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European Management Journal Vol. 18, No. 5, pp. 529–541, 2000
 2000 Elsevier Science Ltd. All rights reserved
Pergamon
Printed in Great Britain
0263-2373/00 $20.00
PII: S0263-2373(00)00042-6
Assessing the
Performance of Strategic
Alliances:
Matching Metrics to
Strategies
KAREN CRAVENS, University of Tulsa, USA
NIGEL PIERCY, University of Cardiff Business School, UK
DAVID CRAVENS, Texas Christian University, USA
For many organizations, the current business
environment compels the use of collaborative
alliances as an important component of strategy.
Consequently, the need to assess the performance
of these alliances becomes a priority as more and
more companies enter into such relationships.
Analysis of alliance success during the last decade
indicates that performance evaluation is a critical
success factor, and the reality is that many compa-
nies do not develop and implement formal per-
formance evaluation processes. It is often difficult
to create a formal evaluation process due to the
unique nature of the alliance structure. We propose
the use of the balanced scorecard as a means to
develop a formal assessment approach that links
performance evaluation to the objective of the
alliance. The result is a generic template that can
be adapted to the specific alliance evaluation
requirements of a particular organization.  2000
Elsevier Science Ltd. All rights reserved
Keywords: Strategic Alliances, Balanced Scorecard,
Performance Evaluation
It is apparent that strategic alliances, supplier and
manufacturer partnering, value chain relationships,
joint ventures, and other forms of collaboration
between previously independent organizations have
escalated in importance during the 1990s. These
organizational initiatives have attracted extensive
attention by scholars and executives in their efforts to
European Management Journal Vol 18 No 5 October 2000 529
analyse and evaluate alliance strategies (Gulati, 1999;
Gulati and Singh, 1998; Sivadas and Dwyer, 2000).
Indeed, estimates from The Economist (1999a) sug-
gest that more than 20,000 inter-organizational
alliances were formed in the period between 1996
and 1998 alone.
Alliances are formed for a variety of reasons (Bleeke
and Ernst, 1991; Khanna et al., 1998; Prahalad and
Hamel, 1990; Powell, 1987), including an increased
focus on the use of an alliance as a strategic device
(Kale et al., 2000). Various forms of partnering have
become important components of strategy for many
companies, reflecting the compelling logic of collab-
oration. Similarly, research regarding alliances has
shifted from consideration of conditions favourable
to alliance formation to evaluating the outcome of
alliances and the effects on partners (Dussauge et al.,
2000), and the selection of particular partners (Chung
et al., 2000).
Business Week (1999) reports an estimate by the influ-
ential Andersen Consulting company that it is typical
for an average large corporation to have more than
30 alliances in operation, compared to none a decade
ago. Andersen Consulting predicts that by 2005 glo-
bal alliances will total $(US)25 trillion to $(US)40 tril-
lion in value. The underlying logic of such strategies
is that combining the distinctive capabilities of two
or more companies enables each participant to obtain
greater productivity from its skills and resources,
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
while at the same time sharing external risks and
uncertainties with partners. Yet, there is a significant
element of internal risk involved in agreeing to form
an alliance with a partner or partners. Research is
also beginning to explore the interaction between
potential gains from the alliance as compared to
increased risk of opportunistic behaviour by a part-
ner (Kale et al., 2000).
An illustration of the current alliance environment is
provided by the strategic initiatives for international
partnering pursued by air carriers. The trade source
Airline Business indicates that by the spring of 1998
the total number of alliances in the industry had
reached 500 (The Economist, 1999a), The strategic
logic is that a global alliance, such as OneWorld with
American Airlines and British Airways at its core, can
expand global coverage through the formation of
alliances with other airlines serving different geo-
graphical regions, more effectively than could other-
wise be achieved.
Indeed, many of the innovative business models cre-
ated by new-style competitors rely on effective
alliance building and management. Researchers are
beginning to explore the manner in which firms
develop ways of managing alliances in terms of
learning effects (Anand and Khanna, 2000). Dell
Computer’s direct business model rests on ‘virtual
integration’ with suppliers and customers based on
information exchange and learning. Dell’s model
attempts to turn conventional buyer – seller relation-
ships into collaborations. Amazon.com’s exploitation
of its unique Internet business model relies on suc-
cess in building a network of ‘associates’, whose web
pages carry links to Amazon, and partners whose
products and services Amazon can market in turn to
its customer communities. Furthermore, lean supply
chain programmes, like Efficient Consumer Response,
which has revolutionized the grocery business, are
built on horizontal and vertical alliances and collab-
oration between companies replacing traditional
competitive relationships. The influence of these new
business models underlines the urgency of recon-
sidering the management approaches most effective
in this new reality.
In recent years considerable attention has been
devoted to determining the advantages and limi-
tations of strategic partnerships, for example in terms
of the selection of suitable partners, and the develop-
ment of collaboration plans. However, it should be
noted that recent estimates suggest that two-thirds
of the inter-organizational strategic alliances formed
between 1992–1995 were dissolved (The Economist,
1999b) Indeed, the high failure rate of strategic
alliances has placed major emphasis on developing
robust alliance formation guidelines and processes,
as well as attempting to identify what types of firms
form effective alliances and the underlying rationale.
However, it is surprising that far less attention has
European Management Journal Vol 18 No 5 October 2000
530
been focused on assessing the performance of stra-
tegic relationships. According to Andersen Con-
sulting, a major reason for the high failure rate of
alliances is that only 31 per cent have developed and
implemented formal performance measures, and
only one in five executives considers the measures
that have been implemented to be reliable indicators
of alliance success (Business Week, 1999). The lack of
reliable performance indicators is probably associa-
ted with the lack of general consensus regarding the
requirements for a successful alliance, and major dis-
agreement on appropriate measures to assess per-
formance. Compounding the problem is that strategic
alliance relationships require organizations to place
more emphasis on relatively unfamiliar subjective
criteria, and measures such as trust, commitment,
and other intangibles. It is this aspect of the assess-
ment process that is perhaps even more crucial in
increasing the likelihood for a positive outcome for
all of the partners in a strategic alliance strategy.
Responding to these important concerns, we present
and illustrate a process for designing an evaluation
plan to assess the performance of strategic alliance.
First, we outline the process of developing an evalu-
ation plan. Next, we examine the design of a manage-
ment control system necessary for the selection of
evaluation criteria. Finally, we describe the use of the
balanced scorecard framework as a promising evalu-
ation method, including guidelines for implementing
the evaluation plan.
Developing an Evaluation Plan
The failure to adopt a formal process to assess
alliance performance is a potential hurdle for many
companies in managing these complex relationships.
Our logic is that it is essential to create a formalized
plan for evaluating the performance of a relationship
with a single partner or multiple partners. Figure 1
outlines the sequence of actions for establishing such
a plan. Developing the evaluation plan begins with
assessing the rationale or strategic objective for the
relationship.
Rationale for the Relationship
A strategic intent by partner companies establishes
the need for a relationship. For example, an alliance
may be sought to fill a crucial gap in skills or to
obtain access to resources, or the relationship may
seek to provide opportunities in the form of sharing
the risk of a new venture. The goal may be entry to
new markets where local barriers exist. A successful
example of overcoming barriers is the long-standing
relationship between Corning, the US glass manufac-
turer, and Samsung, the South Korean electronics
company. This relationship started with a single
plant making television tubes in South Korea and has
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
Figure 1 Developing an Alliance Evaluation Plan
grown into a wide-ranging agreement covering much
of east Asia. Regardless of the initial motivation for
creating a relationship, it is the strategic intent for the
future that will eventually provide a basis from
which to evaluate the performance of the relation-
ship. For example, the intent of alliances of State-
owned and independent organizations in developing
countries like China is, in part, to gain learning
opportunities, such as partnering with Boeing in air-
craft production. The nature of the objectives will
drive the type of partners sought, the manner in
European Management Journal Vol 18 No 5 October 2000 531
which the relationship operates, and thus the type of
evaluation metrics selected for evaluation.
However, it is important to remember that the ration-
ale for the relationship may evolve, indicating the
need for similar evolution of performance appraisal.
The benefits sought from the relationship may
change in priority during the lifetime of the alliance,
and benefits unforeseen at the outset may become
important.
Resource and Risk Relationships
In forming an alliance, firms will seek partners to fill
gaps in skills or resources or to add to their own dis-
tinctive capabilities. Consequently, both of these stra-
tegies create risks depending upon the type of
resources sought. Das and Teng (1998) characterize
the types of resources that the partners bring to the
relationship as financial, managerial, physical, and
technical. In conjunction with these resources, two
types of risk are possible: relational and performance
risk. Performance risk is possible with any strategy,
while relational risk exists only with collaborative
relationships. Relational risk is the risk of opportun-
istic behaviour of one of the partners having a nega-
tive impact on the other partner(s).
Given an environment of differential resources
among the partners, various types of total risk will
result. Consequently, the relationship must be man-
aged to maximize available resources and to minim-
ize risks. Means of evaluating the relationship must
be tailored to the resources provided in the relation-
ship and the degree of relational and performance
risks assumed. Particular elements will be more criti-
cal to partners with various combinations of
resources and risk and will have implications for the
selection of evaluation mechanisms.
Evaluation Implications of Strategic Intent
Table 1 illustrates the elements that may affect evalu-
ation of the relationship in conjunction with different
types of resources and risks assumed. The first col-
umn of Table 1 identifies the four major forms of
dominant resource contributions that a partner can
make to a relationship. The focus on resources pro-
vides some insight as to the concerns of the partner
relative to the risk relationship with each partner. We
enhance Das and Teng’s (1998) framework by trans-
lating the concerns relative to risk to specific
elements that may appear in the control system struc-
ture. For example, partners contributing financial
resources when they perceive the relational risk to be
high are likely to exhibit a lower level of trust toward
their partner. This lack of trust results in a desire to
achieve control over the decision-making process.
Thus, the partner contributing financial resources
often seeks an equity interest in the other partner.
From a control system perspective, a hierarchical
approval structure might be implemented.
In the same resource situation coupled with higher
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
Table 1 Evaluation Implications of Strategic Intent in Relationship Formation*
Dominant resource Type of risk perceived Evaluation implications Control system components
contribution of partner as high
Financial Relational Lack of trust by investing partner Hierarchical approval structure
creates preference for control over
decision-making which often manifests
in equity ownership
Performance Profitability concerns creates a desire Short-term evaluation metrics
for explicit exit provisions in the Financially-oriented metrics
contract
Managerial Relational Lack of trust between partners The dominant partner seeks to
compels tighter control mechanisms; place its managers in key positions
hierarchical structure of authority of authority
Performance Higher levels of trust between Co-ordination among partners is
partners; focus on improving critical
managerial efficiency Top managers selected by all
partners for extended periods to
encourage co-ordination and
interaction
Physical Relational Stability is the goal of the relationship Tight controls to limit opportunistic
among partners; Incentive to link behaviour
partners to the alliance in a long-term Formalized networks for transfers
manner; Propensity for shared equity
ownership
Performance Much lower incidence of this type of Short-term evaluation metrics
risk; overall goal is resource flexibility
and recurrent contracts
Technological Relational Preference for controls over Lack of free flow of information and
information from proprietary processes communication; formal
communication mechanisms
Performance Preference for licensing technology to Short-term evaluation metrics
multiple partners Financially-oriented metrics
*Based on Das and Teng (1998)
performance risk, the partner contributing the finan-
cial resources may desire explicit exit provisions to
escape more easily from the relationship if it is not
profitable. This could create a preference for short-
term evaluation metrics and metrics that are financi-
ally oriented in general to provide information about
the profitability of the relationship. Examples of met-
rics include market share, expense-to-budget ratio,
and profit contribution.
The three additional types of dominant resources
depicted in Table 1, managerial, physical, and tech-
nological, create various implications for evaluation
according to the perception of the degree of relational
versus performance risk. Control system components
will differ according to the desires of the partner in
terms of minimizing the dominant type of risk. For
example, relational risk concerning technological
resources is particularly relevant in the case of the
General Electric/Pratt & Whitney alliance. This
alliance was formed in response to the tremendous
development costs and market risks in developing a
new engine for the Airbus super-jumbo commercial
jet. In other ventures General Electric Engines and
Pratt & Whitney are direct competitors. Controls over
information from proprietary processes are thus high
priority issues for both partners.
European Management Journal Vol 18 No 5 October 2000
532
Form of the Relationship
Articulating the rationale for the relationship pro-
vides necessary guidelines for determining the form
of the relationship. The form is particularly critical as
various components in the governance structure will
assume different priorities. The three primary forms
of relationships are contractual alliances, joint ven-
tures, and some level of minority equity ownership.
The form of the relationship thus influences the types
of hierarchical controls enacted. Gulati and Singh
(1998) detail the elements of hierarchical control in
the governance of strategic alliance relationships as:
(1) a command structure, including authoritarian
communications; (2) incentive systems with corre-
sponding rewards and punishments; (3) standard
operating procedures to facilitate decision-making;
(4) procedures to resolve disputes; and (5) non-mar-
ket pricing systems. The relative importance of these
elements will vary in an alliance according to the
anticipated co-ordination costs and interdependence
of the alliance. All of these elements are imbedded
in the nature of the management control system of
the relationship.
Strategic relationships may be domestic or inter-
national in scope, include partners in the same indus-
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
try or other industries, and may involve collaboration
on technology, product development, manufactur-
ing, marketing, or finance. The management control
system for the relationship requires a clear definition
of the scope of the project and how the partners are
linked together. For example, an alliance to co-brand
a line of breakfast cereals between two organizations
such as Healthy Choice and Kellogg may only
require agreeing to place the Healthy Choice name
on certain types of cereal produced by Kellogg,
assigning the marketing responsibilities of each part-
ner, and determining how expenses and profits will
be shared. In contrast, a global airline alliance like
OneWorld requires a complex network of marketing,
finance, and operations functions.
Table 2 provides several illustrative implications for
evaluation when considering the form of the relation-
ship in conjunction with the dominant resource con-
tributed. Evaluation implications differ across the
four types of resource contributions and three forms
of relationships. For example, financial contributions
can be more clearly defined compared to technologi-
cal resources. Safeguarding resources becomes very
important when technological resources are
involved. Several other illustrative implications are
noted.
Calyx and Corolla (C&C) functions as a centralized
florist with a network of contractual relationships
with flower growers in the US. This entrepreneur
markets fresh flowers by mail order, delivering them
by Federal Express to the customer’s home or office.
C&C designs the flower arrangements that appear in
its catalogue and website and provides attractive
Table 2 Implications of Relationship Form
Resource contribution Form of the relationship Illustrative evaluation implications
or rationale
Financial Contractual alliances Need for accountability, particularly with informal relationships.
Joint ventures Easier to base incentive system on financial measures, since
the venture becomes a separate organization.
Minority equity ownership Financial measures monitored more closely
Managerial Contractual alliances Establish responsibility for performance evaluation due to
difficulty in integration and co-ordination
Joint ventures Incentives can relate to qualitative measures; easier to
monitor due to separate entity
Minority equity ownership More difficult to build consensus; encourage more flow of
information
Physical Contractual alliances Important to clearly define partners’ physical resource
contributions and how they are combined
Joint ventures Less concern over safeguarding assets and contributions to
the partnership
Minority equity ownership Contribution should be easily identified
Technological Contractual alliances Safeguarding resources is a priority; difficult to monitor
contributions of partners
Joint ventures Must align incentives to deal with inequality between
managers of the partners and with managers of the parent
firms
Minority equity ownership May be used as an incentive to encourage majority partner
European Management Journal Vol 18 No 5 October 2000 533
packaging materials with the C&C logo to the flower
growers who assemble the flower arrangements. In
this contractual alliance, the growers are contributing
physical resources, and issues such as safeguarding
technology or creating trust among partners are not
relevant. In terms of evaluation implications, Table 2
notes that it is most important to clearly define the
physical resource contributions of the growers and
how these resources are combined with other
elements of the process. Thus, evaluation metrics
would focus on the ability of the growers to assemble
and ship the flowers on a timely basis and in the
manner ordered. Since C&C has a very small core
staff, it can adapt very rapidly to changing market
and customer requirements but is highly dependent
upon the actions of the growers who interact directly
with the customers. The evaluation system would
need to monitor the extent to which the growers can
respond to customer orders once they receive the
request from C&C and if the orders are provided for
shipment correctly and quickly. C&C also relies on
standardization of the product since the customer is
ordering based upon expectations from looking at the
catalogue or website. Metrics might include this fac-
tor as well. Core managerial resources and financial
responsibility are provided by C&C and are not rel-
evant to the relationship with the growers.
It is also important to recognize that networks of
alliance relationships evolving over time can make
the relationship form complex and provide the chal-
lenge of evaluating multiple alliances for a single
company organized under different management
structures. Johnson Matthey (JM) is a global specialist
in precious metals, catalysts, and electronic materials.
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
JM’s alliance with a circuit board manufacturer,
Details Inc. in California, is built largely on the infor-
mal personal relationship between the presidents of
the companies. More formal is JM’s relationship with
Japan’s ceramic chip producer Kyocera, which is
handled by an executive management committee. At
still a higher level of formality is the alliance with
Mitsubishi, where a full infrastructure has been cre-
ated for the venture with the CEO from JM and the
workforce seconded from Mitsubishi. In addition,
some JM alliances, such as that with the Canadian
Ballard Power Systems fuel cell producer, serve a
specific technological purpose and are then re-
thought or dissolved to reflect new circumstances
(Lester, 1998, p. 25).
Strategic Objectives
The strategic objectives of the relationship are con-
sidered as the next step of the evaluation process,
because they provide a critical part of the foundation
on which the management control system for the
relationship is built. The underlying logic is that the
strategy of the relationship yields strategic objectives,
while the management control system provides the
mechanism for implementing the strategy of the
relationship. The elements of the control system pro-
vide management with the means to assess the per-
formance of the relationship in terms of achieving the
strategic objectives. The primary benefit of recogniz-
ing the control system structure in this way is that it
is relevant for implementing the strategy. This
approach also underlines the fact that if the strategy
or strategic intent of the relationship changes, then
the control system must be adapted and redeveloped
to respond to this change.
Our logic is that the evaluation criteria for assessing
the performance of the entire relationship should be
developed according to the relative importance of the
various strategic objectives established by managers.
However, it follows that as strategic objectives are
modified during the lifetime of the alliance, to remain
effective the evaluation criteria must be adapted as
well. The importance of this process of evolution and
adaptation of evaluation criteria in line with chang-
ing strategic objectives is highlighted by the fact that
the control system also includes such elements as the
performance evaluation and reward system for the
individual managers involved in implementing the
strategy. The dangers inherent in appraising and
rewarding managers on the basis of outdated criteria
is clear.
Design of the Management Control
System
Management’s rationale for the strategic relationship,
decisions concerning the form of relationship, and
European Management Journal Vol 18 No 5 October 2000
534
the strategic objectives set key guidelines for design-
ing the management control system (see Figure 1).
The control system is ‘the process by which managers
influence other members of the organization to
implement the organization’s strategies’ (Anthony
and Govindarajan, 1998, p. 6). It is ultimately the
elements of the control system that determine the
execution and success of a corporation’s strategy. For
example, the strategy may be formulated to achieve
competitive advantage, but if the execution of the
strategy is flawed, this objective may not be achieved.
Emphasis on the control system structure allows the
partners to assess what controls are necessary rela-
tive to the strategy for the relationship, independent
from their own separate control systems. The
relationship partners must determine the nature of
controls in terms of flexibility and structure. Will the
controls be formal or informal, and will the organiza-
tion function in a flexible or hierarchical manner?
These controls then form the basis of the evaluation
system and the type of metrics that are collected.
The management control system for any type of
inter-organizational relationship can be characterized
as somewhat of a hybrid. Each of the partners in a
relationship will have an existing management con-
trol system in place to implement its own inde-
pendent strategies. A unique management control
system is created for the relationship that exists
among the partners. This hybrid system will function
in tandem with the partners’ separate control sys-
tems, but will be oriented exclusively towards
implementing the strategy for the relationship. Thus,
this new system may be biased by the elements of
the partners’ separate control systems. The challenge
arises in defining specific elements of the alliance
control system that truly are tailored to the relation-
ship and are not merely repetitive of existing con-
trol systems.
For example, consider the alliance between Hewlett-
Packard and Matsushita Electronics for the develop-
ment of H-P’s fax machine. Matsushita contributed
the fax technology, while H-P incorporated Inkjet
printer technology. Both of these technologies existed
before the introduction of the new fax machine. How-
ever, it was the combination of these two partners
that resulted in the creation of the new product.
