Electronic Business: Concepts, Methodologies, Tools, and Applications (4-Volumes) P28 pdf

204 The Evolving Web Presence of SMEs *LYHQ WKH YDULHW\ RI GH¿QLWLRQV DVVRFLDWHG with organisational change, it is important to establish a clear indication of what is meant by change and how these concepts might be applied to the context of change in Web sites. Levy and Merry (1986) suggest that organisational change in organisations can be viewed in three dimensions: the process of change, the content of the change, and the reasons for change (Figure 1). Each of these dimensions provides a particular OHQVIRUYLHZLQJFKDQJH7KH¿UVWGLPHQVLRQLV concerned with how change occurs, for example continuous (incremental) versus episodic (dis- continuous) changes in a sequence over time (Weick & Quinn, 1999). The second dimension focuses on what the changes are, examining the empirically observable differences in the form, quality or state of an entity over time (Van de Ven & Poole, 1995). The third dimension examines why change occurs, focusing on the forces and sources for change (Pfeffer, 1982). These dimen- sions were utilized to create the framework and pose the research questions, as follows: • How do SMEs change their Web sites (pro- cess of change)? • What kind of changes do SMEs make to their Web sites (content of change)? • Why do SMEs change their Web sites (driv - ers of change)? These dimensions form the core of the frame- work, with the categories of each being examined next. Process of Change Web site evolution can follow a number of dif- ferent patterns over time. For example, Web sites may disappear, they may remain stagnant for long periods of time, their content may be regularly updated, they may be enhanced with additional features or functionality, and they sometimes undergo sudden wholesale redesign or redevelop- ment (Alonso Mendo & Fitzgerald, 2005b). The framework described here adopts a comprehensive Content updates: represents common maintenance of Web content without changes in the functionality, look and feel or features of the Web site. For example, addition of news about the company, changes in prices etc. Dormant sites: corresponds to cases where there were no apparent changes or updates during the monitoring period. Incremental changes: characterizes upgrades that occur with the normal maintenance of a Web site that does not entail a major redesign (Ryan et al, 2003). For example, adding a privacy policy page, adding a sitemap or deleting some pages. Major redesigns: denotes sudden and major shifts in a Web site that involve more than mere alterations in look and feel. They usually imply changes to the number and organization of pages and functionality of the site (Ryan et al, 2003). Dead sites (click off): represents Web sites that have disappeared and no longer exist at the end of the monitoring period. Their domain was found to be unavailable or their URL produced an error. Bought sites: companies that were found to have been bought during the monitoring and now redirect to a different company. Under construction: displayed at the end of the period an under-construction page, while the Web site was being redesigned. Table 1. Evolution strategies 205 The Evolving Web Presence of SMEs set of categories as to how Web sites evolve (or evolution strategies) (see Table 1). Content of Change Web site evolution can also be characterized by considering the observable differences that Web sites experience over time. Two evaluation approaches were adopted in this study with this aim. Firstly, an automated evaluation approach that deploys software tools to analyse Web sites and collect information on key quantitative char- acteristics of a large sample of Web sites (e.g., Ivory & Hearst, 2002). Secondly, a product-based approach that measures the presence, absence, or quantity of certain features or components in a Web site. Such content analysis intends to measure the development of a Web site focusing Navigability (NAV): relates to features that facilitate simple, intuitive and consistent navigation on the site DQGHQDEOHWR¿QGVSHFL¿FLQIRUPDWLRQDQGSURGXFWV)RUH[DPSOHPHQXVVLWHPDSSDWKIROORZHGJORVVDULHV and in-site search (e.g. Barnes & Vidgen, 2001). Accessibility (ACC): refers to features