IUP Publications Online
Home About IUP Magazines Journals Books Archives
     
Recommend    |    Subscriber Services    |    Feedback    |     Subscribe Online
 
The IUP Journal of Business Strategy
Moderating Variables in Business Research
:
:
:
:
:
:
:
:
:
 
 
 
 
 
 
 
 

This paper explains the rationale for introducing the moderating variables in the models built in business research to identify the causal relationships among the variables/constructs. The study is based on the search for moderating variables in business-related research published during the last 36 years (1980-2016), available in online databases EBSCO, ProQuest, JSTOR, Science Direct, SAGE and Emerald. The study identifies the variables/constructs being majorly used as moderators in business research. The methods used for studying moderation have been identified and multi-group moderation through structural equation modeling (using AMOS) has been recommended and elaborated. The findings and suggestions of the study are likely to be highly useful for researchers in the field of commerce and business management in identifying the moderating variables and practically applying multi-group moderation in business research.

 
 
 

The use of moderation in model building and testing has gained a lot of attention of business researchers. This study explores and discusses the important moderators and the modus operandi of their use in business research. Based on extensive review of extant literature available on moderating variables (published during the last 36 years (1980-2016), available in online databases EBSCO, ProQuest, JSTOR, ScienceDirect, SAGE and Emerald), the study identifies the variables/constructs being majorly used as moderators in business research. The methods used for studying moderation have been discussed and multi-group moderation through structural equation modeling has been recommended and elaborated.

 
 
 

Business Model Innovation, Moderating Variables, Business-related research ,Online databases EBSCO, Moderators in business research, Structural equation modeling (using AMOS).