author 1 : ujjal mukherjee designation : associate
TRANSCRIPT
Author 1 : Ujjal Mukherjee
Designation : Associate Professor, OB and HR area
University : CMS B School, Jain University, Bengaluru
Email: [email protected]
Author 2 : Dilip Kaushik
Designation : Ph.D Scholar, Management
University : Jain University, Bengaluru
Email: [email protected]
INFLUENCE OF HIGH PERFORMANCE WORK SYSTEM AND
PERSONALITY ON CREATIVITY AMONG INFORMATION
TECHNOLOGY SECTOR
Abstract
The aim of this research is to study the influence of High-performance work system and
personality on creativity among Information Technology (IT) sector. Confirmatory factor
analysis (CFA) and structural equation modelling (SEM) was applied in the data collected from
273 employees working in IT sector companies in India. Validated questionnaires were used
to collect the data. Personality is found to moderate the relationship between high performance
work system and creativity among employees. The practitioners working in HPWS
environment can use this study to identify the personality kind of employees whose creativity
may be developed. This study will also add value to personality, HPWS and creativity
literature.
Introduction
The information technology (IT) industry in India continues to be one of the prime components
of GDP which contributes about 7.5% to India in 2018 This has attracted the worldwide
attention in driving economic growth. According to NASSCOM and EY study (Future of jobs
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in India, 2018), India continues to be the world's prime sourcing destination for IT-BPM
services with 55% market share and IT-BPM sector will undergo a transformative change in
the next few years. Industry 4.0 has impacted the rapid changes in the way that the IT sector
operates by adopting new ways of work, business models with emerging technologies to cater
to the expectation of customers (“Deloitte Review: Industry 4.0 : Are you ready?,” 2018). The
practitioners in the service sector are creating value for customers in day to day transactions
and operations. The activities involved in developing new Information technology products
and services make the employees active, experimental and exhibit creativity their work.
Creating skill capabilities for the future has become a fast and minimum expectation for the
organizations. Based on the report from World Economic Forum (The Future of Jobs Report
2018 Insight Report Centre for the New Economy and Society, 2018), Along with the core
technical skills required for Industry 4.0, Creativity is ranked at third place among the core
human skills and will continued to be sustain for few more years. Recent research from
LinkedIn (Petrone, 2019) found that creativity is the single most skill required for business
professionals. The investment in fostering creativity among employees can foster innovation,
have more satisfied customers, be competitive, provide better customer experience and
financially successful (“ADOBE State Creat. 2016,” 2016)
A combination of human resource, structure and work process of an organization gains the
competitive advantage. Human resource strategy plays a crucial role in fostering culture and
yields the best performance from the employees (Wright, 2013). To be successful and effective,
many organizations develop their best human resource practices to align the employees to the
organization and build competitive capabilities (“HR preparedness for 2020 — People
Matters,” 2016). It is an opportunity for HR as a strategic partner to the business to drive the
performance by considering creativity as one of the prioritized skills to be fostered among
employees.
Literature Review
Creativity is about generating ideas which are novel, useful and accepted(Amabile, 1983).
Creativity is a subjective judgment of an individual which is a domain-specific outcome of a
particular action results in the novelty and value of an outcome(Ford,1996). The componential
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theory of creativity established the relationship between skills, talent and motivation which
influences the creative behavior of an individual(Amabile, 1983).
According to the componential theory of creativity(Amabile, 1983), the influencers on
creativity depends on three components (domain-relevant skills, creativity related skills, and
task motivation). The theory emphasis on the impact of these components on the creative
process which supports creativity. For an individual, domain-relevant skills component
consists of basic talent in that domain, which is developed and fostered through the
combination of various HR practices. Creativity related skills depend on individual
characteristics. Task motivation is the attitude and perception of own motivation towards the
work through intrinsic and extrinsic factors. The componential theory of creativity outlined the
importance of talents, education, cognitive skills and individual characteristics in influencing
creative behaviour.
