Knowledge Acquisition on Team Management Aimed at Automation
with Use of the System of Organizational Terms
Olaf Flak
a
University of Silesia in Katowice, 3 Pawla Str., Katowice, Poland
Keywords: Knowledge Acquisition, Team Management Automation, System of Organizational Terms.
Abstract: The aim of the paper is to present a new approach to knowledge acquisition on team management based on
the original methodological concept called the system of organizational terms. The topic of knowledge
acquisition on team management is important because of a lack of development in managerial work
automation in recent years. The scientific problem is how to acquire knowledge on team management in the
holistic, coherent and formalized way and how to represent team management in order to automate it. Both
aspects of this scientific problem are described in this paper. On the one hand there is a common perspective
met in management studies, and on the other hand also the original perspective of the system of organizational
terms was presented. In the paper there is also a short description of a solution for this scientific problem and
examples of previous research verifying the system of organizational terms as a method of knowledge
acquisition on team management and team management representation aimed at automation this area of
human life.
1 INTRODUCTION
After the first age of robotics in mechanical processes
and manufacturing, rapid development of computer
science has given opportunities to make some more
sophisticated work automated (McAfee and
Brynjolfsson, 2016). Especially, the last twenty years
there has been a rapid change of information
technology and an increase of replacing human work
with machines or algorithms. However, it still not
possible to employ a robot on a managerial position
of a team. Why?
The first reason seems to be the characteristics of
managerial work. Team managers do not have the
luxury of standing back or outside of a situation in
which they act. They have to take actions in the
context of the situation. Despite the fact that an
effective teamwork becomes more and more
important for companies (Hoegl and Parboteeah,
2007), managerial actions lead to the consequences
which managers are not able to foresee (Segal, 2011).
A team manager and team members are the warp and
woof of the dynamic fabric of cooperation. They
cannot exist without each other combined together by
managerial actions (Sohmen, 2013).
a
https://orcid.org/0000-0001-8815-1185
The second reason consists of three not-existing
conditions: (1) a mutual basis for communication for
an artificial manager and team members (shared
concepts and their meanings) (Clark and Brennan,
1991), (2) prediction methods of human behavior in
teamwork (Klein, Feltovich, Bradshaw and Woods,
2005), (3) a possibility of a real influence of an
artificial manager on team members (Christoffersen
and Woods, 2002).
Both reasons are equally important in the
scientific problem of knowledge acquisition on
managerial work aimed at team management
automation and replacing human managers with
robots (Flak, 2017b).
In this perspective the crucial issue of knowledge
on team management has always come to a simple
question: what does a team manager really do? (Sinar
and Paese, 2016) Therefore, the scientific problem
concerns (1) a succession of managerial actions done
one after another by a team manager, and (2) their
content.
As the result of defining this scientific problem
there is a research question: can it be a holistic,
coherent and formalized methodological concept of
management sciences, which allows to build real
302
Flak, O.
Knowledge Acquisition on Team Management Aimed at Automation with Use of the System of Organizational Terms.
DOI: 10.5220/0010271703020311
In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021), pages 302-311
ISBN: 978-989-758-486-2
Copyright
c
2021 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
knowledge on team management aimed at team
management automation?
The aim of this paper is to present the answer to
this research question in the perspective of team
management knowledge acquisition and
representation. In Section 2 there are the literature
review of knowledge acquisition in management
science and team management representation. In
Section 3 there are a description of a methodological
concept called the system of organizational terms
together with research tools which are the main
contribution in the area of knowledge acquisition and
representation. Section 4 contains examples of
building knowledge on team management ready to
use in team management automation. Section 5 is
focused on challenges and further directions of
studies in the field of team management automation.
2 KNOWLEDGE ON TEAM
MANAGEMENT
2.1 Traditional Knowledge Acquisition
Models in Management Science
Knowledge on any issues can concern a few
dimensions of reality named by questioning
pronouns: what, how, who, when, where, why? It is
also possible to distinguish knowledge called
“knowledge: what” and “knowledge: how”. This first
type of knowledge is also named as theoretical
knowledge and the second type is used to be seen as
practical knowledge (El-Sayed, 2003).
In the management studies we can find a wide
range of approaches to creating knowledge on team
management. One of the main division in this context
contains two types of knowledge: tacit and explicit
knowledge (Matos, Lopes, Rodrigues and Matos,
2010). This is the way of creating tacit knowledge as
a result of team work and it is based on an intellectual
capital of team members. Explicit knowledge is
created by the processes taken by team members on
the ground of tacit knowledge.
The second method of knowledge acquisition
presents the model of El-Sayed. This model contains
four stages of creating tacit knowledge changing into
explicit knowledge and on the other way. This
process is extremely dynamic and it proceeds as it
follows. Tacit knowledge on team management
changes into explicit knowledge by the means of
socialisation processes and creating physical things
by teamwork. After this combination explicit
knowledge on organizational reality appears. Then,
by the process of learning, team members acquire
new tacit knowledge which are represented by
socialisation processes and physical things created by
team members etc. This cycle can last forever (El-
Sayed, 2003).
The third way of knowledge acquisition in
management science comes from B. Russel, who
created a term “knowledge by description”. This type
of knowledge acquisition concerns a set of rules
which we combine with a certain physical or mental
thing in the organizational reality. This type of
knowledge can be used in description rather than in
finding fundamental laws of the world (Amijee,
2013). Comparing to tacit and explicit knowledge this
way of knowledge acquisition does not lead to any
innovations and new achievements (Aligica, 2003).
The fourth division of approaches in knowledge
acquisition in management science is presented in
Table 1. This is possible to distinguish two
approaches: functionalism and constructivism
Darmer 2000).
Table 1: Functionalism and constructivism in knowledge
acquisition.
Functionalism Constructivism
Ontology realism relativism
Epistemology narrow
objectivity
subjectivity
Methodology experiments mixed methods
Main question what effective
management
means?
what is
management?
Goal development of
management
cognition of
management
Results normative descriptive
The fifth group of knowledge acquisition
approaches are based on ontological and
epistemological assumptions in organizational reality
research. In these two important areas of every
science there are two main questions: (a) from
ontological point of view – do theories describe the
reality, (b) from epistemological point of view – do
theories lead to the truth? (Kilduff, Mahra and Dunn,
2011). Based on that four approaches to knowledge
acquisition are presented in Table 2.
The sixth approach to knowledge acquisition in
management science is a model of internal and
external knowledge. This model is quite similar to the
model which contained tacit and explicit knowledge,
however, internal and external knowledge is stable in
time (Jaime, Gardoni and Mosca, 2006).
The similar approach is the seventh one presented
by Chalmeta and Wrangel (2008). They define target
knowledge which is a result of tacit and explicit
Knowledge Acquisition on Team Management Aimed at Automation with Use of the System of Organizational Terms
303
knowledge. They claim, similarly to Matos, Lopes,
Rodrigues and Matos (2010), that tacit knowledge is
hidden in people’s minds and explicit knowledge is
placed in organizational documents.
Table 2: Ontological and epistemological questions in
knowledge acquisition.
Epistemology: do the
theories lead to the truth?
Yes No
Ontology:
do the
theories
describe the
reality?
Yes realism
following
paradigms
No
foundatio
nalism
instrumentalis
m
As it can be reckoned from this short review of
approaches to knowledge acquisition on team
management, there are not effective approaches of
building precise knowledge on the organizational
reality which would be holistic, coherent and, what is
more important, formalized in order to use it in team
management automation. Therefore, the original
approach to knowledge acquisition, which meets
these three parameters, was designed and it is
presented in Section 3.
2.2 Dominating Team Management
Representations
As there is a lack of a stable and reliable approach to
knowledge acquisition in management science, the
same situation concerns team management
representation. The view of managerial work has
been changed since the scientific management was
born. At the beginning of 20
th
century the picture of a
manager was defined by his classical functions (set of
activities), such as a planner, an organizer, a
motivator and a controller (Fayol, 1916). 50 years
later a view of a manager was dominated by two
approaches and it has lasted until today.
Firstly, in 1964 Koontz and O'Donneil (1964)
launched a discussion on the meaning of managerial
skills. A few years later an approach in which
managerial work was represented by managerial
skills was proposed (Katz, 1974). The managerial
skill was than defined as an ability to work effectively
as a team manager in order to build cooperative effort
within the team (Katz, 1974). A dominating typology
of managerial skills divides skills into 3 groups:
technical, interpersonal and conceptual. Technical
skills were regarded as most important for
supervisors, interpersonal skills for middle managers,
and conceptual skills for executives (Kaiser, Craig,
Overfield and Yarborough, 2011). This approach to
skills has been developed over decades and one of the
latest typologies contains such skills as critical
thinking, problem solving, an ability to organize data,
conceptual thinking, evaluating ideas, persuasive
skills etc. (Ullah, Burhan and Shabbir, 2014).
