Skip to main content

Starting Building a IT Policy: A Quest to IT Success

  • Conference paper
  • First Online:
Information System Development
  • 1764 Accesses

Abstract

An organization uses information technology (IT), because the IT is consistent with the functional and operational objectives designed by that organization. The investment that is required to place technological innovation in an organization carries significant weight. This weight can be translated into decision making or monetary costs. It is therefore important that after implementation, ensured close monitoring of their use and such monitoring can take many forms, one of which can be explicit through a usage policy. It is the responsibility of the technology manager, to outline the best policy to use the technology that was adopted first by, taking into account the need of the organization and secondly to ensure the construction of monitoring mechanisms and set up conditions to facilitate its successful use. Therefore, the study of the adoption and diffusion of a technological innovation provides these professionals more tools that can assist in the preparation of these strategies, without forgetting that it is necessary to plan at the user level and not only to assist the management in its objectives.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Youngberg E, Olsen D, Hauser K (2009) Determinants of professionally autonomous end user acceptance in an enterprise resource planning system environment. Int J Inf Manage 29:138–144

    Article  Google Scholar 

  2. Cooper RB, Zmud RW (1990) Information technology implementation research: a technological diffusion approach. Manage Sci 36:123–139

    Article  Google Scholar 

  3. Alinaghian R, Rahman AA, Ibrahim R (2011) Information and communication technology (ICT) policy; significances, challenges, issues and future research framework. Aust J Basic Appl Sci 5:963–969

    Google Scholar 

  4. Rajagopal P (2002) An innovation–diffusion view of implementation of enterprise resource planning (ERP) systems and development of a research model* 1. Inf Manage 40:87–114

    Article  Google Scholar 

  5. Jarvenpaa SL, Ives B (1993) Organizing for global competition. Decis Sci 24:547–580

    Article  Google Scholar 

  6. Chakraborty I, Hu PJ-H, Cui D (2008) Examining the effects of cognitive style in individuals’ technology use decision making. Decis Support Syst 45:228–241

    Article  Google Scholar 

  7. Agarwal R, Karahanna E (2000) Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage 1. Mis Q 24:665–694

    Article  Google Scholar 

  8. Rivard S, Lapointe L (2012) Information technology implementers’ responses to user resistance: nature and effects. Manage Inf Syst Q 36:897–920

    Google Scholar 

  9. Martinko MJ, Zmud RW, Henry JW (1996) An attributional explanation of individual resistance to the introduction of information technologies in the workplace. Behav Inf Technol 15:313–330

    Article  Google Scholar 

  10. Elie-Dit-Cosaque C, Pallud J (2010) User adaptation and IS success: an empirical investigation among French workers. In: ICIS 2010 proceedings

    Google Scholar 

  11. Jiang JJ, Muhanna WA, Klein G (2000) User resistance and strategies for promoting acceptance across system types. Inf Manage 37:25–36

    Article  Google Scholar 

  12. Lapointe L, Rivard S (2005) A multilevel model of resistance to information technology implementation. Mis Q 29:461–491

    Google Scholar 

  13. Russell DM, Hoag AM (2004) People and information technology in the supply chain: social and organizational influences on adoption. Int J Phys Distrib Logist Manag 34:102–122

    Article  Google Scholar 

  14. Calvert C (2006) A Change-Management Model for the Implementation and Upgrade of ERP Systems

    Google Scholar 

  15. Al-Rajhi M, Liu K, Nakata K (2010) A Conceptual Model for Acceptance of Information Systems: An Organizational Semiotic Perspective

    Google Scholar 

  16. Del Val MP, Fuentes CM (2003) Resistance to change: a literature review and empirical study. Manage Decis 41:148–155

    Article  Google Scholar 

  17. Laumer S, Maier C, Eckhardt A (2010) Why do they resist?—an empirical analysis of an individual’s personality trait resistance regarding the adoption of new information systems. In: ECIS 2010 proceedings

    Google Scholar 

  18. Lawrence PR (1969) How to deal with resistance to change. Har Bus Rev 32(3):49–57

    Google Scholar 

  19. Palmer B (2004) Change management: overcoming resistance to change. Qual Prog 37:35–39

    MathSciNet  Google Scholar 

  20. Sultan F, Chan L (2000) The adoption of new technology: the case of object-oriented computing in software companies. Eng Manage IEEE Trans 47:106–126

    Article  Google Scholar 

  21. Bovey WH, Hede A (2001) Resistance to organisational change: the role of defence mechanisms. J Manage Psychol 16:534–548

    Article  Google Scholar 

  22. Klaus T, Blanton JE (2010) User resistance determinants and the psychological contract in enterprise system implementations. Eur J Inf Syst 19:625–636

    Article  Google Scholar 

  23. Cohen J (2010) Cognitive, affective and behavioural responses to an ERP implementation: a dual perspective of technology acceptance and organisational change. In: ACIS 2010 Proceedings

