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The construction industry in Nigeria has a complex environment, comprising several combinations of consulting professions, clients, contractual arrangement and investors, with longer working hours than other industries. Work–life balance (WLB) strategies are used to balance professional life and personal life. This study aims to assess the extent of implementation of WLB strategies among construction companies in Lagos, Nigeria.

This study adopts a survey research technique. Snowball sampling technique was adopted to identify the targeted respondents for the administration of questionnaire. A total of 156 questionnaires were distributed and a response rate of 66% (103 questionnaires were completely filled and returned) was attained. Data elicited were analysed using descriptive and inferential statistics.

Results from this study provides evidence that the level of implementation of WLB strategies among construction companies in Lagos state, Nigeria is on the average. The results also revealed organisational understanding, paternity/maternity leave and flexible working arrangement as the top most three WLB strategies implemented among the construction companies in Lagos, Nigeria.

This study contributed to more effective WLB studies by identifying new information on the extent of usage of WLB practices in the Nigerian construction sector as well as offers a fresh perspective on the usage of WLB in a developing country. An understanding of these strategies is significant for companies’ stakeholders, such as management personnel, top construction professionals and policymakers, and for facilitating the adoption and implementation of WLB strategies among construction organisations.

This paper aims to systematically review and synthesize existing research on learning-driven strategic renewal and examines the findings to elucidate the dimensions, antecedents, mechanisms and consequences associated with learning-driven strategic renewal, thereby addressing gaps in the existing literature.

This research covers learning-driven strategic renewal from 1992 to 2022, using hybrid snowball sampling techniques and Boolean searches on the Scopus and Web of Science databases to extract 49 papers.

This review proposes an organizing framework for learning-driven strategic renewal, building upon existing literature. The framework identifies various dimensions of the process, including antecedents, mechanisms and consequences. The antecedents are categorized into individual, organizational and external factors. The mechanisms for learning-driven strategic renewal were explored within the context of Crossan’s established 4I framework, which serves as a lens for emphasizing the balance between exploratory and exploitative learning. Within this framework, intuiting, interpreting, integrating and institutionalizing are the four “Is” that guide the renewal process. These mechanisms require a robust system to enforce the prescribed processes effectively, thereby contributing to long-term firm performance and sustainability.

Despite using search terms similar to those in existing literature on strategic renewal, the scope and depth of this study may be limited. Further research may benefit from bibliometric screening or more refined inclusion criteria.

While there has been extensive research into both organizational learning and strategic renewal, no coherent framework links them. This study fills this gap by building a framework that identifies connections between these two concepts, providing valuable insights that may be used to foster successful strategic renewal efforts. The review offers valuable knowledge and understanding of the subject matter, serving as useful guidance for effectively driving renewal initiatives within organizations.

Purpose: The study discusses various concepts for human resources (HR) executives for effective decision making in VUCA times, talent management, hybrid work business model, creativity and innovation in HR practices, diversity, equity, and inclusion (DEI) in HR practices, and flexibility in HR policies.

Need for the Study: The driving truth of this study is to approach a successful dynamic critical model for HR leaders in the IT Industry in Chennai city during VUCA times. Volatility, Uncertainty, Complexity, and Ambiguity are the four main components of VUCA.

Methodology: The essential information was gathered with Google Structures, and testing methods were embraced to review the Snowball Examining Procedure. The 211 reactions were settled for the concentrate after deficient reactions. The auxiliary information was gathered from sources like Papers, Business Magazines, Industry Reports, Articles, and Reading material. The information was dissected with measurable programming SPSS 25 and AMOS 23. The validity check, t-test, correlation analysis, regression analysis, and structural equation modeling (SEM) are the statistical methods used in the study.

Findings: The review results that the free factor is the ability of The board, Crossbreed Work Plan of action, Imagination and development in HR rehearses, Variety, Value and Consideration in HR practices, and adaptability in HR strategies altogether affect the reliant variable viable decision making during VUCA times.

Practical Implications: The study identifies hybrid work models and flexible HR policies as crucial parameters in VUCA times.

Researchers have previously utilized the project-based 6E learning model and the problem-based quantum learning model in various courses, such as the instructional principles and methods course and the character and values education course. These models were evaluated for their impact on students in different subjects, including developing skills, values, democracy perceptions, attitudes towards cooperative learning, metacognitive thinking skills and teacher self-efficacy perceptions. In 2023, Ökmen, Sahin and Kiliç reported positive outcomes, while Sahin and Kiliç reported similar findings in 2023a, 2023b and 2023c. There has been no investigation into how the models affect students' critical thinking and academic literacy. This study seeks to determine the impact of both models on these skills, gain more insight into their effectiveness and determine which is more beneficial. The results will guide the decision-making process for the character and values education course and other courses in the future. Specifically, this research aims to compare the effects of the project-based 6E learning model and problem-based quantum learning model on critical thinking and academic literacy.

This research employed the Solomon four-group experimental design to assess the efficacy of the applications. Prior knowledge and experience of the participants were evaluated through pretests. However, it should be noted that pretests may impact posttest scores either positively or negatively. For instance, participants taking the test multiple times may become more interested or attentive to the subject matter. The Solomon four-group design was deemed appropriate to analyze the influence of pretesting. This design enables the investigation of the application effect, pretest effect and interactive effect of pretest and application (van Engelenburg, 1999).