Secondly, in 1980 Mintzberg concluded that the
managerial work in a team can be described in terms
of 10 roles within interpersonal, informational and
decisional areas which were common to the work of
all types managers. He defined a managerial role as
an area of job activities which is undertaken by a
manager (Mintzberg, 1980). Mintzberg introduced to
the management science a typology of managerial
roles which contains such roles: a figurehead, a
leader, a liaison, a monitor, a disseminator, a
spokesman, an entrepreneur, a disturbance handler, a
resource allocator, a negotiator (Mintzberg, 1980).
Other researchers of team management proposed
other divisions of roles, such as a leader, a peer, a
conflict solver, an information sender, a decision
maker, a resources allocator, an entrepreneur, a
technician (Pavett and Lau, 1982) or an explorer, an
organizer, a controller, an adviser (McCan and
Margerison, 1989).
Managerial skills and managerial roles have
influenced scientists and practitioners so much, that
most of research on managerial work was designed as
a research either on managerial skills or managerial
roles. The examples of published results of such
studies during last 50 years:
The nature of the skills involved in managerial
jobs; Managers in 32 manufacturing firms in the
Madison-Milwaukee industrial area (McLennan,
1967).
Measuring the process of managerial
effectiveness in relations with specific behaviour and
activities characteristic of managerial work;
Managers from 6 companies in the US (Morse and
Wagner, 1978).
Importance of Mintzberg’s roles across several
different functional areas, including a relatively
ignored segment of the managerial population—
namely, the general manager; Managers and
executives representing a wide variety of private
sector service and manufacturing firms in southern
California (Pavett and Lau, 1982).
Investigation on the managerial roles of the chief
information officer (CIO) based on Mintzberg’s
classic managerial role model; Companies randomly
selected from the 1991 listing of Fortune 1000
companies (Grover, Jeong, Kettinger and Lee, 1993).
Relationships between creativity style, as
measured by the Kirton Adaption Innovation
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Inventory (KAI) and the self and other ratings on a
360-degree feedback instrument, the Management
Skills Profile (MSP); Managers who were mid-career
MBA students attending a part-time evening
programme in a medium-sized south-eastern state
university in the United States (Buttner, Gryskiewicz
and Hidore, 1999).
Employees’ attitudes and performance as
measures of managerial effectiveness. Middle
managers in numerous US facilities of a large, high-
technology, non-traditional firms (Shipper and Davy,
2002).
Perception of the role of the manager which
contributed to changes in everyday managerial
practices. CEO of the companies employed between
slightly fewer than 2,000 persons to almost 15,000
persons and the combined market value of the three
listed companies exceeded US$12 billion at the time
of study (Tengblad, 2006).
Female and male managers communication
skills; Managers of an organization located in the San
Francisco, Bay Area (Kaifi and Noori, 2011).
Global management skill sets and capabilities
among multinational corporations; Senior executives
from multinational organizations in North America
and India (Ananthram and Nankervis, 2013).
Status of managerial skills, features of
organisational climate and the interaction of
managerial skills with organisational climate;
Managers in educational service sector (Vandana and
Dhull, 2014).
Importance for each managerial role in using
managerial skills; MBA students (Ullah, Burhan and
Shabbir, 2014).
Importance of values and skills of managers;
Senior lean experts employed by a single Dutch
medium-sized management (van Dun, Hicks and
Wilderom, 2015).
Management skills of retail companies; Team
leaders in retail companies (Mihalcea and Mihalcea,
2015).
Actions of great leaders, the definition of an
effective leader, factors need to be considered to
identify the right leaders who can successfully
transition into higher-level roles; Team leaders in 300
organizations, 20 industries and 18 countries (Sinar
and Paese, 2016).
Based on the review presented above, it is
possible to draw a conclusion that managerial skills
and managerial roles are traditional theoretical
concepts commonly used to represent team
management. However, these terms still do not
recognize what a team manager really does (Sinar and
Paese, 2016). So that, it is not possible to recognize
(1) a succession of managerial actions done one after
another by a team manager, and (2) their content. The
answer to this question is presented in Section 3 and
it is the main contribution in this paper to the problem
of knowledge acquisition on team management aimed
at automation.
3 THE SYSTEM OF
ORGANIZATIONAL TERMS
METHODOLOGY
3.1 Knowledge Acquisition based on
the System of Organizational
Terms
The first aspect of the scientific problem mentioned
in Section 1 concerns achieving a precise and
coherent view of team managerial work which could
be efficiently used in team management automation.
There comes a challenge, how to represent a
succession of different types of managerial actions
one after another done by a team manager. The
pioneering answer to this challenge is the system of
organizational terms, which is a complex of
ontological and epistemological aspects designed for
managerial action patterns research (Flak, 2013; Flak
2020).
The ontological assumption of the system of
organizational terms is that every fact in the
organizational reality can be represented by the
organizational term (Zalabardo, 2015). The
organizational term is a symbolic object which can be
used as an element of the organizational reality model
(Rios, 2013) and it is a close analogy to a physical
quantity in the SI unit (length, mass, time etc.).
It is assumed that the organizational terms are
abstract objects which are used to represent the facts
which appear in the organizational reality. The
features of the organizational term, on the one hand,
come from its definition and, on another hand, derives
from causal relations or occurrence relations with
other organizational terms (Backlund, 2000).
The philosophical foundation of the system of
organizational terms is based on Wittgenstein’s
philosophy: his theory of facts (the only beings in the
world) and “states of facts” (Brink and Rewitzky,
2002). According to this approach managerial actions
can be organised by events and things. Specifically,
as shown in Figure 1, each event and thing have the
label n.m, in which n and m represent a number and a
version of a thing, respectively. Event 1.1 (set 1.1)
Knowledge Acquisition on Team Management Aimed at Automation with Use of the System of Organizational Terms
305
causes thing 1.1 (goal 1.1), which in turn releases
event 2.1 (generate 2.1) that creates thing 2.1 (idea
2.1). Thing 1.1 (goal 1.1) simultaneously starts event
3.1 (describe 3.1) which creates thing 3.1 (task 3.1).
Then, thing 3.1 (task 3.1) generates the second
version of the first event, i.e. event 1.2 (goal 1.2). So,
the managerial action structure consist of, e.g. event
1.1 and thing 1.1 (in the system of organizational
terms called a derivative and primal organizational
term, respectively).
Figure 1: Fundamental structure of managerial actions.
According to the logical division, organizational
terms are divided into two classes: primal and
derivative organizational terms. Facts, which are
things (primal organizational terms) in the
organizational reality, represent resources (Barney,
1991). Facts, which are events (derivative
organizational terms) in the organizational reality,
represent processes in the organization (Brajer-
Marczak, 2016). By the same token, the system of
organizational terms combines the resource approach
and the process approach in the management science.
It combines processes which effect in resources. In
pairs they create managerial actions.
Features of managerial actions are grouped in
time, content and human relations domains. They
show how much two managerial actions differ from
one another or one managerial action differs from
itself in the function of time.
Such an approach to ontology of team managerial
work lets represent all managerial activities by
standardized features vectors with data grouped in
time and content (Flak, Yang and Grzegorzek, 2017).
Comparing this approach to the team management
representation described in Section 2 it is possible to
assume that the answer to the question “what does a
team manager really do?” seems to be hidden in the
relation between managerial roles and managerial
skills. In order to play managerial roles a team
manager should have some managerial skills (Pavett
and Lau, 1983). It results in understanding playing
managerial roles within their managerial skills by
day-to-day activities of managers effects in the
managerial actions, which these managers make.
Therefore, the managerial action can be defined as a
real activity, which a manager does in order to play a
managerial role and have a certain managerial skill
(Flak, Yang and Grzegorzek, 2017).
3.2 Research Tools Aimed at Building
Knowledge on Team Management
The second aspect of the scientific problem
mentioned in Section 1 concerns focusing on the
content of the managerial actions. This challenge
needs a special method of gathering data on team
managerial actions. The data should be recorded in a
way, which allows to represent a team manager by
managerial actions, that take place in a team, which
he leads. That is why, the content of managerial
actions should be represented by a scalable vector.
The best way of recording team managerial actions by
research tools is using online management tools or
other electronic devices, which a team manager and
his team members use during day-to-day work (Flak,
2017a). The innovative tools of recording information
in time and content domains are embedded in the
TransistorsHead.com platform, which is a complex of
online management tools designed for a modern and
contemporary method of time and motion study.
In order to get such data about managerial actions,
one of the epistemological assumption of the system
of organizational terms is, that the main research
method is an objective long-term observation
(Midgley, 2003). The measurement of a managerial
action is defined as an assignment of a certain set of
values to a certain set of managerial action features
(Mari, 2005). It is designed so that the features of any
managerial action can be measured by a research tool
which gathers data about the primal organizational
term (a thing in the fundamental structure of a
managerial action – Figure 1 – which means a
resource in the organizational reality) (Chopraa and
Gopal, 2011).
