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Lean Enterprise Architecture Method for Value Chain Based Development in Public Sector

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Enterprise architecture (EA) was first developed in the late 1980's and has been since promoted as a method that can conquer the problems in aligning the business and information technology (IT). EA has been widely used in the private and public sectors. Finnish government's EA work started over ten years ago by customising the EA framework, method and governance model. After new versions, the Finnish EA method (based on TOGAF) is still considered as too rigid, and full-scale use requires quite a lot resources-and in some cases benefits of EA are unclear. In this design science research, we propose intertwining EA into organisation's development work. We call this method Lean EA development (LEAD) since it combines value chain based operating model with an agile EA practice, which focuses on operational level, linking EA directly to business demands and adding customer value. The LEAD can be adapted to any size of a target area such as to a business domain, whole organisation or wider ecosystem. In practice, the LEAD operating model organises capabilities around the value delivery chain. The revised architecture practice is cooperating with other functions, when developing services from ideas to production. Collaboration with different stakeholders and architecture visualization are the most important principles. Usage of an EA visualisation tool is a key enabler component of the LEAD, as every development target is visualised and published continuously. This approach is operated with lean management based on agile principles and enables EA as an important practice in the overall development. We have adopted and used the LEAD in a public organisation, one of the largest cities in Finland, and use this case as an illustration on how the concept can be used.
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Lean Enterprise Architecture Method for Value Chain Based
Development in Public Sector
Eero Hosiaisluoma1, Katja Penttinen2, Juha Mustonen3 and Jukka Heikkilä1
1University of Turku, Finland
2University of Jyvaskyla, Jyväskylä, Finland
3Gofore, Helsinki
eero.hosiaisluoma@gmail.com
katja.i.penttinen@jyu.fi
juha.mustonen@gofore.com
jups@utu.fi
Abstract: Enterprise architecture (EA) was first developed in the late 1980’s and has been since promoted as a method that
can conquer the problems in aligning the business and information technology (IT). EA has been widely used in the private
and public sectors. Finnish government’s EA work started over ten years ago by customising the EA framework, method and
governance model. After new versions, the Finnish EA method (based on TOGAF) is still considered as too rigid, and full-scale
use requires quite a lot resources – and in some cases benefits of EA are unclear. In this design science research, we propose
intertwining EA into organisation’s development work. We call this method Lean EA development (LEAD) since it combines
value chain based operating model with an agile EA practice, which focuses on operational level, linking EA directly to
business demands and adding customer value. The LEAD can be adapted to any size of a target area such as to a business
domain, whole organisation or wider ecosystem. In practice, the LEAD operating model organises capabilities around the
value delivery chain. The revised architecture practice is co-operating with other functions, when developing services from
ideas to production. Collaboration with different stakeholders and architecture visualization are the most important
principles. Usage of an EA visualisation tool is a key enabler component of the LEAD, as every development target is visualised
and published continuously. This approach is operated with lean management based on agile principles and enables EA as
an important practice in the overall development. We have adopted and used the LEAD in a public organisation, one of the
largest cities in Finland, and use this case as an illustration on how the concept can be used.
Keywords: enterprise architecture, lean enterprise architecture, lean management, agile development, value chain,
visualisation, public sector
1. Introduction
The ongoing digital transformation requires many different policy areas to be considered simultaneously in an
integrated approach (Tan and Pan 2003, Janowski 2015). The need for an integrated approach, forces
governments to overcome silo-based structures and to promote cooperation at the different levels of
government to develop a whole-of-government strategy (OECD 2017). The significance of information systems
and technology is increasing, and still the need for alignment between business and information technology
remains a major challenge, especially in the public sector (Rusu and Jonathan 2017). To lead the digital
transformation to desired direction, organisations need holistic view on their information assets. This kind of
information can be achieved by the appropriate use of EA.
The Finnish government’s EA work started over ten years ago by customising the EA framework, method and
governance model. The main goal of the work was to improve interoperability of public organisations’ operations
and services. The Finnish Act on Information Management Governance in Public Administration was passed in
2011 (Finlex 2011). The act makes the use of EA mandatory, for example, in central government offices, courts
of law and cities when they conduct tasks laid down for them by law. According to the law, public sector
organisations in Finland should use the national EA method and its guidelines in EA planning and management.
Using a mandatory approach has been successful at improving the European wide interoperability (Gatti et al
2017), the Finnish national EA method, based on TOGAF (2018), is considered as too rigid and difficult to
understand. Implementation of the EA method is challenging and its full-scale use requires a lot of resources.
Practical guidelines for step by step guidance for fast and light adoption are missing. This has resulted in a
situation where the adoption of the EA method has become a problem in practice. These are the main factors
that motivate our study. The research question is: What kind of EA approach would provide better solutions for
practice?
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First, as a solution to the above problems, we emphasise EA’s role at the organisational development. Our LEAD
method combines value chain based operating model with an agile EA practice, which focuses on the operational
level, linking EA directly to the business demands and adding the customer value by keeping the end user
services at the focus. Second, we illustrate LEAD’s practical applicability at one of the largest cities in Finland and
use the case study as an example on how the LEAD is used in a real-life setting. This sets our case study in a
constructive research approach, where the LEAD is developed at parallel with the practitioners and reflecting
the experiences upon recent developments of EA and development methods.
