We briefly review the main developments of Bayesian dynamic models. The emphasis is on marketing applications. Typical examples in this area are discussed. The concepts of …
TV Krishnan, S Feng, DC Jain - Journal of Business Research, 2023 - Elsevier
Managers dealing with new products need to forecast sales growth, especially the time at which the sales would reach the peak, known as the peak sales time (T*). In most cases …
X Wei, H Gong, L Song - Expert Systems with Applications, 2023 - Elsevier
The popularity of mobile social media has promoted the process of consumers accepting new products online, that is, online new product diffusion (ONPD). However, previous …
Z Han, Z Tang, B He - Technological Forecasting and Social Change, 2022 - Elsevier
Companies use celebrity accounts on microblogs to promote product information. Predicting the popularity of product information before publication is important for celebrity account …
Energy efficiency technologies (EETs) are crucial for saving energy and reducing carbon dioxide emissions. However, the diffusion of EETs in small and medium-sized enterprises is …
E Mitrică - Energy for Sustainable Development, 2023 - Elsevier
Due to greenhouse gas emissions and air pollution effects developing alternative energy sources in transportation activity is critical, under European Union (EU) targets. Compressed …
X Yan, H Hu - Computers & Industrial Engineering, 2023 - Elsevier
Manufacturers attach increasing importance to consumer word-of-mouth (WOM) as it assists them to improve demand forecasting and determine production capacity adjustment …
T Zhang, P Dong, Y Zeng, Y Ju - Journal of Business Research, 2022 - Elsevier
Intense innovation competition is increasing products' complexity. Consumers have to trade off among multiple product attributes before purchasing. Information technologies boost …
D Kang - Electronic Commerce Research, 2021 - Springer
This study aimed to develop a new diffusion model for box-office forecasting by modifying the generalized Bass diffusion model with incorporation of search trend data and historical …