Sunday 22 November 2020

The Development of Multiperspective of Business to Business E-commerce Maturity Application| Chapter 9 | Insights into Economics and Management Vol. 3

 

The majority of businesses worldwide are small and medium-sized enterprises (SMEs) and play an important role in the economy. It is recognised that small and medium-sized enterprises are the key players in attracting domestic investment and stimulating economic expansion. They are important for economic growth and creativity, for reducing poverty, for local jobs and development and for social stability. In the current digitally linked trading economy, however, SMEs face several new challenges that are changing the way business-to-business (B2B) trading operates for SMEs. The level of B2B e-commerce implementation and usage that can promote the B2B trading process is among these challenges. The introduction of B2B e-commerce, however is classified as a framework with a high degree of complexity, because the various relationships and interactions between trading partners are complex. The relationships are not only complicated by their volume and process variability, but also by the complexity of the dependencies. ereadiness level is needed. This paper describes the development of B2B e-Commerce Maturity Application (BeMA) which involves several distinct sequential exploratory stages. In order to ensure its validity and practicality, the application was evaluated by 35 selected SMEs. Based on the evaluation results, all respondents were agreed on the model usefulness and its practicality. The research believes that the model will provide practical guidance for SMEs to clearly define appropriate method of measuring e-readiness and the recommendation approaches to improve their B2B ecommerce maturity level. The research proved that the theory and findings have thus supported the B2B e-commerce maturity model. With the adoption of the proposed B2B e-commerce maturity model, SME is hoped to be better prepared to manage B2B business transaction in a more efficient way.



Author (s) Details

Norjansalika Janom
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia.


Mohd Shanudin Zakaria
National University of Malaysia, Selangor, Malaysia.


Noor Habibah Arshad
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia.


Siti Salwa Salleh
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia.



Syaripah Ruzaini Syed Aris
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia.




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