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4.2 Developing the research constructs and research
framework
The starting point for the case research is the research framework and questions
(Eisenhardt, 1989, Voss 2009). The research questions to be answered by means of
case study research have been stated in Chapter 1.
Modular Care Provision
Table 4.1 Overview of study design
Research stage
Activity
Our design choices
Research framework
Definition of research
questions
See Chapter 1
A-priori constructs
We developed a conceptual narrative containing
constructs, but no specific relations nor
propositions
Choosing cases
Sampling of cases
Multiple case design: four cases
Case sample is based on purposive sampling, literal
replication and maximum variation in case history
and accessibility strategy.
Within case focus
Total care process
Research protocol and
instruments
Data collection methods
Case study protocol
Multiple sources of evidence
Semi-structured interviews
Company documents
Observation visits
Conducting the field
research
Sampling of target
respondents
For each case, respondents covered different
organizational levels, various service types and
different phases of the care process. For each
case: regional director, team leader home nursing,
team leader home help, front desk employees,
start-up nurses, key nurses and representatives
from complementary services, call centers, and
marketing.
Actual data collection
Conducting 38 interviews of 1 – 2 hours, collecting
a variety of company documents and three one-day
observation visits per case.
Receiving feedback on interviews and case
narratives by means of member check and expert
meetings.
Data analysis
Preparing for data analysis
Interview transcription
Data reduction: coding
Data analysis
Within case: Data display
Cross case: data display, pattern identification,
comparison with existing literature
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In case research focusing on theory development, it is important to consider a prior
view of the general constructs and categories we intend to study and their relations,
no matter how inductive the approach (Voss 2009). This can be done through the
construction of a conceptual framework that explains, either graphically or in narrative
form, the main things that are to be studied (the key factors, constructs or variables)
and the presumed relationships amongst them (Miles and Huberman, 1994). Building
a conceptual framework will force the researcher to think carefully and selectively
about the constructs and variables to be included in the study (Eisenhardt, 1989, Voss,
2009). The a priori framework used as a basis for the empirical part of our research
was presented in Chapter 2 of this thesis. This chapter included a narrative on the
operationalization of demand-based care in four dimensions and various aspects and
practices of modularity that are of potential importance in bringing these dimensions
into practice in long-term care. As such, starting from literature, we specified the
constructs that are potentially important (Eisenhardt, 1989). However, our narrative
did not include detailed relationships among variables, since researchers should avoid,
as much as possible, thinking about the specific relationships between variables and
theories, especially at the outset of the research process (Eisenhardt, 1989).
For the phenomenon central to this research, i.e. the concept of modularity in the
context of long-term care for the elderly, several theoretical insights and concepts
were already available, however many were missing as yet. On the one hand, there are
several contributions that address particular elements of modularity in services and
health care such as the possible complementarity and intertwinement of modularity
in service product and service process, and the vital role of people in bringing about
modular services (e.g. Meyer and DeTore, 2001, Bohmer, 2005, Pekkarinen and
Ulkuniemi, 2008, Voss and Hsuan, 2009). On the other hand, we lacked information on
how exactly various aspects and practices related to modularity, such as components,
interfaces, and the achievement of customization through mixing-and-matching,
come across in and are influenced by the long-term care context. Hence, following
Zomerdijk (2005), the challenge for this study was to ensure an open mind with a
minimum amount of bias, while at the same time doing justice to and benefiting from
theory that was already available. Therefore, we summarized our narrative conceptual
framework into a relatively simple conceptual model that displays potentially important
variables regarding modularity in long term care for the elderly (Figure 4.1). The
exact application of modularity, however, was a black box and the conceptual frame
did not contain propositions or hypotheses other than that it might be advantageous
to use modularity in order to advance long-term care towards demand-based care
provision.
Resear
ch desig
n and methods
Chapt
er 4
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4.3 Choosing cases
When conducting case research, choices to be made include the number of cases to
be used, case selection, and sampling. In addition, the within-case focus needs to be
determined (Eisenhardt, 1989, Voss et al., 2002, Yin, 2003).
4.3.1 Sampling and case selection
The study of a single case provides a great deal of depth of observation, however, the
generalizability of findings is limited. Multiple cases may reduce the depth of study, but
can augment external validity (Voss et al., 2002). Furthermore, analytic conclusions of
multiple cases will be more powerful and the external generalizability of the findings
is improved through either literal or theoretical replications (Yin, 2003). For these
reasons, our research included multiple cases. Being able to compare insights on various
modularity dimensions from different cases in long-term care for the elderly will
strengthen the precision, validity, and stability of our findings (Miles and Huberman,
1994), even though some depth of observation may be lost (Zomerdijk, 2005).
A vital choice to be made when using multiple case studies is the case selection. Our
case selection was bounded by the field in which we intended to do research, being
the sector that provides long-term care and related services to elderly people living
independently. Within this research field, we used purposive sampling to select cases.
Modular Care Provision
Figure 4.1 Conceptual framework
Demand for long-
term care and
related services
Modularity aspects
Components
Modules
Interfaces
Packages
Improvement towards
demand-based provision of
care, i.e. enlargement of:
Choice options
Variation
Client involvement
Joint delivery
Possible influencing factors
Care
Nature of demand
Position of client
Services
Role of people
Intertwinement of product and
process
Intangibility, heterogeneity,
inseparability, and perishability
Other
…
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