scholarly journals Data Fairy in Engineering Land: The Magic of Data Analysis as a Sociotechnical Process in Engineering Companies

2020 ◽  
Vol 142 (12) ◽  
Author(s):  
Claudia Eckert ◽  
Ola Isaksson ◽  
Calandra Eckert ◽  
Mark Coeckelbergh ◽  
Malin Hane Hagström
Keyword(s):  
Data Analysis ◽  
Data Science ◽  
Participant Observation ◽  
Manufacturing Companies ◽  
Process Data ◽  
Ethical Implications ◽  
Data Scientist ◽  
Engineering Organization ◽  
Access To Data

Abstract In the era of digitalization, manufacturing companies expect their growing access to data to lead to improvements and innovations. Manufacturing engineers will have to collaborate with data scientists to analyze the ever-increasing volume of data. This process of adopting data science techniques into an engineering organization is a sociotechnical process fraught with challenges. This article uses a participant observation case study to investigate and discuss the sociotechnical nature of the adoption data science technology into an engineering organization. In the case study, a young data scientist/statistician interacted with experienced production engineers in a global automotive organization to mutual satisfaction. However, the case study highlights the mis-aligned expectations between engineers and data scientists and knowledge in what is necessary to successfully benefit from manufacturing process data. The results reveal that the engineers had an initially romantic and idealistic view on how data scientists can bring value out of dispersed and complex information residing in the multisite manufacturing organization’s datasets in a “magic” way. Conversely, the data scientist had not enough engineering and contextual understanding to ask the right questions. The case reveals important shortcomings in the sociotechnical processes that undergo changes as digitalization is brought into mature engineering organizations and points to a lack of knowledge on multiple levels of the data analysis process and the ethical implications this could have.

Data Science and Big Data Analytics in Financial Services

Web Services ◽  
2019 ◽  
pp. 1301-1329
Author(s):  
Suren Behari ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Services ◽  
Data Science ◽  
Big Data Analytics ◽  
Disruptive Innovation ◽  
Big Data Analysis ◽  
Future Trends ◽  
The Right

The chapter discusses how Financial Services organizations can take advantage of Big Data analysis for disruptive innovation through examination of a case study in the financial services industry. Popular tools for Big Data Analysis are discussed and the challenges of big data are explored as well as how these challenges can be met. The work of Hayes-Roth in Valued Information at the Right Time (VIRT) and how it applies to the case study is examined. Boyd's model of Observe, Orient, Decide, and Act (OODA) is explained in relation to disruptive innovation in financial services. Future trends in big data analysis in the financial services domain are explored.

scholarly journals Imperative Speech in Learning Process at TK Badak Mekar, Muara Badak, Kutai Kartanegara: A Pragmatic Analysis

2018 ◽  
Vol 1 (1) ◽  
pp. 8
Author(s):  
Yusak Hudiyono ◽  
Suhana Suhana
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Learning Process ◽  
Participant Observation ◽  
Structural Form ◽  
Conversational Analysis ◽  
Process Data ◽  
Pragmatic Analysis ◽  
Analysis Technique ◽  
Low Tone

<em><span lang="EN-US">This study aims to describe the speech of kindergarten teachers Badak Mekar, Muara Badak, Kutai Kartanegara covering (1) imperative form, (2) imperative politeness. Data analysis used conversational analysis with pragmatic analysis technique. The validity of the data is obtained through observational persistence and triangulation is done during the teaching process. Data collection is done by tapping technique (participant observation), recording techniques, and collect as many as 124 imperative speeches. The results of the first study (1), the imperative form in the speech of the kindergarten of the Badak Mekar kindergarten include (a) the most commonly found structural form is the non-transitive active and passive imperative and (b) the most commonly found pragmatic form is the imperative form (command construction). (2) Secondly, the imperative courtesy of the teacher's speech includes (a) the most commonly found linguistic politeness is a gentle word, a low tone of speech, and polite kinesics gestures, and (b) the most common pragmatic pronunciation is maxima consensus and there is also a combination of two to three maxims. Pragmatic pronunciation based on the most commonly found speech constructions is declarative and interrogative construction. </span></em>

scholarly journals Exploring Children's Science and Mathematics Ability with Leaf Diary: A Case Study

2021 ◽  
Vol 7 (2) ◽  
pp. 145-156
Author(s):  
Resti Yulia ◽  
Nenny Mahyuddin ◽  
Nurhafizah Nurhafizah ◽  
Komareeyah Sulong
Keyword(s):  
Data Analysis ◽  
Participant Observation ◽  
Sampling Technique ◽  
Leaf Size ◽  
Unit Of Analysis ◽  
Mathematics Ability ◽  
Data Collection Process ◽  
And Mathematics ◽  
Depth Interviews

