scholarly journals Towards a Guideline Affording Overarching Knowledge Building in Data Analysis Projects

2021 ◽  
pp. 49-59
Author(s):  
Dorothea Schneider ◽  
Wibke Kusturica
Keyword(s):  
Data Analysis ◽  
Learning Curve ◽  
Data Analytics ◽  
Manufacturing Industry ◽  
Knowledge Building ◽  
Integrated Approach ◽  
Competitive Market ◽  
Use Of Data ◽  
Course Of Action

Tight and competitive market situations pose a serious challenge to enterprises in the manufacturing industry domain. Competing in the use of data analytics to enhance products and processes requires additional resources to deal with the complexity. On the contrary, the possibilities afforded by digitization and data analysis-based approaches make for a valuable asset. In this paper we suggest a guideline to a systematic course of action for the data-based creation of holistic insight. Building an overlaying corpus of knowledge accelerates the learning curve within specific projects as well as across projects by exceeding the project-specific view towards an integrated approach.

Analisis Pengaruh Kecerdasan Intelektual Terhadap Kemampuan Akuntansi dengan Kecerdasan Emosional dan Spiritual sebagai Pemoderasi

2018 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Ria Manurung
Keyword(s):  
Data Analysis ◽  
Graduate Program ◽  
Descriptive Analysis ◽  
Research Result ◽  
Secondary Data ◽  
Spiritual Intelligence ◽  
Primary Data ◽  
Moderating Variables ◽  
Use Of Data ◽  
Independent Variable

Research conducted to obtain empirical evidence how the influence of independent variables of intellectual intelligence to accounting with moderating variables of emotional and spiritual intelligence. The research method used is descriptive quantitative with explanatory descriptive or explanatory research. This method is an explanatory research that proves the existence of causal relationship of independent variable (independent variable) that is intellectual intelligence; moderating variable (emotional and spiritual intelligence); and dependent variable (accounted dependent variable). Research begins by conducting library search, followed by primary data collection conducted by using questionnaires and secondary data through data analysis. And for the use of data analysis consists of descriptive analysis, classical assumption test and verification analysis with the method of Moderated Regression Analysis (MRA). This study is a census study with homogeneous and limited population of 92 students, all students of Accounting Graduate Program at UNSOED. Conclusion of research result that is: (1) Intellectual intelligence have influence either positively or signifikan to accountancy. Thus intellectual intelligence can lead students to more easily understand accounting, (2) Intellectual intelligence can be strengthened by emotional intelligence on accounting both positively and significantly. (3) Spiritual intelligence can strengthen the influence of intellectual intelligence on accounting both positively and significantly.

scholarly journals Employee Compensation Strategy as Sustainable Competitive Advantage for HR Education Practitioners

2021 ◽  
Vol 13 (3) ◽  
pp. 1049
Author(s):  
Eungoo Kang ◽  
Hyoyoung Lee
Keyword(s):  
Manufacturing Industry ◽  
Pay For Performance ◽  
Sustainable Competitive Advantage ◽  
Alternative Compensation ◽  
Use Of Data ◽  
Significant Relationships ◽  
The Subject ◽  
Compensation Program ◽  
Employee Competencies ◽  
American Employees

By building on compensation literature, the current study explored and identified the ties between workers’ competencies, corporate cultures, and compensation schemes. These schemes were typically the subject of literature on the factors dealing with the implementation of incentive systems for pay for performance (PFP) or problems that can lead to a PFP system’s failure. Unfortunately, when it comes to research that HR education practitioners may do, the literature has been scarce. It shows which organizational elements might be necessary to examine when deciding whether a PFP or an alternative compensation program is acceptable. This study aimed to add insight into this gap in research. The findings of this study showed from the use of data from 385 American employees in the manufacturing industry that there are significant relationships statistically between employee competencies and organizational cultures and those findings can be corroborated with existing researches, suggesting compensation schemes were related to multiple types of competence organizations and different organization cultures, thus adding meaningfully to the current literature.

scholarly journals A multilevel approach to big data analysis using analytic tools and actor network theory

