Software Projects Success and Informal Communication:
A Brazilian Bank Case Study
Leandro Zocaratto Rezende
1a
, Edmir Parada Vasques Prado
1b
and Alexandre Grotta
1,2 c
1
IS Post-graduation Program (PPgSI), University of São Paulo (USP), São Paulo, Brazil
2
IS Graduation Program, Federal Institute of São Paulo (IFSP), São Paulo, Brazil
Keywords: Communication Management, Project Success, Software Development.
Abstract: Technology project management is challenging. However, there are few works in the literature related to
informal communication and project success. Therefore, this research aims to analyse the influence of
informal communication on the short - and medium - term success of software development projects in a
Brazilian banking institution. This research is based on a literature review about project communication and
success. The research has a qualitative and descriptive approach and used an ex-post-fact strategy. Ten
software development project management professionals were interviewed at a large banking institution in
the first half of 2019. The research found an association between informal communication with project
efficiency and contribution to the project team. No association was found between this communication line
and customer contribution. In addition, it made more contributions in waterfall projects than in agile projects.
1 INTRODUCTION
There is a perception among specialists that
information technology projects fail regularly. Only
39% of software projects are completed on time and
on budget (The Standish Group, 2013). Even worst,
when considering different points of view from
researchers, practitioners and academics perspectives
(Al-Ahmad et al., 2009) there is still no single
measure of software project success (Shenhar & Dvir,
2007). Even when a project is considerate well-done,
there are still many reports of challenges and efforts
to overcome them (Al-Ahmad et al., 2009).
Most of the project issues are related to the human
aspects: behavioural, organizational or managerial
aspects (Hartman & Ashrafi, 2002). Embracing all
these aspects, the communication process is
accountable for many issues, including both its inputs
and outputs (Lu, Liu and Liu, 2009) and including the
informal communication process.
Another research gap is that project data relating
to communication is not usually collected and
analysed in parallel with the project execution. These
research approaches gap to capture the project
a
https://orcid.org/0000-0002-5543-9155
b
https://orcid.org/0000-0002-3505-6122
c
https://orcid.org/0000-0003-2549-138X
momentum data, such as informal communication
data. Instead of that approach, it is suggested to
collect and analyse data when the project is still going
on or, if not possible, at least when the project has just
been finished (Shenhar & Dvir, 2007; Lu, Liu and
Liu, 2009).
Even further, we performed a research and
discovered a gap that related communication and
software project success: there were only 11 papers
from both IEEE Xplore and ACM databases relating
these two factors from 2010 to 2019. These
researches were not related to developing countries.
Given these gaps relating communication and the
project success, this research aims to answer the
following research question: At a large Brazilian
bank, what is the informal communication influence
over the success when considered software
development projects?
The research objective is to analyse the influence
of informal communication on software development
projects from both short and medium terms
perspectives. We aim to analyse that objective
through communication data gathered during real
project development according to three following
criteria: i) project efficiency; ii) impact to customer;
Rezende, L., Prado, E. and Grotta, A.
Software Projects Success and Informal Communication: A Brazilian Bank Case Study.
DOI: 10.5220/0009346201690176
In Proceedings of the 22nd International Conference on Enterprise Information Systems (ICEIS 2020) - Volume 2, pages 169-176
ISBN: 978-989-758-423-7
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
169
and iii) impact to team members. This research
preparation was done during the first semester of
2019. The field research and data consolidation
occurred during the second semester of 2019.
2 LITERATURE REVIEW
Based on a literature review, this section defines the
two main concepts used by this research: software
project success, which is straight forward; project
communication, which is more complex and also
embraces informal communication definition. These
concepts are related in section 3 through the
framework used by this research to relate informal
communication and software project success.
