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© 2020 IJRAR September 2020, Volume 7, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR19L2075 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 557
A Study On Level Of Customer Satisfaction Towards
Amazon In Jamshedpur City
Ms. Prachi Sharma
Student, Marketing Specialization
BITM, Sri Balaji University, Pune
ABSTRACT
Virtual shopping is seen as a rising trend in the marketing structure. In India, it is usually mentioned as computer or
mobile shopping. Over the last few years, it is noticed that the overall percentage of online shoppers has enlarged in
India. The significance of the study is to survey the customer satisfaction towards shopping services provided by
Amazon in Jamshedpur city. The research is established with the objective to find the satisfaction level of customers
towards services provided by Amazon and to find the customer preference towards Amazon over other websites and
to analyse the problems faced by the respondents.
In this research, five factors are considered and they are measured against the satisfaction level of the consumers. The
Amazon website can use the findings of the research to understand the types of online buyers and the factors that
influence their online attitude so that the company can develop such ideas and plans so as to convert their target
buyers to retained buyers.
Keywords: Customer Satisfaction, Online Shopping, Preferences.
1. INTRODUCTION
E-Commerce or be clearly said electronic commerce or internet commerce basically refers to purchase and sale of
products and services with the particular help of internet and transferring of cash and data in order to implement these
transactions. A digital innovation is seen growing at a faster pace. Continuous changes in consumer spending have
replaced the physical stores to click and order stores. E-Commerce has basically transformed the particular way of
doing business in India. The journey of E-commerce is from offline to online However, with the innovations in
smartphones, laptops and computers and high penetration of 3G/4G internet at cheapest rates have amplified this
present ecommerce scenario of India.
The rise of e-commerce boss in the midst 1990’s changed the entire scenario of retail industry. Amazon was named
as ‘CADABRA’ and shortly it was changed to ‘AMAZON’. This name seems to be completely fitting as Amazon is
the largest river in the world and Jeff Bezos was building world’s largest bookstore. But later Amazon became an e-
commerce giant that sells electronics, apparels and accessories, food, furniture and many more.
Beyond online retailing, Amazon had set foot in B2B commerce. Amazon provides business operations such as store
house, packing, transporting and supporting the other companies to take full care of the shoppers from point of sale to
actual products being delivered. Amazon acquired Zappos, a chief footwear and garments forum within the year
2009, and it stands out amid Amazon’s acquisition because it had been company’s first vital expansion into retail
industry beyond books. In 2013, immeasurable customers have registered themselves for Amazon Smile. Amazon
Smile is basically a initiative where 0.5% of the every purchase made via Amazon website is donated to a charity of
the customer’s choice. The contribution is made at no extra cost and therefore the customer is free to choose their
own charitable organizations. In the year 2017, Amazon acquired Whole foods, the huge acquisition in terms of cost
and extensively increased Amazon’s value in retail industry. And within same year Amazon was observed as a fastest
© 2020 IJRAR September 2020, Volume 7, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR19L2075 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 558
growing market place in India and the visited site on both desktops and smartphones. Amazon.In shopping app was
the most downloaded shopping app in India.
In addition to the e-commerce, Amazon’s income comes from subscription services, cloud computing services, food
grocery sales and other areas. Amazon makes and sells its own products like Amazon Kindle and Amazon Alexa.
The other products of Amazon include:
Amazon Fresh
Amazon Drive
Fire Tablet
Amazon video
Amazon Prime
Amazon Web Services
Fire TV
Amazon Music
Amazon Wireless
2. LITERATURE REVIEW
should add some offers with the product in every quarter so as to gain more number of customers and then it becomes
easy to retain the existing customers. Amazon should look into delivery of products with better return policy to make
themselves trustworthy before the eyes of the customers.
Amazon is one in all the super successful e-commerce portal in India. The rise of Amazon in the mid 1990’s as
online book store changed the concept of retail industry completely. Amazon is guided by four principles: customer
obsession in place of competitor focus, ardour for innovation, devotion to operational excellence and future thinking.
In this research, I have considered some literature review based on few articles associated with the title of the
observe.
Ashish Bhatt (2014) - “Customer attitude towards online shopping in selected regions of Gujarat"
This research was basically developed to estimate the view point of consumers towards online purchasing.