We first connect our study to the existing knowledge base by introducing the research background. Second, we
briefly describe the research method. Third, the LEAD is presented. Fourth, we illustrate findings from a case
study to show how the Lean EA can be applied in practice. The results form a basis for further research on Lean
EA and contribute to the discussion about the need to reconceptualize the current EA methods. Finally, we
conclude the work.
2. Research background
At the public sector, policymakers initiate EA programs to improve interoperability, enhance productivity and
improve the standard of service systems (Hjort-Madsen 2006, Janssen et al. 2013, Lemmetti and Pekkola 2014).
Despite the investments in EA, many government EA programs have performed poorly (e.g. Penttinen et al.
2018) and have failed expectations (Hope et al. 2017, Ojo et al. 2012, Saha 2009). The incapability of EA to fulfil
the promises and the challenges of EA, have been researched to some extent (Banaeianjahromi and Smolander
2016, Bui and Levy 2017, Dang and Pekkola 2017, Hauder et al. 2013, Hjort-Madsen 2006, Isomäki and
Liimatainen 2008, Kaisler and Armour 2017). Recently, the need for EA to reinvent itself has been discussed
(Janssen 2012, Lapalme et al. 2016).
We propose reinventing the EA method, using the principles of Lean and agile, to be able to answer in the
requirements of current society and market, we briefly describe the background of Lean management and agile
EA. The Lean has origins in the car manufacturing company Toyota and aims at minimization of waste in the
production process, by focusing only on things that add value (Holweg 2007, Womack et al. 1990). Later the idea
has been adapted to lean management in other areas of business (Womack and Roos 1997). The application of
lean thinking in information management means that it can be considered to involve adding value to information
by how it is organized, visualized, and represented. This enables information to flow to the end-user through
the processes of exchange, sharing and collaboration. (Hicks 2007)
Agile EA is based on agile software development that can be seen as a reaction to traditional methods, which
emphasize rationalized, engineering-based approaches (Dybå 2000, Nerur 2005). In traditional approaches, it is
claimed that problems can be fully specified and there is an optimal and predictable solution for them Dybå and
Dingsøyr (2008). This is similar to traditional EA methods, because it leads to excessive planning and modelling.
In contrast, the agile development methods address the challenge of an unpredictable world by relying on
people and their creativity instead of planned processes (Dybå 2000, Nerur 2005). There is only a limited body
of knowledge on the use of agile in EA. For example, Rouhani et al. (2008) presented an agile EA framework, the
use of agile principles in EA is researched by a survey for the EA professionals (Hauder et al. 2014), using agile
methods in creating EA deliverables and collaboration between architects and software developers is researched
with interviews (Hanschke et al. 2015). At the public sector context Gill et al. (2014) have used an agile EA
framework to develop and implement the adaptive cloud technology-enabled EA. Typically, agile EA uses
principles of agile methods such as iterations and lean thinking, and the key to successful agile EA is realising
that humans are an integral part of the system, not merely just users of the system (Bloomberg 2013). These
kinds of new EA practices require revising EA, but due to the limited research and experiences on the subject,
further evidence is needed.
3. Research method
EA is a socio-technical artifact (Mumford and Weir 1979, Drechsler 2015) and it should be studied as such.
Adopting EA in an organisation is a change intervention, which intersects both social and technical aspects in an
organisation, and successful implementation is a process of change that requires responding to social
interdependencies (Janssen 2012). The change agents are typically enterprise architects, who are managing the
whole with its interdependencies to other activities and processes of the organisation. As we have participated
in the development of a revised EA method to offer a more flexible solution to connect EA work to the overall
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development in a real-life setting of a Finnish municipality, the researchers cannot be considered outsider
observers, but are essential subjects interacting with the organisation under study. The initial version of the
LEAD was co-created in a real setting. We used a pragmatic constructive approach in our research and two
authors worked in the case organisation as reflective practitioners (Heiskanen and Newman 1997), who co-
operate with academics and real-life practitioners to develop new, better suited, socio-technical artifacts and
EA methods.
4. Lean enterprise architecture development
The Lean Enterprise Architecture development concept is a combination of the Lean management and agile EA
practices. LEAD is a pragmatic enterprise development method that is based on collaboration and visualisation.
Those are supported by the practical Lean EA Framework (LEAF), which is enabled by an EA visualisation tool.
The LEAF guides the operational development, in which the EA visualisation tool plays an important role in
practice. All the development targets are visualised on demand.
4.1 The lean enterprise architecture framework
The basic structure of LEAF is illustrated in the abstraction below (Figure 1). The LEAF is a concrete solution to
implement the LEAD in practice.
Figure 1: The LEAF
The LEAF is divided into the following parts: Management, Value Delivery Chain and Architecture Landscape.
