Bogumił Kamiński
(Bogumil Kaminski)

Personal Details

First Name:	Bogumil
Middle Name:
Last Name:	Kaminski
Suffix:
RePEc Short-ID:	pka509
	[This author has chosen not to make the email address public]
	http://bogumilkaminski.pl/about/

Affiliation

Zakład Wspomagania i Analizy Decyzji
Szkoła Główna Handlowa w Warszawie

Warszawa, Poland
http://www.sgh.waw.pl/instytuty/zwiad/
RePEc:edi:iewawpl (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Aluchna, Maria & Roszkowska-Menkes, Maria & Kamiński, Bogumił, 2023. "From talk to action: The effects of the non-financial reporting directive on ESG performance," Other publications TiSEM da683a11-bb44-4ea8-969c-f, Tilburg University, School of Economics and Management.

   Cited by:

   1. Serhiy Zabolotnyy, 2024. "Investigating the Nexus Between Energy Transition Reporting Practices and Corporate Efficiency in the European Agri-Food Sector," Energies, MDPI, vol. 17(21), pages 1-19, November.
   2. Urska Kosi & Paula Relard, 2024. "Are firms (getting) ready for the corporate sustainability reporting directive?," Sustainability Nexus Forum, Springer, vol. 32(1), pages 1-14, December.
   3. Anastasia O. Volodina & Marina B. Trachenko, 2024. "Financial Indicators of Value Dynamics of ESG-oriented Companies in China," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 88-103, April.

2. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2017. "Mapping the Dimensions of Social Capital," KAE Working Papers 2017-025, Warsaw School of Economics, Collegium of Economic Analysis.

   Cited by:

   1. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," KAE Working Papers 2017-026, Warsaw School of Economics, Collegium of Economic Analysis.
      • Jakub Growiec & Bogumił Kamiński & Katarzyna Growiec, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," EcoMod2017 10279, EcoMod.
   2. Irene Daskalopoulou, 2019. "Individual-Level Evidence on the Causal Relationship Between Social Trust and Institutional Trust," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 275-298, July.
   3. Mindaugas Laužikas & Mindaugas Laužikas & Aistė Miliūtė & Aistė Miliūtė, 2019. "Transformational Communication via Evolving Ethical and Moral Norms of Lithuanian Civil Service Organizations," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 1750-1761, June.
   4. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2018. "Social Network Dynamics: Individual-Level Mechanisms and Aggregate Outcomes," KAE Working Papers 2018-036, Warsaw School of Economics, Collegium of Economic Analysis.
   5. Katarzyna Growiec & Jakub Growiec & Bogumił Kamiński, 2020. "Emergence of Small-World Networks in an Overlapping-Generations Model of Social Dynamics, Trust and Economic Performance," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-8.

3. Jakub Growiec & Bogumił Kamiński & Katarzyna Growiec, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," EcoMod2017 10279, EcoMod.
   • Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," KAE Working Papers 2017-026, Warsaw School of Economics, Collegium of Economic Analysis.

   Cited by:

   1. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2018. "Social Network Dynamics: Individual-Level Mechanisms and Aggregate Outcomes," KAE Working Papers 2018-036, Warsaw School of Economics, Collegium of Economic Analysis.

Articles

1. Maria Aluchna & Maria Roszkowska-Menkes & Bogumił Kamiński, 2022. "From talk to action: the effects of the non-financial reporting directive on ESG performance," Meditari Accountancy Research, Emerald Group Publishing Limited, vol. 31(7), pages 1-25, November.

   Cited by:

   1. Marco Papa & Monika Wieczorek-Kosmala & Anna Losa & Aleksandra Swałek, 2024. "The Impact of ESG Regulation on Environmental Decoupling—An Exploratory Study on Polish Listed Companies," Sustainability, MDPI, vol. 16(17), pages 1-11, August.

2. Aluchna, Maria & Roszkowska-Menkes, Maria & Kamiński, Bogumił & Bosek-Rak, Dominika, 2022. "Do institutional investors encourage firm to social disclosure? The stakeholder salience perspective," Journal of Business Research, Elsevier, vol. 142(C), pages 674-682.

