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Tiêu đề Environmental Drivers of E-Business Strategies Among SMEs
Tác giả Harrison, D., Mykytyn, P.P., Riemenschneider, C.K., Iacovou, C.L., Benbasat, I., Dexter, A.S., Lal, K., Lee, J., Runge, J., Baek, S., Leonard-Barton, D., Long, J.S., Lucking-Reiley, D., Spulber, D.F., Malerba, F., Orsenigo, L., Mata, F.J., Fuerst, W.L., Barney, J.B., Menard, S., North, D.C., Pampel, F.C., Peteraf, M.A., Yasai-Ardekani, M., Zahedi, F.M., Porter, M., Powell, T.C., Dent-Micallef, A., Premkumar, G., Roberts, M., Riemenschneider, C.K., Harrison, D.A., Mykytn, Jr., P.P., Teece, D.J., Pisano, G., Shuen, A., Thong, Y., Yap, C., Zhu, K., Kremer, K., Xu, S.
Trường học Not Available
Chuyên ngành E-Business
Thể loại Thesis
Năm xuất bản 2003
Thành phố Not Available
Định dạng
Số trang 10
Dung lượng 203,12 KB

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Chapter 1.14 The Evolving Web Presence of SMEs: An Empirical Approach to E-Business Fernando Alonso Mendo Brunel University, UK Guy Fitzgerald Brunel University, UK ABSTRACT This chapt

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Environmental Drivers of E-Business Strategies Among SMEs

Harrison, D., Mykytyn, P.P., & Riemenschneider,

C.K (1997) Executive decisions about adoption

of information technology in small businesses:

Theory and empirical tests Information Systems

Research, 8(2), 171-195.

Iacovou, C.L., Benbasat, I., & Dexter, A.S (1995)

Electronic data interchange and small

organiza-tions: Adoption and impact of technology MIS

Quarterly, 19(4), 465-486.

Lal, K (1999) Determinants of the adoption of

information technology: A case study of

electri-FDODQGHOHFWURQLFJRRGVPDQXIDFWXULQJ¿UPVLQ

India Research Policy, 28, 667-680.

Lee, J., Runge, J., & Baek, S (2001) Adoption of

Internet technologies in small business In

Pro-

FHHGLQJVRI3DFL¿F$VLD&RQIHUHQFHRQ,QIRUPD-tion Systems (PACIS 2001), Seoul, Korea.

Leonard-Barton, D (1992) Core rigidities and

core competencies Strategic Management

Jour-nal, 13, 111-125.

Long, J.S (1997) Regression models for

cat-egorical and limited dependent variables Sage

Publications

Lucking-Reiley, D., & Spulber, D.F (2001)

Busi-ness to busiBusi-ness electronic commerce Journal of

Economic Perspectives, 15(1), 55-68.

Malerba, F., & Orsenigo, L (1997)

Technologi-cal regimes and sectoral patterns of innovative

actvities Industrial and Corporate Change, 6,

83-117

Mata, F.J., Fuerst, W.L., & Barney J.B (1995)

Information technology and sustained

competi-tive advantage: A resource-based analysis MIS

Quarterly, 19(4), 487-505

Menard, S (2002) Applied logistic regression

analysis (Rev ed) Sage Series on Quantitative

Applications in the Social Sciences Newbury

Park , CA: Sage

North, D.C (1990) Institutions, institutional

change and economic performance Cambridge,

MA: Cambridge University Press

Pampel, F.C (2000) Logistic regression A primer.

Sage Series on Quantitative Applications in the Social Sciences, 132 Newbury Park, CA: Sage Peteraf, M.A (1993) The cornerstones of

competi-tive advantage: A resource-based view Strategic

Management Journal, 14, 179-192.

3ÀXJKRHIW.$5DPDPXUWK\.6RR¿(6 Yasai-Ardekani, M., & Zahedi, F.M (2003) Multiple conceptualizations of small business

:HEXVHDQGEHQH¿WDecision Sciences, 34(3),

467-513

Porter, M (1980) Competitive strategy New

York: Free Press

Powell, T.C., & Dent-Micallef, A (1997) Infor-mation technology as competitive advantage: The role of human, business, and technology resources

Strategic Management Journal, 18(5), 375-405.

