ITECH1100 Assignment: Exploring IoT's Impact on the Surgery Field
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This report delves into the transformative impact of the Internet of Things (IoT) on the field of surgery, examining how technology is revolutionizing healthcare practices. The analysis covers various aspects, including the use of IoT in improving patient care, enhancing surgical precision through robotics, and facilitating data analysis for better decision-making. The report highlights the benefits of IoT in surgery, such as reduced costs, improved accuracy, and real-time patient monitoring, while also acknowledging potential shortcomings. It discusses how IoT enables remote patient monitoring, the use of AI-powered tools for diagnosis, and the integration of medical devices for better coordination. Furthermore, the report explores emerging technologies like BI bots and NLP in the context of business intelligence, emphasizing how these tools can streamline data analysis and improve efficiency in healthcare operations. The document also touches upon the role of data visualization in business intelligence, highlighting tools like Sisense and Looker, and the impact of these technologies on business transformation. The report provides a comprehensive overview of how technological advancements are shaping the future of surgery and healthcare, emphasizing the importance of adapting to these changes for continued growth and development in the industry.

Abstract
Technology changes have really led to business impact in all aspects. Positively, the work has been
made easier mostly in terms of analyzing the data and understanding the needs and also changes
that should be made in business accordingly. Technology has brought much more in today's
businesses and such impacts are directly felt. Negatively, the data compromisations might lead to
huge losses and destruction of the goals and ambitions of the business. Security should be ensured
hence the prosperity of the business is also assured. (Richards, Yeoh, Chong & Popovič, 2019).
Introduction
Data visualization is a very important aspect of the entire business intelligence dynamic. It is simply
a pictorial representation of a given set of data representing a specific business plan. These are
applications used to analyze and predict the data. In our case, we will have a look at a few such
software commonly used to analyze the data. Managers of the business use this software to make
decisions on operation management of the business and also, more importantly, help keep the
company records. By use of all this, the managers can make decisions on the business considering
factors which have a positive impact on the business only and also changes will be made
appropriately. We have special software which analyzes these processes and gives out the analysis
with representations of charts, graphs, maps, etc. New aspects and hidden patterns will be detected
with the help of this visualizations. In business, there are some data that cannot be just analyzed
using simple techniques yet they are very important in business transformations. Sisense is a tool
used in data analysis for the visualization of business information. The analysis made will let the
managers or business owners make quick decisions on their businesses. (Popovič, Puklavec, &
Oliveira, 2019).
Technology changes have really led to business impact in all aspects. Positively, the work has been
made easier mostly in terms of analyzing the data and understanding the needs and also changes
that should be made in business accordingly. Technology has brought much more in today's
businesses and such impacts are directly felt. Negatively, the data compromisations might lead to
huge losses and destruction of the goals and ambitions of the business. Security should be ensured
hence the prosperity of the business is also assured. (Richards, Yeoh, Chong & Popovič, 2019).
Introduction
Data visualization is a very important aspect of the entire business intelligence dynamic. It is simply
a pictorial representation of a given set of data representing a specific business plan. These are
applications used to analyze and predict the data. In our case, we will have a look at a few such
software commonly used to analyze the data. Managers of the business use this software to make
decisions on operation management of the business and also, more importantly, help keep the
company records. By use of all this, the managers can make decisions on the business considering
factors which have a positive impact on the business only and also changes will be made
appropriately. We have special software which analyzes these processes and gives out the analysis
with representations of charts, graphs, maps, etc. New aspects and hidden patterns will be detected
with the help of this visualizations. In business, there are some data that cannot be just analyzed
using simple techniques yet they are very important in business transformations. Sisense is a tool
used in data analysis for the visualization of business information. The analysis made will let the
managers or business owners make quick decisions on their businesses. (Popovič, Puklavec, &
Oliveira, 2019).
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Business Industry
Technology has really led to tremendous changes in the business industry. Inventors in IT has really
turned their inventions to affect businesses because this will make them earn some money and by
doing so they get resources for new inventions. The business industry has now been affected the
most by the changes in technology (Popovič, Puklavec, & Oliveira, 2019).
How technology is disrupting the business industry
1) Constant automation
Due to improvements and changes in technology, there has been constant automation of the
business, especially in digital marketing. Business nowadays has adopted B2B marketing which has
really lead to the success of the business. Technology has really lead to big improvements in digital
marketing (Popovič, Puklavec, & Oliveira, 2019).
