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Combinative Effects of Innovation Types and Organizational Performance-A Longitudinal Study of Servi

Combinative Effects of Innovation Types and Organizational Performance-A Longitudinal Study of Servi
Combinative Effects of Innovation Types and Organizational Performance-A Longitudinal Study of Servi

Combinative Effects of Innovation Types and

Organizational Performance:A Longitudinal Study of Service Organizations

Fariborz Damanpour,Richard M.Walker and Claudia N.Avellaneda

Rutgers University;University of Hong Kong;University of North Carolina at Charlotte

abstract Innovation research suggests that innovation types have different attributes,determinants,and effects.This study focuses on consequences of adoption of three types of innovation (service,technological process,and administrative process)in service organizations.Its main thesis is that the impact of innovation on organizational performance depends on compositions of innovation types over time.We examine this proposition by analysing

innovative activity in a panel of 428public service organizations in the UK over four years.Our ?ndings suggest that focus on adopting a speci?c type of innovation every year is

detrimental,consistency in adopting the same composition of innovation types over the years has no effect,and divergence from the industry norm in adopting innovation types could possibly be bene?cial to organizational performance.We discuss the implications of these ?ndings for theory and research on innovation types.

INTRODUCTION

The study of innovation hardly needs justi?cation as scholars,policy makers,business executives,and public administrators maintain that innovation is a primary source of economic growth,industrial change,competitive advantage,and public service (Borins,1998;Boyne et al.,2006;Christensen et al.,2004;Tidd et al.,2001).Organizations adopt innovation in response to changes in technological and managerial knowledge,industry competition,constituents’expectation,or top executives’aspiration to gain distinctive competencies and improve the level of performance.The adoption of inno-vation is a means for organizational adaptation and change to facilitate achieving the ?rm’s performance goals,especially under the conditions of intense competition,rapidly changing market,scarce resources,and customer and public demand for higher quality and better products and services (Boyne et al.,2003;Jansen et al.,2006;Roberts and Address for reprints :Fariborz Damanpour,Rutgers University,Department of Management and Global Business,111Washington Street,Newark,NJ 07102-3027,USA (damanpour@https://www.wendangku.net/doc/1b10123678.html,).?Blackwell Publishing Ltd 2009.Published by Blackwell Publishing,9600Garsington Road,Oxford,OX42DQ,UK and 350Main Street,Malden,MA 02148,USA.

Journal of Management Studies 46:4June 2009

doi:10.1111/j.1467-6486.2008.00814.x

Innovation Types and Performance651 Amit,2003).This study focuses on the consequences of the adoption of innovation in organizations and examines the innovation-performance relationship by recognizing four research needs in this body of work.

First,we distinguish between types of innovation and examine the combinative effect of adoption of innovation types on organizational performance.To help maintain and improve their performance,organizations offer new products and services to existing or new customers or clients,and introduce innovations in the organization’s production or operating systems and administrative or managerial processes(Camison-Zornoza et al., 2004;Edquist et al.,2001;Hipp et al.,2000).Theory development and empirical studies of innovation types have thus far focused on their antecedents;namely,environmental and organizational conditions that enhance or hamper the process of generation or adoption of each type(Jansen et al.,2006;Kimberly and Evanisko,1981;Tornatzky and Fleischer,1990).This study adds by developing theory and examining empirically the combinative outcomes of innovation types for organizational effectiveness or performance.

Second,historically research on innovation types has followed a technological impera-tive.It assumes that?rms mainly organize their innovation efforts through R&D activi-ties and has thus focused on a narrow de?nition of product and process innovations associated with the R&D function in manufacturing organizations(Gallouj and Weinstein,1997;Miles,2001).Studies of organizational or administrative innovations have been relatively scarce(Daft,1978;Lam,2005).The socio-technical system theory challenged the technological imperative and argued that changes in the technical(oper-ating)system of the organization should be coupled with changes in the social(admin-istrative)system in order to optimize organizational outcome(Cummings and Srivastva, 1977;Damanpour and Evan,1984;Trist and Murray,1993).We build on this perspec-tive and contribute by comparing performance consequences of innovation activity in organizations that focus primarily on introducing one innovation type or seek balance among different types.

Third,theories of innovation have been developed mainly by studying?rms in the goods industries.More recently innovation researchers have emphasized the differences in the nature of activities of manufacturing and service organizations and the importance of developing innovation models for the service industries(Barras,1990;Gallouj and Weinstein,1997;Miles,2001).Whereas innovations in the manufacturing sector follow a technological trajectory,innovations in the service sector do not;therefore,the pre-vailing logic of the generation of innovations in manufacturing organizations cannot be used to explain the adoption of innovations in service organizations.We develop hypoth-eses on the impact of innovation activity on organizational performance for service organizations and test them with a sample of public service organizations,a category of service organizations that has experienced fundamental changes over recent decades. The global New Public Management(NPM)movement questioned public organizations’functioning and performance and championed the belief that they had become too costly and self-serving and should be transformed based on market mechanisms and private-sector techniques in order to become effective(Boyne et al.,2003;Osborne and Gaebler, 1992;Pollitt and Bouckeart,2004).Consequently,public service organizations sought to develop innovative capacity and use innovation to achieve higher levels of organizational

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performance (Borins,1998;Light,1998;Walker,2006),making them a fertile setting for the study of in?uence of innovation on performance.

Fourth,the majority of the studies of innovation in organizations are cross-sectional.Scholars emphasize the importance of longitudinal studies in understanding the man-agement of innovation in organizations (Pettigrew,1990;Van de Ven and Huber,1990).This view is particularly applicable to this study because the innovation–performance relationship is path dependent and takes place over time.An organization’s success relates more to its history of innovation activity than to the introduction of certain new products or processes (Roberts and Amit,2003).Thus,the adoption of an innovation at a point in time,or multiple innovations of the same type over time,will not suf?ciently explain the expected impact of innovation on ?rm performance over time.We address this issue by conducting a ?ne grain longitudinal examination of the success or failure of the adoption of compositions of different types of innovation over time in public service organizations.

In summary,considering organizations as adaptive systems,and innovation as a means to facilitate adaptive changes to the environment,this study departs from prior research by proposing that:(1)innovations in service organizations do not follow a technological imperative;(2)impact of innovation on organizational performance depends on co-adoption of different innovation types rather the adoption of a single type;and (3)combinative effects of innovation types on performance can best be examined over time,not at one point in time.We develop hypotheses on compositions of adoption of three types of innovation (service,technological process,and administrative process)and organizational performance and test them by analysing innovative activity in a panel of 428public service organizations in the UK over four years.Our ?ndings vary from existing research and suggest that focus on adopting a speci?c type of innovation every year is detrimental,consistency in adopting the same composition of innovation types over the years has no effect,and divergence from the industry or organizational popu-lation norm in adopting innovation types could possibly be bene?cial to organizational performance.

