Blending Technology, Human Potential, and Organizational Reality

2016 ◽  
pp. 107-136 ◽  
Author(s):  
Jurgen Janssens
Keyword(s):  
Big Data ◽  
Added Value ◽  
Human Potential ◽  
Project Approach ◽  
True Value ◽  
Big Picture ◽  
Data Ecosystem ◽  
Definition Of ◽  
Complementary Actions ◽  
Organizational Reality

To make the deeply rooted layers of catalyzing technology and optimized modelling gain their true value for education, healthcare or other public services, it is necessary to prepare well the Big Data environment in which the Big Data will be developed, and integrate elements of it into the project approach. It is by integrating and managing these non-technical aspects of project reality that analytics will be accepted. This will enable data power to infuse the organizational processes and offer ultimately real added value. This chapter will shed light on complementary actions required on different levels. It will be analyzed how this layered effort starts by a good understanding of the different elements that contribute to the definition of an organization's Big Data ecosystem. It will be explained how this interacts with the management of expectations, needs, goals and change. Lastly, a closer look will be given at the importance of portfolio based big picture thinking.

Blending Technology, Human Potential, and Organizational Reality

Big Data ◽  
2016 ◽  
pp. 1422-1451
Author(s):  
Jurgen Janssens
Keyword(s):  
Big Data ◽  
Added Value ◽  
Human Potential ◽  
Project Approach ◽  
True Value ◽  
Big Picture ◽  
Data Ecosystem ◽  
Definition Of ◽  
Complementary Actions ◽  
Organizational Reality

To make the deeply rooted layers of catalyzing technology and optimized modelling gain their true value for education, healthcare or other public services, it is necessary to prepare well the Big Data environment in which the Big Data will be developed, and integrate elements of it into the project approach. It is by integrating and managing these non-technical aspects of project reality that analytics will be accepted. This will enable data power to infuse the organizational processes and offer ultimately real added value. This chapter will shed light on complementary actions required on different levels. It will be analyzed how this layered effort starts by a good understanding of the different elements that contribute to the definition of an organization's Big Data ecosystem. It will be explained how this interacts with the management of expectations, needs, goals and change. Lastly, a closer look will be given at the importance of portfolio based big picture thinking.

scholarly journals The Big Data Era: What are the Implications for the World of Accounting?

2020 ◽  
Vol 17 (2) ◽  
pp. 248-254
Author(s):  
Rokhmat Taufiq Hidayat ◽  
Akhmad Khabibi
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Financial Accounting ◽  
Unstructured Data ◽  
Added Value ◽  
Managerial Accounting ◽  
Business World ◽  
The World ◽  
Oxford Dictionary ◽  
Definition Of

In an era where information technology is developing so rapidly as it is now, contact with technology is inevitable. One that may often be heard is the use of big data. Although the development of big data has begun long before, its growth began rapidly since the Oxford Dictionary included the definition of big data in 2013. The use of big data is thought to have a big influence on the business world, and anything that influences the business world will certainly affect the world of accounting. Does the accountant anticipate these changes? In this article, the author tries to explore what allusions might occur between the world of accounting and big data. Big data will increase the complexity of the accounting world by adding unstructured data in the accounting cycle. This presents a challenge for accountants but can also provide far greater added value if accountants are able to use it well. The results of this study indicate that there are at least 3 areas in the field of accounting that are very likely to be exposed to the use of big data, namely in the process of financial accounting, managerial accounting, and auditing

ANALYSIS OF INNOVATION ACTIVITIES OF ENTERPRISES OF KAZAKHSTAN

2020 ◽  
Vol 384 (2) ◽  
pp. 137-145
Author(s):  
Zh. Abylkassimova ◽  
G. Orynbekova ◽  
М. Alibayeva ◽  
O. Osadchaya
Keyword(s):  
Key Words ◽  
Added Value ◽  
Human Potential ◽  
Innovation Activity ◽  
Factors Affecting ◽  
Innovation Potential ◽  
Innovation Activities ◽  
Innovation Economy

The article noted that the development of the innovation potential of enterprises in the regions of Kazakhstan contributes to the transition of the innovation economy, where goods with high added value will be produced. The article examines the factors affecting the innovation activity of the regions, considers the dynamics of innovation activity and identifies problems and tools for the development of innovative entrepreneurship. Key words: innovation, innovation activity, region, industrialization, human potential, infrastructure

scholarly journals DaLiF: a data lifecycle framework for data-driven governments

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Syed Iftikhar Hussain Shah ◽  
Vassilios Peristeras ◽  
Ioannis Magnisalis
Keyword(s):  
Big Data ◽  
Data Management ◽  
Good Governance ◽  
Business Community ◽  
Data Driven ◽  
Governmental Organizations ◽  
Data Lifecycle ◽  
The Government ◽  
Data Ecosystem ◽  
Governance Transparency

AbstractThe public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big data. Public Administrations (PAs) pursue big data as “new oil” and implement data-centric policies to transform data into knowledge, to promote good governance, transparency, innovative digital services, and citizens’ engagement in public policy. From the above, the Government Big Data Ecosystem (GBDE) emerges. Managing big data throughout its lifecycle becomes a challenging task for governmental organizations. Despite the vast interest in this ecosystem, appropriate big data management is still a challenge. This study intends to fill the above-mentioned gap by proposing a data lifecycle framework for data-driven governments. Through a Systematic Literature Review, we identified and analysed 76 data lifecycles models to propose a data lifecycle framework for data-driven governments (DaliF). In this way, we contribute to the ongoing discussion around big data management, which attracts researchers’ and practitioners’ interest.