2018 ◽  
Vol 20 (1) ◽  
Author(s):  
Tiko Iyamu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Network Theory ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Actor Network Theory ◽  
Big Data Analysis ◽  
Data Sets ◽  
Multilevel Approach ◽  
Actor Network

Background: Over the years, big data analytics has been statically carried out in a programmed way, which does not allow for translation of data sets from a subjective perspective. This approach affects an understanding of why and how data sets manifest themselves into various forms in the way that they do. This has a negative impact on the accuracy, redundancy and usefulness of data sets, which in turn affects the value of operations and the competitive effectiveness of an organisation. Also, the current single approach lacks a detailed examination of data sets, which big data deserve in order to improve purposefulness and usefulness.Objective: The purpose of this study was to propose a multilevel approach to big data analysis. This includes examining how a sociotechnical theory, the actor network theory (ANT), can be complementarily used with analytic tools for big data analysis.Method: In the study, the qualitative methods were employed from the interpretivist approach perspective.Results: From the findings, a framework that offers big data analytics at two levels, micro- (strategic) and macro- (operational) levels, was developed. Based on the framework, a model was developed, which can be used to guide the analysis of heterogeneous data sets that exist within networks.Conclusion: The multilevel approach ensures a fully detailed analysis, which is intended to increase accuracy, reduce redundancy and put the manipulation and manifestation of data sets into perspectives for improved organisations’ competitiveness.

Big data analytics capabilities and knowledge management: impact on firm performance

2019 ◽  
Vol 57 (8) ◽  
pp. 1923-1936 ◽  
Author(s):  
Alberto Ferraris ◽  
Alberto Mazzoleni ◽  
Alain Devalle ◽  
Jerome Couturier
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Data Analytics ◽  
Structural Equation ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Integrated Approach ◽  
Content Type ◽  
Decision Making Processes ◽  
External Sources

Purpose Big data analytics (BDA) guarantees that data may be analysed and categorised into useful information for businesses and transformed into big data related-knowledge and efficient decision-making processes, thereby improving performance. However, the management of the knowledge generated from the BDA as well as its integration and combination with firm knowledge have scarcely been investigated, despite an emergent need of a structured and integrated approach. The paper aims to discuss these issues. Design/methodology/approach Through an empirical analysis based on structural equation modelling with data collected from 88 Italian SMEs, the authors tested if BDA capabilities have a positive impact on firm performances, as well as the mediator effect of knowledge management (KM) on this relationship. Findings The findings of this paper show that firms that developed more BDA capabilities than others, both technological and managerial, increased their performances and that KM orientation plays a significant role in amplifying the effect of BDA capabilities. Originality/value BDA has the potential to change the way firms compete through better understanding, processing, and exploiting of huge amounts of data coming from different internal and external sources and processes. Some managerial and theoretical implications are proposed and discussed in light of the emergence of this new phenomenon.

scholarly journals Mathematical Issues in Data Science and Applications for Health care

2019 ◽  
Author(s):  
Sitti Zuhaerah Thalhah ◽  
Mohammad Tohir ◽  
Phong Thanh Nguyen ◽  
K. Shankar ◽  
Robbi Rahim
Keyword(s):  
Data Analytics ◽  
Data Science ◽  
Predictive Analytics ◽  
Big Data Analytics ◽  
Decision Models ◽  
Computational Techniques ◽  
Healthcare Applications ◽  
Use Of Data ◽  
Source Data ◽  
Military Applications

For development in military applications, industrial and government the predictive analytics and decision models have long been cornerstones. In modern healthcare system technologies and big data analytics and modeling of multi-source data system play an increasingly important role. Into mathematical models in these domains various problems arising that can be formulated, by using computational techniques, sophisticated optimization and decision analysis it can be analyzed. This paper studies the use of data science in healthcare applications and the mathematical issues in data science.

scholarly journals Formation of linguistic and cultural competencies during russian language lessons (on the example of the lexeme "rainbow")