   Cited by:

   1. Rayed Obaid Hammoud Alobaid & Ameen Qasem & Adel Ali Al-Qadasi, 2024. "Corporate Social Responsibility, Ownership Structure, and Firm Investment Efficiency: Evidence from the Saudi Stock Market," Sustainability, MDPI, vol. 16(15), pages 1-25, August.
   2. Arduino, Francesca Romana & Buchetti, Bruno & Harasheh, Murad, 2024. "The veil of secrecy: Family firms’ approach to ESG transparency and the role of institutional investors," Finance Research Letters, Elsevier, vol. 62(PB).
   3. Chai, Shanglei & Cao, Mengjun & Li, Qiang & Ji, Qiang & Liu, Zuankuo, 2023. "Exploring the nexus between ESG disclosure and corporate sustainable growth: Moderating role of media attention," Finance Research Letters, Elsevier, vol. 58(PC).
   4. Jootae Kim & Sungjin Son & Ick Jin, 2022. "The Effects of Shareholding of the National Pension Fund on Environmental, Social, Governance, and Financial Performance: Evidence from the Korean Manufacturing Industry," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
   5. Ting Qian & Caoyuan Yang, 2023. "State-Owned Equity Participation and Corporations’ ESG Performance in China: The Mediating Role of Top Management Incentives," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
   6. Zhang, Jitao & Yang, Yongliang, 2023. "Can environmental disclosure improve price efficiency? The perspective of price delay," Finance Research Letters, Elsevier, vol. 52(C).
   7. Ameen Qasem & Shaker Dahan AL-Duais & Wan Nordin Wan-Hussin & Hasan Mohamad Bamahros & Abdulsalam Alquhaif & Murad Thomran, 2022. "Institutional Ownership Types and ESG Reporting: The Case of Saudi Listed Firms," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
   8. Giordino, Daniele & Jabeen, Fauzia & Nirino, Niccolò & Bresciani, Stefano, 2024. "Institutional investors ownership concentration and its effect on disclosure and transparency of United Nations sustainable development goals," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
   9. Pruthiranjan Dwibedi & Debasis Pahi & Antarjyami Sahu, 2024. "Mapping the landscape of environmental, social and governance research: A bibliometric analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 3745-3767, September.
   10. Beck, Donizete & Ferasso, Marcos, 2023. "How can Stakeholder Capitalism contribute to achieving the Sustainable Development Goals? A Cross-network Literature Analysis," Ecological Economics, Elsevier, vol. 204(PA).
   11. Ashton, John & Wang, Yang & Zhang, Yifei, 2024. "Does mutual fund ownership increase corporate environmental spending?," Journal of Business Research, Elsevier, vol. 184(C).
   12. Peng, Hongfeng & Zhang, Zhenqi & Goodell, John W. & Li, Mingsheng, 2023. "Socially responsible investing: Is it for real or just for show?," International Review of Financial Analysis, Elsevier, vol. 86(C).
   13. Ge Ren & Ping Zeng & Xi Zhong, 2024. "Differentiation strategies and firms' environmental, social and governance: The different moderating effects of historical and social performance shortfalls," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 719-740, January.
   14. Kentaro Azuma & Akira Higashida, 2024. "Climate change disclosure and evolving institutional investor salience: Roles of the Principles for Responsible Investment," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 3669-3686, May.
   15. Liang, Jinma & Zhang, Yicheng & Li, Yuanheng, 2024. "The role of ESG scores in ESG fund performance and institutional investor selection," Finance Research Letters, Elsevier, vol. 65(C).

3. Filipowski, Jacek & Kamiński, Bogumił & Mashatan, Atefeh & Prałat, Paweł & Szufel, Przemysław, 2021. "Optimization of the cost of urban traffic through an online bidding platform for commuters," Economics of Transportation, Elsevier, vol. 25(C).

   Cited by:

   1. Jou, Rong-Chang & Kuo, Chung-Wei & Chiu, Yi-Chun, 2022. "Bidding behaviors for international airline seats in short/long distance flights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 55-79.

4. Kamiński, Bogumił & Prałat, Paweł & Théberge, François, 2021. "Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure," Network Science, Cambridge University Press, vol. 9(2), pages 153-178, June.