2) Management
Management has changed with technology. The way managers or CEO's manages there companies
or business has really been impacted by the technology. Managers and CEO's must understand the
data analysis and also they should have an understanding of digital marketing to facilitate the
promotion of their products. Nowadays it is about managers and CEO with technology skills
(Richards, Yeoh, Chong & Popovič, 2019).
3) Digital currency
Technology has really changed how the payments are made nowadays. More business and
companies use e-commerce and there they have shifted into the electronic payments. By using e-
commerce, they can sell their products to customers in any geographical locations. Electronic
payments are trusted mode of payments and they have really affected people who can't access
technology but on the other hand, it has brought security in businesses (Isazad Mashinchi, Ojo, &
Sullivan, 2019, January).
Factors or constraints that make distribution impacts possible or impossible to occur
1) Cloud computing and mobile has really promoted the automation of applications and also
constant changes in marketing. Big data can be analyzed and processed by well-designed software
then they can be stored in the clouds. The data can be referred to in future or retrieved in-case of
any loss. Mobile also has revolutionized digital marketing since marketers can now do so using
their mobile phones (Isazad Mashinchi, Ojo, & Sullivan, 2019, January).
2) Distributions have also been caused by big data analysis, internet of things, etc. Due to changes
in business approaches business have to employ the use of data analysis to analyze their data by use
of data visualization techniques. IoT also has brought some changes where robots are now used to
move some products inside the industry or even transport than to the customers (Anderson, C.
2019).
3) Cybersecurity is also another major factor. Hackers always try to account business accounts
especially digital electronic payments services. Hackers always target where the money is and
because digital payment is encouraged by many businesses then there are also security issues. This
can, therefore, be overcome by employing cybersecurity experts to handle these issues (Anderson,
C. 2019).
Technology has really led to tremendous changes in the business industry. Inventors in IT has really
turned their inventions to affect businesses because this will make them earn some money and by
doing so they get resources for new inventions. The business industry has now been affected the
most by the changes in technology (Popovič, Puklavec, & Oliveira, 2019).
How technology is disrupting the business industry
1) Constant automation
Due to improvements and changes in technology, there has been constant automation of the
business, especially in digital marketing. Business nowadays has adopted B2B marketing which has
really lead to the success of the business. Technology has really lead to big improvements in digital
marketing (Popovič, Puklavec, & Oliveira, 2019).
2) Management
Management has changed with technology. The way managers or CEO's manages there companies
or business has really been impacted by the technology. Managers and CEO's must understand the
data analysis and also they should have an understanding of digital marketing to facilitate the
promotion of their products. Nowadays it is about managers and CEO with technology skills
(Richards, Yeoh, Chong & Popovič, 2019).
3) Digital currency
Technology has really changed how the payments are made nowadays. More business and
companies use e-commerce and there they have shifted into the electronic payments. By using e-
commerce, they can sell their products to customers in any geographical locations. Electronic
payments are trusted mode of payments and they have really affected people who can't access
technology but on the other hand, it has brought security in businesses (Isazad Mashinchi, Ojo, &
Sullivan, 2019, January).
Factors or constraints that make distribution impacts possible or impossible to occur
1) Cloud computing and mobile has really promoted the automation of applications and also
constant changes in marketing. Big data can be analyzed and processed by well-designed software
then they can be stored in the clouds. The data can be referred to in future or retrieved in-case of
any loss. Mobile also has revolutionized digital marketing since marketers can now do so using
their mobile phones (Isazad Mashinchi, Ojo, & Sullivan, 2019, January).
2) Distributions have also been caused by big data analysis, internet of things, etc. Due to changes
in business approaches business have to employ the use of data analysis to analyze their data by use
of data visualization techniques. IoT also has brought some changes where robots are now used to
move some products inside the industry or even transport than to the customers (Anderson, C.
2019).
3) Cybersecurity is also another major factor. Hackers always try to account business accounts
especially digital electronic payments services. Hackers always target where the money is and
because digital payment is encouraged by many businesses then there are also security issues. This
can, therefore, be overcome by employing cybersecurity experts to handle these issues (Anderson,
C. 2019).

4) Globalization is also another factor. Technology has made digital globalization to be more
suitable for business environments. An e-commerce website can be used by anyone around the
world. This also has made the business to produce high-quality products because they are consumed
globally (Popovič, Puklavec, & Oliveira, 2019).
