Book Reviews : Bo Hedberg, On Man-Computer Interaction in Organizational Decision- Making : A Behavioral Approach. Gothenburg Studies in Business Administration, Gothenburg School of Economics and Business Administration, 1970, 250 pp

1973 ◽  
Vol 4 (2) ◽  
pp. 245-246 ◽  
Author(s):  
Richard F. Barton
1983 ◽  
Vol 53 (3) ◽  
pp. 851-857 ◽  
Author(s):  
Dean Tjosvold

The goal interdependence of departments was expected to affect how their representatives discussed an organizational decision. 54 undergraduates in business administration were assigned to be representatives of two different departments and were led to believe that their departments were to cooperate for mutual benefit, compete to outdo each other, or to seek their own individualistic interests. Compared with the competitively linked representatives, the cooperative and individualistc representatves integrated both departments' views into their recommendation for the decision. Perhaps because they more openly confronted opposing views, individualistic subjects, although they reported that they understood the other's position less, tended to demonstrate more knowledge of the other's preferences than did those in the other two conditions. Department representatives were not necessarily unresponsive to each other's views. Individualistic and cooperative but not competitive goal interdependence seemed to contribute to organizational decision making.


2014 ◽  
Vol 67 (5) ◽  
pp. 790-794 ◽  
Author(s):  
Iván Arribas ◽  
Irene Comeig ◽  
Amparo Urbano ◽  
José Vila

2021 ◽  
Vol 2 (2) ◽  
pp. 263178772110046
Author(s):  
Vern L. Glaser ◽  
Neil Pollock ◽  
Luciana D’Adderio

Algorithms are ubiquitous in modern organizations. Typically, researchers have viewed algorithms as self-contained computational tools that either magnify organizational capabilities or generate unintended negative consequences. To overcome this limited understanding of algorithms as stable entities, we propose two moves. The first entails building on a performative perspective to theorize algorithms as entangled, relational, emergent, and nested assemblages that use theories—and the sociomaterial networks they invoke—to automate decisions, enact roles and expertise, and perform calculations. The second move entails building on our dynamic perspective on algorithms to theorize how algorithms evolve as they move across contexts and over time. To this end, we introduce a biographical perspective on algorithms which traces their evolution by focusing on key “biographical moments.” We conclude by discussing how our performativity-inspired biographical perspective on algorithms can help management and organization scholars better understand organizational decision-making, the spread of technologies and their logics, and the dynamics of practices and routines.


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