ArticlePDF Available

Driving Innovation in Education: The Role of Transformational Leadership and Knowledge Sharing Strategies

Authors:

Abstract

This study aimed to investigate the impact of transformational leadership by educational institution managers on innovation in education, with a focus on the mediating role of knowledge sharing. A total of 138 faculty members and staff from higher education institutions in Iran participated in the research. Data analysis utilized partial least squares structural equation modeling (PLS-SEM) with SMARTPLS3 software. The findings indicated that transformational leadership by educational institution managers has a significant and positive impact on knowledge sharing and innovation in education. Additionally, the impact of knowledge sharing on innovation in education was also found to be significant and positive. The mediating role of knowledge sharing in the impact of transformational leadership by educational institution managers on innovation in education was also significant and positive. Therefore, it can be concluded that transformational leadership by educational institution managers leads to increased innovation in education through knowledge sharing
CO 4 (2), 505- 515 (2024)
505
Current Opinion
Current
Opinion
CO 4 (2), 505 515 (2024) Current Opinion
Received 27 Decem
ber
2023 |
Revised
27 January
2024 |
Accepte d
25 Februry
2024 |
Online Available 30 March
2024
https://doi.org/10.52845/currentopinion.v4i2.291
OPEN ACCESS JOURNAL
ISSN (O) 2795- 935X
Original Article
Driving Innovation in Education: The Role of Transformational Leadership
and Knowledge Sharing Strategies
Hosna Khorsandi 1, Mahsa Mohsenibeigzadeh 2, Arash Tashakkori 3, Behzad Kazemi 4,
Parisa Khorashadi Moghaddam5,*, Zahra Ahmadirad6
1 Department of Educational Leadership and Policy Studies, University of Denver, Denver, USA.
2 Department of Management, College of Business, University of Central Florida, USA.
3 School of Business, Stevens Institute of Technology, Hoboken 07030, New Jersey, USA.
4Department of Advanced Data Analytics, Toulouse Graduate School, University of North Texas,
Denton, TX, USA.
5Industrial Management, Tagliatela College of Engineering, University of New Haven, USA.
6 Department of Finance, Henry W. Bloch School of Management, University of Missouri, Kansas
City, USA.
*Corresponding Author: Parisa Khorashadi Moghaddam
Abstract:
This study aimed to investigate the impact of transformational leadership by educational institution
managers on innovation in education, with a focus on the mediating role of knowledge sharing. A total of
138 faculty members and staff from higher education institutions in Iran participated in the research. Data
analysis utilized partial least squares structural equation modeling (PLS-SEM) with SMARTPLS3 software.
The findings indicated that transformational leadership by educational institution managers has a significant
and positive impact on knowledge sharing and innovation in education. Additionally, the impact of
knowledge sharing on innovation in education was also found to be significant and positive. The mediating
role of knowledge sharing in the impact of transformational leadership by educational institution managers
on innovation in education was also significant and positive. Therefore, it can be concluded that
transformational leadership by educational institution managers leads to increased innovation in education
through knowledge sharing.
Keywords: Transformational Leadership, Knowledge Sharing, innovation in education, Educational
Institutions
Introduction
Innovation is a fundamental component of
organizations and educational institutions, so
much so that it can be said they are doomed to
perish without implementing change (Hatami and
Nasiri Valik Bani, 2019). In a competitive world,
innovation is not only essential for the growth of
organizations but also crucial for their survival
(Hoang et al., 2022 ; Heidari et al., 2023). New
ideas and methods quickly replace old approaches,
and change and transformation have become the
norm. Today's organizations require rapid and
continuous innovation in products, services,
technologies, and processes. Due to rapid changes
and intense competition, companies have no
choice but to innovate (Sadeghi et al., 2022; Zandi
& Luhan, 2024). Companies that cannot
consistently deliver innovative products and
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
506
services to the market will face failure. Therefore,
the ability to continuously innovate products,
services, and work processes is vital for
organizations. Consequently, over the past twenty
years, attention to "innovation" as a research topic
has increased (Singh and Sarkar, 2019). In today's
business environment, companies must
continuously innovate to remain competitive in
the long term. Existing environmental crises have
altered conventional systems and jeopardized the
survival of organizations (Karabulut et al., 2022).
For instance, ineffective sanitary disposal of
hospital waste can lead to environmental risks and
higher operational expenses (Sabeti Karajvandani
et al. 2024). In order to gain a competitive
advantage and enhance their reputation,
innovation is a crucial strategic choice to address
crises. It is evident that innovation plays a
significant role in assisting organizations to
survive in a world full of changes (Su et al.,
2020).
According to Manteghi (2005), the production,
acceptance, and implementation of educational
innovations are innovative and creative stages and
aspects that lead to transformation in the
traditional educational system and optimize and
enhance its quality. Educational innovations are
responses to changes, expectations, and
experiences of students and learners, addressing
the world of information, especially technological
advancements by learners (Koh, 2002 ; Cuocci et
al., 2023). Educational innovation entails useful
products and processes that enhance the quality
and outcomes of the learning process (Messmann
& Mulder, 2011; Chekuri et al., 2023). Many
educational institutions invest heavily in creating
innovation, but they often seek the key to
innovation outside the institution. In this case,
despite significant investments, they may not
achieve desired results. Innovation is actually
created from within the institution and among
managers and employees who exhibit innovative
behaviors (Hashemian et al., 2024 ; Sanaei, 2024).
Therefore, given the importance of innovation in
education, this research examines the impact of
transformational leadership of educational
institution managers on innovation in education
with the mediating role of knowledge sharing.
The central and crucial role of leaders in
advancing organizations towards achieving set
goals and ensuring organizational survival
necessitates the imperative coordination,
accompaniment, and direct interaction of all
organizational levels with leaders. Therefore,
leaders strive to create individual, group, and
organizational growth and development through
adopting various leadership styles tailored to the
culture, maturity level, and elevation of
organizations. The theory of transformational
leadership is one of the prominent theoretical
frameworks worldwide, introduced by Bass
(1985). A transformational leader is someone who
encourages followers to perform beyond the
expected norms (Bass, 1985; Qu et al., 2015;
Messmann et al., 2022). Burns (1978) defines
transformational leadership as a process in which
leaders and followers propel each other to higher
levels of morality and motivation.
Leadership for transformation requires the
enactment of four components or factors as
constituent elements of this well-known theory.
These factors include: 1) Idealized Influence: This
dimension describes leaders who act as strong role
models for followers. Also, pride, consideration,
respect, and unwavering loyalty from followers to
leadership convey a sense of idealism (Linde,
2004; Fernet et al., 2015). 2) Inspirational
Motivation: This factor characterizes leaders who
increase followers' commitment and motivation
by involving them in creating a vision for the
future (AmirKhani and Borhani, 2016). Ergenelia
et al., 2007; Mittal & Dhar, 2015). Inspirational
motivation requires leaders to energize and
empower organizational members. 3) Intellectual
Stimulation: Leaders utilizing this aspect do not
tell individuals what to do but rather invest in their
intellectual capital and enhance their mental
abilities (Avolio & Bass, 2002).4) Individual
Consideration: Individual consideration involves
paying attention to the individual differences of
followers, engaging with each one, and
stimulating them through delegating
responsibilities for their learning and experiences.
It occurs when leaders serve their followers in
meeting their desired needs and strive to develop
their potential (Horwitz et al., 2008). Contrary to
traditional leadership theories that mainly focus
on rational processes, transformational leadership
theory emphasizes emotions and values. Today,
transformational leadership plays a crucial role in
enhancing the capabilities of individuals and
organizations to create, exploit, unleash, and apply
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
507
knowledge to develop the competencies necessary
for organizational improvement (Grant, 2012;
Mittal & Dhar, 2015). In the educational context,
transformational leadership leads to empowering
teachers and professors, resulting in educational
innovations (Norman et al., 2024 ; Kilag et al.,
2024 ; Karami et al., 2019). Research indicates the
significant role of transformational leadership in
innovation and educational improvement (Owusu-
Agyeman, 2021; Sudibjo & Prameswari, 2021;
Vermeulen et al., 2022; Kilag et al., 2024).
On the other hand, the most important asset for
organizations today is the knowledge they have
access to. Organizations can succeed by acquiring
the most useful, reliable, and up-to-date human
knowledge in their business field and using it to
their best advantage (Kremer et al., 2019). One of
the key priorities identified by knowledge
management researchers is to create motivation in
individuals to share their knowledge. Knowledge
sharing, as a complex yet value-creating activity
in knowledge management, forms the basis of
many organizational strategies (Bhatti et al., 2021;
Azimi Asmaroud, 2022; Ghorashi et al., 2015).
While some believe that knowledge is power, it
seems that knowledge itself does not possess
power; rather, what empowers individuals is the
knowledge they share with others (Jyoti et al.,
2019). In modern economics, knowledge is
perceived as a strategic factor in achieving
sustainable competitive advantage, but it's not just
possessing knowledge assets that creates power
and value (Dehghani & Larijani, 2023). Instead,
it's the sharing of knowledge within and outside
the organization that creates the power and value.
This will lead to the creation of new and valuable
knowledge assets (Zhang et al., 2020).
Effective knowledge sharing among organization
members leads to a reduction in knowledge
production costs and ensures the dissemination of
best practices within the organization. It enables
the organization to solve its problems and
challenges, most importantly fostering innovation
and creativity (King, 2011). Research also
indicates the mediating role of knowledge sharing
in the impact of transformational leadership on
innovation (Sudibjo & Prameswari, 2021; Al-
Husseini et al., 2021; Rafique et al., 2022).
In general, innovation is essential not only for the
growth of organizations but also for their survival
in a competitive world. New ideas and methods
are rapidly replacing old ones, and change and
transformation have become the norm. Today's
organizations require continuous and rapid
innovations in products, services, technologies,
and processes. Due to rapid changes and intense
competition, companies have no choice but to
innovate. Companies that cannot continuously
deliver innovative products and services to the
market are destined to fail (Abbassi, 2022;
Borhani et al., 2022).
Previous research indicates that the impact of
transformational leadership of managers in
educational institutions on innovation in education
with the mediating role of knowledge sharing has
not been examined within the framework of
structural equation modeling. Therefore, the
fundamental issue of the present study is to
investigate the impact of transformational
leadership of managers in educational institutions
on innovation in education with the mediating role
of knowledge sharing, in order to enrich the
literature and empirical experience in this area and
take a step towards improving innovation in
education.
Based on the theoretical literature and theoretical
framework obtained from the research
background, the conceptual model of the research
is depicted in Figure 1. As can be seen, in this
model, transformational leadership of managers in
educational institutions is considered as the
independent variable, knowledge sharing as the
mediating variable, and innovation in education as
the dependent variable. Therefore, the research
hypotheses are as follows:
H1: Transformational leadership of managers in
educational institutions affects knowledge sharing.
H2: Transformational leadership of managers in
educational institutions affects innovation in
education. H3: Knowledge sharing affects
innovation in education.
H4: Knowledge sharing mediates the impact of
transformational leadership of managers in
educational institutions on innovation in
education.
Research Methodology
Population and Sample
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
508
The target population for this research consisted
of teachers and professors in educational
institutions in Tehran. A total of 138 individuals
participated in the study. Initially, 160
questionnaires were distributed among teachers
and professors in educational institutions in
Tehran. After excluding incomplete
questionnaires (22 questionnaires), 138
questionnaires were included in the analysis.
Figure 1: The conceptual model
Measures
To measure transformational leadership, the Bass
& Avolio (2000) questionnaire is utilized. This
questionnaire consists of 20 items and includes
dimensions of intellectual stimulation (5
questions), inspirational motivation (4 questions),
idealized influence (7 questions), and individual
considerations (4 questions). For measuring
knowledge sharing, the Al-Mulla et al. (2019)
questionnaire with 6 items is employed.
Additionally, for assessing innovation in
education, the Jorfi & Branch (2013)
questionnaire with slight modifications is used,
comprising 10 items. The items were measured on
a five-point Likert scale ranging from "Strongly
Disagree" (1) to "Strongly Agree" (5).
Reliability and Validity
The measurement model is tested for reliability
and validity of constructs and research tools.
Fornell and Larcker (1981) propose three criteria
for assessing reliability: item reliability,
composite reliability (CR), and average variance
Extracted. Table 1 displays factor loadings,
composite reliability, and AVE values,
demonstrating the constructs' sufficient reliability.