THEORY

Adoption of Innovation

This study focuses on innovation at the organizational level.In this context,innovation has generally been de?ned as the development and/or use of new ideas or behaviours (Daft,1978;Walker,2006;Zaltman et al.,1973).A new idea can pertain to a new product,service,market,operational and administrative structures,processes and systems.An innovation can be considered new to the individual adopter,to an orga-nizational subunit,to the organization as a whole,or to the entire sector,industry,or organizational population.Like the majority of the studies of the adoption of innova-tion at the ?rm level,we de?ne innovation as new to the adopting organization (Bantel and Jackson,1989;Damanpour and Evan,1984;Walker,2006).Organizations inno-vate because of pressure from the external environment,such as competition,deregu-lation,isomorphism,resource scarcity,and customer demands,or because of an F.Damanpour et al.

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Innovation Types and Performance653 internal organizational choice,such as gaining distinctive competencies,reaching a higher level of aspiration,and increasing the extent and quality of services.Either way, the adoption of innovation is intended to ensure adaptive behaviour,changing the organization to maintain or improve its performance.

This view of innovation adoption was mainly in?uenced by the perspective of orga-nizations as open systems.From this perspective,performance is the ability of the organization to cope with all systematic processes relative to its goal-seeking behaviour and carry out its organization-adapting and organization-maintaining functions effec-tively(Damanpour and Gopalakrishnan,2001;Scott,1992).Thus,organizations are viewed as adaptive systems that introduce change in order to function effectively.Many theories of organizations are grounded on the open system perspective.For example,the resource dependence theory(Pfeffer and Salancik,2003)emphasizes‘managerial choice’in the organization–environment interactions in responding to the key environmental constraints such as scarcity of resources,and demands of clients,suppliers and creditors. To manage environmental dependencies and gain critical resources,organizational leaders would be motivated to change internal processes and offer new products or services to establish and maintain linkages with customers or the government that provide these resources.The resource-based view(RBV)of organizations,on the other hand,focuses on the heterogeneity of resources and capabilities across the organization and points out the importance of rare,valuable,non-substitutable and inimitable orga-nizational resources in developing distinctive competencies for organizational effective-ness(Barney,1991;Bryson et al.,2007).It suggests that complementary resources and capabilities would help an organization capitalize on innovation(Christmann,2000), increasing the positive in?uence of innovation on organizational conduct and outcome. The implication of these theories for this study is that combinative adoption of different types of innovations in different parts of the organization would increase the organiza-tion’s capacity for adaptive change.We therefore assume that organizations adapt to the competitive and/or institutional pressures from the external environment by adopting compositions of new services and internal practices to attain and maintain distinctive competencies that help them to perform continuously well.

Types of Innovation

Innovation research has distinguished between innovation types because they have different characteristics and their adoptions are not affected identically by environmental and organizational factors(Jansen et al.,2006;Kimberly and Evanisko,1981;Light, 1998).Prior research also suggests that the process of generation of different innovation types at the industry level,and their adoption at the organizational level,is not similar (Abernathy and Utterback,1978;Daft,1978;Tornatzky and Fleischer,1990). Innovation researchers have introduced many conceptual typologies of innovation. For instance,Zaltman et al.(1973,p.31)identi?ed approximately20innovation types grouped in terms of the state of the organization,and the focus and outcome of innovation.The variety of innovation types notwithstanding,the best known and most widely studied typology of innovation is the distinction between product and process innovations(Abernathy and Utterback,1978;Kotabe and Murray,1990;Light,1998).

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Another widely recognized but less researched typology is the distinction between tech-nological (also called ‘technical’)and administrative (also called ‘organizational’and ‘management’)innovations (Birkinshaw et al.,2008;Kimberly and Evanisko,1981;Lam,2005).

Edquist and colleagues (Edquist et al.,2001;Meeus and Edquist,2006,p.24)juxta-posed these two established typologies and offered a taxonomy that distinguishes between two types of product innovations (‘in goods’and ‘in services’)and two types of process innovations (‘technological’and ‘organizational’).Hamel (2006)distinguished between two types of process innovation that resemble Meeus and Edquist’s distinction:innovations in operational processes (such as customer services,logistics,and procure-ment)and innovations in management processes (such as strategic planning,project management,and employee assessment).From Meeus and Edquist’s (2006)four inno-vation types,we employ three that are applicable to service organizations:service innovations,technological process innovations,and administrative process innovations.Service innovations.Barras (1986)de?nes a product as a good or service offered to the customer or client.Innovation research has not generally distinguished between product and service innovations;that is,services offered by organizations in the service sector are conceptualized to be similar to products introduced by organizations in the manufac-turing sector (Miles,2001;Sirilli and Evangelista,1998).This view has been prevalent because product and service innovations have external focus,are primarily market driven,and their introduction results in differentiation of the organization’s output for its customers or clients (Abernathy and Utterback,1978;Damanpour and Gopalakrishnan,2001).Hence,like product innovations,the drivers of service innovations are mainly clients’demand for new services and executives’desire to create new services for existing markets or ?nd new market niches for exiting services (Matthews and Shulman,2005;Osborne,1998).Given the focus on meeting client needs in the service sector,the nature of service innovation is best understood through its relationship to service user.Thus,we de?ne service innovations as the introduction of new services to the existing or new clients and offer of existing services to new clients.

Process innovations.Contrary to product or service innovations,process innovations have an internal focus and aim to increase ef?ciency and effectiveness of the internal organi-zational processes to facilitate the production and delivery of goods or services to the customers (Abernathy and Utterback,1978;Boer and During,2001).The new processes can be associated with the ‘technological core’or the ‘technical system’of the organi-zation (technological process innovations)or to the ‘administrative core’or the ‘social system’of the organization (administrative process innovations)(Daft,1978;Damanpour and Evan,1984;Meeus and Edquist,2006).

Technological process innovations are new elements introduced into an organization’s production system or service operation for producing its products or rendering its services to the clients (Abernathy and Utterback,1978;Damanpour and Gopalakrish-nan,2001).The drivers of these innovations are primarily reduction in delivery time,increase in operational ?exibility,and lowering of production costs (Boer and During,2001).Technological process innovations,therefore,modify the organization’s operating F.Damanpour et al.

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Innovation Types and Performance655 processes and systems(Meeus and Edquist,2006).In service organizations,these inno-vations are primarily innovations associated with information technology(Barras,1990; Miles,2001;Uchupalanan,2000).For parsimony,from now on we refer to this inno-vation type as‘technological innovation’.

Administrative process innovations are new approaches and practices to motivate and reward organizational members,devise strategy and structure of tasks and units,and modify the organization’s management processes(Birkinshaw et al.,2008;Daft,1978; Light,1998).Whereas technological innovations are directly related to the primary work activity of the organization and mainly produce changes in its operating systems,admin-istrative innovations are indirectly related to the organization’s basic work activity and mainly affect its management systems(Damanpour and Evan,1984).Administrative process innovations pertain to changes in the organization’s structure and processes, administrative systems,knowledge used in performing the work of management,and managerial skills that enable an organization to function and succeed by using its resources effectively.From now on we refer to this innovation type as‘administrative innovation’.