2.1 Software Project Success
Project success might be defined as the project has
achieved its objectives and its benefits for the
organization (Shenhar & Dvir, 2007). This definition
sets at least three dimensions: cost, time, and scope
dimensions (Dvir, Raz & Shenhar, 2003). These
dimensions are also known as the triple constraint,
given they take into account the project planning
objectives. In order to accommodate both project
success and user/business perspectives, we choose a
multidimensional model to evaluate software project
success, which endorses five dimensions (Shenhar
and Dvir, 2007). (1) Project efficiency: the short-
term measure that addresses if the project was
completed in accordance with its plan, especially
schedule and budget; (2) Customer impact:
importance of customer requirements; (3) Team
Members / Staff impact: satisfaction, retention, and
personal growth of team members; (4)
Business/direct success impact: the direct impact
the project has on the organization; and (5) Future
impact: the medium-term measure that addresses the
organization's readiness for future projects.
2.2 Project Communication
Communication is an essential element of Project
Management (PM) given it ensures the successful
delivery of the project (Emmitt & Gorse, 2003).
Communication has seven elements as follows:
senders, encoding, the message itself, a transmission
channel, decoding, receivers, and feedback (Zulch,
2014).
In addition, when we consider de pair
send(s)/receiver(s), there is a need to consider at least
five other elements - communication line, levels,
method, approach and geographic dispersion – that
are detailed as follows. (1) Communication Line.
Regarding the communication lack/issues on
workplace and its root cause analysis, we choose two
communication types (Djajalaksana, Zekavat and
Moon, 2017) as follows: formal communication; and
informal communication. (2) Communication
Method. There are three communication methods
used to share information among project stakeholders
(PMI, 2017): interactive, active, and passive. (3)
Communication Levels. Regarding the place where
the members are located on, communication has two
different levels (Dow and Taylor, 2008): internal, and
external. (4) Communication Approach. There are
five communication approaches (PMI, 2017):
interpersonal, small groups, public, large scale, and
network. (5) Geographic Dispersion. We choose the
communication geographic dispersion according to
(Paasivaara e Lassenius, 2001) which is split into
three types: traditional, distributed, and inter-
organizational.
3 RESEARCH FRAMEWORK
This section presents the framework that analyses the
relationship between informal communication and
software project success. The first subsection presents
the research variables, and the second subsection
details the research question.
3.1 Research Variables
The framework is composed of an independent
variable, plus three moderating variables that may
impact the project success (PS), the dependent
variable. Figure 1 represents the research framework
graphically and these variables are detailed.
3.1.1 Independent Variable
The research model has a single independent variable:
informal communication (IC). It measures the degree
of informal communication the project has according
to three different levels: medium, high and very high.
Due to research data limitation, we could not capture
small or very small informal communication.
3.1.2 Dependent Variables
The research framework has three dependent
variables based on the success dimensions (Shenhar
and Dvir, 2007). These dimensions have negative or
positive impacts. Although there are five dimensions
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Figure 1: Research framework.
Figure 2: Research phases.
of success, only the first three refer to short and
medium-term results, which are the scope of this
research. The three dimensions used by this research
are: Project efficiency (PS1), that measures the
contribution to the achievement of time, cost, and
scope goals; Impact on the customer (PS2), that
measures the contribution to meet customer
requirements, satisfaction, and loyalty; and Impact
on team members (PS3), that measures the
contribution for staff satisfaction, employee retention
and professional growth of team members.
3.1.3 Moderating Variable
The research framework has a single moderating
variable: the project approach. This variable identifies
the type of approach used in the project. It is a
nominal variable with three categories: agile,
waterfall and hybrid (a mix of the two previous ones).
3.2 Research Questions
At the beginning of this paper, we stated the research
main question as follows: At a Brazilian bank, what
is the informal communication influence over the
success when considering software development
projects? Thus, we defined three guiding questions
(Q1 to Q3) based on the literature review (Mark &
Wulf, 1999; Aranda et al., 2010; Cataldo & Ehrlich,
2012; Zulch, 2014; Djajalaksana, Zekavat & Moon,
2017). We then related the IC with PS (PS1 to PS3)
in short/medium term projects. Q1: Does informal
communication have a positive impact on project
efficiency (PS1)? Q2: Does informal communication
have a positive impact on customer satisfaction
(PS2)? Q3: Does informal communication have a
positive impact on team members (PS3)?
4 RESEARCH METHOD
The case study is based on interviews with project
professionals, thus having a quantitative approach
(Creswell & Clark, 2013). The research phases, the
procedures for data acquisition and treatment, are
described as follows.
4.1 Research Phases
This research was developed according to four
different phases as seen in Figure 2. I) Literature
review: informal communication features and the
dimensions of project success. II) We defined the
framework, the research variables and the research
guiding questions. III) We set the methods and
procedures presented in this section. IV) We
conducted the field research, collected data through
interviews and consolidated the results present in
section 5. The literature review and the research
framework were completed in the first semester of
2019, while the data collection and consolidation
were done by the end of 2019.
Software Projects Success and Informal Communication: A Brazilian Bank Case Study
171
4.2 Organization Characteristics
The researched company is one of the largest banks
in Brazil. It also has international projection. This
Bank has a well-defined IT area that is scaffolded by
a generous budget. This area has more than two
thousand employees working on several technology
projects. These projects serve in all areas, in which
there are different sizing and different PM methods.
These PM methods are mainly based on waterfall,
agile or
hybrid approaches.
4.3 Participants and Project Criteria
The participants accepted to engage to this research,
which represented a unique and highly valuable
opportunity for a case study based on (Yin, 2015).
Criteria to select participants were: (1) to have
experience in software development projects within
the financial industry; (2) to have participated in at
least three different project phases (from project
initial discussions to the implementation phase); (3)
to have an education level should include is at least
bachelor degree; (4) to have professional experience
of at least five years; (5) to have professionals from
several backgrounds, such as software engineers,
system developers or project leaders, is important;
and (6) to have at least ten IT professionals as
participants.
Criteria to select projects for this case study (Yin,
2015) were: (1) projects must have come from
different areas on the organization; (2) projects must
have been completed recently or are still in the final
stages or in the post-implementation phase, in order
to have short/medium term data; (3) projects might
have different sizing and (4) projects must have a
clear methodology - agile, waterfall or
hybrid.
4.4 Data Acquisition
We adopted individual interviews as an instrument
for data collection due to the qualitative nature of the
research (Yin, 2015). The interviews were conducted
with ten professionals who participated in different
projects related to software development.
We adopted the semi-structured interview
(Selltiz, Wrigthman and Cook, 1987), due to it has a
pre-establish a script that makes it easier to compare
information among participants. The script of the
interview consisted of open and closed questions. The
first interview was used as a pre-test to guide the other
interviews. Interviews were conducted in the second
half of 2019.
4.5 Data Processing
Data were processed using two different techniques.
First: content analysis, to categorize and interpret the
data collected in the interviews. According to
Neurendorf (2002), content analysis allows a
qualitative exploration of messages and information.
Second: judge analysis. This technique advocates
a judgment by a group of experienced experts in the
field (Medeiros et al., 2015). The expert group was
composed of participants from an individual
interview. They analysed the relationship between IC
and PS what was done previously one-by-one through
individual interviews. A group agreement means: the
number of specialists who agree with a statement is at
least the double of those that don’t agree with a
statement (Medeiros et al., 2015).
5 RESULTS AND DISCUSSION
This section presents de results under two
perspectives: the researched participants (people) and
the researched projects (software development ones).
We also present the informal communication results
over the software project success, as well as discuss
the results under the project approach perspective.
5.1 Samples: The Participants
Ten people have been selected for this research. We
analysed in the interviews the level of success
achieved by the projects and the research questions.
Interviews were named from E01 to E10. The first
interview served as a pre-test. We selected for the first
interview a specialist with more project experience
than the other ones to serve as a pre-test.
