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Renewed Talent Management: More Productive Development Teams with Digitalization Supported HR Tools

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In most companies and organizations, performance is related to talent management and skills to analyze what and why people are working on. However, many companies do fail to implement a long-term strategy for the performance enhancement activities, considering the talents they have recruited. In this article, we propose a tool for HR work, in context of talent management and how to utilize people skills and productivity analytics to improve team performance and related KPIs. A project data-based case study is illustrated, in which a set of developer and content marketers were analyzed as core team members. In practice, the presented framework makes an important contribution to decision-making activities, where people analytics and proper software tools are used to build new novel knowledge into talent pool of the team. With the framework-based analysis, it is possible to analytically compare team members’ performance and enhance the team’s skill and structural development which means that we can employ analytics to find best performers and set their roles for more optimally working teams. Our research supports the concept of using the right framework can make a big positive difference in team analytics.
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International Journal of Engineering & Technology, 10 (2) (2021) 170-180
International Journal of Engineering & Technology
Website: www.sciencepubco.com/index.php/IJET
Research paper
Renewed talent management: more productive development
teams with digitalization supported HR tools
Antonis Vatousios 1, Ari Happonen 2 *
1 Anveto Group OU, Sepapaja 6, 15551 Tallinn, Estonia
2 LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland
*Corresponding author E-mail: ari.happonen@lut.fi
Abstract
In most companies and organizations, performance is related to talent management and skills to analyze what and why people are working
on. However, many companies do fail to implement a long-term strategy for the performance enhancement activities, considering the
talents they have recruited. In this article, we propose a tool for HR work, in context of talent management and how to utilize people skills
and productivity analytics to improve team performance and related KPIs. A project data-based case study is illustrated, in which a set of
devel-oper and content marketers were analyzed as core team members. In practice, the presented framework makes an important contri-
bution to decision-making activities, where people analytics and proper software tools are used to build new novel knowledge into talent
pool of the team. With the framework-based analysis, it is possible to analytically compare team members’ performance and enhance the
team’s skill and structural development which means that we can employ analytics to find best performers and set their roles for more
optimally working teams. Our research supports the concept of using the right framework can make a big positive difference in team
analytics.
Keywords: Company Culture; Competence Visualization; Digitalization; Human Resources; Performance; Skill; Talent Management; Team Analytics;
Team Development.
1. Introduction
Why do most HR departments fail? Why companies, with strong competitive advantage, get out of business? Even companies with a strong
moat can lose their share, have challenges in trust issues [1], and face unexpected challenges, particularly, in markets with high level of
innovation-based disruptions. On the other hand, some start-ups can do miracles by transforming and challenging current markets, take
frontline in the technology front by utilizing newest promised of ICT and digitalization based solutions [2][108], despite the apparent lack
in availability of resources and possible even an everyday ongoing fight to stay “up and alive”.
In business life, good leadership defines many aspects in success [3] no matter if we talk about teams in sports or companies or any other
form of human collaboration. E.g. why did Xerox miss a historic opportunity to disrupt a market, although they had at their laboratories,
best products in market and leading technologies in hand? In one hand, fear, lack of open-mindedness, and also readiness to cannibalize
current sales all have their effect to explain the results of complacency [4]. But on another, in business environments, good management
and decision making have always supported successful business development activities [4], [106], but there are of course also some exam-
ples from unsuccessful ventures too [107]. In this challenge, lot of managers and leaders think they could utilize their experience and
analytical skills to solve the issue, but by default, our thinking is somewhat biased. Our thinking is based on the information and knowledge
we have selectively given in our lives, by the education we have received and socio-economic environment we have been living into.
However, with right kind of frameworks and effective and neutral algorithms-based analytics, one can create a context for highly educated
decision making, even in complex issues like in talent management [5]. Especially when it is the reality that the companies who build a
culture around their own talents do achieve a competitive advantage over their peers [5]. And also, the development of new business models
[109] will effect to the organizational culture [71][96], which then back connects to the people who work in the company. Plus, talented
teams and managers has it easier to adapt to the continuously changing world [6], [9], especially as shown by the covid-19 pandemic,
which is changing the rules of management, creating a new normal for teamwork and leadership [95].
In the competitive world we live in, talented managers have the upper hand with abilities and grit to decide what sort of directions to
choose, when life throws then a curl bow [9]. Moreover, they understand people and products, so, in the long run, they match better to
markets and can create unique business cultures [7], [8]. Most organizations with exceptional management have a concise framework,
which the company employees can understand too [5], [10]. But, as the size of a company grows, it needs more than “just” good managers,
to embed a framework into its structure [10-13]. Great managing is about release, not transformation, by creating the right context [14],
[15]. And this is the situation where people analytics come in. Companies use analytics to improve their team management and boost
performance [5], [10]. However, it would be worthy to note that, although many organizations use data analysis, they often stumble in
continuous improving measurements [16].
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To start to tackle the previously mentioned challenges, our framework was built upon our experience in project management as well as by
extensive literature review in talent management. Moreover, our data was extracted by a case study, in May 2019, in web development,
illustrated in chapter 6, which was implemented by a team of five developers and marketers. However, our research approach constructs a
model which is scalable in teams and structures. Additionally, our empirical research was used for validation test data generation for the
conceptual framework. In practice, the validation of our framework addresses the following research questions:
1) With framework-based analysis, what new knowledge managers will be able to interpret from team performance?
2) How will framework-based analysis contribute to team members’ role proposals to improve team performance?
3) In what length will it be feasible to use framework-based analysis for team development and team expansion purposes?
2. Environment & structure
One of the most promising from multiple management styles is individual leadership by example based on the work of [6-9]. Recall
for a moment Steve Jobs, a man without technical background, but a brilliant eye in business ideologies, models, and concepts managed to
‘build’ extremely successful products, a company and one of the most valued brands (e.g. Apple, iPod, iPhone, iBook, iMac, etc.) in the
world. Possibly, the answer lies in his vision and ability to attract the very best talents, to fulfil these visions. As a rule of thumb, business
personalities can inspire, set the way, and build the right team for every project [5], [9], [15]. So, do they fail too? Of course, but best of
them adapt too, improvise, and strongly believe in their knowledge-building skills [17], [18]. In short, it is like an evolutionary process [5],
[17], [19], which never ends, when the world continues to change.
In the ever changing business environment, success is based on good continuous development and successful decision making and talent
management activities [17], [18], [19]. Managing talents and building relationships implies that we create emotional bonds for our common
purpose. Also, we weight the impacts and benefits of different collaboration options available for us, to find the best possible operational
and innovation practices [20] and point out companies to consider how they work with the process of generating new innovation seeds
[23]. And then, we also consider team communication practices, as one of the most important procedure for team success [21]. Without
good communication of skills and knowledge, plus shortcomings in the clarify a common direction for the company, team performance
will struggle in their productivity goals and morale can start to drop/take a downhill plunge. In short, for business success, it is important
to have a flair for business, science, technology and communication. As a result, no matter if we talk about innovation and brainstorming,
or creativity and development, for the team the operational context and skills available for the work matter a lot [22], [23], [24].
With good management practices, we should effectively combine skills, know-how, common purpose, empathy, market-oriented thinking,
and resources [25], [26]. Talent thrives in the right environment and, as history shows, when a talented team is against an immature market
the market tends to win. Implying that the environment and an open structure are more than critical for sustainable development [25],
[27], and more important than raw talent [28], [29]. Plus, you also need to be able to focus on your core competencies, to be able to
outsource non-core actions, be most productive in your own internal activities. One good example is the manufacturing industries and their
supply chains, where outsourcing of transportation and logistics is a norm [30]. Companies outsource to have the opportunity to focus their
talented people to the key core business actions. Therefore, if you are already able to outsource, you have the talented members of team
ready to work with the core activities, how do you divide the work inside the organization, what would be the right framework for your
talent management activities then [24], [31-33]?
3. Talent management framework for the talent management challenges
Even the term talent itself is hard to define highly explicitly and definitely even more challenging to manage in complex business world
setting. Nevertheless, we can still create tools to help to be successful in this management challenge. In this context, the tool will help the
organizations to build up their own company specific talent management framework for their talent management activities. Activities that
would be linked to companies’ values and standards according to the industry they belong to. Given the set challenge, in this s tudy, we
discuss how to improve team performance using a purpose build framework. Furthermore, demonstration data for the model will be re-
vealed to explain how to apply and fine tune the ideology of framework-based talent management model in practical context. In the end,
the goal of tool-based analytics is to enhance human driven judgement and decision making to reduce the previously mentioned bias one
might have, based on the background of the decision-making person.
Our proposed conceptual is designed to adapt easily to variety of business sectors and we shall present how to use analytics to improve
team development and decision making for human resources and management in companies aiming to enhance operations with digitally
transformed HR processes [5], [33], [34]. The main issue in talent management is to evaluate team performance, giving the right feedback
[35]. Companies and organizations, more than often, cannot create and employ the right metrics and goals to excel in team development
[29], [36]. The presented framework works in this direction considering that most of the business fundamentals stay the same no matter
the industry or even the epoch that we refer to. After presenting the theoretical background, the framework-based analysis will be visualized
to explain how different basic concepts in framework model do relate to each other. Lastly, a case study-based dataset is illustrated and
discussed to explain use case and practical implementation of the framework in different business life contexts.
To understand the dataset-based examples of the framework, the reader should first be familiar with the general element and ideological
construct of the framework. Following part of the article will present the main framework elements (energy, timeframe, persons skills,
ConCulture, links) and explain their meaning for the big picture of the talent management framework presented. These explanations are
then used in follow up chapter four, which presents the whole framework itself.
3.1. Framework construct energy
In this study, the terminological construct Energy is used as a subjective measure of effort, on a scale of 1 to 10. The measurement is done
for each member of a project, on each specific task they work with. Reason for measurement like this in the framework is the fact, that a
common problem for many teams is the team effectiveness [35], [37], [38] and also the team and it’s individuals learning curve. Commonly,
leaders who can inspire, motivate, and engage, [39] [40] know how to grow a business, develop teams, and employ people’s ener gy that
comes from working together towards a shared goal [5], [41], but to be able to do that, one should have some measures of current and the
changes in energy levels.
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3.2. Framework construct timeframe
In this study, Time is a measure which stands for the time spent by each team member of a project on a specific task, on a scale of 1 to 10.
Time is a highly valuable resource and as such a good decision-making focusing on time-based efficiency, is so valuable competence for
organizations [5], [42]. Therefore, team development with flexibility, complementarity [43] and proper decision-making matter in perfor-
mance and business development [36].