To evaluate structural validity, Table 2 details
item cross-loadings on research constructs. Table
2 shows that all dimensions have high factor
loadings on their respective constructs with a
factor loading difference exceeding 0.1, indicating
sufficient validity. Table 3 presents results on
correlations and the second validity criterion, the
square root of Average Variance Extracted.
Structural Model
A conceptual model was analyzed for predicting
innovation in education using SEM with PLS
estimation (Kamranfar et al., 2023 ; Toosi and
Ahmadi, 2023). Research hypotheses guided the
analysis, and a Bootstrap method (500
subsamples) determined significance. Figure 2
depicts relationships among variables, showing
positive and significant impacts of
transformational leadership on knowledge sharing
and innovation in education. Knowledge sharing
also positively and significantly influences
innovation, with circle numbers indicating
explained variances.
Table 4 reports the estimation of path coefficients
and explained variances of the research variables.
Table 4 shows the significant impact of
transformational leadership on knowledge sharing
and innovation in education. It also highlights the
mediating role of knowledge sharing in this
relationship. The model explains 51% of
educational innovation variance and 38% of
knowledge sharing variance.
Conclusion
Innovation in
Education
Leadership
Knowledge
Sharing
H1
H2
H3
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
509
The aim of the present study was to propose a
model for investigating the impact of
transformational leadership of educational
institution managers on innovation in education,
with knowledge sharing as a mediating factor,
using the structural equation modeling method.
The results indicated that the proposed model fits
the data relatively well and can explain 51% of the
variance in educational innovation and 38% of the
variance in knowledge sharing.
Table 1: The results of Reliability
Variable
Item
Factor
Loading
Cronbach’s
Alpha
composite
reliability
AVE
Intellectual
Stimulation
1
0.818
0.826
0.876
0.586
2
0.808
3
0.768
4
0.724
5
0.707
Idealized Influence
6
0.779
0.888
0.913
0.60
7
0.79
8
0.818
9
0.841
10
0.768
11
0.729
12
0.687
Inspiration
Motivation
13
0.884
0.877
0.916
0.731
14
0.847
15
0.857
16
0.831
Individual
Consideration
17
0.838
0.837
0.890
0.669
18
0.792
19
0.781
20
0.857
Knowledge Sharing
1
0.74
0.837
0.878
0.546
2
0.759
3
0.713
4
0.683
5
0.755
6
0.777
Innovation in
Education
1
0.773
0.931
0.941
0.617
2
0.816
3
0.792
4
0.767
5
0.79
6
0.812
7
0.818
8
0.831
9
0.763
10
0.683
Table 2: Cross loading
Innovation in
education
Knowledge Sharing
Transformational
Leadership
EN1
0.773
0.566
0.518
EN10
0.683
0.442
0.425
EN2
0.816
0.490
0.375
EN3
0.792
0.540
0.486
EN4
0.767
0.472
0.422
EN5
0.790
0.595
0.464
EN6
0.812
0.500
0.514
EN7
0.818
0.503
0.532
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
510
EN8
0.831
0.568
0.525
EN9
0.763
0.478
0.627
KS1
0.442
0.740
0.378
KS2
0.594
0.759
0.520
KS3
0.395
0.713
0.385
KS4
0.342
0.683
0.267
KS5
0.508
0.755
0.476
KS6
0.555
0.777
0.583
RT1
0.589
0.537
0.818
RT2
0.501
0.412
0.807
RT3
0.294
0.247
0.768
RT4
0.366
0.328
0.724
RT5
0.318
0.388
0.707
RT6
0.520
0.540
0.779
RT7
0.480
0.446
0.790
RT8
0.548
0.462
0.818
RT9
0.550
0.513
0.841
RT10
0.471
0.333
0.768
RT11
0.346
0.435
0.729
RT12
0.415
0.475
0.687
RT13
0.432
0.317
0.884
RT14
0.318
0.380
0.847
RT15
0.423
0.325
0.857
RT16
0.488
0.450
0.831
RT17
0.509
0.490
0.838
RT18
0.212
0.440
0.792
RT19
0.257
0.339
0.781
RT20
0.509
0.561
0.857
Figure 2: The PLS test
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
511
Table 3: The results of second validity criterion
Variable
Transformational
Leadership
Knowledge
Sharing
Innovation in
Education
Transformational
Leadership
0.86
Knowledge Sharing
0.61**
0.74
Innovation in Education
0.62**
0.65**
0.78
Table 4: Path coefficients and explained variances
Variables
Direct Effect
Indirect Effect
Explained Variance
To Innovation in Education Via: Knowledge Sharing
Transformational Leadership
0.44**
0.358**
-
0.269**
0.515
To Knowledge Sharing via:
Transformational Leadership
0.613**
-
0.376
The study revealed that transformational
leadership positively impacts knowledge sharing
by fostering optimism about the future,
enthusiasm for tasks, and creating a compelling
vision. Transformational leaders inspire
commitment and drive organizational change,
leading to improved performance and a culture of
knowledge sharing (Tehranian et al., 2024). Their
focus on values and beliefs cultivates trust and
respect, further enhancing knowledge exchange
among team members. The study shows that
transformational leadership positively affects
innovation in education by motivating and
effectively communicating with subordinates,
driving change, and supporting common values.
By inspiring individual efforts and increasing
awareness of organizational values,
transformational leaders activate higher-level
needs, ultimately boosting innovation capabilities.
The study shows that sharing knowledge
significantly boosts innovation in education.
When educational institutions share knowledge,
collaborate with similar companies, and engage in
common idea sharing, it leads to increased
innovation. This underscores the importance of
knowledge as a tool for action and problem-
solving, highlighting how sharing it leads to new
insights and innovation. Effective knowledge
sharing reduces costs, ensures best practices are
disseminated, and fosters innovation within
educational institutions. The study suggests that
knowledge sharing is crucial in linking
transformational leadership in educational
institutions to innovation. Transformational
leadership fosters innovation through knowledge
sharing, highlighting the importance of
adaptability and problem-solving skills. This
leadership style supports long-term organizational
changes and promotes growth, emphasizing
ethical principles and a deep understanding of
challenges. However, the study's generalizability
is limited to teachers and professors in Tehran,
and causal relationships cannot be inferred due to
the correlational nature of the research. For future
research, exploring the integration of mixed
methods, qualitative analysis (Ghorashi et al.,
2018), data mining, and machine learning
techniques (Aghamohammadghasem et al., 2023;
Owrang et al., 2025 ; Gholami et al., 2021;
Gholami et al., 2022) could offer deeper insights
into the complex relationships within
transformational leadership and knowledge
sharing dynamics compared to traditional linear
techniques like SEM and multiple regression.
References
1. Abbassi, H. (2022). The Effect of Third-Party
Tracking Cookies on Online Purchase
Behavior: A Conceptual Model. AMA
Summer Academic Conference Proceedings.
2022, Vol. 33, p486-497. 12p., Database:
Business Source Complete. https://digitalcom
mons.uncfsu.edu/cgi/viewcontent.cgi?article=
1002&context=sbe_faculty_wp
2. Aghamohammadghasem, M., Azucena, J.,
Hashemian, F., Liao, H., Zhang, S., &
Nachtmann, H. (2023, December). System
Simulation and Machine Learning-Based
Maintenance Optimization for an Inland
Waterway Transportation System. In
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
512
Proceedings of the Winter Simulation
Conference (pp. 267-278).
3. Al-Husseini, S., El Beltagi, I., & Moizer, J.
(2021). Transformational leadership and
innovation: the mediating role of knowledge
sharing amongst higher education faculty
. International Journal of Leadership in
Education, 24(5), 670-693.
4. Al-Mulla, A., Ameen, A., Issac, O., Nusari,
M., & Al-Shibami, A. H. (2019). The Effect of
Organizational Tensions, Merge Policy and
Knowledge Sharing on Managing
Organizational Change: The Context of Abu
Dhabi National Oil Organizations. Journal of
Engineering and Applied Sciences, 14(8),251
7-2531.
5. AmirKhani, T., & Borhani, T. (2016). Public
service motivation: A study of the impact of
job design and employees subjective well-
being in a public hospital. Iranian journal of
management sciences, 11(41), 76-90.
6. Avolio, B. J., & Bass, B. M. (2002).
Developing potential across a full range of
leadership: cases on transactional and
transformational leadership. Mahwah, NJ:
Erlbaum.
7. Azimi Asmaroud, S. (2022). Preservice
Elementary Teachers’ Categorical Reasoning
and Knowledge Transfer on Definition Tasks
With Two Dimensional Figures. Theses and
Dissertations. 1588. https://ir.library.illinois
state.edu/etd/1588
8. Bass, B. M. (1985). Leadership and
performance beyond expectations.
9. Bass, B. M., & Avolio, B. J. (2000).
Multifactor leadership questionnaire
(MLQ). Mind Garden, 1-114.
10. Bhatti, S. H., Vorobyev, D., Zakariya, R., &
Christofi, M. (2021). Social capital,
knowledge sharing, work meaningfulness and
creativity: evidence from the Pakistani
pharmaceutical industry. Journal of
Intellectual Capital, 22(2), 243-259.
11. Borhani, T., Pourezzat, A. A., &
Monavariyan, A. (2022). Applying a meta-
synthesis qualitative approach to provide a
design pattern for a policy laboratory. Public
Administration Perspaective, 13(1), 97-115.
12. Burns, J. M. (1978). Leadership. New York:
Harper & Row.
13. Chekuri S, Chandrasekar P, Banerjee B, Park
SH, Masrourisaadat N, Ahuja A, Ingram WA,
Fox EA. (2023). Integrated Digital Library
System for Long Documents and their
Elements. In2023 ACM/IEEE Joint
Conference on Digital Libraries (JCDL) 2023
Jun 1 (pp. 13-24). IEEE Computer Society.
https://doi.org/10.1109/JCDL57899.2023.000
12
14. Cuocci, S., Fattahi Marnani, P., Khan, I., &
Roberts, S. (2023). A Meta-Synthesis of
Technology-Supported Peer Feedback in
ESL/EFL Writing Classes Research: A
Replication of Chen’s Study. Languages, 8(2),
114.
15. Dehghani, F., & Larijani, A. (2023). Average
portfolio optimization using multi-layer neural
networks with risk consideration. Available at
SSRN. https://dx.doi.org/10.2139/ssrn.443664
8
16. Ergenelia, A., Goharb, R. &Temirbekovac, Z.
(2007). "Transformational Leadership: Its
relationship toculture value dimensions".
International Journal of Intercultural Relations
, 31,703-724.
17. Fernet, C., Trépanier, S. G., Austin, S., Gagné,
M., & Forest, J. (2015). Transformational
leadership and optimal functioning at work:
On the mediating role of employees' perceived
job characteristics and motivation. Work &
Stress, 29(1), 11-31.
18. Fornell, C., & Larcker, D. F. (1981).
Structural equation models with unobservable
variables and measurement error: Algebra and
statistics.
19. Gholami, B., Behboudi, M. H., Khadem, A.,
Shoeibi, A., & Gorriz, J. M. (2022, May).
Sleep apnea diagnosis using complexity
features of EEG signals. In International
Work-Conference on the Interplay Between
Natural and Artificial Computation (pp. 74-
83). Cham: Springer International Publishing.
https://doi.org/10.1007/978-3-031-06242-1_8
20. Gholami, B., Behboudi, M. H., Mahjani, M.
G., & Khadem, A. (2021). Diagnosis of sleep
apnea syndrome from EEG signals using
different entropy measures. 7th International
Conference on Signal Processing and
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
513
Intelligent Systems (ICSPIS), pp. 1-6. doi: 10.
1109/ICSPIS54653.2021.9729367.
21. Ghorashi, S. M., Azkia, M., & Mahdavi, M. S.
(2018). Phenomenological Study:(Kan
Neighborhood, District 5, Tehran, Iran).
Quarterly Journal of Social Development
(Previously Human Development), 12(2), 29-
54.
22. Ghorashi, S. M., Azkia, M., & Mahdavi, S. M.
S. (2015). Sociological Redefinition of the
Concept of Neighborhood from the Residents'
Viewpoint: A Phenomenological Study of Kan
Neighborhood in District 5 of Tehran.
Community Development (Rural and Urban
Communities), 7(2), 221-240.