Premkumar, G., & Roberts, M (1999) Adoption

of new information technologies in rural small

businesses Omega, International Journal of

Management Science, 27, 467-484.

Riemenschneider, C.K., Harrison, D.A., & Mykytn, Jr., P.P (2003) Understanding IT adop-tion decisions in small business: Integrating

current theories Information & Management,

40(4), 269-285.

Teece, D.J., Pisano, G., & Shuen, A (1997) Dy-namic capabilities and strategic management

Strategic Management Journal, 18(7), 509-533.

Thong, Y., & Yap, C (1995) CEO characteristics, organizational characteristics and information

technology adoption in small businesses Omega,

International Journal of Management Science,

23, 429-442

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Environmental Drivers of E-Business Strategies Among SMEs

Zhu K., Kremer, K., & Xu S (2003) Electronic

EXVLQHVVDGRSWLRQE\(XURSHDQ¿UPV$FURVV

country assessment of the facilitators and

inhibi-tors European Journal of Information System,

12, 251-268.

KEY TERMS

E-Business: An umbrella term referring to a

wide variety of Internet-based management

solu-tions, like a Web site, an e-commerce platform, or

a customer relationship management system

Web site: An organization’s presence or an

individual’s presence on the World Wide Web

It is a structured collection of multimedia pages

linked to each other and very often to pages on

other Web sites (hyperlinks) A Web site is hosted

on a server computer and, to qualify as a Web

site, the server must be available on the Internet

24 hours a day

E-Commerce: According to the American

Marketing Association (AMA), an e-commerce

strategy incorporates various elements of the

marketing mix to drive users to a Web site for the

purpose of purchasing a product or service

E-Procurement: A structured information

system adopted by some organizations for making

business-to-business purchases over the

Inter-net Such a system can connect companies and

their business processes directly with suppliers

while managing all interactions between them

E-procurement is also referred to as supplier

exchange.

Customer Relationship Management

(CRM) System: a system combining database

and computer technology with customer service

to manage at best the relationships with clients

Automated CRM processes are often used to

generate automatic personalized marketing

ac-tions based on the customer information stored

in the system

Telework: According to the European

Com-mission, telework occurs when information and communications technologies (ICTs) are applied

to enable work to be done at a distance from the place where the work results are needed or where the work would conventionally have been done

Institutional Pressures: According to the

Institutional Theory, institutions work as forces upon individuals and organizations by creating social pressures and restrictions, setting bound-aries for what is accepted and what is not Such DQ LQÀXHQFH FDQ EH LQ WKH IRUP RI QRUPDWLYH coercive, and mimetic pressures (Davidsson,

Hunter, & Klofsten, 2006) Normative pressures

consist of social pressures on organizations and

its members to conform to certain norms

Co-ercive pressures are often thought of as formal

institutions of regulations or laws but can also

be informal expectations on organizations (e.g., technical standards imposed by someone exerting power over another actor, as in a

parent-subsid-iary relationship) Mimetic pressures represent

demands towards imitation of other organizations

to cope with uncertainty

ENDNOTES

1 A leading position for a SME, here, may DOVRUHIHUWRDVSHFL¿FVHJPHQWRUQLFKHRI the market

2 The likelihood ratio test on the entire model LVKLJKO\VLJQL¿FDQWWKHLQGHSHQGHQWYDUL-DEOHVWRJHWKHUGRKDYHDVLJQL¿FDQWHIIHFW

on the e-business intensity among SME With regard to the Nagelkerke pseudo R-square measure, it indicates a satisfactory level above the threshold value of 0.10 Also, the model is able to correctly classify 49.5%

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Environmental Drivers of E-Business Strategies Among SMEs

of the cases This is an increase of 13.5%

compared to its baseline: also in this case,

a lift above 10% is largely considered as satisfactory

This work was previously published in Handbook of Research on Global Diffusion of Broadband Data Transmission, edited by

Y Dwivedi, A Papazafeiropoulou, & J Choudrie, pp 493-503, copyright 2008 by Information Science Reference (an imprint

of IGI Global).

