Download GTU MBA 2018 Winter 1st Sem 1519307 Information Technology And Global Business Question Paper

Download GTU (Gujarat Technological University) MBA (Master of Business Administration) 2018 Winter 1st Sem 1519307 Information Technology And Global Business Previous Question Paper

Page 1 of 3


Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY
MBA(International Business) ? SEMESTER 1 ? EXAMINATION ? WINTER 2018

Subject Code: 1519307 Date:01/01/2019
Subject Name: Information Technology and Global Business
Time: 10:30 am To 01:30 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.


Q.1 Definitions
(a) Hadoop
(b) On demand CRM
(c) Text Mining
(d) Inventory Velocity
(e) The Bullwhip Effect
(f) Schema
(g) Software localization
14
Q.2 (a)
Is IT a Strategic weapon or a survival tool for Global business? discuss

07
(b) What major factors are driving the internationalization of
business? Explain the global strategy and system configuration.
07


OR
(b) Businesses collect millions of pieces of data. Business intelligence
provides concrete methods of analyzing exactly what customers want
and how best to supply them. Discuss.
07

Q.3 (a) What is Data mining? Where is data mining used? 07
(b) Payment related issues in E-Commerce are increased now days.
Explain in terms of mechanism of payment
07
OR
Q.3 (a) Explain features and function of E-commerce 07
(b) What is the analytical and operation CRM? Discuss the
relationship between both.
07

Q.4 (a) SCM leads the firm either positive or negative direction. What is
the problem and solution is associated with supply chain
management?
07
(b) Project management is all about strategic planning and process.
Explain
07
OR
Q.4 (a) Data models or database structures are used to build the
conceptual structure or schema of the database. Explain the
database concept in brief.
07



(b)
Write a brief note on Relational database model and Multi-dimensional
model and compare it.
07
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Page 1 of 3


Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY
MBA(International Business) ? SEMESTER 1 ? EXAMINATION ? WINTER 2018

Subject Code: 1519307 Date:01/01/2019
Subject Name: Information Technology and Global Business
Time: 10:30 am To 01:30 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.


Q.1 Definitions
(a) Hadoop
(b) On demand CRM
(c) Text Mining
(d) Inventory Velocity
(e) The Bullwhip Effect
(f) Schema
(g) Software localization
14
Q.2 (a)
Is IT a Strategic weapon or a survival tool for Global business? discuss

07
(b) What major factors are driving the internationalization of
business? Explain the global strategy and system configuration.
07


OR
(b) Businesses collect millions of pieces of data. Business intelligence
provides concrete methods of analyzing exactly what customers want
and how best to supply them. Discuss.
07

Q.3 (a) What is Data mining? Where is data mining used? 07
(b) Payment related issues in E-Commerce are increased now days.
Explain in terms of mechanism of payment
07
OR
Q.3 (a) Explain features and function of E-commerce 07
(b) What is the analytical and operation CRM? Discuss the
relationship between both.
07

Q.4 (a) SCM leads the firm either positive or negative direction. What is
the problem and solution is associated with supply chain
management?
07
(b) Project management is all about strategic planning and process.
Explain
07
OR
Q.4 (a) Data models or database structures are used to build the
conceptual structure or schema of the database. Explain the
database concept in brief.
07



(b)
Write a brief note on Relational database model and Multi-dimensional
model and compare it.
07
Page 2 of 3

