FOKUS KAJIAN MANAJEMEN MM UT RIZAL HALIM

Research in Business & Management :
Now and Future Direction

Dr. Rizal E.Halim
Disajikan pada
Kuliah MM-Universitas Terbuka
15 September 2012

Orientasi
• S1  problem solving
• S2  knowledge development
• S3  develop new knowledge

Expenditure on R&D
ASEAN,BRIC, US & JAPAN
450
425
400
375
350
325

300
275
250
225
200
175
150
125
100
75
50
25
0

Expenditure on R&D (Billion of
US$,PPP)
% of GDP PPP)

3.5
3.3

3
2.7
2.5
2.2
2

1.5

1.4

0.9

1

0.9
0.63

0.5
0.09


0.07

0.19

0.25

Malaysi Singap Phillipi Indone Vietna Thailan
a
ore
nes
sia
m
d

US

China

Japan


India

Brazil

405.3

153.7

144.1

36.1

19.4

2.6

6.3

0.29


0.72

0.52

1.46

2.7

1.4

3.3

0.9

0.9

0.63

2.2


0.09

0.07

0.19

0.25

Expenditure on R&D (Billion of US$,PPP)

Sumber : UNESCO SCIENCE REPORT (2010) & BATTELLE (2010)

% of GDP PPP)

0

Expenditure on R&D - ASEAN
2.5

7

2.2

6

2
5
1.5

4
3

1

2

0.63

0.5
1
0

Expenditure on R&D (Billion of
US$,PPP)
% of GDP PPP)

0.09
Malaysia

Singapore

Phillipines

2.6

6.3

0.29

0.63

2.2


0.09

0.19
0.07
Indonesia

Vietnam

Thailand

0.72

0.52

1.46

0.07

0.19


0.25

Expenditure on R&D (Billion of US$,PPP)

Sumber : UNESCO SCIENCE REPORT (2010) & BATTELLE (2010)

0.25

% of GDP PPP)

0

Facts
• Researchers in Indonesia = 42.722 (the largest among
ASEAN members)
• Namun relatif kecil jika dihitung dari rasio peneliti
terhadap jumlah penduduk (per million inhabitant)






Indonesia = 199
Singapore = 5.713
Malaysia = 503
Thailand = 292

• Jumlah artikel ilmiah yang dipublikasikan per million
inhabitant :
– Indonesia is 0.9; much lower than Singapore (831), Malaysia
(24) and Thailand (20).

Sumber : UN-ESCAP (2009)

Perbandingan dana Riset PT Dunia
Universitas

Dana riset

keterangan

NUS
Yale
Jon Hopkins University
Harvard
MIT
UKM
UPM
UTM
UM
USM
NTU
California Institute of Technology

469 juta (S$) /4T
900 juta (US$) / 8,1T
13 T
1,2 milar (US$) / 11 T
1,7 miliar (US$) / 15T
180 M (Rp,th I) 280 M (th II-III)
sama
sama
sama
360 M (Rp,thI), 560 M (th II-III)
500an juta (S$) / 4-5 T
1,7 Milyar US$ (15T)

th 2009 (60% diknas, 20 kem lain)
th 2006
Th 2007
th 2006
th 2006

Sumber : diolah dari berbagai sumber

Diberikan oleh Pemerintah
melalui kemenertian
Pendidikan sbg dana
Penyelidikan (dana riset)

Th 2009
Th 2006

Current Situation:
Top Tier Academic Journals
• Issues :



Economic subject







– 85 % using quantitative
technique
– Optimizing secondary data
– Data processing enrichment


Management subject
– Academy of Management Journal
– Asia Pacific Journal of
Management
– Journal of Strategic Management
– Journal of Finance
– Journal of Marketing
– Journal of Human Resources



American Economic Review
Journal of Political Economy
Journal of Economic Theory
Quarterly Journal of Economics
Review of Economic Studies
Journal of Business and
Economic Statistics

Accounting subject
– Accounting review
– Journal of Accounting Research
– Journal of Accounting and
Economic
– Accounting & Business Review

Why

The reasons are……







Data  abundant
Data  Unstructured
Data exploration  data mining
Efficient  resources, time and cost
Phenomenon  Simplified
Any else…………………………………

Secondary Data 
Exploration/Mining

Management Science
(quantitative)

Model development









Diagram
Graph
Formula
Chart
Histogram
Scatter plot
Figure
…..

Example 1
Potensi pasar
sales
Pada titik tertentu, peningkatan
upaya periklanan tidak berdampak pada
peningkatan penjualan (penurunan)
…karene faktor pasar potensial sudah
maksimum

iklan

Example 2

Example 3
Aggregate National Income and
Consumption for the United
States, 1930–2006 (in billions of
dollars)
Aggregate National
Income
1930
1940
1950
1960
1970
1980
1990
2000
2004
2005
2006

$

75.6
81.1
241.0
427.5
837.5
2,243.0
4,642.1
7,984.4
10,306.8
10,887.6
11,655.6

Aggregate
Consumption
$ 70.2
71.2
192.7
332.3
648.9
1,762.9
3,831.5
6,683.7
8,195.9
8,707.8
9,224.5

The facts
Hampir sebagian
besar
menggunakan
teknik kuantitatif

Trend …
• Management
– Management policy &
process
– Management information
system
– Society & enterprise
– Leadership, value &
corporate responsibility
– Marketing & public policy
– Top management team
– Strategy &
Competitiveness
– Industrial relation

• Accounting







Governance
Earning management
Debt & Risk issues
Performance measures
Transfer price
Litigation risk & Fraud

• Economy







Energy sustainability
Poverty
Trading
Logistic
Public infrastructure
Fiscal sustainability

Perkembangan awal Ilmu Manajemen
• Writings on law and
military organization -Hamurabi, Roman Senate,
Sun Tsu, Marcus Aurelius,
Machievelli

• The industrial revolution
altered working conditions
and created large
organizations; Adam Smith on
the division of labor, 1776

Perkembangan Ilmu Manajemen
• IImu manajemen
merupakan salah satu
disiplin ilmu sosial.
• Frederick W. Taylor (1886)
– konsep efisiensi dan
efektivitas. Tahun 1911
meneerbitkan buku The
Principle of Scientific
Management (1911) yang
merupakan awal dari
lahirnya manajemen
sebagai ilmu.

Fokus Kajian Ilmu Manajemen


Marketing









Consumer behavior
Customer livetime value (CLV)
Marketing performance
Brand equity
Customer equity
Marketing channel

Finance








Risk management
Governance
Capital budgeting
Financing-investment decision
Capital Asset Pricing Model
(CAPM).
– Arbritage pricing Theory dan
option pricing theory

SDM









Perilaku organisasi
Budaya dan kepemimpinan
Kepuasan kerja dan kinerja
Hubungan industrial
Knowledge management
Motivasi & Budaya Kerja

Strategic Mgt







Competitiveness
Top management theory
Innovation
Merger & Acquisition
Strategic decision
Strategic planning

Trend…
• Economic
– Computable General Equilibrium (CGE)
– Agent-Based Computational Economics
– Statistical Discrimination

• Management
– Finance : VAR , Arch-Garch, Markov Chain, DEA, financial
econometric
– Marketing ; SEM, Markov chain, Survival Analysis, Cohort
analysis, churn model, GLM
– Human resources : SEM, GLM, Factor Analysis, Psychometric

• Accounting
– SEM,
– Anova-Manova
– Econometric, etc

Future Agenda
• Optimizing available secondary data
• Enrichment
Adopt statistical technique from other disciplines
For example : Entropy measurement, System Dynamic

Adopt concept from other disciplines
For example: Physics Quantum, Cellular Automata concept

• Holistic approach issue
Interplay quantitative-qualitative method
For example : Triangulation method

THANK
YOU

rizaledy@ui.ac.id,
rizaledy@gmail.com