2003). The popularity of business process
orientation has produced a fast growing number of
methodologies, modelling techniques, and tools to
support it (Charfi et al., 2010). The process of
selecting the right technique and the right tool has
become more and more complex not only because of
the huge range of approaches available, but also due
to the complex dynamic nature of large
organisations. There is therefore a need to aide
analyst and practitioners alike by providing methods
that can guide and capture the dynamic aspects of an
organisation. This paper builds on previous work on
modelling the dynamic behaviour of business
organisations (Liu, 2000) by presenting two BPM
methods, and discusses extending them using norm
analysis method (NAM) to enable the analysts to
model the business processes and to accommodate
exceptions which have not been dealt with by other
conventional methods (Liu, 2001); (Stamper, 2001).
Norm analysis is method used to model the dynamic
conditions of patterns of behaviour. Patterns of
behaviour, in turn, share a set of ‘norms’ which
govern how members behave, think, and make
judgment. There are many types of norms depending
on the way in which norms control human
behaviour; however, for the purpose of this paper the
analysis will focus on behavioural norms, which
govern people’s behaviour within regular patterns
(Liu and Dix, 1997).
The aim of this paper is two-fold. On the one
hand, it is to aid in modelling the dynamic behaviour
of business organisations. On the other hand, it is to
demonstrate the applicability of ‘norms’ with two
BPM methods through presenting two case studies
as a research method. The following section
introduces two examples of modelling organisational
processes, the notion of norms, and two case studies
one in e-Government services and the other in home
telecare. The paper ends with a discussion and
conclusion.
2.1 Examples of Modelling
Organisational Processes
2.1.1 Life-event Approach
The extraordinary growth in government
information and services published and provided
online raises a need for an efficient way to structure
these government contents and to effectively deliver
them to citizens. Life-event approach satisfies this
need by being citizen-centric through providing
these services based on real life-events and
situations in order to facilitate and enhance citizens’
experience when accessing governmental
information and services. In information systems
literature, Wimmer and Tambouris (2002) define
life-events as a way to describe situations of human
beings where public services may be required, or
triggered according to Kavadias and Tambouris
(2003) definition. According to Momotko et al
(2006) most of the existing technologies that are
used to implement life-events are either too static or
too dynamic. Static as they cannot offer an effective
way to incorporate potential differences in the needs
and circumstances of a citizen or they are too
dynamic to be used effectively by public
administrations (Momotko et al., 2006). Therefore,
they proposed an approach for implementing life-
events based on generic workflows technologies by
using workflow management. This organises life-
events as processes and rule management to make
them more flexible by including dynamic rules.
They define the term “dynamic” as rules that can be
validated at execution phase and during simulation.
However, their use of dynamic rules is limited to
identifying the responsible agent for the execution
process.
2.1.2 DEMO
Dynamic essential modelling of organisations
(DEMO) (Dietz, 1999) is a communication based
modelling methodology aligned to language action
perspective (LAP) theory. DEMO uses high-level
process descriptions to analyse processes at the
ontological level instead of focusing on
implementation details. It highlights communication
patterns between human actors, instead of the
sequences in which activities are performed. The
aim is to highlight the commitments that are entered
during the communication process as drivers of
action that is subsequently performed (Dietz, 1999).
One of five DEMO models is the business
process model (BPM). Causal and conditional
relationships are highlighted in BPM. The causal
relationship cause the start of a transaction and a
conditional relationship forms a condition of the
start or completion of another. Although DEMO
BPM shows such conditions, the process model is
only capable of capturing static conditions and does
not show dynamic conditions the exclusive-or
transaction. Unexpected events might occur that
require human judgement. These exceptions are
difficult to represent using a process diagram.
Catering for exceptional situations in behaviour is
handled well by norm analysis.
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