Factors influencing individual in adopting eWallet

Anshari, Muhammad; Arine, Munirah Ajeerah; Nurhidayah, Norzaidah; Aziyah, Hidayatul; Salleh, Hasnol

doi:10.1057/s41264-020-00079-5

Cited by 43 publications

(11 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We integrate our systematic review throughout research indicating how consumer adoption of mobile shopping apps is articulated by: consumer use behavior as regards mobile payment services and apps (Anshari et al, 2021;Chopdar et al, 2018;Graf-Vlachy et al, 2018;Li, 2019;Nel & Boshoff, 2020;Saha et al, 2021;Touzani et al, 2018); consumer behaviors, attitudes, and intentions to adopt mobile shopping (Bailey et al, 2020;Chopdar & Sivakumar, 2019;Groß, 2018;Liébana-Cabanillas et al, 2020;Pandey & Chawla, 2019;Sarkar et al, 2020;Tueanrat et al, 2021); and consumer motivational factors in purchasing products and services by use of mobile shopping apps (Bhattacharya & Anand, 2019;Groß & Sohn, 2021;Liu et al, 2020;Seeger et al, 2019;Tyrväinen & Karjaluoto, 2019) -all of them configuring users' behavioral intention in relation to mobile commerce adoption (Research Question 1). Mobile social apps extend throughout consumer attitudes and behaviors by the widespread adoption of smartphones.…”

Section: Discussionmentioning

confidence: 99%

“…Consumer trust, perceived value, buying predisposition, and satisfaction are instrumental in articulating behaviors, attitudes, and intentions to adopt mobile shopping (Anshari et al, 2021;Dewi et al, 2020;Ghazali et al, 2018;Liu et al, 2020;Sharma et al, 2018;Tarhini et al, 2019), constituting motivational factors in purchasing products and services (Cho & Son, 2019;Graf-Vlachy et al, 2018;Loh et al, 2021;Roy et al, 2020;Seeger et al, 2019;Touzani et al, 2018). Consumer use behavior in relation to mobile payment services and apps (Bhattacharya & Anand, 2019;Kaur et al, 2020;Rodríguez-Torrico et al, 2020) is configured by consumer perceived value and motivation, online convenience, continuance intention, and impulse buying behavior Kim et al, 2021;Patel et al, 2020).…”

Section: Theoretical Overview Of the Main Conceptsmentioning

confidence: 99%

“…The swift increase in smartphone adoption and technological breakthroughs as regards mobile devices facilitate the payment for products and services (Anshari et al, 2021;Jung et al, 2020;Talwar et al, 2020a;Throne & Lăzăroiu, 2020;Verkijika, 2020), in addition to money transfer between individuals. Huge volumes of user-related big data gathered from mobile payment services assist advertisers and marketers in better grasping their target consumer behavior.…”

Section: Consumer Use Behavior In Relation To Mobile Payment Services and Appsmentioning

confidence: 99%

“…Affect and anticipated regret positively shape behavioral intentions in relation to mobile payments. (Anshari et al, 2021;Jung et al, 2020;Throne & Lăzăroiu, 2020;Verkijika, 2020) Mobile payment services are progressively adopted for enhancing the scale, output, and relative importance of mobile shopping apps. Convenience, satisfaction, and economic upsides positively influence attitudes, but experiential benefit brings about negative consequences.…”

Section: Annexmentioning

confidence: 99%

See 3 more Smart Citations

Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps

Andronie

Lăzăroiu

Ștefănescu

et al. 2021

View full text Add to dashboard Cite

Research background: With growing evidence of consumer adoption of mobile shopping apps, there is a pivotal need for comprehending Internet-enabled consumer devices in mobile shopping behavior. Mobile shopping platform features and user technological readiness configure consumers? expectations and demands as regards mobile retailing adoption, leading to acceptance of mobile shopping apps and payment services. Purpose of the article: In this research, prior findings have been cumulated indicating that mobile social apps extend throughout consumer attitudes and behaviors by the widespread adoption of smartphones. We contribute to the literature by showing that cutting-edge technological developments associated with customer behavior in relation to mobile commerce apps have resulted in the rise of data-driven systems. Consumer behavioral intention and adoption intention in relation to mobile shopping apps/websites are developed on perceived risk and trust consequences. Methods: Throughout February and March 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms comprising ?mobile shopping app?, ?mobile commerce platform?, ?mobile payment service?, ?Internet-enabled consumer device?, ?consumer technological adoption?, and ?mobile shopping behavior?. As research published between 2018 and 2021 was analyzed, only 330 sources met the suitability criteria. By removing questionable or indeterminate findings (insubstantial/inconsequent data), results unconfirmed by replication, too imprecise content, or having quite similar titles, 66, chiefly empirical, sources were selected. A systematic review of recently published literature was carried out on technological adoption of mobile commerce apps by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The Systematic Review Data Repository was used, a software program for the gathering, handling, and analysis of data for the systematic review. The quality of the academic articles was determined by harnessing the Mixed Method Appraisal Tool. Findings & value added: The consumer purchase decision?making process in mobile app-based marketing involves consumer engagement and willingness to adopt mobile commerce apps. Further advancements should clarify how technological-based consumer adoption of mobile shopping throughout social commerce can improve the payment for products and services.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Theoretical Overview Of the Main Conceptsmentioning

confidence: 99%

Section: Consumer Use Behavior In Relation To Mobile Payment Services and Appsmentioning

confidence: 99%

Section: Annexmentioning

confidence: 99%

See 2 more Smart Citations

Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps

Andronie

Lăzăroiu

Ștefănescu

et al. 2021

View full text Add to dashboard Cite

show abstract

“…As an important constituent part of public service, community service is generally supervised by the local government. However, the functional role of government has been transformed from administrator into supporter and supervisor with the continuous smart community construction [23].…”

Section: Methodology 31 Extraction Methods Of Influencing Factorsmentioning

confidence: 99%

Influencing Factors of Smart Community Service Quality: Evidence from China

Wang

Zhang

2021

Teh. vjesn.

View full text Add to dashboard Cite

Smart community is an important constituent part of a smart city and an extension and deepening of the concept of the latter. When it comes to smart community, the digitalization upgrading of traditional community service is conducted via information technology, in an effort to improve the service experience of community residents and elevate their happiness index. From social functions, smart community also has the advantages in facilitating the smart transformation of cities, promoting the harmonious society construction, and improving governmental efficiency and image, among others. However, various problems persist in the construction and development process of a smart community, such as mismatching service contents and low service quality. To explore the influencing factors of smart community service quality, a total of 16 influencing factors were extracted from 5 dimensions: service object, service subject, government role, management system, and service content. The relationships among the influencing factors were analyzed via the decision-making trial and evaluation laboratory (DEMATEL)-interpretative structural modeling (ISM) composite model, and a multi-order explanation model was constructed for these influencing factors. Result shows that the legal guarantee is the root cause influencing the smart community service quality. Development standard, basic service, and expected service are deep influencing factors that play mediating roles. Middle-layer factors such as service and operating systems have a direct bearing on quality perception. The surface-layer factors directly decide residential assessment on the smart community service quality. This study has also manifested the feasibility of the integrated DEMATEL-ISM method in analyzing the action mechanism of influencing factors for smart community service quality, providing a new analytical idea and modeling method for the smart community service quality.

show abstract