flexible business models
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European Journal of MarketingEmerald Article: Flexible Business ModelsKaty J. Mason, Stefanos Stefanos Mouzas
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This is an EarlyCite pre-publication article: Katy J. Mason, Stefanos Stefanos Mouzas, (2012),"Flexible Business Models", European Journal of Marketing, Vol. 46 Iss: 10 (Date online 14/8/2012)
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Article Title Page
[Article title] Flexible Business Models Author Details (please list these in the order they should appear in the published article) Author 1 Name: Katy Mason Department: Management School University/Institution: Lancaster University Town/City: Lancaster State (US only): Country: UK Author 2 Name: Stefanos Mouzas Department: Management School University/Institution: Lancaster University Town/City: Lancaster State (US only): Country: UK Author 3 Name: Department: University/Institution: Town/City: State (US only): Country: Author 4 Name: Department: University/Institution: Town/City: State (US only): Country: NOTE: affiliations should appear as the following: Department (if applicable); Institution; City; State (US only); Country. No further information or detail should be included Corresponding author: [Name] Katy Mason Corresponding Author’s Email: [email protected]
Please check this box if you do not wish your email address to be published Acknowledgments (if applicable): Biographical Details (if applicable): [Author 1 bio]
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[Author 2 bio] [Author 3 bio] [Author 4 bio] Structured Abstract: Purpose of the paper: Our aim in this paper is to describe and explain the flexibility offered by different business
models adopted by different firms as they strive to achieve higher levels of business performance.
Research Method: Cross-sectional research is used to investigate a matched pair sample of 20 high performing and
20 low performing firms in the United Kingdom. The relationship between business model architectures and focus are
examined and their implications for flexibility are illustrated and discussed.
Findings: The flexibility offered by different business models is explored through the way organisations select and
integrate three inter-related elements to devise flexible business models: a) network influence b) transactional
relationships and c) corporate ownership. Affected by situated practices in each business network and the market
position or business size, companies select and integrate various configurations of these elements to respond to the
constantly evolving demands of end-customers.
Research limitations/implications: Although based upon a cross-sectional analysis of a matched pair sample, the
concept of “flexible business models” has far wider managerial implications. The efficiency of the proposed approach is
achieved through the reduction into three inter-related elements that allow flexible configuration and re-adjustment.
Practical implications: Companies can use the flexible business model approach to examine their own selection and
integration of network influence, transactional relationships and corporate ownership and scrutinize their flexibility and
performance in the marketplace. Value of the paper: The development of the flexible business models concept, based
upon an empirical investigation of firms in the United Kingdom.
Paper type: Research Paper.
Keywords: Flexibility, Flexible Business Models, Market Focus, Network Focus
For internal production use only Running Heads:
Article submitted to
European Journal of Marketing
Special Issue on Marketing and Flexibility
Submitted 30th September 2006
Revised and Resubmitted 20th February 2008
Revised and Resubmitted 20th June 2009
Accepted May 2009 (with minor amendments)
Flexible Business Models
Katy Mason and Stefanos Mouzas
Lancaster University
Management School
Lancaster, LA1 4YX
Tel: +44 (0) 1524 594840
Fax: +44 (0) 1524 593928
Key words: Flexibility, Flexible Business Models, Market Focus, Network Focus
1
Flexible Business Models
Purpose of the paper: Our aim in this paper is to describe and explain the flexibility offered
by different business models adopted by different firms as they strive to achieve higher levels
of business performance.
Research Method: Cross-sectional research is used to investigate a matched pair sample of
20 high performing and 20 low performing firms in the United Kingdom. The relationship
between business model architectures and focus are examined and their implications for
flexibility are illustrated and discussed.
Findings: The flexibility offered by different business models is explored through the way
organisations select and integrate three inter-related elements to devise flexible business
models: a) network influence b) transactional relationships and c) corporate ownership.
Affected by situated practices in each business network and the market position or business
size, companies select and integrate various configurations of these elements to respond to the
constantly evolving demands of end-customers.
Research limitations/implications: Although based upon a cross-sectional analysis of a
matched pair sample, the concept of “flexible business models” has far wider managerial
implications. The efficiency of the proposed approach is achieved through the reduction into
three inter-related elements that allow flexible configuration and re-adjustment.
Practical implications: Companies can use the flexible business model approach to examine
their own selection and integration of network influence, transactional relationships and
corporate ownership and scrutinize their flexibility and performance in the marketplace.
Value of the paper: The development of the flexible business models concept, based upon an
empirical investigation of firms in the United Kingdom.
Paper type: Research Paper.
2
1. Introduction
Companies that make, distribute or sell products strive to develop flexible business models in
response to two main sets of problems related to environmental factors. The first set of
problems that companies face is associated with the enormous growth in production capacity,
especially in the Far East, which has lead to an increasing number of industries operating with
excess capacity (c.f. Doz, 1996). Production skills and resources, once seen as the heart of a
firm’s core capabilities, are no longer sufficient, by themselves, to create sustainable
competitive advantage. Today, in more and more industries, organizations have to marry the
efficiency advantages gained through the careful management of capabilities and resources
with increasing effectiveness (Möller and Törrönen, 2003). It has been argued that the key
skill associated with developing effectiveness is marketing (Doyle, 2000). That is, creating
customer preference in over-supplied markets through branding and customer relationship
management. Hence, the challenge is to keep in touch with changing customer needs through
the creation of flexible product and service offerings. Companies operating upstream within a
supply chain, i.e. providing raw materials, manufacturing or assembly capabilities to other
firms, may find themselves distanced from end customers. These companies need to increase
their knowledge and understanding of not just their customers, but their customers’ customers
and ultimately end customers (Cairncross, 2002). It is, therefore, no surprise that the value
gained by understanding and managing downstream activities in a supply chain has risen in
prominence (Langabeer and Rose, 2001).
The second main set of problems that companies face is associated with how best to utilize
the business network’s resources. To do this, firms must foster effective communications
between the multiple actors within the business network. Effective communications can drive
innovative solutions to changing customer needs in hypercompetitive markets. Information
technologies have lowered the transaction costs of communicating, integrating and
coordinating firms’ activities (Sharma, 2002), making it possible for firms to influence the
activities of each other without taking corporate ownership (Mahoney, 1992). Web-like
structures of firms formed through complex technological links with multiple actors, have
developed from linear supply chains into complex business networks integrated through
seamless information exchanges (Hammer, 2001). This has important implications for
manufacturers and suppliers, as the interconnectivities associated with business networks
suggest opportunities for direct contact with end customers. For example, Doyle (2000) cites
the case of a leading producer of industrial sewing thread for a manufacturer of two of the
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leading US sports shoe companies. The thread manufacturer’s direct contact with end-users
revealed that customer dissatisfaction was invariably due to poor stitching caused by breaks in
the thread during sewing operations. The thread manufacturer had to be flexible in how they
solved this problem and worked with the shoe manufacturer to create better machine
maintenance and sewing practices. These changes resulted in fewer thread-breaks, operating
costs were substantially reduced, and customer satisfaction was increased.
