71
Money talks: Communicaion Paterns
as Knowledge Moneizaion
Karl Joachim Breunig1 and Hanno Roberts2
Abstract
In this conceptual paper, we suggest that knowledge lows consitute the antecedences
of value creaion by means of its communicaion component. Knowledge is
increasingly being accepted as a source of value creaion and a difereniator
between irms. However, to a large extent, current approaches to management
and governance of knowledge resources prescribe measurements of the stock of
knowledge. Therefore, we suggest a bridge that connects current knowledge sharing
understanding with properies from communicaion theory, to explicate knowledge
in use through a communicaion paterns perspecive. Building on the perspecive of
knowledge as a low, and postulaing that value is based on knowledge use, rather
than knowledge possession, this paper addresses the research quesion: How can we
express knowledge in such a way that it can be moneized and made accessible to
speciic managerial intervenions? We explain how communicaion is instrumental in
capturing knowledge value and allows for a connecion with monetary value. Extant
literature on organizaional communicaion roles emphasizes the role of boundaryspanners in the search for and combinaion of experience and tacit knowledge.
Individual nodes in organizaional networks can possess knowledge. However, to
be valuable, the knowledge resources need to be deployed and uilized. The use of
knowledge will involve the communicaion of this knowledge through ies to other
nodes. The paper proposes that boundary-spanning roles provide a focal point for
such moneizaion eforts. The contribuion of this paper is six proposiions for future
research on how management accouning and control systems can be brought to
bear in their governable and calculable aspects if communicaion funcions are given
more atenion.
Keywords: boundary spanners; moneizaion; communicaion; knowledge lows;
knowledge sharing.
1 Karl Joachim Breunig, Professor, Oslo Business School – Oslo and Akershus University College, PB 4 St. Olavs Pl., N-0130
Oslo, Norway, e-mail: karljoachim.breunig@hioa.no.
2 Hanno Roberts, Professor, BI Norwegian Business School, Department of Accouning Audiing and Business Analyics,
Nydalsveien 37, N-0484 Oslo, Norway, e-mail: hanno.roberts@bi.no.
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/ Money Talks: Communicaion Paterns as Knowledge Moneizaion
IntroduCtIon
This conceptual paper combines and links insights from several diferent
disciplines, including communicaion theory, strategy theory, and
management accouning theory, to provide a framework for the moneizaion
of knowledge resources. We suggest that knowledge lows consitute
antecedents of knowledge-based value creaion and, subsequently, formulate
six proposiions to expound moneizing of knowledge resources.
Over the past decade, several eforts have been made to account for
knowledge as a resource. Many of these atempts have emphasized the
ownership of the knowledge resource and, consequently, its valuaion and
reporing, rather than the dynamic processes involved in the use of knowledge
(Breunig & Roberts, 2013). Meanwhile, managerial accouning endeavors
to account for knowledge as a resource tend to be limited to adoping
a management control perspecive, matching speciic aspects of knowledge
resource management against exising management control concepts of, for
example, uncertainty and one’s decision-making tool set (Diillo, 2004; 2012).
In contrast, our approach is based on a relaional premise and we argue
that because communicaion is the carrier of knowledge lows, it consitutes
the staring point in developing an approach towards knowledge-based
value creaion and, ulimately, towards moneizing the knowledge resource.
We claim that the relaional deployment of knowledge maters more than
how much knowledge one has ‘on inventory’. Such knowledge deployment
is grounded in communicaion paterns around a problem-solving efort,
possibly supported or triggered by an organizaional artefact such as an
informaion item (e.g., a report, a customer query, or a design blue-print). In
this paper, the organizaion is viewed as a networked patern of knowledge
lows with communicaion acing in a plaform role. This perspecive allows
for the ideniicaion of value creaion paterns which, in turn, allows for
moneizing knowledge by looking at the structural make-up of these paterns.
Building on a dynamic patern of knowledge lows and acknowledging that
value creaion is based on knowledge-in-use, this paper addresses the
research quesion: How can we express knowledge in such a way that it can
be moneized and made accessible to speciic managerial intervenions?
The paper’s core proposiion is that the communicaion paterns inherent
in social networks of knowledge sharing carry the rudimentary bases for
moneizing knowledge-value creaion. The later concept here adopts the
postulate that the role of management accouning and control systems is
a funcional technology for construcing a governable reality (Miller &
O’Leary, 1987) given its instrumental capabiliies towards moneizaion.
The paper contributes an extension of exising theory on intellectual
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capital and knowledge management by bridging it with social network and
communicaion theory. Indeed, this ambiion relates directly to unresolved
issues, and recent calls for research, in the knowledge management ield
(Cuozzo, Dumay, Palmaccio & Lombardi, 2017; Dwivedi, Venkitachalam,
Sharif, Al-Karaghouli & Weerakkody, 2011).
Knowledge management research encompasses diverse topics. A recent
review aricle aimed at idenifying current themes and future trends could
neither conclude that the ield was fragmening nor that a future dominant
theme was emerging (Lee & Chen, 2012). However, it remains to be
resolved how knowledge management, and indeed knowledge applicaion,
is related to value-in-use. Recently, the relevance of resolving this issue has
been emphasized by the digitalizaion trend threatening to disrupt the way
knowledge workers make their living (Christensen, Wang & van Bever, 2013).
Indeed, a recent review aricle idenifying four potenial future direcions for
knowledge management research point towards specifying the knowledge
process as a paricularly promising future direcion (Mariano & Awazu, 2016)
that relates to the complex combinaion of three disinct phenomena: social
capital, networks, and knowledge transfer (Inkpen, 1996; Inkpen & Tsang,
2005; 2016).
This paper relates directly to this discourse in that it aims to explain
how speciic communicaion roles are instrumental in capturing knowledge
value creaion and its subsequent moneizaion. The implicaion of this
extension is paricularly relevant for management control systems, based as
it is on a decomposiion logic of breaking down strategies into objecives,
targets, and performance metrics. Applied within the context of knowledgebased irms, this decomposiion logic reduces knowledge management
to a strategy implementaion problem, involving selecion of appropriate
responsibiliies, budget allocaions and performance measurement models.
