33 datasets found
  1. d

    Survey data on impulsive buying

    • data.world
    csv, zip
    Updated Mar 25, 2024
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    Narayanamurthy T (2024). Survey data on impulsive buying [Dataset]. https://data.world/t-nmurthy/survey-data-on-impulsive-buying
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Mar 25, 2024
    Dataset provided by
    data.world, Inc.
    Authors
    Narayanamurthy T
    Description

    I’ve asked shoppers roughly 30 shoppers at each location the same set of questions and requested them to help me on conducting a project on the impulse buying behavior as part of my degree program. Where questions will be simple not very personal and this is to comprehend impulse buying tendency, store environment, products, promotions which are influencing them and basic demographics.

    Main questions which were asked to them were Age, Source of income, On average how many days per month do you shop? Considered or thought of other alternatives before purchasing an item? How often do you feel you make impulse purchases while shopping or after shopping? Today’s shopping duration?

    All of these were asked after the billing process and when they were heading back to parking/leaving the place.

    I’m cognizant to the fact that it’s not a perfect environment and might get mixed and varied responses. However, I wanted to test and try and understand the behavior of impulsive buying (on FMCG items). The entire exercise did take time and at the end I felt very good about the responses and understanding the concept practically. Here are my findings not in any order and no statical testing is done yet! I’m happy to share the data set which I prepared using this survey and will be happy to learn and run any statical inferences to identify the significance of impulsive shopping.

    What I learnt doing this survey and after taking to random customer, impulsive buying is a sudden and immediate purchase with no pre-shopping intentions. Out of 57 people whom I surveyed 55 people did not have any shopping list nor prior knowledge what they actually intended to buy. They are either here to buy specific product category or to fulfill a specific buying task. This approach towards buying is fueled by uncontrollable urge to spend money (as stated beginning of the month), most often on unnecessary items and they are aware of it. This has developed into a compulsive behavior where the act of spending money becomes the reward for the spender regardless of whether they can afford the purchases. The value of impulse purchase out of total bill is generally sizeable to their income pattern. But it would be wrong to assume that all unplanned purchases are impulsively decided.

    The frequent and regular comments at the end which I kept listening were – “I know and finally end up spending more money than I originally set out to spend”, “I bought more than I had planned to buy”, “I don’t want to come back again during the month – again end up coming for some other item”.

    Here is the initial summary of the surveyed data.

  2. u

    Impulse Buying Content Analysis and Online Survey

    • deepblue.lib.umich.edu
    • ecarix.com
    • +7more
    Updated Dec 21, 2018
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    Moser, Carol; Schoenebeck, Sarita Y.; Resnick, Paul (2018). Impulse Buying Content Analysis and Online Survey [Dataset]. http://doi.org/10.7302/d8tf-3q07
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    Dataset updated
    Dec 21, 2018
    Dataset provided by
    Deep Blue Data
    Authors
    Moser, Carol; Schoenebeck, Sarita Y.; Resnick, Paul
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This work investigates what features e-commerce sites use to encourage impulse buying and what tools consumers desire to curb their online spending. We present supplementary material for two studies: (1) a systematic content analysis of 200 top e-commerce websites in the U.S. and (2) a survey of online impulse buyers (N=151).

    Files include: (1) Study 1 Code book for content analysis of websites (2) Study 1 CSV data file resulting from the content analysis (3) Study 1 PDFs (N=200) of e-commerce websites analyzed (4) Study 2 Online survey questionnaire (5) Study 2 Survey code book for free response questions

  3. Average per month spending on impulse purchases in the United States...

    • statista.com
    • stelinmart.com
    Updated Feb 14, 2024
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    Statista (2024). Average per month spending on impulse purchases in the United States 2020-2023 [Dataset]. https://www.statista.com/statistics/1330467/per-month-spending-on-impulse-purchases-usa/
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    Dataset updated
    Feb 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to a survey, consumers in the United States spent an average of about 150 U.S. dollars on impulse purchases each month in 2023. It would seem that impulsive shopping has declined significantly among U.S. consumers, as this was less than half the average monthly splurging amount seen in 2022.

