Relationships of Factors for Successful ICT Projects Management

DOI : 10.17577/IJERTCONV4IS01003

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Relationships of Factors for Successful ICT Projects Management

Michiko Miyamoto

Department of Management Science and Engineering Akita Prefectural University

Yurihonjo, Akita Japan

AbstractThis study presents a framework and empirical analyses to measure relationships of factors for successful ICT projects management, by using the survey data from 1,678 managers and professionals working in a collaborative environment for Japanese software houses. The results of the research model using SEM show that there is a significant, strong and positive relationship between managers roles and communication/atmosphere, accomplishment/challenge, and obstacles. Furthermore, communication/atmosphere is closely related to obstacles.

KeywordsManagers roles; communication/atmosphere; accomplishment/challnege; obstacles, SEM.

  1. INTRODUCTION

    As for project management in Information and Communication Technology (ICT) industry, the companies have strived to apply the most secure practice for ensuring the success of their projects. ICT projects reflect a dynamic team-based work structure; however, firms realize that designing and managing teams that work well together is a complex challenge [1, 2, 3]. The theoretical literature on ITC project management tends to assume that certain organizational rules, executive procedures, and environmental conditions are essential to the success of all types of projects. Meanwhile, management practitioners frequently ignore such general rules, because they are convinced that their particular projects pose entirely unique kinds of problems [4].

    Projects vary greatly in terms of targets, duration, budget, staffing and difficulty. However, in all projects involve elements, such as communication, atmosphere, accomplishment, challenge and obstacles, need to be managed throughout the project life cycle. The project life cycle includes those phases; the initiation phase, the planning phase, the implementation (execution) phase, and the closing phase [5].

    This paper empirically investigates relationships between managers roles, communication, atmosphere, accomplishment, challenge and obstacles, within the collaborative environment, the ICT project team.

    For estimating a fit between factors, advanced quantitative techniques of structural equation modeling (SEM) [6] have been employed. SEM has been established as an analytical tool, leading to hundreds of published applications per year. Overviews of the state of the method can be found in Cudeck et al.[7], Jöreskog [8], Millerand Form [9], and Shirai [10]. In this study, a suggested SEM

    model connects factors such as managers roles, communication, accomplishment, obstacles by using a survey data of 1,678 Japanese software development managers and professionals.

    This paper is organized as follows. Following the introduction on Section 1, Section 2 presents literature review on factors needed for successful ICT development teams. Section 3 outlines research model and hypotheses. Section 4 describes the data and variables. Section 5 presents the result of analysis. Finally, a summary of results are discussed in Section 6.

  2. LITERATURE REVIEW

    Successful project methodologies provide the framework for management cultures are based on trust, communication, cooperation, and teamwork [11].

    1. Communication/Atomosphere

      Communication is known as the most important component within any project. The project management literature frequently outlines the importance of good communication for success in projects [12, 13, 14, 15, 16]. The success of most projects, whether handled by a dedicated project team or a cross-departmental team, depends upon a set of crucial communication skills and techniques. Communication affects performance. Therefore, effective communication entrenchments are needed in order to get high-performance teams working on a project. Without well- established communication channels, it is likely that the project will fail. Successful project managers typically have good communications skills that include being able to effectively present the issues, listen and act on feedback, and foster harmony among team members. [1].

      Charvat [1] suggests that there are three communication channels that managers need to establish once the project has started (See Fig. 1), and managing and improving these channels can dramatically increase chances of project success. Communication has long been documented as important for building and maintaining a productive interface between functional units.

      Motivating people is a key activity of a project manager. The project management should be effective, initiating a collaborative and responsible working atmosphere within the project team and the partners. The project manager can create an atmosphere where informal communication is expected and reinforced.

      Special attention has been paid to explain the concept of the project in order to create a single project vision and federate the team and the partners. According to Nash [17],

      leaders distinguish themselves by strong will to win, focus on achieving the results, establishing the culture of readiness for changes, and creating an atmosphere of trust.