23. Grant, A. M. (2012). Leading with meaning:
Beneficiary contact, prosocial impact, and the
performance effects of transformational
leadership. Academy of Management Journal,
55(2), 458-476.
24. Hashemian, F., Maleki, N., & Zeinali, Y.
(2024). From User Behavior to Subscription
Sales: An Insight Into E-Book Platform
Leveraging Customer Segmentation and A/B
Testing. Services Marketing Quarterly, 1-29.
25. Hatami, S., & Nasiri Valik Bani, F. (2019).
Investigating the Relation between the
Effectiveness of Classroom Management and
the Educational Innovation of Faculty
Members with Students’ Academic
Performance. Higher Education Letter, 12(46),
121-145.
26. Heidari, S., Zarei, M., Daneshfar, A., &
Dokhanian, S. (2023). Increasing Sales
Through Social Media Marketing: The Role of
Customer Brand Attachment, Brand Trust, and
Brand Equity. Marketing and Management of
Innovations, 14(1), 224-234.
27. Hoang, G., Luu, T. T., Nguyen, T. T., Du, T.,
& Le, L. P. (2022). Examining the effect of
entrepreneurial leadership on employees’
innovative behavior in SME hotels: A
mediated moderation model. International
Journal of Hospitality Management, 102,
103142.
28. Horwitz, I. B., Horwitz, S. K., Daram, P.,
Brandt, M. L., Charles Brunicardi, F., &
Awad, S. S. (2008). Transformational,
transactional, and passive-avoidant leadership
characteristics of a surgical resident cohort:
analysis using the multifactor leadership
questionnaire and implications for improving
surgical education curriculums. Journal of
Surgical Research, 148(1), 49-59.
29. Jorfi, H., & Branch, G. (2013). Surveying the
Relationship between Organizational
Innovation and Organizational Agility at
Ramin Power Station of Ahwaz. International
Journal of Management and Social Sciences
Research, 2(10), 83-88.
30. Jyoti, J., Pereira, V., & Kour, S. (2019).
Examining the impact of cultural intelligence
on knowledge sharing: role of moderating and
mediating variables. Understanding the role of
business analytics: Some applications, 169-
188.
31. Kamranfar, S., Damirchi, F., Pourvaziri, M.,
Abdunabi Xalikovich, P., Mahmoudkelayeh,
S., Moezzi, R., & Vadiee, A. (2023). A Partial
Least Squares Structural Equation Modelling
Analysis of the Primary Barriers to
Sustainable Construction in Iran. Sustaina-
bility, 15(18), 13762.
32. Karabulut, E., Gholizadeh, F., & Akhavan-
Tabatabaei, R. (2022). The value of adaptive
menu sizes in peer-to-peer platforms.
Transportation Research Part C: Emerging
Technologies, 145, 103948.
33. Karami, T., Talebi, M. A., & Sabzevari, P.
(2019). The impact of power sources and
bureaucrats-orientation in predicting burnout
(Case study: Employees of Shiraz Tax
Administration). Biannual Journal of Psycho-
logical Research in Management, 5(1), 48-77.
34. Kilag, O. K. T., Malbas, M. H., Nengasca, M.
K. S., Longakit, L. J. H., Celin, L. C., Pasigui,
R., & Valenzona, M. A. V. N. (2024).
Transformational Leadership and Educational
Innovation. European Journal of Higher
Education and Academic Advancement, 1(2),
103-109.
35. King, W. R. (2011). Knowledge sharing.
In Encyclopedia of Knowledge Management,
Second Edition (pp. 914-923). IGI Global.
36. Koh, S. (2002). Innovations in Standard
Classroom Instruction, Cataloging &
Classification Quarterly, 34 (3), 263-287.
37. Kremer, H., Villamor, I., & Aguinis, H.
(2019). Innovation leadership: Best-practice
recommendations for promoting employee
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
514
creativity, voice, and knowledge
sharing. Business Horizons, 62(1), 65-74.
38. Linde, T. (2004). Transformational leadership
and its relationship with personality
preferences in South African organizations.
Short Dissertation submitted in partial
fulfilment of the requirements for the degree
Magister ComerceII, business Management,
Rand Afeikaans University.
39. Manteghi, M. (2005). Investigating
educational innovations in Iranian schools.
Journal of Educational Innovations, 4(2),35-5
7.
40. Messmann, G., & Mulder, R. H. (2011).
Innovative work behaviour in vocational
colleges: Understanding how and why
innovations are developed. Vocations and
Learning, 4, 63-84.
41. Messmann, G., Evers, A., & Kreijns, K.
(2022). The role of basic psychological needs
satisfaction in the relationship between
transformational leadership and innovative
work behavior. Human resource development
quarterly, 33(1), 29-45.
42. Mittal, S., & Dhar, R. L. (2015).
Transformational leadership and employee
creativity: mediating role of creative self-
efficacy and moderating role of knowledge
sharing. Management Decision, 53(5).
43. Norman, L. N., Dardashti, A. D., Zohoor, S.,
Graham, K. M., & Eslami, Z. R. (2024).
Teachers’ Views Toward the English as a
Lingua Franca Perspective: A Systematic
Review. International Journal of Society,
Culture & Language, 1-13.
44. Owrang O., M. M., Schwarz, G., & Horestani,
F. J. (2025). Prediction of Breast Cancer
Recurrence With Machine Learning. In M.
Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of
Information Science and Technology, Sixth
Edition. Advance online publication. https://
doi.org/10.4018/978-1-6684-7366-5.ch061
45. Owusu-Agyeman, Y. (2021).
Transformational leadership and innovation in
higher education: A participative process
approach. International Journal of Leadership
in Education, 24(5), 694-716.
46. Qu, R., Janssen, O., & Shi, K. (2015).
Transformational leadership and follower
creativity: The mediating role of follower
relational identification and the moderating
role of leader creativity expectations. The
Leadership Quarterly, 26(2), 286-299.
47. Rafique, M. A., Hou, Y., Chudhery, M. A. Z.,
Waheed, M., Zia, T., & Chan, F. (2022).
Investigating the impact of pandemic job
stress and transformational leadership on
innovative work behavior: The mediating and
moderating role of knowledge sharing. Journal
of Innovation & Knowledge, 7(3), 100214.