   Cited by:

   1. Chen, Hailiang & Chen, Bin & Ai, Chuan & Zhu, Mengna & Qiu, Xiaogang, 2022. "The evolving network model with community size and distance preferences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).

5. Ulmer, Marlin & Nowak, Maciek & Mattfeld, Dirk & Kaminski, Bogumił, 2020. "Binary driver-customer familiarity in service routing," European Journal of Operational Research, Elsevier, vol. 286(2), pages 477-493.

   Cited by:

   1. Minghong Ma & Fei Yang, 2024. "Dynamic migratory beekeeping route recommendation based on spatio-temporal distribution of nectar sources," Annals of Operations Research, Springer, vol. 341(2), pages 1075-1105, October.
   2. Soeffker, Ninja & Ulmer, Marlin W. & Mattfeld, Dirk C., 2022. "Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review," European Journal of Operational Research, Elsevier, vol. 298(3), pages 801-820.
   3. Ausseil, Rosemonde & Ulmer, Marlin W. & Pazour, Jennifer A., 2024. "Online acceptance probability approximation in peer-to-peer transportation," Omega, Elsevier, vol. 123(C).
   4. Li, Yifu & Zhou, Chenhao & Yuan, Peixue & Ngo, Thi Tu Anh, 2023. "Experience-based territory planning and driver assignment with predicted demand and driver present condition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
   5. Dieter, Peter & Caron, Matthew & Schryen, Guido, 2023. "Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework," European Journal of Operational Research, Elsevier, vol. 311(1), pages 283-300.
   6. Nowak, Maciek & Szufel, Przemysław, 2024. "Technician routing and scheduling for the sharing economy," European Journal of Operational Research, Elsevier, vol. 314(1), pages 15-31.
   7. Chen, Xi & Li, Kaiwen & Lin, Sidian & Ding, Xiaosong, 2024. "Technician routing and scheduling with employees’ learning through implicit cross-training strategy," International Journal of Production Economics, Elsevier, vol. 271(C).
   8. Quirion-Blais, Olivier & Chen, Lu, 2021. "A case-based reasoning approach to solve the vehicle routing problem with time windows and drivers’ experience," Omega, Elsevier, vol. 102(C).
   9. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).

6. Bogumił Kamiński & Valérie Poulin & Paweł Prałat & Przemysław Szufel & François Théberge, 2019. "Clustering via hypergraph modularity," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-15, November.

   Cited by:

   1. Michela Chessa & Arnaud Persenda & Dominique Torre, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," Post-Print hal-04194464, HAL.
      • Michela Chessa & Arnaud Persenda & Dominique Torre, 2022. "Brexit and Canadadvent: An Application of Graphs and Hypergraphs to Recent International Trade Agreements," GREDEG Working Papers 2022-35, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
      • Chessa, Michela & Persenda, Arnaud & Torre, Dominique, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," International Economics, Elsevier, vol. 175(C), pages 1-12.
      • Michela Chessa & Arnaud Persenda & Dominique Torre, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," Post-Print halshs-04367894, HAL.

7. Maria Aluchna & Tomasz Berent & Bogumił Kamiński, 2019. "Dividend Payouts and Shareholder Structure: Evidence from the Warsaw Stock Exchange," Eastern European Economics, Taylor & Francis Journals, vol. 57(3), pages 227-250, May.

   Cited by:

   1. Aleksandra Pieloch-Babiarz, 2019. "Ownership structure, board characteristics and dividend policy: evidence from the Warsaw Stock Exchange," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 18(3), pages 317-330, September.
   2. Aleksandra Pieloch-Babiarz, 2022. "Catering to investor sentiment for dividends: contestability or collusion of the largest shareholders?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(2), pages 435-457, June.
   3. Tomasz Berent & Radosław Rejman, 2021. "Bankruptcy Prediction with a Doubly Stochastic Poisson Forward Intensity Model and Low-Quality Data," Risks, MDPI, vol. 9(12), pages 1-24, December.

8. Bogumił Kamiński & Michał Jakubczyk & Przemysław Szufel, 2018. "A framework for sensitivity analysis of decision trees," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 135-159, March.

