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High Potentials as High Learners

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Abstract

To deal with change, organizations need to find and nurture those who are most facile in dealing with it. Identifying those who can learn to behave in new ways requires a different measurement strategy from those often employed, one that looks at the characteristics of the learning agile. In this article, we explain some initial steps toward identifying the women and men with the most potential to lead, regardless of what the future may hold for them. As indicated by a measure of learning from experience, those with the highest potential tend to be interested in first-time challenges, are eager to learn, and can get results under tough conditions. © 2000 John Wiley & Sons Inc.
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This is a pre-publication edition. Do not copy, quote or distribute without express written
permission from the authors, Robert W. Eichinger and Michael M. Lombardo.
High Potentials as High Learners
Michael M. Lombardo and Robert W. Eichinger
Published in Human Resource Management,
Winter 2000, Vol. 39, No. 4, Pp. 321-330.
Finalist for the Ulrich/Lake Excellence in HRM Scholarship, 2001
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© Copyright 2002 Michael M. Lombardo & Robert W. Eichinger, All Rights Reserved.
THE PREMISE
A common definition of high potential in many
organizations consists of a “right stuff” success profile
listing several competencies that current executives have
now or should have in the future. The identification
process consists of looking for early signs of those skills
in those less experienced. This approach makes sense.
Many attributes such as intelligence and certain personal traits typically found on
those succession planning profiles are known to be stable over a long period of time
(Howard and Bray, 1988; Bentz, 1986,1990; Fiedler, 1996).
What is a high potential?
How do you find them?
Can you help someone be a better high
potential?
But what evidence exists that a promising 25-year-old looks like a younger version of
a 50-year-old successful executive? Is that all there is to it? Will this explain how the
person will deal with problem performers or shut down an operation or deal with
change or fragmentation or any of the shifting demands placed on managers in
organizations in the future?
The premise of this article is that if people learn, grow, and change across time (and
consequently develop new skills) then comparing with the competencies of 50-year-
olds will not be totally informative. Selection should be a combination of looking at
those characteristics that don’t change much and can be detected early (such as
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intelligence) and those that flower across time as the person learns to deal with fresh
situations.
In our view, learning from experience is how a person demonstrates what is termed
high potential. Few would argue that potential can be detected from current
performance in an area the person already knows well. The word potential according
to Webster’s means, “existing in possibility; capable of developing into actuality.”
So it cannot be fully detected from what a person can already demonstrate—it
requires that the person do something new or different. In our definition, potential
involves learning new skills (or honing current ones) in order to perform in first-time
situations.
To support this argument, we will deal with two issues. First, there needs to be some
evidence that people do learn, grow, and change across their careers. Otherwise, we
should just use the variables that can be detected quite early. Second, there needs to
be evidence that measuring learning from experience, acumen, or agility can be
accomplished reliably and that it relates to something of importance in organizations,
namely one’s designation as a high potential.
While certain skills and attributes can be selected for, it seems what happens after
hiring a person has as much or more impact on long-term worth as anything which
has gone before. In the long-term AT&T studies (Howard and Bray, 1988; Bray,
Campbell, and Grant, 1974) for example, those who were assessed low for potential
were often more successful if they had developmental jobs and developmental
bosses. A greater percentage of low assessed were promoted than were high
assessed if their developmental opportunities were noticeably better.
THE CASE FOR
LEARNING,
GROWTH, AND
CHANGE
Two of the studies at the Center for Creative Leadership (McCall, Lombardo and
Morrison, 1988; Morrison, White and Van Velsor, 1992) found that if people have
certain powerful on-the-job experiences and learn from them, that this bodes well for
long-term job success. Sternberg, Wagner, Williams and Horvath (1995) identify
street smarts (or learning from experience) as far more correlated with level attained
in organizations than IQ. In a similar vein, emotional intelligence (McClelland, 1999;
Goleman, 1998) has been related to performance.
Thus the evidence is compelling for the building of managers across time. In addition
to the studies cited above, the work of Hall (1986, 1995), Gabarro (1987), and Hill
(1992) paint a portrait of the learning process necessary to make transitions from an
individual contributor to the first level of supervision to the executive suite. McCauley,
Eastman, and Ohlott (1994) have demonstrated how different job demands create
different learning demands—how there is some pattern to what managers see and
gain from their experiences.
