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Customer satisfaction in e-commerce

Effects Of Website Attributes On Customer Satisfaction In E-Commerce

Introduction

The Internet is no longer a niche technology - it is mass media and an utterly integral part of modern life. As our lives become more fractured and cluttered, it isn't surprising that consumers turn to the unrivalled convenience of the Internet when it comes to searching and buying product.

Introduction To E-Commerce

The rise of the WWW gives birth to new phenomena in our daily lives, one of which is e-commerce. The internet has played a fundamental and key part to promote selling products and services online which makes life convenient for the audience, which in an inter-connected world, is well, the whole world.

E-Commerce is a subset of an overall e-business strategy consists of the buying and selling of products or services over electronic systems such as the Internet. E-commerce system seeks to add more revenue streams using the World Wide Web or the Internet to build and enhance relationships with partners and clients and to improve the system's efficiency.

E-commerce has given rise to the concept of absolutely online shops selling products and services, proficiently catalogued and available for the convenience of customer.

There are several websites that stockpile everything from books, electronic appliances lifestyle items, collectibles etc.

The level of e-commerce use can be measured by using an e-commerce capability indicator. E-commerce capability indicator by Molla and Licker:

E-business applications can be divided into three categories. First is an internal business system in which customer relationship management (CRM), Enterprise resource planning (ERP), and Human Resource management (HRM) type of systems are involved. Second is enterprise communication and collaboration such as content management system (CMS), business process management (BPM) and web conferencing etc. Third is e-commerce that includes Business-to-business (B2B) e-commerce and Business-to-customer (B2C) e-commerce. Online shopping comes under this category on which this study is conducted.

Several e-commerce service providers are available on web that provides professional personalized web designing services that suit their client's needs.

Some common applications related to electronic commerce are the following:

Online Shopping

Online shopping is the process consumers go through to purchase products or services over the Internet. An online shop, e-shop, e-store, internet shop, web shop, web store, online store, or virtual store evokes the physical analogy of buying products or services over the web.

Online shopping is a type of electronic commerce used for business-to-business (B2B) and business-to-consumer (B2C) transactions.

The term "web shop" also refers to a place of business where web development, web hosting and other types of web related activities take place (Web refers to the World Wide Web and "shop" has a idiomatic meaning used to describe the place).

Service Quality

The level of service received on a website. Dependent on reliability, responsiveness and availability of staff and the web site service. Service quality is comprised of five dimensions. These are:

 Service Quality Dimensions In E-Commerce Systems

Let's examine how customers judge the five dimensions of service quality in perspective of e-commerce systems.

Tangibles refer to the physical appearance of an e-commerce website, its structure, layout, theme etc and referred as “website structure”. Reliability represented as “website adequacy” which provides the relevant and needed information provided by an e-commerce system when customer clicked or requested for. Assurance termed as “website security” refers as the trustworthy service provider that could include a well reputable website, reliable payments methods etc. Responsiveness is the prompt and relevant response to the specific request of users described by “website response”. Empathy knows internal customers as individual; understanding individual needs and concerns such as by providing recommendations that matches the customer's needs which is termed as “website customization” in world of web.

Service Quality Framework (SERVQUAL)

SERVQUAL was originally measured on 10 aspects of service quality which are reliability, responsiveness, competence, access, courtesy, communication, credibility, security, understanding or knowing the customer and tangibles.

By the early nineties the authors had refined the model to the useful acronym RATER.

SERVQUAL has its disbeliever and is considered overly complex, subjective and statistically unreliable. The simplified RATER model however is a simple and useful model for qualitatively exploring and assessing customers' service experiences and has been used widely by service delivery organizations.

Customer Satisfaction

Customer satisfaction refers to the extent to which customers are happy with the products and services provided by a business. Customer satisfaction levels can be measured using survey techniques and questionnaires. Gaining high levels of customer satisfaction is very important to a business because satisfied customers are most likely to be loyal and to make repeated orders and to use a wide range of services offered by a business.

The basic definition of customer satisfaction says that Customer satisfaction is a business term, is a measure of how products and services supplied by a company meet or surpass customer expectation.

Customer satisfaction is an abstract concept and the actual manifestation of the state of satisfaction will vary from person to person and product/service to product or service. The level of satisfaction can also vary depending on other options the customer may have and other products against which the customer can compare the organization's products or services.

