Expectational bottlenecks and the emerging of new organizational forms.

Saved in:
Bibliographic Details
Title: Expectational bottlenecks and the emerging of new organizational forms.
Authors: Bogliacino, Francesco1 francesco.bogliacino@gmail.com, Rampa, Giorgio2
Source: Structural Change & Economic Dynamics. Jun2014, Vol. 29, p28-39. 12p.
Subjects: Economic equilibrium, Machine learning, Organizational change, Stagnation (Economics), Economic impact
Abstract: Abstract: In this article we discuss the dynamics of organizational change when agents have heterogeneous initial conjectures and do learn. In this framework, conjectural equilibrium is defined as a steady state of the learning process, and all the adjustment occurs in disequilibrium. We discuss the properties of the system under different “rationality” assumptions, and using well-known learning algorithms. We prove analytically that multiplicity of equilibria, and failure of good organizational routines, cannot be ruled out: better, they are fairly probable. Stability is a crucial matter: it is shown to depend on initial conjectures. Finally, learning does not necessarily select the best. [Copyright &y& Elsevier]
Copyright of Structural Change & Economic Dynamics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 95930430
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Expectational bottlenecks and the emerging of new organizational forms.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Bogliacino%2C+Francesco%22">Bogliacino, Francesco</searchLink><relatesTo>1</relatesTo><i> francesco.bogliacino@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Rampa%2C+Giorgio%22">Rampa, Giorgio</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Structural+Change+%26+Economic+Dynamics%22">Structural Change & Economic Dynamics</searchLink>. Jun2014, Vol. 29, p28-39. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Economic+equilibrium%22">Economic equilibrium</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Organizational+change%22">Organizational change</searchLink><br /><searchLink fieldCode="DE" term="%22Stagnation+%28Economics%29%22">Stagnation (Economics)</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+impact%22">Economic impact</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: In this article we discuss the dynamics of organizational change when agents have heterogeneous initial conjectures and do learn. In this framework, conjectural equilibrium is defined as a steady state of the learning process, and all the adjustment occurs in disequilibrium. We discuss the properties of the system under different “rationality” assumptions, and using well-known learning algorithms. We prove analytically that multiplicity of equilibria, and failure of good organizational routines, cannot be ruled out: better, they are fairly probable. Stability is a crucial matter: it is shown to depend on initial conjectures. Finally, learning does not necessarily select the best. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Structural Change & Economic Dynamics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=95930430
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.strueco.2013.01.001
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 28
    Subjects:
      – SubjectFull: Economic equilibrium
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Organizational change
        Type: general
      – SubjectFull: Stagnation (Economics)
        Type: general
      – SubjectFull: Economic impact
        Type: general
    Titles:
      – TitleFull: Expectational bottlenecks and the emerging of new organizational forms.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bogliacino, Francesco
      – PersonEntity:
          Name:
            NameFull: Rampa, Giorgio
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2014
              Type: published
              Y: 2014
          Identifiers:
            – Type: issn-print
              Value: 0954349X
          Numbering:
            – Type: volume
              Value: 29
          Titles:
            – TitleFull: Structural Change & Economic Dynamics
              Type: main
ResultId 1