30
www.amazoniainvestiga.info ISSN 2322- 6307
DOI: https://doi.org/10.34069/AI/2022.57.09.3
How to Cite:
Alhamad, I.A., & Singh, H.P. (2022). Digital technologies and information translucence in healthcare management: An institutional
theory perspective for adopting electronic incidence reporting systems. Amazonia Investiga, 11(57), 30-38.
https://doi.org/10.34069/AI/2022.57.09.3
Digital technologies and information translucence in healthcare
management: An institutional theory perspective for adopting
electronic incidence reporting systems

Received: September 1, 2022 Accepted: October 12, 2022
Written by:
Ibrahim Abdullah Alhamad4
https://orcid.org/0000-0001-7099-0335
Harman Preet Singh5
https://orcid.org/0000-0003-4297-0016
Abstract
The purpose of this study was to provide an
institutional theory perspective on the adoption
of electronic IRS technology for healthcare
management. This research employs institutional
theory to investigate the adoption of electronic
IRS for healthcare management. The study’s
conceptual analysis demonstrates that coercive,
normative, and imitative forces influence the
adoption of electronic IRS for healthcare
management. International healthcare
regulations and standards reflect the presence of
coercive forces. International healthcare
societies and professional networks mirror
normative forces. Imitative forces exert pressure
on smaller enterprises and developing nations to
adopt electronic IRS. This research contributes to
the literature and theory by extending the
application of institutional theory to the adoption
of digital technologies such as the electronic IRS.
In addition, the study has practical implications
because it demonstrates the importance of digital
technologies such as electronic IRS for
information translucence and healthcare
management. Small businesses in developing
nations can learn from large businesses in
developed nations to adopt electronic IRS for
efficient and effective healthcare management.
Keywords: Digital technologies, Institutional
theory, information translucence, healthcare
management, electronic incidence reporting
systems.
4
Department of Management and Information Systems, College of Business Administration, University of Ha'il, Kingdom of Saudi
Arabia.
5
Department of Management and Information Systems, College of Business Administration, University of Ha'il, Kingdom of Saudi
Arabia.
Alhamad, I.A., Singh, H.P. / Volume 11 - Issue 57: 30-38 / September, 2022
2
1
2
1
Volume 11 - Issue 57
/ September 2022
31
https://www.amazoniainvestiga.info ISSN 2322- 6307
Introduction
Digital technologies have considerably altered
the way modern institutions operate and have
added significant value to business processes
(Gregori & Holzmann, 2020). Digital
technologies have transformed data collection,
information and knowledge creation, and
decision-making processes (Singh &
Alshammari, 2021). Digital technologies enable
dynamic decision-making in the information age
(Klonoff, 2013; Gopal et al., 2018) and enable
sustainable development (Singh et al., 2022a).
Information translucence is one of the most
significant benefits of digital technologies.
Information translucence results in information
availability, information clarity, decreases errors
and eliminates impediments (Albu & Flyverbom,
2016). Information translucence eliminates
superfluous secrecy and provides the necessary
lucidity, awareness, and effectiveness (Danker,
2013). Information translucence is about
accessibility, communication, coopetition,
liaison, and concerted decision-making (Barth &
Schipper, 2008). Thus, information translucence
significantly aids professionals in the decision-
making process (Winkler, 2000). As a result,
digital technologies are increasingly being used
in banks, educational institutions, and hospitals,
among other places.
Digital technologies are transforming medical
practices in the field of healthcare. Using new
tools and the creation of new types of
information, digital technologies enable the
collection of rich and real-time medical data.
They contribute to the creation of novel and
distinct knowledge for healthcare management.
The use of digital technologies enables the
remote storage, analysis, and prediction of
healthcare data. Thus, the application of digital
technologies to healthcare has established itself
as a critical enabler of the digital health
revolution (Klonoff, 2013). Healthcare
institutions can get up-to-date and streamlined
information using digital technologies (Gagnon
et al., 2016). Digital technologies are plating a
vital role in healthcare transformation during and
post COVID-19 (Wang et al., 2021; Mbunge et
al., 2022; Singh et al., 2022b). Thus, digital
technologies can enable effective healthcare
management.
The incidence reporting system (IRS) has
emerged as a crucial healthcare technology. IRS
is widely acknowledged as a crucial system to
facilitate healthcare learning and improve patient
safety (Kumari & Singh, 2022). An effective IRS
catalyzes health safety practices (Pfeiffer, 2010).
