational structures of these companies were engaged too to examine the impacts of Information technology (ICT) on organizational communication.