More recently, Hollenbeck and McCall (1999) summarize the state of current
developmental practices, and Conger and Benjamin (1999) detail the efforts of
innovative organizations to improve their success rate in building leaders.
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PEOPLE DIFFER AS LEARNERS FROM EXPERIENCE
It further appears that people benefit differentially from experiences: Some learn new
perspectives and behaviors from life and work and some don’t. In one of the Center
for Creative Leadership studies (McCall et al., 1988), successful executives had a
strong and similar pattern of learning from key job assignments. The derailed
executives, all of whom had been successful for many years and had gone through
many of the same key assignments as the successful executives, had virtually no
pattern of learning from jobs.
DERAILMENT IS PARTLY NOT LEARNING NEW
THINGS
In a companion study (McCall and Lombardo, 1983), one of the key reasons cited for
derailment was being blocked to new learning. According to organizational insiders
interviewed, people quit learning, thought they were infallible, became legends in
their own minds, or couldn’t make the transition to a different job or way of
behaving. They relied on what had gotten them to where they were, ironically
becoming victimized by their past successes. They got locked into standard ways of
thinking and acting that didn’t really meet the new demands. They also
underestimated the newness of the demands, seeing them as just another version of
what they had done before.
Once dug into this non-learning pattern, strengths tipped over into overuses and
weaknesses as they did more of what had previously been a good thing. The bright
sometimes lorded it over others and missed getting new ideas, the organized became
detail drones and missed the big picture, the creative had their fingers in too many
pies and couldn’t innovate, the aggressive over-managed and couldn’t empower or
build a team.
FAILURES ARE USUALLY NOT LEARNING NEW
THINGS
Failures to learn new things almost inevitably result in failures to perform over the
long term. Changing circumstances call for rapid learning and fresh skills. Many
studies (e.g., Sternberg et al., 1995) note learning quickness or street smarts as a key
in performing in difficult transitions or new jobs. For example, the Benchmarks®
instrument (McCauley, Lombardo and Usher, 1989) which is based on the learnings
from experience reported by hundreds of successful executives, contains scales which
correlated strongly with performance, potential, and actual promotion.
Another recent study (Spreitzer, McCall & Mahoney, 1997) related performance as an
expatriate to learning. Expatriate jobs contain a high portion of performing under
first-time and tough changing conditions. A major finding was that curiosity, learning
adventuresomeness, and more effective learning from experience differentiated high
potentials from average performers.
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WHY WERE THE SUCCESSFUL EXECUTIVES
SUCCESSFUL?
In contrast to those with similar experiences who derailed, successful executives were
different or were helped to become different in several ways:
They sought and got more feedback (from self or others) on how they came
across to others and what they needed to do to improve and perform better.
They had roughly twice the variety (but sometimes the same number) in the
“on the job” leadership challenges they faced.
They responded to this newness and adversity by learning new skills and
additional ways of thinking (Lombardo and Eichinger, 1989).
These independent streams of research provide evidence that effective managers and
professionals learn and change across time and that this new learning matters for
performance. The skills acquired so far is certainly an issue in selection of high
potentials; more so is what they can acquire in the future—their skill in learning to do
what they don’t yet know how to do. The measurement of potential can be
strengthened by adding another concept to success profiles, that is, the willingness
and ability to learn new competencies in order to perform under first-time, tough or
different conditions.
SO WHAT DOES
THIS ALL MEAN?
WHAT CHARACTERIZES THE LEARNING AGILE?
This leads to the second question of what these learning agile people do and think
and how they might be identified. Other than saying that all organizations would like
to have people who eagerly learn new skills in response to tough, changing
circumstances, how would such people be identified?
We conducted two studiesi to see whether we could better define what a superior
learner from experience (someone who is learning agile) looked like with the goal of
creating an instrument managers could use to assist in nominating high potentials
with greater ease and accuracy.
The questionnaire was somewhat based on a series of studies conducted at CCL.
Through content analysis of interview and survey data of executives (Lindsey, Homes
and McCall, 1987), as well as a research intervention study with 55 managers, it
became apparent that those who succeeded in making a behavioral or attitudinal
change had specific learning strategies that they could articulate to varying degrees.
Further review of relevant literature on learning strategies—such as studies of
children who “spontaneously” learn to read (Pressley, Borkowski and Schneider,
1987; see Appendix: Selected Learning References for other listings)—indicated there
were some common themes in learning something new.
Items were written to tap constructs of learning agility that were hypothesized from
prior studies and relevant literature. All items were either explicitly learning oriented
or required learning in order to perform under first-time conditions.
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Someone who knew the person well, usually a boss or long-time associate, filled out
over 400 questionnaires across the two studies. Ratees were also independently rated
by a second person: usually a boss, Human Resource professional or succession
planning officer with access to organization judgments/ratings of the person. Two
ratings were completed: a performance/potential continuum and a propensity to get
in trouble with others.
The first measure runs from (1) poor, to (2) OK performance, to (3) excellent
performance but not promotable (usually due to lack of skills for higher jobs), to (4)
promotable although not yet a high performer at this time (may be new in job as
high potentials often are), to (5) high performer and high potential. We put
performance and potential together purposefully so we could examine pure potential
regardless of performance and also potential with performance.
The second measure, propensity to get in trouble, was included because some
experience with active learners suggests that at their worst they can change things
that don’t need changing, alienate others, etc. We wanted to insure we were not
measuring overly aggressive though not always successful change agents. While this
might be somewhat indicative of learning acumen, it wouldn’t often lead to effective
change.
As a result of factor analysis, four factors that describe different aspects of learning
agility were constructed.
RESULTS
1. People Agility—Describes people who know themselves well, learn from experience,
treat others constructively, and are cool and resilient under the pressures of change.
2. Results Agility—Describes people who get results under tough conditions, inspire
others to perform beyond normal, and exhibit the sort of presence that builds
confidence in others.
3. Mental Agility—Describes people who think through problems from a fresh point of
view and are comfortable with complexity, ambiguity, and explaining their thinking to
others.
4. Change Agility—Describes people who are curious, have a passion for ideas, like to
experiment with test cases, and engage in skill building activities.
Each of these factors was significantly associated with being considered a high
potential and staying out of trouble. The four factors together correlated significantly
with both criterion measures (R-square = .30 for both). Each scale correlates
significantly with both criterion measures (P<.0001).
We also looked at the correlational patterns for five cuts of the data. A measure of
learning skill should show similar and significant results across age, gender, levels of
management and individual contributor positions, both line and staff positions, and
hold across companies.
Learning acumen should not necessarily increase with age or level, for example, but
rather reflect characteristics and skills of the person that help the person learn in new
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situations consistently over time. If 45-year-olds had significantly better results than
30-year-olds, we might have to conclude that something else, such as the jobs they
had held and the courses they had attended, influenced these skills along the way.
The results bore out our hopes. The correlational patterns were similar and significant
for all five groupings. These findings suggest that learning skill or agility is important
in the identification of potential for both genders, for varying age groups, for both
line and staff roles, across levels of management and for individual contributor
positions, and in all six companies in the studies.
SUMMARY OF THE CHARACTERISTICS OF THE
LEARNING AGILE
From the data, we can say that people high in learning agility and therefore possibly
high potentials are described as:
1.
Seeking and having more experiences to learn from.
Enjoying complex first-time problems and challenges associated with new
experiences.
Getting more out of these experiences because they have an interest in
making sense of them.
Performing better because they incorporate new skills into their repertoire.
The face they show to the outside world is described as follows:
Being eager to learn about self, others, and ideas.
Showing genuine willingness to learn from feedback and experience and
change their behavior and viewpoints as a result.
Being interested in helping people think and experiment.
Being resilient and philosophical about what happens to people who push
change.
Being uncompromising—while wide open to diversity, multiple sources and a
range of views, once they incorporate these into their thinking, they are
described as stalwart in pushing their notions. They rely on logic,
perseverance, well-thought-through ideas, and cool communications to sell
their points.
Going a bit beyond the data, we present two hunches about the learning agile.
SOME HUNCHES
Learning as the Goal. People high in learning agility seem to be driven to learn
as a value in itself. They are interested in people, ideas, and so forth in order to
learn. For example, they may not build a team because this is a “good” thing to
do. If they build a team, it is because they think a team is absolutely necessary to
carry out an experiment or push a change through. In other circumstances, they
might be indifferent or even scoff at the value of teams. If they help others solve
problems, it is probably as much for the mental discipline of learning about
problem solving as it is in helping others. If they believe in diversity, it’s because
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© Copyright 2002 Michael M. Lombardo & Robert W. Eichinger, All Rights Reserved.
