Why do shoppers keep making online shopping trips? Learning from evidence in Bandung, Indonesia

Joewono, Tri Basuki; Rizki, Muhamad; Belgiawan, Prawira Fajarindra; Irawan, Muhammad Zudhy

doi:10.1016/j.eastsj.2020.100016

Cited by 10 publications

(11 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The method uses a different approach from the multinomial logistic regression model ( Hair et al, 2010 , Press and Wilson, 1978 ). It has been used in various analyses ( Joewono et al, 2019 , Joewono et al, 2020 ; Lane, 2008; Peter and Anandkumar, 2016 , Shi et al, 2018 ) and is very suitable where the samples are divided into groups of nonmetric dependent variables due to its ability to help understand the differences between groups ( Hair et al, 2010 ). In discriminant analysis, the concept of variate is important.…”

Section: Methodsmentioning

confidence: 99%

“…The issue of inclusivity relating to access to mobile phones and ICT-related activities (e-learning) has been raised by Varghese and Jana (2019) , as it appears to affect social inclusion of marginalized groups. ICT usage experience has also been found to correlate with online services adoption, in which more experience leads to higher tendency for adoption (Irawan et al, 2019; Joewono et al, 2020 ).…”

Section: Impact Of Covid-19 On Travel and Ict Usementioning

confidence: 99%

See 1 more Smart Citation

Investigating influencing factors for ICT adoption that changes travel behavior in response to the COVID-19 outbreak in Indonesia

Rizki

Joewono

Irawan

et al. 2023

Case Studies on Transport Policy

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

Section: Impact Of Covid-19 On Travel and Ict Usementioning

confidence: 99%

Investigating influencing factors for ICT adoption that changes travel behavior in response to the COVID-19 outbreak in Indonesia

Rizki

Joewono

Irawan

et al. 2023

Case Studies on Transport Policy

View full text Add to dashboard Cite

“…Walaupun saat ini pandemic mulai mereda, kebiasaan berbelanja online telah memberikan dampak social yang meluas. Hingga kebiasaan belanja seseorang telah menjadi pendorong orang lain untuk menyukai dan menyesuaikan trend (Escobar et.al, 2013;Joewono, Rizki, Belgiawan, & Irawan, 2020).…”

Section: Pembahasanunclassified

Investigasi Faktor Pendukung Dan Penghambat Belanja Online Di Kota Kendari

Isalman

Ramadhani

Ilyas

et al. 2022

j.imb

View full text Add to dashboard Cite

Investigasi faktor pendukung dan penghambat belanja secara online di kota kendari. Intensitas belanja online terus meningkat. Perbaikan ekosistem penunjang terus diusahakan, tetapi sejumlah harapan belumlah di rasakan secara maksimal dan juga resiko masih terus membayangi saat belanja online. Menjadi urgen untuk mengetahui apa yang menjadi faktor pendorong dan penghambat belanja online. Penelitian dilakukan dengan pendekatan asosiatif kausal. Populasi penelitian ini adalah seluruh konsumen online, dengan jumlah sampel 204 konsumen online di kota Kendari yang dijangkau menggunakan quesioner yang dikirim via google form. Data dianalisis menggunakan aplikasi SPSS regresi linear berganda. Hasil penelitian menujukkan harapan kinerja, kemudahan penggunaan, pengaruh sosial, hedonis, dan cara pembayaran Cash On Delivery menjadi faktor pendorong belanja online yang sangat signifikan. Sementara dukungan lingkungan dan kemudahan pemesanan nampaknya belum memberikan dampak signifikan dalam mendorong intensitas belanja online. Disisi lain, resiko pengiriman produk dan resiko privasi telah menambah deretan faktor penghambat untuk berbelanja online. Sedangkan resiko kinerja produk dan resiko keamanan tidak lagi menjadi faktor penghambat belanja online yang signifikan.

show abstract

“…Bandung is a city in Indonesia (located between 107 • East Longitude and 6 • 55 South Latitude) that represents a city in a developing country [50]. Bandung is used as a synthetic or illustrative case study because it represents cities in Indonesia in online trade transactions [51] with the toughest transportation sustainability challenges among the 6 biggest cities in Indonesia, with a score of 3 out of 14 [44].…”

Section: Case Study Descriptionmentioning

confidence: 99%

E-Commerce Parcel Distribution in Urban Areas with Sustainable Performance Indicators

et al. 2022

View full text Add to dashboard Cite

E-commerce transactions have increased during the pandemic as people living in urban areas turn to buy goods online rather than offline. A two-echelon distribution system using parcel mobile hubs (PMHs) with small vehicles can increase operational cost efficiency and reduce greenhouse gas emissions. The originality of this study is in building and testing a conceptual framework for selecting PMH locations with three variables (parcel distribution, internet quota for e-commerce, and center of e-buyer) and two constraints (space availability and traffic flow). Spatial analysis is used as a method to test the conceptual framework with a parcel distribution database from Bandung. As a city whose profile represents urban areas in developing countries well, Bandung is chosen as a case study. The proportion of distance to variables and the outermost point of each cluster is less than 10%, which proves that the three variables are correlated. This study proves that the selection of PMH locations based on this conceptual framework results in better sustainable performance compared to existing conditions. Using PMHs combined with city freighters can reduce operational costs by 19.7% and prevent 3.4 tons of CO2 emissions per year with conventional motorcycles and 7.2 tons of CO2 emissions per year with electric motorcycles or scooters.

show abstract

Why do shoppers keep making online shopping trips? Learning from evidence in Bandung, Indonesia

Cited by 10 publications

References 31 publications

Investigating influencing factors for ICT adoption that changes travel behavior in response to the COVID-19 outbreak in Indonesia

Investigating influencing factors for ICT adoption that changes travel behavior in response to the COVID-19 outbreak in Indonesia

Investigasi Faktor Pendukung Dan Penghambat Belanja Online Di Kota Kendari

E-Commerce Parcel Distribution in Urban Areas with Sustainable Performance Indicators

Contact Info

Product

Resources

About