      Upward Channel

      Communication to senior executives Highlight issues, risks

      and exceptoins

      Lateral Channel

      Communication to clients, provide direciton to vendors, and functional project team managers

      Highlight tasks Involves negotiations for pending, scheduled resources, budgets, and tasks, dates, and time allocations

      general team briefings

      Downward Channel

      Upward Channel

      Communication to senior executives Highlight issues, risks

      and exceptoins

      Lateral Channel

      Communication to clients, provide direciton to vendors, and functional project team managers

      Highlight tasks Involves negotiations for pending, scheduled resources, budgets, and tasks, dates, and time allocations

      general team briefings

      Downward Channel

      Fig. 1. Three communication channels (Based on Charvat, 2002)

    2. Roles of Project Managers

      Projects are managed in a work environment that is complex because each project is unique and dynamic [18]. In the context of project management, good leaders are required to assign appropriate importance to relationships, communicate their values, and at the same time pay suitable importance to processes [19].

      Project management is the application of knowledge, skills, tools and techniques to project activities to meet project requirements. The project manager is the person responsible for accomplishing the project objectives [20].

      In addition to working across functional and organizational environments, the project manager has other challenges such as providing leadership without documented, formal authority, and working in matrix organizations where unity of command is an issue [21]. Consequently, project managers are perceived to be leading a diverse set of people with little direct control over the team members [22].

    3. Accomplishment/Challenges

      Uniqueness, complexity, and unfamiliarity, are often considered as the characteristics of projects. Projects usually experience frequent personnel changes. People involved with projects are often dispersed when projects end, which creates challenges for generating, transferring, and sharing knowledge [23]. Projects are often associated with change, habitually facing resistance. Consequently, leadership is a determinant of success, as it provides vision and ability to cope with change [24]. Te challenge for the project manager is to make best and most effective use of the team that is selected [25].

      One of the challenges of project leadership is its limited role as a transformational leader. Helping subordinates develop to their fullest potential is an integral part of transformational leadership; however, projects may offer a limited role for transformational leadership from this perspective in traditionally functional hierarchy organizations [26]. A limited role is attributed to project formation and organizational structure that are different from those of traditional organizations, including the time-bound

      participation of people in multiple projects reporting to different project leaders. The project manager is the person who can challenge and who is responsible for accomplishing the project objectives.

    4. Obstacles

    In the IT sector, the results of the Chaos survey from The Standish Group in 2014 shows that 31.1% of all projects are cancelled before they ever get completed, while the average is only 16.2% for software projects that are completed on- time and on-budget. The failure has been posited to result from managers not implementing projects that align with the business strategy in global businesses [27]. Lyytinen and Hirschheim [28] identified 4 major categories of ITC failure; correspondence failure, process failure, interaction failure and expectation failure. According to Sauer [29], failure occurs when the level of dissatisfaction of supporters with a system rises to the extent when there is no longer enough support to sustain it. Problems in any of these three relationships will be the source of consequential difficulties for the other two, and unless the problems can be solved, this will lead ultimately to total withdrawal of support and system failure. Projects fail to meet time and cost targets due to people-related issues, such as poor morale, poor human relations, poor productivity, and lack of commitment [30].

  3. RESEARCH MODEL AND HYPOTHESES Based on literature, the author measures relationships of

    those factors for successful ICT projects management, including (1) managers roles, (2) communication/atmosphere,

    (3) accomplishment/challenge, and (4) obstacles. In this study, a research framework was developed as shown in Fig. 2.

    Fig. 2. A research framework

    More specifically the author will investigate the following six hypotheses regarding an effective ICT management:

    H1: Managers roles will affect communication/ atmosphere. H2: Managers roles will affect accomplishment/challenge. H3: Managers roles will affect obstacles.

    H4: Communication/ atmosphere will affect accomplishment/challenge.

    H5: Obstacles will afect accomplishment/challenge. H6: Communication/ atmosphere will affect obstacles.

