Artificial intelligence (AI) applications for marketing: A literature-based study

International Journal of Intelligent Networks, Год журнала: 2022, Номер 3, С. 119 - 132

Опубликована: Янв. 1, 2022

Artificial Intelligence (AI) has vast potential in marketing. It aids proliferating information and data sources, improving software's management capabilities, designing intricate advanced algorithms. AI is changing the way brands users interact with one another. The application of this technology highly dependent on nature website type business. Marketers can now focus more customer meet their needs real time. By using AI, they quickly determine what content to target customers which channel employ at moment, thanks collected generated by its Users feel ease are inclined buy offered when used personalise experiences. tools also be analyse performance a competitor's campaigns reveal customers' expectations. Machine Learning (ML) subset that allows computers interpret without being explicitly programmed. Furthermore, ML assists humans solving problems efficiently. algorithm learns improves accuracy as fed into algorithm. For research, relevant articles marketing identified from Scopus, Google scholar, researchGate other platforms. Then these were read, theme paper was developed. This attempts review role specific applications various segments transformations for sectors examined. Finally, critical recognised analysed.

Язык: Английский

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Blockchain—Internet of Things Applications: Opportunities and Challenges for Industry 4.0 and Society 5.0

Sensors, Год журнала: 2023, Номер 23(2), С. 947 - 947

Опубликована: Янв. 13, 2023

Today, blockchain is becoming more popular in academia and industry because it a distributed, decentralised technology which changing many industries terms of security, building trust, etc. A few applications are banking, insurance, logistics, transportation, Many insurance companies have been thinking about how could help them be efficient. There still lot hype this immutable technology, even though has not utilised to its full potential. Insurers decide whether or use blockchain, just like other businesses do. This keeps distributed ledger on each node, making secure transparent. The network can operate smart contracts convince others agree, so criminals cannot make mistakes. On another side, the Internet Things (IoT) might real-time application work faster through automation. With integration IoT, there will always problem with regarding IoT devices mining blockchain. paper gives view blockchain-IoT-based for Industry 4.0 Society 5.0. last sections discuss essential topics such as open issues, challenges, research opportunities future researchers expand applications.

Язык: Английский

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Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions

Technological Forecasting and Social Change, Год журнала: 2023, Номер 192, С. 122579 - 122579

Опубликована: Апрель 21, 2023

Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With proliferation digital computing devices emergence big data, AI increasingly offering significant opportunities for society business organizations. The growing interest scholars practitioners in has resulted diversity research topics explored bulks scholarly literature published leading outlets. This study aims map intellectual structure evolution conceptual overall Technological Forecasting Social Change (TF&SC). uses machine learning-based structural topic modeling (STM) extract, report, visualize latent from literature. Further, disciplinary patterns examined with additional objective assessing impact AI. results reveal eight key topics, out which concerning healthcare, circular economy sustainable supply chain, adoption by consumers, decision-making showing rising trend over years. influence on disciplines such as management, accounting, social science, engineering, computer mathematics. provides an insightful agenda future based evidence-based directions would benefit identify contemporary issues develop impactful solve complex societal problems.

Язык: Английский

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Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility

International Journal of Information Management, Год журнала: 2022, Номер 67, С. 102544 - 102544

Опубликована: Июль 23, 2022

Язык: Английский

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Food quality 4.0: From traditional approaches to digitalized automated analysis

Journal of Food Engineering, Год журнала: 2022, Номер 337, С. 111216 - 111216

Опубликована: Авг. 1, 2022

Язык: Английский

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Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing

Oeconomia Copernicana, Год журнала: 2022, Номер 13(4), С. 1047 - 1080

Опубликована: Дек. 30, 2022

Research background: With increasing evidence of cognitive technologies progressively integrating themselves at all levels the manufacturing enterprises, there is an instrumental need for comprehending how systems can provide increased value and precision in complex operational processes. Purpose article: In this research, prior findings were cumulated proving that integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial creation, digitized mass production. Methods: Throughout April June 2022, by employing Preferred Reporting Items Systematic Reviews Meta-analysis (PRISMA) guidelines, a quantitative literature review ProQuest, Scopus, Web Science databases was performed, with search terms including ?cognitive Industrial Internet Things?, automation?, systems?, ?cognitively-enhanced machine?, technology-driven computing technologies,? technologies.? The Review Data Repository (SRDR) leveraged, software program collecting, processing, analysis our research. quality selected scholarly sources evaluated harnessing Mixed Method Appraisal Tool (MMAT). AMSTAR (Assessing Methodological Quality Reviews) deployed intelligence intelligent workflows, Dedoose used mixed methods VOSviewer layout algorithms Dimensions bibliometric mapping served as visualization tools. Findings & added: Cognitive developed on product lifecycle management, Things-based production logistics, deep learning-assisted smart process planning, optimizing creation capabilities algorithms. Subsequent interest should be oriented to predictive maintenance assist use

Язык: Английский

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Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions

Annals of Operations Research, Год журнала: 2022, Номер 327(2), С. 633 - 657

Опубликована: Ноя. 1, 2022

Abstract Fake news and disinformation (FNaD) are increasingly being circulated through various online social networking platforms, causing widespread disruptions influencing decision-making perceptions. Despite the growing importance of detecting fake in politics, relatively limited research efforts have been made to develop artificial intelligence (AI) machine learning (ML) oriented FNaD detection models suited minimize supply chain (SCDs). Using a combination AI ML, case studies based on data collected from Indonesia, Malaysia, Pakistan, we developed model aimed at preventing SCDs. This multiple sources has shown evidence its effectiveness managerial decision-making. Our study further contributes AI-ML literature, provides practical insights, points future directions.

Язык: Английский

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Plant development and crop protection using phytonanotechnology: A new window for sustainable agriculture

Chemosphere, Год журнала: 2022, Номер 299, С. 134465 - 134465

Опубликована: Март 30, 2022

Язык: Английский

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A new method of patent analysis to support prospective life cycle assessment of eco-design solutions

Sustainable Production and Consumption, Год журнала: 2023, Номер 38, С. 241 - 251

Опубликована: Апрель 23, 2023

Язык: Английский

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A systematic review of the application of immersive technologies for safety and health management in the construction sector

Journal of Safety Research, Год журнала: 2023, Номер 85, С. 66 - 85

Опубликована: Янв. 31, 2023

The construction industry employs about 7% of global manpower and contributes 6% to the economy. However, statistics have depicted that significantly workplace fatalities injuries despite multiple interventions (including technological applications) implemented by governments companies. Recently, immersive technologies as part a suite 4.0 technologies, also strongly emerged viable pathway help address poor occupational safety health (OSH) performance.With aim gaining broad view different OSH issues addressed using review on application for management is conducted preferred reporting items systematic reviews meta-analysis (PRISMA) approach bibliometric analysis literature. This resulted in evaluation 117 relevant papers collected from three online databases (Scopus, Web Science, Engineering Village).The revealed literature focused various hazard identification visualization, training, design safety, risk perception, assessment works. identified several limitations regarding use which include low level adoption developed industry, very limited research hazards, focus comparison effectiveness management.For future research, it recommended identify possible reasons transition practice proffer solutions issues. Another recommendation study addressing hazards conventional methods.

Язык: Английский

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