Meta analysis 1
Hamid et al finding
Good choice. This paper is actually quite useful for a literature review because it is not a hypothesis-testing paper. It is a barrier-identification and prioritization study. Therefore, there are no traditional IV and DV like in regression or SEM studies.
Here is a structured extraction for your review matrix.
Item Details
Citation Abdul-Hamid, A. Q., Ali, M. H., Tseng, M. L., Lan, S., & Kumar, M. (2020)
Title Impeding Challenges on Industry 4.0 in Circular Economy: Palm Oil Industry in Malaysia
Journal Computers & Operations Research
Location Malaysian Palm Oil Industry
Industry Palm oil mills / palm oil supply chain
Research Objective To identify and structure the major challenges hindering Industry 4.0 implementation within a Circular Economy framework in the Malaysian palm oil industry.
Sample Industry experts from Malaysian palm oil sector (expert judgement panel)
Method Fuzzy Delphi Method (FDM) + Interpretive Structural Modelling (ISM)
Statistical/Test Used Fuzzy Delphi Method for screening challenges; ISM for determining hierarchical relationships among challenges.
Type of Study Exploratory / decision science / expert-based modelling
Theory Industry 4.0 and Circular Economy
Variables
Since there is no regression model:
Independent Variables (Potential Barriers)
Initially 30 barriers were identified.
FDM reduced them to 18 significant barriers.
Examples include:
1. Lack of automation system virtualization
2. Unclear economic benefits of digital investment
3. Lack of process design
4. Unstable connectivity among firms
5. Employment disruptions
6. Technology integration issues
7. Workforce readiness issues
8. Information-sharing problems
(These act as challenge factors rather than traditional IVs.)
Dependent Variable
Not explicitly measured.
Conceptually:
> Successful implementation of Industry 4.0 in Circular Economy practices in Malaysian palm oil operations.
Main Findings
The study found 18 critical challenges after screening the original 30 barriers. The most influential challenges were:
1. Lack of Automation System Virtualization
The strongest barrier.
Many palm oil firms lack digital integration and cyber-physical systems required for Industry 4.0 implementation.
2. Unclear Economic Benefit of Digital Investment
Managers are uncertain whether automation investments will generate sufficient return on investment (ROI).
3. Lack of Process Design
Existing operational processes are often not designed for digital transformation. Simply buying technology does not solve process inefficiencies.
4. Unstable Connectivity Among Firms
Industry 4.0 requires extensive data sharing and connectivity, but supply chain integration remains weak.
5. Employment Disruptions
Workers fear job displacement from automation, creating resistance to change.
For Your Future Paper
What interests me is that this paper gives you a possible framework for a future meta-analysis.
You could classify barriers into four themes:
Theme Examples
Technological Automation virtualization, IT infrastructure, connectivity
Economic ROI uncertainty, investment cost
Organizational Process design, management readiness
Human Factors Skills gap, employment disruption, resistance to change
Then your review paper could ask:
> "Which category of barriers most consistently impedes automation adoption in Malaysian palm oil mills?"
That would be a publishable systematic review question and does not require access to any company's confidential data.
For your review matrix, I would code this paper as:
Country: Malaysia
Industry: Palm Oil
Method: FDM + ISM
DV: Industry 4.0 Adoption / Implementation
Key Finding: Automation virtualization and ROI uncertainty are the most significant barriers.
Theme: Automation Challenges / Digital Transformation / Industry 4.0.
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