Customer Satisfaction Based On Perceived Service Quality Of E-Commerce Systems

The overall satisfaction of e-commerce customers can be attained by providing the level of service quality that customers perceive in that system. The five dimensions of service quality are tangibility, reliability, responsiveness, assurance and empathy.

The website structure of an e-commerce websites is all about the tangibility dimension.

The reliability dimension in this study is measured by the attribute called website adequacy. The website response variable indicates the responsiveness dimension. Website security as another attribute of an e-commerce system refers to the assurance dimension and the empathy dimension described by the website customization

The overall customer satisfaction is based on the five service quality dimensions representing various service attributes. These five dimensions are tangibility, reliability, assurance, responsiveness and empathy.

The detailed model used in this study is presented in figure A. The website design elements are characterized into five different types which are supposed to influence the five service quality dimensions.

This study hypothesizes that some website attributes that are based on service quality dimensions has an impact on an online customer satisfaction. In other words, customer's satisfaction level will increase if the e-commerce system provides a higher level of service quality through different website attributes.

Increased Trend Of Online Surfing And Shopping In Pakistan

The trend of an online surfing is increasing rapidly due to the increased benefits by the use of e-commerce business environment.

People visit e-commerce web sites not only for buying but for several other reasons and the smart retailer just should not only focus on boosting online browse-to-buy conversion rates, but should also try to grab the attention of an online visitors who came in for review so as they could become a customer later.

Many people feel it comfortable to review the products through an extensive knowledge provided over the internet before actually buying a particular product. For this purpose, e-commerce website provides an interface to the buyers to write their reviews and share their after-purchase experiences.

Thus, the e-commerce systems reduce the time and efforts required for the first step of information search in consumer decision making process. That is, by just few clicks a consumer can have a concise analysis for what matches his/her needs.

There are some factors emerged as a results of the changes in lifestyle and habits of consumer which has promoted the trend of online searching and shopping in Pakistan. Some of these factors are lack of time, need of convenience and easy access to the desired object.

Moreover, e-commerce websites facilitates the visitor in many ways to boost up online browse-to-buy conversion rate.

Whenever a new customer lands on an e-commerce website, he/she must be having many questions in their minds regarding the products and services. A well-framed ecommerce site has an enquiry page for their customers. This gives the chance to the visitor to post an enquiry with the website. Main aim of this page is to gather all relevant and necessary information from the customers so that they can be given response in an apt manner.

Within the past decade, e-commerce has matured and grown exponentially. The result shows that now there are many types of e-commerce payment methods available online. If a customer's credit is bad and customer cannot afford a merchant account, there are alternative methods of payments on e-commerce websites which can help the customer.

The e-commerce systems give customers controlled access to the data they need. In other words, through an e-commerce systems company is not only managing the relationship with its customers, but giving the customers the tools to manage their relationship with the company.

Thesis Structure

This thesis consists of five chapters.

Chapter 1 discusses the problem about which the research was carried out and in general about the trends of online shopping in Pakistan. Chapter 2 is about the literature review and the theoretical background is developed. In Chapter 3, researcher describes the research method adopted including sources of information and data collection procedure is discussed. In chapter 4, the empirical data collected through questionnaire is analyzed and results are concluded on the basis of a survey. In Chapter 5, Conclusions are drawn and necessary recommendations are suggested.

Statement Of The Problem

“Effects of website attributes on customer satisfaction in e-commerce.”

The main purpose of this research is to find out the different attributes which encourage consumers to visit, search and shop on a particular website.

Objective

The purposes of this study are as follows:

  1. To identify the most important website element of e-commerce with respect to the customer satisfaction.
  2. To examine what is important to the customer regarding website attributes in e-commerce with perspective of website builders.

Possible Research Findings

The research will also provide the following significances.

Help the organization to better understand what customers expect in e-commerce and how those expectations impact customer attitude.

The study will examine what the customer views as major attributes of website in e-commerce.

Able to investigate the major customer attitudes associated with website structure in e-commerce.

The study will indicate the link between the website attributes and the customer attitudes.