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they know they can learn more from difference than sameness. Their
characteristic behaviors, we hypothesize, are largely instrumental to their
continued growth.
Staying Out of Trouble With Balance. Tinkerers can get into a lot of trouble in
organizations, which necessarily run largely off systems designed to ensure
sameness and handle exceptions. Since high learners can be like fingernails on a
blackboard at times, our second hunch is that they stay out of trouble through
self-knowledgeii. They know who they are and are especially likely to know their
limits and learn from their mistakes—they apparently don’t suffer from an excess
of hubris. This may help them get away with being different—pushing change,
enduring the heat, and being somewhat uncompromising, but balancing this with
no glaring weaknesses and showing their concern for others through helpfulness
and listening.
2.
1.
2.
3.
4.
5.
6.
We are currently aware of six uses of the questionnaire within organizations:
IMPLICATIONS
FOR HUMAN
RESOURCES
To Improve the Pool of High Potentials
To help nominate high potentials. Some companies use the profile from the
questionnaire along with performance track record and the usual subjective
judgment of potential. All tracks need to be seen as positive for a person to
qualify as a high potential. Some use it as a training tool to educate managers
about the difference between performance and potential to help them nominate
better candidates.
As an expansive talent search process, hunting out people who have the capacity
to learn new skills and deal with change but who may presently only be lightly
challenged or not in visible roles. In this application, large numbers of people are
assessed to see if there are any high scorers among people not well known to top
management. This broad screening technique might catch more females and
ethnic minorities than the typical succession planning process. It also allows an
earlier start to assignment management and experience building.
To cross-check existing high potential lists. As one source of data, along with
performance and other considerations, some companies have looked at one’s
scores on the questionnaire to add or subtract people from the high potential list.
It is also being used for situations where there is a difference of opinion. In that
case, both advocates rate the person on the instrument to see if they can account
for the difference.
To Develop the Best
As a tie breaker in selection for challenging assignments. Given several qualified
candidates, the questionnaire has been used to inform the question of who could
do the job and learn most from the assignment.
For development. A common use has been to write development plans against a
person’s pattern of learning agility scores—to help a person become more open
to other points of view, for example. The goal is to increase a person’s chances of
learning from experience and therefore help him/her increase potential.
For risky assignments. In line with the expatriate findings from Spreitzer et
al.(1997) cited above, the tool is used to make sure that the person assigned to a
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tough, new and risky assignment can rapidly learn from experience and be
successful.
To deal with change, organizations need to find and nurture those who are most
facile in dealing with it. Identifying those who can learn to do something differently
requires a different measurement strategy from those often employed, one that looks
at the characteristics of the learning agile. In this article, we have explained some
initial steps toward identifying the women and men with the most potential to lead,
regardless of what the future may hold for them.
CONCLUSION
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NOTES
i Due to space limitations, the steps followed in the research will not be presented here. Interested readers should contact Michael Lombardo mlombardo@mindspring.com for a technical summary.
ii In an intervention conducted while one of the authors was at the Center for Creative Leadership, the highest learners had no overdone strengths or notable flaws reported. They were characterized
by being highly self-critical, eager to improve, and self-aware enough not to run into problems with others.
EXECUTIVE ASSESSMENT AND DEVELOPMEN T
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... The main literature on learning agility relies on the perspective of Lombardo and Eichinger (2000), who suggested that most employees, who are thought to have high potential and performance, are individuals with high learning agility. Gravett and Caldwell (2016) defined learning agility as an individual's ability and passion to quickly examine a new problem and use their own learning experiences in the decision-making process. ...
... According to Lombardo and Eichinger (2000), learning agility is the willingness and ability to learn new competencies under challenging conditions. In this context, learning agility has been examined with various dimensions such as human agility, results agility, mental agility and change agility. ...
... In this context, learning agility has been examined with various dimensions such as human agility, results agility, mental agility and change agility. Human Agility: This dimension defines people who know themselves well, learn from their experiences, establish constructive relationships with others, are willing to work and relate to others, and have a calm and flexible perspective in the face of new situations (Lombardo & Eichinger, 2000). Result Agility: Individuals with high result agility defines people who can achieve results under complex challenging conditions, perform better than anyone else, and influence the performance of others. ...