Creative Performance behavior is a behavior exhibited by an individual with a set of
interdependent observable and unobservable activities that occur during a non-algorithmic
task(Gupta & Singh, 2014). It is a precursor of creativity, creativity implementation and
innovation which is exhibited by the employees while generating new ideas and solving
problems. Individuals undergo a creative process engagement while generative new ideas such
as problem identification, information search, idea generation and idea promotion
High-performance work systems and Creativity
In the past, an extensive body of research provided a linkage between Human Resource
Management and Performance(Bowen, 2004; Boxall, 2003; Guest, 1987; Huselid, 1995;
Huselid & Becker, 1995). Aligning to this, considerable literature on Systems Thinking
approach in the area of human resource management which influences on performance,
behavior, and productivity, conceptualized as High-Performance Work Systems(HPWS)
(Boxall, 2012; Combs et al., 2006; Huselid & Becker, 1995; Macduffie, 1995; Shih et al., 2006;
Takeuchi et al., 2007). It has been comprehensively examined and studied on both employee
and organizational outcomes. HR strategies need to focus on building skills, motivation and
positive behavior for a successful business outcome (Wright, 2013)
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In the literature, HPWS is defined “as an integrated system of HR practices that are internally
consistent(alignment among HR practices) and externally consistent (alignment with
organizational strategy)” (Evans and Davis, 2005). It is “a group of separate but interconnected
human resource practices designed to enhance employees’ skills and effort” (Takeuchi et al.,
2007). It is a range of innovative human resource management (HRM) practices is used in
certain combinations or bundles which attain synergistic benefits through an interactive and
mutually reinforcing impact (Huselid & Becker, 1995). High performance work systems are
characterized by three components (1) a work organization that provides employees with the
opportunity for direct participation in operational decisions, and human resource practices that
(2) increase workforce skills and (3) create incentives for workers to participate
effectively.(Appelbaum et al., 2001). As there is no specific list of dimensions for a HPWS,
various researchers have selected the dimensions based on the work and kind of the Business
that the organization does. Dimensions of HPWS were identified as selective hiring(Huselid &
Becker, 1995; Pfeffer, 1998; Zacharatos et al., 2005), compensation level and incentive(Pfeffer,
1994), effective and personalized learning and development(Appelbaum et al., 2001; Den
Hartog & Verburg, 2004; Huselid, 1995), performance management, work design, policies &
practices(Huselid & Becker, 1995), information sharing(Pfeffer, 1998; Tomer, 2001),
employment security(Pfeffer, 1998), self-managed and effective teams(Reynolds & Lewis,
2018; Pfeffer, 1998), participation and diversity & inclusion(Pfeffer, 1998).
A landmark study on human resource practices (Huselid, 1995)has given a framework which
integrates the human resource practices as bundles with the organization strategy to form a
High-Performance Work Systems(HPWS). HPWS is a system with a set of HR practices
connected to each other and with the Organizational strategy with a consistent alignment. The
synergistic effect created by this configuration enhances the efficiency of the workforce and
work practices in terms of skills, commitment and productivity to achieve a greater result than
it is expected and becomes a sustainable competitive advantage for an Organization.
Creativity at the workplace relies on the knowledge base and knowledge process of an
individual(Amabile, 1988). Organizations strive to achieve their competitive advantage
through creativity in the dynamic market. High-performance work practices enhance the
positive relationship between the employee and organization, thereby enhances creativity
among employees(Gupta, 2016). A carefully designed High-Performance work System can
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foster the employee creativity which can impact on the Organizational Performance.
Performance-oriented HR practices help the employees in enhancing their skills and improve
their future prospects. To achieve innovation and foster creativity among employees, it is
important to exhibit creative behavior in their work.
