Causal Analysis of Interorganizational Relations: An Axiomatic Theory Revised

Paulson, Steven K.

doi:10.2307/2391975

Cited by 46 publications

(18 citation statements)

References 4 publications

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“…Because of scarce resources, organizations have to decide which functions to perform themselves -and therefore establish ties with other organizations for complementary resources (Aiken & Hage, 1968;Paulson, 1974;Håkansson & Snehota, 1989). Such ties lead to interdependencies.…”

Section: A Single-entity or Network-level Analysismentioning

confidence: 99%

Applying a network level in environmental impact assessments

Öberg

Huge‐Brodin

Björklund

2012

Journal of Business Research

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AcknowledgementsThe authors thank the special issue editors and the two anonymous reviewers for their valuable and constructive comments on the paper. The authors express their gratitude to Bengt Högberg, Linköping University for his support and helpful remarks on the final version of the paper. 2 AbstractResearchers and society devote increasing interest to environmental impact assessments. The study here discusses and questions current assessment models by relating them to inter-organizational network analyses, and demonstrates that single entities as the basis for environmental impact assessments may not be in the best interests of society. Three case studies focusing on logistical solutions illustrate environmental effects on a single-entity and a network level. The paper concludes that considering environmental impacts on a singleentity level disregards indirect effects, which in turn has consequences for the environment.The paper points to the importance of identifying the appropriate level for analysis of environmental impacts since the single entity as the basis for assessments may undermine environmentally friendly intentions.

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Section: A Single-entity or Network-level Analysismentioning

confidence: 99%

Applying a network level in environmental impact assessments

Öberg

Huge‐Brodin

Björklund

2012

Journal of Business Research

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“…Badran and Hinings 1981;Inkson et al 1970a;Tayeb 1987), written rules and regulations (e.g. Atwater 1995;Hull and Collins 1987), perceived role formalization (Child and Kieser 1979;Inkson et al 1970a, b), formalization of personnel regulations (Armandi and Mills 1982;Blau and McKinley 1979;Blau and Schoenherr 1971;Meyer and Brown 1977) and reference to written guidelines (Palumbo 1969;Paulson 1974;Shrader et al 1989).…”

Section: Coding Measuresmentioning

confidence: 99%

The Persistence of Bureaucracy: A Meta-analysis of Weber’s Model of Bureaucratic Control

Walton¹

2005

Organization Studies

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The model of bureaucratic control is an enduring part of modern organizational theory. This study draws on almost four decades of empirical research in assessing the general validity of the model. Meta-analytical techniques are used for estimating the general relationships among key aspects of bureaucratic control, removing the effects of statistical artefacts and exploring the relative persistence of the model. The results provide substantial support for the model of bureaucratic control. The average correlation among the structural variables is .54. Overall, the paper concludes that there are reasons to see the bureaucratic model of control as generalizable and of continuing relevance to discussions of organizational structures.

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“…However, as a number of authors have noted this is not unusual in organizational research (Hall, Haas, Johnson 1974;Paulson 1974), particularly when the organizations studied comprise a high proportion of the organiza tional population under consideration. 1 OPERATIONAL DEFINITIONS Because we are pooling items from several different approaches to the study of com mitment and bureaucratiaation, principal components analysis provided the tool to create indices and to determine the extent to which items drawn from various studies combined to form composite variables (Kim and Mueller 1978) and coefficient theta supplied Downloaded by [New York University] at 10:54 14 May 2015 estimates of factor reliability (Zeller and Carmines 1980).…”

Section: Samplementioning

confidence: 90%