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Data sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery forward. Given the importance of data sharing, the purpose of the study is to unveil the present scenario of research data repositories (RDR) and sheds light on strategies and tactics followed by different countries for efficient organization and optimal use of scientific literature.

The data for the study is collected from registry of RDR (re3data registry) (re3data.org), which covers RDR from different academic disciplines and provides filtration options “Search” and “Browse” to access the repositories. Using these filtration options, the researchers collected metadata of repositories i.e. country wise contribution, content-type data, repository language interface, software usage, metadata standards and data access type. Furthermore, the data was exported to Google Sheets for analysis and visualization.

The re3data registry holds a rich and diverse collection of data repositories from the majority of countries all over the world. It is revealed that English is the dominant language, and the most widely used software for the creation of data repositories are “DataVerse”, followed by “Dspace” and “MySQL”. The most frequently used metadata standards are “Dublin Core” and “Datacite metadata schema”. The majority of repositories are open, with more than half of the repositories being “disciplinary” in nature, and the most significant data sources include “scientific and statistical data” followed by “standard office documents”.

The main limitation of the study is that the findings are based on the data collected through a single registry of repositories, and only a few characteristic features were investigated.

The study will benefit all countries with a small number of data repositories or no repositories at all, with tools and techniques used by the top repositories to ensure long-term storage and accessibility to research data. In addition to this, the study provides a global overview of RDR and its characteristic features.

The purpose of this study is to investigate the current research data management practices among researchers in Ghana and their impact on data reuse and collaborative research. The study aims to identify the methods used by researchers to store and preserve their research data, as well as to determine the extent to which researchers share their data with others.

The study uses a mixed-method research strategy to blend qualitative and quantitative data and is conducted at two public and two private universities in Ghana.

The study revealed that researchers in Ghana currently store and preserve their research data using personal devices, such as laptops, CDs and external flash drives, rather than keeping the data in university data repositories. They also do not share their research data with others, which negatively affects collaborative research. The current practice of storing data on personal devices and not sharing data with others hinders collaborative research. The study recommends that universities in Ghana revise their research policy documents to address RDM-related issues such as data storage, data preservation, data sharing and data reuse.

The study was conducted at two public and two private universities in Ghana, but the findings were placed in a wider context through appropriate references.

This study emphasises the need for sound research data management procedures to support research collaboration and data reuse in Ghana. Universities should provide incentives to academics to disclose their data to encourage data sharing and collaboration.

The government and management of universities should consciously invest in the needed technologies and equipment to implement research data management in their universities.

This study looks at how researchers in Ghana manage their research data and how it affects data reuse and collaborative research.

The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.

This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.

The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.

Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.

Recently, Vietnamese enterprises have begun to realize the potential benefits of big data and harnessing all of the data they have been creating. Experiencing the crisis time of the COVID-19 pandemic, they could apprehend more and more benefits of digitalizing trend. However, a big problem for many Vietnamese enterprises is understanding where to begin in implementing big data and analytics. The study’s main objective is to investigate the impact factors of implementing big data and analytics in Vietnamese enterprises post-COVID-19 pandemic.

The study is exploratively conducted with a quantitative survey approach and uses purposive techniques in collecting data. The sample focuses on Vietnamese enterprises which have experience with big data and analytics.

This study intended to highlight some aspects to consider when implementing big data and analytics in Vietnamese enterprises post-COVID-19 pandemic.

To the best of the author’s knowledge, this study is the first academic paper to study Vietnamese enterprises’ considerations of big data and analytics post-COVID-19 pandemic.

This study aimed to develop a taxonomy of research areas in open government data (OGD) through a bibliometric mapping tool and a qualitative analysis software.

In this study, the authors extracted metadata of 442 documents from a bibliographic database. The authors used a bibliometric mapping tool for familiarization with the literature. After that, the authors used qualitative analysis software to develop taxonomy.

This paper developed taxonomy of OGD with three research areas: implementation and management, architecture, users and utilization. These research areas are further analyzed into seven topics and twenty-eight subtopics. The present study extends Charalabidis et al. (2016) taxonomy by adding two research topics, namely the adoption factors and barriers of OGD implementations and OGD ecosystems. Also, the authors include artificial intelligence in the taxonomy as an emerging research interest in the literature. The authors suggest four directions for future research: indigenous knowledge in open data, open data at local governments, development of OGD-specific theories and user studies in certain research themes.

