Search Engine Optimization Meets e-Business - A Theory-based Evaluation: Findability and Usability as Key Success Factors

2012 ◽  
Keyword(s):  
Search Engine ◽  
Success Factors ◽  
Key Success Factors ◽  
Search Engine Optimization

scholarly journals REENGINEERING WEBSITE UNIVERSITAS MA CHUNG MENGGUNAKAN FRAMEWORK “THE PERIODIC TABLE OF SEO SUCCESS FACTORS”

2018 ◽  
Vol 1 (1) ◽  
pp. 10-20
Author(s):  
Arif M. Alhana Anul Habib ◽  
Yudhi Kurniawan
Keyword(s):  
Search Engine ◽  
Periodic Table ◽  
Success Factors ◽  
Search Engine Optimization

Dalam upaya memperluas koneksi dan kemitraan dengan berbagai instansi luar, pihak Universitasmembangun sebuah website resmi yang digunakan sebagai media informasi internal kepada pihakeksternal. Namun dalam pembuatan sebuah website tidak hanya melihat dari segi tampilan daninformasinya saja namun keramahan dengan mesin pencari yang kini menjadi salah satu sumberkunjungan terbesar perlu diperhatikan. Search Engine Optimization (SEO) adalah usaha-usaha dalammengoptimasi website terhadap mesin pencari agar mendapatkan peringkat yang lebih baik SERP. Mesinpencari menggunakan algoritma tertentu dalam mengurutkan hasil pencarian yang relevan dengan katakunci. Dengan mempraktekkan SEO itu berarti menyesuaikan website supaya bersahabat denganalgoritma tersebut sekaligus memudahkan mesin pencari dalam merayapi, mengindeks, dan memahamikonten website. Oleh karena itu, perancangan kembali official website Ma Chung dengan menerapkanfaktor-faktor penentu keberhasilan di hasil pencarian dibutuhkan sebagai upaya mengoptimalkan kinerjawebsite terhadap mesin pencari. Reengineering official website Ma Chung ini menggunakan framework“The Periodic Table of SEO Success Factors”.

Key Success Factors of Organizational Success: A Study of MULA Car International

2020 ◽  
Vol 3 (2) ◽  
pp. 46-56
Author(s):  
Muhammad Ashraff ◽  
Daisy Mui Hung Kee ◽  
Roshini A/P Subramaniam ◽  
Nur Hazimah ◽  
Nur Aina Syafiqah
Keyword(s):  
Success Factors ◽  
Organizational Success ◽  
Key Success Factors

Search Engine Optimization Using Local Language

2018 ◽  
Vol 6 (7) ◽  
pp. 1238-1239
Author(s):  
Hemang Desai ◽  
Birajkumar V. Patel
Keyword(s):  
Search Engine ◽  
Local Language ◽  
Search Engine Optimization

scholarly journals Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 259
Author(s):  
Ioannis Drivas ◽  
Dimitrios Kouis ◽  
Daphne Kyriaki-Manessi ◽  
Georgios Giannakopoulos
Keyword(s):  
Search Engine ◽  
Common Knowledge ◽  
Organizational Structures ◽  
Content Management ◽  
Data Driven ◽  
Management Systems ◽  
Search Engine Optimization ◽  
Optimization Methodology ◽  
Content Management Systems ◽  
The Web

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.

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