THE TAXONOMY OF ENTERPRISE ARCHITECTURE TOWARDS HIGH TECHNOLOGY HIGH VALUE APPROACH IN MALAYSIAN TRANSPORTATION INDUSTRY

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International Journal of Civil Engineering and Technology (IJCIET)
Volume 9, Issue 11, November 2018, pp. 351–368, Article ID: IJCIET_09_11_035
Available online at http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=10
ISSN Print: 0976-6308 and ISSN Online: 0976-6316
© IAEME Publication Scopus Indexed
THE TAXONOMY OF ENTERPRISE
ARCHITECTURE TOWARDS HIGH
TECHNOLOGY HIGH VALUE APPROACH IN
MALAYSIAN TRANSPORTATION INDUSTRY
Mailasan Jayakrishnan
Faculty of Information & Communication Technology
Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka,
Malaysia
Abdul Karim Mohamad
Centre for Strategic, Quality and Risk Management
Malaysia
Abu Abdullah
Faculty of Manufacturing Engineering
Malaysia
ABSTRACT
This research paper reveals Enterprise Architecture (EA) taxonomy function in
assisting the academic research by utilizing High Technology High Value (HTHV) to
mark the domain of knowledge in Malaysian Transportation Industry (MTI). Despite
the advance in EA, practitioners, and researchers need to understand the taxonomy of
the research model map in an industrial case study. Structuring on EA encounters a
general perspective for the researchers and practitioners, where we develop
taxonomy of research model that characterizes the academic development of the field
focusing on the domain of knowledge, ontology point of view, epistemology point of
view and methodology point of view. A philosophical foundation can aid to start
direction that ushers together these perspectives in a typical taxonomy model. In this
research paper, we chronicle the philosophical foundations of the EA and signify how
it can help MTI-Information System (IS) alignment.
Keywords: Case Study, Enterprise Architecture, Information System, Malaysian
Transportation Industry, Research Paradigm and Taxonomy.

The Taxonomy of Enterprise Architecture towards High Technology High Value Approach in
Malaysian Transportation Industry
Cite this Article: Mailasan Jayakrishnan, Abdul Karim Mohamad and Abu Abdullah, The
Taxonomy of Enterprise Architecture towards High Technology High Value Approach In
Malaysian Transportation Industry, International Journal of Civil Engineering and
Technology, 9(11), 2018, pp. 351–368.
http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=9&IType=10
1. INTRODUCTION
Enterprise Architecture (EA) is obtaining its significance and keep the important agenda in
any Information System (IS) transformation in most organizations[1]. An organization may
embrace EA to aid formation, strategy and apply Information Technology (IT) approach to
advance augment in the organization strategy [2]. Despite existing numerous EA models and
methodologies, execution of EA is an exigent action [3]. EA keeps transpiring to a solitary of
the crucial dispute for enterprises[4]. The academic evolution of the domain boasts doesn’t
imitate this pivot of functions[5].When glancing for direction in this domain, Malaysian
Transportation Industry (MTI) can adopt diversity of EA [6]. Yet, these perspectives diverge
crucially in total of features and predominantly when it transpires to approach for the High
Technology High Value (HTHV) performance, which undergoes arise to prosper towards
technology revolution that executes further with little organization surroundings, with surge
stipulation from shareholders and regulators, the IT business is not uniquely question to do
diligently and intelligent, however, is actuality question to grasp function of persuading the
organization. Mankind encounter advances from the agricultural revolution to the industrial
revolution and transpires now striking to an information revolution [7]. This information
revolution that we named as HTHV on computing ability at constant stagger valuation and
the enterprise framework entity nexus above comprehensive model highways that is
dominant utilization of IS in each section of MTI venture be it transmission, decision-
making, teaching and learning that a researcher, practitioners, and academicians need to
assimilate its taxonomy approach. Hence, this research paper focus to prospect the taxonomy
action of research model map execution in MTI and to finger its point of view. The model
design into the academic development of four points of view which are the domain of
knowledge, ontology, epistemology, and methodology. Based on MTI as a case study, it
divulges that each industry should define and blueprint their own taxonomy of technology
revolution structure map situate on their fundamental organization and necessity. The
taxonomy structure map and documentation does not join the thriving MTI if it is not
actuality refine in the industry. The taxonomy of structure map execution and the four points
of view: the domain of knowledge, ontology, and epistemology and methodology dispute in
this research paper will be the valuable benchmark for other researcher, practitioners,
academicians and implementor in another public-sector industry.
2. LITERATURE REVIEW
Chaining Industry 4.0 to the IS in the perspective of HTHV is a new research era for most
researchers. Industries business like MTI is moving along their digital transformation [8].
This transcribes into a powerful technological revolution of automation, towards integration
and transformation of industry IS that organize, their IS for advanced disputes [9]. These
divergent bricks of IS keep clearly transpire connected in structure to avoid inconsistencies
and redundancies of information [10]. The dispute is to aid analysts, executives and decision
makers perceive and use the precise information effectively and efficiently [11]. Numerous
industry snippet significance from the use information they gather by regulating the
information logically and consistently into categorization and characteristics, generating a

Mailasan Jayakrishnan, Abdul Karim Mohamad and Abu Abdullah
taxonomy [12]. When knowledge is organized and indexed in taxonomy, researcher,
practitioners and academicians can get what they need by functional down to further precise
classification, up to a better comprehensive domain of knowledge or covertly to the
associated domain. We have scrutinized taxonomies in the perspective of IS research model
map in an industry for an academic development research on what they are, how they are
utilized and the paradigm of research utilize to organize the four points of view which is the
domain of knowledge, ontology, epistemology, and methodology in Figure 1.
Figure 1 The Fundamental Taxonomy of Research Paradigm Map
Based on Figure 1, the fundamental Taxonomy of Research Paradigm Map characterizes
the four points of view: (1) the domain of knowledge, (2) ontology, (3) epistemology, and (4)
methodology. (1) The domain of knowledge is presently immensely flattering much in the IT
industry and incredibly valuable for software management evolution as expertly [13]. It is
immensely fundamental for software researcher, developers, practitioners, testers and
academicians for observing the urgency of the domain of knowledge for managerial skills,
business skills, technical skills, and system skills. We have categorized the business (domain)
for the current technology revolution in the taxonomy based on business model, emerging
business needs and can give performance faster and better in the IS perspective. Moreover,
we can see the taxonomy foresight on how the domain of knowledge may advance in the
future for their perception, ability, and knowledge that request to a precise field of IS.
Observing at the current situation, we can obviously speculate on the domain of knowledge in
EA perspective that uses to situate the IS and IT of business in an industry. EA is obtaining
it's significant and has enhanced the crucial agenda in any HTHV transformation in most
industries.EA is an implementation that perusal fields of the typical venture within or linking
industries, where knowledge and more accumulation are interchanging to usher an integrated
perspective of managerial skills, business skills, technical skills and system skills [14].
Furthermore, it yields a framework for stipulating the composition and performance of MTI
through the domain of knowledge consists of four (4) levels on data or information,
technology or infrastructure, application or integration and business architecture [8]. In IS,
(2) an ontology point of view expounds conceptualization and their interrelationship of

philosophy approach that brooch to what exists [15]. In the fundamental taxonomy of
research model map, we grasp the IS ontology point of view explicates conception to what
exists in the model and interrelationship in generic. In our ontology point of view, we review
that the taxonomy features by two approaches: the positivist approach and the anti-positivist
approach. (3) The epistemology point of view is justification and intelligence [15].
Epistemology point of view designates epistemological philosophy that is functional for
assimilation the correspondence linking actuality and the framework [16]. One of the
foremost epistemology perspectives is the constructivist theory of learning that grounded in
the academic philosophy that fully understanding to the researcher, practitioners, and
academicians on the action that composition of ability can keep in taxonomy and recover
when entail learning [15].In the fundamental taxonomy of research model map, we grasp the
IS epistemology point of view to perceive actuality to use perception about this actuality
theory on two viewpoints: the goal viewpoint and the subjective viewpoint.(4) The
methodology point of view is the learning and formation of a mechanism for involvement
[17]. We develop the fundamental taxonomy of research model map for the methodology
point of view on learning the mechanism-advance and formation and the empirical use of this
mechanism for the evaluation of scenarios, the blueprint, initiation, and execution of the
management in generic. In today's technology revolution, the methodology point of view
plays a major role in the scenario environment and contented as expertly as a place[13].
Deliberate evaluation of the methodology information prompts realistic articulation
functional as confirmation for assumption dominant to predictions, explanations, decisions,
interpretations, and generalizations [18]. Moreover, academic research usher simultaneously
conceptual and performance in the taxonomy research model map for methodology point of
view that include methods of determining variables and gathering data for analysis [19]. In
the fundamental taxonomy of research model map, we grasp the IS methodology point of
view from the broad scope of present models utilizing a rigid analysis and justification of the
scrutinize the scenario on two perspectives: the objective-positivism perspective and the
subjective-anti positivism perspective. Furthermore, we have strategies and structure the
dynamic taxonomy of research model map in Figure 2, for more assimilation and keeping up
with changing content in the academic development of HTHV revolution.
Figure 2 The Dynamic Taxonomy of Research Paradigm Map

