Investigating Knowledge Management in the Software Industry: The
Proof of Concept’s Findings of a Questionnaire Addressed to Small
and Medium-sized Companies
Danieli Pinto
1
, Mariana Oliveira
1
, Flávio Bortolozzi
1,2
, Nada Matta
3
and Nelson Tenório
1,2,3
1
Knowledge Management Master’s Program of UniCesumar, Av. Guedner, 1218, build 7, Maringá, Paraná, Brazil
2
Institute Cesumar of Science, Technology, and Innovation, Av. Guedner, 1218, build 11, Maringá, Paraná, Brazil
3
University of Troyes, 12 rue Marie Curie, Troyes, France
Keywords: Knowledge Management, Proof of Concept, Questionnaire, Software Industry.
Abstract: The software industry is dynamic and complex, so they need to use the knowledge to excel in a highly
competitive market. Thus, the knowledge well managed brings the organization a sustainable and
competitive advantage. Knowledge Management (KM) processes can avoid knowledge lost since they
provide knowledge flow for the whole organization. These processes are supported by practices and tools
promoting the creation, retention, and dissemination of the knowledge within the organizational
environment. The objective of this study was to validate, through a proof of concept (POC), a questionnaire
to investigate the processes, practices, and tools of KM in SME-Soft. The questionnaire was evaluated by
fifty-one professionals and KM experts from the software industry. Our findings point out that the
questionnaire is suitable for the software industry.
1 INTRODUCTION
Over the last few years, the organizations recognize
the knowledge as an asset which adds value to
products and services. In this sense, the knowledge
has been considered relevant for the business
advantage (Del Giudice and Maggioni, 2014). Thus,
the individuals are responsible for encouraging
content creation and the updating of existing
knowledge (Chang and Lin, 2015). The Knowledge
Management (KM) sets an approach to ensure the
full usage of the organization’s knowledge base
(Dalkir, 2011). So, KM is crucial to maintaining and
enhancing the performance of organizations
(Muthuveloo et al., 2017), becoming relevant to
integration between developing software and its
operational deployment (Colomo-Palacios et al.,
2018).
The software industry companies are
characterized as highly-competitive, dynamic, and
activities that use knowledge intensively (Nawinna,
2011). Aurum et al. (2008) state that the knowledge
circulating within a software development teams is
dynamic and evolves according to technology,
organizational culture, and changes in software
development processes. Thus, KM prevents those
organizations of knowledge loss (Bjornson and
Dingsoyr, 2008). Therefore, regardless of the size of
the company successful results in creating and
maintaining software depends on the KM since the
individuals’ knowledge is directly related to the
product development, management, and technology
(Aurum et al., 2008).
In this scenario, small and medium-sized
software industry companies (SME-Soft) which their
success is directly related to the knowledge,
experience, and skills of their owners and employees
(Wee and Chua, 2013). Thus, SME-Soft is not able
to practice KM in the same way as large
organizations due to its organizational culture and
structure. Like that, it is relevant to investigate the
practices, processes, and tools that SME-Soft to keep
their knowledge flowing.
Previous research has established means to
investigate KM process within organizations,
providing a diagnosis of the KM processes and
practices such as Bukowitz and Willians (1999),
Vestal (2002), Fonseca (2006), and Nair and Prakash
Pinto, D., Oliveira, M., Bortolozzi, F., Matta, N. and Tenório, N.
Investigating Knowledge Management in the Software Industry: The Proof of Concept’s Findings of a Questionnaire Addressed to Small and Medium-sized Companies.
DOI: 10.5220/0006925000730082
In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 3: KMIS, pages 73-82
ISBN: 978-989-758-330-8
Copyright © 2018 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
73
(2009). However, those works were not mainly
designed to investigate KM within the SME-Soft.
Besides, the proposals follow specific
methodologies to be carried on and too
overwhelming to be answered, requiring the help of
an expert. Moreover, the outcomes of those
proposals also require much time to be understood
and interpreted.
Therefore, this paper aims to validate and refine a
questionnaire to investigate the processes, practices,
and tools of KM within SME-Soft. For this, we
carried out a proof of concept (POC). The POC is a
best practice to improve questionnaires or tools in
both experimental studies and commercialization of
new technology products, helping to identify
problems which compromises the results of studies
(Kendig, 2016). The POC works as ‘pre-test’ of the
questionnaire, evidencing deficiencies, such as
ambiguous, poorly designed or double (Aaker et al.,
2001). Thus, the POC provides the sense concerned
its structure, content, applicability, and of how long
each participant takes to answer it.