that make the site and its content more accessible in different browsers, connection speeds, for users with disabilities and from various locations. For example text only versions, links to plug-ins required and search tags. (e.g. Loiacono and McCoy, 2004). Design & aesthetics (DA): these features measure that the design of the site is aesthetically pleasing and that its ‘look and feel’ is appropriate for the content and purpose of the site. For example, correct space allocation, choice of colours, readability, scannability and consistence of layout. (e.g. Barnes and Vidgen, 2001). Design & use of multimedia (DUM): this category points to the appropriate use of multimedia content, such as graphics, images, audio and animations (e.g. Barnes and Vidgen, 2001). &RQWHQWIRU,GHQWL¿FDWLRQ,PDJH&,, comprises the content to identify the company and promote its H[SHUWLVHDQGFRQWULEXWLRQWRVRFLHW\DQGWKHHQYLURQPHQW)RUH[DPSOHFRPSDQ\SUR¿OHKLVWRU\PLVVLRQDQG values, customer’s testimonials, press releases etc (e.g. Boisvert, 2002). Content for Promotion & contract (CPC): comprises the content to promote the products and/or services of the company, build brand identity and informs the customers of conditions related to a transaction. For example, electronic catalogue of products, product promotions, services offered, conditions regarding ¿QDQFLQJJXDUDQWHHVDQGSD\PHQWHJ$GDPHWDO Content for Relationship Enhancement (CRE): UHODWHVWRVSHFL¿FLQIRUPDWLRQWRFXVWRPHUVDQGRWKHU stakeholders in order to maintain relationships, in particular technical support and professional after-sales VHUYLFH)RUH[DPSOH)$4VUHODWHGSURGXFWVOLQNVJHQHULFLQIRUPDWLRQ¿QDQFLDOVWDWXVRIWKH¿UPDQG careers information (e.g. Boisvert, 2002). Relational Interactivity (RI): includes any features to develop personalised relations with stakeholders, build interest and a sense of community, and promote user/organization communication. For example adaptive messaging/alert on company information or product/services, customization of the Web site, discussion groups, guest books, login pages and chat. (e.g. Barnes and Vidgen, 2001). Transactional Interactivity (TI): embraces features that enable users to carry out transactions like online ordering facilities, direct sales and payment, and real-time order-processing. (e.g. Adam et al., 2002). 6HFXULW\&RQ¿GHQWLDOLW\6&UHODWHVWRIHDWXUHVWRHQVXUHWKHVHFXULW\RIWUDQVDFWLRQVWKHFRQ¿GHQWLDOLW\ of information received and the respect for people’s wishes regarding the processing of personal information. )RUH[DPSOHVHFXULW\FHUWL¿FDWLRQVDQGHQWU\LQVHFXUH]RQHRIVLWHHJ%DUQHVDQG9LGJHQ Site management & maintenance (SMM): includes features that indicate how current the content is, avoid broken links and provides contact details to advice of Web site problems and other issues. For example, last update date and webmaster link (e.g. Barnes and Vidgen, 2001). Table 2. Categories of Web site evaluation 206 The Evolving Web Presence of SMEs on externally perceivable aspects of the potential functions accomplished by the Web site (e.g., Azzone, Bianchi, Noci, & Giovanni, 2001). Con- sequently, eleven categories relevant to Web site evaluation were selected based on an analysis of SUHYLRXV:HEHYDOXDWLRQVWXGLHV7KH\DUHEULHÀ\ introduced in Table 2. Drivers of Change The third dimension examines why change oc- curs. There are different forces or factors that drive these changes and a previous phase of this research entailed the development of a categoriza- tion of these reasons, elaborated from previous VWXGLHVDQGIXUWKHUUH¿QHGDQGYDOLGDWHGEDVHG on a qualitative content analysis of secondary Web site redesign case studies (Alonso Mendo & Fitzgerald, 2005c). The resulting categories of GULYHUVDUHLGHQWL¿HGLQ7DEOH RESEARCH METHODOLOGY This section describes the research methods of a pilot application of the framework. Firstly, an empirical and quantitative approach was adopted ZKLFKLGHQWL¿HGDQGREVHUYHGFKDQJHVWR60( Table 3. Drivers of Web site redesign User-oriented drivers: this driver refers to the necessity of accommodating user needs (Benbunan-Fich $OWVFKXOOHU8VHURULHQWHGUHGHVLJQVDUHDLPHGDWSURGXFLQJDEHWWHU¿WEHWZHHQWKHVLWHDQGLWV audience by creating a better online experience and/or responding to user feedback/demand. For example, taking into account user characteristics and preferences to improve overall usability or build more intuitive navigation. Maintenance drivers: the evolution and uncontrolled growth of the content of a Web site may lead to a number of maintenance problems (e.g. site architecture erosion, outdated information, broken links etc). 