As it is shown in Figure 1, when a team manager
sets a goal (a managerial action represented by event
1.1 - setting 1.1 and thing 1.1 - goal 1.1), the research
tool called “Goaler” records features of goal 1.1 in
time and content domains. If later (e.g. after
describing a task – describing 1.1 and task 1.1) this
team manager does the next setting of the same goal,
he launches the next managerial action. Then the
features of this managerial action are changed and
represent the second version of this managerial action
(setting 1.2 and goal 1.2). The difference between
managerial action features of goal 1.2 and goal 1.1.
let do reasoning on the events which happened in this
period of time (Flak, 2017a).
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Table 3: TransistorsHead.com structure.
Name of managerial
tools in
TransistorsHead
Number of
managerial
actions
Name of
managerial
actions
set goals 1 set goals
describe tasks 2 describe tasks
generate ideas 3 generate ideas
specify ideas 4 specify ideas
create options 5 create options
choose options 6 choose options
check motivation 7
check
motivation
solve conflicts 8 solve conflicts
prepare meetings 9
prepare
meetings
explain problems 10
explain
problems
Table 4: Functions of online management tools.
Tool Application of the tool during team work
Set goals
Agreeing on the goals of the project,
actions to be taken, etc. (what is the
overall goal of the project?).
Describe
tasks
Describing tasks that will have to be
performed in order to achieve the overall
goals.
Generate
ideas
Generating ideas (brainstorming) about
performing the tasks (who, how, when,
where) and solving potential problems.
Specify
ideas
Describing in detail the ideas and
solutions.
Create
options
Creating options for decision making
(deciding which options are the best and
which options the team will choose as the
final ones).
Choose
options
Selecting and deciding which options will
be chosen as the most beneficial for the
participants according to criteria that
determine this (what is the most
important aspect/criterium).
Check
motivation
Checking the level of motivation of the
team members according to Maslow’s
theory of basic needs.
Solve
conflicts
Analyzing reasons for potential conflicts
among the team members, coming up
with possible solutions to these conflicts.
Prepare
meetings
Preparing agenda for a meeting based on
the law of demand and supply, known in
economy. The agenda allows for using
the potential in the team and knowledge
of participants.
Explain
problems
Explaining business problems or tasks by
analysis of keywords in sentences.
From the theoretical point of view online
management tools have such features:
according to the idea of an „unit of behaviour”
(Curtis, Kellner and Over, 1992) every online
management tool tracks and records one specific team
managerial action,
when a team manager uses any online
management tool it is equal a process which results in
a resource, respectively (Flak, 2017a),
every management tool is designed for recording
a certain team managerial action (Flak, 2017a).
Such online management tools were implemented
as online management tools called
TransistorsHead.com available at the website
browser. This platform was designed by the author of
this paper and it consists of 10 different tools to track
10 separate managerial actions (Flak, Hoffmann-
Burdzińska, Yang, 2018). Table 3 contains the names
of online managerial tools, their numbers (which are
necessary to read the Figures 2, 3, 4), and names of
managerial actions. In Table 4 there are functions of
the online management tools.
4 EXAMPLES OR RESEARCH
RESULTS
4.1 Knowledge on Succession of
Managerial Actions
In the last few years there were a dozen experiments
aimed at checking if the system of organizational
terms can be a new knowledge acquisition method
useful in team management automation.
Concerning the first aspect of the scientific
problem mentioned in Section 1 (a succession of
managerial actions done one after another by a team
manager) it is possible to show results of one of such
experiments. In 2019 students of Human Relations
Management at the Faculty of Psychology at the
University of Silesia in Katowice, Poland, were to
conduct a given project from an idea to a final
presentation. The students were working in teams of
4-5, every one of which had a defined manager who
was leading it.
Firstly, Table 5 shows how many separate
managerial actions were taken by every manager,
when they started and finished their work and how
much time their teamwork took in this project.
Secondly, managers were managing teams by
online management tools that recorded their
managerial actions. Owing to the fact, it is possible to
present the trajectory of 10 recorded managerial
actions on a timeline in histograms of team
management. The trajectories of all managers are
Knowledge Acquisition on Team Management Aimed at Automation with Use of the System of Organizational Terms
307
presented in Figures 2 to 4, respectively. Numbers in
types of managerial actions mean: 0 – no managerial
action, 1 – set goals, 2 – describe tasks, 3 – generating
ideas, 4 – specifying ideas, 5 – creating option s, 6 –
choosing options, 7 – checking motivation, 8 –
solving conflicts, 9 – preparing meetings, 10 –
explaining problems. The figures shows 100 chosen
moments of managerial actions recorded
approximately in the middle of the team work period
shown in Table 5.
