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使用和验证战略基准模型

Using and validating the strategic alignment model David Avison a,*,Jill Jones b ,Philip Powell c ,David Wilson d

a

ESSEC Business School,Paris,France

b State Street Corporation,Sydney,Australia

c University of Bath,Bath,UK

d University of Technology,Sydney,Australia Received 26February 2002;accepted 15August 2004

Available online 2October 2004

Abstract

The literature suggests that ?rms cannot be competitive if their business and information technology strategies are not aligned.Yet achieving strategic alignment continues to be a major concern for business executives.A number of alignment models have been offered in the literature,primary among them the strategic alignment model (SAM).However,there is little published research that attempts to validate SAM or describe its use in practice.This paper reports on the use of SAM in a ?nancial services ?rm.Data from completed projects are applied to the model to determine whether SAM is useful as a management tool to create,assess and sustain strategic alignment between information technology and the business.The paper demonstrates that SAM has conceptual and practical value.The paper also proposes a practical framework that allows management,particularly technology management,to determine current alignment levels and to monitor and change future alignment as required.Through the use of this framework,alignment is more likely to be achieved in practice.

q 2004Elsevier B.V.All rights reserved.

Keywords:Strategic alignment;Strategic alignment model;Alignment framework;Alignment in practice

1.Introduction

The literature suggests that ?rms cannot be competitive or successful if their business and information technology (IT)/information systems (IS)strategies are not aligned.0963-8687/$-see front matter q 2004Elsevier B.V.All rights reserved.

doi:10.1016/j.jsis.2004.08.002

*Corresponding author.Address:Department of SID,ESSEC Business School,Avenue Bernard Hirsch-BP 105,95021,Cergy-Pontoise cedex,France.Tel.:C 33-1-344-33195.

E-mail address:avison@essec.fr (D.Avison).

Strategic alignment positively in?uences IT effectiveness (Porter,1987;Galliers,1991;Ciborra,1997),leading to greater business pro?tability (Luftman et al.,1996).Conversely,it is argued that failure to leverage IT may seriously hamper a ?rm’s performance and viability (Weill and Broadbent,1998;Venkatraman,2000).

The importance of strategic alignment has been stated frequently (Earl,1996;Labovitz and Rosansky,1997;Corrall,2000),indeed,Galliers and Newell (2003)call it a central tenet of much of the theory and practice of IS strategy.It is a key concern for business executives (Luftman et al.,1996)and is ranked among the most important issues faced by IT executives (Papp,2001;Tallon and Kraemer,2003;Trainor,2003).This importance is reinforced by numerous industry surveys that reveal executives’perceptions of alignment (Fitzharris,1999;Head,2000;Kennedy,2000;Leigh,2000;Weil,2001).In Luftman et al.’s (1996)survey of 500US executives from 300organisations,about half believed their organisations to be aligned.

However,despite the widespread acceptance that business and IT strategies should be aligned,the nature of alignment is inadequately clari?ed in the literature:

The concept of linkage has been historically invoked as a metaphor to argue for the integration of business and information technology strategies without adequate articulation or clari?cation of its characteristics (Henderson and Venkatraman,1989).

Although Luftman (1996),Yetton (1997),Hsaio and Ormerod (1998)and Burn (1997)provide some examples of enablers and inhibitors of alignment,the literature provides little guidance on how to achieve alignment between business and IT strategies;the impacts misalignment might have on a ?rm;and what management can do to diagnose,achieve and maintain alignment (Luftman et al.,1996;Papp and Motiwalla,1996).

This paper ?rst reviews the debate on alignment in Section 2and argues for using the SAM model of strategic alignment.We discuss SAM,along with its extensions in Section 3and then investigate its use in a ?nancial services ?rm in Section 4.Here,data from a set of completed projects are applied to the model and this research suggests that the model has value as a management tool to assess,create and sustain strategic alignment between IT/IS and the business.The paper concludes by proposing a practical model that allows technology management to determine current alignment and to help monitor and alter future alignment as required.

2.Strategic alignment—the debate

In contrast to some other areas of IS research,there is debate in the literature about what alignment actually is,why it is needed,how ?rms may go about the task of becoming aligned,and how it should best be researched.While there is little agreement on conceptualising alignment and its research basis,the literature does regularly lament the paucity of studies that assess how organisations carry out alignment in practice,an issue that is addressed later in this paper.This section reviews existing research and places our contribution within the dimensions of that research.

Strategic alignment has many pseudonyms.It is also termed ?t (Porter,1996),integration (Weill and Broadbent,1998),bridge (Ciborra,1997),harmony (Luftman et al.,

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D.Avison et al./Journal of Strategic Information Systems13(2004)223–246225 1996),fusion(Smaczny,2001)and linkage(Henderson and Venkatraman,1989). However,in all cases,it concerns the integration of strategies relating to the business and its IT/IS.

There are those who argue that IS alignment is not an issue in its own right.Some researchers,for example,Smaczny(2001),assert that as IS is pervasive in business,it should not be regarded as separable from business strategy,and therefore the need for alignment does not arise.Smaczny uses the term fusion to describe this integration. Yet,strategy in its broadest sense is all about alignment or matching organisational resources(including IS)with environmental threats and opportunities(Andrews,1980). Indeed,IT management can be conceptualised as a problem of aligning the relationships between the business and IT infrastructure domain(Reich and Benbasat, 1996)in order to take advantage of IT opportunities and capabilities(Sambarmarthy and Zmud,1992).

Alignment is seen to assist a?rm in three ways:by maximising return on IT investment, by helping to achieve competitive advantage through IS,and by providing direction and ?exibility to react to new opportunities.However,the apparent gap between the decision to invest in IT and the realisation of bene?ts(Weill and Broadbent,1998)highlights the risk of using IT to initiate new strategies and transform business.Co-operation between the business and the IT department to maximise investment in technology is vital,and with this in mind,IT investments and business objectives have to be considered together.Yet, few senior management career paths include responsibility for IT(Weill and Broadbent, 1998)and technology is typically treated as a cost centre or viewed as an expense rather than an enabler of business value(Venkatraman,1997;Avison et al.,1999a;Papp,2001).

