PROCES PODEJMOWANIA DECYZJI W GOSPODARSTWIE DOMOWYM A DECYDOWANIE W PRZEDSIĘBIORSTWIE – PODOBIEŃSTWA I RÓŻNICE
DOI:
https://doi.org/10.12775/AUNC_ZARZ.2017.028Keywords
podejmowanie decyzji, proces decyzyjny, gospodarstwa domowe, przedsiębiorstwaAbstract
Podejmowanie decyzji jest nieodłącznym elementem życia każdego człowieka oraz każdej organizacji funkcjonującej na rynku. Codziennie dokonywane są różne wybory, nie zawsze też w sposób świadomy. Literatura wskazuje nam jak powinien wyglądać proces, który ostatecznie ma nam pomóc w podjęciu decyzji racjonalnej. Jak się jednak okazuje, w zależności od tego kto daną decyzję podejmuje, skutki są zupełnie inne. Niniejsze opracowanie ma na celu porównanie zachowań i sposobów decydowania przez gospodarstwa domowe oraz przedsiębiorstwa.References
Blavatskyy P. R., (2007), Stochastic expected utility theory, “Journal of Risk and Uncertainty”, 34(3).
Bogdanienko J., (2010), Organizacja i zarządzanie w zarysie, Wydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego, Warszawa.
Byun D., (2001), The AHP approach for selecting an automobile purchase model, “Information and Management”, 38(5).
Chau, P. Y. K., & Hu P. J., (2002), Investigating healthcare professionals' decisions to accept telemedicine technology: An empirical test of competing theories, “Information and Management”, 39(4).
Closs D. J., Jacobs M. A., Swink M. & Webb G. S., (2008), Toward a theory of competencies for the management of product complexity: Six case studies, “Journal of Operations Management”, 26(5).
Courtney J. F., (2001), Decision making and knowledge management in inquiring organizations: Toward a new decision-making paradigm for DSS, “Decision Support Systems”, 31(1).
Cunha M. R., Lambrecht B. M. & Pawlina, G., (2011), Household liquidity and incremental financing decisions: Theory and evidence, “Journal of Business Finance and Accounting”, 38(7-8).
Edum-Fotwe F. T., & McCaffer R., (2000), Developing project management competency: Perspectives from the construction industry, “International Journal of Project Management”, 18(2).
Gray P. H., (2001), A problem-solving perspective on knowledge management practices, “Decision Support Systems”, 31(1).
Hruschka H. & Natter M., (1999), Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation, “European Journal of Operational Research", 114(2).
Jaafari A., (2001), Management of risks, uncertainties and opportunities on projects: Time for a fundamental shift, “International Journal of Project Management”, 19(2).
Jaccard M., Loulou R., Kanudia A., Nyboer J., Bailie A. & Labriet M., (2003), Methodological contrasts in costing greenhouse gas abatement policies: Optimization and simulation modeling of micro-economic effects in Canada, “European Journal of Operational Research”, 145(1).
Jørgensen S. & Zaccour G., (1999), Price subsidies and guaranteed buys of a new technology, “European Journal of Operational Research”, 114(2).
Kaiser M. J., & Pulsipher A. G., (2004), The design of a dynamic allocation mechanism for the federal energy assistance program LIHEAP, “European Journal of Operational Research”, 158(3).
Kim Y., Street, W. N. Russell, G. J. & Menczer F., (2005), Customer targeting: A neural network approach guided by genetic algorithms, “Management Science”, 51(2).
Nordmoe E. D. & Jain D. C., (2000), Drawing inferences from logit models for panel data, “Applied Stochastic Models in Business and Industry”, 16(2).
Pennings J. M. E. & Smidts A., (2000), Assessing the construct validity of risk attitude, “Management Science”, 46(10).
Pullman M. E., Verma R. & Goodale J. C., (2001), Service design and operations strategy formulation in multicultural markets, “Journal of Operations Management”, 19(2).
Sasic A. & Habib K. N., (2013), Modelling departure time choices by a heteroskedastic generalized logit (het-GenL) model: An investigation on home-based commuting trips in the greater toronto and hamilton area (GTHA), “Transportation Research Part A: Policy and Practice”, 50.
Schwanen T. & Ettema D., (2009), Coping with unreliable transportation when collecting children: Examining parents' behavior with cumulative prospect theory, “Transportation Research Part A: Policy and Practice”, 43(5).
Schwarz N. & Ernst A., (2009), Agent-based modeling of the diffusion of environmental innovations - an empirical approach, “Technological Forecasting and Social Change”, 76(4).
Shaw M. J., Subramaniam C., Tan G. W. & Welge M. E., (2001), Knowledge management and data mining for marketing, ”Decision Support Systems”, 31(1).
Subramoniam R., Huisingh D. & Chinnam R. B., (2009), Remanufacturing for the automotive aftermarket-strategic factors: Literature review and future research needs, ”Journal of Cleaner Production”, 17(13).
Timmermans H. J. P. & Zhang J., (2009), Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda, ”Transportation Research Part B: Methodological”, 43(2).
Tung L. L. & Rieck O., (2005), Adoption of electronic government services among business organizations in Singapore, ”Journal of Strategic Information Systems”, 14(4).
Van der Aalst W. M. P., (2001), Re-engineering knock-out processes, ”Decision Support Systems”, 30(4).
Wong B. K. & Monaco J. A., (1995), Expert system applications in business: A review and analysis of the literature (1977-1993), ”Information and Management”, 29(3).
Zhang J., Kuwano M., Lee B. & Fujiwara A., (2009), Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms, ”Transportation Research Part B: Methodological”, 43(2).
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