3.3. Framework construct persons skills
In this study, we use Skills as a subjective measure to describe the persons talent level, on a scale of 1 to 10, for each team member working
on the specific task. As skills do reflect to our behavioural and personality aspects, skills will connect to our readiness to share ideas, our
work-related beliefs, and values we have [44], [47]. Lot of people have good talents, but true superior skills and talents are somewhat
scarce [8]. It is said among techies and gigs that great engineers can be ten times more productive per hour than mediocre ones. However,
team spirit is a significant contributor to team productivity too [28], [43], [47]. And in corporate life, the big question is if teamwork or
talented individuals matter the most to organizations [45], or is a good and balanced team a better option? Considering what was just
referenced, it should be clear that it is extremely hard to get super talents, but a lot easier to get good talents to your team. So one should
consider what the company has resources for and build the talent management framework based on the personality of leaders, and the
nature of skills of the individuals in questions [46], [48], [49].
3.4. Framework construct conculture
In this study the terminological construct ConCulture is a quantity measure for the group performance and its effectiveness. ConCulture is
the sum of Energy, Time and Skill for those team members who share the same role/task at the project. ConCulture is a quantity which can
show that culture matters in team or group performance. The phrase: ‘Culture eats strategy for breakfast’ was coined by management
consultant Peter Drucker [50]. It is not only the background, experience, and orientation it is organizational identity. The point here is to
realize as early as possible that people behave according to their beliefs and thoughts as much as to their environment [51]. Individuals and
firms commonly try to imitate their peers and adapt somehow to their surrounding environment [52], [53]. Some of them are active agents,
while others are not. Nevertheless, the main point is to discover and allow all talents to flourish [54], [55]. The same rule applies to culture
- it will shape the raw material that everyone has in his ‘genes’ [54].
3.5. Framework construct links
Building successful teams is hard and to be successful in it, it takes more than an HR department and good managers alone [56], [57].
Links is at the heart of team building. Links are generated when two groups of team members with different or complementary skills are
employed for a shared implementation of a project. By Link, we mean a team member that belongs to two groups or subgroups with
different skills, and acts as a ‘middleman’. The term middleman represents a team member who can communicate and wor k with two or
more subgroups with different skills in a group/team. For example, a developer who is able to communicate with the creative team members
is a middleman who connects developers with the creative subgroup. Commonly, middlemen have managerial skills. Therefore, Links
represent middlemen that connect two or more parties because of their ability to bring together people who speak different ‘languages’.
Energy, Time, Skills, and ConCulture [57], [58] matter however, we may have everything else in a perfect combination but if we miss
interdisciplinarity, i.e. Links, we cannot succeed in terms of growth, productivity, and innovation, as a team [43], [44]. Great achievements
in business and science are not achieved by mixing up the ingredients [45], [46]. It is not a simple sum that generates great outcomes [56],
[57], [58]. Great products are the result of quality links which are building dynamic relationships [59], [60].
4. Framework
Based on the previously mentioned terminology and construct elements, plus the research work done to find efficient ways to map the
talents and task in teams, authors propose a conceptual framework for talent management and team development. Here a ‘framework’ is a
guideline for business and team development. The framework is a construct with following ideological elements [61]:
It is a model used to interpret the causational relationship between the variables.
It presents the logic upon which the research process unfolds.
It contains interconnected abstract ideas and their functional relationships.
It uses specific ideas and concepts for the development of a research framework.
It is constructed on abstract ideas that are the main variables of a research study.
It encourages the development of an applicable theory used by practitioners.
Our purpose is to use this framework for people analytics and as a tool to offer new novel knowledge building option in field of talent
management [5]. The framework can also be used as an evaluation tool, for team performance and management efforts. Our framework
uses five variables by developing a measurable form. We focus on teamwork characteristics and performers’ features as effort, effectiveness,
capacity, efficiency, and interconnection. In Table 1, we present the variables that we employ in our model, which are derived from the
constructs that we described in the previous chapter Energy, Time, Skills, ConCulture and Links.
Table 1: Framework Factors
Framework
Variables
Description
Energy
Energy is a subjective measure of effort for each team member on a scale of 1 to 10 for a specific role/task.
Time
Estimated time, measured on a scale of 1 to 10, that each team member devotes to a specific role/task.
Skills
Skills is a subjective measure of talent level, on a scale of 1 to 10, for each team member with a specific role matched with a task.
ConCulture
ConCulture represents a quantity which stands for the sum of Energy, Time, and Skills for team members who have a shared
role/task. We can use this factor to measure group performance and effectiveness.
Links
Links are generated when two groups/subgroups of team members with different skills are employed for the implementation of a
project. Links are the factor that allows a team to ‘grow’ and deal with more challenging projects.
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We use Energy for decision making, team roles, and team performance. Generally, high performers with experience need less effort to
complete a project, while the same happens with teams under effective leadership [15], [62], [63]. Time is an asset, quite often, poorly
appreciated. As a rule of thumb, well-functioning teams are time efficient even if we scale the team from a handful of members to a big
organization. Skills are an important factor in our model. Each task in a project implementation needs specific skills and participants will
get different roles according to their performance.
Culture is hard to be expressed completely in a quantitative manner, however, using ConCulture as variable can improve team performance
[64]. It is important to note that the ConCulture variable can be used in scaling from an individual to a team, a small company, or an
organization. However, when implemented into a practical case, this approach is relative, and always project or case depended. One ques-
tion is how the ConCulture, as a sum, is to be analyzed from the data. For example, if the ConCulture indicator for the team is steady or
even slightly decreasing, although team works gradually on more and more difficult projects, would imply that this team is a high-perfor-
mance group.