Existing control systems for each partner may have
relied on different metrics than would be relevant for
the new product creation. Activities involving the
responsibility for developing the new product con-
cept testing are relevant to the control system of the
alliance and may not have been in place separately
for the partners. For example, the alliance control
process must take into account the shared product
design and manufacturing responsibilities.
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
Selection of Evaluation Criteria
One of the key features in alliance success is the pres-
ence of constant evaluation and monitoring of the
alliance (Segil, 1998). Without a specific set of evalu-
ation criteria tailored to the objectives of the relation-
ship, it is not possible to provide information regard-
ing the success of the relationship. This information
is crucial so as to adjust strategy and the operational
mechanisms of the relationship. If a management
control system for the relationship is in effect, then
the evaluation criteria should be a product of these
controls. Thus, a separate control system must be cre-
ated for the alliance to determine evaluation criteria
that may be independent of the partners’ existing
control systems.
The Balanced Scorecard Framework
One way to formalize this process is to employ the
balanced scorecard developed by Kaplan and Norton
(1996). The balanced scorecard system illustrates how
the strategy of a firm can be translated into perform-
ance measures based upon four perspectives: finan-
cial, customer, internal business process, and learn-
ing and growth. These four perspectives provide the
balance necessary for a company to focus on issues
that are indicative of longer-term success, rather than
concentrating on short-term financial measures. This
framework is particularly relevant in our present
context, since the strategy selected for the alliance
drives the development of the balanced scorecard.
Similarly, since financial measures may not be suf-
ficient to reflect the true performance of the relation-
ship in either the short- or long-term, the balanced
scorecard framework forces managers to consider
other measures of performance. However, it is worth
noting that the effectiveness of balanced scorecard
approaches relies on the existence of ultimate
accountability — a manager or group exercising lead-
ership in the alliance — since effective performance
appraisal metrics must be linked to internal struc-
tures and processes, as well as alliance objectives.
Kaplan and Norton (1996, pp. 173–5) describe how
the balanced scorecard can be applied to the joint
venture form of an alliance between several oil-field
services companies. They assert that the balanced
scorecard can help integrate the goals of these inde-
pendent organizations. The joint venture developed
strategic measures that were based on the goal of
improving productivity in terms of reducing the
entire life cycle cost for a barrel of oil. Operationally
the measures defined how the separate entities
would work together to achieve this goal. In addition
to traditional financial measures such as return-on-
capital, cash flow and revenue growth, the joint ven-
ture included a new measure — percentage of total
business that involved multiple operating companies
within the joint venture. The customer measure was
European Management Journal Vol 18 No 5 October 2000 535
reduction in cost per barrel of the oil at the wellhead.
Internal business process measures followed from the
customer perspective and were focused on entities
working together: cost reductions identified by work-
ing together in cross-business teams, and sales vol-
ume from new service capabilities from working
together. Finally, the learning and growth measures
considered the extent of teamwork relationships,
enhancing cross-functional skills, and aligning incen-
tives that related to integration.
Using the control structure described in earlier sec-
tions, Table 3 identifies control elements which sug-
gest specific evaluation criteria that may be dominant
in a variety of situations. The balanced scorecard
allows us to propose an initial generic evaluation
framework without knowledge of the specific stra-
tegic objectives of the relationship. However, while
this framework provides a valuable template, the
need for customization is paramount. Without this
customization the balanced scorecard is unlikely to
be effective as an alliance evaluation mechanism.
Ultimately, the strategic objectives will determine the
evaluation criteria. Similarly, the resources provided
by the partners and the form of the relationship will
also influence the specific evaluation criteria.
We provide Table 3 as a means to evaluate alliance
relationships in terms of the balanced scorecard
framework. A focus on this perspective in conjunc-
tion with the various management control system
activities is one way to insure that all relevant areas
are considered in evaluating the effectiveness of a
relationship in terms of the strategy of the relation-
ship. This format is applicable regardless of the
rationale for collaboration, the nature of the relation-
ship structure, the stage of the relationship, and the
specific strategic objectives.
The Need for Customization
Kaplan and Norton (1996) emphasize that the bal-
anced scorecard is only a template and must be cus-
tomized for the specific elements of an organization.
Similar customization is necessary in using the bal-
anced scorecard in an alliance relationship. For
example, in considering the impact of relational qual-
ity in an alliance, measures would likely relate to
elements such as interpersonal trust, commitment,
co-operation, integration, internal information shar-
ing, social interactions, and the quality and quantity
of inter-organizational communications. Using these
elements in the balanced scorecard framework results
in a criterion for planning including perceived com-
mitment to the relationship. This criterion would be
applicable to all four balanced scorecard dimensions.
Co-ordination may include assessment of satisfaction
with process integration, which relates most to
internal business processes. Developing criteria
related to relational quality in the alliance is challeng-
ing but essential in customizing the balanced score-
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
Table 3 Selection of Evaluation Criteria Related to Management Control Activities
Management control Balanced scorecard dimensions*
activity
Financial Customer focus Internal business Learning and growth
process
Planning Assessment of partner Targeting of key Process definition and New ideas generated for
assets and utilization customer groups — measurable outputs extensions of the
identification of collaborative relationship
segments
Co-ordinating Contribution from co- Integration of efforts Contribution to co- Team-based measures
ordination of joint regarding alliance image ordination objectives of success focusing on
research and in terms of product or detailed by participants collaborative efforts
development or service attributes
implementation efforts
Communicating Regular issuance of Contacts with partners Number of contacts with Measures of employee
financial reports to gain information partners to discuss satisfaction with
regarding customer process improvements relationship
needs communication functions
Evaluating Depending upon life Comparisons of success Process cost and quality Employee productivity in
cycle, revenue or growth (retention and measurements terms of revenue or
by segment or cost acquisition) relative to output; number of new
reduction by segment customer profitability and suggestions for
partner contact improvement in alliance
functions
Deciding Estimated potential Market share Process time Availability of strategic
revenues versus cost of assessments by expectations versus alliance information
continuance in total customer group and results relative to employee
partner contributions needs
Implementing Measures of utilization Measures of customer Measures of Measures of staff
of alliance features satisfaction relative to improvement of process turnover and value-
compared to target alliance co-ordination since inception and added per employee
quality and yield
measurements
*Based on Kaplan and Norton (1996)
card and evaluating how well the partners are work-
ing together. Such subjective measures regarding
relational quality aid in identifying possible prob-
lems that may have an eventual impact on quantitat-
ive metrics.
Structuring selection of the evaluation criteria accord-
ing to the six management control activities helps
provide a focus on the different activities necessary
to accomplish strategic objectives. The nature of the
activities varies during the process, and the measure-
ments used to assess the effectiveness of the relation-
ship should vary as well. At different phases, meas-
ures are more relevant when tailored to the specific
dimensions. Again, use of the different measures
helps to integrate both a short- and long-term per-
spective. These types of measures are also parti-
cularly useful when the ultimate outcome of the
relationship is less tangible and thus difficult to mea-
sure.
Underestimating the importance of customizing the
balanced scorecard template is not merely ineffective
but possibly dangerous. Attempts to use the generic
template are likely to bias management decisions on
European Management Journal Vol 18 No 5 October 2000
536
the basis of the data in front of them, and short-cir-
cuit the critical development of more important per-
formance measures. Indeed, much of the benefit of
the balanced scorecard comes from the process which
surrounds its application.
Emphasizing Specific Metrics
Another benefit of the balanced scorecard approach
is the potential to tailor the system to meet the needs
of a given relationship. Interestingly, Slater et al.
(1997) suggest an ‘unbalanced’ scorecard to give
additional weight to metrics that are most relevant
given the strategy of the firm. For example, they pro-
pose more customer-oriented measures for a firm
that seeks to be a ‘brand champion’. The selection
of evaluation criteria can thus be altered for specific
relationship forms to emphasize the most relevant
metrics. This modification does not remove the orig-
inal benefit intended from the balanced scorecard
approach; the metrics are still ‘balanced’ and include
all four categories. The only difference is that the key
dimension might receive additional metrics.
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
Level of Evaluation
Most frequently, the success or failure of the alliance
is considered at the corporate level. Although this
should also be the primary unit of analysis for
assessing alliance effectiveness, it is important to con-
sider the role that managers and other groups play
in the process. Two kinds of assessments are needed:
(1) the performance of the relationship project, and
(2) the impact of the project on organizational per-
formance (both long- and short-term). Specific infor-
mation may be much more relevant and easier to act
upon when analysed at lower levels in the organiza-
tion. Evaluation from the perspective of the alliance
manager is important — such personal relationships
are critical in the co-ordination and integration neces-
sary for the alliance to operate.
Obtaining Information and Selectivity
A final caveat regarding the choice of evaluation cri-
teria involves a consideration of actually capturing
the specific metrics that are selected. The complexity
of the alliance, geographical difficulties, and systems
incompatibility can make it impossible to obtain
information for the evaluation criteria in a timely
manner. We know that information gathering is often
difficult within one organization, and gathering what
could be fairly sensitive performance information
across two or more organizations may be problem-
atic. Similarly, partners must take care to collect only
the information most relevant in the evaluation pro-
cess. Collecting and processing information incurs a
cost for all partners involved. As noted earlier, the
minimum number of evaluation metrics should be
required not only to focus the attention of those per-
forming the evaluation, but also to avoid costs in
gathering less useful information.
Integrated Application of the Evaluation
Approach
We apply the balanced scorecard framework to a glo-
bal alliance between two airlines as shown in Table
4. We assume that the rationale for the alliance from
the dominant partner’s perspective is to provide cus-
tomers with seamless access to a particular set of des-
tinations at all levels of service. Thus, the dominant
resource contribution of the partner is physical. Per-
formance risk rather than relational risk is the type
of risk perceived to be highest by both partners. Con-
sulting Table 1, this type of relationship implies that
the overall goal of the relationship is resource flexi-
bility and recurrent contracts. Facilitating these objec-
tives are the most important issues in determining
the evaluation plan. This type of relationship,
coupled with the most relevant type of risk, also sug-
gests that from a control system perspective, short-
term evaluation metrics will be important.