    Impulse purchases by category

    In general, shoppers in the United States bought all kinds of items on impulse, but the most common type of product bought on a whim was apparel. In 2022, over a third of the country’s surveyed shoppers admitted to having bought clothing on impulse. Other product categories at the top of the impulse purchase list included food and grocery items, as well as household goods.

    Apparel shopping behavior in the U.S.

    When deciding what pieces of clothing or shoes to buy, U.S. consumers usually kept an eye on the price of the product (83 percent) and product reviews (77 percent) in 2023. In the United States, specific clothing items are bought for many reasons, and one very important aspect is expression: according to a survey, the majority of fashion consumers wished to convey their personality through their clothing style choices.

  4. Impulse buying habits of U.S. consumers 2018

    • statista.com
    Updated Jan 6, 2020
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    Statista (2020). Impulse buying habits of U.S. consumers 2018 [Dataset]. https://www.statista.com/forecasts/961293/impulse-buying-habits-of-us-consumers
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    Dataset updated
    Jan 6, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 13, 2018 - Sep 20, 2018
    Area covered
    United States
    Description

    This statistic shows the results of a survey conducted in the United States in 2018 on online shopping. Some 64 percent of the respondents stated that they tend to buy products that they didn't intend to buy in an offline shop. The Survey Data Table for the Statista survey Online-Shopping in the U.S. 2018 contains the complete tables for the survey including various column headings.

  5. u

    Data from: Impulse Buying: Designing for Self-Control with E-commerce

    • deepblue.lib.umich.edu
    Updated Mar 18, 2020
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    Moser, Carol; Schoenebeck, Sarita; Resnick, Paul (2020). Impulse Buying: Designing for Self-Control with E-commerce [Dataset]. http://doi.org/10.7302/xj8r-sy16
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    Dataset updated
    Mar 18, 2020
    Dataset provided by
    Deep Blue Data
    Authors
    Moser, Carol; Schoenebeck, Sarita; Resnick, Paul
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These data, survey instruments (including informed consent) and analysis scripts come from Carol Moser's dissertation titled, Impulse Buying: Designing for Self-Control with E-commerce.

  6. d

    Dataset on Online Impulsive buying behaviour of E-paylater user and non...

    • b2find.dkrz.de
    Updated Mar 19, 2024
    + more versions
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    (2024). Dataset on Online Impulsive buying behaviour of E-paylater user and non E-paylater user - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/da655b9b-5d1e-529e-aabc-2db2b490c692
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    Dataset updated
    Mar 19, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The provided dataset sheds light on the online impulsive buying behavior triggered by the e-paylater payment alternative. It includes two files, one of which is a codebook in MS Excel, containing raw data that showcases respondent characteristics such as gender, age, educational background, job status, and more. This file also encompasses all research data, complete with question labels. The second file is a CSV file that contains filtered data suitable for testing purposes. Additionally, the dataset includes a third file that contains the survey questionnaire, attached as a complementary document for reference.This dataset provided here is a valuable resource for conducting various analyses on e-paylater usage and consumer decision-making, especially in Indonesia. With its diverse data and demographic attributes, this dataset allows for comprehensive as well as segmented analyses and tests based on consumer groups categorized by age, gender, education level, and other relevant parameters. It offers a broad range of potential applications for researchers and analysts to explore and gain insights into consumer behavior and preferences.

  7. Black Friday: items purchased on impulse by U.S. consumers 2018

    • statista.com
    Updated Sep 3, 2019
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    Statista (2019). Black Friday: items purchased on impulse by U.S. consumers 2018 [Dataset]. https://www.statista.com/statistics/640201/black-friday-impluse-purchases/
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    Dataset updated
    Sep 3, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 28, 2018 - Oct 8, 2018
    Area covered
    United States
    Description

    This statistic shows the results of a survey conducted in the United States in October 2018. U.S. consumers were asked which items they purchased on impulse while shopping on Black Friday. During the survey, 29 percent of the respondents said that they made impulsive purchases on media such as books, video games, or CDs.

  8. T

    Replication Data for: The Role Website Quality, Credit Card, Sales Promotion...

