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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>A Knowledge - based Decision Support System for the Service Quality Improvement in Organizations</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Tindara Abbate</string-name>
          <email>tindara.abbate@unime.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Clara Bassano</string-name>
          <email>clara.bassano@uniparthenope.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Anna Maria Coppola</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Dipartimento di Ingegneria dell'Informazione, Ingegneria Elettrica e Matematica Applicata, University of Salerno</institution>
          ,
          <addr-line>Via Giovanni Paolo II, 132, 84084, Fisciano (SA)</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Dipartimento di Scienze Economiche, Aziendali, Ambientali e Metodologie Quantitative, University of Messina</institution>
          ,
          <addr-line>Piazza Pugliatti, 1, 98122, Messina</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Dipartimento di Studi Aziendali e Quantitativi, University Parthenope of Naples</institution>
          ,
          <addr-line>Via Ammiraglio Ferdinando Acton, 38, 80133, Naples</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Regione Campania &amp; Master DAOSan, University of Salerno</institution>
          ,
          <addr-line>Via Giovanni Paolo II, 132, 84084, Fisciano (SA)</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>This paper focuses on a knowledge - based decision system for human resource management within public administrations, with the aim of improving the service quality. In particular, the construction of decision rules for a generic public administration considers a Skill Gap Analysis among real and ideal workers competence profiles. The procedure foresees the following steps: an analysis of organograms and Job Descriptions; a Knowledge, Skills, Attitudes (KSA) model for Job Descriptions; use of an analyser to transform KSAs of Job Descriptions into an ISFOL - ISTAT model, with integrations of other characteristics; use of a parser to extract information from Curricula Vitae according to the ISFOL - ISTAT KSA model. Finally, a comparison step is useful to understand if employees perform roles, which are coherent with their real profiles. A first experiment allows to test the proposed approach, showing that discrepancies occur in profile choices and confirming what really happens in public administrations.</p>
      </abstract>
      <kwd-group>
        <kwd>decision system</kwd>
        <kwd>human management</kwd>
        <kwd>service quality</kwd>
        <kwd>Skill Gap Analysis</kwd>
        <kwd>KSA</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>The growing importance in human resources within business organizations implies
the adoption of continuous modifications and the development of accurate processes
for Human Resource Management. In this sense, the problem deals with the service
quality in terms of competences of employees. In last years, this problem has become
one of the fundamental research topics, due to the new theories in management fields.</p>
      <p>
        Such studies are not trivial because they rely on two fundamental aspects: the
improvement in service qualities, with consequent advantages in logistic flows for
organizations; the possibility of identifying weak areas within the businesses plans.
Hence, their focus is obviously in human systems management, with particular
emphasis on solutions to social questions ([
        <xref ref-type="bibr" rid="ref12">12</xref>
        ], [20]), the adoption of opportune rules
for business needs ([
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], [19]), and accurate mathematical formalisations for problem
solving ([
        <xref ref-type="bibr" rid="ref14">14</xref>
        ]). A “summa” of all these aspects and phenomena for Human Resource
Management is described in [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ], with specific details on service quality. In this
direction, service science, namely Service Science, Management, Engineering and
Design, gives meaningful tools for an accurate description of service systems (see [17],
[18]). Moreover, the Viable Systems Approach is also useful (see [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ], [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ]).
      </p>
      <p>
        From a practical point of view, the lack in service quality for organizations (see [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ],
[
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]) can be studied via a skill gap analysis within Italian public administrations (see
[
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]), in order to compare the employees real competences with the ones required for
the performed roles. Indeed, an optimal service quality in public administrations is
identified in the possibility of providing safe, fast and reliable services to a wide
community of common and uncommon people. Eventual improvements for service
quality inside public administrations represent a serious topic, especially for the Italian
background, where most of work roles are usually assigned on the basis of factors,
which are different from merit, competences and experiences. Negative aspects of these
phenomena are evident: employees are in the wrong places at the wrong times, leading
to delays in common work operations, with creations of bottlenecks, which make the
logistic flows, seen as sequences of consecutive operations within the work context,
worse.