It was concluded that the project-based 6E learning model was effective in developing critical thinking in students, but not significantly. It was concluded that the problem-based quantum learning model significantly improved students' critical thinking skills. It was concluded at the end of the study that the project-based 6E learning model notably enhanced students' academic literacy. It was concluded that the problem-based quantum learning model had a significant positive impact on students' academic literacy. According to research, it has been determined that the problem-based quantum learning model is superior in enhancing critical thinking abilities compared to the project-based 6E learning model. Nevertheless, there seems to be no detectable disparity in the academic literacy advancement of pupils between the problem-based quantum learning model and the project-based 6E learning model.

There has been no investigation into how the models affect students' critical thinking and academic literacy. This study seeks to determine the impact of both models on these skills, gain more insight into their effectiveness and determine which is more beneficial. The results will guide the decision-making process for the character and values education course and other courses in the future.

Students pursuing different professional courses at the higher education level during 2021–2022 saw the first-time occurrence of a pandemic in the form of coronavirus disease 2019 (COVID-19), and their mental health was affected. Many works are available in the literature to assess mental health severity. However, it is necessary to identify the affected students early for effective treatment.

Predictive analytics, a part of machine learning (ML), helps with early identification based on mental health severity levels to aid clinical psychologists. As a case study, engineering and medical course students were comparatively analysed in this work as they have rich course content and a stricter evaluation process than other streams. The methodology includes an online survey that obtains demographic details, academic qualifications, family details, etc. and anxiety and depression questions using the Hospital Anxiety and Depression Scale (HADS). The responses acquired through social media networks are analysed using ML algorithms – support vector machines (SVMs) (robust handling of health information) and J48 decision tree (DT) (interpretability/comprehensibility). Also, random forest is used to identify the predictors for anxiety and depression.

The results show that the support vector classifier produces outperforming results with classification accuracy of 100%, 1.0 precision and 1.0 recall, followed by the J48 DT classifier with 96%. It was found that medical students are affected by anxiety and depression marginally more when compared with engineering students.

The entire work is dependent on the social media-displayed online questionnaire, and the participants were not met in person. This indicates that the response rate could not be evaluated appropriately. Due to the medical restrictions imposed by COVID-19, which remain in effect in 2022, this is the only method found to collect primary data from college students. Additionally, students self-selected themselves to participate in this survey, which raises the possibility of selection bias.

The responses acquired through social media networks are analysed using ML algorithms. This will be a big support for understanding the mental issues of the students due to COVID-19 and can taking appropriate actions to rectify them. This will improve the quality of the learning process in higher education in Oman.

Furthermore, this study aims to provide recommendations for mental health screening as a regular practice in educational institutions to identify undetected students.

Comparing the mental health issues of two professional course students is the novelty of this work. This is needed because both studies require practical learning, long hours of work, etc.

Drawing on the dynamic capability view, this study aims to examine the relationships between big data analytics capability (BDAC) and sustainable supply chain performance (SSCP) by exploring the mediating effects of knowledge development (KD) in terms of knowledge acquisition, information distribution, shared meaning and achieved memory.

Data were collected by questionnaire survey from 300 manufacturing organizations. Structural equation modeling was used to test the research hypotheses.

It was found that all the dimensions of KD were positively related to BDAC and SSCP. Although no direct association was established between BDAC and SSCP, the empirical findings indicated that all the dimensions of KD fully mediated the relationship between BDAC and SSCP. This highlights that organizations need to harness KD because developing BDAC alone may not be sufficient.

No previous research has explored how KD dimensions such as knowledge acquisition, information distribution, shared meaning and achieved memory mediate the relationship between BDAC and SSCP. This paper addresses this gap in the literature and contributes to the existing debate to better understand the conditions in which BDAC affects SSCP. Pointers for future research are also identified.

This research explores the purchasing behavioural drivers of young Chinese consumers purchasing foreign clothing brands. The aim is to include a range of drivers identified by different investigations into a single approach, to determine direct and indirect channels by which these drivers influence purchasing behaviour, and their relative importance in quantitative terms.

The methodology is based on an extended version of the theory of planned behaviour that considers hypotheses based on a number of studies revised in the literature review. This theoretical framework was used as the basis for a questionnaire applied to a sample of 362 young Chinese consumers. A Partial Least Squares Structural Equation Modelling approach was used to analyse the collected data.

The results revealed three main channels influencing purchasing behaviour which were shown to share the same root, corresponding to the influences of the social network young consumers belong to. This result suggests that social norms have a key role in explaining young consumers' purchasing behaviour through its impact on their needs for status and social recognition, their attitudes towards foreign cultures and foreign brands, and their beliefs regarding the attributes of foreign clothing.

The work therefore provides companies operating in the foreign clothing market the confidence to devise business strategies that focus on the channel demonstrating the highest influencing power. A strategy likely to have the highest influencing power is one that uses celebrities to promote the reputation of products and reinforce the messages associated with status and social recognition. Reinforcement of these strategies could include secondary strategies linked to the other channels such as the one related to the adoption of foreign cultural symbolism.