... While these approaches contribute to the dynamics of knowledge sharing in the supply environment, there is scope to do more empirical research on how employees' learning agility (ELA) can contribute to knowledge sharing behaviour (KSB) in the supply chain. In this context, learning agility refers to an employee's ability to learn new things quickly and adapt to change (De Meuse et al., 2011;Lombardo & Eichinger, 2000). The effectiveness of an organisation to respond rapidly to changing market conditions will predominantly depend on the capabilities of its employees. ...
... As such, this study reveals ELA as a driver for KSB in the supply chain. ELA has been hypothesised as the willingness and ability to learn from the past and acquire new ideas to achieve new results under difficult circumstances (De Meuse et al., 2011;Lombardo & Eichinger, 2000). Miles (2013) found that employees with high learning agility are more likely to adapt to market changes through their past experiences, improve their ability and skills to understand new things, and orchestrate the operations within the supply chain. ...
... Shih et al. (2011) also noted that employees with strong learning agility are more engaged in their jobs, have lower turnover intentions and are better able to adapt to changes through creative thinking (Dries & Pepermans, 2012;Tripathi & Dhir, 2022). Similarly, another group of scholars demonstrated that employees' willingness to learn from experience and the diffusion of knowledge is significantly linked to greater understanding and agreement, contributing towards the establishment of resilient supply chain management (De Meuse, 2017;Eisenberger et al., 2001;Lombardo & Eichinger, 2000;Nonaka & Takeuchi, 1995). This study employs the COR theory (Hobfoll, 1989) to examine the relationship between ELA and KSB. ...
Chapter
Based on the conservation of resource (COR) theory, this study explores employees' learning agility (ELA) as an antecedent of knowledge sharing behaviour, specifically in the supply chain environment. However, such discretionary behaviour can be negatively affected by the prevalence of psychological contract breaches. According to COR theory, employees' resources (knowledge, ability and skills) act as motivational factors that employees strive to protect, retain and at the same time invest in favour of obtaining more resources. On the other hand, when resource loss weighs more than resource gain, an individual agitated with resource depletion will minimise resource loss by decreasing their effort for future displays of resources. A random sample of 418 participants from the public sector in the Fiji Islands yielded a sample of 418 participants. The proposed model was analysed through structural equation modeling (SEM) to determine its fit. The analysis supports the proposed theoretical framework, providing a new dimension for ELA as an unexplored phenomenon for knowledge sharing behaviour (KSB) in the supply chain. The 93 study specifically draws the attention of policymakers on industry, innovation and infrastructure (SDG09), where immediate actions are needed to create resilient supply chain management through ELA. Research shows that agile employees can easily adapt to unexpected changes, actively participate in discussions and quickly contribute to innovative and creative solutions. KSB can be further developed through a culture of learning and sharing, rewards for KSB, psychological support and upholding its promised obligations through regular communication, establishing a more resilient supply chain management.
... However, the absence of consensus and clear definitions of LA has impeded construct clarity, hindering the development of valid and comparable measurements (Rotolo et al., 2018). As a result, amidst the extensive implementation of LA in TM systems, there has been a proliferation of proprietary and copyright-protected diagnostic tools with limited accessibility (i.e., Choices Architect ® , Lombardo & Eichinger, 2000;viaEDGE™, De Meuse et al., 2011;Talent X7, De Meuse & Feng, 2015), which has posed challenges in terms of construct clarity and the availability of valid measures. Concerns have been raised regarding the psychometric properties, conceptual overlap, and content validity of some previous scales (e.g., multirater survey Choices Architect; DeRue et al., 2012a), underscoring the necessity for a more comprehensive and accessible tool (for a full review see Boyce & Boyce, 2022). ...
... Adopting a holistic approach to scale development, this study incorporates these potential antecedents of LA to guide individuals in identifying which skills they need to develop further (Braun et al., 2017). Building upon the seminal conceptualization of LA by Lombardo and Eichinger (2000), three additional constructs were integrated into the initial theoretical framework for the exploratory phase of this study: self-awareness, critical for internalization and reflection on the learning experience (De Meuse, 2017); resilience at work, essential for recovering from adversity, managing uncertainty, and learning from mistakes over the learning process (DeRue et al., 2012a); and goal orientation, pivotal for elucidating individual disposition toward developing one's ability in achievement settings (DeRue et al., 2012a;Vandewalle, 2012). Consistent with recent research (Dries et al., 2012;Tripathi et al., 2020), LA is conceived as a developable ability through experiences and interventions. ...
... The theoretical foundations of LA can be traced back to the experiential learning theory, which portrays learning as a cyclic process of person-environment interaction involving experience, reflection, and action crucial for adaptation (Kolb & Kolb, 2009). Following evidence of the positive link between the ability to learn from experiences and career success in top executives, Lombardo and Eichinger (2000) coined the concept of LA as "the willingness and ability to learn new competencies in order to perform under first-time, tough, or different conditions" (p. 323). ...
Article
The unprecedented complexity of today's business and working environment increases the need for leaders and employees to learn new skills, be adaptable, and open to embracing change. New abilities and mindsets emerge, and their evaluation is challenging. This research utilized an exploratory sequential mixed methods design to develop and provide a preliminary validation of a scale measuring individual differences in learning agility (LA) at work. The measure has been tested in Central-Eastern European countries, Italy, and Egypt. Results showed satisfactory reliability and nomological validity. The final scale of 11 items provides HRD researchers and practitioners with a reliable and concise tool suitable for investigating individual differences in LA across different job roles and positions. The scale has been tested in a cross-cultural setting and is available in English, making it especially appropriate for multinational contexts. K E Y W O R D S change, learning agility, mixed-methods, scale development and validation
... However, the absence of consensus and clear definitions of LA has impeded construct clarity, hindering the development of valid and comparable measurements (Rotolo et al., 2018). As a result, amidst the extensive implementation of LA in TM systems, there has been a proliferation of proprietary and copyright-protected diagnostic tools with limited accessibility (i.e., Choices Architect ® , Lombardo & Eichinger, 2000;viaEDGE™, De Meuse et al., 2011;Talent X7, De Meuse & Feng, 2015), which has posed challenges in terms of construct clarity and the availability of valid measures. Concerns have been raised regarding the psychometric properties, conceptual overlap, and content validity of some previous scales (e.g., multirater survey Choices Architect; DeRue et al., 2012a), underscoring the necessity for a more comprehensive and accessible tool (for a full review see Boyce & Boyce, 2022). ...
... Adopting a holistic approach to scale development, this study incorporates these potential antecedents of LA to guide individuals in identifying which skills they need to develop further (Braun et al., 2017). Building upon the seminal conceptualization of LA by Lombardo and Eichinger (2000), three additional constructs were integrated into the initial theoretical framework for the exploratory phase of this study: self-awareness, critical for internalization and reflection on the learning experience (De Meuse, 2017); resilience at work, essential for recovering from adversity, managing uncertainty, and learning from mistakes over the learning process (DeRue et al., 2012a); and goal orientation, pivotal for elucidating individual disposition toward developing one's ability in achievement settings (DeRue et al., 2012a;Vandewalle, 2012). Consistent with recent research (Dries et al., 2012;Tripathi et al., 2020), LA is conceived as a developable ability through experiences and interventions. ...
... The theoretical foundations of LA can be traced back to the experiential learning theory, which portrays learning as a cyclic process of person-environment interaction involving experience, reflection, and action crucial for adaptation (Kolb & Kolb, 2009). Following evidence of the positive link between the ability to learn from experiences and career success in top executives, Lombardo and Eichinger (2000) coined the concept of LA as "the willingness and ability to learn new competencies in order to perform under first-time, tough, or different conditions" (p. 323). ...
Article
Full-text available
The unprecedented complexity of today's business and working environment increases the need for leaders and employees to learn new skills, be adaptable, and open to embracing change. New abilities and mindsets emerge, and their evaluation is challenging. This research utilized an exploratory sequential mixed methods design to develop and provide a preliminary validation of a scale measuring individual differences in learning agility (LA) at work. The measure has been tested in Central‐Eastern European countries, Italy, and Egypt. Results showed satisfactory reliability and nomological validity. The final scale of 11 items provides HRD researchers and practitioners with a reliable and concise tool suitable for investigating individual differences in LA across different job roles and positions. The scale has been tested in a cross‐cultural setting and is available in English, making it especially appropriate for multinational contexts.
... Learning agility is the ability to adapt quickly to new, difficult and different conditions. These abilities result from competencies obtained through experiential learning (Eichinger, 2000). Understanding this, naturally learning agility is a demanding ability for the current generation to be able to survive and compete in the modern world. ...
... The main characteristics of learning agility are the willingness and motivation to always learn (Eichinger, 2000). To create this will and motivation, as Peacock (2020) said, a sense of belonging needs to be created and this can be done through direct involvement. ...
Article
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The aim of this research is to understand and discover the unique educational outcomes observed at SMP Sekolah Alam Insan Mulia (SAIM) due to the implementation of the integrative IRE model and learning agility. This research used qualitative methods and an interpretive research paradigm. This research approach used phenomenology, while the type of research was descriptive. Data collection through interviews, observations and documentation. Data analysis through data collection, data condensation, data presentation, and conclusions. This study found that SMP SAIM integrated Islamic Religious Education (PAI) into all learning to instill the foundation of Islamic values in every student's understanding and skills. The integration uses six models classified into two parts, namely the first, the shared model, the nested model, the sequenced model applied to regular learning in class. Second, the connected model, the webbed model, and the integrated model applied to large thematic projects. Furthermore, SMP SAIM carried out learning agility which was realized through project-based learning and student life skills, so that they are skilled in facing various challenges. The integrative PAI model and learning agility learning are very relevant from the flexible, active, creative, collaborative, and reflective aspects.
... Flexpertise refers to the ability by which workers fulfill new expertise needs (within and across the boundaries of their expertise domains and working contexts) or develop or create new expertise in line with their own needs and capabilities (Frie et al., 2024;Van der Heijden, 2000). Other scholars introduced related concepts to address aspects of this ability, such as adaptive expertise (Hatano & Inagaki, 1986), expertise redevelopment (Grenier & Kehrhahn, 2008), expertise renewal (Frie et al., 2019), flexible expertise (Birney et al., 2012) and learning agility (Lombardo & Eichinger, 2000). In line with domain-generic theories of expertise (Bereiter & Scardamalia, 1993;Chi et al., 1988;Van der Heijden, 2000), research in this field studied adaptive qualities and responses that individuals can apply across working contexts and expertise domains. ...
... Learning agility is the willingness and ability to learn from experiences and then apply this learning to perform successfully under new conditions (Lombardo & Eichinger, 2000). It has gained significant attention in leadership development, especially as a predictor of leadership success in today's dynamic environments (De Meuse, 2019). ...
... Çetinkaya et al. (2019) emphasizes that enhancing performance at the individual and group levels is a focal point in efforts to bolster organizational effectiveness. Agile people are high-potential people who can demonstrate the required skills or pick up new ones when faced with difficult circumstances for the first time, according to Lombardo and Eichinger (2000). Put differently, those who possess the ability to make decisions and respond appropriately in ambiguous circumstances are considered agile (Erdemli, 2022). ...
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Research on the concept of learning agility and job satisfaction is crucial to be conducted because it assists in improving training programs, developing leadership practices, and driving organizational success. Learning agility is the willingness to learn and apply that learning to new situations. Employee satisfaction improves performance and adds to the organization's success as a whole. The objective of the study was to explore the effect of teachers learning agility on teacher's job satisfaction. The study was quantitative in nature, and a survey method was used to collect the data. The population for this study consisted of all teachers (83) of the faculty of humanities and social sciences. A census sampling technique was used to collect information from every individual within the population. A self-developed questionnaire was used for data collection. The data was analyzed through SPSS. Descriptive (mean, percentage, and standard deviation) was used to analyze the data. There was a significant positive relationship between teachers' learning agility and job satisfaction. As a result, it is recommended that the administration of the university should recognize the professors who are more dedicated to their institution. The best teacher award is one example of a monetary or nonmonetary type of such compensation. Because it will inspire instructors to be more motivated, devoted, and organized.
... Lebih jauh saat memetakan karyawan melalui mekanisme TRSP, PT XYZ mengidentifikasi potensi karyawan dengan melihat learning agility karyawan, sedangkan kinerja atau performance diidentifikasi dengan contextual performance dan task performance. Learning agility dapat didefinisikan sebagai keinginan dan kemampuan untuk belajar dari pengalaman, dan menerapkan pembelajaran tersebut untuk keberhasilan kinerja dibawah situasi pertama kali atau baru (Lombardo & Eichinger, 2000). Borman dan Motowidlo (1997) menjelaskan task performance, sebagai kinerja berdasarkan tugas dan tanggungjawab yang ditugaskan ke karyawan tesebut. ...