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Copyright © 2009, IGI Global, distributing in print or electronic forms without written permission of IGI Global is prohibited.

Chapter 1.14

The Evolving Web Presence

of SMEs:

An Empirical Approach to

E-Business

Fernando Alonso Mendo

Brunel University, UK

Guy Fitzgerald

Brunel University, UK

ABSTRACT

This chapter reviews current approaches to the

study of the progression of small- and

medium-sized enterprises (SMEs) in their use of Internet

technologies It is argued that a research

frame-work that combines three different dimensions

of organisational change (process, content, and

drivers) offers an alternative approach to

e-com-merce stage models in understanding the

evolu-tion of SMEs Web sites over time Furthermore,

a study of 192 Web sites and their evolution

over ten moths is described to demonstrate the

relevance and applicability of the dimensions of

the framework The study describes the different

approaches (monitoring, content analysis, and

telephone interviews) and the characteristics

of changes on these Web sites The proposed framework is argued to be useful to academics, providing multiple perspectives enabling more insightful study of SMEs e-business adoption and progression, and avoiding breakdown, a priori theory, for example, stage models The framework is also argued to be useful for SME managers seeking to make the most of their limited resources in this context

INTRODUCTION

The majority of SMEs in the UK have already established a Web presence (DTI, 2003) Firms have numerous reasons for establishing a Web SUHVHQFHDQGWKHVHUHDVRQVLQÀXHQFHWKHGHVLJQ

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The Evolving Web Presence of SMEs

and implementation of their Web sites Carrying

out online sales and other business transactions

is seldom the main reason for establishing a

site, which can be used to achieve a variety of

purposes (McNaughton, 2001) For example,

60(VDUH¿QGLQJDSUHVHQFHRQWKH:HEWREH

important for enhancing their corporate image,

increasing brand/product awareness, providing

customer service, discovering new business

op-portunities, and information gathering (Chau,

2003; Gribbins & King, 2004; Levy & Powell,

2003) &RPPHUFLDO:HEVLWHVLQÀXHQFHSRWHQWLDO

FXVWRPHUV¶LPSUHVVLRQVRI¿UPV¶OHJLWLPDF\LQ-novation and caring (Winter, Saunders, & Hart,

2003) Thus, customers may have different views

RID¿UPGHSHQGLQJRQWKH:HEIHDWXUHVRUFRQWHQW

available (e.g., design, business policies, security)

that might determine whether a customer visits

the site again or makes a transaction (Teo & Pian,

2004) Given the growing importance of Web sites

in relations between companies and consumers,

businesses are ever more aware of the need to

improve their offerings Therefore, a Web site is

likely to be a dynamic entity, demanding continual

maintenance, investments, skill acquisition, and

management commitment

The evolution of Web sites is not yet clearly

understood and there is little research evidence

to explain why and how organisations continually

evolve their Web presence For example, it has

been suggested that SMEs adoption of Internet

technologies follows a sequence of stages These

stage models imply that businesses move in broad

phases from basic use of the Internet (as an e-mail

or marketing tool) to more sophisticated usage

that redesigns business processes and integrates

business systems (e.g., Daniel, Wilson, & Myers,

2002; Rao, Metts, & Mora Monge, 2003)

In recent years, governmental programs of

the UK, European Union and other governments

KDYHXVHGWKHVHNLQGRI³RQHVL]H¿WVDOO´VWDJH

models to encourage SME e-business adoption

(e.g., DTI, 2002; Industry Canada, 1999; NOEI,

2000; SIBIS and European Communities, 2003)