European Management Journal Vol 18 No 5 October 2000 537
Our earlier discussion of Table 3 details evaluation
implications that may be relevant given the specific
form of the relationship. For this example, we assume
that the strategic alliance is formed as a contractual
alliance. Thus, specific details of physical resource
contributions and collaborative efforts should be
established. In the case of an airline alliance,
responsibilities regarding staffing of reservations and
problem resolution, in-flight services, maintenance
and ground services, and record-keeping should all
receive individual attention. It is important to avoid
duplication of effort while ensuring that customers
of both partners are receiving their customary level
of service. Some evidence does exist that airline
alliances are not taking full advantage of the benefits
available from shared resources, and the balanced
scorecard framework might compel the partners to
consider these benefits. The alliances typically focus
on joint marketing efforts, and The Economist (1999b)
estimates that only 15 per cent of alliances attempt
to cut costs by sharing catering, training, or mainte-
nance functions.
Table 4 incorporates these evaluation implications to
create a set of criteria for the global airline alliance. It
is important to remember that both entities function
separately, and we are concentrating only on the
activities where there is an interface between the two
airlines. We are not primarily concerned with evalu-
ation metrics that apply to the entire airline. Instead,
we focus on situations where customers of one airline
take advantage of the other airline’s services. The first
difficulty in the evaluation process is created by the
need to segregate performance metrics relative to this
group. In some cases, the measures are unique to the
collaboration. In others, there are comparisons to
total performance of the airline.
Consider, for example, the balanced scorecard
dimensions related to planning activities shown in
Table 4. From a financial perspective, profitability by
route and route coverage of destinations in the
alliance network are relevant criteria. Similarly, cus-
tomer focus, internal business process, and learning
and growth evaluation criteria are indicated.
Examples of criteria for the other management con-
trol activities are provided for each scorecard dimen-
sion.
Implementing the Evaluation Plan
The final step in the evaluation process is to
implement the evaluation plan. Formalized, regular
assessment is essential for those involved in the
alliance to attach credibility to the process and to
learn from the results. The frequency of the formal-
ised assessment should be determined to give the
participants an awareness of the process and allow
for them to plan for information collection. Measures
must be put in place to assure that the results of the
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
Table 4 Selection of Evaluation Criteria For a Global Airline Alliance
Management control Balanced Scorecard Dimensions
activity
Financial Customer focus Internal business Learning and growth
process
Planning Profitability by route and Identification of potential Identification of Number of new ideas
coverage of destinations alliance customer groups responsibility by partner generated for extensions
in network not served by existing for shared services of the collaboration by
single airline routes employees
Co-ordinating Estimated potential Usage of airline lounges Savings from shared Percentage increase in
operating income from by collaborative partner services by activity: market share of
joined route network by customers ticketing, maintenance, collaborative routes
specific destination catering, baggage, etc.
Communicating Creation of detailed Estimates of potential Number of process Survey employee
financial reports by increase in load factors improvements initiated satisfaction regarding
segment for passengers due to customers from by partners relative to information generated in
utilizing alliance network partner the collaboration and in utilization of the alliance
general
Evaluating Revenue per seat mile Repeat and new Provision of comparable Employee productivity
from collaboration (and passenger miles by service/attributes on per function (by seat
by customer type) customer type and by both airlines for mile) for collaborative
relative to total potential airline route segment customers on routes compared to
revenue per seat mile collaborative routes total, and by general
for the airline by compared to total service activity
customer type customers (reservations, ticketing,
etc.)
Deciding Operating profit per seat Total market share on On-time performance of Availability of information
mile from collaboration collaborative routes for collaborative routes on demand by specific
relative to total actual both partners relative to compared to industry type and segment for
operating profit per seat all competitors and baseline targets collaborative routes and
mile in total for each partner
Implementing Percentage contribution Customer complaints Improvement in on-time Staff turnover related to
of collaboration load from collaborative routes performance and alliance arrangement
factor relative to total relative to total reduction of complaints compared to total
available complaints for collaborative routes turnover
evaluation are communicated and that relevant feed-
back is generated. The evaluation process will also
need to be refined throughout the life cycle of the
alliance to assure that timely information is being col-
lected. The final link in the evaluation process is to
consider how the output of the evaluation will be
used to determine individual and team performance
and rewards.
Kaplan and Norton (1996) advocate that the
implementation of the balanced scorecard become a
critical component of feedback in the strategic learn-
ing process. There is an interlinked process of four
steps facilitated by the balanced scorecard (Kaplan
and Norton, 1996, p. 253): (1) clarifying and translat-
ing the vision and strategy; (2) communicating and
linking; (3) planning and target setting; and (4) stra-
tegic feedback and learning. These four steps act as
a continuous loop to facilitate learning. These four
steps are embedded in the following implemen-
tation issues.
European Management Journal Vol 18 No 5 October 2000
538
Frequency of Assessment
While the feedback from the performance indicators
may be regular, e.g. on a monthly basis, the life cycle
of an alliance has become increasingly important in
managing customer and product relationships and
can be even more critical for evaluating alliance
relationships. Thus, assessment frequency should
consider the evaluation metrics, as well as the
environment in general. Not only does the alliance
network undergo significant change from inception
to completion or abandonment, but also the length
of this process can be extremely long. It is important
to understand that relationships with competitors,
customers, and suppliers change throughout the life
cycle. Thus, from an evaluation perspective, assess-
ment must be scheduled to help facilitate a relevant
consideration of opportunities and threats through-
out the life cycle.
ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
Communication and Feedback
Communicating results and providing constructive
feedback are vital elements in the management con-
trol process. This is the means by which the manage-
ment control system not only implements strategy,
but uses the process to actually refine and develop
future strategy. This step must be formally incorpor-
ated into the evaluation process for the alliance. Since
lines of communication will comprise a hybrid net-
work for the alliance relationship, it is even more
important to assure that results of the evaluation are
communicated to all partners at all relevant levels in
the organization. This may be particularly difficult
for sensitive or negative information regarding per-
formance.
Refinement
If the evaluation process remains static, then its
potential to affect a positive outcome for the alliance
is limited. Environmental, personnel, and strategic
changes will often lead to dramatic changes in the
type of information that is collected to evaluate
alliance effectiveness. Learning over time will enable
managers to refine the process. Priorities among the
various evaluation criteria may change as well. In
addition to communicating the results of the evalu-
ation process, it is essential to assess on a regular
basis whether the items used in the evaluation are
appropriate.
Link to Evaluation and Compensation
The type of information that upper management
monitors provides a signal to subordinates as to what
actions are important. To emphasize this relationship,
managers are often evaluated based upon measures
linked to these actions. However, it may be difficult
to select measures of performance that directly relate
to actions important in achieving corporate objec-
tives. This can be even more problematic in alliance
relationships where the outcome is less tangible and
takes longer to achieve. The evaluation plan can pro-
vide a basis from which to select performance meas-
ures. Not only are the evaluation criteria readily
apparent, but these measures are more likely to relate
to objectives of the alliance. However, Kaplan and
Norton (1996) caution linking elements in the bal-
anced scorecard to specific performance evaluation
measures for managers until an organization
becomes more experienced in using the balanced sco-
recard. This caution is perhaps even more critical
when using the balanced scorecard to evaluate the
performance of alliances.
Implications and Conclusion
Our objective is to develop a process to evaluate the
performance of strategic relationships among organi-
European Management Journal Vol 18 No 5 October 2000 539
zations. The evaluation process, including applicable
metrics, is critical in the assessment of performance.
We provide a set of evaluation criteria incorporating
the management control system framework in which
the strategic relationship operates. The specific cri-
teria are tailored to the balanced scorecard approach
including measures over four dimensions: financial,
customer, internal business processes, and learning
and growth. The evaluation criteria can also be
adjusted according to unique elements particular to
strategic relationships, the form of the relationship
and the rationale for the relationship.
We have designed a generic template to serve as a
basis for preparing a customized means of assessing
performance. For the evaluation measures to be suc-
cessful, they must be tailored to the individual
characteristics of the strategic relationship and the
partners. To aid in this customization, we emphasize
the management control system process, which
focuses on the implementation of a strategy. This
process involves elements common to all types of
relationships.
As with any set of measures, financial or non-finan-
cial, a degree of caution must be exercised. Once spe-
cific measures are implemented for evaluation, per-
formance expectations are now established for the
individual strategic relationship participants. Meas-
ures must be selected to generate the appropriate
behaviours from the participants. Fortunately, one of
the key benefits of the balanced scorecard framework
is that the measures are balanced and related, and
there is less likelihood of dysfunctional behaviour
designed to meet singular objectives.
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ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES
KAREN S. CRAVENS, NIGEL PIERCY, Cardiff
School of Accounting, 600 University Business School,
S. College Avenue, Univer- Colum Drive, Cardiff CF10
sity of Tulsa, Tulsa, OK 3EU, UK. E-mail: piercy@-
74104-3189, USA. E-mail: cardiff.ac.uk
karen-cravens@tulsa.edu
Nigel Piercy is the Sir Julian
Karen Cravens is the Arthur Hodge Chair in Marketing
Andersen Faculty Fellow and Strategy at Cardiff
and Associate Professor of Business School, part of
Accounting at the Univer- Cardiff University. He has
sity of Tulsa. She holds a worked in business planning
Ph.D. from Texas A&M University, and her main in industry and is an active consultant with many
research focus is on management control systems and organizations in the fields of market strategy planning
control system elements in an international setting. and implementation. He has contributed more than 200
Recent publications include Journal of International articles to the management literature and nine books.
Business Studies, Business Horizons, Journal of His most recent book is: Tales From the Marketplace:
Strategic Marketing, and Advances in Manage- Stories of Revolution, Reinvention and Renewal
ment Accounting. She previously worked as a licensed (Oxford: Butterworth-Heinemann).
Certified Public Accountant for Deloitte Haskins &
Sells (now Deloitte Touche).
DAVID CRAVENS, M.J.
Neeley School of Business,
Texas Christian University,
TCU Box 298530, Fort
Worth, TX 76129, USA. E-
mail: d.cravens@tcu.edu
David Cravens holds the
Eunice and James L. West
Chair of American
Enterprise Studies at Texas
Christian University. Pre-
viously, he was the Alcoa Foundation Professor at the
University of Tennessee, where he chaired the Depart-
ment of Marketing and Transportation and the Man-
agement Science Program. Dave is internationally
recognized for his research on marketing strategy and
sales management; he has contributed over 100 articles,
monographs, books, and proceedings papers. His most
recent textbook is, Strategic Marketing
(Irwin/McGraw Hill, 2000).