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Persaingan bisnis yang semakin ketat menuntut perusahaan untuk terus berinovasi dan meningkatkan kinerjanya. Salah satu kunci utama untuk mencapai hal tersebut adalah dengan memiliki karyawan yang memiliki kinerja tinggi. Kinerja karyawan dapat diukur dari dua aspek, yaitu task performance dan contextual performance. Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh continuous learning, dalam hal ini on the job training, terhadap employee’s task dan contextual performance. Penelitian ini merupakan penelitian kuantitatif. Penelitian akan menganalisis data primer yang diperoleh dari hasil survei menggunakan kuesioner kepada responden. Data yang telah terkumpul akan dianalisis secara deskriptif melalui uji regresi menggunakan bantuan program SPSS. Hasil penelitian menunjukan bahwa Terdapat hubungan antara Continuous Learning Terhadap Task Performance dan Contextual Performance. Continuous learning dapat meningkatkan employee’s task & contextual performance pada long list talent PT XYZ. Oleh karena itu, perusahaan perlu mendorong karyawannya untuk mengikuti continuous learning.
Conference Paper
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Bu araştırmada, öğretmen adaylarının üstbilişsel farkındalık düzeyleri ile öğrenme çeviklikleri arasındaki ilişkide akademik öz yeterlik inançlarının aracı rolü incelenmektedir. İlgili çalışma, ilişkisel tarama modeline göre yürütülmüş ve araştırmada 351 öğretmen adayına ulaşılmıştır. Veri toplama aşamasında “Üstbilişsel Farkındalık”, “Akademik Öz Yeterlik İnancı” ve “Öğrenme Çevikliği” olmak üzere üç ölçekten yararlanılmıştır. Elde edilen verilerin analizinde SPSS programı kullanılmıştır. Öncelikle verilerin normal dağılım gösterdiği belirlenmiş ve değişkenler arasındaki ilişkileri saptamak amacıyla Pearson Korelasyon analizi yapılmıştır. Bu doğrultuda elde edilen veriler, akademik öz yeterlik inancı ile üstbilişsel farkındalık ve öğrenme çevikliği arasında düşük düzeyde pozitif yönde bir ilişki olduğunu ortaya koymuştur. Ayrıca üstbilişsel farkındalık ile öğrenme çevikliği arasında pozitif yönlü orta düzeyde bir ilişki olduğu görülmüştür. Değişkenler arasındaki ilişkilerin belirlenmesinin ardından SPSS Process eklentisi kullanılarak bootstrapping analizi gerçekleştirilmiştir. Yapılan analiz sonucunda üstbilişsel farkındalık ile öğrenme çevikliği arasındaki tahmin edilen etki değerinin .53 olduğu tespit edilmiştir. Akademik öz yeterlik inancının modele girmesiyle tahmin edilen etki değerinin .03’e düştüğü ve dolayısıyla etki değerinde keskin bir düşüş olduğu saptanmıştır. Böylece öğretmen adaylarının akademik öz yeterlik inançlarının, üstbilişsel farkındalıkları ile öğrenme çeviklikleri arasındaki ilişkide aracı rolünün olduğu sonucuna ulaşılmıştır. Bu araştırmanın örneklemi, Atatürk Üniversitesi’nde öğrenim gören 351 öğretmen adayıyla sınırlıdır. Dolayısıyla daha büyük örneklemlere ulaşılarak öğretmen adaylarının üstbilişsel farkındalıkları, akademik öz yeterlik inançları ve öğrenme çeviklikleri arasındaki ilişkileri inceleyen boylamsal çalışmalar yapılabilir. Bu tür araştırmalardan elde edilen sonuçlar, zaman içindeki değişimleri anlamaya yardımcı olabilir. Bunun yanı sıra öğretmen ve öğretmen adaylarından aynı modele ilişkin veri alınıp elde edilen modeller sonucunda ulaşılan veriler karşılaştırılarak bahsi geçen konu hakkında daha kapsamlı sonuçlara varılabilir.
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Part 1 When talent isn't enough/of astronauts and executives: the derailment conspiracy. Part 2 Developing executive talent/experience as teacher: linking business strategy and executive development assessing potential - is talent what is, or what could be? Who gets what job - the heart of development catalyst for development. Part 3 Taking action/making executive development a strategic advantage taking charge of your own development.
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