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A Preliminary Study on Students' Perception of SMS Banking:
A Case at The Labuan International Campus-University Malaysia Sabah
Journal of Internet Banking and Commerce, December 2005, vol. 10, no.3
(http://www.arraydev.com/commerce/jibc/)


By Hanudin Amin, Suddin Lada, Mohd Rizal Abdul Hamid and Geoffrey H. Tanakinjal Labuan International Campus-University Malaysia Sabah

Correspondent author: Hanudin Amin, Labuan School of International Business and Finance, Labuan International Campus- Universiti Malaysia Sabah, P.O. Box 80594, 87015 Labuan Federal Territory. Tel: 087-466718, Fax: 087-460477, E-mail: hanudin_zu@yahoo.com


Abstract

Mobile phones are crucial for those who are busy with daily routine activities, especially those who are employed as well as students. The objective of this study is to identify the key points which are relevant to the students perceptions of SMS banking by the use of a survey conducted during July C September 2005. This research used university students as the sample, namely from Labuan International Campus-Universiti Malaysia Sabah. In this paper, a total of 317 students were approached which was considered as a preliminary way to observe their perceptions of SMS banking. Through various SPSS analyses, we discovered that 38 percent of male respondents and 61 percent of the female respondents know what SMS is. Surprisingly, only female respondents used SMS banking with 0.95 percent, which is consistent with the study by Laforet and Li (2005) and Howcroft, Hamilton and Hewer (2002). Findings also discovered that all of the socio-demographic elements have their own level of significance. In general, it can be concluded that students perceptions were not homogeneous and an education level was insufficient to explain the SMS banking usage among the respondents.


INTRODUCTION

The need for mobile banking has been given considerable attention by many researchers (for example, Karjaluoto, Koivumaki, and Salo, 2002; Mattila, 2003; Suoranta and Mattila, 2004; Laforet and Li ,2005; Riivari, 2005). The topic of mobile banking has become important for academics, practitioners and students. Exploring such information will help banks to identify students perception toward SMS banking which will be crucial for the selection of banks services by students.

There are two questions that need to be posed in order to understand SMS banking. Firstly, what is SMS banking in the first place? SMS banking can be defined as a banking transaction conducted using a mobile phone via an SMS application. SMS stands for short message services. Bank Islam Malaysia Berhad (BIMB), Bank of Commerce (BCB), Maybank to name a few have introduced such an application. Introduction for SMS has taken place due to competition among banking institutions as well as non- financial institutions. Secondly, why do people use SMS banking? There are four points, which can be highlighted here. First, the growing population of mobile phone users in Malaysia can be taken as a good indicator, which will also affect mobile phone application for banking purpose (see appendix). Second, a mobile phone can act as a new platform to inform others regarding information dissemination. Third, internet/online servers supports it. Fourth, it is flexible.

This field of research is very new in Labuan and in Malaysia as well. In fact, the potential of SMS banking is very obvious in Malaysia. As noted earlier, a dramatic increase in the number of mobile phone usage among Malaysian can be become as a yardstick to promote SMS banking as part of banks service (see appendix). According to statistics provided by Suruhanjaya Komunikasi dan Multimedia Malaysia (hereafter SKMM), the usage of SMS has drawn a dramatic increment in recent year. It stated that about 3.6 billion of SMS were sent in 2002, whereas in year 2003 the number of SMS increased to 6.1billion, 69 percent increment. In addition, on ownership of mobile phone, it has displayed an obvious increment. For example in 1998 total individuals with mobile phones were 2.15 million.

RESEARCH OBJECTIVES AND HYPOTHESES

This study was considered as a preliminary study where it may consist of basic results of the study that was undertaken. In order to achieve this, five objectives were verified: 

   To determine students perceptions of SMS banking based on race;

   To determine students perceptions of SMS banking based on gender;

   To determine students perceptions of SMS banking based on schools;

   To determine students perceptions of SMS banking based on age; and

   To determine students perceptions of SMS banking based on religion

In line with the objectives of the study, five null hypotheses were verified:

   There is no significant relationship between students perception over SMS banking exhibited by race discrepancy.

   There is no significant relationship between students perception over SMS banking exhibited by male and female.

   There is no significant relationship between students perception over SMS banking exhibited by schools.

   There is no significant relationship between students perception over SMS banking exhibited by age discrepancy.