0DLQWHQDQFHRULHQWHGUHGHVLJQVDUHDLPHGWRIDFLOLWDWHWKHPDQDJHPHQWDQGPDLQWHQDQFHRIWKHVLWHRU¿[ design shortcomings. Internet/eCommerce strategy changes: in order to better accomplish the organization’s strategic objectives, D¿UPPLJKWVKLIWWKHIRFXVRILWVRQOLQHVWUDWHJ\DFFRUGLQJO\5\DQHWDO7KXVWKHUHGHVLJQRIWKH ZHESUHVHQFHFDQEHH[SODLQHGLQWHUPVRIDPRGL¿FDWLRQLQWKHRUJDQL]DWLRQ¶VSXUSRVHZLWKWKH:HEVLWH HJWRIRFXVRQWKHHI¿FLHQF\RILQWHUQDOSURFHVVHVH[SDQGDFFHVVWRLQIRUPDWLRQFRQWHQWLQFRUSRUDWHRQOLQH sales, provide better customer relations or support, etc). Business requirements changes: Web site redesigns may also be undertaken due to the company undergoing fundamental alterations, such as changing focus, combining/dissolving divisions, applying a new business model, re-branding process or otherwise altering its products/services. New technological possibilities:WKLVFDWHJRU\ZRXOGH[SODLQ:HEVLWHUHGHVLJQLQWHUPVRI¿UPVWU\LQJWR take advantage of the rapid advances in Internet-related technologies (Benbunan-Fich and Altschuller, 2005) (e.g. the evolution of backend technologies, web presentation technology and formats, security services etc). Fit with peers/competitors: this driver would explain Web site redesigns in terms of organizations trying WRDFKLHYHDEHWWHU¿WEHWZHHQWKHLU:HEVLWHDQGWKHVLWHVRIRWKHURUJDQL]DWLRQVWRZKLFKWKH\FRPSDUH themselves (Ryan et al., 2003). In this way, when enough number of peers and/or competitors incorporate particular functionalities or design then the organization changes in the same way so that it can be seen as belonging to the same group of organizations. 'HYHORSHU¶VLQÀXHQFH other potential drivers include the role of Internet consultants or Web developers, ZKRPD\LQÀXHQFHDQRUJDQL]DWLRQE\VXJJHVWLQJWKHQHFHVVLW\RIDUHGHVLJQ6RPHWLPHVUHGHVLJQVFRXOG also be in response to the creativity of developers or their desire to mature and develop new skills. 207 The Evolving Web Presence of SMEs Web sites over time. The advantages of this method are that it allows a non-obtrusive data acquisition of actual changes in the Web sites without explicit interaction with the organisations and does not LPSRVHDQDUWL¿FLDOFRQFHSWXDOIUDPHZRUNVXFK as a stage model) on the subjects of study. A sample of 192 Web sites was monitored over a 10-month period and the changes recorded. This data was collected in order to study the types and characteristics of changes on these Web sites (process of change). A content analysis was then performed based on the differences between the versions of the same Web site over time (content of change). Secondly, for studying the drivers of change a qualitative approach was adopted, so that the circumstances around these changes could be investigated. This entailed contacting the com- panies that had their Web sites redesigned during the monitoring period and enquiring them for the main reasons for their redesign. Monitoring of Web Sites The sample Web sites were selected from two small EXVLQHVVGLUHFWRULHVZZZVPDOOEXVLQHVV¿QGHU co.uk and www.uksmallbusinessdirectory.co.uk) under the following business sectors: advertising, aerospace, agricultural, automotive, builders, business services, chemicals, dating services, and Web design. One reason for choosing this group of sites was that it consists of small businesses with Web sites that had to register themselves into the above directories, what implies a proactive use of their sites and their importance for their strategies. This sample does not intend to be representative of the total SMEs population in the UK as the aim of this pilot study is not making inferences about such population as a whole. However, it was deemed to provide enough variety in terms of company sizes, locations and industries for an exploratory study. In November of 2003, a copy of each of the Web sites was made by downloading Web pages using WebCopier v.3.5 (www.maximumsoft.com), DQRIÀLQHEURZVHU7KLVWRROUHFRUGVHQWLUH:HE sites and stores them locally allowing