Public Sector Transformation Through E-Government

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by Christopher G Reddick


  in general relate to outreach organizations or—programs; companies refer in

  most cases to banks and publishing houses, but also to consultancy fi

  firms.

  Alliances refer to pre-existing forms of cooperation between municipalities.

  5.4 Activation: Moderation between

  Pressure and Organizational Search

  Although respondents indicated that organizational search activities follow

  up on institutional pressure, from the case study so-called activation triggers

  (Zahra & George, 2002) can be identifi e

  fi d that result in episodic changes

  (Tyre & Orlikowksi, 1994). Activation triggers in municipal e-government

  development include disasters aff e

  ff cting municipal organizations (in the Dutch

  situation, the explosion of a fi

  fireworks factory in the city of Enschede trig-

  gered a political crisis and in the subsequent reorganization, personalized

  e-government services were seen as a opportunity to help shape the new orga-

  nization) but also the merger of municipalities and the appointment of new

  senior managers or politicians. These occasions do not by themselves induce

  organizational change but rather amplify the pre-existing impact of pressure

  on organizational search activities.

  5.5 Framing

  In line with the Swedish Institutionalism mentioned in the section on Theo-

  retical Antecedents of Diff

  ffusion, knowledge and ideas cannot simply be

  transfused from one organization to the other; rather, ideas, concepts, and

  knowledge is repacked and re-embedded (Isabella, 1990). In the fi el

  fi d study,

  we observed that various adopters framed ideas and chunks of knowledge

  completely diff eren

  ff

  tly. Personalization was sometimes framed as a precur-

  sor of an organization being a service champion (actually enabling citizen-

  centric service delivery), a means for achieving effi

  ci

  ffi ency ( “If the processes

  are well-organized, I am convinced that in the long run we can do without

  large number of members of staff,”

  ff Alderman), reputation (“We think that

  we, being part of a high technology region, are obliged to modernize our

  service delivery”, Head of Customer Relations Department), and control

  Diff

  ffusion of Personalized Services 193

  Table 14.9 Frames of Personalization

  ‘Framing’ of Innovations

  Frequency

  Service champion

  102

  Effi ciency

  ffi

  48

  Reputation

  54

  Control

  27

  (“Now the focus is on the front offi

  ffice . . . but in the near future we intend

  to reengineer processes in the back offi

  ffice as well, as to simplify and speed

  up processes,” Project Manager Service Delivery).

  5.6 Social

  Integration

  From the observations in the fi el

  fi d work, and informed by our theoretical dis-

  cussion of the Swedish Institutionalism, we could observe that translation,

  transfusion and repackaging of knowledge and ideas are social integration

  processes in which specifi

  fic actors play a role (Czarniawska & Sevon, 2005).

  The actual transformation and transfusion of knowledge and ideas regard-

  ing personalization takes place through exchange of staff am

  ff

  ong municipali-

  ties, but also by the activities of (internal) innovation champions that actively

  ‘pitch’ innovations, as well as by activities of external knowledge brokers.

  John Doe, of Consulting Inc 7 , that is a remarkable character. He has access to senior management levels, where normally no one understands the potential of modern ICTs. But he is able to come up with

  brilliant applications, stories and examples. (Program manager)

  5.7 Synthesis: Persuasion and Communication

  Underlying Adoption Decisions

  The theory building reported above can be summarized in fi ve

  fi conjectures:

  • Conjecture 0: municipalities experience both internal as well as exter-

  nal infl uenc

  fl

  e to adopt personalized e-government services;

  • Conjecture 1: institutional infl

  fluence on municipalities to adopt per-

  sonalized e-government services results in increased organizational

  search activities;

  • Conjecture 2: activation triggers moderate the impact of institutional

  infl u

  fl ence on organizational search activities;

  • Conjecture 3: in order to inform adoption decisions, knowledge and

  ideas resulting from search activities are framed in such a way as to

  appeal to local priorities and ambitions;

  194 Vincent

  Homburg and Andres Dijkshoorn

  • Conjecture 4: only knowledge and ideas that are framed as to appeal

  to local priorities and ambitions inform decisions to adopt personal-

  ized e-government services.

  With these conjectures, a model of how municipalities (being public sec-

  tor organizations) actually adopt e-government innovations, how these

  municipalities actually learn to innovate, and how institutional infl uenc

  fl

  e

  shapes e-government adoption, can be presented (see Figure 14.1 for a graphic representation). With this model, the channels of persuasion underlying the adoption of, in our case, personalized e-government services have

  been decomposed, thereby revealing both the structure as well as agency of

  adoption decisions in the public sector.

  6 DISCUSSION AND CONCLUSION

  This chapter has explored the process by which public organizations—

  more specifi call

  fi

  y, Dutch municipalities—adopt personalized e-government

  services. In doing so, it builds upon an institutional tradition of technol-

  ogy diffusion, in which technology diff

  ffusion and adoption is associated not

  primarily with individually rational cost/benefi

  fit considerations, but rather

  Figure 14.1

  Model of institutional influence on adoption of personalized

  e- government.

