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THE                     JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.80, # 1, 2023, pp. 67-82

                    That is, consumers who consume food digitally will continue to shop online because
                    it is a necessary product, whether the resulting privacy risk increases or decreases.
                    Another  example  of  this  is  the  elasticity  coefficient,  which  is  widely  used  in
                    economics.

                    Contrary  to  the  study  by  Hasan,  Sumon,  Islam  and  Hossain  (2021),  digital
                    consumption of food products has no effect on shopping enjoyment. The majority of
                    domestic online food consumption is via the Bolt Food or Wolt mobile apps, and the
                    orderers  are  often  employees.  These  apps  have  very  few  features  to  increase  the
                    enjoyment factor. As a suggestion, adding 3D images of food or comments in the
                    description can increase the enjoyment factor for consumers.
                    Additionally, as mentioned, the majority of consumers are office workers, and when
                    workers order during lunch breaks, they often tend to order the same product as their
                    previous  order.  In  this  case,  naturally,  no  matter  how  much  digital  consumption
                    increases, the pleasure factor is not affected because it becomes a habit. To avoid this
                    situation, companies can increase the variety and organize campaigns to attract the
                    attention of different consumers to different types of products.

                    Finally, in contrast to the study conducted by Liang, Ekinci, Occhiocupo and Whyatt
                    (2013), digital consumption of food products was found to have no effect on word-of-
                    mouth  communication.  The  reason  for  this  may  be  the  avoidance  of  negative
                    situations that may arise as a result of the recommendation For example, a digital
                    consumer may prefer not to recommend digital consumption or share their opinion
                    with  another  consumer,  considering  the  incidents  of  adverse  events  such  as  food
                    poisoning, or product becoming undesirable during delivery. For this, the optimal way
                    is to add a comment section that supports the anonymity function on platforms.

                    REFERENCES

                    Chan, H., & Yang, M. X. (2021). Culture and electronic word of mouth: a synthesis of
                        findings and an agenda for research. Journal of Global Marketing, 34(3), 165-169.

                    Chien, A. W., Kurnia, S., & von Westarp, F. (2003). The acceptance of online grocery
                        shopping. BLED 2003 Proceedings, 52.

                    Chopdar,  P.  K.,  Korfiatis,  N.,  Sivakumar,  V.  J.,  &  Lytras,  M.  D.  (2018).  Mobile
                        shopping apps adoption and perceived risks: A cross-country perspective utilizing
                        the Unified Theory of Acceptance and Use of Technology. Computers in Human
                        Behavior, 86, 109-128.

                    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance
                        of information technology. MIS quarterly, 319-340.




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