IRS gathers information regarding the safety of
patients, which forms a backbone for creating
learning capabilities in organizations for patient
safety (Stavropoulou et al., 2015). IRS help to
create new healthcare policies and practices to
stop the repetition of earlier incidents
(Braithwaite, 2008). Prior research suggests that
IRS is utilized less due to a variety of reasons,
like high workload, fear of liability, inability to
judge reporting usefulness, etc. (Pfeiffer, 2010;
Hwang et al., 2012). Electronic IRS overcomes
many of these challenges (Uyob, 2020). The
increase in adoption of the internet (Alshammari
& Singh, 2018; Alhamad & Singh, 2021a) and
web-based technologies (Alhamad & Singh,
2021b; Singh & Alhamad, 2021) have propelled
the adoption of digital technologies in healthcare,
resulting in the adoption of electronic IRS.
Electronic IRS eliminates the paper-based
recording of hospital incidents and avoids
manual data entry delays and errors (Walsh et al.,
2010). Electronic IRS can be web-based or
incorporated alongwith an electronic health
records technology (Walsh et al., 2010).
Literature suggests that electronic IRS adoption
improves incident reporting (Elliott et al., 2014),
however, the majority of the studies have
employed technology adoption theories such as
user experience and social influence (Shin &
Biocca, 2018), Unified Theory of Acceptance
and Use of Technology (UTAUT) (Venkatesh et
al., 2003; Venkatesh et al., 2016), Technology
Acceptance Model (TAM) (Davis, 1989).
Institutional theory can provide a novel
perspective and decipher forces that lead to the
adoption of digital technology like electronic IRS
for effective healthcare management. However,
prior research has not made enough efforts in this
regard. This study endeavors to bridge these
research gaps. In this research, we explore the
influence of coercive, normative, and imitative
forces of institutional theory on the adoption of
digital technologies such as electronic IRS for
information translucence and healthcare
management.
Review of Literature
IRS provides critical insights into patient safety
at a healthcare organization. The use of IRS in
healthcare organizations is relatively recent, but
they have long been utilized in other industries
(such as railways, aviation, and nuclear power)
(Pham et al., 2013; Allen, 2021). The IRS
provides a mechanism for identifying hazards so
that hospitals can take steps to mitigate them
(Ramírez et al., 2018). IRS provides useful
32
www.amazoniainvestiga.info ISSN 2322- 6307
information for identifying risks and learning
opportunities for healthcare professionals (Wu et
al., 2007; Laurenza et al., 2018; Tortorella et al.,
2021). The traditional IRS, on the other hand, has
some drawbacks, such as difficulty monitoring
error rates, inability to track changes over time,
development of overlapping and contradicting
reports, lack of in-depth patient safety
evaluations, excessive time, and cost, and so on
(Padilla et al., 2019). There is evidence to suggest
that traditional IRS has been less effective in
reporting and reducing preventable harm
(Shearer et al., 2012; Pham et al., 2013; Al-Rayes
et al., 2020). Because of these limitations,
healthcare providers are debating whether the
traditional IRS has supported the goal of patient
safety.
Traditional IRS constraints are being bypassed
with the use of electronic IRS. Electronic IRS
improves tracking, comprehension, and privacy
of incident reporting (Elliott et al., 2014). The
use of electronic IRS minimizes the number of
missing incident events (Elliott et al., 2014).
Electronic IRS enables decision-makers to view
the status of incidents in real-time and analyze
incident reports to discern incident patterns
(Levtzion-Korach et al., 2009). Electronic IRS
provides healthcare providers with larger access
to the required information, enabling them to
take remedial action (Herchline et al., 2022).
Effective IRS is user-friendly and provides the
necessary privacy for safeguarding sensitive
patient information. Electronic IRS provides
these features and results in increased patient
satisfaction and improves system usability and
security (Alrub et al., 2021). Electronic IRS can
automate clinical processes and play a pivotal
role in clinical governance (Ubogagu-Israel et
al., 2022). Electronic IRS improves hospital
quality management, which leads to improved
patient outcomes (Hewitt et al., 2016). Electronic
IRS can play a pivotal role to improve patient
safety in high-risk situations and improve error
resilience (Stavropoulou et al., 2015; Howell et
al., 2016). Electronic IRS supports the voluntary
reporting of incidents by physicians and other
support staff, which can lead to significant
improvement in patient safety and provide
valuable insights to prevent the recurrence of
incidents (Lurvey et al., 2021). Electronic IRS
provides a lucid and structured framework for
incident reporting and evaluation to promote
patient safety (Dhamanti et al., 2020; Awad et al.,
2021).
Various theories have been employed in prior
research to explain the user adoption of
technologies. Some popular theories include user
experience and social influence (Shin & Biocca,
2018), Unified Theory of Acceptance and Use of
Technology (UTAUT) (Venkatesh et al., 2003;
Venkatesh et al., 2016), Technology Acceptance
Model (TAM) (Davis, 1989). However, we are
interested in the adoption of technology
(electronic IRS) by healthcare institutions in this
study. Institutional theory can serve this research
goal. So, we propose to employ institutional
theory in this study.
