Group norms, media preferences, and group meeting success: A longitudinal study

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Abstract

Group norms are known to have an effect on group meeting success. But to what extent do these norms affect choice of media for communication of group members, and what role does this effect play, if any, in group meeting success? This paper empirically examines these questions. It takes a novel approach in considering these questions longitudinally to investigate the importance of the formation and affect of norms over time. The study presented here showed that group norms do influence group member media preference and that, over time, these effects grow stronger. Furthermore, a strong positive association between the similarity of group media preferences and group meeting success is revealed. The paper concludes with a discussion of the importance and implications of understanding the effect of group norms on technology use and meeting success.

Introduction

Numerous theories and frameworks have been used to empirically examine how people choose different media for communication within groups and the effects of computer-mediated communication (CMC) on group meeting success (Lira et al., 2007, Sivunen and Valo, 2006). The development of these theories and frameworks is driven by the notion that effective communication is one of the key factors for group success, especially when groups are facilitated by CMC technologies (Townsend, DeMarie, & Hendrickson, 1998).

One important theory in this area is The Social Influence Model of Technology Use (SIMTU) (Fulk, 1993, Fulk et al., 1990, Fulk et al., 1987, Rice et al., 1994, Rice and Webster, 2002, Watson-Manheim and Belanger, 2007). SIMTU is grounded in the belief that social interaction and social information in the workplace shape the creation of shared meanings and that these shared meanings provide an important basis for shared patterns of media selection. It posits that social forces such as workgroup norms and co-workers’ and supervisors’ attitudes and behaviors about media will influence individual perceptions and choices of media. As a result, we may expect a similar pattern of media perceptions and choices within groups (even across tasks with different communication requirements) and different patterns of media perceptions and choices across groups (Fulk et al., 1987, Fulk et al., 1990). SIMTU has found empirical support with perceptions and choice of email being influenced by co-workers’ perceptions of and choice of the medium (Fulk, 1993, Kraut et al., 1998, Schmitz and Fulk, 1991, Webster and Trevino, 1995); however, a few issues are noteworthy.

A first issue is that few of the empirical studies that tested the SIMTU have explicitly examined the similarity of media choice within groups. Little is known about how such patterns develop within groups. According to Deutsch and Gerard (1955), there are two ways in which groups exert influences on the perceptions and behaviors of individual group members: normative and informational social influence. Normative social influence is defined as “an influence to conform with the positive expectations of another”, while informational social influence refers to “an influence to accept information obtained from another as evidence of reality” (Deutsch & Gerard, 1955, p. 303). This distinction is important. Previous investigations of social influence on media choice have concentrated on informational social influence and ignored normative social influence. Fulk (1993) and Yoo and Alavi (2001) argue that the members’ attraction to the group (group cohesion) influences workgroup technology attitudes, social presence, task participation, and group consensus. But this premise, an articulation of normative social influence, has not been discussed explicitly, especially not as a mechanism to promote similar media choices within groups. This creates a void in the literature. There is, therefore, a need to examine what role normative social influence plays in group communication media choice.

The second issue with SIMTU is that although numerous studies have examined the model in a mediated communication system, most of them stop when media choices are made (Fulk & Boyd, 1991). What are the effects of media choice? In terms of the SIMTU, nothing is known about the effect of the group similarity of media choice on group meeting success. CMC technologies have played a distinctly social and interpersonal role in organizations. Numerous theories and frameworks have been introduced to enhance CMC-mediated group meeting success (e.g., Anson et al., 1995, Baltes et al., 2002, Lira et al., 2007, Niederman and Beise, 1996, Tan et al., 1999, Yoo and Alavi, 2001). Thus, this paper aims to examine how group norms influence group media choice patterns and how such patterns, in turn, affect group meeting success.