Innovation and Performance

As stated earlier,the adoption of innovation is a means towards organizational change. Opportunities,threats,and changes in the environment motivate organizations seek adaptive change.Hence,by adopting innovations over time organizations intend to adjust their external and internal functions so that they could respond to environmental demands,operate ef?ciently and effectively,and maintain or improve their performance. Although innovation is risky,and its success is not guaranteed,innovation researchers have posited that it affects?rm’s performance positively based on two theoretical argu-ments.First,organizations innovate to gain?rst or early mover advantage that would deliver superior performance(Lieberman and Montgomery,1988;Roberts and Amit, 2003).For example,Zajac et al.(2000)found that performance implications of insuf?-cient change are worse than those of excessive change.Jansen et al.(2006)found that exploratory innovations in dynamic environments,and exploitative innovations in com-petitive environments,are bene?cial to the innovative unit’s?nancial performance.In general,engaging in innovation activity enables?rst and early mover organizations to be aware of the latest developments,absorb new and related knowledge,and increases their chances of bene?ting from innovation activities over time(Cohen and Levinthal,1990; Roberts and Amit,2003).

Second,performance gap–the difference between what an organization is actually accomplishing and what it can potentially accomplish–creates a need for change in the organization which would in turn provide motivation to adopt innovations in order to reduce the perceived gap(Zaltman et al.,1973).Contrary to the?rst mover advantage that has mainly been applied to for-pro?t organizations,the performance gap theory of innovation is applicable to all organizations whether for-pro?t,public,service or manu-facturing.Its logic does not only encompass introducing change in low-performance organizations;senior managers or administrators of high-performance organizations may also introduce major changes when they foresee impending environmental

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pressures that may compromise their organization’s ability to be effective,or perceive attractive new opportunities that can be seized or new products and services that can contribute to performance (Wischnevsky and Damanpour,2006).

A quantitative review of the ?ndings of 30empirical studies from 1984to 2003showed that innovation in?uences performance positively (Walker,2004).The studies used in this review,however,were predominately cross-sectional and did not examine cumula-tive consequences of the adoption of different types of innovation over time.We propose that when the external resources are limited yet organizations face constantly changing environmental conditions to improve the quality and delivery of their services,they would rely on their internal resources to innovate (Pablo et al.,2007).The internal focus requires that different parts of the organization innovate,resulting in the adoption of different types of innovation.The adoption of each type may contribute to a certain aspect of the organization’s sustained performance;however,when cumulated over time,the overall adoption of different types across the organization would more fully change the organization towards achieving its performance goals.Similar to RBV that empha-sizes the role of bundles of rare and unique resources to reduce cost,create differentiation and gain competitive advantage (Barney,1991),the adoption of sets of innovation types over time would provide the organization with required capabilities and distinctive competencies to continually outperform other organizations in its population.

Hypothesis 1:The greater the cumulative adoption of innovation types over time,the better an organization’s performance.

Combinative Effects of Innovation Types on Performance

Scholars have advanced that superior and sustained organizational performance root in a ?rm’s ability to introduce streams of innovations (He and Wong,2004;Tushman and O’Reilly,1996).As stated earlier,however,most empirical studies of the innovation–performance relationship have been cross sectional,based on a single innovation type.Moreover,because the primarily goal of research on innovation types has been to address the problem of inconsistent results in determining characteristics of innovative organizations,most empirical studies have focused on developing contingency theories to differentiate the factors that predict each type (Bantel and Jackson,1989;Fritsch and Meschede,2001).To the best of our knowledge,with one exception (Roberts and Amit,2003),combinative effects of the adoption of different innovation types over time on ?rm performance has not been examined.

Roberts and Amit (2003)argued that performance does not result from stand-alone innovations,but from composition of effects of several types.They examined three compositions (focus,commitment,and divergence)of three innovation types (product,process,and distribution)in Australian retail banking organizations.In this study,the type of organizations (public service),the types of innovation (service,technological,and administrative),and theoretical justi?cations of the innovation–performance relationship (details below)differ from Roberts and Amit’s pioneering study.However,on the assumption that similarity in terms of de?nition of constructs and their operationaliza-tion would help the advancement of knowledge and theoretical progress of the ?eld (Bell F.Damanpour et al.

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Innovation Types and Performance657 et al.,2006;Tsang and Kwan,1999),we have adopted Roberts and Amit’s conceptu-alization and operationalization of three composite innovation variables.As variations in the industry or organizational populations are likely to suggest different conclusions,we expect that using the same measures facilitate comparison of the results of the two studies,contributing to a more general understanding of the association between inno-vation activity and performance over time.

Focus in adopting a speci?c innovation type.Two views can be offered on how focus on adopting a speci?c type of innovation over time would in?uence?rm performance.The ?rst view is driven from the literature on absorptive capacity.Cohen and Levinthal (1990)argue that organizations add new knowledge by building upon their previous knowledge.Prior experience with a speci?c innovation type will support further appli-cation of the same body of knowledge,as organizations tend to rely on knowledge in areas where they had success(Cohen and Levinthal,1990).Therefore,organizations tend to focus on adopting one innovation type because they possess knowledge in that type and can thus more easily integrate new knowledge and create new opportunities to gain performance advantage from it(Roberts and Amit,2003).

We adopt an alternative view for several reasons.First,the logic that focus on a speci?c innovation type positively in?uences?rm performance has been derived from the evolutionary models of technological change at the industry or product class level (Abernathy and Utterback,1978;Anderson and Tushman,1991)and applies to the production of goods that embody a new technology(Barras,1990;Gallouj and Weinstein,1997;Miles,2001).The patterns of adoption of innovation types in the service industries differ.The most prominent model re?ecting the evolution of innova-tion types in the service or user industries is known as‘reverse product cycle’model (Barras,1986).It advances that in the?rst phase,service organizations use the adopted technology to increase the ef?ciency of existing services(incremental process innova-tions);in the second phase,the technology is applied to improving the quality and effectiveness of the services(radical process innovations);and in the third phase,it assists in generating wholly transformed or new services(Barras,1986,1990).Second,the evolutionary models of technological change focus on the process of generation of technological innovations at the industry level,which is different from the process of adoption of service or administrative innovations at the organizational level.Third, innovations in service organizations are primarily incremental because services are often consumed at their point of production,making major departure from existing services unlikely(Miles,2001;Normann,1991).Radical innovations require reliance on more external knowledge and recombination of more specialized information than incremen-tal innovations;hence,transformation and assimilation barriers that may motivate the organization to focus on a speci?c type of radical innovation are not central to decisions to adopt incremental innovations.

According to this alternative view,therefore,the rationale that because of time and resource limitations organizations bene?t from focusing their innovation activity on one type(Roberts and Amit,2003)is not applicable to service organizations.Because inno-vations are mainly incremental,organizations rely primarily on their internal expertise and coordinated actions of different parts and functions to innovate(Pablo et al.,2007).

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Organizations may bene?t more from learning to innovate in all areas than focusing on acquiring knowledge in one because innovating across organizational units could in?u-ence exchanges with clients,customers and other key constituencies,enable managers to choose strategies to manage resource dependencies with the external units,and maintain the ?ow of resources to the organization to ensure adaptive behaviour (Pfeffer and Salancik,2003;Scott,1992).Therefore,instead of focusing on a speci?c type of inno-vation,service organizations have incentive to introduce different types of innovation with a more balanced rate simultaneously (Damanpour and Gopalakrishnan,2001;Light,1998;Walker,2006).The synergy from innovating across types affects the orga-nization’s ability to introduce and deliver services to its clients and meet its multiple goals more than focus in adopting one type.This view of the adoption of innovation types assumes that strong interdependencies among internal organizational attributes are fundamental to achieving organizational effectiveness over time (Wischnevsky and Damanpour,2006).As RBV in general and combinative capabilities and internal dynamic capabilities in particular imply (Eisenhardt and Martin,2000;Van den Bosch et al.,1999),adopting innovations of different types across the organization would ensure that the organization renews its ability to build,recon?gure,and integrate internal and external competencies to cope with environmental change and remain effective over time.

Hypothesis 2:Focus on adopting a speci?c type of innovation over time will negatively affect organizational performance.

Consistency in adopting a similar composition of different types.Innovation types have often been conceived as distinct phenomena that contribute to organizational competitiveness,growth,and performance in different ways (Damanpour and Aravind,2006).This view re?ects the dominance of the industrial organization perspective in the studies of tech-nological product and process innovations,where the homogeneity of ?rms within the industry and the role of industry characteristics in determining ?rm performance are emphasized (Cohen and Levin,1989;Tidd et al.,2001).It also associates with the evolutionary theories of technological innovations at the product class level,which suggest a lead–lag relationship in introducing product and process innovations over time (Anderson and Tushman,1991;Utterback,1994).

The RBV offers an alternative view by emphasizing the role of internal resources and the organization’s capability in integrating them for gaining distinctive competencies and sustained high performance.The application of RBV to innovation activity at the ?rm level emphasizes the complementary role of innovation types and their joint in?uence on organizational https://www.wendangku.net/doc/1b10123678.html,anizational performance is induced by the synergistic use of the organization’s internal resources (e.g.product,technological process and adminis-trative knowledge resources)leading to continuous adoption of multiple types of innovation (MacDuf?e,1995;Pablo et al.,2007;Walker,2004).This perspective of innovation types,as stated earlier,is also supported by the socio-technical systems (STS)theory.The STS theory advances that the relationship between the technical and social systems is not strictly a one-to-one relationship;rather it is a correlative relationship representing a ‘coupling of dissimilarities’(Damanpour and Evan,1984;Scott,1992).F.Damanpour et al.

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Innovation Types and Performance659 However,any change in one organizational sub-system(e.g.as a result of adopting an innovation)sets certain constraints and requirements and necessitates a corresponding change in the other sub-system to produce positive outcomes(Cummings and Srivastva, 1977;Damanpour and Evan,1984).Overall,the view adopted in this study assumes the magnitude of performance effect is greater when the organization adopts multiple innovations to introduce system-wide rather than local changes(MacDuf?e,1995; Walker,2004).

Studies of the adoption of innovation types at the organization level provide partial evidence for balance in adopting different types of innovation.For example,a study of public libraries in the United States reported that the association between technical and administrative innovations is stronger in high-performance than in low-performance organizations(Damanpour and Evan,1984).Ettlie(1988)also found that successful manufacturing?rms adopt technological and administrative innovations simultaneously, and the congruency between the two types is especially important in hostile and com-petitive conditions.Similarly,research on the adoption of product and(technological) process innovations suggests that these innovation types are intertwined such that con-tinual improvement in one would lead to the other(Fritsch and Meschede,2001;Kotabe and Murray,1990).Product and process innovations are complementary and organiza-tions that pursue both simultaneously would derive full bene?ts and better performance (Damanpour and Aravind,2006).Roberts and Amit(2003)argued that the commitment to the same composition of innovative activity over time has a positive effect on a?rm’s ?nancial performance because‘at different times,different innovation categories may be associated with more pro?table opportunities for improvement’(p.114).Overall,as Rosenberg(1982)stated,innovation types are interdependent and can be viewed as related sets,where the introduction of one type could enhance the value of another type. Hypothesis3:Consistency in adopting a similar composition of innovation types over time will positively affect organizational performance.

Divergence from industry norm in adopting innovation types.Theoretical perspectives differ in their portrayal of the extent to which divergence from industry or organizational popu-lation norm would affect organizational transformation and performance(Wischnevsky and Damanpour,2006).For example,the institutional theory depicts that organizations mainly change to conform to industry,professional,and societal patterns(Scott,1992). From an institutional perspective,public service organizations adopt new practices in their strategy,structure and services that are associated with the New Public Manage-ment(NPM)movement in order to comply with the functional and political pressures from the external environment(Ashworth et al.,2009).The imitative nature of organi-zational change,hence,makes it unlikely that divergence from norms in adopting innovations would lead to the attainment of distinctive competencies that result in better performance(Wischnevsky and Damanpour,2006).Alternatively,rational models of organization in general,and the?rst/early mover advantage view in particular,consider innovation and change as deliberate organizational choices that seek the explicit goal of seizing an attractive opportunity,gaining new knowledge,and closing the performance gap leading to performance improvements(Lieberman and Montgomery,1988;

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Wischnevsky and Damanpour,2006).We assume that in the context of limited external resources and environmental pressure for change,senior executives and administrators regard innovation necessary for improving organizational effectiveness.Therefore,the adoption of every type of innovation would be encouraged and enhanced as innovation is perceived to be essential for achieving the performance goals (Roberts and Amit,2003;Wischnevsky and Damanpour,2006).

The external pressure due to environmental change strengthens arguments offered by the performance gap and ?rst/early mover advantage views in support of perceived positive in?uence of innovation on organizational performance.The environmental pressure alleviates legitimacy concerns,which ‘provide an incentive to engage in a pattern of innovative activity that tracks the overall industry norm’(Roberts and Amit,2003,p.114).Although consequences of innovation are dif?cult to predict and can be the result of desirable and undesirable,direct and indirect,and anticipated and unan-ticipated outcomes (Rogers,1995),the environmental pressure for organizational change,especially when external resources are limited,encourages top executives and administrators to view innovation based on its direct,desirable and anticipated outcomes and focus on its positive impact on performance.In this context,divergence from the norm by engaging in a range of innovation activities is perceived to transform the organization,enabling it to improve its services and produce desirable performance outcomes.

Hypothesis 4:Divergence from industry norm in adopting innovation types over time will positively affect organizational performance.