The potential impact of Internet Of Things on Surgery
Internet of Things (IoT) has brought changes in the healthcare industry. In Surgery, the use of IoT
has been beneficial to both the patients and also the hospital's operations in general. Patient in the
theater needs a lot of care and attention. It has lower the cost, only two or three doctors can monitor
the patient conditions in the room and also it connects several medical devices and the doctors can
serve the patient by use of instructions. There is also a high level of accuracy when treating a
patient because IoT has improved the diagnosis of the patient. During the surgery, robots are used
because they are very accurate in the operations of the patient. Doctors will only control the process
carefully but the accuracy is assured. sometimes humans can make errors during operations hence
leading to deaths of the patients but by using IoT technology through robots then this level of
accuracy is increased and assured. Patients who have been operated needs a lot of attention hence
IoT will help administer medicine to the patient and specific intervals of time that was instructed to
do by the doctor. Treatment of the patient also will be very easy because medicine is administered at
the right time without failures because of forgetting. IoT technology has brought a positive impact
in the healthcare industry despite the factor that there are some shortcomings (Richards, Yeoh,
Chong & Popovič, 2019).
Data visualization
Data visualization is a very important aspect of the entire business intelligence dynamic. It is simply
a pictorial representation of a given set of data representing a specific business plan. We have
special software which analyzes these processes and gives out the analysis with representations of
charts, graphs, maps, etc. New aspects and hidden patterns will be detected with the help of this
visualizations. In business, there are some data that cannot be just analyzed using simple techniques
yet they are very important in business transformations. Business Intelligence plays a key role in
this process where we can compare the product demands of the customers using graphs and see if it
is possible in a drop of the demand in future or raise hence the supply of the product should be
changed accordingly. Software such as Sisense and Looker are among the software which can give
insight into the data analysis in details and represent them in charts, graphs, etc. Data visualization
has changed the business industry through technology such as business intelligence. The business
will, therefore, be transformed such that by use of the simple data you collect in your business then
you can predict the effects of introducing certain changes in your business hence this new
technology has led to positive impact to the business industry (Olszak, Goyal, & Zurada, 2019,
January).
suitable for business environments. An e-commerce website can be used by anyone around the
world. This also has made the business to produce high-quality products because they are consumed
globally (Popovič, Puklavec, & Oliveira, 2019).
The potential impact of Internet Of Things on Surgery
Internet of Things (IoT) has brought changes in the healthcare industry. In Surgery, the use of IoT
has been beneficial to both the patients and also the hospital's operations in general. Patient in the
theater needs a lot of care and attention. It has lower the cost, only two or three doctors can monitor
the patient conditions in the room and also it connects several medical devices and the doctors can
serve the patient by use of instructions. There is also a high level of accuracy when treating a
patient because IoT has improved the diagnosis of the patient. During the surgery, robots are used
because they are very accurate in the operations of the patient. Doctors will only control the process
carefully but the accuracy is assured. sometimes humans can make errors during operations hence
leading to deaths of the patients but by using IoT technology through robots then this level of
accuracy is increased and assured. Patients who have been operated needs a lot of attention hence
IoT will help administer medicine to the patient and specific intervals of time that was instructed to
do by the doctor. Treatment of the patient also will be very easy because medicine is administered at
the right time without failures because of forgetting. IoT technology has brought a positive impact
in the healthcare industry despite the factor that there are some shortcomings (Richards, Yeoh,
Chong & Popovič, 2019).
Data visualization
Data visualization is a very important aspect of the entire business intelligence dynamic. It is simply
a pictorial representation of a given set of data representing a specific business plan. We have
special software which analyzes these processes and gives out the analysis with representations of
charts, graphs, maps, etc. New aspects and hidden patterns will be detected with the help of this
visualizations. In business, there are some data that cannot be just analyzed using simple techniques
yet they are very important in business transformations. Business Intelligence plays a key role in
this process where we can compare the product demands of the customers using graphs and see if it
is possible in a drop of the demand in future or raise hence the supply of the product should be
changed accordingly. Software such as Sisense and Looker are among the software which can give
insight into the data analysis in details and represent them in charts, graphs, etc. Data visualization
has changed the business industry through technology such as business intelligence. The business
will, therefore, be transformed such that by use of the simple data you collect in your business then
you can predict the effects of introducing certain changes in your business hence this new
technology has led to positive impact to the business industry (Olszak, Goyal, & Zurada, 2019,
January).

