Understanding the Role of Business Analytics: Some Applications

216 Pages·2019·5.48 MB·English

by  Hardeep Chahal

Hardeep Chahal · Jeevan Jyoti 
Editors
Jochen Wirtz   
Understanding
the Role of
Business
Analytics
Some Applications
Understanding the Role of Business Analytics
Hardeep Chahal Jeevan Jyoti Jochen Wirtz
(cid:129) (cid:129)
Editors
Understanding the Role
of Business Analytics
Some Applications
123
Editors
Hardeep Chahal JochenWirtz
Department ofCommerce Department ofMarketing
University of Jammu National University ofSingapore
Jammu,India Singapore, Singapore
JeevanJyoti
Department ofCommerce
University of Jammu
Jammu,India
ISBN978-981-13-1333-2 ISBN978-981-13-1334-9 (eBook)
https://doi.org/10.1007/978-981-13-1334-9
LibraryofCongressControlNumber:2018949885
©SpringerNatureSingaporePteLtd.2019
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Foreword
Changes in business environment have created many opportunities as well as
uncertainties, which make the role of business research more important for the
decision-makers. Since managers have to make quick but accurate decisions in
order to sustain the competition, business and service firms require knowledge of
advanced research techniques besides the routine projections and trend analyses.
Recent research studies have highlighted the growing need for the application of
advancedtechniquesinthebusinessdecision-makingprocessasbusinessanalytical
techniques provide managers with more confidence in dealing with uncertainty
despiteafloodofavailabledata.Inthiscontext,thebookeditedbyDr.Chahal,Dr.
Jyoti, and Dr. Wirtz is an excellent initiative to present the work of eminent
researchersfromvariouspartsoftheworldincludingUSA,UK,France,Singapore,
Iran,UAE,andIndia.Ihavegonethroughthemanuscriptsofthecontributors.The
authors have analysed the data with the help of various analytical techniques like
exploratory and confirmatory factor analysis, regression modelling, forecasting,
structural equation modelling for better information of managers to take better
quality decisions. The book will equip the stakeholders including managers,
practitioners, entrepreneurs, researchers, and individuals working in the extant,
complex, and uncertain environment with empowered knowledge and skills to use
andinterpretstatisticaltechniquesforattainingsustainable,competitiveadvantage.
I wish success and best of luck to all who have contributed in making this
initiative successful.
Greater Noida, India Prof. R. D. Sharma
Vice-Chancellor
Noida International University
Jammu, India Former Vice-Chancellor
University of Jammu
v
Preface
Tosustaincompetitionincurrentbusinessenvironment,managershavetobemore
decisive to offer high-quality goods/services at cost-effective rates. In addition to
theroutineprojectionsandtrendanalyses,theyrequiretheknowledgeofadvanced
research techniques to make quick and accurate decisions.
Data in its raw form is usually useless, and the driving force behind any
data-drivenorganizationisinsightsandconclusionsdrawnfromthedata,whichcan
suggest a new course of action. In order to draw insights and reach conclusions,
managersneedanalyticaltoolsandtechniquestointerpretdatafromvarioussources
andusetheresultsforbetterdecision-making.Further,businessanalyticaltoolsalso
help the researchers and academicians in better theory development. Many
researchers have claimed that the availability of business analytics has played a
great role in converting organizations into high-performance work systems.
Companies using these techniques in their decision-making process are in a better
position to compete and sustain competitive advantage by minimizing risk,
investinginaccurateinnovations,andaboveallprovidingabetterpictureofwhatis
practically viable and non-viable.
The significance of the analytical needs can be judged from the fact that a
significant proportion of high-performance companies have high analytical skills
among their personnel. And companies employing data analytical methods and
techniquesintheirdecision-makingprocessareinabetterpositiontocompeteand
sustain competitive advantage. Among the various statistical techniques, structural
equation models (SEMs), including confirmatory factor analysis, help in both
theory building and predictive analysis, and their roles have become more crucial
withtheadventofbigdata.Carryingoutpredictivemodellingonlargedatasetshas
the potential to generate fresh insights for business practitioners and drive new
theories for management researchers. Addressing this need, our efforts in this
context are to fill the extant gap and help managers and entrepreneurs in
knowledge-based decision-making.
vii
viii Preface
This edited book is a collection of ten chapters covering diverse data analytics
topics including a conceptual chapter on big data (Chap. 2) and eleven empirical
chaptersonvariousfunctionalareaslikefinance(Chaps.3–6),marketing(Chaps.7
–8), and HR/OB (Chaps. 9–10). The contributors have used basic techniques like
correlation, forecasting, and trend analysis and advanced higher order modelling
techniques like a gravity model and a panel data quantile-regression, structural
equationmodelling,mediationanalysis,moderationanalysisetc.Thesechaptersare
going to be very useful to the researchers and practitioners in the application of
analytical tools and techniques for better strategic decision-making.
Jammu, India Hardeep Chahal
Jammu, India Jeevan Jyoti
Singapore, Singapore Jochen Wirtz
Acknowledgements
Weacknowledgeallthosepeoplewhowereinvolvedandhelpedincompletingthis
project. At the outset, we would like to thank the authors who have contributed to
this book in terms of their time and expertise. We also wish to acknowledge the
valuable contributions of the reviewers regarding the improvement of quality,
coherence,andcontentpresentationofchapters.Wealsoappreciatetherefereesfor
reviewing the chapters, and scholars for editing and organizing the chapters.
Hardeep Chahal
Jeevan Jyoti
Jochen Wirtz
ix
Contents
1 Business Analytics: Concept and Applications . . . . . . . . . . . . . . . . 1
Hardeep Chahal, Jeevan Jyoti and Jochen Wirtz
2 Big Data Analytics: The Underlying Technologies Used
by Organizations for Value Generation . . . . . . . . . . . . . . . . . . . . . 9
Bhavna Arora
3 Application of Panel Quantile Regression and Gravity Models
in Exploring the Determinants of Turkish Automotive Export
Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Ibrahim Huseyni, Ali Kemal Çelik and Miraç Eren
4 Impact of Macroeconomic and Bank-Specific Indicators on Net
Interest Margin: An Empirical Analysis . . . . . . . . . . . . . . . . . . . . . 45
Arif Ahmad Wani, S. M. Imamul Haque and Shahid Hamid Raina
5 A Trend Analysis of Reforms in the Indian Bond Market . . . . . . . 65
Rahul Rangotra
6 Demand Forecasting of the Short-Lifecycle Dairy Products . . . . . . 87
Rahul S. Mor, Swatantra Kumar Jaiswal, Sarbjit Singh
and Arvind Bhardwaj
7 Customer Experience and Its Marketing Outcomes in Financial
Services: A Multivariate Approach. . . . . . . . . . . . . . . . . . . . . . . . . 119
Swati Raina, Hardeep Chahal, Phillip Klaus and Kamani Dutta
8 Re-investigating Market Orientation and Environmental
Turbulence in Marketing Capability and Business Performance
Linkage: A Structural Approach . . . . . . . . . . . . . . . . . . . . . . . . . . 145
Jagmeet Kaur, Hardeep Chahal and Mahesh Gupta
xi
xii Contents
9 Examining the Impact of Cultural Intelligence on Knowledge
Sharing: Role of Moderating and Mediating Variables. . . . . . . . . . 169
Jeevan Jyoti, Vijay Pereira and Sumeet Kour
10 Employer Branding Analytics and Retention Strategies for
Sustainable Growth of Organizations . . . . . . . . . . . . . . . . . . . . . . . 189
Ravindra Sharma, S. P. Singh and Geeta Rana