METHODS

Sample and Data

Local governments in England are the public service organizations we examine in this study.Following the election of the Blair Labour Government in 1997,expectations for them to do things in different ways were increased,and robust methods to measure their performance were https://www.wendangku.net/doc/1b10123678.html,ernmental expectations and the NPM movement together make the English local authorities suited for an examination of the innovation–performance relationship over time.Local authorities are elected bodies,operate in speci?c geographical areas,employ professional career staff,and receive approximately two-thirds of their income from the central government.They are multi-purpose orga-nizations and deliver services including education,social care,land-use planning,waste management,housing,leisure and culture,and welfare bene?ts.In urban areas,unitary authorities deliver all of these services;in predominately rural areas,a two-tier system prevails,with county councils administering education and social services,and district councils providing welfare and regulatory services.In this study,we do not include district councils because our dependent variable (organizational performance)is only available for the unitary and upper tier authorities.

The data come from multiple sources.For the dependent variable,the data are taken from a dataset created by the Audit Commission (2002)for the years 2002to 2005F.Damanpour et al.

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Innovation Types and Performance661 (details below).The Audit Commission acts on behalf of central government and is therefore an important external stakeholder for local governments.For control variables, the data come from the2001UK census(details below).For independent variables (innovation types),the data are from a survey of the management reform regime called ‘Best Value’,conducted annually from2001to2004.In each year a representative sample of100English local authorities were surveyed and in2001and2004a census was undertaken.Hence,the data set consists of unbalanced panels as not all the authorities returned surveys in each year.The numbers of local authorities in our sample in the years2001,2002,2003,and2004are121,76,73,and136respectively.Over the four-year period,the survey provides428local authority observations with168unique cross-sectional units.

The survey was pre-tested in17local authorities(and378respondents)and conducted electronically(Enticott,2003).Questionnaires were delivered as Excel?les attached to email.They were https://www.wendangku.net/doc/1b10123678.html,rmants had eight weeks to return the?le by email. Three reminders were sent to informants who had not responded.There were no statistically signi?cant differences between late and early respondents.The survey was a multiple information survey(MIS).MIS aims to capture internal organizational variety in a compatible format(Phillips,1981;Walker and Enticott,2004)collecting data from informants from several managerial levels or‘echelons’.Aiken and Hage de?ne an echelon,or social position in an organization,as‘the level of stratum in the organization, the department or type of professional activity’(1968,p.918).Hence,in each local authority questionnaires were sent to two echelons–three corporate of?cers and seven of?cers in each of the seven service areas mentioned above.Corporate of?cers include the chief executive of?cer and corporate policy of?cers with cross-organizational responsi-bilities for service delivery and improvement.Service of?cers include chief of?cers,who are the most senior of?cer with speci?c service delivery responsibility,and service managers or front-line supervisory of?cers.For the years2001,2002,2003,and2004,the total number of corporate respondents were,respectively,312,139,156,and196,and the total number of service respondents were,respectively,1190,825,991,and860.All survey questions were in the form of a seven-point Likert scale and informants were asked to rate their authority(for corporate of?cers)or service area(for service area of?cers).[1]To calculate an organizational mean we?rst calculated a mean of corporate of?cers and a mean of service of?cers,giving equal weight to each tier;the organizational score is then derived from these two means(Aiken and Hage,1968).This procedure maintains variations across organizations and categorical data is converted to continuous data. Furthermore,data from two tiers help overcome the sample bias problem faced in surveying informants from one organizational level only(Bowman and Ambrosini,1997). Measures

Dependent variable.We measured organizational performance by the core service perfor-mance(CSP)score constructed by the Audit Commission(2002).For each of the seven service areas,the CSP score is based largely on archival performance indicators,supple-mented by the results of inspection and assessment of statuary plans(Andrews et al., 2005).The archival performance indicators cover six aspects of organizational perfor-

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mance:quantity of outputs (e.g.number of home helps for the elderly),quality of outputs (e.g.number of serious injuries on highways),ef?ciency (e.g.cost per bene?t claimed),formal effectiveness (e.g.average school passes at 16),equity (e.g.equal access to public housing),and consumer satisfaction (e.g.satisfaction with waste collection).Inspection of services draws upon internal improvement plans,?eld visits and other documentation.Statutory plans are assessed against the criteria of the service’s relevant central govern-ment department.All assessments are conducted by evaluators external to the local authority.Each service area is given a performance score by the Audit Commission from 1(lowest)to 4(highest).

After calculating the CSP score for each service area,the Audit Commission derives a score for the whole organization by weighting services to re?ect their relative impor-tance by budget (the weight for education and social services is 4,for environment health and housing is 2,and for libraries and leisure,bene?ts,and management of resources is

1).The Commission then combines these weights with the performance score (1–4)for each service area to calculate the CSP.The resulting scores range from a minimum of 15(12in the case of county councils that do not provide either housing or bene?ts)to a maximum of 60(48for county councils).To make the CSP scores comparable across all authorities we calculated the percentage of the maximum possible CSP score for the given local government.Therefore,the measure of organizational performance in this study is an aggregate measure across the key services areas of local governments and includes multiple indicators of performance for each service area.

Independent variables.The three types of innovation were measured by perceptual data from the surveys.Service innovation scale has three items (Osborne,1998),rating the extent to which the organization is providing ‘new services to new users’,‘new services to existing users’and ‘existing services to new users’(a =0.87).Technological innovation is measured by two items re?ecting the adoption of the ‘new information technology’and ‘new management information systems’(a =0.67).Administrative innovation is a three-item measure re?ecting the organization’s new approaches to ‘service planning and budget-ing’,‘improvement’(via quality management,re-engineering)and ‘management processes’(e.g.new job description,establishing new teams)(a =0.66).[2]To test mea-surement validity of the three innovation types,we conducted principal component analysis including the eight items constituting their measures.The results with varimax rotation showed three components,each one grouping the items as we expected:three items for service,two items for technological,and the three items for administrative innovations.Total innovation ,which re?ects the cumulative adoption of all innovation types,was measured by adding measures of service,technological and administrative innovations (a =0.79).

The three composite measures of innovation types over time were computed using the same mathematical formula employed by Roberts and Amit (2003,pp.115–16);however,while Roberts and Amit’s measures are accumulative over the previous ?ve years,our measures are annual.Nevertheless,the interpretation of these measures are the same as offered by Roberts and Amit (2003,p.116).When the organization’s innovative activity is evenly distributed across the three innovation types,its annual innovative focus will be 33,but as an authority’s innovative activity concentrates on a F.Damanpour et al.

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Innovation Types and Performance663 single type the value of focus will increase towards100.If a local authority’s innovative activity has been constant across the three types,the value of consistency will be zero; however,as an organization’s devotion to each innovation type becomes instable,this variable will show larger negative values.The formula for measuring consistency requires innovations adopted in the previous year;hence,for this variable we lose the year2001cases,as there are no values for the year2000innovation,leaving us with a span of three years’data.When a local authority’s innovation activity equals the total authorities’average,divergence will be zero,but as the authority’s innovative activity increases above average,this variable will have a larger positive number.

