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.

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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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    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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    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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    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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    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.