Deam'nSuppo ELSEVIER Decision Support Systems 14 (1995) 75-83 Short note The anonymity and proximity factors in group decision support systems M.C. E r a , , , A.C. Ng b a ICS Dept, KFUPM, Box 1779, Dhahran 31261, SaudiArabia Dept of Commerce, La Trobe University, Bundoora 3083, Australia Abstract A group decision support system (GDSS) is an interactive computer-based information system which combines the capabilities of communication technologies, database technologies, computer technologies, and decision technologies to support the identification, analysis, formulation, evaluation, and solution of semi-structured or unstructured problems by a group in an user-friendly computing environment. Following the completion of GDSS facilities, preliminary results on the effects and effectiveness of GDSSs on the group decision making process have been reported. This paper sets forth to critically evaluate recent literature on anonymity of proponents and proximity of group members in connection with the use of GDSSs in group meetings. It questions the assumptions made and research methodologies used in laboratory experiments. Some of the experimental results are found to be inconclusive and contradictory. It points out why some of the experiments are unrealistic, and thus the experimental results cannot be generalized. It is argued that group dynamics, organizational settings, social contexts, and behavioral aspects are all important ingredients in shaping the outcomes of using GDSSs at group meetings, and therefore cannot be ignored by GDSS researchers. Keywords: Group decision support system (GDSS); Anonymity; Proximity; Group decision making process; Com- puter-mediated communication; Impact of information technology 1. Introduction The advents of information technologies and transnational communication networks have on the one hand made the world smaller, and on the other hand globalized businesses and markets. The fierce competition for business survival and advantages means that many business decisions * Corresponding author. have to be made more frequently, more promptly and with better quality. The rapid falling prices of information technologies and the increased performance of low-cost personal computers have opened up untried avenues for information systems planners to extend the capabilities of information systems to support top-level executive decision making. In the last two decades, the emphasis of information systems has been shifted from supporting routine transaction-based information processing to supporting semi-structured 0167-9236/95/$09.50 © 1995 Elsevier Science B.V. All rights reserved SSDI 0167-9236(94)00013-I 76 M.C. Er and A.C. Ng / Decision Support Systems 14 (1995) 75-83 or unstructured decision making at top-level management, as reflected in the change of terminology from management information systems (MISs) to decision support systems (DSSs) [10]. In large corporations, important decisions, such as strategic plans, are seldom made by a single person; more commonly, they are made by a group of senior executives. It is natural that group decision support systems (GDSSs) have been developed in the past one decade in response to the needs of executive decision makers [21]. Although the concept of computer-aided group decision making had been around for quite some time [19], physical constructions of modern facilities for supporting group decision making only occurred five years ago [13,23]. Extensive experiments on the effects and effectiveness of group decision support systems on group behaviour only carried out in the past few years; this explains the rarity of experimental results [2,6,9]. Even so, most experiments are concentrated on some very small aspects of GDSS, such as anonymity of participants and computer-mediated communications. Within such a small set of experimental results, some contradictions of findings already exist. For instance, in [5], it was found that a GDSS used in a face-to-face decision making context resulted in higher quality decisions compared with those not supported by a GDSS; but such a finding was not supported by a subsequent experiment [6]. In another example, Lewis [14] and Steeb and Johnston [22] found that GDSS group members were more satisfied than nonGDSS group members in face-to-face meetings, but the results were contradicted by Gallupe [5] and Watson [24], who found that the use of a GDSS led to less satisfaction when compared to non-GDSS group. The contradictions add more confusion to the current state of the field of group support decision systems. This paper sets forth to critically examining the current literature on group support decision systems dealing with the issues of anonymity and proximity at group meetings, and offers suggestions and criticisms to experimental assumptions and research methodologies used. It also summarizes the current state of knowledge, and pinpoints future research directions in GDSS. In particular, it is argued that research on the effects and effectiveness of GDSSs on the group decision making process cannot be carried out in isolation - group dynamics, organizational settings, social contexts, and behavioral aspects are all important ingredients in shaping the outcomes of using GDSSs at group meetings. 2. Group decision support systems Part of the inconclusive experimental results stems from the confusion about the definition of group support decision systems. Some of the experimental setups have nothing to do with GDSS at all. A group decision support system is defined as an interactive computer-based information system which combines the capabilities of communication technologies (LAN, WAN, telecommunication), database technologies (relational, hierarchical, and network models), computer technologies (mainframe computer, minicomputer, microcomputer, personal computer, VLSI system, supercomputer), and decision technologies (linear programming, integer programming, goal programming, compromise programming, multi-objective linear programming, sequential optimization, dynamic compromise programming, AHP, Electre, multi-attribute utility theory, Q-analysis, risk analysis, simulation, forecasting, statistical analysis, decision tree, etc.) to support the identification, analysis, formulation, evaluation, and solution of semi-structured or unstructured problems by a group. A schematic diagram of GDSS is shown in Fig. 1. It is clear that a group decision support system is more than just a communication system; it involves decision modelling as well. Decision modelling, of course, requires utilizations of a model base and a database for alternative assumptions and choice analyses. One of the key factors in GDSS, apart from decision modelling, is to facilitate the exchange of information, ideas, opinions, and options leading to decision making during group deliberations. Such communications can be verbal and computer-mediated, within the constraints of communication technologies. For face-to-face meetings M.C. Er and A.C. Ng / Decision Support Systems 14 (1995) 75-83 ModelBase Database identifying problematic symptoms, analysing causes of a p r o b l e m from its symptoms, g e n e r a t ing possible solutions to the p r o b l e m , e v a l u a t i n g alternative solutions, deciding which solution to adopt, a n d f o r m u l a t i n g a strategy to i m p l e m e n t the a d o p t e d solution. D u r i n g this complex process of g r o u p decision making, m a n y forms of i n f o r m a t i o n s e e k i n g / g i v i n g a n d o p i n i o n exc h a n g e take place, such as initial exploration, analysis of proposals, expression of p r e f e r e n c e , a r g u m e n t a t i o n , solution d e v e l o p m e n t , a n d implem e n t a t i o n n e g o t i a t i o n . Some a u t h o r s [1,3] p r e f e r to take an i n f o r m a t i o n exchange perspective to this phase. However, a g r o u p m e e t i n g is m o r e t h a n a formal way of solving p r o b l e m s a n d m a k i n g decisions. It is also a f o r u m for achieving a n d m a i n t a i n i n g p e e r r e c o g n i t i o n s in a n o r g a n i z a t i o n . Participants n o t only carry out collective tasks of g r o u p p r o b l e m solving, b u t also fulfil the p e r s o n a l n e e d s of social i n t e r a c t i o n s with peers. This aspect is p e r h a p s the most n e g l e c t e d o n e in the G D S S literature. W e shall r e t u r n to a discussion of this later. I Decisi°n M°delJ<~'~--~~ \ I Interactive /, I-AN User Interface Fig. 1. A schematic diagram for a group decision support system. of a group, or m e e t i n g s within close proximity, a local-area network, c o u p l e d with electronic mail facilities, is the s t a n d a r d technology used for achieving g r o u p c o m m u n i c a t i o n . T h e m a i n p u r p o s e of G D S S s is to facilitate the so-called collective i n t e l l i g e n c e d u r i n g group meetings. T h e g r o u p p r o b l e m solving p r e c e d e s the g r o u p decision m a k i n g , b o t h are c o m p o n e n t s of the g r o u p decision m a k i n g process. Specifically, the g r o u p decision m a k i n g process involves Table 1 The pros and cons of making participants anonymous Pros Enhance equal participation (especially of junior or shy members) - Expression of unpopular, novel, heretical opinions is addressed at ideas, not person Criticism - Sensitive issues can be group meetings with the help of GDSSs Cons - - at Deindividuation leads to deviant, harmful, or socially undesirable behaviour Social consequences are less positively or negatively experienced - Controversial views may surface but would otherwise subdue - - d i s c u s s e d on unworkable ideas which have known from experience W a s t e - A decision is based on merit rather than compromise - - - - time Flaming - uninhibited comments, and use of strong language - Lack of social-emotional support - - Don't know who favours what Avoid embarrassing Avoid hostility - Avoid conformity to pressure - Avoid fear of punishment - Avoid dominance Avoid extreme influence of high-status member - Avoid lack of acknowledgment of lowstatus member Avoid low tolerance of minority 77 78 M.C. Er and A.C. Ng / Decision Support Systems 14 (1995) 75-83 For theories and conceptual frameworks of GDSSs, the reader is referred to [3,18,8,15]. and open expression of opinions at group discussions, which would be healthier than those without the assistance of GDSS technology. 