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  • Search: subject:"Firm learning"
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Year of publication
Subject
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firm learning 7 Cooperation 4 Firm learning 4 Learning organization 4 Lernende Organisation 4 Inter-firm learning 3 Artificial Neural Networks 2 Artificial neural networks 2 Beziehungsmarketing 2 Customer value 2 Dynamic capabilities 2 Learning process 2 Lernprozess 2 Prisoner's Dilemma 2 Prisoner’s Dilemma 2 Relationship marketing 2 Wine supply network 2 creative destruction 2 job turnover 2 regional and urban growth 2 Alliance Performance 1 Alliances 1 Bank lending 1 Business and Economics 1 Business network 1 Buyer-supplier relationship 1 Buyer–supplier relationship 1 Communication 1 Complex Dynamics 1 Consumer behaviour 1 Crowdfunding 1 Customer satisfaction 1 Digital platform 1 Digitale Plattform 1 Dynamische Kompetenzen 1 Emerging economies 1 Firm Resources 1 Firm growth 1 Firm performance 1 Individual Values 1
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Online availability
All
Free 14
Type of publication
All
Book / Working Paper 10 Article 3 Other 1
Type of publication (narrower categories)
All
Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2 Arbeitspapier 1 Article 1 Hochschulschrift 1 Working Paper 1
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Language
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English 8 Undetermined 6
Author
All
Barr, Jason 6 Saraceno, Francesco 6 Contò, Francesco 2 Faberman, R. Jason 2 La Sala, Piermichele 2 Silvestri, Raffaele 2 Anderson, Stephen J. 1 Chintagunta, Pradeep K. 1 Harabi, Najib 1 Kaul, Rupali 1 Liu, Xinyuan 1 Nasiri, Mohammada Nasir 1 Vilcassim, Naufel 1 Wei, Zaiyan 1 Xiao, Mo 1
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Institution
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Department of Economics, Sciences économiques 2 Sciences économiques, Sciences Po 2 Department of Economics, Rutgers University-Newark 1 Society for Computational Economics - SCE 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1 William Davidson Institute, University of Michigan 1
Published in...
All
Sciences Po Economics Discussion Papers 2 Sciences Po publications 2 Agricultural and Food Economics 1 Agricultural and Food Economics : AFE 1 Computing in Economics and Finance 2002 1 Dissertation Series CentER 1 MPRA Paper 1 Marketing science 1 William Davidson Institute Working Papers Series 1 Working Papers Rutgers University, Newark 1 Working papers / Department of Economics, Eller College 1
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Source
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RePEc 8 ECONIS (ZBW) 4 BASE 1 EconStor 1
Showing 1 - 10 of 14
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Call me maybe : does customer feedback seeking impact nonsolicited customers?
Kaul, Rupali; Anderson, Stephen J.; Chintagunta, Pradeep K. - In: Marketing science 44 (2025) 1, pp. 129-154
Persistent link: https://www.econbiz.de/10015197212
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Essays on the impact of different forms of collaborative R&D on innovation and technological change
Nasiri, Mohammada Nasir - 2020
Persistent link: https://www.econbiz.de/10012266763
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Platform mispricing and lender learning in peer-to-peer lending
Liu, Xinyuan; Wei, Zaiyan; Xiao, Mo - 2018
Persistent link: https://www.econbiz.de/10012030543
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Differentiation strategies for the wine and nursery sector: empirical evidence from an Italy region
La Sala, Piermichele; Silvestri, Raffaele; Contò, Francesco - In: Agricultural and Food Economics 5 (2017) 23, pp. 1-17
The aim of the paper is to analyze how the dynamic capabilities of the wine industry actors, involved in searching for biodiversity, influence and are influenced by the dyadic buyer-supplier relationship. In particular, the study aims at analyzing how the organizational culture, the strategic...
Persistent link: https://www.econbiz.de/10011850199
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Differentiation strategies for the wine and nursery sector : empirical evidence from an Italy region
La Sala, Piermichele; Silvestri, Raffaele; Contò, Francesco - In: Agricultural and Food Economics : AFE 5 (2017) 23, pp. 1-17
The aim of the paper is to analyze how the dynamic capabilities of the wine industry actors, involved in searching for biodiversity, influence and are influenced by the dyadic buyer–supplier relationship. In particular, the study aims at analyzing how the organizational culture, the strategic...
Persistent link: https://www.econbiz.de/10011771003
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Cover Image
Organization, learning and cooperation
Barr, Jason; Saraceno, Francesco - Sciences économiques, Sciences Po - 2009
This paper models the organization of the firm as a type of artificial neural network in a duopoly setting. The firm plays a repeated Prisoner’s Dilemma type game, and must also learn to map environmental signals to demand parameters and to its rival’s willingness to cooperate. We study the...
Persistent link: https://www.econbiz.de/10010812142
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Organization, learning and cooperation
Barr, Jason; Saraceno, Francesco - Department of Economics, Sciences économiques - 2009
This paper models the organization of the firm as a type of artificial neural network in a duopoly setting. The firm plays a repeated Prisoner’s Dilemma type game, and must also learn to map environmental signals to demand parameters and to its rival’s willingness to cooperate. We study the...
Persistent link: https://www.econbiz.de/10010756456
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Modeling the Firm as an Artificial Neural Network
Barr, Jason; Saraceno, Francesco - Department of Economics, Rutgers University-Newark - 2005
The purpose of this chapter is two-fold: (1) to make the case that a standard backward propagation artificial neural network (ANN) can be used as a general model of the information processing activities of the firm, and (2) to present a synthesis of Barr and Saraceno (BS) (2002, 2004, 2005), who...
Persistent link: https://www.econbiz.de/10005519051
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Cover Image
Organization, Learning and Cooperation
Barr, Jason; Saraceno, Francesco - Sciences économiques, Sciences Po - 2004
This paper models the organization of the firm as a type of artificial neural network in a duopoly setting. The firm plays a repeated Prisoner’s Dilemma type game, but must also learn to map environmental signals to demand parameters and to its rival’s willingness to cooperate. We study the...
Persistent link: https://www.econbiz.de/10010929050
Saved in:
Cover Image
Organization, Learning and Cooperation
Barr, Jason; Saraceno, Francesco - Department of Economics, Sciences économiques - 2004
We model the organization of the firm as a type of artificial neural network in a duopoly framework. The firm plays a repeated Prisoner's Dilemma type game, but also must learn to map environmental signals to demand parameters. We study the prospects for cooperation given the need for the firm...
Persistent link: https://www.econbiz.de/10010756758
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