Early career researchers and doctoral students can use the taxonomy to familiarize themselves with the literature. Also, established researchers can use the proposed taxonomy to inform future research. Taxonomy-building procedures in this study are applicable to other fields.

This study developed a novel taxonomy of research areas in OGD. Taxonomy building is significant because there is insufficient taxonomy of research areas in this discipline. Also, conceptual knowledge through taxonomy creation is a basis for theorizing and theory-building for future studies.

While the three lines model (TLM) provides an organizational structure to execute risk and control duties, research and practice show limitations in the model's implementation. These limitations result in governance issues. Such issues, together with control weaknesses, could be addressed by leveraging properties of distribution, transparency, and immutability of blockchain technology. To this end, in this paper the authors propose a conceptual control framework based on blockchain technology to augment control practice.

The design of the resulting blockchain-based control framework (BBCF) and its prototype, based on the design science research methodology (DSRM), is presented and discussed in terms of the potential impact in the context of the identified problems within the TLM.

One potential outcome of BBCF could be to redefine the scope and boundaries of some of the activities in audit and control practices from a more static to a more dynamic and prospective role. In a larger context of improving governance practices, the BBCF could set the path for a more inclusive and participatory interaction between the different governance actors of an organization.

However, this assumes that blockchain is more widely adopted despite its complexity and rigidity.

BBCF covering both a conceptual model design and a reference implementation provides an innovation in audit and control. BBCF could include all relevant stakeholders who have an interest in corporate governance and control activities, including the regulators.

The contribution intends to serve both as a starting point for discussing the evolution of audit and control practice based on blockchain technology, as well as an initial actionable prototype for experimentation and further development.

Idea of circular economy defies the classical “make-use-dispose” approach of linear economic model. In the context of health-care industry, it relies heavily on the supply chain practices implemented by industry stakeholders. The purpose of this study is to explore such relationships, study their structure and put it across for attaining sustainability at large.

This study is an empirical research conducted on 145 health-care firms. The collected data is analysed to develop structural and measurement model. The five constructed hypotheses are examined and tested through structural equation modelling.

The study illustrates the latent relationships that exist among the stakeholders involvement, sustainable supply chain practices, sustainable performance and circular economy for health-care industry. It is found that the adoption of sustainable supply chain practices improves health-care performance, which, in turn, have positive influence on circular economy.

The structural and measurement model is developed in the context of circular health-care economy. It can be validated or improvised by conducting similar research in other industry using different methods. This research work fulfils the long existing gap in research by offering a linkage between various constructs to achieve health-care circular economy. Based on the research results, future researchers can build theories of circular economy and sustainability for health-care industry.

The study attempts to study the supply chain ways to achieve circular economy for Indian health-care sector. It considered latent relationships among the set of constructs, which are needed for theory building at later stage.

Petroleum companies have various goals in light of high energy prices, uncertainty and potential fluctuations in demand in the current digital age, including making a profit while maintaining long-term sustainability and lowering their environmental impacts. The purpose of this paper is to explore the impact of technology management (TM) and its practices through process and maintenance technologies on sustainability performance (SP) for petroleum refineries and petrochemical companies in terms of economic, environmental and social sustainability.

A new proposed framework has been developed for a clearer understanding in relation to these aspects. The study was conducted among Egyptian refineries and petrochemical companies. A structured questionnaire was used to collect data from 65 petroleum experts and professionals, which was then summarized using statistical analysis, hypothesis testing and regression analysis.

The findings demonstrate that TM has a significant and direct impact on SP. Furthermore, the study shows that process technology (PT) has a positive influence on the three aspects of SP. Although maintenance technology has a positive impact on economic and environmental sustainability, it shows no direct effect on social sustainability.

The degree to which TM and sustainability principles are implemented across petroleum companies in various countries varies significantly because of managerial and cultural dimensions. Therefore, when conducting the research, it is important to consider the study’s geographical area to comprehend how these practices are impacted by the distinctive managerial and cultural settings of each country. Also, respondents in developing countries do not participate in such surveys with much enthusiasm.

