Stability of General Systems in Biological, Physical and Social Sciences

1978 ◽  
pp. 575-587 ◽  
Author(s):  
G. S. Ladde
1961 ◽  
Vol 14 (1) ◽  
pp. 77-92 ◽  
Author(s):  
J. David Singer

In any area of scholarly inquiry, there are always several ways in which the phenomena under study may be sorted and arranged for purposes of systemic analysis. Whether in the physical or social sciences, the observer may choose to focus upon the parts or upon the whole, upon the components or upon the system. He may, for example, choose between the flowers or the garden, the rocks or the quarry, the trees or the forest, the houses or the neighborhood, the cars or the traffic jam, the delinquents or the gang, die legislators or the legislative, and so on. Whether he selects the micro- or macro-level of analysis is ostensibly a mere matter of methodological or conceptual convenience. Yet the choice often turns out to be quite difficult, and may well become a central issue within the discipline concerned. The complexity and significance of these level-of-analysis decisions are readily suggested by the long-standing controversies between social psychology and sociology, personality-oriented and culture-oriented anthropology, or micro- and macro-economics, to mention but a few. In the vernacular of general systems theory, the observer is always confronted with a system, its sub-systems, and their respective environments, and while he may choose as his system any cluster of phenomena from the most minute organism to the universe itself, such choice cannot be merely a function of whim or caprice, habit or familiarity. The responsible scholar must be prepared to evaluate the relative utility—conceptual and methodological—of the various alternatives open to him, and to appraise the manifold implications of the level of analysis finally selected. So it is with international relations.


Author(s):  
Zekai Öztürk

In business management literature, chaos and complexity approaches came into sight in 1990's. Fundamental changes have been made by chaos and complexity approaches in understanding of scientific methodology. In social sciences, especially in management and organization fields these notions should be seen as supplementary to the general systems theory. Chaotic management approach also revealed dramatic changes in management understanding chaotic management perspective has brought up the consideration of human both in organisational and humane perspective, which has only been considered within organisational perspective. In other words, placing human in the centre as the essential element of living humanely again has been provided. In this study effects of chaotic theory starting from basic mathematical and scientific findings, were investigated on production, economy, service and social sciences. Also we worked on influence of the theory on management and organization area.


Methodology ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Knut Petzold ◽  
Tobias Wolbring

Abstract. Factorial survey experiments are increasingly used in the social sciences to investigate behavioral intentions. The measurement of self-reported behavioral intentions with factorial survey experiments frequently assumes that the determinants of intended behavior affect actual behavior in a similar way. We critically investigate this fundamental assumption using the misdirected email technique. Student participants of a survey were randomly assigned to a field experiment or a survey experiment. The email informs the recipient about the reception of a scholarship with varying stakes (full-time vs. book) and recipient’s names (German vs. Arabic). In the survey experiment, respondents saw an image of the same email. This validation design ensured a high level of correspondence between units, settings, and treatments across both studies. Results reveal that while the frequencies of self-reported intentions and actual behavior deviate, treatments show similar relative effects. Hence, although further research on this topic is needed, this study suggests that determinants of behavior might be inferred from behavioral intentions measured with survey experiments.


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