Based on Figure 2, The Dynamic Taxonomy of Research Paradigm Map shows a
futuristic perspective that integrates analytics with taxonomy to generate HTHV revolution in
real-time. The dynamic taxonomy yields an implicit mechanism to regulate and effusion
unstructured knowledge, but a researcher, practitioners, and academicians should understand
the dynamic classification of the four points of view which are the domain of knowledge,
ontology, epistemology and methodology information into an analytical model that allow
MTI to quickly adapt the HTHV revolution. We develop this dynamic taxonomy of research
model map for direction in academic research in requisition to stimulate powerful structure of
philosophical in academic development on scrutinizing and analyze rules, concepts,
principles, and processes when developing for industry case study implementation.
Furthermore, we also organize and obtaining massive divergent information foundation to
clarify HTHV revolution on technological advance and automation towards integration and
towards transformation influence on IS in the future for knowledge use, identification,
formation, distribute and storage for the cognate decision-making process. Therefore, we
have come up with this dynamic taxonomy of research model map divulge the generic
complex of a knowledge base, in a hierarchy of four points of view which is domain of
knowledge, ontology, epistemology and methodology that is visible to the researcher,
practitioners and academicians on analytical mechanism as formula to change when it’s time
to forge changes in MTI towards HTHV revolution. The dynamic domain of knowledge is a
strategic decision that empowers systematic and interoperable retrieval and dispenses with
knowledge, information, and data beyond structuring necessity and natural workflows
inherent formation that we have strategies and mapped towards managerial skills, business
skills, technical skills, and system skills in Figure 3.
Figure 3 The Dynamic Domain of Knowledge
Based on Figure 3, The Dynamic Domain of Knowledge shows the managerial skills,
business skills, technical skills, and system skills integrated for manageable and congenital
performance to approach massive information foundation at the conceptual level and at
divergent levels of management in the industry case study, through a comprehensive
powerful visual interface. We are all intimate with the MTI-HTHV revolution where self-

decision making system is needed when not whether[8]. We need to adopt the dynamic
domain of knowledge on the managerial skills focusing on wisdom analysis systems-
knowledge and ability of the managerial place, business skills focusing on strategic decisions
for the executives as tacit knowledge-comprehension characteristic while monitoring all
dominant levels of emotional intelligence, technical skills and system skills are focusing on
EA acting as the bridge linking the industry environment and the system work in domains.
Therefore, EA will change the character of many divergent categories of the profession in a
system that we can previously forecast and an approach that we cannot balance visualize
today [14]. The advantage of EA forge to aid and guide industries in a dynamic perspective,
where we have come up with the dynamic ontology point of view to support and integrated
with the current HTHV revolution of automation towards integration and towards the
transformation and the future of industry incline to pivot on the technique in which
technological advancement is influencing further economies in Figure 4.
Figure 4 The Dynamic Ontology Point of View
Based on Figure 4, The Dynamic Ontology Point of View shows the four (4) paradigms
of ontology theory focusing on the positivist approach-objective consists of (1) radical
structuralist defining conflict theory and (2) functionalist defining objectivist, instrumental
reasoning and reality and the anti-positivist approach-subjective consists of (3) neohumanism
(radical humanist) defining critical theory and (4) social relativism (interpretive) defining
symbolic interactions, sense-making andrelativism. The dynamic ontology point of view
components integrating the sociology of radical change (conflict) the greater value creation
towards strategic importance of EA with the sociology of regulation (order) the greater
maturity towards comparative ability of EA, we use dynamic ontology point of view
components with the fundamental ontology features-operation and with the designation
features-category for case study research and come up with dynamic ontology point of view
for MTI-HTHV revolution focusing on the anti-positivist approach-subjective consists of
neohumanism (radical humanist) defining critical theory constitute something occurrence.
The critical theory is the theoretical foundations of the IS and the future of IS as a
discipline[20]. We have met the prospective benefaction of critical theory towards advance

knowledge in IS development and discovering options to subsist HTHV revolution in MTI
from the perspective of advantage, action, and knowledge integrated aspect of actuality.
Furthermore, we can develop EA framework for MTI and visualize the analytical elements
for HTHV revolution. EA undergo to transfer their focus from technology standardization
towards IS 4.0-driven technology intelligence where we have come up with the dynamic
epistemology point of view to focus on give stakeholder-driven methodologies and espouse
broad information and technology ability for performance of MTI through the domain of
knowledge consists of four (4) levels on data or information, technology or infrastructure,
application or integration and business architecture in Figure 5.
Figure 5 The Dynamic Epistemology Point of View
Based on Figure 5, The Dynamic Epistemology Point of View identifies the
epistemological philosophy on two (2) viewpoints: (1) the objective viewpoint-positivist
approach that consists of radical structuralist defining structured analysis for organizational
cybernetics and as a system and functionalist defining structured analysis for hard systems
thinking in the perspective for realistic ontology as predicted and controlled and (2) the
subjective viewpoint-anti-positivist approach that consists of neohumanism (radical
humanist) defining structured analysis for critical systems thinking and social relativism
(interpretive) defining structured analysis for soft systems thinking in the perspective for
hermeneutic methodology as understanding and knowledge. We use dynamic epistemology
point of view identifies the epistemological philosophy for case study research and come up
with dynamic epistemology point of view for MTI-HTHV revolution focusing on the
subjective viewpoint-anti-positivist approach that consists of neohumanism (radical
humanist) defining structured analysis for critical systems thinking emerge hierarchically
from actuality that is precise position of structure grasp in industry. The critical systems
thinking are a systems perspective to case study research and intercession in the compound
environment [21]. We focus on critical systems thinking theory towards actuality in IS
development and assimilation this constructivism philosophy empowers HTHV revolution in
MTI to explicate the thinking beyond the subsist EA methodologies and hence enable for
further adaptability consists of three (3) approach on critical perception-action that presume

periphery criticism by considering in formalized method include scrutinize yield conclusion,
advancement-inauguration or proper change that critical perception is requisite to any venture
at determined action and methodological pluralism-utilize systems mechanism that is
dynamic and adaptable for dynamic methodology point of view in Figure 6.
Figure 6 The Dynamic Methodology Point of View
Based on Figure 6, The Dynamic Methodology Point of View indicates the theory
assumptions about the ontology, epistemology and methodology point of view that consists
of two (2) perspectives: (1) the objective-positivism perspective defining the epistemology on
prediction and control and prescriptive and normative model followed by methodology on the
inductive and deductive, instrumental and theoretical sphere and (2) the subjective-anti
positivism perspective defining the epistemology on explanation and understanding and
descriptive model followed by methodology on interpretive, dialectic and aesthetic sphere,
we use dynamic methodology point of view with the structural method for case study
research and come up with dynamic methodology point of view for MTI-HTHV revolution
focusing on the subjective-anti positivism perspective defining the epistemology on
explanation and understanding and descriptive model followed by methodology on
interpretive, dialectic and aesthetic sphere in which we understood and analyzed for
determining perfection and its use in EA methodologies. We focus on subjective-anti
positivism perspective towards actuality in IS development and integrate the information-
aspire towards HTHV revolution in MTI for enhance the entire analysis to subsist EA
methodologies and cluster of execution-the as-is and to-be framework which solicits a
dynamic taxonomy of research model map linking more inauguration and stabilization in a
systemic intercession to discuss compound industry problematic scenarios in a dynamic
taxonomy evolution-determinate divulge automation towards integration and towards the
transformation.
3. METHODOLOGY
Changes to academic research methodology stimulate by a philosophical theory viewpoint on
taxonomy evolution [22]. The dynamic methodology point of view of integrated systems,