    • dataverse.telkomuniversity.ac.id
    tsv
    Updated Oct 5, 2023
    + more versions
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    Telkom University Dataverse (2023). Replication Data for: The Role Website Quality, Credit Card, Sales Promotion On Online Impulse Buying Behavior [Dataset]. http://doi.org/10.34820/FK2/WZ4X3U
    Explore at:
    tsv(33000)Available download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    Telkom University Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The usage of online marketplace in Indonesia increases due to Covid-19 pandemic and its supporting environment such as payment systems. This investigation was conducted to determine the effect of Website Quality on Online Impulsive Buying Behavior moderated by Sales Promotion and Credit Card Usage in Indonesian marketplace. This study uses quantitative methods with causal analysis. In this research, data was collected through online questionnaires and 275 respondents who used the marketplace website responded. This research uses PLS-SEM data analysis technique. The results of this study showed that three out of five hypotheses are accepted. This study shows that Website Quality, Credit Card Use, and Sales Promotion have positive significant effect on Online Impulse Buying Behavior. However, the result of this study also revealed interesting findings, that there is not enough evidence to support moderation effect of Credit Card use and Sales Promotion in the relationship between web quality and Online Impulse Buying Behavior.

  9. Main online impulse purchases worldwide 2022, by gender

    • statista.com
    • voiceoftheleft.com
    • +6more
    Updated Sep 29, 2023
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    Statista (2023). Main online impulse purchases worldwide 2022, by gender [Dataset]. https://www.statista.com/statistics/1308151/online-impulse-purchases-worldwide-gender/
    Explore at:
    Dataset updated
    Sep 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 4, 2022 - Feb 10, 2022
    Area covered
    Worldwide
    Description

    Almost six in ten women surveyed in select countries worldwide said they mainly bought clothes or shoes online by impulse. Less than 40 percent of male respondents reported impulse online shopping in this category. For men, electronics was the most common impulse purchase via the internet, with roughly half of respondents.

  10. Questionnaire data collection

    • ieee-dataport.org
    Updated Apr 11, 2022
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    Dunhu Huang (2022). Questionnaire data collection [Dataset]. http://doi.org/10.21227/ya1t-rr63
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    Dataset updated
    Apr 11, 2022
    Dataset provided by
    Institute of Electrical and Electronics Engineershttp://www.ieee.ro/
    Authors
    Dunhu Huang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    With the popularity of mobile networks and the emergence of 5g networks, China has entered the era of universal live streaming with Pan entertainment, which has promoted live streaming sales and becomes the most effective way of network marketing at present. As an important factor affecting consumers' purchase decisions in the webcast, the streamer has attracted the attention of more and more scholars, and there is still a lack of research on the streamer's impulse buying behavior of consumers. The research aims to explore the influencing factors of streamers on consumers' impulsive purchases in live streaming. The empirical results have important theoretical and practical significance. In the live streaming scenario, based on s-o-r model, this paper constructs the influence model of streamer on consumers' impulsive purchase behavior by consulting literature, collects data by means of questionnaire, and makes an empirical study by using the structural equation model to explore the mechanism of streamer affecting consumers' impulsive purchase behavior. The results show that streamer characteristics (personal charisma, professionalism) and streamer performance (interactivity, entertainment) affect consumers' impulsive purchase behavior by affecting consumers' trust and flow experience.

  11. m

    Raw Research data

    • data.mendeley.com
    Updated Aug 1, 2023
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    Tony Wijaya (2023). Raw Research data [Dataset]. http://doi.org/10.17632/njvcdh6mkz.1
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    Dataset updated
    Aug 1, 2023
    Authors
    Tony Wijaya
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Raw data & questionnaire

  12. m

    DATA Impulsive buying

    • data.mendeley.com
    Updated May 10, 2023
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    Tony Wijaya (2023). DATA Impulsive buying [Dataset]. http://doi.org/10.17632/nhgzt94t9g.1
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    Dataset updated
    May 10, 2023
    Authors
    Tony Wijaya
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Research Data

  13. T

    Data from: Tourism 4.0: Digital media communication on online impulse buying...