European Management Journal Vol 18 No 5 October 2000 541

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Matching metrics to alliance strategies

  • 1. European Management Journal Vol. 18, No. 5, pp. 529–541, 2000  2000 Elsevier Science Ltd. All rights reserved Pergamon Printed in Great Britain 0263-2373/00 $20.00 PII: S0263-2373(00)00042-6 Assessing the Performance of Strategic Alliances: Matching Metrics to Strategies KAREN CRAVENS, University of Tulsa, USA NIGEL PIERCY, University of Cardiff Business School, UK DAVID CRAVENS, Texas Christian University, USA For many organizations, the current business environment compels the use of collaborative alliances as an important component of strategy. Consequently, the need to assess the performance of these alliances becomes a priority as more and more companies enter into such relationships. Analysis of alliance success during the last decade indicates that performance evaluation is a critical success factor, and the reality is that many compa- nies do not develop and implement formal per- formance evaluation processes. It is often difficult to create a formal evaluation process due to the unique nature of the alliance structure. We propose the use of the balanced scorecard as a means to develop a formal assessment approach that links performance evaluation to the objective of the alliance. The result is a generic template that can be adapted to the specific alliance evaluation requirements of a particular organization.  2000 Elsevier Science Ltd. All rights reserved Keywords: Strategic Alliances, Balanced Scorecard, Performance Evaluation It is apparent that strategic alliances, supplier and manufacturer partnering, value chain relationships, joint ventures, and other forms of collaboration between previously independent organizations have escalated in importance during the 1990s. These organizational initiatives have attracted extensive attention by scholars and executives in their efforts to European Management Journal Vol 18 No 5 October 2000 529 analyse and evaluate alliance strategies (Gulati, 1999; Gulati and Singh, 1998; Sivadas and Dwyer, 2000). Indeed, estimates from The Economist (1999a) sug- gest that more than 20,000 inter-organizational alliances were formed in the period between 1996 and 1998 alone. Alliances are formed for a variety of reasons (Bleeke and Ernst, 1991; Khanna et al., 1998; Prahalad and Hamel, 1990; Powell, 1987), including an increased focus on the use of an alliance as a strategic device (Kale et al., 2000). Various forms of partnering have become important components of strategy for many companies, reflecting the compelling logic of collab- oration. Similarly, research regarding alliances has shifted from consideration of conditions favourable to alliance formation to evaluating the outcome of alliances and the effects on partners (Dussauge et al., 2000), and the selection of particular partners (Chung et al., 2000). Business Week (1999) reports an estimate by the influ- ential Andersen Consulting company that it is typical for an average large corporation to have more than 30 alliances in operation, compared to none a decade ago. Andersen Consulting predicts that by 2005 glo- bal alliances will total $(US)25 trillion to $(US)40 tril- lion in value. The underlying logic of such strategies is that combining the distinctive capabilities of two or more companies enables each participant to obtain greater productivity from its skills and resources,
  • 2. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES while at the same time sharing external risks and uncertainties with partners. Yet, there is a significant element of internal risk involved in agreeing to form an alliance with a partner or partners. Research is also beginning to explore the interaction between potential gains from the alliance as compared to increased risk of opportunistic behaviour by a part- ner (Kale et al., 2000). An illustration of the current alliance environment is provided by the strategic initiatives for international partnering pursued by air carriers. The trade source Airline Business indicates that by the spring of 1998 the total number of alliances in the industry had reached 500 (The Economist, 1999a), The strategic logic is that a global alliance, such as OneWorld with American Airlines and British Airways at its core, can expand global coverage through the formation of alliances with other airlines serving different geo- graphical regions, more effectively than could other- wise be achieved. Indeed, many of the innovative business models cre- ated by new-style competitors rely on effective alliance building and management. Researchers are beginning to explore the manner in which firms develop ways of managing alliances in terms of learning effects (Anand and Khanna, 2000). Dell Computer’s direct business model rests on ‘virtual integration’ with suppliers and customers based on information exchange and learning. Dell’s model attempts to turn conventional buyer – seller relation- ships into collaborations. Amazon.com’s exploitation of its unique Internet business model relies on suc- cess in building a network of ‘associates’, whose web pages carry links to Amazon, and partners whose products and services Amazon can market in turn to its customer communities. Furthermore, lean supply chain programmes, like Efficient Consumer Response, which has revolutionized the grocery business, are built on horizontal and vertical alliances and collab- oration between companies replacing traditional competitive relationships. The influence of these new business models underlines the urgency of recon- sidering the management approaches most effective in this new reality. In recent years considerable attention has been devoted to determining the advantages and limi- tations of strategic partnerships, for example in terms of the selection of suitable partners, and the develop- ment of collaboration plans. However, it should be noted that recent estimates suggest that two-thirds of the inter-organizational strategic alliances formed between 1992–1995 were dissolved (The Economist, 1999b) Indeed, the high failure rate of strategic alliances has placed major emphasis on developing robust alliance formation guidelines and processes, as well as attempting to identify what types of firms form effective alliances and the underlying rationale. However, it is surprising that far less attention has European Management Journal Vol 18 No 5 October 2000 530 been focused on assessing the performance of stra- tegic relationships. According to Andersen Con- sulting, a major reason for the high failure rate of alliances is that only 31 per cent have developed and implemented formal performance measures, and only one in five executives considers the measures that have been implemented to be reliable indicators of alliance success (Business Week, 1999). The lack of reliable performance indicators is probably associa- ted with the lack of general consensus regarding the requirements for a successful alliance, and major dis- agreement on appropriate measures to assess per- formance. Compounding the problem is that strategic alliance relationships require organizations to place more emphasis on relatively unfamiliar subjective criteria, and measures such as trust, commitment, and other intangibles. It is this aspect of the assess- ment process that is perhaps even more crucial in increasing the likelihood for a positive outcome for all of the partners in a strategic alliance strategy. Responding to these important concerns, we present and illustrate a process for designing an evaluation plan to assess the performance of strategic alliance. First, we outline the process of developing an evalu- ation plan. Next, we examine the design of a manage- ment control system necessary for the selection of evaluation criteria. Finally, we describe the use of the balanced scorecard framework as a promising evalu- ation method, including guidelines for implementing the evaluation plan. Developing an Evaluation Plan The failure to adopt a formal process to assess alliance performance is a potential hurdle for many companies in managing these complex relationships. Our logic is that it is essential to create a formalized plan for evaluating the performance of a relationship with a single partner or multiple partners. Figure 1 outlines the sequence of actions for establishing such a plan. Developing the evaluation plan begins with assessing the rationale or strategic objective for the relationship. Rationale for the Relationship A strategic intent by partner companies establishes the need for a relationship. For example, an alliance may be sought to fill a crucial gap in skills or to obtain access to resources, or the relationship may seek to provide opportunities in the form of sharing the risk of a new venture. The goal may be entry to new markets where local barriers exist. A successful example of overcoming barriers is the long-standing relationship between Corning, the US glass manufac- turer, and Samsung, the South Korean electronics company. This relationship started with a single plant making television tubes in South Korea and has
  • 3. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES Figure 1 Developing an Alliance Evaluation Plan grown into a wide-ranging agreement covering much of east Asia. Regardless of the initial motivation for creating a relationship, it is the strategic intent for the future that will eventually provide a basis from which to evaluate the performance of the relation- ship. For example, the intent of alliances of State- owned and independent organizations in developing countries like China is, in part, to gain learning opportunities, such as partnering with Boeing in air- craft production. The nature of the objectives will drive the type of partners sought, the manner in European Management Journal Vol 18 No 5 October 2000 531 which the relationship operates, and thus the type of evaluation metrics selected for evaluation. However, it is important to remember that the ration- ale for the relationship may evolve, indicating the need for similar evolution of performance appraisal. The benefits sought from the relationship may change in priority during the lifetime of the alliance, and benefits unforeseen at the outset may become important. Resource and Risk Relationships In forming an alliance, firms will seek partners to fill gaps in skills or resources or to add to their own dis- tinctive capabilities. Consequently, both of these stra- tegies create risks depending upon the type of resources sought. Das and Teng (1998) characterize the types of resources that the partners bring to the relationship as financial, managerial, physical, and technical. In conjunction with these resources, two types of risk are possible: relational and performance risk. Performance risk is possible with any strategy, while relational risk exists only with collaborative relationships. Relational risk is the risk of opportun- istic behaviour of one of the partners having a nega- tive impact on the other partner(s). Given an environment of differential resources among the partners, various types of total risk will result. Consequently, the relationship must be man- aged to maximize available resources and to minim- ize risks. Means of evaluating the relationship must be tailored to the resources provided in the relation- ship and the degree of relational and performance risks assumed. Particular elements will be more criti- cal to partners with various combinations of resources and risk and will have implications for the selection of evaluation mechanisms. Evaluation Implications of Strategic Intent Table 1 illustrates the elements that may affect evalu- ation of the relationship in conjunction with different types of resources and risks assumed. The first col- umn of Table 1 identifies the four major forms of dominant resource contributions that a partner can make to a relationship. The focus on resources pro- vides some insight as to the concerns of the partner relative to the risk relationship with each partner. We enhance Das and Teng’s (1998) framework by trans- lating the concerns relative to risk to specific elements that may appear in the control system struc- ture. For example, partners contributing financial resources when they perceive the relational risk to be high are likely to exhibit a lower level of trust toward their partner. This lack of trust results in a desire to achieve control over the decision-making process. Thus, the partner contributing financial resources often seeks an equity interest in the other partner. From a control system perspective, a hierarchical approval structure might be implemented. In the same resource situation coupled with higher