The questions and the script of the instrument
were validated by the pre-test, and the instrument was
adjusted to its final version based on this pre-test
results. We conducted individual interviews at a quiet
and private place in after-hours. The interviews were
recorded. All interviewees we previously informed
about the research objective and topics. We also
collect their consent before recoding their voices for
future transcription. Table 1 summarizes the
interviewees most relevant characteristics.
5.2 Samples: The Projects
Ten projects have been selected for this research.
software development activities in their scope, either
in part or in full. These have been started at different
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Table 1: Participants’ Sample Summary.
ID Age Gender Schooling University course Experience
(years)
Interview
duration (min)
E01 29 Male Post-graduated Information Systems 9 82
E02 25 Male Post-graduated Engineering 5 60
E03 26 Female Post-graduated Engineering 5 94
E04 28 Male Bachelor Computer Science 7 76
E05 28 Female Post-graduated Computer Science 6 47
E06 28 Female Bachelor Engineering 5 60
E07 31 Male Post-graduated Engineering 8 54
E08 29 Male Post-graduated Information Systems 9 38
E09 32 Male Post-graduated Engineering 5 51
E10 36 Female Post-graduated Engineering 18 52
Average: 29y Average: 8y Average: 61min
points in time between 2016 and 2019. The projects
were developed in seven different areas of the Bank:
three in the technology area, three in the risk analysis
area and the other ones in four distinct areas.
Nine projects were finished during the field
research, which made it possible to clearly identify
short or medium terms success criteria. The size of
the teams varied but an average was 49 members. The
smallest team had five members and the largest one
had 175 members. In addition, respondents
participated in at least three distinct project phases.
All projects achieved full or partial success, except
project E05, which was discarded from the sample
due to an issue with data. Table 2 summarizes the
relation between projects and participants.
5.3 Informal Communication and
Project Success
The research questions were analysed by means of the
following steps:
(1) Data collection. We collected participants’
data regarding informal communication in projects.
(2) Analyse the relationship between informal
communication and project success. We analysed
each interview to identify whether informal
communication influenced the project's success or
not. If so, we identified which dimensions of success
were influenced. To highlight this influence,
respondents were asked to give examples.
(3) Summary of results. We consolidated the
influence of IC on project success (PS1 to PS3). If the
results confirmed acceptance criteria, we then
confirmed the research questions.
Table 3 illustrates examples of the use of informal
communication by respondents. The following topics
describe the analysis of research questions.
5.3.1 Informal Communication and Project
Efficiency (Q1)
We asked participants if there is a positive association
between IC and project efficiency (PS1). Six of the
nine respondents (E02, E03, E04, E07, E08 and E09)
recognized that positive influence, thus meeting the
acceptance criterion (the number of respondents who
answered affirmatively is twice as many as the
others). Thus, the answer to question Q1 was
confirmed.
The following examples of excerpts from the
interviews that show that respondents recognized a
positive influence between IC and PS1:
E02. IC proved to be important due to the
timeliness of communication. That is, much faster
and positively impacting the project deadline.
E03. IC contributed positively to project success.
According to this respondent, “Telephone and instant
messaging makes informal conversations a lot easier
and this has contributed to the time efficiency”.
E04. IC had a positive influence on project
efficiency. “When communication occurs internally
to the team, it is more informal; conversely, when the
communication involves the customer, it tends to be
formal”.
E07. IC made it possible to know and understand
facts about the project itself that were not described
in the documents. It helped to better understand the
project.
E08. IC was highlighted as being extremely
important to the project. Even more important than
formal communication, and that it contributed to
communication efficiency.
E09. The interviewee considered that the IC was
positive for the project efficiency in the same way as
the interviewee E04.
Software Projects Success and Informal Communication: A Brazilian Bank Case Study
173
Table 2: Projects Data Sample Summary.
