A Network Optimization Approach for Improving Organizational Design

Carley, Kathleen M.; Kamneva, Natalia Y.

doi:10.21236/ada460030

Cited by 13 publications

(11 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…She has proposed that the same techniques used to engineer a product to meet some set of specifications can be applied to organisations and that it should be possible to design an organisation, group, or team, so that it is "optimal" given some set of criteria (Carley and Kamneva, 2004). We believe this approach could be complemented with sensor data from social interactions in order to initialize simulation parameters and solve optimisation problems.…”

Section: Organisational Engineeringmentioning

confidence: 99%

Sensor-based organisational design and engineering

Olguín-Olguín

Pentland

2010

IJODE

View full text Add to dashboard Cite

Abstract:We propose a sensor-based organisational design and engineering approach that combines behavioural sensor data with other sources of information such as e-mail, surveys, and performance data in order to design interventions aimed at improving organizational outcomes. We discuss relevant theory and technology backgrounds and describe the general requirements of a sensor-based organizational design and engineering system. We present an experimental platform that combines sensor measurements, pattern recognition algorithms, statistical analysis, social network analysis, and feedback mechanisms to study the relationship between social signalling behaviour and face-to-face interaction networks, with job attitudes and performance. We describe three case studies that we have conducted in several organisations using our experimental platform and the methodology that we have followed. The first study looks at e-mail and face-to-face networks in a marketing division of a bank. The second study analyses the effects of nurses" social behaviour on patients" length of stay in the postanaesthesia care unit of a hospital. Finally, the third study analyses the effects of retail bank employees" social behaviour on sales performance. Keywords: Organisational design; organisational engineering; organisational behaviour; sociometric badges; social sensors; interventions.Reference to this paper should be made as follows: Olguín Olguín, D. and Pentland, A. D. Olguín Olguín and A. PentlandAlex (Sandy) Pentland is a pioneer in wearable computers, mobile information systems, technology for developing countries, consumer health, and computational social science. He is one of the most-cited computer scientists in the world, and has won numerous international awards in the Arts, Sciences and Engineering. He is a co-founder of the Wearable Computing research community, the Autonomous Mental Development research community, the Center for Future Health, and was the founding director of the Media Lab Asia. He was formerly the Academic Head of the MIT Media Laboratory and is now MIT"s Toshiba Professor of Media Arts and Sciences. He is the founder and current faculty director of the Human Dynamics group. Pentland"s focus is on the development of human-centred technology, and the creation of ventures that take this technology into the real world. His work provides people with a clearer picture of their social environments, and helps companies and communities to reinvent themselves to be both more human and more productive.

show abstract

Section: Organisational Engineeringmentioning

confidence: 99%

Sensor-based organisational design and engineering

Olguín-Olguín

Pentland

2010

IJODE

View full text Add to dashboard Cite

show abstract

“…If we would like to get comprehensive treatment of organizational transformation, we should be able to understand, predict, and facilitate both naturally occurring and CEO initialized adaptation and change. There is also one more way of organizational change to be a result of optimization process when we apply it to find an optimal organizational design in terms of maximization or minimization of particular DNA metrics [3].…”

Section: Team Transformation Problemmentioning

confidence: 99%

“…MG is the representation of the structure to which we want the organization to move. Any alternative structure can serve as the goal structure MG. For example, MG might be generated using optimization routines as the optimal structure as we described in [3]. In this case we use morphing to find a path with certain properties (such as minimal total path cost) that the organization can take to move itself from the state where it is MO to where it is desired to go MG.…”

Section: Organizational Morphingmentioning

confidence: 99%

“…This fact determined our decision to use the simulated annealing method (SA) for the optimizing of the path between the source state and the goal state of the matrix. We already successfully used simulated annealing method in our work for improving organizational design [3]. In fact, simulated annealing can be used as a global optimizer for difficult functions.…”

Section: Applying the Simulated Annealing To Minimizing The Total Patmentioning

confidence: 99%

See 1 more Smart Citation

Organizational Morphing Technology

Carley¹,

Kamneva²,

Reminga³

2004

Self Cite

View full text Add to dashboard Cite

Each unit (organization, team or group) has a particular structure. This structure is often referred to as the command and control structure. This structure is efficiently represented as a series of interconnected graphs of networks where the nodes in the network are personnel, resources, tasks, and knowledge. Such representation of units as networks makes it possible to compare and contrast the command and control structure of different units. It also makes it possible to find an optimal organizational design given a particular mission.There is a need in social network analysis to predict and manage changes with organizations and teams. Altering the command and control structure of organizational units might be expensive and have drastic impact on their performance. Hence there is a need for automated tools that can locate cost effective and minimally disruptive paths of change. These tools should be able to formalize a theory of organizational adaptation and provide the basis for its understanding and predicting. We called the methodology that we are using to develop such tools a constraint based morphing technology.This report considers different methods of searching the optimal path between the source and goal structure. We introduce in this report the new optimization method of finding a cheapest path, based on the Simulated Annealing algorithm. We also introduce a new approach for computing a cost function, based on the Dynamic Network Analysis (DNA) metric called the Edge Betweenness Centrality.

show abstract

“…Sauerbrei et al (2007), Ward (2008), Lee and Ghosh (2009) and Raffalovich et al (2008) employed the step-type procedures in selecting best subset of regressors. Carley and Kamneva (2004) used the simulated annealing method for searching the best subset of regressors. Hastie et al (2009) used the Sequential Search (SS) method to find optimal subsets of variables for a specified model size.…”

Section: Introductionmentioning

confidence: 99%

On the Adequacy of Variable Selection Techniques on Model Building

Iwundu¹,

Efezino²

2014

Asian J. of Mathematics & Statistics

View full text Add to dashboard Cite

The adequacy of variable selection techniques on model building is examined using the drying characteristics of fresh grains. Three selection techniques (forward selection, backward elimination and stepwise methods) are employed each of which identifies a series of models assumed to be adequate. From the resulting models for each technique, the most suitable model is determined using standard assessment criteria namely, R 2 , R 2 adj , PRESS, AIC and C p -statistic. In addition to the standard assessment criteria, the D-optimality criterion is examined and presented as a criterion for measuring the goodness and adequacy of regression models. Results show that under the forward selection and stepwise regression methods, each assessment criterion locates the same model. Variation seems to exist using backward elimination technique.

show abstract

A Network Optimization Approach for Improving Organizational Design

Cited by 13 publications

References 14 publications

Sensor-based organisational design and engineering

Sensor-based organisational design and engineering

Organizational Morphing Technology

On the Adequacy of Variable Selection Techniques on Model Building

Contact Info

Product

Resources

About