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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>A Feasibility Study for the Semantification of Cyclic Compliance Knowledge Transfer between Multinational Organizations</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Nicole Looks</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andreas Korger</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>BakerMcKenzie</institution>
          ,
          <addr-line>Claude Debussylaan 54, 1082 MD Amsterdam</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University of Würzburg</institution>
          ,
          <addr-line>Am Hubland, D-97074 Würzburg</addr-line>
        </aff>
      </contrib-group>
      <abstract>
        <p>In a variety of scenarios the transfer of knowledge between diferent organizations is aspired. There exist theoretical concepts that describe cyclic processes of knowledge management and knowledge transfer. In this work a conceptual symbiosis of both is presented. A semantic description of the knowledge transfer process is suggested extending accepted standards. A strategic concept of identifying characteristics to assess the chances of a successful knowledge exchange is presented. Theoretical concepts are undermined by a case study about the transfer of compliance knowledge between two international organizations for the safe and compliant handling of employees dogs at the workplace with the intention of improving the overall working atmosphere.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Knowledge Management</kwd>
        <kwd>Knowledge Transfer</kwd>
        <kwd>Semantics</kwd>
        <kwd>Compliance</kwd>
        <kwd>Strategic Organizational Analysis</kwd>
        <kwd>Ontologies</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>In this work a strategy for the semantification of a cyclic compliance knowledge exchange
between organizations is presented. This strategy aims to create a semantic model that
organizations interested in knowledge exchange can use to optimize this task. Naturally, it is important
to respect the knowledge management culture of all organizations taking part in the exchange
relationship. For this reason, the strategy is oriented at the knowledge management cycle of
the participants. The process of knowledge exchange is cyclic because most often this is not a
matter of one single exchange task but a relationship is built with ongoing mutual exchange.
Figure 1 shows two organizations A and B that both have an own knowledge management
culture represented by the two individual knowledge management cycles. The contribution of
this work is to assess whether it is possible to unite them into a semantic model that helps to
structure the process of a cyclic knowledge transfer and optimizing it by identifying chances
and conflicts in the workflow.</p>
      <p>
        After a research of examining the available literature connected to this work a theoretical
concept was developed that unites the theory of the knowledge management cycle [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] with the
theory of the knowledge transfer cycle [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. Out of this unification a meta knowledge classification
tool was created that helps to identify barriers and opportunities of a knowledge transfer
relationship. The tool gives a basic classification of knowledge about the exchange of knowledge.
      </p>
      <p>Utilize</p>
      <p>The rest of this paper is organized as follows: in section two the theoretical concept of the
cyclic knowledge transfer assessment matrix is presented. We explain the model with the help
and its connection to the two diferent knowledge cycle models. In section three we describe the
domain of workplace compliance of animals and its expected quality for evaluation purposes.
We present an example of the application of the semantic model in this context. Section four
presents a concluding review with a selection of related and ground laying work to this one,
ifnished by future work.</p>
    </sec>
    <sec id="sec-2">
      <title>2. An Approach for Cyclic Knowledge Transfer</title>
      <p>Important characteristics that hold as a fundamental guideline for knowledge transfer processes
are the elements of the knowledge management and the knowledge transfer cycle. We use these
elements to construct a matrix structure to identify similarities and contradictions for a specific
transfer task.</p>
      <sec id="sec-2-1">
        <title>2.1. The Knowledge Transfer Matrix</title>
        <p>In Figure 2 the single transfer of knowledge from organization A to organization B is replaced
by a cyclic process dividing the transfer into diferent steps. In this manner the cycle is passed
through and with every passage the relationship between the two organizations has the chance
of improvement.</p>
        <p>The overall goal of the eforts is to find (tacit) generic patterns that aid to facilitate the transfer
of knowledge. Therefore, we assume that the synergies and conflicts of a known transfer task
are also likely to occur in other similar transfer tasks. This makes it interesting to gather
information about past knowledge transfer processes. We thereby have the intention to find
synergies that made the overall knowledge transfer successful and strategies that helped to
solve conflicts.</p>
        <sec id="sec-2-1-1">
          <title>Utilize</title>
          <p>Learn
and capture
Identify
and value</p>
        </sec>
        <sec id="sec-2-1-2">
          <title>Discover</title>
          <p>Transfer
and apply
Validate
and
document</p>
        </sec>
        <sec id="sec-2-1-3">
          <title>Learn</title>
          <p>Publish
and share</p>
          <p>The matrix depicted in Table 1 matches knowledge management and knowledge transfer
elements of both organizations for a specific transfer task. Synergies are marked with “+” and
conflicts are marked with “-”. In this manner the characteristics of the transfer task are captured
in a systematic way.</p>
          <p>E</p>
        </sec>
      </sec>
      <sec id="sec-2-2">
        <title>2.2. Cyclic Semantic Model of Knowledge Transfer</title>
        <p>The approach we suggest for the semantification for the before described scenario is depicted
by Figure 3. Transfer tasks (3) are marked with a property that describes the state of the task.
For instance, the transfer task of legal knowledge sharing is in the state conflict (4). If an entity
has done its part of solving the conflicts it passes the transfer task to the adverse entity B and
vice versa (5). In this manner all of the conflicts are solved or the transfer process rests in the
state with the least conflicts possible.</p>
        <p>Conflicts are characterized by ofended compliance rules. A knowledge transfer process
consists of many transfer tasks. To manage these transfer tasks they are hierarchically organized
into sub-tasks. Organizational entities (2) and compliance rules (1) are handled analogously.
At this point other semantic models can be integrated that are capable to express this internal
structure.</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>3. Case Study - Transferring Compliance Knowledge about Dogs at the Workplace</title>
      <p>The spark for this work was the question: What needs to be done to establish the possibility for
corporate employees to take their dog with them to the workplace? Dogs are of great benefit for
the well being of people. In this regard it is assumed that dogs can contribute to a good working
atmosphere, also for employees that do not own dogs. Additionally, the life of employees who
own dogs is facilitated because they do not need to arrange dog sitters on a regularly basis.
Thus, big companies like Amazon and Google started to allow employees to bring their dogs to
the working place. What might not be worth a discussion in a small company turned out to
4
hasState: Conflict</p>
      <p>Compliance Rules</p>
      <p>B
Organisational Entity</p>
      <p>E</p>
      <p>B
be a topic containing deeper impact than obvious at the first glance when it comes to medium
sized and big companies.</p>
      <p>In larger organizations compliance rules are necessary to guarantee a safe and convenient
working together of animal and human. After all, what made this topic interesting for the
research in the field of knowledge management are the following characteristics.
∙ Diversity: We observed that the topic is handled very diferently even in the same
organization. Dogs are for instance allowed at Amazon in the United States but not at
Amazon Germany. Whereas other major companies do not allow animals at the workplace
at all.
∙ Public Knowledge: A lot of the knowledge concerning animal safety is available because
institutions publish compliance documents on their websites. Additionally, there is a
public interest in this topic. Especially in Northern America and Europe hundreds of
millions of dogs are owned, for which reason, media and social discussions pick up the
subject.
∙ Understandable Knowledge: At first sight the topic seems shallow in terms of content
but we state that this makes it easy to observe on a simple subject how knowledge transfer
can happen and later apply it to more complex domains. Similarly like to observe nerve
functions in very simple animals like worms and use this knowledge to understand the
functioning of more complex animals.</p>
      <p>Figure 4 shows a graph describing diferent instances in the workplace animal domain
with basic exemplary definitions of states. The instances were derived from an assessment
matrix evaluating the scenario on the base of an internet research on the topic as described in
previous sections. Therefore, diferent compliance documents, media articles, and social media
discussions were analyzed.</p>
      <p>Neutral state
hasState</p>
      <p>hasState
Conflict state</p>
      <p>Synergy state
Dog Compliance Transfer Task
hasUpperTask</p>
      <p>hasState
hasUpperTask
hasUpperTask
hasState</p>
      <p>Dog Medical Transfer Task</p>
      <p>Dog Legal Transfer Task
Dog Behaviour Transfer Task</p>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusions</title>
      <p>This work presented a feasibility study to estimate how cyclic knowledge transfer processes
between organizations can be subject of semantification. A concept was presented to assess
barriers and opportuinites for knowledge transfer via a matrix scheme derived from a combination
of cyclic knowledge management and knowledge transfer models.</p>
      <sec id="sec-4-1">
        <title>4.1. Related Work</title>
        <p>
          To get insight to available works relevant for this study we searched for accepted and proven
fundamental theorys of knowledge management and knowledge transfer. Additionally, we
investigated what up to date approaches require as characteristics of a knowledge domain
to make the approach work. A cyclic approach to systematize knowledge transfer processes
between factory workers and management is presented by Riege and Zulpo [
          <xref ref-type="bibr" rid="ref3">3</xref>
          ]. The aspects
of using a cyclic model for transdisciplinary learning was published by Bochenina et al. [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ].
An ontology model to transfer knowledge between universities was presented by Bazarova et
al. [
          <xref ref-type="bibr" rid="ref5">5</xref>
          ]. An interesting aspect of the approach is that the hierarchical ontology model is used
to assess the learning outcome of the knowledge transfer process. The work of Stasewitsch et
al. [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ] picks up the concept of modeling organizational structures as networks to gain insight
into to knowledge transfer processes which aids to build a bridge between the transfer cycle and
the knowledge graph structure proposed in this paper. The important influence of the corporate
culture on the process of knowledge transfer is analyzed by Wilkesmann et al. [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ]. Which
factors afect knowledge transfer was elaborated by Srisuksa et al. [
          <xref ref-type="bibr" rid="ref8">8</xref>
          ]. A systematic approach to
design knowledge transfer practices was presented by Sannicolas et al. [
          <xref ref-type="bibr" rid="ref9">9</xref>
          ]. Minbaeva [
          <xref ref-type="bibr" rid="ref10">10</xref>
          ] gives
a deep insight into the structure of knowledge transfer processes that occur in multinational
corporations. Pinto et al. [
          <xref ref-type="bibr" rid="ref11">11</xref>
          ] discuss the opportunities of transfer learning for smart buildings.
This paper was very helpful regarding the structured aspects of data that can occur in such a
setting of transfer learning and which chances and problems come with certain data quality.
The aspects of knowledge sharing via story telling were discussed by Swap et al. [
          <xref ref-type="bibr" rid="ref12">12</xref>
          ]. Ojha
et al. [
          <xref ref-type="bibr" rid="ref13">13</xref>
          ] discuss the complex environment describing the knowledge processes of two large
organizations have to be distilled into simple models usable by employees. To train a guide dog
is a resource intense task. The work of Cleghern et al. [
          <xref ref-type="bibr" rid="ref14">14</xref>
          ] presents a decision tree model of
how to estimate whether a dog will be a good candidate for a guidance training. This is useful
in our context to find out which features could have an influence on compliance in a working
environment.
        </p>
      </sec>
      <sec id="sec-4-2">
        <title>4.2. Future Work</title>
        <p>The first view on the presented domain is promising. Thus, we will extend the so far developed
concepts and evaluate them more deeply by populating the developed ontology with instances
extracted from the domain of knowledge transfer concerning animal work place compliance.</p>
      </sec>
    </sec>
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