ID Projects areas Success Project Team Approach Position
in Participation in
Achieved Status
Members
company* project phases**
M E S 1 2 3 4 5 6
E01 Pay-out system Succeed Finished 175 Agile ● ●
E02 Risk analysis Succeed Finished 55 Waterfall ● ●
E03 Technology Succeed Running 15 Agile
E04 Technology Partially Finished 10 Hybrid ● ●
E05 Risk analysis Failure Finished 5 Agile ● ●
E06 Technology Partially Finished 100 Agile ● ●
E07 Customer relationship Succeed Finished 10 Waterfall ● ●
E08 Banking agencies Succeed Finished 70 Waterfall ● ●
E09 Risk analysis Succeed Finished 11 Agile ● ●
E10 Human resources Succeed Finished 40 Hybrid
* M-manager; E-engineer; S-System analyst
** 1 ideation; 2 requirement definition; 3 software development; 4 test; 5 implantation; 6 post-implantation
Table 3: Use of informal communication.
ID IC usage
level
Examples
Daily project team IC activities Customer interaction Agile ceremonies
E01 Medium In-person conversations and text messages
E02 High Daily conversations between staff Customer calls for questions
E03 Medium In-person discussions Ceremonies use IC
E04 Medium IC with people who helped the project
E06 Medium It harmed the project because formal
techniques were used informally
E07 High Talk to staff to check on task progress Frequent conversations with
customers
E08 High Physical proximity of staff had key
importance to better communication
Daily meeting
E09 Medium IC used daily with the project team
E10 Medium IC used daily with the project team
5.3.2 Informal Communication and Impact
to Costumer (Q2)
We asked participants if there is a positive association
between IC and the impact on customers (PS2). Only
three of the nine respondents (E01, E02 and E07)
recognized a positive influence between IC and PS2,
which does not meet the acceptance criterion. Thus,
Q2 was considered as not valid.
5.3.3 Informal Communication and Impact
to Staff (Q3)
We asked participants if there is a positive association
between IC and the impact on staff (PS3). Seven of
the nine respondents (E01, E02, E04, E07, E08, E09
and E10) recognized those affirmatives as true. And
that meets the acceptance criterion. These are
interview excerpts where participants recognized a
positive influence between IC and PS3. These are the
samples of positive impact on team interactions:
E01. "We need to know how to identify the
subject and the manner of speaking, which can be
talked to team members because they have different
skills and personality."
E02. "IC allows you to answer questions quickly,
like through instant messaging or phone calls.”
E04. "The company has small meeting rooms with
capacity for up to four people, where informal and
productive conversations took place that positively
influenced the project."
E07. “Did you understand? Is everything going
well? How can I help you?” This kind of interaction
had a positive impact on the team.
These are other positive impact samples on staff:
E08. “The number of test cases we ran when we
were at a distance was much smaller than when we
met in person”.
E09. “With the project team, the contribution is
greater, but with clients, formal communication is
needed to keep track of requirements and priorities.”
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E10. For this interviewee, the informal language
was linked to intimacy and mutual understanding
between team members and collaborators from other
areas. Thus, IC contributes to improving the
relationship between team members and has a
positive influence on the project team.
Table 4 summarizes the results of the interviews
on IC that PS1 and PS3 have been confirmed. Thus,
IC influences short and medium terms success in
software development projects under two
dimensions: project efficiency and impact on staff.
This result is in line with the literature on informal
communication (Mark & Wulf, 1999; Aranda et al.,
2010; Cataldo & Ehrlich, 2012; Zulch, 2014;
Djajalaksana, Zekavat & Moon, 2017).
Table 4: Influence of IC on project success.
ID IC usage Project success
level PS1 PS2 PS3
E01 Medium Positive Positive
E02 High Positive Positive Positive
E03 Medium Positive
E04 Medium Positive Positive
E06 Medium
E07 High Positive Positive Positive
E08 High Positive Positive
E09 Medium Positive Positive
E10 Medium Positive
% positive answers 66,7 33,3 77,8
5.4 Analysis of Project Approaches
We also categorized the projects according to their
approach: agile or waterfall. Table 5 presents the
project sample classified by the approach. The project
approach was used as a moderating variable, and the
analysis is made by research question as follows.