However, despite the efforts of governments and the various support programs, the number of SMEs achieving advanced stages of e-commerce is very low and lags behind larger companies in their use (CBI and KPMG Consulting, 2002; DTI, 2003; EU, 2003) Recent research reveals that e-commerce initiatives in SMEs are mainly still at the initial stages, not progressing much beyond e-mail and simple information-based Web pages (e.g., Brown

& Lockett, 2004; Levy & Powell, 2003; Oliver 'DPDVNRSRXORV 6LPLODU¿QGLQJVKDYH been made in other countries and concerns have been raised as to why government-led adoption programmes for SMEs are not more successful (Stockdale & Standing, 2004)

The picture is perhaps even worse because there is evidence that many SME Web sites, that were initiated and developed, have not progressed RYHUWLPHEXWUHPDLQLQD³GRUPDQW´VWDJHIRUD period of many months or even years Indeed, several studies of e-business in the UK have ac-tually reported a decline in the number of SMEs implementing trading online (CBI and KPMG Consulting, 2002; DTI, 2003; EU, 2003) and perhaps surprisingly, the use of Web sites and e-mail has also declined (DTI, 2002, 2003) The aim of this chapter is threefold Firstly, it aims to examine different approaches for study-ing e-business progression, particularly in the context of SMEs Secondly, it describes a multi-dimensional research framework as an alternative approach Lastly, it shows the application of such a framework to study how a sample of SMEs’ Web sites changes over time The premise of this study

is that examining the evolution of Web sites over time provides insights into the actual evolving strategies and motivations behind Internet invest-ments This work forms part of a wider research study into the evolution of the Web presence of small business in the UK The motivation for this research is to characterize and model the evolution

of SMEs involvement in e-business in terms of PHWULFVDQGSDWWHUQVDVRSSRVHGWRWKHLGHQWL¿FD-tion of stages The objective of the wider study

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The Evolving Web Presence of SMEs

is to ultimately produce a predictive model, such

that the evolution process of any given Web site

in its particular context can be categorized and

its management better supported Such a model

is currently lacking and is likely to be especially

useful since investments in ICT typically forms a

VLJQL¿FDQWSDUWRIWKHOLPLWHGUHVRXUFHVDQGVNLOOV

of SMEs and therefore, it is important that these

investments are carefully planned to minimize the

ULVNVDQGHQVXUHWKHGHVLUHGEHQH¿WV7KLVFKDSWHU

reports on progress so far and it is organized as

follows Firstly, different theories and models

that have been applied to study the progression

of SMEs in this context are introduced Next, a

multidimensional research framework looking

at the process, content, and drivers of change is

proposed Then some preliminary results of a

pilot monitoring and content analysis of Web sites

and telephone interviews are described in order

to illustrate the use of the developed framework

Finally some conclusions and implications are

suggested

APPROACHES TO STUDY

E-BUSINESS PROGRESSION

The organisational adoption of Internet

technolo-gies or stratetechnolo-gies has been studied from a variety of

different perspectives, the stage model being just

one of them These approaches convey different

theoretical assumptions about the driving forces

behind organisational adoption and

implementa-tion of technology innovaimplementa-tions

Factor Approach

In previous studies of growth of SMEs, it was

found that progression seems to occur when the

appropriate combination of factors takes place

(Storey, 1994) This approach is characteristic of

the factor (or variance) research stream, which

has been the dominant paradigm in the adoption

of technology innovation literature (Kurnia &

Johnston, 2002; Wilkins, Swatman, & Castle-man, 2000) This perspective focuses on iden-WLI\LQJWKHIDFWRUVWKDWLQÀXHQFHWKHVXFFHVVRU failure of the adoption and implementation of a particular technology innovation These factors DUHXVHGDVLQGHSHQGHQWYDULDEOHV RU³FRQWULEX-tory conditions”) to predict the development and implementation of a particular innovation

in organisations (Markus & Robey, 1988; Mohr, 1982) This outcome is measured by dependent variables such as the presence/absence of innova-tion, earliness of innovation or extent of innovation (Wilkins et al., 2000)

