motivation to use search engine: a two-factor model ling-ling wu ( 吳玲玲) department of...
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Motivation to Use Search Engine: A Two-Factor ModelLing-ling Wu ( 吳玲玲)Department of Information Management, National Taiwan University
Background
Information seeking on the InternetOne of the most important motivation
to use the Internet Function of search engines:
Use queries to retrieve information Problem of using search engine:
QueryToo many results
Research Problem
Motivation to use search engines: Low switching cost: attract or retain?
Attract: To decide to try on a search engine in the
first place Retain:
To continue using the same search engine
Are these two kinds use motivation affected by different factors?
Two factor theory
Herzberg: job motivation Hygiene factors: fulfill basic physiological needs
lead to job dissatisfaction Motivation factors: fulfill higher level psychological needs
lead to job satisfaction On-line shopping (Liang & Lai, 2002):
Hygiene factors: critical when consumers decide whether to shop electronically
Motivation factors: critical when consumers choose among different electronic stores
Web site design (Zhang & Dran, 2000): Hygiene factors: dis-satisfiers Motivation factors: satisfiers
Two factors for search engine use motivation Hygiene factors
Functions to fulfill basic search needs Critical to user’s first impression of the search
engine Important for users to decide whether to use
the search engine Motivation factors
Functions to fulfill advanced search needs Helpful to the post-search activities Critical for users to continue using the same
search engine
Hygiene factorsRecall – Results are not what users want
Response time – Long time to wait for the results
Percentage of advertisements – Too many ads and unnecessary information on the screen
Precision – Too many irrelevant and useless results
Validity of links – Results are usually not accessible or removed
System stability
Recency – Database is updated frequently
Diversity of result sources – Several results are from the same website
Use instruction – Use instruction is not clear
Number of results – The number of results is not large enough
Consistency of search result presentation – No consistent format fro each result
Accessibility of documentation – Difficult to find the use instruction
Search instructions – No search examples in the use instruction
Motivation factors
Readability of search results – Results are easy to read
Understandability of the summary of search results – The summary helps user to decide whether s/he needs the result
Ranking – The ranking meets user’s needs
Multimedia search – Allow users to search different types of information (E.g., text, image, audio, video, etc.)
Highlighting the important information of search results by different font, font size, or color (E.g., title, relevance, etc.)
Multi-language search – Allow users to search within a specific language
Advanced search – Easy to use advanced search functions
Search tips – Providing improving tips when the search results are not satisfying
Browse catalogs in addition to search functions
Presenting the total number of the search results
Hypotheses
Hypothesis 1: Hygiene factors and motivation factors have different degrees of effects on attracting and retaining users of search engines.
Hypothesis 2: Hygiene factors are more powerful to attract users than motivation factors, while motivation factors are more powerful in retaining users than hygiene factors.
Research Procedure Sample: 804 surveys collected on the web, 758
valid (94.3%) Material:
Computer, internet and search engine use experience List of factors affect motivation to use a search engine
Task of respondents: (check out the factors on the list) Choose the factors that will make them decide whether
to use a search engine (negative terms) --ATTRACT Choose the factors that will make them want to continue
using the same search engine (positive terms) --RETAIN Data Collection: respondents recruited and
answered survey on the Internet, incentive
Sample Demographics
Sample in this research Survey from Yam.com
Description Frequency (%) Description %
Age 1 = 17 years or younger
3 0.40%19 and younger 14%
2 = 18-23 years 483 63.72% 20-24 19%
3 = 24-29 years 237 31.27% 25-29 24%
4 = 30-35 tears 25 3.30% 30-34 17%
5 = 36-40 years 7 0.92% 35-39 12%
6 = 41-46 years 1 0.13% 40-44 7%
7 = 47 years or older
2 0.26%45 and older 6%
Gender 0 = Male 355 46.83% Male 41%
1 = Female 403 53.17% Female 59%
Sample Demographics
Sample in this research Survey from Yam.com
Description Frequency (%) Description %
Education 1 = Elementary school
2 0.26% Elementary school and under
3%
2 = Junior high school
2 0.26%Junior high school 4%
3 = Senior high school
13 1.72%Senior high school 22%
4 = College 516 68.07% College 62%
5 = Master 218 28.76% Master and higher 9%
6 = Ph.D. 7 0.92%
Occupation
0 = Not student 224 29.55% Not Student 75%
1 = Student 534 70.45% Student 25%
Results
0
100
200
300
400
500
600
700
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Factor of search engine use, which are numbered the same as Table 2.
Fre
quen
cy
Attract
Retain
Hygiene factors
FactorsFrequency
(attract/retain)
z p
(1) *** Recall 658 / 607 -3.52 <.001
(2) *** Response time 649 / 544 -6.59 <.001
(3) *** Percentage of advertisements 600 / 484 -6.6 <.001
(4) *** Precision 526 / 0 -28.4 0
(5) *** Validity of links 523 / 373 -7.84 <.001
(6) *** System stability 514 / 432 -4.35 <.001
(7) Recency 432 / 405 -1.39 .082
(8) *** Diversity of result sources 410 / 324 -4.42 <.001
(9) *** Use instruction 366 / 283 -4.31 <.001
(10)*** Number of results 320 / 270 -2.63 .004
(11)*** Consistency of search result presentation
318 / 265 -2.8 .003
(12) Accessibility of documentation 154 / 136 -1.18 .12
(13) Search instructions (E.g., Search example)
84 / 116 2.43 .992
FactorsFrequency
(attract/retain)
z p
(14) Readability of search results 393 / 411 -0.92 .177
(15) Understandability of the summary of search results
388 / 375 -0.67 .252
(16)*** Ranking 326 / 371 -2.31 .01
(17)*** Multimedia search (E.g., text, image, audio, video, etc.)
213 / 333 -6.42 <.001
(18) Highlighting the important information of search results by different font, font size, or color (E.g., title, relevance, etc.)
292 / 281 -0.58 .28
(19) Multi-language search 297 / 271 -1.38 .084
(20)*** Advanced search 209 / 254 -2.50 .006
(21) Search tips for improving the search results
214 / 222 -0.45 .325
(22)*** Browse catalogs in addition to search functions
0 / 160-
13.37<.001
(23) Presenting the total number of the search results
123 / 139 -1.80 .139
Motivation factors
Discussion and Managerial Implications Hypotheses are supported. Motivation factors are …
Also important for motivating usersRelated to post-search activities
to facilitate evolving search (Search and browsing occur by turns)
Critical to develop competitive advantages
Information control of information categorization structure for browsing Hierarchical structure: Multi-faceted structure: Mixed structure?