From overall substantial survey it became observed that respondents had fantastic response closer to online
buying and the good response arises because of the consolation in terms of less time consumption and
problem free purchasing. Age, gender, profession may be taken into consideration as the essential thing for
continually preferring online buying.
Vikash and Vinod Kumar (2017) - “A study on customer perception towards online shopping"
During this research they revealed that the customer have undertaken online shopping with positive mind set
and another truth they discovered that the shoppers are mostly concern towards satisfaction and products
availability. All these factors shows that online shopping presents comfort to customers and therefore the
customers decide upon online buying. They have simply stored the time of going to the market and finally
conclude pronouncing that there's fantastic belief of customers in the direction of shopping online.
© 2020 IJRAR September 2020, Volume 7, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR19L2075 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 559
Amit Sarkar (2018) - “A study on customer satisfaction with reference to Amazon"
The goal of the studies was to understand the customer satisfaction in the direction of Amazon online
shopping and to seek out the parameter that influences the customer feelings. And they observed out that the
main purpose for preferring Amazon is product availability and fast delivery. Customers are glad with the
easy go back and alternate coverage of Amazon. Majority of the respondents opt for Amazon website cited
them through their circle of relatives and friends.
U.Ashika Nancy and Dr. C.Eugine Franco (2018) - “A study based on customer satisfaction towards
Amazon online purchase in Tirunelveli district"
The research was purely based on descriptive and exploratory studies. The studies has been undertaken to
know the response of the buyers towards Amazon in Tirunelveli district. The secondary goal was to see the
advantage available and problems faced by the shoppers of Amazon and that they got here out with the
outcomes that 57% of the respondents are females who usually opt for Amazon for their every purchase. The
study also reveals that Amazon has increased customer care provider in order to confirm the troubles faced by
the way of respondent. Assured security has to be considered while making a price online.
Dr.C.Vijay Vishnu Kumar and R.Gopinath (2019) – “ A study on customer satisfaction towards
Amazon”
The research aims to investigate the effect of factors towards online shopping experience of Amazon and to
identify the offers, return and exchange policy and type of products sold in Amazon and the study reveals that
Amazon should add some offers with the product in every quarter so as to gain more number of customers
and then it becomes easy to retain the existing customers. Amazon should look into delivery of products with
better return policy to make themselves trustworthy before the eyes of the customers.
2.1. RESEARCH PROBLEM
• Delay in delivery of products is also one of the problem that leads to dissatisfaction of customers.
• Unavailability of products at some locations affects the loyalty of customers.
2.2. RESEARCH OBJECTIVES
• To find satisfaction level of customers towards shopping service provided by Amazon website.
• To find customer preference towards Amazon over other websites especially considering the factors of delay
in delivery and unavailability of product.
2.3. HYPOTHESIS
H1 There is significant relationship between customer satisfaction and shopping service provided by Amazon.
H2:- There is significant relationship between customer satisfaction and delay in delivery of products.
H3:- There is significant relationship between customer satisfaction and unavailability of products.
© 2020 IJRAR September 2020, Volume 7, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR19L2075 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 560
3. RESEARCH METHODOLOGY
Type of data
The data needed for doing the survey will be collected from respondents of Jamshedpur. The research consists of
both primary and secondary data. Primary data is the data that is collected for the very first time and secondary data
is the data that is already collected by someone and is available on internet.
Source of data
For this study, ‘Survey Method’ is used to collect the primary data. For this purpose, a well-structured questionnaire
is prepared and convenience sampling method is used to get the form filled by the respondents. Secondary data is
collected from internet.
Sampling method
The sample size is fixed at 222 respondents from Jamshedpur city. Convenience sampling was used to get the
questionnaire filled by the respondents.
Software used
For proving the objective and hypothesis, both PASW Statistics 18 and excel is used. PASW Statistics is used to
prove the relationship between various variables.
4. DATA ANALYSIS
Figure 4.1: Gender of the respondents
Interpretation: Out of total responses, 58.1% of respondents are male and 41.9% of respondents are female.
Figure 4.2: Age of the respondents
© 2020 IJRAR September 2020, Volume 7, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR19L2075 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 561
Interpretation: Out of total responses, 67.6% of the respondents belong to age group of 15 to 25 years, 14.9%
belong to age group of 25 to 35 years, 7.2% belongs to age group of 35 to 45 years, 7.7% of the respondents belongs
to age group of 45 to 55 years and 2.7% of the respondents belongs to the age group of 55 and above.