them to be analysed and compared (even when they have been replaced or changed in the Internet). To ensure d a t a c o n s i s t e n c y, o n c e d at a c o l l e c t io n h a d s t a r t e d , no new Web sites were added. Another tool, Web- Site-Watcher 3.50f (www.aignes.com) was used to compare the content of the companies pages with those downloaded to detect any changes. This tool allows the automatic monitoring of Web pages for updates and changes in menus, links and content. In order to monitor the evolution, data was collected monthly, from November 2003 to August 2004. Those sites where change was detected were then downloaded again to detect any further changes. Content Analysis 7KHSUHYLRXVPRQLWRULQJDOORZHGWKHLGHQWL¿FDWLRQ of a number of Web sites that had been redesigned during the monitoring period. Subsequent analysis explored the content of these changes by evaluat- ing the same Web site before and after a redesign to check whether it experienced any growth in functionalities and/or technical sophistication. The method applied surveyed the new Web sites in detail and mapped all changes detected. The detected changes were mapped to the eleven categories of evaluation proposed in the frame- work. For each case, the categories were assigned a binary numerical code of ‘1’ when there were features of that particular category affected and ‘0’ when there were not. The categories of the framework were found to be comprehensive and relevant as all the changes were able to be placed in one or other of the categories. Telephone Interviews In order to complement the previous analysis and get a more complete picture of the motiva- tions behind the Web site redesigns, telephone 208 The Evolving Web Presence of SMEs interviews were undertaken between December DQG0DUFK$OHWWHUZDV¿UVWVHQWE\ post and e-mail, to the owners or directors of the companies that were found having redesigns dur- ing the monitoring period (18) to invite them to participate in the research. Follow-up calls were made and a questionnaire of eight open-ended questions used to obtain information about the reasons for the redesign, the objectives of the Web presence and other Web maintenance and planning issues. Whenever the respondent had no time to answer on the phone, the alternative option for replying by e-mail was offered. In total, reasons for redesign were obtain from 10 out of 18 companies that redesigned their Web sites (55% participation rate). RESULTS Monitoring of Web Sites After the 192 Web sites were monitored for a 10- month period, a number of different categories of FKDQJHZHUHLGHQWL¿HGDQGPHDVXUHG3UHYLRXV research proposed a number of evolution strate- gies: (1) no evolution, (2) minor corrections, (3) managed redesign, (4) multi-developer main- tenance, and (5) database (Boldyreff, Gaskell, Marshall, & Warren, 2001). For the purpose of this study a number of these strategies were LGHQWL¿HGDQGVRPHRWKHUVDGGHG7DEOHVKRZV the types of changes for the sample Web sites in order of magnitude. )LIW\SHUFHQWRIWKH:HEVLWHVKDG³FRQWHQW XSGDWHV´7KLVFDWHJRU\DV³PLQRUFRUUHFWLRQV´ was found in previous research as second in im- portance (Boldyreff et al, 2001). It is interesting to note that the second most common category of change found in the sample is actually the absence of any change. Around 18% of the sample Web sites did not have any change or updates during the monitoring period (dormant sites). Previously, WKLVFDWHJRU\ZDVWHUPHGDV³QRHYROXWLRQ´DQG IRXQGWREHWKHPRVWIUHTXHQWRQH³,QFUHPHQWDO changes” is the third category in our list, account- ing for around 10% of the sample (this category was not contemplated in the previous research). ³0DMRUUHGHVLJQV´ZHUHIRXQGLQDVLPLODUSUR- SRUWLRQDURXQG7KLVFDWHJRU\DV³PDQDJHG redesign”) was found in the previous research as third in importance. Curiously, a similar propor- tion (9%) of the sites disappeared along the way and no longer existed at the end of the monitoring SHULRG³FOLFNRII´FDVHV,QSUHYLRXVVWXGLHVDERXW the permanence and mortality of Web sites, this was found to be much larger: 18% by Koehler (1999) and 27% by McMillan (2001). Finally, three sites (2%) were found to have been bought and now redirected to a different company. Further four sites (2%) hold at the end of the