Theoretical Framework
In the current research, we would employ the
institutional theory model of DiMaggio & Powell
(1983). According to this model, businesses
gradually adopt similar practices and behaviors.
DiMaggio and Powell (1983) identified three
forces that contribute to this convergence:
coercive, normative, and imitative forces. The
origin of coercive forces is political power and
legitimacy by businesses. They can be conveyed
via legislations, rules, procedures,
standardization, supervision, or complaisance
requirements of an external agency (Kim et al.,
2016). The normative forces are associated with
professional values. They can result from gaining
knowledge from others through professional
networks (Appari et al., 2009). Imitative forces
involve emulating or copying the other's
behavior. These actions result from a business’s
response to uncertainty (Safa et al., 2016).
According to DiMaggio and Powell (1983),
coercive, normative, and imitative forces shape
businesses' convergence toward standardized
practices and recognized behaviors. Therefore,
the institutionalization of businesses is guided by
coercive, normative, and imitative forces.
Teo et al. (2003) have applied the institutional
model to the firm-level espousal of financial
electronic data interchange (FEDI). Shi et al.
(2008) have taken the institutional model and
applied it to the adoption of Internet banking by
individuals. Ugrin (2009) has applied the
institutional model to the process of adopting
enterprise resource planning (ERP) at the firm
level. Sherer (2010) used the institutional model
to analyze how doctors adopted electronic health
records (EHRs). The institutional model was
utilized by Burnett et al. (2015) to investigate
how hospitals in five different European nations
responded to external financial and quality
demands. Singh & Alshammari (2020) applied
institutional theory model of DiMaggio & Powell
(1983) for developing a cyber-security legal
framework.
Volume 11 - Issue 57
/ September 2022
33
https://www.amazoniainvestiga.info ISSN 2322- 6307
The preceding discussion demonstrates that
institutional theory has been applied to digital
technologies and the healthcare industry.
Therefore, we would use institutional theory in
this study.
Conceptual Analysis
The previous discussion elucidates that the
institutionalization of firms is guided by
coercive, normative, and imitative forces. We
endeavor to decipher these forces in the
international healthcare industry context.
Therefore, we employ conceptual analysis to
investigate the role of coercive, normative, and
imitative forces in the adoption of electronic IRS
(Table 1).
Table 1.
Institutional Theory for Adopting Electronic Incidence Reporting Systems
Force
Electronic IRS Adoption Framework for Healthcare Industry (Conceptual
Analysis)
Coercive
In the healthcare industry, coercive forces are reflected in international
standards. International Health Regulations (IHR), health regulations and
2005 have been ratified by 196 countries across the globe and oblige
countries to detect and report public health incidents (WHO, 2019).
International Organization for Standardization (ISO) has developed
everal standards to monitor the vital signs of patients and prevent the s
occurrence of incidents (ISO, 2019). Healthcare professionals across the
globe rely on these standards to contain incidents and provide quality
ompliance with international healthcare. Electronic IRS facilitates c
healthcare regulations and standards by healthcare institutions.
Normative
In the healthcare industry, normative forces are reflected in healthcare
societies and professional networks. The most prominent international
in healthcare is the International Society for Quality in Health society
Care (ISQua) (ISQua, 2022). ISQua seeks to enhance the quality and
security of healthcare by fostering international collaborations and
ISQua has an soliciting the cooperation of healthcare stakeholders.
institutional and professional network of members worldwide. ISQua
promotes healthcare innovations, information translucence, digital
technology adoption, and knowledge sharing. Electronic IRS satisfies
oviders get encouragement to these ISQua objectives, so healthcare pr
adopt this digital technology. There are other noticeable professional
networks like the global health network (GHN, 2022) and the global
network for simulation in healthcare (GNSH, 2022), which encourage the
l technologies like electronic IRS.adoption of digita
Imitative
Developed nations have taken the lead in adopting electronic IRS while
developing nations lag behind (Kumari & Singh, 2022). In developing
countries, large hospitals are more likely to adopt electronic IRS than
f a larger healthcare smaller hospitals. Since hospitals are part o
ecosystem (Aubin & King, 2018; Viswanadham, 2021), the adoption of
electronic IRS by larger enterprises creates imitative pressure on smaller
enterprises to do the same. Healthcare in both developed and developing
nt of the global healthcare ecosystem (Asakura et nations is a compone
al., 2015), so the adoption of electronic IRS by developed countries
encourages developing nations to do the same.