Although Jarvenpaa and Ives(1994)argue that too tight a?t between IS and business strategy may reduce strategic?exibility,alignment is usually viewed as bene?cial as the following shows.Lederer and Mendelow(1989),for example,suggest that alignment increases the likelihood of developing systems more critical to the organisation and of obtaining top management support for IS.As IT’s role in corporate strategy development increases,the application and analysis of alignment will facilitate a more competitive and pro?table organisation(Galliers,1991;Porter,1987).Economic performance may be enhanced by alignment,by?nding the right?t between external positioning and internal arrangements(Ciborra,1997).By concentrating on the alignment of strategy and infrastructure,?rms may not only achieve synergy and facilitate the development of business plans,but also increase pro?tability and ef?ciency.These tangible bene?ts allow management to focus on the application of IT as a means to leverage their core competencies,skills and technology scope,resulting in improved ef?ciency(Papp,2001; Luftman et al.,1996).

Having argued that alignment is desirable,a second issue relates to how?rms may become aligned.This is discussed next.The?rst concern regarding the practice of alignment is whether strategy or strategising is an appropriate way for?rms to attain alignment.Weill and Broadbent(1998)support this view by arguing that by understanding and leveraging the business–IT partnership,an organisation can concentrate on the application of IT to enable the business strategy.

Critics of strategic planning and alignment maintain that the implicit dominance of a structured strategy process is questionable in an era where uncertainty and?exibility

predominate and the articulation of the strategic intent is dif?cult (Ciborra,1997).Real life and real strategising is ‘messy’and human thinking and actions rarely follow strict modular concepts (McKay and Marshall,1999;Avison et al.,1999a,b ).Strategic alignment also presumes that management is in full control and that information infrastructure can deliberately be aligned with emerging management insights (Maes,1999;Ciborra,1997;Galliers and Newell,2003).Hence some argue that strategic alignment is illusory,even inexpedient (Maes,1999).

The application of concepts such as strategic ?t between resources and opportunities;generic strategies of low cost versus differentiation versus focus;and the strategic hierarchy of goals,strategies and tactics may make the strategic process rigid.This has a negative rather than a positive impact on an organisation when followed speci?cally and pedantically (Hamel and Prahalad,1990).Strategic planning can distort creative thinking and misguide organisations that embrace it unreservedly (Mintzburg,1987).

Reich and Benbasat (1996)see IS planning as but one mechanism to achieve linkage.The intellectual dimensions of linkage require that business and IT plans are internally consistent with mission,and that they are externally valid,https://www.sodocs.net/doc/b66912291.html,prehensive and balanced to external business and IT environments.They discuss the conceptualisation of linkages and how they might be measured by understanding current objectives,congruence in IT vision and self-reporting.

A further debate concerns the measurement of alignment.Ciborra (1997)argues that management,through knowledge and understanding of alignment,can classify their strategy in terms of boxes and linear relationships,but back in the real world,they have dif?culty in measuring those relationships or formulating processes to apply the alignment maps in practice.Measures that align everyone within the organisation,with the intentions of the business and with the key goals of their respective departments,are needed to achieve strategic alignment,but there are no indicators as to what these measures might be (Labovitz and Rosansky,1997;Galliers,1991).

There is also disagreement as to whether strategic alignment should be viewed as an outcome or as a dynamic process.The former view was dominant (Weill and Broadbent,1998;Porter and Millar,1985;Earl,1989)and consequently the need to maintain alignment dynamically was rarely acknowledged.However more recent research argues for dynamic alignment (Labovitz and Rosansky,1997;Venkatraman,2000;Ciborra,1997).

Smaczny (2001)claims that no studies focus on how organisations actually achieve alignment (though clearly there are some organisations that attempt this)nor,indeed,whether alignment is the right way of looking at the issue.Most models of alignment assume that organisations are built on mechanistic principles and that management uses structured,planning-oriented approaches to business objectives.In such ?rms alignment may work,but not in others.

The early work on strategic processes essentially viewed ?rms as homogeneous.More recent research,especially with the increasing interest in competencies and capabilities,recognises that ?rms have different resources and are differently able to marshal these.Tallon et al.(2000)suggest that as strategic alignment is one of the most important issues facing business and IS executives,focussed ?rms will achieve more alignment and that differently focussed ?rms will use different techniques for their IT evaluation.The authors examine executives’perceptions of the business value of IT.They identify a number of

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D.Avison et al./Journal of Strategic Information Systems13(2004)223–246227?rm types.In unfocussed?rms there are no clear goals for IT and executives are indifferent to it.IT is viewed as an expense,so management delays IT purchases and then mismanages or under-manages the IT investments they do make.In operations-focussed ?rms,the goals concern the operational effectiveness of IT.These goals involve reducing operating costs and increasing ef?ciency.In market-focussed?rms,IT is used to enhance strategic positioning by creating or improving value propositions for customers.Finally, dual-focussed?rms improve operational effectiveness and strategic positioning simul-taneously by market reach and new market creation.Empirically,the authors assess strategic alignment using a single item—extent to which IT strategy supports business strategy.The results suggest that executives in dual-focussed?rms perceived the highest level of IT business value,followed by those in market-focussed?rms,those in operations-focussed?rms,and?nally by unfocussed?rm executives.Executives with more focussed goals for IT perceive higher levels of alignment,and higher levels of strategic alignment are associated with higher perceived levels of IT business value.

Using the Miles and Snow?rm typology rather than?rm-focus,Sabherwal and Chan (2001)show that alignment improves business performance and business success. Prospectors should develop and use market IS and strategic decision support systems. Systems imitation is less useful,unless strategies are similar and the signi?cance of association between alignment and business success depends on business strategy.There is signi?cant correlation between alignment and performance for prospectors and analysers but not for defenders.This suggests that senior managers in defenders should not argue strongly for alignment.However,Sabherwal and Chan(2001,p.27)conclude that ‘The processes by which alignment is accomplished(i.e.practically and effectively worked out)in organisations need to be better understood’.

Concurrently,Hirschheim and Sabherwal(2001)assess whether?rms that follow the Miles and Snow typology suffer differentially from problems in achieving alignment. They identify three problematic trajectories in seeking alignment:paradoxical decisions, excessive transformations and uncertain turnarounds.Defenders are thought to have a ‘utility’pro?le for IS use,achieved through low cost delivery,often outsourced.Analysers will seek alliances,perhaps by strategic https://www.sodocs.net/doc/b66912291.html,stly,prospectors have an infusion pro?le involving alignment through business leadership.Here IS is insourced and decentralised.Problematic alignment trajectories are explained by organisational inertia often due to sequential attention to goals,knowledge gaps,split executive responsibilities and underestimation of the extent of problems.The authors suggest that knowledge and process integration,planning processes involving multiple perspectives and transitional ?gures or powerful external forces may be employed to aid strategic IS alignment efforts.

Understanding processes lead to consideration of what may enable or inhibit alignment (Luftman et al.,1996).The enablers include executive support for IT,starting development in tandem,leadership from the IT department that the IT department prioritises workload well and that the?rms’resources are shared.In contrast,the inhibitors are that the IT department prioritises workload poorly,there is no close relationship between the IT department and the business,the IT department does not know its customers and it does not meet its commitments,resulting in little executive support for IT.

Papp(1999)concurs that alignment is the key to achieving improved pro?tability from IT.For him,alignment considers strategic?t between strategy and infrastructure,and

fundamental integration between business and IT.He identi?es 12perspectives on alignment in the literature,of which fusion is common.This is one of the few papers to offer managers a method by which they may assess or achieve alignment.This involves assessing the ?rm’s perspectives using the alignment model,learning to recognise and leverage IT to maximum ef?ciency,incorporating ?nancial measurements suitable for the particular industry,giving everyone a role to facilitate synergy between IT and the business,and ?nally,continuous review of alignment and assessment.However,while these may be sensible steps to take,this is somewhat general in nature and there is insuf?ciency here for a manager to use in practice.

In analysing alignment in small ?rms,Hussain et al.(2002)concur that alignment is used to mean a variety of things.Different researchers have focussed on different parts of the Henderson and Venkatraman (1989)model,either the process or the content.These include linking mechanisms to achieve alignment with a social element (who is involved)and an intellectual element (methods and techniques).Reviewing various attempts to measure ?t (Atkins,1994;Lefebvre et al.,1992;Chan et al.,1997;Luftman et al.,1999;Reich and Benbasat,2000),the authors suggest that there is little consensus on the factors involved.Their results show that aligned ?rms have greater IT maturity,CEO knowledge of software is greater in aligned ?rms and that there is no support for a relationship between external IT expertise and IT alignment.Hussain et al.conclude that there remains a ‘need for research into processes associated with alignment’(p.119).In a companion paper,Cragg et al.(2002)suggest that many small manufacturers had achieved a high degree of alignment between business strategy and IT,‘but we don’t know how this was achieved’(p.122).The highly aligned ?rms perceive greater impacts from IT.

Luftman (1996),Luftman (1997)and Papp (2001)do provide some practical application of strategic alignment (for example,where to start and how to continue the alignment process),yet fail to test the theories and methods in a practical manner in real life situations and organisations (Avison et al.,1999a,b ).Most ?rms of any size have had strategic plans for many years and their increasing linkage with business strategy should have resulted in some form of alignment.However,this is not clearly the case,and this suggests that a problem still exists.Perhaps,there is a need for a clearer framework,despite models being available (Henderson and Venkatraman,1989;Ciborra,1997).

This section has demonstrated that there is a lack of agreement in the literature as to how ?rms do and should align.Part of this lack concerns a focus on theoretical rather than empirical studies,but other aspects point to disagreement as to how alignment is best researched.We now investigate this aspect.

Although alignment is a top management concern,no comprehensive model of the construct is commonly used.Reich and Benbasat (2000)contend that strategic alignment may be approached from a process or outcome perspective.Process research involves investigating planning activities,while outcome research involves realised strategies.Research of these two types would either examine strategies,structures and planning methods,or would focus on actors,values,communication and understanding.They suggest that there are two dimensions to strategy creation;an intellectual dimension that investigates the content of plans and planning approaches,and a social one looking at the people involved in the creation of alignment.As alignment is the degree to which the IT mission,objectives and plans support and are supported by the business mission,

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D.Avison et al./Journal of Strategic Information Systems13(2004)223–246229 objectives and plans,it is a state or outcome and its determinants are processes.Reich and Benbasat claim that the social dimension is less researched and which research treats strategy as a rational process.In any planning process,the involvement of top management is important as it improves the quality of IT,the progressive use of IT,rational innovation and IT effectiveness.

Regarding process,Das et al.(1991)identify?ve dimensions.Formality is about structure in the planning process,while scope assesses its comprehensiveness. Participation requires the involvement of managers,and in?uences are about the power of stakeholders.Finally,co-ordination investigates planning process corrections.In contrast,outcome research focuses on realised rather than planned or intended strategies.

Reich and Benbasat(2000)show that?ve elements contribute to short-term alignment. These are shared domain knowledge between the IT department and the business domain, IT implementation success,communications,planning connections between IT and the business,and business direction.In the longer term,there is little support for their model, only shared domain knowledge unambiguously distinguishes high from low achievers, though long-term business direction is also important.

There is an issue regarding the unit of analysis in alignment research.This concerns whether projects,?rms or processes are the appropriate item to study.For example,Tallon and Kraemer(2003)examine alignment at a process rather than the?rm level,employing, as a surrogate for alignment,cross-referencing in plans.They comment that some studies use executive perceptions of IT payoffs to try to understand the link between strategic alignment and IT business value.This approach has some support from Venkatramen and Ramanjam(1987)who?nd correlations between executives’perceptions and reality. Tallon and Kraemer introduce the notion of IT shortfall(where IT fails to support the business strategy)and IT under-utilisation(where business strategy fails to use IT).Their results show that alignment is highest in production,operations and customer relations, and lowest in sales and marketing.They further suggest that strategic alignment may lead to greater payoffs from IT,but that the relationship is only valid up to a certain critical level of alignment.However,Reich and Benbasat(1996)dismiss the use of written reports in alignment research,as they claim that reports are not used and can easily become out of date.

Finally,most alignment research treats alignment as a static end state rather than a moving target.Sabherwal et al.(2001)investigate how alignment evolves over time using a punctuated equilibrium model,i.e.long periods of stability followed by short periods of revolutionary change.If this sort of model applies,then static contingent models are unlikely to be appropriate.A punctuated equilibrium model suggests that even after alignment is achieved,environmental changes can reduce alignment due to over-emphasis,complacency and inertia,engendering a need for revolutionary change.Their results demonstrate that some?rms had low alignment or misalignment even during evolutionary periods.Additionally,all the revolutions required some combination of?ve strong triggers—environmental shifts,sustained low performance,in?uential outsiders, strong leadership and perceptual transformation.The conclusions are that resolution by redesign is used but does not often work,although revolutions sometimes go too far.To address this,the IS strategic management pro?le should include business and IS strategy and structure.

