The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions

2021 ◽  
pp. 1-1
Author(s):  
Senthil Kumar Jagatheesaperumal ◽  
Mohamed Rahouti ◽  
Kashif Ahmad ◽  
Ala Al-Fuqaha ◽  
Mohsen Guizani
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Industry 4.0 ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions

scholarly journals Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

2020 ◽  
Vol 47 (5) ◽  
pp. 577-597 ◽  
Author(s):  
Ziaul Haque Munim ◽  
Mariia Dushenko ◽  
Veronica Jaramillo Jimenez ◽  
Mohammad Hassan Shakil ◽  
Marius Imset
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Future Research ◽  
Maritime Industry ◽  
Research Directions ◽  
Bibliometric Review ◽  
Future Research Directions

scholarly journals Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research

2020 ◽  
Vol 12 (10) ◽  
pp. 4108 ◽  
Author(s):  
Ricardo Chalmeta ◽  
Nestor J. Santos-deLeón
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Research Directions ◽  
Systematic Analysis ◽  
Different Types ◽  
Future Research Directions ◽  
Insight Into

Supply chain sustainability (SCS) in the age of Industry 4.0 and Big Data is a growing area of research. However, there are no systematic and extensive studies that classify the different types of research and examine the general trends in this area of research. This paper reviews the literature on sustainability, Big Data, Industry 4.0 and supply chain management published since 2009 and provides a thorough insight into the field by using bibliometric and network analysis techniques. A total of 87 articles published in the past 10 years were evaluated and the top contributing authors, countries, and key research topics were identified. Furthermore, the most influential works based on citations and PageRank were obtained and compared. Finally, six research categories were proposed in which scholars could be encouraged to expand Big Data and Industry 4.0 research on SCS. This paper contributes to the literature on SCS in the age of Industry 4.0 by discussing the challenges facing current research but also, more importantly, by identifying and proposing these six research categories and future research directions.

scholarly journals Product-service systems evolution in the era of Industry 4.0

2021 ◽  
Vol 15 (1) ◽  
pp. 177-207
Author(s):  
Paolo Gaiardelli ◽  
Giuditta Pezzotta ◽  
Alice Rondini ◽  
David Romero ◽  
Farnaz Jarrahi ◽  
...  
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Future Research ◽  
Research Directions ◽  
Future Scenario ◽  
Product Service ◽  
Economic Transformations ◽  
Value Propositions ◽  
Future Research Directions ◽  
Product Service Systems

AbstractRecent economic transformations have forced companies to redefine their value propositions, increasing traditional product offerings with supplementary services—the so-called Product-Service System (PSS). Among them, the adoption of Industry 4.0 technologies is very common. However, the directions that companies are undertaking to offer new value to their customers in the Industry 4.0 have not yet been investigated in detail. Based on a focus group, this paper contributes to this understanding by identifying the main trajectories that would shape a future scenario in which PSS and Industry 4.0 would merge. In addition, future research directions addressing (a) the transformation of the PSS value chain into a PSS ecosystem, (b) the transformation inside a single company towards becoming a PSS provider, and (c) the digital transformation of the traditional PSS business model are identified.

Future Research Directions in E-Tourism Studies

Big Data ◽  
2016 ◽  
pp. 2368-2387
Author(s):  
Hajime Eto
Keyword(s):  
Big Data ◽  
Future Research ◽  
Research Directions ◽  
Scientific Methods ◽  
Tourism Studies ◽  
The Future ◽  
Future Research Directions ◽  
And Behaviors ◽  
Public Voice

As this book has the limited numbers of chapters and pages, many important issues remain unanalyzed. This chapter picks up and roughly discusses some of them for the future analyses in more analytical ways. The focuses are placed on how to apply the data scientific methods to the analyses of public voice, claims and behaviors of tourists, customers and the general publics by using the big data already acquired and stored somewhere.

Artificial Intelligence Review

2019 ◽  
pp. 23-39
Author(s):  
Amal Kilani ◽  
Ahmed Ben Hamida ◽  
Habib Hamam
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Intelligent System ◽  
Route Planning ◽  
Turing Test ◽  
Future Research ◽  
Interaction Data ◽  
Research Directions ◽  
Future Research Directions

In this chapter, the authors present a profound literature review of artificial intelligence (AI). After defining it, they briefly cover its history and enumerate its principal fields of application. They name, for example, information system, commerce, image processing, human-computer interaction, data compression, robotics, route planning, etc. Moreover, the test that defines an artificially intelligent system, called the Turing test, is also defined and detailed. Afterwards, the authors describe some AI tools such as fuzzy logic, genetic algorithms, and swarm intelligence. Special attention will be given to neural networks and fuzzy logic. The authors also present the future research directions and ethics.

Artificial Intelligence

2019 ◽  
pp. 13-22
Author(s):  
Steven Walczak
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Intelligent Machines ◽  
History Of ◽  
Future Research Directions ◽  
New Research

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow, well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.

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