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Fighting Food Waste with Food Sharing Platforms? A quantitative analysis of consumers’ repurchase intention on profit food sharing platforms

Chen, Jiqing LU (2022) In IIIEE Master Thesis IMEM01 20221
The International Institute for Industrial Environmental Economics
Abstract
Food waste could cause problems in society, the economy, and the environment, which is regarded as a global problem. In advanced countries, the majority of food waste happens in the retailer-consumer interface. Commercial digital food sharing platforms (CDFSPs) as a part of sharing economy could help save food from ending up in the bins in the business-to-consumer (B2C) context. This thesis focused on consumer repurchase intention, which is vital to the success of CDFSPs and transfer consumer food consumption to a more sustainable pattern. There is a lack of research on consumer repurchase intention in CDFSPs context. Against this background, this thesis conducted a quantitative approach to investigate the factors that could influence... (More)
Food waste could cause problems in society, the economy, and the environment, which is regarded as a global problem. In advanced countries, the majority of food waste happens in the retailer-consumer interface. Commercial digital food sharing platforms (CDFSPs) as a part of sharing economy could help save food from ending up in the bins in the business-to-consumer (B2C) context. This thesis focused on consumer repurchase intention, which is vital to the success of CDFSPs and transfer consumer food consumption to a more sustainable pattern. There is a lack of research on consumer repurchase intention in CDFSPs context. Against this background, this thesis conducted a quantitative approach to investigate the factors that could influence consumers’ repurchase intention in profit food sharing apps. The study extended the technology acceptance model (TAM) and analyzed seven factors that could potentially influence repurchase intention. The non-probability sampling methods were adopted to distribute an online survey to collect data from March 20 to April 8, 2022. Finally, 218 valid respondents were collected. The data analysis findings expanded previous research on sharing economy platforms in the field of CDFSPs. An independent-samples t-test method was used to investigate the different performances of consumers in terms of demographical characteristics, and the results showed that the CDFSPs consumers were not a homogeneous group. Then, the author utilized the stepwise regression analysis to test the hypothesis, suggesting that perceived risk can significantly negatively influence consumer repurchase intention. Significant positive relationships have been observed between environmental consideration, social influence, perceived ease of use, economic value, and perceived usefulness and repurchase intention. Furthermore, the factor trust did not significantly influence repurchase intention on CDFSPs. The author further provided recommendations to the CDFSPs practitioners to help them better develop the platforms. (Less)
Please use this url to cite or link to this publication:
author
Chen, Jiqing LU
supervisor
organization
course
IMEM01 20221
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Food waste, Food sharing, Sharing economy platform, Repurchase intention, Technology acceptance model.
publication/series
IIIEE Master Thesis
report number
2022:18
ISSN
1401-9191
language
English
id
9096235
date added to LUP
2022-08-15 12:03:18
date last changed
2022-08-15 12:03:18
@misc{9096235,
  abstract     = {{Food waste could cause problems in society, the economy, and the environment, which is regarded as a global problem. In advanced countries, the majority of food waste happens in the retailer-consumer interface. Commercial digital food sharing platforms (CDFSPs) as a part of sharing economy could help save food from ending up in the bins in the business-to-consumer (B2C) context. This thesis focused on consumer repurchase intention, which is vital to the success of CDFSPs and transfer consumer food consumption to a more sustainable pattern. There is a lack of research on consumer repurchase intention in CDFSPs context. Against this background, this thesis conducted a quantitative approach to investigate the factors that could influence consumers’ repurchase intention in profit food sharing apps. The study extended the technology acceptance model (TAM) and analyzed seven factors that could potentially influence repurchase intention. The non-probability sampling methods were adopted to distribute an online survey to collect data from March 20 to April 8, 2022. Finally, 218 valid respondents were collected. The data analysis findings expanded previous research on sharing economy platforms in the field of CDFSPs. An independent-samples t-test method was used to investigate the different performances of consumers in terms of demographical characteristics, and the results showed that the CDFSPs consumers were not a homogeneous group. Then, the author utilized the stepwise regression analysis to test the hypothesis, suggesting that perceived risk can significantly negatively influence consumer repurchase intention. Significant positive relationships have been observed between environmental consideration, social influence, perceived ease of use, economic value, and perceived usefulness and repurchase intention. Furthermore, the factor trust did not significantly influence repurchase intention on CDFSPs. The author further provided recommendations to the CDFSPs practitioners to help them better develop the platforms.}},
  author       = {{Chen, Jiqing}},
  issn         = {{1401-9191}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{IIIEE Master Thesis}},
  title        = {{Fighting Food Waste with Food Sharing Platforms? A quantitative analysis of consumers’ repurchase intention on profit food sharing platforms}},
  year         = {{2022}},
}