together with their inclination towards HTHV revolution and interaction beyond MTI, entail
changes in traditional perspective of the performance and function of theory and analysis.
Traditional perspective of causality to pivot on development and co-adaptation[23]. Since
show a dynamic methodological point of view is a necessity for the dynamic taxonomy of
research model map integrated with HTHV revolution empirical-industry case study, our
research paper sight to review EA methodological choice in an empirical-industry case study
on dynamic methodology point of view and scrutinize how efficiently they oblige the
involvement of the EA conceptualization. The situation is not perceived as a backdrop, yet
slightly as a nexus system itself, chain to further integration systems and variability in EA
methodology grasp on surge dominance [2]. To analyze the characteristic of the dynamic
methodology point of view development, we have design generally the taxonomy domain
model of knowledge-based in methodological fundamental and overview of the precise
mechanism in Figure 7.
Figure 7 The EA-IS Research Methods Associated with Methodologies
Based on Figure 7, The EA-IS Research Methods Associated with Methodologies
focusing on two (2) mechanism: (1) the positivist-measurement for laboratory research field
conceptual as a researcher or research group on numeric data type as idea by observing
literature review and experience through case studies and surveys or performing experiment
in the lab as experiments utilizing tools for measurements, counting, induction and deduction
instruments as an quantitative-statistical conceptual and (2) the anti-positivist-observation
and discussion for field research study conceptual as a researcher or research group on text
data type as idea by observing literature review and experience through case studies and
surveys or performing experiment in the lab as experiments utilizing tools for interviews,
questionnaires, formal and informal documentation instruments as a qualitative-hermeneutics
conceptual. During an incremental methodological point of view action, we need to perceive
and adapt the dynamic taxonomy of methodology point of view in EA-IS strategic
perspective to check its advantage as it acquires transform towards HTHV revolution of MTI.
We instantiate this methodology point of view in EA-IS strategic perspective for an
incremental philosophy-strategic methodology in Figure 8.

Figure 8 The EA-IS Research Methodologies Adapted with Strategies
Based on Figure 8, The EA-IS Research Methodologies Adapted with Strategies in two
(2) ontology strategy: (1) the objective-positivist refining epistemology as positivism
focusing on prediction and control as its research goal and the research outcomes an
application model, theorem proofs and hypothesis, since the methodology is a measurement
with hypothetical-deductive and experiments as its fundamental methodologies and (2) the
subjective-anti positivist refining epistemology as anti-positivism focusing on understanding
as its research goal and the research outcomes will be models or frameworks, new concepts
or theories, and new applications, since the methodology is an observation, discussion and
textual analysis with interpretive, case study and action research as its fundamental
methodologies. We surmise the EA-IS research methodologies adapted with strategies
enumerate significance in HTHV revolution of MTI foundation upgrade. Employing this
significance, the researcher, practitioners and academicians need to assimilate its taxonomy
approach adopted with strategies in the industry perspective add the HTHV revolution hinge
with IS can request an EA methodological choice in empirical-industry case study evaluation
of the incremental the four (4) top EA methodologies acquisition action. They can then learn
when this action presumes to check the timeline frame of EA methodologies towards HTHV
revolution of MTI in Table 1.
Table 1 The Dynamic EA Methodologies Timeline Frame
Real Time
1980 1990 2000 2010 Beyond
Methodologies
Zachman
Framework
Federal
Enterprise
Architecture
(FEA)
TOGAF 8.0 Gartner TOGAF 9.2
Significant
Chronicle the
nexus IS that are
existing in the
current
Perspective to
evaluating the
success of
utilizing the
Step by step
process to create
EA.
Designing
direction for the
EA that
advance past
Yield a process
of skills,
responsibilities,
and roles of EA.