Hypotheses

H1 Website structure has a significant association with customer satisfaction.

h3 Website adequacy has a significant association with customer satisfaction.

h3 Website security has a significant association with customer satisfaction.

H4 Website response has a significant association with customer satisfaction.

H5 Website customization has a significant association with customer satisfaction.

Introduction To E-Commerce

The propagation of WWW has originated few facts in our daily lives, one of which is e-commerce. A transaction between two or more participants through an electronic medium is defines as e-commerce (Kalacota and Whinston 1997). As an e-commerce is rapidly raising field, therefore for accomplishing success in this market, a top quality information system is necessary (Margherio, Henry, Cooke and Montes 1998).

An e-commerce system is designed by selectively integrating many technical (e.g. search system) or managerial (e.g. the level of information related to product) design elements (Lohse and Spiller 1998).

It is still very difficult, if not impossible; to make use of all the design factors presently available for the e-commerce system although many design factors have been suggested to improve the overall quality of e-commerce system (Selz and Schubert 1997, Lohse et al. 1998). This is because of the recent arrival of new design factors resulted by an increase in the interest of Internet (Selz et al.)

The main goal of this paper is to explore important design elements that have significant influence on the customer satisfaction regarding the performance of e-commerce systems. In this paper, the study presents a conceptual model of e-commerce websites that includes concrete design elements, perceived level of website quality and the customer satisfaction (Kim and Lee 2002).

There is remarkable potential for e-commerce in developing countries. Online shopping makes it easy to find things, merchants and best offerings and thus economical in terms of time and effort offerings (Balasubramanian, 1997).

According to the Malone, Yates and Benjamin (1989), communicating a same piece of information through communication networks results in decreased cost and improved speed.

There is tremendous potential for e-commerce in developing countries because the use of an e-commerce can potentially reduce transaction costs. As per Malone et al. (1989) observation, the search costs such as cost of identifying a market (from where to buy a product) and /or a product or service are likely to reduce with the use of e-commerce systems and can be defined as potential e-commerce cost savings.

From an organization's perspective, e-commerce systems provide the organization with the better market reach and an ability to provide their customer a customized service that suits their individual needs and preferences. For example the exchange between “richness” and “reach” can be minimized by e-commerce (Evans and Wurster 2000). Richness refers to the quality and quantity of information in terms of accuracy, relevance, customization, etc. and reach measures the number of people who can be got in touch with that information.

Service Quality Dimensions

The overall customer satisfaction can be measured by the level of service quality of an e-commerce system that customer perceives. Some researchers (Parasuraman, Zeithaml and Berry 1988) stated that consumer satisfaction or dissatisfaction is as an ancestor of service quality. Conversely, modern evidence recommends that it is an outcome of service quality (Woodside, Frey and Daly 1989; Cronin and Taylor 1992).

Service quality attributes are the most important factors for the success of an e-commerce systems For example Liu and Arnett (2000) found that organizations that involve in e-commerce can only ensure the success of their system by keenly looking for the ways to improve their service quality.

The customer's decision whether to continue using a particular e-commerce system is based on the perceived quality of service (Bhattacherjee, 2001) as the service quality impacts the overall satisfaction of a customer.

Tangibility, reliability, responsiveness, assurance and empathy are the five dimensions of service quality. (Parasurama, Zeithaml and Berry 1985, 1991; Pit, Watson and kavan 1995). The tool that is being used in this study to measure the dimensions of service quality is SERVQUAL. This instrument has been proved valid and reliable and hence used in various domains. (Brown Churchill and Peter 1993; Fisk, Brown and Bitner 1993; Parasuraman et al. 1993).

On the basis of previous researches, service quality despite being a main interesting field in services marketing for the past two decades (Zeithaml, Parasuraman and Malhotra 2000); electronic service quality is still in its early stages in research area.

Riel, Liljander and Jurriens (2001) concluded that there has been no theoretical conceptualization emerged for customer evaluation of electronic services that could have been accepted generally. Cox and Dale (2001) has supported this conception by the fact that most out of the dominant research on service quality cannot even be valid to e-business environment.

By the year 2002, the existing studies on the determinants of electronic service quality were based on measuring B2C interactions (Gilbert, 2000; Barnes and Vidgen's 2000, 2001 and 2002) and few exploratory researches on website quality and e-service quality by Zeithaml et al. (2000).