These two sets of problems draw our attention to the required flexibility within business
networks i.e. the flexibility within the specific context of upstream and downstream
relationships. Phenomena such as overcapacities in a number of industries and regions or the
rapid development of specialist resources within business networks affect the way customer
needs can be addressed and may re-order or re-define existing business relationships. In
general terms, flexibility is seen as the firm's ability to reposition itself in a market and to
dismantle its previous strategies to meet new customer needs (Sanchez and Mahoney, 1996).
In management research, for example, flexibility is often linked with the issue of
ambidexterity which is the capacity to simultaneously achieve alignment (with current
customer needs) and adaptability (to develop new customer solutions) at a business-unit level
(Gibson and Birkinshaw, 2004; He and Wong, 2004). This literature recognises that flexibility
of structures; what Birkinshaw and Gibson (2004) call structural ambidexterity, provides a
framework for contextual ambidexterity, which focuses on the flexible behaviour of
employees. This suggests that some structural designs might be better than others for
promoting effective and flexible behaviour of employees (Birkinshaw and Gibson, 2004).
The behaviour of employees is what constantly innovates and rejuvenates the organisation
and this is embedded at an organisational level in flexible intra and inter-firm routines and
systems (Howard-Grenville, 2005; Mason and Leek, 2008). This literature has parallels with
the emergent literature on business models, which discusses the suitability of network
architectures for delivering customer value (Morris et al., 2005).
To date, research into ambidexterity has focused on the creation of flexible organisations.
Despite the valuable contribution of this research it fails to take into account the broader
business network within which the firm operates. Examining flexibility within a network
context brings into focus many of the aspects of the firm-centric concept of strategic
flexibility (Birkinshaw and Gibson, 2004). Further, it captures the bi-directional tension
between alignment with downstream customers and accessibility to capabilities and resources
4
of upstream suppliers. The upstream-downstream alignment facilitates adaptability. Strategic
flexibility in a network context can therefore be understood as a bi-directional construct that:
first, represents a company’s capability in integrating the considerations of the end-customer
downstream (Kohli and Jaworski, 1990). This involves deliberate attempts to reduce the
‘distance’ from the end-customer through the development of network influence and
corporate ownership (Harrigan, 1986). Second, flexibility can be seen as the company’s
capability to access resources of upstream suppliers without corporate ownership. Thus it is
possible to develop new and innovative solutions for customers through the development of
either transactional relationships or network influence.
2. The Role of Flexible Business Models
In dealing with these two main problems, companies seek to adapt quickly and easily to
changing customer needs by developing a flexible business model. While the term ‘business
model’ is widely used by practitioners, its appearance in the academic literature is less
common (Schweizer, 2005). Theoretically, a business model represents the “content,
structure, and governance of transactions designed so as to create value through the
exploitation of business opportunities” ( Zott and Amit, 2007;181). For this reason, business
models are often explored from a structural perspective (Morris et al., 2005). Amit and
Zott’s (2001) definition of business models emerges from investigations of entrepreneurial
start-ups associated with e-businesses but builds on the earlier work of economists studying
the structure of industrial supply chains. For example, Maddigan (1981) explores business
models through an investigation into the governance of transactions, such as corporate
ownership of various supply chain stages and Harrigan (1986) recognizes the
multidimensionality of corporate ownership: direction, stages, breadth, degree and form.
Such conceptualizations were generated from observations of the traditional business models
that emerged in the 1950’s and 1960’s. At this time, firms protected themselves from
uncertainty of supply and sought economies of scale by controlling the entire supply chain
through corporate ownership (Chandler, 1969). However, these traditional business models
are incompatible with the problems that companies face today. Even in well managed supply
chains, the problems for customer-facing companies downstream represent a different
challenge. This is evidenced in the case of sequential business models (Figure 1) which
organize added value processes through a carefully timed sequence of events (Harrigan,
1986).
5
[Take in Figure 1. Here]
Today’s rapid rate of market change is illustrated by the rise and fall of the dot.com
companies in the 1990’s (Shook et al., 2004). Firms sought to take advantage of information
technologies that might enable them to create flexible and efficient structures to deliver value
to customers (Linder and Cantrell, 2000; Magretta, 2002; Osterwalder et al., 2005; Weill and
Vitale, 2001) and found themselves exploring cost cutting through supply chain efficiency
drives in order to leverage profitability. This resulted in a dramatic shift towards de-
integrated supply chains as outsourcing strategies were increasingly pursued.
Despite the decline of many of the dot.com companies, the concept of business models stuck
and theory began to emerge to identify the components of flexibility at three distinct levels:
the network level, the firm level and the individual employee level. At the network level the
objective is for organizations to identify resources and capabilities available to them. If
managers know where and how to access resources within their business network, the
strategic options available to them are increased. At the firm level, inter-firm relationships
are developed to facilitate access to valuable resources, as and when customer demand
dictates. At the level of the individual, employees need authority and responsibility to solve
day-to-day problems in efficient and effective ways, in order to deliver value to customers.
Hammer (2001), describes how Hewlett Packard (HP), recognizing the duplicated and poorly
coordinated efforts of firms in their supply network, resolved to integrate the business
network to provide a single unified process. Timely and coordinated information exchange
about end-customer behaviour offered HP greater flexibility. The HP example illustrates the
relevance of business models beyond the dot.com sector and that in dealing with business
problems, companies take a network perspective and use this to frame the behaviours of
organizations and individuals (Teece, 2007).
In sum, business models need to be flexible and adaptable to foster innovation (Farrell and
Oczkowski, 2002). Developments in the availability, affordability and versatility of
information technology over the past decades is enabling companies to access new resources
and rethink their business models (Amit and Zott, 2001) in ways which allow organizations to
respond rapidly and innovatively to changing customer needs.
3. Responding Flexibly to Customer Needs
6
The need to respond effectively to customer needs is recognised in previous research by the
‘market focused’ (Kohli and Jaworski, 1990; Narver and Slater, 1990) and ‘network focused’
approaches (Gnyawali and Madhavan, 2001). The market focused approach explores how
firms can identify and orientate themselves towards the demands of their markets. Such
markets are often described in terms of geography (the US market), size (5,000 customers), or
value ($40m). In contrast, the network focused approach transforms the notion of market
from a faceless topology expressed in terms of supply and demand curves, into a web of
interconnected companies whose identities and relationships matter.
The rationale for bringing these approaches together is fourfold: first, networks can help us
understand how a market orientation (or market focus) can be built into business models.
This is possible if we go beyond the concept of examining business models from the
perspective of a single company and explore the impact of the company on others in the
business network. Second, a network perspective allows us to see both the flexibility and
limitations of the business models identified. Third, a deeper understanding of market
orientation will improve our understanding of business networks and their conceptualization
and development of flexible business models. Finally, exploring how businesses work
together in networks to satisfy end customers will provide a new perspective for examining
the market focus literature which to-date, has adopted a firm centric view. The examination of
current, emerging and potential flexible business models adds to the existing ‘network
focused’ and ‘market focused’ perspectives, as it delivers a useful mind-set for how
companies conceptualize the structure of their business relationships as they seek to adapt to
customer needs.
The Market Focused Approach
A key underlying assumption behind the market focused approach is that companies need to
re-align themselves to their evolving markets to keep pace with changes in customer needs.
