Transcript Slide 1

Tom Wise
THE EFFECT OF GEOGRAPHICAL SEPARATION, MEDIATED
COMMUNICATIONS, AND CULTURE, ON TESTER TEAM MEMBER
TRUST OF OTHER INFORMATION TECHNOLOGY VIRTUAL PROJECT
TEAM MEMBERS
by
Thomas P. Wise
BERNARD J. SHARUM, PhD, Faculty Mentor and Chair
EDWARD M. GOLDBERG, DM, Committee Member
STEPHEN G. MORRISSETTE, PhD, Committee Member
William A. Reed, PhD, Acting Dean, School of Business and Technology
Hypothesis
 H0
There is no statistically significant difference in trust of
other team members by a virtual team member in the
position of tester than for other members of the team.
 H1
There is a statistically significant difference in trust of
other team members by a virtual team member in the
position of tester than for other members of the team.
Data Collection Instrument
 Instrument was developed by Sarker, Valacich, Sarker as a measure of virtual team trust
based on research regarding trust as a collective measure of the degree to which remotely
located team-members are perceived to be reliable (2003).
 Sarker et al. (2003) reported the reliability of the instrument as the reliability coefficient
as follows:

For items regarding personality based trust, .79

For items regarding institutional based trust, .90

For items regarding cognitive based trust,

Message-related stereotyping, .94

Technology-based stereotyping, .89

Physical appearance/behavior-based stereotyping, .94

Reputation categorization, .75

Unit grouping, .82
Data Collection
 Sample Size Calculation
 In 2011 PMI indicated a membership of 425,000 with over
260,000 US members. (based on 2006 fact sheet)
 33% of members are indicate working in IT jobs.
 Sample expectation is 382 respondents
 Population estimate 87,000
 95% Confidence Level
 5% confidence interval
Data Collection
 Data was collected on-line for the period from August 1,
2011 to October 19, 2011 using SurveyMonkey.com.
 881 responses were collected
The Data
Of the 588 usable responses 75% of the respondents reported participating
in projects in the role of tester, with 13% of those respondents reporting a
tester role also reporting 50% or greater time spent on projects in the tester
role.
The Data
Figure reflects a normal
distribution of the data.
Histogram of "As of January 1 2011 what is your current age?"
Normal
350
300
Frequency
250
200
150
100
50
0
18 to 24
25 to 34
35-49
50 and over
As of January 1 2011 what is your current age?
Figure 6. Respondent’s Current Age.
The Data
Figure reflects a normal
distribution of the data.
Histogram of "As of January 1 2011... years ...in your current role?"
Normal
180
160
140
Frequency
120
100
80
60
40
20
0
0
1
2
3
4
5
6
As of January 1 2011how many years do you have in your current role?
Figure 7. Respondent’s Years in Current Role.
The Data
 Reliability is a measure of the consistency to which
the data collects the information.
 0.70 is considered to be an effective measure of
reliability.
Reliability of the data collection instrument as adapted to this study was
verified using Cronbach’s Alpha as a coefficient of reliability. Cronbach’s
Alpha uses the average covariance, average variance, and number of sample
items measured as a calculation of internal consistency and is acceptable for
use on a Likert scale (UCLA Academic Technology Services, 2011; Vogt,
2005).
The Data
 Cronbach's Alpha was calculated for the 4
personality based trust questions as 0.7394.
 Cronbach's Alpha was calculated for the
institutional based trust questions as 0.8196.
 Cronbach's Alpha was calculated for the cognitive
based trust questions as 0.8530.
 0.70 is considered to be an effective measure of
reliability.
The Data
 Validity is a measure of the extent to which the
instrument may be expected to collect the
information that it is intended to collect.
 Use of a previously validated instrument is considered to
be an effective measure of validity.
 This instrument was validated by Valacich et al. in 2003
and subsequently used in multiple studies as a measure of
trust.
Stated Anticipated Findings
 It was anticipated that, using a t-test analysis, the difference
in trust between test team members and that of other team
members will be statistically significant. Statistical
significance will be measured based on a probability level of
.05. This finding is anticipated based on the theoretical
inherent disenfranchisement of test team members from the
core project team normally assumed to be present.
Data Analysis
Preliminary Findings
 This research does reflect evidence of a statistically
significant difference in trust of other team members
by a virtual team member in the position of tester
than for other members of the team.
 The null hypothesis may be rejected.