In addition, our research addresses three criticisms of extant small group research. First, the use of ad hoc groups created specifically for laboratory experiments is criticized for biasing research findings with respect to the relationship of constructs of interest (Dennis, Nunamaker, & Vogel, 1990–91). The use of real groups faced with familiar tasks is critical in obtaining results that generalize to typical work settings (Easley, Devaraj, & Crant, 2003). Second, much existing research assumes that a group is engaged only once or only on one topic (McGrath & Hollingshead, 1994). This often leads to distortions such as activities not directly related to the measured tasks being considered by participants (Easley et al., 2003). Research based on an experimental methodology with groups being assessed in a one-off measurement ignores the effects of time and history on group social interaction and outcomes (Reinig & Shin, 2002). Previous studies have demonstrated that the results of a group effort in an initial meeting and subsequent meetings can be different (e.g., Chidambaram, 1996, Chidambaram et al., 1990–91, Walther, 1997). Thus, a longitudinal field study is called for in studying group social interaction and outcomes to reveal the true nature of the relationships between these constructs (Reinig and Shin, 2002, Yoo and Alavi, 2001). Third, most research on the effects of CMC media choice have been performed in controlled settings, and many use the method of comparing results when groups meet with and without the technology. This feature is different to actual work conditions, where information technology is used as a supplement to, rather than a substitute for, other modes of interaction. Straus (1997) found that interacting by CMC alone is inappropriate for both the instrumental and expressive functions of small groups, particularly when performing tasks that require consensus.

This study goes beyond prior research by incorporating all of these concerns into its research design: using established groups facing meaningful tasks, collecting data over multiple time periods, and communicating via all media available to the groups.

The next section illustrates our research framework. Then we discuss relevant theoretical perspectives and lay out our research hypotheses. This is followed by the detailed description of the research methods. Next, the data analyses and results are reported. Finally, the paper concludes with a discussion that focuses on interpreting the results and on examining the theoretical and practical implications of the study.

Section snippets

Research framework

To examine the above issues, we adopted an input-process-output model of group interaction (see Fig. 1) as the organizing framework. Pressure to conform to group norms (Input Variable; Normative Social Influence) may result in similar group media preferences (Process Variable: Group Similarity of Media Preferences). In turn, such interaction processes are expected to have positive impacts on group meeting success (Output Variable: Group Meeting Success). The research model explicitly

Normative social influence and group similarity of media preferences

There has long been considerable interest in how group member’s attitudes, perceptions, and behaviors are affected by his/her social environment (Trafimow & Davis, 1993). Normative social influence and informational social influence (Deutsch & Gerard, 1955) have received most attention in research (Kaplan and Miller, 1987, Trafimow and Davis, 1993). Normative social influence, based on the desire to conform to the expectations of others, proceeds from a mechanism of social exchange in which

Research method

To test our hypotheses, we collected our data in a longitudinal field study, instrumented via questionnaires. Our research setting involved 58 established student groups working on various meaningful information systems development projects with access to a full range of communication media over a 3-month period (the full life of the groups). Our research design was longitudinal in nature (Easley et al., 2003, Jehn and Mannix, 2001, Lira et al., 2007, Reinig and Shin, 2002) since we monitored

Stage one: test of the measurement models at the individual level

Table 1 summarizes the factor loadings, crossing loadings, composite reliability, correlation of constructs, and AVE for constructs for Models one and two. The analyses were conducted using the non-aggregated member responses (N = 233) collected in the sixth week and twelfth week, respectively. According to the criteria mentioned earlier, three items from group cohesion, one item from perceived outcome quality, and one item from perceived satisfaction with process were dropped from subsequent

Discussion and implications

The purpose of this study was to empirically examine how group norms influence a group’s media choice patterns and how these choice patterns, in turn, affect group meeting success. Specifically, we examined how normative social influence, as measured by group cohesion (GC), influenced group similarity of media preferences (GSMP). We also explored the consequence of such similarity of media preferences to group meeting success (GMS). As expected, GC was positively associated with GSMP, and in

Limitations and future research

Like other social science research, our study has some limitations that must be addressed. The first potential limitation was the use of a student sample and its implications for the generalizability of the results. To minimize this limitation, we used students who were engaged in naturally occurring projects and with no constraints on the media they used to support their day-to-day collaboration. Although additional research certainly needs to be done in organizational settings, we believe

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