Table 5: IC and project approach.
Approach Inter-
viewee
Project success
PS1 PS2 PS3
Agile E01 Positive Positive
E03 Positive
E06
E09 Positive Positive
% positive answers 50 25 50
Waterfall E02 Positive Positive Positive
E07 Positive Positive Positive
E08 Positive Positive
% positive answers 100 67 100
Hybrid E04 Positive Positive
E10 Positive
% positive answers 50 0 100
(1) Agile Projects Approach.
Most respondents did not agree that informal
communication has a positive impact on the agile
approach. Therefore, we did not confirm IC influence
on agile approach projects. However, we could
confirm that this communication line highly
influences waterfall projects, as well it has an
influence on team members of hybrid approaches.
(2) Waterfall Projects Approach.
According to respondents, IC had a positive
influenced on all the waterfall projects. At first
glance, the results contradict common sense because
this approach promotes less communication with the
customer, given this communication occurs usually at
the end of each phase. On the other hand, in the agile
approach, due to the emphasis on communication, it
is possible to modify the functionalities during project
development.
The researched Bank has large experience on
waterfall projects, and it is widely well-known by its
employees. The use of the agile approach started only
recently. This is reasonable to infer that the low
experience of its employees with the agile approach
and all the IC it carries on had made the employees
understand the informal line as part of the process,
while on waterfall projects IC is an advantage.
5.5 Research Limitations
This section presents the limitations of the research
and its validity. They are mostly related to the data
analysis technique and the generalization of the
results:
(1) Data analysis technique. The data collected in
the interviews were analysed using the content
analysis technique. The interpretation of this data was
made by the author, which attributes subjectivity to
the results.
(2) Results generalization. All respondents belong
to a single company and constitute a small sample,
which does not allow generalization of the research
results to other companies, based on 10 people that
worked for software development projects.
6 CONCLUSIONS
The objective of this paper was to analyse the
influence of informal communication on the software
project success from both short and medium terms
perspectives within the context of one large Brazilian
banking. To achieve this goal, qualitative/descriptive
research was carried out using the content analysis
technique. This research was carried out with 10
Software Projects Success and Informal Communication: A Brazilian Bank Case Study
175
experienced professionals. The answers to the
research questions and the contributions of this paper
are presented below.
Two of the three research questions had
affirmative answers. Thus, it was confirmed a
positive relation between informal communication
and software project success when considerate both
efficiency and project staff aspects. This result is in
line with the literature which emphasizes the
importance of informal communication in projects.
On the other hand, unlike the literature, the
benefits were achieved in waterfall projects only, not
on agile projects. This is reasonable to infer that on
agile projects, in which the informal communication
is quite common, people might not see additional
benefits on “additional” informal communication.
These results also point out to the fact we should
perform deeper research on hybrid approaches, given
its not conclusive results.
This research points out on informal
communication positive influence on customer
satisfaction. Despite being cited positively in some
interviews, most respondents highlighted that formal
communication (i.e., the reverse of informal) is the
most important one when dealing with the customer.
Recovering that this result applies to software
development projects, it is possible to infer that part of
this formal communication tendency/preference to
overcome the challenges related requirements
definition through a less flexible process at all. Maybe
team members expected the benefit is to avoid software
specification and validation conflicts for instance.
The contributions of this research are to overcome
the issues and increase the benefits of making the
projects more successfully at larger organizations,
such as the researched Bank. As future works, we
suggest: to conduct quantitative research to inquire
the relationships suggested by this research, aiming to
the generalization of the results; to investigate the
other communication patterns in addition to the
formality line; to deep understand the specific cases
where informal communication benefits different
project approaches such as agile, waterfall, and
hybrid approaches.
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