    • dataverse.telkomuniversity.ac.id
    tsv
    Updated Mar 31, 2022
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    Telkom University Dataverse (2022). Tourism 4.0: Digital media communication on online impulse buying and e-satisfaction [Dataset]. http://doi.org/10.34820/FK2/UXHPAR
    Explore at:
    tsv(31920)Available download formats
    Dataset updated
    Mar 31, 2022
    Dataset provided by
    Telkom University Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The rapid development of ICT changes communication practices and strategies involving government and stakeholder policies in the tourism industry. This is also a challenge and an opportunity for every country in general and tourist destinations to create interesting information on websites and other online media as a promotion. This study aims to find out how digital communication media, especially websites, can influence impulsive buying online and e-satisfaction. The quantitative research approach used surveys of 400 respondents. Data analyzed using the Structural Equation Modelling (SEM) technique. The study found that website quality, website personality, and sales promotion influence the impulsive online purchases. Furthermore, website quality, website personality, and impulsive online buying have a simultaneous effect on e-satisfaction. Online travel agents are advised to pay more attention and improve website quality, website personality, and online impulsive buying as the predictor of e-satisfaction.

  14. f

    Data from: The Influence of Culture on Impulse Buying Behavior: A Systematic...

    • scielo.figshare.com
    jpeg
    Updated Jul 18, 2023
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    Abu Bashar; Shalini Singh; Vivek Kumar Pathak (2023). The Influence of Culture on Impulse Buying Behavior: A Systematic Literature Review [Dataset]. http://doi.org/10.6084/m9.figshare.23702176.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset provided by
    SciELO journals
    Authors
    Abu Bashar; Shalini Singh; Vivek Kumar Pathak
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT Culture plays a significant buying role in shaping different aspects of consumer behavior such as rational, impulse, and compulsive buying behavior. Impulse buying is one of the prevalent phenomena that significantly affect the sales revenue of companies. This study focuses on unveiling the interaction between cultural factors and impulse buying behavior. For this systematic literature review, 112 significant articles were examined to understand the relationship between various aspects of culture and impulse buying behavior in both online and offline contexts. Further investigation of impulse buying in cross-cultural context helps to understand and classify different theoretical perspectives to study impulse buying behavior and cultural factors. This study offers practical implications for retail professionals and e-commerce strategists to design and implement viable cross-cultural marketing campaigns. Academic researchers may also understand research gaps and contribute further to understanding cross-cultural impulse buying.

  15. Black Friday: items purchased on impulse by U.S. consumers 2018, by gender

    • statista.com
    Updated Sep 3, 2019
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    Statista (2019). Black Friday: items purchased on impulse by U.S. consumers 2018, by gender [Dataset]. https://www.statista.com/statistics/640210/black-friday-impluse-purchases-by-gender/
    Explore at:
    Dataset updated
    Sep 3, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 28, 2018 - Oct 8, 2018
    Area covered
    United States
    Description

    This statistic shows the results of a survey conducted in the United States in October 2018. U.S. consumers were asked which items they purchased on impulse while shopping on Black Friday. During the survey, 37 percent of the female respondents said that they made impulsive purchases on apparel or footwear.

  16. f

    Data_Sheet_1_The Moderating Role of Anticipated Regret and Product...

    • figshare.com
    docx
    Updated Jun 1, 2023
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    Bin Li; Minqi Hu; Xiaoxi Chen; Yongxin Lei (2023). Data_Sheet_1_The Moderating Role of Anticipated Regret and Product Involvement on Online Impulsive Buying Behavior.docx [Dataset]. http://doi.org/10.3389/fpsyg.2021.732459.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Bin Li; Minqi Hu; Xiaoxi Chen; Yongxin Lei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Online impulsive buying behavior has drawn an increasing amount of attention from researchers and marketers as well; however, little research has explored how cognitive aspect and emotional aspect effect online impulsive buying together. The study examines the role of product involvement (cognitive aspect) and anticipated regret (emotional aspect) on the online impulsive buying behavior of the consumer. The results indicate that consumers who experienced downward anticipated regret showed more online impulsive buying behavior than those who experienced upward anticipated regret. Moreover, anticipated regret moderates the relationship between product involvement and online impulsive buying behavior, for participants who experienced downward anticipated regret showing more online impulsive buying behavior than those who experienced upward anticipated regret in the low product involvement group, but there is no differential between downward and upward anticipated regret in the high involvement product group. These findings suggest that anticipated regret helps consumers make more deliberative online shopping choices. The implications for both future research and online consumers are discussed.

