Expliciting Tacit Knowledge

2017 ◽  
pp. 30-52
Author(s):  
George Leal Jamil ◽  
Ângela Do Carmo Carvalho Jamil
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Tacit Knowledge ◽  
Conceptual Development ◽  
Future Trends ◽  
Theoretical View ◽  
Practical Analysis ◽  
Points Of View

Organizations are still confused about tacit knowledge principles, conceptualization and applications. In this chapter, authors approach how tacit knowledge can be valuable for practical decisions and implementations, from theoretical and practical points of view. Approaching from the theoretical view, tacit knowledge definition was discussed, as it results from a conceptual development already adopted for several decades. From practical analysis, actual and future trends arise, as its applications and influences were consolidated, in the perspective on associating tacit knowledge with explicit, for planning, designing and implementing real businesses solutions. Modern competitive features and propositions, such as big data, information technology insertion and startups entrepreneurships are also discussed, serving as an orientation for new studies, as tacit knowledge plays a differential role for new ages of value-aggregation arrays.

The Link Between Innovation and Prosperity

2019 ◽  
pp. 200-217
Author(s):  
Sonia Chien-i Chen ◽  
Radwan Alyan Kharabsheh
Keyword(s):  
Big Data ◽  
Tacit Knowledge ◽  
Potential Risk ◽  
Data Sets ◽  
Future Trends ◽  
Data Governance ◽  
Massive Data Sets ◽  
Digital Era ◽  
Growth Of Knowledge ◽  
The Individual

The digital era accelerates the growth of knowledge to such an extent that it is a challenge for individuals and society to manage it traditionally. Innovative tools are introduced to analyze massive data sets for extracting business value cost-effectively and efficiently. These tools help extract business intelligence from explicit information, so that tacit knowledge can be transferred into actionable insights. Big data are relevantly fashionable because of their accuracy and the capability of predicting future trends. They show their mightiness of bringing business prosperity from supermarket giants to businesses and disciplines of all kinds. However, with data widely spreading, people are concerning their potential risk of increasing inequality and threatening democracy. Big data governance is needed, if people want to keep their private right. This chapter explores how big data can be governed for maintaining the benefits of the individual and society. It aims to allow technology to humanize the digital era, so that people can be benefited from living in the present.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

scholarly journals Towards Implementation of Big Data Concepts in a Pharmaceutical Company

2020 ◽  
Vol 10 (1) ◽  
pp. 343-356
Author(s):  
Snezana Savoska ◽  
Blagoj Ristevski
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Pharmaceutical Company ◽  
Big Data Analytics ◽  
Structured Interviews ◽  
Holistic View ◽  
Analysis Methodology ◽  
Decision Making Processes ◽  
Research Demands

AbstractNowadays, big data is a widely utilized concept that has been spreading quickly in almost every domain. For pharmaceutical companies, using this concept is a challenging task because of the permanent pressure and business demands created through the legal requirements, research demands and standardization that have to be adopted. These legal and standards’ demands are associated with human healthcare safety and drug control that demands continuous and deep data analysis. Companies update their procedures to the particular laws, standards, market demands and regulations all the time by using contemporary information technology. This paper highlights some important aspects of the experience and change methodology used in one Macedonian pharmaceutical company, which has employed information technology solutions that successfully tackle legal and business pressures when dealing with a large amount of data. We used a holistic view and deliverables analysis methodology to gain top-down insights into the possibilities of big data analytics. Also, structured interviews with the company’s managers were used for information collection and proactive methodology with workshops was used in data integration toward the implementation of big data concepts. The paper emphasizes the information and knowledge used in this domain to improve awareness for the needs of big data analysis to achieve a competitive advantage. The main results are focused on systematizing the whole company’s data, information and knowledge and propose a solution that integrates big data to support managers’ decision-making processes.

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