   There is no significant relationship between students perception over SMS banking exhibited by religion discrepancy.

LITERATURE REVIEW

There are several articles that can be considered as related to the present study namely the study conducted by Al Ashban and Burney (2001),  Howcroft et al. (2002), Karjaluoto et al. (2002), Mattila (2003), SKMM (2004), Suoranta and Mattila (2004), Laforet and Li (2005) and Riivari (2005). The following discussion highlights some of the key findings of these studies.

Laforet & Li (2005) research on mobile and Internet banking has produced interesting findings. The important finding claimed that respondents level of education was not found to influence online and mobile banking adoption in China. In fact, as far as mobile banking is concerned, lack of understanding of its benefits was found significant. At least among the urban population surveyed, 33 percent used online banking and 14 percent used mobile banking. Thus, the level of awareness of such services was low in China.

A study conducted by Howcroft et al. (2002) revealed that younger consumers value the convenience or time saving potential of online and mobile banking more than older consumers. Younger consumers also regarded the lack of face-to-face contact as less important than older consumers. Another important finding as highlighted by Howcroft et al. (2002) further found the educational levels of respondents did not affect the use of telephone or online banking.

According to study reported by SKMM (2004), a mobile phone was considered as a necessity good instead of communication tool. Findings indicated that younger user equal to 12.3 percent of the total utilization, which is beyond the respondents, aged 50 (9 percent). Younger user for this study means teenagers (aged 15-25), consisting of secondary students and university students. Another important finding revealed that Malay teenagers were higher user among the other races comprising of 47.50 percent compared to Chinese (32.4 percent), Indian (6.9 percent) and other bumiputra (5.4 percent).

A study conducted by Mattila (2003) discovered that respondents aged 18-34 are considered as the population actively using mobile phones for banking purposes.  Findings of this study also indicated that pay bills cheaper, have faster data transmission rate, authenticate with mobile phone to internet bank are considered as the main factors why they used mobile phone for banking transactions.

A study conducted by Karjaluoto et al. (2002) investigated the bank customers perception about private banking in Finland during the summer of 2000. The researchers claimed that the consumer segments of private banks in Finland could be classified into two categories. First, low frequency users main channel for banking is the branch and telephone to access accounts, meaning that they bank online rarely (around 1-3 times a month). Second, high frequency users main channel for banking is the Internet, meaning that they bank online on a weekly or even daily basis. Results imply statistically significant differences (p<0.01) in age t (640)=6.632, education t (635)=-4.094, income t (609)=-5.615 and profession t (75.38)=7.607. Finding also indicated that high frequency users for mobile phone, Internet bank, ATM and others were those aged around 35-49 were amounted 281, which were considered as profitable segment for banks.

Among other purposes, Al-Ashban et al.s (2001) study was designed to investigate customer adoption of telephone-based banking. Generally, the study discovered that 87 percent of the respondents have an education higher than diploma, which was also parallel with the use of the service to be 72 percent during the past three years, 40.2 percent of them having started using tele-banking services less than one year. Other studies by Suoranta and Mattila (2004) and Riivari (2005) claimed that mobile phone banking were very sophisticated and considered as the newest channels to conduct banking electronically.

METHODOLOGY

The sampling design was through convenience random sampling, which involved 317 of the respondents at that universitys campus. The populations of students amounted to approximately 1920. In this regard, students were chosen as a sample of the study because of two reasons. First, they are mostly intelligent in understanding current issues relating to mobile phones. Second, they mostly use SMS for communicating with friends and family. In fact, students have a potential to be banks predominant consumers in the future in using SMS banking. Thus, it is interesting to investigate their perceptions toward SMS banking which will affect banks effort in educating students about SMS banking. The sample size includes 317 respondents, as the set of questionnaires (317 set of questionnaires) were given to them randomly. The data for this study was collected through self-administered questionnaires distributed by the researchers. The questionnaire contains three sections: the first section was designed to gather the respondents personal and demographic characteristics. The second part was designed to gather the respondents awareness and usage for SMS banking. The last part was designed to gather the respondents expectation and perception. By studying the sample, the researchers were able to draw conclusions that would be generalizable to the population of interest. Indeed, the researchers performed a number of chi-square tests to observe any significant relationship between socio-demographic elements with students perception (Part II and Part III).