   Cited by:

   1. Deac Dan Stelian & Schebesch Klaus Bruno, 2018. "Market Forecasts and Client Behavioral Data: Towards Finding Adequate Model Complexity," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 28(3), pages 50-75, September.
   2. Dongfen Li & Yundan Zheng & Xiaofang Liu & Jie Zhou & Yuqiao Tan & Xiaolong Yang & Mingzhe Liu, 2022. "Hierarchical Quantum Information Splitting of an Arbitrary Two-Qubit State Based on a Decision Tree," Mathematics, MDPI, vol. 10(23), pages 1-18, December.
   3. Ivan Miguel Pires & Faisal Hussain & Nuno M. Garcia & Petre Lameski & Eftim Zdravevski, 2020. "Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification," Future Internet, MDPI, vol. 12(11), pages 1-14, November.
   4. Jorge Omar Razo-De-Anda & Luis Lorenzo Romero-Castro & Francisco Venegas-Martínez, 2023. "Contagion Patterns Classification in Stock Indices: A Functional Clustering Analysis Using Decision Trees," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
   5. Jana Gerlach & Paul Hoppe & Sarah Jagels & Luisa Licker & Michael H. Breitner, 2022. "Decision support for efficient XAI services - A morphological analysis, business model archetypes, and a decision tree," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2139-2158, December.
   6. Dimitar Haralampiev Popov, 2022. "SME Viability Assessment Methodology: Combining Altman's Z-Score with Big Data," Bulgarian Economic Papers bep-2022-04, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Jun 2022.
   7. João R. B. Paiva & Alana S. Magalhães & Pedro H. F. Moraes & Júnio S. Bulhões & Wesley P. Calixto, 2021. "Stability Metric Based on Sensitivity Analysis Applied to Electrical Repowering System," Energies, MDPI, vol. 14(22), pages 1-21, November.
   8. Fabrizio De Caro & Amedeo Andreotti & Rodolfo Araneo & Massimo Panella & Antonello Rosato & Alfredo Vaccaro & Domenico Villacci, 2020. "A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data," Energies, MDPI, vol. 13(24), pages 1-25, December.
   9. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
   10. Tymoteusz Miller & Grzegorz Mikiciuk & Anna Kisiel & Małgorzata Mikiciuk & Dominika Paliwoda & Lidia Sas-Paszt & Danuta Cembrowska-Lech & Adrianna Krzemińska & Agnieszka Kozioł & Adam Brysiewicz, 2023. "Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
   11. Kamyab Karimi & Ali Ghodratnama & Reza Tavakkoli-Moghaddam, 2023. "Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis," Annals of Operations Research, Springer, vol. 328(1), pages 665-700, September.
   12. Fieberg, Christian & Günther, Steffen & Poddig, Thorsten & Zaremba, Adam, 2024. "Non-standard errors in the cryptocurrency world," International Review of Financial Analysis, Elsevier, vol. 92(C).
   13. Abdul Majeed, 2019. "Improving Time Complexity and Accuracy of the Machine Learning Algorithms Through Selection of Highly Weighted Top k Features from Complex Datasets," Annals of Data Science, Springer, vol. 6(4), pages 599-621, December.
   14. Michelle Sapitang & Wanie M. Ridwan & Khairul Faizal Kushiar & Ali Najah Ahmed & Ahmed El-Shafie, 2020. "Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
   15. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).

9. Michał Jakubczyk & Bogumił Kamiński, 2017. "Fuzzy approach to decision analysis with multiple criteria and uncertainty in health technology assessment," Annals of Operations Research, Springer, vol. 251(1), pages 301-324, April.

   Cited by:

   1. Sabine E. Grimm & Xavier Pouwels & Bram L. T. Ramaekers & Ben Wijnen & Thomas Otten & Janneke Grutters & Manuela A. Joore, 2021. "State of the ART? Two New Tools for Risk Communication in Health Technology Assessments," PharmacoEconomics, Springer, vol. 39(10), pages 1185-1196, October.
   2. Jose M. Gonzalez-Cava & José Antonio Reboso & José Luis Casteleiro-Roca & José Luis Calvo-Rolle & Juan Albino Méndez Pérez, 2018. "A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine," Complexity, Hindawi, vol. 2018, pages 1-15, February.
   3. Michał Jakubczyk & Dominik Golicki, 2020. "Elicitation and modelling of imprecise utility of health states," Theory and Decision, Springer, vol. 88(1), pages 51-71, February.
   4. Mohd Hilmi Hasan & Jafreezal Jaafar & Junzo Watada & Mohd Fadzil Hassan & Izzatdin Abdul Aziz, 2021. "An interval type-2 fuzzy model of compliance monitoring for quality of web service," Annals of Operations Research, Springer, vol. 300(2), pages 415-441, May.