Generally, e-commerce studies following this approach assess the relevance of factors LGHQWL¿HG IURP WKH RUJDQLVDWLRQDO LQQRYDWLRQ adoption literature, and in some cases, identify additional variables (Kurnia & Johnston, 2002) There are both exogenous and endogenous factors LQÀXHQFLQJ WKH DGRSWLRQ LPSOHPHQWDWLRQ DQG the successful management of Information and Communication Technologies (ICTs) (Southern

& Tilley, 2000) Frequently these factors or vari-ables are grouped into three groups: the nature

of the technology innovation, the characteristics/ capability of the organisations and the external environment (Kurnia & Johnston, 2002) For ex-ample, Storey (1994) suggested the characteristics

of the entrepreneur(s), the characteristics of the

¿UPDQGWKHLUVWUDWHJ\RUPDQDJHULDODFWLRQV,Q another example, Martin and Matlay (2001) found the reactive or proactive approach of owners to rapid technological changes in the marketplace to

be crucial to ICT adoption and implementation

In addition, Mehrtens, Cragg, and Mills (2001) LGHQWL¿HGSHUFHLYHGEHQH¿WVRUJDQLVDWLRQDOUHDGL-ness, and external pressures as the main factors WKDWLQÀXHQFHDGRSWLRQGHFLVLRQV

Under this perspective, adoption is often studied by cross-sectional studies employing positivist and quantitative techniques, such

as surveys, to assess various factors affecting adoption at a single epoch (Kurnia & Johnston, 2002) This approach offers useful insights into

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The Evolving Web Presence of SMEs

the complex array of multilevel variables that

FDQ SRWHQWLDOO\ LQÀXHQFH LQQRYDWLRQ +RZHYHU

variance theories do not fully account for the

complexity of the interactions between variables

and the conditions contingent upon each individual

study (Wilkins et al., 2000) Therefore, it often

QHJOHFWVWRH[SODLQH[DFWO\³KRZ´RU³ZK\´WKH

predictors and outcomes are related, providing

only a partial explanation of the implementation

process (Newman & Robey, 1992) This often

leads to contradictions as different studies may

¿QGVRPHIDFWRUVUHOHYDQWZKLOHRWKHUVGRQRW

In addition, other weakness is its static nature:

it ignores changes in the innovation itself during

the adoption process (Wolfe, 1994) and changes

LQWKHIDFWRUVWKDWLQÀXHQFHWKHDGRSWLRQ XUQLD

& Johnston, 2002)

