Industry 4.0 Technologies and Sustainable Development Goals (SDGs): Covered Publications and Ranking DOI
Abrar Alhammadi, Concetta Semeraro, Khaled Obaideen

и другие.

Lecture notes in networks and systems, Год журнала: 2023, Номер unknown, С. 37 - 49

Опубликована: Янв. 1, 2023

Язык: Английский

Digital finance and rural revitalization: Empirical test and mechanism discussion DOI
Qiong Xu,

Meirui Zhong,

Yu Dong

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 201, С. 123248 - 123248

Опубликована: Фев. 3, 2024

Язык: Английский

Процитировано

34

IoT-based agriculture management techniques for sustainable farming: A comprehensive review DOI
Hammad Shahab, Muhammad Iqbal,

Ahmed Sohaib

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 220, С. 108851 - 108851

Опубликована: Март 26, 2024

Язык: Английский

Процитировано

30

Green growth: a bibliometric analysis of digital innovation and Sustainable Development Goals (SDGs) DOI Creative Commons
Hephzibah Beula John, Mini Agrawal, Priyanka Nema

и другие.

Journal of Innovation and Entrepreneurship, Год журнала: 2025, Номер 14(1)

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

2

Digital Economy, Factor Allocation, and Sustainable Agricultural Development: The Perspective of Labor and Capital Misallocation DOI Open Access

Xingmei Jia

Sustainability, Год журнала: 2023, Номер 15(5), С. 4418 - 4418

Опубликована: Март 1, 2023

As an emerging economy, the combination of digital economy and industrial development can lead to a variety new industries formats form momentum. This paper aims analyze how affects sustainable agricultural development, through what path, role factor allocation plays in this process. Based on analysis impact mechanism takes 30 provinces China from 2013 2020 as research object, builds panel data model mediation effect model, empirical analyses verifies study found that significantly promoted development. At national level, obvious promotion was achieved by reducing misallocation labor capital. regional eastern region depended optimization capital, but situation slightly different central western regions China. The improved factors. Although capital factors had positive it not significant. In order promote industry should be accelerated, market brought into play, better integrated with so realize modernization

Язык: Английский

Процитировано

23

Digital innovations: Implications for African agribusinesses DOI Creative Commons
Kingsley Kofi Arthur, Richard Kwasi Bannor, Jolly Masih

и другие.

Smart Agricultural Technology, Год журнала: 2024, Номер 7, С. 100407 - 100407

Опубликована: Янв. 26, 2024

Despite the agribusiness industry's potential, it is still characterised by a high level of conventional means production, denying numerous opportunities along value chain in Africa. Meanwhile, adopting modern production using digital innovations can boost farmers' efficiency. Given relevance within industry, current paper gives an overview particularly Africa, synthesising existing literature on to consolidate scattered ideas and give recommendations for practice future studies. The PRISMA technique was adopted synthesise 47 relevant articles from Scopus database. Bibliometric tools such as VOSviewer R-Package-Bibliometrix were used analyse data. From results, most papers African emanated journal with broader scope—Sustainability Journal (Switzerland). Most funding innovation studies sponsored foreign donors outside Continent, Consortium International Agricultural Research Centers France sponsoring research. Based publication synthesis trend publications, five themes, namely, agricultural chain, training skills development through innovations, finance agribusiness, precision innovations: survival, drivers adoption identified. marketing, have been profound though they are skewed towards few South, West, North countries. challenges Africa mainly social, economic, political, institutional factors. recommended that, since primarily governments, thus betraying commitment continent's readiness transform sector via technology, Governments, first, second, non-governmental organisations other should prioritise digitalisation agriculture integrating them into economic plans making resources available all actors upstream downstream.

Язык: Английский

Процитировано

12

Exploring uncharted territories of sustainable manufacturing: A cutting-edge AI approach to uncover hidden research avenues in green innovations DOI Creative Commons
Peter Madzík, Lukáš Falát, Neeraj Yadav

и другие.

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(3), С. 100498 - 100498

Опубликована: Май 19, 2024

Research on sustainable manufacturing is currently gaining momentum and becoming a dynamically developing field that considers green innovations (GI). However, rapid dynamics cause the entire to fragment into smaller topics with different research interests, impacts, development over time. This study aims create comprehensive scientific map of GI in by systematically processing 9376 documents retrieved from Scopus database. The results show this domain gained significant 2019, most studies published engineering business subject area. Latent Dirichlet Allocation was used identify 94 unique all abstracts. We classified five territories regarding their level systematization: uncharted (26 topics), discovering (23), expanding (15), well-recognized (19), marginal (11). least have potential for systematization are Resource-based Performance Modeling, Sustainability-oriented Performance, Supplier Decision Criteria Fuzzy Logic. related include Smart Technologies Industry 4.0, Green Supply Chain, Carbon Emission Reduction, Digital Transformation, last two having dynamic development. offer objective information wider discussion direction concept point areas may represent future directions concept.