The remainder of this paper is structured as
follows. In the next section, we present the related
works of investigating KM in the organizations
through the questionnaires. Section 3 presents our
method to design the questionnaire and to perform
the POC. Section 4 presents the results of our paper
and, finally, section 5 presents our conclusions
followed by the references.
2 RELATED WORKS
A way to find out where is the knowledge and how
individuals use it within the organization is
identifying the KM process. According to Oliva
(2014), as important as understanding where
knowledge is revealed, is to understand where
knowledge is established. In this sense, evaluating
KM practices in an organization means measuring
what has been done by it (Khatibian et al., 2010).
Demchig (2015) states that KM means
understanding and deepening knowledge about
organizational processes and what their
contributions to knowledge generation are. The
author emphasizes that knowledge is an asset of
constant evolution and as organizations share new
experiences, they learn, and advance and then the
new understandings are gained.
Siadat et al. (2016) state the need to map the
relationship between theory and KM practices
carried out by the organization to show how it
works, how it performs its operations and also the
path covered by the information and knowledge.
Khatibian et al. (2010) show that many
organizations are practicing KM, but they do not
recognize their practices as a relevant context
organizational, while other organizations even speak
about practices but use minimal efforts to achieve
success. Freeze and Kulkarni (2005) go on that KM
is not just a management of intellectual assets, but
also the processes that act on them including the
development, storage, use and, especially, sharing
knowledge which, in this case, involves the
identification and analysis of availability and
desirable assets, with the sole purpose of achieving
the organizational objectives.
Bukowitz and Willians (1999), Vestal (2002),
Fonseca (2006), Nair and Prakash (2009), and APO
(2009) propose different models to investigate KM
process and practices within the organizations.
Those models aim to diagnosis how the organization
manages and controls its knowledge (Freeze and
Kulkarni, 2005) through an organizational
knowledge overview (Siadat et al., 2016).
In this sense, Bukowitz and Willians (1999)
propose a KM diagnosis through a set of subjective
questions to the organization. All the questions are
then later ranked, tabulated, interpreted, and
discussed. The authors divide the KM diagnostic
model into two dimensions namely tactical and
strategic. The tactical dimension is consisting of the
knowledge obtaining, using, learning, and
contributing. The strategic dimension consisting of
the evaluate, build and maintain the knowledge
within the organization.
Vestal (2002) provides a detailed roadmap to
help organizations design, implement, and sustain
their knowledge addressed either by organizations
that are implementing or have already implemented
KM. First, the model provides the step-by-step for
the development and implementation of the strategy.
Second, the model acts as an adjustment tool,
providing a diagnosis of the knowledge situation in
the organization. For this, the model presents four
phases namely call to action, development of the
KM strategy, design and implementation, and
expansion and support.
Fonseca (2006) proposes the model called
Organizational Knowledge Assessment Methodology
(OKA) in which aims to assess and measure the
performance of an organization concerning KM
through a questionnaire. The model has three
dimensions based on people, processes, and systems,
and the results, presented in a radar chart, show the
strengths and weaknesses of the KM in the
organization.
KMIS 2018 - 10th International Conference on Knowledge Management and Information Sharing
74
Nair and Prakash (2009) propose the Knowledge
Management Facilitators’ Guide. The authors
suggest a methodology for the implementation of
KM addressed to small and medium-sized. The
method consists of three levels namely accelerators,
KM processes, and results.
While supporting KM investigation and
diagnosis through the questionnaires, most of the
models are split into different dimensions. Those
dimensions aim to identify some improvement
points categorizing the results of the KM models
used for facilitating its interpretation and
understanding. In this sense, Pinto et al., (2016)
suggest six dimensions to investigate KM within
SME-Soft as follows.
KM Perception Dimension. According to
Davenport and Prusak (1998), KM has to support
companies’ strategic plans explicitly. Moreover, KM
establishes the understanding regarding individuals’
knowledge to be used and aid the decision-making
processes within the companies (Serna et al., 2017).
Thus, this dimension aims to investigate the
participant’s perception regarding KM within their
organization.