This discussion has shown that there is a clear need for further research into alignment,especially the practicalities of its achievement.Having provided an overview of alignment,drawing attention to gaps in the research,this paper now discusses the chosen model of alignment and how it was researched in one organisation.This will enable us to demonstrate a practical framework to determine current alignment levels in ?rms and to monitor and change future alignment as required.Through the use of this framework,alignment is more likely to be achieved in practice.

3.Strategic alignment model (SAM)and extensions

3.1.Strategic alignment model

A number of models of strategic alignment have been proposed.The two key ones that have attracted most attention from researchers are the MIT90s model (Scott Morton,1991)and the SAM (Henderson and Venkatraman,1989).The latter is employed here as:

In comparison to the elements of the MIT90s framework,SAM draws a distinction between the external perspective of IT (IT strategy)and the internal focus of IT (IT infrastructure and process).This recognises the potential of IT to both support and shape business policy.It also elevates IT strategy from the traditional role of IT as solely an internal support mechanism (Henderson and Venkatraman,1989).

This distinction implies two levels of integration:strategic integration between IT and the business strategy,which establishes the capability of IT at a strategic level,and operational integration,the link between IT infrastructure and process and organisational internal infrastructure and processes.

The SAM has been the basis for much of the strategic IT research.In our research,the model is used to discuss components of strategy and structure in an organisation and the factors to consider in assessing alignment.

The model (Fig.1)is de?ned in terms of four domains of strategic choice:business strategy,IT strategy,organisation infrastructure and processes,and IT infrastructure and processes.Each has its constituent components:scope,competencies and governance at the external level;and infrastructure,skills and process at the internal level.The model is conceptualised in terms of two fundamental characteristics of strategic management:strategic ?t (the interrelationships between external and internal domains)and functional integration (integration between business and technology domains).

Henderson and Venkatraman (1989)incorporate cross-domain perspectives,arguing that neither strategic nor functional integration alone is suf?cient to align an organisation effectively.The multi-variate co-alignment (alignment perspective)addresses functional and strategic integration.The linkage between strategy and infrastructure and processes is examined in terms of process,structure and people,rather than at an abstract level of attempting to relate internal architectures to strategic goals.Multi-variate cross-domain perspectives work on the premise that strategic alignment at an organisational level can only occur when three of the four corporate domains are in alignment.The underlying

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premise is that change cannot happen in one domain without impacting on at least two of the remaining three domains in some way.

An organisation’s alignment perspective can be derived by drawing a line through the three dominant domain types,anchor domain,pivot domain and impacted domain:

Anchor domain :this is the strongest domain.It may have the strongest representation at executive level or be the core business area.It will generally be the initiator of change and provide the majority of requests for IT resources.

Pivot domain :this domain indicates which functional or strategic domain will ultimately be affected by the change initiated within the anchor domain.Luftman et al.(1996)identify this as the weakest domain.

Impacted domain :this domain is impacted the greatest by the change initiated in the anchor domain.Luftman et al.(1995)and Henderson and Venkatraman (1989)contradict each other in the interpretation of perspectives,and confuse the identi?cation of the impacted domain.Henderson and Venkatraman (1989)identify the horizontal direction of the perspective as the impacted domain and the vertical direction of the perspective

as Fig.1.Strategic alignment (adapted from Henderson and Venkatraman,1989).

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having implications for that domain,independent of which comes ?rst,second or third.Luftman et al.(1995)identify the second domain as the weakest domain and the third domain as the impacted domain,in all cases.In Luftman et al.,the strongest domain and the weakest domain are always adjacent to each other but this cannot hold true if the two domains are in opposite quadrants.

Henderson and Venkatraman provide a de?nition of each alignment perspective and an example for each that can be applied within a ?rm.Although the examples given are somewhat dated,they still enable understanding of the meaning of each perspective.The direction of the perspective runs from the anchor domain to the impacted domain,via the pivot domain.Perspectives are either ‘top down’strategy driven or ‘bottom up’process driven.

3.2.Extensions to the strategic alignment model

Two key strains of research have emerged that follow on from the initial model.First,Luftman et al.(1996)de?ne and review the original model in a more practical way though they do not enhance the model itself.Focusing on the concept of alignment perspectives,they expand the research to identify enablers and inhibitors to alignment within organisations.Their research con?rms that the major enablers and/or inhibitors to alignment relate to communication and support between business and technology management.They also con?rm the importance of including IT management in the strategic planning process.Second,Maes (1999)and Maes et al.(2000)enhance the SAM,producing the uni?ed framework that incorporates additional functional and strategic layers into the model to re?ect the current need for information and communication.

The uni?ed framework is a generic framework for investigating and interrelating the different components of information management,and deals with the interrelationships of business,information,communication and technology at the strategic,structural and operations levels.This framework is the ?rst real attempt to re?ne SAM to re?ect the fact that IT and business strategies are moving closer together as technology evolves and becomes more integrated.

The initial framework adds a third vertical and horizontal domain to the SAM to re?ect the separation of information/communication from technology,stressing the growing importance of information and information delivery (Fig.2).Their main premise is that the use and sharing of information,and not the provision of information,are the real source of competitive https://www.sodocs.net/doc/b66912291.html,rmation sharing acts as a buffer between business and technology,making the bene?ts of information more apparent to the business.

The horizontal dimension splits the internal domain into structural and operational levels.The new middle row represents the more long-term architectural components,competencies and infrastructures of the organisation,combining all functional areas.The vertical dimension represents the internal and external information/communication aspects,the interpreting processes of information and communication and knowledge sharing.The vertical column is the translator,the ?nder of a common language between technology and business.At its core,where (infra)structure meets

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information/communication,the authors introduce information resource management,and the bene?ts of a learning enterprise through knowledge https://www.sodocs.net/doc/b66912291.html,rmation sharing and communication are anchors for all other boxes within the model.