While recognizing that its origins lie in the principles of marketing, (delivering the right
product, at the right time, to the right customer (Ellram and Cooper, 1990)), the supply chain
management literature initially developed a focus around maximizing efficient solutions to
organizational supply problems (Beamon and Ware, 1998). However, while one stream of
research focused on the efficiency aspects of supply chain management, another group of
researchers began to discuss the limitations of the backward focus of this linear approach and
the need for supply chain members to orientate themselves towards their markets (Min and
7
Mentzer, 2000). By embracing the concept of marketing, a forward focus to supply chain
theory was developed and some researchers began to refer to the supply chain as ‘the demand
chain’ (Langabeer and Rose, 2001). This shifts the focus from efficiency to effectiveness. In
this regard, the market focused approach requires each firm in the supply chain to identify
their customers’ needs, and source suppliers in such a way as to best satisfy those needs.
Conceptually, market orientation has been defined as the implementation of the marketing
concept (Kohli and Jaworski, 1990; Narver and Slater, 1990) and, while many alternative
constructs and measurements have been developed, there are strong commonalities amongst
the dimensions. Typically the literature examines market orientation from one of two
perspectives; company culture (Deshpandé et al., 1997) and behavioural (Kohli and Jaworski,
1990). For the purpose of this paper, market orientation is defined as a multi-dimensional
construct that draws on both cultural and behavioural aspects of an organization (Hooley et
al., 2000). This approach is consistent with the tradition of synthesizing market orientation
perspectives and presents market orientation as the organization-wide strategic orientation
manifested in the development of co-ordinated customer and competitor-oriented activities.
In this way, market oriented companies are concerned with identifying and co-ordinating
information regarding customer needs and competitor actions within and across the
organization’s different functional departments. The customer (the next economic entity in
the supply chain) is the focus of a firm’s activities and not the consumer (at the end of the
supply chain).
The Network Focused Approach
The network focused approach is anchored in the recognition of markets as networks of
exchange relationships (Dyer and Singh, 1998; Möller and Svahn, 2006). The companies that
comprise a business network are individually significant actors. They may comprise key
customers, major suppliers or even competitors. Therefore, the network approach localises
environmental forces and allows companies to develop a high degree of precision in flexibly
adapting their offerings according to customers’ needs and suppliers’ resources, as well as
competitive offerings. As a result, flexibility can be seen as a function of the companies’
interaction with other firms (Håkansson and Ford, 2002) in a variety of different types of
networks (Möller et al., 2005)
8
As a theoretical perspective, the network focused approach allows us to move on to a high
level of aggregation because it moves beyond the single organization as the unit of analysis.
Hence the network focused approach looks at the existence of whole networks of business
relationships and examines the inherent interdependence among firms. The network focused
approach is sensitive to developments over time; it assumes that organizations transform
resources to carry out transactions linked by relationships. Further, the cumulative effect of
adaptations in relationships is thought to influence both the position and the network
structures in which an organization is located (Brennan et al., 2003). This is in contrast to the
traditional view that conceives the organization and the environment as separate, sharply
differentiated entities. Organizations are thus not seen as solitary entities confronting a
hostile, faceless environment (Axelsson and Easton, 1992). The traditional dichotomy
between the firm and its environment could be traced back to an open-system
conceptualization, which regards a market orientation as an attempt to achieve a degree of
harmony between the resources and activities of an organization, and the characteristics of the
environment (Håkansson and Snehota, 1989). The network critique of this dichotomy is well
established (Araujo and Easton, 1996; Gadde et al., 2003). The external environment is
perceived as a set of business relationships with other organizations whose identities and
relationships matter. The multiple boundaries of each organization are the result of the
interaction of the organization’s direct and indirect capabilities with other organizations
(Araujo et al., 2003). This could be represented diagrammatically as Figure 2.
[Take in Figure 2. Here]
For this reason, the organization’s efforts are geared to differentiated systems of exchange
(Biggart and Delbridge, 2004) which can be classified on the basis of actors’ logic of action
within the context of business relationships. Marketing within networks is thus directed at the
relationships of the organization with other organizations (Gadde et al., 2003) and involves an
on-going co-operation (Wilkinson and Young, 2002) and negotiation. Each of these
interactions is part of a complex and continuing relationship between the organizations within
their various and multiple supply chains; each affects and is affected by the other business
relationships. In sum, this research addresses an important gap in the network literature that
recognises markets as webs of exchange relationships but does not explicitly address how
such networks develop flexibility to enable their re-alignment to continuously evolving
customer needs. Similarly, the market orientation literature, while offering valuable
contributions to our understanding of customer orientation, competitor orientation and inter-
9
functional co-ordination, does not specifically address the ‘network integration’ of these
dimensions. In this regard, identifying and describing the flexible business models adopted
by organisations is likely to generate useful insights for our understanding of flexible, market
oriented business networks.
4. A Framework for Analysing the Flexibility of Business Models
The literature recognizes the multi-dimensional nature of business models. While some
differences arise between authors, four common dimensions can be identified: (1) the network
structure is a structural template that describes the organization of a focal firm’s transactions
with all of its external constituents (Zott and Amit , 2007; Mason 2008); (2) the way
transactions are carried out between network members, specifically the types of relationships
that exist (Amit and Zott, 2001); (3) the sources of competence by which firms in the network
can offer and share specific knowledge and expertise (Mason and Leek, 2008) i.e. how firms
deliver value to their customers by focusing on them; and finally (4) the revenue structure;
how each firm in the network makes money (Teece, 2007). These dimensions are seen by
Magretta (1998) to represent the ‘stories’ that explain how a firm works within its network.
She suggests that a model contains specific characters (relationship typologies and cultures
explored through the network approach), plausible motivations or foci (desired outcomes
explored by the market focused approach), and a plot (shared business objectives) that
describes how value is created and appropriated (Magretta, 1998). In this sense, the network
structure and the types of business relationships that comprise the structure represent the
architecture of the business model, while the need to share knowledge about customers and
consumers in order to drive innovation and deliver value represent the business model’s focus.
It seems likely the concepts of business model architecture (associated with the network
approach) and business model focus (associated with the market focused approach) are likely
to be more helpful in exploring what makes business models flexible than the examination of
the revenue model. Drawing on the theoretical foundations of the ‘network focused’ and
‘market focused’ approaches we propose a list of elements that can be used to explore the
flexibility of alternative business models. They consist of the relationship between two sets of
variables. The first set, the business model architecture includes a) transactional relationships,
b) network influence and c) corporate ownership, upstream and downstream of the business
network. The second set, the business model focus involves a) customer focus, b) competitor
focus and c) inter-functional co-ordination (Figure 3).
10
[Take in Figure 3. Here]
The business model architecture variables build on the view that flexible business models are
the emergent outcomes of preconceived types of relationship configuration built through the
development of systems and routines that guide problem-solving for firms. In this view,
business models represent how firms frame their position and activities within business
networks. These variables consolidate Webster’s (1992) seven relationship typologies;
transactional relationships, repeat transactions, long-term relationships; buyer-seller
partnerships; network organisations; strategic alliances and vertical integration through
corporate ownership (Möller and Svahn, 2006), into three distinct categories of relationships;
1) transactional relationships, 2) network influence and 3) corporate ownership and proposes
the identification of relationship types upstream and downstream within the business network
(Gadde et al., 2003). Thus, the present framework achieves a higher level of
operationalisation; it allows us to identify the flexibility offered by different business models
architectures.