    In structural equation modeling, the author considers the causalities among all variables, especially between the result

    and the latent variables. Latent variable enables us to find many compiled observed variables at the same time based on the notion of structure. This works for generating and verifying hypothesis to find factors and causalities.

  4. DATA

    The survey was sent to several software development companies in Tokyo, Japan, from January 2002 to March 2002 [31], and amassed 1,678 valid responses. The questionnaire was sent by mail to project managers of each firm, and they delivered the questionnaire to each project member.

    Since the survey was conducted through project managers of the companies where Enokida and Matsuodani

    [31] closely associated with, a response rate was close to100%. Most of the questionnaires are asked by a 4 point scale.

    Table I shows the demographics of the data. 84% of the participants are male, and most of them are between 26 and

    40 years old, having rich experiences in software development. One third of them are managing the project. There are short projects lasted less than one month, while more than 800 projects are going over one year long. A list of variables is shown in Table II.

    Table III contains the Pearson correlation coefficient between all pairs of twenty variables with the two-tailed significance of these coefficients. All variables correlate fairly well and are statistically significant, and none of the correlation coefficients are particularly large; therefore, multicollinearity is not a problem for these data.

    TABLE I. THE DEMOCRAPHICS OF DATA

    Variables

    N

    N

    Sex

    male

    1,276

    female

    265

    Age

    25 or below

    31-40

    35

    656

    26-30

    over 41

    499

    53

    Affiliation

    user

    software house

    individual entrepreneurs

    676

    56

    13

    employee

    consultant

    Others

    500

    33

    40

    Role within the project

    manager

    521

    Professional

    1,081

    Professional experiences

    less than 2years

    6-10 years

    275

    416

    3-5 years

    over 11years

    428

    563

    Your work place

    disperse

    others

    772

    16

    concentrate

    807

    Number of people at the work place

    less than 5 people

    21-50

    more than 101

    239

    388

    278

    6-20

    51-100

    595

    196

    Management style of the project

    top down

    928

    independent

    596

    Length of your participation in the project

    less than 1 month

    less than 6 mo

    over 1yr

    94

    200

    804

    less than 3 mo

    less than 1 yr

    212

    325

    TABLE II. THE LIST OF VARIABLES FROM THE SURVEY

    q7

    Appropriate supports

    q8

    Ambitious management

    q26

    The good feeling, respect for the manager

    q21

    Having good communication

    q6

    Satisfied with the management and project policy

    q19

    Resolved unclear role responsibilities

    Roles of Project Managers

    q3

    The project role is determined by the right man in the right place, it operated smoothly

    q33

    Exactly fair evaluation

    q5

    Project policy and management policy have been told

    q9

    Sharing of necessary information

    q39

    This project will be successful

    q11

    Your role has been clearly explained

    q4

    Responsibility on the project is appropriate

    q24

    Communication with members of other teams is good

    q25

    Informal communication with project members is good.

    q22

    Communication between teams of each of the project is a good.

    Communication/

    q23

    Communication with team members is good

    Atmosphere

    q36

    Satisfied with workplace relationships

    q27

    Atmosphere conducive to aggressive behavior

    q40

    Hope to work with the same leader and same members in the next project.

    q28

    Cooperative atmosphere of "trying to achieve the goals of the job."

    q31

    It is possible to increase one's ability

    Accomplishment/

    q32

    Increase your market value

    Challenge

    q1

    Given a challenging worth work

    q38

    A sense of accomplishment for the day-to-day work.

    q37

    Have ever received the unreasonable treatment.

    q17

    By a sudden emergency, a trouble came to your work

    q18

    There were difficult problems associated with the adjustment of the user and the vendor

    Obstacles

    q30

    Troubles happened by uncooperative members.

    q29

    Because of the power relationships between organizations and members of the project, it is difficult to work.

    q14

    Working under time pressure.