3. Anonymity of participants (ii) Avoiding dominance by some members Groups meetings generally dominated by high-status, more experienced or senior members. As a result, group meetings tend to endorse their proposals. It is suggested that the extreme influence of high-status members can be avoided if contributions of ideas and opinions are made anonymous. Furthermore, this approach makes group members don't know who favours what, thus reducing the pressure to conform at group meetings. To some extent, it also reduces the danger of group-think. One of the widely studied aspects of GDSSs is the anonymity of proponents and its impact on the outcomes of group decision made [5,2,23,9]. The results are inconclusive and contradictory. The pros and cons of making participants anonymous at group meetings may be summarized in Table 1. The details are discussed below. 3.1. The pros of having anonymity Those who propose the use of GDSSs take a positive view of the anonymity of proponents at group meetings that are supported by GDSS technology. Typically anonymity at group meetings (including face-to-face meetings) is achieved via the use of electronic mail on a local-area network. At the time of electronic brainstorming, idea generation, or idea solicitation, the association between an idea or an opinion and its proponent can be suppressed by a computer. The perceived or suggested b e n e f i t s / a d v a n t a g e s can be summarized as follows. (i) Enhance equal participation The e n h a n c e m e n t of equal participation by group members, regardless of seniority, at a group meeting has been cited as one of the key ingredients of GDSS [3,16]. This is especially so for junior or shy members, who are nervous about speaking at a group meeting, for fear of embarrassment or punishment because of saying something wrong or offensive. Sometimes saying something wrong in public can be traumatic to junior members, whose performance and competence are being judged at all time. On the other hand, the lack of acknowledgment of an idea attributed to a low-status m e m b e r can be avoided as its source is no longer traceable, as a good idea may be mistaken to come from a senior member. The anonymity of proponents thus contributes to the improved atmosphere of free exchange of ideas (iii) Criticism is addressed at an idea, not a person If the link between a person's name and an idea or an opinion is suppressed, criticisms at an idea or an opinion can be levelled without hurting the feelings of the proponent. It thus allows free expression of unpopular, novel, or heretical opinions without fear of hostility subsequently. In some cases, sensitive issues can be discussed before a corporation's authority. It opens up more opportunities for discussing sensitive issues, which would otherwise not discussed at all. Furthermore, it also avoids the low tolerance of minority at a group meeting. (iv) Secret voting encouraging decisions based on merit Electronic voting is a direct implementation of the p a p e r ballot system. If the name of a voter, but not the vote itself, is suppressed, secret voting in respect of an issue can be achieved. Secret voting is considered paramount important in achieving voter independence, which is a pre-requisite for encouraging decisions based on merit. A GDSS with its computer communication facilities can support rapid vote tallying, and thus can have more frequent preliminary votes to have a feel about the majority of group members' feelings before the final decision, assisting a more rapid convergence toward consensus based on merit. M.C. Er and A.C. Ng / Decision Support Systems 14 (1995) 75-83 3.2. The cons of having anonymity The impact of a GDSS with anonymity of proponents on the group decision making process is not always positive, unfortunately. Some of the noted bad influences can be summarized below. (i) Deindividuation Deindividuation occurs when an individual loses his sense of self-identity and self-awareness in a group context, and becomes submerged in a group. It can lead to deviant, harmful, or socially undesirable behaviour, including lynch mobbing and " m a s s hysteria". Sometimes it manifests as a problem of flaming, i.e. uninhibited comments, and use of strong language at a group meeting. Flaming can divert the attention of a group meeting from its original objectives to a war of words, even though group m e m b e r s