Organizational Knowledge Identification
Dimension. This dimension is essential to investigate
if the individuals know where they find the
knowledge which they need. The companies’
knowledge is unique, i.e., there are not two or more
companies with the same knowledge (Capaldo and
Petruzzelli, 2015). In this sense, it is crucial to
identify the organizational knowledge and map it in
the organizational environment. Therefore, this
dimension aims to investigate the flow of the
organizational knowledge and shows its origin.
Organizational Knowledge Storage Dimension.
This is addressed to store individual knowledge
getting it explicit through different means such as
documents, manuals, databases, etc. Wiig (1993)
states that the companies’ knowledge must be stored
in knowledge bases or repositories to become
explicit. Thus, knowledge associated with abstract
concepts is coding by experts and indexing in
databases to make it more tangible for the whole
members of the organization. Thus, this dimension
aims to investigate ‘where’ and ‘how’ the
knowledge is stored, and what kind of tools the
companies use to store their knowledge.
Organizational Knowledge Recovery Dimension.
This dimension consists of retrieving the stored
knowledge to supply the individual’s needs
regarding information (Yagüe et al., 2016).
Moreover, the information retrieved give the
individuals means to build a new knowledge (Choo,
2006). Thus, this dimension presented aims to
investigate the knowledge recovery checking
whether individuals usually recover the knowledge
stored in the organization.
Organizational Knowledge Sharing Dimension.
It considers that the organizational knowledge is
dynamic and dependent on social relationships for
knowledge creation, sharing, and use (Ipe, 2003).
Furthermore, the organizations have different
individuals with different expertise, experience, and
necessities. So, the knowledge cannot be lost, and it
is necessary for the organizations to stimulate
sharing practices offering favorable conditions for
creation, sharing and use of the knowledge (Zhang
and Jiang, 2015). So, this dimension aims to enhance
the organizational knowledge among the individuals.
Finally, KM Practices and Tools Dimension. KM
practices are a set of activities conducted by the
organization to improve the effectiveness and
efficiency of the organizational knowledge resources
(Andreeva and Kianto, 2011). On the other hand, the
tools aim to support those practices. Perez-Aros et
al. (2007), go on that “tools must support
communication appropriately, collaboration, sharing
and searching activities related to relevant
information and knowledge”. Therefore, this
dimension aims to identify how often which
companies use the KM practices and also what sort
of tools are used to subsidize these practices.
While offering useful means to investigate and
diagnosis KM within the organizations, the
questionnaires suggested by the previous works are
too complex, extensible, and not focused on SME-
Soft once they not contain specific questions to
software development companies. In this sense, we
present our questionnaire addressed to SME-Soft,
and validated and refined by a POC.
3 METHOD
The questionnaire was grounded based on previous
works by Bukowitz and Willians (1999), Vestal
(2002), Fonseca (2006), Nair and Prakash (2009),
and Pinto et al. (2016), and the questions are
addressed investigate KM processes, practices, and
tools within SME-Soft. We present the complete
questionnaire in the Appendix.
3.1 Questionnaire Design
We designed the questionnaire according to steps
suggested by Aaker et al. (2001). Afterward, we
organized the questionnaire in Google Forms tool
Investigating Knowledge Management in the Software Industry: The Proof of Concept’s Findings of a Questionnaire Addressed to Small
and Medium-sized Companies
75
arranging it in two sections to facilitate data
collection and analysis. The first section brings
questions about the profile of the participants
through sixteen questions regarding education, age,
gender, how long the participant works in the
organization, and position. The second section in six
dimensions proposed by Pinto et al., (2016). The
dimensions were structured considering that the
knowledge of the organizations is inside the people
and needs to be identified, organized and stored so
that it is not lost, and can be recovered and shared
whenever necessary. Table 1 presents an overview
of the questionnaire before the POC showing the
sections and dimensions followed by its goals and a
description of the questions. Finally, the Appendix
presents the complete questionnaire.
3.2 Data Collection
The participants were invited to cooperate with this
research during a software local productive
arrangement meeting attended by companies'
members located in the Northwest Region of Paraná,
Brazil. The local productive arrangement has more
than three hundred small and medium-sized
companies associated. At the meeting were present
members of fifty-three companies in which ten of
them got interested in collaborating with the
research. All participating companies are software
vendors having between 10 and 25 years old
operating in the market with local clients and also
clients across Brazil. After the meeting, we e-mailed
the participants a brief of the research containing
goals, methods, data needs to collect, and the time
estimation for each participant to answer and assess
the questionnaire. The companies could point out the
individuals to participate in the POC according to
their availability. The questionnaire was assessed
following a scheduled. We designed seven questions
which were used as a driver of the questionnaire
assessment as follows.