In early stages of service quality research, researchers were required to find out what is service quality from customer's perspective (Sasser, Olsen and Wyckoff 1979; Lehtinen and Lehtinen 1982; Gronroos, 1982).

It was normally approved that the judgment of service quality came from comparisons between what customers feel a service provider should offer (expectations) and the actual service performance of the company (perceptions) (Zeithaml et al. 2000). This view was reinforced by Zeithaml et al.; Parasuraman et al. (1985) in their study of service quality in different service industries with which they discussed the concept of service quality as a function of expectations-perception gap.

Parasuraman et al. (1985) identified the 10 dimensions that customer uses in their assessment of service quality. These 10 service quality dimensions then shaped the source for the development of a scale (SERVQUAL) to measure service quality in direct service interactions. Research extended in other context and as a result refined the scale and reduced it to 5 dimensions (reliability, responsiveness, assurance, empathy and tangibles)

Since the SERVQUAL scale has been widely used to measure service quality in many studies across a range of settings (IS Departments; Airlines; Universities; Ocean Freight Shipping; Professional Services; Health Providers; International Markets; Purchasing; Advertising; Banking; E-commerce). (Burgess).

Initially the concept of services were created to capture the nature of service encounters (Meuter, Ostrom, Roundtree and Bitner 2000) which may not be sufficient to capture the characteristics of customer interactions with self-service technologies such as e-services (Dabholkar, Thorpe and Rentz 1996). Later on, many approaches have been proposed to study online service. (Gilbert, 2000; Gronroos, Heinonen, Isoniemi and Lindholm 2000; Parasuraman and Grewel 2000; Kaynama and Black 2000; Zeithaml et al. 2000) proposed the use of existing service theory as a first type.

The second type utilizes generated new categories for self-service technologies such as e-services (Szymanski and Hise 2000; Riel et al. 2001; Wang and Tang 2001; Ruyter, Wetzels and Kleijnen 2001). Third type develops information systems and web quality theory (Barnes et al. 2000, 2001 and 2002; Aladwani and Palvia 2001).

These researches have centered on customer interactions with a variety of self-service technologies such as automated call centre technology, ATM's and Web sites and touch screen technologies. A redefined SERVQUAL instrument to measure the service expectations and perceptions of customers of Internet businesses was used by Gilbert (2000) in which he concluded that to measure online service quality, the altered SERVQUAL scale was a practical instrument.

The features that are useful, accurate, relevant and comprehensive information reflect the reliability of quality information (Bailey and Pearson 1983). Bailey et al. also identified that website reliability depends on to what level the information provided on the website about the product or service is true, precise and also depend to what level a customer can rely on a particular website that it provides enough amount of information available regarding each product.

(Luedi, 1997) stated that website personalization based on the ability of website to deliver individualized interface for a specific user which generated dynamically as per user's needs. This may involve making purchase recommendations and /or providing the list of other relevant products that match's the customer needs.

This can be extracted through the previous data available regarding an individual user such as buying behavior, cart items and the current session contents. Providing customized services is the best way to create a loyal customer and make repeat visits on a website (Luedi, 1997).

The concern over security continues to plague the online world. Variables like perceived security, reputation were included in this study to examine the customer attitude towards buying process (Lightner, 2003). Even though the understanding of credit card transactions perceived secure like a waiters and waitresses, still security is the top concern of people who shop online (Salisbury, Pearson, Pearson and Miller 2001; Luo, 2002; Wilson and Abel 2002). Likewise security is the reason why people do not shop online (Luo, 2002).

The research variable of Security reflects trust in the online system and the variable reputation reflects trust in the specific vendor. Discovering whether vendors receive repeat business reflects the overall buying attitude of consumers. Overall customer satisfaction at online shopping measures which attributes helps the website meets expectations.

Website Elements

The first phase of consumer decision making process that is the information search starts the minute customers look at the interface of e-commerce website and ends until they decide whether to place the purchase order or not (Schmid, 1995). The role of website structure remains important during the phase of information search process such as site maps, navigation, content settings and layout of website etc.

The content, structure and website elements should be portrayed explicitly on the e-commerce interface. Website structure that includes the presentation of design elements determines how the information is actually displayed on the screen to acquire the customer attention (Morris and Hinrich 1996). Convenient website structure defined as to what extent a customer feels that the e-commerce website is user friendly, simple and instinctive. (Chung and Shin 2008)

Website adequacy describes the quality and quantity of the information provided in the e-commerce system. Content based on usefulness and comprehensiveness involves the type and scope of information to be included in the system (Morris et al. 1996; Kim 1997).

After the collection of appropriate information regarding the identified products or services, the contents must be placed in a well organized manner so that the customer can understand the interface easily (Gronroos, 1982; Rosenfeld and Morville 1998). A well-defined and properly placed content is a feature of website which indicates the ability to made information easily available to visitors (Chung et al. 2008).

When adequate and reliable information has been properly dispersed across different web pages within the structure of the e-commerce website, an efficient interaction system must be provided to enable the customer to switch between different pages easily (Kim and Yoo 2000, Park and Kim 2000). (Ballantine, 2005) has found the impact of interactivity and product related information on customer satisfaction in an online trade setting. He argued in his study that the amount of product-related information affected consumer satisfaction of online shopping.

An important design element that relates to the interaction system includes the involvement of website response and website customization ability. Website Customization is referred as the extent to which an e-commerce website can identify a customer and then modify the choice of products and shopping experience for that customer (Srinivasan, Anderson and Ponnavolu 2002).

(Coupey, 2001) in their research argued that the improved accessibility of information on internet is likely to result in informed customers. And educated customers are able to make better quality decisions and will then experience more satisfaction with the visits and purchases they make.

The connection between all of the five individual variables describes the basic architecture of web pages (Steinmetz and Nahrsted 1995). The overall satisfaction of e-commerce customers can be attained by providing the level of service quality that customers perceive in that system. Satisfied customers have more potential to spread positive word-of-mouth (Gremler and Brown 1999), and they avail further services (Zeithaml, Berry and Parasuraman 1996).

The five dimensions of service quality are tangibility, reliability, responsiveness, assurance and empathy (Parasuraman et al. 1985, 1991; Pit et al. 1995).

Attributes related to the website structure such as physical appearance of e-commerce websites are represented by tangibility dimension. For example, the tangibility measures the appeal of the website design of e-commerce system presents to their customers.

The ability of the website to provide the dependable, accurate service is represented by reliability dimension. (Pit et al.1995). For example, the reliability dimension measures how often an e-commerce system provides useful and comprehensive information regarding the relevant products or services.

The responsiveness dimension indicates how prepared the website is to promptly response the customer with the clicked option. (Parasuraman et al. 1991). For example, the responsiveness dimension measures how often an ecommerce system voluntarily provides services that are important to its customers such as less loading time. Or it can be measured by how often a website provides accurate and rich information after a user clicked a particular product.

The trust and confidence encouraged in the customer by the information provided on e-commerce system refers to the assurance dimension (Parasuraman et al. 1991). For example, the assurance dimension can be measured by extent to which a website is able to give a secure feeling to an online buyer.

The empathy dimension described as the individual attention to the customer that is being provided by the dynamic e-commerce website (Pit et al. 1995). For example this dimension measures how often an ecommerce system voluntarily offers recommendations that match to its customers' needs in order to provide the individual customer's benefit.

In summary, the overall quality of an e-commerce system can be measured by the service quality level perceived by its customers and ultimately leads to the customer satisfaction (Kim et al. 2002).

(Parasuraman et al. 1988, 1991) in study on SERVQUAL found that the interactive elements of e-commerce systems are e-business features that help in building relationships with customer and are fall into five main sets that are tangibles, reliability, assurance, responsiveness and empathy.

Due to the consistency of research findings stated in literature, it become easy to propose that the five main determinants of e-commerce include website structure, website adequacy, website security, website response and website customization (Horn, Feinberg and Salvendy 2005).

In an e-business structure, the customer interaction with the business is through the e-commerce website. Therefore, several original SERVQUAL items were modified to focus on e-commerce website. The definition of an empathy dimension was extended to include personalization or customization, which is the concept of web gurus as they believe the emotional connection between customer and web business (Peppers et al. 1999).

