Abstract:Nowadays, online retailers are offering a variety of delivery options consisting of varying combinations of delivery attributes. This study investigates how consumers value these delivery attributes (e.g., delivery speed, time slot, daytime/evening delivery, delivery date, and delivery fee) when selecting a delivery option for their online purchases. Mental accounting theory is used to frame the research and to suggest how mental accounts for money, time, and convenience influence consumer preferences for onli… Show more
Considering the temporary closure of many food-away-from-home establishments, consumer expenditure on groceries during the COVID-19 pandemic has increased. While grocery shopping is an essential activity, not much is known about the dynamic relationship of the COVID-19 pandemic to the behavior of grocery shoppers. With an objective to inform variability in the behavior of grocery shoppers under various scenarios of the COVID-19 pandemic, we conducted an online framed choice experiment to elicit preferences for purchasing methods, time windows, minimum order requirements, and fees. The manipulating factor relates to the trend in the COVID-19 pandemic, where we consider three scenarios: an increasing, decreasing, or constant number of new cases in the past two-week period. Using 32,400 choice decisions from a representative sample of 900 grocery shoppers in the United States, we conclude that the trend in the COVID-19 pandemic causes significant differences in grocery shopping preferences. In situations where COVID-19 is spreading at an increasing rate, consumers are generally less willing to shop inside the grocery store. When COVID-19 is spreading at a decreasing rate, the relative importance of the purchasing method attribute is lower in its entirety. We use our findings to inform recommendations for practitioners and policymakers.
Considering the temporary closure of many food-away-from-home establishments, consumer expenditure on groceries during the COVID-19 pandemic has increased. While grocery shopping is an essential activity, not much is known about the dynamic relationship of the COVID-19 pandemic to the behavior of grocery shoppers. With an objective to inform variability in the behavior of grocery shoppers under various scenarios of the COVID-19 pandemic, we conducted an online framed choice experiment to elicit preferences for purchasing methods, time windows, minimum order requirements, and fees. The manipulating factor relates to the trend in the COVID-19 pandemic, where we consider three scenarios: an increasing, decreasing, or constant number of new cases in the past two-week period. Using 32,400 choice decisions from a representative sample of 900 grocery shoppers in the United States, we conclude that the trend in the COVID-19 pandemic causes significant differences in grocery shopping preferences. In situations where COVID-19 is spreading at an increasing rate, consumers are generally less willing to shop inside the grocery store. When COVID-19 is spreading at a decreasing rate, the relative importance of the purchasing method attribute is lower in its entirety. We use our findings to inform recommendations for practitioners and policymakers.
“… Nguyen et al (2019) used cluster analysis to identify three consumer types that showed preferences for online purchases. These segments were classified as price-oriented, time-and-convenience-oriented, and value-for-money-oriented.…”
Section: Introduction and Background Contextmentioning
Using publicly available microdata sets, we show how estimates for online delivery purchases can be generated for small geographic areas defined in our study as micro analysis zones (MAZ) and how these estimates vary across the MAZs that featured in our study. With a focus on Miami-Dade County, we use both the national household travel survey (NHTS) data and synthetic data obtained from Southeast Florida Regional Planning Model (SERPM) to generate demand estimates of online delivery purchases for more than 5300 distinct geographic units in Miami-Dade County. We assess the quality of the estimates using measures of predictive accuracy and by comparing the cumulative values obtained with the population estimates generated from the NHTS survey data for Miami-Dade County. Our approach fills a void in the area of purchases of online delivery items where rich observable data are typically unavailable and it also provides the added potential benefit of being easily replicated nationwide given the emphasis on the use of publicly available data.
“…Sistem informasi akuntasi bisnis di e-commerce tidak selalu diterima oleh pe rilaku manusia yang menggunakan sistem informasi akuntansi tersebut (Dagiliene & Šutiene, 2019;Hardanti, Subekti, & Mardia ti, 2014;Hariyati, Tjahjadi, & Soewarno, 2019). Perilaku seseorang menggunakan tek nologi mampu dijelaskan oleh salah satu teori psikologi yaitu teori utama penerimaan dan penggunaan teknologi (Mhina, Johar, & Alkawaz, 2019;Nguyen, Leeuw, Dullaert, & Foubert, 2019). Teori ini menjelaskan pene rimaan penggunaan teknologi pada diri se seorang oleh variabel ekspektasi usaha, ek spektasi kinerja, pengaruh/dorongan sosial, dan kondisi/keadaan fasilitas yang akan mempengaruhi intensi keperilakuan sese orang dan diaktualisasikan kepada perilaku penggunaan suatu teknologi tertentu (Ven katesh, Thong, & Xu, 2016).…”
Tujuan penelitian ini adalah untuk menelusuri perilaku sese orang dalam menggunakan pencatatan akuntansi keuangan berbasis teknologi informasi di e-commerce. Analisis data yang digunakan untuk menyelesaikan penelitian ini adalah Structural Equation Modeling Partial Least Square (SEMPLS) dengan total sampel adalah 100 responden penjual dan pembeli di beberapa e-commerce. Penelitian ini menemu kan hasil bahwa e-commerce diminati oleh pengguna. Sistem ini memiliki sejumlah kemudahan di mata pengguna. Oleh karena itu, perusahaan e-commerce diharapkan mendapatkan masukan mengenai kecenderung an perilaku pelanggan dalam menggunakan pencatatan akuntansi keuangan berbasis teknologi informasi.
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