  Diff

  ffusion of Personalized Services 195

  with organizations’ attempts to cope with a variety of prevailing norms,

  values, belief systems and rules that are imposed upon them. Furthermore,

  it has been our objective to highlight the role of human agency in the pro-

  cess of innovation, rather than focus on explaining the outcome as such.

  Our analysis has concentrated on environmental pressure and ways in

  which knowledge and ideas regarding innovations are dealt with in munici-

  pal organizations.

  One important fi

  finding of our research is that municipalities are con-

  fronted with horizontal and vertical channels of persuasion, by which

  pressure is put on municipalities to adopt innovations. Here, we add the

  element of “persuasion” to the existing notion of communication channels

  in the innovation literature, as communication to (potential) adopters was

  perceived as being compelling “evidence” to behave in a partic
ular way.

  A second fi

  finding was that environmental pressure imposed on munic-

  ipalities was followed up by organizational search activities resulting in

  knowledge that was actively framed in terms of either (1) essential for ser-

  vice delivery, (2) effi

  fficiency, (3) reputation and/or (4) organizational control.

  Here we can infer how human agency plays a role in the eventual decision

  whether or not to adopt personalized e-government services.

  These fi

  findings raise a number of questions for further research. First,

  direction and source of institutional pressure (horizontal, vertical, or mixed)

  may depend on differences in centralized, decentralized, or decentralized

  unity state regimes. Comparative research is needed to reveal differences

  and similarities in this respect. Second, we have analyzed the antecedents

  of personalization; it may be of interest to examine the eff

  ffects of personal-

  ization, including possible unintended consequences of inequality in service

  provision and weakening of popular sovereignty (Fountain, 2001). Third

  and fi

  finally, we realize that the model depicted in Figure 14.1 is overly styl-ized and simplifi

  fied, and additional research activities may be needed to

  include feedback loops and interactions between identified constructs.

  NOTES

  1.

  Note

  that population size has dropped from 458 (2006) to 418 (2010)

  throughout the time frame covered due to ongoing reorganizations and

  mergers, particularly of smaller municipalities.

  2.

  Local elections were held in 2006 and 2010, implying that no major political

  changes have occurred in the time frame covered.

  3. SPSS 16.0 and Marketing Engineering extensions of Microsoft Excel.

  4. Note that interviews were held in Dutch; the authors present the quotations in the Analysis section in English.

  5.

  Using the MaxQDA qualitative analysis tool.

  6. We used SPSS 16.0 in combination with the Marketing Engineering utility for Excel.

  7. Name of respondent and the consultancy fi

  firm were changed to maintain

  anonymity.

  196 Vincent Homburg and Andres Dijkshoorn

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  15 E-Government Adoption

  of XBRL

  A U.K./U.S. Comparison

  Rania Mousa and Yu-Che Chen

  CHAPTER OVERVIEW

  This chapter examines the adoption of an e-government innovation utilizing

  the Extensible Business Reporting Language (XBRL). XBRL brings stan-

  dardization to business and fi

  financial information for meaningful compari-

  son. XBRL is viewed as the barcode of business and fi n

  fi ancial information.

  Moreover, XBRL enables effi


  fficient gathering, validation, and dissemination

  of business and fi

  financial data for regulators and investors alike. For e-gov-

  ernment, XBRL plays a critical role in transforming the electronic regula-

  tory reporting process.

  This chapter investigates two prominent cases of e-government XBRL

  adoption: the Securities and Exchange Commission (U.S.) and Companies

  House (U.K.). Both are the main regulators of business and fi

  financial infor-

  mation for their respective countries. The emphasis is on identifying and

  analyzing the Critical Success Factors (CSFs) that contribute to the adop-

  tion of XBRL at both agencies.

  The main fi

  findings of this research suggest that similarities in e-govern-

  ment adoption in United States and United Kingdom span a number of

  CSFs. These factors include the emphasis on making XBRL business case

  for government agencies, availability of in-house technical expertise, secure

  access to technical and non-technical stakeholders’ support, and the agen-

  cies’ capabilities in overcoming the technical difficulties encountered in

  adopting XBRL. These fi

  findings are relevant to the theory and practice of

  adopting innovative e-government in general and transforming regulatory

  reporting in particular.

  1 INTRODUCTION

  Throughout the world, there has been a signifi

  ficant paradigm shift where

  government agencies have recognized the importance of adopting techno-

  logical initiatives that would serve as a transformative tool for innovative

  governments. Many government agencies have relied—and few still do—on

  E-Government Adoption of XBRL 199

  conventional paper-based reporting methods, which have undermined the

  agencies’ ability to provide effi

  fficient reporting services and streamline gov-

  ernment operations. However, the landscape of government has changed,

  and new reporting technologies have become key components in govern-

  ments’ legacy reporting systems (Reddick, 2009; Pavlichev & Garson,

  2004; Norris, 1999). One of these remarkable reporting technologies is

  the Extensible Business Reporting Language. Ushering in standardization,

  XBRL has revolutionized the electronic reporting systems by bringing

  additional cost savings, providing timely fi

 

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