period an under-construction page, while the Web site was being redesigned. It is important to note that in some of the Web sites several evolution strategies appear to have taken place during the study. For example, the same site having content updates, incremental changes and redesigns. This indicates that the maintenance process itself appears to evolve over WLPH+RZHYHUIRUVLPSOL¿FDWLRQDQGFRPSDULVRQ purposes, in Table 4 each Web site was allocated to only one category, that exhibiting the greatest degree of change. For example, when a site was found to have content updates and later a redesign, the site was counted in the redesign category. Figure 2 shows the detail of the evolution strat- egies found broken down into business sectors. Given that the number of companies belonging to the sample sectors in this preliminary study were different, a 100% (percentage) stacked column JUDSK LV SURYLGHG LQ WKLV ¿JXUH WR DOORZ WKHLU FRPSDULVRQ³%RXJKW´DQG³XQGHUUHFRQVWUXFWLRQ´ FDWHJRU LH VKDYHEHHQRP LW WHGL QWK LV¿J XUHIRUW KH shake of its readability. This chart displays what percentage each evolution strategy comprises of the total cases for each sector so all values from the same column (sector) add up to 100%. These percentages will allow us to realize the sectors 209 The Evolving Web Presence of SMEs that differ most from the general averages given in Table 4, in terms of the evolution strategies found. As shown in Figure 2, chemicals and dating services Web sites seem to be subject to more ³FRQWHQWXSG DWHV´WKD QRWKHUVHFWRUV$WWKHVDPH Table 4. Evolution strategies Type of change Sites Percentage Content updates 96 50% No change (dormant sites) 34 18% Incremental changes 20 10% Major redesigns 18 9% Dead sites (click off) 17 9% Under re-construction 4 2% Bought sites 3 2% Total 192 100% Figure 2. Evolution strategies by sector 210 The Evolving Web Presence of SMEs WLPHDJULFXOWXUDODQGEXLOGHUVDUHVLJQL¿FDQWO\ the less updated. These considerable differences may indicate that different kinds of business are subject to different maintenance needs, in terms of currency of content. )RUWKHFDVHRI³GRUPDQWVLWHV´WKHVHVHHPWR be more commonly found in the builder sector and less in automotive, dating services, chemicals, and DJULFXOWXUDO³,QFUHPHQWDOFKDQJHV´DUHUHODWLYHO\ frequent in agricultural, aerospace and automo- tive, whereas they are not present in advertising, chemicals, dating services, and Web design. ³5HGHVLJQV´DUHFOHDUO\PRUHIUHTXHQWLQ:HE Designers while agricultural, builders, chemicals, and dating services happen to lack them. Sites that ³FOLFNRII´DUHIRXQGPRUHIUHTXHQWO\LQEXLOGHUV and agricultural sectors, while automotive is the only sector which has none. Content Analysis of Web Sites Table 5 shows the analysis of the frequency of the Web site dimensions changed during the redesigns (i.e., the absolute and percentage number of Web site redesigns collected, where a given category was altered). In this way, we can see that most of the redesigns in the sample incorporated changes in DA (75%) and NAV (70%) features. Around half, affected CII (50%) and RI components (45%). The least affected dimensions are DUM (5%), TI (10%), and SC (15%). Counts and frequencies per variable are presented in Table 5. Five out of the nine business sectors selected for the study presented Web site redesigns. They were explored and analysed to investigate whether dif- ferent kinds of SMEs incorporate different types of features when redesigning their Web sites. Table 6 shows the relative frequency of each category broken down by business sector. These percentages show how the categories by sector differ most from the total sample averages given in Table 6. For example, in the case of Web de- signer sector the RI dimension was affected in all their redesigns (100%) while NAV was only in half of them (50%). In the case of the advertising redesigns features, ACC (40%) and DUM (20%) were more frequent than average. For Aerospace redesigns NAV and DA dimensions were affected in all their cases (100%), CII and CRE were so in half of them (50%) while all the other dimen- sions were not present. For Automotive sector the CPC (60%), SC (40%), SMM (40%) and TI were Table 5. Frequency of categories changed Evaluation categories