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Identifying data reuse is challenging, due to technical reasons, and, in particular, incorrect citation practices among scholars. This paper aims to propose an automatic method to track the reuse of data deposited in the archives joined to the CESSDA (Consortium of European Social Science Data Archives) infrastructure. The paper also offers an overview on the identified data to understand the characteristics of the most reused data sets.

The reuse of data sets stored in the GESIS data archive, the biggest CESSDA data archive, and cited in publications indexed by Scopus, is tracked. Metadata of publications, and those of data sets, allow us to understand the characteristics and circumstances in which data reuse happens.

This contribution demonstrates the possibility of tracking data reuse through an automatic way, despite the technical difficulties in doing it. Evidence about the most reused data are shown, highlighting some limits in the tracking practices of reuse. Finally, some suggestions to the actors involved in data sharing are proposed.

The originality of this work is the provision of an automatic procedure to investigate and measure the data reuse, providing information on how it happens. This is uncommon in the social science literature and archives, that usually adopt inaccurate metrics to measure data reuse.

Through the reconstruction of the events of some foreign entrepreneurs who worked in the territory of the Italian city of Bari in the first half of the 19th century, this paper aims to analyze the role of entrepreneurial migration in the economic development of Apulia land in this period.

This study adopts a theoretical framework that combines the concept of mixed embeddedness in a multifocal perspective, with the model of the diffusion of innovation focusing on the role of the so-called agency of actors, and of the network, in the dissemination of innovation. The theoretical framework is applied to multiple case studies to compare the evidence that emerged from the simultaneous analysis of several situations.

By analyzing how innovations have spread within the network of entrepreneurs of that time, it is possible to identify some relevant aspects related to the mechanisms of dissemination of innovations in the context of entrepreneurial migration. Specifically, the opportunity structure is intended in an even broader sense than indicated in the classic approach to mixed embeddedness: it is considered as the result of the joint interaction of the political, institutional and economic context of several places, and the behavioral dynamics of several groups.

Due to the specific method chosen, the outcomes of the research might apply to a narrow context. Therefore, the results need to be tested and confirmed in further empirical studies, and by applying multiple research methods.

Findings are useful and significant in the analysis of the link that exists between the diffusion of innovations and migrant entrepreneurship, and then the conclusions can be applied and extended to the current phenomenon of migration-related innovations, with specific reference to developing countries.

Findings can be applied and extended to the current phenomenon of migration-related innovations and highly skilled migration, with specific reference to developing countries.

This paper contributes to shed new light on the contextual and multifocal factors that influence the development of innovations in the networks of migrant entrepreneurship, in a specific historical period and a specific context. Combining social, human and financial capital with the wider opportunity structure, this study also provides a comprehensive understanding of the modalities through which migrant and high-skilled entrepreneurs could innovate.

The emergence of widely available Generative Artificial Intelligence (GenAI) tools, such as ChatGPT, presents both opportunities and threats for higher education. This study aims to investigate the factors that influence students’ current use of GenAI and students’ perceptions of how GenAI can facilitate learning, as well as informs recommendations for institutional policies related to GenAI.

A mixed-method approach was used. A survey of undergraduate business students was followed by a case study that required students to use GenAI as part of a homework assignment and then reflect on their learning experience.

Students used GenAI more frequently when they perceived that it helped their learning outcomes and when it was perceived as a social norm. Conversely, the perception that GenAI was cheating reduced its usage. Male (vs female) students used GenAI more frequently. Students preferred institutional policies that allowed the use of GenAI but also set clear boundaries for its use. They reported that the assignment that required the use of GenAI enhanced their learning experience.

Results from the survey and case study imply that institutions should set policies establishing clear boundaries for the use of GenAI while encouraging and training faculty to incorporate GenAI into classroom assignments. Doing so can facilitate student learning and train students on an important technology that prepares them for the workforce.

This study provides insight into students’ usage of GenAI, explores factors that predict its usage, provides policy recommendations for educational institutions and offers a template for incorporating GenAI into classroom assignments.

Data represents a critical resource that enables construction companies’ success; thus, its management is very important. The purpose of this study is to assess the benefits of construction data risks management (DRM) in the construction industry (CI).