Goedvolk et al.(2000)develop a similar framework that focuses on the technical or architectural side of SAM.The architecture framework (IAF)aims to integrate the architectural design of business and IT and enhances Maes’work in two ways.First,it expands Maes’ideas on internal information requirements through adding an additional column,separating the information providers from the systems that provide the information.The new information domain represents the knowledge,communi-cation and co-ordination of information.Second,it adds a third dimension to the model,which contains speci?c sub-architecture areas.These prescribe the design of organisational aspects that are the consequence of the introduction of an information system.

The generic framework and the IAF can be combined to form a uni?ed framework (Maes et al.,2000)(Fig.3).This is an attempt to transform the concept of alignment into a practical method,incorporating both management and design

components.

Fig.2.A generic framework for information management (Maes,1999).

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3.3.Assessment of the strategic alignment model

It is important that the SAM and its extensions are of practical use,and that the model provides practical bene?t.A manager can put any amount of information into prede?ned boxes,but when it comes to putting a measure to it in the real world,they ?nd it dif?cult to translate (Ciborra,1997).Unfortunately there is little in the literature at present that explains what a manager should do with these frameworks other than understand them conceptually.

The literature does,however,provide a reasonable explanation of what activities or systems should be placed in each domain of the original model.Both a generic explanation and an example,although now dated,are provided to add clarity to the framework (Henderson and Venkatraman,1989).Further details are provided for the internal components of each domain,but only for the four original domains in the SAM (Henderson and Venkatraman,1989;Papp and Luftman,1995;Luftman,1997).There is little in the way of examples of the newly introduced functional domains of information/communication and IS other than a name to the underlying components of each domain (Maes,1999).Similarly,the split of operations infrastructure and processes into two levels,(infra)structural and procedural,has insuf?cient explanation to enable a thorough population of information into the structural domains.

Although the model is a little in?exible,it has a hardware bias and,with the advent of the internet,virtual networks and real-time information requirements,appears technically dated,the underlying theories are conceptually sound,even in today’s environment.For any model to continue to exist and be practically relevant,not just conceptually relevant (McKay and Marshall,1999),it should be implemented as a dynamic process and planning should be ?exible enough to allow an organisation to take advantage of opportunistic developments,without having to improvise and disregard all planning.However,there

is

Fig.3.Alignment through a uni?ed framework (Maes et al.,2000).

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D.Avison et al./Journal of Strategic Information Systems13(2004)223–246235 currently little evidence of the practical application of the model.Even though Cap Gemini Ernst and Young,Netherlands(http://www.cs.vu.nl)have used this model,at least in part,practical examples are limited.There is,therefore,a need for further real world validation of SAM.We therefore now turn to our own empirical research.

4.Empirical research

4.1.Background

The company where the research re?ected in this paper was carried out is in the custody sector of the?nance industry in Australia.It is part of a global?rm,with a US-based head of?ce.Globally,there are more than18,000employees.However,in Australia,the?rm is a medium-sized enterprise with400employees.IT staff are at a ratio of1:10to business staff and the IT manager(CIO)sits on the executive committee.The global custody business is known for its low pro?t margins and limited customer base,hence technology is heavily leveraged to realise internal cost ef?ciencies and provide competitive advantage through products and services that add value.It is also an area where short turnaround times of accurate information,to anywhere in the world,is a standard requirement.The industry is moving towards a T C1(2day)settlement period for all market securities.This triggered frenzied IT development globally.

The executive committee is committed to maintaining a strategic advantage in IT and, prompted by the CIO,reviewed formal approaches to ensuring alignment between the ?rm’s business and IT plans.The SAM was intuitively attractive but the executive had reservations about its‘academic’nature and agreed to support our research project to assess whether SAM could be used in practice.The study uses data from completed projects which were analysed against the SAM.The aim is to focus on existing processes, systems and procedures that directly impact or in?uence the strategic planning process and includes completed IT projects prioritised by the?rm during the12months from January 2000to December2000.A cross-sectional analysis of data was performed and data were gathered and collated as a one-off event.The research consists of two phases:a descriptive phase,focusing on describing information management in terms of the domains and components of the SAM and an explanatory phase,using a matrix of real world data to depict the historical decision-making process concerning information management.

The focus of the research is limited to one area of investigation within one organisation. One of the authors participated in some of the projects as a systems analyst during the year in question,and subsequently remained as such in the?rm whilst gathering the data. Although the outcomes may be interpreted for general use,the research is speci?c to this individual situation.

The organisational material gathered during this research comprises:

?Completed projects the projects were gathered from the yearly statistics on completed projects provided by the IT department.They involved all projects in which IT was required to some degree.A cross-sectional analysis of the project portfolio was performed.

?IT and business strategy documents these included the business strategy,IT strategy,and IT department goals.This information was gained through document gathering and informal interviews with IT and business management.

?Project prioritisation process information regarding this was gained through documentation,examining procedures and through informal interviews.

The objective of the analysis is to provide a starting point in the determination of the degree of alignment between business and IT strategies within the ?rm.The original concept of matching projects to their associated domains to depict an organisation’s strategic intent and alignment was inspired by research conducted by Truijens and Maes (2000).Using this approach,we assessed the actual strategic direction of the completed projects and compared this with the planned strategic direction derived from the business strategy set at the beginning of 2000by the executive committee.

4.2.Strategy determination and implementation

The setting of strategy and the prioritisation of projects is determined jointly by business and IT management.The company views the integration of these two processes as integral to achieving and maintaining strategic alignment.The CIO has been a member of the executive committee since 1997.The integration of IT and business initiatives into company strategy is indicated by the fact that,in 2000,three of the ?ve corporate goals were IT-focused and three speci?c IT strategies were mentioned.

Company goals are grouped into main themes,for example new business ,internal ef?ciencies and people .The management team reviews each goal and discusses possible strategies to achieve them.Sub-groups are then formed within the management team to focus on the achievement of one (or more)of the goals.An executive heads each sub-group.This ensures that the strategies and implementation of those strategies obtain equal weighting and representation within the executive committee.The sub-groups are accountable for the formulation and implementation of strategies to achieve their allocated goal(s).However,every manager is responsible for the achievement of all the goals,not just those that lie within their sub-group allocation.Performance and progress in achieving the objectives are communicated to the management team on a monthly basis.The strategic plan is also available for all staff members to review on-line through the https://www.sodocs.net/doc/b66912291.html,rmation dissemination is viewed as an important part of this process.