FINDINGS

Table 1: Chi-Square Tests

 

PART II

Race [DF=4]

Gender [DF=1]

School [DF=1]

Age [DF=2]

Religion [DF =3]

Q1

90.61***

9.39***

1.73

0.30

18.43***

Q2

1.69

0.35

0.02

0.20

2.45

Q3

8.66

0.442

0.82

13.99***

4.78

Q4

35.84***

18.11***

8.01***

1.42

38.62***

Q5

98.90***

2.78

49.45***

21.95***

98.65***

Q6

19.72***

2.77

0.04

0.68

18.82***

Q7

20.04***

16.23***

0.03

1.66

15.05***

Q8

3.59

1.97

0.86

0.150

3.83

Q9

28.31***

0.404

4.84*

12.45***

6.94

Q10

3.85

0.10

1.03

3.30

3.02

PART III

Race [DF=16]

Gender [DF=4]

School [DF=4]

Age [DF=8]

Religion [DF=12]

Reliability

23.25

5.68

31.23***

44.77***

39.23***

Security

36.38***

5.71

17.69***

27.44***

24.40*

Time and cost saving

26.68*

20.604***

5.20

55.93***

33.67***

Advance technology

48.17***

5.46

17.27***

13.24

67.20***

Punctuality

54.29***

8.25

4.03

21.67**

37.87***

Educating customers

48.57***

11.31*

6.58

26.53***

35.20***

Customer friendly service

52.13***

4.56

6.90

11.59

31.77***

Effectiveness

37.38***

11.95*

7.29

21.71**

18.88

Source: Sample survey

Note: * Significant at 0.05, ** Significant at 0.01, *** Significant at 0.005

According to the table above, for Part II as the relationship between items Q1, Q4, Q5, Q6, Q7 and Q9 and race were significant, the null hypotheses were rejected. Thus, race discrepancy may explain the differences can be observed through item Q1, Q4, Q5, Q6, Q7 and Q9. Part III the relationship between item security, time and cost saving, advance technology, punctuality, educating customers, customer friendly service and race were significant, and therefore the null hypotheses are rejected. In fact under race for Part II, for Q1, Malays were in the majority with 105 of the total respondents which is consistent with the research conducted by SKMM, followed by Chinese, Indians, Sabahan and Sarawakian. Also under Part III, for item security 58 Chinese respondents indicated this item to be very important with 18.30 percent, followed by Malays with 17.03 percent and Sabahan 17.98 percent. Overall, Part II and Part III were found to be significant with race discrepancy.

The relationship between gender and various items in the Part II and Part III were observed to be significant. Among the items in the Part II to be significant were Q1, Q4, and Q7. Under these items, Q1 majority of the female respondents who participated in this study answer yes which is 60.57 percent, only 37.54 percent of the male responded to the same item. For Q4, only 13.56 percent of the male respondents aware about Islamic banking liberalization in Malaysia. Female respondents were more conscious with 35.65 percent. Q7 has the same pattern with Q4 where female respondents heard about the use of mobile phone for SMS banking were 42.27 percent, male respondents with 18.61 percent. Under Part III, only time and cost-saving, educating customers and effectiveness discovered to be significant at 0.005, 0.05 and 0.05 respectively. It means that there is a significant difference that can be observed between those three elements and gender.

Under school, for Part II only three elements were discovered to be significant namely Q4, Q5 and Q9. Part III revealed that the same pattern as Part II where only three elements observed to be significant namely reliability, security and advance technology.

The relationship between various items and age also produced interesting results. The chi-square test yielded statistically significant differences between the age groups in each items of the questions in Part II and Part III. Result imply statistically significant differences for Part II, items Q3, Q5 and Q9 were found to be significant to age at 0.005 (observed value of chi square, 13.99, 21.92 and 12.45 respectively), the observed value of chi-square is greater than the critical value of chi-square, 10.5966, hence the null hypothesis was rejected. Whereas for Part III there were six elements have significant relationship to age namely reliability (p<0.005: observed value of chi-square, 44.77>21.9550), security (p<0.005: observed value of chi-square, 27.44>21.9550),time and cost saving (p<0.005: observed value of chi-square, 55.93>21.9550), punctuality(p<0.01: observed value of chi-square, 21.67>20.0902), Educating customers (p<0.005: observed value of chi-square, 26.53>21.9550) and effectiveness (p<0.01: observed value of chi-square, 21.71>20.0902). Again, the null hypothesis was rejected.