The later (performance measurement modeling) has been a key tenant of
intellectual capital approaches in which it is treated similarly to the inancial
resource in terms of how it can be exploited or governed through a regime
of transacionable property rights and accompanying measurements and
reporing systems. Rather, we approach the issue diferently by taking a close
look at ‘knowledge-in-use’, focusing on the knowledge sharing phenomenon,
idenifying its relaional, networked, and communicaion aspects, and then
atemping to work towards moneizaion opportuniies.
The paper is built up as follows. First, we address diferent ontologies when
addressing assets, and how these ontological diferences afect the ability to
surmise knowledge lows. Second, we address knowledge value creaion as
knowledge lows and integrate theory on communicaion networks into our
line of argument, indicaing how the concept of boundary spanners can ofer
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a suitable vantage point for managerial intervenion. Third, the moneizaion
opportuniies related to the networked communicaion lows are discussed.
We conclude by discussing both the theoreical and pracical contribuions of
this paper, and the perspecives it develops for future research.
MethodologICal ConSIderatIonS
The aim of this conceptual paper is to build mid-range theory by detailing
a speciic line of argument. Rather than singling out a narrowly aimed
structured literature review to extract exising literature, our argument for
knowledge lows, as the antecedence of value creaion draw on a broad set of
disciplines and literatures. Therefore, consistency consideraions emphasize
the sequence of laying out the line of argument, and underpinning it with
reference to extant research. The essence of our approach is the credibility
of argument in this inducive theory building ambiion.
The line of argument, leading to six proposiions, is presented in the
following sequence. First, we address diferent ontologies when addressing
assets, and how these ontological diferences afect the ability to surmise
knowledge lows. Second, we address knowledge value creaion as
knowledge lows and integrate theory on communicaion networks in our
line of argument, indicaing how the concept of boundary spanners can ofer
a suitable vantage point for managerial intervenion. Third, the moneizaion
opportuniies related to the networked communicaion lows are discussed.
We conclude by discussing both the theoreical and pracical contribuions of
this paper, and the perspecives it develops for future research.
lIterature BaCKground and ConCePtS
ontologies of “assets” afect the ability to address the low of
knowledge
Within the ield of strategy, knowledge and competence form a strategic
asset for irms, with the term asset being used in a pluralisic way to signify
muliple processes and rouines (Nelson & Winter, 1982). In paricular, the
knowledge-based theory of the irm considers the irm itself to be a repository
(i.e., a big warehouse) for knowledge. That is, the irm funcions as a container
that bounds the various knowledge forms, types, and categories available
for deployment (Grant, 1996; Spender, 1996) with the container itself being
a luid enity that adapts to the content whirling within it (Teece, 2004). Issues
of asset ownership are considered of less importance than “control or access
to resources on a preferenial basis” (Helfat et al., 2007, p. 4)
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Conversely, within accouning theory, the deiniion of an asset is more
monisic, referring to a legal property right that can be exchanged via market
transacions (Schuetze, 1993). Typically, the monist accouning perspecive
of what consitutes an asset allows for an epistemology of value creaion in
which assets are building blocks that can be reconigured to opimize value
creaion. Meanwhile, it allows for an instrumentaion of the reconiguraion
process, by adding, merging, or transforming asset categories (Venkatraman
and Henderson, 1998). As such, it has the beneit of being able to address
instrumental quesions on, for example, asset development, deployment,
transformaion, transacion and the like, thereby opening up the conceptual
treatment of knowledge assets for operaional and managerial use (Bollinger
& Smith, 2001). Such use includes the ariculaion of knowledge assets
into monetary terms in such a way that assets are transduced from the
strategy ontology to a inancial ontology as occurs in mergers & acquisiions
and in joint ventures. This transducion will equip knowledge assets with
an instrumentaion that allows for moneizaion (e.g., goodwill or brand
valuaion) and, simultaneously, in the transducion process itself, lex the
kind of muliple epistemological muscle that is called for in deepening the
development of a knowledge-based theory of the irm (Spender, 1998).
One of the ontologies that monist accouning theory brings to bear on
knowledge assets is that of inancial categorizaion. It disinguishes assets
into ixed and current asset categories, based on a (ime of holding the)
property right criterion. Other categorizaions are equally possible, such
as tangible versus intangible assets, or purchased versus self-generated
assets with the problemaizaion of categorizaion criteria (i.e., what and
how to create relevant epistemological containers)—an important area for
transducion heurisic creaion (Grojer, 2001). The asset categorizaion used
for this paper is one based on (asset) stocks and lows. However, rather than
applying a dichotomy of (staic) stocks and (dynamic) lows, we employ
a coninuum in which (asset) stocks liquefy into (expense) lows and vice
versa. The classic example of this transformaion is asset depreciaion; over
ime, the asset stock decreases while the depreciaion expense increases.
Typically, the accouning heurisic is supported by a further categorizaion,
that of capitalizing expenses (puing them on the balance sheet as a stock
item) and expensing assets (puing them on the income statement as
a low item). Given that these accouning heurisics are moivated by
arguments of risk and uncertainty for proper value esimaion, the principle
of conservaism is applied. That is, a decision heurisic is used in cases of
high uncertainty to categorize transacional events as lows (expense the
item) rather than as stocks (capitalize the item). It is important to note that
‘value’ in accouning theory is singularly perceived as monetary value based
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/ Money Talks: Communicaion Paterns as Knowledge Moneizaion
on a market exchange transacion, while referring to principled arguments of
‘objecive’ measurement.
Returning to ‘knowledge assets’, the above implies that categorizing
knowledge as an asset would assume that it is of low risk and uncertainty—
an assumpion that is highly dubious given the dynamic nature and much
debated phenomenological status of knowledge, both of which are illustrated
in the many disparate eforts to measure it (von Krogh et al., 1998; Liebowitz
& Suen, 2000; King & Zeithaml, 2003). As a result, and for the purpose of
this paper, we emphasize knowledge as a low between knowledge users
rather than as replenishing or depleing a stock. Equally importantly, we
emphasize the dynamic nature of knowledge; the knowledge itself is changed
through its use each ime it lows between users. This interpretaion locates
our understanding of knowledge lows within the literature on knowledge
sharing, with each user having the potenial to add to the organizaion’s
shared knowledge (Ipe, 2003; Cabrera & Cabrera, 2002; Riege, 2005).
Stated diferently, knowledge sharing harbors an appreciaion rather than
a depreciaion mechanism with an ever-increasing value based on its use
(Hansen, 2002). This view resonates strongly with a learning ontology; the
more it is shared and used, the more we learn and the more its value is
increased (Yang, 2007; Ardichvili, 2008).
As for the low process itself, we adopt a network rather than a dyadic
perspecive on sharing. That is, there are muliple knowledge users who
share knowledge with one another within bounded networks or clusters
rather than one-on-one (Rowley, 1997; Cross et al., 2001). Users, thus, have
sharing porfolios in which knowledge lows are routed among diferent
users. Moreover, it implies that the level of analysis of our discussion is the
network per sé, thus allowing for arguments and consituing features that
pertain to networks as well as intra- and internetwork behaviors. There
is an implicit assumpion that knowledge-sharing networks create more
knowledge value than the simple dyadic sharing between two users. This
assumpion resonates with the interpersonal network literature and the
various social and behavioral assumpions that accompany it, including why
such knowledge sharing networks are ulimately important (e.g., innovaion,
value creaion) (Swan et al., 1999; Hildreth & Kimble, 2004). However,
here, we do not disinguish between formal and informal lows (knowledge
sharing) because we do not want to limit ourselves to the instrumentaion
opions that are bundled with the formal versus informal knowledge sharing
dichotomy.
We adopt three concepts in our line of argument, all centered on the
core concept of social networks: (1) relaions, (2) communicaions, and (3)
sharing. Briely, to create value out of knowledge, people need to relate to one
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another to communicate and share knowledge. Relatedness (‘connecivity’)
is therefore the basic premise upon which all other subsequent stages are
built. Relaional ‘capital’ and social networks thus provide the irst step
in building knowledge-based value creaion. The actual communicaion
paterns that are established within social networks then give rise to the
sharing of knowledge (experience, insights, and tacit understanding). Hence,
it is communicaion paterns that provide the second step. These paterns
develop and evolve towards a ‘meeing of minds’ in tackling tacit, sicky, and
hard to codify knowledge held by communicaion paricipants (Liyanage et
al., 2009). These ‘meeings of minds’ take the shape of (re)combinaions
and (re)coniguraions of new and exising knowledge and interpretaions
in which paricipants arrive collecively at a new level of understanding,
or a knowledge ‘innovaion’. This third step, thus, revolves around the
combinaions made within communicaion paterns, bringing desperate tacit
and codiied knowledge together. As such, the combinatory, sharing aspect
of communicaion paterns is considered to be a ‘personalized’ approach
to knowledge management (Hansen et al., 1999) that is highly reminiscent
of situated cogniion and learning (Brown & Duguid, 1991; Lave & Wenger,
1991). Therefore, the combinaions of tacit knowledge are highly localized
and coningent on context, but nevertheless are open to ideniicaion and
intervenion.
The three steps in our line of argument provide for an equal amount
of analyical approaches. For example, step one focuses on the arena of
knowledge-based value creaion: the ideniicaion of the primary imes and
places when and where relatedness (‘connecivity’) occurs. Typically, these are
meeings; including project meeings, debrief sessions, seminars, investment
evaluaions, milestone assessments, and problem-solving task forces,
among others. Usually, these meeings tend to be dominated by a speciic
agenda (e.g., solving a problem, launching a product, a campaign kick-of)
that mobilizes implicitly a wide range of formal and informal knowledge
resources. From the new product development literature, we know that to
be considered successful, such meeings need to comply with a series of
minimal requirements related to input diversity, a semi-open agenda, and
a paricipaive and collaboraive process (Houman & Balslev, 2009; Swink et
al, 2006; Cooper et al., 2004). We postulate that these arenas are aligned
with business aciviies and do not exist in a vacuum. That is, they are there
to create value even if this value is not clearly and unequivocally considered
or assessed upfront. Arenas as such are not ‘investment objects’ subject to
return criteria but part of processes of value creaion with these processes
created and jusiied for the aim of value creaion. That is, these meeings are
not talk for talk’s sake.
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The communicaion paterns that consitute the next step in our line
of argument are where the knowledge moneizaion possibility emerges.
Interpreted as social network structures in which these paterns are nested
or accommodated, the consituing nodes and ies and the classiicaion of
each category in terms of their characterisics provide the building blocks
for mapping out value creaion lows. For example, diferent nodes occupy
diferent posiions within networks, each having a predominant associaion
with a speciic acivity (Cross et al., 2001). A node can bind a network
together owing to its centrality in the network, with communicaion lows
going primarily through this central person or unit. Or a node can serve as
an inter-network link, fulilling a boundary-spanning role that allows for
diversity of knowledge interacion and the emergence of novel insights and
conclusions. Similarly, the ies between the nodes in a network signify how
loose or ightly knit a network is. Strong ies indicate an intense and frequent
communicaion patern, whereas weak ies indicate an infrequent and
random communicaion patern. Networks as such can be typiied according
to a number of characterisics apart from the characterisics of their
consituent parts. For example, the characterisics of centrality, density, and
bridging address the distribuion of nodes within networks while homophily,
muliplexity, and reciprocity describe connecions within networks. Hence,
social network characterisics promulgate a series of drivers in communicaion
paterns that can be used to diagnose the strength, cohesiveness, and focus
of a knowledge value-creaion efort.
Where earlier stages are ariculated in terms of communicaion
paterns (i.e., who talks to whom), the third stage expresses itself in terms
of combinatory criteria and, as such, allows for specifying opimizaion of
who talks best with whom; certain combinatory paterns are more likely
to result in successful soluions, insights, or proposals than others. This
third step resonates with research on opimal team composiion vis-à-vis
team performance; certain combinaions outperform others owing to their
members’ coniguraional characterisics (Mathieu et al., 2014; Hollenbeck et
al., 2004). In comparison with the focus on communicaion paterns in stage
two, the combinatory focus provides an addiional set of criteria that can act
as drivers for knowledge-value creaion, which can either predetermine or
leverage communicaion patern criteria and deine their potenial for use as
a metric in moneizing knowledge. However, for the purpose of this paper,
we limit ourselves to looking at steps one and two in developing knowledgebased value creaion, selecion of relaional (‘connecivity’) arenas, and
specifying appropriate communicaion paterns.