enterprise. EA to drive
business
value.
technology
option.
Indicators
-Enterprise
-Technician
-Engineer
-Architect
-Business
Management
-Executive
-Performance
-Business
-Data
-Application
-Infrastructure
-Strategy
-Security
-Vision
-Business
-IS
-Technology
-Opportunities
and Solutions
-Migration
Planning
-Implementation
Governance
-Change
Management
-Environmental
Trends
-Business
Strategy
-Closing the
Gap
-Future state
-Current state
-Governing and
managing
-Organize effort
-Vision
-Business
-IS
-Technology
-Opportunities &
Solutions
-Migration
Planning
-Implementation
Governance
-Change
Management
Intersection
Roles
-Owner (Model
of business)
-Ballpark
(Scope)
-Designer
(Technology
Model)
-Builder
(Detailed
representations)
-Architect
(model of the IS)
-Functioning
system
-Governance
-Principles
-Method
-Tools
-Standards
-Use
-Reporting
-Audit
-Business
-Data
-Application
-Technology
-Business
Owners
-Information
Specialist
-Technology
Implementers
-Meta
viewpoint
-Business
-Data
-Application
-Technology
Classification
-What (data)
-How (function)
-Where
(network)
-Who (people)
-When (time)
-Why
(motivation)
-Service
delivery
-Functional
integration
-Resource
optimization
-Authoritative
reference
-Security
-Data
-Application
-Systems
-Solution
(integrating)
-Requirements
-Principles
-Models
-Deliverable
-Artifact
-Building block
Table 1 indicates The Dynamic EA Methodologies Timeline Frame, scrutinize how
efficiently they oblige EA conceptualization and systematic intelligence can help regulate
when an advanced model and consistent with the HTHV revolution. These four (4)
significant methodologies in EA: (1) Zachman Framework-precisely stipulate as a taxonomy,
(2) The Open Group Architecture Framework (TOGAF) exactly interpret as a process, (3)
The Federal EA (FEA) an implemented EA or a prescriptive methodology for generating EA
and (4) The Gartner Methodology-EA practice [11], [14], [24], [25]. As an outcome, we
carefully review and analysis the HTHV revolution and necessity is a dominant stride in
generating a dynamic taxonomy for EA towards HTHV approach in MTI.
4. ANALYSIS
The chronicle of the EA domain goes back 20 years; the discipline is yet advancing and
quickly changing [26]. EA transcribing business strategy and vision powerful changes of an

enterprise for assuring significant agility and improving advantage for infusing measures
[11]. We define EA as a strategic application for optimizing implode elements of an action
for significant agility and preferable speculation conclusion. Therefore, EA is a direction for
holistically and proactively dominant MTI reaction to inventive drive by analyzing and
identifying the HTHV revolution performance of change toward suitable industry vision and
outcomes. We yield practicality by furnishing the dynamic EA methodologies timeline frame
and have come up with intelligence-organized guidance to adapt HTHV revolution in MTI
and show target industry development that maximizes on suitable industry obstruction in
Table 2.
Table 2The Analysis for EA Methodologies Timeline Frame Literature
No. Benchmark
Methodologies
Zachman
Framework
Federal Enterprise
Architecture (FEA)
Gartner
TOGAF
9.2
1 Taxonomy completeness 4 2 1 5
2 Process completeness 1 2 3 4
3 Reference-framework direction 1 4 1 3
4 Practice direction 1 2 4 2
5 Maturity framework 1 3 2 3
6 Business focus 1 1 4 2
7 Governance direction 1 3 3 2
8 Partitioning direction 1 4 3 2
9 Prescriptive catalogue 1 4 2 2
10 Vendor neutrality 2 3 1 4
11 Information availability 2 2 1 4
12 Time to value 1 1 4 3
Total Benchmark Percentage (%) 17 31 29 36
Total Dynamic Transition Stages (%) 28 52 48 60
Based on Table 2, The Analysis for EA Methodologies Timeline Frame Literature shows
the four (4) significant methodologies in EA: (1) Zachman Framework achieved 17%
benchmark for its progress towards HTHV revolution, (2) The Federal EA (FEA) achieved
31% benchmark for its progress towards HTHV revolution, (3) The Gartner Methodology
achieved 29% benchmark for its progress towards HTHV revolution and (4) The Open Group
Architecture Framework (TOGAF) 9.2 achieved 36% benchmark for its progress towards
HTHV revolution. We need a dynamic EA that integrates action to transform strategic desires
into strategic outcomes. Therefore, we can end that the TOGAF 9.2 is congenial with the
change management action towards HTHV revolution in MTI and the benchmark indicator
has shown 60% dynamic transition stages has been achieved. Towards assimilation and
representing these dynamic transition stages benchmark, we strategies scorecard according to
this benchmark. The critical literature analysis shows 12 benchmarks needed to test dynamic
EA methodologies and the relation linking them are recline shows that Table 3.
Table 3 The Benchmark of the Dynamic Transition Stages Achievement
Scale Level Indicator Transition Stages Achievement Benchmark Classification
1 Very Poor Background
Not an entail expertise though should
transpire intelligence to control and
define expertise if requisite.
2 Inadequate Awareness
Understands the framework, scenarios,
and indication sufficiently to transpire
intelligence to assimilate how to
advance further direct industry properly.
3 Acceptable Knowledge The comprehensive intelligence of

discipline domain and skilled in
providing expert guidance and direction.
4 Good Expert
Expertise to merge intelligence into
architecture development.
5 Very Good Dynamic
Voluminous and significant empirical
adventure and appertain intelligence on
the discipline.
Based on Table 3, The Benchmark of the Dynamic Transition Stages Achievement
indicates analytical intelligence, which we use to yield on the action inside each benchmark
in the dynamic EA methodologies timeline frame. The TOGAF 9.2 emphasize automation
towards integration and towards transformation ability for architecture development capacity
in the future of HTHV revolution in MTI. However, the current MTI meet a further dynamic
intelligent domain by automatically process the massive capacity of information taxonomy
that intelligence base for transforming its industry and workforce [6]. Today EA as a
mechanism for strategic management that aid in ushering pragmatic industry action and the
use of IT [27]. We are evolving the most optimistic and divisive technologies that will
transform MTI towards HTHV revolution. Therefore, we have yield MTI status towards
HTHV revolution that systematic intelligence and industry action in Table 4.
Table 4 The EA Analysis for Malaysian Transportation Industry
Malaysian
Transportatio
n
Industry Sector
EA
TOGAF
9.2
HTHV
Revolution
EA
Percentag
e (%)
Total
Integrate
d HTHV
Percentag
e (%)
Total EA
MTI
Percentag
e (%)
Land
Rail Transport
Business
Architectur
e
Overall
digitization
50
47
41
Digital training
and culture
30
Business
Modelling
55
Business
Transformation
60
Business Drive
Architecture
40
Data
Architectur
e
Data management 55
37
Democratized
data access
30
Commercializatio
n plan
45
Data Catalogue 25
Integrated
blockchain
technology
30
Application
Architectur
e
Conducive
Environment
30
37
Data Exchange 45
Training for 50

technology trends
Partnership with
agencies
35
Global Alliances 25
Technolog
y
Architectur
e
Infrastructure
capability
35
43
Communication
plan
40
Technology
across agencies
35
Innovation
infrastructure
45
Performance
monitoring
60
Sea
Maritime
Business
Architectur
e
Overall
digitization
40
49
57
Digital training
and culture
50
Business
Modelling
55
Business
Transformation
45
Business Drive
Architecture
55
Data
Architectur
e
Data management 50
57
Democratized
data access
55
Commercializatio
n plan
60
Data Catalogue 65
Integrated
blockchain
technology
55
Application
Architectur
e
Conducive
Environment
60
58
Data Exchange 55
Training for
technology trends
65
Partnership with
agencies
50
Global Alliances 60
Technolog
y
Architectur
e
Infrastructure
capability
70
63
Communication
plan
60
Technology
across agencies
55

Innovation
infrastructure
60
Performance
monitoring
70
Air
Aerospace
Business
Architectur
e
Overall
digitization
55
65
68
Digital training
and culture
60
Business
Modelling
70
Business
Transformation
65
Business Drive
Architecture
75
Data
Architectur
e
Data management 60
64
Democratized
data access
55
Commercializatio
n plan
65
Data Catalogue 70
Integrated
blockchain
technology
68
Application
Architectur
e
Conducive
Environment
70
70
Data Exchange 65
Training for
technology trends
75
Partnership with
agencies
72
Global Alliances 70
Technolog
y
Architectur
e
Infrastructure
capability
75
73
Communication
plan
80
Technology
across agencies
71
Innovation
infrastructure
60
Performance
monitoring
80
Based on Table 4, The EA Analysis for MTI shows three (3) transportation perspective:
(1) Land Transportation focus on rail transport, (2) Sea Transportation focus on maritime and
(3) Air Transportation focus on aerospace. Based on our systemic literature analysis for the
rail transport on EA methodologies utilizing TOGAF 9.2-the business architecture total
integrated HTHV revolution percentage is 47%, the data architecture total integrated HTHV
revolution percentage is 37%, the application architecture total integrated HTHV revolution

percentage is 37% and the technology architecture total integrated HTHV revolution
percentage is 43%. Therefore, we can end the total EA MTI percentage get for rail transport
is 41%. Followed by the maritime on EA methodologies utilizing TOGAF 9.2-the business
architecture total integrated HTHV revolution percentage is 49%, the data architecture total
integrated HTHV revolution percentage is 57%, the application architecture total integrated
HTHV revolution percentage is 58% and the technology architecture total integrated HTHV
revolution percentage is 63%. Therefore, we can end the total EA MTI percentage get for
maritime is 57%. Finally, the aerospace on EA methodologies utilizing TOGAF 9.2-the
business architecture total integrated HTHV revolution percentage is 65%, the data
architecture total integrated HTHV revolution percentage is 64%, the application architecture
total integrated HTHV revolution percentage is 70% and the technology architecture total
integrated HTHV revolution percentage is 73%. Therefore, we can end the total EA MTI
percentage get for maritime is 68%. Based on our methodologies and literature analysis, we
are possession the taxonomy of EA towards HTHV approach in MTI and give intelligence
the mechanism the industry wants to view it and chronicle how the IS, industry action and
workforce in an industry outcome as a taxonomy needed by the researcher, practitioners and
academicians to assimilate its taxonomy approach of the future industry case study.
5. CONCLUSION
Preferable management of taxonomies in EA towards HTHV approach in MTI, ontologies,
epistemologies, and methodologies assure that they will help the researcher, practitioners, and
academicians to acquire further significance of the future industry case study. The scenario of
situating and merge industry and IT are hinder many industries in their strategic and HTHV
revolution growth [28]. Designing dynamic taxonomy of research model map cohesive with
four points of view which are the domain of knowledge, ontology, epistemology and
methodology information into an analytical model that allow MTI to quickly adapt the
HTHV revolution send to manage these scenarios. Unfortunately, no EA methodologies now
subsist that completely let cohesive EA towards HTHV approach in MTI. The dynamic
taxonomy yields an implicit mechanism to regulate and effusion unstructured knowledge, but
a researcher, practitioners, and academicians should understand the dynamic classification of
the surpass coordination of philosophy and terminology significant beyond automation,
towards integration and transformation of industry IS that organize their IS for advanced
disputes. We present a taxonomy of EA towards HTHV approach in MTI assimilation on
dynamic ontology, epistemology and methodology ability that explicitly grasp the EA
methodologies and HTHV revolution as an industry case study. Changing and arising
intelligence merge with HTHV revolution so that it can yield the significant benefit to MTI.
There is a significant division between the researcher, practitioners, and academicians as to
understand the EA methodologies towards HTHV revolution in MTI. The current research
paper aspires to refine the fundamental and dynamic taxonomy of research model map,
outlining related EA methodologies timeline frame from the academic literature and direct
divergent aspect in EA implementation towards HTHV revolution in MTI by divulge the
ontological, epistemological and methodological dispute about EA and the cognate
perception to yield one step apropos developing theoretical foundations of the field.
ACKNOWLEDGEMENT
The authors would like to thank the editor and the anonymous reviewers for their
encouragement, constructive, invaluable reviews and recommendation to enhance the quality
excellence of this research paper. The authors also would like to thank Universiti Teknikal

Malaysia Melaka (UTeM) for the UTeM Zamalah Scheme for sponsorship and supporting
this research work.
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