The application of teamwork has increased within all types of organizations over the last decades. Indeed, work teams and project teams are frequently used to generate and to implement new ideas -. This may be due to the assumption that a group of people can produce something exceeding that which each of them could produce alone. Amabile and Pillemer  highlighted the team context as a key aspect of the external social environment in the componential theory of creativity. The creative synergy in teams is related to the cognitive input as heterogeneous perspectives, team member characteristics and interpersonal interaction that may promote creativity. Diversity among the team members in different aspects can aid the creative process but also make it more difficult by limiting common understanding .
A dynamic relationship between individual and team-level creativity has been suggested . Cropley and Cropley  claimed that individual psychological factors and processes were not adequately addressed in research on organizational creativity. The role of individual processes or outcomes, such as affects and individual creative behaviour, has not been stressed so much in team research . Tagger   explored the relationship between individual creativity and group creativity and found that individual creativity as well as team creativity-relevant processes influenced group creativity. In addition, team member creativity, team processes and team creativity have been addressed in other studies suggesting a multi-level framework of team creativity  . However, the influence of individual affects on team creativity has not so far been studied.
The aim of the present study was to examine the relationship between team members’ affective well-being and team creativity in project teams. Furthermore, the purpose was to examine the impact of diversity in gender, age and educational background on team members’ affective well-being and team creativity.
2. Literature Review
2.1. Team Member Affects and Team Creativity
The influence of mood on creativity has been studied widely, mainly in laboratory settings. In a meta-analysis of research of the relationship between mood and creativity, Bass, De Dreu, and Nijstad  concluded that positive mood states, such as happiness, facilitate creativity. Furthermore, a combination of tone and activation has been suggested to capture the affective space. Happy and elated are examples of mood states that are activating and positive in tone. De Dreu, Nijstad, and Bass  proposed that individuals with strong behavioural activation are more creative due to increased flexibility.
Result from a field study of the affective-creative relationship at work indicated that positive affect was positively related to creativity, and cognitive variation is suggested as an important mediation process. Positive affect increases cognitive flexibility and the probability that cognitive element will be associated in new ways . Amabile et al.  argued that affect need to be integrated into theories of creativity. Affect has also been found to mediate the relationship between cognitive style diversity and perceived creativity in a study conducted by Kurtzberg . Furthermore, organizational creativity and individual psychological well-being has been shown to be related .
In the current study, a model of affective well-being developed by Warr   was adopted. This model sets its starting-point in the same theoretical models as the abovementioned research on mood, which involves pleasure (tone) and arousal (activation) . Combining pleasure (horizontal axis) with arousal (vertical axis), Warr  then added two diagonal axes to the model: depression-enthusiasm and anxiety-con- tentment. Depression is experienced when arousal and pleasure are both low, while enthusiasm is experienced when they are both high. Anxiety is experienced when pleasure is low and anxiety is high, while contentment is experienced under the opposite conditions.
Warr  found that affective well-being is associated with psychological growth and self-actualization. An advantage of using Warr’s model to capture team members’ affective well-being is that it is in line with intrinsic motivation described by Amabile , and which is confirmed to be related to creativity. Intrinsic task motivation means that a task is undertaken because it is interesting, involving, personally challenging or satisfying . Later, Warr  also related his model to the concept of happiness, as affective well-being, happiness can be captured through the combination of enthusiasm and contentment.
2.2. Diversity, Affective Well-Being and Team Creativity
The effects of different types of diversity on team creativity and innovation have been addressed in several studies -. The research focuses on demographic diversity as well as heterogeneity in function and education. However, the result of diversity research, in general, is inconsistent . One key issue is how diversity affects team outcome as team creativity as well as group member subjective well-being. Exposure to diverse knowledge and perspectives, due to gender, age or education, may facilitate creativity in teams through increasing the cognitive resources available in the creative process . On the other hand, the social life in the team such as social categorization processes may interact with the cognitive processes  . Thus, diversity frequently is associated with negative affective reactions . However, different types of diversity have been suggested to have different impact on individual creativity in teams and team performance. Social category diversity, as gender and age, has been found to be related to lower levels of individual creativity and team performance than informational diversity, as educational background, which seems to have a more positive influence  .
The interaction between cognitive and social processes creates the context of the team members’ subjective well-being. Depending on the team’s functioning, the individual team member can be supposed to feel anxious, enthusiastic, content, depressed, and so on . Further, the experienced feelings can be assumed to influence how creative the team will be in the project work.