Last but not least, the relationship between religion groups in each items of the questions discovered to produce a variety of results. It found that five elements for Part II significant at 0.005 namely (Q1: observed value of chi-square, 18.43), (Q4: observed value of chi-square, 38.62), (Q5: observed value of chi-square, 98.65), (Q6: observed value of chi-square, 18.82) and (Q7: observed value of chi-square, 15.05). These observed values are greater than critical value of chi-square, 12.8381. Therefore the null hypothesis was rejected. Whereas for Part III, the relationship between various items and religion produced seven elements to be significant named reliability (p<0.005, observed value of chi-square, 39.23 > critical value of chi-square, 28.2995), security (p<0.05, observed value of chi-square, 24.40 > critical value of chi-square, 21.0261), time and cost saving (p<0.005, observed value of chi-square, 33.67 > critical value of chi-square, 28.2995), advance technology (p<0.005, observed value of chi-square, 67.20 > critical value of chi-square, 28.2995), punctuality (p<0.005, observed value of chi-square, 37.87 > critical value of chi-square, 28.2995), educating customers (p<0.005, observed value of chi-square, 35.20 > critical value of chi-square, 28.2995) and customer friendly service (p<0.005 observed value of chi-square, 31.77 > critical value of chi-square, 28.2995). Thus the null hypothesis was rejected.

Overall, the results clearly addressed the students perception of SMS banking in terms of demographic elements. There are individual differences have found in this study, meaning that they have difference perception for the new products and services offered by commercial banks in Malaysia.  The results also consistent with the study conducted by Karjaluoto et al. (2002) claimed that socio-demographic elements such as gender, age, marital status, education, income level and profession as noted earlier are significant at 0.001. This will give us a signal that students market segment can be regarded differently in accordance to demographic elements. The next step will be an action by banks for customers market segmentation to increase more participation among younger users for SMS banking.

CONCLUDING REMARKS

The relationship between Part II: awareness and usage variables and Part II: expectation and perception variables with the socio-demographic elements (i.e race, gender, school, age and religion) were discovered clearly in this study. This paper could provide a general guideline to bankers about students attitude may differ according to age, gender, education, religion and school when perceiving mobile phone as a new channel for banking transaction. This is consistent with Howcroft et al. (2005), whose study showed that financial providers cannot assume that consumers are homogeneous in terms of their attitudes towards home banking. Thus it is extremely important to enable bankers to target specific segments of the customer base with messages aimed at changing consumer attitudes and ultimately their perception.

According to the findings, 0.32 percent of the India, Sabahan and Sarawakian respondents used their mobile phone for SMS banking. Under religion, only students from Buddhist, Hindhu and Christian used their mobile phone for SMS banking with a small percentage 0.32 percent each of the respondents. A similar pattern also occurred to age, school and gender. This reflected the low understanding on the benefits that could be extracted from mobile phone SMS banking due to difference perceptions can be observed through this study. Again, this result is consistent with Laforet and Li (2005), which claimed that lack of understanding the benefit of mobile banking, was found to be significant.

In fact, a high level of education cannot be used as a benchmark to assume students most likely use SMS banking as indicated by the present finding which is consistent with Howcroft et al. (2005). However this in contrast with Al Ashban, et al. (2001) which claimed that 72 percent of the respondents which used telephone-based banking have an education higher than diploma, the discrepancy with the present study due to the respondents were employed.  Under Part II of the questionnaire, respondents were required to give their expectation of what they want from banks when it offers new services. It discovered that time and cost-saving was ranked very important among the respondents (mean=4.56), which was parallel with the study conducted by Howcroft et al. (2005).

Like other studies this study also has it own limitation since it only use students as the sample of the study, which may have an affect on the generalization of the results. Thus, in the future a larger sample should be incorporated that may consist of general population, which will perhaps produce interesting findings. Indeed, this study was developed only in Labuan, in an offshore banking center where the results may differ compared if conducted in other locations.

References

Berita Harian. (2004), Telefon bimbit jadi pilihan utama, Retrieved December. 21, 2004, from the World Wide Web : http:www.bharian.com.my.   

Howcroft, B., Hamilton, R., & Hewer, P. (2002), Consumer attitude and the usage and adoption of  home-based banking in the United Kingdom, International Journal of Bank Marketing, Vol. 20, No. 3, pp. 111-21.