Although there are many studies, the research relating to HPWS and employee creativity
remains limited. Still, there are considerable amount of studies required to address the influence
of HPWS on proactive behavior(Beltrán-Martín et al., 2017), employee creativity(Tang et al.,
2017) and understanding of HPWS and innovation relationship(Fu et al., 2015). Gupta (2016)
claimed that the previous studies failed to provide the coherence between HRM practices and
creativity. In previous studies, the relationship between HPWS and creativity is limited to
individual creativity(Tang et al., 2017) and creativity implementation(Agarwal & Farndale,
2017). The literature on creative performance behavior of employees is less consistent and
rarely analyzed in the literature. A more systematic and theoretical analysis is required to
answer the influence of HPWS on creative behavior among employees while considering the
mediator effects to individual psychology.
The creativity of an individual is the building block for the organization innovation(Amabile,
1983). The role of creative behavior accelerates creativity and innovation and allows an
individual to explore ways to generate novel and meaningful ideas(Larach & Cabra, 2011). As
innovation and creativity have become the key difficulties of the organization in achieving
competitive advantage. HR plays a vital role in engineering all its activities on fostering the
creativity among the employees(Hilton, 2016). Stimulating creativity in employees helps in
thinking out of the box, generate new ideas and improves the problem solving which helps in
the productivity of the organization(Sokolova, 2015)
The element of creative performance includes domain relevant skills, creativity relevant skills
and task motivation(Amabile, 1983). Domain skills consist of knowledge about the domain,
the Technical skills and relevant special skills. These skills can be acquired the effective
training and development programs. Creativity-relevant skills include cognitive style, working
style and implicit or explicit knowledge of heuristics for generating novel ideas which depend
on training, participation in idea generation and discussions and personality characteristics.
Task motivation includes attitude towards the work and perception of self-motivation for
undertaking the task. The internal motivation is generated by the task and extrinsic motivation
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is generated by the extrinsic factors like rewards, recognition and job promotions(Amabile,
1988). Thus, it is hypothesized as
H1 - There is an influence of high-performance work systems on creative performance
behavior among employees.
Moderating role of Personality
Further capitalizing to the componential theory, the theory of organizational
creativity(Woodman & Schoenfeldt, 1990) outlines that personality is one of the individual
characteristics which is necessary to foster creativity among individuals. Behavior is often
discussed at the individual level. Individuals personal resources are linked to their sense of
ability to control successfully and impact upon their environment(Hobfoll et al., 2003).
Individuals with higher personal resources are more positive on their self-regard and more goal
congruent(Judge et al., 2002). Thus, individuals with more goal congruent are intrinsically
motivated to pursue their goal and results in higher performance(Youssef & Luthans, 2007).
Personality traits signify how people tend to behave in various situations and indicate the basic
dimensions on which people differ(Matthews et al., 2003). The Big five personality traits
describe five of the most critical distinctions between people. According to Big five trait theory,
openness to experience, extraversion, conscientiousness, agreeableness and neuroticism are the
broad traits where every individual fall somewhere in each of the traits with low, medium or
high on any specific trait
Openness to experience personality trait differentiates a person based on individual
characteristics like curious, broad-minded, cultured, intellectual, etc.,(Mccrae & John, 1992).
It is about individual characteristics which a person is open to experiencing a variety of
activities(Barrick & Mount, 1991). This personality trait has been most empirically
investigated with creativity in the past and found to be a positive predictor of creativity.
(George & Zhou, 2001; McCrae & Costa, 1997)
Agreeableness personality trait differentiates a person based on individual characteristics like
generous, appreciative, kind, trusting, forgiving, tolerant, etc., (Mccrae & John, 1992). It is
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about individual characteristics which a person's tendency to be kind and accommodating
toward others(Barrick & Mount, 1991).
Extraversion personality trait differentiates a person based on individual characteristics like
energetic, enthusiastic, active, assertive, outgoing, talkative, etc., (Mccrae & John, 1992). It is
about individual characteristics which person's tendency to seek stimulation in the group of
others(Barrick & Mount, 1991). An individual's proactive behavior may results in creativity by
engaging themselves in an activity for attempting out various ideas.