Figure 4.3:Occupation of respondents
Interpretation: Out of total responses, 65.3% were students, 24.8% belongs to service category, 2.3% were
businessmen, 3.2% were housewife, 0.5% were unemployed and 4.1% does not belong to any of the above category.
Figure 4.4: Mode of awareness for Amazon.In
Interpretation: From the above table it can be interpreted that 39.6% of the respondents came to know about the
website through advertisements, 23.9% heard of Amazon through their family and friends, 23.4% have known
Amazon through search engines i.e. Google, Yahoo, etc. 4.1% are aware of Amazon through promotional mails and
5% through blogs recommendation. 4.1% of the respondents belong to others category.
Figure 4.5: Products mostly purchased
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Interpretation: Out of total responses, it is known that 48.2% of the respondents mostly prefer Amazon to buy
electronic items, 26.6% respondents were using this website to buy apparels and accessories, 7.2% purchase kitchen
and home items and only 3.6% buy stationary products. 14.4% of the respondents belong to the category of others.
\ Figure 4.6: Responses related to delay in delivery of products
Interpretation: Out of total responses it is observed that 6.3% of the respondents strongly agree and 29.3% agree
that they have faced issues related to delay in delivery. 4.5% of the respondents strongly disagree and 31.1% disagree
that they have faced any such issue. 28.8% of the respondents have neutral reaction towards such issue.
Figure 4.7: Responses related to unavailability of products
Interpretation: Out of total responses, it is observed that 45.9% of respondents have faced problem related to
unavailability of products to their location, 34.2% of the respondents have not faced any problem related to
unavailability of products.
Figure 4.8: Where do the respondents shift to buy the product
© 2020 IJRAR September 2020, Volume 7, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR19L2075 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 563
Interpretation: Out of total responses, it is observed that when consumers face issues related to delay in delivery and
unavailability of products, 44% of the respondents shift to other e-commerce sites, 27% shift to retail stores and 19%
shift to shopping malls. 10% of the respondents prefer keep the product for later purchase.
Figure 4.9: Overall experience of the respondents
Interpretation: Out of total respondents, it is seen that 17.6% of the respondents are very much satisfied with the
overall experience of the Amazon, 48.2% of the respondents are satisfied with the Amazon website and only 0.9% of
the respondents does not seem to have good experience in Amazon.
5. HYPOTHESIS TESTING
Hypothesis 1
H0: There is no significant relationship between customer satisfaction and shopping services provided by Amazon.
H1: There is significant relationship between customer satisfaction and shopping services provided by Amazon.
Tools and techniques used – Friedman test and Chi square test
Table 5.1: Friedman Test
Interpretation: From the table of Friedman Test we can conclude good quality is the most influencing factor due to
which respondents prefer Amazon website for shopping because it has the highest value i.e. 3.29 followed by less
price, easy payment and fast delivery and product availability.
Ranks
Mean Rank
Good quality 3.29
Less price 3.14
Variations in product 3.00
Fast delivery 2.95
Product availability 2.63
© 2020 IJRAR September 2020, Volume 7, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
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Table 5.2: Good quality * Overall satisfaction of the respondents
Interpretation: Here the Pearson chi square value is 28.736 and the p value is 0.026 which is less than 0.05 .
Therefore we reject null hypothesis and infer that there is a significant relationship between less price of products and
overall satisfaction of respondents. ( df =16, p<= 0.05)
Table 5.4: Variations in product * Overall satisfaction of the respondents
Interpretation: Here the Pearson chi square value is 27.289 and the p value is 0.038 which is less than 0.05.
Therefore we reject null hypothesis and infer that there is a significant relationship between easy payment of products
and overall satisfaction of respondents. (df=16, p<= 0.05)
Table 5.2: Chi-Square Tests
Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 26.641a 16 .046
Likelihood Ratio 25.940 16 .055
Linear-by-Linear Association .320 1 .572
N of Valid Cases 222
a. 12 cells (48.0%) have expected count less than 5. The minimum expected count is .16.