Results and Discussion
The electronic IRS is a crucial digital technology
for healthcare management, as it facilitates
information translucence, information
accessibility, information clarity, and error
reduction (Danker, 2013; Albu & Flyverbom,
2016). Understanding the forces that lead to the
adoption of digital technologies such as
electronic IRS for healthcare management can be
greatly aided by institutional theory. According
to institutional theory, coercive, normative, and
imitative forces (DiMaggio and Powell, 1983)
influence the adoption of digital technologies,
such as the electronic IRS. Therefore, the role of
coercive, normative, and imitative forces in the
34
www.amazoniainvestiga.info ISSN 2322- 6307
adoption of electronic IRS is conceptually
analyzed in the present study.
The institutional theory perspective demonstrates
that coercive forces are reflected in laws, rules,
procedures, standardization, supervision, and
compliance requirements (Kim et al., 2016). The
present study’s conceptual analysis shows that
coercive forces are manifested in international
health regulations (e.g., international health
regulations (IHR), 2005) (WHO, 2019) and
standards (e.g., International Organization for
Standardization (ISO) (ISO, 2019). Such
coercive forces lead healthcare organizations to
adopt digital technologies like electronic IRS for
healthcare management.
Institutional theory suggests that normative
forces are mirrored in professional networks
(Appari et al., 2009). The current research
conceptual analysis shows that normative forces
are manifested in international healthcare
societies (e.g., International Society for Quality
in Health Care (ISQua) (ISQua, 2022) and
professional networks (e.g., global health
network (GHN, 2022) and global network for
simulation in healthcare (GNSH, 2022). Such
normative forces encourage healthcare
organizations to adopt digital technologies like
electronic IRS for healthcare management.
The institutional theory posits that imitative
forces manifest themselves in emulating or
copying the behavior of others (Safa et al., 2016).
The present study’s conceptual analysis shows
that imitative forces create imitative pressure on
smaller enterprises (Aubin & King, 2018;
Viswanadham, 2021) and developing nations
(Asakura et al., 2015) to adopt electronic IRS.
Conclusions
The emergence of digital technology like
electronic IRS serves the critical need for
information translucence in the healthcare
industry. Electronic IRS technology facilitates
healthcare management, improves patient safety,
and promotes health safety practices. Electronic
IRS technology overcomes the limitations of
traditional IRS and improves tracking,
comprehension, and privacy of incident
reporting. The current research employs the
institutional theory model of DiMaggio & Powell
(1983) to study the adoption of electronic IRS for
healthcare management. The present research
uses institutional theory as it has been applied to
digital technologies and the healthcare industry.
The present study examines the role of
institutional theory’s coercive, normative, and
imitative forces in the adoption of electronic IRS.
The current research conceptual analysis shows
that coercive, normative, and imitative forces
guide the adoption of electronic IRS for
healthcare management. Coercive forces are
reflected in international health regulations (e.g.,
international health regulations (IHR), 2005)
(WHO, 2019) and standards (e.g., International
Organization for Standardization (ISO) (ISO,
2019). Normative forces are manifested in
international healthcare societies (e.g.,
International Society for Quality in Health Care
(ISQua) and professional networks (e.g., global
health network). Imitative forces exert pressure
on smaller businesses and developing nations to
adopt electronic IRS.
Implications and Limitations
The current research has important implications
for theory and practice. One, it deciphers the role
of institutional theory for adopting digital
technologies like electronic IRS. Prior research
proposes the use of technology adoption theories
like user experience and social influence, Unified
Theory of Acceptance and Use of Technology
(UTAUT), Technology Acceptance Model
(TAM), etc. in adopting digital technologies. The
conceptual analysis of the current research
demonstrates that organizational theory, such as
institutional theory, can provide an appropriate
theoretical lens to decipher coercive, normative,
and imitative forces in the adoption of digital
technologies such as electronic IRS. Second, the
current research demonstrates the role of digital
technology like electronic IRS for information
translucence and healthcare management. The
small enterprises in developing nations can take
learnings from large enterprises in developed
nations to adopt electronic IRS for efficient and
effective healthcare management.
Though this study has important implications,
however, there are some limitations. The study
employs conceptual analysis to depict the role of
institutional theory’s coercive, normative, and
imitative forces in guiding the adoption of digital
technology like electronic IRS for healthcare
management. Empirical analysis can validate the
research findings. The current research employs
an international perspective to build its case.
However, every country can have its own set of
institutional forces that guide the adoption of
digital technology like electronic IRS. Therefore,
future research can be conducted on a country-
by-country basis and can provide a thorough
knowledge of the role of digital technologies
Volume 11 - Issue 57
/ September 2022
35
https://www.amazoniainvestiga.info ISSN 2322- 6307
such as electronic IRS in effective healthcare
management in accordance with local conditions.
Bibliometric references
Albu, O. B., & Flyverbom, M. (2016).
Organizational Transparency:
Conceptualizations, Conditions, and
Consequences. Business & Society, 58(2),
268-297.
https://doi.org/10.1177/0007650316659851
Alhamad, I. A., & Singh, H. P. (2021a).
