ORIGINAL RESEARCH article

Front. Psychol., 28 April 2025

Sec. Personality and Social Psychology

Volume 16 - 2025 | https://doi.org/10.3389/fpsyg.2025.1547414

Can collaborative orientations strengthen or weaken effectiveness of improvisers’ emergency response to an emergency incident? A conditional process model

Tu JunMei
Tu JunMei1*Xu Zhengquan
Xu Zhengquan2*
  • 1College of Xu Hai, China University of Mining and Technology, Xuzhou, China
  • 2School of Management, China University of Mining and Technology, Xuzhou, China

Due to insufficient information on the on-site emergency incident, respondents face a huge challenge to react effectively. This may suggest that the individual response to emergency tasks is likely to differ from that in daily work contexts. This study aims to explore the conditional process of how individuals’ improvisational cognitive appraisals (IICAs) in psychology affect their improvisational performance in an emergency setting and its consequences. Using the data garnered from the coal mine accident rescue teams we find that the level of IICAs positively impacts the individual’s improvisational ability to effectively respond to the emergency incident and the improvisational performance of temporary emergency teams as a whole. Further, an individual’s higher level of proclivity to seek cooperation with others in an emergency situation weakened the relationship between the individual’s improvisational cognitive appraisals and the individual’s improvisational performance team. Our work sheds light on how the improvisational performance of temporary emergency teams in a crisis setting is shaped, explaining why those who perform well in their day-to-day work often have difficulties in achieving the same good performance in a sudden crisis setting.

1 Introduction

Improvisation is a critical capability for individuals being in an emerging crisis situation (Kim, 2021; Mannucci et al., 2021; Weick et al., 1999). Individuals in such situation need to go beyond just following procedures and executing strategic plans (Miner et al., 2001), otherwise they will face exacerbation of the crisis, because individuals need to respond quickly to ongoing crisis events and the situation so that the crisis can be prevented and controlled (Rudolph et al., 2009). Individual’s improvisation is a spontaneous process, in which planning and execution happen simultaneously (Crossan, 1998; Crossan and Sorrenti, 2003), which can make the difference between death and survival, both metaphorically (Brown and Eisenhardt, 1997) and literally (Bechky and Okhuysen, 2011; Weick, 1993, 1996). Research documented that the performance of temporary organizations to respond to rapidly changing crises mainly depend on their employees’ ability to improvise (Leberecht, 2016; Patriotta and Gruber, 2015). Although an extensive and rapidly growing body of existing literature has investigated the critical roles that individual’s improvisation functions in promoting effectiveness of the emergency and fast-response team (Livne-Tarandach and Jazaieri, 2021), yet little is known about the mechanism of how IICAs affecting their improvisational ability and performance of temporary emergency teams (Cutuli, 2014; Jacques et al., 2024). Some of the scholars have explored factors influencing the relations between an individual’s improvisational ability and cognitive appraisals (Bechky and Okhuysen, 2011; Patriotta and Gruber, 2015; Vera and Crossan, 2005), and find that individuals who can fast cognitively respond to the emerging crisis show high cognitive appraisals and improvisational ability (Faraj and Xiao, 2006). To date, it is still difficult to use experimental means to explore how their improvisational ability to cope with crisis develops and corroborate whether the successful improvisational behavior performed in the previous emergency situation can repeat in a different emergency scene (Rudolph et al., 2009). Further research reveals that individuals show obvious differences in the formation of the improvisational ability (Rudolph, 2003). In addition to formal training, Cognitive appraisal theory suggests that individuals also can learn improvisation skills through practice (Hardy and Maguire, 2020; Karunakaran, 2022; Myers, 2022). Since the process of developing individuals’ improvisational ability is very complex, scholars call for further studies of how individuals develop their improvisational ability, and what factors affect this process (Sutton et al., 2021).

Based on the above arguments, we develop a conditional process model to explain how individuals’ improvisational ability can influence the improvisational performance of temporary emergency teams that they affiliate with. This model shows the relations between antecedents and effects of individuals’ improvisation in crisis setting, as well as the conditions on which those relations rely. Further, drawing on the concept of cognition in psychology (Jacques et al., 2024), we propose a new concept of the improvisational cognition, the concept suggests that individual with cognitive ability and skills know how to deal with crisis and take effective action. Therefore, we argue that individual’s higher level of improvisational ability in an emergency situation largely depends on the level of their improvisational cognitive appraisals.

Data were collected from series of interviews with the members of coal mines rescue teams (CMRT), we know that members of CMRT are not always regular. When a new accident happens, the leaders and members of the CMRT may change accordingly. Therefore, the CMRT shows obvious characteristics of temporary organizations. During the rescue operations, the tasks performed by each member are changing, and the collaboration between them is also not constant over time. When the accident happens, the CMRT needs to be formed in a very short time in order to launch rescue operations immediately; thereby the CMRT will consist of incumbent members, as well as some new comers. This means that it will be very difficult for such team to develop cooperative ability in a short period of time. In addition, during the rescue operations, the CMRT may encounter some unexpected novel risks that they unknown, so members of the CMRT need to make adaption over time in such emergency situation. Thus, when the team’s collaborative ability is difficult to form in a short period of time, the individual members’ improvisational ability will become particularly important. Therefore, CMRT is an ideal context for our data collection.

Our research shows that the development of mine accident rescue teams’ performance in emergency setting is a conditional process. First, when an emergency incident happens, rescue members must first develop the ability to identify the existence of risks in an extremely short time, which is a prerequisite for the development of an individual’s improvisational skills. Further research shows that mine rescue teams’ performance in emergency settings relies on individuals’ improvisational skills. If rescue team members lack improvisational ability, it will be much more difficult for them to deal with the ongoing risks and the emergency environment in which the crisis is embedded, implying that emergency rescue team cannot achieve higher performance. In addition, our research also shows that due to the uncertainty and danger of emergency crises, the actions taken by rescue team members in emergency setting are difficult to supervise, and their responsibilities in such environment is difficult to clarify and quantify too. This may lead them to shirk responsibility for the purpose of self-protection when performing urgent tasks that need cooperation. If this is the case, they may leave tasks with greater risks to their coworker, while taking on low-risk or no-risk ones as much as possible. Therefore, in an emergency setting, the effect of IICAs on their improvisational ability and the performance of temporary emergency teams that the individuals situate in is largely conditioned by level of their proclivity to seek cooperation with others.

2 Theory and hypotheses

2.1 Cognitive appraisals and its impact on individual’s improvisational skills

Cognition in the psychology refers to the process by which knowledge and understanding is developed in the mind of individuals. Literature shows that the level of individuals’ cognitive appraisals has an impact on their activities (Bell, 2012). Vergne and Depeyre (2016) found that the effectiveness of individual’s response to the emergency crisis largely depends on their knowledge of the crisis (Vergne and Depeyre, 2016). Chandler et al. (2020) demonstrates that the low level of individuals’ cognitive appraisals can make them unaware of the omen of pending disasters in the emergency setting. Thus, when the disaster happens, individuals with low level cognitive appraisal are unable to respond effectively, or may react in a wrong way, and cannot capture the best chance to cope with the ongoing crisis (Chandler et al., 2020), which may lead to escalation of the crisis. Therefore, individuals’ improvisational cognitive appraisal ability is of key importance to their effective response to the unfolding disaster in an emergency crisis setting.

Based on information processing theory, cognitive is the ability of the human brain processing information (Burke et al., 2006; Sackett, 1998). Further study shows that the higher cognitive ability, the greater the ability of individuals to analyze and deal with problems in the emergency setting (Lebel and Patil, 2018). According to the theory of the expectancy confirmation biases, individuals often dismissed external information that is not in favor of their own ideas (Lord et al., 1979; Staw, 1981). Therefore, the individuals’ gathered information in an emergency situation largely relies on their cognitive bias (Wry and York, 2017), they may pay little attention to unimportant or irrelevant information according to their own cognitive bias (Hambrick and Mason, 1984; Richard et al., 2021). Then they will dedicate sufficient time and effort to analyze and process such information to support their decision in the emergency setting (England, 1967; Jost et al., 2003; Wry and York, 2017).

According to Jost et al. (2018) and Sternberg (1985), individual’s ability depends on his cognitive level (Jost et al., 2018; Sternberg, 1985). When outcomes of individuals improvisational actions meet or even exceed their expectations in an emerging crisis situation means that their improvisational ability is high. The same logic holds that the improvement of individuals’ cognitive appraisal will promote their improvisational ability and the subsequent performance. Gutwin and Greenberg (2004) shows that learning is a key way to improve cognitive ability (Gutwin and Greenberg, 2004). The level of individuals’ cognition is the first thing that actors can change in an emergency crisis environment. Thus, we can posit that individuals’ improvisational ability in a crisis setting improve with the increase of the cognitive level. Further research shows that cognitive ability determines whether actors can clearly see the root cause of the crisis and quickly find a solution to resolve it. From the perspective of cognitive logic, one’s cognitive appraisal directly determines his improvisational ability in a crisis setting, which in turn affects the overall emergency performance of the temporary emergency teams. Additionally, the theory of collective behavior (Granovetter, 1978) suggest that the overall emergency performance of the temporary emergency teams as a whole is the compounding of individual emergency response capabilities. Therefore, we can assume:

Hypothesis 1 (H1): The level of an individual’s cognitive appraisals will have a direct positive impact on his improvisational ability in an emergency crisis setting.