Information system applications
These are applications used to analyze and predict the data. In our case, we will have a look at a few
such software commonly used to analyze the data. Managers of the business use this software to
make decisions on operation management of the business and also, more importantly, help keep the
company records. By use of all this, the managers can make decisions on the business considering
factors which have a positive impact on the business only and also changes will be made
appropriately. Technology has really helped facilitate these factors by the emergence of the special
software which can analyze data and give the interpretations of such data. Businesses have been
transformed by these factors hence it has really led to a positive impact in business despite the
shortcomings of the using them. By embracing the use of this technology in our day to day
businesses then we obviously expect the positive impacts on the growth and development of our
businesses (Popovič, Puklavec, & Oliveira, 2019).
Such software includes:
1) Sisense
Sisense is a tool used in data analysis for the visualization of business information. The analysis
made will let the managers or business owners make quick decisions on their businesses. This
software uses data collected to produce analysis in terms of graphical representations which is very
easy to analyze by a human through just seeing (Richards, Yeoh, Chong & Popovič, 2019).
These are applications used to analyze and predict the data. In our case, we will have a look at a few
such software commonly used to analyze the data. Managers of the business use this software to
make decisions on operation management of the business and also, more importantly, help keep the
company records. By use of all this, the managers can make decisions on the business considering
factors which have a positive impact on the business only and also changes will be made
appropriately. Technology has really helped facilitate these factors by the emergence of the special
software which can analyze data and give the interpretations of such data. Businesses have been
transformed by these factors hence it has really led to a positive impact in business despite the
shortcomings of the using them. By embracing the use of this technology in our day to day
businesses then we obviously expect the positive impacts on the growth and development of our
businesses (Popovič, Puklavec, & Oliveira, 2019).
Such software includes:
1) Sisense
Sisense is a tool used in data analysis for the visualization of business information. The analysis
made will let the managers or business owners make quick decisions on their businesses. This
software uses data collected to produce analysis in terms of graphical representations which is very
easy to analyze by a human through just seeing (Richards, Yeoh, Chong & Popovič, 2019).
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2) Looker
Looker is a data visualization software solution. It is widely used by small and large scale
businesses to make very important business decisions through data analysis of such businesses. It
utilizes a powerful business intelligence platform which in turns lets the users make use of SQL to
organize unstructured data. Also, it can be used in data modeling. Users can generate reports
instantly (Hill, Al-Aqrabi, Lane, & Aagela, 2019, January).
Emerging Technologies in Business Intelligence
Businesses nowadays need to change with technology and mostly they should not be left behind
because it will greatly have a negative impact on their progress. In many cases, the managers and
the business owners are not great or they don't have any knowledge in data analysis, therefore, the
experts must be hired in any capacity. Experts to handle this big data analysis handle the heart of the
business since they have all the data of the business which can transform a business when the
analysis is well interpreted and implemented. Normally when starting a business, we expect the
business to grow bigger and bigger beyond our expectations. It will only grow if the business
environment is well analyzed and the correct interpretations are made. Business success is making
the right decisions (Herschel, R. 2019).
Emerging trends are business intelligence (BI) chatbots and Natural language processing(NLP):
1) BI bots
BI bots is an emerging issue which makes the data analysis to be simple and very convincing. There
are benefits of using this BI bots:
a) Real-time alerts
BI bots send updates of the data analysis to the user and updates. It personalizes the alerts and sends
them at a specific time to specific departments, locations, and role. It gives updates at the
appropriate time always (Hill, Al-Aqrabi, Lane, & Aagela, 2019, January).
b) Security
In all the circumstances, security is a must factor in all our daily life's. The chatbot will help secure
the business data from external attacks. They secured data by using features such as authentication,
authorizations, encryption, and access controls. Data security should be ensured before anything
else for the growth and development of the business (Anderson, C. 2019).
