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The Firm Adoption of Technology (FAT) Survey, 2022

Cambodia, 2022
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Reference ID
KHM_2022_FAT_v01_M
DOI
https://doi.org/10.48529/enjx-z086
Producer(s)
Xavier Cirera, Diego Comin, Marcio Cruz
Collection(s)
The Firm Adoption of Technology (FAT) Survey
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 05, 2026
Last modified
Apr 23, 2026
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8793
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Data file: fat_cambodia_disclosure

Firm-level Adoption of Technology (FAT) Cambodia survey dataset

Cases: 795
Variables: 828

Variables

c10_5d2
Myocardial infarction/Strokes - angiography
c11_01a
Material - natural leather
c11_01b
Material - man-made leather
c11_01c
Material - textile
c11_01d
Material - synthetic + textile
c11_01e
Material - synthetic + textile + leather
c11_01f
Material - other
c11_02a
Leather goods - basic
c11_02b
Leather goods - fashion
c11_02c
Leather goods - sports
c11_02d
Leather goods - shoes
c11_02e
Leather goods - other
c11_03a
Finishes - screen print
c11_03b
Finishes - embroidery
c11_03c
Finishes - seamless
c11_03d
Finishes - ink or wax
c11_03e
Finishes - waterproofing
c11_03f
Finishes - other
c11_1a1
Provide files for design
c11_1a2
Most common files
c11_1a3
Design drawing - in house
c11_1a4
Design drawing - outsourced (another unit - same firm)
c11_1a5
Design drawing - outsourced (another firm)
c11_1b1
Design - Manual
c11_1b2
Design - Digital or semi-digital
c11_1b3
Design - CAD, 3D, or virtual
c11_1b4
Design - Other
c11_1c
Design - MOST used method
c11_1d
Years using c11_1b2, c11_1b3
c11_2a1
Cutting - in-house
c11_2a2
Cutting - outsourced (another unit - same firm)
c11_2a3
Cutting - outsourced (another firm)
c11_2b1
Cutting - Manual
c11_2b2
Cutting - Machine manually-operated
c11_2b3
Cutting - Semi-automatic machine
c11_2b4
Cutting - Automatic/Computerised (no Laser)
c11_2b5
Cutting - Automatic/Computerised (Laser)
c11_2b6
Cutting - Other
c11_2c
Cutting - MOST used method
c11_2d
Years using c11_2b4, c11_2b5
c11_3a1
Sewing - in-house
c11_3a2
Sewing - outsourced (another unit - same firm)
c11_3a3
Sewing - outsourced (another firm)
c11_3b1
Sewing - Manually
c11_3b2
Sewing - Machine (manually)
c11_3b3
Sewing - Machine (semi-automated)
c11_3b4
Sewing - Machine (automated)
c11_3b5
Sewing - 3D Knitting
c11_3b6
Sewing - Other
c11_3c
Sewing - MOST used method
c11_3d
Years using c11_3b3, c11_3b4, c11_cb5
c11_4a1
Assembly/Finishing - in-house
c11_4a2
Assembly/Finishing - outsourced (another unit - same firm)
c11_4a3
Assembly/Finishing - outsourced (another firm)
c11_4b1
Assembly/Finishing - manual
c11_4b2
Assembly/Finishing - conveyor/assembly (static/semi-automated)
c11_4b3
Assembly/Finishing - conveyor/assembly (dynamic/automated)
c11_4b4
Assembly/Finishing - injection machine
c11_4b5
Assembly/Finishing - 3D printing
c11_4b6
Assembly/Finishing - Other
c11_4c
Assembly/Finishing - MOST used method
c11_4d
Years using c11_4b3, c11_4b4, c11_4b5
c12_0
Accommodation classification
c12_0a
No. of rooms available
c12_0b
Max. capacity of guests
c12_0c
N rooms - internet connection
c12_0d
N rooms - AC
c12_0e
N rooms - TV
c12_0f
N rooms - cable
c12_0g
N rooms - minibar
c12_0h
N rooms - coffee maker
c12_0i
N rooms - telephone
c12_0j
N rooms - hairdryer
c12_0k
N of years with internet connections
c12_1a1
Reservations - in house
c12_1a2
Reservations - outsourced (another unit - same firm)
c12_1a3
Reservations - outsourced (another firm)
c12_1b1
Reservations - handwritten
c12_1b2
Reservations - digital (std software)
c12_1b3
Reservations - dedicated
c12_1b4
Reservations - PMS
c12_1b5
Reservations - cloud-based
c12_1b6
Reservations - other
c12_1c
Reservations - MOST used method
c12_1d
Years using c12_1b3, c12_1b4, c12_1b5
c12_1e1
Online travel agency for booking
c12_1e2
Share of booking - online agency
c12_1e4_1
Online agency - Booking.com
c12_1e4_2
Online agency - Trip Advisor
c12_1e4_3
Online agency - Expedia
c12_1e4_4
Online agency - AirBnB
c12_1e4_5
Online agency - Others
c12_1e4_7
Does not apply
c12_1e5
Other online agencies
c12_2a1
Accom Pricing - in house
c12_2a2
Accom Pricing - outsourced (another unit - same firm)
c12_2a3
Accom Pricing - outsourced (another firm)
c12_2b1
Accom Pricing - manual cost
c12_2b2
Accom Pricing - automated markup
c12_2b3
Accom Pricing - automated promotional
c12_2b4
Accom Pricing - dynamic pricing
c12_2b5
Accom Pricing - personalised pricing
c12_2b6
Accom Pricing - other
c12_2c
Accom Pricing - MOST used method
c12_2d
Years using c12_2b4, c12_2b5
c12_2da
Regulation limiting price accom
c12_2db
Agency regulating price accom
c12_3a1
Housekeeping - in house
c12_3a2
Housekeeping - outsourced (another unit - same firm)
c12_3a3
Housekeeping - outsourced (another firm)
c12_3b1
Housekeeping - handwritten
c12_3b2
Housekeeping - digital (std. software)
c12_3b3
Housekeeping - dedicated
c12_3b4
Housekeeping - PMS
c12_3b5
Housekeeping - cloud-based
c12_3b6
Housekeeping - other
c12_3c
Housekeeping - MOST used method
c12_3d
Years using c12_3b3, c12_3b4, c12_3b5
c12_3e1
Use vacuum cleaner
c12_3e2
N of vacuum cleaners used
c12_4a1
Laundry - in house
c12_4a2
Laundry - outsourced (another unit - same firm)
c12_4a3
Laundry - outsourced (another firm)
c12_4b1
Laundry - manual
c12_4b2
Laundry - domestic
c12_4b3
Laundry - industrial (w automatic sheet fold)
c12_4b4
Laundry - industrial (w/o automatic sheet fold)
c12_4b5
Laundry - other
c12_4c
Laundry - MOST used method
c12_4d
Years using c12_4c
c12_5a1
F and B - in house
c12_5a2
F and B - outsourced (another unit - same firm)
c12_5a3
F and B - outsourced (anothed firm)
c12_5b1
PoS - handwritten
c12_5b2
PoS - digital records
c12_5b3
PoS - specialised software
c12_5b4
PoS - PMS
c12_5b5
PoS - cloud-based
c12_5b6
PoS - other
c12_5c
PoS - MOST used method
c12_5d
Years using c12_5b3, c12_5b4, c12_5b5
c12_6a1
N. reviews - Booking.com
c12_6a2
Rate - Booking.com
c12_6b1
N. reviews - Trip Advisor
c12_6b2
Rate - Trip Advisor
c12_6c1
N. reviews - Expedia
c12_6c2
Rate - Expedia
c12_6d1
N. reviews - AirBnB
c12_6d2
Rate - AirBnB
d1a
Purchase/Lease - Equip. or Mach.
d1b
Purchase or Lease - Software License
d2a
Most used info. source for decision making
d2d
Business Relationship - Multinational firm
d2e
CEO Experience - Large firm in same sector/multinational firm
d2f
Most profitable technology not adopted
d2g
Willingness to pay for profitable tech
d2h
Helpfulness of this profitable tech
d3a
Loan - mach., equip or licensing
d3c
No. - needed to borrow but not get it
d4a
Formal Incentives - Money, gift, or recognition
d4b
No. KPIs monitored
d6a
Did export?
d6b
Direct Exports (% of sales)
d6c
Imported inputs, machines or equipment?
d7a
Awareness - govt. support program/subsidy for tech. adoption
d7b
Benefitted from any govt. program/subsidy
d7c
Which kind of govt program/subsidy benefitted from
d7c_1
Govt support - information
d7c_2
Govt support - tech assistance
d7c_3
Govt support - tax incentive
d7c_4
Govt support - grant
d7c_5
Govt support - loan
d7c_6
Govt support - other
D9a
d9a
Envt. and Sustainable Mgt. - ISO 14001
d9b
Envt. and Sustainable Mgt. - ISO 50001
d9c
Envt. and Sustainable Mgt. - Periodic audit third party
d9d
Envt. and Sustainable Mgt. - Formal evaluation of contractors and suppliers
d9e
Envt. and Sustainable Mgt. - Carbon trading, tracking, carbon offset credits
d9f
Envt. and Sustainable Mgt. - Monitor CO2/CO2 emissions
e1a
No. of permanent workers, full-time (ref_year1)
e1
Total no. workers by end of (ref_year1)
e2
Total no. workers by end of (ref_year2)
e1f
Total share of female workers (ref_year1)
e3a
No. of CEOs and Managers (ref_year1)
e3d
No. of Clerical support workers (ref_year1)
e3e
No. of Production workers (ref_year1)
e3f
No. of Service or sales workers (ref_year1)
e5b
% of workers - completed secondary education
e5c
% of workers - vocational training
e5d
% of workers - completed college degree or more
e3h
No. of workers dedicated to R&D activities?
e6a
Total sales (ref_year1)
e6b
Total sales (ref_year2)
e10a
Main product - % share in total sales
e10b
Main product - average markup
e7a
Total labor cost (ref_year1)
e7b
Total material cost (ref_year1)
e7c
Total energy cost (ref_year1)
e7c1
Total natural gas cost (ref_year1)
e7c2
Total fuel oils cost (ref_year1)
e7c3
Total LPG cost (ref_year1)
e7c4
Total Coal or Wood fuels cost (ref_year1)
e7c5
Total own renewable cost (ref_year1)
e7d
Operation cost (ref_year1)
b7e
Qty electricity (ref_year1)
e8a
Equipment cost (ref_year1)
e8b
Building cost (ref_year1)
e8c
Power plant for renewable resources cost (ref_year1)
e9rd
Total R&D expenditure (ref_year1)
firm_id
Firm ID
country
s1a
Sampling sector
country_code
firmid
s1a_rev
s1b_rev
s1c_rev
formality
Formal Sector
base_wt
Sampling Weight
survey_year
Survey Year
ref_year1
Reference Year 1
ref_year2
Reference Year 2
s2f
Country
d8a
1st obstacle to adopt technology
d8d
1st reason for the acquisition of technology
s1b
Sampling size
s1c
Sampling location
Total: 828
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