Comprehensive Analysis of Business Information System Case Studies

This document comprises five case studies exploring various aspects of business information systems. The first case study examines system dynamics in corporate business model innovation, focusing on decision support systems and their role in enhancing managerial understanding. The second case study delves into sports analytics, utilizing knowledge management systems to classify game types and improve decision-making. The third case study analyzes Project ECHO, a web-based practice model designed to expand primary care capacity in underserved areas, emphasizing the use of technology and collaboration environments. The fourth case study investigates the impact of big data analytics on firms' high-value business performance, highlighting the role of management information systems and customer relationship management. The final case study presents a decision support system for improved resource planning and truck routing at logistic nodes, emphasizing efficiency gains. Each case study includes questions and answers, offering a comprehensive analysis of the topics.

Running head: INFORMATION SYSTEM
Business Information System
Name of the Student
Name of the University
Author’s Note

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Table of Contents
Case study 1: System dynamic for corporate business model innovations................................2
Question 1..............................................................................................................................2
Question 2..............................................................................................................................2
Question 3..............................................................................................................................3
Case study 2: Sports Analytics...................................................................................................4
Question 1..............................................................................................................................4
Question 2..............................................................................................................................4
Question 3..............................................................................................................................5
Case study 3: Project ECHO......................................................................................................5
Question 1..............................................................................................................................5
Question 2..............................................................................................................................6
Question 3..............................................................................................................................7
Case study 4: The impact of big data analytics..........................................................................7
Question 1..............................................................................................................................7
Question 2..............................................................................................................................8
Question 3..............................................................................................................................8
Case Study 5: A decision support system for improved resource planning...............................9
Question 1..............................................................................................................................9
Question 2..............................................................................................................................9
Question 3............................................................................................................................10
References................................................................................................................................11

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Case study 1: System dynamic for corporate business model innovations
Question 1
This case study is centralized on the area of system dynamics in the case of business
model innovation. The business model innovation is mentioned as an approach by which few
additional requirements are integrated within the business models to achieve a competitive
edge (Sauter). The system dynamic is deliberated as a style which helps to enhance the
understanding process as well as decision making process of top managers. The BMI induces
some major challenges for the managers who depend on unfinished cognitive representations
while introducing environmental dynamics in business model performance.
In that case, the system dynamic depends on the decision support system. This system
offers computerized programs in order to support in the decision making process of top
managers (Fernandes, Pedro and Paulo). The managers can easily analyze information by
gathering these and create a comprehensive report which supports the decision making
process. Moreover, this support system allows the improvement of efficiency of business
planning and management. To create a competitive edge in the business world, the business
model needs some innovations in which the managers spend their most of timings for
thinking the simplified cognitive representations and the overall components of these
simplified models make a complexity in their decision making process (Kar). But the
decision support system allows a guidance to the managers by delivering computerized
programs of collective information which helps to improve the efficiency of business
management.
Question 2
Based on business model innovation, the decision making is an indispensable part for
the managers and in this phase, they depends on the unfinished cognitive representations for

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innovative business models. For creating a competitive business environment, the business
model innovation approach is necessary and to make such innovative models in businesses,
the decision making process is required in intelligence stage in which the ideas of business
innovations are created by top managers (Tian and Sean). However, to make innovative
models, the managers utilize such simplified cognitive representations in the intelligence
stage. If the managers think that these representations are correct for business innovations
after analysing collective information, therefore they conduct their decision making process
which is inspired by system dynamic approach.
According to this context, the decision making process takes place through such steps
in business model innovations. The first step is setting in which it has been discussed what
the actual innovative ideas take place (Leon). Based on these ideas, the data are sampled and
also collected which is a part of decision support system and after that, all of the data are
analysed through communication or official meetings and also working sessions. In addition
to this, this support system helps to improve the efficiency of business models and increase
competitiveness.
Question 3
Usually, business model innovation takes place for supporting customers’
requirements and for that, the system dynamic is an essential approach which helps to
enhance managerial decision making process. Though this case study does not address any
CRM system but depending on the assumptions of the organizational situation, the decision
support system interconnects with CRM system. However, the decision support system helps
to provide decisions for innovative business models which is indirectly connected with the
customer relationship management as innovations attract more customers and deliver better
services or products to the customers.

