SlideServe
Télécharger Obtenir Pro
Menu
Accueil Pro
Préférences
ApparenceLight Aide et commentaires
© SlideServe · v2026

Exploring the Relationship Between E-Shopping and In-Store Shopping: An Empirical Study

wayne avatar
wayne
12 diapositives · 263 Views · Oct 01, 2014

This study investigates the correlation between online searching and buying behaviors and the frequency of non-daily shopping trips, accounting for various factors such as behavioral habits, attitudes towards shopping, land use, personality traits, and sociodemographics. Conducted in selected areas of the Netherlands, data collection was performed via surveys from Internet users, resulting in significant findings. Key results indicate that online activities positively relate to in-store shopping trips, suggesting a complementarity more than substitution between e-shopping and traditional shopping.

Exploring the Relationship Between E-Shopping and In-Store Shopping: An Empirical Study - slide 1
01 / 12Exploring the Relationship Between E-Shopping and In-Store Shopping: An Empirical Study
1 / 17

Télécharger la présentation

Exploring the Relationship Between E-Shopping and In-Store Shopping: An Empirical Study
Une image / un lien ci-dessous est fourni (tel quel) pour télécharger la présentation

Politique de téléchargement : le contenu du site vous est fourni TEL QUEL pour votre information et votre usage personnel ; il ne peut être vendu, concédé sous licence ni partagé sur d’autres sites sans l’accord de son auteur.Le contenu vous est fourni TEL QUEL, pour votre information et votre usage personnel uniquement. Téléchargez la présentation en cliquant sur ce lien. Lors du téléchargement, si vous ne parvenez pas à télécharger une présentation, l’éditeur a peut-être supprimé le fichier de son serveur.Pendant le téléchargement, si vous ne parvenez pas à obtenir une présentation, le fichier a peut-être été supprimé par l’éditeur.

F I N

Plus de contenu associé

Transcription de la présentation

  1. E-shopping and its relationship with in-store shopping empirically investigated ICT Specialist Meeting Doorn, The Netherlands 4-7 November Sendy Farag, Tim Schwanen & Martin Dijst Utrecht University

  2. Presentation outline 1 Introduction 2 Methodology 3 Results 4 Preliminary conclusions

  3. 1 Introduction • Research question How do the frequencies of online searching and online buying relate to the frequency of non-daily shopping trips? • Accounting for these variables: • Behavioural (Internet use, home shopping) • Attitudinal (e-shopping, in-store shopping) • Land use (residential environment, shop accessibility) • Personality (active lifestyle, adventurous) • Sociodemographic (gender, age, education, income)

  4. 2 Methodology (1) • Data collection period: November + December 2003 • Research areas: Utrecht, Nieuwegein, Culemborg, and Lopik • Research instruments: 1. Shopping survey 2. Two-day travel diary (Friday & Saturday)

  5. 2 Methodology (2) Step 1: selection survey per mail 8,000 households  1946 (24% of households) Willing to participate  1566 (80% of households) Internet users  1210 (77% of willing to participate) Step 2: main survey per mail or online 1210 Internet users  827 (68% of Internet users) 656 mail survey  464 (71% of mail respondents) 554 online survey  363 (65% of online respondents)

  6. 2 Methodology (3) • Method of analysis Structural Equation Modeling = combination of path analysis and factor analysis • Stepwise approach model building Step 1: Online searching, online buying, shopping trips Step 2: Behavioural & attitudinal variables Step 3: Land use variables Step 4: Personality & sociodemographic variables

  7. 3 Results (1) • Sample description • 61% female, mean age 41 years, 28% single • 57% high education, 28% high income • 2.3 non-daily shopping trips per month • Internet use and e-shopping • 5 years Internet experience, 57% daily use • 58% ever bought online, average 4.6 times • only 14% neither search, nor buy online

  8. - - - + + + + + + + + + + + + + - + 3 Results (2) Urban environment Shop accessibility Trip chaining Internet connection Internet use Like e-shopping Home shopping Car Online searching Online buying Shopping trips Adventurous Like in-store shopping

  9. 4 Preliminary conclusions • Frequencies of online searching and buying positively related to the frequency of non-daily shopping trips • Residential environment indirectly affects e-shopping via Internet use and Internet connection • Complementarity or expansion more likely than substitution

  10. Whether online or in-store……