Predicting Key Factors Impacting Online
Hotel Ratings Using Data Mining Approach:
A Case Study of the Makkah City of Saudi
Arabia. International Transaction Journal of
Engineering, Management, & Applied
Sciences & Technologies, 12(2), 12A2N,
1-12.
https://doi.org/10.14456/ITJEMAST.2021.3
5
Alhamad, I. A., & Singh, H. P. (2021b).
Decoding Significant and Trivial Factors
Influencing Online Hotel Ratings: The Case
of Saudi Arabia's Makkah City. International
Transaction Journal of Engineering,
Management, & Applied Sciences &
Technologies, 12(7), 12A7H, 1-11.
https://doi.org/10.14456/ITJEMAST.2021.1
34
Allen, D. (2021). Weaponised incident reporting
and what to do to prevent it. Nursing
Standard, 36(11), 810.
https://doi.org/10.7748/ns.36.11.8.s6
Al-Rayes, S. A., Aldar, F. A., al Nasif, N. S.,
Alkhadrawi, Z. I., Al-Fayez, A., &
Alumran, A. (2020). The use of electronic
incident reporting system: Influencing
factors. Informatics in Medicine Unlocked,
21, 100477.
https://doi.org/10.1016/j.imu.2020.100477
Alrub, A. M. A., Amer, Y. S., Titi, M. A.,
May, A. C. A., Shaikh, F., Baksh, M. M., &
El‐Jardali, F. (2021). Barriers and enablers in
implementing an electronic incident
reporting system in a teaching hospital: A
case study from Saudi Arabia. The
International Journal of Health Planning and
Management, 37(2), 854872.
https://doi.org/10.1002/hpm.3374
Alshammari, T. S., & Singh, H. P. (2018).
Preparedness of Saudi Arabia to Defend
Against Cyber Crimes: An Assessment with
Reference to Anti-Cyber Crime Law and GCI
Index. Archives of Business Research, 6(12),
131146.
https://doi.org/10.14738/abr.612.5771
Appari, A., Johnson, M. E., & Anthony, D. L.
(2009). HIPAA Compliance: An Institutional
Theory Perspective. In Proceedings of the
Fifteenth Americas Conference on
Information Systems San Francisco,
California, USA, August 6-9 (pp. 252261).
Asakura, T., Mallee, H., Tomokawa, S., Moji, K.,
& Kobayashi, J. (2015). The ecosystem
approach to health is a promising strategy in
international development: lessons from
Japan and Laos. Globalization and Health,
11(1), 3. https://doi.org/10.1186/s12992-015-
0093-0
Aubin, D., & King, S. (2018). The Healthcare
Environment: A Perfect Ecosystem for
Growing Shame. Healthcare Quarterly,
20(4), 3136.
https://doi.org/10.12927/hcq.2018.25426
Awad, A., Trenfield, S. J., Pollard, T. D.,
Ong, J. J., Elbadawi, M., McCoubrey, L. E.,
Goyanes, A., Gaisford, S., & Basit, A. W.
(2021). Connected healthcare: Improving
patient care using digital health technologies.
Advanced Drug Delivery Reviews, 178,
113958.
https://doi.org/10.1016/j.addr.2021.113958
Barth, M. E., & Schipper, K. (2008). Financial
Reporting Transparency. Journal of
Accounting, Auditing & Finance, 23(2),
173-190.
https://doi.org/10.1177/0148558x080230020
3
Braithwaite, J., Westbrook, M., & Travaglia, J.
(2008). Attitudes toward the large-scale
implementation of an incident reporting
system. International Journal for Quality in
Health Care, 20(3), 184191.
https://doi.org/10.1093/intqhc/mzn004
Burnett, S., Mendel, P., Nunes, F., Wiig, S.,
Bovenkamp, H. V., Karltun, A., Robert G.,
Anderson, J., Vincent, C., & Fulop, N.
(2015). Using institutional theory to analyze
hospital responses to external demands for
finance and quality in five European
countries. Journal of Health Services
Research & Policy, 21(2), 109-117.
https://doi.org/10.1177/1355819615622655
Danker, M. (2013). Understanding Stakeholder
Activism, Managing Transparency Risk. The
Governance of Risk (Vol. 5, Developments in
Corporate Governance and Responsibility,
pp. 33-72). Emerald Group Publishing
Limited.
Davis, F. D. (1989). Perceived Usefulness,
Perceived Ease of Use, and User Acceptance
of Information Technology. MIS Quarterly,
13(3), 319. https://doi.org/10.2307/249008
Dhamanti, I., Leggat, S., Barraclough, S.,
Liao, H. H., & Abu Bakar, N. (2020).
