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Online Grocery Shopping: An exploratory study of consumer decision making processes

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In the last decade online shopping has been a consumer behavior that has changed the usual patterns of buying behavior in the market. This paper aims to present a literature review on the differences between the consumer characteristics that tend to purchase online food products and those who are later innovators of this new form of shopping. In the countries of the European Union there is an increase of 17% of online purchases for food products with a doubled trend of these purchases for rural areas. In the US, online food sales are expected to keep up after the pandemic and it is expected to double by 2025. Nevertheless, more than a decade ago, there is still a large group of customers resisting this way of buying. On the contrary, some surveys show that situational factors, such as having a baby or developing health problems, are triggers for starting to buy groceries online and also once these situational factors are gone consumer discontinues this behavior. Consumers consider o...

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Online grocery shopping is a newly established e-commerce business. The report talks about the concept in general and how do you go about shopping groceries on the internet. It also explains the general preference, that is, amongst people who all prefer to shop groceries online. In addition, it also states the benefits and limitations of the said concept and how has it influenced so far. For this research, a questionnaire was drafted and passed around. The responses were then summarized and analyzed. The report also asserts that there are a few impacts of this e-commerce business. It has been observed that monetary saving, customer loyalty and cash free transactions are some of the major factors that are prominent amongst customers for online grocery shopping. In conclusion, online grocery services meet a number of consumer needs including providing products for niche markets or helping the time starved consumer shop for the mundane weekly groceries. With the advent of online grocery shopping services. There has been a big advantage for space people who are home-bound, handicap, sick or unwell or unable to move, who are able to utilize this service to the best. It is realized that the online shopping vendors are able to reach a vast area of customers where in the local supermarkets or markets have to be visited by people and people would not like to travel long distances for such kind of physical shopping.

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PurposeThe purpose of this paper is to analyse the online preference structures of consumers.Design/methodology/approachNovel choice‐based conjoint experiments are used and are administered online. A select group of high net worth online grocery shoppers are examined. Both qualitative and quantitative procedures are used to determine the most frequently cited attributes affecting online patronage.FindingsWhilst there is no single attribute on which a retailer could develop a competitive edge, a significant market advantage can be gained by being simultaneously “best in class” on the top four attributes.Practical implicationsThis research approach has significant practical application to a wide range of strategic marketing questions.Originality/valueThese findings give focus to the management task facing marketing executives in the UK multichannel grocery market. How these findings might be used within a marketing plan is illustrated.

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Zona Sul was the first supermarket chain in Rio de Janeiro to provide online sales purchases services and it is the leader in its segment in the city. Therefore, it was chosen as the object of this study, which attempts to describe and analyze the decision-making process of consumers who use the Internet to shop for groceries. Twenty in-depth interviews were conducted with these consumers. The interviews were held at the moment they were shopping and the interviewees´ navigation was recorded by means of a software. The results showed that the interviewees search for convenience, speed and ease to purchase. Aspects from the website that partially compromise these objectives were identified. The conclusions bring suggestions to make the shopping process easier and faster.

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Online shopping has been known as a rapidly growing business, and although online grocery shopping has not followed these same growth patterns in the past, it is now being recognized for its potential. As such, the focus of previous online shopping research has seldom encompassed this specific retail market, with the existing studies focusing essentially on consumers’ motivations and attitudes, rather than how consumers actually shop for groceries online. Therefore, this dissertation has the objective of uncovering some of the details of consumer decision making processes for this specific online retail market, details which can help further both academic research and managerial knowledge. The general consumer decision making process is characterized by a pres delusional, a delusional and a post-decision phase. All of which were addressed in an exploratory fashion, through a mixed methods strategy which combined both quantitative and qualitative methods of data collection. One of the main results obtained through this study is the complementary of retail channels - as it was found that online grocery shopping serves essentially for major shopping trips, being complemented with smaller trips to traditional stores.

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Table of Contents

  • 1. Online shopping and purchasing preferences
  • 2. Online reviews
  • 3. New modes of payment and the ‘cashless economy’
  • Acknowledgments

The American Trends Panel (ATP), created by Pew Research Center, is a nationally representative panel of randomly selected U.S. adults living in households. Respondents who self-identify as internet users and who provided an email address participate in the panel via monthly self-administered web surveys, and those who do not use the internet or decline to provide an email address participate via the mail. The panel is being managed by Abt SRBI.

Data in this report are drawn from the December wave of the panel, conducted Nov. 24-Dec. 21, 2015, among 4,787 respondents (4,317 by web and 470 by mail). The margin of sampling error for the full sample of 4,787 respondents is plus or minus 1.94 percentage points.