Frequency Percentage Design & aesthetics (DA) 15 75% Navigability (NAV) 14 70% &RQWHQWIRU,GHQWL¿FDWLRQ,PDJH&,, 10 50% Relational Interactivity (RI) 9 45% Content for Relationship Enhancement (CRE) 7 35% Content for Promotion & contract (CPC) 6 30% Site management & maintenance (SMM) 5 25% Accessibility (ACC) 4 20% 6HFXULW\&RQ¿GHQWLDOLW\6& 3 15% Transactional Interactivity (TI) 2 10% Design & use of multimedia (DUM) 1 5% 211 The Evolving Web Presence of SMEs more frequent than average. Finally, for business services TI (25%) is more frequent while DA, &,,DQG5,DUHVLJQL¿FDQWO\OHVVIUHTXHQW than the average. Telephone Interviews The responses of the companies, relating to their main reasons for redesigning their Web site, were collected and coded according to the a priori clas- VL¿FDWLRQLQWURGXFHGEHIRUH7DEOHVKRZVWKH analysis of the frequency of the main drivers of UHGHVLJQLGHQWL¿HGLQWKHUHVSRQVHVREWDLQHG (i.e., companies A, B, etc.). The last column in- dicates the number of times that a given category of driver was mentioned as being a key reason for the redesign. The results show that the most SRSXODU UHDVRQVZHUH³%XVLQHVVUHTXLUHPHQWV´ DQG ³0DUNHWLQJHFRPPHUFHVWUDWHJ\´ 2Q WKH RWKHU KDQG ³1HZ WHFKQRORJLFDO SRVVLELOLWLHV´ DQG ³'HYHORSHUV LQÀXHQFH´ DUH IRXQG RQO\ LQ one case each. Even more, a seventh category ³¿WZLWKSHHUVFRPSHWLWRUV´ZDVQRWPHQWLRQHG in any of these cases. It is important to note that in most cases more than one main category of drivers was found, as it can be seen in the last row of the table. In order to get a more detailed insight into WKHVSHFL¿FGULYHUVRIFKDQJHDEUHDNGRZQKDV EHHQDSSOLHGWRWKH¿UVWIRXUFDWHJRULHV7DEOH presents the breakdown of the four more relevant categories into several subcategories Dimensions Total sample Web designer Advertising Aerospace Automotive Business Services Design & aesthetics (DA) 75% 100% 60% 100% 100% 25% Navigability (NAV) 70% 50% 60% 100% 80% 75% &RQWHQWIRU,GHQWL¿FDWLRQ Image (CII) 50% 50% 60% 50% 60% 25% Relational Interactivity (RI) 45% 100% 40% 0% 40% 25% Content for Relationship Enhancement (CRE) 35% 50% 20% 50% 20% 50% Content for Promotion & contract (CPC) 30% 25% 40% 0% 60% 0% Site management & maintenance (SMM) 25% 25% 20% 0% 40% 25% Accessibility (ACC) 20% 0% 40% 0% 20% 25% 6HFXULW\&RQ¿GHQWLDOLW\ (SC) 15% 0% 20% 0% 40% 0% Transactional Interactivity (TI) 10% 0% 0% 0% 20% 25% Design & use of multimedia (DUM) 5% 0% 20% 0% 0% 0% Table 6. Categories changed by sector 212 The Evolving Web Presence of SMEs DISCUSSION OF RESULTS ,Q DGGUHVVLQJ WKH ¿UVW UHVHDUFK TXHVWLRQ KRZ SMEs change their Web sites), a number of dif- ferent evolution strategies were studied. Firstly, incremental changes and redesigns were found to occur in similar proportions (10% and 9% respectively). However, according to Hudson, major redesigns could be counterproductive, as users generally do not like rapid, drastic changes Table 7. Analysis of the frequency of the main drivers of redesign Drivers of redesign / Respondents A B C D E F G H I J Frequency Business requirements x x x x x x 6 Marketing/eCommerce strategy x x x x x x 6 User-oriented drivers x x x x 4 Maintenance drivers x x x 3 New technological possibilities x 1 'HYHORSHUVLQÀXHQFH x1 Number of drivers 4 1 5 1 2 3 1 1 2 1 Table 8. Analysis of the frequency of the subcategories of drivers of redesign Subcategories / Respondents A B C D E F G H I J Frequency Subcategories of Business requirements Refresh dated looking site x x x 3 New services/products x x 2 Change branding x x 2 Subcategories of Marketing/eCommerce strategy Search engine optimization x x x 3 (QKDQFH¿UPLPDJH xxx 3 Improve eCommerce functionality x x 2 Improve customer service/support x 1 Marketing/branding awareness x 1 Subcategories of User-oriented drivers Improve accessibility x x 2 More user friendly site x 1 Audience/user needs x 1 Subcategories of Maintenance drivers Improve site management/ maintenance xx x 3 Security/Login x 1 Site architecture/design shortcomings x1 213 The Evolving Web Presence of SMEs to their interfaces (Hudson, 2000). A completely new Web site can frustrate users by depriving them of a familiar system and forces them to relearn the site, reading content and scanning links for the material they need. Therefore, further