A systematic literature review on green supply chain management: Research implications and future perspectives

UR de Oliveira, LS Espindola, IR da Silva… - Journal of cleaner …, 2018 - Elsevier
This article aims to present the Green Supply Chain Management (GSCM) practices from a
comprehensive point of view and to analyze the subject's behaviour in the last ten years …

Artificial intelligence in innovation: how to spot emerging trends and technologies

C Mühlroth, M Grottke - IEEE Transactions on Engineering …, 2020 - ieeexplore.ieee.org
Firms apply strategic foresight in technology and innovation management to detect
discontinuous changes early, to assess their expected consequences, and to develop a …

Fast fashion sales forecasting with limited data and time

TM Choi, CL Hui, N Liu, SF Ng, Y Yu - Decision Support Systems, 2014 - Elsevier
Fast fashion is a commonly adopted strategy in fashion retailing. Under fast fashion,
operational decisions have to be made with a tight schedule and the corresponding …

Topic-based technological forecasting based on patent data: A case study of Australian patents from 2000 to 2014

H Chen, G Zhang, D Zhu, J Lu - Technological Forecasting and Social …, 2017 - Elsevier
The study of technological forecasting is an important part of patent analysis. Although fitting
models can provide a rough tendency of a technical area, the trend of the detailed content …

The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems

A Breitzman, P Thomas - Research policy, 2015 - Elsevier
Emerging technologies are of great interest to a wide range of stakeholders, but identifying
such technologies is often problematic, especially given the overwhelming amount of …

Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study

J Kinne, J Axenbeck - Scientometrics, 2020 - Springer
Existing approaches to model innovation ecosystems have been mostly restricted to
qualitative and small-scale levels or, when relying on traditional innovation indicators such …

A systematic literature review of mining weak signals and trends for corporate foresight

C Mühlroth, M Grottke - Journal of Business Economics, 2018 - Springer
Due to the ever-growing amount of data, computer-aided methods and systems to detect
weak signals and trends for corporate foresight are in increasing demand. To this day, many …

Identification of technology development trends based on subject–action–object analysis: The case of dye-sensitized solar cells

X Wang, P Qiu, D Zhu, L Mitkova, M Lei… - … forecasting and social …, 2015 - Elsevier
Identification of technology development trends is essential for supporting decision makers
in forecasting and identifying related innovation activities and industrial growth. Different …

Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology

Y Cheng, L Huang, R Ramlogan, X Li - Technological Forecasting and …, 2017 - Elsevier
Disruptive technology introduces new competitive platforms, possesses the ability of
initiating new markets, and changes firms' technological competition status. Early …

A field-function methodology predicting the service lifetime of photovoltaic modules

W Liu, B Xu, Y Liu, S Li, W Yan - Renewable and Sustainable Energy …, 2024 - Elsevier
The service lifetime of photovoltaic (PV) modules is an essential basis for the business
investment and operation in PV power generation systems, with continuous distribution in …