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The research aims to investigate the changing skills required for international entrepreneurship (IE) and the awareness of these skills among students and professionals in four European countries. The study intends to investigate students' and professionals' perceptions of entrepreneurial skills and the potential for educational programs to improve their awareness of these skills.

This quantitative cross-sectional analysis uses an online questionnaire to collect data from 75 university students and 75 entrepreneurs in four European countries. Several tests validate the data, and Cronbach's alpha succeeded in measuring internal consistency. The results showed differences in the perception of skills between students and entrepreneurs.

Entrepreneurs had developed all competencies except access to finance, while students had lower perceptions of their skills, except for collaboration. Students needed to improve significantly in access to finance, business planning, financial skills, knowledge of the labour market and digital marketing. Practitioners only required significant improvement in access to finance and digital marketing.

Education programs should fit the needs of different groups: a broader program for students and more specific courses on access to finance and digital marketing for practitioners.

The present research's original feature highlights the need to monitor and adapt to the constantly changing skills for IE and the importance of hard and soft skills. The paper provides insights into the subject's awareness and perceived standard, with reflections for policymakers and practitioners.

The data monetization market is valued at $1.5 billion, with an expected annual growth rate of 25%. This growth presents significant opportunities for companies to expand their revenue streams. However, many companies struggle to extract value from their data due to existing challenges and need for more knowledge. While existing studies describe and classify dimensions of the phenomenon, there is a need to explore causality relations that can help the structuring of data monetization processes. This study aimed to support the structuring of the data monetization process.

Proposing causality relations is important to explore the data monetization phenomenon. Therefore, empirical knowledge about data monetization was organized into design patterns using the context-intervention-mechanism-outcome (CIMO) logic. The effectiveness of these patterns was then assessed through an exploratory case study conducted at a leading Brazilian academic institution where data monetization is central to its business model.

The study yields six design patterns that address various aspects such as data pricing, data-driven business models and best practices for data monetization. Additionally, it presents a comprehensive understanding of the data monetization process through a value-added chain framework.

The findings contribute to the advancement of knowledge in the field, the proposition of causality, and offer valuable insights into organizations that wish to structure their resources and capabilities and leverage data.

The integration of sustainability, performance measurement and new product development (NPD) is key for aligning environmental and social objectives with business strategies. While previous research has initiated proposals for integrating sustainability into NPD or incorporating sustainability into corporate measurement systems, there is a notable deficiency in studies that comprehensively integrate these three perspectives. In this sense, this study proposes a performance framework (PF) to integrate sustainability performance indicators (PIs) into the measurement system considering the company’s NPD phases.

The PF was developed through a literature review and action research (AR). This resulting PF was positively evaluated by the practitioners in the company.

First, the review enabled the synthesis of an initial conceptual PF with 188 sustainability PIs and a five-step procedure. Then, the empirical results of the AR led to a new PF that presents the systematisation of the PIs database and a practice-based seven-stage approach.

This action-oriented research limits the extent to which this study’s findings can be generalised. Future research should apply the PF in different research designs to produce managerially relevant knowledge.

This PF may provide managers with actionable knowledge that best supports the measurement system integration with sustainability PIs considering the NPD phases.

Integrating sustainability, performance measurement and the NPD has been recognised as critical for supporting decision-making concerning the impact of processes and products. Compared with previous frameworks, the proposed PF extends the existing literature by introducing a systematised PIs database and a novel procedure for integrating sustainability measurement throughout the NDP.

The impact of dependence on self-care on people’s lives is very significant, with consequences for the person and their caregivers. The purpose of this study is to map the evidence on the factors that influence the empowerment of the person dependent on self-care on returning home.

Scoping review according to the criteria proposed by the Joanna Briggs Institute: population (people with a dependence on self-care), concept (factors that influence training) and context (return home after hospitalization in a medical-surgical context). The research was carried out from March 1 to April 30, 2022, in the databases CINAHL and MEDLINE (via EBSCO), Scielo, LILACS, Cuiden and MedicLatina; Gray literature searched RCAAP, DART-Europe and OpenGrey. Studies published in Portuguese, Spanish and English were included, with no time limit.

One hundred and eighty-one articles were obtained, which, after analysis according to the criteria, resulted in seven studies included for review, ranging from 2007 to 2021, with a level of evidence between 2. c and 4. a (according to Joanna Briggs Institute), and two thematic areas/four categories emerging.

The need for information and training, the relationship and proximity with the health-care team, the design of nursing care targeted at the person’s level of dependence, education, gender, type of surgical intervention and postoperative period, physical space and lack of privacy and audiovisual media.

The perception of these factors proves to be important in the person’s training process, with the nurse’s role being highlighted due to their emphasis on the transition home.

Understanding work and its improvement from the individual’s perspective has become a critical issue in the 21st century. We are witnessing an overwhelming amount of information that is contributing to high stress levels among workers worldwide, which in turn has a significant impact on their physical health. From Imai's (1986) concept of Kaizen-Individual and Ohno’s (1978) idea of Manual Kaizen, the individual has always been at the heart of Kaizen philosophy. Recent research continues to explore this concept, focusing on aspects such as a sense of urgency or self-improvement. In this way, the purpose of this research is to explore and understand in depth Individual Kaizen in the micro work of Japanese companies; for this, the following research question is available: How is Individual Kaizen implemented in the work processes of the Japanese manufacturing companies examined?

The methodology used was qualitative due to its exploratory nature. To this end, the strategy of multiple case studies was used during stays in manufacturing companies in Japan. Methods of direct observation, documentary analysis, and in-depth semi-structured interviews were used.