The business model focus variables (Figure 3) share similarities with the market orientation
approach and represent what might be more controversially described by Magretta (1998) as
business model ‘motivations’. She argues that business models are conceived to deliver
market-focused solutions. The concept of market orientation can, therefore, usefully be
explored at a network level. Both cultural and behavioral aspects of Narver and Slater’s
(1990) market orientation construct were adopted by Hooley et al., (2000) including:
customer orientation, competitor orientation and inter-functional co-ordination. Concordant
with their approach, this study adopted the Narver and Slater (1990) scales (Table 1). This
seemed appropriate as it allows the integration of relational and cultural aspects that are likely
to exist in a network whose boundaries are defined by the specified business model.
Finally, the way that the core firm develops the structure or architecture of the network in
order to best orientate itself to dynamic markets is likely to affect the flexibility of the
business model. In other words, the more market oriented the network architecture, the more
flexible the business model is likely to be. In this regard, we suggest that business model
flexibility is likely to be dependent on the interaction between business model architecture
and the business model focus. That is, flexibility is concerned with the ability of the network
to sense and respond to market changes (Christopher, 2000).
[Take in Table 1. Here]
11
5. Research Methods
In order to explore the flexibility offered by alternative business models, an exploratory-descriptive
research design was adopted and semi-structured interviews were employed as the primary form of
data collection. The literature argues that flexibility within the supply chain has a positive impact on
business performance (Christopher, 2000) and that some business model architectures are likely to
result in higher business performance than others (Swafford et al., 2006). Consequently a cross-
sectional research design was used to investigate a matched pair sample of 20 high-
performing and 20 low-performing firms, geographically dispersed across the United
Kingdom, between 2000 and 2004. This research design enabled us to identify and explore
multiple business models. In-depth interview methods were utilised as the main data collection
medium since such techniques obtain the ‘richest’ data within the prescribed limits of the research.
At the beginning of each interview the Narver and Slater (1990) market orientation scale was
applied so that the level of market orientation perceived by the interviewee could be ascertained.
Data were also collected regarding the performance of the firm relative to their competitors, across a
range of financial and market measures.
The remainder of the interview consisted of open questions based on the business model adopted
and how companies perceived their business model’s architecture to be linked with the
organisation’s market orientation. While the scale facilitated the measurement of ‘which’ and ‘how
much’ market-oriented behaviours were occurring, it did not reflect ‘how’ practitioners associated
the development of their business model’s architecture with their focus on being market oriented.
The interview guide aimed to bridge this gap and generate insights into, what, how and why flexible
business models emerged. Managers were not asked directly about their business models (though
many did use this terminology to describe their network architecture and market focus). Instead,
questions focused on the effect of the network architecture, the types of relationships being
developed and the market focus held by the firm and how these made it easier or more difficult for
the firm (and the network) to react to changing customer needs.
Particular attention was focused on a key issue within judgment sampling; identifying and gaining
access to ‘key informants’ who can provide genuine insights into the research issue. It was a
requirement of the research design to discover who was responsible for the development of business
models and how they were defined and implemented. Middle managers and executives were
identified as the most relevant sources in achieving this objective as their day-to-day involvement
12
with strategic development cast them in this role. In this way, this study adopted a ‘discovery-
oriented’ design (Dubois and Araujo, 2007).
[Take in Table 2. Here]
In order to generate in-depth insights, a broad cross-section of sectors was studied, with a bias
towards larger companies (Table 2). Larger companies tended to have more developed business
models which were to be the focus of our study. To allow comparison, interviews were conducted
in a matched-pairs sample of twenty high-performing and twenty low-performing organizations.
We wanted to examine firms that had demonstrated market-leader performance over the medium
term so the FT 1000 list was interrogated using both the Dunn & Bradstreet and the FAME
databases as secondary sources of published market-performance data. We identified one hundred
companies that met our criteria. Each high performance firm was approached and thirty-two
companies agreed to participate in the study. The high performance firms were then asked to
identify ‘a poor performing competitor’; each was asked to participate. Using this snowball effect
(Sudman, 1997) we ended up with the agreement to participate from twenty matched-pairs of high
performance/low performance firms.
In each organization, at least two separate interviews were undertaken, with the number of
interviews totalling 101. Marketing managers were initially contacted by telephone and they helped
to identify key informants. Informants were typically of the middle and top management levels and
ranged from Chief Executive Officers to Supply Chain Directors. Each interview was conducted
individually and commonly lasted one hour (although one interview was for six hours). Each
interview was audio-recorded and later transcribed. The analysis of data collected placed a
significant emphasis on verbatim quotations from informants. All recorded interviews were
analysed via methods of inductive reasoning and comparative methods (Turner, 1981). Codes were
generated by first looking for factors that were thought to have influenced a firm’s ability to achieve
a customer and competitor focus. Factors were subsumed into groups that seemed to have
commonalities.
The coding process revealed three distinct types of exchange relationship; transactional
relationships (where firms made exchange decisions on the basis of price or quality); network
influence (where firms made exchange decisions based on long term relationships and shared
strategic objectives between trading partners) and corporate ownership (where firms made exchange
decisions based on their corporate ownership of other supply chain members). The literature was
revisited to explore the appropriateness of these possible categorisations. The extent and
configuration of these types of relationship within a given supply chain were found to vary upstream
13
and downstream. Firms were categorised based on the extent to which they adopted the three types
of the relationship upstream and downstream of their supply chain. This was not always easy to do
as some supply chains were quite complex and involved a mixture of these different types of
relationships. Consequently, follow-up, clarification interviews with respondents were carried out,
during which it was decided that categorisations should be based on the types of relationship that
seemed to have most influence on the way the supply chain worked (upstream and downstream).
The researcher verified the classifications with the original respondent from each firm. In this sense,
the categorisation of relationship types represents the shared perceptions and understanding of the
researcher and the respondents. The combination of relationship types upstream and downstream
created taxonomy of nine business model architectures. However, the data revealed only six
business model architectures. In this way there was an iterative process between the data collection,
analysis, existing theory and theoretical development. The following section discusses the six
business model architectures identified in the study.
6. The Flexibility of Six Alternative Business Models
This section presents a summary of empirical findings related to a matched pair sample of 20
high performing and 20 low performing firms in the United Kingdom. The six business
models are labelled and their architecture and level of business performance are detailed
(Table 3). The data show the ‘majority usage’ of network influence, transactional
relationship or corporate ownership within each business model. Second, we present data
pertaining to the business model focus of each of the six business models, including customer
orientation, competitor orientation, inter-functional co-ordination (Table 4). A discussion
follows, regarding the ability of each business model to respond flexibly to changing
customer needs. This section concludes with a summary of key findings.
[Take in Table 3. Here]
The Network Influence Business Model
The Network Influence Model included firms with strong, long-term, inter-firm relationships
both upstream and downstream. Upstream network influence was found to exist with raw
material and component suppliers. Typically suppliers were categorized as 1st, 2nd or 3rd tier
and were involved with developing inter-firm relationships. Downstream customers included
retailers and wholesalers. All eighteen firms adopting this business model were involved with
the manufacture and/or assembly of tangible products (Figure 4).
