Success Factors in Mobile Commerce

Authors

Abstract

The term "mobile commerce," or "m-commerce," refers to business dealings carried out using mobile devices, like tablets or smartphones. This essay looks into the purpose of m-commerce, how it's defined, and what essential elements make an implementation successful. With the use of research from a range of sources, such as books, websites, and polls, we hope to offer thorough insights into the field of mobile commerce. Through a thorough investigation using a wide range of sources, such as books, websites, and surveys, this article explores the many definitions of m-commerce, its different purposes, and the critical components necessary for its effective implementation. Through the integration of many viewpoints, our objective is to offer a thorough and perceptive examination of the ever-changing field of mobile commerce, highlighting its importance and possible influence on contemporary company procedures. This essay begins a thorough investigation of the many meanings of mobile commerce, its diverse applications, and the fundamental elements necessary for its successful implementation. Our overall goal is to provide a comprehensive and perceptive analysis of the dynamic and constantly changing field of mobile commerce by incorporating a variety of points of view, thus shedding light on its importance and its implications for modern corporate operations.

References

Gebauer J, Shaw MJ. Success factors and impacts of mobile business applications: results from a mobile e-procurement study. International Journal of Electronic Commerce. 2004 Apr 1;8(3):19-41.

Yuan Y, Shaw MJ. Induction of fuzzy decision trees. Fuzzy Sets and systems. 1995 Jan 27;69(2):125-39.

Silhavy R, Silhavy P, Prokopova Z. Analysis and selection of a regression model for the use case points method using a stepwise approach. Journal of Systems and Software. 2017 Mar 1;125:1-4.

Nhung HL, Van Hai V, Silhavy R, Prokopova Z, Silhavy P. Parametric software effort estimation based on optimizing correction factors and multiple linear regression. IEEE Access. 2021 Dec 28;10:2963-86.

Van Hai V, Nhung HL, Prokopova Z, Silhavy R, Silhavy P. Toward improving the efficiency of software development effort estimation via clustering analysis. IEEE Access. 2022 Jun 22;10:83249-64.

Hoc HT, Silhavy R, Prokopova Z, Silhavy P. Comparing multiple linear regression, deep learning and multiple perceptron for functional points estimation. IEEE Access. 2022 Oct 19;10:112187-98.

Oplatkov Z, Senkerik R, Zelinka I, Jasek R. Comparison of two cost functions for evolutionary synthesis of control law for higher periodic chaotic logistic equation. In2011 Fifth Asia Modelling Symposium 2011 May 24 (pp. 26-31). IEEE.

Woods DD. Out-maneuvering adversaries in cyber defense: Foundations of resilient control architectures for moving target defense.

Mohana M, Subashini P. Emotion Recognition using Autoencoders: A Systematic Review. In2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS) 2023 Feb 9 (pp. 438-443). IEEE.

Esteves J, Pastor J. A critical success factor's relevance model for SAP implementation projects. InManaging Business with SAP: Planning Implementation and Evaluation 2005 (pp. 240-261). IGI Global.

Published

2024-03-15