The study shows that implementing TM practices generates more economic stability and ensures environmental and social sustainability. The research studied how PT and maintenance practices affected each aspect of sustainability. These findings can apply to all downstream oil companies, regardless of their size or type of operations. Further research can be conducted to examine the relationship between variables in other industries.

Decision-makers and managers may use the study's findings to improve their companies' performance and develop new plans and policies. The results demonstrate that companies will have a greater chance of achieving sustainable performance if they incorporate process and maintenance technologies into their activities. Besides economic and environmental sustainability, petroleum companies must strive for social sustainability.

The study is regarded as a significant contribution to the management of petroleum refineries and petrochemical companies, as it combined TM practices with SP in a single research framework. Industry executives and researchers can use this research as a guide that can be applied to all petroleum companies in the same country.

This study aims to analyze the relationship between toxic leadership and exit, prosocial voice, neglect and defensive silence. Second, this study investigates the mediating role of loyalty in these relationships.

A cross-sectional survey design with a sample of 544 individuals was used in this study.

The results suggested that toxic leadership positively influences exit, defensive silence and neglect and negatively influences prosocial voice. In addition, loyalty was found to be a partial mediator of the studied relationships.

This study addresses different theoretical debates, namely, loyalty as an attitude or behavior and its role in individuals’ responses and the relationship between silence and voice.

Neste estudo, pretendeu-se analisar a relação entre a liderança tóxica e a saída, voz prosocial, negligência e silêncio defensivo. Foi também investigado o papel mediador da lealdade nestas relações.

Foi realizado um estudo transversal com uma amostra de 544 participantes.

Os resultados sugerem que a liderança tóxica influência positivamente a saída, o silêncio defensivo e a negligência. Sugerem também uma influência negativa da liderança tóxica na voz prosocial. Adicionalmente, verificou-se que a lealdade é uma mediadora parcial nestas relações.

Este estudo aborda diferentes debates teóricos, nomeadamente a lealdade como atitude ou comportamento, o seu papel nas respostas dos indivíduos e a relação entre silêncio e voz.

En este estudio, nos proponemos analizar la relación entre el liderazgo tóxico y la salida, la voz prosocial, la negligencia y el silencio defensivo. En segundo lugar, investigamos el papel mediador de la lealtad en estas relaciones.

En este estudio se utilizó un diseño de encuesta transversal con una muestra de 544 individuos.

Los resultados sugirieron que el liderazgo tóxico influye positivamente en la salida, el silencio defensivo y la negligencia e influye negativamente en la voz prosocial. Además, la lealtad resultó ser un mediador parcial de las relaciones estudiadas.

Este estudio aborda diferentes debates teóricos, a saber, la lealtad como actitud o comportamiento y su papel en las respuestas de los individuos y la relación entre silencio y voz.

The massive expansion of digital platform has been responsible for the widespread progressive engagement created amongst learners and educators. The practice of requiring student feedback on online learning services ensures that teacher education continues to advance its strategic approach to online learning. This paper aims to examine the level of accessibility and adaptability of digital technology with particular focus on Malaysia, by elaborating the value of superior learning service and practical adaptability of online learning during the pandemic era.

This study was conducted using qualitative approach of data collection, namely via structured interview. The listed respondents included 30 higher learners who participated in the study by providing feedback on the issues encountered during the research process.

The findings revealed that the strategic enhancement of digital accessibility continued with digital adaptability to sources of learning services would contribute to advancing achievement of digital learning pathway.

Increasing accessibility to digital platforms in digital learning system can help to shape the digital environment. Digital expansion can create unlimited boundaries for online knowledge acquisition.

The social implication refers to acquiring the abilities developed through online engagement with peers by actualising and exploring information together with continuous inter-connectedness of sharing pathway in online platform. The instructor would need to give a proportional gateway to make learners experience the digital environment for future education.

This study aims to assess the value of developing accessibility of digital technology for students' online learning services during the pandemic and beyond. A well-structured plan would enable digital learning capabilities and mutual accessibility amongst learners. This can allow digital abilities to be transformed into collaborative teamwork amongst learners.