M-commerce: The state of the art, challenges, and cloud-based solutions

Mohammadpour, Saeid; Tafte, Farnaz

doi:10.1109/ikt.2016.7777789

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…The study of m-commerce is not only focusing on factors towards m-commerce usage but also drilling down to relevant factors such as user experience and design [3]. Some research such as research by Mohammadpourand Taft Attempts to mitigate the weakness of m-commerce which is to ensemble the cloud-based solution into the layer of m-commerce model architecture [4]. Although m-commerce plays a vital role in the present, the traditional marketing mix such as advertising is needed with a new strategy.…”

Section: Mobile Commercementioning

confidence: 99%

A Study of Influence Factors for Advertising on Messaging Applications Towards Mobile Buyer's Decision Making

Paireekreng

Osathanukroh

Supasak

2019

IJIIS Int. J. Informatics Inf. Syst.

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The advancement of information technology leads to development of a new business paradigm which is focused on innovative technology. M-commerce seems to be a crucial tool to develop a country rapidly. The combination of messaging application features and business model can build start-up business driven by these technologies. However, the appropriate accessing target group of each business issues to be a main issue in the messaging application usage. This research aims to investigate the influence factors related to advertising on messaging applications. The Mixed method; quantitative and qualitative methods were implemented to investigate such factors. The findings are that three main factors, demographic factors, m-commerce factors, and behavioral factors, affected the buying decision making. Whereas, the demographic factor such as marital status showed no differences in this study. The products such as information technology accessories, beauty products and fashion goods are an important business area for customers focused on m-commerce. In addition, it was found that education had a significant effect towards advertising on messaging applications. Furthermore, the derived influence factors and criteria for advertising on messaging applications were confirmed with online merchants in the focused group method. The main advantage of messaging applications is the ability to interact with merchants and get quick responses. The results can be a guidance for start-up businesses for sustainable development.

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Section: Mobile Commercementioning

confidence: 99%

A Study of Influence Factors for Advertising on Messaging Applications Towards Mobile Buyer's Decision Making

Paireekreng

Osathanukroh

Supasak

2019

IJIIS Int. J. Informatics Inf. Syst.

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“…These applications such as video processing, object recognition, face recognition, augmented reality, games and natural language processing applications need enormous power and memory. Also, these applications are used in multiple domains as suggested by Zou et al (2015), Bahrami (2015), Mohammadpour and Tafte (2016), Lo'ai et al (2016) and Zheng et al (2016). From the other hand, these applications are not fulfilled by the resource constrained mobile devices due to the limited battery life and processing power.…”

Section: Introductionmentioning

confidence: 99%

A new energy-preserving cloud offloading algorithm for smart mobile devices

Said

Salem

Sayed

2019

IJHI

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The advent of mobile devices becomes the way for various technological developments in mobile communication and information technology. However, mobile users expect to access computational intensive applications through resource constrained mobile devices. Consequently the growing demands for boosting the computations, storage and memory resources became essential for mobile devices. A new trend to incorporate mobile devices and cloud resources with the existence of the network connectivity is named as mobile cloud computing (MCC). MCC is the greatest solution to increase the application processing capabilities on mobile devices by migrating the application to the cloud servers with on demand and unlimited resources. This paper proposes a new energy-preserving cloud offloading algorithm. The proposed algorithm estimates the application computational time and uses multiple weighted parameters to give accurate offloading decisions. Simulation results on various applications clarify that the proposed algorithm is capable of estimating an application's computation time with high correlations compared with the real execution time. This improves the offloading decision which actually preserves the energy and reduces the execution time of mobile applications.

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