  • 4. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES Table 1 Evaluation Implications of Strategic Intent in Relationship Formation* Dominant resource Type of risk perceived Evaluation implications Control system components contribution of partner as high Financial Relational Lack of trust by investing partner Hierarchical approval structure creates preference for control over decision-making which often manifests in equity ownership Performance Profitability concerns creates a desire Short-term evaluation metrics for explicit exit provisions in the Financially-oriented metrics contract Managerial Relational Lack of trust between partners The dominant partner seeks to compels tighter control mechanisms; place its managers in key positions hierarchical structure of authority of authority Performance Higher levels of trust between Co-ordination among partners is partners; focus on improving critical managerial efficiency Top managers selected by all partners for extended periods to encourage co-ordination and interaction Physical Relational Stability is the goal of the relationship Tight controls to limit opportunistic among partners; Incentive to link behaviour partners to the alliance in a long-term Formalized networks for transfers manner; Propensity for shared equity ownership Performance Much lower incidence of this type of Short-term evaluation metrics risk; overall goal is resource flexibility and recurrent contracts Technological Relational Preference for controls over Lack of free flow of information and information from proprietary processes communication; formal communication mechanisms Performance Preference for licensing technology to Short-term evaluation metrics multiple partners Financially-oriented metrics *Based on Das and Teng (1998) performance risk, the partner contributing the finan- cial resources may desire explicit exit provisions to escape more easily from the relationship if it is not profitable. This could create a preference for short- term evaluation metrics and metrics that are financi- ally oriented in general to provide information about the profitability of the relationship. Examples of met- rics include market share, expense-to-budget ratio, and profit contribution. The three additional types of dominant resources depicted in Table 1, managerial, physical, and tech- nological, create various implications for evaluation according to the perception of the degree of relational versus performance risk. Control system components will differ according to the desires of the partner in terms of minimizing the dominant type of risk. For example, relational risk concerning technological resources is particularly relevant in the case of the General Electric/Pratt & Whitney alliance. This alliance was formed in response to the tremendous development costs and market risks in developing a new engine for the Airbus super-jumbo commercial jet. In other ventures General Electric Engines and Pratt & Whitney are direct competitors. Controls over information from proprietary processes are thus high priority issues for both partners. European Management Journal Vol 18 No 5 October 2000 532 Form of the Relationship Articulating the rationale for the relationship pro- vides necessary guidelines for determining the form of the relationship. The form is particularly critical as various components in the governance structure will assume different priorities. The three primary forms of relationships are contractual alliances, joint ven- tures, and some level of minority equity ownership. The form of the relationship thus influences the types of hierarchical controls enacted. Gulati and Singh (1998) detail the elements of hierarchical control in the governance of strategic alliance relationships as: (1) a command structure, including authoritarian communications; (2) incentive systems with corre- sponding rewards and punishments; (3) standard operating procedures to facilitate decision-making; (4) procedures to resolve disputes; and (5) non-mar- ket pricing systems. The relative importance of these elements will vary in an alliance according to the anticipated co-ordination costs and interdependence of the alliance. All of these elements are imbedded in the nature of the management control system of the relationship. Strategic relationships may be domestic or inter- national in scope, include partners in the same indus-
  • 5. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES try or other industries, and may involve collaboration on technology, product development, manufactur- ing, marketing, or finance. The management control system for the relationship requires a clear definition of the scope of the project and how the partners are linked together. For example, an alliance to co-brand a line of breakfast cereals between two organizations such as Healthy Choice and Kellogg may only require agreeing to place the Healthy Choice name on certain types of cereal produced by Kellogg, assigning the marketing responsibilities of each part- ner, and determining how expenses and profits will be shared. In contrast, a global airline alliance like OneWorld requires a complex network of marketing, finance, and operations functions. Table 2 provides several illustrative implications for evaluation when considering the form of the relation- ship in conjunction with the dominant resource con- tributed. Evaluation implications differ across the four types of resource contributions and three forms of relationships. For example, financial contributions can be more clearly defined compared to technologi- cal resources. Safeguarding resources becomes very important when technological resources are involved. Several other illustrative implications are noted. Calyx and Corolla (C&C) functions as a centralized florist with a network of contractual relationships with flower growers in the US. This entrepreneur markets fresh flowers by mail order, delivering them by Federal Express to the customer’s home or office. C&C designs the flower arrangements that appear in its catalogue and website and provides attractive Table 2 Implications of Relationship Form Resource contribution Form of the relationship Illustrative evaluation implications or rationale Financial Contractual alliances Need for accountability, particularly with informal relationships. Joint ventures Easier to base incentive system on financial measures, since the venture becomes a separate organization. Minority equity ownership Financial measures monitored more closely Managerial Contractual alliances Establish responsibility for performance evaluation due to difficulty in integration and co-ordination Joint ventures Incentives can relate to qualitative measures; easier to monitor due to separate entity Minority equity ownership More difficult to build consensus; encourage more flow of information Physical Contractual alliances Important to clearly define partners’ physical resource contributions and how they are combined Joint ventures Less concern over safeguarding assets and contributions to the partnership Minority equity ownership Contribution should be easily identified Technological Contractual alliances Safeguarding resources is a priority; difficult to monitor contributions of partners Joint ventures Must align incentives to deal with inequality between managers of the partners and with managers of the parent firms Minority equity ownership May be used as an incentive to encourage majority partner European Management Journal Vol 18 No 5 October 2000 533 packaging materials with the C&C logo to the flower growers who assemble the flower arrangements. In this contractual alliance, the growers are contributing physical resources, and issues such as safeguarding technology or creating trust among partners are not relevant. In terms of evaluation implications, Table 2 notes that it is most important to clearly define the physical resource contributions of the growers and how these resources are combined with other elements of the process. Thus, evaluation metrics would focus on the ability of the growers to assemble and ship the flowers on a timely basis and in the manner ordered. Since C&C has a very small core staff, it can adapt very rapidly to changing market and customer requirements but is highly dependent upon the actions of the growers who interact directly with the customers. The evaluation system would need to monitor the extent to which the growers can respond to customer orders once they receive the request from C&C and if the orders are provided for shipment correctly and quickly. C&C also relies on standardization of the product since the customer is ordering based upon expectations from looking at the catalogue or website. Metrics might include this fac- tor as well. Core managerial resources and financial responsibility are provided by C&C and are not rel- evant to the relationship with the growers. It is also important to recognize that networks of alliance relationships evolving over time can make the relationship form complex and provide the chal- lenge of evaluating multiple alliances for a single company organized under different management structures. Johnson Matthey (JM) is a global specialist in precious metals, catalysts, and electronic materials.
  • 6. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES JM’s alliance with a circuit board manufacturer, Details Inc. in California, is built largely on the infor- mal personal relationship between the presidents of the companies. More formal is JM’s relationship with Japan’s ceramic chip producer Kyocera, which is handled by an executive management committee. At still a higher level of formality is the alliance with Mitsubishi, where a full infrastructure has been cre- ated for the venture with the CEO from JM and the workforce seconded from Mitsubishi. In addition, some JM alliances, such as that with the Canadian Ballard Power Systems fuel cell producer, serve a specific technological purpose and are then re- thought or dissolved to reflect new circumstances (Lester, 1998, p. 25). Strategic Objectives The strategic objectives of the relationship are con- sidered as the next step of the evaluation process, because they provide a critical part of the foundation on which the management control system for the relationship is built. The underlying logic is that the strategy of the relationship yields strategic objectives, while the management control system provides the mechanism for implementing the strategy of the relationship. The elements of the control system pro- vide management with the means to assess the per- formance of the relationship in terms of achieving the strategic objectives. The primary benefit of recogniz- ing the control system structure in this way is that it is relevant for implementing the strategy. This approach also underlines the fact that if the strategy or strategic intent of the relationship changes, then the control system must be adapted and redeveloped to respond to this change. Our logic is that the evaluation criteria for assessing the performance of the entire relationship should be developed according to the relative importance of the various strategic objectives established by managers. However, it follows that as strategic objectives are modified during the lifetime of the alliance, to remain effective the evaluation criteria must be adapted as well. The importance of this process of evolution and adaptation of evaluation criteria in line with chang- ing strategic objectives is highlighted by the fact that the control system also includes such elements as the performance evaluation and reward system for the individual managers involved in implementing the strategy. The dangers inherent in appraising and rewarding managers on the basis of outdated criteria is clear. Design of the Management Control System Management’s rationale for the strategic relationship, decisions concerning the form of relationship, and European Management Journal Vol 18 No 5 October 2000 534 the strategic objectives set key guidelines for design- ing the management control system (see Figure 1). The control system is ‘the process by which managers influence other members of the organization to implement the organization’s strategies’ (Anthony and Govindarajan, 1998, p. 6). It is ultimately the elements of the control system that determine the execution and success of a corporation’s strategy. For example, the strategy may be formulated to achieve competitive advantage, but if the execution of the strategy is flawed, this objective may not be achieved. Emphasis on the control system structure allows the partners to assess what controls are necessary rela- tive to the strategy for the relationship, independent from their own separate control systems. The relationship partners must determine the nature of controls in terms of flexibility and structure. Will the controls be formal or informal, and will the organiza- tion function in a flexible or hierarchical manner? These controls then form the basis of the evaluation system and the type of metrics that are collected. The management control system for any type of inter-organizational relationship can be characterized as somewhat of a hybrid. Each of the partners in a relationship will have an existing management con- trol system in place to implement its own inde- pendent strategies. A unique management control system is created for the relationship that exists among the partners. This hybrid system will function in tandem with the partners’ separate control sys- tems, but will be oriented exclusively towards implementing the strategy for the relationship. Thus, this new system may be biased by the elements of the partners’ separate control systems. The challenge arises in defining specific elements of the alliance control system that truly are tailored to the relation- ship and are not merely repetitive of existing con- trol systems. For example, consider the alliance between Hewlett- Packard and Matsushita Electronics for the develop- ment of H-P’s fax machine. Matsushita contributed the fax technology, while H-P incorporated Inkjet printer technology. Both of these technologies existed before the introduction of the new fax machine. How- ever, it was the combination of these two partners that resulted in the creation of the new product. Existing control systems for each partner may have relied on different metrics than would be relevant for the new product creation. Activities involving the responsibility for developing the new product con- cept testing are relevant to the control system of the alliance and may not have been in place separately for the partners. For example, the alliance control process must take into account the shared product design and manufacturing responsibilities.
  • 7. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES Selection of Evaluation Criteria One of the key features in alliance success is the pres- ence of constant evaluation and monitoring of the alliance (Segil, 1998). Without a specific set of evalu- ation criteria tailored to the objectives of the relation- ship, it is not possible to provide information regard- ing the success of the relationship. This information is crucial so as to adjust strategy and the operational mechanisms of the relationship. If a management control system for the relationship is in effect, then the evaluation criteria should be a product of these controls. Thus, a separate control system must be cre- ated for the alliance to determine evaluation criteria that may be independent of the partners’ existing control systems. The Balanced Scorecard Framework One way to formalize this process is to employ the balanced scorecard developed by Kaplan and Norton (1996). The balanced scorecard system illustrates how the strategy of a firm can be translated into perform- ance measures based upon four perspectives: finan- cial, customer, internal business process, and learn- ing and growth. These four perspectives provide the balance necessary for a company to focus on issues that are indicative of longer-term success, rather than concentrating on short-term financial measures. This framework is particularly relevant in our present context, since the strategy selected for the alliance drives the development of the balanced scorecard. Similarly, since financial measures may not be suf- ficient to reflect the true performance of the relation- ship in either the short- or long-term, the balanced scorecard framework forces managers to consider other measures of performance. However, it is worth noting that the effectiveness of balanced scorecard approaches relies on the existence of ultimate accountability — a manager or group exercising lead- ership in the alliance — since effective performance appraisal metrics must be linked to internal struc- tures and processes, as well as alliance objectives. Kaplan and Norton (1996, pp. 173–5) describe how the balanced scorecard can be applied to the joint venture form of an alliance between several oil-field services companies. They assert that the balanced scorecard can help integrate the goals of these inde- pendent organizations. The joint venture developed strategic measures that were based on the goal of improving productivity in terms of reducing the entire life cycle cost for a barrel of oil. Operationally the measures defined how the separate entities would work together to achieve this goal. In addition to traditional financial measures such as return-on- capital, cash flow and revenue growth, the joint ven- ture included a new measure — percentage of total business that involved multiple operating companies within the joint venture. The customer measure was European Management Journal Vol 18 No 5 October 2000 535 reduction in cost per barrel of the oil at the wellhead. Internal business process measures followed from the customer perspective and were focused on entities working together: cost reductions identified by work- ing together in cross-business teams, and sales vol- ume from new service capabilities from working together. Finally, the learning and growth measures considered the extent of teamwork relationships, enhancing cross-functional skills, and aligning incen- tives that related to integration. Using the control structure described in earlier sec- tions, Table 3 identifies control elements which sug- gest specific evaluation criteria that may be dominant in a variety of situations. The balanced scorecard allows us to propose an initial generic evaluation framework without knowledge of the specific stra- tegic objectives of the relationship. However, while this framework provides a valuable template, the need for customization is paramount. Without this customization the balanced scorecard is unlikely to be effective as an alliance evaluation mechanism. Ultimately, the strategic objectives will determine the evaluation criteria. Similarly, the resources provided by the partners and the form of the relationship will also influence the specific evaluation criteria. We provide Table 3 as a means to evaluate alliance relationships in terms of the balanced scorecard framework. A focus on this perspective in conjunc- tion with the various management control system activities is one way to insure that all relevant areas are considered in evaluating the effectiveness of a relationship in terms of the strategy of the relation- ship. This format is applicable regardless of the rationale for collaboration, the nature of the relation- ship structure, the stage of the relationship, and the specific strategic objectives. The Need for Customization Kaplan and Norton (1996) emphasize that the bal- anced scorecard is only a template and must be cus- tomized for the specific elements of an organization. Similar customization is necessary in using the bal- anced scorecard in an alliance relationship. For example, in considering the impact of relational qual- ity in an alliance, measures would likely relate to elements such as interpersonal trust, commitment, co-operation, integration, internal information shar- ing, social interactions, and the quality and quantity of inter-organizational communications. Using these elements in the balanced scorecard framework results in a criterion for planning including perceived com- mitment to the relationship. This criterion would be applicable to all four balanced scorecard dimensions. Co-ordination may include assessment of satisfaction with process integration, which relates most to internal business processes. Developing criteria related to relational quality in the alliance is challeng- ing but essential in customizing the balanced score-
  • 8. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES Table 3 Selection of Evaluation Criteria Related to Management Control Activities Management control Balanced scorecard dimensions* activity Financial Customer focus Internal business Learning and growth process Planning Assessment of partner Targeting of key Process definition and New ideas generated for assets and utilization customer groups — measurable outputs extensions of the identification of collaborative relationship segments Co-ordinating Contribution from co- Integration of efforts Contribution to co- Team-based measures ordination of joint regarding alliance image ordination objectives of success focusing on research and in terms of product or detailed by participants collaborative efforts development or service attributes implementation efforts Communicating Regular issuance of Contacts with partners Number of contacts with Measures of employee financial reports to gain information partners to discuss satisfaction with regarding customer process improvements relationship needs communication functions Evaluating Depending upon life Comparisons of success Process cost and quality Employee productivity in cycle, revenue or growth (retention and measurements terms of revenue or by segment or cost acquisition) relative to output; number of new reduction by segment customer profitability and suggestions for partner contact improvement in alliance functions Deciding Estimated potential Market share Process time Availability of strategic revenues versus cost of assessments by expectations versus alliance information continuance in total customer group and results relative to employee partner contributions needs Implementing Measures of utilization Measures of customer Measures of Measures of staff of alliance features satisfaction relative to improvement of process turnover and value- compared to target alliance co-ordination since inception and added per employee quality and yield measurements *Based on Kaplan and Norton (1996) card and evaluating how well the partners are work- ing together. Such subjective measures regarding relational quality aid in identifying possible prob- lems that may have an eventual impact on quantitat- ive metrics. Structuring selection of the evaluation criteria accord- ing to the six management control activities helps provide a focus on the different activities necessary to accomplish strategic objectives. The nature of the activities varies during the process, and the measure- ments used to assess the effectiveness of the relation- ship should vary as well. At different phases, meas- ures are more relevant when tailored to the specific dimensions. Again, use of the different measures helps to integrate both a short- and long-term per- spective. These types of measures are also parti- cularly useful when the ultimate outcome of the relationship is less tangible and thus difficult to mea- sure. Underestimating the importance of customizing the balanced scorecard template is not merely ineffective but possibly dangerous. Attempts to use the generic template are likely to bias management decisions on European Management Journal Vol 18 No 5 October 2000 536 the basis of the data in front of them, and short-cir- cuit the critical development of more important per- formance measures. Indeed, much of the benefit of the balanced scorecard comes from the process which surrounds its application. Emphasizing Specific Metrics Another benefit of the balanced scorecard approach is the potential to tailor the system to meet the needs of a given relationship. Interestingly, Slater et al. (1997) suggest an ‘unbalanced’ scorecard to give additional weight to metrics that are most relevant given the strategy of the firm. For example, they pro- pose more customer-oriented measures for a firm that seeks to be a ‘brand champion’. The selection of evaluation criteria can thus be altered for specific relationship forms to emphasize the most relevant metrics. This modification does not remove the orig- inal benefit intended from the balanced scorecard approach; the metrics are still ‘balanced’ and include all four categories. The only difference is that the key dimension might receive additional metrics.
  • 9. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES Level of Evaluation Most frequently, the success or failure of the alliance is considered at the corporate level. Although this should also be the primary unit of analysis for assessing alliance effectiveness, it is important to con- sider the role that managers and other groups play in the process. Two kinds of assessments are needed: (1) the performance of the relationship project, and (2) the impact of the project on organizational per- formance (both long- and short-term). Specific infor- mation may be much more relevant and easier to act upon when analysed at lower levels in the organiza- tion. Evaluation from the perspective of the alliance manager is important — such personal relationships are critical in the co-ordination and integration neces- sary for the alliance to operate. Obtaining Information and Selectivity A final caveat regarding the choice of evaluation cri- teria involves a consideration of actually capturing the specific metrics that are selected. The complexity of the alliance, geographical difficulties, and systems incompatibility can make it impossible to obtain information for the evaluation criteria in a timely manner. We know that information gathering is often difficult within one organization, and gathering what could be fairly sensitive performance information across two or more organizations may be problem- atic. Similarly, partners must take care to collect only the information most relevant in the evaluation pro- cess. Collecting and processing information incurs a cost for all partners involved. As noted earlier, the minimum number of evaluation metrics should be required not only to focus the attention of those per- forming the evaluation, but also to avoid costs in gathering less useful information. Integrated Application of the Evaluation Approach We apply the balanced scorecard framework to a glo- bal alliance between two airlines as shown in Table 4. We assume that the rationale for the alliance from the dominant partner’s perspective is to provide cus- tomers with seamless access to a particular set of des- tinations at all levels of service. Thus, the dominant resource contribution of the partner is physical. Per- formance risk rather than relational risk is the type of risk perceived to be highest by both partners. Con- sulting Table 1, this type of relationship implies that the overall goal of the relationship is resource flexi- bility and recurrent contracts. Facilitating these objec- tives are the most important issues in determining the evaluation plan. This type of relationship, coupled with the most relevant type of risk, also sug- gests that from a control system perspective, short- term evaluation metrics will be important. European Management Journal Vol 18 No 5 October 2000 537 Our earlier discussion of Table 3 details evaluation implications that may be relevant given the specific form of the relationship. For this example, we assume that the strategic alliance is formed as a contractual alliance. Thus, specific details of physical resource contributions and collaborative efforts should be established. In the case of an airline alliance, responsibilities regarding staffing of reservations and problem resolution, in-flight services, maintenance and ground services, and record-keeping should all receive individual attention. It is important to avoid duplication of effort while ensuring that customers of both partners are receiving their customary level of service. Some evidence does exist that airline alliances are not taking full advantage of the benefits available from shared resources, and the balanced scorecard framework might compel the partners to consider these benefits. The alliances typically focus on joint marketing efforts, and The Economist (1999b) estimates that only 15 per cent of alliances attempt to cut costs by sharing catering, training, or mainte- nance functions. Table 4 incorporates these evaluation implications to create a set of criteria for the global airline alliance. It is important to remember that both entities function separately, and we are concentrating only on the activities where there is an interface between the two airlines. We are not primarily concerned with evalu- ation metrics that apply to the entire airline. Instead, we focus on situations where customers of one airline take advantage of the other airline’s services. The first difficulty in the evaluation process is created by the need to segregate performance metrics relative to this group. In some cases, the measures are unique to the collaboration. In others, there are comparisons to total performance of the airline. Consider, for example, the balanced scorecard dimensions related to planning activities shown in Table 4. From a financial perspective, profitability by route and route coverage of destinations in the alliance network are relevant criteria. Similarly, cus- tomer focus, internal business process, and learning and growth evaluation criteria are indicated. Examples of criteria for the other management con- trol activities are provided for each scorecard dimen- sion. Implementing the Evaluation Plan The final step in the evaluation process is to implement the evaluation plan. Formalized, regular assessment is essential for those involved in the alliance to attach credibility to the process and to learn from the results. The frequency of the formal- ised assessment should be determined to give the participants an awareness of the process and allow for them to plan for information collection. Measures must be put in place to assure that the results of the