The present study contributes to the understanding of teamwork in exploring the impact of social category and informational diversity on team members’ affective well-being as well as creativity in teams. Furthermore, the influence of individual affects on team creativity is examined. A model of the relationship between diversity in gender, age and education, enthusiasm and contentment, and perceived team creativity was created in order to test the following hypotheses:
H1: Diversity in gender and age has a negative influence on affective well-being and perceived team creativity
H2: Diversity in educational background has a positive influence on affective well- being and perceived team creativity
H3: Team members’ affective well-being has a positive impact on perceived team creativity.
3.1. Participants and Setting
The participants were undergraduate students in a 20-week project management course. Most of the participants had previously studied other subjects and now wanted to strengthen their education with the project management course to make them more attractive on the employment market.
The students’ main task during the course was to perform a real project and to analyze the project process and outcome in relation to the course literature. The students organized themselves into project teams at the beginning of the course and were free to choose their project’s subject within the frame of creating a new service or product. Commercial, as well as non-profit projects were initiated. The project teams worked autonomously and had no formal leader.
Data were collected from five project management courses. Each team member answered a questionnaire following a lecture midway through the course. At that time, the project teams had been working together for approximately two months. Students that were not present at the lecture had the questionnaire sent to their home address. The questionnaire contained questions about gender, age, earlier education and which project team the participant was a member of. Furthermore, the team members judged their affective well-being in the team’s work and their perception of the team’s creativity. The completed questionnaires were either handed in or sent in anonymously.
In the present study teams with a response rate of 80% or higher was included. The number of team members ranged from 4 to 10 and in total 173 team members within 29 teams answered the questionnaire. The gender breakdown was 66% female and 34% male. The breakdown of age categories was as follows: under 25 years, 61%, between 25 and 35 years, 31%, 36 years or older, 8%. Regarding educational background, 82% had studied other subjects at the university before entering the project management course, while 70% had studied longer than one and a half years. Their earlier studies were coded into two categories, science (for example mathematics and engineering) and arts (for example literature and sociology). Of these, 62 % were classified as students in arts, and 38% students in science.
3.2.1. Diversity Assessment
Age, gender and educational background were all measured as categorical variables. The formula recommended by Teachman  in which data are categorical, was used to compute team diversity for each diversity dimension. Age was re-coded into two categories (under 25 years and 25 years and older), which means that all diversity variables had the same number of categories and were, thus, comparable . The diversity score varied between 0.00 (team members from only one category) and 0.70 (the same proportion of team members from both categories).
3.2.2. Well-Being Assessment
The two scales developed by Warr  were used to measure well-being. The depression-enthusiasm scale contains six adjectives: depressed, gloomy, miserable, cheerful, enthusiastic and optimistic. The anxiety-contentment scale also consists of six adjectives: tense, uneasy, worried, calm, contented and relaxed. The respondents indicated on a six-point scale to which degree the work in the project team made them feel like the adjectives. The response scale ranges from never (1) to all of the time (6). The first three items in each scale is reverse coded so that the summary scores indicate enthusiasm and contentment. Cronbach’s alpha was 0.85 for the depression-enthusiasm scale and 0.73 for the anxiety-contentment scale in the current study.
3.2.3. Team Creativity Assessment
In order to measure team creativity, the team member’s subjective ratings were used. This is in line with Runco’s  argument that from a process-oriented view, creativity may better be captured through participant subjective ratings than expert ratings. The perceived degree of team creativity was measured with two items in line with Amabile, Burnside and Gryskiewicz . The respondents judged on a scale with seven steps how creative respectively innovative their team was. Cronbach’s alpha was 0.85.
3.3. Data Analysis
The data analyses were conducted at an individual level. The reason for this is that well-being is essentially an individual-level concept, which loses meaning if aggregated to a team level . SPSS 20 was used for the data analyses. Means and standard deviation for the scales was calculated. Correlation analysis was conducted applying Pearson’s product moment correlation (Table 1).
In order to test the impact of diversity on well-being and team creativity as well as the impact of enthusiasm and contentment on perceived team creativity, a LISREL 8.72 structural equation modeling was carried out . The first path diagram testing the relationships between diversity in gender, age and education and enthusiasm, contentment and team creativity showed a poor fit between the predicted and the observed
Table 1. Means, standard deviations, and correlations between diversity variables, and enthusiasm, contentment and team creativity (N = 173).
**p < 0.01.
covariance matrices (X2 = 97.08, df = 7, p = 0.00, RMSEA = 0.754). The modification index suggested a path between enthusiasm and contentment. After adding that relationship the model (Figure 1) fitted the data perfectly (X2 = 0.00, df = 0, p = 1.00, RMSEA = 0.00).
Descriptive statistics and correlation are presented in Table 1. The results show that among the diversity variables, age had the highest diversity within the teams, followed by educational background and gender. Furthermore, it can be seen that the two well- being variables were rated rather highly by the team members, indicating that the work in the project teams made them feel enthusiastic most of the time and made them feel content often to most of the time. The team members perceived the team creativity as relatively high.