Control variables.We controlled for four variables,two of which are expected to enhance organizational performance(organizational size and urbanization)and two to constrain performance(service need and service diversity).These variables re?ect both internal and external controls and have been used in past studies of public organizations (Andrews et al.,2005;Pettigrew et al.,1992).These four control measures were logged to reduce the problem of skewed distribution.We also included three dummies for the years2001–03(2004is the baseline)in all the models to adjust for potentially signi?cant year effects and obviate biased estimation.

Organizational size was operationalized by the size of the population of the local author-ity.This measure was selected because data on the number of employees,the commonly used measure of organizational size,vary with the level of contracting out the services and also because larger populations require larger organizations to deliver the requisite level of service.Urban authorities are likely to achieve higher levels of organizational performance because they are not operating across large geographical areas,their citizens and users are more readily accessible and communication is easier(Aiken and Alford,1970).We measured urbanization by the average population density within each local authority.This captures the differences between highly urban city authorities,from those with mixed urban and rural areas to those with predominately rural authorities. Both measures were derived from the2001UK census(UK Of?ce for National Statistics, 2003).

Service need was measured by the Average Ward Score from the Index of Multiple Deprivation(UK Department of the Environment,Transport and the Regions,2000), which provides an overview of the different domains of deprivation(e.g.income,employ-ment and health)and is the standard population-weighted measure of deprivation employed by the central government in England.Service diversity was measured by a Her?ndahl–Hirschman Index,squaring the proportion of each ethnic group(taken from the2001census,UK Of?ce for National Statistics,2003)within a local authority and then subtracting the sum of the squares of these proportions from10,000.This measure gives a proxy for‘fractionalization’within a local authority area,with a high level of ethnic diversity re?ected in a high score on the index.Higher levels of service need and service delivery make the task of achieving higher levels of organizational performance more demanding because opportunities for co-production of services are reduced.More-over,as the range of service users becomes more varied it becomes harder to determine the relative needs of different groups and to provide standardized services that meet their requirements(Andrews et al.,2005).

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Analysis We analysed cross-organizations pooled time series data,which holds the potential for three methodological problems (Beck and Katz,1995;Harrinvirta and Mattila,2001).First,the error terms may differ from organization to organization,generating panel heteroscedasticity.Second,the errors across panels might be time correlated;that is,an organization’s errors at a year might be correlated with another organization’s errors at the same year.Finally,there may be within panel autocorrelation,as there is in any time series (Harrinvirta and Mattila,2001).Therefore,we report random effects estimations with Huber–White standard errors for several reasons.First,random-effects estimation ?ts cross-sectional time-series regression models by using the GLS estimator.Second,by using this estimation (STATA’s xtreg command with the ‘robust’option),we correct for heteroscedasticity across panels.Third,the random-effects estimation assumes that inter-cepts and/or slopes vary randomly across units (local authorities in our case)while the ?xed-effects estimator takes account of the fact that intercepts and/or slopes vary across units.Plots of the dependent variable for each local authority over time,however,suggest relatively parallel intercepts across them,justifying the selection of the random-effects estimation.Fourth,unlike the ?xed-effects regression,the random-effects estimation allows the inclusion of time invariant variables,thus permitting us to include our four control variables,which do not vary across time but whose inclusion is theoretically justi?able.Fifth,the inclusion of year dummies in each model reduces the potential problems for within panel autocorrelation.Finally,when we calculated panel-corrected standard error estimates (STATA’s xtpcse command),which assume that the distur-bances are heteroscedastic and contemporaneously correlated across panels,we found similar results.

RESULTS

Descriptive statistics and correlations for all variables are shown in Table I.Two pairwise correlations report high values (r >0.70)and statistical signi?cance at the 0.05level.The composite measures of focus and divergence are correlated (r =0.71),which theoretically makes sense because as a local authority’s innovative activity becomes more focused on a single innovation type,the more divergent it is going to be from all authorities’annual proportion average.In addition,urbanization is correlated with service diversity (r =0.71).Service diversity is operationalized with ethnic diversity;therefore,the larger the population density,the more ethnic diversity.Although high correlations usually point to potential multicollinearity problems,this is not a concern here because the mean variance in?ation factors (VIF)for regression models range between 1.80and 2.01,showing no signi?cant multicollinearity.

Table II reports the random-effects estimates for the in?uences of innovation on organizational performance for three accumulative models.Model 1includes only the control variables,Model 2adds the total innovation variable,and Model 3adds the three composite innovation variables.For each model,we ran the in?uence and leverage diagnostics to ensure no single authority in?uenced the estimations.Whereas few obser-vations were in?uential,they were isolated (not accumulated over years);therefore,we F.Damanpour et al.

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T a b l e I .D e s c r i p t i v e s t a t i s t i c s a n d c o r r e l a t i o n V a r i a b l e s M e a n s .d .123456789101112

1.

O r g a n i z a t i o n a l p e r f o r m a n c e 68.059.122.

T o t a l i n n o v a t i o n 14.381.720.13*3.F o c u s 34.040.93-0.09-0.38*4.C o n s i s t e n c y -43.8950.770.080.23*-0.26*5.D i v e r g e n c e 35.9559.880.09-0.31*0.71*-0.37*6.O r g a n i z a t i o n a l s i z e 12.080.760.10*0.27*-0.18*0.10-0.19*7.U r b a n i z a t i o n 6.511.47-0.020.18*-0.14*0.25*-0.12*0.19*8.S e r v i c e n e e d 3.060.50-0.11*0.12*-0.14*0.17*-0.12*0.10*0.38*9.

S e r v i c e d i v e r s i t y 7.150.88-0.080.11*-0.09*0.13*-0.09*0.25*0.71*0.08*10.Y e a r 20010.460.49-0.16*-0.21*0.43*–0.22*-0.30*-0.16*-0.17*-0.16*11.

Y e a r 20020.150.35-0.02-0.01-0.17*-0.26*-0.10*0.10*0.040.060.05-0.39*12.Y e a r 20030.140.350.210.10*-0.14*0.12*-0.070.09*0.030.050.04-0.38*-0.17*13.Y e a r 20040.240.420.000.17*-0.24*0.13*-0.12*0.18*0.120.10*0.10*-0.52*-0.23*-0.23**p <0.05.Innovation Types and Performance

665

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included all observations.Model 3includes only 246observations from 102panels because,as stated earlier,in computing the composite measure of consistency we lose the year 2001observations.However,we reran analysis on Models 1and 2with the 246observations from the 102panels included in Model 3,and the results report no signi?cant changes.

Model 3,the fully speci?ed model,returned a within panel R-square of 0.24,which is considerably greater than the 0.16and 0.18values reported for Models 1and 2(Table II).Model 3also reported an overall R-square of 0.12,which is slightly greater than the 0.10and 0.11values returned from Models 1and 2.The value of the between panels R-square,however,is almost similar across all the three models (0.11,0.10,0.11).We ran the Akaike Information Criterion (AIC)test to compare model speci?cations.The AIC score for Model 3(1759.54)is considerably smaller than those for Model 1(3074.11)and Model 2(3065.15),suggesting a better ?t for the data.