10. Kamiński, Bogumił, 2015. "A method for the updating of stochastic kriging metamodels," European Journal of Operational Research, Elsevier, vol. 247(3), pages 859-866.

    Cited by:

    1. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
       • Kleijnen, J.P.C., 2015. "Regression and Kriging Metamodels with Their Experimental Designs in Simulation : Review," Discussion Paper 2015-035, Tilburg University, Center for Economic Research.
       • Kleijnen, J.P.C., 2015. "Regression and Kriging Metamodels with Their Experimental Designs in Simulation : Review," Other publications TiSEM c592e895-1656-43c3-8c7e-f, Tilburg University, School of Economics and Management.
    2. Rodriguez, Sergio & Ludkovski, Michael, 2020. "Probabilistic bisection with spatial metamodels," European Journal of Operational Research, Elsevier, vol. 286(2), pages 588-603.
    3. Chen, Xi & Zhou, Qiang, 2017. "Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation," European Journal of Operational Research, Elsevier, vol. 262(2), pages 575-585.

11. Michał Jakubczyk & Bogumił Kamiński, 2010. "Cost‐effectiveness acceptability curves – caveats quantified," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 955-963, August.

    Cited by:

    1. Michał Jakubczyk & Bogumił Kamiński, 2017. "Fuzzy approach to decision analysis with multiple criteria and uncertainty in health technology assessment," Annals of Operations Research, Springer, vol. 251(1), pages 301-324, April.
    2. Klemen Naveršnik, 2015. "Output correlations in probabilistic models with multiple alternatives," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 133-139, March.
    3. Maiwenn Al, 2013. "Cost-Effectiveness Acceptability Curves Revisited," PharmacoEconomics, Springer, vol. 31(2), pages 93-100, February.
    4. Ernst, Richard, 2017. "Theories of Health Care Cost-Effectiveness Analysis," SocArXiv gjbcp, Center for Open Science.
    5. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & Negrín, M.A., 2012. "Optimal healthcare decisions: The importance of the covariates in cost–effectiveness analysis," European Journal of Operational Research, Elsevier, vol. 218(2), pages 512-522.
    6. Dirk Müller & Eleanor Pullenayegum & Afschin Gandjour, 2015. "Impact of small study bias on cost-effectiveness acceptability curves and value of information analyses," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 219-223, March.

12. Kaminski, B., 2007. "On quasi-orderings and multi-objective functions," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1591-1598, March.

    Cited by:

    1. Marcus Pivato, 2020. "Subjective expected utility with a spectral state space," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(2), pages 249-313, March.
    2. Pedro Hack & Daniel A. Braun & Sebastian Gottwald, 2022. "Representing preorders with injective monotones," Theory and Decision, Springer, vol. 93(4), pages 663-690, November.
    3. Cosimo Munari, 2021. "Multi-utility representations of incomplete preferences induced by set-valued risk measures," Finance and Stochastics, Springer, vol. 25(1), pages 77-99, January.
    4. Pivato, Marcus, 2012. "Multiutility representations for incomplete difference preorders," MPRA Paper 41182, University Library of Munich, Germany.
       • Pivato, Marcus, 2013. "Multiutility representations for incomplete difference preorders," Mathematical Social Sciences, Elsevier, vol. 66(3), pages 196-220.
    5. Gianni Bosi & Asier Estevan & Armajac Raventós-Pujol, 2020. "Topologies for semicontinuous Richter–Peleg multi-utilities," Theory and Decision, Springer, vol. 88(3), pages 457-470, April.
    6. Cosimo Munari, 2020. "Multi-utility representations of incomplete preferences induced by set-valued risk measures," Papers 2009.04151, arXiv.org.
    7. Alcantud, José Carlos R. & Bosi, Gianni & Zuanon, Magalì, 2013. "Representations of preorders by strong multi-objective functions," MPRA Paper 52329, University Library of Munich, Germany.

