Forthcoming and Online First Articles

International Journal of Business and Data Analytics

International Journal of Business and Data Analytics (IJBDA)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Business and Data Analytics (2 papers in press)

Regular Issues

  • A Study on Data Mining tools directed towards modern day Automobile Industries   Order a copy of this article
    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 customer’s 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 status’s 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   Order a copy of this article
    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