scholarly journals Pay and networks in organizations: Incentive redesign as a driver of network change

2021 ◽  
Author(s):  
Hitoshi Mitsuhashi ◽  
Azusa Nakamura
Keyword(s):  
Network Change

Network change processes for environmental practices

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lyndie Bayne ◽  
Sharon Purchase ◽  
Geoffrey N. Soutar
Keyword(s):  
Life Cycle ◽  
Change Process ◽  
Business Case ◽  
Process Theory ◽  
Change Processes ◽  
Business Networks ◽  
Environmental Practices ◽  
Content Type ◽  
Network Change ◽  
Network Process

Purpose The purpose of this study is to develop an understanding of how change in environmental practices occurs in business networks. The study examines what types of network change processes occur in bringing about environmental change. Further, the basic change process theory types (life-cycle, teleology, dialectics and evolution) involved in the change processes are analyzed. Design/methodology/approach A multiple, embedded, network case study was undertaken in the Australian agrifood sector, focusing on the pork and dairy industries. Findings Change was found to occur through the interaction of multiple network processes operating simultaneously and sequentially over time. Thirteen network process categories were identified, grouped further into legislative, business case and altruistic overarching motivations. Legislative change processes emphasize the need for continued government intervention through enforced legislation. Teleology and dialectics were common at the beginning of many change processes, followed by life-cycle theory types. Originality/value The study brings together change process conceptualizations from prior unconnected literatures into a comprehensive change process categorization framework. Examining changes in the activity dimension adds to network dynamics literature previously focusing on changes in the actor and resource dimensions. Contributions are made to processual research methods by theoretically and empirically clarifying connections between events, activities and processes. Analyzing the underlying change process theory types at the network level adds to both management and business network literature. Finally, the study answers calls to study sustainability issues at a network level.

scholarly journals Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients

2020 ◽  
Vol 20 (3) ◽  
pp. 200-212
Author(s):  
Núria Mancho-Fora ◽  
Marc Montalà-Flaquer ◽  
Laia Farràs-Permanyer ◽  
Daniel Zarabozo-Hurtado ◽  
Geisa Bearitz Gallardo-Moreno ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Functional Connectivity ◽  
Resting State ◽  
Change Point ◽  
Change Point Detection ◽  
Resting State Functional Connectivity ◽  
Network Change ◽  
Point Detection

Stochastic Actor-Oriented Models for the Co-Evolution of Networks and Behavior: An Introduction and Tutorial

2019 ◽  
Vol 23 (3) ◽  
pp. 511-534 ◽  
Author(s):  
Yuval Kalish
Keyword(s):  
Social Sciences ◽  
Model Building ◽  
Network Evolution ◽  
Network Ties ◽  
Network Change ◽  
Step Model ◽  
The Social ◽  
Research Questions ◽  
Organizational Scholarship ◽  
And Behavior

Stochastic actor-oriented (SAO) models are a family of models for network dynamics that enable researchers to test multiple, often competing explanations for network change and estimate the extent and relative power of various influences on network evolution. SAO models for the co-evolution of network ties and actor behavior, the most comprehensive category of SAO models, examine how networks and actor attributes—their behavior, performance, or attitudes—influence each other over time. While these models have been widely used in the social sciences, and particularly in educational settings, their use in organizational scholarship has been extremely limited. This paper provides a layperson introduction to SAO models for the co-evolution of networks and behavior and the types of research questions they can address. The models and their underpinnings are explained in nonmathematical terms, and theoretical explanations are supported by a concrete, detailed example that includes step-by-step model building and hypothesis testing, alongside an R script.

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