The output from this process is a set of projects.Alignment is also maintained at the project level.A project prioritisation committee ensures only those projects aligned to the organisational goals are allocated IT resources.The intention is for this committee to drive the planning process and ensure business leadership and accountability across the company on all projects.Each project is assessed on its potential to achieve a speci?c company goal and a speci?c process is followed to achieve this end.Although research was con?ned to speci?c data during 2000,information on prior years was obtained through informal interviews with various managers at differing levels.It became apparent that this process had been evolving for several years but the process outlined below had only been in place for two successive years previously.

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D.Avison et al./Journal of Strategic Information Systems13(2004)223–246237

4.2.1.Stage1

All managers who require IT resources to achieve an end result complete project request forms.The project request template includes a section to be completed on the expected bene?ts resulting from the development in monetary terms.An IT department representative then collates all project requests.

4.2.2.Stage2

A comprehensive list of all projects is submitted to the project prioritisation committee. Projects are considered within four major categories:competitive advantage,regulatory, infrastructure upgrades and internal ef?ciencies.The committee ensures there is no bias in one category at the expense of another.Projects are discussed on their merit and given a rating of high,medium or low.

4.2.3.Stage3

High level‘scopes’are compiled by the IT department on all projects rated high and medium.Scopes include anticipated effort involved in both human and technical resources and monetary cost for the project.Any hardware components required are also included.

4.2.4.Stage4

The project prioritisation committee is reconvened.The re?ned list,with costs and bene?ts now included,is presented and discussed at length.The committee decides which projects are to be allocated IT resources and assigns a sponsor to each project.

Company executives believe that this combination of strategic planning and project prioritisation ensures strategic alignment.By applying the data gathered from the completed prioritised projects to the SAM and the uni?ed framework,this research attempts to assess the actual degree of alignment within the?rm.

4.3.Results

In this organisation,55projects were completed and deployed by the IT department in 2000.Each project had been approved by the project prioritisation committee prior to development.As part of this prioritisation process,the projects for2000were allocated into four major categories:operating ef?ciency(OE),client demand,infrastructure upgrade and regulatory.In2000,the allocation was:

OE3258%

Operating

ef?ciency

Client demand CD713%

IU713% Infrastructure

upgrade

Regulatory R916%

Projects within these categories were also classi?ed by the area impacted and/or the nature of the project:competitive advantage(CA),health(ongoing maintenance)(H),and repositioning(R).

The completed projects were analysed and mapped by category/classi?cation to the domains of the SAM and the uni?ed framework.The results of the mapping exercise are shown in the domain matrix (Table 1).

Reviewing the spread of projects over the domain matrix,patterns began to emerge for different combinations of classi?cations;for example,between those projects classi?ed as OE/CA.By connecting similar combinations,the beginnings of an alignment perspective began to emerge (Fig.4).

The emergence of these patterns was encouraging,but we became frustrated as the patterns are,in themselves,not conclusive.We decided that this was largely because the starting point of the perspective,the anchor domain ,had not been established.Establishing the anchor domain (and therefore the direction of the impact)determines the alignment perspective being followed in completing these project categories/classi-?cations.Again,we became frustrated because establishing the anchor domain proved to be a dif?cult and somewhat subjective process.However,further contemplation suggested that the guidelines provided by Henderson and Venkatraman (1989)and Papp and Luftman (1995)might enable the perspectives to be determined.The anchor domains so determined are shown with different line patterns in Fig.5.

Table 1

Mapping completed projects to the strategic alignment model

Business strategy

Information/communi-cation strategy Information systems strategy Technology strategy Categories:OE/R,R/R,

CD/CA,OE/CA

Categories:OE/CA Categories:OE/CA,OE/H Categories:R/R,IU/H,CD/R,CD/CA Projects:Repositioning,

Globalisation,New Pro-

duct Development,

Internet

Projects:Global implementation,Intra-net/Internet Projects:Work-?ow Projects:Risk,Tax Reform,Security,Stab-ility Business infrastructure

Information/communi-cation infrastructure Information systems infrastructure Technology infrastruc-ture Categories:OE/R

Categories:Categories:OE/CA,OE/H,R/R Categories:IU/H Projects:Repositioning,

Deployment Projects:None identi?ed Projects:Work?ow,Intranet/Internet,

Sybase,Web logic

upgrades

Projects:Communi-cations,Spectrum disas-ter recovery Business processes Information/communi-cation processes Information systems

processes

Technology processes Categories:OE/CA,OE/R Categories:Categories:OE/CA,OE/

H

Categories:Projects:Global implementation,Reposi-tioning Projects:None identi?ed Projects:Systems

migration,data source

changes,procedural

updates Projects:None identi?ed

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The alignment perspectives identi?ed by Henderson and Venkatraman (1989)and Papp and Luftman (1995)(see Fig.6)could now be traced in the patterns shown in Fig.5.

4.3.1.Technology leverage (technology potential)

Regulatory/repositioning (R/R)category/classi?cation of 31projects,predominantly new product development,client initiatives and strategic repositioning initiatives,

which

Fig.4.Alignment perspective patterns without anchor

domain.

Fig.5.Alignment perspective patterns with anchor domain.

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exhibit the cross-domain perspective shown in Fig.6(the following pattern in Fig.5

).

We were now enthused as genuine alignment patterns as described by the SAM were beginning to emerge in the projects being reviewed.

4.4.Assessment of strategic alignment

Three perspectives are identi?ed by the project mapping process:two dominant,technology leverage and organisational requirements ,and one less dominant,technology implementation .The most dominant alignment perspective is the technology leverage perspective,otherwise known as technology potential (Luftman and Papp,1995).This

is

Fig.6.Alignment perspectives (modi?ed from Henderson and Venkatraman,1989;Luftman and Papp,1995).D.Avison et al./Journal of Strategic Information Systems 13(2004)223–246

240

D.Avison et al./Journal of Strategic Information Systems13(2004)223–246241 in keeping with the vision to be a technology?rm that delivers?nancial solutions,rather than a?nancial?rm that provides technology solutions.It is notable that as business and data volumes continue to increase,staff levels have not increased for several years,further suggesting the dependence on IT solutions.