communicate to each other anonymously. If a war of words would break out, the atmosphere of a group meeting would become hostile, thus damaging any prospect of fruitful discussion. A reduction of normal inner restraints due to deindividuation generally leads to undesirable social behaviour. (ii) Controversial views and unworkable ideas may surface Due to the lack of individual identity under the anonymity situation, controversial views may surface but would otherwise be subdued. Sometimes a group may waste time on unworkable ideas which have been known from past experience of some senior members that they were unworkable, but they must now be explained at a group meeting because some junior m e m b e r s raise the issues. These are some of the side-effects of entertaining the anonymity of proponents. 79 social interactions with peers. Furthermore, social consequences are less positively or negatively experienced with the use of anonymity mechanism at group meetings. 3.3. Critical evaluation of research methodologies Following the completion of GDSS facilities [23], experimental results start to emerge from the use of the GDSS technologies. Two recently reported experiments [2,9] involve the use of anonymity factor with a GDSS in group decision settings. In both cases, students were used as subjects to solve the university's parking problem. The reason given for using student subjects was that "it was difficult to recruit executive groups to participate in a field experiment" [9, p. 269]. Although the reason given was genuine, the experimental results obtained were too restrictive that their validity cannot be generalized. Students were called upon to a group meeting for the sole purpose of experimentation, they were temporary, low-stake, and generally stranger-to-stranger type of relationship. Several shortcomings can be identified, and are summarized below. (i) No personal relationships A random assembly of students means that personal relationships among them do not exist. The lack of such a social web of personal relationships also means that the experimental results cannot be generalized to a corporate context in which such working relationships generally exist among group members. Furthermore, the lack of personal histories in a specific context means that the experimental results obtained are not realistic. (ii) No political power structures (iii) Lack of social-emotional support People come to a group meeting to complete some tasks assigned to the group. However, people are not machines; they need social and emotional support as well, either to share the same thoughts or to comfort one's feelings. The use of electronic mail and anonymity of proponents at group meetings takes away the satisfaction of In an organizational context, the hierarchical relationships among employees mean that there exists a power structure among group members. Within a random assembly of students, such a power structure generally does not exist. Thus the commonly seen activities within a group, such as political agenda setting, personal interests, etc., also do not exist. It is known that power relation- 80 M.C. Er and A.C. Ng /Decision Support Systems 14 (1995) 75-83 ships sometimes can alter group decisions made. The lack of power structure again means that the experimental results obtained are not realistic. (iii) Alliances among group members On real contentious issues that come with personal attachment, people generally try to influence other group members formally or informally, perhaps to form an alliance with a view to tipping group meetings to their favour. Thus group decisions are sometimes influenced by tasks undertaken. The use of university's parking problem as a task for the group problem solving purpose may not be representative enough for the experimental results to be generalized to other task situations. In other words, the issue of tasks is an added dimension for consideration. 4. Proximity and computer-mediated communication The proximity of participants in using group decision support systems with or without computer-mediated communications may be further classified into the following three categories: (i) face-to-face meeting using a GDSS without computer-mediated communication; (ii) face-to-face meeting using a GDSS with computer-mediated communication; (iii) dispersed group meeting using a GDSS with computer-mediated communication. The first two types are known as decision room or legislation session, whereas the third one is known as local-area decision network or computer-mediated conference [3]. The experimental results are less controversial, but still some contradictions have been noted [6,9]. The findings are summarized below. (i) Face-to-face meeting using a GDSS without computer-mediated communication Face-to-face group meetings supported by GDSS technology without computer-mediated communication are more apt to reach consensus, but no relationship between decision quality and