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Case study 2: Sports Analytics
Question 1
This case study is executed on the subject of sport analytics. The actual motive of this
context is to classify different play types of National Football League. In this case, the
knowledge management system is utilized to classify the game types respecting with their
collective factors (Taft et al). This system passes through few segments and a number of
steps including collecting, organizing, summarizing, analysing, synthesizing and also
decision making. The three segments include that this knowledge management system
collects lots of data for making them accurate information based on such games and after
analysing process, those information can be converted into knowledge.
Comparing with the context, the new knowledge or data are collected for classify the
game types. After that, a number of intelligent tools are applied in the transformation process
of data into knowledge or information. If the data mining process is properly utilized,
therefore the knowledge management tools are applied for strong decision making regarding
the factors about their relevancy. In that case, the sport managers act as a decision makers
who are involved in the processing of obtaining as well as analysing and also utilizing data
within the knowledge management system.
Question 2
In this context, the decision making process is an important section for selecting the
vital factors or knowledge regarding the type of games. The sport managers play as the role
of decision makers who take all of the decisions with respect to factors relating game types
(Balusamy and P). According to this knowledge management system, the decision making
process takes place in the implementation phase. However, after analysing all of the related
information, it needs to synthesize for converting them into knowledge and at this situation

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the decision making process takes place to rectify the knowledge for particular such games
depending on their types.
In this section, the knowledge management system helps to improve the
organizational agility as well as to solve all of the problems faster. This management system
also allows to take better decision making process and also improve the business processes.
Question 3
Based on this context, the knowledge management system interconnects with the
decision support system. However, the sport analytics is based on the knowledge
management system (Laudon and Jane Price). Here, this case study does not address any
system of decision support system but according to assumptions, the knowledge management
system can be interconnected with decision support system because within KMS, the decision
making process takes place at the time of publishing knowledge on different game types. The
decision support system helps to provide a guidance to the sport managers for giving
decisions. At the last phase of knowledge management system, the knowledge are utilized for
the decision making process. This method speeds up estimation process and also integrates
high accuracy of knowledge relating with game type.
Case study 3: Project ECHO
Question 1
This case study is depended on project ECHO which is a web based practice model
which is required to detect the tremendous requirement for the hepatitis C and provide at least
primary care to the medically underdeveloped areas (Shiau, Shu-Yi and Yu-Cheng). The
project ECHO has four different categorised activities that are has to be done by the ECHO
institute. The activities include utilization of technology to the resources as well as
collaborate with lower transaction costs, sharing of best practices for decreasing disparities,

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provide the proper training to the employees so that they can solve the complexity and also
monitor the outcomes for measuring the values.
In that case, the collaboration environments are necessary and acts as an information
system. In this system, it includes some of the IT related tools by which the project ECHO
can provide to the providers proper training so that they can give the treatment to the complex
diseases (Rainer, Brad and Hugh J). Moreover, it uses the technology for the resources or
information so that the treatment providers can provide the proper primary care efficiently as
well as effectively. Also, this project tries to provide the primary care with lower costs and
for handling transaction processes, the transaction processing system is necessary. This
system helps to handle all of the transaction issues and supports the transaction services by
involving hardware as well as software.
Question 2
According to this case study, the design making process takes place in the designing
phase (Bodin). However, the case study is executed on the project ECHO and this project
delivers such important techniques to the treatment providers so that they can deliver the best
primary care to the medically underdeveloped areas. The scope of the project is the utilization
of the technologies for providing proper training to the primary care providers for delivering
the appropriate treatment to the medically underdeveloped areas with low amount of costs.
For that, the design phase is the appropriate phase in which the project decides which
technology can be used in this project and how can be provided the training to the primary
care providers so that they can provide the treatment to the ill persons (Margerum and
Catherine J). Moreover, in the implementation phase, they have decided the utilization of
transaction processing system is necessary for handling transaction related problems.

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Question 3
As comparing with the case study, the major part of information system role is played
by collaboration environments. However, the ECHO institute collaborates with New Mexico
for addressing the utmost requirement for the hepatitis C and also provide the treatment to the
medically underdeveloped areas (Koontz and Craig W.). For that, the ECHO institute uses the
collaboration environments system with New Mexico for finishing this project. The project
includes the utilization of the technology to the resources or in the case of providing trainings
to the treatment providers so that they can give the exact treatment to the persons. Here, as
per the case study, the collaborative environments interconnects with the transaction
processing system because the project delivers the treatment to the underdeveloped areas
persons with lower costs (Bajdor and Iwona). For managing the transaction related issues, the
system is necessary and provide all type of transaction supports services and also it provides
a system by which the persons can interact with the treatment with lower costs.
Case study 4: The impact of big data analytics
Question 1
The fourth case study hangs on the big data analytics which is considered as a vital
phenomenon for transforming the firms at the high level of the performance. This big data
analytics helps to enhance the organization with the high value of business performance. The
impact of this big data is mainly reflects on the manufacturing sectors for getting effective
value in the operations management (Spiegel et al). With associating with this case study, the
management information system involves in this scenario. This system is mainly used for the
decision making as well as coordination and also controlling of the information within the
organization. By using this system, it helps to test the processes or technologies related with
the organization for enhancing the business value.