48. Sabeti Karajvandani, MA., Abbasi, G.,
Amirtaheri, O., & Khishtandar, S. (2024). A
Hybrid Multi-criteria Decision-making and
Allocation Model for Selection of Hospital
Waste Disposal Firms. Journal of
Environmental Science and Technology, 1,
1733. https://doi.org/10.30495/jest.2023.738
62.5873
49. Sadeghi, S., Marjani, T., Hassani, A., &
Moreno, J. (2022). Development of Optimal
Stock Portfolio Selection Model in the Tehran
Stock Exchange by Employing Markowitz
Mean-Semivariance Model. Journal of
Finance Issues, 20(1), 47-71.
50. Sanaei, F. (2024). How customers' satisfaction
change with the use of AR shopping
application: A conceptuall model. arXiv
preprint arXiv:2401.10953. https://doi.org/10.
48550/arXiv.2401.10953
51. Singh, M., & Sarkar, A. (2019). Role of
psychological empowerment in the
relationship between structural empowerment
and innovative behavior. Management
Research Review, 42(4), 521-538.
52. Su, W., Lyu, B., Chen, H., & Zhang, Y.
(2020). How does servant leadership influence
employees' service innovative behavior? The
roles of intrinsic motivation and identification
with the leader. Baltic Journal of
Management, 15(4), 571-586.
53. Sudibjo, N., & Prameswari, R. K. (2021). The
effects of knowledge sharing and person
organization fit on the relationship between
transformational leadership on innovative
work behavior. Heliyon, 7(6), e07334.
54. Tehranian, K., Khorsand, M. S., Zarei, M.,
Arani, G. G., Banabari, H. G., & Sasani, F.
(2024) Unveiling the Impact of Social Media
Usage on Firm Performance: The Mediating
Parisa Khorashadi Moghaddam et al.
CO 4 (2), 505- 515 (2024)
515
Influence of Organizational Agility and
Innovation Capability, Tehnički glasnik, 18, 1-
9. doi:10.31803/tg-20230918233848
55. Toosi, G., & Ahmadi, M. M. (2023). Robust
process capability indices for multivariate
linear profiles. 2023 Systems and Information
Engineering Design Symposium (SIEDS),
Charlottesville, VA, USA, pp. 165-170, doi:
10.1109/SIEDS58326.2023.10137780
56. Vermeulen, M., Kreijns, K., & Evers, A. T.
(2022). Transformational leadership, leader
member exchange and school learning
climate: Impact on teachers’ innovative
behaviour in the Netherlands. Educational
Management Administration & Leadership
, 50(3), 491-510.
57. Zandi, S., & Luhan, G. (2024). Exploring
Gaze Dynamics in Virtual Reality through
Multiscale Entropy Analysis. Sensors, 24(6),1
781. https://doi.org/10.3390/s24061781
58. Zarei, P., & Dobakhti, L. (2023). An
Exploration of Iranian Teachers' Professional
and Institutional Identities and their Enactment
of Critical Pedagogy. Teaching English Lang
uage, 1-25.
59. Zhang, X., Jinpeng, X., & Khan, F. (2020).
The influence of social media on employee’s
knowledge sharing motivation: a two-factor
theory perspective. Sage Open, 10(3), 215824
4020942495.
... Policies and regulations refer to the guidelines and rules established by the government to oversee and regulate industries in their adoption of new technologies [2]. They are considered as a fundamental and influential factor in fostering innovation [17,40]. Given that blockchain is a recently emerged technology, the introduction of new regulations presents challenges, including the definition of digital ownership and access rights, without established laws and regulations in place as of yet [18]. ...
... The growth and increasing development of communication technology has led to a revolution in various aspects of human life and performance of businesses. Technology has led to changes in performance and attitude of people, companies, and governments, resulting in establishment of new industries, new jobs, and innovation in organizational processes [27,40]. Various theoretical frameworks have been formulated and tested to assess the level of technology acceptance by users, the most important of which is Technology Acceptance Model (TAM) [12,19,43]. ...
Article
Full-text available
This study tended to present a model for examining the effective factors on adoption of blockchain-based intelligent transportation systems (ITS). The methodology employed was correlational descriptive approach using structural equation modeling. The research involved collecting data through a survey, which was completed by 368 individuals residing in prominent cities across Iran. The findings of the study suggest that perceived quality of digital services significantly impacts perceived ease of use, perceived usefulness, and trust in a positive manner. Additionally, the positive influence of information technology infrastructure and social influence on perceived ease of use and perceived usefulness is evident. Moreover, perceived ease of use and perceived usefulness play pivotal roles in building trust and fostering adoption of blockchain-based ITS. The study also highlights the positive and significant impact of transparent governance on trust and adoption. Furthermore, policies and regulations are identified as key drivers of perceived usefulness and adoption of such systems. Lastly, perceived trust and security are found to positively influence adoption. These findings underscore the potential of the examined variables to serve as robust predictors for the adoption of blockchain-based ITS by citizens.
... Similarly, the application of artificial intelligence in both financial and educational contexts enhances decision-making by providing more precise and data-driven insights, such as improving capital structure strategies and enhancing overall strategic planning (Sadeghi and Niu, 2024;Darvishinia, 2023). Investors frequently rely on these returns for financial analysis and forecasting (Tashakkori et al., 2024). Unlike other methods of capital increase, such as issuing new shares, capital augmentation through asset revaluation does not result in cash inflow or liquidity outflow for the company. ...
Article
Full-text available
This study investigates the impact of capital increases on market reactions, focusing specifically on pharmaceutical companies listed on the Tehran Stock Exchange (TSE). We analyze stock returns over a six-month window: three months preceding and three months following the announcement of capital increases. Employing the market model, we assess investor responses and the revaluation of assets associated with these capital injections. Our comprehensive sample includes 200 pharmaceutical firms selected through systematic random sampling, covering the period from 2017 to 2023. The results reveal that asset revaluation significantly enhances investor reactions compared to capital increases stemming from cash contributions and retained earnings. Furthermore, our findings underscore the critical role of information transparency from company management in shaping market responses. This research contributes to a deeper understanding of investor behavior and informs management strategies related to capital restructuring in the dynamic pharmaceutical sector.