As can be seen in Table 1, the correlation analysis showed no significant correlations between the diversity variables and the well-being variables or perceived team creativity. The result also showed that the correlation between the two well-being variables was high and significant (r = 0.78, p < 0.01). In addition, the result showed that perceived team creativity was positively and significantly correlated with enthusiasm (r = 0.47, p < 0.01) and contentment (r = 0.36, p < 0.01).
The result of the structural equation modeling is presented in Figure 1. The estimates between gender and age diversity and enthusiasm were negative. The result showed a positive estimate between educational diversity and enthusiasm. However, none of these estimates were significant. The estimates between age and educational diversity and contentment were low and non-significant. The estimate between gender diversity and contentment was positive and significant (t(173) = 2.72, p < 0.05).
Further, the result showed that the estimates between diversity in gender and educational background and team creativity were low and negative. The estimate between age diversity and team creativity was positive. None of these estimates were significant.
The estimate between the two well-being dimensions was positive and significant
Figure 1. Path diagram presenting the estimates between the variables *p < 0.05.
(t(173) = 14.80, p < 0.05). Moreover, the estimate between enthusiasm and team creativity was positive and significant (t(173) = 4.71, p < 0.05). The result also showed that the estimate between contentment and perceived team creativity was low and non-sig- nificant.
The purpose of the present study was to examine how gender, age and educational diversity influenced the team members’ affective well-being and perceived team creativity, and to investigate the impact of the team members’ affective wellbeing on perceived team creativity.
Regarding the influence of gender and age diversity on well-being and team creativity the result indicates that gender diversity has a significant positive impact on contentment. No other significant relationships were found, which meant that the first hypothesis was not confirmed. The second hypothesis proposed a positive influence of diversity in educational background on well-being and team creativity. However, the result showed almost there was no relationship to the well-being dimensions and a negative but not significant relationship to team creativity. This result can be interpreted in light of the double influence of differences in knowledge and perspectives  . A heterogeneous set of perspectives may have a positive influence on creativity. However, differences may also hinder a shared understanding of the goal and how to handle the task in the team. To develop shared understanding in diverse teams can be supposed to take longer time than in more homogeneous teams. The teams in the current study had worked together for about two months, which may not have been enough time to develop a common view.
Concerning the impact of affective well-being on team creativity, the result showed that team member enthusiasm had a strong impact on team creativity as proposed in the third hypothesis. However, the result pointed to that the dimension anxiety-con- tentment was not related to creativity within the project teams. A strong and significant positive relationship between contentment and enthusiasm was found indicating an indirect influence of the anxiety-contentment dimension on team creativity.
The present study was carried out in the context of autonomous project teams and the team members were students taking part in a project management course. Conducting research with students as participant is relevant when the setting is similar to a real organizational context . Most of the participants in this study had finished their education and could thus be comparable to employees in teams in organizations. The teams worked autonomously as many teams in organizations did and the result showed that the team members experienced high levels of enthusiasm and contentment, and they perceived their teams to be highly creative. This result is in agreement with the intrinsic motivation principle of creativity postulated by Amabile . A work environment with high autonomy may encourage creativity as it provides space for the team members to be motivated by their interest in and the challenge of the work itself .
The cross-sectional design of this study is a limitation. The interaction between individual affective well-being and team creativity was only captured on one occasion during the project process. To follow the teams over time, adopting a longitudinal design, would have gained deeper knowledge of the interplay between the team members’ affects and team creativity. Another limitation may be that affective well-being and team creativity were self-rated by the team members which may bring a risk of common method bias. However, Kurtzberg  argues that creativity within a project team may be the result of a complicated interaction involving the team’s dynamics, the work process and the resulting products. Thus, it would be appropriate to rely on team members’ subjective judgments of team creativity, even if no objective judgments are present. When answered the questionnaire the teams were halfway in their project work and not so many outcomes in the sense of concrete products or services were present to judge so far.
The present study contributes to the understanding of how team member’s feelings and affective well-being influence creativity in teams. The result supports Amabile’s and Mueller’s  development of part of the componential theory of creativity to integrate affect. The result of the current study also suggests a model of affects that may be valuable for further research on creativity in teams .
Furthermore, the study has implications for managing creativity in teams. The best way to encourage creativity in teams seems to be to focus on the team members and their interaction, rather than the team composition. How the team members feel about the teamwork indicates how the creative process in the team proceeds. If diverse teams are created in order to include different perspectives and knowledge it seems to be of special importance to help the team to manage both cognitive and social processes to facilitate well-being and creativity.