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Developing a Scale of E-Service Quality for Blog - ResearchGate

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issues are part <strong>of</strong> recovery service rather than core<br />

service.<br />

3) e-SQ affects satisfaction, purchase intention, and<br />

purchase.<br />

4) Technology readiness, a customer-specific construct,<br />

is related to the perceptions <strong>of</strong> e-SQ.<br />

In this research, the steps <strong>of</strong> Parasuraman, Zeithaml,<br />

and Malhotra[9]in developing a scale should be followed<br />

to make an empirical analysis <strong>of</strong> blog websites and to<br />

construct a scale. However, in view <strong>of</strong> the specialty <strong>of</strong><br />

blog websites and their distinction from attributes and<br />

considerations <strong>of</strong> common commercial websites, the<br />

dimensions and questions proposed by Parasuraman,<br />

Zeithaml, and Malhotra [9] will not be expanded or<br />

revised. Instead, a study will be made on literature<br />

concerning blog websites to find out the questions related<br />

to blog websites and further deduce the dimensions <strong>of</strong><br />

blog website service quality.<br />

B. <strong>Blog</strong>s<br />

Recently, many studies have been made on<br />

application, customer loyalty, customer satisfaction, key<br />

to success, and assessment index <strong>of</strong> blogs from different<br />

perspectives by adopting different theories or models, and<br />

some have explored the influence from different attributes<br />

or types <strong>of</strong> blogs. Yang [16] uses the factor analysis<br />

method to probe into users’ perceived credibility <strong>of</strong> blogs<br />

on news. Kim[17] proposes the blog phenomenonoriented<br />

Socio-Technical Systems (STS), and <strong>of</strong>fers the<br />

definitions <strong>of</strong> blog tool, blog users, blogosphere, and the<br />

structure chart <strong>of</strong> all blog components. Du and Wagner<br />

[18] proposes the weblog success categories based on the<br />

two dimensions <strong>of</strong> popularity rating and growth level <strong>of</strong><br />

blogs.<br />

Ip and Wagner[19]modified the Task–Technology Fit<br />

(TTF) and constructed a Needs–Technology Fit model<br />

(NTF model) <strong>for</strong> blog websites, and its dimensions<br />

include social needs, technology, NTF, and usage type.<br />

Hsu and Lin[20] explored the acceptability <strong>of</strong> blog<br />

availability from the perspective <strong>of</strong> technology acceptance,<br />

social influence, and knowledge sharing motivation, and<br />

found that social factors and attitudes could influence the<br />

intention to continue using blogs. Yang and Liu applied<br />

the language-action perspective to blogs and set up a new<br />

standard <strong>for</strong> online customer service.<br />

In the past studies, there was not any scale <strong>for</strong> blog<br />

service quality or which worked as a standard to measure<br />

the service provided by plat<strong>for</strong>m operators and bloggers.<br />

In particular, the contents and items <strong>of</strong> blog website<br />

service always change, increase, or decrease upon<br />

bloggers’ request. If the factor structure <strong>of</strong> service quality<br />

assessment scale could be determine, it will be beneficial<br />

<strong>for</strong> further use and updating <strong>of</strong> the scale.<br />

III. DESIGN OF SCALE<br />

In this study, variables are set according to e-SQ and<br />

questions in relevant literature about blogs. According to<br />

the findings <strong>of</strong> other scholars and various questionnaires<br />

on blogs, the author designed some questions <strong>for</strong> this<br />

study. There were initially 76 questions. To make these<br />

propositions more accurate and accord with reality,<br />

interviews were made with six blog plat<strong>for</strong>m managers to<br />

request them to give suggestions on the questionnaire and<br />

how to revise it. As a result, similar questions were<br />

combined into one, the depiction <strong>of</strong> titles was revised<br />

based on the managers’ suggestions, more important<br />

questions were added, and less important questions were<br />

deleted. Finally, a total <strong>of</strong> 54 questions were left. The<br />

questionnaires were then given <strong>for</strong> pre-testing to 37<br />

selected college students who have experience in building<br />

blog websites. The questions whose manner <strong>of</strong> asking was<br />

not suitable to users, those that seem to be directed at<br />

managers, and ambiguous questions were picked out <strong>for</strong><br />

further assessment. Next, the testees were asked to<br />

compare and appraise the importance <strong>of</strong> these questions;<br />

they were then revised and some questions were deleted.<br />

Finally, 39 questions were left.<br />

The author achieved the preliminary scale <strong>for</strong> blog<br />

website service, and adopted the online questionnaire as<br />

the tool <strong>for</strong> people to answer the questions. The<br />

questionnaire, which was <strong>of</strong>fered to users <strong>of</strong> blog websites,<br />

consisted <strong>of</strong> two parts. The first part required basic<br />

in<strong>for</strong>mation. Through this part, the author could have a<br />

good knowledge <strong>of</strong> users’ age, gender, occupation,<br />

educational background, residence, and so on. The second<br />

part was the rating scale <strong>for</strong> blog website service quality.<br />

In this part, Cronin and Taylor’s[21] argument was<br />

applied, and the service per<strong>for</strong>mance rated by users<br />

(customers) subjectively represented the service quality.<br />

The questionnaire adopted the five-point Likert scale<br />

where 5 = “Strongly Agree”, 4 = “Agree”, 3 = “Ordinary”,<br />

2 = “Disagree”, and 1 = “Strongly Disagree”.<br />

The questionnaire was placed in a fixed website on<br />

25th February 2009 (http://140.127.194.10/questionnair).<br />

The webpage was linked to e-mails, and was designed <strong>for</strong><br />

all blog users. By leaving a message or through e-mail, it<br />

asked blog users to assist in completing the questionnaire.<br />

Because there was a great number <strong>of</strong> sample objects in<br />

this study making it difficult <strong>for</strong> all <strong>of</strong> them to be<br />

measured accurately, the Purposive Sample <strong>of</strong> Non-<br />

Probability Sampling, which was suitable to the<br />

distribution <strong>of</strong> samples in this study, was adopted. In<br />

addition, a lottery draw was designed to motivate testees<br />

to complete the questionnaire and to reach more blog<br />

users and increase the recovery rate <strong>of</strong> questionnaires.<br />

IV. DATA ANALYSIS<br />

A. First collection and analysis <strong>of</strong> data<br />

For the first time, a total <strong>of</strong> 282 questionnaires were<br />

collected, among which 16 were invalid and 266 were<br />

valid. To reduce the number <strong>of</strong> questions, the 39 questions<br />

generated on the basis <strong>of</strong> the nine basic dimensions were<br />

categorized and a credibility analysis was made. Deleting<br />

the individual questions sharing common features with the

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