... The utilization of Recurrent Neural Networks (RNNs), and particularly LSTM networks, has shown considerable promise in capturing the nuanced patterns inherent in historical stock price data. [16][17][18][19][20] In this paper, we embark on an extensive exploration of the application of RNN and LSTM networks for stock prediction, delving deep into their capabilities, limitations, and potential impact on investment decision-making. Additionally, we endeavor to bridge the gap between theoretical advancements and practical implementations by scrutinizing RNN and LSTM performance within the unique context of the index for the French equity market, CAC40. ...
Article
Full-text available
This paper explores the application of Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks for stock price prediction over a 10-day horizon. The study aims to compare the predictive performance of these two deep learning architectures within the context of financial forecasting. Utilizing historical stock data from the CAC40 dataset, which represents a capitalization-weighted measure of the 40 most significant stocks on the Euronext Paris, we train and evaluate RNN and LSTM models to forecast future stock prices. Our results demonstrate the superior performance of LSTM networks in capturing the intricate temporal dependencies inherent in stock price data. Compared to standard RNNs, LSTM models exhibit higher accuracy and provide more reliable forecasts over the 10-day prediction period. The specialized memory cells and gating mechanisms in LSTM networks enable them to effectively identify both short-term changes and long-term patterns in stock prices, thus outperforming traditional RNN architectures. This enhanced ability to model the complex dynamics of stock market data underscores the potential of LSTM networks to improve investment decision-making, risk management, and the overall efficiency of financial markets. The insights gained from this study contribute to the growing body of knowledge on the application of deep learning in finance and investment, offering valuable guidance for practitioners and researchers seeking to harness the power of advanced algorithms for stock market prediction and optimization.
... At the level of changes in spiritual culture, it can be said that the results of the research show that in terms of individuality in social relationships, this transformation in the culture of neighborhoods has the highest frequency among the interviewees. In terms of social and cultural responsibilities, interviewees consistently highlight the disproportionate access to educational and cultural spaces in relation to population growth, underscoring the urgent need to address this significant social issue (Khorsandi et al., 2024;Darvishinia and Clark, 2024). This emphasis on the importance of equitable access to educational opportunities has only grown in recent decades, reflecting the critical role that testing and assessment play in educational environments (Askari and Karami, 2024). ...
Article
Full-text available
The aim of the present study is to examine the role of subcultures in the emergence and spread of social issues in the subcultures residing in the city of Tafresh. The research method is descriptive-analytical with a qualitative approach. The methodology of the research is ethnographic, focusing on the antagonism analysis of subcultures in two neighborhoods, old (Tarkhoran) and new (Shahrak Imam Khomeini) in the city of Tafresh, using sociological theory of social issues. The target population of the research includes residents of these two neighborhoods in Tafresh. The research sample was selected purposefully and according to theoretical saturation rule, including 10 individuals from the residents of Tarkhoran and Shahrak Imam Khomeini neighborhoods in Tafresh. The findings of the research indicate that among the themes, the role of subcultures in the emergence and spread of social issues in the two subcultures in old and new neighborhoods of Tafresh, the changes in the spiritual environment and urban space are significant. The concepts extracted from interviews were categorized into conceptual categories under the theme of cultural change, including individualism in social relationships (1A), social and cultural responsibilities (1B), and different cultural and religious styles and contexts (1C). From the perspective of the interviewees, another theme of the role of subcultures in the emergence and spread of social issues in the old and new subcultures in Tafresh is the material culture change. The concepts extracted from interviews were categorized into conceptual categories under the theme of material culture change, including changes in urban space and environment (2A), migration and demographic changes in the neighborhood (2B), and lifestyle (2C). The research findings indicate that these types of changes, especially at the neighborhood, alley, street, educational and cultural centers, and commercial centers, have been fundamental in recent years, leading to serious tensions in accepting these social changes and resulting in new social issues in old and new neighborhoods of Tafresh.
Article
Full-text available
Nano systems synthesized from organic and inorganic materials have attracted a lot of attention for biomedical applications. These applications can be in the fields of biosensors, manufacturing imaging systems, synthesis of drug carriers and targeted drug delivery. The use of particles for drug delivery was first popularized by using diagnostic drugs in reticuloendothelial systems (liver, spleen, bone marrow, and lymph nodes) and caused the increasing expansion of micro particle systems. Increasing the dissolution of drugs by reducing the particle size is one of the most important goals of using these particles. However, the use of micro particles has many other advantages. The results of the present study showed that by reducing the particle size of drugs, their shelf life in the body is increased. Because the particles are less accessible to the elimination systems of the body, such as kidney, liver, etc., and as a result, the possibility of removing them from the body decreases. For this reason, the shelf life of medicines in the body increases and the number of times the medicine is used decreases. Also, with this method, in addition to the lower cost that the patient pays due to reducing the frequency of drug use, the side effects of the drug also appear less in the patient. Consuming regimens lead to more patients. Over many years, the use of micro particles became very popular and was able to make valuable progress in the field of drug therapy, but micro-scale materials often show the same physical characteristics as bulk and macromolecules. In addition, the results showed that for more access to the cells and drug delivery to them, the drug carrier should be in the dimensions of the cells themselves and their internal organs.
Article
Full-text available
Background and Objective: In a context where substantial volumes of hospital waste are generated and disposed of daily, the ineffective sanitary disposal of such waste can lead to environmental risks and higher operational expenses. However, hospitals frequently overlook objective criteria when evaluating and selecting waste disposal firms, relying instead on subjective judgment and past experiences. This research proposes a decision-making framework that presents a hybrid model combining multi-criteria decision-making and linear programming. The primary objective of this study is to propose a safe and efficient method for outsourcing disposing of or recycling hospital waste. Material and Methodology: This study presents a framework for decision-making in hospital waste disposal, addressing both single and multiple outsourcing scenarios. Firstly, the literature is reviewed to identify the criteria for evaluating waste disposal firms. The DEMATEL method is employed to explore the cause-and-effect relationships among these criteria, selecting the most significant ones and visualizing their causal relationships in a network format. The analytic network process (ANP) method is then utilized to evaluate and choose the most suitable waste disposal firm in a single outsourcing scenario. Additionally, to mitigate the risks associated with single outsourcing, a linear programming model is introduced for multiple outsourcing. This mathematical model determines the optimal allocation of waste quantities to various waste disposal firms, aiming to maximize the overall amount of waste disposed of by these firms. Findings: The framework introduced in this study was put into practice to assess and choose hospital waste disposal firms in Tehran. Through a comprehensive literature review, 10 evaluation criteria were identified. Among these, the six most influential criteria were selected using the DEMATEL method, and their causal relationships were depicted in a network. The ANP was employed to assign weights to the evaluation criteria and the candidate firms. The evaluation criteria, in descending order of importance, include qualified human resources, recycling and disposal capacity, experience, cost, collection and transportation infrastructure, and waste disposal and recycling technology. Furthermore, a linear programming model was solved using Lingo software to optimize the allocation of waste among the candidate firms. Discussion & Conclusion: The decision-making model presented in this article offers advantages to both hospital officials and urban pollution control officials in the context of outsourcing sanitary waste disposal. The outcomes obtained from implementing the proposed framework demonstrate that decision-making based on this model not only benefits hospitals in selecting a suitable firm but also helps to mitigate conflicts of interest and disagreements between hospitals, sanitary waste disposal firms, and urban pollution control officials.
Article
Full-text available
This study employs Multiscale Entropy (MSE) to analyze 5020 binocular eye movement recordings from 407 college-aged participants, as part of the GazeBaseVR dataset, across various virtual reality (VR) tasks to understand the complexity of user interactions. By evaluating the vertical and horizontal components of eye movements across tasks such as vergence, smooth pursuit, video viewing, reading, and random saccade, collected at 250 Hz using an ET-enabled VR headset, this research provides insights into the predictability and complexity of gaze patterns. Participants were recorded up to six times over a 26-month period, offering a longitudinal perspective on eye movement behavior in VR. MSE’s application in this context aims to offer a deeper understanding of user behavior in VR, highlighting potential avenues for interface optimization and user experience enhancement. The results suggest that MSE can be a valuable tool in creating more intuitive and immersive VR environments by adapting to users’ gaze behaviors. This paper discusses the implications of these findings for the future of VR technology development, emphasizing the need for intuitive design and the potential for MSE to contribute to more personalized and comfortable VR experiences.
Conference Paper
Full-text available
Description: This study provides a conceptual model of how online businesses using AR technology in their purchase stage can have effects on customer satisfaction and their purchase intention, considering the mediation roles of customer experience and immersion. 2023 AMA Winter Academic Conference 803 2 ABSTRACT The paper proposes a conceptual model of how different perceived levels of experiential AR application features have effects on customer experience, and in turn their satisfaction and purchase behavior. In addition, it put forward the mediation role of immersion between perceived levels of experiential AR application features and customers' experience.
Article
Full-text available
The current research tended to examine the impact of social media usage on firm performance with the mediating role of organizational agility and innovation capability. The methodology used was descriptive correlation with structural equation modelling. For this purpose, 148 managers, deputies and experts of the German automotive industry participated in the study. Data collection was conducted using a questionnaire while analysis of the data utilized the structural equation modeling based the partial least squares method. The findings suggest that social media usage has a substantial and positive impact on innovation capability, organizational agility, and firm performance. Additionally, innovation capability has a notable positive influence on organizational agility and firm performance. Furthermore, organizational agility significantly contributes to firm performance. Both innovation capability and organizational agility play an important mediating role in the relationship between social media usage and firm performance. Moreover, innovation capability acts as a mediator between social media usage and organizational agility, while organizational agility mediates the effect of innovation capability on firm performance. Thus, it can be inferred that social media usage facilitates improvements in firm performance by enhancing organizational agility and innovation capability.
Article
Full-text available
This study aimed to investigate the relationship between Iranian EFL teachers' professional and institutional identities, and their implementation of critical pedagogy. In order to address the research questions of this study, a mixed-method design was employed. Survey type approach and interview were used. Through convenience sampling, 121 EFL teachers from different private language institutes took part in the study by completing the professional identity questionnaire, the institutional Identity questionnaire, and the critical pedagogy implementation questionnaire. In the second phase of the study, for triangulating the data, 11 of the participants were interviewed. To analyze the data, Pearson product-moment correlation, multiple-regression, and qualitative content analyses were run. The obtained results pointed to the significant relationship both between EFL teachers' institutional identity and their implementation of critical pedagogy, and EFL teachers’ professional identity and their implementation of critical pedagogy. Moreover, teachers’ institutional identity was found to be predictive of their implementation of critical pedagogy. The study's findings have implications for teacher educators and language academies.
Article
Full-text available
Research on the efficiency of technology-supported peer feedback activities in the ESL/EFL writing classroom has led to contradictory results. Some studies claim that it improves learners’ motivation and attitudes toward writing while others mention technical difficulties or a lack of training as drawbacks affecting learners’ experiences and thus learning. This ongoing debate calls for a meta-synthesis of studies published between 2011 and 2022. Replicating Chen’s study, the authors identified 20 primary studies and analyzed them under the lens of Glaser and Strauss’s grounded theory constant comparison method. The findings revealed that students’ preferences, capabilities, and attitudes regarding the features of the technology used in classes; the contextual factors, suitable online platforms, and training on the provision of proper feedback; and the use of the selected technologies can determine the extent to which implementing technology-supported peer feedback activities would be successful.
Article
Full-text available
In an increasingly complex financial market, selecting the optimal stock portfolio has become a subject of intense debate. This study aims to develop a model for optimal stock portfolio selection. We apply Markowitz's mean-semivariance approach to determine the downside risk of portfolios, which reflects investors' intuitive perception of risk. In the first stage, the combination of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with interval data is employed to identify and rank good quality stocks according to the recommended criteria by experts. After selecting qualified stocks, in the second phase, we create portfolios, and the weight invested in each stock is determined. Then, three portfolios are created for three groups of risk-averse, neutral to risk, and risk-taker investors. The mean-semivariance optimization model is used in this phase. The proposed approach in the paper is implemented in a real case study of the Tehran stock exchange (TSE). Three portfolios for three groups of investors were evaluated and compared to the market performance using sharp criteria. All three portfolios outperformed the market portfolio both in terms of risk and return. The proposed model of this study can be utilized as a decision support tool when forming an optimal stock portfolio by considering both experts’ opinions on stock evaluation and investor risk preferences simultaneously.