scholarly journals How Does the External Integration and Internal Sharing of Big Data Influence Organizational Innovation? The Roles of Strategic Learning and Market Responsiveness

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 192-203
Author(s):  
Xiaohong Xiao ◽  
Yuqi Zhu ◽  
Yuxi Zhu ◽  
Qing Zhao
Keyword(s):  
Big Data ◽  
Organizational Innovation ◽  
Strategic Learning ◽  
Market Responsiveness

scholarly journals Dynamic capabilities analysis in strategic management of learning and knowledge absorption

2017 ◽  
Vol 16 (1) ◽  
pp. 227-260 ◽  
Author(s):  
José G. Vargas-Hernández ◽  
Gabriela Muratalla-Bautista
Keyword(s):  
Strategic Management ◽  
Dynamic Capabilities ◽  
Organizational Innovation ◽  
Strategic Learning ◽  
Management Knowledge ◽  
Knowledge Absorption

 The objective of this study is to review the new trends in theoretical empirical and methodological investigations to analyze the dynamic capabilities of organizations that stablish the connections to manage the absorption of knowledge. The analysis begins with the assumption that the generation and development of dynamic capabilities of an organization positively favor the design of and execution of the processes to manage learning and that they define the processes of knowledge absorption. The method focuses on a theoretical and methodological analysis of the effective literature to obtain the main connections among the different ways to apply it in the Mexican context. Therefore, the conclusion is that the generation and development of management knowledge in dynamic capabilities of the organizations leads to the strategic learning and the possibilities to absorb this knowledge into organizational innovation.    Keywords: Absorption of knowledge. Dynamic capabilities. Strategic management of learning. Resumo Neste trabalho teve-se como objetivo analisar os progressos na pesquisa teórico-metodológica e empírica para analisar as capacidades dinâmicas de organizações que estabelecem as conexões para gerenciar a absorção do conhecimento. A análise parte do pressuposto de que a geração e o desenvolvimento de capacidades dinâmicas de uma organização devem incentivar positivamente a concepção e a implementação de processos de aprendizagem e de gestão que determinam a absorção do conhecimento. O método está voltado a uma análise teórica e metodológica da literatura efetiva para obter as principais conexões entre as diferentes formas de aplicá-la ao contexto mexicano. Assim, conclui-se que a geração e o desenvolvimento de conhecimentos de gestão em termos de capacidades dinâmicas das organizações levam à  aprendizagem estratégica e ao potencial de absorção desse conhecimento em inovação organizacional.Palavras-chave: Absorção de conhecimentos. Capacidades dinâmicas. Gestão estratégica de aprendizagem.

The role of marketing and innovation in services

2020 ◽  
pp. 55-76
Author(s):  
Luigi M De Luca ◽  
Keyword(s):  
Big Data ◽  
Behavior Pattern ◽  
Superior Performance ◽  
Theoretical Approaches ◽  
Conditional Effects ◽  
Big Data Technologies ◽  
Market Responsiveness ◽  
And Performance ◽  
The Impact

Big data technologies and analytics enable new digital services and are often associated with superior performance. However, firms investing in big data often fail to attain those advantages. To answer the questions of how and when big data pay off, marketing scholars need new theoretical approaches and empirical tools that account for the digitized world. Building on affordance theory, the authors develop a novel, conceptually rigorous, and practice-oriented framework of the impact of big data investments on service innovation and performance. Affordances represent action possibilities, namely what individuals or organizations with certain goals and capabilities can do with a technology. The authors conceptualize and operationalize three important big data marketing affordances: customer behavior pattern spotting, real-time market responsiveness, and data-driven market ambidexterity. The empirical analysis establishes construct validity and offers a preliminary nomological test of direct, indirect, and conditional effects of big data marketing affordances on perceived big data performance.

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Complex Problem Solving and Worked Examples

2009 ◽  
Vol 23 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Florian Schmidt-Weigand ◽  
Martin Hänze ◽  
Rita Wodzinski
Keyword(s):  
Problem Solving ◽  
Cognitive Load ◽  
Learning Experience ◽  
Worked Examples ◽  
Complex Problem ◽  
Complex Problem Solving ◽  
Strategic Learning ◽  
Learning Behavior ◽  
Worked Example ◽  
8Th Grade

How can worked examples be enhanced to promote complex problem solving? N = 92 students of the 8th grade attended in pairs to a physics problem. Problem solving was supported by (a) a worked example given as a whole, (b) a worked example presented incrementally (i.e. only one solution step at a time), or (c) a worked example presented incrementally and accompanied by strategic prompts. In groups (b) and (c) students self-regulated when to attend to the next solution step. In group (c) each solution step was preceded by a prompt that suggested strategic learning behavior (e.g. note taking, sketching, communicating with the learning partner, etc.). Prompts and solution steps were given on separate sheets. The study revealed that incremental presentation lead to a better learning experience (higher feeling of competence, lower cognitive load) compared to a conventional presentation of the worked example. However, only if additional strategic learning behavior was prompted, students remembered the solution more correctly and reproduced more solution steps.

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

When the Sample Is the Population: Big Data

PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  
Big Data
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