Investigating Online Purchase Intension Antecedents: A Study of e-Tailing Experiences

Author(s):  
Ankita Agrawal ◽  
Rabi N. Subudhi ◽  
Smruti Malhar Mohapatro
Author(s):  
Radovan Bačík ◽  
Mária Oleárová ◽  
Martin Rigelský

The development of the Internet and the current technologies have contributed to a significant progress in the consumer shopping process. Today, shopping decisions are more intuitive and much easier to make. E-shops, search engines, customer reviews and other similar tools reduce costs of searching for products or product information, thus boosting the habit of searching for information on the Internet - "Research Shopper Phenomenon" (Verhoef et al. 2007). According to Verhoef et al. (2015), this phenomenon leads to a phenomenon where consumers search for product information using one channel (Internet) and then make a purchase through another channel (brick-and-mortar shop). Heinrich and Thalmair (2013) refer to this effect as the "research online, purchase offline" or "ROPO" effect for short. This phenomenon can also be observed in reverse. Keywords: customer behavior, research online – purchase offline, association analysis


Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 161-180
Author(s):  
Indrajit Ghosal ◽  
Bikram Prasad ◽  
Mukti Prakash Behera ◽  
Atul Kumar

E-commerce is an undeniable growth opportunity. The infrastructure of e-commerce has been successful in making their system resilience in this age of VUCA (volatility, uncertainty, complexity and ambiguity). Besides during the time of pandemic, e-commerce have accomplished in meeting the demand of the consumers crossing various obstacles and scarcity of resource across the colours of socio-economic stratification of India. A detailed investigation of social, cultural, behavioural norms along with effect of socio-cultural regions has been investigated to strengthen the research. The method of cluster analysis has been used to segment the consumers into homogeneous subsets. The implied findings of this research will help the digital entrepreneurs to know their target consumers. Through cluster analysis, six clusters have been identified and they are named as, (a) Advanced changers; (b) Price sensitive; (c) Enthusiasts; (d) Realistic and logical; (e) Conservatives; (f) Unconcerned. The outcomes of this research can help the strategy managers and intrapreneurs to make informed decisions. This study can be of value addition for startups, digital entrepreneurs to start their own business through online shopping portals. The extracted results can help the marketing managers to know about the specific attributes of the consumers of rural areas which will lead to framing strategy according to market design, market space and marketplace.


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