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The Adoption and Use of Negotiation Systems

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Part of the book series: Advances in Group Decision and Negotiation ((AGDN,volume 4))

Abstract

The purpose of this chapter is to introduce the literature on the adoption and use of Information Systems, consider how it applies to Negotiation Systems, and propose guidelines for modeling their adoption and use. The uniqueness of Negotiation Systems is confirmed by a general review of the difficulties of applying measures of adoption, usage, and success for Information Systems to Negotiation Systems. We provide a general discussion of the important role of affect in negotiation and the impact of incidental emotion on decision-making (see also chapter by Martinovski, this volume). The existence of a counterparty, as well as negotiation affects, means that without major modifications the models of technology acceptance that are used for Information Systems cannot be meaningful in the context of Negotiation Systems. We propose a general conceptual model for adoption of e-negotiation systems incorporating negotiation affects, and use the analysis of a large dataset to provide evidence that our model is valid (see chapters by Kersten and Lai and Schoop, this volume). We conclude by offering some recommendations and guidelines for future research in this field

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References

  1. Adams D, Nelson RR, Peter T (1992) Perceived usefulness, ease of use and usage of information technology: a replication. MIS Q 16(2):227–248

    Article  Google Scholar 

  2. Agarwal R (2000) Individual acceptance of information technologies. In: Zmud RW (Ed) Framing the domains of IT management. Pinnaflex, Cincinnati, OH, pp 105–127

    Google Scholar 

  3. Anderson C, Thompson LL (2004) Affect from the top down: how powerful individuals’ positive affect shapes negotiations. Organ Behav Hum Decis Process 95:125–139

    Article  Google Scholar 

  4. Agarwal R, Sambamurthy V, Stair MR (2000) The evolving relationship between general and specific computer self-efficacy – an empirical assessment. Inf Syst Res 11(4):418

    Article  Google Scholar 

  5. Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50(2):179–211

    Article  Google Scholar 

  6. Anderson C, Thompson LL (2004) Affect from the top down: how powerful individuals’ positive affect shapes negotiations. Organ Behav Hum Decis Process 95:125–139

    Article  Google Scholar 

  7. Andrade EB, Ariely D (2009) The enduring impact of transient emotions on decision making. Organ Behav Hum Decis Process 109:1–8

    Article  Google Scholar 

  8. Bandura A (1977) Toward a unified theory of behavioral change. Psychol Rev 84(2):191–215

    Article  Google Scholar 

  9. Bandura A (1978) Reflections on self-efficacy. In: Racbman S (ed) Advances in behavioral research and therapy, I. Perganion, Oxford, pp 237–269

    Google Scholar 

  10. Barki H, Ryad T, Boffo C (2007) Information system use-related activity: an expanded behavioral conceptualization of information system use. Inf Syst Res 18(2):173–192

    Article  Google Scholar 

  11. Barry B, Oliver RL (1996) Affect in dyadic negotiation: a model and propositions. Organ Behav Hum Decis Process 67(2):127–143

    Article  Google Scholar 

  12. Batson CD (1990) Affect and altruism. In: Moore BS, Isen AM (eds) Affect and social behavior. Cambridge University Press, Cambridge, pp 89–125

    Google Scholar 

  13. Beaudry A, Pinsonneault A (2005) Understanding user responses to information technology: a coping model of user adaptation. MIS Q 29(3):493–452

    Google Scholar 

  14. Bentler PM (2004) EQS 6 structural equations program manual. Multivariate Software, Encino, CA

    Google Scholar 

  15. Brancheau JC, Wetherbe JC (1990) The adoption of spreadsheet software: testing innovation diffusion theory in the context of end-user computing. Inf Syst Res 1(2):115–143

    Article  Google Scholar 

  16. Burton-Jones A, Straub DW (2006) Reconceptualizing system usage: an approach and empirical test. Inf Syst Res 17(3):228–246