Purpose – This study aims to explore Leaf diary activity to develop the Science and Mathematics ability of children aged 6 years.Design/methods/approach – The method used is a case study. The unit of analysis is based on predetermined criteria, using the purposive sampling technique. Research informants are mentors and children involved in leaf diary activity in Solok, Indonesia. The data collection process used participant observation, documentation, and in-depth interviews. Data analysis used structural analysis techniques.Findings – The results showed that leaf diary activity could develop: (1) children's ability to classify leaves based on their shape; (2) the ability to compare leaf size based on length, as well as large or small size.Research implications/limitations – All research informants were from Solok District, Indonesia, which may limit the generalizability of the findings.Practical implications – This case study contributes to the implementation of Leaf diary as an alternative activity that teachers or parents can do to develop children's science and mathematics ability.Originality/value – Leaf diary activity can help children explore the natural environment so that basic science and math abilities and concepts in this activity are carried out well. Paper type Case study

Data Science and Big Data Analytics in Financial Services

2016 ◽  
pp. 396-423 ◽  
Author(s):  
Suren Behari ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Services ◽  
Data Science ◽  
Big Data Analytics ◽  
Disruptive Innovation ◽  
Big Data Analysis ◽  
Future Trends ◽  
The Right

The chapter discusses how Financial Services organizations can take advantage of Big Data analysis for disruptive innovation through examination of a case study in the financial services industry. Popular tools for Big Data Analysis are discussed and the challenges of big data are explored as well as how these challenges can be met. The work of Hayes-Roth in Valued Information at the Right Time (VIRT) and how it applies to the case study is examined. Boyd's model of Observe, Orient, Decide, and Act (OODA) is explained in relation to disruptive innovation in financial services. Future trends in big data analysis in the financial services domain are explored.

scholarly journals Big Data Analysis Proposal for Manufacturing Firm

2021 ◽  
Vol 5 (1) ◽  
pp. 68-75
Author(s):  
Alicia Valdez ◽  
Griselda Cortes ◽  
Laura Vazquez ◽  
Adriana Martinez ◽  
Gerardo Haces
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Business Processes ◽  
Decision Making Process ◽  
Manufacturing Companies ◽  
Manufacturing Firm ◽  
Production Factors ◽  
Ac Motors ◽  
Selection Of

The analysis of large volumes of data is an important activity in manufacturing companies, since they allow improving the decision-making process. The data analysis has generated that the services and products are personalized, and how the consumption of the products has evolved, obtaining results that add value to the companies in real time. In this case study, developed in a large manufacturing company of electronic components as robots and AC motors; a strategy has been proposed to analyze large volumes of data and be able to analyze them to support the decision-making process; among the proposed activities of the strategy are: Analysis of the technological architecture, selection of the business processes to be analyzed, installation and configuration of Hadoop software, ETL activities, and data analysis and visualization of the results. With the proposed strategy, the data of nine production factors of the motor PCI boards were analyzed, which had a greater incidence in the rejection of the components; a solution was made based on the analysis, which has allowed a decrease of 28.2% in the percentage of rejection.

scholarly journals The development of students’ adversity quotient through online learning models: A case study of an Islamic education course

2021 ◽  
Vol 1 (1) ◽  
pp. 35-41
Author(s):  
Dina Mardiana ◽  
◽  
Tobroni ◽  
Triyo Supriyatno ◽  
◽  
...  
Keyword(s):  
Data Analysis ◽  
Online Education ◽  
Qualitative Case Study ◽  
Participant Observation ◽  
Learning Model ◽  
Islamic Education ◽  
Learning Models ◽  
New Knowledge ◽  
Development Of Students

Students’ Adversity Quotient is one of the most significant elements in online education. This research focused on analyzing how the design of learning of an online Islamic education course called Pendidikan Agama Islam (PAI) prepared the development of students’ adversity quotient. This research was located at a university in Malang, Indonesia and its methodology used qualitative case study. Based on Stoltz's Adversity Quotient theory (Stoltz, 1997), data collection for this study was carried out through online-based interviews, participant observation, and documentation. However, interactive model of Miles, Huberman, and Saldana (Miles, et al., 2014) was used as data analysis. The research found that the PAI course at a university in Malang had a theoretical learning model, which could develop students’ adversity quotient. The theoretical learning model of PAI requires an ability to adapt cognitive structures through the stages of assimilation, accommodation, and equilibration of new knowledge, as well as psychic readiness to face challenges providing the development of students' adversity quotient. This theoretical learning model facilitated the development of students’ adversity quotient, as emerged through four indicators: resilient, persistent, sincere, and self-gratefulness. The contribution of this research is crucial to the implementation of online Islamic education learning through a theoretical learning model that will lead to benefits in achieving educational targets more effectively.