Interpretation: Here the Pearson chi square value is 26.641and the p value is 0.046
which is less than 0.05. Therefore, we reject null hypothesis and infer that there is a
significant relationship between good quality of products and overall satisfaction of
respondents. (df=16, p<= 0.05)
Table 5.3: Less price * Overall satisfaction of the respondents
Table 5.3: Chi-Square Tests
Value Df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 28.736a 16 .026
Likelihood Ratio 21.890 16 .147
Linear-by-Linear Association 1.731 1 .188
N of Valid Cases 222
a. 13 cells (52.0%) have expected count less than 5. The minimum
expected count is .07.
Table 5.4: Chi-Square Tests
Value Df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 27.289a 16 .038
Likelihood Ratio 18.524 16 .294
Linear-by-Linear Association 4.941 1 .026
N of Valid Cases 222
a. 13 cells (52.0%) have expected count less than 5. The minimum
expected count is .05.
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Table 5.5: Fast delivery * Overall satisfaction of the respondents
Interpretation: Here the Pearson chi square value is 26.462 and the p value is 0.048 which is less than 0.05.
Therefore we reject null hypothesis and infer that there is a significant relationship between fast delivery of products
and overall satisfaction of respondents. (df=16, p<= 0.05)
Table 5.6: Product availability * Overall satisfaction of the respondents
Interpretation: Here the Pearson chi square value is 32.405 and the p value is 0.009 which is less than 0.05.
Therefore we reject null hypothesis and infer that there is a significant relationship between availability of products
and overall satisfaction of respondents. (df=16, p<= 0.05)
Interpretation -All the chi square analysis suggest that the significance value is less than 0.05 which means that the
null hypothesis will be rejected and alternate hypothesis will be accepted. Since all the factors have a significant
relationship with the overall satisfaction, we can infer that overall satisfaction is dependent on the independent
factors. Therefore, we conclude that there is significant relationship between customer’s overall satisfaction and
services provided by Amazon.
Hypothesis 2
H0: There is no significant relationship between customer preference and delay in delivery of products.
H1: There is significant relationship between customer preference and delay in delivery of products.
Tools and techniques used- Regression analysis
Table 5.5 Chi-Square Tests
Value Df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 26.462a 16 .048
Likelihood Ratio 26.634 16 .046
Linear-by-Linear Association 1.393 1 .238
N of Valid Cases 222
a. 12 cells (48.0%) have expected count less than 5. The minimum
expected count is .14.
Table 2.10 Chi-Square Tests
Value Df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 32.405a 16 .009
Likelihood Ratio 27.646 16 .035
Linear-by-Linear Association 8.213 1 .004
N of Valid Cases 222
a. 13 cells (52.0%) have expected count less than 5. The minimum
expected count is .08.
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Table 5.7: Regression
Interpretation: From the above ANOVA table, we get F (1,220)= 5.710 and the p value is 0.018 which is less than
the level of significance value that is 0.05. Therefore we reject null hypothesis and claim that there is significant
relationship between dependent variable (overall preference) and independent variable (delay in delivery of
products). Thus, we can conclude that delay in delivery of products has an impact on overall preference of the
respondents.
Hypothesis 3
H0: There is no significant relationship between customer preference and unavailability of products.
H1: There is significant relationship between customer preference and unavailability of products.
Tools and techniques used- Cross tabs and Chi square test analysis
5.8. Chi Square test:
Interpretation: From the table of Chi square test, the Chi square value is 10.964 and the significance value is 0.027
which is less than 0.05. Therefore, we reject null hypothesis and claim that there is a significant relationship between
dependent variable(overall preference ) and independent variable (unavailability of products).
6. FINDINGS
1. Through detailed research it is observed that there is not much of a difference in gender for preferring online
shopping over traditional stores.
2. The most frequent users of online shopping are students who belongs to the age group of 15-25 years.
3. Advertisements played a crucial role to attract their respondents towards their website. 39.6% of the
respondents in Jamshedpur city were made aware of this store through advertisements ( TV, Newspapers)
4. 48.6% of the respondents prefer Amazon for purchasing electronic items followed by Apparels and
accessories.
Table 5.7 ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression 3.261 1 3.261 5.710 .018a
Residual 125.627 220 .571
Total 128.887 221
a. Predictors: (Constant), Delay in delivery of products
b. Dependent Variable: Overall preference
Table 5.8: Chi-Square Tests
Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 10.964a 4 .027
Likelihood Ratio 11.163 4 .025
Linear-by-Linear Association .282 1 .595
N of Valid Cases 222
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 7.73.