Looker is a data visualization software solution. It is widely used by small and large scale
businesses to make very important business decisions through data analysis of such businesses. It
utilizes a powerful business intelligence platform which in turns lets the users make use of SQL to
organize unstructured data. Also, it can be used in data modeling. Users can generate reports
instantly (Hill, Al-Aqrabi, Lane, & Aagela, 2019, January).
Emerging Technologies in Business Intelligence
Businesses nowadays need to change with technology and mostly they should not be left behind
because it will greatly have a negative impact on their progress. In many cases, the managers and
the business owners are not great or they don't have any knowledge in data analysis, therefore, the
experts must be hired in any capacity. Experts to handle this big data analysis handle the heart of the
business since they have all the data of the business which can transform a business when the
analysis is well interpreted and implemented. Normally when starting a business, we expect the
business to grow bigger and bigger beyond our expectations. It will only grow if the business
environment is well analyzed and the correct interpretations are made. Business success is making
the right decisions (Herschel, R. 2019).
Emerging trends are business intelligence (BI) chatbots and Natural language processing(NLP):
1) BI bots
BI bots is an emerging issue which makes the data analysis to be simple and very convincing. There
are benefits of using this BI bots:
a) Real-time alerts
BI bots send updates of the data analysis to the user and updates. It personalizes the alerts and sends
them at a specific time to specific departments, locations, and role. It gives updates at the
appropriate time always (Hill, Al-Aqrabi, Lane, & Aagela, 2019, January).
b) Security
In all the circumstances, security is a must factor in all our daily life's. The chatbot will help secure
the business data from external attacks. They secured data by using features such as authentication,
authorizations, encryption, and access controls. Data security should be ensured before anything
else for the growth and development of the business (Anderson, C. 2019).

c) Integration and Collaborations
The chatbot can integrate the BI bots tools with other applications such as ERP, CRM, etc for extra
features and support. This integration will help bring new factors and also great the sense of
improvement on the BI bots. Collaborations will then help BI bot to share data with other users by
mainly using emails and messages. This trend has really made the business very easy to handle and
also the services delivery are more efficient (Vidal-García, Vidal, & Barros, 2019).
2) Natural language processing (NLP)
NLP is a branch of artificial intelligence. This technology is used to interpret, analyze and process
the user's requests in the form of understandable human language which can be easily understood.
The use of code such SQL or .NET here is eliminated hence you can just use normal English to
obtain the results. By the help of the chatbots, they are used in customer support conversations
hence the interaction will be easy and very reliable (Anderson, C. 2019).
Technology changes have really led to business impact in all aspects. Positively, the work has been
made easier mostly in terms of analyzing the data and understanding the needs and also changes
that should be made in business accordingly. Technology has brought much more in today's
businesses and such impacts are directly felt. Negatively, the data compromisations might lead to
huge losses and destruction of the goals and ambitions of the business. Security should be ensured
hence the prosperity of the business is also assured (Isazad Mashinchi, Ojo, & Sullivan, 2019,
January).
The chatbot can integrate the BI bots tools with other applications such as ERP, CRM, etc for extra
features and support. This integration will help bring new factors and also great the sense of
improvement on the BI bots. Collaborations will then help BI bot to share data with other users by
mainly using emails and messages. This trend has really made the business very easy to handle and
also the services delivery are more efficient (Vidal-García, Vidal, & Barros, 2019).
2) Natural language processing (NLP)
NLP is a branch of artificial intelligence. This technology is used to interpret, analyze and process
the user's requests in the form of understandable human language which can be easily understood.
The use of code such SQL or .NET here is eliminated hence you can just use normal English to
obtain the results. By the help of the chatbots, they are used in customer support conversations
hence the interaction will be easy and very reliable (Anderson, C. 2019).
Technology changes have really led to business impact in all aspects. Positively, the work has been
made easier mostly in terms of analyzing the data and understanding the needs and also changes
that should be made in business accordingly. Technology has brought much more in today's
businesses and such impacts are directly felt. Negatively, the data compromisations might lead to
huge losses and destruction of the goals and ambitions of the business. Security should be ensured
hence the prosperity of the business is also assured (Isazad Mashinchi, Ojo, & Sullivan, 2019,
January).

Conclusions
Businesses nowadays need to change with technology and mostly they should not be left behind
because it will greatly have a negative impact on their progress. In many cases, the managers and
the business owners are not great or they don't have any knowledge in data analysis, therefore, the
experts must be hired in any capacity. Experts to handle this big data analysis handle the heart of the
business since they have all the data of the business which can transform a business when the
analysis is well interpreted and implemented. Normally when starting a business, we expect the
business to grow bigger and bigger beyond our expectations. It will only grow if the business
environment is well analyzed and the correct interpretations are made. Business success is making
the right decisions (Isazad Mashinchi, Ojo, & Sullivan, 2019, January).
Businesses nowadays need to change with technology and mostly they should not be left behind
because it will greatly have a negative impact on their progress. In many cases, the managers and
the business owners are not great or they don't have any knowledge in data analysis, therefore, the
experts must be hired in any capacity. Experts to handle this big data analysis handle the heart of the
business since they have all the data of the business which can transform a business when the
analysis is well interpreted and implemented. Normally when starting a business, we expect the
business to grow bigger and bigger beyond our expectations. It will only grow if the business
environment is well analyzed and the correct interpretations are made. Business success is making
the right decisions (Isazad Mashinchi, Ojo, & Sullivan, 2019, January).
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Reference
Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2019). Business intelligence
effectiveness and corporate performance management: an empirical analysis. Journal of
Computer Information Systems, 59(2), 188-196.
Hill, G., Al-Aqrabi, H., Lane, P., & Aagela, H. (2019, January). Securing Manufacturing
Business Intelligence for the Industrial Internet of Things. In Fourth International Congress
on Information and Communication Technology (p. 174). Springer Verlag.
Popovič, A., Puklavec, B., & Oliveira, T. (2019). Justifying business intelligence systems
adoption in SMEs: Impact of systems use on firm performance. Industrial Management &
Data Systems, 119(1), 210-228.
Isazad Mashinchi, M., Ojo, A., & Sullivan, F. J. (2019, January). Analysis of Business
Intelligence Applications in Healthcare Organizations. In Proceedings of the 52nd Hawaii
International Conference on System Sciences.
Anderson, C. (2019). Business Intelligence. In Data Science in Practice (pp. 97-118).
Springer, Cham.
Vidal-García, J., Vidal, M., & Barros, R. H. (2019). Computational business intelligence, big
data, and their role in business decisions in the age of the internet of things. In Web Services:
Concepts, Methodologies, Tools, and Applications (pp. 1048-1067). IGI Global.
Herschel, R. T. (2019). Business Intelligence. In Advanced Methodologies and Technologies
in Business Operations and Management (pp. 578-588). IGI Global.
Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2019). Business intelligence
effectiveness and corporate performance management: an empirical analysis. Journal of
Computer Information Systems, 59(2), 188-196.
Hill, G., Al-Aqrabi, H., Lane, P., & Aagela, H. (2019, January). Securing Manufacturing
Business Intelligence for the Industrial Internet of Things. In Fourth International Congress
on Information and Communication Technology (p. 174). Springer Verlag.
Popovič, A., Puklavec, B., & Oliveira, T. (2019). Justifying business intelligence systems
adoption in SMEs: Impact of systems use on firm performance. Industrial Management &
Data Systems, 119(1), 210-228.
Isazad Mashinchi, M., Ojo, A., & Sullivan, F. J. (2019, January). Analysis of Business
Intelligence Applications in Healthcare Organizations. In Proceedings of the 52nd Hawaii
International Conference on System Sciences.
Anderson, C. (2019). Business Intelligence. In Data Science in Practice (pp. 97-118).
Springer, Cham.
Vidal-García, J., Vidal, M., & Barros, R. H. (2019). Computational business intelligence, big
data, and their role in business decisions in the age of the internet of things. In Web Services:
Concepts, Methodologies, Tools, and Applications (pp. 1048-1067). IGI Global.
Herschel, R. T. (2019). Business Intelligence. In Advanced Methodologies and Technologies
in Business Operations and Management (pp. 578-588). IGI Global.

Olszak, C., Goyal, S., & Zurada, J. (2019, January). Introduction to the Minitrack on
Business Intelligence and Big Data for Innovative and Sustainable Development of
Organizations. In Proceedings of the 52nd Hawaii International Conference on System
Sciences.
Business Intelligence and Big Data for Innovative and Sustainable Development of
Organizations. In Proceedings of the 52nd Hawaii International Conference on System
Sciences.
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