I think you are looking at the right issue.
If the palm oil mill in CI is actively pushing automation, then your DBA should not be framed as "whether automation is important." The industry has already decided that automation is important. The more interesting question is:
Why do employees, supervisors, engineers, and operators accept or resist automation initiatives?
That shifts the study from technology itself to technology adoption behaviour, which is where UTAUT, TAM, and TRA become useful.
1. What is happening in Malaysia now?
The Malaysian palm oil industry is under pressure to automate because of:
Labour shortages
Rising labour costs
Dependence on foreign workers
Productivity improvement targets
Sustainability and ESG requirements
Industry 4.0 national agenda
Several major plantation groups have already invested in automated monitoring systems, sensors, predictive maintenance, integrated mill systems, and IoT-based monitoring. FGV, for example, implemented Palm Oil Mill Integrated System (POMIS) across most of its mills to improve operational control and monitoring.
MPOB has repeatedly highlighted mechanisation and Industry 4.0 technologies such as IoT, robotics, sensors, drones, and big data analytics as necessary to reduce dependence on labour and improve productivity.
So your DBA topic is highly relevant.
2. Industry 4.0 vs Industry 5.0
Industry 4.0
Focus:
Automation
IoT
Sensors
Smart machines
Big data
AI
Predictive maintenance
Digital twins
Question:
"How can machines do the work more efficiently?"
Examples in palm oil mills:
Automated sterilizer monitoring
Boiler monitoring systems
Conveyor sensors
Real-time OER monitoring
Predictive maintenance systems
Smart control rooms
Industry 5.0
Focus:
Human-centered technology
Collaboration between humans and machines
Employee wellbeing
Sustainability
Question:
> "How can technology help people perform better?"
Examples:
AI assisting operators
Decision support systems
AR-based maintenance guides
Human-machine collaboration
Digital skills development
Industry 5.0 does not replace Industry 4.0.
It builds on it.
Think:
Industry 4.0 = Smart Factory
Industry 5.0 = Smart Factory + Human Value
3. Which theory is strongest?
For a DBA, I would rank them:
1. UTAUT (Best Choice)
The Unified Theory of Acceptance and Use of Technology.
Main constructs:
Performance Expectancy
Effort Expectancy
Social Influence
Facilitating Conditions
Predicting:
Behavioural Intention
Actual Usage
Advantages:
Strong empirical support
Suitable for workplace technology
Suitable for mill operators and engineers
Frequently used in Industry 4.0 studies
Possible model:
Performance Expectancy → Intention to Use Automation
Effort Expectancy → Intention to Use Automation
Social Influence → Intention to Use Automation
Facilitating Conditions → Actual Usage
2. TAM
Technology Acceptance Model.
Main variables:
Perceived Usefulness
Perceived Ease of Use
Predicting:
Intention
Usage
Advantages:
Simple
Easy to collect data
Disadvantages:
Sometimes too simple for DBA level
You may get examiner comments such as:
> "Why not use UTAUT?"
because UTAUT is generally considered a more comprehensive evolution of TAM.
3. TRA
Theory of Reasoned Action.
Main variables:
Attitude
Subjective Norm
Predicting:
Behavioural Intention
Good for:
Studying behavioural beliefs
Not ideal for:
Modern Industry 4.0 environments
I would only use TRA if you are interested in cultural or social influences.
4. What I would recommend for Carey Island
A DBA examiner will probably be more impressed by:
Title Example
"Factors Influencing Employees' Intention to Adopt Industry 4.0 Automation Technologies in Malaysian Palm Oil Mills"
Independent Variables
From UTAUT:
Performance Expectancy
Effort Expectancy
Social Influence
Facilitating Conditions
---
Dependent Variable
Intention to Adopt Automation Technology
or
Actual Technology Usage
Moderator (optional)
Age
Work experience
Job category
Digital literacy
---
5. A stronger DBA contribution
Instead of using pure UTAUT, consider:
UTAUT + Job Security
In palm oil mills, many employees worry:
"Will automation replace me?"
Possible variable:
Job Security Perception
or
Fear of Job Displacement
Model:
Performance Expectancy → Adoption Intention
Effort Expectancy → Adoption Intention
Social Influence → Adoption Intention
Facilitating Conditions → Adoption Intention
Job Security Perception → Adoption Intention
This becomes much more interesting for examiners because it addresses a real industry concern.
6. Another direction: Readiness for Industry 4.0
A Malaysian study on palm oil milling found that technology adoption is influenced not only by technology characteristics but also by organizational and environmental factors.
You could examine:
Independent Variables
Technology Readiness
Organizational Readiness
Management Support
Employee Competency
Dependent Variable
Industry 4.0 Adoption
This is often closer to strategic management and may fit DBA better than a pure technology acceptance study.
If I were supervising a DBA student in a palm oil mill today, I would probably steer them toward:
"Determinants of Industry 4.0 Automation Adoption in Malaysian Palm Oil Mills: An Extended UTAUT Model with Job Security Perception as a Moderating Variable."
It is current, practical, publishable, and directly linked to the automation push that companies in CI and across the Malaysian palm oil sector are already pursuing.
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