2020 ◽  
Vol 6 (Extra-B) ◽  
pp. 46-51
Author(s):  
Usmanova Liliya Abrarovna ◽  
Minakhmetova Aliya Ildarovna ◽  
Arkin Rosy Artuchi
Keyword(s):  
Data Analysis ◽  
Integrated Approach ◽  
Competence Development ◽  
Word Formation ◽  
Russian Language ◽  
Creative Work ◽  
Semantic Field ◽  
Cultural Specificity ◽  
The World ◽  
The Russian Language

This article is devoted to the linguoculturological competence development among schoolchildren in the process of teaching the Russian language. The object of scientific consideration was the lexeme "rainbow", which refers to the most ancient layer of words and has a deep national and cultural specificity. In accordance with the set tasks of our work, we used descriptive-analytical, stylistic, component, distributive methods of data analysis, the method of the semantic field. An integrated approach to the study of the lexeme "rainbow" implies a multifaceted analysis, including the analysis of dictionary definitions, collection of etymological information, consideration of word-formation relations, study of the paremiological status of a word, its discursive features, identification of traditional and individual author's meanings and, thus, reflection in the form of creative work of students, reflecting the information received about this lexeme... An upbringing approach in Russian language lessons helps students discover aesthetic ways of understanding the world, without which it is impossible to describe the Russian language picture of the world.    

scholarly journals PENANAMAN NILAI-NILAI MORAL OLEH ORANG TUA DALAM KELUARGA MENURUT REMAJA DI JORONG KUBANG KENAGARIAN MAGEK KECAMATAN KAMANG MAGEK KABUPATEN AGAM

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Fajrin Alfarabi
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Moral Values ◽  
Use Of Data ◽  
The Family

This research in the background by the availability of good in JorongKubang.This study aims to describe the cultivation of moral values ​​in children by teenagers in the family in JorongKubangKenagarianMagekKecamatanKamangMagekKabupatenAgam. This research is descriptive quantitative. The population in this study were all teenagers at Jorongkubang totaling 26 people, A survey of data collection with the use of data collection tools and quisioner. While the techniques of data analysis using the percentage formula.From the results of the study found that the cultivation of moral values ​​in children in aspects: (1) through habituation, (2) by example, (3) through advice, (4) through attention and (5) through rulemaking. From the above findings it can be concluded that the cultivation of moral values ​​in children by adolescents has been running well this is evident from the results of the percentage of each variable is declared good. General suggestion that the cultivation of moral values ​​can be enhanced and become a major concern by the parents in the family

scholarly journals QoS Priorities in ERP Implementation – A Study of Manufacturing Industry of Nepal

2019 ◽  
Vol 12 (4) ◽  
pp. 168-184
Author(s):  
Susan Giri ◽  
Ram Naresh Thakur ◽  
Jyotir Moy Chatterjee
Keyword(s):  
Data Analysis ◽  
Enterprise Resource Planning ◽  
Manufacturing Industry ◽  
Research Question ◽  
Resource Planning ◽  
Global Market ◽  
Ease Of Use ◽  
Erp Implementation ◽  
Chi Square ◽  
Essential Components

ERP, or Enterprise Resource Planning systems help business management, which consists of a well-designed interface that incorporates different programs to integrate and manage all company functions at intervals of a company, these sets incorporate applications for human resources, monetary and accounting, sales and distribution, project management, materials management, SCM, or Supply Chain Management and quality management. Currently, organizations are running to improve their ability to survive in the global market competitions of the 21st century. While the organizations try to advance in their level of agility, changing and modifying the process of decision-making to make it more efficient and effective to satisfy the successive variations of the market. Different views are gathered regarding ERP implementation of ERP in manufacturing. Even we have taken certain essential components of ERP for a better understanding of ERP. Ease of use, usefulness, quality, and trust on ERP services have been taken an independent variable that affects user’s decision to adopt ERP. The role of ERP technology in manufacturing facilities are broken into more categories for detail concept. Quantitative data analysis methods were usually used for questionnaire data analysis which was utilized to analyze statistical data and after that collection of interview data was done. A researcher has applied different statistical tools like Chi-Square Tests, Anova, etc. to analyze the collected data. A researcher essential portion is to analyze and interpret data that relates to modifying data which explains the solution to the research question with some additional future recommendation for more quality research.

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