In contrast to the majority of related studies, this investigation also explores indirect channels or paths by which a behavioural driver affects the behaviour of young Chinese consumers. In fact, this investigation not only simultaneously identified the different paths influencing young Chinese consumers purchasing behaviour but also quantitatively identified their relative importance.

Considering the pervasiveness of technology, this article offers an understanding of how the metaverse can impact digital entrepreneurship. The objective will be to gather professional evidence on how the revival of this new technology can bring entrepreneurial development.

Through a qualitative study approach based on applying the metaverse in digital business contexts and analysing 533 practitioner sources from the Nexis Uni database, it will be possible to identify the concepts and application techniques of this emerging technology. The research adopts a qualitative methodology based on a mixed thematic and content review using tools such as ATLAS.ti and Leximancer.

This study finds three relevant macro-topics for metaverse and digital entrepreneurship (technology, immersive and design) and eight concepts (private solutions, digital twins, gamification, public solutions, new business worlds, co-design, collaborative spaces and stakeholders' participation). The uncovered elements demonstrate professionals' interest in a new mode of digital entrepreneurship using the metaverse. This interest highlights the commitment of companies and entrepreneurs toward discovering new services delivered in virtual and parallel worlds that find the creation of digital twins as their essence. Therefore, the study explores ongoing relationships for developing increasingly technically complex metaverse platforms and customer service offerings.

The study has some limitations as the selection of the database and the way the cases are focused on, which may be a stimulus for future studies. The analysis has innumerable theoretical and practical implications. In the first case, this research will shed light on an empirical case concerning the conceptual difference between innovation or greater transformation of business models through the metaverse. This work will directly contribute to the global discussion by identifying a model for applying emerging technology to digital entrepreneurs. Finally, from a practical point of view, the authors will provide new insights to digital entrepreneurs by showing them applications, best practices, and platforms they can use for their businesses.

On a practical level, the authors show practical opportunities coming from the metaverse for digital entrepreneurs. This study may inspire CEOs, managers, and future entrepreneurs to use the metaverse to expand their businesses by diversifying their services into numerous sectors.

To the best of the authors' knowledge, this study represents one of the first efforts to study the metaverse by framing it from theoretical and practical perspectives of digital entrepreneurship. Additionally, future research implications may guide researchers in this brilliant research field.

This project aims to examine how entrepreneurial orientation and succession planning among Palestinian family businesses positively affects their associated growth potential, considering the mediating role of innovation and the moderation effect of geographic location. Leveraging ethnic entrepreneurship theory, the authors compare these types of enterprises in the USA with their counterparts in Palestine.

This cross-sectional quantitative research analyzes data collected from October through December 2022. 180 Palestinian family-owned firms completed a survey; 90 companies were located in Palestine, while the other 90 were in the USA. Structural equation modeling analysis was conducted using Smart-PLS4. The interrelations of the conceptual framework were examined via path analysis and bootstrapping techniques.

The authors found a statistically significant positive effect of entrepreneurial orientation on Palestinian family business growth; the authors’ results concurrently indicated succession planning did not affect growth within the authors’ selected population. The authors also discovered innovation mediates the relationship between orientation and growth, and business location appears to moderate this relationship. The authors’ research indicates geography appears to favor Palestinian family-owned companies in the USA, where the authors found opportunity-driven immigrant entrepreneurs benefit from the structured business systems in a highly-developed country.

Given the current situation in Palestine, it is essential to understand the potential contribution that Palestinian family-owned businesses globally can make to reconstruct the country’s local economy. The next few years will be critical in figuring out how innovative thinking can boost the region’s recovery and increase Palestinian-based family companies’ ability to engage in sustainable entrepreneurship with reinvestment support from its diaspora. Therefore, it is important to have research that identifies factors that could improve these businesses’ continued performance and growth potential. This study also aids in further understanding the defining characteristics of Palestinian-owned family firms, enhancing general theories related to entrepreneurship among ethnic and diasporic groups.

This study aims to examine the nexus between digital financial literacy and customers’ perceived financial behavior within the Kuwaiti context. Moreover, it will further explore how digital financial literacy relates to financial behavior dimensions.

Data collection was facilitated by creating a questionnaire derived from multiple literature sources. This study used a cross-sectional, time-based dimension. Data was analyzed using the partial least square (PLS) structural equation modeling approach, using the Smart-PLS 4 software for computation.

Findings demonstrated a significant relationship between digital financial literacy and financial behavior, with a path coefficient of 0.542, a p-value of 0.000 and an R² value of 0.581. The explorative model revealed substantial relationships between many dimensions of digital financial literacy and various dimensions of financial behavior. More precisely, financial knowledge, awareness and decision-making were the factors that had the most significant impact on financial behavior.

Kuwaiti policymakers should consider including digital financial literacy programs in comprehensive financial education programs to improve public understanding of digital financial instruments and their consequences.

As the authors know, this is the initial endeavor to evaluate the relationship between digital financial literacy, financial behavior and their respective dimensions.