Decision-making's impact on organizational learning and information overload

Bettis-Outland, Harriette

doi:10.1016/j.jbusres.2010.12.021

Cited by 45 publications

(26 citation statements)

References 62 publications

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“…Many studies were written about decision-making, but we find scarcity in the specialized papers that study the human side of the subject. We underline the importance to distinguish the nuances of decisionmaking in business -comprehensive faced to incremental approach, as recently described by Bettis-Outland [3]. The author proved that in the turbulent and competitive business environments the comprehensive decision-making is more successful than the incremental approach that works best in stable, predictable, less competitive business environments.…”

Section: Introductionmentioning

confidence: 77%

Matrix representation of a binary relation using fuzzy and artificial learning theory. An algorithm which uses the potential functions learning rule

2013

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One of the most significant problems in economic domain is the dispose of human preference and choice forecasting. Recently, the economists have focused their researches to use the fuzzy concepts and the artificial learning procedures in the theory of economic choice. This paper extends the work done in this direction and offers a new algorithm for finding the matrix representation of the fuzzy binary relation which describes a preference relation.

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Section: Introductionmentioning

confidence: 77%

Matrix representation of a binary relation using fuzzy and artificial learning theory. An algorithm which uses the potential functions learning rule

2013

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“…The strategy is connected and interwoven in a continuous process by employees (Sharma & Kaur, 2009;Bettis-Outland, 2012;Elbanna, 2012;Sminia & Rond, 2013) and occurs by understanding the role that they (employees) should play in the management of strategy (Boswell, John, & Alexander, 2006). The various approaches and contemporanes strategic theories have a common factor in guiding employees in the strategy (Sharma & Kaur, 2009;Mintzberg et al, 2009;Sminia & Rond, 2013).…”

Section: Strategy Organization Knowledgementioning

confidence: 99%

“…This study presents an illustration of SOK in strategic socialisation processes among employees from the perspectives of comprehension which is the sense of purpose and main objective to be achieved (Sharma & Kaur, 2009;Elbanna, 2012), the employees participation in the deployment of strategic actions (Boswell et al, 2006;Khadem, 2008;Ouakouak & Ouedraogo, 2013), the influence of communication and integration of employee collaboration (Khadem, 2008;Beehr, Glazer, Fischer, Linton, & Hansen, 2009;Ugboro, Obeng, & Spann, 2011), and continuous learning organization (Nonaka & Toyama, 2005;Bettis-Outland, 2012).…”

Section: Strategy Organization Knowledgementioning

confidence: 99%

“…The strategy is a broad and complex framework of collective influences of the various approaches that integrate and reinforce the mutual form (Andersen, 2004;Mintzberg, Ahlstrand, & Lampel, 2009). The strategy is connected and interwoven in a continuous process by employees (Sharma & Kaur, 2009;Bettis-Outland, 2012;Elbanna, 2012;Sminia & Rond, 2013) to develop coherent and sustainable actions to face the challenges of the organization (Ketokivi &Castañer, 2004).…”

Section: Introductionmentioning

confidence: 99%

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Model Analysis of the Relationship Between Strategic Organization Knowledge and the Use of Information Systems in Firm Performance in Brazil

2014

CBR

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Information Technology (IT) consolidates as an essential element to support the business strategies to survive and rapidly adapts to changes in the competitive environment. This paper examines the impact of the use of information systems (IS) and strategic organization knowledge (SOK) on firm performance in 150 Brazilian companies. The study uses partial least squares structural equation modeling (PLS-SEM) and establishes models to express the relationship among the constructs examined. The study identifies that the direct influence of IS use on performance is moderately significant. However, when mediated by orientation strategy, the total effect of IS use on firm performance is demonstrated to be highly significant. The model explains 54% of the variability of firm performance and confirms IS use as a fundamental resource to support strategic business processes.

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“…The emphasis of human factors in these approaches means the decision makers (i.e., the project actors) are required to have both macro and micro level understanding of process evolutions in a real-time manner, before they can make any appropriate decisions. However, gaining such comprehensive understanding is not an easy task in practice, which could be prevented by certain issues that caused by the data accessibility, information overload or knowledge gap [10,11].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Modelling: Towards Interpreting and Understanding Process Evolution of In-Service Engineering Projects

Shi

Newnes

Culley

et al. 2016

Product Lifecycle Management in the Era of Internet of Things

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Product service plays an essential role in day-today operations of nowadays manufacturing industries. However, the changing demands of the market/customers, the increasing complexity of product functionalities and the extended product lifecycles present challenges to related In-Service projects. In order to handle the increasing number of projects and to control the costs and resource consumptions, it is critical to improve the efficiency and automation of process management. Within this context, this paper introduces some datadriven approaches to interpret and represent changes of project process over time in an automatic manner. These approaches aim to help project actors improve their understanding of process structure and the efficiency of process management, and also enable them to investigate process changes from more dynamic perspectives. To evaluate the approaches, a dataset from an aerospace organisation is considered in this paper.

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Decision-making's impact on organizational learning and information overload

Cited by 45 publications

References 62 publications

Matrix representation of a binary relation using fuzzy and artificial learning theory. An algorithm which uses the potential functions learning rule

Matrix representation of a binary relation using fuzzy and artificial learning theory. An algorithm which uses the potential functions learning rule

Model Analysis of the Relationship Between Strategic Organization Knowledge and the Use of Information Systems in Firm Performance in Brazil

Data-Driven Modelling: Towards Interpreting and Understanding Process Evolution of In-Service Engineering Projects

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