  17. f

    Data_Sheet_1_From experience to expectation: The reverse effect of power on...

    • figshare.com
    pdf
    Updated May 31, 2023
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    Yanzhi Wang; Tang Yao; Qi Qiu (2023). Data_Sheet_1_From experience to expectation: The reverse effect of power on purchasing impulsiveness.pdf [Dataset]. http://doi.org/10.3389/fpsyg.2023.1094536.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Yanzhi Wang; Tang Yao; Qi Qiu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionPrevious literatures have mainly explored the impact of the experience of power on impulsive buying, but have ignored the impacts of the expectations of power. The purpose of this research is to delineates a two-facet portrait of power in the role of affecting purchase impulsiveness by proposing a theoretical extension from the experience of power to the expectations of power.MethodsFour laboratory experiments were developed that used ANOVA to verify the hypothesis. A moderated mediation path model was established including the experience of power, product attribute, the expectations of power, deservingness, and purchasing impulsiveness as observed variables.ResultsThe results revealed that powerless consumers are more likely to impulsively buy hedonic products; while powerful consumers prefer to impulsively buy utilitarian products. However, when focusing on the expectations of power, powerless consumers feel a lower perception of deservingness, which reduces their impulse to buy hedonic products. In contrast, when powerful consumers imagine how powerful people should behave in consumption, they will experience a higher sense of deservingness and increase purchasing impulsiveness for hedonic products. The underlying mechanism is that deservingness plays a mediation role in the three-way interaction impacts of the experience of power, product attribute, and the expectations of power on purchasing impulsiveness.ConclusionThe current research formulates a new theoretical perspective on the relationship between power and purchasing impulsiveness. An experience-expectation model of power is presented that proposes consumers’ purchasing impulsiveness can be affected both by the experience of power and the expectations of power.

  18. Consumers who mostly buy on impulse online or in-store in the UK 2023

    • statista.com
    Updated Nov 1, 2023
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    Statista (2023). Consumers who mostly buy on impulse online or in-store in the UK 2023 [Dataset]. https://www.statista.com/statistics/1418540/onine-and-in-store-impulse-shopping-uk/
    Explore at:
    Dataset updated
    Nov 1, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 7, 2023
    Area covered
    United Kingdom
    Description

    In 2023, approximately a third of consumers surveyed in the United Kingdom (UK) said they were most likely make impulse shopping purchases when shopping in-store. At 36 percent, an even higher percentage of respondents believed they were more likely to make impulse buys when browsing and shopping online.

  19. c

    BBC Big Money Test, 2011

    • datacatalogue.cessda.eu
    Updated Aug 9, 2023
    + more versions
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    Furnham, A., University College London (2023). BBC Big Money Test, 2011 [Dataset]. http://doi.org/10.5255/UKDA-SN-8132-1
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    Dataset updated
    Aug 9, 2023
    Dataset provided by
    Fenton-O'Creevy, M., Open University, Business School
    Department of Psychology
    Authors
    Furnham, A., University College London
    Time period covered
    Apr 1, 2011 - Oct 1, 2011
    Area covered
    United Kingdom
    Variables measured
    Individuals, National
    Measurement technique
    Online (web-based) survey
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    In the spring of 2011, the BBC Lab UK used the flagship consumer affairs programme Watchdog to launch an online survey, across the nation, of emotional and psychological relationships with money: the Big Money Test. Public response to the survey was good and over the following months more than 109,000 people completed the survey. The survey was designed by Mark Fenton-O’Creevy (Open University) and Adrian Furnham (University College London) to develop ways of characterising people’s psychological and emotional relationships with money and examine how they affect financial health.