Neuroticism personality trait differentiates a person based on individual characteristics like
anxious, self-pitying, tense, touchy, unstable, worrying, etc.,(Mccrae & John, 1992). It is about
individual characteristics which a person's emotions are sensitive to the individual's
environment(Barrick & Mount, 1991) . Creativity requires the ability to mitigate the risk and
may sensitive to attempt a new way of thinking that generates an idea.
Conscientiousness is one of the five big personality traits which differentiates a person based
on the individual characteristics i.e organized, orderliness, cautiousness, etc., (Mccrae & John,
1992). It is about individual characteristics how a person controls, regulates and direct their
impulse towards the goal achievement(Barrick & Mount, 1991). Conscientious people are
generally goal-oriented, spend time in preparations and act in a thoughtful way(Goldberg,
1992). Conscientious individuals are self-disciplined, naturally hard-working, careful, well
organized and dedicated to their goal achievement(Goldberg, 1990; Roberts et al., 2005).
H2 – Personality moderates the relationship between High-performance work system and
creative performance behavior among employees.
Conceptual model
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Research Question 1. What is the influence of High-performance work systems on Creative performance
behavior of employees?
2. What is the influence of Personality on Creative performance behavior of employees?
Research Objectives 1. To examine the relationship between HPWS and Creative performance behavior of
employees
2. To investigate the moderating role of Personality between HPWS and Creative
performance behavior of employees
Research Methodology
Sample and data collection
We collected the data from 273 employees of Information Technology (IT) sector companies
located in southern part of India. These organizations are involved in development of their HR
practices as a high-performance work system to improving their work procedure, productivity
and innovative culture. Employees in these organizations are activities involved in developing
new Information technology products and services and creating value for customers in day to
day transactions and operations.
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Data was collected over eight weeks with two phases. During phase 1, we collected data on
HPWS and Personality and data pertaining to CPB was collected during phase 2. The
respondents were coded to identify for the consecutive data collection, which the researcher
and the respondent were only aware of coding.
Measures
High-performance work systems: To measure HPWS, we adopted 18 items scale(Jiang, 2013)
developed in the Indian context and used to capture employee perceptions on standard HR
practices like selective hiring, effective training, performance based compensation, flexible
work design etc., using 5 point Likert scale ranging from 1 (strongly disagree) to 5 (strongly
agree).
Personality: To measure personality, 10 items scale of The Ten-Item Personality Inventory
(TIPI) on Big Five (or Five-Factor Model) dimensions is used to assess individual characteristic
towards the dimensions: Openness to experience, Conscientiousness, Extraversion,
Agreeableness and Neuroticism based on the 5 point Likert scale.
Creative performance behaviour: To measure Creative performance behaviour 14 items
validated scale in the India context(Gupta & Singh, 2014) which is derived from combination
of scales(Ramamoorthy et al., 2005; Zhang & Bartol, 2010) is used. The scale has four
dimensions: problem identification, information search, idea generation and idea promotion, to
capture the employee’s behaviour on their creative process engagement.
Control variables:
Employee’s demographic variables such as gender, qualification and organizational tenure are
considered as control variables in this study.
Statistical analysis for scales
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Regarding the reliability and validity tests for scales, the composite reliability and the
Cronbach’s alpha of the scales were found to be above 0.7, which is acceptable(Bagozzi & Yi,
1988). Average variance extracted (AVE) is used for convergent validity and found to be
satisfactory for HPWS, CPB and PER. But the PER was found to be above 0.5. In previous
research, AVE has been considered as conservative and CR can be considered as a reflector in
these cases (Malhotra and Dash, 2011). Tests for Common Source Effects and Discriminant
Validity has been done and The three factor (HPWS, PER, CPB) model displayed a good fit
among the variables ( RMSEA = .06; CFI = .90; IFI = .92; SRMR = .03; GFI = .93). The two-
factor model did not display a satisfactory fit (RMSEA = .30; CFI = .68; IFI = .83; SRMR =
.12; GFI = .77) and one factor model also showed a very poor fit with the data (RMSEA = .21;
CFI = .71; IFI = .77; SRMR = .31; GFI = .83).
Data Analysis and Results
The data obtained from participants were analyzed using the Statistical Package for the Social
Sciences (SPSS) 21.0. We used hierarchical moderated regression to predict creative
performance behavior from personality and HPWS, while simple slope analysis was used to
test the moderating influence of personality in the relationship between HPWS and CPB. For
the regression analysis, we entered the demographic variables (gender, job position, age, and
organizational tenure) in the first step of the equation in order to control for any probable
influence they may have had on the criterion variable (i.e., CPB), and then followed by HPWS,
HPWS and personality in the second and third steps of the equation, respectively. In the fourth
step, we entered the interaction terms between personality and HPWS. The hierarchical
regression analyses allowed us to determine the unique contributions of each of the predictors
and the interaction terms to CPB. Simple slope analysis enabled us to ascertain at what level
of personality, HPWS would influence CPB, more or less.
Descriptive statistics, correlations, and scale reliabilities are presented in Table 1. Results of
the hierarchical moderated regression are displayed in Table 2.
Table 1
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Variable Mean Std.Dev 1 2 3 4 5 6 7 8 1 Gender 1.25 0.25 2 Marital status 1.11 0.31 0.38** 3 Job Position 1.2 0.35 0.16* 0.02 4 Age 2.56 0.89 0.17* 0.31** 0.39** 5 Organizational tenure 2.35 1.78 0.01 0.31** 0.07** 0.55** 6 HPWS 3.51 0.49 0.012 0.09 0.02 0.01 -0.2 7 Personality 2.95 0.66 0.03 -0.03 0.1 0.03 0.04 0.39** 8 CPB 3.44 0.47 -0.1 0.05 0.07 0.05 -0.06 (-)0.31** 0.27**
Table 2
Variable Step 1- β Step 2- β Step 3- β Step 4- β
Controls
Gender -0.01 -0.06 -0.01 -0.03
Marital Status -0.03 -0.02 -0.03 -0.01
Job Position 0.05 0.01 0.05 -0.06
Age 0.01 0.05 0.01 -0.01
Organizational Tenure -0.18 -0.14 -0.18 -0.16
Main Effects
HPWS (-)0.31** (-)0.29** (-)0.23**
Personality 0.21** 0.29**
Interaction effects
HPWS x Personality (-)0.33***
Adjusted R Square 0.001 0.11 0.31
Δ R Square 0.021 0.12 0.22
Δ F 0.9 13.21 33.15 Note. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001
As shown in Table 1, the results indicate that none of the demographic variables of gender,
marital status, job position, age, and organizational tenure were significantly correlated with
CPB. Personality was significantly and positively correlated with HPWS. There was a
significant negative correlation between HPWS and CPB. H1 is accepted but with a negative
influence of HPWS on CPB. The interaction between HPWS and personality was significant
and positive and contributed an additional 22% variance in CPB. Hence, H2 is accepted.
Discussion
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This study aimed at gaining insight into the moderating role of personality in the HPWS-CPB
relation among IT professions in India. Our results indicate that personality was positively
related to CPB. These suggest that IT professionals who higher levels of personality are likely
to indulge in CPB . These findings are in congruence with other findings(Oldham &
Cummings, 1996). These findings could be explained on the grounds of individual
characteristics through Big five personality traits. Individuals with a mindset of imagination,
flexible, broad-minded and curious will attempt to experience an unfamiliar situation to
embrace novel ideas(Goldberg, 1990). Creative ideas are often valued as challenging.
Individuals with high agreeableness may have difficulty in generating and expressing ideas and
avoid being conflict and abrasive in the given situation. People who are enthusiastic with high
extraversion may lead them to connect with various people to confront their problems and come
up with ideas and share them for usefulness and acceptance as creativity. Individuals with high
neuroticism are temper, worry about things that might happen in a stressful situation and
individual with more emotional stability(i.e., low in neuroticism) willing to engage in activities
with relaxed, self-controlled and confident in a given situation. Conscientiousness people are
confident and have a sense of competence to accomplish their goals. On the other hand, people
with low conscientiousness are more disorganized and may act spontaneously without thinking
carefully.
Implications of the study
This study contributes to the creativity theories to fill the gap where a combination of HR
practices as a system(HPWS) influences the creative behavior of employees which was rarely
studied in the past. This study helps the organization to explore the fine-tuning combination of
HR practices as a system(HPWS) to influence the creative behavior among employees.
Organizations have to consider the personality (individual characteristics) to foster creativity
among employees along with HPWS. This strengthens the relationship between the HPWS
and CPB.
This study reveals that the organizations which focus a very structured a strong High-
performance work systems approach without flexibility may hamper the creativity among
employees. Our results showed that the positive relationship between CPB and HPWS was
moderated by personality. That is, IT professionals who are likely to indulge in CPB following
HPWS are those with high levels of agreeableness, openness to experience, Conscientious,
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extravert and lower in neuroticism. It is important to have employees with strong personality
traits to foster an innovative culture in the organization. Although there are different kinds of
tests are conducted during the selection process, personality tests are also essential where an
organization can align its employees to the HPWS to foster creativity. IT professionals with
strong personality traits, working in organizations having HPWS exhibits their creative
behavior in their day to day operations and experiment new things to satisfy the customers with
effective solutions.
Limitations and future research directions
Despite the implications and contribution as discussed above, it remains with a number of
limitations to our study. This study was conducted in the Indian context. First, it was conducted
in the Indian context and by considering the cultural context, it can be further studied in other
cultural contexts. Second, this study focused on the practitioners of the Information
Technology sector and we expect to examine and validate our findings in other sectors. Third,
there might be some alternate variables that can mediate the influence of HPWS on creativity.
Future studies can examine the HPWS and CPB relationship with any mediators. Finally,
Future research can also examine the moderating effect of supervisor's support in fostering
creativity along with HPWS.
Conclusion
The study was conducted to examine the influence of the High-performance work system and
personality on the creative performance behavior of employees in the Information technology
sector. we found the personality as a strong moderator to influence HPWS on the creative
behavior of employees positively. This study evidenced the IT organizations to consider the
personality traits of employees along with implementing HPWS to foster creative performance
behavior among employees. The practitioners working in the HPWS environment can use this
study to identify the personality kind of employees whose creativity may be developed.
References
ADOBE State of Create : 2016. (2016). ADOBE State of Create : 2016, 50. Retrieved from
ADALYA JOURNAL
Volome 8, Issue 11, November 2019 843
ISSN NO: 1301-2746
http://adalyajournal.com/
https://www.adobe.com/content/dam/acom/en/max/pdfs/AdobeStateofCreate_2016_Rep
ort_Final.pdf
Agarwal, P., & Farndale, E. (2017). High-performance work systems and creativity
implementation: the role of psychological capital and psychological safety. Human
Resource Management Journal, 27(3), 440–458. https://doi.org/10.1111/1748-
8583.12148
Amabile, T. M. (1983). The Social Psychology of Creativity : A Componential
Conceptualization. Journal of Personality and Social Psychology, 45(2), 357–376.
Amabile, T. M. (1988). A Model of Creativity and Innovation in Organizations. International
Journal of Transformations in Business Management. https://doi.org/Article
Appelbaum, E., Bailey, T., Berg, P., & Kalleberg, A. L. (2001). Do high performance work
systems pay off? The Transformation of Work, 85–107.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of
the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
Barrick, M. R., & Mount, M. K. (1991). The Big Five Personality Dimensions and job
Performance: A meta-Analysis. Personnel Psychology.
https://doi.org/10.3102/00346543067001043
Beltrán-Martín, I., Bou-Llusar, J. C., Roca-Puig, V., & Escrig-Tena, A. B. (2017). The
relationship between high performance work systems and employee proactive
behaviour: role breadth self-efficacy and flexible role orientation as mediating
mechanisms. Human Resource Management Journal, 27(3), 403–422.
https://doi.org/10.1111/1748-8583.12145
Boxall, P. (2012). High-performance work systems: What, why, how and for whom? Asia
Pacific Journal of Human Resources, 50(2), 169–186. https://doi.org/10.1111/j.1744-
7941.2011.00012.x
Combs, J. G., Liu, Y., Hall, A., & Ketchen, D. (2006). How much do high-performance work
practices matter? A meta-analysis of their effects on organizational performance.
Personnel Psychology, 59, 501–528. https://doi.org/10.1111/j.1744-6570.2006.00045.x
Den Hartog, D. N., & Verburg, R. M. (2004). High performance work systems,
organisational culture and firm effectiveness. Human Resource Management Journal,
ADALYA JOURNAL
Volome 8, Issue 11, November 2019 844
ISSN NO: 1301-2746
http://adalyajournal.com/
14(1), 55. https://doi.org/10.1111/j.1748-8583.2004.tb00112.x
Fu, N., Flood, P. C., Bosak, J., Morris, T., & O’Reagan, P. (2015). How do high performance
work systems influence organizational innovation in professional service firms. Journal
of Employee Relations, 37(2), 209–231.
Goldberg, L. R. (1990). An Alternative “Description of Personality”: The Big-Five Factor
Structure. Personality Processes and Individual Differences, 59(6), 1216–1229.
https://doi.org/10.1037/0022-3514.59.6.1216
Goldberg, L. R. (1992). The Development of Markers for the Big-Five Factor Structure.
Psychological Assessment, 4(1), 26–42. https://doi.org/10.1037/1040-3590.4.1.26
Gupta, V. (2016). HRM Practices and Employee Creativity : Conceptualizing the Mediating
and Moderating Role of Psychological ... Employee Creativity : Mediating &
Moderating Role of Psychological Capital. Indian Journal of Industrial Relations,
(January).
Gupta, V., & Singh, S. (2014). Psychological capital as a mediator of the relationship
between leadership and creative performance behaviors: Empirical evidence from the
Indian R&D sector. International Journal of Human Resource Management, 25(10),
1373–1394. https://doi.org/10.1080/09585192.2013.870311
Hilton, J. (2016). Why HR practices should be tailored towards creativity. Retrieved from
https://www.hcamag.com/hr-news/why-hr-practices-should-be-tailored-towards-
creativity-225080.aspx
Hobfoll, S. E., Johnson, R. J., Ennis, N., & Jackson, A. P. (2003). Resource Loss , Resource
Gain , and Emotional Outcomes Among Inner City Resource Loss , Resource Gain , and
Emotional Outcomes Among Inner City Women. Journal of Personality and Social
Psychology, 84(3), 632–643. https://doi.org/10.1037/0022-3514.84.3.632
HR preparedness for 2020 — People Matters. (2016). Retrieved January 16, 2019, from
https://www.peoplematters.in/article/leadership/hr-preparedness-for-2020-
14384?utm_source=peoplematters&utm_medium=interstitial&utm_campaign=learnings
-of-the-day
Huselid, M. A. (1995). The impact of human of Human Resource Management Practices on
Turnover, Productivity, and Corporate Financial Performance. Academy of Management
ADALYA JOURNAL
Volome 8, Issue 11, November 2019 845
ISSN NO: 1301-2746
http://adalyajournal.com/
Journal, 38(3), 635–672. https://doi.org/10.2307/256741
Huselid, M. A., & Becker, B. E. (1995). The strategic impact of human resources: Building
high performance work systems, (January), 29.
Jiang, K. (2013). Role in Shaping Employee Perceptions of High Performance.
Judge, T. A., Bono, J. E., Ilies, R., & Gerhardt, M. W. (2002). Personality and Leadership : A
Qualitative and Quantitative Review. Journal of Applied Psychology, 87(4), 765–780.
https://doi.org/10.1037//0021-9010.87.4.765
Larach, D. E. U., & Cabra, J. F. (2011). The Opportunities and Challenges of Technology
Driven Creative Collaborations. In Technology for Creativity and Innovation: Tools,
Techniques and Applications (pp. 325–342). IGI Global.