scholarly journals Understanding Social Impact and Value Creation in Hybrid Organizations: The Case of Italian Civil Service

2021 ◽  
Vol 13 (7) ◽  
pp. 4058
Author(s):  
Paolo Esposito ◽  
Valerio Brescia ◽  
Chiara Fantauzzi ◽  
Rocco Frondizi
Keyword(s):  
Value Chain ◽  
Social Impact ◽  
Civil Service ◽  
Added Value ◽  
Hybrid Organizations ◽  
Case Study Analysis ◽  
Public Resources ◽  
Five Elements ◽  
Definition Of ◽  
The Impact

The aim of this paper is twofold: first, it aims to analyze what kind of value is generated by hybrid organizations and how; second, it aims to understand the role of social impact assessment (SIA) in the measurement of added value, especially in terms of social and economic change generated by hybrids. Hybrid organizations are a debated topic in literature and have different strengths in responding to needs, mainly in the public interest. Nevertheless, there are not many studies that identify the impact and change generated by these organizations. After highlighting the gap in the literature, the study proposes an innovative approach that combines SIA, interview, interventionist approach and documental analysis. The breakdown of SIA through the five elements of the value chain (inputs, activities, outputs, outcomes, and impact) guarantees a linear definition of the value generated through change with procedural objectivity capable of grasping hybrid organizations’ complexity. The value generated or absorbed is the change generated by the impact measured based on the incidence of public resources allocated. Through the SIA and counterfactual approach, the civil service case study analysis highlights how the value generated by public resources can be measured or more clearly displayed in the measurement process itself.

scholarly journals FEM Simulations for the Optimization of the Inlet Gate System in Rapid Investment Casting Process for the Realization of Heat Exchangers

2021 ◽  
Author(s):  
D. Almonti ◽  
G. Baiocco ◽  
E. Mingione ◽  
N. Ucciardello
Keyword(s):  
Investment Casting ◽  
Heat Exchangers ◽  
Complex Geometry ◽  
Heat Pipes ◽  
Casting Process ◽  
Added Value ◽  
Cad Models ◽  
Gate System ◽  
Definition Of ◽  
Metallic Parts

AbstractOver the last decades, additive manufacturing (AM) has become the principal production technology for prototypes and components with high added value. In the production of metallic parts, AM allows producing complex geometry with a single process. Also, AM admits a joining of elements that could not be realized with traditional methods. In addition, AM allows the manufacturing of components that could not be realized using other types of processes like reticular structures in heat exchangers. A solid mold investment casting that uses printed patterns overcomes typical limitations of additive processes such as expensive machinery and challenging process parameter settings. Indeed, rapid investment casting provides for a foundry epoxy pattern reproducing the component to exploit in the lost wax casting process. In this paper, aluminium radiators with flat heat pipes seamlessly connected with a cellular structure were conceived and produced. This paper aims at defining and investigating the principal foundry parameters to achieve a defect-free heat exchanger. For this purpose, different device CAD models were designed, considering four pipes’ thickness and length. Finite element method numerical simulations were performed to optimize the design of the casting process. Three different gate configurations were investigated for each length. The numerical investigations led to the definition of a castability range depending on flat heat pipes geometry and casting parameters. The optimal gate configuration was applied in the realization of AM patterns and casting processes

The SWORFISH Project Approach for Modeling Wood Material Modifications in Timber Structures

2013 ◽  
Vol 778 ◽  
pp. 418-423
Author(s):  
Jakub Sandak ◽  
Anna Sandak ◽  
Mariapaola Riggio ◽  
Ilaria Santoni ◽  
Dusan Pauliny
Keyword(s):  
Experimental Data ◽  
Expert Knowledge ◽  
Surface Finishing ◽  
Special Focus ◽  
Original Material ◽  
Timber Structures ◽  
Wood Material ◽  
Project Approach ◽  
Special Software ◽  
Definition Of

A special software simulating changes to wood due to various processes (either treatment or degradation) has been developed within the SWORFISH (Superb Wood Surface Finishing) project. The definition of the material modifications due to processes is based on the expert knowledge and/or experimental data. The dedicated algorithm simulates material modifications (with a special focus on surface) taking into account original material characteristics (evaluated by means of NDT techniques) and setting of process parameters. In this way, it is possible to analyze the sequence of processes (i.e. material modifications) and to estimate properties of the resulting product. Two case studies are presented for illustration of the potential uses of the SWORFISH approach in the field of timber structures.

The Big Picture: Big Data Computing

CHANCE ◽  
2013 ◽  
Vol 26 (2) ◽  
pp. 28-32 ◽  
Author(s):  
Nicole Lazar
Keyword(s):  
Big Data ◽  
Big Picture ◽  
Big Data Computing

AS A DIGITAL TECHNOLOGY SUCH AS BIG DATA CAN BECOME A TOOL AGAINST SOCIETY

2020 ◽  
Author(s):  
Vladislav Andreyevich Shcherbakov ◽  
◽  
Svetlana Aleksandrovna Chevereva ◽  
Keyword(s):  
Big Data ◽  
Digital Technology ◽  
State Level ◽  
The State ◽  
People’S Republic Of China ◽  
People's Republic Of China ◽  
Republic Of China ◽  
Total Control ◽  
Definition Of ◽  
Big Data Technology

The definition of the term Big Date is given. Particular attention is paid to how, in practice, Big Data technology is being introduced into people's lives at the state level and how it can be used for total control using the example of the People’s Republic of China.

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