      </p>
      <p>
        In this paper, the focus is represented by a procedure, which is useful for the service
quality improvements inside the public administrations. Precisely, such an approach
allows the analysis of employees competences inside business plans of public
administrations, with the aim of identifying weak work areas, and thus defining criteria
for a Knowlegde – based Decision Support System (DSS) for the evaluation of the
correct employees roles (a similar example is in [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ], while analogous studies on
competences are in [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] and [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]). Indeed, the possible advantages of such an analysis is
evident: from one side, a correct allocation of human resources allows a quite good
work quality, hence the logistic flows among the various parts (offices) of the public
administration become faster and bottlenecks, due to competence lacks, are avoided;
from the other side the guarantee of defining standards for the employment occurs, also
in terms of constraints and rules for competition announcements. In any case, the
principal beneficiary in this context is the public, either the one, who requires for
services, or the one who looks for a job in public administrations.
      </p>
      <p>
        The proposed approach foresees the following steps: first, in order to construct all
characteristics of roles for each worker, organograms of public administrations and Job
Descriptions of work profiles are analysed. Then, a competence model, see [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ], based
on Knowledge, Skills and Attitudes (KSA) and similar to taxonomies (see [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]), is
constructed for each Job Description and integrated with other characteristics.
Furthermore, a parser allows to extract the competences of employees from their
curricula vitae according to the ISFOL – ISTAT1 KSA model, and a skill gap analysis
between competences of ideal and real employees is made. Finally, DSS rules for work
roles and employees are constructed. Notice that the steps of the proposed procedure
represent a possible way of identifying the correct roles inside public administrations,
namely alternative solutions can be identified, also according to contexts, which are
quite similar or completely different from the ones described here.
      </p>
      <p>
        The proposed methodological vision was tested on a real office, precisely at a
General and Legal Affairs Office of a Technical – Administrative Department of the
Health Service in an Italian region. The analysis involved three different work roles.
The chacteristics of profiles, divided into Constraints, Qualifications and KSA, have
been kept in an Access Database. Then, using an Access matching algorithm, the skill
gap analysis was made among real and ideal profiles. The results indicated that
discrepancies occur, showing the gap percentages for each work position, namely: the
chosen profiles are not always the most suitable ones for the performed roles. Such a
conclusion was also confirmed by a team of “experts” (a possible procedure to choose
them is in [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]), who, making manually the same procedure, gave a first evaluation of
the correctness of the skill gap analysis.
      </p>
      <p>Unfortunately, the just described approach remains still quite empirical in Italy, due
to the complex structure of Italian public administrations. Hence, new studies and
experimentations are required in next future. Indeed, a possible preliminary starting
point for further research activities is the analysis of curricula vitae of employees and
the competence mapping for the KSA construction.</p>
      <p>The paper is structured as follows. Section 2 describes the problem of defining
correct Job Descriptions inside public administrations, with emphasis on four macro –
scenarios, that often occur, allowing to underline problems in real contexts, also in
terms of a correct skill gap analysis. Moreover, methodological steps for a correct
analysis of competence profiles of employees in public administrations are considered.
In Section 3 the case study of a real office in an Italian region is presented, and research
results on three different work profiles are analyzed. The paper ends with Conclusions
in Section 4.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Public Offices and human resource competences</title>
      <p>In all public administrations, and in the particular in the Italian ones, there are some
logistic flows, whose strength is mainly due to the work quantities and to the service
1 ISFOL – ISTAT represents an Italian standard for the classification of work profiles and their
characteristics. ISFOL – ISTAT KSA models contain further information, which is not always
captured by the basic KSAs for work profiles.
quality. Although this vision appears to be quite simple, some weaknesses points are
evident for the following reason: the competences of each employee are not always
sufficient and suitable for some services. A such meaningful phenomenon often implies
a total reorganization of human resources in order to redistribute work loads and
employees, so as to improve the service quality. Within the public administrations
context, the key point is a correct knowledge of profiles for all employees, in terms of
their competences.</p>
      <p>
        Hence, the starting point for a correct Knowledge Management is a competence
model, see [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ], whose representation is defined in terms of Knowledge, Skills and
Attitudes: Knowledge is the set of support information for a determined task; Skill is
the practical capacity for the development of the task; Attitude is a specific behavior in
some situations. The competence model, which relies on Knowledge (K), Skills (S) and
Attitudes (A), is shortly indicated as KSA Model (see [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]), implemented by some
Lightweight Ontologies, written in SKOS language and similar to taxonomies (see [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]). Such
ontologies allow the description of a particular domain in a hierarchical way and define
simple relations. Each element of type K, S and A has a score, that discriminates the
competence levels for a knowledge domain.
      </p>
      <p>Beside KSA models of work profiles of employees, other possible forms of
competence representations are possible, such as the ISFOL – ISTAT standards, which enrich
the possible descriptions obtained by simples KSAs. Hence, a possible analysis within
public administrations starts considering possible profiles according to the ISFOL –
ISTAT standards based on KSAs, with consequent identification of ideal work profiles,
which have to be compared with the real ones owned by the employees in a next phase
of skill gap analysis.</p>
      <p>To achieve this aim, the starting idea is to study a whole business plan, which
consists of an organogram, a function flow chart, Job Descriptions and Job Specifications.
The focus is on Job Specifications, with consequent analysis of Job Descriptions
characteristics. In real contexts of public administrations, four macro – scenarios are
possible and only one of them occurs. In particular, such situations are as follows.</p>
      <p>Situation 1: Job Specifications follow a structural and formal approach, according
to ISTAT – ISFOL standards. This case is the most suitable for a correct problem
solving and represents the solution to which public administrations tend to converge
nowadays. The representation of this type of knowledge is achievable with a high degree of
accuracy via Knowledge Extraction techniques, based on vocabularies and ontologies.</p>
      <p>Situation 2: A non – structured and informal approach, based on ISFOL – ISTAT
criteria, describes the Job Specifications. In this situation, a generic Job Specification
obeys ISFOL – ISTAT standards, but some difficulties of representation arise.
Knowledge Extraction techniques are useful to reconstruct this type of Knowledge with
a sufficient degree of accuracy. Indeed, such methodologies are more difficult than the
ones described in Situation 1, as the description is informal, namely: vocabularies and
ontologies are not always adequate for problem solving and further integration
techniques involving Knowledge Management are often required.</p>
      <p>Situation 3: Job Specifications follow a structural and/or semi-structured, formal
and/or informal approach, according a non – ISTAT – ISFOL standard. In this case,
Job Specifications refer to a standard, that is different from the one used by the system.
Obvious difficulties occur if documents are not structured and not formalized. The
difference among the various standards usually considers unusual vocabularies and
different Skills and Attitudes. Such a situation is still workable – as it refers to a standard –
if correspondences and rules with the ISTAT – ISFOL representation are found. The
Knowledge representation foresees a preliminary analysis and matching step (of
automatic, semi – automatic and manual type) to establish rules to translate the non – ISTAT
– ISFOL standard.</p>
      <p>Situation 4: A non – structured, informal and non – standard approach describes
the Job Specifications. In this last case, Job Specifications do not follow structures and
standards, leading to the impossibility of a correct Knowledge representation.</p>
      <p>A data flow diagram, which represents the situation 3, is in Fig. 1.
From previous considerations and, in particular, for the most usual case (represented
by situation 2), the possible steps, useful for a support process for a DSS design, are the
following:



</p>
      <p>Analysis of organograms of public administrations and Job Descriptions of
each employee. This initial phase is useful to construct all characteristics of
roles for each worker.</p>
      <p>Construction of a KSA model for each Jop Description.</p>
      <p>Integration of KSAs with other data. In this step, some contingent
constraints are evaluated and used to create an enhancement of the basic
KSA models. As for the integration information, work styles/conditions and
behavioural attitudes are also considered.</p>
      <p>Analysis of public administrations employees curricula vitae and their
matching with KSAs. The curriculum vitae of each employee is reduced to
a competence profile in KSA using a parser, realized at the University of
Salerno. Such a tool has a vocabulary, which is identical to the one used by
ISFOL for the description of the professional units. Moreover, beside the
ordinary ISFOL terms, a further integration of the vocabulary allows the
descriptions of additive knowledge and professional experiences. The
importance of this procedure is the possibility of defining KSAs of
employees with the same characteristics of ISFOL – ISTAT standards.