Rational Approach

The idea behind these models is that different

types of business will approach e-commerce in

GLIIHUHQWZD\VGHSHQGLQJRQWKHVSHFL¿FEXVLQHVV

processes that might want to carry out through

the Internet (Tagliavini, Ravarini, & Antonelli,

2001) Thus several

,QWHUQHWXVDJHSUR¿OHVRUDS-proaches are possible This perspective assumes

WKDWD¿UPSXUSRVHIXOO\GHWHUPLQHZKLFKSUR¿OHRU

FRPELQDWLRQRISUR¿OHVEHVWVXLWVLWVSHFXOLDULWLHV

(company characteristics), business context, and

strategy Unlike stage models, it does not prescribe

a necessary sequence of stages or specify that a

¿UPWKDWLVDSSURDFKLQJWKH,QWHUQHWLQFHUWDLQZD\

must proceed to another use in order to get more

EHQH¿WV5DWKHUPRGHOVEDVHGRQWKLVDSSURDFK

LPSO\ WKH LGHD WKDW ¿UPV PXVW FRQVLGHU ZKLFK

mode of e-business is right for their businesses

and assess if moving to another mode would be

best for them or not Thus, SMEs will focus on

VSHFL¿FDGRSWLRQVWUDWHJLHVWRPHHWWKHLUQHHGV

rather than follow a stages model (Levy & Powell,

2003) To determine the most suitable

e-com-merce approach, a company must set realistic

strategic objectives (e.g., business goals) in line

with its peculiarities (e.g., resources, size, age, W\SHVRISURGXFWVVHUYLFHV DQGZLWKWKHVSHFL¿F business context (e.g., industry sector, customers expectations, suppliers requirements) (Boisvert & Begin, 2002) For example, Tagliavini et al (2001) LGHQWL¿HG¿YHHFRPPHUFHDSSURDFKHVQDPHO\ public relations, company promotion, pre/post sales support, order processing, and payment management In a similar vein, Boisvert and Begin  VXJJHVW¿YH,QWHUQHWXVHUSUR¿OHVRUUROHV promoter, developer, vendor, integrator, and PR RI¿FHU/HY\DQG3RZHOO  LGHQWLI\IRXUUROHV for Internet technologies in SMEs: brochureware, support, opportunity, and development

These models follow a rational (or teleologi-cal) perspective that assumes that organisations act purposefully to accomplish planned objec-tives Under this perspective, the adoption and implementation of innovations is conceived as

a rationalistic decision that involves progress WKURXJK GLIIHUHQW VWDWHV WRZDUGV D VSHFL¿F RE-jective or an end in itself This theory states that

an organisation constructs an envisioned future, purposefully takes action to reach it and moni-tors its own progress towards that future (Van

de Ven & Poole, 1995) In other words, change

is rational and occurs because organisations see the necessity of change (e.g., to accomplish the organisation’s goals and objectives more effec-WLYHO\DQGHI¿FLHQWO\ 

The rational approach is also open to criti-cism on a number of fronts For example, its empirical validity is highly doubtful as the ap-proach is essentially normative: its prescriptions describe how the organisation should change, not necessarily how it does change (Markus & Robey, 1988) For businesses with a clear vision

of their corporate strategies a rational approach

to understanding technology deployment is ap-pealing However, most small businesses do not formally plan their activities in this area At the majority of companies, executives are advancing prudently, by intuition, open step at a time, often

by trial and error When the results appear poor

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The Evolving Web Presence of SMEs

RULQVXI¿FLHQWWKH\DGGQHZDSSOLFDWLRQVUHYDPS

the design of their site, or lose interest entirely

(Boisvert & Begin, 2002)

Institutional Theory

The institutional theory rejects the organisational

actors’ rationality and claims that the structure

and behaviour of an organisation are shaped by

the characteristics of the environment in which it

operates (Scott, 2001) Thus, organisations within

a particular industry tend to look like each other

over time, as competitive and customer pressures

motivate them to copy each other’s practices

re-JDUGOHVVRIHI¿FDF\ 'L0DJJLR 3RZHOO 

In this context, the institutional environment in

ZKLFKWKH¿UPLVHPEHGGHGPD\LQÀXHQFHDGRS-tion of Internet technologies This environment

³RUJDQLVDWLRQDO ¿HOG´  LV IRUPHG E\ D JURXS

of organisations providing similar products or

services, with the major suppliers, customers,

owners, and regulatory agencies, creating

incen-tives and barriers to adoption and use Therefore,

the decision to adopt e-commerce, rather than

being a purely rational and internal decision, is

likely to be induced by external pressures from

competitors, trading partners, customers, and

government

The phenomenon by which organisations are

structured through their environment

require-PHQWV LV H[SODLQHG E\ ³isomorphic practices.”

DiMaggio and Powell (1991) present two types

of isomorphism: competitive and institutional

Competitive isomorphism pressures occur when

the forces of competition eventually push

organi-VDWLRQVWRZDUGLPSURYLQJHI¿FLHQF\2QWKHRWKHU

hand, institutional isomorphism stresses cultural

and political issues as the drivers of change

For example, coactive isomorphism, which is

RULJLQDWHGIURPWKHSROLWLFDOLQÀXHQFHVDQGWKH

legitimacy problems (e.g., legally imposed

restric-tions); mimetic isomorphism, which is driven by

uncertainty and may result in the imitation of

models of operation from successful companies in

order to gain status and legitimacy; and normative isomorphism, which can be associated to profes-sions actions (e.g., codes of conduct of professional bodies) (DiMaggio & Powell, 1991)

The use of this approach, rather than the stages theory, helps to explain, it is argued, repetitive practices in a non-deterministic fashion, and change is seen as part of a wider set of dynamic industry practices (Lamb & Davidson, 2004) There is not a predetermined end point, as in the stage models but instead, change is seen as

a reaction to external demands, institutional variables, and the particular environment faced E\WKH¿UP

Process Approach and Stage Models

Process theory research of organisational in-novation differs fundamentally from the more common factor (or variance) approach discussed before In variance theories, the precursor factors DUHDVVXPHGWREHQHFHVVDU\DQGVXI¿FLHQWFRQ-dition for the outcomes to occur (e.g., successful adoption) (Markus & Robey, 1988) By contrast, process theories, rather than regarding adoption and implementation as the product of a set of static factors (i.e., predictor variables), are concerned with explaining how and why these outcomes develop over time with reference to the preceding sequence of events (Langley, 1999; Sabherwal & Robey, 1995) Typically, process models specify antecedent conditions that exist prior to the se-quence of events, describe the events in the process itself, and relate those events to outcomes (Robey

& Newman, 1996) Thus, here, the outcomes are partially predictable from a knowledge of the process and the outcome can happen only under these conditions, but the outcome may also fail to happen (Markus & Robey, 1988; Mohr, 1982) Understanding patterns in events and gener-ating topologies based on similar groupings are WKXVNH\WRGHYHORSLQJ³SURFHVV´WKHRU\ /DQJOH\ 1999; Sabherwal and Robey, 1995) These patterns may take a variety of different forms and Wolfe

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The Evolving Web Presence of SMEs

(1994) argues that there have been two generations

of process theory research An earlier generation

termed stage model research, and a later

genera-tion, known simply as process research

The earlier generation characterizes diffusion

RILQQRYDWLRQVDVDOLQHDUVHTXHQFHRI³SKDVHV´

(stages) unfolding over time (Langley, 1999)

They offer a broad process perspective on how

implementation of computer-based IT evolves over

WLPHE\VSHFLI\LQJDGH¿QLWLYHWHPSRUDORUGHUWR

the sequence of activities (Sabherwal & Robey,

1995) This approach of dividing processes into a

priori stages can be seen for example in Nolan’s

(1973) model describing the stages of

informa-tion systems (IS) growth in organisainforma-tions The

Stages Theory has been widely used as a way of

examining the adoption and progression of various

aspects of e-commerce in organisations

Concep-tual models seeking to identify and describe the

different phases that SMEs move through with

respect to the sophistication of their use of Internet

technologies have appeared in the literature (e.g.,

Daniel et al., 2002; Rao et al., 2003)

However, some authors have regarded such

stage models as inappropriate, incomplete and

limited given their weaknesses For example,

0RKU  SRLQWVRXWWKHLUODFNRIVSHFL¿FDWLRQ

of the mechanism by which subsequent stages

come about and their oversight of the detailed

sequences of events that occur within each stage

They also have been criticized because they

portray only one possible sequence of events,

through which all organisations are expected to

progress (Boudreau & Robey, 1999) and because

they ignore the rapid rates of environmental and

technological change (Sabherwal & Robey, 1995)

,QWKHVSHFL¿FFRQWH[WRIHEXVLQHVVSURJUHVVLRQ

in SMEs, Alonso Mendo and Fitzgerald (2005a)

summarize some other weaknesses as follows:

