Agriculture Data Sharing Review DOI Creative Commons
Jorge Chamorro-Padial, Jordi Virgili‐Gomà, Rosa Gil

и другие.

Heliyon, Год журнала: 2024, Номер 11(1), С. e41109 - e41109

Опубликована: Дек. 27, 2024

This study conducts a bibliometric analysis of 252 scientific publications from 2001 to 2023, exploring the evolution and emerging trends in agricultural data spaces. Analyzing articles Web Science Scopus databases, we address six research questions: current interconnected key topics spaces (RQ1), themes over time (RQ2), field (RQ3), identification leading researchers (RQ4), primary funding sources for this area (RQ5), relationship among small farmers (RQ6). Our findings reveal shift traditional innovative themes, such as increasing focus on Internet Things (IoT), Blockchain, Digital Storage. indicates trend toward modernizing practices through technology. We found that rise these is not correlated with results shown by Google Scholar same terms but economic impact areas. Prominent authors significant sources, including European Union, United States Department Agriculture, Chinese programs, have been identified, proving global interest investment digitalization agriculture. continue our identifying some barriers prevent using or sharing data, them cultural contexts, lack trust providers, ignorance conditions. offers valuable insights researchers, policymakers, practitioners, focusing dynamic landscape potential future innovations fields like analytics Artificial Intelligence, Things, digital divide farming platforms. emphasize necessity targeted policy interventions support mechanisms bridge gap enable medium benefit advancements digitization.

Язык: Английский

Empirical Insights Into Remote Work-Integrated Learning DOI Open Access

Saud saad AL-baqami,

Mohammed Alzubaidi,

Alhassan Y. Almanakhrah

и другие.

Journal of Global Information Management, Год журнала: 2025, Номер 33(1), С. 1 - 36

Опубликована: Апрель 19, 2025

The aim of this study is to identify and empirically validate the factors that increase students' engagement in remote work-integrated learning (WIL). technology interactivity model was considered an appropriate theoretical foundation for proposing conceptual study. Four i.e. interactivity, customisation, active control, synchronicity were derived as key predictors student's engagement. This also extended by considering two from social identity theory: personal identity. necessary data collecting using online questionnaire with a purposive sample students at different levels educational backgrounds. Statistical findings largely approved impact identity, control WIL. Results supported moderating effects telepresence presence on relationships between independent factors:

Язык: Английский

Процитировано

0

Data-Analyst Job Demands and Their Relationship With Economic Strength in the United States DOI Open Access
Taowen Le, Jin Zhang, Jianyao Chen

и другие.

Journal of Global Information Management, Год журнала: 2025, Номер 33(1), С. 1 - 20

Опубликована: Май 17, 2025

As more and organizations recognize the importance of data analytics, academic departments professional training programs engage in future analysts. However, not all geographical regions, states, or business industries have same level demand for Based on over 2,500 data-analyst job advertisements posted LinkedIn utilizing Chi Square Wilcoxon tests, this study examined which United States most least analysts; it also explored possible relationship between a state's analysts its economic strength. Among many findings, discovered that larger strength growth, stronger

Язык: Английский

Процитировано

0

Entrepreneurial Skill Augmented Neural Network (ESANN): A Deep Learning Approach for Enhancing Entrepreneurial Competencies in Teachers DOI Creative Commons
Jian Li

International Journal of Computational Intelligence Systems, Год журнала: 2025, Номер 18(1)

Опубликована: Май 27, 2025

Язык: Английский

Процитировано

0

Agriculture Data Sharing Review DOI Creative Commons
Jorge Chamorro-Padial, Jordi Virgili‐Gomà, Rosa Gil

и другие.

Heliyon, Год журнала: 2024, Номер 11(1), С. e41109 - e41109

Опубликована: Дек. 27, 2024

This study conducts a bibliometric analysis of 252 scientific publications from 2001 to 2023, exploring the evolution and emerging trends in agricultural data spaces. Analyzing articles Web Science Scopus databases, we address six research questions: current interconnected key topics spaces (RQ1), themes over time (RQ2), field (RQ3), identification leading researchers (RQ4), primary funding sources for this area (RQ5), relationship among small farmers (RQ6). Our findings reveal shift traditional innovative themes, such as increasing focus on Internet Things (IoT), Blockchain, Digital Storage. indicates trend toward modernizing practices through technology. We found that rise these is not correlated with results shown by Google Scholar same terms but economic impact areas. Prominent authors significant sources, including European Union, United States Department Agriculture, Chinese programs, have been identified, proving global interest investment digitalization agriculture. continue our identifying some barriers prevent using or sharing data, them cultural contexts, lack trust providers, ignorance conditions. offers valuable insights researchers, policymakers, practitioners, focusing dynamic landscape potential future innovations fields like analytics Artificial Intelligence, Things, digital divide farming platforms. emphasize necessity targeted policy interventions support mechanisms bridge gap enable medium benefit advancements digitization.

Язык: Английский

Процитировано

0