Karjaluoto, H., Koivumaki, T., & Salo, J. (2002), Individual differences in private banking: Empirical evidence from Finland: Proceedings of the 36th Hawaii International Conference on System Sciences.

Laforet, S., & Li, X. (2005), Consumers attitudes towards online and mobile banking in China, International Journal of Bank Marketing, Vol. 23, No.5, pp.362-380.

Mattila, M. (2003). Factors affecting the adoption of mobile banking services. Journal of Internet Banking and Commerce, June 2003, 8 (1).

Al Ashban, A., & Burney, M.A. (2001), Customer adoption of tele-banking technology: The case of Saudi Arabia, International Journal of Bank Marketing, Vol. 19, No.5, pp.191-201.

Ricard, L., Prefontaine, L., & Sioufi, M.(2001), New technologies and their impact on French consumer behavior: an investigation in the banking sector, International Journal of Bank Marketing, Vol. 19, No.7, pp.299-311.

Suoranta, M., & Mattila, M. ( 2004), Mobile banking and consumer behavior: New insights into the diffusion pattern, Journal of Financial Services Marketing, Vol. 8, No. 4, pp.354-366.

Riivari, J. (2005), Mobile banking: A powerful new marketing and CRM tool for financial services companies all over Europe, Journal of Financial Services Marketing, Vol. 10, No.1, pp.11-20.

Appendix

Figure 1:   Theoretical framework 

 According to the figure above, it shows and explains that students awareness and usage as well as their expectation and perception for new products are the key elements affect their level of perception to SMS banking. These elements have been identified as Independent Variable (IV) and will be used in the study in order to discover students perception, which is signed as dependent variable (DV).

 

Table I: Internet users and mobile phones

 

<

Year

Internet users (per 1,000 people)

Mobile phones (per 1,000 people)

1990

NA

5

1991

NA

7

1992

0

11

1993

0

18

1994

1

29

1995

1

50

1996

9

72

1997

23

92

1998

69

101

1999

128

137

2000

214

220

2001

266

313

2002

320

377

2003

344

442

 Source: http://devdata.worldbank.org

 

Table II: Malaysian Population and television sets

 

Year

Population ages 15-64 (% of total)

Population, total

Television sets (per 1,000 people)

1990

60

18201900

149

1991

60

18,656,950

149

1992

60

19,127,100

149

1993

60

19,609,110

156

1994

60

20,103,260

163

1995

60

20,609,860

169

1996

61

21,129,230

165

1997

61

21,667,000

172

1998

61

22,180,000

182

1999

62

22,710,000

193

2000

62

23,270,000

193

2001

62

23,802,360

202

2002

62

24,304,578

210

2003

63

24,774,252

NA

 Source: http://devdata.worldbank.org

 

Table III: Urban population

 

Year

Urban population

Urban population (% of total)

1990

9,068,551

50

1991

9,441,387

51

1992

9,829,111

51

1993

10,230,386

52

1994

10,645,641

53

1995

11,075,327

54

1996

11,509,979

54

1997

11,962,437

55

1998

12,408,956

56

1999

12,872,664

57

2000

13,361,401

57

2001

13,827,506

58

2002

14,283,072

59

2003

14,726,063

59

Source: http://devdata.worldbank.org

 

Table IV: Frequency Table Socio-demographic

 

Items

Frequency

Percent

Race

 

 

Malays

86

21.1

Chinese

75

23.7

Indians

38

12.0

Sabahan

100

31.5

Sarawakian

18

5.7

Gender

 

 

Male

79

24.9

Female

238

75.1

School

 

 

SPKAL

227

71.6

SSIL

90

28.4

Age

 

 

Less than 20 years

13

4.1

20-25

303

95.6

26-31

1

0.3

Religion

 

 

Islam

134

42.3

Buddhist

59

18.6

Hindhu

27

8.5

Christian

97

30.6

 

 

 

 Source: Sample survey

Table V: Frequency Table Awareness and usage

Items

Frequency

Percent

Q1

 

 

Yes

311

98.1

No

6

1.9

Q2

 

 

Yes

313

98.7

No

4

1.3

Q3

 

 

Yes

269

84.9

No

48

15.1

Q4

 

 

Yes

156

49.2

No

161

50.8

Q5

 

 

Yes

188

59.3

No

129

40.7

Q6

 

 

Yes

274

86.4

No

43

13.6

Q7

 

 

Yes

193

60.9

No

124

39.1

Q8

 

 

Yes

3

0.9

No

314

99.1

Q9

 

 

Yes

24

7.6

No

293

92.4

Q10

 

 

Yes

115

36.3

No

202

63.7

 Source: Sample survey

 

Table VI: Mean Expectation and Perception

 

Items

Mean

Rank

Time and cost saving

4.56

1

Advance technology

4.51

2

Effectiveness

4.50

3

Security

4.21

4

Customer friendly service

4.38

5

Educating customers

4.27

6

Punctuality

4.27

7

Reliability

4.21

8

 Source: Sample survey

 

Questionnaire

 

PART I: 1.0 Student background: Latarbelakang pelajar

 

Name/ Nama:_______________________________________________________

 

Race/ Bangsa:            a. Malay /Melayu            b. Chinese/Cina  c. Indian/India   

d. Bumiputra Sabah/Sabahan  e. Bumiputra Sarawak/Sarawakian

 

Religion/ Agama:        a. Islam/Islam      b. Buddhist   /Buddha c. Hindhu/Hindu  

d. Christian/Kristian

 

Age/ Umur:         a. below than 20/ bawah 20 tahun b. 20-25  c. 26-31      d.32-37 

e. More than 37/ lebih dari 37 tahun

 

Gender/Jantina: a. Male/Lelaki       b. Female/Perempuan

 

School/ sekolah: a. Labuan School of International Business and Finance (SPKAL)

    b. Labuan School of Informatic Sciences (SSIL)

 

 

PART II: 2.0 Awareness and usage: Kepekaan dan Penggunaan

 

 

Q1:Do you know what is SMS?/ Apakah yang dimaksudkan dengan SMS?

a.    Yes/Ya           b.    No/Tidak

 

Q2:Have you used your mobile phone for SMS purposes? / Pernahkan anda menggunakan telefon bimbit untuk tujuan SMS?

a.    Yes/Ya           b.    No/Tidak

 

Q3:Have you heard about the negative and positive implications brought by SMS?/ Pernahkah anda dengar tentang implikasi negatif dan positif SMS?

a.    Yes/Ya           b.    No/Tidak

 

Q4:Have you heard about the Islamic banking liberalization in Malaysia?/ Pernahkan anda dengar tentang liberalisasi perbankan Islam di Malaysia?

a.    Yes/Ya           b.    No/Tidak

 

Q5:Have you familiar with Islamic banks?/ Adakah anda mengetahui tentang bank-bank Islam?

a.    Yes/Ya           b.    No/Tidak

 

Q6:Have you familiar with commercial banks?/ Adakah anda mengetahui tentang bank-bank komersial?

a.    Yes/Ya           b.    No/Tidak

 

Q7: Have you heard about the use of SMS for banking?/ Pernahkah anda dengar tentang penggunaan SMS dalam perbankan?

a.    Yes/Ya           b.    No/Tidak

 

Q8:Have you used your mobile phone for SMS banking? Pernahkan anda menggunakan telefon bimbit anda untuk tujuan perbankan SMS?

a.    Yes/Ya           b.    No/Tidak

 

Q9:Do you know which Islamic bank that is extensively promoting SMS banking?/ Adakah anda tahu yang mana satu bank Islam di Malaysia menggunakan perbankan SMS?

a.    Yes/Ya           b.    No/Tidak

 

Q10:Do you know which commercial banks are using SMS for banking? Adakah anda tahu yang manakah bank-bank komersial yang mempraktikkan amalan perbankan SMS?

a.    Yes/Ya           b.    No/Tidak

 

 

PART III: 3.0 Expectation and perception:Jangkaan dan persepsi

 

 

Instruction: 5 very important: 1 very unimportant

 

Reliability of the new product/ kebolehpercayaan produk baru 1     2     3     4     5

 

Security is stressed/ keselamatan ditekankan                   1     2     3     4     5

 

Time and cost saving/ penjimatan kos dan masa        1     2     3     4     5

 

Advance technology/ kecanggihan technology                   1     2     3     4     5

 

Punctuality of the new product

/ ketepatan waktu produk ditawarkan                        1     2     3     4     5

 

Educating customers to use the new product/

mendidik pelanggan untuk mengguna produk baru           1     2     3     4     5

 

Customer friendly service/ perkhidmatan mesra pelanggan      1     2     3     4     5

 

Effectiveness/ Keberkesanan                               1     2     3     4     5