Several inter-linking management practices are identi?ed as instrumental to the process of alignment,these being the process of setting strategy and prioritising projects.By analysing the prioritised projects it is evident that the business strategy has incorporated IT initiatives into the strategic direction and corporate goals,and that the business is driving those initiatives.By their inclusion in the business strategy,the executive committee indicates that these initiatives are viewed as integral to maintaining external competitive advantage or internal operating ef?ciencies.The IT strategy remains separated and supports the business strategy,aligning all its initiatives to business strategy down to the lowest levels.The components of IT strategy will always remain separate,as do other functional areas(e.g.human relations,?nance)to drive speci?c technical initiatives.This move towards integrated strategies is partly due to the representation and participation of IT management on the executive committee in recent years.This suggests a progression from previous practice(Avison et al.,1999a,b).

5.Proposed framework

One purpose of this research is to identify or develop a practical framework for managers in general,though it is likely to be used by technology managers,to help them to identify the current level of alignment with the business and also to control future alignment.On completion of the domain analysis,management should be able to determine their understanding of the?rm and its alignment,i.e.they should have the following:

A completed document that details the position across the?rm,in terms of business, information,IS and technology,from a strategic,structural and operational perspective. This indicates a good understanding of the?rm,and its interrelationships and interdependencies.

OR

An incomplete document with gaps in some of the domains,indicating a poor knowledge and/or understanding of the?rm,and its interrelationships and interdependencies.

If a complete analysis has been performed,management will have suf?cient information to allow a graphical interpretation of the?rm’s position from a strategic, structural and operational perspective.This,in turn,will identify the type and degree of alignment.

This research identi?es a process that enables a manager,or management team,to determine the alignment perspective taken by their?rm and enable them to change the perspective to ensure the IT strategic direction is aligned with the business strategic direction,through the re-allocation of project resources.

This is a four-step process:

5.1.Step 1

Complete an organisational pro?le as it currently stands,by performing an analysis on the individual domains and components,for example technology strategy —governance/scope/competencies.

5.2.Step 2

To this pro?le apply the proposed projects for the coming year.This assists the analysis if the projects have been classi?ed in a manner representative of the ?rm’s business.Every project should be able to be applied across at least one domain.If this is not the case,either the analysis requires further de?nition or the project is not in line with the ?rm’s business (management should therefore consider removing the project or changing its scope).Once all the projects have been mapped across the domains of the model,a graphical representation of the positioning of project groupings should be possible.This will provide an indication of,but not the direction of,the ?rm’s alignment perspective (Table 1and Fig.

4).

5.3.Step 3

To determine the direction,compare the groupings in step 2to the individual alignment perspectives outlined in the model.Management should choose the perspective(s)that best matches each project or project grouping.This will identify the intention of the project (anchor)and highlight what management anticipates the project to accomplish (pivot)on delivery.This will determine the actual alignment perspective that will be achieved on the completion of the group of projects being analysed.

5.4.Step 4

This alignment perspective is compared to the ?rm’s objectives and goals for the future.Management can now determine if these goals are in line with the perspective that will be achieved by completing the allocated projects and determine if successful completion of all the projects will move the ?rm towards its goals.If the alignment perspective favoured by the business strategy does not match the alignment perspective that will be achieved upon the projects’completion,the ?rm can re-allocate its resources to projects that affect the speci?c domains required to achieve the desired perspective,thus ensuring alignment.For example,if the organisation discussed in the paper wanted to move from technology leverage to technology exploitation (IT choices enabling business strategy)they should dedicate more resources to projects that focus on competitive advantage and repositioning through client demand,rather than operating ef?ciencies.

Initially this model is used to determine a ?rm’s existing level of alignment.Management should ?rst determine which perspective best ?ts the ?rm’s strategy.By comparing this preferred perspective to the actual perspective followed,management are

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SPIN安装及模型验证实验报告

实验报告 实验题目:基于SPIN的LTL模型检测课程名:形式化方法 姓名:王燕霞 学号:201428013229141

一、SPIN概述 SPIN是由贝尔实验室形式化方法与验证小组用ANSI C开发,可以在所有UNIX操作系统版本使用,也可以在安装了Linux、Windows95以上版本等操作系统中使用,适合于分布式并发系统,尤其是协议一致性的辅助分析检测工具。SPIN模型检验工具的基本思想是求两种自动机所接受语言的交集,若交集为空集,则安全特性得到验证,否则输出不满足安全特性的行为迹。 SPIN可以用于以下三种基础模型中: 1)作为一个模拟器,允许快速对建立的系统模型进行随意的、引导性的或交互的仿真。 2)可以作为一个详尽的分析器,严格的证明用户提出的正确性要求是否满足(使用偏序简约进行最优化检索)。 3)用于大型系统近似性证明,用SPIN可以对大型的协议系统进行有效的正确性分析,即使这个系统覆盖了最大限度的状态空间。 二、SPIN的安装 2.1安装Cygwin Cygwin是一个在windows平台上运行的类UNIX模拟环境,我们可以通过这个软件在windows 系统上模拟简单的unix环境。 (1)首先从官网https://www.sodocs.net/doc/b66912291.html,/,下载Cygwin安装包,选择64位windows系统(2)打开软件安装包setup-x86_64.exe,界面如下:

(3)选择install from Internet,下一步 (4)选择安装路径 (5)选择模拟的Unix环境在系统中的路径

(6)选择Use Internet Explorer Proxy Setting,根据自己的网络链接状态选择 (7)选择镜像,最好是选国内的,以.cn结尾或者含有.cn的,国外镜像下载速度只有几K,所以可以不用尝试。在这里我选择的是中科大的一个镜像https://www.sodocs.net/doc/b66912291.html, (8)选择要安装的包,Cygwin默认安装的东西很少,像gcc、make、X11、tcl/TK这些都没有,需要自己勾选,可以在Search中直接输入关键字进行查找。如果一次安装没有全都装上也不要紧,可以再次运行setup.exe,然后继续安装其他的包。

企业战略管理工具——五力分析模型

五力分析模型 定义 五力分析模型作为由外而内的管理工具,从五个方面分析企业结构的吸引度,即竞争力,这五个方面分别是,行业现有的竞争状况、供应商的议价能力、客户的议价能力、替代产品或服务的威胁、新进入者的威胁。 起源 五力模型是由麦克尔·波特(Michael Porter)于80年代初提出,对公司战略制定产生全球性的深远影响。五力模型应用于竞争战略的分析,可以有效的分析客户的竞争环境。演变 1996年,在麦克尔·波特的五力分析模型基础上,Intel 前总裁Andrew S. Grove提出了六力分析的概念,重新探讨并定义产业竞争的六种影响力。他认为影响产业竞争态势的因素分別是:1.現存竞争者的影响力、活力、能力;2.供应商的影响力、活力、能力;3.客戶的影响力、活力、能力;4.潛在竞争者的影响力、活力、能力;5.产品或服务的替代方式(substitution);6.“协力业者”(政府)的力量。 应用 五力模型中的五种力量确定了竞争的五种主要来源,一种可行战略的提出首先应该包括确认并评价这五种力量,不同力量的特性和重要性因行业和公司的不同而变化。 1.行业现有竞争状况 参考因素:竞争结构、产业结构成本、战略目标、退出障碍、产品差异化程度; 2.购买者的议价能力 参考因素:购买者的集中程度、产品的标准化程度、购买者的转换成本、替代品的替代程度、大批量购买的普遍性、购买者的利润率;(购买者对行业盈利性的影响表现在,购买者能够强行压低价格,或要求更高的质量或更多的服务,为达到这一点,他们可能使生产者互相竞争,或者不从任何单个生产者那里购买商品) 3.供应商的议价能力 参考因素:供应商所在行业的集中程度、供应商的品牌、供应商的利润率、供应商的转换成本、供应商前向一体化的战略意图等;(供应商影响行业竞争者的主要方式是提高价格或降低所提供产品或服务的质量) 4.替代品的威胁 参考因素:替代品的质量、替代品的价格、购买者选择替代品的转换成本;(替代品是指那些与客户产品具有相同功能的或类似功能的产品,行业中的每一个企业或多或少都必须应付替代品构成的威胁) 5、新进入者的威胁 参考因素:经销渠道的可进入性、技术支持的可能性、进入壁垒的难易程度、品牌忠实

战略咨询工具模型(1)

战略咨询工具模型 图4-14描述了战略咨询项目的总体思路。一般而言,企业战略需涉及从愿景设计到管理实施的七个阶段,将战略分解为公司战略、业务战略、职能战略三大层次。 图4-15给出了战略咨询项目的框架结构。一个标准的战略咨询项目需要从内外部环境的分析入手,在战略方案制定的过程中,将其分解成业务组合与发展、资本运营、资源整合、IT、品牌和人力资源等局部战略。

图4-16描述了战略咨询项目的详细步骤。总体来说,战略咨询分为内部能力分析、外部环境分析、战略目标制定和战略方案制定四大步骤。 图4-17展示了一个系统化的战略管理体系。在这里,战略从制定到实施的每一个环节均得以完整地体现。值得注意的是,一个科学、合理的战略管理体系必须具备完善的沟通、反馈机制,以保证战略目标准确到位的贯彻与执行。

图4-18描绘了企业进行战略决策的三个层面:既定方针、重点需做出的决策和可推迟的决策。位于这三个层面中的企业战略决策构成了一个决策阶梯。通过阶梯的形式,读者可以清晰地看到不同战略对企业而言的重要性与紧迫性程度。

图4-19给出了一张根据决策阶梯制定的战略决策表。从决策表中可以看出,企业的真实战略往往就是市场决策的有机组合。 图4-20说明,一个企业的最终战略,极有可能是各种草案的综合体。通过最大化地吸收各种方案的优势,尽可能地规避其各自的风险,保证最终实施方案的完备性与可操作性。

图4-21展现了战略从制定到实施的整体流程。从中可见,一个科学的战略需要评估者、实施者和制定者三方共同的努力,也只有从这三方角度出发而出台的战略方案,在执行的过程中,才能保证将推行的阻力降到最低,方案的成功几率也就相对较高。 图4-22说明,一个战略实施的基本思路就是要形成从实施到结果反馈的循环。 图4-23描述了战略实施的四个基本步骤。这是一个从诠释战略和规划、反馈调整、建立各级规划到交流和挂钩的过程。同样也是一个循环的过程。

十种战略模型

10个常用管理中的经典分析模型(完整版) 1、波特五种竞争力分析模型 波特的五种竞争力分析模型被广泛应用于很多行业的战略制定。波特认为在任何行业中,无论是国内还是国际,无论是提供产品还是提供服务,竞争的规则都包括在五种竞争力量内。这五种竞争力就是企业间的竞争、潜在新竞争者的进入、潜在替代品的开发、供应商的议价能力、购买者的议价能力。这五种竞争力量决定了企业的盈利能力和水平。 ?竞争对手 企业间的竞争是五种力量中最主要的一种。只有那些比竞争对手的战略更具优势的战略才可能获得成功。为此,公司必须在市场、价格、质量、产量、功能、服务、研发等方面建立自己的核心竞争优势。 影响行业内企业竞争的因素有:产业增加、固定(存储)成本/附加价值周期性生产过剩、产品差异、商标专有、转换成本、集中与平衡、信息复杂性、竞争者的多样性、公司的风险、退出壁垒等。 ?新进入者 企业必须对新的市场进入者保持足够的警惕,他们的存在将使企业做出相应的反应,而这样又不可避免地需要公司投入相应的资源。 影响潜在新竞争者进入的因素有:经济规模、专卖产品的差别、商标专有、资本需求、分销渠道、绝对成本优势、政府政策、行业内企业的预期反击等。 ?购买者 当用户分布集中、规模较大或大批量购货时,他们的议价能力将成为影响产业竞争强度的一个主要因素。 决定购买者力量的因素又:买方的集中程度相对于企业的集中程度、买方的数量、买方转换成本相对企业转换成本、买方信息、后向整合能力、替代品、克服危机的能力、价格/购买总量、产品差异、品牌专有、质量/性能影响、买方利润、决策者的激励。 ?替代产品 在很多产业,企业会与其他产业生产替代品的公司开展直接或间接的斗争。替代品的存在为产品的价格设置了上限,当产品价格超过这一上限时,用户将转向其他替代产品。 决定替代威胁的因素有:替代品的相对价格表现、转换成本、客户对替代品的使用倾向。

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战略分析模型

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