International Journal of Business and Data Analytics
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International Journal of Business and Data Analytics (2 papers in press)
A Study on Data Mining tools directed towards modern day Automobile Industries by Anirudh Ganesh Sriraam Abstract: The genesis of Industry 4.0 has brought with it a plethora of opportunities to use Big Data Analytics in the manufacturing sector. The customers increasing demand for customisation has led to increasingly complex manufacturing layouts. As most of the work in major manufacturing plant is done using robots, there is a gamut of sources of data. This data has never been utilized to its full potential. It has been used to monitor the statuss of production mostly and has helped in ad-hoc maintenance scenarios. The purpose of this paper is to elucidate upon certain ways to increase efficiency of a big manufacturing plant using methods like Data Mining Association Rules and Multiple regression. In addition, this paper can be referred as a detailed tutorial on how to tackle huge data sets incoming from a large automobile manufacturing organization and all the factors that need to be taken in consideration. Keywords: Apriori Algorithm; Multiple regression; Process Optimisation; Business Intelligence; Data Analytics; Suspected Operational Causes; Quality Improvement; Downtime reduction. DOI: 10.1504/IJBDA.2019.10028534
Ambidexterity and Human Resource Management: A paradigmatic and methodological review by Hinadi Akbar, Ahmad Faraz Khan, Parvaiz Talib Abstract: This paper reviews the research work carried out in the field of ambidexterity and human resource management during last decade (20082018). This paper reviews research work from a paradigmatic and methodological approach. The study analyzes the selected contributions from the perspective of operations research paradigm framework (Meredith et al.,1989). It further compares and contrasts various research articles, methodologies, and research designs used in various studies. Using relational analysis approach recurrent themes are identified and research clusters are formed. The analysis leads to identification of five major research clusters namely, definitions and models of ambidexterity, approaches to ambidexterity, ambidexterity and related constructs, ambidexterity and HRM and impact of ambidexterity on performance. This study is a maiden attempt to provide a comprehensive picture of the extant literature focusing on human resource dimensions in ambidexterity research. This study provides greater insights by using a research paradigm framework to summarise the literature. Keywords: human resource management; HRM; ambidexterity; high performance work system; HPWS; innovation; exploration; exploitation. DOI: 10.1504/IJBDA.2020.10034479