Notions on Knowledge from Networks:
Benchmarking in Public Sector
Pasi Hellsten
a
, Annamaija Paunu and Hannele Väyrynen
b
Unit for Knowledge Management, Tampere University, PO Box 541, FI-33014 Tampere, Finland
Keywords: Knowledge Management, Knowledge Sharing, Benchmarking, Public Sector, Process Development.
Abstract: Today many organizations have come to value knowledge as a production factor. Thus, there is a constant
need for getting the information in and sorted. The knowledge is based on the own operation and the
knowledge from external sources. Organizations are no islands but rather a part of their ecosystem. This means
they need data and information from within but also from outside. One way to acquire this is benchmarking,
done in networks, national and international. Organizations are advised to have a process for systematic
acquiring, analysing, and disseminating data and information from various sources to gain understanding
about their environment. This is needed to support decision-making to achieve organization’s objectives.
However, as environments and technologies evolve in a rapid pace, newer ways emerge and not all of these
are possible to be tried out. Benchmarking is a way to gather experiences from various directions so that the
own decision-making is able to make informed decisions. Benchmarking should be embedded in business
processes, so that the full effects thereof may benefit the operation. The paper is based on two studies
investigating development schemes in a city operation where benchmarking is a part of the development tools.
This paper brings up notions of the city’s way of approaching the organizational development and especially
benchmarking, but there are still questions to be answered. Literature on different approaches and findings of
these studies are to be combined to form a vision to better match with reality. Various issues like users’ active
involvement, and further analysis are needed to fully grasp the big picture. Practitioners can use the approach
to assess their current state of activities or planning the organization of benchmarking program.
1 INTRODUCTION
Public sector is about providing services (De Vries et
al., 2016; Higgins, 2017). This raises questions like
by and to whom, how, and for what price? This
scrutinizing manifests itself in having multiple angles
to the phenomena under scrutiny. The individuals
performing the tasks, knowledge workers, need
constantly reinvent themselves, innovate, to meet the
requirements set by various stakeholders (Shujahat et
al., 2018). A group of ‘customers’, i. e. taxpayers as
well as other funding sources form only one of these
angles and stakeholders; what do they get for the
money they pay. Other factors, such as reducing
resources, citizens’ expectations, and public pressure
result in the development need of operations
(Gunasekaran, 2005; Hellsten and Pekkola, 2019). To
operationalize all previous, not to mention measure
a
https://orcid.org/ 0000-0001-7602-1690
b
https://orcid.org/ 0000-0002-3636-280X
them, may prove to be difficult. One is advised to
optimize the use of existing knowledge in order to
make the best of it. Knowledge management (KM) is
about utilizing the knowledge assets and enable
rethinking the existing organizational structure in
order to do better (Alavi and Leidner, 2001; Ferreira
et al., 2018). KM is a recognized approach and tool
for public sector organizations and its importance is
growing constantly (Massaro et al., 2015).
Keeping in mind that as ‘one tends to get what one
measures’ and ‘one can develop what one can
measure’, it is advisable to scrutinize critically the
proceedings and their connection to the bigger picture
(Bouwers et al., 2012; Ward, 1996). In order to
accomplish this, various networks have emerged
(Carlsson, 2003; Loukis et al., 2016; Popp et al.,
2014). Public sector organizations, such as the city in
question, belong to various networks. The city we
198
Hellsten, P., Paunu, A. and Väyrynen, H.
Notions on Knowledge from Networks: Benchmarking in Public Sector.
DOI: 10.5220/0010690000003064
In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 3: KMIS, pages 198-203
ISBN: 978-989-758-533-3; ISSN: 2184-3228
Copyright
c
2021 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
observe confers with its immediate neighbours: cities,
towns and municipalities. The city, being one of the
largest in the country, belongs to a so-called Group of
Six, i.e. the six biggest cities in the country that are
thought to share some of the issues they each
confront. As a Finnish city it has a connection to the
Nordic network of cities and then there is also a larger
community, European community of cities in which
the city is a part of.
The objective of belonging to these networks is to
share experiences, learn from others, get new ideas
and even share forces in mutually beneficial
initiatives. Optimally to gain experiences from this
knowledge acquired from the networks means not
having always to make the same mistakes oneself and
to share one’s own experiences one has gathered
means the same for the other parties. Benchmarking
may be seen as a way to cover these activities
(Gunasekaran, 2005). Benchmarking is also a tool in
a larger repertoire of KM toolset.
We offer answers to the question: “How is
benchmarking perceived in Finnish public sector?”
by studying a large city in Finland and its decision
makers in relation to their networks. The aim is to
learn how and for what the city officials utilize the
networks in which the city is a part of. We point out
possible targets where there may still be room for
improvement. One contribution of this paper is that
the further discussion may find initiatives to start the
developments based on the notions we point out. We
collected spearhead-like issues where one might want
to start the improvements. The results of a qualitative
study show impacts, with a need for explicitly
articulated goals. Section 2 presents our theoretical
background. Sections 3 and 4 present the research
setting and methods, and our findings. Section 5
discusses the results.
2 THEORETICAL
BACKGROUND
Knowledge management is understood to mean a
process or a set of activities to collect, process,
organize, store, share and utilize knowledge in a way
that supports the decision-making in the best possible
way. That means activities on the individual and the
organizational level (Jääskeläinen et al., 2020). With
knowledge management the tacit knowledge in the
organization may be identified and later combined
with explicit knowledge. This may or may not include
also knowledge from external sources. The overall
objective is to support the organizational problem
solving, decision making and strategic development.
Thus, it may be stated that knowledge management is
a systematic and a holistic process that integrates and
combines technology and human aspects (Valkokari
and Helander, 2007). In today’s public sector
operation, in addition to mere improving the
operation, knowledge management aims to provide
means to better understanding of the needs of the
people and also to provide the people of the city with
better and more inclusive services in the most
resource-efficient and sustainable way. This is rather
often related to introducing newer ways of working.
The newer ways of working may refer to using
modern tools e.g. digitalization or merely to the
feature not having to do all on their own, being a part
of a network instead of being alone and operating in
complete isolation. Digital transformation refers to
rethinking the business models (Hellsten and Paunu,
2020). This covers executing daily practices,
processes, routines, and tasks. Digital transformation
affects resource allocation and operational execution
and may also prove to be an invaluable tool also in
utilizing organizations external networks (Agutter et
al., 2017). The use these tools with a network-related
activities and indeed operating as a part of a network
may translate to sharing information, experiences, but
also giving back from one’s own experiences, thus
keeping up a steady knowledge flow back and forth.
Benchmarking has established its place and
justification in organizations tool set when the
development activities are concerned (Kyrö, 2003).
Benchmarking is there to help the organization to
improve its performance and consists of phases
(Figure 1).
Figure 1: Benchmarking (Anand and Kodali, 2008).
As depicted in Figure 1. the phases include an
organized approach to the actions, e. g. various
validations and internal information gatherings, and
internal planning. The actual comparisons are only a
part in the process. There are numerous prerequisites
Notions on Knowledge from Networks: Benchmarking in Public Sector
199
for these actions laying the foundations. In practise
the full use of the model may prove to be challenging
due to other organizational issues, such as the primary
task and its demand of resources. (Bhutta and Huq,
1999).
Benchmarking may be applied to organizations
whether they are large or small in size, and either in
public or private sector. Benchmarking means
originally simply to compare one’s development
scheme to that of good, well-chosen counter-parts
(Gunasekaran, 2005). These comparisons may be
made with competitors, peers or similar from the
same or from a neighbouring branch, and in public
sector especially, organizations of the same size and
form.
3 RESEARCH SETTING
The case organization, city of Tampere, is the third
largest city in Finland. Tampere is situated in middle
Finland and is the largest inland centre in the Nordic
countries. Tampere and its neighbouring
municipalities together called Tampere Region are
home to close to half a million inhabitants. Tampere
mentions in its city website that “Tampere is one of
the three most rapidly developing regions in Finland.
It is a centre of leading-edge technology, research,
education, culture, sports and business.” (tampere.fi).
The case study concentrates on how the
knowledge and data acquired from benchmarking is
gathered, processed and utilized across the city’s
decision-making processes. The paper deals with the
usage of benchmarking, its benefits, challenges and
process in a city’s organization. The studies behind
this paper contain interviewees who are
representatives of different service areas of the city
but also contact persons to various national and
international networks. The interviewees’ positions in
the organization’s hierarchy vary from coordinators
on the operational level to the upper management
formulating the strategic decisions including both
‘corporate executives’ and political position holders.
The city has expressed the explicit wish of making
its network activities properly. The work and learning
in and from the (inter)national networks should be of
high standard. Equally this should be integrated to
city’s organizational processes. The aim is to more
effectively use learning from peers, national and
international, to support the city’s development
schemes be it on strategic or tactical level. The
university was engaged to study the related programs
and initiatives to clarify the present state and to
formulate possible operation re-directing actions.
The interviews were semi-structured and thematic
both face to face and electronically executed (MS
Teams -tool) interviews. The interviews were
conducted during the two research initiatives, first
during the spring 2018 and the second between
December 2020 and January 2021. First batch of
interviews entailed 20 interviews each lasting about
60 min. and the second one entailed 30 interviews of
similar duration. The interview material was analysed
with content analysis by multiple researchers and
discussed through to see whether the message and
answers as a whole were understood unanimously.
Before and during the interview period the relevant
documented materials were studied to provide the
researchers with the background information but also
to clarify the basic settings more thoroughly.
Additionally, a virtual seminar with the above-
mentioned Group of Six was conducted. The aim of
the workshop was to discuss and gather experiences
from various cities concerning benchmarking; how
cities benchmark, how new knowledge is
disseminated, how well new ideas and experience
take root in different cities.
4 FINDINGS
The possible benefits of benchmarking are widely
acknowledged in the city of Tampere as are the
positive outcomes of networking activities. The
interviewees brought up many concrete ideas on how
to improve operation on multiple levels. The level
here refers to the individual tasks, activities in an
office but also the operation on even larger scale,
sometimes they may concern the whole service area,
depending on which level the network and the
discussions there are concentrated on.
Very important feature regarding the
benchmarking is the support and a mandate from the
highest level. The similar notion is known from the
change management literature, to offer the true
justification to the activities (Kotter, 2007). This
gives a backrest for the individuals taking part in the
network activities but also for presenting the emerged
thoughts and ideas to the ‘home office’. The
interviewees reported this being the case. They felt
that the organizational support was there. Having said
that, the interviews tell us that the activity is not
managed to perfection. This applies similarly to the
reporting of the experiences gathered in the network
events. All the activities are roughly based on the city
strategy but the implementation varies and clear
guidelines are missing. In addition, the various
service areas and their managers have a slightly
KMIS 2021 - 13th International Conference on Knowledge Management and Information Systems
200
different view on how to make benchmarking happen
and how to make the full use of it. Similarly, the
reporting varies; should an individual be a more
organized person perhaps s/he makes the paperwork
after an international meeting more thoroughly and
may even report to the supervisor whereas the person
not quite so, may just give an oral report of the
proceedings at an opportune moment. The
discrepancy causes uneven realization of the activity.
To summarize, it may be stated that the early parts of
the Benchmarking cycle (Figure 1.) the following
conclusion may be drawn: in team formation, subject
identification, and validation the recognized benefits
include coming up with new ideas, piloting, clarifying
the big picture of the proceedings. However, there are
also recognized challenges in these early phases:
scarcity of resources, the actions are more likely to be
random and not systematic. Also, the tacit knowledge
which resides in individuals is not easily exploited for
the organizational objectives. Language and cultural
issues may also cause additional challenges.
The resources are one obvious factor affecting the
benchmarking in all phases of the cycle. The
resources here mean financial, temporal, and personal
issues. The service areas all have their budgets which
may or may not limit the activities and their width.
Similarly, the time each person has for networks and
benchmarking there in addition to her/his other
routines, varies. Thirdly, the attitude towards this
kind of networking activity and the mere personality
of the individual in question seems to affect the
outcome of the benchmarking activities too.
This gives the feeling that even if the persons are
the representatives of the city in a network,
benchmarking is not always seen as a valuable part of
the actual tasks one’s job description entails but rather
an add-on to the multitude of other tasks that one has
to execute.
Pre-benchmarking and benchmarking phases in
the middle of the cycle present as benefits the
strengthening of international networks, increased
trust in and of the cooperation amongst them. Also,
the sense of developing operation and actions
together, the change in individuals’ attitudes are
counted to be among the benefits and lessons learned.
However, there are also challenges in the realization
of these phases: cultural and system differences,
comparability, bureaucracy, resources, all of which
may dampen the eagerness to execute benchmarking
effectively.
In the latter phases of the cycle, action plans,
implementation, outcome and continuous
improvement following features emerge as
recognized benefits: new ideas, learning, trust,
networks, positioning. Similarly, some challenges are
to be acknowledged: how to ensure systematic data
collection. Also, the neglected use of applications and
executed documentation are recognized as worrisome
points. Matchmaking (regarding both knowledge and
actors) is challenging, how could it be ensured that
the right forums are found and right individuals are
participating in them.
One crucial feature in making benchmarking
successful is the courage of the network members to
present also the failed attempts on developing the
operation. If there was an experiment that went bust
or initiative that proved to be costly, or resource
demanding, and one is willing to share these
experiences really delving into the causes and
circumstances, true lessons are to be learned. One is
more prone to present success stories, which are also
good, but the lessons learned from cases how not to
do something, are always welcomed warmly. In one
instant, on the grass-root level where the activity was
well received and organized this was not a problem
even if the individuals were different. This varies
quite a bit. We, the people, are different: some are
more courageous to admit our imperfections and
some are not. Should this be written down in a manual
on how to do benchmarking it might ease the actual
process.
5 DISCUSSION
Knowledge management is an invaluable tool for
public sector organizations where the various
stakeholders present conflicting pressures for the
operation and the development thereof. The constant
competition where the financial restraints, various
increasing demands and political aspirations meet
means dire straits indeed. The possibilities to make
mistakes in the chosen way of operating under the
fluctuating circumstances is notable. Thus, it
becomes evident that the more information, and that
refined to knowledge, is available, the better.
To save the scarce resources and to learn newer,
better, ways of working, forming networks and
benchmarking, provides appropriate tools. Public
sector organizations are rarely in a directly competing
position with one another. Also, the word public’
bears significance, the financials tend to be public.
This means that they may share the information and
learn from one another without having to fear the
exposing major business critical data to others.
As mentioned, the six biggest cities have similar
mode in operating, have more or less same issues, and
wrestle with similar problems. Their strategic
Notions on Knowledge from Networks: Benchmarking in Public Sector
201
objectives, their networks and methods are quite
same. Similarly, the concrete operation in these cities
proved to be much the same. There is no one
organized way of how the benchmarking is to be
conducted. From the knowledge management
practises there is the gathering of the data, sometimes
referred to as empirical material, and the organizing
thereof (Choo, 2002; Hellsten and Myllärniemi,
2019). Each area may have a different way of doing
this, even inside of one city. The systematic way, or a
model, is not there. We offer a possible approach for
the future benchmarking activities (Figure 2.).
Figure 2: Proposed approach for public sector
benchmarking.
This is a condensed version of the theoretical
models found in the literature and presents a
simplified way of organizing the actions. A notable
detail is that the outcome includes also the decision-
making based on discovered results of the inquiries.
This might offer an answer to the issues found in
the interviews where the systems and applications are
reportedly being used sporadically. In some cases
there are some form of tool sets in use, however, quite
often this is not the case. The applications are not
utilized to their full capacity to say the least. The
effective organization of the knowledge forms the
basis for the effective knowledge dissemination,
which in turn, is a starting point of well executed
knowledge-based management. Based on the
research the knowledge sharing, the results from the
benchmarking, are unevenly distributed and
sometimes in an occasional manner. Of course, there
are weekly meetings in teams, in some cases in
service areas, and a bit more seldom management
teams where these issues may come up. Or not.
As a summary, the amount of tacit knowledge is
large. This means that the knowledge indeed resides in
people. The phenomenon is recognized and only when
acknowledged it may be addressed so that the
organization may benefit from the vast knowledge base
that is the employees (Nonaka and Takeuchi, 1995).
The future step may be to define the present state of
knowledge management by e.g. employing a
questionnaire regarding this and elaborate the findings
thereof and thus formulate a road map for the future
endeavours in this area. Benchmarking is an obvious
asset of implementing KM in the city’s operation and
especially the improvement of the operation.
REFERENCES
Agutter, C., van Hove, S., Steinberg, R., England, R., 2017.
VeriSM-A service management approach for the digital
age. Van Haren.
Alavi, M., Leidner, D.E., 2001. Review: Knowledge man-
agement and knowledge management systems: Con-
ceptual foundations and research issues. MIS Q. 107–
136.
Anand, G., Kodali, R., 2008. Benchmarking the bench-
marking models. Benchmarking Int. J.
Bhutta, K.S., Huq, F., 1999. Benchmarking–best practices:
an integrated approach. Benchmarking Int. J.
Bouwers, E., Visser, J., Van Deursen, A., 2012. Getting
what you measure. Commun. ACM 55, 54–59.
Carlsson, S.A., 2003. Knowledge managing and knowledge
management systems in inter-organizational networks.
Knowl. Process Manag. 10, 194–206.
Choo, C.W., 2002. Information management for the intelli-
gent organization: the art of scanning the environment.
Information Today, Inc.
De Vries, H., Bekkers, V., Tummers, L., 2016. Innovation
in the public sector: A systematic review and future re-
search agenda. Public Adm. 94, 146–166.
Ferreira, J., Mueller, J., Papa, A., 2018. Strategic
knowledge management: theory, practice and future
challenges. J. Knowl. Manag.
Gunasekaran, A., 2005. Benchmarking in public sector or-
ganizations. Benchmarking Int. J.
Hellsten, P., Myllärniemi, J., 2019. Business Intelligence
Process Model Revisited., in: KMIS. pp. 341–348.
Hellsten, P., Paunu, A., 2020. Digitalization: A Concept
Easier to Talk about than to Understand.
Hellsten, P., Pekkola, S., 2019. The Impact Levels of Digi-
talization Initiatives. EGOV-CeDEM-EPart 2019 109.
Higgins, B., 2017. Reinventing human services: Commu-
nity-and family-centered practice. Routledge.
Jääskeläinen, A., Sillanpää, V., Helander, N., Leskelä, R.-
L., Haavisto, I., Laasonen, V., Torkki, P., 2020. Design-
ing a maturity model for analyzing information and
knowledge management in the public sector. VINE J.
Inf. Knowl. Manag. Syst.
Kotter, J.P., 2007. Leading change: Why transformation ef-
forts fail. Harv. Bus. Rev. 85, 96.
Kyrö, P., 2003. Revising the concept and forms of bench-
marking. Benchmarking Int. J.
Loukis, E., Janssen, M., Dawes, S., Zheng, L., 2016. Evolv-
ing ICT and governance in organizational networks-
Conceptual and theoretical foundations. Electron.
Mark. 26, 7–14.
KMIS 2021 - 13th International Conference on Knowledge Management and Information Systems
202
Massaro, M., Dumay, J., Garlatti, A., 2015. Public sector
knowledge management: a structured literature review.
J. Knowl. Manag.
Nonaka, I., Takeuchi, H., 1995. The knowledge-creating
company how Japanese companies create the dynamics
of innovation. Oxford University Press, New York.
Popp, J., Milward, H.B., MacKean, G., Casebeer, A.,
Lindstrom, R., 2014. Inter-organizational networks: A
review of the literature to inform practice. Calg. IBM
Cent. Bus. Gov.
Shujahat, M., Ali, B., Nawaz, F., Durst, S., Kianto, A.,
2018. Translating the impact of knowledge manage-
ment into knowledge-based innovation: The neglected
and mediating role of knowledge-worker satisfaction.
Hum. Factors Ergon. Manuf. Serv. Ind. 28, 200–212.
Valkokari, K., Helander, N., 2007. Knowledge manage-
ment in different types of strategic SME networks.
Manag. Res. News.
Ward, J.A., 1996. Measurement management: what you
measure is what you get. Inf. Syst. Manag. 13, 59–61.
Notions on Knowledge from Networks: Benchmarking in Public Sector
203