The study in Japanese companies shed light on the micro work environment and how workers execute their processes through operational standards focused on visual control (mieruka), individual and manual Kaizen as well as quality at the source. With all this context, the result was that Individual Kaizen is made up of four major elements: willingness to improve (Jishusei), life purpose (Ikigai), sense of urgency and commitment to work (Kodawari).

The authors acknowledge that this study may have certain limitations due to its exploratory nature. Although a case study methodology was employed, limitations are always possible, primarily due to the small sample size and the bias that may arise from leaving out certain companies or key actors. Furthermore, the interviews were conducted only in a few Japanese companies, most of which are large and have an international presence.

Few studies have analyzed Kaizen in Japan, perhaps those by Brunet and New (2003), Macpherson (2015) and Yokozawa et al. (2021). However, delving deeper into the term Individual Kaizen in the micro-work of Japanese companies is novel and unique, in the sense of generating more theoretical constructs of Kaizen. First article that attempts to explain this work dynamic in micro work through Individual Kaizen.

How does business model design play a role in enabling manufacturing firms’ services? This study aims to investigate the impact of two distinct types of business model design, namely, efficiency-centered business model design (EBMD) and novelty-centered business model design (NBMD), and their effects in balanced and imbalanced configurations, on two types of services: product- and customer-oriented services.

Using matched survey data of 390 top managers and objective performance data of 195 Chinese manufacturing firms, this study uses hierarchical regression, polynomial regression and response surface analysis to test the hypotheses.

The results show that while EBMD positively affects product-oriented services, NBMD positively affects customer-oriented services. Both types of services exert a significant influence on firm performance. Furthermore, the degree of product- and customer-oriented services increases with an increasing effort level with a balance between EBMD and NBMD. Asymmetrical, imbalanced configuration effects reveal that the degree of product-oriented services is higher when the EBMD effort exceeds the NBMD effort, and the degree of customer-oriented services is higher when the NBMD effort exceeds the EBMD effort.

This study enriches the understanding of designing business models to facilitate service growth in manufacturing firms, ultimately benefiting firm performance. In addition, exploring balanced and imbalanced configurations of EBMD and NBMD offers new insights into business model dual design research.

This article sheds light on the missing links concerning the study of using integrated enabling technologies toward sustainable and circular agriculture supply chains by examining the available literature and proposing future research possibilities.

The relevant literature was researched through online databases such as Scopus, Web of Science, Academic Search Premier, Emerald, IEEE Xplore, Science Direct, World Scientific Net and Springer-Link Journals, covering a period from 1999 to 2020. A systematic literature review based on 75 papers analyzed the integration of the concepts of enabling technologies, sustainability, circular economy and supply chain performance in agriculture supply chains.

It was identified that enabling technologies and agriculture supply chains alone have been explored further than integrated enabling technologies, sustainability, circular economy, supply chain performance and agriculture supply chains. Enabling technologies and agriculture supply chains' main findings are: enabling technologies have been studied to improve food safety, food quality and traceability in agriculture supply chains. The main results regarding integrated enabling technologies, sustainability, circular economy, supply chain performance and agriculture supply chains are: Internet of Things and information communication technology play an important role in addressing food security, traceability and food quality, which help achieve sustainable development goals.

This review study provides 13 research questions to underpin future trends regarding integrated technologies' application in agriculture supply chains for circular and sustainable growth.

Based on social exchange and resource dependence theories, this research investigates how manufacturing firms’ commitment to low-carbon operations management (CLCOM) prompts manufacturing carbon performance (MCP) through low-carbon supply chain collaboration (SCC), as well as the moderating role of supply chain risk management (SCRM).

This study verifies the hypotheses employing hierarchical regression analysis and bootstrapping methods through an online survey of 297 Chinese manufacturers.

The results demonstrate that manufacturers’ low-carbon SCC mediates the influence of affective and continuance CLCOM on MCP. SCRM dampens the link between affective CLCOM and low-carbon SCC. Further, SCRM heightens the relationship of continuance CLCOM–low-carbon collaboration with suppliers, but does not enhance the level of continuance CLCOM–low-carbon collaboration with customers.

This research contributes to the theory and practice area by unveiling the “black-box” of the CLCOM–MCP relationship and considers SCRM’s moderating effect.

Empirical literature is the primary source of understanding how policing can effectively reduce criminal activities. Spatial analyses can identify particular effects that can explain and assist in constructing appropriate regional strategies and policies; nevertheless, studies that use spatial regression methods are more limited and can provide a perspective on specific effects in a more disaggregated regional context.

This research aims to conduct a systematic literature review (SLR) to understand the relationship between crime indicators and police production using spatial regression models. We consider a combination of Kitchenham and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols as a methodological strategy in five bibliographic databases for collecting scientific articles.

The SLR suggests a limited amount of evidence that meets the criteria defined in the research strategy. Several particularities are observed regarding police and criminal production metrics, either in terms of aggregation level, indicator transformations or scope of analysis. A broader time perspective did not necessarily indicate statistical significance compared to models with a single-period sample.

The findings suggest the possibility of expanding efforts by the public sector to provide policing data with the intention of conducting appropriate research using spatial analysis. This step could allow for a more robust integration between the public sector and researchers, strengthening policing strategies, evaluating the effectiveness of public security policies and assisting in the development of strategies for future policy actions.

Limited empirical evidence meets the criteria of spatial regression models with temporal components considering police production and criminality indicators. Constructing an SLR with this scope is an unprecedented contribution to the literature. The discussion can enhance the understanding of approaches for studying the relationship between police efforts and crime prevention.