Data Analysis

Eias Al Humdan, Yangyan Shi () and Masud Behnia
Additional contact information
Eias Al Humdan: Rabdan Academy, Abu Dhabi, UAE
Yangyan Shi: College of Business Administration, Capital University of Economics and Business
Masud Behnia: Stanford University

Chapter Chapter 5 in Supply Chain Agility and Innovation, 2024, pp 167-228 from Springer

Abstract: Abstract This chapter serves a dual purpose: firstly, it delves into survey data using appropriate techniques for basic data analysis, and secondly, it explores the survey constructs within the research model using Partial Least Square based Structural Equation Modelling (PLS-SEM) and presents the empirical findings. The chapter begins with a brief overview of the data entry and preparation process, followed by a discussion on data management and preparation. It then proceeds to basic analysis, starting with demographic analysis to provide insights into respondent information and participating companies. Descriptive analysis follows, offering an overview of the research model variables by examining mean, standard deviation, skewness, and kurtosis in the sample population to assess normality. Additional statistical tests are conducted to evaluate normality, reliability, and identify common method bias in the collected data.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-6359-7_5

Ordering information: This item can be ordered from
http://www.springer.com/9789819763597

DOI: 10.1007/978-981-97-6359-7_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().