    Article  Google Scholar 

  17. Compeau DR, Higgins CA, Huff S (1999) Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Q 23(2):145–158

    Article  Google Scholar 

  18. Compeau DR, Higgins CA (1995a) Application of social cognitive theory to training for computer skills. Inf Syst Res 6(2):118–143

    Article  Google Scholar 

  19. Compeau DR, Higgins CA (1995b) Computer self-efficacy: development of a measure and initial test. MIS Q 19(1):189–211

    Article  Google Scholar 

  20. Compeau DR, Meister DB, Higgins CA (2007). From prediction to explanation: Re-conceptualizing and extending the perceived characteristics of innovating. J Assoc Inform Syst (JAIS) 8(8):409–439

    Google Scholar 

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

    Article  Google Scholar 

  22. Davis FD (1989) Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q 13(3):319–340

    Article  Google Scholar 

  23. Davis FD (1993) User acceptance of information technology: system characteristics, user perceptions and behavior. Int J Man Mach Stud 38:475–487

    Article  Google Scholar 

  24. Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manage Sci 35(8):982–1003

    Article  Google Scholar 

  25. Davis FD, Bagozzi RP, Warshaw PR (1992) Extrinsic and intrinsic motivation to use computers in the workplace. J Appl Soc Psychol 22:1111–1132

    Article  Google Scholar 

  26. DeLone WH, McLean E (1992) Information systems success: the quest for the dependent variable. Inf Syst Res 3(1):60–95

    Article  Google Scholar 

  27. DeLone WH, McLean E (2003) The Delone and McLean model of information systems success: a ten-year update. J Manag Inform Syst 19(4):9–30

    Article  Google Scholar 

  28. Dennis AR, Wixom BH, Vandenberg RJ (2001) Understanding fit and appropriation effects in group support systems via meta-analysis. MIS Q 25(2):167–193

    Article  Google Scholar 

  29. Dishaw MT, Strong DM (1999) Extending the technology acceptance model with task-technology fit constructs. Inf Manag 36(1):9–21

    Article  Google Scholar 

  30. Doll WJ, Torkzadeh G (1998) The measurement of end user computing satisfaction. MIS Q 2:259–274

    Google Scholar 

  31. Ekman P (1994) Moods, emotions, and traits. In: Ekman P, Davidson RJ (eds) The nature of emotion: fundamental questions. Oxford University Press, New York, NY, pp 56–58

    Google Scholar 

  32. Etezadi-Amoli J, Farhoomand AF (1991) On end-user computing satisfaction. MIS Q 1:1–4

    Article  Google Scholar 

  33. Etezadi-Amoli J, Farhoomand AF (1996a) A structural model of end user computing satisfaction and user performance. Inf Manag 30:65–73

    Google Scholar 

  34. Etezadi-Amoli J, Farhoomand AF (1996b) The end-user computing success construct. In: Cpelho JD, Jelassi T, König W, Kremar H, O’Callaghan R, Sääkajarvi M (eds) Proceedings of the 4th European conference on information systems. Lisbon, Portugal, pp 687–697

    Google Scholar 

  35. Etezadi-Amoli J, Kersten G, Chan E, Vetchera R (2006) User assessment of e-negotiation support systems: a confirmatory study. InterNeg, INR02/06, Concordia University, InterNeg, http://interneg.concordia.ca/index.php?id=paper

  36. Fichman RG (2000) The diffusion and assimilation of information technology innovations. In: Zmud RW (ed) Framing the domain of IT management. Pinnaflex Education Resources, Cincinnati, OH, pp 105–127

    Google Scholar 

  37. Fishbein M, Ajzen I (1975) Belief, attitude, intention and behavior: an introduction to theory and research. Adison-Wesley, Reading, MA

    Google Scholar 

  38. Frijda NH (1994) Varieties of affect: emotions and episodes, moods, and sentiments. In: Ekman P, Davidson RJ (eds) The nature of emotion: fundamental questions. Oxford University Press, New York, NY, pp 59–67