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This system helps to organize the information of each department in such a way so
that it can produce a report on the operations management which is too much effective for
enhancing its value. This information system also includes the quality enhancement as well as
measure the business process monitoring (Li et al). Moreover, in that case, the customer
relationship management is also involved because to improve the organizational
performance, it requires to keep good relation with the customers. However, the customers
are considered as an important asset for the organization.
Question 2
In this case, the decision making process takes place in the implementation phase.
However, the management information system and also customer relationship management
both are attached with the implementation phase. Therefore, in this phase, the decisions are
made in such a way so that these can be effective for the operations management (Fang et al).
With the help of the correct decisions, it can be improved the operational performance of the
organizations by enhancing the quality as well as increment of the customer relationship or
managing of the organizational risks and also enhance the operational efficiency.
Moreover, the decisions are also important for the customer relationship management
because if the correct decisions are made for the organizational operations, therefore it helps
keep the strong bonding with the customers.
Question 3
In this context, the management information system interconnects with the customer
relationship management for improving the operational efficiency of the organization
(Khodakarami and Yolande). However, the MIS system helps to manage the information for
managing the employees as well as processes and also technologies of the organization to
improve the performance. Based on this context, the big data analytics includes this

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management information system for increasing organizational efficiency. Moreover, in this
case, the customer relationship management is also involved to keep the good bonding with
the customers. By using this system, it involves the data analysis for improving the business
relationships with the consumers so that it can help to enhance the organizational efficiency.
Case Study 5: A decision support system for improved resource planning
Question 1
This case study is implemented on the decision support system to improve the
resource planning. According to this case study, the decision support system is too much
effective which helps to provide the predictive analytics to the logistics nodes (Choudhury,
Musfiq, and Paul). The logistics nodes are considered as the container terminals as well as
container depots which have faced workloads issues due to arriving a large number of trucks
almost at the same time. For that, the truck companies suffer several waiting times. In that
case, the decision support system introduces a proposed system which gives the forecasted
arrival rating information to the trucks to the logistics nodes. In this case, twofold type
decision support system involves for increasing the efficiency process to the logistics nodes
as well as truck companies. Moreover, iLoads system provides lots of information for taking
effective decisions to increase the logistics nodes. Moreover, the enterprise resource planning
is also essential tool in the information system to improve the planning for the internal
resource or controlling to the truck companies.
Question 2
In this case, the decision making takes place in the implementation phase. This
support system helps in this case for increasing the logistics nodes and reduce the waiting
time for the truck companies. The decision support system is considered as a tool for the
operation manager to provide the forecasting information to the truck companies for arriving

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at the correct timing. In this case, the truck companies have faced lots of issues regarding a
large number of workloads and also waiting times for the trucks because there is no
availability in logistics nodes (Bhat, Suhail and Mushtaq). Therefore, the correct decisions
may reduce these problems and increase the efficiency of the truck companies.
Question 3
According to this case scenario, the decision support system interconnects with the
enterprise resource planning for reducing the current issues are faced by truck companies. In
the terminal due to internal issues as well as external factor such as weather, the trucks are
not arrived at the proper timing. For that, the truck companies have faced a problem
regarding the waiting times. Having a huge number of workloads, the companies have
concerned with this issue. For that, the decision support system acts as a tool which helps to
provide the accurate information to the truck companies to the arrival rating information.
Moreover, the enterprise resource planning is also a tool which helps to manage the
workload by inducing the resources including trucks as well as drivers. With the help of
effective resource planning, it helps to reduce the waiting times of the trucks by increasing
the punctuality. For that, that the logistics nodes are available for the trucks within the peak
hours. As a result, some of the logistics nodes provide the arrival information of the trucks to
the customers and it helps to keep good relation with customers.