IDEAS home Printed from https://ideas.repec.org/h/spr/isbchp/978-981-10-3590-6_10.html
   My bibliography  Save this book chapter

Results and Discussion

In: Strategic Marketing and Innovation for Indian MSMEs

Author

Listed:
  • R. Srinivasan

    (Indian Institute of Science)

  • C. P. Lohith

    (Siddaganga Institute of Technology)

Abstract

The regression models were estimated in the previous chapter. The regression variateRegression variate was specified and the diagnostic tests that confirm the appropriateness and the assumptions underlying the regression models were administered. In this chapter, we examine the predictive equationPredictive equation based on four independent variablesIndependent variables and five dependent variablesDependent variables . The regression coefficientsRegression coefficient become indicators of the relative impact and importance of the independent variables (Strategic Marketing) in their relationship with the dependent variable (InnovationInnovation performance). The final task in multiple regression is the validation process of the regression model. The primary concern of this process is to ensure that the results are generalisable to the population and not specific to the sample used in estimation. Here in our research the split sample validation process is adopted for the models validation and followed by the final conclusion regarding the study made with respect to both Karnataka and Tamil Nadu. The key takeaways for the reader from this chapter are listed below 1. Interpreting the regression variate and coefficient. 2. The predictive equation for models based on the confirmatory approach. 3. Overview of results and its validation. 4. Conclusion and important findings of this study. 5. Limitations of this study and directions for future research.

Suggested Citation

  • R. Srinivasan & C. P. Lohith, 2017. "Results and Discussion," India Studies in Business and Economics, in: Strategic Marketing and Innovation for Indian MSMEs, chapter 0, pages 93-121, Springer.
    • Handle: RePEc:spr:isbchp:978-981-10-3590-6_10
    DOI: 10.1007/978-981-10-3590-6_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isbchp:978-981-10-3590-6_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.