Model 1’s results justify the inclusion of our four control variables,as they are statistically signi?cant at the 0.05level and although not predicted,they are in the expected direction.That is,the greater the organizational size and urbanization,the better the local authority’s performance,and the greater the service need and service diversity,the lower the local authority’s performance.Results from Model 1also suggest that performances for the years 2001and 2003are statistically different from year 2004–the baseline or comparison category.

Table II.The random-effects estimates for the in?uence of innovation types on organizational performance a Variable

Model 1Model 2Model 3Constant

62.86(11.82)**57.72(12.09)**195.77(72.72)**Total innovation

0.59(0.25)*0.99(0.38)**Focus

-4.32(2.13)*Consistency

-0.00(0.01)Divergence

0.05(0.03)?Organizational size

1.92(0.86)* 1.62(0.88)? 1.22(1.01)Urbanization

1.74(0.75)* 1.53(0.76)* 1.73(0.93)?Service need

-3.96(1.46)**-3.95(1.48)**-3.76(1.81)*Service diversity

-2.50(1.08)*-2.29(1.08)*-1.94(1.41)Year 2001

-2.11(0.78)** 1.78(0.78)*–Year 2002

0.07(0.82)0.31(0.83) 1.11(1.02)Year 2003

4.09(0.80)** 4.05(0.79)** 4.71(0.89)**R-sq within

0.160.180.24R-sq between

0.110.100.11R-sq overall

0.100.110.12Number of observations

428427246Number of panels 168168

102b Notes:

a Huber–White standard errors are in parentheses.

b In computing the composite measure of consistency,we lose the year 2001observations.

?p <0.10;*p <0.05;**p <0.01.

F.Damanpour et al.

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Innovation Types and Performance667 Hypothesis1,which suggested that cumulative adoption of innovation types over time positively in?uences organizational performance,is supported as the coef?cient for total innovation is signi?cant and positive in both Model2(p<0.05)and Model3 (p<0.01).[3]This suggests that the adoption of innovation is a route to higher levels of organizational performance,irrespective of combinative effects that arise from the adop-tion of certain compositions of innovation types.Hypothesis2,which stated that focusing on a speci?c type of innovation over time has negative impact on organizational perfor-mance,was also supported(p<0.05,Model3).This result con?rms our contention that service organizations innovate incrementally and gain the greatest performance bene?ts from a balanced approach to the adoption of innovation types rather than emphasizing the adoption of a speci?c type over time.Hypothesis3was not supported as the coef?cient for consistency is not statistically signi?cant(p>0.05).Thus,our data do not ?nd evidence that the adoption of the same composition of innovation types over time positively affects organizational performance.Hypothesis4,which proposed that diver-gence from industry norm in adopting innovation types positively impacts performance, was supported albeit weakly.Results from Model3reveal that the coef?cient for divergence is positive and statistically signi?cant at the0.10level.

DISCUSSION

This study examined the consequences of adoption of innovation types over time and found support for the positive effect of innovation on organizational performance(Model 2).The addition of the three composite measures of innovation types in Model3 increased the?t of the data markedly,indicating that the positive effect of innovation on performance can be enhanced by the compositions of innovation types.Despite using the same composite measures,our results differed from Roberts and Amit’s(2003)?ndings of innovation activity in the banking industry,illustrating inter-industry differences in the adoption of innovation types and their consequences for organizational performance. Below we?rst discuss the possible role of industry context and then discuss the implica-tions of our?ndings for research on the innovation–performance relationship in orga-nizations.

Adoption of Innovation Types in Service Organizations

Scholars have acknowledged that?rms in different industries differ in terms of the degree to which they engage in innovative activity(Cohen and Levin,1989;Tidd et al.,2001). However,studies of inter-industry differences of innovation have mainly focused on the development of technological innovations in manufacturing industries and have exam-ined differences in users’needs,sources of technology,and means of appropriating bene?ts that determine the technological trajectories(Cohen and Levin,1989;Pavitt, 1984).

The dominant model of innovation activity in the manufacturing industries is the product life cycle(PLC)model that theorizes the dynamics of product and process innovations at the industry level in three phases(Abernathy and Utterback,1978; Utterback,1994).In the PLC and other technology-driven models(e.g.technological

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change cycle model,Anderson and Tushman,1991),the innovation process begins typically with a discontinuous (radical)technological change and ends with a period of stability and continuous (incremental)change.Neither theoretical arguments nor ?nd-ings from these models are necessarily applicable to innovation activity in the service or user industries (e.g.Barras,1990;Gallouj and Weinstein,1997).In these industries,organizations usually adopt products or technologies developed in goods industries and the innovation cycle operates in the opposite direction of the PLC (Barras,1986).Subsequent research on innovation in service industries,however,points out that like product and technology life cycle models,Barras’reverse product cycle (RPC)model focuses on technology-based innovations as the primary source of innovation activity in services (Miles,2001;Uchupalanan,2000).According to these authors,whereas RPC may apply to information-intensive services (e.g.banking,insurance,accounting)that are affected mostly by the adoption of information technologies (IT),it is not necessarily applicable to service organizations for which the evolution of IT is not central (e.g.retail,legal and lobbying services,local governments,consultancy).Therefore,more ?ne grain distinction between types of service organizations is necessary for a better understanding of innovation activity in the service industries.

Both PLC and RPC models mainly associate with the dynamics of innovation activity at the industry,sector,or product class level.Nevertheless,previous studies of innova-tion types at the organization level have used the logic of these models to examine the adoption of innovation types in organizations.For instance,Damanpour and Gopalakrishnan (2001)relied on the PLC and RPC models and tested the lead–lag associations between of the adoption of product and process innovations in US banks.Roberts and Amit (2003)used the logic of the PLC model and absorptive capacity for transformation and assimilation of external technological knowledge in examining the relationship between innovation activity and performance of Australian banks.

We differed from these previous studies in three ways.First,we posited that models of dynamics of the adoption of innovation types in the service sector are not identical to those in the goods sector.Second,the logic of the models based on technological imperative,technological trajectories,and absorptive capacity of technological knowledge are not applicable to innovation activity in service organizations.For example,whether the introduction of service innovations lead (PLC model)or lag (RPC model)technological or administrative innovations may not be as crucial as how a balance in the rate of introduction of both can produce desirable outcomes.Our ?nding regarding the negative impact of focus on adopting a speci?c type of innovation on organizational performance exempli?es this point.Third,contrary to prior research that emphasized change in the technical system of the organization and neglected change in the social system,we included administrative innovations in the portfolio of innovation types because in effective organizations the technical and social systems operate in balance;that is,the adoption of technological and administrative innovations are equally important.