The overall appearance and structure of e-commerce website shows its tangibility. The performance of promised services and adequacy of information explains the reliability of an e-commerce website. Responsiveness is the ability of e-commerce system to help and provide prompt response to the website user. The individualized attention and customized service provided by the e-commerce system to an individual customer is described as empathy. Security is the trust on an e-commerce system in protecting personal and financial information (Horn et al. 2005). The major factors that impact the customer attitude are the five main attributes of e-commerce system. The model in Figure 1 describes how these attributes of e-commerce system work together to achieve customer satisfaction.

The satisfaction or dissatisfaction of customer is defined as an emotional response to a specific consumption experience (Swan and Oliver 1989).

It is determined by to what extent a consumer perceives that the service fulfills his/her needs, wants or desires. Satisfaction is a “state” inconsistent in that a consumer can be “very dissatisfied” or “very satisfied” (Tse, Nicosia and Wilton 1990).

Survey

Sources Of Data Collection:

According to experts, the best approach and way of building an e-commerce site is by using services of website development providers. A professional team of web developers would take care and work for the e-commerce designing project and give regular feedback about the proceedings therefore for conducting this research, professionals from web development area was selected from five different firms.

A survey was conducted by going to the software organizations that are involved in business of web development. Out of the five selected firms, few were chosen from the list of organizations registered on PASHA website and few were preferred on the authentic source of information about the adequate web development experience of these firms. The respondents were web developers, web architects and project managers.

Questionnaire

The instrument comprised of 24 structured questions was used to collect data (primary) from the targeted respondents. Majority of the questions were anchored using a 5 point Likert scale where “1” means Strongly Disagree and “5” means Strongly Agree and some used a rating scale as 1-for Low impact, 5- for High impact.

Customer satisfaction items from five SERQUAL dimensions are tangibility, reliability, assurance, responsiveness and empathy are included in this instrument.

Sample

There are total 1082 IT firms in Pakistan which are doing web development activities as part of their businesses. Out of which 384 are in Karachi. These statistics has been collected from the website of PASHA. On the basis of above information, five companies were selected as a sample in this study, and around ten respondents from each company were requested to fill up the survey form.

As a result, total 60 responses were collected, which were divided in gender distribution. Males accounted for 83% of the respondents, and 17% were females. Besides the web development experience, all of the respondents have reasonable web browsing and online buying experience. The majority of the respondents used to purchase items on the web.

Of the 60 completed subjects, two interviews were disregarded because of missing responses. Thus, the study used data from the remaining 58 subjects (96.6% of the original sample).

This is actually a “convenience sampling” technique that was adopted as selecting five companies as five clusters and then ten to fifteen respondents from each company.

Method

Analysis and testing of the hypothesis in this research is done on Statistical Package for Social Sciences (SPSS Statistics 17.0) throughout.

Before going into the process of actual testing of hypothesis, it was required to check the reliability of data that has been collected to draw the results. In reliability test, we check the internal consistency of a set of variables in what it is intended to measure.

In this study, a principle of testing is based on the measurement of Cronbach Alpha. The high value of the Cronbach alpha coefficients in Table 1 (pg. 31) indicates that the website attributes measures are reliable enough to proceed to further analysis.

There are several attributes defining each independent variable in a questionnaire. Each independent variable was measured by computing an average of all attributes related to the particular variable and thus resulting in five new computed independent variables. Similarly, the dependent variable “satisfaction” was also computed by an average of all customer satisfaction attributes in a data set.

The second step was to apply the log on these five independent variables which resulted in a set of again five new variables that behaved as final independent variables to be used in a regression model. This step was required to ensure the linearity of independent variables. Same was done with the dependent variable.

Since all of the hypotheses are related to association questions, therefore further analysis is done be the use of Linear Regression statistical technique.

Using stepwise regression, the study was further investigated by examining the “Multiple Regression Model” between the dependent variable that is the customer satisfaction termed as “satisfaction” in testing process and the five independent variables termed as “webStructure”, “webAdequacy”, “webSecurity”, “webResponse” and “webCustomization”.

Results

Only two variable “webResponse” and “webCustomization” out of five independent variables are added to the model as a result of “stepwise linear regression” test. In step-1, “webResponse” and in step-2 “webCustomization” was added as shown in Table 2 (pg. 33).

