What is he best known for?
The fields of study he is best known for:
- The Internet
- Artificial intelligence
- Operating system
Andrew B. Whinston mainly investigates Knowledge management, The Internet, Marketing, Incentive and Decision support system.
His biological study spans a wide range of topics, including Information technology, Outsourcing, Information asymmetry, Systems design and Process management.
His study on The Internet also encompasses disciplines like
- E-commerce together with Electronic data interchange and Word of mouth,
- Commerce which is related to area like Electronic business.
The Marketing study combines topics in areas such as Advertising and Product.
Andrew B. Whinston focuses mostly in the field of Incentive, narrowing it down to topics relating to Reputation and, in certain cases, Internet privacy.
His work carried out in the field of Decision support system brings together such families of science as Intelligent decision support system, Decision theory and Operations research.
His most cited work include:
- Do online reviews matter? - An empirical investigation of panel data (1100 citations)
- Frontiers of Electronic Commerce (838 citations)
- The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry (795 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Knowledge management, The Internet, Decision support system, Microeconomics and Marketing.
The various areas that Andrew B. Whinston examines in his Knowledge management study include Information technology and Process management.
His study ties his expertise on E-commerce together with the subject of The Internet.
His Decision support system research includes themes of Intelligent decision support system and Management science.
Incentive, Competition and Common value auction are the primary areas of interest in his Microeconomics study.
Decision engineering is a subfield of Decision analysis that he studies.
He most often published in these fields:
- Knowledge management (13.02%)
- The Internet (12.27%)
- Decision support system (10.89%)
What were the highlights of his more recent work (between 2011-2021)?
- Social media (3.13%)
- Incentive (6.51%)
- Microeconomics (10.64%)
In recent papers he was focusing on the following fields of study:
His main research concerns Social media, Incentive, Microeconomics, Data science and Social network.
His studies deal with areas such as Sentiment analysis, Competition, Advertising, Deep learning and Marketing as well as Social media.
In his study, which falls under the umbrella issue of Advertising, Valence and Product is strongly linked to Panel data.
Particularly relevant to Product is his body of work in Marketing.
His Microeconomics research incorporates elements of Contraction mapping and Revenue.
The study incorporates disciplines such as Computer security and Information security in addition to The Internet.
Between 2011 and 2021, his most popular works were:
- Whose and what chatter matters? The effect of tweets on movie sales (207 citations)
- Content sharing in a social broadcasting environment: evidence from twitter (156 citations)
- Content Contribution for Revenue Sharing and Reputation in Social Media: A Dynamic Structural Model (114 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Artificial intelligence
- Operating system
Social media, Social network, Advertising, Internet privacy and Microeconomics are his primary areas of study.
His study in Social media is interdisciplinary in nature, drawing from both Competition, Panel data, Function and Revenue sharing.
His work in the fields of Advertising, such as Word of mouth, intersects with other areas such as Point process.
His Word of mouth study also includes
- Marketing most often made with reference to Valence,
- Heuristics that connect with fields like Product.
His research integrates issues of Reputation, World Wide Web, Broadcasting, Interpersonal ties and Empirical research in his study of Internet privacy.
His Microeconomics research includes elements of Algorithmic trading, Revenue and Shareholder value.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