    Google Scholar 

  39. Fuller RM, Dennis AR (2009) Does fit matter? The impact of task-technology fit and appropriation on team performance in repeated tasks. Inf Syst Res 20(1):2–17

    Article  Google Scholar 

  40. Garg N, Inman JJ, Mittal V (2005) Incidental and task-related affect: a re-inquiry and extension of the influence of affect on choice. J Consum Res 32(1):154–159

    Article  Google Scholar 

  41. George JM (1990) Personality, affect, and behavior in groups. J Appl Psychol 75:107–116

    Article  Google Scholar 

  42. Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Q 19(2):213–236

    Article  Google Scholar 

  43. Hartwick J, Barki H (1994) Explaining the role of user participation in information system use. Manage Sci 40(4): 440–465

    Article  Google Scholar 

  44. Iacovou CL, Benbasat I, Dexter AS (1995) Electronic data interchange and small organizations: adoption and impact of technology, MIS Q 19(4):465–485

    Article  Google Scholar 

  45. Isem AM, Geva N (1987) The influence of positive affect on acceptable level of risk: the person with a large canoe has a large worry. Organ Behav Hum Decis Process 39: 145–154

    Article  Google Scholar 

  46. Izard CE (1991) The psychology of emotions. Plenum, New York, NY

    Book  Google Scholar 

  47. Jreskog KG, Srbom D (1979) Advances in factor analysis and structural equation models. Abt Books, Cambridge, MA

    Google Scholar 

  48. Kersten G, Etezadi-Amoli J, Chan E, Vetchera R (2007) User assessment of e-negotiation support systems. In: Proceedings of the 40th Hawaii international conference on system sciences, IEEE, USA, 40(2):549–558

    Google Scholar 

  49. Kwon TH, Zmud RW (1987) Unifying the fragmented models of information systems implementation. In: Boland JR, Hirshheim R (Eds) Critical issues in information systems research. New York, John Wiley, pp 227–251

    Google Scholar 

  50. Lam JCY, Lee MKO (2006) Digital inclusiveness – longitudinal study of internet adoption by older adults. J Manage Inf Syst 22(4):177–206

    Article  Google Scholar 

  51. Lerner JS, Keltner D (2000) Beyond valence: toward a model of emotion – specific influences on judgment and choice. Cogn Emotion 14:473–493

    Article  Google Scholar 

  52. Maheswaran D, Chen CY (2006) Nation equity: incidental emotions in country-of-origin effects. J Consum Res 33(2):370–376

    Article  Google Scholar 

  53. Marakas G, Yi M, Johnson R (1998) The multilevel and multifaceted character of computer self-efficacy: toward clarification of the construct and an integrative framework for research. Inf Syst Res 9(2):126–163

    Article  Google Scholar 

  54. Marsh HW, Balla, JR, McDonald, RP (1988) Goodness-of-fit indexes in confirmatory factor analysis: the effect of sample size. Psychol Bull 103:391–410

    Article  Google Scholar 

  55. Marsh HW, Hau KT, Wen Z (2004) In search of golden rules: comment on hypothesis testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu & Bentler’s (1999) findings. Struct Equ Model 11:320–341

    Article  Google Scholar 

  56. Mathieson K (1991) Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Inf Syst Res 2(3):173–191

    Article  Google Scholar 

  57. Mohr LB (1987) Innovation theory: an assessment from the vantage point of the new electronic technology in organizations. In: Pennings J, Buitendam A (eds) New technology as organizational innovation. Ballinger, Cambridge, UK, pp 13–31

    Google Scholar 

  58. Moore GC, Benbasat I (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf Syst Res 2(3):192–222

    Article  Google Scholar 

  59. Moore GC, Benbasat I (1993) An empirical examination of a model of the factors affecting utilization of information technology by end-users. Working Paper, University of British Colombia, Faculty of Commerce, November