This study adopted a quantitative method and collected data from various South African construction professionals with the aid of an e-questionnaire. These professionals involve electrical engineers, quantity surveyors, architects and mechanical, as well as civil engineers involved under a firm, or organisation within the province of Gauteng, South Africa. Standard deviation, mean item score, non-parametric Kruskal–Wallis H test and exploratory factor analysis were used to analyse the retrieved data.

The findings revealed that DRM enhances project and company data availability, promotes confidentiality and enhances integrity, which are the primary benefits of DRM that enable the success of project delivery.

The research was carried out only in the province of Gauteng due to COVID-19 travel limitations.

The construction companies will have their data permanently in their possession and no interruption will be seen due to data unavailability, which, in turn, will allow long-term and overall pleasant project outcomes.

This study seeks to address the benefits of DRM in the CI to give additional knowledge on risk management within the built environment to promote success in every project.

Since the COVID-19 pandemic had a significant impact on all facets of civilisation around the world, including food safety, this study aimed to determine and compare the pre-COVID and post-COVID food safety knowledge of Bangladeshi consumers and their association with sociodemographic variables.

The current study performed a cross-sectional survey of 503 consumers who prepared food at least 2–4 times per week through a validated questionnaire, selected through convenience sampling from two metropolitan cities and two rural districts in Bangladesh. The non-parametric Wilcoxon signed-rank test, Mann–Whitney U tests, Kruskal–Wallis H and binary logistic regression were used for statistical analysis.

Although an increased percentage of consumers showed a better level of overall food safety knowledge in the post-pandemic (38.2%) than the pre-pandemic (28.8%), there is a low level of awareness of the appropriate duration of handwashing, foodborne pathogens, consuming raw milk or eggs, safe storage and temperature control of food. University graduates, families with few children and urban consumers had a good understanding of food safety both pre- and post-pandemic.

This study compares consumers’ pre- and post-COVID-19 food safety knowledge previously unknown in Bangladesh. The findings have significantly contributed to existing food safety knowledge in Bangladesh to adopt policies and structure training programmes for consumers in the country.

This study aims to investigate the drivers influencing the adoption of building information modelling (BIM) for post-construction management in the architecture, engineering, construction and operations (AECO) industry, specifically focusing on International Facility Management Association (IFMA) registered professionals in Abuja, Nigeria.

A quantitative approach was employed, using a purposive sampling technique. In total, 132 valid responses were analysed using statistical tools such as Cronbach’s alpha, mean, one sample t-test, Kruskal–Wallis, factor and correction analysis.

Result shows that flexibility among industry stakeholders towards adopting new technology and safety/emergency management are the most critical drivers. All the identified drivers were significant (p < 0.05). Kruskal–Wallis’s analysis shows that professionals have similar opinions on the BIM drivers. Factor analysis categorises the drivers into seven components: availability and usage of software, increased efficiency, improved performance, safety and resources, change in method of operation, improved profitability and government intervention. Positive correlations connect BIM software availability with efficiency, performance, safety, resource management, operational changes, profitability and government support.

One limitation of this study is the focus on a specific group of professionals in Abuja, which may limit the generalisability of findings to the broader Nigerian AECO industry. Future research should consider a more diverse sample. In addition, qualitative research methods could provide deeper insights into the qualitative aspects of BIM adoption.

This research contributes to the existing body of knowledge by providing empirical evidence of the drivers influencing BIM adoption in the post-construction phase, particularly in Nigeria.

This study aims to identify and evaluate the key strategies to promote the implementation of automation techniques with reference to the Nigerian construction industry.

Pragmatic philosophical thinking using a mixed-method approach (a combination of qualitative and quantitative) was adopted for this study. The qualitative strand of this research was achieved using a Delphi technique while a well-structured questionnaire conducted among 191 construction professionals was adopted to attain the quantitative strand. Obtained data were analyzed using frequencies, percentages, mean item scores, Kruskal–Wallis H test and exploratory factor analysis (FA).