 Skill gap analysis between competences of real employees and the ones of
ideal employees. This phase represents the core of the whole proposed
approach. Indeed, KSAs of real employees are used to create a match with
the ideal profiles described by KSAs obtained in step four. These results
are useful to show if real employees are the most suitable ones for the
performed roles inside public administrations.
 Definition of DSS rules for work roles and employees. In this final step
some decision criteria are constructed for the correct management of the
logistic flows inside public administrations. Notice that, for a specific
public administration, DSS rules are obviously strictly dependent either on
the characteristics of the business plan or on the analysed work profiles.
In what follows, Fig. 2 shows a first architectural view of the DSS.</p>
    </sec>
    <sec id="sec-3">
      <title>Case study of a real office in an Italian region</title>
      <p>The described approach was analyzed to study the dynamics of a real office,
precisely a General and Legal Affairs Office of a Technical – Administrative
Department of the Health Service in an Italian region. Notice that the following
example, tested on real employees, who belong to a real office in a public administration,
shows how the characteristics of employees are not always suitable for their work roles.</p>
      <p>The structure organogram (of public domain) is in Fig. 3 where, in particular, the
following roles have been analysed: administration manager, administration secretary
and legal expert.</p>
      <p>Beside the organogram, Job Descriptions, which describe roles, tasks and essential
qualifications, are considered. Essential qualifications arise from either business
characteristics or law articles, in terms of rules and constraints for the employees roles.</p>
      <p>From Job Descriptions, suitable KSAs have been obtained and, via associations, an
enhancement was obtained in order to define the ideal KSA profile of each work role.</p>
      <p>Precisely, the ideal KSA consists of categories Knowledge, Skills and Attitudes,
which define the preliminary KSA of Job Descriptions. The integration of KSAs with
ISFOL – ISTAT standards is useful to map terms of type Knowledge, Skills and
Attitudes into ISFOL vocabularies. The second integration of KSAs with personal
data/information allows to: divide terms of type Knowledge into ISFOL ones (briefly
indicated by ISFOL K in what follows) and Essential Knowledge constraints; add
categories Qualifications and Necessary experiences.</p>
      <p>The structure of ideal KSAs is very complicated and is difficult to represent
completely but, for a better comprehension, an extract of the ideal KSA for the
administration manager role is presented in Fig. 4.</p>
      <p>As already mentioned in Section 2, the implementation is made via Lightweight
Ontologies, written in SKOS language. The representation of the ideal KSA consists of
58 concepts, divided into categories and subcategories, which correspond, respectively,
to different skos: Concept schema and skos: Concept.</p>
      <p>As for the extract of the ideal KSA in Fig. 4, categories and subcategories are the
following:
 Knowledge: Legislation and Organization, Economics, desk work.
 Skills: human resources manager, financial resources manager, problem
solving, time management.
 Attitudes: self – control, leadership, collaboration, reliability.
 Qualifications: degree in Law, Master in Organization of public
administrations.
 Constraints, in terms of:
o Essential Knowledge ones: English, Information Systems.
o Necessary experiences: two years as a manager in public
administrations, three years as a manager collaborator in public
administrations.</p>
      <p>For the construction of real KSA profiles, curricula vitae (of public domain) of real
employees have been considered. A parser was necessary in order to recognise the
needed information through Knowledge Extraction techniques. The used parser was
able to identify the vocabularies of curricula vitae and associate them (via similarities,
correlations and associations) to the categories of the ideal KSAs (Knowledge, Skills,
Attitudes, Qualification, Essential Knowledge constraints and Necessary experiences).
Such a system was realized within research projects by a spin off of the University of
Salerno and, at this moment, there is a reliability of 70%.</p>
      <p>After all real KSAs have been obtained, the skill gap analysis was made using an
Access Database for the comparison of real and ideal profiles of each work role. The
results are in Table 1 where, for simplicity, the various work positions (administration
manager, administration secretary and legal expert) are indicated, respectively, by the
acronyms AM, AS and LE. Moreover, for a better comprehension, colums for the
required competences and gaps are in gray with respect to the ones for the owned
competences and suitability percentages.</p>
      <p>Notice that competences for a work profile are of the following types: required
(column 2) and owned (column 3). The difference between required competences and
owned ones gives the competence gap (column 4), while column 5 reports the
suitability percentages for each work profile. Indeed, for each work role, required
competences represent the ideal KSA, while owned ones the real KSA.</p>
      <p>Results of Table 1 are interpreted as follows. For the administration manager, the
ideal KSA indicates the following competences: 12 of Knowledge type, divided into
ISFOL K (8) and Essential Knowledge constraints (4); 16 of category Skills, 22 of type
Attitudes, 2 of category Qualifications and 2 of type Necessary experience. The
preliminary KSA, enriched by the ISFOL – ISTAT descriptions, contains 46
competences (ISFOL K + Skills + Attitudes), see row ISFOL KSA. Personal
data/information contains 8 competences (Essential Knowledge constraints +
Qualifications + Necessary experiences), see row Integration. Hence, for the position
of administration manager, the ideal KSA consists of 54 competences, see row Total.
Indeed, the real KSA indicates that the employee in the administration manager role
has only 34 competences, with a consequent gap equal to 20, namely: the administration
manager employee performs his role with a 63% suitability. These results are also
indicated in Fig. 5.</p>
      <p>25
20
15
10
5
0</p>
      <p>Knowledge</p>
      <p>Skills</p>
      <p>Attitudes</p>
      <p>Qualifications</p>
      <p>Constraints
Required Competences</p>
      <p>Owned Competences</p>
      <p>Competence Gaps</p>
      <p>For administration secretary and legal expert roles, the situation is the following:
competence gaps for the administration secretary and the legal expert are, respectively,
16/49 and 13/45, with 67.3% and 71.1% suitability. The obtained results are further
summarized in Table 2 for each work position, as for Required compentences, Owned
competences, Competence gaps and ISFOL KSA, Integration and Total suitability
percentages.</p>
      <p>The proposed approach appears to be promising, as the discussed results are due to
accurate automatic processes, which have not elements of subjectivity in evaluations,
unlike the human case. Indeed, a first reliability of results have been also proved by
consultation of five experts (E1, E2, E3, E4 and E5). Such experts, unaware of the skill
gap analysis, have analysed the curricula vitae and Job Descriptions of the three
professional roles described before. Their opinions are in Table 3.</p>
      <p>In this paper, it was defined an automatic/semi – automatic process for a Knowledge
– based DSS design, in order to establish the correctness of Human Resource
Management within public administrations, with a particular focus on a General and
Legal Affairs Office of a Technical – Administrative Department of the Health Service
in an Italian region.</p>
      <p>A DSS prototype, whose an architectural view was considered, was designed and
realized. The DSS results have been compared with the ones achieved by a team of
experts, and appear to be comforting.</p>
      <p>In the next future the research activities will focus on: the possibility to increase the
parser reliability; the analysis of wider sets of employees and more experiments; the
definition of opportune bounds to express judgements about the employees suitability
in the roles they perform inside public administrations.
17. Spohrer, J., Kwan, S. W., Spath, D., Ganz, W.: Service science, management, engineering
and design (SSMED): Outline and references. The Future of Services: Trends and
Perspectives, pp. 107 – 232 (2008)
18. Spohrer, J., Maglio, P. P., Salvendy, G., Karwowski, W.: Service science: Toward a smarter
planet. Service Engineering. John Wiley &amp; Sons, New York, pp. 3 – 30 (2009)
19. Sterman, J. D.: Business Dynamics: Systems Thinking and Modeling for a Complex World.</p>
      <p>Irwin McGraw-Hill, Boston (2000)
20. Williamson, O.: The Mechanisms of Governance. Oxford University Press, Oxford, UK
(1996)</p>
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