Comparison of Patient Safety Incident
Reporting Systems in Taiwan, Malaysia, and
36
www.amazoniainvestiga.info ISSN 2322- 6307
Indonesia. Journal of Patient Safety, 17(4),
e299e305.
https://doi.org/10.1097/pts.00000000000006
22
DiMaggio, P. J., & Powell, W. W. (1983). The
Iron Cage Revisited: Institutional
Isomorphism and Collective Rationality in
Organizational Fields. American
Sociological Review, 4(2), 147-160.
https://doi.org/10.2307/2095101
Elliott, P., Martin, D., & Neville, D. (2014).
Electronic Clinical Safety Reporting System:
A Benefits Evaluation. JMIR Medical
Informatics, 2(1), e12.
https://doi.org/10.2196/medinform.3316
Gagnon, M., Simonyan, D., Ghandour, E. K.,
Godin, G., Labrecque, M., Ouimet, M., &
Rousseau, M. (2016). Factors influencing
electronic health record adoption by
physicians: A multilevel analysis.
International Journal of Information
Management, 36(3), 258-270.
https://doi.org/10.1016/j.ijinfomgt.2015.12.0
02
GHN. (2022). The Global Health Network.
Retrieved April 4, 2022, from
https://tghn.org/
GNSH. (2022). GNSH Shaping Simulation to
Improve Healthcare. Global Network for
Simulation in Healthcare. Retrieved April 3,
2022, from https://www.gnsh.org/
Gopal, G., Suter-Crazzolara, C., Toldo, L., &
Eberhardt, W. (2018). Digital transformation
in healthcare architectures of present and
future information technologies. Clinical
Chemistry and Laboratory Medicine
(CCLM), 57(3), 328335.
https://doi.org/10.1515/cclm-2018-0658
Gregori, P., & Holzmann, P. (2020). Digital
sustainable entrepreneurship: A business
model perspective on embedding digital
technologies for social and environmental
value creation. Journal of Cleaner
Production, 272, 122817.
https://doi.org/10.1016/j.jclepro.2020.12281
7
Herchline, D., Rojas, C., Shah, A. A.,
Fairchild, V., Mehta, S., & Hart, J. (2022). A
Quality Improvement Initiative to Improve
Patient Safety Event Reporting by Residents.
Pediatric Quality & Safety, 7(1), e519.
https://doi.org/10.1097/pq9.0000000000000
519
Hewitt, T., Chreim, S., & Forster, A. (2016).
Incident reporting systems: a comparative
study of two hospital divisions. Archives of
Public Health, 74(1).
https://doi.org/10.1186/s13690-016-0146-8
Howell, A. M., Burns, E. M., Hull, L., Mayer, E.,
Sevdalis, N., & Darzi, A. (2016).
International recommendations for national
patient safety incident reporting systems: an
expert Delphi consensus-building process.
BMJ Quality & Safety, 26(2), 150163.
https://doi.org/10.1136/bmjqs-2015-004456
Hwang, J. I., Lee, S. I., & Park, H. A. (2012).
Barriers to the Operation of Patient Safety
Incident Reporting Systems in Korean
General Hospitals. Healthcare Informatics
Research, 18(4), 279.
https://doi.org/10.4258/hir.2012.18.4.279
ISO. (2019). ISO and Health. International
Organization for Standardization. Retrieved
May 1, 2022, from
https://www.iso.org/files/live/sites/isoorg/fil
es/store/en/PUB100343.pdf
ISQua. (2022). ISQua - The International Society
for Quality in Health Care. International
Society for Quality in Healthcare (ISQua).
Retrieved April 2, 2022, from
https://isqua.org/
Kim, D.-J., Hwang, I.-H., & Kim, J.-S. (2016). A
Study on Employees Compliance Behavior
to-wards Information Security Policy: A
Modified Triandis Model. Journal of Digital
Convergence, 14(4), 209220.
https://doi.org/10.14400/jdc.2016.14.4.209
Klonoff, D. C. (2013). Twelve Modern Digital
Technologies That are Transforming
Decision Making for Diabetes and All Areas
of Health Care. Journal of Diabetes Science
and Technology, 7(2), 291-295.
https://doi.org/10.1177/19322968130070020
1
Kumari, R., & Singh, H. P. (2022). Role of
Incident Reporting System in Healthcare
Management: A Case of Multispeciality
Tertiary Hospital in India. International
Journal of Information Movement, 6(IX), 12
18. http://www.ijim.in/paper-3-role-of-
incident-reporting-system-in-healthcare-
management-a-case-of-multispeciality-
tertiary-hospital-in-india/
Laurenza, E., Quintano, M., Schiavone, F., &
Vrontis, D. (2018). The effect of digital
technologies adoption in healthcare industry:
a case based analysis. Business Process
Management Journal, 24(5), 11241144.
https://doi.org/10.1108/bpmj-04-2017-0084
Levtzion-Korach, O., Alcalai, H., Orav, E. J.,
Graydon-Baker, E., Keohane, C.,
Bates, D. W., & Frankel, A. S. (2009).