The Management part consists of the aspects that direct the enterprise development and motivate the change
activities. The Value Delivery Chain contains the Idea to Production value stream, which represents how services
and other development targets flow from customer-driven demands to production. A Value Stream is an end-
to-end collection of activities that creates a result for a customer. The value stream has a clear goal: to fulfil the
customer demand. The Architecture Landscape contains the actual enterprise architecture content, into which
all the artifacts are created in a just-in-time manner. The LEAF can be implemented on any applicable EA
visualization tool. Based on our experiences from public sector organisation, we have implemented the LEAF as
a reference solution in an EA visualization tool.
The LEAD is a customer centric view of the enterprise that integrates organisation’s capabilities around the value
stream model, instead of the function- or process- based approaches. This can be achieved with the traditional
business architecture approach, but LEAD is not limited to the business perspective only. Our approach is based
on several well-known methods for practical improvement of activities and processes (for example Scrum,
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Kanban and, Service-Driven Approach) that are adapted on demand. Hence, LEAD is a practical concept. The
following examples are from the LEAD versioning IT management development method. For example, the Idea
to Production value stream (Figure 2) describes an operating model in IT management. Regardless, LEAD can be
used as a whole-of-operations model for an organisation. Then also the business capabilities (such as strategy
planning and business planning) and additional value streams (such as goal to strategy and strategy to portfolio)
are visible.
Figure 2: The idea to production value stream
Comparing the LEAD to the traditional EA development approaches, several differences can be identified. The
traditional EA development process is time consuming and resource intense, whereas the LEAD approach is
lightweight and agile. Traditional methods consist of several sequential phases (Figure 3), which is an
appropriate process mostly in the case of large organisations.
Figure 3: Traditional EA process
The LEAD is suitable also for small and medium enterprises, as the LEAD can be adopted and executed with
lesser resources and time. LEAD itself is an agile process without the big planning upfront cycle. The main
difference between the LEAD and traditional EA development approaches is that LEAD is tightly integrated into
holistic enterprise development, not solely taking the architecture and operational viewpoints. The LEAD
approach is focused on delivering the business outcomes that are based on the strategic goals and the customer-
driven demands. The LEAD also incrementally produces new data into Architecture Landscape as new
development targets flow through the value delivery chain (Figure 4).
Figure 4: LEAD approach
The LEAD architecture landscape is a combination of the traditional EA’s current “as-is” and target “to-be”
architectures. The architecture landscape provides the current situation of the organization’s business services,
processes and applications, and planned new services etc. With the LEAD, distinct as-is and to-be architectures
are not maintained as separate entities in large scale. This makes the architecture modelling work faster and
more efficient. Only some specific development targets can be visualized in distinct as-is and to-be views if
needed. Methods that can be applied are e.g. the Open Group Architecture Framework (TOGAF 2018) and the
ArchiMate modeling language (Open Group 2016). In the LEAD, the EA content is produced and delivered
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continuously into the Architecture Landscape. In addition, portfolios and roadmap can be adjusted according to
changing conditions continuously. This approach enables faster development cycles, shorter time-to-market,
better reactivity and productivity compared to conventional approaches (Figure 5).
Figure 5: Conventional EA work compared to LEAD approach
The applied Lean and agile principles encourage to avoid unnecessary big design up-front and redundant
planning activities. However, without planning and governance the organisation’s Architecture Landscape
would, according to law of entropy, drift into chaos. It is reasonable to inspect the new requirements against
the existing Architecture Landscape, putting more emphasis on managing the alignment with mission, vision,
strategy and architectural principles, while learning from experience, as new services are deployed. As a
consequence, the value-adding services are not developed in a vacuum, but into the existing organisational
environment and reflected upon the actors with feedback to the developers. It is also rational to manage the
overall Architecture Landscape with appropriate visualisation tool, in which all the EA content (e.g.
organisations services, processes and applications) are coherently kept in an organised manner. The LEAF
provides the content metamodel and placeholders for the most typical elements of the EA content. This is where
the LEAD operating model plays a role.
4.2 The operating model
Traditionally, the EA adoption has required changes in current operating models, regarding IT/IS planning and
implementation, project and program management, and IT management (Seppänen et al. 2018). In contrast,
LEAD is based on the principle, that existing operating models and capabilities are utilised as much as possible.
The operating model may vary in the different cases, but the main principle is to guarantee the right capabilities
on demand in the Idea to Production value stream. This makes it easier to understand the development
processes. The LEAD Operating Model at high-level is presented in the Figure 6.
Figure 6: The LEAD Operating Model at high-level
Following the Idea to Production value stream (Figure 2 above and Figure 6 below), at the design phase a small
multidisciplinary demand management team takes care of handling all the incoming demands. The demand
management capability is the core capability of the LEAD operating model and the team co-operates in order to
find the most suitable solution for the customer’s demand. The team consists of specialists e.g. from customer
relationship management, operational development and enterprise architecture management and agile
methods and tools (e.g. Scrum and Kanban) are utilized in the process. The development phase contains build
or buy activities managed by the project management office (PMO), and detailed service- or business design
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activities when necessary. The operations phase covers production capabilities managed by the service
management office (SMO). In addition, the Idea to production value stream supports portfolio management,
thus portfolios for ideas, development, IT services and applications are maintained within LEAF.
The aim is to keep the operating model light and to be able to change it when needed. For these purposes a
Lean Manager, is responsible for the management of the whole value chain, making sure continuous
improvements are made to the processes. In the LEAD, the architect’s role is to participate in the development
processes and give support when needed.
5. Findings form the case
The LEAD has been adopted at city of Vantaa. Vantaa is the fourth biggest city in Finland with over 220 000
inhabitants and located in the southern part of Finland. Responsible organisation for the LEAD was IT
department of the city. There were several reasons behind the decision to start planning and implementing new
way of reorganising information and communication technology (ICT) development, reasons like the lack of
overall insight and visibility of the overall enterprise development, and the siloed organisation culture in which
the EA did not have productive or cooperative role to support organisation’s ICT projects. Approach was too IT-
centric instead of being customer-centric, and overall organisation structure was containing also some
overlapping functions related to EA.
The main challenge was the poor effectiveness of the EA framework in use, which was an adapted version of the
Finnish national EA method. City of Vantaa had decided to use this EA method 2011 by the same time the Finnish
act was passed, making the use of EA mandatory. Unfortunately, the method was not considered to be suitable
for the organisation’s needs and caused a situation where stakeholders were not satisfied with the role of EA.
This resulted the management to question the usefulness of the EA practice.
By the end of 2016, the chief information officer (CIO) requested to completely redesign the IT development
process. It was decided, that the new development model should be more customer-centric, lean and agile; with
practical and cooperative architecture function in it. The essential target with the new development model was
to improve the demand management on the interface with internal customers’, and to produce fast and
justifiable solution proposals for these customers of the IT department. In the beginning, the new development
model was described as the Lean EA, aiming to implement lean and agile way to produce EA. For the effective
use of EA, tool support was needed and was operationalised. The tool (QPR Enterprise Architect) is used for the
EA visualisation and is provided free of charge by the Finnish government for public sector organisations’. It
includes the free use of the open publishing portal for the EA descriptions, that is provided by the Finnish
Population Register Centre as software as a service model.
In practice, the first version of the new development method was designed by the architecture team. The idea
was to establish a co-creation model in which most of the department’s specialists could participate. All the
phases were carefully designed by the team, and based on the plans following steps of the LEAD were
introduced:
The new role “Lean Manager” takes the leading position in the overall development, being the only new
role at the organisation.
New IT capability, multidisciplinary “Demand Management” virtual team is established for handling
incoming business requests. Internally the team is called “Solution office”.
The new lean and agile practices, methods and tools are introduced and adopted in the overall
development, such as web-enabled collaboration tools, backlogs, Kanbans, and daily scrums.
LEAD is deployed, Demand Management as its core capability, and architects are involved.
The EA team is reorganised. New chief architect is appointed outside the organisation and the new
governance model is activated.
The use of the EA visualisation tool is agreed with the CIO and taken into use immediately.
The LEAD Operating Model is introduced, and it defines organisational actors, processes and information.
The LEAF is introduced.
PMO and SMO are integrated into LEAD.
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LEAD performance metrics are introduced and implemented.
Within one-year development period (Figure 7), the IT development work concerning all the main phases of the
LEAD method: Design, Development and Operations was reorganised. There are parts of the model that are not
fully functional yet, but LEAD’s lean and agile nature enables continuous improvements. For example, Demand
Management capability was changed, because it was considered too heavy. The number of participants was
reduced, design meeting was shortened and divided into general and technical parts.
To support open government principles and to provide knowledge for other public sector organisations, the
LEAD framework was partly published in the Finnish Population Register Centre’s EA modelling service. Since
the use of the Finnish national EA method has been challenging in many organisations, there has been a lot of
interest in the LEAD work in Vantaa and there are other cities starting the adoption of the LEAD.
Figure 7: The development process in Vantaa
The learnings from this first LEAD adoption can be used to help in the beginning of the work. It is very important
to have the support from the management from the start. In Vantaa the CIO’s strong support has abled the
acceptance of the new model and the change resistance has been moderate. Some functions were first not light,
fast and small enough in Vantaa and are to be redesigned. In the next implementation projects this should be
noted, to be able to keep the work as lean and agile as possible. There have been changes in the language used
about the development work, with the LEAD the key is to talk about adding the customer value and the need to
talk about EA itself is reduced. This is an advantage, since after the long and challenging implementation period
of the mandatory EA in the Finnish public sector, the word EA has become almost a swear word in the Finnish
public sector (Penttinen et al. 2018). When the EA is an integral part of all the development work, the
disconnectedness of the EA work is diminished.
6. Conclusions
The use of the national EA method has been mandated by law in Finland since 2011. In practice, the
implementation and use of the method have been challenging (Seppänen et al. 2018, Penttinen et al. 2018) as
the method is considered rigid, hard to understand, and its implementation and use requires a lot of resources.
There has been a need for an EA method that would allow easy implementation, be flexible and intertwined in
the existing development processes. Also, the customer viewpoint has been missing. In this study, we proposed
the LEAD as a solution to these practical problems in the use of EA in the public sector.
Using pragmatist-constructive approach, we studied the change as reflective practitioners. We first presented
the problem area by arguing that traditional EA methods have not been able to fill up the expectations of
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business and IT alignment and using them is considered as a laborious and discouraging. Hence, we
acknowledged the need for revising EA. We developed a solution to the problems of traditional EA in the public
sector at the case study in the city of Vantaa. Here we present our solution, the LEAD concept. It combines Lean
management as value chain based operating model and agile practices into EA. The following four lessons are
learned. First, LEAD is a co-creation project with enterprise architects, developers, users and management. The
use of LEAD requires iterations and adaptation to the context of use. Second, we demonstrated the use of LEAD
by describing the findings from the case. From over a year lasting practical experience of using LEAD, we can
argue that the concept seems to be working. The key is to combine management, Value Delivery Chain and value
chain and Architecture Landscape to achieve targeted value to the customer by utilising agile development.
Third, the adoption of LEAD in Vantaa required substantial changes on service development and organisation of
the IT department. To succeed in making the changes and continues use, a strong top management interest and
support are required. Fourth, the LEAD in Vantaa was initiated as an IT department project, but further
development is aspired and needed to make it suitable for more extensive development settings, such as
accelerating digitalisation at the organisational level. Nevertheless, more experience, preferably from another
cases, is needed. To be able to evaluate thoroughly, more research is needed. The evaluation by comparing the
objectives of the LEAD to actual observed results from use of the artifact in the demonstration, is subject to
future research.
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... AEA, recognized as a possible answer to the complexities of Enterprise Architecture, is gaining attention and proposals in the industrial and professional sectors [6,8,9]. In recent years, Agile Enterprise Architecture has attracted attention from global scholars as solution to answer complex EA program problems that have an impact on the success of digital transformation ( [4][5][6]8,[10][11][12][13]). ...
... Some of their research related to adaptive EA includes the Adaptive Enterprise Service System (AESS) model [14], managing adaptive enterprise architecture that supports cloud technology [7], identifying standard Agile EA artifacts [15] and measuring the effectiveness of communication in Geographically Distributed Agile Development [13]. Research using agile methods in designing and implementing EA was also conducted by Hosiasislouma uses a pragmatic approach to apply Agile methods in EA management in the public sector in Finland [11]. Masuda et al., used the Agile method to answer problems in the EA program in the health sector by proposing AIDAF and claiming that the AIDAF approach had advantages compared to TOGAF which was considered too complex and a big up front architecture in the planning phase [16]. ...
... Ramos, et al. [33], to deal with uncertain environments caused by constant changes in requirements, they proposed a framework for developing EA projects by adopting an Agile approach used in software development, such as Extreme Programming and Scrum to the domain enterprise architecture. The framework is called Extreme Enterprise Architecture Planning which consists of 11 values & principles, business macro-process model, data architecture, application architecture, components that are worked on in the first iteration. Furthermore, the business process model, current system & technology, data architecture, application architecture, and technology architecture components are worked on in the second iteration. ...
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Enterprise Architecture (EA) development with an Agile approach is believed to be an alternative solution to various current EA development challenges. Agile Enterprise Architecture (EA) is an EA development that applies Agile principles and focuses on collaborative and incremental de-velopment, adaptation, and sharing information about business and IT modes to guide the ef-fective implementation of Agile projects. There have been many discussions of literature related to EA management, but literature review studies that specifically describe Adaptive or Agile EA management are still rare. The research method of this study follows two consecutive phases: bibliometric analysis and content based analysis. First, bibliometric analysis utilizing the VOSviewer software to identify the state of the field and global research patterns in Agile EA from 2012 to 2023, including author and institutional distributions, frequent categories and keywords, contributions from journals and authors, and highly cited works. Next, thematic analysis and meta-analysis to reveal various frameworks or models used in agile EA implementation and its dimensions. The extracted bibliometric and content data from 59 selected articles were processed using the VOSviewer tool for identifying and understanding the relationships between main concepts through network mapping. There are several Agile-based EA frameworks based on empirical research found in EA development, such as Adaptive Enterpise Architecture, Adaptive Integrated Digital Architecture Framework (AIDAF), Lean Enterprise Architecture Frameowrk (LEAF), Scrum for EA, and several other Agile EA frameworks developed that have been ob-served. Various agile methods have been adopted in developing the agile EA framework, in-cluding its application in various industrial sectors in several countries, the risks faced and future research opportunities to increase the effectiveness of agile EA implementation in Digital Transformation.
... One of the biggest challenges faced by Information Technology (IT) managers is to ensure that the technologies used by the organizations are perfectly aligned with the business objectives and the satisfaction of their customers (Ferreira et al., 2017). In this context, the concept of Enterprise Architecture (EA) has gained importance, being established as a fundamental element for the management of information assets of organizations (Hosiaisluoma et al., 2018). ...
... More recently, EA methods have been criticized for being heavy and rigid (Hosiaisluoma et al., 2018;Kotusev, 2018;Gill, 2015;Hauder et al., 2014). The most popular EA framework, the Open Group Architecture Framework (TOGAF), for example, is heavily based on processes, tools, and artifacts, similar to what occurs with traditional approaches for developing software that are heavily based on planning and engineering (Haren, 2011;Dybå and Dingsøyr, 2008;Nerur et al., 2005). ...
... In response to those criticisms, Agile Software Development (ASD) has been widely applied in the software industry (Ambler, 2013;Hauder et al., 2014) and, more recently, its principles, values, and agile project management practices have been tested in the context of EA (Hensema, 2015a;Hosiaisluoma et al., 2018;Rasnacis and Berzisa, 2017). ASD promises flexibility, velocity, lean, learning, and adaptability, characteristics that motivated previous research efforts to implement agile concepts in the EA context (Qumer and Henderson-Sellers, 2008;Dybå and Dingsøyr, 2008). ...
Conference Paper
Organizations need a holistic view of their information assets in order to lead a digital transformation. Information assets can be obtained from modeling the Enterprise Architecture (EA) of the organization. However, the current EA modeling methods have been criticized for being heavy and rigid. In fact, EA modeling methods present similar problems to those faced by traditional software development (waterfall) methods. We propose that EA modeling could benefit from ideas presented in the Agile Manifesto. Previous research already pointed out the importance of finding the ”ideal” boundaries for the intersection between agile software development methods and EA practices. In this paper, we apply the Design Science Research Methodology (DSRM) to propose an Agile Enterprise Architecture Modeling Method based on agile principles and values. The proposal was demonstrated in two organizations, from which we extracted evidence such as continuous deliveries, short interactions (Sprints), proximity to customers, and systematic improvements in the process. We conclude that our proposal can improve EA modeling.
... [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [47], [60], [61] Empirical, i.e., based on empirical data. (N= 27) [62], [39], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [18], [40], [73], [19], [74], [75], [38], [76], [77], [20], [78], [79], [80], [81], [82] ...
... The organization should define, institutionalize, and use EA principles to ensure that EA products are endowed with architectural properties such as modularity, loose coupling, adaptability and standard interfaces [62], [77]. These architectural properties, as discussed in the previous sub-section, will improve the reconfigurability of EA products, and support ITenabled organizational agility in the long-term. ...
... Lastly, EA initiatives should incorporate both bottom-up and top-down EA processes that are selfimproving and adaptable to different use contexts [62], [68], [77]. Incorporating bottom-up and top down EA processes allows EA teams to, on the one hand, respond to changes, and take advantage of innovations, from downstream EA processes, and on the other hand, respond to strategic initiatives from upstream EA processes. ...
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To survive in a dynamic environment, an organization must possess the ability to swiftly sense changes and (re)deploy reconfigurable resources in response to the changes (i.e., organizational agility). The literature suggests information technology (IT) can enable and constrain organizational agility, making IT-enabled organizational agility usually fleeting. Drawing on a systematic review of 43 articles and on organizational agility theories, this study identifies two main roles that EA can play in building and sustaining IT-enabled organizational agility. First, EA can endow IT-enabled resources with architectural properties that make them reconfigurable. Second, EA process practices provide the ability to form, continually improve, and redeploy reconfigurable IT-enabled resources in response to emerging changes. The architecture properties and EA process practices, together with their implications are discussed. This study contributes to clarifying the link between EA and IT-enabled organizational agility and to explaining how EA can help build and sustain IT-enabled organizational agility.
... On the one hand, EA was considered as an effective tool to bring agility to organizations [1,2], and organizations are increasingly relying on the agility to "cope with rapid, relentless, and uncertain changes and thrive in a competitive environment of continually and unpredictably changing opportunities" [3]. On the other hand, researchers advocated that EA by itself should be agile [4,5], as traditional frameworks-based EA is often "too rigid, and full-scale use requires quite a lot resources" [6] and "in some cases benefits of EA are unclear" [6]. ...
... On the one hand, EA was considered as an effective tool to bring agility to organizations [1,2], and organizations are increasingly relying on the agility to "cope with rapid, relentless, and uncertain changes and thrive in a competitive environment of continually and unpredictably changing opportunities" [3]. On the other hand, researchers advocated that EA by itself should be agile [4,5], as traditional frameworks-based EA is often "too rigid, and full-scale use requires quite a lot resources" [6] and "in some cases benefits of EA are unclear" [6]. ...
Chapter
This article presents a systematic mapping study of published scientific papers on Enterprise Architecture (EA) and agility. More specifically, we reviewed studies on applying agile practices to EA and applying EA to the organization’s agility. A categorical structure is proposed for classifying the research results based on the extracted topics discussed. The categories include agile traits (i.e., principles and practices), EA practices, and organizational contexts. By mapping the published works and analyzing them, the article also highlights some trends and indicates some obstacles and needs for future research and practice.
... For example, in an attempt to solve practical www.ejeg.com 81 ©ACPIL problems with the national EA framework for Finland, an alternative concept called Lean EA development was formulated (Hosiaisluoma, et al., 2018). ...
... Another theme is EA governance and management, where the lack of guidelines and appropriate frameworks causes challenges (AlSoufi, 2014;Drews and Schirmer, 2014;Bakar and Selamat, 2016;Hosiaisluoma, et al., 2018). Likewise, insufficient tool support is problematic (e.g. the absence of shared repository and inadequate modelling tools for inter-organizational settings) (AlSoufi, 2014;Drews and Schirmer, 2014;Bakar and Selamat, 2016;Banaeianjahromi and Smolander, 2016). ...
Article
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Enterprise architecture (EA) is a widespread approach for the development of new digital solutions in a planned and controlled way for large and complex organisations. EA is also viewed as a prerequisite for the digitalisation of the public sector. However, public sector organisations struggle to implement EA programmes, and research has demonstrated that organisational and managerial issues are critical obstacles to EA implementation. This study aims to increase our understanding of EA implementation in the public sector by investigating the central challenges for EA initiatives and to trace the progress of current EA initiatives in the Norwegian public sector. An additional goal is to disclose some ways to improve the situation. We conducted three interpretive case studies in the hospital, higher education, and labour and welfare sectors. We have identified 28 challenges to the EA initiatives. We find that organisational and technical complexities, as well as a limited understanding of EA and lack of formal EA governance mechanisms, are significant obstacles. Among others, the lack of understanding of EA and its methodology will lead to problems with anchoring the EA approach in the organisation and facilitating the necessary EA arrangements to induce the promised benefits of EA, which are necessary requirements to establish the EA initiative's legitimacy and foster the organisation's willingness to implement change. Our study provides four lessons learned for planning and implementing EA initiatives, as follows: #1. It is advisable to take small steps. #2. The use of external consultants should be carefully considered. #3. Formal architectural governance mechanisms are important for legitimacy and enforced use. #4. Executive commitment and understanding of EA are crucial for achieving a sustainable EA initiative. Finally, we find a common evolution of the EA initiatives through the phases of optimism, resistance, decline and finally, reconsolidation of the most persistent ones.
... d) Pull: Implementing a pull system in EA means creating architectures and solutions based on actual business needs rather than pushing pre-defined architectures. This approach ensures that EA efforts are always aligned with current business needs [5]. ...
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Full-text available
Enterprise Architecture (EA) plays a crucial role in aligning business strategies with IT infrastructure, but traditional EA practices often struggle to keep pace with rapidly changing business environments. This paper explores the application of lean principles to EA, proposing a Lean Enterprise Architecture approach. By systematically applying the core lean principles of value, value stream, flow, pull, and perfection to EA practices, organizations can potentially achieve more agile, efficient, and value-driven architecture. The research synthesizes existing literature on lean thinking and EA, presenting current progress, best practices, and challenges in implementing Lean EA. Key findings highlight Lean EAs potential to reduce waste, improve stakeholder alignment, and enhance adaptability in architectural processes. However, challenges such as organizational resistance and the need for new skill sets are also identified. The paper concludes by outlining future research directions, including the development of Lean EA metrics and the integration of Lean EA with other modern approaches like agile and DevOps. This research contributes to the evolving field of EA by providing a comprehensive overview of how lean principles can transform EA practices, offering both theoretical insights and practical implications for EA professionals and organizations seeking to enhance their architectural capabilities in an increasingly dynamic business landscape.
... The usage of EA frameworks, such as TOGAF and Zachmann, do not provide for agility of the EA processes (Bloomberg 2013;Hauder et al. 2014), as they are seen as too heavy and rigid (Hosiaisluoma et al. 2018). The Open Group launched The Open Agile Architecture (O-AA) in 2020 (The Open Group n.d.) complementing TOGAF, enabling architecture in an Agile at scale environment. ...
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Agile methodologies in software development are quickly becoming the norm and a majority in the industry considers an agile approach in Enterprise Architecture (EA) appropriate and that EA should adjust to agile ways of working. However, organisations may struggle to match the EA practice to the stakeholders' changing expectations. In this research, we conducted a survey to the perceived value of EA using the Enterprise Architecture Value Framework (EAVF) in a financial institution in the Netherlands followed up by a Delphi study to find best practices and practical handles that may improve the connection between EA and its stakeholders.
Article
Enterprise Architecture (EA) plays a crucial role in aligning business strategies with IT infrastructure, but traditional EA practices often struggle to keep pace with rapidly changing business environments. This paper explores the application of lean principles to EA, proposing a Lean Enterprise Architecture approach. By systematically applying the core lean principles of value, value stream, flow, pull, and perfection to EA practices, organizations can potentially achieve more agile, efficient, and value-driven architecture. The research synthesizes existing literature on lean thinking and EA, presenting current progress, best practices, and challenges in implementing Lean EA. Key findings highlight Lean EAs potential to reduce waste, improve stakeholder alignment, and enhance adaptability in architectural processes. However, challenges such as organizational resistance and the need for new skill sets are also identified. The paper concludes by outlining future research directions, including the development of Lean EA metrics and the integration of Lean EA with other modern approaches like agile and DevOps. This research contributes to the evolving field of EA by providing a comprehensive overview of how lean principles can transform EA practices, offering both theoretical insights and practical implications for EA professionals and organizations seeking to enhance their architectural capabilities in an increasingly dynamic business landscape.
Chapter
Energy consumption is increasing, and buildings are responsible for 40% of that amount. With innovative technologies such as Information Technology (IT) and digital innovation, the usage of energy can be reduced. The high number of projects that are being developed and explored around the world brings positive expectations but also big challenges: complexity, risks, different technologies, resources, costs, data usage, data protection and privacy, all these are situations that must be managed. Using a systematic literature review, different frameworks were identified, based on IT concepts, that can allow the adequate management of energy efficiency through IT governance processes and create value for organizations, based on ITIL or COBIT, supported by an agile methodology, such as SCRUM.KeywordsInformation technologyGovernance modelsEnergy efficiencyBuildings
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Enterprise architecture (EA) is a comprehensive approach aimed at understanding and aligning an organization’s business strategy and processes, information resources, and information technologies. However, implementing this approach in an organization is not an easy task as organizations have their preexisting siloes and fragmented procedures and departments. Comprehensive, inter-organizational practices, such as EA, usually break old procedures and habits, shift decision-making power, and challenge old values. This makes EA endeavors extremely difficult. In this paper, we conduct a qualitative multiple- case study. We use institutional theory to identify problems and their root causes in EA adoption in three cases. We also discuss possible solutions—by identifying eight root causes and several examples, both successful and not-so-successful—to mitigate or overcome these problems. We also argue that institutional theory and its three pillars provide a usable lens to analyze EA adoption.
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Today’s enterprise environment is more sophisticated than ever and being able to manage this complexity is not possible without having a planned approach. Enterprise architecture (EA) has emerge as a planned approach to mitigate the organizational complexities and control the constant environmental changes. How-ever, despite the numerous EA development step-by-step methods and approaches not all of the EA efforts end with success. In this study we aimed to identify the obstacles that endanger the EA projects. Employing the multiple case study research method we collected data from 14 large enterprises by interviewing 20 experts. In total, we identified 20 obstacles that we further categorized into four main themes. Compared to earlier literature we found five types of obstacles that have not been mentioned before: political issues of the government, EA consultant related issues, outdated organizational statutes, constant change of management, and inefficient human resource department. Further we discussed about the relationships among the identi-fied obstacles and provide advice for managers to reduce the obstacles during EA development. Because this study is based on real world cases, provided understanding can benefit practitioners to alleviate obstacles during EA development.
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Australian government enterprises have shown a significant interest in the cloud technology-enabled enterprise transformation. Australian government suggests the whole-of-a-government strategy to cloud adoption. The challenge is how best to realise this cloud adoption strategy for the cloud technologyenabled enterprise transformation? The cloud adoption strategy realisation requires concrete guidelines and a comprehensive practical framework. This paper proposes the use of an agile enterprise architecture framework to developing and implementing the adaptive cloud technology-enabled enterprise architecture in the Australian government context. The results of this paper indicate that a holistic strategic agile enterprise architecture approach seems appropriate to support the strategic whole-of-a-government approach to cloud technology-enabled government enterprise transformation.
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Today, and for the foreseeable future, organizations will face ever-increasing levels of complexity and uncertainty. Many believe that enterprise architecture (EA) will help organizations address such difficult terrain by guiding the design of adaptive and resilient enterprises and their information systems. This paper presents the “Grand Challenges” that we believe will challenge organizations in the future and need to be addressed by enterprise architecture. As a first step in using enterprise architecture as a solution for overcoming identified challenges, the Zachman Enterprise Architecture Framework is used to guide and structure the discussion. The paper presents the “Grand Challenges” and discusses promising theories and models for addressing them. In addition, current advances in the field of enterprise architecture that have begun to address the challenges will be presented. In conclusion, final thoughts on the future of enterprise architecture as a research field and a profession are offered.
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The Digital Government landscape is continuously changing to reflect how governments are trying to find innovative digital solutions to social, economic, political and other pressures, and how they transform themselves in the process. Understanding and predicting such changes is important for policymakers, government executives, researchers and all those who prepare, make, implement or evaluate Digital Government decisions. This article argues that the concept of Digital Government evolves toward more complexity and greater contextualization and specialization, similar to evolution-like processes that lead to changes in cultures and societies. To this end, the article presents a four-stage Digital Government Evolution Model comprising Digitization (Technology in Government), Transformation (Electronic Government), Engagement (Electronic Governance) and Contextualization (Policy-Driven Electronic Governance) stages; provides some evidence in support of this model drawing upon the study of the Digital Government literature published in Government Information Quarterly between 1992 and 2014; and presents a Digital Government Stage Analysis Framework to explain the evolution. As the article consolidates a representative body of the Digital Government literature, it could be also used for defining and integrating future research in the area.
Conference Paper
Government architecture (GA) is a relatively young discipline in which concepts are slowly emerging. Often terms and concepts are used in various ways and there is no uniform agreement on these concepts. Further, the relationship between GA, benefits and public value creation is unclear. In this paper we unravel and define GA concepts that are often used by governments. Although GA is used in different ways there are common concepts. GA practice in two different countries, the Netherlands and Norway, indicates that although the Netherlands clearly has more experience with GA than Norway, both countries employ similar concepts. Nevertheless our study confirmed the assumption of conceptual confusion. In both countries GA efforts are concentrated towards guiding design projects and dealing with complexity. We found that the impact of GA is ill understood. We defined central concepts of GA, and propose a conceptual model illustrating the relationships between GA concepts, its use, benefits and public value drivers.