14
Delivering customer satisfaction, monitoring customer needs and creating customer value
were associated with building relationships directly with end-customers and with the
flexibility to react quickly to changing customer needs. Firms used consumer information to
create and propose flexible solutions to end-customer needs. Consider a leading cereal
manufacturer. Aware of the value derived from their brand, they used their business model
focus to define their market and then developed their network architecture to find the
resources to serve it. The Supply Chain Manager of a cereal manufacturer explained, when
talking about the factors that influenced the types of relationships he tried to build in his
supply chain;
“…we‘re in rice and corn…there are of course sectors that we’re not playing…. We
focus on life style – you have a children’s section, adults section and then you have
adults’ basic, adults’ luxury” [Take in Figure 4. Here]
Consumer information allowed this Supply Chain Manager (working with the marketing and
product development team) to identify new opportunities in the business of Ready-to-Eat
Cereals, resulting in the introduction of cereal bars,
“…because we recognize that peoples’ eating styles are changing. They’re not sitting
down to have breakfast…” (Supply Chain Manager, cereal manufacturer)
Initially traditional retailers would not give shelf space to the product innovation. The
manufacturer drew on relationships with petrol forecourt proprietors and developed targeted
marketing campaigns to sell cereal bars to ‘people on the run’. This innovative approach to
the network proved profitable for manufacturer and retailer.
The nine high-performance firms in this group provided much more evidence than low-
performance firms of inter-functional co-ordination. Low performance firms were
particularly poor at sharing information about customer experiences and understanding how
the different functions within the firm could contribute. All but two firms selected as low
performers reported low performance for new product success. Nearly half of the low
performance firms reported high levels of customer retention.
High-performance firms reported high levels of new product success, sales growth, customer
retention and brand equity. Returns increased largely through cost saving exercises, which
frequently involved business model considerations including increased outsourcing, improved
efficiency and higher margins on products. Firms cited specific examples of business
performance improvement exercises including attempts to influence their business network.
The cereal manufacturer explained,
15
“..we’re taking an extra day of stock out, and some of these customers are taking
stock that represents £500,000 just in cereals…if you took 3 or 4 days… we’re talking
[about saving] millions” (Supply Chain Manager)
Process innovations such as this create flexibility in response time as demand fluctuates (Lee
et al., 1997).
The Transactional Business Model
The transactional business model represented firms buying and selling on the basis of price,
quantity and delivery agreements (Figure 5). Upstream transactional relationships were found
to exist with raw material and component suppliers where components were considered a
commodity product (milk, sugar, fabrics, cotton, and chemicals, salt). Downstream
customers included retailers and wholesalers. All firms were involved with manufacturing.
[Take in Figure 5. Here]
All three firms adopting this business model were low-performance firms (Table 3). The
interviewees were aware of their organisation’s business performance problems and linked
poor customer focus, competitor focus and inter-functional co-ordination with a lack of
flexibility. For example, a slipper manufacturer outsourced the sales function because of the
seasonal peak of sales around Christmas. Thus the sales function became a variable cost
instead of a fixed cost. However, sales agents proved to be ‘a real problem’ to monitor and
control. Their motivation was observed to be, ‘sometimes limited’ and their priorities to be
‘different’ from those of their supplier manufacturer,
“…retailers want to buy on price but we feel that the consumer wants to buy on
quality and we make quality products.” (Managing Director, slipper manufacturer) The mismatch between the perceived and actual needs of the end-customer, have created a
significant problem for the slipper manufacturer. Forming long-term relationships with their
downstream customers could have perhaps helped them predict change as cheap imports
flooded the market. Sales agents used transactional relationships downstream, which
hindered customer focus.
Another firm described the impact of supply problems on customer focus,
“We have unhappy customers because of our supply chain problems… one of our big
retailers has threatened delisting… we’re one of their worst suppliers…. We can’t
react to the changes they need…we’re too slow”
The flexibility in response time has been related to inter-functional co-ordination (Christopher
2000). Inter-functional co-ordination seemed hampered either by the difficulties experienced
16
in introducing innovative technologies or the absence of such innovations. For example, one
firm introduced SAP software to allow visibility between functions of stock, work-in-progress
and material requirements. Training had been difficult, costly and time-consuming. Stock
ordered by SAP continues to be regularly amended by phone or fax. A General Manager
(Health & Beauty products manufacturer) observed,
“…our customers speak a different language to us”.
Pressure from customers, demands flexibility; shorter lead times, changes to methods of
transaction and changes to quantities and packing requirements. SAP is gradually facilitating
these improvements and this is resulting in the identification of the need for downstream long-
term relationships.
The Franchise Business Model
The franchise business model utilized long-term relationships upstream and ownership
downstream. We labelled this model the Franchise Business Model as it is the model most
widely used in Franchisor/Franchisee supply networks (examples include the Body Shop,
McDonalds and Star Bucks). Seven of the eight firms adopting this model were identified as
high-performance firms and were involved in manufacturing. Two firms had integrated
downstream into retailing (Figure 6a). One high-performance retailer had no history of
manufacture (Figure 6b). The firms in this group were not specific to a single industry sector
or product type.
After 175 years of manufacturing shoes, one firm was developing a new business model,
outsourcing production and refocusing its business activities on retailing. As recently as 6
years ago, 70% of the manufacturing output came from the firm’s own factories; the other
30% was sourced overseas. Now that situation is almost completely reversed:
“…we’ve moved from a predominantly manufacturing base to a much more retail
responsive supply chain. Before we used to make shoes and then try and sell them,
now we’re trying to make the shoes in response to somebody wanting them.” (Purchasing Manager, shoe manufacturer)
The Purchasing Manager explained how purchasing from offshore shoe manufacturers had
switched a significant proportion of fixed costs to variable costs. By building long-term
relationships with offshore, upstream suppliers, our manager (together with the teams in the
offshore manufacturing firms), had been able to share market information and manufacturing
expertise in ways which enabled the supply chain to respond quickly to changing consumer
fashions.
17
[Take in Figure 6. Here]
Firms adopting the franchise business model had a high level of customer focus and
commented on the need to understand end customers through effective monitoring systems
such as loyalty cards. Downstream ownership was thought to have increased the collection
and dissemination of market intelligence, driving inter-functional and inter-firm co-ordination
(Table 4). For example, a manufacturer of children’s squash managed to persuade a retailer
of a ‘need’ for a look-alike fresh juice drink (to appeal to the health conscious parent). The
retailer helped market-test the drink which became one of the most successful new product
innovations that year. The retailer’s Supply Chain Director explained,
“…sometimes [our] suppliers really know about the market”.
Competitor focus was found to be important in driving downstream integration. The
Managing Director of a pharmaceutical firm explained,
“…We have seen the demise of many of our independent distributors [so] 1) we lose
our distributor network altogether or at best work with them knowing that they are
our competitors and 2) the distribution companies become specialists… They have
logistics expertise but very little technical expertise so they don’t do the best job of
selling our products.”
