A synergetic model for the verbal transformation effect

The term BIG DATA has been increasingly used recently. Big data refers to the massive amount of data that are processed and analyzed using sophisticated technology to gain relevant insights that will help top executives with the decision-making process. This study is an attempt to investigate the big data implementation in organizations. The literature review reveals an initial model of indicators that might affect big data implementation. This model was examined and extended by primary data collected from key people (CEO and managers) from ten organizations. The extended model of indicators, which is the result from this research, includes the factors that would affect the success or failure of big data implementation in organizations. The research findings showed the following factors: top management support, organizational change, IT infrastructure, skilled professional, contents (i.e. data), data strategy, data privacy and security.

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Verbal transformation as a function of boredom susceptibility, attention maintenance, and exposure time

Bulletin of the Psychonomic Society ◽

10.3758/bf03335021 ◽

1979 ◽

Vol 13 (2) ◽

pp. 87-89 ◽

Cited By ~ 4

Author(s):

Richard S. Calef ◽

Ruth A. Calef ◽

Edward Piper ◽

Debra J. Shipley ◽

Cynthia D. Thomas ◽

...

Keyword(s):

Exposure Time ◽

Verbal Transformation

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Verbal transformation effect: effect of context on subjects' reported verbal transformations

The Journal of the Acoustical Society of America ◽

10.1121/1.1920051 ◽

1974 ◽

Vol 55 (S1) ◽

pp. S87-S87

Author(s):

Norman J. Lass ◽

Kathryn N. Silvis ◽

Susan A. Settle

Keyword(s):

Verbal Transformation

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The locus of the verbal transformation effect: Two tests of the predictions of the Node Structure Theory

The Journal of the Acoustical Society of America ◽

10.1121/1.420643 ◽

1997 ◽

Vol 102 (5) ◽

pp. 3135-3135

Author(s):

Lisa C. Shoaf ◽

Mark A. Pitt

Keyword(s):

Structure Theory ◽

Verbal Transformation

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Non-linear forecasting of the state of a socio-eco-oriented innovative economy in the conditions of systemic crises

SHS Web of Conferences ◽

10.1051/shsconf/20196506007 ◽

2019 ◽

Vol 65 ◽

pp. 06007

Author(s):

Sultan Ramazanov ◽

Oleksandr Chernyak ◽

Bogdan Tishkov ◽

Renat Ahmedov ◽

Oleksandr Honcharenko

Keyword(s):

Complex Systems ◽

Growth Dynamics ◽

The State ◽

Linear Phase ◽

Dynamics Model ◽

Modeling And Forecasting ◽

Non Linear ◽

Innovative Economy ◽

Synergetic Model ◽

Systemic Crises

The paper deals with the problem of sustainable development and innovative integral modeling and forecasting approach in the management of technogenic objects and processes (TOP) as a system of socio-eco-economic and humanitarian type (SEEH). Based on the use of information and innovation technologies in order to forecast the non-linear dynamics of eco-economic and socio-humanitarian systems, integrated stochastic models of objects and processes were developed and studied, suitable for the conditions of systemic crises. The paper handles the aspect of integration of 4 business and functioning areas of the modern complex systems. It proposes a general conceptual integrated model, generalized synergetic model of dynamics, considering different uncertainty (stochastic and chaotic components). The paper examines the aspects of integration of multiple business areas and sectors of the modern complex systems functioning and developing under the present conditions of non-linearity, instability and crises. An integrated stochastic non-linear phase-space growth dynamics model was developed and studied to forecast the development of the state of an innovative economy. The paper looks into the aspects of activity management of the modern complex systems functioning and developing under the present conditions of instability.

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