TY - GEN
T1 - The effect of mobile app design features on student buying behavior for online food ordering and delivery
AU - Prabhu, Narayan
AU - Soodan, Vishal
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - The smartphone penetration in India is growing rapidly and online buying through mobile apps for products and services is growing at a faster pace. Restaurants in brick and mortar format in order to increase their customer base are trying to get their feet wet in an online mode. Though India has attracted food tech companies due to majority of population being millennial consumers, not many studies have focused on consumer behavior towards online food delivery and ordering through mobile apps especially pertaining to students’ market. Hence this study in an initiative to study the effect of mobile app design features on decision making stages of consumers pertaining for online food ordering and delivery sector. The study adopted SEM analysis through Smart PLS-3 with sample being students studying in Manipal Academy of Higher Education campus from across the globe. The result of study reveals that design features of mobile apps has huge impact on the students’ behavior design, with features, namely, ‘‘Security towards the retention of personal information of students’’, ‘‘Secure and accessible payment gateways”, “Option of tracking real time order status of food and beverages ordered”, ‘‘Access to customer service to respond to customers query without any hindrances”, ‘‘Pop up of trending information of food and beverages”, “Easy navigation of app features”, ‘‘Search function to quickly access the information”, and ‘‘Delivery services which are flexible”. This study could be used as a base by organizations to enhance the design features of mobile apps in food ordering sector for engaging customers and enhancing their business.
AB - The smartphone penetration in India is growing rapidly and online buying through mobile apps for products and services is growing at a faster pace. Restaurants in brick and mortar format in order to increase their customer base are trying to get their feet wet in an online mode. Though India has attracted food tech companies due to majority of population being millennial consumers, not many studies have focused on consumer behavior towards online food delivery and ordering through mobile apps especially pertaining to students’ market. Hence this study in an initiative to study the effect of mobile app design features on decision making stages of consumers pertaining for online food ordering and delivery sector. The study adopted SEM analysis through Smart PLS-3 with sample being students studying in Manipal Academy of Higher Education campus from across the globe. The result of study reveals that design features of mobile apps has huge impact on the students’ behavior design, with features, namely, ‘‘Security towards the retention of personal information of students’’, ‘‘Secure and accessible payment gateways”, “Option of tracking real time order status of food and beverages ordered”, ‘‘Access to customer service to respond to customers query without any hindrances”, ‘‘Pop up of trending information of food and beverages”, “Easy navigation of app features”, ‘‘Search function to quickly access the information”, and ‘‘Delivery services which are flexible”. This study could be used as a base by organizations to enhance the design features of mobile apps in food ordering sector for engaging customers and enhancing their business.
UR - https://www.scopus.com/pages/publications/85092179104
UR - https://www.scopus.com/pages/publications/85092179104#tab=citedBy
U2 - 10.1007/978-3-030-60152-2_45
DO - 10.1007/978-3-030-60152-2_45
M3 - Conference contribution
AN - SCOPUS:85092179104
SN - 9783030601515
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 614
EP - 623
BT - HCI International 2020 – Late Breaking Papers
A2 - Stephanidis, Constantine
A2 - Salvendy, Gavriel
A2 - Wei, June
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
A2 - Meiselwitz, Gabriele
A2 - Nah, Fiona Fui-Hoon
A2 - Siau, Keng
PB - Springer Science and Business Media Deutschland GmbH
T2 - 22nd International Conference on Human Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -