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Knowledge value creaion is relaional
According to Bonis (1999), knowledge originates from human capital and
is combined with other knowledge resources in relaional capital, being
harvested ulimately as organizaional capital in the form of new sets of
rouines, procedures, and managerial processes. Breunig and Roberts
(2013) surmise that knowledge value creaion is located within relaional
capital, combining individual knowledge in a networked fashion and based
on communicaion. Typically, eforts in managing relaional capital involve
establishing such communicaion networks, making them work, direcing
them, and maintaining them. Our main underlying proposiion is that the
social relaions among (groups of) people consitute a irm’s knowledge
value creaion process, while it is the communicaion within these people-topeople networks that provides the novel combinaion of hitherto separated
knowledge of perspecives upon which new business ideas and innovaive
pracices are based. In this context, we disinguish between concurrently
exising “contacivity”3 (between people) and “connecivity” (between
communicaion systems).
Within the ield of communicaions research, several of these processes
have been speciied and reined. For example, in the communicaion
model developed by Tucker, Meyer, and Westerman (1996), strategic
knowledge capabiliies are developed as the result of interpersonal
communicaion systems at an insituional level. Their model stresses the
role of organizaional rouines and managerial direcion, implicaing the
importance of management intervenion in authorizing and establishing
criical communicaion opportuniies and channels. Once communicaion
occurs, connecivity and contacivity are created, and subsequent stages of
combining knowledge can be entered, including knowledge sharing, experize
leveraging, and collaboraion (Cross & Prusak, 2002; Davenport & Prusak,
1998; Nahapiet & Ghoshal, 1998; Tucker et al., 1996). The communicaion
perspecive on knowledge value creaion revolves around the design features,
procedures, and rouines that establish intra-network connecions. Some of
these facets are codiied and embedded in informaion and communicaions
technology systems. However, many relate to concepts and methods outside
the domains of knowledge management, informaion and communicaions
technology, and communicaion theory. Examples are incenive systems for
knowledge sharing and work collaboraion, a project staing system that
engenders contacivity between people with diverse sets of interpretaions
and acion vocabularies, the meeing and debrieing methods used around
reporing systems within management control, and an intervenion style that
3 The term ‘contacivity’ was coined by Leif Edvinsson, a reputed author within the Intellectual Capital ield.
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is based on openness and involvement rather than entrenchment into job
descripions and other formally mandated responsibiliies.
In summary, knowledge value creaion through communicaion
networks requires pulling from a broad set of disinct disciplinary areas.
Criteria for soliciing conceptual and instrumental inputs revolve around
system connecivity and interpersonal contacivity in a sequenial, step-wise
manner, iniiaing from awareness to development, oten in pracical eforts
aimed at knowledge co-creaion (Kazi et al., 2007). It is perhaps ironic that
academic workshops tend to claim a similar knowledge co-creaion focus
(Hatcher et al., 2006).
Knowledge value creaion is communicaion based
Communicaion as a personalized process refers to the interpersonal transfer
of knowledge. From the perspecive of the irm, however, such interpersonal
exchange is understood as personal networking, with the irm’s role in
communicaion revolving around encouraging, allowing, bounding, and
focusing the development of such personalized communicaion networks.
Both codiied and objeciied knowledge as well as non-codiied and subjecive
knowledge are communicated via such networks. Thus, interpersonal
communicaion networks become the focus of a deliberate efort to manage
knowledge by combining diferent perspecives. But the quesion remains
of how can these processes be managed and followed up with management
accouning and control systems.
Research has indicated that irm level networks tend to revolve around
communiies, including communiies of pracice, collaboraion, interest,
and innovaion (Adler, Kwon & Heckscher, 2008; Ahuja, 2000; Inkpen, 1996;
Wenger & Snyder, 2000). These communiies are networks that are organized
around several ground rules, one of which is that of purposeful informaion
and experience sharing. Communiies of pracice can arise spontaneously
but can also be encouraged to develop by management through deliberate
design (Brown & Duguid, 2000). It is in the interest of management to develop
communiies that can be used as vehicles for more efecive informaion
and knowledge sharing, compared to the more hierarchical reporing
lows of typical organizaional responsibility structures (Stevenson, 1990).
The emergence of the community concept and its apparent usefulness in
informaion, experience, and knowledge sharing has triggered a large array
of applicaion areas, ranging from online communiies to civic communiies
in urban renewal and poliics (Putnam, 2000). The community of pracice
concept informs the present work in two ways: the community as a social
network of communicaion; and the community as an organizing format for
the structuring of communicaion lows.
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The social aspect of these communiies (i.e., the fact that communicaion is
interpersonal and personalized) provides a possibility to map communicaion
low paterns. Using Social Network Analysis (SNA), these maps outline who
communicates with whom, and with what frequency (Scot, 2000; Wasserman
& Faust, 1994). Actors (communicators) within these “communicaies” that
have high frequency counts can be classiied according to the roles they
fulil. Hence, we conceive of communicaion networks as stable communiies
over ime, and vice versa (i.e., communiies as communicaion networks)
(Brown, Broderick & Lee, 2007; Gillani, Yasseri, Eynon & Hjorth, 2014). For
communicaion networks to classify as communiies, network roles need to
develop over ime. Hence, the community becomes an organizing format to
group and classify communicaion. Consequently, we suggest that:
Proposiion 1: Knowledge value creaion is communicaion networkbased.
Knowledge value creaion by means of communicaion roles
Communiies conceived of as organizing formats for communicaion lows and
paterns are demarcated by the various roles that people take up within these
networks (Cross & Prusak, 2002). Each role is deined as creaing a certain
type of connecivity, with a disinct set of communicaion funcions. Breunig
and Roberts (2013) idenify four roles (i.e., central connectors, boundary
spanners, informaion brokers, peripheral specialists; Cross & Prusak, 2002)
in social networks that allow for the appropriate management of each
network. For example, the inclusion of the concept of boundary spanners
can accelerate the implementaion of a corporate-wide communicaion
system with boundary spanning individuals acing as gatekeepers to other
domains within the organizaion. Similarly, the informaion brokers within
a selected number of social networks can be asked to chair formal meeings,
thus propelling the distribuion and accelerated disseminaion of informaion
across consituencies. As these examples elucidate, idenifying the above
roles within social networks is followed by a selecion of which roles and
which networks are important for knowledge-based value creaion.
Although these roles are stated originally vis-à-vis people, they can also
be elaborated towards roles for typical organizaional formats. That is, an
item on the organizaion chart or within work process lows where crossfuncional coordinaion and exchanges occur. Such ‘organizaional arenas’
can be relaively low key, such as, meeings that have been systemaically
structured into worklows and occur with periodic regularity. But in contrast
to being based on an agenda deined by hierarchical reporing on formal
responsibility areas, these ‘arenas’ are deined by aciviies and shaped by
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a role towards (diversity of) interpretaions and requisite acions precipitated
by a dynamically changing context. For example, a customer order low might
be standardized as a formal acivity protocol, but with each new customer
requirement, variety and diversity are introduced, requiring a response
in terms of requisite knowledge deployment, such as a response based
on codiied (design or installaion blueprints) and/or tacit (prior personal
experiences execuing a similar job) informaion.
Moreover, a combinaion is equally possible. Personal roles may be
harnessed or leveraged by the roles of the organizing arenas. That is, people
can fulil boundary spanner or connector roles within networks, but organizing
arenas can take up these roles too. For example, a meeing sequence can
have a connector role within dispersed funcional knowledge areas or it can
have a boundary-spanning role across knowledge domains. Jones (2007,
chapter 4) holds that these ‘integraion mechanisms’ are already known
within the organizaion design discipline. However, they tend to be related
to the allocaion of tasks and responsibiliies to counteract the silo-efect
of funcional specializaion and, by purpose, are far less intended for the
exchange and sharing of insights, tacit knowledge, and experience. Therefore,
the organizing format of communiies has a diferent agenda and a diferent
purpose. This disincion is also revealed in how such organizaional arenas
are commonly ideniied, not on an organizaion chart, but in an acivity/work
low process map. The boundaries that these roles (fulilled by people and by
organizaional formats either separately or in combinaion) span determine
the diversity and richness of the tacit and explicit knowledge inputs that are
invoked in them. High diversity (of knowledge inputs) across all knowledge
dimensions requires the involvement of boundary spanning roles, with high
diversity increasing the potenial for novel knowledge creaion that, in turn,
increases the potenial for value creaion.
Therefore, with the aim of connecing monetary value to a irm’s
knowledge resources, idenifying a irm’s boundary spanners provides a irst
step towards moneizing knowledge-value based on communicaion. Though
all of the aforemenioned roles are relevant for knowledge exchanges to
occur, Breunig and Roberts (2013) suggest that the role of boundary spanner
is paricularly important. Boundary spanners bridge diferent knowledge
communicaions in which knowledge is produced and maintained, including
their related interpretaive schemata. Tushman and Scanlon (1981) indicate
that boundary spanners are individuals who maintain a high level of
contact with both the external environment and the internal organizaion,
enabling them to difuse, ilter, and translate informaion across domains.
Speciically, the translaion aspect is relevant as informaion is recast in
terms that can be understood and used by others (Allen, Tushman & Lee,
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1979). Translaion of work requires a ‘common syntax, code, or heurisic’
(Zhao & Anand, 2013: 1517), such as a value creaion conceptual toolbox and
accompanying constructs of value and proit drivers. Bringing this diversity of
knowledge, pracice, and learning together via boundary spanners provides
a high potenial to create new knowledge. Once eniies that will fulil the
boundary spanner roles within an organizaion have been ideniied, the
ies that connect diferent communiies and knowledge repositories can be
ideniied and made available for managerial intervenions (Obsfeld, 2005).
That is, idenifying and managing the boundary spanner roles fulils the irst
value creaion step originaing from connecivity. This supposiion implies
that there will be a boundary role ‘discovery’ process mediated through, for
example, network analysis or deliberate construcion (e.g., via a purposeful
organizaional design intervenion involving the establishment of ‘arenas’)
that creates a similar opportunity for conversion of knowledge into monetary
value. Similarly, the various ideas that are pulled together via boundary
spanner roles (and combined into novel knowledge coniguraions on that
speciic boundary spanning locaion) allow opportuniies for alternaive ways
of coniguring the monetary value encapsulated in each knowledge input to
be ideniied (e.g., in terms of business or pricing models). Consequently, we
suggest that:
Proposiion 2: Boundary spanner roles provide a vehicle for moneizaion.
Boundary spanner individuals
The concept of boundary spanners is interdisciplinary and not novel. For
example, within the communicaions discipline, they are someimes referred
to as “communicaion stars” (Tushman & Scanlan, 1981). Such “stars” are
able not only to connect, but also to translate informaion into a format
that conforms to an organizaion’s decision-making processes. Internal
communicaion stars are seen by their co-workers as being technically
competent and having work-related experize. These stars communicate
signiicantly more oten than non-stars with other areas in their close work
environment, in the organizaion as a whole, and with areas outside the
organizaion.
Considering the ideas of boundary spanners and communicaion
together, it can be said that boundary spanners act as bridges between
networks, and do so both intra-organizaionally and inter-organizaionally.
This bridging acivity refers to accessing and applying local knowledge across
domains of applicaion, combining it into novel understanding and insights.
Boundary spanning as an acivity is not enirely removed from the formal
organizaion design; people occupying a high hierarchical posiion tend to
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have more opportuniies for establishing internal and external organizaional
ies and, thus, are more likely to act as boundary spanners (Manev &
Stevenson, 2001). In other words, the exising organizaional hierarchy and its
corresponding responsibility design can act as a proxy for the uncovering of
boundary spanning roles rather than deploying a full-ledged social network
analysis. As a result, the internal responsibility accouning structure and
its accompanying reporing system coninues to be relevant for idenifying
moneizaion opportuniies (Gupta & Govindarajan, 1991). In paricular,
the communicaion and bridging aciviies of ‘bosses’ (management work),
provide low denominators for knowledge value creaion. Consequently, we
suggest that:
Proposiion 3: Communicaion paterns at boundary spanning,
hierarchical nodes in the organizaion structure, provide the irst opportunity
to iniiate knowledge moneizaion.
Some qualiicaions of boundary spanners include technical skills,
economic skills, legal skills, network knowledge about the partner, and
experienial knowledge gained through past interacions. Boundary spanners
conceived as persons rather than as organizaional formats, contain social
qualiicaions, such as being autonomous, being an extravert, and displaying
ambiguity-tolerant behavior in social seings. Typical communicaion
abiliies include conlict management, empathy, emoional stability, selfrelecion, and cooperaiveness. This list of individual characterisics can
be used to idenify boundary spanners by means of quesionnaires issued
within organizaions (Riter, 1999). For example, the authors of this paper
used such a quesionnaire to screen for boundary spanners as part of
a communicaions instrument developed for the Internaional Associaion
of Business Communicators (Roberts, Simic-Brønn & Breunig, 2003). Human
resource departments may possess in their skill and social proile databases
informaion that can be used as a irst-stage ilter to prescreen, idenify,
and target speciic individuals with the skill set and social characterisics
desirable for boundary spanners for a subsequent boundary-spanning survey
quesionnaire.
Boundary spanner arenas
Insomuch as boundary spanner roles at a personal, individual level refer to
“contacivity” in social networks, organizaional formats also can fulil this role.
Typically, this role encompasses deliberate informaion low intervenions
concentrated at a speciic ‘stoppage point’ within an acivity sequence or
protocol, such as a handover within a larger project that is accompanied
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by a milestone assessment (meeing, reporing, measurement) or a ‘stage
gate’ moment in a new product development process. This ‘stoppage point’
creates a natural organizaional arena that aggregates, combines, and
reconigures diverse knowledge inputs, commonly for subsequent use in
aciviies downstream of the ‘stoppage point’.
Purposeful design and the regular occurrence of the boundary spanning
arena with a declared agenda of knowledge sharing are key. Hence, it is not
a one-of moment related to a single project or special circumstance (as in
project management), but rather a regular and systemic feature of an acivity
stream across projects. Thus, boundary spanning arenas should be visible on
acivity low charts and embedded in organizaional rouines of knowledge
work in terms of systemic debrieing and ‘what did we learn?’ agenda points
and performance measures (Gasson, 2005). Although boundary spanning
arenas may not be represented on an organizaional chart, they can involve
speciic tasks and responsibiliies that are allocated to individuals or funcional
experize areas. Their exclusion makes sense because the boundary-spanning
role would break down if it were to be locked into a speciic domain,
liaison role, or task force responsibility that is bounded by an agenda of
coordinaion and the numerous standard operaing rules involving reporing,
key performance indicators, and budget accountabiliies. These arenas tend
to be located outside of exising, formal responsibility domains and at the
periphery of the organizaion’s focal aciviies, an idea which resonates with
exising percepions of where organizaional learning takes place (Lave &
Wenger, 1991). Consequently, we suggest that:
Proposiion 4: Idenifying communicaion arenas acts as a proxy for
boundary spanning, communicaion paterns for the purpose of knowledgebased value creaion, and its subsequent knowledge moneizaion.
Knowledge moneizaion opportuniies
The moneizaion of knowledge can be conceived of as a form of capital
conversion as inspired by Bourdieu (2008). Its aim is to exemplify the
reciprocal interdependence between knowledge and inancial resources
without geing stuck in a ‘the chicken or the egg’ primacy argument. Both
knowledge and inancials are interrelated, with one driving the other and
vice versa; inancial resources are needed to create originaing stocks and
receptor pools as well as to make sure that knowledge actually lows. Vice
versa, knowledge acively stored and mobilized within networks and ‘spun’
by boundary spanners acts as both a cost and revenue driver for a irm’s
inancial success. To paraphrase a ired management slogan, people might
be the organizaion’s most important resource, but one needs to be able
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to aford to convert knowledge carried by people into knowledge made
inancially producive for the organizaion. Ulimately, the argument here
is for the sustainability of a irm’s compeiiveness: the conversion of noninancial (knowledge) resources into inancial resources and back again is
essenial for being able to compete over ime (Allee, 2008). Thus, conversion
requires addressing how one can be expressed in terms of the other, showing
the interdependence of the two.
Knowledge networks and the role of the boundary spanner in creaing
reciprocal interdependencies necessitate a requisite conceptualizaion
towards the inancial domain in terms of networks and paterns. Typically,
such conceptualizaion addresses the area of cost behavior in which total
costs are categorized as the sum of ixed and variable costs, allowing for the
computaion of proit (costs < revenues) or determinaion of breakeven status
(costs = revenues). The paterns ideniied are related to the axiomaic form of
the two cost categories (including (dis)proporional, progressive, regressive,
and (non)linear costs or mixes thereof) following the canons of underlying
microeconomic cost funcions. As a result, paterns of cost behavior are
understood as independent variables in a cost funcion, but do not generate
a patern beyond the domain deined (bounded) by the variables. Networked
cost funcions or paterns that transcend the iniial domain of deiniion (e.g.,
a producion cost funcion, a logisics cost funcion, a sales cost funcion
etc.) are unfamiliar territory (Boons et al., 1992). However, we argue that we
can avoid this problem area by using an ideniied communicaion patern
as the template for a commensurate and requisite cost behavior patern.
That is, by layering two paterns, an underlying communicaion patern
and an overlaying cost patern, we can atempt to moneize the knowledge
that lows through the communicaion patern. Stated diferently, it is not
so much the knowledge itself that gets ‘costed’ but rather the ‘pipelines’
(paterns) through which it lows. This form of structural (behavioral)
equivalence implies that the characterisics of the communicaion paterns
are relected by corresponding characterisics in the structure of the cost
paterns. Thus, the characterisics of networked paterns in communicaion,
such as centrality, density, frequency, and bridging, ought to be relected in
cost behavior paterns.
At this point, an efort to establish ‘patern matching’ between the
communicaion domain and the inancial domain would beneit from avoiding
as yet too narrow deiniions. Rather than talking about ‘cost paterns’, it
would be beneicial to use a wider and more inclusive deiniion of ‘spending
paterns’. The diference is that spending simply means a inancial outlay
disregarding its origin as cash, a cost, or an expense. Consequently, we
suggest that:
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Proposiion 5: Moneizaion rests on patern matching and establishing
deiniional equivalence between characterisics of communicaion paterns
within social networks and spending paterns.
Spending paterns
For the purposes of this paper, we conceive of the organizaion as a network
of networks in which networked relaional clusters that can connect to one
another exist. We also conceive of networks as conduits for knowledge
transfer, with such transfer being moivated by and aimed at value creaion
(i.e., their purpose is legiimized upfront in the creaion of their ies) (Zhao &
Anand, 2013, p. 1518). Similarly, the organizaion as a ‘network of networks’
can connect to its external environment, which also consists of network
clusters. The boundary spanner role here is to develop connecivity between
network clusters with the relaive success of its connecivity expressed in
terms of membership: a well-connected organizaion has many memberships
across muliple consituencies and stakeholder groups (networks). The later
can be understood as a metric of the relaive success of organizaional-level
knowledge sharing and its ‘situated learning’. Conversely, an organizaion
(network of networks) that is not well connected will have barriers to
knowledge sharing and transfer due to its distance from relevant networks
and an absence of interfaces (connecions). Boundary spanners (individuals
or arenas) can be deployed to overcome this relaive isolaion and bridge
the distance. In social network theory, this issue is addressed in terms of
‘structural holes’: collaboraion produced by the bridging of networks with
disinct, non-overlapping knowledge repositories (Burt, 2002; Ahuja, 2000).
‘Structural holes’ are not necessarily desirable. An organizaion may choose
to isolate themselves, wholly or in part, for strategic reasons, such as for
protecion of proprietary knowledge or unique competencies.
Spending paterns can take one of two orientaions: inlows (revenues)
or ouflows (costs). Revenue paterns are commonly referred to as ‘revenue
streams’ with the paterns of relatedness let to the ideniicaion of ‘revenue
drivers’, which can be causally interdependent in their occurrence over ime
(e.g., Thrane, 2002; Douglas & Douglas, 2004). In this respect, much is made
of the use of “big data” to reveal paterns among revenue drivers. Typically,
the point of departure is (customer) buying behaviors available in customer
relaionship management systems. Similarly, typical accouning tools, such as
‘customer proitability analysis’ and ‘customer lifeime value’, are grounded
in prior knowledge of these revenue paterns.
Cost behavior paterns and their ideniicaion and visualizaion have
a long history given their background in microeconomics (Boons et al.,
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1992). This history also consitutes a barrier for change due to entrenchment
in convenional wisdom and canonical knowledge. Spending paterns are
intuiively understood in terms of their textbook meaning. However, we
suggest, speciically, that a recent development in the so-called ‘driver
hierarchies’ is relevant. The term cost driver was coined as part of the acivitybased cosing approach to cost allocaion, represening a link between
operaional domain aciviies and inancial resource consumpion in the
monetary domain (Foster & Gupta, 1990; Cooper et al., 1992). Drivers are
operaional factors that cause inancials. The issue then becomes idenifying
relevant cost drivers and assessing the causal relaionship between aciviies
performed and inancial resources consumed, that is, what leads to what,
and how far the causal chain of interdependence should be followed.
Within network research, the issue of costs is used primarily as a decisionmaking criterion for the efeciveness of connecivity, thus ignoring the
idea of paterns (Zhao & Anand, 2013). For example, when assessing the
efeciveness of knowledge transfer by boundary spanners, Zhao and Anand
argue that a ‘collecive bridge’ of boundary spanners is more efecive than
a single boundary spanner. Their criterion for efeciveness is the costs for
development and maintenance of network ies (i.e., connecivity), which
are considered to consist of training, travel, and IT support. Typically, these
costs can be viewed as interrelated; communicaion requires knowing who
to connect to (IT support), to meet physically or in virtual space (IT support,
travel), and to establish a common base condiion for understanding (training).
Zhao and Anand’s deiniion of knowledge complexity as ‘the extent of
interdependencies and interacions among diferent subareas of the totality
of the knowledge’ (based on Simonin, 1999) hints at a suggesion of cost
paterns as much as costs as stand-alone categories. ‘Collecive knowledge’,
which combines individual knowledge on speciic subject areas with the
knowledge of how to coordinate, share, distribute, and interpret the subject
area knowledge, provides yet a further basis for considering paterns rather
than individual cost categories or cost as a mere decision-making criterion.
As a result, a consequence of focusing on cost paterns is that it enables
knowledge to be considered as complex (as deined by interdependencies
among the encompassed knowledge areas), implying that knowledge
value should be considered as a combinatorial patern rather than a pointitem object or outcome (Tasselli, 2015). In other words, communicaion is
as muliplex as its network conduit, as is its substance of exchange and its
representaion as a patern. This concept preempts the quesion of whether
knowledge value creaion can be circumstanial or randomly incidental;
collecive knowledge deined as interdependencies already includes an
assumpion of contextual value-in-use.
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Moneizaion can be reduced into an efort to idenify drivers within
spending paterns, with the spending paterns in turn being driven by the
characterisics of the communicaion networks in which they operate. For
example, if the network is of high centrality (revolves around one or a few
individuals or arenas), high density (all communicaing paricipants are closely
related in ime and space), and high frequency (communicaion occurs oten),
then there are three spending drivers. Moreover, if the communicaion ies
between the paricipants are strong, a fourth spending driver is ideniied. The
spending patern that is the result of these four drivers is a muliplicit bundle
of four inancial origins that make up the structure of the communicaion
acivity: the central actors that iniiate, the paricipants that are structurally
near, the communicaion that is frequent, and the historical tenure of the
communicaion. Each communicaion driver has its own associated variable,
commited, and infrastructural spending levels that combine into an overall
spending patern that is a corollary of exising network characterisics.
Furthermore, in terms of spending paterns, moneizaion would
follow a network dynamic in that it has no hierarchy (top or botom), but
rather a center and a periphery. Dynamics are thus deined in terms of
centrifugal or centripetal forces (outward or inward). Spending paterns have
a corresponding dynamic in that the paterns muliply (grow) outward or
contract (shrink) inwardly. Obviously, a longitudinal perspecive is needed
to observe this dynamic with the spending paterns signaling knowledge
sharing and value creaion aciviies’ increasing or diminishing returns to
scale. Consequently, we suggest the following:
Proposiion 6: Spending paterns are proxies for knowledge sharing and
knowledge-based value creaion with communicaion network characterisics
acing as drivers and providing its longitudinal dynamics.
ConCluSIon
In this conceptual paper, we have addressed the research quesion: “How
can we express knowledge in such a way that it can be moneized and made
accessible to speciic managerial intervenions?” and disilled six proposiions
for future research on how accouning can be brought to bear onto the
governable and calculable aspects of knowledge management.
The contribuion of this paper is its addressing knowledge value creaion
at the level of communicaion lows within social networks. Networks
represent a meso-level between individual actors and the organizaion,
where the ideniicaion, visualizaion, and management of knowledge value
creaion can be operaionalized. Communicaion lows use the organizaional
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format of communiies of pracice, so-called “communicaies”, emphasizing
boundary spanners and other connecivity roles held within a communicaion
network (Hildreth & Kimble, 2004). The moneizaion of knowledge value
revolves around idenifying communicaion roles, each of which acts as
a point of origin of expense paterns that relect the knowledge value-creaion
process. Boundary-spanner expenses are expressed in inancial terms, with
expenditure paterns acing as mulipliers (not aggregaions) driven by the
communicaion paterns iniiated by a boundary spanner (role) within the
network. The fact that communicaion is a commonly exising funcion within
organizaions—supported by both technology and speciic human experize,
each with an accompanying set of databases— makes it a useful staring
point for operaionalizing knowledge value creaion.
In this paper, we propose that the boundary-spanning role brings
together diverse knowledge and provides a focal point for moneizaion
eforts. Extant literature on organizaional communicaion emphasizes the
boundary-spanner role in the search for and combinaion of tacit knowledge
and user experience (Tushman & Scanlon, 1981; Cross & Cummings, 2004;
Levian & Vaast, 2005). We address how the boundary-spanner role is
fundamental for this combinatory efort to occur. In addiion, we address
how these combinatory eforts within boundary-spanning roles can be
extended to communicaion-enhancing regimes at the organizaional
level. Moreover, we show how moneizaion itself relects a networked
characterisic as a combinatory perspecive (rather than convenional pointitem aggregaion) of lows. Therefore, we suggest that the argument starts
from the resource consumpion perspecive (i.e., cosing) rather than from
the commonly used valuaion or pricing perspecive. The visualizaion of
knowledge communicaion aciviies is important because it shows how the
knowledge resources of a irm actually low. The moneizaion aspect here
falls back on the ideniicaion of the various communicaion roles, among
which the boundary spanner role acts as a focal point for moneizaion.
Consequently, we do not claim to provide an instrumental algorithm that
converts knowledge into money. Rather, we intend to direct atenion toward
where to focus the conversion efort (boundary spanners), and how to build an
argument of primarily what to convert (communicaion) as well as indicaing
which form such a conversion might take (muliplying paterns). In doing so,
this work aims to bring the research and praciioner communiies within
the knowledge management ield closer together (Metaxiois, Ergazakis &
Psarras, 2005).
The pracical beneits of visualizing knowledge value creaion by means
of communicaion networks are twofold. First, the insight gained can be
used to improve accountability. Visualizing the exchange of knowledge
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within communicaion networks shows what one actually does, not what
one says they do or what instrucions/contracts/task descripions say one’s
role is nominally. This transparency allows for an immediate allocaion
of accountability with a subsequent ‘reality capture’ in terms of localized
metrics and relevant costs. The pracical beneit, thus, is not in suggesing that
spending on communicaion networks is equivalent to the creaion of value.
Rather, that value originates from looking at communicaion network roles
and spending paterns in relaionship to each other, with the implicaion that
close matches are preferable. This statement is open to empirical validaion
by future research. Second, communicaing the knowledge lows within an
organizaion to its external consituencies has an external and immediate
usefulness. It is a form of “turning the irm inside out” towards, for example,
customers and suppliers (notably in industrial and B2B markets), showing
how experize and knowledge resources are internally connected and made
producive, including how management coordinates, enhances, and directs
knowledge resource lows.
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Volume 13, Issue 3, 2017: 71-94
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/ Money Talks: Communicaion Paterns as Knowledge Moneizaion
Abstract (in Polish)
W niniejszym, koncepcyjnym, artykule sugerujemy, że przepływ wiedzy jest prekursorem tworzenia wartości poprzez swój komponent komunikacyjny. Wiedza staje się
coraz bardziej akceptowana jako źródło tworzenia wartości i różnicowania między
irmami. Jednak w znacznym stopniu obecne podejścia do zarządzania i zarządzania zasobami wiedzy wskazują na pomiary zasobów wiedzy. Dlatego postulujemy,
że aby zrozumieć dzielenie się wiedzą, trzeba zaczerpnąć z teorii komunikacji w celu
wypromowania słownictwa używanego we wzorcach komunikacji. Opierając się na
wiedzy jako przepływie, a postulując że wartość opiera się na wykorzystaniu wiedzy,
a nie na posiadaniu wiedzy, niniejszy artykuł opowiada na pytanie badawcze: „Jak
możemy wyrazić wiedzę w taki sposób, aby mogła być zmonetyzowana i dostępna
do konkretnych celów kierowniczych? Wyjaśniamy, w jaki sposób komunikacja ma
zasadnicze znaczenie w zdobywaniu wiedzy i pozwala na połączenie z wartością pieniężną. Dalsza literatura na temat znaczenia komunikacji w organizacji podkreśla
rolę, jaką odgrywają pracownicy przekraczający granice organizacji w poszukiwaniu
i połączeniu doświadczeń z wiedzą milczącą. Poszczególne węzły w sieciach organizacyjnych mogą posiadać wiedzę. Jednakże, aby być cennym, zasoby wiedzy muszą być
rozmieszczone i wykorzystane. Wykorzystanie wiedzy obejmie przekazanie tej wiedzy
poprzez powiązania z innymi węzłami. W artykule proponuje się, aby role rozciągające granice stały się centralnym punktem dla takich działań w zakresie monetyzacji.
Słowa kluczowe: pracownicy przekraczający granice organizacji; monetyzacja;
komunikacja; przepływ wiedzy; dzielenie się wiedzą.
Biographical notes
Karl Joachim Breunig is a full Professor of Strategic Management at Oslo
Business School, Oslo and Akershus University College. He received his PhD
from BI Norwegian Business School, and holds an MSc from the London
School of Economics. Prof. Breunig’s research focuses on knowledge based
value creaion, in paricular related to innovaion, management control, and
internaionalizaion of knowledge work. Contact: karl.joachim.breunig@
hioa.no.
hanno roberts is a full Professor in Management Accouning & Control
at BI Norwegian Business School. His research interests are in intellectual
capital, local informaion systems, and management accouning and control
of the knowledge intensive irm. Prof. Roberts serves on the editorial board
of several journals and teaches execuive and MBA courses internaionally.
Contact: hanno.roberts@bi.no.
Special issue: Knowledge Management - Current Trends and Challenges
Małgorzata Zięba (Ed.)