research V KR X OG H[D P L QH W KHV S H FL¿F UHD V R QVZ KHQ D PDMRU  redesign is inevitable and a better option than incremental changes. In addition, dormant sites ZHUHIRX QGLQDVLJ Q L¿F DQW QX PEH URIFDVH V and may indicate possible maintenance problems or barriers in SMEs. Thus future interviews with these companies will be undertaken to try to ex- amine the circumstances in which they occur. In relation to the second research question (what kind of changes SMEs made in their Web sites), it was found that most of the redesigns in the sample involved the improvement of features ³GHVLJQ  DHVWKHWLFV´  DQG QDYLJDELOLW\ (70%). The second most relevant categories af- IHFWHGZHUHWKH³FRQWHQWIRULGHQWL¿FDWLRQDQG LPDJH´ RI WKH FRPSDQ\  DQG ³UHODWLRQDO interactivity” (45%). These frequencies suggest that the majority of companies evolved their Web sites to refresh the image and change navigation protocols rather than to add transactional features or other e-commerce facilities. From the sectors studied only the automotive DQG EXVLQHVV VHUYLFHV LQFOXGHG ³WUDQVDFWLRQDO LQWHUDFWLYLW\´IHDWXUHVZKLOH³UHODWLRQDOLQWHUDF- tivity” was found mainly in Web designers and aerospace sectors. Interestingly, the motor and aerospace industries are some of the few examples where there is some evidence of SMEs having engaged in more complex ebusiness applications E H FDX V H RI W KHL Q ÀX H Q FHRIW K H H SU D F W L FHV RIO D U JH U  organisations (Brown & Lockett, 2004). These ¿QGLQJVVXSSRUWWKHQRWLRQWKDWHFRPPHUFHVWDJH models are not the best way of representing the e-business progression of SMEs as such models assume that Web sites grow in sophistication and functionality over time, whereas it would appear W KD W60 ( VPRUHI UH TXHQWO \VL PSO\UH¿Q HW KH LUH[- isting Web presence. Transactional Web sites are often not the primary strategy of small business to generate online sales. Alternative strategies, such as selling by online auctions and e-mail campaigns, have been found to be more suitable for the limited resources and technical skills of small business (Gribbins & King, 2004). With regard to the third research question (why SMEs change their sites), it seems that many of the redesigns analyzed are motivated by business UHTXLUHPHQWVVXFKDVDGHVLUHWR³UHIUHVK´DQROG looking Web site, an expansion of products/ser- vices or a change of branding. Marketing/e-com- merce strategy considerations are also important reasons. For example, to improve the rankings in search engines and to enhance the image of the company. Improving the e-commerce functional- ity of the site was only mentioned in two of the companies. In addition, improve the management and maintenance of the site and its accessibility were mentioned too. 6RPHRIWKHVH¿QGLQJVDUHLQOLQHZLWKSUHYLRXV work, describing transformation of commercial Web sites, that found a tendency to expand in- formation and improve usability (Benbunan-Fich & Altschuller, 2005) and to focus on information convenience, site navigation and customer con- ¿GHQFH3LFFROL%URKPDQ:DWVRQ3DUDVXUD- man, 2004). CONCLUSION The Stages of Growth model is one of the most common approaches to explain the evolution and progression of Internet technologies adop- tion by organisations. However, this approach is not exempt from criticism and other alternative models and approaches are to be found in the OLWHUDWXUH7KLVFKDSWHUKDVSURSRVHGDQGMXVWL¿HG an alternative, multidimensional, research frame- work, based on organisational change concepts, such that the study of SMEs Web evolution can be undertaken in a more insightful way and in a ZD\WKDWEHWWHU¿WVZLWKHPSLULFDO¿QGLQJVIRXQG in the literature. The framework consists of three . redesigns: denotes sudden and major shifts in a Web site that involve more than mere alterations in look and feel. They usually imply changes to the number and organization of pages and functionality. required and search tags. (e.g. Loiacono and McCoy, 2004). Design & aesthetics (DA): these features measure that the design of the site is aesthetically pleasing and that its ‘look and feel’. content to promote the products and/ or services of the company, build brand identity and informs the customers of conditions related to a transaction. For example, electronic catalogue of products,