Тип работы:
Предмет:
Язык работы:


Consumers’ attitude towards online shopping in Russia

Работа №130573

Тип работы

Магистерская диссертация

Предмет

менеджмент

Объем работы50
Год сдачи2017
Стоимость5600 руб.
ПУБЛИКУЕТСЯ ВПЕРВЫЕ
Просмотрено
12
Не подходит работа?

Узнай цену на написание


Table of contents
Abstract 3
Introduction 4
Research gap 5
Chapter 1 Literature review 5
1.1 Current situation of online shopping in Russia 6
1.2 Comparison of online and instore shopping 8
1.3 Factors influencing online shopping 12
1.4 Risks associated with online shopping 16
1.5 Psychographic aspects of consumer behavior 19
Chapter 2 Research methodology 23
2.1 Research approach 23
2.2 Theoretical model 26
2.3 Sample strategy 31
2.4 Data collection methods and procedures 32
2.5 Data analysis and processing 35
Chapter 3 Factors, risks and consumers characteristics influencing online shopping 35
3.1 Regression analysis of factors influencing online shopping 35
3.2 Interpretation of regression analysis 41
Chapter 4 Discussion and conclusions 43
4.1 Theoretical background analysis 43
4.2 Analysis of research questions 43
4.3 Managerial implication 45
4.4 Limitations of the research 45
References 47


Основная цель этого исследования - выявить переменные, которые влияют на намерение потребителей покупать товары через Интернет. Предыдущие исследования не учитывали психографические характеристики потребителей. Переменные, которые влияют на отношение потребителей к онлайн покупкам, были включены в теоретическую модель. Для определения взаимосвязи между детерминантами модели использовался регрессионный анализ.
На основании результатов анализа был сделан вывод о том, что 9 из 16 независимых переменных оказывают статистически значимое влияние на намерение потребителей совершать покупки в Интернете. К таким переменным относятся: предыдущий опыт онлайн покупок; риск потери времени; воспринимается; финансовый риск; воспринимаемая легкость использования; отношение к одиночным спортивным занятиям; отношение к одиночному традиционному шопингу; отношение к различным занятиям в свободное время; доверие к интернет-магазинам.
Результаты исследования могут быть использованы менеджерами по маркетингу интернет-магазинов, чтобы лучше понять отношение потребителей к онлайн шопингу.
Ключевые слова: онлайн-шопинг; электронная коммерция; психографика.


Возникли сложности?

Нужна помощь преподавателя?

Помощь в написании работ!


First of all only residents of Moscow and Saint-Petersburg aged from 18-30were taken into consideration in this research. This study can be conducted in cities of Russia with population of more than 1 million people due to the fact that internet providers are presented on the whole territory of Russia. Other age groups also should be part of the research.
Secondly this research was conducted only in the internet. For more reliable results questioners should be not only in electronic form but also in paper based because people who are not active internet users should also be taken into consideration.
And finally this research took into consideration only six main characteristics of a customer (attitude towards single/family activities; groups/single conventional shopping; single/group sport activates). There are more consumers’ portraits in the field of psychographic that can be used in this research.