Evangelista (2000,p.184)observed that innovation research has a ‘long way from having a satisfactory picture of the extent,role and nature of innovative activities in the service sector’.The distinction between innovation types in the service sector can be more problematic than the manufacturing sector because of certain peculiar features of service activities,such as intangibility,simultaneous production and consumption,F.Damanpour et al.

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Innovation Types and Performance669 limited appropriability,and variability in customization and outcome(Evangelista,2000; Sirilli and Evangelista,1998).Therefore,juxtaposing service industry differences and innovation types and exploring the interaction between them can be a promising area for future innovation research.More speci?cally,we recommend additional longitudinal analysis of compositions of innovation types and their combinative effects on organiza-tional outcome in various service industries,especially those that extend the product–process typology and include management innovations(Birkinshaw et al.,2008). Innovation Types and Organizational Performance

Roberts and Amit’s(2003)study of innovation in banking organizations was the?rst to show the impact of compositions of innovation types on organizational performance over time.We examined the combinative effects of a different set of innovation types on performance in another type of service organization.Our study differs from Roberts and Amit’s study as it derives its theoretical arguments in advancing the hypotheses from an alternative view more suitable to the adoption of innovation in service organizations and reports hierarchical models to distinguish the impact of combinative effects(Model3) from cumulative effects(Model2)of innovation types.By?nding that the addition of three composite measures of innovation substantially increases the?t of Model3over Model2,this study adds to the Roberts and Amit’s(2003)pioneering study by teasing out unique bene?cial effects of the composite measures of innovation types on organizational performance.

An important?nding of this study is the negative association between focus on adopting a speci?c type of innovation over time and performance.In attaining knowl-edge and developing innovative capabilities,organizations may choose between‘focus’in adopting one type or‘breath’in adopting several types.The majority of researchers have adopted the absorptive capacity argument assuming that because:(1)accumulating deep knowledge in multiple areas is unlikely and thin knowledge would not lead to developing distinctive competencies,and(2)prior experience in the technological knowl-edge and relatedness of the?rm’s existing knowledge to the new knowledge are neces-sary,organizations tend to focus their innovation activity on one type only(Cohen and Levinthal,1990;Grant and Baden-Fuller,2004;Van den Bosch et al.,1999).Roberts and Amit(2003,p.117)applied this logic in the banking industry but their data did not con?rm their hypothesis of positive association between focus and?rm performance as the regression coef?cient for focus was not statistically signi?cant(p>0.10).We pro-posed that this logic mainly applies to the generation of technological innovations in the R&D units of organizations and is not suitable to explain the adoption of incremental innovation in services organizations.In service organizations,therefore,adopting inno-vation of different types associated with different parts(e.g.IT innovations for back-of?ce operations and HR innovations in the administrative core)could have more positive consequences than continually focusing on one type.

Cross-sectional studies of pairs of innovation types have consistently shown statistically signi?cant correlations between adoption rates(Bantel and Jackson,1989;Jansen et al., 2006;Kimberly and Evanisko,1981).He and Wong(2004)found that while interactions between two types of innovation(exploratory and exploitative)positively affect?rm

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新东方英语六级作文万能模板和常用句型

英语六级作文万能模板和常用句型 段首句 1. 关于……人们有不同的观点。一些人认为…… There are different opinions among people as to ____ .Some people suggest that ____. 2. 俗话说(常言道)……,它是我们前辈的经历,但是,即使在今天,它在许多场合仍然适用。 There is an old saying______. It"s the experience of our forefathers,however,it is correct in many cases even today. 3. 现在,……,它们给我们的日常生活带来了许多危害。首先,……;其次,……。更为糟糕的是……。 Today, ____, which have brought a lot of harms in our daily life. First, ____ Second,____. What makes things worse is that______. 4. 现在,……很普遍,许多人喜欢……,因为……,另外(而且)……。

Nowadays,it is common to ______. Many people like ______ because ______. Besides,______. 5. 任何事物都是有两面性,……也不例外。它既有有利的一面,也有不利的一面。 Everything has two sides and ______ is not an exception,it has both advantages and disadvantages. 6. 关于……人们的观点各不相同,一些人认为(说)……,在他们看来,…… People’s opinions about ______ vary from person to person. Some people say that them,_____. 7. 人类正面临着一个严重的问题……,这个问题变得越来越严重。 Man is now facing a big problem ______ which is becoming more and more serious. 8. ……已成为人的关注的热门话题,特别是在年青人当中,将引发激烈的辩论。 ______ has become a hot topic among people,especially among the young

很经典的四六级英语作文万能句

英语作文万能句子精选 (一)段首句 1. 关于……人们有不同的观点。一些人认为…… There are different opinions among people as to ____ .Some people suggest that ____. 2. 俗话说(常言道)……,它是我们前辈的经历,但是,即使在今天,它在许多场合仍然适用。 There is an old saying______. It"s the experience of our forefathers,however,it is correc t in many cases even today. 3. 现在,……,它们给我们的日常生活带来了许多危害。首先,……;其次,……。更为糟糕的是……。 · 4. 现在,……很普遍,许多人喜欢……,因为……,另外(而且)……。 Nowadays,it is common to ______. Many people like ______ because ______. Besides,_ _____. 5. 任何事物都是有两面性,……也不例外。它既有有利的一面,也有不利的一面。 Everything has two sides and ______ is not an exception,it has both advantages and disa dvantages. 6. 关于……人们的观点各不相同,一些人认为(说)……,在他们看来,…… People’s opinions about ______ vary from person to person. Some people say that ______. To them,_____. 7. 人类正面临着一个严重的问题……,这个问题变得越来越严重。 Man is now facing a big problem ______ which is becoming more and more serious. 8. ……已成为人的关注的热门话题,特别是在年青人当中,将引发激烈的辩论。

创新英语六级精选作文

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Topic of PresentationTitle of Presentation 八个关于在中国创新的迷思 8 innovation myths in China 马祺 尼尔森大中华区总裁 Mitch Barns The Nielsen Company

八个关于在中国创新的迷思 8 innovation myths in China 1) 中国≠创新1) China ≠Innovation 2) 在中国创新= 成功的保证2) Innovation in China = success guaranteed 3) 中国≠其他国家3) China ≠Other countries 4) 创新者> 追随者4) Innovator > Follower 5) 跨国企业= 创新者 5) Multinational company = Innovator 6) 本土企业= 追随者6) Local company = Follower 7) 本土品牌= 低端品牌7) Local brand = Mass 8) R&D研发花费= 成功8) R&D Spending = Success

迷思一:中国缺乏创新 Myth #1: China is not an innovator 2) 在中国创新= 成功的保证2) Innovation in China = success guaranteed 3) 中国≠其他国家3) China ≠Other countries 4) 创新者> 追随者4) Innovator > Follower 5) 跨国企业= 创新者5) Multinational company = Innovator 6) 本土企业= 追随 者 6) Local company = Follower 7) 本土品牌= 低端品牌7) Local brand = Mass 8) R&D研发花费= 成功8) R&D Spending = Success 1) 中国≠创新1) China ≠Innovation

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