Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Consumer Attitudes Towards Online Grocery Shopping: A Research Conducted on Swedish Consumers
Högskolan i Jönköping, Internationella Handelshögskolan.
Högskolan i Jönköping, Internationella Handelshögskolan.
Högskolan i Jönköping, Internationella Handelshögskolan.
2015 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
Abstract [en]

Purpose: The aim of this research is to investigate if positive attitudes influence the intentions to purchase groceries online. In order fulfil the purpose and test the relationship between attitudes and intentions, the Theory of Planned Behaviour is used as the underlying theoretical model.

Background: The e-commerce market in Sweden is regarded as one of the most developed e-commerce markets in Europe, however the grocery market is still striving for an online breakthrough. One of the largest obstacles for the online grocery market is the lack of consumer adoption. Previous research has emphasized the importance of understanding consumer attitudes and its influence on the consumers’ intention to adopt an e-commerce behaviour. Existing theories recognize a gap within positive attitudes’ and their influence on the intentions to adopt e-commerce.

Method: An explanatory strategy and a deductive approach were applied in order to test the Theory of Planned Behaviour. Three hypotheses were developed based on the model. The empirical study was based on a quantitative approach and the data collection was made possible through an online survey targeted towards adults in Sweden. Furthermore the analysis of the data was done in SPSS through factor analysis, correlation matrix, descriptive variables and multi linear regression analysis, this provided answers for the hypotheses with a 95% confidence interval.

Findings and conclusion: The analysed empirical findings presented overall positive attitudes, as well as a strong correlation between positive attitudes and intentions within online grocery shopping. This answers the research question and fulfils the purpose of examining the influence that positive attitudes have on intentions within the field of online grocery shopping. This research successfully tests the Theory of Planned Behaviour and suggestions for further research is to examine the underlying factors in a qualitative study. 

sted, utgiver, år, opplag, sider
2015. , s. 65
Emneord [en]
Consumer Behaviour, Attitude, Theory of Planned Behaviour, E-commerce, Intention, Online Grocery Shopping
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-26652ISRN: JU-IHH-FÖA-1-20150019OAI: oai:DiVA.org:hj-26652DiVA, id: diva2:812884
Presentation
2015-05-20, Jönköping International Business School, Jönköping, 14:00 (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2015-06-08 Laget: 2015-05-20 Sist oppdatert: 2015-06-08bibliografisk kontrollert

Open Access i DiVA

fulltext(1876 kB)23530 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1876 kBChecksum SHA-512
cc53ef11b82fdac0bde5001a82033c5d784e4525289b95523230d047324b99ae3c8c874d3ec6dd3a5893544ba1152942ce0d0b26ffc13b3f0451c40acd9992e7
Type fulltextMimetype application/pdf

Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 23531 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 4751 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf