Identifying Challenges to Adoption of E- Marketing in SMEs by a Qualitative Approach
Publish place: The Second International Conference on New Research in Management, Economics and Accounting
Publish Year: 1394
Type: Conference paper
Language: English
View: 599
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
MRMEA02_230
Index date: 6 March 2016
Identifying Challenges to Adoption of E- Marketing in SMEs by a Qualitative Approach abstract
Since present study identifies challenges for adaption of e-marketing in SMEs is an applied- developmental research with a heuristic method. In addition, in order to collect data a semi-structured interview was applied. Population of study consisted of all of experienced and knowledgeable experts and professors in the field of information technology and e-marketing, therefore the sample of study was infinite. In qualitative data, suitable sample size for grounded theory of data is regarded as 20-30 subjects, then a sample size consisting 30 subjects was estimated through purposive snowball sampling method. After initial collection of questionnaires, raw data was encoded and common codes were conceptualized, ultimately 25 factors were classified and then these factors were classified and analyzed in 4 categories. Results of interview with experts indicated that two categories of environmental and systemic factors are effective upon adoption of e-marketing
Identifying Challenges to Adoption of E- Marketing in SMEs by a Qualitative Approach Keywords:
E-marketing , small and medium scale enterprises (SME) , innovation diffusion theory , internet marketing , email marketing
Identifying Challenges to Adoption of E- Marketing in SMEs by a Qualitative Approach authors
Nahid Alizadeh
MSc. Business Management, Faculty of Literature and Human Sciences of Ilam University, Iran.
Yasanallah Pourashraf
Associate Prof., Faculty of Literature and Human Sciences, Ilam University, Ilam, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :