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7/30/2019 The Implementation of Mobile Bank Usage from marketing point of view in Jordan
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IntroductionSince the early seventies of the last century, the
subject of work stress, its causes, effects and
outcomes have attracted researchers in the fields
of psychology and organizational behavior. Many
studies were conducted in the Western countries,
but studies on Arab countries were limited. Such
studies were adopted under variety of names;
fatigue, tension, organizational stress, anxiety,
work stress, and managerial or job stressors(Sharon, 1999). These studies were conducted
under two assumptions; there is no job or
occupation without stress; and work stress has
negative effects on the individual body and
psychological health, causes the heart attacks,
high blood pressure, and frustration. The resulting
direct costs of work stress are: being late for work,
absenteeism, ceasing work, using extra employees,
low production and quality, charges of work injuries
and accidents, machines faults and material loss
during work, further to indirect costs resembling
in the going down of spirit morals, taking unsounddecisions, and bad work relations (Schaubroeck
and Derly, 1997). Otaibi (2000) mentioned that
studies published during the period 1990 to 1992
have increased eight times more than the ones
published during the 1970's. He also emphasized
that more than 300 scientific journals discussed
the problem of work stress in its different
publications during the last decade of the twentieth
century. In spite of that, the subject has not got
the sufficient concern in the Arabic publications
in the field of management.
Ahmad Mahmoud Zamil
1
THE IMPLEMENTATION OF MOBILE BANK
USAGE FROM MARKETING POINT OF VIEW
IN JORDAN
AbstractThe study aims at determine the effect ofthe implementation of Mobile Bank usage
from market ing point of view in JordanData have been processed and analyzedthrough the use of SPSS program inorder to obtain means, standard deviations,and percentages for the demographiccharacteristics of the sample. Moreover,analysis of variance (ANOVA) is conductedto test if there are any statistical evidencesof the existence of difference between
participants to the independent variables .The study revealed that there are strong
statist ical evidences that differences existbetween the Implementation of Mobile
Bank Usage from marketing point of viewof bank managers in Jordan. Thesedifferences are due to the following factors:The male feel more than the female in allvariables except variable 14 so, the malebank managers feel that theimplementation of Mobile Bank Usage asbank managers increase the Levels of trustof payment via E-techniques. Bankmanagers who works in banks with age ofbank 20 and above feel more than the onewho works in banks of age 10 less than
15 Years and those works in banks age of15 less than 20 Years feel more than 20and above of the implementation of
Mobile Bank Usage as bank managersincrease the Effic iency of timemanagement and Personality Contact.
Ke yw or ds : Jordan, Mobile Bank,Marketing.
1. Riyadh Community College, Faculty of
Administrative Science, King Saud
University, Riyadh, KSA.
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Ahmad Mahmoud Zam il
Problem of the StudyThe idea of setting out this study emerges to find answers for some important questions
such as;
Is there a relationship between implementation of Mobile Bank Usage from marketing
point of view of bank managers and personal variables: (Gender of bank managers,
Age of bank managers, Qualification of bank managers, Bank Branch Location,
Bank Age, and Years of experience in bank)?
Is there any contribution of the banks managers to the effects of this implementation?
Related Literature ReviewSylvie (2005) investigates the market status for online/mobile banking in China. With the
recent and forecasted high growth of Chinese electronic banking, it has the potential to
develop into a world-scale internet economy and requires examination.
Tommi Laukkanen (2007), compare customer perceived value and value creation between
internet and mobile bill paying service. The findings of the qualitative study, being more
depth than wide in nature, deserve to be quantitatively measured in future studies in order
to provide more generalisable results.
Ali Yakhlef (2001) explores the major Swedish banks adoption of the Internet with a view
to highlighting the ensuing changes in the way banks conduct their business and deliver
their services.
Mark (2003), reports on an international research study which explored the perceptions of
senior bankers in the UK, Sweden and the USA with regard to the use of the Internet as
a relationship marketing tool. There was unanimous agreement that the Internet had a
key role to play in relationship management but there was far less agreement about the
rates of customer adoption and the extent to which this could or should be influenced by
bank strategies.
Steve (2002), provides a case study of a small commercial bank attempting to develop
and execute a successful strategy by targeting small businesses and emphasizing customer
service and innovative technology.
Philip (2004), seeks to identify the types of incidents which cause consumers to switchbetween banks, the weighting of each incident on the switching decision, whether single
or multiple incidents influence switching decisions, and the extent to which switchers
explain the problems they have faced prior to exiting.
Caalin (2002), investigates and analyses the present situation of online banking in Romania,
and the appropriate strategies for the successful implementation and development of
online banking services in the Romanian context.
Bouchaib (2004), shows that there is a need for systematic studies on wireless risk assessment
and management. The implications of these findings for both researchers and practitioners
are discussed.
7/30/2019 The Implementation of Mobile Bank Usage from marketing point of view in Jordan
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Marcos (2006) shows how each of the leading mobile telecommunications groups in
Brazil employed a different strategy, both for entering into the fragmented market and for
participating in its subsequent consolidation. Attention is also drawn to the role of
government in determining market structure, not least in terms of its rationale for initially
fragmenting the market in order to encourage foreign investment.
Tommi Laukkanen (2007) ,provides new insights for decision makers in the electronic
retail sector and especially in banking. The results contribute information for banks'
marketing actions and provide indications to device producers of the need for a more
diversified supply of devices for diverse consumer groups.
Zakaria (2006), discuss the design and development of a mobile application using two
technologies known as software agent (SA) and mobile web services. Rich (2000), We
will be reached: the use of mobile telephony among Norwegian youth, Information
Technology & People, Vol 13, Issue 2, PP102 - 120.
The article examines the use of mobile telephones by teenagers in Norway. The data for
this study are based on two sources; first they draw on qualitative interviews with a
sample of 12 families with teenagers in the greater Oslo area. In addition, they use a
quantitative study of a national sample of 1,000 randomly selected teenagers.
Florin (2006), review the ways in which the regulation of the telecommunications sectorhas contributed to the economic development of the Romanian economy (as an example
of a transition economy).
Morna (2003), examined both innovative attributes and customers perceived risk in
order to understand customers behaviour and motivation toward this innovation. It has
advanced the theoretical frameworks of innovation and customers risk perception as
new attributes and risk dimensions were identified. The findings provide banking executives
with a better understanding of what are the perceived advantages and disadvantages of
3G mobile banking services, helping them to plan marketing strategies and promotion
approaches for 3G mobile banking services in the future.
V. Gruhn (2007), shows practitioners how to conduct a systematic analysis of business
processes regarding their optimization potential through mobile technologies. The analysis
was conducted with the aim of organizing business processes more efficiently in order to
realize cost savings. Therefore, a method introduced in this paper was used.
The Importance of the StudyThe subject of this study was selected for its theoretical and practical importance in the
field of marketing in general and mobile bank in particular. This importance arises from
the mobile bank great effects on banking systems. From the practical point of view, this
study attempts to draw the attention of the implementation of Mobile Bank Usage from
marketing point of view in Jordan. The study also contributes a bit in the structure of the
Arabian Library in this vital field.
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Ahmad Mahmoud Zam il
Objectives of the StudyThe study aims at determine the effect of the implementation of Mobile Bank Usage from
marketing point of view in Jordan on the different dimensions of the study (Gender of
bank managers, Age of bank managers, Qualification of bank managers, Bank Branch
Location, Bank Age and Years of experience in bank)
Hypotheses of the StudyH1: there are statistical differences between factors affecting the bank managers in the
implementation of Mobile Bank Usage from marketing point of view and the gender of
bank managers at
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for such purpose. The questionnaire consists of two parts: The first part included general
data of personal variables: Gender of bank managers, Age of bank managers,
Qualification of bank managers, Bank Branch Location, Bank Age, and Years of experience
in bank. The second part included (16) items representing causing factors of banks work
stressors.
Data Analysis MethodsStatistical Package for Social Sciences (SPSS) is used.
The following statistical methods for analysis are adopted: Descriptive statistics, to describe
the characteristics of the sample depending on frequencies, percentages, means, andstandard deviation, t-test and Tukey test for prior comparisons, ANOVA to measure
the effects of the independent variables on the dependent variable.
Validity and Reliability
Validity
Academic staff from the Jordanian universities as well as specialists in finance and
mobile bank has evaluated the questionnaire.
For further validity test, the responses of (19) individuals of the sample were tested and
evaluated.
ReliabilityReliability with composite measures is evaluated for the internal consistency through theCronbachs Alpha measure. The higher the Cronbachs Alpha value, the greater is the
internal consistency of the items, making up a composite measure. The Alphas for the
items are not below (0.77). Therefore, it can be concluded that the reliability of the
questionnaire is high.
Characteristics of the SampleTable (1) shows the sample distribution according to the demographic and job-related
variables. Figures show that the majority (59.1%) of the sample is males and only
(40.9%) are females. Moreover, most observations (37.5%) are from 30 years - less than
40 years.
As far as the qualification of bank managers, the table shows that (49) observations ofthe sample (55.7%) have Bachelor degree.
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Ahmad Mahmoud Zam il
Table 1: Sample Distribution in Commercial Banks
Variable Frequency %
Gender of bank managers:
Male 52 59.1 %
Female 36 40.9%
Age of bank managers:
Less than 30 years. 13 14.8%From 30- less than 40 years. 33 37.5%
From 40 less than 50 years. 21 23.9%
From 50 & above. 21 23.9%
Qualification of bank managers:
Diploma 18 20.5%
Batchelor 49 55.7%
Graduate study 21 23.9%
Bank Branch Location:
Amman 43 48.9%
Irbid 22 25%Zarqa 23 26.1%
Bank Age:
5 less than 10 Years. 12 13.6%
10 less than 15 Years. 18 20.5%
15 less than 20 Years. 31 35.2%
20 & above. 27 30.7%
Years of experience in bank:
1 - less than 3 years. 19 21.6%
3 less than 5 years. 20 22.7%
5 less than 7 years. 19 21.6%7 years & above. 30 34.1%
The ToolThe three- point Likert scale was used for each item in the questionnaire: agree given
(3) points, Neutral given (2) points, disagree given (1) points.
Statistical ResultsWhat are the major factors affecting the bank managers in the implementation of Mobile
Bank Usage from marketing point of view? It was found that there are positive attitudes
toward questions mentioned in table (2) because their means are above mean of the
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scale (2), also a quick review of the result in table 2 reveals clearly that variable (7) has
the highest mean value (2.7841) and this means that the respondents feel very strongly of
the Receiving SMS massages informing customers with any new develops.
Variable (1) has the least mean value (2.4659).
Table 2: Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
q1 88 1.00 3.00 2.4659 .74199
q2 88 1.00 3.00 2.6364 .60991
q3 88 1.00 3.00 2.7045 .52870
q4 88 1.00 3.00 2.7045 .52870
q5 88 1.00 3.00 2.7045 .55001
q6 88 1.00 3.00 2.7273 .54091
q7 88 1.00 3.00 2.7841 .46606
q8 88 1.00 3.00 2.6136 .63303
q9 88 1.00 3.00 2.7386 .53593
q10 88 1.00 3.00 2.7159 .52411
q11 88 1.00 3.00 2.6932 .55415
q12 88 1.00 3.00 2.7614 .52510
q13 88 1.00 3.00 2.6591 .60432
q14 88 1.00 3.00 2.6932 .55415
q15 88 1.00 3.00 2.6932 .55415
q16 88 1.00 3.00 2.6705 .58175
Valid N (list wise)
Hypothesis-1H1: There are statistical differences between factors affecting the bank managers in the
implementation of Mobile Bank Usage from marketing point of view and the gender of
bank managers at < 0.05
The independent sample t. test analysis was applied to test the hypothesis (summarizedin Table 3). The male feel more than the female in all variables except variable 14 so the
female bank managers feel the variables number 14 more than males in Levels of trust of
payment via E-techniques.
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Ahmad Mahmoud Zam il
Table 3: t-test for the Gender Variable
Group Statistics
Gender N Mean Std. Deviation Std. Error Mean
q1 1.00 52 2.6346 .62713 .08697
2.00 36 2.2222 .83190 .13865
q2 1.00 52 2.7308 .52824 .07325
2.00 36 2.5000 .69693 .11616
q3 1.00 52 2.8077 .39796 .05519
2.00 36 2.5556 .65222 .10870
q4 1.00 52 2.8077 .39796 .05519
2.00 36 2.5556 .65222 .10870
q5 1.00 52 2.8077 .44451 .06164
2.00 36 2.5556 .65222 .10870
q6 1.00 52 2.7885 .41238 .05719
2.00 36 2.6389 .68255 .11376
q7 1.00 52 2.7500 .47999 .06656
2.00 36 2.8333 .44721 .07454
q8 1.00 52 2.6346 .68682 .09524
2.00 36 2.5833 .55420 .09237
q9 1.00 52 2.7885 .41238 .05719
2.00 36 2.6667 .67612 .11269
q10 1.00 52 2.7692 .42544 .05900
2.00 36 2.6389 .63932 .10655
q11 1.00 52 2.7308 .48971 .06791
2.00 36 2.6389 .63932 .10655
q12 1.00 52 2.7308 .59788 .08291
2.00 36 2.8056 .40139 .06690
q13 1.00 52 2.7115 .53638 .07438
2.00 36 2.5833 .69179 .11530
q14 1.00 52 2.6731 .55026 .07631
2.00 36 2.7222 .56625 .09437
q15 1.00 52 2.7115 .57177 .07929
2.00 36 2.6667 .53452 .08909
q16 1.00 52 2.6731 .55026 .07631
2.00 36 2.6667 .63246 .10541
Hypothesis (2)H2: There are statistical differences between factors affecting the bank managers in the
implementation of Mobile Bank Usage from marketing point of view and the Age of bank
managers at < 0.05
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Table 4: ANOVA For the "Age of Bank Manager" Variable
ANOVA
Sum of Squares df Mean Square F Sig.
q1 Between Groups 4.012 3 1.337 2.559 .060
within Groups 43.886 84 .522Total 47.898 87
q2 Between Groups 1.130 3 .377 1.013 .391
within Groups 31.234 84 .372
Total 32.364 87
q3 Between Groups 5.184 3 1.728 7.586 .000
within Groups 19.134 84 .228
Total 24.318 87
q4 Between Groups 3.015 3 1.005 3.964 .011
within Groups 21.303 84 .254Total 24.318 87
q5 Between Groups 3.172 3 1.057 3.837 .013
within Groups 23.146 84 .276
Total 26.318 87
q6 Between Groups 3.974 3 1.325 5.180 .002
within Groups 21.481 84 .256
Total 25.455 87
q7 Between Groups 4.240 3 1.413 8.099 .000
within Groups 14.658 84 .175Total 18.898 87
q8 Between Groups 6.854 3 2.285 6.851 .000
within Groups 28.010 84 .333
Total 34.864 87
q9 Between Groups 2.460 3 .820 3.058 .033
within Groups 22.528 84 .268
Total 24.989 87
One Way Analysis Of Variance (ANOVA) were used to test the hypothesis, table (4) and
the results show that variables 3,4,6,7,8 and 16 are significant. Furthermore Tukey posttest,
used to find which level of Age of bank managers has higher result of the Tukey Test test
showed that those bank managers who are less than 30 years feel the strength of Personality
Contact
Efficiency of administrative costs Monitoring & following reports related to work. more
than from 50 & above years, and those whose ages are from 40 less than 50 years. feel
Receiving SMS massages informing customers with any new develops E-payment efficiency
Cost creation, maintenance & hire web site for processing E-Banking services more thanless than 30 years. (shown in Table 5).
cont......
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Ahmad Mahmoud Zam il
Table 5: Tukey Test For the " Age of Bank Manager " Variable
less than from 30- less from 40 less from 50 &
30 years than 40 years. than 50 years. above
Personality Contact less than 30 *
Efficiency of years
administrative costs from 30- less
than 40 years.
Monitor ing & fol lowing f rom 40 less
repor ts related to work. than 50 years.
from 50 &
above
Receiving SMS massages less than 30
informing customers with any years
new develops from 30- less
E-payment e ff ic iency than 40 years.
Cost creation, maintenance & from 40 less *hire web site for processing E- than 50 years.
Banking services. from 50 & above
Significant at (0.05) level
q10 Between Groups 2.696 3 .889 3.560 .018within Groups 21.202 84 .252
Total 23.898 87
q11 Between Groups 1.648 3 .549 1.840 .146
within Groups 25.068 84 .298
Total 26.716 87
q12 Between Groups 1.554 3 .518 1.940 .129
within Groups 22.434 84 .267
Total 23.989 87q13 Between Groups 3.434 3 1.145 3.393 .022
within Groups 28.339 84 .337
Total 31.773 87
q14 Between Groups 1.734 3 .578 1.943 .129
within Groups 24.982 84 .297
Total 26.716 87
q15 Between Groups 1.719 3 .573 1.925 .132
within Groups 24.997 84 .298
Total 26.716 87
q16 Between Groups 5.367 3 1.789 6.241 .001within Groups 24.077 84 .297
Total 29.443 87
Significant at (0.05) level
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Hypothesis (3)
H3: there are statistical differences between factors affecting the bank managers in the
implementation of Mobile Bank Usage from marketing point of view and the Qualification
of bank managers at < 0.05
One Way Analysis Of Variance (ANOVA) were used to test the hypothesis, table (6) and
the results show that variables 1, 2, 3, 4, 5, 6, 7, 8, and 14 are significant. Furthermore
Tukey posttest, used to find which level of Qualification of bank managers has higher
result of the Tukey Test test showed that those bank managers who have Graduate
study feel the Efficiency of time management, Capital expenditure via informationtechnologies Personality Contact, Efficiency of administrative costs and Efficiency more
than managers with Batchelor degree.
And those bank managers who have Graduate study feel the Monitoring & following
reports related to work, Receiving SMS massages informing customers with any new
develops, E-payment efficiency and Levels of trust of payment via E-techniques more
than managers with Diploma degree. (Shown in Table 7).
Table 6: ANOVA For the "Qualification of Bank Managers" Variable
ANOVA
Sum of Squares df Mean Square F Sig.
q1 Between Groups 4.831 2 2.415 4.767 .011
within Groups 43.067 85 .507
Total 47.898 87
q2 Between Groups 6.953 2 3.477 11.630 .000
within Groups 25.410 85 .299Total 32.364 87
q3 Between Groups 2.408 2 1.204 4.670 .012
within Groups 21.910 85 .258
Total 24.318 87
q4 Between Groups 2.481 2 1.241 4.830 .010
within Groups 21.837 85 .257
Total 24.318 87
q5 Between Groups 2.707 2 1.354 4.873 .010
within Groups 23.611 85 .278Total 26.318 87
q6 Between Groups 3.010 2 1.505 5.700 .005
within Groups 22.444 85 .264
Total 25.455 87
q7 Between Groups 3.106 2 1.553 8.360 .000
within Groups 15.791 85 .186
Total 18.898 87
cont....
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Ahmad Mahmoud Zam il
Table 7: Tukey Test for the "Qualification of Bank Manager" Variable
Diploma Batchelor Graduate study
Efficiency of time management Diploma
Capital expenditure Bachelor
via information technologies Graduate study *
Personality Contact
Efficiency of-administrative costs
Efficiency of database at any time
Monitoring & following reports related to work Diploma
Receiving SMS massages informing Bachelor
cus tomers w ith any new develops Graduate s tudy *
E-payment efficiency
Levels of trust of payment via E-technique
Significant at (0.05) level
q8 Between Groups 4.119 2 2.059 5.694 .005within Groups 30.745 85 .362
Total 34.864 87
q9 Between Groups 1.887 2 .943 3.471 .036
within Groups 23.102 85 .272
Total 24.989 87
q10 Between Groups .337 2 .168 .607 .547
within Groups 23.561 85 .277
Total 23.898 87q11 Between Groups .665 2 .332 1.085 .343
within Groups 26.051 85 .306
Total 26.716 87
q12 Between Groups 1.299 2 .650 2.434 .094
within Groups 22.689 85 .267
Total 23.989 87
q13 Between Groups .688 2 .344 .940 .395
within Groups 31.085 85 .366
Total 31.773 87
q14 Between Groups 2.639 2 1.319 4.658 .012within Groups 24.077 85 .283
Total 26.716 87
q15 Between Groups 1.141 2 .571 1.896 .156
within Groups 25.575 85 .301
Total 26.716 87
q16 Between Groups 1.557 2 .778 2.372 .099
within Groups 27.887 85 .328
Total 29.443 87
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Hypothesis (4)
H4: there are statistical differences between factors affecting the bank managers in the
implementation of Mobile Bank Usage from marketing point of view and the Bank Branch
Location < 0.05
One Way Analysis Of Variance (ANOVA) were used to test the hypothesis, table (8) and
the results show that variables 2, 3, 6, 7, 9, and 14 are significant. Furthermore Tukey
posttest, used to find which level of Bank Branch Location has higher result of the Tukey
Test test showed that those bank managers whose bank location in Amman City feel the
Capital expenditure via information technologies.Personality Contact, Monitoring & following reports related to work more than Zarqa
City, And those bank managers who Zarqa City feel the Receiving SMS massages informing
customers with any new develops, Efficiency of procedures transaction and Levels of
trust of payment via E-techniques more than Irbid City . (Shown in Table 9).
Table 8: ANOVA for the "Bank Branch Location" Variable
ANOVA
Sum of Squares df Mean Square F Sig.
q1 Between Groups 1.658 2 .829 1.524 .224within Groups 46.240 85 .544
Total 47.898 87
q2 Between Groups 3.569 2 1.785 5.268 .007
within Groups 28.794 85 .339
Total 32.364 87
q3 Between Groups 1.946 2 .973 3.696 .029
within Groups 22.372 85 .263Total 24.318 87
q4 Between Groups .616 2 .308 1.105 .336
within Groups 23.702 85 .279
Total 24.318 87
q5 Between Groups .086 2 .043 .139 .870within Groups 26.232 85 .309
Total 26.318 87
q6 Between Groups 3.541 2 1.770 6.867 .002within Groups 21.914 85 .258
Total 25.455 87
q7 Between Groups 2.149 2 1.075 5.453 .006
within Groups 16.749 85 .197
Total 18.898 87
cont....
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Ahmad Mahmoud Zam il
Table 9: Tukey Test for the" Bank Branch Location" Variable
Amman City Irbid City Zarqa City
Capital expenditure via information technologies. Amm an City *
Personality Contact. Irbid City
Monitoring & following reports related to work. Zarqa City
Receiving SMS massages informing customers Amman City
with any new develops.
Eff ic iency of procedures t ransaction I rb id City
Levels of trust of payment via E-techniques. Zarqa Ci ty *
Significant at (0.05) level
q8 Between Groups .642 2 .321 .797 .454within Groups 34.222 85 .403
Total 34.864 87
q9 Between Groups 2.901 2 1.450 5.582 .005
within Groups 22.088 85 .260
Total 24.989 87
q10 Between Groups 1.551 2 .776 2.950 .058
within Groups 22.347 85 .263
Total 23.898 87q11 Between Groups 2.137 2 1.068 3.695 .029
within Groups 24.579 85 .289
Total 26.716 87
q12 Between Groups 1.022 2 .511 1.890 .157
within Groups 22.967 85 .270
Total 23.989 87
q13 Between Groups 1.615 2 .807 2.275 .109
within Groups 30.158 85 .355
Total 31.773 87
q14 Between Groups 2.849 2 1.424 5.073 .008within Groups 23.867 85 .281
Total 26.716 87
q15 Between Groups .067 2 .033 .106 .899
within Groups 26.649 85 .314
Total 26.716 87
q16 Between Groups .431 2 .215 .631 .534
within Groups 29.012 85 .341
Total 29.443 87
Significant at (0.05) level
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Hypothesis (5)
H5: there are statistical differences between factors affecting the bank managers in the
implementation of Mobile Bank Usage from marketing point of view and the Age of bank
at < 0.05.
One Way Analysis Of Variance (ANOVA) were used to test the hypothesis, table (10) and
the results show that variables 1, 3, 8, 9, and 11 are significant. Furthermore Tukey
posttest, used to find which level of Age of bank has higher result of the Tukey Test test
showed that those bank managers whose works in banks the Age of bank 20 & above
feel more than 10 less than 15 Years and those works in banks age of 15 less than 20Years feel more than 20 & above of the Efficiency of time management and Personality
Contact.
And those bank managers works in banks the Age of bank 15 less than 20 Years feel
more than 10 less than 15 Years and those of 10 less than 15 Years feel more than 20
& above and 5 less than 10 Years feel More than 15 less than 20 Years of the E-
payment efficiency, Efficiency of procedures transaction and Comfort ability.
Table 10: ANOVA for Bank Age Variable
ANOVA
Sum of Squares df Mean Square F Sig.
q1 Between Groups 5.802 3 1.934 3.859 .012
within Groups 42.096 84 .501Total 47.898 87
q2 Between Groups 2.228 3 .743 2.070 .110
within Groups 30.135 84 .359
Total 32.364 87
q3 Between Groups 2.725 3 .908 3.534 .018
within Groups 21.593 84 .257
Total 24.318 87
q4 Between Groups 2.297 3 .766 2.921 .039
within Groups 22.021 84 .262Total 24.318 87
q5 Between Groups 1.603 3 .534 1.815 .151
within Groups 24.716 84 .294
Total 26.318 87
q6 Between Groups 2.264 3 .755 2.734 .049
within Groups 23.191 84 .276
Total 25.455 87
q7 Between Groups .583 3 .194 .891 .449
within Groups 18.315 84 .218Total 18.898 87
cont....
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Ahmad Mahmoud Zam il
q8 Between Groups 4.590 3 1.530 4.245 .008within Groups 30.274 84 .360
Total 34.864 87
q9 Between Groups 3.986 3 1.329 5.314 .002
within Groups 21.003 84 .250
Total 24.989 87
q10 Between Groups 1.701 3 .567 2.145 .101
within Groups 22.197 84 .264
Total 23.898 87q11 Between Groups 3.942 3 1.314 4.847 .004
within Groups 22.774 84 .271
Total 26.716 87
q12 Between Groups .868 3 .289 1.051 .374
within Groups 23.121 84 .275
Total 23.989 87
q13 Between Groups 2.110 3 .703 1.992 .121
within Groups 29.663 84 .353
Total 31.773 87
q14 Between Groups .877 3 .292 .951 .420within Groups 25.839 84 .308
Total 26.716 87
q15 Between Groups .766 3 .255 .827 .483
within Groups 25.950 84 .309
Total 26.716 87
q16 Between Groups .950 3 .317 .933 .428
within Groups 28.493 84 .339
Total 29.443 87
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Table 11: Tukey Test for the" Bank Age" Variable
less than from 30- less from 40 less from 50 &
30 years than 40 years. than 50 years. above
Efficiency of time management 5 less than
Personality Contact. 10 years
10 less than
15 years.
15 less than *
20 years.20 & above *
E-payment efficiency 5 less than *
10 years
10 less than *
15 years.
Efficiency of procedures 15 less than *
transaction 20 Years
Comfort ability 20 & above
Significant at (0.05) level
Hypothesis (6)H6: there are statistical differences between factors affecting the bank managers in the
implementation of Mobile Bank Usage from marketing point of view and the Years of
experience in bank < 0.05.
One Way Analysis Of Variance (ANOVA) were used to test the hypothesis, table (10) and
the results show that variables 1, 2, 7, and 12 are significant. Furthermore Tukey posttest,
used to find which level of Years of experience in bank has higher result of the Tukey
Test test showed that those bank managers whose works in banks the Years of experience
in bank 5 less than 7 years more than 1 - less than 3 years and those of 7 years & above
more than 5 less than 7 years feel of Efficiency of time management and Capital
expenditure via information technologies, And those bank managers works in banks theYears of experience in bank 5 less than 7 years more than 1 - less than 3 years and those
of 7 years & above more than 5 less than 7 years. Feel of Receiving SMS massages
informing customers with any new developed and confidentially of the Accounts.
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Ahmad Mahmoud Zam il
Table 12: ANOVA for Years of Experience in Bank Variable
ANOVA
Sum of Squares df Mean Square F Sig.
q1 Between Groups 10.297 3 3.432 7.668 .000
within Groups 37.601 84 .448
Total 47.898 87
q2 Between Groups 4.529 3 1.510 4.556 .005
within Groups 27.834 84 .331
Total 32.364 87
q3 Between Groups .991 3 .330 1.189 .319within Groups 23.327 84 .278
Total 24.318 87
q4 Between Groups .233 3 .078 .271 .846
within Groups 24.085 84 .287
Total 24.318 87
q5 Between Groups 1.207 3 .402 1.346 .265
within Groups 25.111 84 .299
Total 26.318 87
q6 Between Groups 2.133 3 .711 2.560 .060
within Groups 23.322 84 .278
Total 25.455 87
q7 Between Groups 3.681 3 1.227 6.773 .000
within Groups 15.217 84 .181
Total 18.898 87
q8 Between Groups .456 3 .152 .371 .774
within Groups 34.408 84 .410
Total 34.864 87
q9 Between Groups 2.680 3 .893 3.364 .022
within Groups 22.309 84 .266
Total 24.989 87
q10 Between Groups .534 3 .178 .640 .592
within Groups 23.364 84 .278
Total 23.898 87
q11 Between Groups .602 3 .201 .645 .588
within Groups 26.114 84 .311
Total 26.716 87
q12 Between Groups 2.785 2 .928 3.678 .015
within Groups 21.204 84 .252
Total 23.989 87
q13 Between Groups .151 3 .050 .134 .940
within Groups 31.622 84 .376
Total 31.773 87
q14 Between Groups .905 3 .302 .981 .406
within Groups 25.811 84 .307
Total 26.716 87
q15 Between Groups .991 3 .330 1.079 .363
within Groups 25.725 84 .306
Total 26.716 87
q16 Between Groups .605 3 .202 .588 .625
within Groups 28.838 84 .343
Total 29.443 87
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The Implementation of Mobile Bank Usage from marketing point of view of bank managers
in Jordan.