    Google Scholar 

  60. Pavlou PA, Fygenson M (2006) Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Q 30(1):115–143

    Google Scholar 

  61. Premkumar G, Ramamurthy K, Nilakanta S (1994) Implementation of electronic data interchange: an innovation diffusion perspective. J Manag Inform Syst 11(2):157–186

    Google Scholar 

  62. Raiffa H (1982) The art and science of negotiations. Harvard University Press, Cambridge, MA

    Google Scholar 

  63. Rogers EM (2003) Diffusion of innovation, 5th edn. Free Press, New York, NY

    Google Scholar 

  64. Russell JA (1979) Affective space is bipolar. J Pers Soc Psychol 37:345–356

    Article  Google Scholar 

  65. Sheppard BH, Hartwick J, Warshaw P (1988) The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. J Consum Res 15(3):325–343

    Article  Google Scholar 

  66. Shiv B, Fedorikhin A (2002) Spontaneous versus controlled influences of stimulus-based affect on choice behavior. Organ Behav Hum Decis Process 87(2): 342–370

    Article  Google Scholar 

  67. Straub DW, Limayem M, Karahanna-Evaristo E (1995) Measuring system usage: implications for IS theory testing. Manage Sci 41(8):1328–1342

    Article  Google Scholar 

  68. Tabachnick BG, Fidell LS (2001) Using multivariate statistics, 4th edn. Allyn and Bacon, Boston, MA

    Google Scholar 

  69. Taylor S, Todd PA (1995) Understanding information technology usage: a test of competing models. Inf Syst Res 6(2):144–176

    Article  Google Scholar 

  70. Tompson L (2002) Negotiation via information technology: theory and applications. J Soc Issues 58(1):109–124

    Article  Google Scholar 

  71. Tornatzky LG, Klein KJ (1982) Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Trans Eng Manag (EM) 29(1):28–45

    Google Scholar 

  72. Thompson RL, Higgins C, Howell JM (1991) Personal computing: towards a conceptual model of utilization. MIS Q 15(1):125–143

    Article  Google Scholar 

  73. Thompson LL (1998) The mind and heart of the negotiator. Prentice-Hall, Upper Saddle River, NJ

    Google Scholar 

  74. Triandis HC (1980) Values, attitudes, and interpersonal behavior. Nebraska symposium on motivation, 1979, beliefs, attitude and values. University of Nebraska Press, Lincoln, NE, pp 195–259

    Google Scholar 

  75. Trice AW, Treacy ME (1988) Utilization as a dependent variable in MIS research. Data Base 19(3):33–41

    Article  Google Scholar 

  76. Venkatesh V (2000) Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf Syst Res 11(4):342–365

    Article  Google Scholar 

  77. Venkatesh V, Brown SA (2001) A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges. MIS Q 25(1):71–102

    Article  Google Scholar 

  78. Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 46(2):186–204

    Article  Google Scholar 

  79. Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27(3):425–478

    Google Scholar 

  80. Vetschera RG, Kersten E, Köszegi S (2006) The determinants of NSS success: an integrated model and its evaluation. J Organ Comput Electron Commer 16(2):123–148

    Article  Google Scholar 

  81. Watson D, Clark LA (1992) Affects separable and inseparable: on the hierarchical arrangement of the negative affects. J Pers Soc Psychol 62:489–505

    Article  Google Scholar 

  82. Watson D, Clark LA, Tellegen A (1988) Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol 54:1063–1070

    Article  Google Scholar 

  83. Watson D, Tellegen A (1985) Toward a consensual structure of mood. Psychol Bull 98:219–235

    Article  Google Scholar 

  84. Zigurs I, Buckland BK (1998) A theory of task/technology fit and group support systems effectiveness. MIS Q 22(2):313–334

    Article  Google Scholar 

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Correspondence to Jamshid Etezadi-Amoli .

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Etezadi-Amoli, J. (2010). The Adoption and Use of Negotiation Systems. In: Kilgour, D., Eden, C. (eds) Handbook of Group Decision and Negotiation. Advances in Group Decision and Negotiation, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9097-3_23

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