consensus is found. Group members working in this context tend to agree more explicitly. (ii) Face-to-face meeting using a GDSS with computer-mediated communication At face-to-face group meetings supported by GDSS technology with computer-mediated communication, members tend to participate more equally and also more inhibitedly. The contents of computer-mediated communications are more of opinion-giving type. The impersonal communications among group members, however, increase the perceived distance among them. In respect of high quality decision made, contradictory empirical results were obtained [5,6]. (iii) Dispersed group meeting using a GDSS with computer-mediated communication For dispersed-group meetings supported by GDSS technology with computer-mediated communication, interpersonal conflict was found to be increased [20]. Communication is less efficient because of the need to type messages at keyboards, but the perceived distance among group members is decreased. Generally, decision takes longer to reach in this context than those of face-to-face group meetings supported by GDSS technology with computer-mediated communication. As a result, overall participants' satisfaction declines. Surprisingly, it was found that a GDSS did not significantly aid the dispersed-group situation in decision making [6, p. 10]. Finally, in respect of choice shift, contradictory experimental results were obtained [12,6]. The computer-mediated communication used in GDSSs is not without its faults. It is known that written texts, either via the electronic mail or other means, formalize interpersonal exchange. The use of electronic mail at a group meeting shifts the attention to tasks with increased impersonal communication, because social cues are lost which would otherwise be present in a direct face-to-face voice communication. As a result, the emphasis is moved towards high quality decisions, but less towards social-emotional type of communications. 5. Combination of anonymity and proximity A combination of anonymity and proximity factors at group meetings using GDSS technolo- M. C. Er and A. C. Ng / Decision Support Systems 14 (1995) 75-83 PROXIMITY Face-to-face Dispersed o z 0 < More critical comments Most but short comments Least but long comments More critical comments Fig. 2. Experimental results on a group decision support system with a combination of anonymity and proximity factors. gies has also been tried out [9]. The experimental results are summarized in Fig. 2. Under the anonymous and dispersed conditions, group meetings generate most but short comments, which are concerned with problem definitions and clarifications. In contrast, under the identified and face-to-face conditions, group meetings generate least but long comments. On the other hand, under the anonymous and faceto-face conditions, group m e m b e r s utter more critical comments; likewise for the case under the identified and dispersed conditions. Generally, group m e m b e r s who were present in the same room were more satisfied with their experience, and the anonymous group saw a GDSS as a more effective tool than the identified group felt [9, p. 276]. It is however not known how the task complexity would affect the group behaviour. 6. Concluding remarks The needs of business organizations and other entities to solve problems and make decisions involving more than one person naturally result in group meetings, which provide the required collective wisdom. The emergence of group decision support systems is a direct response to the needs of group meetings in improving the efficiency and effectiveness of the group decision making process. On the one hand, GDSSs with their computer technologies can rapidly search 81 and retrieve information from internal and external databases to assist group m e m b e r s in reaching timely and informed decisions. On the other hand, the provision of various decision technologies in the form of software does formalize some of the decision procedures. Thus GDSSs offer a unique opportunity, unprecedential in history, to impact on the quality and timeliness of decisions made. The preliminary experimental results on the effects and effectiveness of the group decision making process, as reported in the literature, are still sketchy, not to mention about some of the inconclusive and contradictory findings. Among many other outstanding and unsolved issues in connection with GDSSs, we point out the following notable ones, which require research attention. - The popular approach of using student subjects in laboratory experiments should be abandoned. The use of student subjects carries with it many unrealistic experimental parameters: no prior personal relationships, no complex personal histories, no power structures, no social web of interconnections, no alliances, no political agendas, no hierarchical relationships, no organizational contexts, no real contentious issues with personal attachment, no