Architectural Knowledge in Action: Organizational Boundaries, Team Familiarity, and Managing Interdependence in Formula One TEAMS

2021 ◽  
Author(s):  
Charles Williams
Keyword(s):  
Organizational Boundaries ◽  
Formula One ◽  
Architectural Knowledge ◽  
Team Familiarity

The 3rd Dimension of Innovation Processes

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Christos CHANTZARAS
Keyword(s):  
Linear Models ◽  
Building Design ◽  
Integrative Approach ◽  
Organizational Boundaries ◽  
Relational Models ◽  
Basic Principles ◽  
3 Dimensional ◽  
Innovation Research ◽  
Specific Skill ◽  
Innovation Processes

Architects understand and visualize organizations and processes differently from their counterparts in management disciplines. With the increasing complexities of markets and blurring of organizational boundaries, linear models of innovation processes are unable to account for the range of possible  interrelations and interdependencies. Design-led disciplines have become of interest in providing frames and ‘design’ structures for fostering innovation. Though it deals specifically with the conceptualization and realization of R&D and innovation centres, architecture has been largely overlooked in this regard. This paper explains how architects’ approach to reframing complexities, focussing on social interactions and shaping invisible patterns prior to building design offers new perspectives for innovation research. It critically reviews the changing context of innovation and relational models in the literature, and outlines the relevance of integrating spatial proximities and time for a constructive 3-dimensional representation. Via two case studies, the basic principles for the development of an integrative approach are sketched out and suggestions made for further research. The specific skill-set and thinking of architects offers a 3rd dimension of innovation processes.

Discovering Architecture

2017 ◽  
Author(s):  
Matthew Walker
Keyword(s):  
Early Modern ◽  
Ancient World ◽  
Ancient Athens ◽  
Early Modern English ◽  
Degree Of Confidence ◽  
Architectural Principles ◽  
The Subject ◽  
Architectural Knowledge

This chapter deals with the genesis of architectural knowledge. In particular, it explores those rare moments when early modern English authors wrote about newly discovered examples of ancient architecture, the most important forms of architectural knowledge that existed. I will discuss three such accounts (all published in the Philosophical Transactions) of Roman York, Palmyra, and ancient Athens. These three texts share a preoccupation with truth and accuracy, as befitted the task of communicating highly sought-after architectural knowledge. They also demonstrate the degree of confidence of English writers in this period, not only in how they interpreted ancient architecture, but also in how they sought to criticize previous European authors on the subject. But most importantly, these texts reveal the extent of English intellectuals’ knowledge of the architectural principles of the ancient world and how that knowledge was in a state of flux.

Introduction

2017 ◽  
Author(s):  
Matthew Walker
Keyword(s):  
Seventeenth Century ◽  
Intellectual History ◽  
Formative Period ◽  
Classical Architecture ◽  
Historical Method ◽  
Definition Of ◽  
Architectural Knowledge

The Introduction uses a major source from the beginning of the period—Sir Christopher Wren’s Letter from Paris of 1665—to introduce the key themes of the book. In particular, the Introduction discusses the recourse to an intellectual-historical method in order to rethink major themes in English architectural culture at the time. It also explains the makeup of architectural knowledge in the period and justifies the book’s focus on aesthetic knowledge rather than practical. Finally, it uses seventeenth-century sources to formulate an appropriate definition of classical architecture (on which this book is exclusively focused). The Introduction concludes with a summary of the ensuing chapters and a proposition that architecture was among the most serious and important of all intellectual pursuits in a formative period in English intellectual history.

Networks, Status, and Inequality

2020 ◽  
pp. 97-115
Author(s):  
John Levi Martin ◽  
James P. Murphy
Keyword(s):  
Network Data ◽  
Organizational Boundaries ◽  
Single Class ◽  
Cultural Products ◽  
The Status

The notion that there is a single class of objects, “networks,” has been a great inspiration to new forms of structural thinking. Networks are considered to be a set of largely voluntary ties that often span organizational boundaries. Despite being divorced from formal hierarchies, they make possible other forms of differentiation, such as status. It is common for network data to be used to produce measures of the status of the nodes (individuals, organizations, cultural products, etc.) and the distribution of these statuses to describe a backdrop of inequality that may condition action or other processes. However, it is also important that network researchers understand the backdrop of various forms of potential inequality that may condition the collection of network data.