D  DQ RYHU VLPSOL¿HG SHUVSHFWLYH RI FRPSOH[

issues and circumstances, (b) based on a false

DVVXPSWLRQ WKDW ¿UPV SURJUHVV IURP EDVLF WR

more advanced use of ICTs in a linear fashion, (c) a lack of empirical validation, and (d) a focus

on the broad picture of change in the industry, rather than individual instances

The second kind of process approaches offers

an analytical alternative to these simple stage models that assume neat linear progressions of broad implementation phases It involves the HPSLULFDO H[DPLQDWLRQ DW D PXFK ¿QHU OHYHO RI detail of the sequences of events that occur (and may reoccur) during the implementation process (Robey & Newman, 1996; Sabherwal & Robey, 1993) Interpretive studies in IS provide increas-ing evidence that innovation in organisations is usually a complex iterative process where multi-layered and changing contexts, multidirectional causalities, and feedback loops often disturb steady progression toward equilibrium (Langley, 1999) Therefore, instead of presenting innovation DV DQ HQWLW\ LQ ³VWDJHV´ WKLV DSSURDFK HQDEOHV

a better understanding of complex innovation

³HYHQWV´ DV WKH\ HPHUJH DQG XQIROG RYHU WLPH (Wolfe, 1994) This approach may be applied through longitudinal or retrospective research methods trough small- or large-sample studies that employ either qualitative or quantitative analyses (Sabherwal & Robey, 1995)

Markus and Robey (1988) highlight several advantages of process models over other for-PXODWLRQV )LUVWO\ WKH\ FDQ HQDEOH WKH ¿QGLQJ

of patterned regularities over time in empirical data that variance models, and even stage models, PLJKWPLVV6HFRQGO\WKH¿QGLQJVREWDLQHGFDQ

be generalized to other contexts and predictions can be tested for validity However, these predic-WLRQVDUHOLPLWHGLQWKHVHQVHWKDWWKHRXWFRPH³LV likely (but not certain) under some conditions and unlikely under others” (Markus & Robey,

1988, p 593) Therefore, this approach is useful

to explain how and why the outcomes develop over time but it is of limited use to suggest how

it should happen

Trang 10

The Evolving Web Presence of SMEs

RESEARCH FRAMEWORK

Conducting research with a single preconceived

change theory in mind has the risk of

oversim-SOL¿FDWLRQDQGREWDLQLQJRQO\DSDUWLDODFFRXQW

of the development and change process at the

expense of others (Van de Ven & Poole, 1995) For

example, researchers using a priori stage model

may expect a certain number of stages of

devel-RSPHQWWRRFFXUDQG¿QGWKHLUUHVXOWVEHFRPLQJ

VHOIIXO¿OOLQJ SURSKHVLHV %RXGUHDX  5REH\

1999) Organisational change is more complex

than this and it typically involves a number of

simultaneous change drivers, interacting with

each other This suggests a need for a broader,

multidimensional, framework to be adopted in its

study This section describes such a framework

to help understand the evolution of e-business

practices within SMEs Whilst the framework

itself is new, the contents of the dimensions and

elements in the framework were partly, although

not totally, derived from existing literature and

studies and published elsewhere (Alonso Mendo

& Fitzgerald, 2005b)

Change theories have provided important perspectives on implementation issues of com-puter-based information technologies in general (Wilkins et al, 2000) As well as technological diffusions, implementation can also be seen as

an organisational change process that extends over time (Lucas, 1994; Walsham, 1993) Thus,

it is suggested that a change perspective could provide a useful lens through which to view SMEs Web site evolution However, there is relatively little research evidence to explain why and how organisations evolve their Web presence over time, and less that examines this as a set of change sequences What would be very useful would be

to study different implementation process pat-terns by empirically examining the sequences

of changes that occur during the implementation process over time (as seem in the last approach presented)

Figure 1 Framework for investigating the progression of SMEs in their use of Internet technologies

...

owners, and regulatory agencies, creating

incen-tives and barriers to adoption and use Therefore,

the decision to adopt e-commerce, rather than

being a purely rational and internal...

at the process, content, and drivers of change is

proposed Then some preliminary results of a

pilot monitoring and content analysis of Web sites

and telephone interviews... support, order processing, and payment management In a similar vein, Boisvert and Begin  VXJJHVW¿YH,QWHUQHWXVHUSUR¿OHVRUUROHV promoter, developer, vendor, integrator, and PR RI¿FHU/HY\DQG3RZHOO  LGHQWLI\IRXUUROHV

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