In life terms, Links among team members exist in two forms, emotionally and technically, while trust, which affects team performance
[35], acts as a catalyst for them. In our model, Links are the connection between two performers or two groups of team members with
different skills. For example, the connection between a group of developers and a group of designers is a Link. In managerial terms, the
performer (middleman) who forms the node between the two groups is the person who has an advanced role in managing people with
different backgrounds. So, Links would generate data that, at the right framework, could make human capital investment and human
resources operations way more efficient [50], [51], [52].
5. Model visualization
Storytelling and visualization are important aspects of business, especially for new concepts. To introduce the relationship between differ-
ent variables in the framework, authors shall present different visualization analysis, for ConCulture, Energy, Time, and Skills in the model.
In Figure 1, we present ConCulture as the area of a circle which consists of all the other three factors, as mentioned before, ConCulture
should be seen as a sum of the other three. We may try a thought experiment imagine a performer who works on the same task, his/her
skill is constantly improving, and the Grey area is growing. However, the total area of the circle, the ConCulture, might stay the same if
the person needs proportionally less Energy and Time for that task, under evaluation. The same could be for a group of performers. So, for
similar projects, we would prefer to see a steady ConCulture with a growing Grey area (Talent level). Moreover, a team with exceptional
performers would present a steady ConCulture, although their projects would get more and more difficult. But a ConCulture with a growing
Blue and/or Orange area could indicate some warning signs that the team manager should probably take a look into. Therefore, we could
compare ConCultures for similar projects or tasks for team development in groups and teams to identify where to put the development
efforts.
Fig. 1: ConCulture in Framework.
Links, as we mentioned, are the most important aspect of team growth and development. Also, as a variable, Links will provide additional
‘dimension’ for the visualization, as Figure 2 shows. In practice, we add a slice for each group of performers that have a skill in common.
So, team development would be presented by a cylinder with as many layers as the skills needed for a project implementation. At that type
of cylinder, we could set the slice with the biggest ConCulture, i.e. more Energy, Time, and Skills, at the base, followed by the next smaller
slice. In that case, we could observe the team or the group or even the performer who has, probably, the biggest contribution to the project.
The concept of Links could also have an organizational approach, meaning that instead of performers and/or groups, Links could represent
departments in a big organization. However, this topic is an object of future research. In our case, projects and teams with many Links
imply an interdisciplinary approach that is one of the most valuable factors, if not the most valuable, in innovation and brainstorming [58],
[65], [66], [67].
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Fig. 2: Links as New Dimension.
6. Illustration of the framework
This framework could be an important reference to every organization, especially for those with R&D aspirations. One of the most signif-
icant aspects of business is to maximize the value of resources, especially human resources [5]. As we know, team performance, innovative
thinking, and consequently management, define business dynamics [23], [49], [68]. Meanwhile, implementing a framework to work as a
process needs data and a robust model analysis that is the main point in analytics.
As we mentioned, for the implementation of each project, we need Energy and Time, combined with the right Skills. All of them come
together in the form of ConCulture. And finally, for promising projects, we should develop Links among different skills, fields, and even
more within departments and/or sectors. We must think of people analytics as a Lego construction or a matrix that may not be a strict
mathematical structure. In Figure 3 we present a 3D matrix. Each cell is represented by a small cube. Also, vertical cells form a single
column, while the horizontal ones form a single row. Moreover, arrays with the same color present team members with the same skill.
Therefore, in Figure 3, we have a team with 3 skills, depicted by the green, yellow and red cells, while each block represents a unique skill
(coding, copywriting, and design in this case). Furthermore, every single column represents a team member.
Fig. 3: Talent Management as a Matrix.
In Figure 4, we show that each horizontal layer represents a basic factor of our framework at the same order, Energy, Time, and Skill.
Consequently, we can create a simple database for each team and project to analyse their performance in time.
Fig. 4: Layers of Basic Framework Factors.
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We use a simple example for a project on web development in which we’ve used the following three skills: coding, copywriting, and design.
This team consists of 5 persons i.e. 5 single columns, one for design with red color, one for copywriting with yellow, and three for coding
with green. We have also used a scale from 1 to 10 to show how much of each member’s Energy and Time (1st and 2nd layer respectively),
we are going to use for the implementation of this project. Each team member, as an individual performer, has ten units of Energy and
Time. Additionally, we have scored the capacity of each member on his skill with a scale from 1 to 10 (3rd layer). Therefore, Figure 5
shows this matrix filled with numbers from 1 to 10. For instance, reading the green row at the 3rd layer (score skill for three developers)
we conclude that our most skillful developer is at the right, at the green cube with a score of 9. However, he will devote the least time to
this project, as the green cube with 2 units of Time shows, and even less of his energy, as the green cube with 1 unit of Energy shows. In
Figure 5, we can also see the labels for our skills on that specific project. An interesting column is also the green one at the left side of the
green block which represents one of the developers with units of Energy: 7, Time: 5, and score of Coding: 5. It represents the least skillful
developer, Coding: 5, but he will devote much of his Time: 5, on this project, and even more of his Energy: 7. Additionally, he is the Link
between the developers green block of cells and the creative members of the team, the Copywriter at the yellow column, and the
Designer at the red column. Therefore, he will play the most important role in this project implying that he will manage the team to meet
the challenges in communication, as well as the technical aspects of this web application.
Fig. 5: Talent Management with Analytics.
