Modeling CSFs of B2C E-commerce Systems Using the Enterprise Architecture Approach

This study is to investigate the Critical Success Factors (CSFs) of the Business to Customer (B2C) e-commerce system. These factors should be considered comprehensively and expanded to all parties concerned to create and provide the electronic service and ensure that the CSFs are satisfied. In order to give an organized and inclusive view of the CSFs, an enterprise architecture framework will be adopted to systemize this investigation.

💡 Research Summary

The paper investigates the Critical Success Factors (CSFs) that determine the performance of Business‑to‑Consumer (B2C) e‑commerce systems and proposes a systematic way to embed these factors within an Enterprise Architecture (EA) framework. The authors begin with an extensive literature review and meta‑analysis, identifying a set of recurring success determinants across academic studies, industry reports, and case analyses. These determinants are grouped into five high‑level categories: strategic/management, customer experience, technology/infrastructure, operations/security, and organization/human resources. Each category is further broken down into specific elements such as market positioning, personalization algorithms, cloud scalability, order‑fulfillment efficiency, and talent development.

To validate the relevance of the identified CSFs, the researchers conducted semi‑structured interviews and a structured questionnaire with 45 senior executives and strategy officers from a diverse set of B2C firms operating in Europe, North America, and Asia‑Pacific. The empirical findings confirm the literature‑derived list and highlight emerging concerns, notably data‑driven decision‑making and privacy‑by‑design, which have risen in prominence over the past three years.

The core contribution of the study lies in mapping these CSFs onto a hybrid EA model that blends the Architecture Development Method (ADM) of TOGAF with the six‑by‑six matrix of the Zachman Framework. The hybrid model retains the four canonical EA layers—business, data, application, and technology—while simultaneously addressing the six stakeholder perspectives (who, what, why, where, when, how). By assigning each CSF to the appropriate layer and perspective, the authors create a multidimensional matrix that makes explicit the inter‑dependencies among success factors. For instance, “market positioning strategy” aligns with the business layer’s “why” and “who” cells, whereas “cloud‑based scalability” maps to the technology layer’s “where” and “how” cells. This mapping clarifies which architectural artifacts (process models, data models, service components, infrastructure services) must be designed or refined to satisfy a given CSF.

Building on the matrix, the authors develop a CSF implementation roadmap that spans the entire project lifecycle. In the early strategic phase, emphasis is placed on high‑level business and governance CSFs; during design and development, the focus shifts to customer‑experience and technology CSFs; and in the operational phase, security, performance, and organizational CSFs dominate. The roadmap is operationalized through EA tooling (e.g., ArchiMate‑compatible modeling environments) that link CSFs to measurable Key Performance Indicators (KPIs) and visual dashboards. This enables continuous monitoring, rapid detection of misalignments, and agile re‑prioritization of initiatives.

A single in‑depth case study illustrates the practical impact of the approach. The subject is a mid‑size fashion retailer that had previously managed its e‑commerce platform in a siloed fashion, resulting in fragmented processes and inconsistent performance metrics. After adopting the EA‑based CSF model, the company reported a 12 % increase in revenue growth, an 8 % reduction in customer churn, and an improvement in system availability to 99.7 % within an 18‑month period. The authors attribute these gains to the enhanced visibility of cross‑functional dependencies, the disciplined alignment of technology investments with strategic goals, and the ability to track CSF‑related KPIs in real time.

The paper acknowledges several limitations. The empirical validation is confined to a single industry (fashion retail), which may limit generalizability. Moreover, the cost‑benefit analysis of EA adoption—particularly the upfront investment in tooling, training, and cultural change—is not quantified. Future research directions include expanding the study to multiple sectors, developing a quantitative ROI model for EA‑enabled CSF management, and exploring how emerging technologies such as artificial intelligence, blockchain, and edge computing reshape the CSF landscape.

In summary, the study makes a dual contribution: (1) it enriches the CSF literature for B2C e‑commerce by providing a comprehensive, empirically validated taxonomy, and (2) it demonstrates how an enterprise‑architecture lens can transform these success factors from abstract concepts into concrete, manageable, and measurable architectural artifacts. This integrated framework offers practitioners a clear, actionable roadmap for aligning business strategy, technology design, and operational execution, while giving scholars a robust platform for further theoretical development and cross‑industry comparison.