Macduffie, J. P. (1995). Human Resource Bundles and Manufacturing Performance:
Organizational Logic and Flexible Production Systems in the World Auto Industry.
Industrial and Labor Relations Review, 48(2), 197. https://doi.org/10.2307/2524483
Matthews, G., Deary, I. J., & Whiteman, M. C. (2003). Personality traits. Cambridge.
Mccrae, R. R., & John, O. P. (1992). An Introduction to the Five-Factor Model and Its
Applications. Journal of Personality, 60(2), 175–215. https://doi.org/10.1111/j.1467-
6494.1992.tb00970.x
Oldham, G. R., & Cummings, A. (1996). Employee Creativity : Personal and Contextual
Factors at Work EMPLOYEE CREATIVITY : PERSONAL AND CONTEXTUAL
FACTORS A T WORK. Academy of Management Journal, 39(3), 607–634.
Petrone, P. (2019). The Skills Companies Need Most in 2019 – And How to Learn Them.
Ramamoorthy, N., Flood, P. C., Slattery, T., & Sardessai, R. (2005). Determinants of
Innovative Work Behaviour: Development and Test of an Integrated Model. Creativity
and Innovation Management, 14(2), 142–150. https://doi.org/10.1111/j.1467-
8691.2005.00334.x
Roberts, B. W., Chernyshenko, O. S., Stark, S., & Goldberg, L. R. (2005). The structure of
conscientiousness: an empirical investigation based on seven major personality
questionnaires. Personnel Psychology, 58, 103–139. Retrieved from
http://www.skillview.info/uploads/1/5/9/9/15997296/struc_conscientiousness_roberts_et
ADALYA JOURNAL
Volome 8, Issue 11, November 2019 846
ISSN NO: 1301-2746
http://adalyajournal.com/
_al_05.pdf
Shih, H., Chiang, Y., & Hsu, C. (2006). Can high performance work systems really lead to
better performance? International Journal of Manpower, 27(8), 741–763.
https://doi.org/10.1108/01437720610713530
Sokolova, S. (2015). The Importance of Creativity and Innovation in Business. Retrieved
from https://www.linkedin.com/pulse/importance-creativity-innovation-business-siyana-
sokolova
Takeuchi, R., Lepak, D. P., Wang, H., & Takeuchi, K. (2007). An Empirical Examination of
the Mechanisms Mediating Between High-Performance Work Systems and the
Performance of Japanese Organizations. Journal of Applied Psychology, 92(4), 1069–
1083. https://doi.org/10.1037/0021-9010.92.4.1069
Tang, G., Yu, B., Cooke, F. L., & Chen, Y. (2017). High-performance work system and
employee creativity: The roles of perceived organisational support and devolved
management. Personnel Review, 46(7), 1318–1334. https://doi.org/10.1108/PR-09-
2016-0235
Woodman, R. W., & Schoenfeldt, L. F. (1990). An Interactionist Model of Creative
Behavior. The Journal of Creative Behavior, 24(4), 279–290.
https://doi.org/10.1002/j.2162-6057.1990.tb00525.x
Youssef, C. M., & Luthans, F. (2007). Positive organizational behavior in the workplace: The
impact of hope, optimism, and resilience. Journal of Management, 33(5), 774–800.
https://doi.org/10.1177/0149206307305562
Zacharatos, A., Barling, J., & Iverson, R. D. (2005). High-performance work systems and
occupational safety. Journal of Applied Psychology, 90(1), 77–93.
https://doi.org/10.1037/0021-9010.90.1.77
Zhang, X., & Bartol, K. M. (2010). Linking Empowering Leadership and Employee
Creativity: The Influence of Psychological Empowerment, Intrinsic Motivation, and
Creative Process Engagement. Academy of Management Journal, 53(1), 38–38.
Retrieved from
http://www.saudeidoso.icict.fiocruz.br/pdf/PlanodeAcaoparaoEnfrentamentodaViolencia
ContraaPessoaIdosa.pdf
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