    q10

    Disturbance sectionalism

    TABLE III. CORRELATIONS OF VARIABLES

    q1 q10 q11 q14 q17 q18 q19 q21 q22 q23 q24 q25 q26 q27 q28 q29 q3 q30 q1 1 .210** 323** -.025 .052* .044 .239** .295** .287** 255** .246** .244** .278** .328** .367** .203** .366** .215**

    q10 1 318** .119** .243** 229** .318** .319** .310** 261** .239** .243** .320** .340** .369** .409** .363** .372** q11 1 .042 .111** 099** .394** .368** .343** 312** .291** .288** .325** .391** .421** .280** .404** .211** q14 1 .293** 259** .151** .065** .080** 087** .041 .051* .046 .085** .079** .138** .164** .167**

    q17 1 569** .273** .110** .103** 107** .022 .072** .137** .143** .208** .226** .181** .268**

    q18 1 .300** .110** .104** 107** .033 .052* .140** .101** .159** .208** .165** .256**

    q19 1 .424** .338** 276** .272** .290** .456** .363** .417** .350** .448** .322**

    q21 1 .491** 405** .434** .479** .675** .506** .436** .319** .370** .251**

    q22 1 483** .636** .551** .413** .494** .467** .409** .352** .319**

    q23 1 .433** .489** .326** .374** .368** .297** .263** .315**

    q24 1 .614** .360** .401** .362** .287** .238** .207**

    q25 1 .393** .459** .390** .317** .270** .236**

    q26 1 .489** .458** .335** .409** .310**

    q27 1 .572** .483** .389** .319**

    q28 1 .466** .460** .359**

    q29 1 .358** .515**

    q3 1 .313**

    q30 1

  5. RESULTS

    Testing the efficacy of the structural equation model was conducted by AMOS 22, and the major results of analysis are shown in Fig. 3. The path diagram highlights the structural relationships. In this diagram, the measured variables are enclosed in boxes, latent variables are circled, and arrows connecting two variables represent relations, and open arrows represent errors.

    q1

    q31 q32 q33 q36 q37 q38 q39 q4 q40 q5 q6 q7 q8 q9

    .605** .550** .366** .292** .202** .426** .332** .428** .402** .313** .373** .336** .295** .260**

    TABLE IV. RELIABILITY TEST

    FIT indices Recommended level Research Model

    q10

    .281** .284** .296** .329** .344** .256** .297** .247** .332** .298** .353** .330** .271** .350**

    CMIN/DF CM CMIN/DF 6.954

    q11

    .317** .276** .345** .325** .270** .365** .406** .435** .370** .462** .429** .416** .344** .396**

    CFI >0.90 (Bentler, 1990) 0.900

    q14

    .029 .046 .096** .148** .320** .090** .182** .081** .094** .054* .200** .106** -.014 .124**

    IFI >0.90 ( Bollen, 1989) 0.901

    q17 .150** .140** .144** .182** .367** .142** .215** .076** .146** .115** .225** .159** .132** .181**

    RMSEA

    <0.08(Browne and Cudeck,1993)

    0.060

    q18 .103** .116** .113** .161** .347** .128** .238** .103** .140** .104** .233** .165** .132** .154** AIC

    Smaller values suggest a good fitting (Akaike, 1974)

    3220.622

    q19

    .283** .302** .433** .364** .340** .362** .442** .363** .397** .343** .449** .502** .460** .416**

    p-value >0.05 0.000

    q21

    .281** .271** .485** .432** .303** .358** .379** .349** .443** .391** .414** .602** .499** .357**

    q22 q23

    .312** .318** .340** .495** .278** .371** .379** .282** .474** .343** .379** .327** .290** .364**

    .281** .250** .284** .530** .265** .292** .266** .295** .471** .233** .254** .303** .209** .300**