Conclusions and Recommendations
ConclusionsThe main results and conclusions of this study are summarized as follows:
There are significant statistical evidences those differences between The Implementation
of Mobile Bank Usage from marketing point of view of bank managers in Jordan. These
differences are due to the following factors:
Gender of bank managers: The male feel more than the female in all variables except
variable 14 so the male bank managers feel that the implementation of Mobile Bank
Usage as bank managers increase the Levels of trust of payment via E-techniques
Age of bank managers: bank managers who works in banks with Age of bank 20 &
above feel more than the one who works in banks of age 10 less than 15 Years and
those works in banks age of 15 less than 20 Years feel more than 20 & above of the
implementation of Mobile Bank Usage as bank managers increase the Efficiency of time
management and Personality Contact.
And those bank managers works in banks the Age of bank 15 less than 20 Years feel
more than 10 less than 15 Years and those of 10 less than 15 Years feel more than
20 & above and 5 less than 10 Years feel More than 15 less than 20 Years feel that
the implementation of Mobile Bank Usage as bank managers increase of the E-payment
efficiency, Efficiency of procedures transaction and Comfort ability.
Table 13: Tukey Test for the "Years of Experience in Bank Manager" Variable
1-less than 3-less than 5-less than 7 years &
3 years 5 years. 7 years. above
Efficiency of time 1-less than 3 *
management years
Capital expenditure 3-less than
via information 5 years.
technologies 5- less than *
7 years.7 years &
above
Receiving SMS massages 1-less than 3
informing customers y ear s
w ith any new develops 3- less than
5 years.
Confidentially 5- less *of the Accounts. than 7 years.
7 years & above *
Significant at (0.05) level
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Ahmad Mahmoud Zam il
Qualification of bank managers : bank managers who have Graduate study feel that
the implementation of Mobile Bank Usage as bank managers increase Efficiency of time
management, Capital expenditure via information technologies Personality Contact,
Efficiency of administrative costs and Efficiency more than managers with Batchelor
degree.
And those bank managers who have Graduate study feel that the implementation of
Mobile Bank Usage as bank managers increase Monitoring & following reports related to
work, Receiving SMS massages informing customers with any new develops, E-payment
efficiency and Levels of trust of payment via E-techniques more than managers with
Diploma degree
Bank Branch Location: bank managers whose bank location in Amman City feel that
the implementation of Mobile Bank Usage as bank managers increase Capital expenditure
via information technologies and Personality Contact, Monitoring & following reports
related to work more than Zarqa City .
And those bank managers who Zarqa City feel that the implementation of Mobile Bank
Usage as bank managers increase Receiving SMS massages informing customers with
any new develops, Efficiency of procedures transaction and Levels of trust of payment
via E-techniques more than Irbid City.
The result showed that those bank managers whose works in banks the Years of experience
in bank 5 less than 7 years more than 1 - less than 3 years and those of 7 years &
above more than 5 less than 7 years feel that that the implementation of Mobile Bank
Usage as bank managers increases Efficiency of time management and Capital expenditure
via information technologies, and those bank managers' works in banks the Years of
experience in bank 5 less than 7 years more than 1 - less than 3 years and those of 7
years & above more than 5 less than 7 years. Feel that that the implementation of
Mobile Bank Usage as bank managers increase Receiving SMS massages informing
customers with any new develops and Confidentially of the Accounts.
RecommendationsIn order to lighten The Implementation of Mobile Bank Usage from marketing point of
view of bank managers in Jordan the study recommends the following:
1. Developing recruitment and employment methods to place the appropriate person
for the appropriate job.2. Conducting training courses based on identification of training needs, to provide
employees with the required information, and to develop their abilities, skills, and
attitudes of The Implementation of Mobile Bank Usage from Marketing point of
view
Future StudiesConclusions of the previous studies, as well as the conclusions of this study, are worth
investigation and revision by researchers; hence the researchers recommend conducting
the following studies:
1. Effects of Mobile Bank Usage
2. lighten The Implementation of Mobile Bank Usage from Marketing point of view
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Ahmad Mahmoud Zam il
The Implementation of Mobile Banking from Marketing Point of View of Bank
Managers in Jordan Questionnaire
First Section:
Mark the appropriate answer with (X):
1. Gender of bank manager
Male Female
2. Age of bank managerLess than 30 years.
From 30- less than 40 years.
From 40 less than 50 years.
50 years & above.
3. Qualification of bank manager
Diploma
Bachelor
Higher degree
4. Bank Branch Location:
AmmanIrbid
Zarqa
5. Bank years established:
5 less than 10 Years.
10 less than 15 Years.
15 less than 20 Years.
20 & above.
6. Years of experience in the bank:
1 - less than 3 years.
3 less than 5 years.
5 less than 7 years.
7 years & above.