The business performance data collected during interviews confirmed the matched pairs
sample divide on high and low performance. The only low-performance firm to adopt this
business model performed particularly badly on new product success, sales growth and
customer retention.
The Agent Business Model
The Agent Business Model incorporated ‘supplier-focused’ firms. These firms formed long-
term relationships upstream but sold their products downstream through transactional
relationships, on the basis of price, quantity and delivery agreements. As with the Network
Influence business model, downstream customers included retailers and wholesalers. In all
cases our firms were involved with the manufacture and/or assembly of products. Four firms
adopted this business model; three were from the low-performance sample. There was no
commonality of industry seen across the group.
[Take in Figure 7. Here]
Firms in this group viewed transactional relationships downstream negatively (Table 3).
They seemed aware of the potential advantages of developing long-term relationships with
18
their customers but innovation initiatives focused on the end customer and ignored immediate
customers. Despite contact with end customers, these firms seemed poor at collecting,
interpreting and disseminating market intelligence. Some respondents felt that they did not
have the resources to do more for customers. One firm had a consumer help-line which their
interviewee described as,
“our firm’s only contact to the outside world”. (Sales and Marketing Director, pharmaceuticals)
Customer contact was restricted to the relationship between sales representatives and buyers.
The firms in this group were very aware of the significance of creating customer value, but
with limited information share between firms and functions, they seemed to have little idea of
how to deliver value and how to utilize market intelligence to drive innovation.
Competitor focus was generally very low. A window manufacturer provided a response that
typified those operating transactional relationships downstream. Their Marketing Manager
commented,
“…our products are unique. Nobody makes them like we do so we haven’t really got
any competitors.”
Levels of inter-functional co-ordination were typically very low for the firms in this group.
The pharmaceutical company (a high performer) was particularly effective, using inter-
functional co-ordination to ensure they served target markets effectively. Their market was
described as ‘women’s health’ and they provided two significant products, HRT (Hormone
Replacement Therapy) treatment and the oral contraceptive pill to this market.
The remainder of firms adopting the Agent Business Model were poor at involving senior
functional managers (from R&D, purchasing, supply chain management, manufacturing and
even sales and marketing) in regular customer visits. They were also poor at sharing
information about customer experiences between functions. Instead, managers focused on the
technical innovations and new product developments with suppliers. One Marketing
Manager acknowledged,
“We spend vast resources with suppliers developing new products, packaging (to
make the administration of drugs easier…) and so on, but we’re just not good at
thinking about the needs of other folks in the supply chain – like the doctors and
the hospitals – we just don’t.” (Marketing Manager, Pharmaceuticals)
19
In this way, dealing with the needs of downstream supply chain actors is largely ignored and
consequently there appears to be little flexibility to adapt to changing customer needs in this
business model.
The Sales Oriented Business Model
The Sales Oriented Business Model included firms with transactional relationships upstream
and long-term relationships downstream. In this sense, the sales oriented business model
represented organisations with a ‘sales’ focus; working to understanding the market through
close relationships with downstream retailers, while purchasing supplies purely on the basis
of price and quality. All four firms were involved with the manufacture and/or assembly of
products and as such were labelled as having ownership of that supply chain stage. Two of the
firms had previously been identified as high performance firms and two as low performers.
There was no pattern amongst the industry or product types. However, one commonality
found was that all firms were purchasing commodities (for example, fabrics, chemicals, sugar
cane), to use in their manufacturing or assembly activities.
[Take in Figure 8. Here]
The high-performance firms were found to have a higher level of market focus than the low-
performance firms in this group. Two firms reported particularly high levels of customer
focus on the Narver and Slater (1990) scale, and of these both firms claimed that their
strategies were driven by their aim to innovate to leverage customer value. One firm linked
the ability of a firm to serve its customers directly with the business model adopted,
observing,
“…in the business we’re in, it’s the supply chain that will differentiate us really. I
see it as a sales tool.” (Marketing and Sales Director, pharmaceuticals)
This firm also reported high levels of competitor focus. They were very concerned with
internal information share regarding competitors’ strategies and their ability to react to
competitor actions. A sugar manufacturer also reported high levels of competitor focus but
felt that the power of their key competitor left them seeking out niche markets. By being able
to offer products derived from sugar cane, this company claimed their products were
perceived as,
“...superior baking ingredients”. (Marketing Manager, sugar manufacturer)
The Marketing Manager observed,
20
“…perception is seven tenths of the law.” (sugar manufacturer)
In contrast, the low-performing pharmaceutical firm had an almost fatalistic approach to their
business, not considering themselves as a challenger to the market leader. Their manager
explained that they were not quick to react to competitor’s actions; neither did they target
customers for competitive advantage. One firm adopting this business model reported the
lowest level of competitor focus.
Both high-performance firms reported higher levels of inter-functional co-ordination
compared with the low-performance firms in this group. The pharmaceutical and the sugar
company attached significant importance to managers regularly visiting customers and the
need to share that information between functions within their organisation. Equally, both
firms believed that it was inappropriate to invest in long-term relationships upstream when
purchasing commodities. Long-term relationships were thought to restrict the flexibility to
take advantage of price and quality opportunities in the marketplace. Furthermore,
communication technologies were cited as a significant tool that reduced the need for building
relationships;
“We have technology to enable us full visibility on supply and production …
We’re talking about buying, selling all this through interactive multi-media.”
(Marketing Manager, sugar manufacturer)
In the case of this sugar company, the use of Internet-based communications technologies by
a network of suppliers and customers has reduced the need to build business relationships in
order to share market knowledge.
The Retail Business Model
The retail business model included transactional relationships upstream and corporate
ownership downstream. Downstream customers included retailers and business-to-business
customers. Three firms adopted this business model including one high- and two low-
performance firms.
[Take in Figure 9. Here]
The two manufacturing firms (one high and one low performer) in this group demonstrated
strong market focus. We expected the low-performance firms to have a much lower market
focus. These firms demonstrated strong customer focus, stating that their objectives were
driven by customer satisfaction. Both firms had customer service monitoring systems in place
and systematically measured customer satisfaction. The low performing retailer admitted
21
they gave little attention to after-sales service or developing competitive strategies around
customer needs.
The two manufacturers felt they were able to react quickly to competitor’s actions and that
sales personnel shared information about competitors’ strategies. The retailer demonstrated
low levels of competitor focus and inter-functional co-ordination.
Customer focus took the form of consumer research information purchased from professional
research institutions, together with customer focus panels. The retailer reported two key
difficulties; 1) making information available across functions and 2) dedicating the necessary
resources. Work was duplicated, creating errors.
“…somebody has to key in the information about a single promotion 45 times so that
everybody who needs to know has access to the information they need...”
The high performer/low performer divide in the matched pairs sample was verified by the
business performance data. The high-performance firm considered themselves to have
extremely satisfied customers and described themselves as ‘market leaders’. Two initiatives
were thought to drive shareholder value – new product development and cost reduction
(which increased outsourcing and long-term relationships).
The low performance retailer described efforts to increase their market focus. The Supply
Chain Director acknowledged that their chosen strategy was costly and difficult to implement.
The retailer’s knowledge of customers also shaped their transactional relationships upstream.