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5. The main reason behind choosing Amazon over other websites is good quality of the products.
6. The services provided by Amazon are good even more scope of improvement is needed for expanding the
customer base.
7. Delay in delivery and unavailability of products to their locations are the primary issues faced by the
respondents of Jamshedpur. 35.6% of customers are seen facing the issue of delay in delivery and 45.9%
dealing with products not being available to their locations.
8. 44.1% of the respondents mostly shift to other e-commerce sites when they find that the product cannot be
delivered to their location.
9. 17.6% of the respondents are very much satisfied and 48.2% of the respondents seems to be satisfied with the
shopping services provided by Amazon and hence Amazon excels in turning their potential customers to
active ones.
7. RECOMMENDATIONS
1. Amazon is one of the super successful e-commerce portals with huge range and variations in products but it
still needs to work in some of the shopping services in order to increase the overall satisfaction of the
respondents.
2. The delivery service provided by Amazon has to be improved especially considering the rural areas.
Appropriate courier services should be adopted keeping in mind the location of the customers.
3. Logistics is one of the main issue due to which there is delay in delivery of products. So a special attention
should be given to logistics and supply chain in order to reduce the delivery time cycle.
4. Amazon should look into the problem of unavailability of products to certain locations due to which the
respondents shift to other e-commerce sites or retail stores to buy the product.
5. Many respondents are aware of Amazon through advertisements, so Amazon should invest more in
advertisements (TV, newspapers) so as to attract the customers to purchase the product.
8. LIMITATIONS
1. Primary data collection is administered through Google forms owing to pandemic situation and it is very
much possible that the respondents might have filled it casually.
2. The study was only limited to Jamshedpur city so the results cannot be generalized to other parts of the
country.
9. CONCLUSION
The thorough study of the research is built on customer satisfaction analysis which serves a great plan concerning
consumer understanding when they go for online shopping. The overall brand value of Amazon seems to be very
high. Through the research carried out, it is very much clear that the people of Jamshedpur had a good experience in
Amazon and they seems to be very much satisfied with the services provided by Amazon. Respondents prefer
Amazon over other websites because of many reasons but the main reason behind is that they provide good quality
products at less price. Moreover it is observed that respondents basically faced issues related to delay in delivery and
unavailability of products to their locations due to which respondents shift to other e-commerce sites or retail stores
for the purchase. Amazon should consider these primary issues very seriously and should try to resolve them which
will actually help in generating stronger customer base and more revenue.
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10. REFERENCES
Ashish Bhatt (2014) – “Customer attitude towards online shopping in selected regions of Gujarat”
https://www.google.com/url?sa=t&source=web&rct=j&url=http://jmm-net.com/journals/jmm/Vol_2_No_2_June_2014/2.pdf&ved=2ahUKEwj514HH4OLpAhWJV30KHR6tAK8QFjABegQICxAG&usg=AOvVaw1yZDC1oMdNmUGKZnQfpMT8 Vikas and Vinod Kumar(2017) – “A study on customer perception towards online shopping”
https://www.google.com/url?sa=t&source=web&rct=j&url=http://www.iosrjournals.org/iosr-jbm/papers/Vol19-
issue8/Version-
1/D1908013235.pdf&ved=2ahUKEwiDqsXq4uLpAhWqyjgGHUyHBJcQFjAAegQIAxAB&usg=AOvVaw19M8bNCW9NL
ORbaquJzCBtU.
Ashika Nancy (2018) – “ A study based on customer satisfaction towards Amazon online purchase in Tirunelveli
District”
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hUKEwj8yb6WhePpAhWtxjgGHfAwAG0QFjACegQIAhAB&usg=AOvVaw1R0rAZ8-a-oyloxJntRq11
Vijay and Gopinath(2019) – “A study on customer satisfaction towards Amazon”
https://www.google.com/url?sa=t&source=web&rct=j&url=http://www.jetir.org/papers/JETIRZ006094.pdf&ved=2a
hUKEwig8b6V4eLpAhUDb30KHQiMBkoQFjAAegQIARAB&usg=AOvVaw1R0rAZ8-a-oyloxJntRq11.
Amit Sarkar(2018) – “A study on customer satisfaction with reference to Amazon.”
https://www.slideshare.net/mobile/AmitSarkar82/consumer-satisfiction-on-amazon-online-