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1-8 of 8
Keywords: Artificial neural network
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Journal Articles
Exploring the synergy between R&D and advertising and firm performance: a neural network approach
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Benchmarking: An International Journal (2023) 30 (5): 1672–1694.
Published: 07 June 2022
... Publishing Limited Licensed re-use rights only Advertising Artificial neural network Research and development Synergy Specifically, R&D enhances a firm's performance by two means: through the provision of innovative goods and attractive services, as a result of product and process...
Journal Articles
The incident effects of supply chain and cloud computing integration on the business performance: An integrated SEM-ANN approach
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Benchmarking: An International Journal (2018) 25 (8): 2688–2722.
Published: 29 November 2018
... and business performance of the organisation in the Indian context. Design/methodology/approach A two-stage, structural equation modelling (SEM) and artificial neural network (ANN) methodology are employed for the analysis, and for verifying the robustness of the developed model sensitivity analysis...
Journal Articles
A comparative study of classifier techniques for lift index data analysis
Available to Purchase
Benchmarking: An International Journal (2018) 25 (2): 632–641.
Published: 05 March 2018
.... high-risk and low-risk task. The classified task is considered to analyze the performance of different tools like Artificial Neural Network (ANN), discriminant analysis (DA) and support vector machines (SVMs). Findings The work clearly demonstrates the accuracy and computational ability of ANN, DA...
Journal Articles
A hybrid grey based artificial neural network and C&R tree for project portfolio selection
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Benchmarking: An International Journal (2017) 24 (3): 651–665.
Published: 03 April 2017
...Farshad Faezy Razi; Seyed Hooman Shariat Purpose The purpose of this paper is twofold: the selection of project portfolios through hybrid artificial neural network algorithms, feature selection based on grey relational analysis, decision tree and regression; and the identification of the features...
Journal Articles
Better practice prediction using neural networks: an application to the smartphone industry
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Benchmarking: An International Journal (2016) 23 (3): 519–539.
Published: 04 April 2016
...He-Boong Kwon; James Jungbae Roh; Nicholas Miceli Purpose – The purpose of this paper is to develop an artificial neural network (ANN) based prediction model via integration with data envelopment analysis (DEA) to provide the means of predicting incremental performance goals. The findings confirm...
Journal Articles
Best performance modeling using complementary DEA-ANN approach: Application to Japanese electronics manufacturing firms
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Benchmarking: An International Journal (2016) 23 (3): 704–721.
Published: 04 April 2016
...He-Boong Kwon; Jooh Lee; James Jungbae Roh Purpose – The purpose of this paper is to design an innovative performance modeling system by jointly using data envelopment analysis (DEA) and artificial neural network (ANN). The hybrid DEA-ANN model integrates performance measurement and prediction...
Journal Articles
Benchmarking the efficiencies of Indonesia’s municipal water utilities using Stackelberg data envelopment analysis
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Benchmarking: An International Journal (2015) 22 (4): 588–609.
Published: 05 May 2015
...-stage Stackelberg leader-follower data envelopment analysis (DEA) and artificial neural networks (ANN) were employed. Findings – Given that serviceability was treated as the leader and profitability as the follower, the first and second stage DEA scores were 55 and 32 percent (0 percent = totally...
Journal Articles
Performance modeling of mobile phone providers: a DEA-ANN combined approach
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Benchmarking: An International Journal (2014) 21 (6): 1120–1144.
Published: 30 September 2014
...He-Boong Kwon Purpose – The purpose of this paper is to investigate the feasibility of using artificial neural networks (ANNs) in conjunction with data envelopment analysis (DEA) for the performance measurement of major mobile phone providers, and for subsequent predictions related to best...