In general, the value of R can range from -1 to +1 with +1 indicating perfect positive relationship, 0 indicating no relationship and -1 indicating perfect reverse relationship. Therefore, as per the values of R in Table 3 (pg. 33), both selected variables shows positive relationship with “satisfaction”. Moreover, according to the Table 3 (pg. 33), values are R=0.513 and R=0.560 for webResponse and webCustomization respectively. Keeping in mind the highest value of R, this relationship is neither weak nor quite strong.

From the values of R square in Table 3 (pg. 33), the combined variance explained by both variables is 31.4% out of which 26.3% variance of satisfaction is explained individually by webResponse and only 5.1% variance in satisfaction explained by webCustomization. Rest of the 68.6% unknown variance is due to other factors. This is a very less percentage of explained variance so the model is not a very good model.

Satisfaction = -0.441 + 0.461 webResponse + 0.180 webCustomization

The Tolerance shown is 0.833 in Table 4 (pg. 34) which is quite close to 1 which indicates minimal collinearity among independent variables. This means that the selected two independent variables are not highly correlated with each other which is generally considered as a positive sign for a good model, though the model is not very strong in terms of the variance explained by independent variables.

The step 2 results indicate the final rejected variables in Table 5 (pg. 35) which shows that two variables are selected and 3 are rejected. The key to accept and reject the hypotheses is the value of significance. If sig. value is less than 0.05 we reject H0 and accept the hypothesis otherwise we accept Ho. On the basis of Sig. values belong to each of the three variables shown in step 2 of Table 5 (pg. 35); three hypotheses (H1, h3 and h3) have been rejected while two hypotheses (H4 and H5) stand not accepted.

Hypotheses Assessment Summary

Hypotheses have been tested on the basis of Table 5 (pg. 35) which shows that two variables are selected and 3 are rejected. Therefore two hypotheses (H4 and H5) stand out accepted while three hypotheses (H1, h3 and h3) have been rejected.

Conclusion

 Discussion:

After visiting five web development companies in Karachi and getting 60 questionnaires filled to determine the important website elements of e-commerce that influence customer to visit and shop from e-commerce websites.

For this research work, many of the website attributes were taken based on five SERQUAL dimensions. These attributes were re-labeled to more comprehensively cater for the uniqueness of e-commerce websites. Then, the information about all these variables was collected through a questionnaire, which consists of structured questions using a 5 point Likert scale.

Based on the Cronbach Alpha's value 0.700 in Table 1 (pg. 31), the date set has been considered reliable for the further testing an processing.

Then the Multiple Regression Model was applied on the data set to check the significance level of all the selected variables, it was found that two variables webResponse and webCustomization has a significant association with customer satisfaction.

The result of study shows the weak relationship among the selected hypotheses as well. The value of R square can vary between 0 and 1. Higher value of R square implies the greater explanatory power and better predict the dependent variable. The value of R square for both independent variables in Table 3 (pg. 33) implies positive but weak association.

Finally, the results of the study have shown a positive response from customers in terms of satisfaction only with the responsiveness and empathy dimensions of service quality.

During the study, it was found that respondents believed that the other three website attributes are not appealing with the perspective of customer satisfaction. Although these attributes are important service quality dimensions which leads to the customer's satisfaction and are essential part of e-commerce websites. Therefore, it can be stated that a large sample of data might have drawn some other results.

Implications

The identification of major website attributes in e-commerce provides a solid structure to guide further e-commerce research. By understanding that customers view website response and website customization as two main components of website in e-commerce systems, researchers as well as website builders are better able to develop e-commerce websites.

The connection between these relationship attributes of e-commerce and customer satisfaction that was shown in this study implies the importance of including relational type characteristics in customer-e-commerce interaction research.

A major contribution of this research is that it defines areas on which web development professionals need to focus in design and development of an e-commerce system in order to get their customers satisfied with the service quality of the system and develop more successful e-commerce systems.

Insight to what the customer expects from an interaction with an e-commerce website assist designer/developers/architects to better understand how to facilitate customer relationships through the development of proficient e-commerce website. By developing features to meet and exceed customer expectations, the e-commerce enhances both customer satisfaction and customer relationships. This research has recognized two website attributes as important attributes the customer expects while interacting with an e-commerce website.

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