    Google Scholar 

  24. Smollan RK (2006) Minds, hearts and deeds: cognitive, affective and behavioural responses to change. J Change Manage 6:143–158

    Article  Google Scholar 

  25. Bhattacherjee A (2001) Understanding information systems continuance: an expectation-confirmation model. Manage Inf Syst Q(25)

    Google Scholar 

  26. Shang S, Su T (2004) Managing user resistance in enterprise systems implementation

    Google Scholar 

  27. Garaca Z (2011) Factors related to the intended use of ERP systems. Manage J Contemp Manage Issues 16:23–42

    Google Scholar 

  28. Wanchai P, Andrade A, Techatassanasoontorn A (2012) Adjusting to mandatory information systems: understanding individual adaptation to ERP systems. In: Conf-Irm 2012 proceedings

    Google Scholar 

  29. Tavassoli L, Toland J (2008) Strategies for Dealing with End-User Resistance

    Google Scholar 

  30. Griffiths M, Light B (2006) User resistance strategies and the problems of blanket prescriptions: a case study of resistance successes. In: ECIS 2006 proceedings

    Google Scholar 

  31. Markus ML (1983) Power, politics, and MIS implementation. Commun ACM 26:430–444

    Google Scholar 

  32. Waddell D, Sohal AS (1998) Resistance: a constructive tool for change management. Manage Decis 36:543–548

    Article  Google Scholar 

  33. Kim H-W, Kankanhalli A (2009) Investigating user resistance to information systems implementation: a status quo bias perspective. Mis Q 33:567–582

    Google Scholar 

  34. Laumer S (2011) Why do people reject technologies—a literature-based discussion of the phenomena resistance to change in information systems and anagerial psychology research. In: ECIS 2011 proceedings

    Google Scholar 

  35. Barki H, Hartwick J (1989) Rethinking the concept of user involvement. Manage Inf Syst Q(13)

    Google Scholar 

  36. Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 46:186–204

    Article  Google Scholar 

  37. Huang AH (2002) A three-tier technology training strategy in a dynamic business environment. Adv Top End User Comput 2:263

    Article  Google Scholar 

  38. Eckhardt A, Laumer S, Nguyen NT (2010) Social influence in technology adoption research—a scientometric study over two decades behavior. In: Digit 2010 proceedings

    Google Scholar 

  39. Järveläinen J (2012) “I wouldn’t go back to the old system”: a technology laggard organization, resistant users and system implementation. In: Bled 2012 proceedings

    Google Scholar 

  40. Yager SE, Schrage JF, Berry RL (2002) Preparing end user support specialists. J Educ Bus 78:92–96

    Article  Google Scholar 

  41. Marcella R, Middleton I (1996) The role of the help desk in the strategic management of information systems. Oclc Syst Serv 12:4–19

    Article  Google Scholar 

  42. Adams B, Berner ES, Wyatt JR (2004) Applying strategies to overcome user resistance in a group of clinical managers to a business software application. J Organ End User Comput 16:55–64

    Article  Google Scholar 

  43. Winston ER (2002) IS consultants and the change agent role. SIGCPR Comput Pers 20:55–74

    Article  Google Scholar 

  44. Beath CM (1991) Supporting the information technology champion. Mis Q 15:355

    Article  Google Scholar 

  45. Bradley J (2005) Are All Critical Sucess Factors in ERP Implementation Created Equal? Amcis 2005 Proc

    Google Scholar 

  46. Gallagher KP, Gallagher VC (2012) Organizing for post-implementation ERP: a contingency theory perspective. J Enterp Inf Manag 25:170–185

    Google Scholar 

  47. Rogers EM (2003) Diffusion of innovations, 5th edn. Simon & Schuster, New York, NY

    Google Scholar 

  48. Ellen PS, Bearden WO, Sharma S (1991) Resistance to technological innovations: an examination of the role of self-efficacy and performance satisfaction. J Acad Mark Sci 19:297–307

    Article  Google Scholar 

  49. Compeau DR, Higgins CA (1995) Computer self-efficacy: development of a measure and initial test. Mis Q 19:189

    Article  Google Scholar 

  50. Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. Mis Q 27:425–478

    Google Scholar 

  51. Al-Jabri IM, Al-Hadab A (2008) End user adoption of ERP systems: investigation of four beliefs. In: Americas Conference on Information Systems (AMCIS), pp 1–8

    Google Scholar 

  52. Labelle R (2005) ICT policy formulation and e-strategy development: a comprehensive guidebook. Elsevier, New Delhi

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pedro Neves Rito .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Rito, P.N. (2014). Starting Building a IT Policy: A Quest to IT Success. In: José Escalona, M., Aragón, G., Linger, H., Lang, M., Barry, C., Schneider, C. (eds) Information System Development. Springer, Cham. https://doi.org/10.1007/978-3-319-07215-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07215-9_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07214-2

  • Online ISBN: 978-3-319-07215-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics