본문 바로가기
KERD
논문KCI 등재

The Fixed-Pie Perception and Joint Outcomes in Synchronous and Asynchronous Computer-Mediated Negotiation: Focusing on the Moderating Role of Emoticons

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

The extant research has mainly focused on investigating differences within asynchronous computer-mediated communication, such as e-mail, supplementing the face-to-face negotiation process and outcomes. The advancement of information and communication technologies has introduced synchronous communication tools such as instant messaging. Even though communicators cannot physically see, this mediaclosely reassembles face-to-face communication in terms of turn-taking tempo. Moreover, this development has allowed communicators to express their emotions using graphic signs called emoticons. This research proposes that negotiating via other computer-mediated communications may produce divergent outcomes in the negotiation process. Specifically, negotiation via instant messaging can further reduce negotiators’ fixed-pie perception compared to e-mail negotiation, which can result in higher joint outcomes. Moreover, the presence or absence of emoticons in the conversation moderates this relationship. The emoticon is often used to express one’s emotion in conversation via instant messaging, regardless of context. However, previous research maintained that emoticons should be carefully used in a business conversation because the context differs from a casual interaction. Communicators are cautioned about its usage when they have a business conversation through e-mail. This is because of the prevalence of emoticons in instant messaging, where messages containing emoticons appear less unusual. Therefore, this research proposed that emoticon usage can differentiate the level of negotiators’ fixed-pie bias in both instant messaging and e-mail conditions. The results showed that the emoticon usage led to lower the fixed-pie perception if the negotiator communicated via instant messaging than via e-mail. Nevertheless, the full model of this research, whether the above-mentioned factors influence negotiators’ joint gain, was not statistically significant. The theoretical and practical implications of this study are discussed.

Abstract

The extant research has mainly focused on investigating differences within asynchronous computer-mediated communication, such as e-mail, supplementing the face-to-face negotiation process and outcomes. The advancement of information and communication technologies has introduced synchronous communication tools such as instant messaging. Even though communicators cannot physically see, this mediaclosely reassembles face-to-face communication in terms of turn-taking tempo. Moreover, this development has allowed communicators to express their emotions using graphic signs called emoticons. This research proposes that negotiating via other computer-mediated communications may produce divergent outcomes in the negotiation process. Specifically, negotiation via instant messaging can further reduce negotiators’ fixed-pie perception compared to e-mail negotiation, which can result in higher joint outcomes. Moreover, the presence or absence of emoticons in the conversation moderates this relationship. The emoticon is often used to express one’s emotion in conversation via instant messaging, regardless of context. However, previous research maintained that emoticons should be carefully used in a business conversation because the context differs from a casual interaction. Communicators are cautioned about its usage when they have a business conversation through e-mail. This is because of the prevalence of emoticons in instant messaging, where messages containing emoticons appear less unusual. Therefore, this research proposed that emoticon usage can differentiate the level of negotiators’ fixed-pie bias in both instant messaging and e-mail conditions. The results showed that the emoticon usage led to lower the fixed-pie perception if the negotiator communicated via instant messaging than via e-mail. Nevertheless, the full model of this research, whether the above-mentioned factors influence negotiators’ joint gain, was not statistically significant. The theoretical and practical implications of this study are discussed.

참고문헌 (46)

  1. Arunachalam, V., "Judgment accuracy and outcomes in negotiation : A causal modeling analysis of decision-aiding effects", Organizational Behavior and Human Decision Processes, 61(3), pp.289~304 (1995)[DOI]
  2. Bazerman, M. H., "Negotiating in Organizations" (1983), Sage Publications, Inc
  3. Byron, K., "Carrying too heavy a load? The communication and miscommunication of emoticon by e-mail", Academy of Management Review, 33(2), pp.309~327 (2008)[DOI]
  4. Carnevale, P. J., "Culture of the Internet", pp.233~252 (1997), Erlbaum
  5. Citera, M., "An experimental study of credibility in e-negotiations", Psychology & Marketing, 22(2), pp.163~179 (2005)[DOI]
  6. Daft, R. L., "Organizational information requirements, media richness and structural design", Management Science, 32(5), pp.554~571 (1986)[DOI]
  7. De dreu, C. K. W., "Unfixing the fixed pie : A motivated information-processing approach to integrative negotiation", Journal of Personality and Social Psychology, 79(6), pp.975~987 (2000)[DOI]
  8. De dreu, C. K. W., "Influence of social motives on integrative negotiation : A meta-analytic review and test of two theories", Journal of Personality and Social Psychology, 78(5), pp.889~905 (2000)[DOI]
  9. Derks, D., "Emoticons in computer-mediated communication : Social motives and social context", CyberPsychology & Behavior, 11(1), pp.99~101 (2008)[DOI]
  10. Dorado, M. A., "Computer-mediated negotiation of an escalated conflict", Small Group Research, 33(5), pp.509~524 (2002)[DOI]
  11. Dresner, E., "Functions of the nonverbal in cmc : Emoticons and illocutionary force", Communication Theory, 20(3), pp.249~268 (2010)[DOI]
  12. Galin, A., "E-negotiation versus face-to-face negotiation what has changed-if anything?", Computers in Human Behavior, 23(1), pp.787~797 (2007)[DOI]
  13. Gettinger, J., "Outlooks and Insights on Group Decision and Negotiation", pp.289~305 (2015), Springer
  14. Giordano, G. A., "The influences of deception and computer-mediation on dyadic negotiations", Journal of Computer-Mediated Communication, 12(2), pp.362~383 (2007)[DOI]
  15. Glikson, E., "The dark side of a smiley : Effects of smiling emoticons on virtual first impressions", Social Psychological and Personality Science, 9(5), pp.614~625 (2018)[DOI]
  16. Katsh, E., "Online conflict management : resolving conflicts in cyberspace" (2001), Jossey Bass
  17. Kern, M. C., "The"fixed"pie perception and strategy in dyadic versus multiparty negotiations", Organizational Behavior and Human Decision Processes, 157(1), pp.143~158 (2020)[DOI]
  18. Klaming, L., "I want the opposite of what you want : Reducing fixed-pie perceptions in online negotiations", Journal of Dispute Resolution, 2009(1), pp.139~162 (2009)
  19. Knutson, B., "Facial expressions of emotion influence interpersonal trait inferences", Journal of Nonverbal Behavior, 20(3), pp.165~182 (1996)[DOI]
  20. Krohn, F. B., "A generational approach to using emoticons as nonverbal communication", Journal of Technical Writing and Communication, 34(4), pp.321~328 (2004)[DOI]
  21. Kruger, J., "Egocentrism over e-mail: Can we communicate as well as we think?", Journal of Personality and Social Psychology, 89(6), pp.925~936 (2005)[DOI]
  22. Lelieveld, G-. J., "Does communicating disappointment in negotiations help or hurt? Solving an apparent inconsistency in the social-functional approach to emoticons", Journal of Personality and Social Psychology, 105(4), pp.605~620 (2013)[DOI]
  23. Loewenstein, J., "At a loss for words : Dominating the conversation and the outcome in negotiation as a function of intricate arguments and communication media", Organizational Behavior and Human Decision Processes, 98(1), pp.28~38 (2005)[DOI]
  24. Lour, T., "The effect of emoticons in simplex and complex task-oriented communication : An empirical study of instant messaging", Computers in Human Behavior, 26(5), pp.889~895 (2010)[DOI]
  25. Mehrabian, A, "Silent messages : Implicit communication of emotions and attitudes" (1971), Wadsworth Publishing Co
  26. Mehrabian, A., "Decoding of inconsistent communications", Journal of Personality and Social Psychology, 6(1), pp.109~114 (1967)[DOI]
  27. Munter, M., "Business e-mail : Guidelines for users", Business Communication Quarterly, 66(1), pp.26~40 (2003)[DOI]
  28. Naquin, C. E., "Online bargaining and interpersonal trust", Journal of Applied Psychology, 88(1), pp.113~120 (2003)[DOI]
  29. Pietroni, D., "Emotions as strategic information : Effects of other’s emotional expressions on fixed-pie perception, demands, and integrative behavior in negotiation", Journal of Experimental Social Psychology, 44(6), pp.1444~1454 (2008)[DOI]
  30. Pinkley, R. L., ""Fixed pie"a la mode : Information availability, information processing, and the negotiation of suboptimal agreements", Organizational Behavior and Human Decision Processes, 62(1), pp.101~112 (1995)[DOI]
  31. Prada, M., "Motives, frequency and attitudes toward emoji and emoticon use", Telematics and Informatics, 35(7), pp.1925~1934 (2018)[DOI]
  32. Provine, R. R., "Emotional expression online : Emoticons punctuate website text messages", Journal of Language and Social Psychology, 26(3), pp.299~307 (2007)[DOI]
  33. Pruitt, D. G, "Negotiation behavior" (1981), Academic Press
  34. Putnam, L. L., "Challenging the assumptions of traditional approaches to negotiation", Negotiation Journal, 10(4), pp.337~346 (1994)[DOI]
  35. Rezabek, L., "Visual cues in computer-mediated communication : Supplementing text with emoticons", Journal of Visual Literacy, 18(2), pp.201~215 (1998)[DOI]
  36. Richter, F. G. C., "Aggregate versus disaggregate data in measuring school quality", Journal of Production Analytics, 25(3), pp.279~289 (2006)[DOI]
  37. Rosen, L. D., "The media and technology usage and attitudes scale : an empirical investigation", Computers in Human Behavior, 29(6), pp.2501~2511 (2013)[DOI]
  38. Schwarz, N., "Mood, misattribution, and judgments of well-being : Informative and directive functions of affective states", Journal of Personality and Social Psychology, 45(3), pp.513~523 (1983)[DOI]
  39. Simmons, J. P., "False-positive psychology : Undisclosed flexibility in data collection and analysis allows presenting anything as significant", Psychological Science, 22(11), pp.1359~1366 (2011)[DOI]
  40. Thompson, L., "Social perception in negotiation", Organizational Behavior and Human Decision Processes, 47(1), pp.98~123 (1990)[DOI]
  41. Thompson, L., "Negotiating via information technology : Theory and application", Journal of Social Issues, 58(1), pp.109~124 (2002)[DOI]
  42. Van Kleef, G. A, "The interpersonal dynamics of emotion : Toward an integrative theory of emotions as social information" (2016), Cambridge University Press
  43. Wall, H. J., "An exploration of psychological factors on emoticon usage and implications for judgement accuracy", Computers in Human Behavior, 62, pp.70~78 (2016)
  44. Walther, J. B., "The impacts of emoticons on message interpretation in computer-mediated communication", Social Science Computer Review, 19(3), pp.324~347 (2001)[DOI]
  45. Walther, J. B., "Handbook of Interpersonal Communication", pp.529~563 (2002), Sage
  46. Weingart, L. R., "Knowledge and the sequential processes of negotiation : A markov chain analysis of response-in-kind", Journal of Experimental Social Psychology, 35(4), pp.366~393 (1999)[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (1건)