Q.5 Case Study
Organizations are hoarding (over retained data they no longer need. This
massive accumulation of unnecessary data results from several technological
and organizational factors. From a technology standpoint, the growth of high
bandwidth Internet connections and the decrease in the price of hard drive
storage gave made it relatively easy and inexpensive to move and store vast
amounts of documents and files. From an organizational perspective, few
managers are concerned about what is being stored when it seems on the surface
to be so inexpensive simply to keep everything. In fact, in most organizations,
no one is responsible for limiting the amount of data that is being stored.
Business unit managers typically do not see a budget line item for all of the cost
associated with unused or unneeded data, so they do not make it a management
priority- at least, not until huge amounts of corporate data are involved in a legal
matter or a government investigation. Although storing vast amounts of hoarded
data seems to have little or no cost, this is not really the case. Hoarding data
actually involves significant costs. These costs fall into three broad categories:
infrastructure costs; hidden cost and legal compliance and regulatory costs.
Infrastructure cost: when companies closely analyze their data, they typically
find that 80 percent of their ostensibly ?active? files and folders have not been
accessed for three to five years. This situation results in unnecessary IT
expenditures for electronic data storage, disaster recovery and data migration as
old servers and systems are retired. Some organizations also have tens of
thousands of backup taped in storage many of which are essentially useless.
Nevertheless, they are generating storage fees and excess costs if they are
included in the discovery process for litigation

Hidden costs: other costs associated with unnecessary data hoarding are hidden
? out of sight, and out of mind. One all-too common example of hidden costs is
lost productivity when employees have to search through volumes of unused
and unwanted materials to find the Information they need.

Legal, Compliance and Regulatory costs: the largest costs of over-retained data
frequently arise when a company becomes entangled in legal actions. In these
scenarios, the court issues a legal hold for all data pertaining to the matter. A
legal hold requires an organization to preserve all relevant information when
litigation is reasonably anticipated. A company cannot dispose of any relevant
data after the hold is issued. In essence, the legal hold supersedes the company?s
right to dispose of information that is not required for any specific operational
or regulatory requirements. The process of examining a company?s data to find
if they are pertinent to legal case is called discovery.
The discovery process can be extraordinary expensive. In many cases,
companies must hire attorneys to examine data files to determine whether they
are pertinent to discovery requests or subpoenas. Even if companies use
electronic discovery software, the costs are still substantial. For example,
although an e-discovery company, Blackstone discovery, helped one company
firm still incurred those costs. The key point here is that if the company has
disposed of the data before the legal matter arose, these costs would have been
substantially lower. As this example illustrates, companies should proactively
and appropriately dispose of unnecessarily hoarded data.
In addition, companies increasingly must adhere to state privacy legislation that
requires them to notify state officials and implicated state citizens if private
information such as social security numbers or credit card numbers is breached
or disclosed. For example, Belmont bank in Massachusetts discovered that a
backup tape had been left on a table and disposed of by the cleaning crew. . it
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Page 1 of 3


Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY
MBA(International Business) ? SEMESTER 1 ? EXAMINATION ? WINTER 2018

Subject Code: 1519307 Date:01/01/2019
Subject Name: Information Technology and Global Business
Time: 10:30 am To 01:30 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.


Q.1 Definitions
(a) Hadoop
(b) On demand CRM
(c) Text Mining
(d) Inventory Velocity
(e) The Bullwhip Effect
(f) Schema
(g) Software localization
14
Q.2 (a)
Is IT a Strategic weapon or a survival tool for Global business? discuss

07
(b) What major factors are driving the internationalization of
business? Explain the global strategy and system configuration.
07


OR
(b) Businesses collect millions of pieces of data. Business intelligence
provides concrete methods of analyzing exactly what customers want
and how best to supply them. Discuss.
07

Q.3 (a) What is Data mining? Where is data mining used? 07
(b) Payment related issues in E-Commerce are increased now days.
Explain in terms of mechanism of payment
07
OR
Q.3 (a) Explain features and function of E-commerce 07
(b) What is the analytical and operation CRM? Discuss the
relationship between both.
07

Q.4 (a) SCM leads the firm either positive or negative direction. What is
the problem and solution is associated with supply chain
management?
07
(b) Project management is all about strategic planning and process.
Explain
07
OR
Q.4 (a) Data models or database structures are used to build the
conceptual structure or schema of the database. Explain the
database concept in brief.
07



(b)
Write a brief note on Relational database model and Multi-dimensional
model and compare it.
07
Page 2 of 3

