Artificial intelligence research in management: A computational literature review

J Arsenyan, A Piepenbrink - IEEE Transactions on Engineering …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) spring of the past decade created an increased interest into the
topic in business as well as in academia. This resulted in an upward trend in academic …

A review of technological forecasting from the perspective of complex systems

L Feng, Q Wang, J Wang, KY Lin - Entropy, 2022 - mdpi.com
Technology forecasting (TF) is an important way to address technological innovation in fast-
changing market environments and enhance the competitiveness of organizations in …

Development of technology opportunity analysis based on technology landscape by extending technology elements with BERT and TRIZ

J Wang, Z Zhang, L Feng, KY Lin, P Liu - Technological Forecasting and …, 2023 - Elsevier
Technology opportunity analysis (TOA) has been the subject of many prior studies, most of
which have focused on deconstructing and restructuring the original knowledge structure in …

Technological forecasting based on estimation of word embedding matrix using LSTM networks

N Gozuacik, CO Sakar, S Ozcan - Technological Forecasting and Social …, 2023 - Elsevier
There are a vast number of quantitative and qualitative technological forecasting methods. In
the last decade, advanced quantitative technological forecasting methods based on the …

[HTML][HTML] Foresight and roadmapping methodology: Trends and outlook

Y Kishita - Форсайт, 2021 - cyberleninka.ru
This guest editorial article introduces the contextual and theoretical frameworks of foresight
and futures studies' methodologies. Outstanding questions relating to methodological …

Technology roadmap for the development of a 3D cell culture workstation for a biomedical industry startup

AG Ramos, T Daim, L Gaats, DW Hutmacher… - … Forecasting and Social …, 2022 - Elsevier
This paper is a first attempt to establish how technology roadmapping, commonly reserved
for established organizations, can be adapted for the characteristics and limitations of a …

A deep learning-based sentiment analysis approach for online product ranking with probabilistic linguistic term sets

Z Liu, H Liao, M Li, Q Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The probabilities linguistic term set (PLTS) is an efficient tool to represent sentimental
intensities hidden in unstructured text reviews that are useful for multicriteria online product …

What drives customer engagement in omnichannel retailing? The role of omnichannel integration, perceived fluency, and perceived flow

Y Li, X Gong - IEEE Transactions on Engineering Management, 2022 - ieeexplore.ieee.org
Omnichannel retailers are under intense pressure to harness synergetic management of
retail technologies and channels in order to promote customer engagement in the …

Predicting patent quality based on machine learning approach

Z Erdogan, S Altuntas, T Dereli - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The investment budget allocated by companies in R&D activities has increased due to
increased competition in the market. Applications for industrial property rights by countries …

A data-driven analysis of renewable energy management: a case study of wind energy technology

F Altuntas, MS Gok - Cluster Computing, 2023 - Springer
Renewable energy management is critical for obtaining a significant number of practical
benefits. Wind energy is one of the most important sources of renewable energy. It is …