rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: predictive model of innovation and internationalization
    sub title: an empirical study of U.S. construction firms
  name:
    name part: Park, Dae Woo
    name part: 1960-
    role:
      role term: creator
  name:
    name part: Albanese, Robert
    role:
      role term: degree supervisor.
  name:
    name part: Hitt, Michael A.
    role:
      role term: degree committee member.
  name:
    name part: Ringer, Larry J.
    role:
      role term: degree committee member.
  name:
    name part: Woodman, Richard W.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses.
  origin info:
    place:
      place term: xx
    date issued: 1992
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: x, 199 leaves : illustrations ; 29 cm
  abstract: The purpose of this study was to investigate the perceptual process of top managers of U.S. construction firms and to examine its relationship with organizational commitment to innovation and internationalization. Top managers' transformational leadership characteristics, organizational size, and organizational history on organizational commitment to innovation and internationalization were also examined. The study also examined the factors predicting the level of internationalization of U.S. construction firms. This study was an attempt to bridge the boundaries of traditional organizational research through a convergence of micro and macro OB approaches. The hypothesized relationships were tested using a sample of U.S. construction firms listed on the ENR's 1989-1990 Directory of Contractors. The findings of multiple regression analysis reported the significant relationships among top managers' perceived changes in environmental uncertainty, organizational strategy, transformational leadership characteristics, organizational history, and organizational commitment to innovation. The findings of multiple regression analysis also reported the significant relationship between organizational commitment to innovation and organizational commitment to internationalization. In contrast, the findings of logistic regression analysis reported top managers' perceived changes in organizational strategy, organizational size, and organizational commitment to innovation as significant predictors of the level of internationalization. Finally, the issues of "creating organizational capacity for innovation" and "being an internationalist" have been the foci of inquiry for many organizational researchers. In spite of its huge size and significant impact on the U.S. economy (1.2 million firms, 5.5 million employees, and 9% of the GNP), however, the U.S. construction industry has been neglected in their research. Thus, part of this study's significance is in its examination of organizati…
  note: "Major subject: Management."
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. Texas A & M University 1992
  note: Includes bibliographical references.
  subject:
    geographic code: n-us---
  subject:
    topic: Construction industry
    geographic: United States
    topic: Management
  subject:
    topic: Creative ability in business
  subject:
    topic: International business enterprises
  subject:
    topic: Major management
  subject:
    topic: Construction industry
    topic: Management
  subject:
    geographic: United States
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-1354134
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-1354134
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 931007
    record change date: 20220103134853.0
    record identifier: in00001160529
    language of cataloging:
      language term: eng