Evaluation of the Contributions of an
Electronic Web-based Reporting System.
Journal of Patient Safety, 5(1), 915.
https://doi.org/10.1097/pts.0b013e318198dc
8d
Volume 11 - Issue 57
/ September 2022
37
https://www.amazoniainvestiga.info ISSN 2322- 6307
Lurvey, L. D., Fassett, M. J., & Kanter, M. H.
(2021). Self-Reported Learning (SRL), a
Voluntary Incident Reporting System
Experience Within a Large Health Care
Organization. The Joint Commission Journal
on Quality and Patient Safety, 47(5),
288295.
https://doi.org/10.1016/j.jcjq.2021.01.002
Mbunge, E., Batani, J., Gaobotse, G., &
Muchemwa, B. (2022). Virtual healthcare
services and digital health technologies
deployed during coronavirus disease 2019
(COVID-19) pandemic in South Africa: a
systematic review. Global Health Journal,
6(2), 102113.
https://doi.org/10.1016/j.glohj.2022.03.001
Padilla, E. A. (2019). Sentinel Event (1st ed.).
Bowker.
https://www.barnesandnoble.com/w/sentinel
-event-ea-padilla/1130681601
Pfeiffer, Y., Manser, T., & Wehner, T. (2010).
Conceptualising barriers to incident
reporting: a psychological framework. BMJ
Quality & Safety, 19(6), e60.
https://doi.org/10.1136/qshc.2008.030445
Pham, J. C., Girard, T., & Pronovost, P. J. (2013).
What to do with healthcare Incident
Reporting Systems. Journal of Public Health
Research, 2(3), 27.
https://doi.org/10.4081/jphr.2013.e27
Ramírez, E., Martín, A., Villán, Y., Lorente, M.,
Ojeda, J., Moro, M., Vara, C., Avenza, M.,
Domingo, M. J., Alonso, P., Asensio, M. J.,
Blázquez, J. A., Hernández, R., Frías, J., &
Frank, A. (2018). Effectiveness and
limitations of an incident-reporting system
analyzed by local clinical safety leaders in a
tertiary hospital. Medicine, 97(38), e12509.
https://doi.org/10.1097/md.00000000000125
09
Safa, N. S., Solms, R. V., & Furnell, S. (2016).
Information security policy compliance
model in or-ganizations. Computers &
Security, 56, 7082.
https://doi.org/10.1016/j.cose.2015.10.006
Shearer, B., Marshall, S., Buist, M. D.,
Finnigan, M., Kitto, S., Hore, T., Sturgess, T.,
Wilson, S., & Ramsay, W. (2012). What
stops hospital clinical staff from following
protocols? An analysis of the incidence and
factors behind the failure of bedside clinical
staff to activate the rapid response system in
a multi-campus Australian metropolitan
healthcare service. BMJ Quality & Safety,
21(7), 569575.
https://doi.org/10.1136/bmjqs-2011-000692
Sherer, S. A. (2010). Information Systems and
Healthcare XXXIII: An Institutional Theory
Perspective on Physician Adoption of
Electronic Health Records. Communications
of the Association for Information Systems,
26(1), 127-140.
https://doi.org/10.17705/1cais.02607
Shi, W., Shambare, N., & Wang, J. (2008). The
adoption of internet banking: An institutional
theory perspective. Journal of Financial
Services Marketing, 12(4), 272-286.
https://doi.org/10.1057/palgrave.fsm.476008
1
Shin, D., & Biocca, F. (2018). Impact of Social
Influence and Users’ Perception of Coolness
on Smartwatch Behavior. Social Behavior
and Personality: An International Journal,
46(6), 881890.
https://doi.org/10.2224/sbp.5134
Singh, A., Singh, H. P., Alam, F., & Agrawal, V.
(2022a). Role of Education, Training, and E-
Learning in Sustainable Employment
Generation and Social Empowerment in
Saudi Arabia. Sustainability, 14(14), 8822.
https://doi.org/10.3390/su14148822
Singh, H. P., & Alshammari, K. (2021). Impacts
of Digital Technology-Enabled Personalized
and Adaptive Learning on Student Learning
Performance: A TOE Framework for Saudi
Arabia. International Transaction Journal of
Engineering, Management, & Applied
Sciences & Technologies, 12(13), 112.
https://doi.org/10.14456/ITJEMAST.2021.2
62
Singh, H. P., & Alshammari, T. S. (2020). An
Institutional Theory Perspective on
Developing a Cyber Security Legal
Framework: A Case of Saudi Arabia. Beijing
Law Review, 11(03), 637650.
https://doi.org/10.4236/blr.2020.113039
Singh, H., Singh, A., Alam, F., & Agrawal, V.