1. How long did you take to answer the
questionnaire? Do you think this time to
respond was reasonable?
2. Do the questions fit for the software industry?
3. Does the questionnaire fit for the software
industry?
4. Would you rule out a question? Why?
5. Would you add any questions? Why?
6. Is the questionnaire relevant to your organiza-
tion?
We carried on data collection between July and
August of 2016. We visited each company, we
accessed the questionnaire in the Google Forms, and
then we ‘gave’ the questionnaire to each participant
answer it by themselves in a private room. All
participants data were kept in secrecy, and we
cannot identify them through the answers. Each
participant also received a hard copy of the
questionnaire, which made it possible to follow up
the questions and some notes during the POC. We
also invited a KM expert to assess the questionnaire
in which we just emailed it to this person.
3.3 Data Analysis
We organized all the data into spreadsheets. Firstly,
we analyzed the first section of the questionnaire
regarding the profile of the participants, e.g.,
education, age, gender. Secondly, we analyzed the
answers to the six dimensions in order to identify the
processes, practices, and tools of the participants.
Finally, we analyzed the questionnaire assessment
by the participants carefully through the content
analysis technique as suggested by Neuendorf
(2016) and our empirical findings are described
following.
4 RESULTS
The POC was answered by fifty-one workers from
different software companies and one KM expert
with over 20 years of experience in academic
research. The profile of the POC participants is
presented in Figure 1.
The Figure 1(a) shows the age of participants
ranged between 24 and 50 years old. The largest age
group was between 36 and 40 years, i.e., 38% of the
participants. The Figure 1(b) presents the degree of
education of the participants in which 28% are
bachelors, 57% have MBA in the area in which they
work, and 8% have master’s or Ph.D.
Moreover, the Figure 1(c) shows that 37% of the
participants are project managers, 16% are software
development, and 28% is responsible for any area,
e.g., leadership team, director, and CEO. Finally, the
Figure 1(d) shows that 85% of them have worked for
the current company for more than three years, and
43% of them have experience in their current
position for more than seven years. Therefore, all
research participants have a precise knowledge of
their position within the organization.
KMIS 2018 - 10th International Conference on Knowledge Management and Information Sharing
76
Table 1: Overview of the questionnaire before the POC.
Section Dimension Goal Description
Background
questions
Sample
characteristics
Identify the profile of the
participants.
There were sixteen questions related to age,
gender, education, the position held in the
company, time of experience in the position, and
working time.
KM within
SME-Soft
KM Perception
(KMP)
This dimension aims to show
the participant’s perception
of the knowledge and the
KM within the
organizational environment.
There were thirteen yes or no affirmations and
one open question to investigate the perception
of the KM's concept, relevance of the knowledge
for the organization, knowledge usage within the
organization, practice of KM,
areas/department/sectors where KM is practiced,
KM practices and monitoring by the
organization, and whether KM is a part of the
management organization strategy.
Organizational
Knowledge
Identification
(OKI)
This dimension aims to
verify if knowledge
identification is a practice
within the organization.
There were eight questions which six adapted
Likert Scale (Likert, 1932), two yes or no, and
two open questions. All of them addressed to
investigate the frequency in which the
organizational problems are solved, how often
problem solvers use the sources of knowledge,
whether team members know where to get a
knowledge required, whether all team members
express their ideas, and whether ideas are used in
the software development process.
Organizational
Knowledge
Storage (OKST)
This dimension aims to
investigate if the
organization stores a
knowledge acquired.
There was one open question, one adapted Likert
Scale question (Likert, 1932), and two yes or no
questions. All of them related to the storage and
maintenance of knowledge within the
organization.
Organizational
Knowledge
Recovery (OKR)
This dimension shows if
stored knowledge is
recovered within the
organization.
There was one adapted Likert Scale question
(Likert, 1932), and one open question to
investigate knowledge recovery by the
individuals.
Organizational
Knowledge
Sharing (OKSH)
This dimension investigates
if the knowledge is shared
and comprehensive among
the team members within the
organization.