    When SEM is used to verify a theoretical model, a

    q24

    .217** .217** .311** .404** .183** .320** .244** .250** .359** .265** .277** .289** .228** .304**

    better goodness of fit is required for SEM analysis [6]; the

    q25

    .244** .251** .336** .486** .254** .349** .294** .278** .422** .290** .287** .317** .251** .276**

    better the fit, the closer the model matrix and the sample

    q26

    .329** .304** .490** .422** .317** .346** .413** .324** .480** .383** .435** .659** .608** .377** matrix. By means of various goodness-of-fit indexes,

    q27

    .357** .357** .404** .489** .344** .356** .380** .345** .493** .401** .406** .416** .365** .379** including the comparative fit index (CFI) [32], the

    q28

    .395** .398** .415** .485** .323** .418** .476** .341** .496** .391** .456** .446** .420** .420** incremental fit index (IFI) [32], and the root mean squared

    q29

    .275** .280** .323** .505** .463** .300** .340** .294** .459** .261** .357** .343** .307** .329** error of approximation (RMSEA) [33], the estimated matrix

    q3

    q1

    q31 q32 q33 q36 q37 q38 q39 q4 q40 q5 q6 q7 q8 q9

    .605** .550** .366** .292** .202** .426** .332** .428** .402** .313** .373** .336** .295** .260**

    TABLE IV. RELIABILITY TEST

    FIT indices Recommended level Research Model

    q10

    .281** .284** .296** .329** .344** .256** .297** .247** .332** .298** .353** .330** .271** .350**

    CMIN/DF CM CMIN/DF 6.954

    q11

    .317** .276** .345** .325** .270** .365** .406** .435** .370** .462** .429** .416** .344** .396**

    CFI >0.90 (Bentler, 1990) 0.900

    q14

    .029 .046 .096** .148** .320** .090** .182** .081** .094** .054* .200** .106** -.014 .124**

    IFI >0.90 ( Bollen, 1989) 0.901

    q17 .150** .140** .144** .182** .367** .142** .215** .076** .146** .115** .225** .159** .132** .181**

    RMSEA

    <0.08(Browne and Cudeck,1993)

    0.060

    q18 .103** .116** .113** .161** .347** .128** .238** .103** .140** .104** .233** .165** .132** .154** AIC

    Smaller values suggest a good fitting (Akaike, 1974)

    3220.622

    q19

    .283** .302** .433** .364** .340** .362** .442** .363** .397** .343** .449** .502** .460** .416**

    p-value >0.05 0.000

    q21

    .281** .271** .485** .432** .303** .358** .379** .349** .443** .391** .414** .602** .499** .357**

    q22 q23

    .312** .318** .340** .495** .278** .371** .379** .282** .474** .343** .379** .327** .290** .364**

    .281** .250** .284** .530** .265** .292** .266** .295** .471** .233** .254** .303** .209** .300**

    When SEM is used to verify a theoretical model, a

    q24

    .217** .217** .311** .404** .183** .320** .244** .250** .359** .265** .277** .289** .228** .304**

    better goodness of fit is required for SEM analysis [6]; the

    q25

    .244** .251** .336** .486** .254** .349** .294** .278** .422** .290** .287** .317** .251** .276**

    better the fit, the closer the model matrix and the sample

    q26

    .329** .304** .490** .422** .317** .346** .413** .324** .480** .383** .435** .659** .608** .377** matrix. By means of various goodness-of-fit indexes,

    q27

    .357** .357** .404** .489** .344** .356** .380** .345** .493** .401** .406** .416** .365** .379** including the comparative fit index (CFI) [32], the

    q28

    .395** .398** .415** .485** .323** .418** .476** .341** .496** .391** .456** .446** .420** .420** incremental fit index (IFI) [32], and the root mean squared

    q29

    .275** .280** .323** .505** .463** .300** .340** .294** .459** .261** .357** .343** .307** .329** error of approximation (RMSEA) [33], the estimated matrix

    q3

    .318** .321** .414** .368** .356** .383** .467** .468** .420** .399** .595** .486** .425** .444**

    q30 .336** .238** .278** .412** .452** .229** .294** .250** .384** .218** .307** .300** .273** .267** q31 1 .757** .448** .338** .256** .392** .330** .373** .436** .336** .359** .324** .297** .280** q32 1 .458** .323** .240** .413** .332** .350** .406** .318** .383** .328** .323** .263** q33 1 .413** .339** .358** .374** .423** .420** .381** .451** .486** .423** .342**