Chapters

1. Bogumil Kaminski & Marcin Czupryna & Tomasz Szapiro, 2009. "On Conditional Value-at-Risk Based Goal Programming Portfolio Selection Procedure," Lecture Notes in Economics and Mathematical Systems, in: Vincent Barichard & Matthias Ehrgott & Xavier Gandibleux & Vincent T'Kindt (ed.), Multiobjective Programming and Goal Programming, pages 243-252, Springer.

   Cited by:

   1. Bilbao-Terol, Amelia & Arenas-Parra, Mar & Cañal-Fernández, Verónica, 2016. "A model based on Copula Theory for sustainable and social responsible investments," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 55-76.
   2. Amelia Bilbao-Terol & Mar Arenas-Parra & Verónica Cañal-Fernández & Celia Bilbao-Terol, 2013. "Selection of Socially Responsible Portfolios Using Hedonic Prices," Journal of Business Ethics, Springer, vol. 115(3), pages 515-529, July.
   3. Álvarez-Miranda, Eduardo & Garcia-Gonzalo, Jordi & Ulloa-Fierro, Felipe & Weintraub, Andrés & Barreiro, Susana, 2018. "A multicriteria optimization model for sustainable forest management under climate change uncertainty: An application in Portugal," European Journal of Operational Research, Elsevier, vol. 269(1), pages 79-98.
   4. Amelia Bilbao-Terol & Mar Arenas-Parra & Verónica Cañal-Fernández & Celia Bilbao-Terol, 2016. "Multi-criteria decision making for choosing socially responsible investment within a behavioral portfolio theory framework: a new way of investing into a crisis environment," Annals of Operations Research, Springer, vol. 247(2), pages 549-580, December.

2. Maciej Latek & Bogumil Kaminski, 2009. "Social Learning and Pricing Obfuscation," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 103-114, Springer.

   Cited by:

   1. Bonnet, Céline & Bouamra-Mechemache, Zohra & Klein, Gordon & Richards, Timothy J., 2016. "Strategic Obfuscation and Retail Pricing," TSE Working Papers 16-733, Toulouse School of Economics (TSE).
      • Richards, Timothy J. & Klein, Gordon & Bonnet, Celine & Bouamra-Mechemache, Zohra, 2017. "Strategic Obfuscation and Retail Pricing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258021, Agricultural and Applied Economics Association.
      • Zohra Bouamra & Timothy Richards & Gordon Klein & Céline Bonnet & Zohra Bouamra-Mechemache, 2020. "Strategic Obfuscation and Retail Pricing," Post-Print hal-02902690, HAL.
      • Timothy J. Richards & Gordon J. Klein & Celine Bonnet & Zohra Bouamra-Mechemache, 2020. "Strategic Obfuscation and Retail Pricing," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(4), pages 859-889, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-SOC: Social Norms and Social Capital (3) 2017-03-26 2017-04-16 2017-04-16
2. NEP-CMP: Computational Economics (2) 2017-04-16 2018-05-28
3. NEP-COM: Industrial Competition (2) 2006-07-15 2012-09-22
4. NEP-HAP: Economics of Happiness (2) 2017-03-26 2017-04-16
5. NEP-NET: Network Economics (2) 2017-03-26 2017-04-16
6. NEP-CTA: Contract Theory and Applications (1) 2012-09-22
7. NEP-EFF: Efficiency and Productivity (1) 2024-05-27
8. NEP-HPE: History and Philosophy of Economics (1) 2017-03-26
9. NEP-IND: Industrial Organization (1) 2012-09-22
10. NEP-MIC: Microeconomics (1) 2012-09-22
11. NEP-MKT: Marketing (1) 2012-09-22
12. NEP-TRA: Transition Economics (1) 2017-03-26
13. NEP-UPT: Utility Models and Prospect Theory (1) 2017-04-16
14. NEP-URE: Urban and Real Estate Economics (1) 2018-05-28

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