    A good deal of public money and resources are devoted to providing people with the knowledge they need to manage their financial affairs. Regulatory regimes require providers of financial services to provide their customers with specific forms of financial knowledge. However, for the most part, these kinds of knowledge-based strategies have had limited success in improving how capable people are at managing their money. This study was founded in a concern that knowledge-focused approaches to financial behaviour miss a very important part of the picture, the emotional and attitudinal elements of our relationship to money. The researchers wanted to question whether it is lack of financial knowledge that most often makes the difference in successfully navigating financial difficulties or our habits, attitudes, beliefs and emotions about money. They wanted to look at whether there are useful ways in which we can characterise a person’s ‘financial personality’ and whether how people manage their emotions matters to their financial behaviour. Participants were told that by participating they would help scientists understand how and why different people think and feel about money in different ways. As an incentive for participation they were offered (automated) video and web feedback on key self-reported financial capability measures, and their score on a financial knowledge test on completion of the online questionnaire, followed by a video of a television presenter (Martin Lewis, who also advised on elements of the survey) offering them tips on personal financial management.

    Further information can be found on the BBC Lab UK Big Money Test webpage and the BBC Science Big Money Test results webpage.

    Some participants also took part in other studies hosted by the BBC’s Lab UK (with the same unique ID) so in principle matching is possible across data sets. This study also includes a combined dataset containing matched respondents who also completed the BBC Big Personality Test (held at the UK Data Archive under SN 7656).


    Main Topics:

    The main topics covered by the survey include: financial capability, money pathology, money attitudes, financial outcomes, emotion regulation, vigilance and avoidance, financial knowledge, behavioural approach system, behavioural avoidance system, and impulsive buying.

  20. Impulse buying behavior on promotional items in the UK 2020, by gender

    • statista.com
    Updated Nov 30, 2021
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    Statista (2021). Impulse buying behavior on promotional items in the UK 2020, by gender [Dataset]. https://www.statista.com/statistics/1137688/uk-impulse-purchase-behaviour-by-gender/
    Explore at:
    Dataset updated
    Nov 30, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Jun 2020
    Area covered
    United Kingdom
    Description

    According to the results of a recent survey conducted in the United Kingdom (UK), around 28 percent of male consumers tended to purchase more promotional items impulsively that would end up going to waste. The net share of female consumers who would agree on this premise was slightly lower than that at 27 percent.

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Narayanamurthy T (2024). Survey data on impulsive buying [Dataset]. https://data.world/t-nmurthy/survey-data-on-impulsive-buying

Survey data on impulsive buying

Survey data on impulsive buying and its impact

Explore at:
zip, csvAvailable download formats
Dataset updated
Mar 25, 2024
Dataset provided by
data.world, Inc.
Authors
Narayanamurthy T
Description

I’ve asked shoppers roughly 30 shoppers at each location the same set of questions and requested them to help me on conducting a project on the impulse buying behavior as part of my degree program. Where questions will be simple not very personal and this is to comprehend impulse buying tendency, store environment, products, promotions which are influencing them and basic demographics.

Main questions which were asked to them were Age, Source of income, On average how many days per month do you shop? Considered or thought of other alternatives before purchasing an item? How often do you feel you make impulse purchases while shopping or after shopping? Today’s shopping duration?

All of these were asked after the billing process and when they were heading back to parking/leaving the place.

I’m cognizant to the fact that it’s not a perfect environment and might get mixed and varied responses. However, I wanted to test and try and understand the behavior of impulsive buying (on FMCG items). The entire exercise did take time and at the end I felt very good about the responses and understanding the concept practically. Here are my findings not in any order and no statical testing is done yet! I’m happy to share the data set which I prepared using this survey and will be happy to learn and run any statical inferences to identify the significance of impulsive shopping.

What I learnt doing this survey and after taking to random customer, impulsive buying is a sudden and immediate purchase with no pre-shopping intentions. Out of 57 people whom I surveyed 55 people did not have any shopping list nor prior knowledge what they actually intended to buy. They are either here to buy specific product category or to fulfill a specific buying task. This approach towards buying is fueled by uncontrollable urge to spend money (as stated beginning of the month), most often on unnecessary items and they are aware of it. This has developed into a compulsive behavior where the act of spending money becomes the reward for the spender regardless of whether they can afford the purchases. The value of impulse purchase out of total bill is generally sizeable to their income pattern. But it would be wrong to assume that all unplanned purchases are impulsively decided.

The frequent and regular comments at the end which I kept listening were – “I know and finally end up spending more money than I originally set out to spend”, “I bought more than I had planned to buy”, “I don’t want to come back again during the month – again end up coming for some other item”.

Here is the initial summary of the surveyed data.

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