scholarly journals Big Data Science and EXASOL as Big Data Analytics tool

2019 ◽  
Vol 8 (9S) ◽  
pp. 933-937
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Analytics ◽  
Data Science ◽  
Big Data Analytics ◽  
System Architectures ◽  
Huge Data ◽  
Exploratory Approach ◽  
Data Scientist ◽  
Using Data

Big data and Data science are the two top trends of recent years. Both can be combined together as big data science. This leads to the demand for new system architectures which facilitates the development of processes which can handle huge data volumes without deterring the agility, flexibility and the interactive feel which suits the exploratory approach of a data scientist. Businesses today have found ways of using data as the principal factor for value generation. These data-driven businesses apply a variety of data tools as data analysis is one of the chief elements in this process. In order to raise data science to the new computational level that is required to meet the challenges of big data and interactive advanced analytics, EXASOL has introduced a new technological approach. This tool enables us more effective and easy data analysis.

scholarly journals PENGARUH STRUKTUR KEPEMILIKAN MANAJERIAL PADA NILAI PERUSAHAAN DENGAN KEBIJAKAN DIVIDEN SEBAGAI VARIABEL INTERVENING

2019 ◽  
Vol 1 (1) ◽  
pp. 1-23
Author(s):  
Kadek Dewi Padnyawati ◽  
Ni Putu Ayu Kusumawati
Keyword(s):  
Regression Analysis ◽  
Ownership Structure ◽  
Firm Value ◽  
Dividend Policy ◽  
Participant Observation ◽  
Managerial Ownership ◽  
Manufacturing Companies ◽  
Analysis Techniques ◽  
Dividend Payments

The purpose of this study was to determine the effect of managerial ownership structure on firm value with dividend policy as an intervening variable (case study on manufacturing companies on the IDX for the period 2014-2016). The number of samples taken was 42 manufacturing companies. Data collection is done through non-participant observation. Multiple regression analysis techniques and path analysis. Based on the results of the analysis it was found that the managerial ownership structure had a positive and significant effect on firm value. Managerial ownership structure has a positive and significant effect on dividend policy. Dividend policy has a positive and significant effect on firm value. This result supports Signaling theory, that dividend payments are a signal to the market, so dividend payments can increase market appreciation for the company's shares. Then there is an indirect effect of managerial ownership structure on the value of company with dividend policy as an intervening variable. This proves that dividend policy is an intervening variable that connects managerial ownership structure with firm value.

scholarly journals KNOWLEDGE MANAGEMENT AND COLLABORATION EFFECTS: SOUTH-SOUTH NGO COLLABORATION: A CASE STUDY ON THE BRAZILIAN INTERDISCIPLINARY AIDS ASSOCIATION DOI:10.7444/fsrj.v4i1.107

2012 ◽  
Vol 4 (1) ◽  
pp. 159-201
Author(s):  
Grace Keeney
Keyword(s):  
Knowledge Management ◽  
Data Analysis ◽  
Knowledge Creation ◽  
Participant Observation ◽  
Patent Application ◽  
Research Participant ◽  
Strategic Knowledge ◽  
Organizational Effects ◽  
The Relationship

In June 2008, the Brazilian Interdisciplinary AIDS Association (ABIA) and the Indian NGO SAHARA submitted a joint pre-grant opposition to the patent application of Tenofovir Disoproxil Fumarate in India. This joint action provides a pertinent case model of the potential effects of South-South cooperation between civil society groups. In this study, the aim sought to determine the practicality of the methodology and propositions developed in Resources, Knowledge and Influence: the Organizational Effects of Interorganizational Collaboration (Hardy et al., 2003) in predicting the types of collaboration effects that would result from the degree of “involvement” and “embeddedness” of a collaboration. Data collection came from archival research, participant observation research and interviews. Research tasks included an investigation on South-South Cooperation in the area of IP rights and AIDS, compiling an SLR on knowledge management and collaboration theories, creating a chronology of the collaboration and application of aforementioned methodology. Application included (1) implementation of codification methodology based on “involvement” and “embeddedness” and (2) identification of types of effects in collaboration - strategic, knowledge creation or political. During data analysis, these effects were compared with the aims of collaboration. Results were then tested against propositions (Hardy et al., 2003) of the relationship between involvement and embeddedness and the collaborative effects. Findings support three propositions: (1) Collaborations with high levels of involvement will be positively associated with the acquisition of distinctive resources, (2) Collaborations with high levels of involvement and high levels of embeddedness will be positively associated with the creation of knowledge, (3) Collaborations that are highly embedded will be positively associated with an increase of influence.

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