Interfirm problem representation: Developing shared understanding within inter-organizational networks

2022 ◽  
Vol 100 ◽  
pp. 76-87
Author(s):  
Samuel Ogundipe ◽  
Linda D. Peters ◽  
Zsófia Tóth
Author(s):  
Emily Erikson ◽  
Eric Feltham

This chapter introduces the field of historical network research. Many historical outcomes of interest to social scientists are greatly affected by network processes. These include revolutions, segregation, increasing inequality, party polarization, market development, state centralization, and the rise and fall of institutions. The chapter considers the current state of historical network research across these and other outcomes by focusing on six different network phenomena: cross-cutting ties, informal social ties, associational and organizational networks, narrative networks, cohesion, and brokerage and centrality. Extant research has presented some contradictory findings about the relationoship of these findings to major social outomes, suggesting further specification is necessary. The goal of this chapter is to provide a synthesis that illuminates a pathway to maximize future contributions.


Author(s):  
Ellen Kristine Solbrekke Hansen

AbstractThis paper aims to give detailed insights of interactional aspects of students’ agency, reasoning, and collaboration, in their attempt to solve a linear function problem together. Four student pairs from a Norwegian upper secondary school suggested and explained ideas, tested it out, and evaluated their solution methods. The student–student interactions were studied by characterizing students’ individual mathematical reasoning, collaborative processes, and exercised agency. In the analysis, two interaction patterns emerged from the roles in how a student engaged or refrained from engaging in the collaborative work. Students’ engagement reveals aspects of how collaborative processes and mathematical reasoning co-exist with their agencies, through two ways of interacting: bi-directional interaction and one-directional interaction. Four student pairs illuminate how different roles in their collaboration are connected to shared agency or individual agency for merging knowledge together in shared understanding. In one-directional interactions, students engaged with different agencies as a primary agent, leading the conversation, making suggestions and explanations sometimes anchored in mathematical properties, or, as a secondary agent, listening and attempting to understand ideas are expressed by a peer. A secondary agent rarely reasoned mathematically. Both students attempted to collaborate, but rarely or never disagreed. The interactional pattern in bi-directional interactions highlights a mutual attempt to collaborate where both students were the driving forces of the problem-solving process. Students acted with similar roles where both were exercising a shared agency, building the final argument together by suggesting, accepting, listening, and negotiating mathematical properties. A critical variable for such a successful interaction was the collaborative process of repairing their shared understanding and reasoning anchored in mathematical properties of linear functions.


Author(s):  
Polly Mitchell ◽  
Alan Cribb ◽  
Vikki Entwistle

AbstractThis paper analyses the ethics of routine measurement for healthcare improvement. Routine measurement is an increasingly central part of healthcare system design and is taken to be necessary for successful healthcare improvement efforts. It is widely recognised that the effectiveness of routine measurement in bringing about improvement is limited—it often produces only modest effects or fails to generate anticipated improvements at all. We seek to show that these concerns do not exhaust the ethics of routine measurement. Even if routine measurement does lead to healthcare improvements, it has associated ethical costs which are not necessarily justified by its benefits. We argue that the practice of routine measurement changes the function of the healthcare system, resulting in an unintended and ethically significant transformation of the sector. It is difficult to determine whether such changes are justified or offset by the benefits of routine measurement because there may be no shared understanding of what is ‘good’ in healthcare by which to compare the benefits of routine measurement with the goods that are precluded by it. We counsel that the practice of routine measurement should proceed with caution and should be recognised to be an ethically significant choice, rather than an inevitability.


2021 ◽  
pp. 109442812110029
Author(s):  
Eric Quintane ◽  
Martin Wood ◽  
John Dunn ◽  
Lucia Falzon

Extant research in organizational networks has provided critical insights into understanding the benefits of occupying a brokerage position. More recently, researchers have moved beyond the brokerage position to consider the brokering processes (arbitration and collaboration) brokers engage in and their implications for performance. However, brokering processes are typically measured using scales that reflect individuals’ orientation toward engaging in a behavior, rather than the behavior itself. In this article, we propose a measure that captures the behavioral process of brokering. The measure indicates the extent to which actors engage in arbitration versus collaboration based on sequences of time stamped relational events, such as emails, message boards, and recordings of meetings. We demonstrate the validity of our measure as well as its predictive ability. By leveraging the temporal information inherent in sequences of relational events, our behavioral measure of brokering creates opportunities for researchers to explore the dynamics of brokerage and their impact on individuals, and also paves the way for a systematic examination of the temporal dynamics of networks.


Algorithms ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 16
Author(s):  
Jalal Al-afandi ◽  
Horváth András

Genetic Algorithms are stochastic optimization methods where solution candidates, complying to a specific problem representation, are evaluated according to a predefined fitness function. These approaches can provide solutions in various tasks even, where analytic solutions can not be or are too complex to be computed. In this paper we will show, how certain set of problems are partially solvable allowing us to grade segments of a solution individually, which results local and individual tuning of mutation parameters for genes. We will demonstrate the efficiency of our method on the N-Queens and travelling salesman problems where we can demonstrate that our approach always results faster convergence and in most cases a lower error than the traditional approach.


2021 ◽  
pp. 205343452110087
Author(s):  
Antoinette T Reerink ◽  
Jet Bussemaker ◽  
C Bastiaan Leerink ◽  
Jan AM Kremer

People who have complex problems affecting multiple areas of their lives need a different approach than people who have singular health conditions. They benefit more from an effectively cooperating support network that explores appropriate ways of providing assistance, rather than a strong focus on outcome-based care.


Author(s):  
Wojciech Polnik ◽  
Jacek Stobiecki ◽  
Aleksander Byrski ◽  
Marek Kisiel‐Dorohinicki

2012 ◽  
Vol 36 (5) ◽  
pp. 458-461 ◽  
Author(s):  
Ros Madden ◽  
Manuela Ferreira ◽  
Stewart Einfeld ◽  
Eric Emerson ◽  
Robert Manga ◽  
...  

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