Язык: Английский

Процитировано

12

Could Digital Literacy Contribute to the Improvement of Green Production Efficiency in Agriculture? DOI Creative Commons
Siyu Gong,

Z. Sun,

Bo Wang

и другие.

SAGE Open, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 1, 2024

The digital development in rural areas has become an important driving force for promoting green production agriculture. But the lack of skills among farmers remains a problem. main reason why cannot master well is their literacy, which leads to market information asymmetry and inability truly distinguish difference between traditional production. Based on this, this article uses field research methods collect data from 1,116 China, calculates agricultural efficiency using SBM model, empirically tests relationship farmers’ literacy results showed that significant effect efficiency. Secondly, it was found can effectively enhance cognition products technology adoption. Among them, reflected self-cognition cognition. adoption breadth depth Third, we discuss different dimensions five typical technologies used by further discussed. Although there are certain differences, overall, they all have effect. It necessary comprehensively improve bridge divide promote transformation

Язык: Английский

Процитировано

9

Adapting to Industry 4.0: evaluating SMEs preparedness through a comprehensive digital readiness assessment maturity model by validating stakeholders’ perceptions DOI
Love Kumar,

Rajiv Kumar Sharma

Business Process Management Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 20, 2025

Purpose In the digital transformation era, small and medium-sized enterprises (SMEs) in India face both opportunities challenges adopting Industry 4.0 (I4.0) technologies. To ensure successful I4.0 implementation, study aims to develop a readiness assessment model based on stakeholders’ perceptions. Design/methodology/approach This research adopts mixed-method framework comprehensive maturity assess of SMEs. The uses systematic literature review comprehend solution dimensions, followed by empirical validation dimensions through questionnaire survey hypothesis formulation. Findings is applied companies working four SME sectors, namely, automobile, machinery equipment, pharmaceutical agriculture. findings highlight necessity for sector-specific strategies enhance capabilities, addressing unique leveraging growth. Research limitations/implications proposed model, developed 14 41 prerequisites six levels, enables respondents SMEs make factual assessments their initiate efforts toward implementation. Originality/value uniquely combines expert insights, multi-dimensional rigorous statistical provide robust conceptual navigate journey effectively.

Язык: Английский

Процитировано

1

Digital transformation of the agricultural industry: Behavioral decision-making, influencing factors, and simulation practices in the Yunnan highlands DOI

Liyang Zhao,

Hong Chen,

Chunhui Wen

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 358, С. 120881 - 120881

Опубликована: Апрель 15, 2024

Язык: Английский

Процитировано

7

Agriculture in the face of new digitization technologies DOI Creative Commons
Marcjanna Wrzecińska, Ewa Czerniawska‐Piątkowska, I. Kowalewska-Łuczak

и другие.

UKRAINIAN BLACK SEA REGION AGRARIAN SCIENCE, Год журнала: 2023, Номер 27(3), С. 9 - 17

Опубликована: Июнь 21, 2023

Agriculture plays a vital role in food production, resource utilization, and employment but faces challenges from population growth, climate change, shortages. The development of information technology has significantly contributed to the industry's development, modern technologies such as artificial intelligence, Internet Things, computer vision, machine learning have revolutionized agricultural practices. purpose this review is explore adoption digital agriculture, with specific focus on their application livestock breeding. Through examination current literature utilization various research methods, contributes existing knowledge field. It established that latest tools allow collecting, analysing data, automating tasks supporting decision-making, which leads increased efficiency, management sustainable development. been proven play crucial increasing improving efficiency crop production. These include devices sensors, data analytics decision support systems, well systems for overall farm productivity assessment. Precision thanks automation, sensors learning, farmers monitor animal health, optimise feed consumption, detect diseases at early stages increase productivity. IT solutions agriculture facilitate processing, visualisation leading lower costs, greater improved security. study provides practical insights other stakeholders who can benefit accurate information, real-time monitoring automated processes through integration technologies, ultimately practices sustainability

Язык: Английский

Процитировано

14