BUSINESS MATURITY WEB MODELS Various business maturity models

BUSINESS MATURITY WEB MODELS @ Various business maturity models have been proposed ranging from 3 to 6 stages (Irani, 2006) @ These models have a first informational stage and a last integration stage @ Interactivity and Transactions the between stages @ We will focus on a four-stage maturity model (Chandler & Emanuels, 2002; Lappas & Yannas, 2006) for evaluating websites: Informational stage Interaction stage Transaction stage Integration stage

BUSINESS MATURITY WEB MODELS Why Information Stage • Organization decides to go online • Provides important information to visitors. • The online presence format is similar to a brochure or a leaflet.

BUSINESS MATURITY WEB MODELS Why Interaction Stage • The organization wants feedback from the visitors • Incorporates various forms of interaction with the visitors • Email, • Newsletters, • Contact Forms, • Forums

BUSINESS MATURITY WEB MODELS Why Transaction Stage • The organization is mature enough for providing online sales and services

BUSINESS MATURITY WEB MODELS Why Integration Stage • Organization transforms its functionality at the organizational level • Web is used from members, employees, administration etc of the organization to carry out functional work. • Different levels of access for different group of people (voters, supporters, party members, party officials, employees, parliament members, party administrators etc), • Complete transactions, personalized and secure contacts are part of this stage.

BUSINESS MATURITY WEB MODELS Driving forces for upgrading to stages: • Increase in Site Visitors • Cost reduction, • Familiarization with the medium, • Organizational strategic plans

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Users center point of view: • Site Locating • Attractiveness • Navigatable Site • Interest Content • Revisiting

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Site Locating Indices: @ Organization name highly ranked (between the first 10) by using the popular Google search engine @ Friendly URL, easy to figure out, like www. company-brand-name. country-initials

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Attractiveness Indices:

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Attractiveness Indices: • Use of Dynamic media: • Introductory video before entering main page, video, speeches, music in the site, animating text, animating graphics, banners, and simulation, • Design sophistication Level: • Layout consistency, sparse use of italics, sparse use of bold, proper background, the use of no more than three main colors, and avoiding site color conflicts with party emblem’s colors.

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Navigability Indices:

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Navigability Indices: • Navigation problems can terminate user exploration of the site • Indices: Site maps, return at home page option, move forward/backward option, no dead links, tags and labeling hypertexts, labeling hypermedia, avoiding using hyperlinks in graphics that usually are missed by users, appropriate number of lines that allows minimum page scroll, search this site feature, searching examples, fast download, recognizable new sections, and proper names in the various menus.

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Interest Content Indices:

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Interest Content Indices: • Indices depend on Organizations’ Business Sector (Tourist Company, Banking Company, Sport Company, etc) • Deep Study on related companies on the web • Deep Study of the nature of the company

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Revisiting Indices :

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Informational Stage A Marketing Approach: Revisiting Indices : • Freshness of information • Indices: Frequency of news, updated news, news for different interest groups, regular newsletter in the site.

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Interaction Stage The organization incorporates various forms of interaction with citizens, (i. e. email, newsletters, forums etc. ) in real time (synchronous) or passively (asynchronous). The stage is subdivided into four sub-stages indicating the type of interaction: • asynchronous organization to customer (O 2 C), • asynchronous customer to organization (C 2 O), • real time organization to customer (O 2 C), and • real time customer to organization (C 2 O) interaction.

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Transaction Stage Evaluation depends on Organizations’ Business Sector Services (i. e Online Tickets for Tourist Company, Online-Banking for Banking Company, etc)

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Evaluating Integration Stage • Transformation of the party to operate functionally through the web : group-oriented access menus, different level of confidentiality access, inter-department functional operations, traditional administrative operations appearing on the web. • Personalized contact: Use of cookies to segment users and expose them to site versions that suit their personal style, allow users to personalize the content of the site, and offer subscription services for parts of the site;

