Modeling innovation adoption for successive generations in the marketing and its interdisciplinary nature with software reliability Aggarawal Deepti; Dr. Ompal Singh Gu.

By:

Aggarawal Deepti
University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research

Contributor(s):

Dr. Ompal Singh Gu
University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research

Material type: Text

TextLanguage: English Publication details: 2014Subject(s):

OPERATIONS RESEARCH

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Modeling innovation adoption for successive generations in the marketing and its interdisciplinary nature with software reliability

APA

Aggarawal Deepti, University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research, Dr. Ompal Singh Gu & University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research. (2014). Modeling innovation adoption for successive generations in the marketing and its interdisciplinary nature with software reliability. : .

Chicago

Aggarawal Deepti, University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research, Dr. Ompal Singh Gu and University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research. 2014. Modeling innovation adoption for successive generations in the marketing and its interdisciplinary nature with software reliability. : .

Harvard

Aggarawal Deepti, University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research, Dr. Ompal Singh Gu and University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research. (2014). Modeling innovation adoption for successive generations in the marketing and its interdisciplinary nature with software reliability. : .

MLA

Aggarawal Deepti, University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research, Dr. Ompal Singh Gu and University of Delhi. Faculty of Mathematical Sciences. Department of Operational Research. Modeling innovation adoption for successive generations in the marketing and its interdisciplinary nature with software reliability. : . 2014.

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