Surgical Team Familiarity: An Integrative Review

AORN Journal ◽  
2020 ◽  
Vol 113 (1) ◽  
pp. 64-75
Author(s):  
Christopher H. Stucky ◽  
Marla J. De Jong
Keyword(s):  
Integrative Review ◽  
Surgical Team ◽  
Team Familiarity

Team Learning Behaviors and Performance: A Meta-Analysis of Direct Effects and Moderators

2021 ◽  
pp. 105960112110169
Author(s):  
Christopher W. Wiese ◽  
C. Shawn Burke ◽  
Yichen Tang ◽  
Claudia Hernandez ◽  
Ryan Howell
Keyword(s):  
Team Performance ◽  
Team Learning ◽  
Task Complexity ◽  
Meta Analysis ◽  
Sample Type ◽  
Learning Behaviors ◽  
Learning Teams ◽  
And Performance ◽  
The Relationship ◽  
Team Familiarity

Under what conditions do team learning behaviors best predict team performance? The current meta-analytic efforts synthesize results from 113 effect sizes and 7758 teams to investigate how different conceptualizations (fundamental, intrateam, and interteam), team characteristics (team size and team familiarity), task characteristics (interdependence, complexity, and type), and methodological characteristics (students vs. nonstudents and measurement choice) affect the relationship between team learning behaviors and team performance. Our results suggest that while different conceptualizations of team learning behaviors independently predict performance, only intrateam learning behaviors uniquely predict performance. A more in-depth investigation into the moderating conditions contradicts the familiar adage of “it depends.” The strength of the relationship between intrateam learning behaviors and team performance did not depend on team familiarity, task complexity, or sample type. However, our results suggested this relationship was stronger in larger teams, teams with moderate task interdependence, teams performing project/action tasks, and studies that use measures that capture a wider breadth of the team learning behavior construct space. These efforts suggest that common boundary conditions do not moderate this relationship. Scholars can leverage these results to develop more comprehensive theories addressing the different conceptualizations of team learning behaviors as well as providing clarity on the scenarios where team learning behaviors are most needed. Further, practitioners can use our results to develop more guided team-based policies that can overcome some of the challenges of forming and developing learning teams.

In a flash of time: knowledge resources that enable professional cross-boundary work

2020 ◽  
Author(s):  
David Cross ◽  
Juani Swart
Keyword(s):  
High Speed ◽  
Work Organization ◽  
Project Teams ◽  
Professional Work ◽  
Organizational Boundaries ◽  
Knowledge Resources ◽  
Network Organizations ◽  
Fast Pace ◽  
Project Network ◽  
Or Organization

Abstract In this paper, we highlight the networked context of the professions. In particular, we indicate that neo-classical professionals tend to work across organizational boundaries in project teams, often to meet the needs of clients and the wider society. However, little is known about the resources that professionals draw on to meet immediate, fast paced, client demands in project network organizations (PNOs). We pinpoint how knowledge resources, human, social and organizational capital enable professionals to produce outputs at a fast pace/tempo. Temporality emerged as an unexpected but key issue in our empirical research and we explore this further here. First, we put forward how professional work organization(s) has changed by focusing on the boundaries of organizations, and how this is often temporary and project-driven. Second, we use the specific lens of knowledge resources which are drawn upon to enable networked working and ask the question: which knowledge resources enable professionals to work at a fast pace within networks? Third, appreciative of the vast literature on temporary and networked organizations in professional work, our focus is beyond a single profession or organization, and hence, we build upon the prior research on PNOs. We do this by drawing on empirical data of a humanitarian aid project networked organization (HN) that upscales across its network at high speed, often within days, to generate funds for humanitarian disasters in order to save lives.

scholarly journals Quaternionic contact 4n + 3-manifolds and their 4n-quotients

2021 ◽  
Author(s):  
Yoshinobu Kamishima
Keyword(s):  
Scalar Curvature ◽  
Lie Group ◽  
Contact Structure ◽  
Einstein Manifolds ◽  
Hermitian Metrics ◽  
Kähler Metric ◽  
Formula One ◽  
Quaternion Space ◽  
Kahler Metric ◽  
Do So

AbstractWe study some types of qc-Einstein manifolds with zero qc-scalar curvature introduced by S. Ivanov and D. Vassilev. Secondly, we shall construct a family of quaternionic Hermitian metrics $$(g_a,\{J_\alpha \}_{\alpha =1}^3)$$ ( g a , { J α } α = 1 3 ) on the domain Y of the standard quaternion space $${\mathbb {H}}^n$$ H n one of which, say $$(g_a,J_1)$$ ( g a , J 1 ) is a Bochner flat Kähler metric. To do so, we deform conformally the standard quaternionic contact structure on the domain X of the quaternionic Heisenberg Lie group$${{\mathcal {M}}}$$ M to obtain quaternionic Hermitian metrics on the quotient Y of X by $${\mathbb {R}}^3$$ R 3 .

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