Study on the Effect of Consumer Experience on Food Delivery Apps | Chapter 9 | An Overview on Business, Management and Economics Research Vol. 7

 This chapter primarily focuses on the relationships between the determinants that affect consumers’ use of food delivery apps in Malaysia. Food service businesses now rely on technology as a major information resource and marketing tool. Using an extended flow theory model, we explored consumers’ experiences in purchasing delivery food through mobile apps. This study chose Grab Food as the popular food delivery app in Malaysia. This study collected data from an online survey and an offline survey conducted among postgraduate students at public universities. This study used a dichotomous scale to measure online purchasing behaviour and the research model of this study was tested using Partial Least Squares (PLS) with PLS Graph 3.0.

 

We distributed a self-administered questionnaire online and used structural equation modeling to test the hypotheses. We found that consumer experience (web and digital) had a significant effect on buying intention behavior. The empirical findings show that consumers’ experience has significant effect on buying behavior when using the application. Consumer experience in term of the usability, interactivity and aesthetic of the web positively affects food delivery apps buying intention behavior. Additionally, this study found that consumers had experiences buying from the website based on functionality rather than psychology and content factors. Further, this study finds that consumers had experience buying from the website are based on the functionality rather than psychology and content factors. Furthermore, digital experience demonstrates a stronger effect on buying behavior with more experience using the food delivery application. This study is one of the early studies to investigate the role of consumer experience. In addition, we find that in user’s first interaction with food delivery apps, web experience (usability, interactivity, aesthetic) and digital experience have larger impact on their buying intention behaviour.

Author(s) Details:

Nina Farisha,
University of Malaya, Malaysia.

Norhayati Mat Yusoff Mohd Yusof,
Universiti Teknologi MARA, Malaysia.

Irina Mohd Akhir,
Universiti Teknologi Mara (Pulau Pinang), Malaysia.

Suriati Osman,
Universiti Teknologi MARA, Malaysia.

Please see the link here: https://stm.bookpi.org/AOBMER-V7/article/view/13255

An Applied Study of the Impact of Augmented Reality on Museum Experience: A Focus on Museums in Namibia | Chapter 9 | Research Highlights in Science and Technology Vol. 8

 The study illustrates Augmented Reality usage for reimaging the place for viewing artifacts or experience in Namibia. A special focus act the National Museum of Namibia as a reference point and framework to implement the proposed improved reality solution. The purpose concerning this proposal search out demonstrate how Augmented Reality can embellish the museum knowledge by providing complimentary able to be seen with eyes information to the exhibits. This is to increase the place for viewing artifacts or visiting interest, especially with young people. An connected to the internet survey was done to understand the society's personal knowledge when visiting a museum the traditional hole or door in vessel order to understand what betterings they would like to see in museums for a better occurrence. 64 participants took part in the study. This survey hold up implementing a operating system-based resolution, focusing on the target consumers. Our results showed that Augmented Reality improves the museum experience, information, and learning, in addition to an emotional network of the museum visitor when utilizing the augmented phenomenon mobile use, compared to the traditional place for viewing artifacts or experience. From an growth perspective, this study emphasized the need to acknowledge implementing a related solution on additional mobile app platforms, as iOS was secondhand as the benchmark for this study.

Author(s) Details:

Tatenda Audrey Chanakira,
Department of Computing, Mathematics and Statistical Sciences, University of Namibia, Namibia.

Ari Happonen,
Software Engineering Department, LUT University, Finland.

Victoria Hasheela,
Department of Computing, Mathematics and Statistical Sciences, University of Namibia, Namibia.

Please see the link here: https://stm.bookpi.org/RHST-V8/article/view/11545