Members of the American Trends Panel were recruited from two large, national landline and cellphone random-digit-dial (RDD) surveys conducted in English and Spanish. At the end of each survey, respondents were invited to join the panel. The first group of panelists was recruited from the 2014 Political Polarization and Typology Survey, conducted from Jan. 23 to March 16, 2014. Of the 10,013 adults interviewed, 9,809 were invited to take part in the panel and a total of 5,338 agreed to participate. 1 The second group of panelists was recruited from the 2015 Survey on Government, conducted from Aug. 27 to Oct. 4, 2015. Of the 6,004 adults interviewed, all were invited to join the panel and 2,976 agreed to participate. 2

Participating panelists provided either a mailing address or an email address to which a welcome packet, a monetary incentive and future survey invitations could be sent. Panelists also receive a small monetary incentive after participating in each wave of the survey.

The ATP data were weighted in a multistep process that begins with a base weight incorporating the respondents’ original survey selection probability and the fact that in 2014 some panelists were subsampled for invitation to the panel. Next, an adjustment was made for the fact that the propensity to join the panel and remain an active panelist varied across different groups in the sample. The final step in the weighting uses an iterative technique that matches gender, age, education, race, Hispanic origin and region to parameters from the U.S. Census Bureau’s 2013 American Community Survey. Population density is weighted to match the 2010 U.S. Decennial Census. Telephone service is weighted to estimates of telephone coverage for 2015 that were projected from the July-December 2014 National Health Interview Survey. It also adjusts for party affiliation using an average of the three most recent Pew Research Center general public telephone surveys and for internet use using as a parameter a measure from the 2014 Survey of Political Polarization. Sampling errors and statistical tests of significance take into account the effect of weighting. Interviews are conducted in both English and Spanish, but the Hispanic sample in the American Trends Panel is predominantly native born and English speaking.

The following table shows the unweighted sample sizes and the error attributable to sampling that would be expected at the 95% level of confidence for different groups in the survey:

chapter 3 methodology online shopping

Sample sizes and sampling errors for other subgroups are available upon request.

In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.

The web component of the December wave had a response rate of 68.4% (4,317 responses among 6,308 web-based individuals in the panel); the mail component had a response rate of 66% (417 responses among 712 non-web individuals in the panel). Taking account of the combined, weighted response rate for the recruitment surveys (10.0%) and attrition from panel members who were removed at their request or for inactivity, the cumulative response rate for the December ATP wave is 3%. 3

  • When data collection for the 2014 Political Polarization and Typology Survey began, non-internet users were subsampled at a rate of 25%, but a decision was made shortly thereafter to invite all non-internet users to join. In total, 83% of non-internet users were invited to join the panel. ↩
  • Respondents to the 2014 Political Polarization and Typology Survey who indicated that they are internet users but refused to provide an email address were initially permitted to participate in the American Trends Panel by mail but were no longer permitted to join the panel after Feb. 6, 2014. Internet users from the 2015 Survey on Government who refused to provide an email address were not permitted to join the panel. ↩
  • Approximately once per year, panelists who have not participated in multiple consecutive waves are removed from the panel. These cases are counted in the denominator of cumulative response rates. ↩

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A Consumers Approaches Towards Online Shopping in India: Challenges and Perspectives

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  • First Online: 19 November 2023
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chapter 3 methodology online shopping

  • Savita Pramod Vaidya 9  

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Online shopping is a type of shopping where people can easily buy things and services online. We can get a sense of how much everything costs when purchased online through online shopping. Customers can buy a variety of goods and services through it, and sellers can keep track of their business and transactions online. It saves time and is convenient for shopping. It could be said that traditional shopping methods have evolved to make shopping simpler, more enjoyable, and more adaptable. The best way to shop for a wide range of items at once and from any location is online. As a result, we can consider online shopping to be one of the most enjoyable and convenient ways to shop. It saves money and time by reducing the crowd at the market. At the time, online shopping turned out to be a necessity. Because in today’s highly competitive world, people are too busy working in their offices to shop. Their lives will be made easier and faster by this technology. The primary objective of this research is to investigate consumer attitudes toward Indian online shopping as well as the obstacles and perspectives of this expanding industry.

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Vaidya, S.P. (2024). A Consumers Approaches Towards Online Shopping in India: Challenges and Perspectives. In: Pawar, P.M., et al. Techno-Societal 2022. ICATSA 2022. Springer, Cham. https://doi.org/10.1007/978-3-031-34648-4_1

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    Methodology. By Aaron Smith and Monica Anderson. The American Trends Panel (ATP), created by Pew Research Center, is a nationally representative panel of randomly selected U.S. adults living in households. Respondents who self-identify as internet users and who provided an email address participate in the panel via monthly self-administered web ...

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    ds with a mean of 3.97 each.6. ConclusionThe consumer's perception on online shopping varies from individual to individual and the perception is limited to a certain extent with the availability of the proper connectivi. y and the exposure to the online shopping. The perception of the consumer also has similarities and differen.

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