  • 10. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES Table 4 Selection of Evaluation Criteria For a Global Airline Alliance Management control Balanced Scorecard Dimensions activity Financial Customer focus Internal business Learning and growth process Planning Profitability by route and Identification of potential Identification of Number of new ideas coverage of destinations alliance customer groups responsibility by partner generated for extensions in network not served by existing for shared services of the collaboration by single airline routes employees Co-ordinating Estimated potential Usage of airline lounges Savings from shared Percentage increase in operating income from by collaborative partner services by activity: market share of joined route network by customers ticketing, maintenance, collaborative routes specific destination catering, baggage, etc. Communicating Creation of detailed Estimates of potential Number of process Survey employee financial reports by increase in load factors improvements initiated satisfaction regarding segment for passengers due to customers from by partners relative to information generated in utilizing alliance network partner the collaboration and in utilization of the alliance general Evaluating Revenue per seat mile Repeat and new Provision of comparable Employee productivity from collaboration (and passenger miles by service/attributes on per function (by seat by customer type) customer type and by both airlines for mile) for collaborative relative to total potential airline route segment customers on routes compared to revenue per seat mile collaborative routes total, and by general for the airline by compared to total service activity customer type customers (reservations, ticketing, etc.) Deciding Operating profit per seat Total market share on On-time performance of Availability of information mile from collaboration collaborative routes for collaborative routes on demand by specific relative to total actual both partners relative to compared to industry type and segment for operating profit per seat all competitors and baseline targets collaborative routes and mile in total for each partner Implementing Percentage contribution Customer complaints Improvement in on-time Staff turnover related to of collaboration load from collaborative routes performance and alliance arrangement factor relative to total relative to total reduction of complaints compared to total available complaints for collaborative routes turnover evaluation are communicated and that relevant feed- back is generated. The evaluation process will also need to be refined throughout the life cycle of the alliance to assure that timely information is being col- lected. The final link in the evaluation process is to consider how the output of the evaluation will be used to determine individual and team performance and rewards. Kaplan and Norton (1996) advocate that the implementation of the balanced scorecard become a critical component of feedback in the strategic learn- ing process. There is an interlinked process of four steps facilitated by the balanced scorecard (Kaplan and Norton, 1996, p. 253): (1) clarifying and translat- ing the vision and strategy; (2) communicating and linking; (3) planning and target setting; and (4) stra- tegic feedback and learning. These four steps act as a continuous loop to facilitate learning. These four steps are embedded in the following implemen- tation issues. European Management Journal Vol 18 No 5 October 2000 538 Frequency of Assessment While the feedback from the performance indicators may be regular, e.g. on a monthly basis, the life cycle of an alliance has become increasingly important in managing customer and product relationships and can be even more critical for evaluating alliance relationships. Thus, assessment frequency should consider the evaluation metrics, as well as the environment in general. Not only does the alliance network undergo significant change from inception to completion or abandonment, but also the length of this process can be extremely long. It is important to understand that relationships with competitors, customers, and suppliers change throughout the life cycle. Thus, from an evaluation perspective, assess- ment must be scheduled to help facilitate a relevant consideration of opportunities and threats through- out the life cycle.
  • 11. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES Communication and Feedback Communicating results and providing constructive feedback are vital elements in the management con- trol process. This is the means by which the manage- ment control system not only implements strategy, but uses the process to actually refine and develop future strategy. This step must be formally incorpor- ated into the evaluation process for the alliance. Since lines of communication will comprise a hybrid net- work for the alliance relationship, it is even more important to assure that results of the evaluation are communicated to all partners at all relevant levels in the organization. This may be particularly difficult for sensitive or negative information regarding per- formance. Refinement If the evaluation process remains static, then its potential to affect a positive outcome for the alliance is limited. Environmental, personnel, and strategic changes will often lead to dramatic changes in the type of information that is collected to evaluate alliance effectiveness. Learning over time will enable managers to refine the process. Priorities among the various evaluation criteria may change as well. In addition to communicating the results of the evalu- ation process, it is essential to assess on a regular basis whether the items used in the evaluation are appropriate. Link to Evaluation and Compensation The type of information that upper management monitors provides a signal to subordinates as to what actions are important. To emphasize this relationship, managers are often evaluated based upon measures linked to these actions. However, it may be difficult to select measures of performance that directly relate to actions important in achieving corporate objec- tives. This can be even more problematic in alliance relationships where the outcome is less tangible and takes longer to achieve. The evaluation plan can pro- vide a basis from which to select performance meas- ures. Not only are the evaluation criteria readily apparent, but these measures are more likely to relate to objectives of the alliance. However, Kaplan and Norton (1996) caution linking elements in the bal- anced scorecard to specific performance evaluation measures for managers until an organization becomes more experienced in using the balanced sco- recard. This caution is perhaps even more critical when using the balanced scorecard to evaluate the performance of alliances. Implications and Conclusion Our objective is to develop a process to evaluate the performance of strategic relationships among organi- European Management Journal Vol 18 No 5 October 2000 539 zations. The evaluation process, including applicable metrics, is critical in the assessment of performance. We provide a set of evaluation criteria incorporating the management control system framework in which the strategic relationship operates. The specific cri- teria are tailored to the balanced scorecard approach including measures over four dimensions: financial, customer, internal business processes, and learning and growth. The evaluation criteria can also be adjusted according to unique elements particular to strategic relationships, the form of the relationship and the rationale for the relationship. We have designed a generic template to serve as a basis for preparing a customized means of assessing performance. For the evaluation measures to be suc- cessful, they must be tailored to the individual characteristics of the strategic relationship and the partners. To aid in this customization, we emphasize the management control system process, which focuses on the implementation of a strategy. This process involves elements common to all types of relationships. As with any set of measures, financial or non-finan- cial, a degree of caution must be exercised. Once spe- cific measures are implemented for evaluation, per- formance expectations are now established for the individual strategic relationship participants. Meas- ures must be selected to generate the appropriate behaviours from the participants. Fortunately, one of the key benefits of the balanced scorecard framework is that the measures are balanced and related, and there is less likelihood of dysfunctional behaviour designed to meet singular objectives. References Anand, B.N. and Khanna, T. (2000) Do firms learn to create value? The case of alliances. Strategic Management Journal 21, 295–315. Anthony, R.N. and Govindarajan, V. (1998) Management Con- trol Systems. Irwin/McGraw-Hill, Burr Ridge, IL. Bleeke, J. and Ernst, D. (1991) The way to win in cross-border alliances. Harvard Business Review 69(6), 127–135. Business Week (1999) Special report: partners, 25 October, pp. 106–134. 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  • 12. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES ation concerns in strategic alliances. Administrative Science Quarterly 43, 781–814. Kale, P., Singh, H. and Perlmutter, H. (2000) Learning and protection of proprietary assets in strategic alliances: building relational capital. Strategic Management Journal 21, 217–237. Kaplan, R.S. and Norton, D.P. (1996) Translating Strategy into Action: The Balanced Scorecard. Harvard Business School Press, Boston. Khanna, T., Gulati, R. and Nohria, N. (1998) The dynamics of learning alliances: competition, cooperation, and relative scope. Strategic Management Journal 19(3), 193–210. Lester, T. (1998) Electric effect of alliances. Financial Times, Jan- uary 15, p. 25. Powell, W. (1987) Hybrid organizational arrangements: new form or transitional development? California Management Review 30, 67–87. European Management Journal Vol 18 No 5 October 2000 540 Prahalad, C.K. and Hamel, G. (1990) The core competence of the corporation. Harvard Business Review 68(3), 79–91. Rule, E. and Keown, S. (1998) Competencies of high-per- forming strategic alliances. Strategy and Leadership 26(4), 36–37. Segil, L. (1998) Strategic alliances for the 21st century. Strategy and Leadership 26(4), 12–16. Sivadas, E. and Dwyer, F.R. (2000) An examination of organi- zational factors influencing new product success in internal and alliance-based processes. Journal of Marketing 64(1), 31–49. Slater, S.F., Olson, E.M. and Reddy, V.K. (1997) Strategy-based performance measurement. Business Horizons Jul–Aug, 37–44.
  • 13. ASSESSING THE PERFORMANCE OF STRATEGIC ALLIANCES: MATCHING METRICS TO STRATEGIES KAREN S. CRAVENS, NIGEL PIERCY, Cardiff School of Accounting, 600 University Business School, S. College Avenue, Univer- Colum Drive, Cardiff CF10 sity of Tulsa, Tulsa, OK 3EU, UK. E-mail: piercy@- 74104-3189, USA. E-mail: cardiff.ac.uk karen-cravens@tulsa.edu Nigel Piercy is the Sir Julian Karen Cravens is the Arthur Hodge Chair in Marketing Andersen Faculty Fellow and Strategy at Cardiff and Associate Professor of Business School, part of Accounting at the Univer- Cardiff University. He has sity of Tulsa. She holds a worked in business planning Ph.D. from Texas A&M University, and her main in industry and is an active consultant with many research focus is on management control systems and organizations in the fields of market strategy planning control system elements in an international setting. and implementation. He has contributed more than 200 Recent publications include Journal of International articles to the management literature and nine books. Business Studies, Business Horizons, Journal of His most recent book is: Tales From the Marketplace: Strategic Marketing, and Advances in Manage- Stories of Revolution, Reinvention and Renewal ment Accounting. She previously worked as a licensed (Oxford: Butterworth-Heinemann). Certified Public Accountant for Deloitte Haskins & Sells (now Deloitte Touche). DAVID CRAVENS, M.J. Neeley School of Business, Texas Christian University, TCU Box 298530, Fort Worth, TX 76129, USA. E- mail: d.cravens@tcu.edu David Cravens holds the Eunice and James L. West Chair of American Enterprise Studies at Texas Christian University. Pre- viously, he was the Alcoa Foundation Professor at the University of Tennessee, where he chaired the Depart- ment of Marketing and Transportation and the Man- agement Science Program. Dave is internationally recognized for his research on marketing strategy and sales management; he has contributed over 100 articles, monographs, books, and proceedings papers. His most recent textbook is, Strategic Marketing (Irwin/McGraw Hill, 2000). European Management Journal Vol 18 No 5 October 2000 541