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The Firm Adoption of Technology (FAT) Survey, 2019

Senegal, 2019
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Reference ID
SEN_2019_FAT_v01_M
DOI
https://doi.org/10.48529/s4p8-xc61
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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22733
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Data file: fat_senegal_disclosure

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

Cases: 1786
Variables: 820

Variables

c9_0b3
Fleet type - Motorcycle
c9_0b4
Fleet type - Others
c9_0c1
Regulations - hours uninterrupted driving
c9_0c2
Regulations - type of vehicles allowed
c9_1a1
Load optimization - in house
c9_1a2
Load optimization - outsourced (another unit - same firm)
c9_1a3
Load optimization - outsourced (another firm)
c9_1b1
Transportation planning - handwritten info.
c9_1b2
Transportation planning - electronic file share
c9_1b3
Transportation planning - installed software
c9_1b4
Transportation planning - real time info. with ERP
c9_1b5
Transportation planning - Other
c9_1c
Transportation planning - MOST used method
c9_1d
Years using c9_1b3, c9_1b4
c9_2a1
Execute transp. load plans - in house
c9_2a2
Execute transp. load plans - outsourced (another unit - same firm)
c9_2a3
Execute transp. load plans - outsourced (another firm)
c9_2b1
Loading - Manual process (fax, text, phone)
c9_2b2
Loading - Manual process (dig. platforms)
c9_2b3
Loading - web-based
c9_2b4
Loading - specific software interface via Internet
c9_2b5
Loading - file exchange (ERP integrated apps)
c9_2b6
Loading - Other
c9_2c
Loading - MOST used method
c9_2d
Years using c9_2b3, c9_2b4, c9_2b5
c9_3a1
Monitor load/delivery - in house
c9_3a2
Monitor load/delivery - outsourced (another unit - same firm)
c9_3a3
Monitor load/delivery - outsourced (another firm)
c9_3b1
Monitoring load/delivery - Event driven (fax, text, phone calls)
c9_3b2
Monitoring load/delivery - Event driven (digital)
c9_3b3
Monitoring load/delivery - Paper documentation
c9_3b4
Monitoring load/delivery - installed softwares
c9_3b5
Monitoring load/delivery - ERP integrated apps
c9_3b6
Monitoring load/delivery - Other
c9_3c
Transportation monitoring - MOST used method
c9_3d
Years using c9_3b3, c9_3b4, c9_3b5
c9_4a1
Transport performance - in house
c9_4a2
Transport performance - outsourced (another unit - same firm)
c9_4a3
Transport performance - outsourced (another firm)
c9_4b1
Transp. perf. - manually
c9_4b2
Transp. perf. - computer (non-specialized software)
c9_4b3
Transp. perf. - computer (specialised transp. reporting)
c9_4b4
Transp. perf. - installed software
c9_4b5
Transp. perf. - file exchange between ERP integrated
c9_4b6
Transp. perf. - Other
c9_4c
Transp. Perf. - MOST used method
c9_4d
Years using c9_4b3, c9_4b4, c9_4b5
c9_5a1
Fleet assets - in house
c9_5a2
Fleet assets - outsourced (another unit - same firm)
c9_5a3
Fleet assets - outsourced (another firm)
c9_5b1
Fleet management - manual
c9_5b2
Fleet management - electronic file
c9_5b3
Fleet management - ETM
c9_5b4
Fleet management - ERP and software
c9_5b5
Fleet management - Other
c9_5c
Fleet management - MOST used method
c9_5d
Years using c9_5b3, c9_5b4
c10_0
Complexity of health treatment
c10_0a
No. of patients per day
c10_0b
No. of patients night, per day
c10_0c
No. of full-time doctors
c10_0d
No. of full-time nurses
c10_1a1
Hosp. facilities - ER
c10_1b1
Hosp. facilities - ER no.
c10_1a2
Hosp. facilities - Postoperative care area
c10_1b2
Hosp. facilities - Postoperative care area no.
c10_1a3
Hosp. facilities - ICU
c10_1b3
Hosp. facilities - ICU no.
c10_1a4
Hosp. facilities - Blood Bank
c10_1b4
Hosp. facilities - Blood Bank no.
c10_1a5
Hosp. facilities - Testing labs
c10_1b5
Hosp. facilities - Testing labs no.
c10_1a6
Hosp. facilities - X-ray
c10_1b6
Hosp. facilities - X-ray no.
c10_1a7
Hosp. facilities - ultrasound machine
c10_1b7
Hosp. facilities - ultrasound machine no.
c10_1a8
Hosp. facilities - CT scan
c10_1b8
Hosp.facilities - CT scan no.
c10_1a9
Hosp. facilities - MRI machine
c10_1b9
Hosp. facilities - MRI machine no.
c10_1a10
Hosp. facilities - ultrasound machine
c10_1b10
c10_1b10
c10_1a11
Hosp. facilities - Pulse oximetry
c10_1b11
Hosp. facilities - Pulse oximetry no.
c10_1a12
Hosp. facilities - ECG
c10_1b12
Hosp. facilities - ECG no.
c10_2a1
Appt. - in house
c10_2a2
Appt. - outsourced (another unit - same firm)
c10_2a3
Appt. - outsourced (another firm)
c10_2b1
Scheduling - Personal visit and paper
c10_2b2
Scheduling - Phone call, SMS, or Email
c10_2b3
Scheduling - Software or app (w/o automated reminders)
c10_2b4
Scheduling - Software or app (w automated reminders)
c10_2b5
Scheduling - Other
c10_2c
Scheduling - MOST used method
c10_2d
Years using c10_2b3, c10_2b4
c10_3a1
Patient records - in house
c10_3a2
Patient records - outsourced (another unit - same firm)
c10_3a3
Patient records - outsourced (another firm)
c10_3b1
Patient records - Handwritten process
c10_3b2
Patient records - Digital patient records
c10_3b3
Patient records - EHR
c10_3b4
Patient records - Cloud-based HER
c10_3b5
Patient records - Other
c10_3c
Patient record - MOST used method
c10_3d
Years using c10_3b3, c10_3b4
c10_4a1
Pharmacy - in house
c10_4b1
Medication - Internal Pharmacy
c10_4b2
Medication - Order of medication
c10_4c1
Med. mgt./admin. - Handwritten
c10_4c2
Med. mgt./admin. - Barcode/electronic id
c10_4c3
Med. mgt./admin. - Other
c10_4d
Years using c10_4c2
c10_5a1
Sepsis treat. - antibiotics
c10_5a2
Sepsis treat. - adv. therapies
c10_5b1
Childbirth - C-section
c10_5b2
Childbirth - High-risk labor
c10_5c1
Trauma - Traction (closed fracture)
c10_5c2
Trauma - Open Treatment of Fracture
c10_5d1
Myocardial infarction/Strokes - defibrillation
c10_5d2
Myocardial infarction/Strokes - angiography
d1a
Purchase/Lease - Equip. or Mach.
d1b
Purchase or Lease - Software License
d1c
Dev., Custom. or Modif. of Machine or Software
d1d
Partnership - Development
d1e
Most contributing partner - Software/Machine Dev
d2a
Most used info. source for decision making
d2b
Firm with >= 50 employees in around 50 kms
d2c
Business Relationship - >= 50 emp. and around 50 kms
d2d
Business Relationship - Multinational firm
d2e
CEO Experience - Large firm in same sector/multinational firm
d3a
Loan - mach., equip or licensing
d3b
Interest rate on loan
d3c
No. - needed to borrow but not get it
d4a
Formal Incentives - Money, gift, or recognition
d4b
No. KPIs monitored
d4c
Frequency monitoring the KPIs
d4d
Time frame - production targets
d5a
Hired engineers, computer programmers, or eq.
d5b
Challenge to hiring engineers, computer programmers, or equivalent
d5c
Used external consultants or organisations
d5d
Main source of external consultants or organisations
d5e
Why not consultants or organisations
d5f
Adjustment of labour during technological changes
d6a
Did export?
d6b
Direct Exports (% of sales)
d6c
Imported inputs, machines or equipment?
d6d
Avg. final price paid (base = 100)
d6e
Number of days from entry to customs
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
e1a
No. of permanent workers, full-time (ref_year1)
e1b
No. of permanent workers, part-time (ref_year1)
e1c
No. of temporary or seasonal workers, full-time (ref_year1)
e1d
No. of temporary or seasonal workers, part-time (ref_year1)
e1e
Average length of temporary or seasonal workers (ref_year1)
e1f
Total share of female workers (ref_year1)
e2a
No. of permanent workers, full-time (ref_year2)
e2b
No. of permanent workers, part-time (ref_year2)
e2c
No. of temporary or seasonal workers, full-time (ref_year2)
e2d
No. of temporary or seasonal workers, part-time (ref_year2)
e2e
Average length of temporary or seasonal workers (ref_year2)
e2f
Total share of female workers by the end of the year (ref_year2)?
e3a
No. of CEOs and Managers (ref_year1)
e3b
No. of Professionals (ref_year1)
e3c
No. of Technicians (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)
e4a
No. of CEOs and Managers (ref_year2)
e4b
No. of Professionals (ref_year2)
e4c
No. of Technicians (ref_year2)
e4d
No. of Clerical support workers (ref_year2)
e4e
No. of Production workers (ref_year2)
e4f
No. of Service or sales workers (ref_year2)
e5a
% of workers - completed primary education
e5b
% of workers - completed secondary education
e5c
% of workers - vocational training
e5d
% of workers - completed college degree or more
e5e
No. of workers - engineering or applied science
e5f
No. of workers - MBA, Masters or Doctoral degree
e3g
Workers dedicated to R&D activities?
e3h
No. of workers dedicated to R&D activities?
e6a
Total sales (ref_year1)
e6b
Total sales (ref_year2)
e7a
Total labor cost (ref_year1)
e7b
Total material cost (ref_year1)
e7c
Total energy cost (ref_year1)
e7d
Operation cost (ref_year1)
e8a
Equipment cost (ref_year1)
e8b
Building cost (ref_year1)
e9a
Salaries - CEOs and Managers (ref_year1)
e9b
Salaries - Professionals (ref_year1)
e9c
Salaries - Technicians (ref_year1)
e9d
Salaries - Clerical support workers (ref_year1)
e9e
Salaries - Production workers (ref_year1)
e9f
Salaries - Service or sales workers (ref_year1)
e10a
Main product - % share in total sales
e10b
Main product - average markup
firm_id
Firm ID
country
country_code
firmid
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
d8a
1st obstacle to adopt technology
d8b
2nd obstacle to adopt technology
d8c
3rd obstacle to adopt technology
d8d
1st reason for the acquisition of technology
d8e
2nd reason for the acquisition of technology
d8f
3rd reason for the acquisition of technology
s1a
Sampling sector
s1b
Sampling size
s1c
Sampling location
Total: 820
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