Q.5 Case Study
Organizations are hoarding (over retained data they no longer need. This
massive accumulation of unnecessary data results from several technological
and organizational factors. From a technology standpoint, the growth of high
bandwidth Internet connections and the decrease in the price of hard drive
storage gave made it relatively easy and inexpensive to move and store vast
amounts of documents and files. From an organizational perspective, few
managers are concerned about what is being stored when it seems on the surface
to be so inexpensive simply to keep everything. In fact, in most organizations,
no one is responsible for limiting the amount of data that is being stored.
Business unit managers typically do not see a budget line item for all of the cost
associated with unused or unneeded data, so they do not make it a management
priority- at least, not until huge amounts of corporate data are involved in a legal
matter or a government investigation. Although storing vast amounts of hoarded
data seems to have little or no cost, this is not really the case. Hoarding data
actually involves significant costs. These costs fall into three broad categories:
infrastructure costs; hidden cost and legal compliance and regulatory costs.
Infrastructure cost: when companies closely analyze their data, they typically
find that 80 percent of their ostensibly ?active? files and folders have not been
accessed for three to five years. This situation results in unnecessary IT
expenditures for electronic data storage, disaster recovery and data migration as
old servers and systems are retired. Some organizations also have tens of
thousands of backup taped in storage many of which are essentially useless.
Nevertheless, they are generating storage fees and excess costs if they are
included in the discovery process for litigation

Hidden costs: other costs associated with unnecessary data hoarding are hidden
? out of sight, and out of mind. One all-too common example of hidden costs is
lost productivity when employees have to search through volumes of unused
and unwanted materials to find the Information they need.

Legal, Compliance and Regulatory costs: the largest costs of over-retained data
frequently arise when a company becomes entangled in legal actions. In these
scenarios, the court issues a legal hold for all data pertaining to the matter. A
legal hold requires an organization to preserve all relevant information when
litigation is reasonably anticipated. A company cannot dispose of any relevant
data after the hold is issued. In essence, the legal hold supersedes the company?s
right to dispose of information that is not required for any specific operational
or regulatory requirements. The process of examining a company?s data to find
if they are pertinent to legal case is called discovery.
The discovery process can be extraordinary expensive. In many cases,
companies must hire attorneys to examine data files to determine whether they
are pertinent to discovery requests or subpoenas. Even if companies use
electronic discovery software, the costs are still substantial. For example,
although an e-discovery company, Blackstone discovery, helped one company
firm still incurred those costs. The key point here is that if the company has
disposed of the data before the legal matter arose, these costs would have been
substantially lower. As this example illustrates, companies should proactively
and appropriately dispose of unnecessarily hoarded data.
In addition, companies increasingly must adhere to state privacy legislation that
requires them to notify state officials and implicated state citizens if private
information such as social security numbers or credit card numbers is breached
or disclosed. For example, Belmont bank in Massachusetts discovered that a
backup tape had been left on a table and disposed of by the cleaning crew. . it
Page 3 of 3

appeared that the tape had been incinerated and therefore was not actually
disclosed to any third parties. Nevertheless, the bank had to pay a $7,500 civil
penalty.
Companies also incur costs when legal problem arise from incidents involving
the actual loss of credit card information. Security experts estimated the cost of
the Target breach to exceed $1 billion. Obviously, hackers and thieves cannot
take what organizations no longer possess. One excellent protection against a
breach is to dispose of data as soon as they are no longer for business purposes
or legal matters.
(a) Are there any advantages to over retaining data? Support your
answer.
07
(b) Storage media are becoming much cheaper, with increasing
capacity. Would it easier and cheaper to over-retain data than it
would be to pay employee hire an outside expert to oversee this
process?
07
OR
(a) Data are huge when it comes to understanding customer patterns.
The more data you have, and the more analysis you are able to do,
the better you will understand what makes customers tick.
07
(b) What do you think about all three costs given in case and discuss
its impact on business?

07

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This post was last modified on 19 February 2020