(2022b). Impact of Sustainable Development
Goals on Economic Growth in Saudi Arabia:
Role of Education and Training.
Sustainability, 14(21), 14119.
https://doi.org/10.3390/su142114119
Singh, H.P. & Alhamad, I. A. (2021).
Deciphering Key Factors Impacting Online
Hotel Ratings Through the Lens of Two-
Factor Theory: A Case of Hotels in Makkah
City of Saudi Arabia. International
Transaction Journal of Engineering,
Management, & Applied Sciences &
Technologies, 12(8), 12A8M, 1-12.
https://doi.org/10.14456/ITJEMAST.2021.1
60
Stavropoulou, C., Doherty, C., & Tosey, P.
(2015). How Effective Are Incident-
Reporting Systems for Improving Patient
Safety? A Systematic Literature Review. The
Milbank Quarterly, 93(4), 826866.
https://doi.org/10.1111/1468-0009.12166
38
www.amazoniainvestiga.info ISSN 2322- 6307
Teo, H. H., Wei, K. K., & Benbasat, I. (2003).
Predicting Intention to Adopt Inter-
organizational Linkages: An Institutional
Perspective. MIS Quarterly, 27(1), 19-50.
https://doi.org/10.2307/30036518
Tortorella, G. L., Saurin, T. A., Fogliatto, F. S.,
Rosa, V. M., Tonetto, L. M., & Magrabi, F.
(2021). Impacts of Healthcare 4.0 digital
technologies on the resilience of hospitals.
Technological Forecasting and Social
Change, 166, 120666.
https://doi.org/10.1016/j.techfore.2021.1206
66
Ubogagu-Israel, E., Kolandaisamy, A., &
Abubaker, M. (2022). Using Datix Electronic
Incident Reporting System to Develop a
Palliative and End-of-Life Care Patient-
Centered Auditing, Quality Assessment and
Reporting System. Palliative Medicine and
Hospice Care Open Journal, 8(1), 814.
https://doi.org/10.17140/pmhcoj-8-145
Ugrin, J. C. (2009). The Effect of System
Characteristics, Stage of Adoption, and
Experience on Institutional Explanations for
ERP Systems Choice. Accounting Horizons,
23(4), 365-389.
https://doi.org/10.2308/acch.2009.23.4.365
Uyob, R. (2020). Application of Technology
Acceptance Model (TAM) in predicting user
intention to use Malaysian Business
Reporting System (MBRS): A Conceptual
Paper. International Journal of Business and
Management, 4(4), 2130.
https://doi.org/10.26666/rmp.ijbm.2020.4.4
Venkatesh, V., Morris, M. G., Davis, G. B., &
Davis, F. D. (2003). User Acceptance of
Information Technology: Toward a Unified
View. MIS Quarterly, 27(3), 425.
https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J., & Xu, X. (2016).
Unified Theory of Acceptance and Use of
Technology: A Synthesis and the Road
Ahead. Journal of the Association for
Information Systems, 17(5), 328376.
https://doi.org/10.17705/1jais.00428
Viswanadham, N. (2021). Ecosystem model for
healthcare platform. in Sadhana [Sādhanā],
46(4). https://doi.org/10.1007/s12046-021-
01708-y
Walsh, K., Burns, C., & Antony, J. (2010).
Electronic adverse incident reporting in
hospitals. Leadership in Health Services,
23(4), 292303.
https://doi.org/10.1108/17511871011079047
Wang, Q., Su, M., Zhang, M., & Li, R. (2021).
Integrating Digital Technologies and Public
Health to Fight Covid-19 Pandemic: Key
Technologies, Applications, Challenges and
Outlook of Digital Healthcare. International
Journal of Environmental Research and
Public Health, 18(11), 6053.
https://doi.org/10.3390/ijerph18116053
WHO. (2019, December 11). International health
regulations. Centre for Disease Prevention
and Control. Retrieved April 15, 2022, from
https://www.who.int/health-
topics/international-health-
regulations#tab=tab_1
Winkler, B. (2000, August). Which Kind of
Transparency? On the Need for Clarity in
Monetary Policy-Making (Working paper
No. 26). European Central Bank website.
https://ssrn.com/abstract=355587
Wu, J. H., Shen, W. S., Lin, L. M., Greenes, R.
A., & Bates, D. W. (2007). Testing the
technology acceptance model for evaluating
healthcare professionals’ intention to use an
adverse event reporting system. International
Journal for Quality in Health Care, 20(2),
123129.
https://doi.org/10.1093/intqhc/mzm074