    q36 1 .414** .341** .361** .331** .612** .305** .382** .387** .323** .331**

    q38

    1 .441** .362** .451** .333** .452** .392** .329** .305**

    q39

    1 .362** .496** .398** .505** .431** .377** .377**

    q4

    1 .398** .353** .423** .406** .313** .309**

    q40

    1 .356** .457** .456** .372** .349**

    q5

    1 .559** .444** .415** .392**

    q6

    1 .544** .468** .481**

    q7

    1 .712** .450**

    q8

    1 .391**

    q9

    1

    q38

    1 .441** .362** .451** .333** .452** .392** .329** .305**

    q39

    1 .362** .496** .398** .505** .431** .377** .377**

    q4

    1 .398** .353** .423** .406** .313** .309**

    q40

    1 .356** .457** .456** .372** .349**

    q5

    1 .559** .444** .415** .392**

    q6

    1 .544** .468** .481**

    q7

    1 .712** .450**

    q8

    1 .391**

    q9

    1

    q37 1 .302** .340** .317** .413** .232** .372** .336** .256** .311**

    can be evaluated against the observed sample covariance matrix to determine whether the hypothesized model is an acceptable representation of the data. In general, incremental fit indexes (i.e., CFI, IFI) above 0.90 signify good model fit. RMSEA values lower than .08 signify acceptable model fit, with values lower than .05 indicative of good model fit [33]. The research model is shown in figure 3; CFI=0.900, IFI=0.901, RMSEA= 0.060 (see table IV). The

    Path Coefficient for both structural models suggested that the regression coefficient for all constructs show significance. Since all of the indexes satisfy the cut-off values, these results are regarded as acceptable.

    Fig. 3. A research model

    TABLE V. THE PATH COEFFICIENTS OF RESEARCH MODEL

  6. CONCLUSIONS

construct Std.

Unstd. S.E. C.R. P

This paper presents a framework and empirical analyses

Communication_Atmosphier

<— Managers_Roles

0.803

0.939 0.053

17.803

***

for the survey data from 1,678 managers and professionals

Obstacles

<— Managers_Roles

0.355

0.515 0.068

7.593

***

working in the collaborative environment for Japanese

Obstacles

<— Communication_Atmosphier

0.438

0.543 0.06

9.094

***

software houses to measure relationships of factors, such as

Accomplishment_Challenge <— Communication_Atmosphier 0.365 0.38 0.052 7.359 *** managers roles, communication/atmosphere,

Accomplishment_Challenge

<— Managers_Roles

0.481

0.585 0.061

9.585

*** accomplishment/challenge, and obstacles, for a successful

Accomplishment_Challenge

<— Obstacles

-0.11

-0.092 0.035

-2.655

0.008 ICT projects management. Effective and efficient project

q4

<— Managers_Roles

0.559

1

q11

<— Managers_Roles

0.578

1.171 0.057

20.658

*** management is a critical success factor for any project. [34]

q39

<— Managers_Roles

0.643

1.23 0.06

20.33

***

The results of the research model suggest that managers

q9

<— Managers_Roles

0.606

1.274 0.065

19.555

***

roles are closely related to communication/atmosphere,

q5

<— Managers_Roles

0.614

1.292 0.065

19.728

***

accomplishment/challenge, and obstacles.