There were five yes or no questions and one
adapted Likert Scale question (Likert, 1932)
regarding organizational motivation to store
knowledge, exchange information between team
members and other individuals in the
organization or the external environment.
KM Practices and
Tools (KMPT)
This dimension presents
which practices and tools,
currently used by people, are
aligned with KM within the
organization.
There were twenty classic Likert Scale
affirmations (Likert, 1932) related to the KM
practices carried out in the organization (e.g.,
knowledge coffee, capturing ideas, coaching, a
bank of individual skills, as well as the
evaluation of the competency management
system and reporting questions). Also, there
were nineteen classic Likert Scale (Likert, 1932)
affirmations regarding tools to support the
practices of KM (e.g., database, blogs, skype,
handbooks, notice board, chat, facebook
messenger, reports, virtual bulletin board, video,
virtual forums, Kanban, virtual collaboration,
text, intranet, Canvas, e-mail, WhatsApp, official
documents).
Source: The authors.
Investigating Knowledge Management in the Software Industry: The Proof of Concept’s Findings of a Questionnaire Addressed to Small
and Medium-sized Companies
77
(a) Age of the Participants (b) Education of the Participants
(c) Position of the Participants in the Company (d) Length of Service Professional Experience
Figure 1: Profile of the participants.
4.1 POC Findings
The POC of the questionnaire resulted in interesting
findings in which we divided in five categories as
answer time, remove questions, add questions,
relevance of the question, relevance SME-Soft, and
further considerations.
Answer time. One of questionnaire strength
reported by the participant is its answer time. We
took the answer time of the participants, and they
took around 18 minutes to answer all questions on
average. The shortest recorded time was of 14
minutes (P13, project manager) and the highest of
was 42 minutes (P14, user support manager).
Considering the questionnaire's answer time, the KM
expert pointed out that it was quite reasonable.
Removing questions. The participants suggested
removing questions in the dimension OKI. A
development leader observed two questions
investigating similar subjects, i.e., questions 2.4 and
2.8 (see Appendix). A human resource manager and
a project manager also observed those similar
questions, and the project manager highlighted that
“similar questions could discourage the participants
to continue answering the questionnaire”. Moreover,
three of the participants suggested to keep one of the
questions and discard the other, since both were
similar, but none of them indicated which question
to exclude. Inversely, the KM expert observed that,
although some questions are similar, there were no
reasons to take out those questions since they appear
in different dimensions with different goals.
However, the KM expert suggested changing the
order of the questions in the first dimension,
observing that the sequence could be more
systematic and logical.
Adding questions. When we asked the
participants regarding the needs to add questions, a
project manager suggested adding one question
exploring which companies adapt to address the
problems that arise when performing their daily
activities. An operation manager said he would not
KMIS 2018 - 10th International Conference on Knowledge Management and Information Sharing
78
add anything, however, stressed that the terms used
to investigate actions and practices sometimes
confuse. Still, for that manager, this is a
disadvantage for those who do not know what KM
is. An administrative leader said that some open
question should be added in the KMPT dimension to
investigate the use of other practices that are not
listed in the questionnaire. Also, another project
manager missed some questions about the results
obtained with the KM tools usage and the
performing of KM practices. Inversely, the KM
expert did not miss any questions.
Relevance for SME-Soft. All participants
observed that the questionnaire is entirely relevant
for SME-Soft. For instance, one of the project
managers considered conducting the questionnaire to
his team to ‘perceived what needs to be improved’.
In this context, the participant human resource
manager stressed that the questionnaire provides a
step forward. Another project manager and
administrative manager pointed out that the
questionnaire is provocative once they need to think
about whole organizational processes.
Further considerations. The participants made
further considerations regarding the questionnaire. A
software developer observed that the questions in
dimension OKST and OKSH looked like similar,
and those dimensions could be unified. Besides, a
support manager suggested changing the word
‘organization’ for all questions by ‘your department’
or ‘your team’ to be more specific and to get the
questions clearer. Curiously, all the participants
observed that they got some insights while
answering the questionnaire. For them, the
questionnaire increases the visibility of the
respondents regarding KM processes, practices, and
tools leading them to reflect about the organization
processes, recognizing KM tools usage, and getting
ideas how the KM could open new grounds if
applied within their team. It reinforces the
importance of a questionnaire addressed specifically
for SME-Soft.
4.2 Refining the Questionnaire
After the POC, we analyzed all the participants’
considerations and carried out following adjustments
in order to refine the questionnaire.
Firstly, we updated the question’s order. We
changed the order of the questions in the dimension
KMP following the KM expert’s suggestion
facilitating the understanding of the questions once it
begins from the specific to the general theme. Also,
the question 2.5 in the OKI dimension was moved to
dimension OKSH once that question was related to
knowledge dissemination (see Appendix).
Secondly, we removed some questions. Based on
our analysis, we decided to remove from the
questionnaire three questions as follows. The
question 2.4 from dimension OKI once it was
similar to the question 2.8 of the same dimension.
Also, we removed the question 2.2 from dimension
OKI because it was similar to question 4.2, the
dimension OKR (see Appendix).
Thirdly, we added two new questions in the
dimension KMPT. The questions enable the
participant informs other practices and tools adopted
by the organization and also not listed in that
dimension. Thus, the question added is ‘Could you
inform other practices/tools which your team use
daily and are not listed above?’ (see Appendix).
Finally, we decided do not unify the dimensions
OKST and OKSH once they have different
objectives, as observed by the KM expert.
Moreover, while KM requires a holistic view, we
also decided not to change the term ‘organization’
by different terms as suggested one of the
participants.
Therefore, the results achieved here show that
the questionnaire is relevant and adequate for the
SME-Soft. The participants highlighted that the
questionnaire helps them to understand KM
processes, practices, and tools within SME-Soft,
getting some insights to carry on KM with their team
within the organization.
5 CONCLUSIONS
This research carried out a POC to refine and
validate a questionnaire addressed to investigate KM
processes, practices, and tools in SME-Soft. As
results, the participants suggested some improve
points in which we analyzed and accepted several of
them. Curiously, we also find out that while the
participants were assessing the questionnaire, they
had some insights regarding KM processes and
practices performed by their organization. In
addition, the strength of the questionnaire was the
answer time. Moreover, all the participants
considered the questionnaire very relevant to
investigate KM within SME-Soft. However, one
limitation of this work was the lack of conducting
interviews with participants. For the future work, we
intend to broaden our sampling and also conduct
mixed methods performing interviews with KM
experts and practitioners and with software industry
workers aiming to refine further our questionnaire.
Investigating Knowledge Management in the Software Industry: The Proof of Concept’s Findings of a Questionnaire Addressed to Small
and Medium-sized Companies
79
ACKNOWLEDGMENTS
Our special thanks to Cesumar Institute of Science,
Technology, and Innovation (ICETI - Instituto
Cesumar de Ciência, Tecnologia e Inovação),
Maringá, Paraná, Brazil. We also thanks to
Programa de Suporte a Pós-Graduação de
Instituições de Ensino Particulares (PROSUP) of
Coordination for the Improvement of Higher
Education Personnel (CAPES - Coordenação de
Aperfeiçoamento de Pessoal de Nível Superior),
Brazil.
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APPENDIX
KM Questionnaire to SME-Soft
KM Perception Dimension (KMP)
1.1 Have you heard about knowledge management
in any lecture, course, meeting, or conference? Y/N
1.2 Do you know what knowledge management is?
Y/N
1.3 Is knowledge management currently a topic of
interest to the organization? Y/N
1.4 Does the organization understand that
knowledge is a resource of the organization? Y/N
1.5 Is it fact that knowledge is stored in people? Y/N
1.6 Does conduct knowledge management practices
by the organization? Y/N
If the answer is YES
1.6.1 How long are knowledge management
practices in the organization?
1.6.2 Are all areas aware of the organization's
knowledge management practices? Y/N
1.6.3 Are knowledge management practices carried
out in all areas of the organization? Y/N
1.6.4 Does the organization have a defined vision
or justification for the practice of knowledge
management? Y/N
1.6.5 Knowledge management is aligned with and
is part of the organization's management model?Y/N
1.6.6 Does the organization continually and
systematically assess knowledge management
practices, identify weaknesses, and define and use
methods to eliminate them? Y/N
If the answer is NO:
1.6.7 Do you know if there are plans to implement
projects on knowledge management in the
organization? Y/N
1.6.8 How soon will the project be implemented?
Organizational Knowledge Identification Dimension
(OKI)
2.1 How often do employees often turn to colleagues
within the organization to solve problems?