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Case Study: Greek Prefecture Websites 155 Used Indices for the 4 Stages Proposed indices allow: 1) Analysis of how the web is used from organizations (e. g. finding how multimedia have been used from a sample of e-government websites) 2) Evaluation of organizations in the use of the web (e. g. finding which organizations are ranking higher in the use of multimedia in their websites) For the detailed index coding: Yannas, Lappas (2007), “Evaluating Local E-Government”, in Proceedings of the 2 nd IEEE International Conference on Digital Information Management (ICDIM 07), October 28 -31, Lyon, France

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Case Study: Greek Prefecture Websites

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Case Study: Greek Prefecture Websites

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Case Study: Greek Prefecture Websites

ADVANCED WEB SITE OPTIMIZATION: WEB SITE EVALUATION Case Study: Greek Prefecture Websites For the detailed index coding: Yannas, Lappas (2007), “Evaluating Local E-Government”, in Proceedings of the 2 nd IEEE International Conference on Digital Information Management (ICDIM 07), October 28 -31, Lyon, France Prodromos Yannas and Georgios Lappas (2010). “Evaluating Local E-Government: A Comparative Study of Greek Prefecture Websites”, in Safeeullah Soomro (Ed. ), E-learning experiences and future, Available from: http: //sciyo. com/articles/show/title/evaluating-local-e-government-a-comparative-study-of-greek-prefecturewebsites Method used in M. Bochicchio, A. Longo, A. Zollino, G. Fiandanese (2012). “Primo rapporto annuale sui siti istituzionali delle Regioni Analisi comparativa delle caratteristiche e della qualità secondo le "Linee guida per i siti istituzionali della PA. Smarter, Faster, Better E-Government", University del Salento, INFORAV – Istituto per lo sviluppo e la gestione avanzata dell’informazione, Roma, ITALY. http: //sibaese. unisalento. it/index. php/rapporto_pa 2010/article/download/12188/10929 M. Bochicchio, A. Longo, A. Zollino G. Fiandanese (2010). Primo Rapporto Annuale sui siti Istituzionali delle Regioni, Osservatorio sulla qualità dei portali della PA - Dipartimento di Ingegneria dell’Innovazione INFORAV – Istituto per lo sviluppo e la gestione avanzata dell’informazione, Roma, ITALY, Nov. 2010. http: //www. inforav. it/cms/documenti/Primo_Rapporto_sui_siti_istituzionali_delle_Regioni. pdf Eyas El-Qawasmeh (2011). “Assessment of the Jordanian E-Government: An Empirical Study”, Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS), 2 (4): 594 -600.

G. Lappas, A. Triantafillidou, P. Yannas, , & A. Kleftodimos (2017). An Evaluation Scheme for Local e. Government and Local e-Democracy: The Case of Greek Municipalities, International Journal of Electronic Governance, Vol. 9, No 3/4, pp 300 -342, http: //www. inderscience. com/info/inarticle. php? artid=88223 G. Lappas, G. , P. Yannas, A. Triantafillidou, & A. Kleftodimos (2016). Do Greek Municipal Websites Meet Citizens’ Perceptions on Issue Importance? , Jurnal Teknologi, Vol. 78, No 12 -3, E-ISSN 2180 -3722, pp 39 -49 http: //www. jurnalteknologi. utm. my/index. php/jurnalteknologi/article/view/10021 Georgios Lappas, Prodromos Yannas, Amalia Triantafillidou, Alexandros Kleftodimos, Olga Vasileiadou (2016) Modeling a citizen-centric evaluation framework for local e-government and e-democracy , International journal of Education and Information Technologies, Volume 10, 2016, pp. 120 -130, ISSN: 2074 -1316. http: //www. naun. org/main/NAUN/educationinformation/2016/a 322008 -171. pdf G. Lappas, A. Triantafillidou, P. Yannas, A. Kleftodimos (2015) Local E-Government and E-Democracy: An Evaluation of Greek Municipalities, , in S. K. Katsikas and A. B. Sideridis (eds), , E-Democracy – Citizen Rights in the World of the New Computing Paradigms, Volume 570 of the series Communications in Computer and Information Science, Springer. 6 th International Conference on e-Democracy Athens, Dec 10 -11, 2015, pp 134 -150