Results revealed that the “provision of funding and subsidies for automation techniques” “mandatory automation policies and regulations,” “creating incentives for adoption,” “formulation of programs to promote awareness” and “deploying gamification to boost employee performance” were the top five strategies to promote the adoption of automation techniques. FA revealed four principal clusters, namely, awareness and publicity programs, government regulations and standards, provision of education and training and awards and recognition.

This study provided a solid theoretical and empirical foundation that can be useful to construction industry stakeholders, decision-makers, policymakers and the government in mapping out strategies to promote the incorporation and deployment of automation and robotics in the construction industry.

To the best of the authors’ knowledge, this study is one of the first in developing countries and Nigeria to establish an ordered grouping structure of the strategies to promote the adoption of automation techniques.

Construction renovation projects have been noted to suffer from uncertainties. While recent efforts have studied uncertainties affecting the duration of other types of projects, these efforts have overlooked construction renovation projects. Therefore, this study aims to evaluate the uncertainty factors affecting the duration of construction renovation projects.

In total, 226 responses from construction professionals were collected via a questionnaire survey on the impact of uncertainty factors on the duration of construction renovation projects. The subjective responses of experts from the industry were categorised using principal component analysis (PCA) before being exposed to objective analysis, assessment and modelling using a soft computing technique called fuzzy synthetic evaluation (FSE).

In total, 25 uncertainty factors were grouped as critical factors and were modelled. The PCA of the 25 critical uncertainty factors produced an 8-factor solution that grouped the uncertainty factors into 8 categories. The FSE modelling indicated that all eight groups are critical, but with varying levels of criticality on the duration of construction renovation projects.

The study provides a basis for a cost-effective uncertainty management guideline to avoid time overruns in construction projects. It also offers a platform for choosing among renovation projects to decide whether or not a project will overrun its time or not.

The study identified and established critical uncertainties affecting the duration of construction renovation projects, thus providing the first empirical multi-attribute objective uncertainty evaluation for the duration of construction renovation projects.

The use of technological innovations to effectively deliver construction projects is gaining significant coverage. This study aims to assess the inhibiting factors to the utilisation of laser scanners for the delivery of construction projects in developing economies using South Africa as the study area.

Adopting a quantitative technique, this study elicited responses from construction professionals using a questionnaire as the instrument for data collection. A four-pronged data analysis method was used, comprising descriptive statistics, Kruskal−Wallis h-test, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

Findings from the study show that lack of awareness and high cost of acquisition are the barriers rated by the study’s respondents the most. Also, findings from the EFA and CFA conducted showed and affirmed the significance of three constructs inhibiting factors to the utilisation of laser scanners for construction project delivery: technical hindrances, financial impediments and institutional challenges.

This study makes practical contributions to the discourse of using innovative technologies for effective construction project delivery by inhibiting factors to the use of laser scanners.

Evidence from the literature shows that no study has assessed the barriers to the utilisation of laser scanning technology for construction projects in the South African construction industry. This study strives to close this gap in the literature.

Restrictions imposed on freedom of movement and interaction with others due to the COVID-19 pandemic have had the effect of causing many people, especially students, to become addicted to social media. This study aims to investigate the effect of social media addiction on the academic performance of Sri Lankan government university students during the COVID-19 pandemic.

A convenience sampling technique was used to conduct a quantitative cross-sectional survey. The survey involved 570 respondents from nine state universities in Sri Lanka. The raw data from the completed questionnaires were coded and processed using SPSS for descriptive and inferential statistical analysis.

The findings of this study indicated that the overall time spent on social networking increased dramatically during COVID-19. Based on the results, this study found that there was no association between the time spent on social media and the academic performance of students before COVID-19 came on the scene. However, a significant association was found between the time spent on social media and students’ performance during the pandemic. The authors concluded that overblown social media use, leading to addiction, significantly negatively affects academic performance.

This study helps to understand the impact of social media use on the academic performance of students during COVID-19. Restrictions imposed by COVID-19 have changed the typical lifestyle of the students. Therefore, social media usage should be reassessed during the COVID-19 pandemic. The findings of the study will comprise these new insights, and they may well show how to adapt social media to contribute to academic work in meaningful ways.