Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach

Rezaei, Sajad; Shahijan, Milad Kalantari; Amin, Muslim; Ismail, Wan Khairuzzaman Wan

doi:10.1080/15332861.2016.1256749

Cited by 63 publications

(38 citation statements)

References 106 publications

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“…In this study, dining attitude refers to the customers' overall reaction about performing a specific behavior (e.g., in-site/off-site restaurant food intake) in terms of particular device and technology usage (Alagoz & Hekimoglu, 2012). When customers hold positive attitudes to MFDAs, they are more likely to take services through MFDAs (Alagoz & Hekimoglu, 2012;Cho et al, 2019;Liang & Lim, 2011;Rezaei et al, 2016;Yeo et al, 2017). Moreover, behavior criterion relies mainly on customers' observable actions, and customers' attitude can influence their behavior to respond to a stimulant (Ajzen, 1991).…”

Section: Dinning Attitude Behavioral Intention and Continuance Behaviormentioning

confidence: 99%

Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior

Amin

Arefin

Shamsul

et al. 2021

Journal of Food Products Marketing

106

129

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The purpose of this study was to identify the factors influencing consumers' behavioral and continuance intention to use mobile food delivery applications (MFDAs) during COVID-19 pandemic. Based on the theory of Planned Behavior, we examined the impact of social isolation, food safety, delivery hygiene, subjective norms, dining attitudes, and behavioral control on behavioral and continuous intention to use MFDAs. Data were collected from 432 users and analyzed using Structured Equation Modeling. The results showed that delivery hygiene, subjective norms, attitudes, and behavioral control were related to both behavioral and continuance intention to use MFDAs, whereas perceived food safety was related to behavioral intention and social isolation was related to continuance intention. Moreover, behavioral intention mediated the impact of perceived food safety, delivery hygiene, attitudes, and behavioral control on continuance intention. This study incorporated situational factors into theory of Planned Behavior, which might guide the practitioners to use MFDAs during COVID-19.

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Section: Dinning Attitude Behavioral Intention and Continuance Behaviormentioning

confidence: 99%

Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior

Amin

Arefin

Shamsul

et al. 2021

Journal of Food Products Marketing

106

129

View full text Add to dashboard Cite

show abstract

“…The ability of the internet for searching information and comparing products encourages buyers to be smarter, thirstier (for information), have a more varied option, and prefer to get something faster, in terms of buying food. Now, buyers tend to prefer e-commerce platforms as a way to shop because they can comfortably shop in their homes unbound by time [1], [2]. The growth of internet usage from year to year also encourages penetration of e-commerce that continues to penetrate various sectors.…”

Section: Introductionmentioning

confidence: 99%

Factors that Influence the Attitude and Behavioral Intention of Indonesian Users toward Online Food Delivery Service by the Go-Food Application

Prabowo¹,

Nugroho²

2019

Proceedings of the 12th International Conference on Business and Management Research (ICBMR 2018)

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The internet as one of the medias that grows fast in Indonesia makes the people of Indonesia have a tendency to do various activities through internet facilities and other supporting applications. Some Indonesians prefer to use an online shop because it provides better convenience motivation and economic value than traditional shopping. This also occurs in the food and beverage sector, which encourages the emergence of online food delivery services or OFD services. This study aims to examine the influence of convenience motivation and post-usage usefulness as well as several other factors toward Attitudes by Online Food Delivery service (AOFDs) and Behavioral Intention by Online Food Delivery service (BIOFDs), with the case study of mobile application service Go-Food's users. The sample of this study is the Go-Food service users in various regions in Indonesia, which is supported by the Go-Food service area. The result of this study shows that the attitude and behavioral intention toward the Go-Food application (app) is determined by the usefulness perception, while its usefulness is influenced by external factors such as hedonic motivations and time-saving orientation.

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“…The rapid growth of the internet had favored e-commerce activities at large (Kauffman & Walden, 2001;Burt & Sparks, 2003;Bressolles et al, 2014;Nilashi et al, 2015;Rezaei et al, 2016;Ullal et al, 2020). As of January 2020, India has 688 million active internet users, with 70% being men and 30% women (Sanika Diwanji, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Antecedents of behavioral intention to use online food delivery services: an empirical investigation

Vinish¹,

Pinto²,

Hawaldar

et al. 2021

Innovative Marketing

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The online food delivery market in India perseveres to grow at a sustained pace. The business has unique dynamics and challenges with the spike in orders during weekends, meeting delivery schedules during peak demand, offering deep discounts to address wavering customer loyalty, reducing cash burns, and managing food quality inconsistency. In contrast, the fast-paced life and the rise of millennials in the workforce is likely to assure a promising future for the food aggregators. The above backdrop has led the researchers to pursue this study. An empirical study was carried out to explore the consumption occasion and the antecedents of online food ordering in the select cities in Karnataka, India. The data was collected from 385 respondents through telephonic and mail survey using a structured questionnaire. The responses were analyzed using exploratory factor analysis and multiple regression. The result of the study indicated a positive association between the constructs ‘buying motives’, ‘aggregator attractiveness’, and customer satisfaction. The variation in customers` satisfaction is largely attributable to the convenience of order placing, food quality, availability of food and restaurant reviews, offers and discounts, faster home delivery, and the wide choice of restaurants listed on the aggregator’s website. Additionally, the aggregator attractiveness showed a higher impact on customer satisfaction as compared to buying motives.

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Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach

Cited by 63 publications

References 106 publications

Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior

Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior

Factors that Influence the Attitude and Behavioral Intention of Indonesian Users toward Online Food Delivery Service by the Go-Food Application

Antecedents of behavioral intention to use online food delivery services: an empirical investigation

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