Minitrack Proposal 46 Hawaii International Conference on Systems Sciences

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20 Νοε 2013 (πριν από 3 χρόνια και 10 μήνες)

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Minitrack Proposal

4
6
th

Hawaii International Conference on Systems Sciences


Title:
Business Analytics
,
Business Intelligence

and Big Data

Track: Organizational Systems and Technology Track


Minitrack Chairs:

Dr. Robert Winter (Please submit papers to)

University of St.Gallen

Mueller
-
Friedberg
-
Strasse 8

CH
-
9000

St. Gallen

Switzerland

Phone: +41 71 224 21
90

Fax: +41 71 224 2189

robert.winter@unisg.ch


Dr. Olivera Marjanovic

The University of Sydney

H69
-

Economics and Business Building

NSW 2006 Australia

Phone: +61 2 9351 8477

Fax: +61 2 9351 7294

olivera.marjanovic@sydney.edu.au


Dr. Barbara H. Wixom

McIntire School of Commerce

Rouss and Robertson
Hall
s

The University of Virginia

Charlottesville, VA 22903

Phone: (434) 924
-
8981

Fax: (434) 924
-
7074

bwixom@
virginia.edu



Description of the Minitrack

The provision of the right data
with
appropriate quality according to the needs of decision
makers
or automated
processes

is crucial for successful operations of companies and
government agencies
.
Management Information Systems, Decision Support Systems,
Executive Information Systems, interactive
online
analy
sis (OLAP)
, data mining
,
dashboards

and
recently
map reduce are examples
for the historic advancement
of
business analytics / business intellig
ence
concepts for the
front
-
end, while databases, data
warehousing and
recently ‘big data’
are examples for the
development of the underlying
technical infrastructure concepts.
The smart combination of task
-
oriented front
-
end
innovations and technology
-
dri
ven infrastructure innovations allows for enhanced
decision speed, more efficient extracting, cleaning, and aggregating data from source
systems, maintaining and analyzing larger data sets, and demand
-
oriented access to data.
From an information systems pe
rspective,
business analytics, business intelligence and
‘big data’
constitute a dynamic, fascinating and highly relevant field

of research
.
This
includes
managerial considerations

(
BI strategy, BI
organization

and
governance
,
BI
value
, data quality manage
ment, etc.)
, process
-
centric business intelligence,
and
inter
-
organizational
aspects
.


This
m
initrack will accept papers
with a managerial, an economic, a methodological or a
technical perspective on the above topics.

Contributions from the fields of theo
ry
building, design research (methods and models
)
, action research

as

well as analyses of
existing or innovative applications are welcome.


Excellent p
apers
also
will be considered for publication
in a special issue of the
International Journal of Business

Intelligence Research
or encouraged to be submitted to
the

Journal of Business Intelligence
.


Minitrack Relevancy

This
m
initrack investigate
s

actual and emerging
issues in the
wide
area

of IT supported
information supply. As the
significance
of
business
analytics
,
business intelligence and
‘big data’
constantly widens, this research area should have a place in the organizational
systems track
.


After 16 submissions and 8 accepted papers in 2011, t
he
business
analytics, business
intelligence

and
data wareh
ousing

minitrack
at

HICSS
-
4
5

(20
1
2
) attracted
another
record
number of
21

submissions from which
ten
were accepted
. If the increased attention to
analytics continues in academia as it does in practice, the minitrack could have a chance
to develop into a fu
ll
-
day format (201
2
: three sessions).


The co
-
chair team worked excellently together
.



Categories

Emerging Trends in
Business Analytics

and
Business Intelligence
:

Big data

Real
-
time warehousing and
operational
business intelligence

Mobile
and pervasive
B
I

Qualitative BI (deriving business intelligence from qualitative data)

Social Media Applications in BI

Innovative applications of Advanced Business Analytics


Open data

Cloud BI



Business
Analytics/Business
Intelligence Applications:

Business Process
Intelligence

Collaborative BI

and collaborative analytics

Performance Management

and Dashboards

Customer Relationship Management

Supply Chain Management

E
-
commerce

Data mining

Decision support systems

Executive information systems

Graphical information
systems

and spatial analytics

OLAP/ROLAP/MOLAP

Data Warehousing Process

Data extracting, cleaning, and transforming

Meta
-
data management

Integration of data warehousing with ERP

Data quality

management

Data governance

Managerial and Technical Issues

Maturi
ty models and Business Intelligence strategy

Security,
privacy

and ethical issues

Industry
-
specific
data warehousing

Integration of structured and un
-
structured data

Development methodologies

B
usiness value

BI Governance

BI Challenges in NFP Organizations

Data Quality





Bios


Robert Winter:
Prof. Dr. Robert Winter is tenured chair of information
management

at
the University of St. Gallen (HSG), director of HSG's research institute of information
management (IWI
-
HSG) and academic director of HSG's Execut
ive
Master of Business
Engineering
programme (
E
MBE HSG).

He is
department editor of
Business & Information Systems Engineering (
BISE,
formerly
W
irtschaftsinformatik
)

as well as associate editor of
European Journal of Information
Systems (EJIS), I
nformation

Systems and e
-
Business Management

(ISeB)
and
Enterprise
Modelling and Information Systems Architectures

(EMISA)
.


Olivera Marjanovic:

Dr.
Olivera Marjanovic
is Senior Lecturer at The University of
Sydney.
Her research seeks to link business processes and IT in business, government
and non
-
profit organisations and to assist them in effectively managing IT
-
enabled
organisational process
innovations.
She is a Co
-
Editor
-
in
-
Chief of the
International
Journal of
Business Intelligence Research
.


Barbara H. Wixom:

Dr. Barbara Haley Wixom is an Associate Professor of Commerce
at the University of Virginia’s McIntire School of Commerce, and she received her Ph.D.
in MIS from the University of Georgia. Dr. Wixom was ma
de a Fellow of The Data
Warehousing Institute for her research in data warehousing, and she has published in
journals that include
Information Systems Research
,
MIS Quarterly
,
Journal of Data
Warehousing
,

and
Journal of MIS.

She has presented her work at n
ational and
international conferences.