Table 5: General statistics on managerial actions taken by
managers.
Manager
no.
Total
number of
managerial
actions
Date of
start
dd.mm
hh:mm
Date of
finish
dd.mm
hh:mm
Period of
teamwork
(in
seconds)
Manager
1
293
14.05
10:55
28.05
10:20
1207523
Manager
2
328
14.05
10:53
28.05
21:57
1249484
Manager
3
446
14.05
10:53
01.06
18:13
1581591
As it can be recognized, all team managers had
different trajectory of their managerial actions even
than they were working on the same projects. The
succession of managerial actions done one after
another by every team manager was completely
different. This shows that the system of
organizational terms together with special
measurements tools (which is separate problem and
area of design) lets us solve the first aspect of the
scientific problem shown in Section 1. We can
achieve a knowledge on a succession of managerial
actions done one after another by a team manager.
Figure 2: Trajectory of team management by Manager 1.
Figure 3: Trajectory of team management by Manager 2.
Figure 4: Trajectory of team management by Manager 3.
4.2 Knowledge on Managerial Actions
Content
Concerning the second aspect of the scientific
problem mentioned in Section 1 (content of
managerial actions) as an example can be the results
of the experiment which was conducted in 2018.
Business students from one of the universities of
applied sciences in Helsinki took part in it. They were
divided into seven teams, each of which consisted of
five members and a team manager. The teams got the
task of preparing a training program for teachers of
their university (Flak, 2018).
In Table 6 there is content of a goal set by one of
the participants of the research in the first and the
second
version.
According
to
Figure
1,
the
manager
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308
Table 6: Content of a goal in two following versions.
Number of a
goal
1 1
Version of a
goal
1 2
Future vision
after achieving
a goal
We employ
young, ambitious
people to new
project groups
called C-LAB
and to new
projects of a
company. A
brand of our
company is well
known on the
market.
We employ young
and ambitious
employees. We
have no project
groups called C-
LAB.
Name of a goal
Workshops for
teenagers
Workshops for
teenagers
Way of setting a
time of
achieving a goal
period period
hours 0 0
days 0 0
weeks 0 0
months 0 5
years 1 0
Measurer 1
Finding cheap
employees
Low salary for
employees
Measurer 2
Increase of
peoples
knowledge on
animation
Middle
experience of
participants
Measurer 3
3 innovations in
social media
1 innovation in
social media
Measurer 4
Employment of
new workers to
project groups
New
advertisement in
radio
How much is
this goal real to
achieve?
Mostly yes Completely
How much does
this goal belong
to your duties?
Partly Mostly no
What is the
business area of
this goal?
Human resources
management
Human resources
management
Is this goal
shortterm or
longterm?
longterm shortterm
Is this goal
operational or
strategic?
operational strategic
Who is
responsible for
this goal?
My team My team
set this goal 1.1. and then reset it – we have a goal 1.2.
How this goal changed during the time of team
management (which happened between the first and
the second version) it is shown in Table 6. This shows
that the system of organizational terms lets us also
solve the second aspect of the scientific problem
presented in Section 1. We record not only a
succession of managerial actions but also a content of
every managerial action. This gives us knowledge
what are parameters of managerial actions in their
feature vectors.
5 CONCLUSIONS
The system organizational terms as a method of
knowledge acquisition on team management can help
to solve the scientific problem of getting real
knowledge what the manager really does. In this
concept the source of cognition is an observation of
the organisational reality in independent of the
cognition subject.
It is assumed that the source of information is the
fact which occurs in the organisational reality. That
information can be converted into data, while data can
be turned into knowledge about organisational reality.
Therefore knowledge about the organisational reality
can be largely objective. It is normative knowledge
and it is represented by sentences formulated in a
language.
As it was shown in Section 4, both succession of
team managerial actions and their content can be
capture by using the system of organizational terms
together with dedicated measurement tools. This type
of knowledge acquisition is the first step to answer to
the research question “what does the team manager
really do?” aimed at automation of these managerial
actions.
The next step towards team management
automation and effective replacement human
managers with robots is to implement some pattern
recognition techniques and machine learning
techniques which could lead to launch automated
managerial actions in team management.
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