The retailer explained that customers,
“…dictate 80% of the stock we carry”, (Supply Chain Director, food retailer)
And in this way, the retailer felt that they were always reactionary, buying as cheaply as
possible and frequently changing product lines. Further, the manufacturers supplying big
brands (for example, Heinz) did not see the retailer as key customer,
“…we are a puddle in their ocean”. (Supply Chain Director, food retailer)
In this regard, firm size, age and industry sector seem likely to have an impact on the
flexibility achieved by any specific business model.
In the bitumen sector, a high-performance manufacturer cited the highly technical nature of
their products as being the main driver behind downstream ownership; not only did they
manufacture bitumen, but they ‘installed’ it on road surfaces and other surfaces. The need to
work closely with customers in developing and delivering tailored ‘surface’ solutions meant
22
that the usual routes to market (such as wholesale or retail) were not an option. Using
bitumen as a surface meant incremental innovation formed part of every product-service
offering.
In sum, our findings suggest that the greater the level of integration downstream, whether that
integration was achieved through corporate ownership or network influence, the greater that
firm’s flexibility in re-orienting itself and its business network to changing markets. This
suggests that corporate ownership and long-term relationships might be considered as
isomorphic (Mahoney, 1992). Further, the positive association between business model
architectures that include downstream integration and business model focus on customer (and
consumer) needs appears to increase the network’s flexibility. Firms demonstrating strong
market-focused behaviour are also likely to benefit from increased business flexibility. In
contrast firms that pursued transactional relationships downstream fared less well on the
market focus and business performance criteria. They appeared distant from their
marketplace, having a poor knowledge of their customer base.
Upstream, the distinction between the integration approach and the level of market focus and
business performance achieved was less clear cut. Firms adopting both long-term and
transactional relationships upstream were found in both the high and low performance groups.
Interviewees emphasised outsourcing as a primary source of cost savings and suggested that
this was likely to increase. None of our cases adopted ownership upstream. Our findings
suggest that transactional relationships upstream in the business model are strongly associated
with the traditional efficiency perspective of networks while upstream network influence in
the business model is associated with product innovation and is typically found in business
models that also incorporate downstream integration through ownership or network influence.
7. Discussion and Conclusions
Building on an empirical investigation of a matched pair sample of 20 high- performing and
20 low performing firms in the United Kingdom, this study has generated some useful
insights into the flexibility of alternative business models. Examining flexibility within the
specific context of upstream and downstream relationships, we approached business models
as the emergent outcomes of preconceived types of relationship configuration that guide
problem solving. Thus in our approach, business models depict how firms frame their position
and activities within networks of exchange relationships. The analysis of empirical findings
reveals the existence of six distinctive business models that differ in their ability to provide a
23
flexible response to a continuously changing environment. The identification of these flexible
business models contributes in four key areas.
Flexible Business Model through Network Architectures
First, this investigation demonstrates that companies setting out to create and implement
flexible business models adopt an integrative perspective that combines elements of market
focus with network focus. Companies seek to align not just their own organization with
immediate market demands but also their organization’s web of business relationships with
suppliers and customers. This two-tiered approach adds to the existing theory of market
orientation (Narver and Slater, 1990) by suggesting that firms need to develop a supply chain
or business model architecture that can constantly orientate and re-orientate itself to the
market. Furthermore, our approach contributes to the current network theory (Gadde et al.,
2003) by emphasizing how the firm’s network might seek to flexibly re-align itself with
continuously evolving customer needs. The two problems discussed, demonstrate the
importance of creating customer preference in over-supplied markets through the creation of
flexible product and service offerings to their customers. The data show that availability of
technological links with multiple firms and individual actors provides companies with
numerous opportunities for direct contact with end customers.
Flexible Business Models through Market Integration
Secondly, this study shows that business models require downstream integration to create
flexibility. The empirical observation that integration can be achieved through either
corporate ownership or the development of network influence downstream is consistent with
earlier theories which suggest that well-managed inter-firm relationships and corporate
ownership are isomorphic in nature (Mahoney, 1992). The study reveals that positioning of
network influence or corporate ownership downstream facilitates and promotes a vital
interface with the end customer. The need for downstream integration has implications for the
way managers conceive and manage their network relationships downstream. In this regard,
identifying and working with key customers to create a new ethos of co-operation; collecting
and sharing market knowledge that seeks to maximize the creation of joint gains amongst
firms, will form a central part of the routines embedded in the flexible business models.
Flexible Business Models through Co-ordination
24
Thirdly, downstream integration within a flexible business model needs to be accompanied by
inter-functional co-ordination. While existing theories consider inter-functional co-
ordination at the level of the individual firm (Narver and Slater, 1990), our empirical findings
suggest that inter-functional co-ordination is being extended beyond the boundaries of the
firm and into the wider business network. For this reason, flexible business models provide a
new mindset that conceptualizes inter-functional co-ordination at a firm and network level. At
a more practical level, developing flexible business models requires a) structures that define
the connectivity among network members and b) routines and processes developed to support
the structures. Routines and processes, such as the collection, sharing and dissemination of
market data among network members, constitute the pumping of blood into the veins that
structurally connect the firms in the business model. Further, our findings suggest that
communications technologies play a key role in facilitating knowledge sharing.
Flexible Business Models through Business Relationships
Fourthly, flexible business models are often initiated when firms avoid corporate ownership
upstream. This may be attributed to transactional relationships and network influence
upstream. Transactional relationships upstream offer firms the opportunities to source the
most cost efficient supplies. Maximum flexibility appears to be associated with the sourcing
of commodities. When sourcing commodity products, firms often make purchasing decisions
on the basis of quality and price alone. Clearly limiting purchasing decisions to these two
critera would be highly inappropriate when purchasing technically complex products that
require maintenance and care (for example, aero engines or car seats), but when commodity
products such as steel, sugar cane or chemicals are being purchased, price and quality are
often understood as sufficient criteria. In such cases, commodities can be bought on the open
market, through transactional relationships. Such transactional relationships offer more
flexibility to firms. The need for upstream flexibility through transactional relationships has
implications for the way managers need to understand upstream, supply markets. Managers
could seek to map commodity markets and reach purchase decisions on the basis of cost and
quality criteria. In commodity markets, switching costs are low and competition is high,
therefore, companies need to regularly review the efficiencies created through these
transactional relationships.
Network influence upstream towards sources of supply offers firms the opportunity to identify
and sometimes influence technological innovations through a process of intensified
25
interaction with suppliers. Such product innovations may open the doors to new business
opportunities and drive market change. This may provide opportunities for companies to
develop innovation through an enhanced involvement of suppliers in generating customer
solutions. Companies need to identify and develop network relationships that drive effective
customer solutions and transcend the problem of over capacity through tailored customer
offerings.
8. Research Limitations and Future Research
Flexible business models help companies conceptualize their business relationships as they
seek to adapt to continuously changing customer needs. Further research in this area would
enrich our knowledge about how companies initiate, test and develop new, flexible business
models. The present research identified six key types of business model which appeared to
facilitated different types and levels of flexibility. While this research enabled us to identify
six alternative business model architectures, three business models architectures suggested by
the taxonomy were not identified through the data. This is a limitation of the present
research and future research could seek to identify the existence of business models that use
ownership upstream and ownership, influence or transactional relationships downstream.
Further research could also explore the flexibility of these business models as well as the
nature and dimensions of flexibility that are of most value to organisations. In this sense, a
second limitation of our research is that it does not explore the relationship between the
different flexible business model typologies and firm performance.
A third limitation of the study is that while we identified alternative flexible business models,
the data we collected did not enable us to identify firm size, industry or sector patterns
associated with any single business model architecture. Such knowledge might generate
insights for our understanding of more appropriate business models in certain sectors and the
appropriateness of the co-development of shared or overlapping business models in specific
industries. Our exploratory findings suggest that firm size, age and industry sector seem
likely to affect the appropriateness of different business model architectures. These
contingency factors require further investigation together with exploration of intervening
factors such as the evolution of corporate power within the network as organisations improve
their business performance.
26
Fourth, our research revealed that flexible business models often cross national boundaries.
The influence of country culture seems likely to affect the development of such business
models. In this sense, it may be that some flexible business models are better suited to
offshoring objectives. A focus on Offshore Business Models fell beyond the remit of our
research. However the exploration of flexible business models that incorporates firms from
more than one national base is likely to be informative.
Finally, while our research identified alternative flexible business model architectures, it
revealed little about the strategic and market practices that underpin their existence. We need
to learn about the activities and routines developed to bring flexible business models to life.
This research might be most effective if it is conducted through a carefully-designed
comparative study of different business models. Similarly, as companies develop flexible
business models and experiment with their development before rolling out the model to other
parts of their business, it may be useful to investigate the learning organizations go through
when developing flexible business models. This study has provided a platform from which to
start such exploration.
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Figure 1: The Sequential Business Model
End Customer
Downstream Upstream
Raw Material Supplier (Focused on manufacturer
customers)
Manufacturer
(Focused on retailer customers)
Retailer
(Focused on consumers)
31
Figure 2: The Network Focused Approach
Represents relationships with other network organisations (immediate and end customers)
Retailer
(Focused on consumers)
Raw Material Supplier (Focused on manufacturers
and retailers)
Manufacturer
(Focused on retailers and consumers)
Retailer
(Focused on consumers)
Raw Material Supplier (Focused on manufacturers
and retailers)
Manufacturer
(Focused on retailers and consumers)
Retailer
(Focused on consumers)
Raw Material Supplier (Focused on manufacturers
and retailers)
Manufacturer
(Focused on retailers and consumers)
Retailer
(Focused on consumers)
Raw Material Supplier (Focused on manufacturers
and retailers)
Manufacturer
(Focused on retailers and consumers)
32
Business Model Focus: � Customer Focus � Competitor Focus � Inter-functional Co-ordination
Business Model Flexibility
Figure 3: Flexibility, Business Model Architecture and Focus
Business Model Architecture:
Network Structure: � Upstream � Downstream
Relationship Typology � Transactional Relationship � Network Influence � Corporate Ownership
33
Figure 4: The Network Influence Business Model
Upstream
Our Firm
SUPPLIERS
Network Influence
MANUFACTURER
Ownership
CUSTOMERS
Network Influence
Downstream
34
Figure 5: The Transactional Business Model
Downstream Upstream
Our Firm
SUPPLIERS
Transactional
MANUFACTURER
Ownership
CUSTOMERS
Transactional
35
Figure 6: The Franchise Business Model
(a)
(b)
Our Firm
Downstream Upstream
Our Firm
SUPPLIERS
Influence
MANUFACTURER
Ownership
CUSTOMERS
Ownership
SUPPLIERS
Influence
RETAILER Ownership
36
Figure 7: The Agent Business Model
Downstream Upstream
Our Firm
SUPPLIERS
Influence
MANUFACTURER
Ownership
CUSTOMERS
Transactional
37
Figure 8: The Sales Oriented Business Model
Downstream Upstream
Our Firm
SUPPLIERS
Transactional
MANUFACTURER
Ownership
CUSTOMERS
Influence
38
Figure 9: The Retail Business Model
(a)
(b)
Our Firm
Downstream Upstream
Our Firm
SUPPLIERS
Transactional
MANUFACTURER
Ownership
CUSTOMERS
B2B
SUPPLIERS
Transactional
RETAILER
Ownership
39
Table 1: Market Orientation Scale
Dimension Items
Customer Orientation
Our firm’s objectives are driven by customer satisfaction
Our commitment to serving customer needs is monitored
Our competitive advantage strategy is based on customer needs
Our strategies are driven by our beliefs about creating customer value
Customer satisfaction is frequently and systematically measured
Close attention is given to after-sales service
Competitor Orientation
Our sales people share information on competitors’ strategies
We respond rapidly to competitors’ actions
Our top managers regularly discuss competitors’ strengths and weaknesses
Our customers are targeted for competitive advantage
Inter-functional Co-ordination
Our top functional managers regularly visit customers
We share information about customers and experiences between functions
Our business functions are integrated to serve target market needs
Our managers understand how everyone can contribute
(source: adapted from Narver and Slater 1990)
40
Table 2: Sample by Industry Sector
Industry Sector No. of Firms by Industry Sector Interviewees
Pharmaceutical 6
General Managers Purchasing Managers Marketing Managers Sales & Marketing Directors Managing Directors Supply Chain Directors CEOs
Aerospace 2
Food Manufacturer/ Provider 8
Apparel Manufacturer 4
Retail 4
Construction 6
Health & Beauty Products 4
Industrial Parts/ Electronics 6
TOTAL 8 40 101
41
Table 3: A Summary of the Business Models Identified
Business Model Type
Business Model Architecture
Business Performance
Total no. of firms
Upstream Downstream Level No. of firms
Network Influence Model
Network Influence Network Influence High 9
18 Low 9
Transactional Model
Transactional Relationship Transactional Relationship High 0
3 Low 3
Franchise Model Network Influence Corporate Ownership High 7
8 Low 1
Agent Model Network Influence Transactional Relationship High 1
4 Low 3
Sales-Led Model Transactional Relationship Network Influence High 2
4 Low 2
Retail Model Transactional Relationship Corporate Ownership High 1
3 Low 2
Total 40
42
Table 4: Business Model Architecture and Focus
Business Model Type
Business Model Architecture Total No. of Firms
Business Model Focus
Upstream Downstream Level Customer Focus
Competitor Focus
Inter-functional Co-ordination
Network Influence Model
Network Influence
Network Influence 18
High 11 8 6
Medium 5 4 8
Low 2 6 4
Transactional Model
Transactional Relationship
Transactional Relationship
3
High 0 0 0
Medium 1 1 3
Low 2 2 0
Franchise Model Network Influence
Corporate Ownership
8
High 5 7 6
Medium 3 1 1
Low 0 0 1
Agent Model Network Influence
Transactional Relationship
4
High 1 1 0
Medium 1 2 3
Low 2 1 1
Sales-Led Model Transactional Relationship
Network Influence 4
High 2 2 2
Medium 1 1 1
Low 1 1 1
Retail Model Transactional Relationship
Corporate Ownership
3
High 2 2 1
Medium 0 0 1
Low 1 1 1
Total No. of Firms 40