Always/Frequently/Sometimes/Rarely/Never
* 2.2 How often do employees use other sources of
knowledge (intranet, internet, database, manuals) to
solve their problems?
Always/Frequently/Sometimes/Rarely/Never
2.3 Employees know “who knows what” within the
organization, making it clear where to look for
specific information? Y/N
* 2.4 What resources do employees use to obtain
information?
2.5 Do all employees express their ideas?
Always/Frequently/Sometimes/Rarely/Never
2.6 Are employees’ ideas taken into account for the
organization’s decision-making?
Always/Frequently/Sometimes/Rarely/Never
2.7 Is the involvement of customers in the process of
creating and developing new products and services a
well-established practice in the organization?
Always/Frequently/Sometimes/Rarely/Never
2.8 How does the organization disseminate
information or knowledge to its employees?
Organizational Knowledge Storage Dimension
(OKST)
3.1 What resources does the organization use to
store knowledge?
3.2 Knowledge storage media is updated:
Always/Frequently/Sometimes/Rarely/Never
3.3 Does the knowledge storage space in the
organization have a structure that enables everyone
to contribute? Y/N
3.4 Is the knowledge stored in the organization
intended for all sectors of the organization? Y/N
Organizational Knowledge Recovery Dimension
(OKR)
4.1 When people are given the task of researching
information in the organization, are they able to do
it? Always/Frequently/Sometimes/Rarely/Never
4.2 Where do people usually look for information on
the company?
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and Medium-sized Companies
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Organizational Knowledge Sharing Dimension
(OKSH)
5.1 Does the organization motivate its employees to
share information with each other? Y/N
5.2 Do all employees in the organization share
information with each other? Y/N
5.3 Is the workspace designed to promote the flow
of ideas between workgroups? Y/N
5.4 Are people afraid to share their knowledge with
other colleagues in the organization? Y/N
5.5 Does the organization support group activities?
Y/N
† 5.6 (previously 2.5) Do all employees express their
ideas? Always/Frequently/Sometimes/Rarely/Never
KM Practices and Tools Dimension (KMPT)
KM Practices
Knowledge coffee (1/2/3/4/5)
Communities of practice (1/2/3/4/5)
Knowledge map (1/2/3/4/5)
Mentoring (1/2/3/4/5)
Brainstorming (1/2/3/4/5)
Capturing ideas (1/2/3/4/5)
Adoption of best practice (1/2/3/4/5)
Peer Assist (1/2/3/4/5)
Peer Review (1/2/3/4/5)
Storytelling (1/2/3/4/5)
Coaching (1/2/3/4/5)
Internal Benchmarking (1/2/3/4/5)
External Benchmarking (1/2/3/4/5)
Meetings (1/2/3/4/5)
Competency management system (1/2/3/4/5)
Bank of individual skills (1/2/3/4/5)
Technical improvement courses (1/2/3/4/5)
Lectures, training and workshops (1/2/3/4/5)
Balanced Scorecard (1/2/3/4/5)
Reporting (1/2/3/4/5)
Could you inform other practices which your team
use daily and are not listed above?
KM Tools
Database (1/2/3/4/5)
Noticeboard (1/2/3/4/5)
Virtual bulletin board (1/2/3/4/5)
Virtual collaboration spaces (1/2/3/4/5)
E-mail (1/2/3/4/5)
Blogs (1/2/3/4/5)
Chat (1/2/3/4/5)
Video (1/2/3/4/5)
Text (1/2/3/4/5)
WhatsApp (1/2/3/4/5)
Skype (1/2/3/4/5)
Facebook Messenger (1/2/3/4/5)
Virtual forums or discussion lists (1/2/3/4/5)
Intranet (1/2/3/4/5)
Official documents (1/2/3/4/5)
Handbooks (1/2/3/4/5)
Reports (1/2/3/4/5)
Kanban (1/2/3/4/5)
Canvas (1/2/3/4/5)
Could you inform other tools which your team use
daily and are not listed above?
* Questions removed (strikethrough).
Questions added.
Questions moved to another dimension.
Questions coming from another dimension.
Likert Scale: (1) Strongly disagree; (2) Disagree;
(3) Neither agree nor disagree; (4) Agree; (5)
Strongly agree
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