conflict of interests, etc. All in all, it makes the results impossible to generalize, and in some cases, proving nothing. - One of the key factors repeatedly ignored by all researchers .is that people do talk before and after group meetings outside a meeting room. These extra channels of communication can sometimes alter decisions made at group meetings. Furthermore, these extra channels also made anonymity in small-group meetings not possible. - The Hawthorne effect of assessing the impact of GDSSs cannot be overlooked. Subjects learn how to operate GDSSs afresh and thus carry with them the initial excitement and enthusiasm. R e p e a t e d and long-term use of GDSSs may yield different results. Self-reported assessment has been known to be unreliable, as it lacks objective measure for many performance criteria of real-world interests. 82 M.C. Er and A.C. Ng /Decision Support Systems 14 (1995) 75-83 - R e s e a r c h e r s have overlooked the fact that stake-holders can decide whether or not to use GDSSs at all. If one's influence and interests are eroded as a result of using GDSSs, one can try to influence the adoption of GDSSs at group meetings. - The group dynamics aspect has been entirely ignored by GDSS researchers. Issues such as norms, leadership, power, role model, group cohesion, group stability, personal attraction, social and emotional support, motives, attitude, etc., which are well-known in organizational behaviour literature [4], have not been addressed by GDSS researchers. - The use of anonymity of proponents at group meetings to reduce the dominance of highstatus members may not be appropriate. Sometimes it is the experience, expertise, knowledge, information and clever argumentation that win the dominance of an individual member at group meetings, not his seniority in an organization. - Anonymity of proponents at group meetings can lead to undesired effects, such as social loafing (free riding) [11,7] and cognitive loafing (subjects who expect their works to be pooled with other's contribute less mental effort than others at group discussions). - GDSSs with their access to databases can provide more information at group meeting. However, more information does not imply better consensus reached by the group. To the contrary, more information sometimes can result in fewer agreements reached, more conflict at group discussions, less satisfaction experienced by group members, though it can generate more and better solutions to diagnostic and problem-finding tasks. It should be noted that consideration of more alternatives and more in-depth analyses of those alternatives can lead to the reverse effect: group members are less sure that they have made the best decision after a long deliberation. In general, high decision quality does not imply high user satisfaction. - Some trivial matters also require special attention. The use of electronic mail at face-to-face meetings in order to achieve anonymity neces- sitates that executives type at the keyboards for messages to be sent. In some circles, typing is considered as a secretary's job [17]; and thus executives may view this activity as distasteful and down-grading, not to mention that some executives have no keyboarding skills - the whole process can be time wasteful. Furthermore, for those group members who are computer illiterate, the pressure and demands to learn GDSSs may lead to techno-stress. From the above discussions, it appears that a change of research methodology is required in order to assess the impact of GDSSs on real-world group decision making. To obtain realistic results, a longitudinal study involving real executives in actual organizational settings will be mandatory. Nevertheless, the critical evaluation of recent experimental results as discussed in this paper does shed some light on future research directions that should be undertaken. Acknowledgements The use of K F U P M ' s and LTU's facilities in undertaking this research and in preparing this paper is gratefully acknowledged. 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Watson, The Impact of a Computer System on Individual Behaviour and Collective Decision Making in a Group Meeting, PhD Dissertation, University of Minnesota, Minneapolis (1987). M.C. Er is a full professor at KFUPM. An author of more than 100 refereed journal papers, Dr. Er is active in research in artificial intelligence, neural networks, algorithms, software engineering, information systems, decision support systems, and strategic planning for information systems. He is currently an editor of Journal or Information Science and Technology. A.C. Ng teaches at La Trobe University, where she joined in 1991. Dr. Ng is active in research in human information processing, decision making, prediction of corporate failure, decision support systems, accounting information systems, and use of computers in accounting curriculum. She is a Fellow of the Australian Society of Accountants.