• Abdul R. Ashraf, Narongsak (Tek) Thongpapanl, and Seigyoung Auh (2014) The Application of the Technology Acceptance Model Under Different Cultural Contexts: The Case of Online Shopping Adoption. Journal of International Marketing: September 2014, Vol. 22, No. 3, pp. 68-93
• Abhishek Kaushik, Shailendra Singh (2013), “Online Shopping of Travel Products: A Study of Influence of Each Dimension of travelers' Attitudes and the Impact of travelers' Online Shopping Experiences on Their Purchase Intentions”, International Journal of Advances in Engineering Sciences Vol.3 (3), July, 2013 e-ISSN: 2231-0347
• Agarwal, D. S. (2013). A study of factors affecting online shopping behavior of consumers in Mumbai region. Tactful Management Research Journal, 4(10), 1¬11.
• Ashraf, Abdul R.; Narongsak (Tek) Thongpapanl; “.The Application of
the Technology Acceptance Model Under Different Cultural Contexts:
The Case of Online Shopping Adoption.” Seigyoung Auh (2014). Journal of International Marketing. Sep2014, Vol. 22 Issue 3, p68-93
• Asmatara Khan (2015). “Factors Affecting On-Line Shoppers Behavior For Electronic Goods Purchasing In Mumbai: An Empirical Study”, International Journal In Management And Social Science (Impact Factor- 3.25) Vol.03 Issue- 03, Issn: 2321-1784.
• Chang E.C., Tseng Y.F. (2013) Research note: e-store image, perceived value and perceived risk. J Bus Res 66(7):864-870
• Clemons, Eric K.; Wilson, Josh; Matt, Christian; Hess, Thomas; Ren, Fei; Jin, Fujie; Koh, Noi Sian (2016) “
Global Differences in Online Shopping Behavior: Understanding Factors Leading to Trust”. Journal of Management Information Systems. 2016, Vol. 33 Issue 4, p1117-1148. 32p
• Colton, Deborah A., Martin S. Roth, and William O. Bearden (2010), “Drivers of International E-Tail Performance: The Complexities of Orientations and Resources,” Journal of International Marketing, 18 (1), 1-22.
• Duygu, F. (2012). Demographic and Psychographic Factors that Affect Environmentally Conscious Consumer Behavior: A Study at Kocaeli University in Turkey. The Journal of American Academy of Business, 14 (2), 323-329.
• Gladwell N. 2011. A psychographic and sociodemographic analysis of state park inn users. Journal of Travel Research 28(4): 15-20.
• Isabel P. Riquelme Sergio Roman (2014), “The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception”
• Landwehr, Jan R, Daniel Wentzel, and Andreas Herrmann (2013), “Product Design for the Long Run: Consumer Responses to Typical and Atypical Designs at Different Stages of Exposure,” Journal of Marketing, 77 (September), 92-107
• Landwehr, Jan R, Daniel Wentzel, and Andreas Herrmann (2014), “Product Design for the Long Run: Consumer Responses to Typical and Atypical Designs at Different Stages of Exposure,” Journal of Marketing, 77 (September), 92-107.
• Li, Hongshuang and P.K. Kannan (2014), “Attributing Conversions in a Multichannel Online Marketing Environment: An Empirical Model and a Field Experiment,” Journal of Marketing Research, 51 (February), 40- 56.Psychographic aspects of consumer behavior
• Liu X, Burns A C and Hou Y (2013), “Comparing Online and In-Store Shopping Behavior Towards Luxury Goods”, International Journal of Retail & D istribution Management, Vol. 41, Nos. 11&12, pp. 885-900.
• Moon, J.-W., Kim, Y.-G. (2012), “Extending the TAM for a World-Wide-Web context”, Information & Management, Vol. 38 No. 4, pp. 217-30.
• Nai-Hua Chen; Ya-Wen Hung (2015), “Online shopping orientation and purchase behavior for high-touched products” .International Journal of Electronic Commerce Studies. 2015, Vol. 6 Issue 2, p187-201. 15p. DOI
• Naresh K. Malhotra, David V. Birks, Peter Willis (2012), “Marketing research: an applied approach”
• Nepomuceno, Marcelo Vinhal; Laroche, Michel; Richard, Marie-Odile; Eggert,
Axel (2012) “
Relationship between intangibility and perceived risk: moderating effect of
privacy, system security and general security concerns.” Journal of Consumer Marketing. Vol. 29 Issue 3, p176-189. 14p.
• Patricia Harris, Francesca Dall’Olmo Riley, Debra Riley, Chris Hand, (2017) "Online and store patronage: a typology of grocery shoppers", International Journal of Retail & Distribution
• Perea y Monsuwe, T, Dellaert, BGC & de Ruyter, JC. (2014). “What Drives Consumers to Shop Online? A Literature Review”, International Journal of Service Industry Management, vol. 15, no. 1, pp. 102-121
• Plog SC. 2010. The power of psychographics and the concept of ventures omens. Journal of Travel Research 40(3): 244-251
• PwC. (2016). Total retail 2016. Retrieved from
https://www.pwc.com/us/en/retail- consumer/publications/assets/Total-Retail - Glohal-Report.pdf
• R.P. Nirmala, and I.J. Dewi (2012), “The effects of shopping orientations, consumer innovativeness, purchase experience, and gender on intention to shop for fashion products online”, International Journal of Business, 13(1), p65-83,
• Sam C .Y. and Sharma C. (2015), “An Exploration into the Factors Driving Consumers in Singapore Towards or Away from the Adoption of Online Shopping”, Global Business and Management Research: An International Journal, Vol. 7, No. 1, pp. 60-73.
• Sandra M. Forsythe and Bo Shi (2013), “Consumer patronage and risk perceptions in Internet shopping“, Journal of Business Research, 2013, vol. 56, issue 11, pages 867-875
• Shahir Bhatt and Amola Bhatt (2012), “Factors Influencing Online Shopping: An Empirical Study in Ahmedabad”, The IUP Journal of Marketing Management, Vol. XI, No. 4, 2012.
• Shim, S., Eastlick, M.A., Lotz, S.L. and Warrington, P. (2001), “An online repurchase intentions model: the role of intention to search”, Journal of Retailing, Vol. 77 No. 3, pp. 397-416.
• Songpol Kulviwat (2016). “Understanding consumer shopping behavior: A comparison of three theories of emotions in predicting online flow”. International Journal of Electronic Marketing and Retailing 7(1):3 • January 2016
• Tong, Xiao (2010), “A Cross-National Investigation of an Extended Technology Acceptance Model in the Online Shopping Context,”. International Journal of Retail and Distribution Management. 38 (10), 742-59.


Работу высылаем на протяжении 30 минут после оплаты.



Подобные работы


©2025 Cервис помощи студентам в выполнении работ