Another interesting point at this matrix is to compare the Energy: 4 of the Designer at the red column, with the Energy: 8 of the Copywriter
at the yellow column. The Copywriter seems to need double effort in comparison to the Designer, but not double time both are marked
at the same Time: 4. That means we have an experienced Copywriter who must create a lot of content for this business in a short period.
By the way, none of our team members will devote the total of his time to this project. Even the person who has the responsibility of
management, the first green column at the left, will devote half of his available Time: 5. Implying that all members will also work on
another project.
Wrapping up, we could extract some quick conclusions. The team member with the highest score in coding will provide mostly guidance
and mentoring, implying that his time spent on this project will be short. Therefore, we refer to a small-scale technical project, where the
management of the whole project will be done by the developer who is related to the copywriter and designer. In this example we did not
mention or measure ConCulture. Recall that in the description of our framework, we have said that ConCulture is the area of the ‘circle’
formed by Energy, Time, and Skills. That was a pictorial way to see the ‘culture’ of a team. In a word, a team with a culture of growth [56],
[57] means that they can undertake challenging projects using less of their Energy and Time. Therefore, in our future research, we could
compare teams represented by matrices on different projects and vice versa (i.e. projects with different teams). Moreover, we could
follow the development of a team on projects that require the same skills. Additionally, we could test the performance of our team in
different environments and, even more, on changing roles but not necessarily team members. For instance, on our project that we studied
earlier, we could change the «manager» role but, the team, as far as it concerns its members, will stay the same.
Consequently, there is a lot of room for research in talent management and team development, even more so, if researchers use people
analytics effectively. For small-scale projects in the same field, we study and compare their analytics. We can also compare ConCultures
and Links. Additionally, we can compare the quality of our products and services with our analytics on team performance. Furthermore,
we should conclude by comparing different projects with different tools and technologies, as well as the development of a team and its
performance in terms of time, productivity, creativity, and collaboration.
In the following chapter, we present different approaches to management in practice. It would be important to note that the framework that
we just described has nothing to do with hierarchy. That is why the team building approach is the most effective for teamwork, once you
get it right.
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7. Different approaches for applying the framework to practical context
7.1. Bottom-up approach
This one is supposed to be an approach that encourages innovation [63], [69]. It is known that many organizations and companies allow
their employees to have free time for creativity and brainstorming [63]. However, free time does not always imply innovative thinking [69]
first, you need to choose suitable personalities for that kind of job. However, the question for this kind of approach remains. Who is going
to evaluate these ideas, categorize them and, finally, decide which one could contribute to the R&D of the company? Successful R&Ds
build the foundations for the next breakthrough in institutions and companies [70]. Here is the catch, management needs critical thinking
and the ability to think both into context and out of the box.
7.2. Top-down approach
This is the traditional, old-school approach that still works and is being employed by most businesses and organizations. Particularly for
those who cannot find ways to eliminate bureaucracy, a top-down approach is inevitable. However, as great investors say, bureaucracy is
equivalent to cancer for businesses. Sooner or later, bureaucratic organizations fall victims to their weaknesses that are lack of communi-
cation [97], transparency, and management based on merit. In innovative companies, best ideas win [72]. This type of approach is not for
high-growth companies that never lose their flair to innovation [73]. It resembles more to control systems and hierarchies like governmental
bodies and organizations.
7.3. Team building approach
This approach is effective once a team has been shaped. When it works, it is by far the most productive and creative method. The hard part
is to figure out how should teams be formed. People generally believe in teamwork, but they all have a different approach to this. And, as
business history shows, well-functioning teams are the best predictors of success [49]. Venture capitalists who have survived for decades
know better [48]. Also, the same goes for education. For example, in hackathons, many studies have found that the best-balanced teams
with heterogeneous people tend to generate more innovative solutions than all the other teams [74], [75]. The hard thing in teamwork is to
find the right balance between individuals and team members [76], [77]. Slipping to one extreme means that it is not feasible to form a
team anymore. Where the other side implies that personality and expression are being suppressed [28], [45]. Therefore, team building is a
form of highly trained art. Businessmen and managers, who know how to build Links, are usually also quite talented in reading human
behavior. They can interpret the way people interact with each other. Because pulling hard is worthless if you are not pulling in the same
direction. At last, team members will form a team aligned with the organization’s goals [78]. Assuming, of course, that those goals are well
defined otherwise the whole venture will go astray [79].
8. Discussion - conclusions
There is an increasing interest in the academic world and within the practitioners for talent management [24]. However, most of the aca-
demic literature focuses only on theory building and does not touch applications with measurable results for talent management and team
building [33]. Although, the approach at a conceptual level is important to define a new field [61], the applied knowledge is critical to
management and everyday decision-making [54]. This study presents a talent management approach that aspires to be validated by results
and experimental data in real world case studies. With the framework and practical data-based validation, we aim to contribute to talent
management research by proposing this framework as novel approach as digitalization tool in HR practices, to support daily human re-
sources management work. At the same time, we want to open the discussion for talent management products and applications which could
boost up the management and governance in next level. The road ahead in performance management lies in a simple, intuitive analytics
framework based on meritocracy and performance [5]. Constant feedback coming from multiple sources with exceptional and frequent
coaching at scale is at the very fundamentals of talent management [10], [35] and one of these sources is the topic specific scientific
research.
It is important to note that building a team with A-level performers should also be judged by A-level performers [31], [55]. And it is even
more challenging considering that growing companies look for talents and high performers who would grow into their culture [10], [27].
Therefore, talent management should not only focus on how to build a team, but also on how to choose and nurture talented people to
unleash their potential [56], [57]. And this is not a fact just for businesses and their talent building needs. The same goes e.g. for athletes
and sports connection, up to the newest trends like eSports [80]. As an analogy, eSports teams want similar personalities to enhance a
team’s performance. They want people to push towards the same goals, share ideologies, have a "team spirit" and team culture. And finally,
like any sports team managers, people in charge love to nurture talented players’ skills towards new levels to help the whole team to unleash
their full potential.
New innovations are generated by people and they most often come to light through idea and knowledge sharing, all around different
industrial and research sectors [81], [82]. As innovation and minds with new ideas do not just come to life out of thin air [83], we have
focused on most essential capital companies have, the human capital and the related talent management activities [5], [83], [84]. That is
the reason why we need Links for team development as the talent management should always be interdisciplinary work. Also, we need to
focus on our core specialties, cultural strengths, and competencies, building links and networks with other high performers. Being able to
build teams over company limits, come across opportunities for different collaborative planning, shared forecasting, and in industrial
context also related replenishment activities too [85], which as over the company boarders activity, shall need even more demanding team
management efforts.
From business point of view, the analytics and management frameworks intertwine together in nowadays’ economy. We need a reliable
source of data, a dynamic model to analyze them, and a framework(s) which improves our understanding of our business and its internal
operations. Future research should focus on people analytics with connection to large management related datasets and over organization
limits reaching collaborative teams. We live in a probabilistic world where everything is possible in markets no risk management would
suggest some of the best entrepreneurial bets in history. Finding where the next bet should be, teaming up with collaborative minds, and
synchronizing our efforts with the tide are the fundamentals of innovation [86], [87], [88].
177
Nowadays, virtual teams are very common in software development and digital services, partly as a result of historical development, but
also partly because of covid-19 pandemic. Geographically distributed teams are named as ‘virtual’ teams but, in practice, these work groups
are not ‘virtual’ at all because many of them work daily providing solutions and services to businesses and individuals [89]. Moreover,
team diversity can be highly valuable for work groups because it connects people with different backgrounds, providing feedback and
networking opportunities [66], [67]. As research shows, although virtual teams could be more complicated from a managerial point of view,
diversity can improve the overall problem-solving capacity of a group [65]. On the other side, dispersion can hurt performance [90] because
dispersed teams without e-leadership fail to perform important processes and reach their potential as a work group [91]. Therefore, man-
agement has a critical role at the organizational structure of a virtual team’s network, and not only human managers but artificial agents
(AAs) too [92], [93], [94]. All in all, best practices in talent management is constantly changing due to digital transformation of our society.
9. Future research
Based on our findings, we suggest follow-up studies that focus on developing larger scale team studies and methods on how to map Links
between different partners and large-scale networks with software and visualization tools. Also, the impact of technical performance meas-
urement and the global digitalization and work motivation in industry 4.0 times [87], should be cross studied with the performance too. As
general operations as well as IT tasks are seeing automatization and robotization [99-105] in wide scale in many different areas of business
life, also HR should look new novel solutions and performance from automatization. In practice, as teams and companies grow, they
collaborate with other groups, teams, departments, and businesses. At the same time the need new tools for their HR activities and talent
profiling [99]. Therefore, in the proposed team performance mapping framework, a new dynamic structure is built for "primary" and
"secondary" Links because partnerships and collaborators could extend far beyond the core group of performers, meaning that linked
groups may create even more Links. That is an interesting topic for further research how Links are related to innovation and business
development. Not just in the number of Links but the type, the quality, and the distribution of them. In a way, our description of Links is
also the ‘adjacent possible’, implying that networks underlie innovation. In a word, our proposal in talent management framework could
extend in two related directions; in team development and innovation, considering that a multidisciplinary approach is a key to growth [56],
[89].
ConCulture could be one of the most important metrics for team performance and development. In our framework, it is a relative metric
that can be employed to study teams in projects on different levels of complexity or how teams perform in projects at the same complexity
as they acquire more experience in their field. Studying teams for large periods provides us with datasets to analyze their ConCulture
maxima and minima. For example, entry-level professionals or newly formed teams spend much of their Energy and Time on relatively
simple projects. But of course, there are exceptions, e.g. High-performance teams created to work on vaccines for Covid-19. Additionally,
teams with bad communication spend, also, much of their Energy and Time on project implementation, but they present higher individual
scores on Skills. On the other hand, talented performers within a team that matures in time will show a pattern of gradually shrinking
ConCulture because their skills in project implementation may have topped but, effective teamwork slowly reduces Energy and Time.
Lastly, we could compare two teams being at the same level of Skills and working on similar projects should their energies differ
significantly, could be a sign of a team with strong potential. Meaning that teams that spend relatively few units of Energy, while all other
factors are held constant, may handle more complex tasks or projects which demand analytical skills and creativity.
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... The most significant factor of business is to maximize the resources' value, particularly human resources. However, with practices of distinctive management, it should be to integrate talent management (TM), skills, shared goals, know-how, sympathy, thinking of market-oriented, and resources effectively (Vatousios & Happonen, 2021). TM depends on the knowledge base of companies, along with the criteria of the operation process (Ibrahim & AlOmari, 2020). ...
... TM focuses on attracting, selecting, developing, and retaining employees with the necessary skills, knowledge and abilities to achieve the organization's goals. In order to foster innovation within an organization, it is crucially important to have employees with diverse backgrounds, experiences, and perspectives (Alsakarneh et al., 2023;Mahfouz et al., 2022;Mkhize & Brijball Parumasur, 2022;Mahfouz et al., 2021;Vatousios & Happonen, 2021). ...
... In relation to the above, the corporate viewpoint plays a crucial role in the strategy of HRM globally and boosts differences in its practices, with TM, between different corporate environments (Thite et al., 2021). TM has not only concentrated on how to establish a work team but also on how to select and grow talented individuals to release their capabilities (Vatousios & Happonen, 2021). In the same study line, Mohammed et al. (2018) revealed that TM as a major combination of strategic HRM can enhance performance of the company in the long run by recognition the strategy created through its talented people. ...
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The main objective of this study is to investigate talent management (TM) on innovation in Jordanian pharmaceutical companies. TM can enable employees to develop the necessary skills, knowledge, and abilities to implement innovative ideas (Ibrahim & AlOmari, 2020; Mohammed et al., 2018). The quantitative method was used to conduct this study to make the results of the study statistically significant and empirical. Data from the study has been collected by utilizing a questionnaire, which was handed out to 400 managers and employees in Jordanian pharmaceutical companies. Only, 295 retrieved questionnaires were usable for analysis. Sequentially, the Statistical Package for the Social Sciences (SPSS) software program was used to analyze of study data. The findings of the study showed that TM affected on innovation significantly and positively. Also, the results of the study statistics showed a positive significant impact of TM dimensions, identifying critical positions, competence training, development, and reward management on innovation. On the basis of the results, this study conducted some recommendations: Jordanian pharmaceutical companies should offer training and development programs to help employees build and deepen their knowledge and skills. As well as to providing incentives such as bonuses and stock options to retain high-performing employees. Hence, Jordanian pharmaceutical companies should focus on fostering a culture of innovation and collaboration that encourages employees to share their ideas and knowledge.
... In one example, Gurusinghe et al. (2021) claimed that theory-based correlation for adopting HR analytics and contextual factors that affect building a predictive HR analytics capability is still lacking. Engineers such as Vatousios and Happonen (2021) also indicated that, although HR analytic automation still faces challenges, the data provide a practical analytical framework for decision-making by comparing team members' performance and optimizing learning and development. Although Wiblen (2016) noted that a set of talent management criteria are complex to pre-defined and automate as it is subject to consideration of human and organizational capital, Wiblen and Marler (2021) stressed that collaboration between HR managers, departmental managers and automation experts are essential to pre-determine the appropriate automated criterion based on the needs of the organization. ...
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As society evolves, moving forward into the realms of Industry 5.0, it is imperative to develop a robust collaborative talent management model that can endure external crises such as the recent Covid-19 pandemic. Despite the antiquity of collaborative practices—traceable back to early human societies—both practitioners and academics have frequently focused primarily on exploring the catalysts for collaboration, often neglecting to provide a holistic conceptualization of effective human collaboration. In alignment with the Sustainable Development Goals, this paper endeavors to critically review and delineate the evolution of talent management and collaborative intelligence literature. Employing a systematic review methodology, this study aims to formulate a novel framework for collaborative talent management, drawing upon the principles of a collaborative intelligence mindset, and to suggest avenues for future research in this domain. The findings propose the employment of collaborative intelligence through a mindset perspective as a means to bridge the literature gaps identified in areas such as interdisciplinary and cross-sector collaboration, digitalization and artificial intelligence, collaborative leadership styles, and performance measurement within the field.
... We excluded articles involving mechanical and civil engineering, medicine, and biology to focus on technology fields, where a person's physics has minimal to no effect on the ability to work in the field. Also, mainly because of the current fast-phased global digitalization [8], [32]- [39] of everything [4], [5], [40] and labour shortage in ICT fields. In addition, to have a general focus on STEM, the authors also have a more specialized look at the computer science and IT field, considering the high speed of digitalization the global economies are currently going through. ...
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Background and context: Even when the modern world is transitioning quickly into the digital age, the gender gap continues to be more acute. Social scientists note the low number of women in Science, Technology, Engineering, and Maths (STEM) as a scientific, creative, economic, and innovative potential loss. The importance of women's participation in technical sciences and technical production is also recognized as a factor for stable social development. Objective and method: A scoping review has been conducted to study females' reasonings and society-based explanations for females to choose STEM studies at the Higher Education Institutions (HEI) level. The goal is to understand the reasons for the low number of females in STEM careers related to education in STEM and to reveal the underlying phenomenon. Results: The gender attitudes and stereotypes inherent in boy and girl children's spare time and school life narrow the children's possibilities from what specific education and career direction they can choose. But only a few genetics and physical differences could postulate and explain this status quo. Humans have formed a particular social framework; in the process, we have socialized childhood and education. When choosing a future specialization, the society in which the child grew up, the family that brought him up, and what traditions they invested in are much more important than his gender. Implications: Based on our results, we summarise the scattered knowledge base and utilize the analyzed summary for recommendations to further the development of HEI programs to make them more fitting for both genders and help reduce the gender gap. The universities should cover the achievements of females, more often in their media channels, related to the previously mentioned interest in STEM, based on the presence of a role model. When choosing a university, girls can see a real example and be inspired to study STEM majors.
... Interestingly, digital design [100], digitalization [101], and digital transformation [44] megatrends such as information technologies (e.g., computer science, information and communication technology, information technology software, etc.) are not so popular compared to the previously mentioned subjects in waste-related doctoral dissertations. Additionally, it was noticed that the current prominent growing waste-related problem area of electronic waste (e-waste) did not gather its own separate subject category in ProQuest, even when e-Waste itself is a big global problem [102]. ...
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Solving global sustainability challenges is based on a well-researched understanding of the corresponding underlying problems, key contributing factors, and current state-of-the-art. Utilizing the scope of recent doctoral studies is one potent way to map current young researchers nowadays and near future research focus areas and directions. Here, the authors focused on waste management, especially, mapping dissertations on the grooving global challenge of electronic waste. Currently, this is the first scoping study of its kind, about e-waste-related trends within the circle of waste management related doctoral studies. Apparently, in a waste-related context, dissertations have a low interest in directly focusing on the topic of consumable e-waste, even though this waste stream is the world's fastest-growing domestic waste stream. Only a handful of doctoral dissertations, related to e-waste management, were found in the study. In a more general waste-related benchmarking/comparing mapping search, the ProQuest Digital Dissertations database was found to contain 201 dissertations between the years 2015 and 2022, covering waste matters in general. E-waste was covered in six of these 201 dissertations. These six did not have any real overlapping between each other and their research areas. Further thesis content analysis revealed e-waste topics to be currently addressed through consumer behavior, material recovery processes, forecasting, and robotics. The need for future research in the areas of consumable e-waste management is also widely discussed.
... As a short summary of potential of social media and possible risk mentioned previously, we present the Table 1, based on [11,15,19]. When adopting the prospects, companies should take sufficient orientation into account and connect this to proper talent management activities and support tools [24,25]. In orientation, it is quite easy to make use of the integral game-like elements of social media to make orientation and learning more interesting, exciting, and inspiring [26]. ...
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The research produced understanding how fresh employer’s private social media brand can be beneficial for a company brand. It was also found that the companies' own brand image was not inline with their set expectations for usage of employer social media brand and skills. For the given challenge, literary review on the means for improving the situation of financially limited SMEs was carried out. Overall research data is based on literature review and interview data with students and company executives. Based on interviews, companies are looking for applicants who have an "individual brand" with visible personality. In the interviews, companies perceived "brand" to be connected to distinguishable individuality and presence of a personality. The study objectivity is to stimulate discussion on SME brand structuring as well as impact of individual brands into the SME brand building efforts with practical action options. Individual brands should be taken into account in recruitment and special attention needs to be put to the following orientation process, social media usage and processes of brand construction, with the new recruits. Whether the company has guidelines for social media actions or not, the public presence of the employee connects their brand with the company online brand, both in good and bad. Clear strategies and objectives for (new) employees how to connect their individual brand to company brand building is needed to be given from companies to their employees. This will also require guidelines for behavior in social media for employees, when communicating trough social media profiles, which could be connected back to the employing organization. Lastly, we studied expectations and beliefs of young recruits and companies into the key factors at the recruitment process, revealing mis alignment between the students and companies’ views.
... On the other hand, as Mamabolo and Myres (Mamabolo & Myres, 2020) have elaborated that the skills that are required in the different phases of the entrepreneurial process are not a simple cut-through task to do. Even though there are, of course, some digitalization-based solutions to map the skills of personnel in company (Vatousios & Happonen, 2021;Vatousios & Happonen, 2022), the work by (Mamabolo & Myres, 2020) suggests that it is a truly challenging task to define the exact match between the needed skills and the job under consideration. ...
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It is common for SMEs to include their employee’s social media image and followers into their own brand development strategy. They thus consequently also make the social media image and followers of prospective employees part of their recruitment strategy. Most students however have not yet noticed this trend and are mostly focusing on goals set by their education programmes without focusing on the potential marketability of their own social media image. To address this gap, we conducted a literature review and interviewed representatives from recruiting companies. Our findings reveal that growth-oriented companies seek applicants with good individual brand image because they perceive it as an indication for future gains in this regard. Moreover, we also found that companies should support new applicants’ skills in their orientation process, especially related to social media branding because it will potentially help them align to the company’s brand vision.
... The following visualizations are about two respondents, A and B, as a case study example for a Web Development team context. For this case, authors have applied team members-based team development analysis methodology [60], where in this particular case, the respondent A did belong to a creative subgroup while respondent B was in a developers' subgroup. Like explained at the previous section, a dataset consists of the respondent's answers without numbers, punctuation, grammatical prepositions, and a collection of stop-words is analyzed and visualized for interpretation, based on the frequency or the weight of each term. ...
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The digital transformation of HR is the new normal in the enterprise business world, in quantitative analysis side, but the decision making will remain qualitative for the long unforeseen future. We present digital qualitative methods for talent profiling in order to understand each team member’s mindset, by utilizing brainstorming type questionnaire data. As a result of the study, a stand-alone solution is being developed which improves HR operations and talent profiling for individuals and organizations. Furthermore, this abductive approach indicates that this open-ended conceptual framework returns a promising qualitative analysis. The research work addresses the issues of the subjective nature of human resources with an open-ended approach which sharpens our decision-making without excluding it.
... The following visualizations are about two respondents, A and B, as a case study example for a Web Development team context. For this case, authors have applied team members-based team development analysis methodology [60], where in this particular case, the respondent A did belong to a creative subgroup while respondent B was in a developers' subgroup. Like explained at the previous section, a dataset consists of the respondent's answers without numbers, punctuation, grammatical prepositions, and a collection of stop-words is analyzed and visualized for interpretation, based on the frequency or the weight of each term. ...
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