q33

<— Managers_Roles

0.646

1.175 0.055

21.487

***

Furthermore, communication/atmosphere is closely

q3

<— Managers_Roles

0.686

1.313 0.058

22.775

*** related to obstacles, such as Have ever received the

q19

<— Managers_Roles

0.654

1.32 0.065

20.451

*** unreasonable treatment (Q37), By a sudden emergency, a

q6

<— Managers_Roles

0.754

1.418 0.063

22.368

*** trouble came to your work (Q17), There were difficult

q21

<— Managers_Roles

0.669

.307 0.063

20.768

***

q26

<— Managers_Roles

0.68

1.295 0.061

21.059

*** problems associated with the adjustment of the user and the

q8

<— Managers_Roles

0.649

1.295 0.063

20.448

*** vendor (Q18), Troubles happened by uncooperative

q7

<— Managers_Roles

0.744

1.431 0.064

22.266

*** members (Q30), Because of the power relationships

q24

<— Communication_Atmosphier

0.617

1

between organizations and members of the project, it is

q25

<— Communication_Atmosphier

0.601

0.946 0.039

24.089

*** difficult to work (Q29). Working under time pressure

q22

<— Communication_Atmosphier

0.692

1.15 0.053

21.906

*** (Q14), and Disturbance sectionalism (Q10). The previous

q23

<— Communication_Atmosphier

0.569

0.902 0.047

19.14

***

survey conducted by CompTIA in 2007 also suggested that

q36

<— Communication_Atmosphier

0.718

1.199 0.053

22.506

***

poor communication is the number one cause of project

q27

<— Communication_Atmosphier

0.739

1.262 0.057

21.952

***

q40

<— Communication_Atmosphier

0.783

1.297 0.059

21.946

***

q28

<— Communication_Atmosphier

0.734

1.221 0.056

21.665

***

every stage, and once managers understand the objectives of

q38

<— Accomplishment_Challenge

0.708

1

the project, the expected results and the budget restrictions,

q1

<— Accomplishment_Challenge

0.764

1.254 0.055

22.841

***

they need to clearly communicate that information to

q31

<— Accomplishment_Challenge

0.751

1.354 0.064

21.16

***

everyone involved [35]. Poor communication from

q32

<— Accomplishment_Challenge

0.672

1.203 0.059

20.242

***

stakeholders is also listed as one of problems of IT projects

q37

<— Obstacles

0.708

1

delays, along with inadequate planning, a high degree of

q17

<— Obstacles

0.375

0.563 0.041

13.807

***

uncertainty due to a new technology, and constant changes in

q18

<— Obstacles

0.384

0.523 0.038

13.633

***

q30

<— Obstacles

0.625

0.921 0.044

20.799

***

q29

<— Obstacles

0.704

1.075 0.047

22.789

***

suggested that a good project communications plan is a key to

q14

<— Obstacles

0.308

0.429 0.04

10.671

***

project success.

q10

<— Obstacles

0.608

0.86 0.043

20.048

***

The results of this study imply that the roles of managers

Communication_Atmosphier

<— Managers_Roles

0.803

0.939 0.053

17.803

***

for the survey data from 1,678 managers and professionals

Obstacles

<— Managers_Roles

0.355

0.515 0.068

7.593

***

working in the collaborative environment for Japanese

Obstacles

<— Communication_Atmosphier

0.438

0.543 0.06

9.094

***

software houses to measure relationships of factors, such as

Accomplishment_Challenge <— Communication_Atmosphier 0.365 0.38 0.052 7.359 *** managers roles, communication/atmosphere,

Accomplishment_Challenge

<— Managers_Roles

0.481

0.585 0.061

9.585

*** accomplishment/challenge, and obstacles, for a successful

Accomplishment_Challenge

<— Obstacles

-0.11

-0.092 0.035

-2.655

0.008 ICT projects management. Effective and efficient project

q4

<— Managers_Roles

0.559

1

q11

<— Managers_Roles

0.578

1.171 0.057

20.658

*** management is a critical success factor for any project. [34]

q39

<— Managers_Roles

0.643

1.23 0.06

20.33

***

The results of the research model suggest that managers

q9

<— Managers_Roles

0.606

1.274 0.065

19.555

***

roles are closely related to communication/atmosphere,

q5

<— Managers_Roles

0.614

1.292 0.065

19.728

***

accomplishment/challenge, and obstacles.

q33

<— Managers_Roles

0.646

1.175 0.055

21.487

***

Furthermore, communication/atmosphere is closely

q3

<— Managers_Roles

0.686

1.313 0.058

22.775

*** related to obstacles, such as Have ever received the

q19

<— Managers_Roles

0.654

1.32 0.065

20.451

*** unreasonable treatment (Q37), By a sudden emergency, a

q6

<— Managers_Roles

0.754

1.418 0.063

22.368

*** trouble came to your work (Q17), There were difficult

q21

<— Managers_Roles

0.669

1.307 0.063

20.768

**

q26

<— Managers_Roles

0.68

1.295 0.061

21.059

*** problems associated with the adjustment of the user and the

q8

<— Managers_Roles

0.649

1.295 0.063

20.448

*** vendor (Q18), Troubles happened by uncooperative

q7

<— Managers_Roles

0.744

1.431 0.064

22.266

*** members (Q30), Because of the power relationships

q24

<— Communication_Atmosphier

0.617

1

between organizations and members of the project, it is

q25

<— Communication_Atmosphier

0.601

0.946 0.039

24.089

*** difficult to work (Q29). Working under time pressure

q22

<— Communication_Atmosphier

0.692

1.15 0.053

21.906

*** (Q14), and Disturbance sectionalism (Q10). The previous

q23

<— Communication_Atmosphier

0.569

0.902 0.047

19.14

***

survey conducted by CompTIA in 2007 also suggested that

q36

<— Communication_Atmosphier

0.718

1.199 0.053

22.506

***

poor communication is the number one cause of project

q27

<— Communication_Atmosphier

0.739

1.262 0.057

21.952

***

q40

<— Communication_Atmosphier

0.783

1.297 0.059

21.946

***

q28

<— Communication_Atmosphier

0.734

1.221 0.056

21.665

***

every stage, and once managers understand the objectives of

q38

<— Accomplishment_Challenge

0.708

1

the project, the expected results and the budget restrictions,

q1

<— Accomplishment_Challenge

0.764

1.254 0.055

22.841

***

they need to clearly communicate that information to

q31

<— Accomplishment_Challenge

0.751

1.354 0.064

21.16

***

everyone involved [35]. Poor communication from

q32

<— Accomplishment_Challenge

0.672

1.203 0.059

20.242

***

stakeholders is also listed as one of problems of IT projects

q37

<— Obstacles

0.708

1

delays, along with inadequate planning, a high degree of

q17

<— Obstacles

0.375

0.563 0.041

13.807

***

uncertainty due to a new technology, and constant changes in

q18

<— Obstacles

0.384

0.523 0.038

13.633

***

q30

<— Obstacles

0.625

0.921 0.044

20.799

***

q29

<— Obstacles

0.704

1.075 0.047

22.789

***

suggested that a good project communications plan is a key to

q14

<— Obstacles

0.308

0.429 0.04

10.671

***

project success.

q10

<— Obstacles

0.608

0.86 0.043

20.048

***

The results of this study imply that the roles of managers

weight weight (t-value) value

failure, as communication is a component of a project at

the scope [36]. A survey conducted by Mnkandla [37] also

A result of the research model for relationships among factors relating to an effective ICT management; (1) managers roles, (2) communication/ atmosphere, (3) accomplishment/challenge, and (4) obstacles, shows the following six findings;

H1: There is a significant, strong and positive relationship between managers roles and communication/ atmosphere.

H2: There is a siginificant and positive relationship between managers roles and accomplishment/challenge.

H3: There is a siginificant and positive relationship between managers roles and obstacles.

H4: There is a siginificant and positive relationship between communication/ atmosphere and accomplishment/ challenge.

H5: There is a siginificant, but weak and negative relationship between obstacles and accomplishment/ challenge.

H6: There is a siginificant and positive relationship between communication/ atmosphere and obstacles.

are important for collaborative environments, and managers have to design their project teams carefully in order to maintain smooth project operation, and achieve a successful project completion.

A project team is generally quite a diverse group of people. Diversity within a project team can be cultural, geographical, organizational, functional, age related, level of education and so on. Project management communication within such diverse groups is a challenge at the best of times.

ACKNOWLEDGMENT

THIS WORK WAS SUPPORTED IN PART BY GRANT- IN-AID FOR SCIENTIFIC RESEARCH (C) 15K03607.

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