Hypothesis 2 (H2): There is a positive correlation between an individual’s cognitive appraisals and the overall emergency performance of the temporary emergency teams as a whole.

2.2 Improvisational ability and its impacts

Mintzberg (1973) introduced the concept of improvisation into management research domain to explain how some strategies emerge adaptively as a response to ongoing environmental changes (Mintzberg, 1973; Mintzberg and Waters, 1985). The effective strategy should keep up with the change in the environment (Mannucci et al., 2021). Later, Weick (1993), 642) offered the formal definition of improvisation. Under such definition, when investigating the deaths of 13 firefighters in the infamous Mann Gulch fire disaster, he note that the three survivors, relying on a “burst of improvisation,” were able to escape the fire as a result of their ability to think on their feet and act quickly (Mannucci et al., 2021; Weick, 1993). To our knowledge, fire scene does not repeat, firefighters may encounter some novel emergency crisis setting and issues in enacting fire rescue tasks every time. If this is the case, the firefighters’ improvisation will be very important for them to effectively respond to the ongoing fire disaster. This landmark work by Karl Weick inspired further research on how improvisation works in context characterized by a lack of predictability due to frequent surprises and time pressure (Mannucci et al., 2021). In this research, we refer to such a context as the “emergency crisis setting” and argue that emergency crisis context is lack of predictability. Findings from these settings show that improvisations directed toward solving emergency issues and creating novel outcomes are not mutually exclusive; on the contrary, they can coexist (Mannucci et al., 2021).

Further, from the notion of improvisation, the relationship between an individual’s improvisational ability and the emergency performance of the temporary emergency teams also can be discerned (Lehrer, 2012). When the execution and crafting of the plan almost concurrently occurs, then we can say that activity of planning and execution is improvisational. Improvisation is a spontaneous response to unplanned events that helps individuals to solve problems or find new ways in response to unknown events (Barrett, 1998; Kamoche and Cunha, 2001; Moorman and Miner, 1998a, 1998b; Vera and Crossan, 2004; Vera and Crossan, 2005; Weick, 1993). We use this concept to examine the reactive, spontaneous action taken by individuals in an emergency setting. Research shows that in an emergency setting, performance of a temporary organization depends on the degree to which improvisational planning matches improvisational execution.

Scholars agree on some of the core elements of the definition of improvisation, but they do not agree on how to improve individual ability to improvise. Individual’s ability to improvise may take many years to develop (Lehrer, 2012). The mechanism of training individuals’ improvisational skills is very complex (Darr et al., 1995; Gino et al., 2010). If we want to improve the improvisational performance of temporary rescue teams, we need to understand the mechanism of the development of individuals’ improvisational ability, then we can know how to use it to achieve the goal in the emergency settings. Therefore, some scholars advise that if temporary organizations want to improve their improvisational emergency performance, they first need to improve their members’ improvisational abilities (Eisenberg, 1990; Olson, 1989). Accordingly, I predict,

Hypothesis 3 (H3): There is a positive relationship between individuals’ improvisational ability and the improvisational performance of temporary rescue teams in which they situate.

2.2.1 Mediating role of individuals’ improvisational ability

The mechanism of the development process of individuals’ improvisational ability affecting the improvisational performance of temporary rescue teams in which these individuals situate is very complex (Eisenhardt and Tabrizi, 1995). Individuals’ cognitive appraisal needs to be transformed into their improvisational ability in order to have a positive impact on the improvisational performance of temporary rescue teams (Vera and Crossan, 2005). Based on the above discussion, we know that changes of the level of individuals’ cognitive appraisals will have a direct impact on individuals’ improvisational ability and the improvisational performance of temporary rescue teams in the emergency settings. We can infer that the individuals’ improvisational ability in crisis setting mediates the effect of their cognitive appraisal on the improvisational performance of temporary rescue teams as a whole. Therefore, we may posit that the impact of the level of IICAs on the performance of temporary rescue teams may be partially mediated through their improvisational ability. Therefore, we may posit:

Hypothesis 4: Individuals’ improvisational ability partially mediates the impact of the level of individuals’ improvisational cognitive appraisal on the performance of temporary rescue teams.

2.3 The moderating effect created by the collaborative orientation

Ozcan and Gurses (2018) shows that interaction between members of a group exhibits some degree of proclivity or bias (Ozcan and Gurses, 2018), which can be divided into two categories, namely cooperative orientation and competitive orientation, respectively. Individuals’ orientation can help improve their job performance. Consistent with this logic, individuals can either choose to cooperate with or compete with others to improve their own improvisational performance when they work in the same emergency crisis setting (Cronin and Weingart, 2007; De Dreu and Boles, 1998; Weingart et al., 2007). Further, resources invested in enacting urgent tasks are scarce in an emergency crisis setting, which makes individuals who engage in urgent tasks have to compete for these scarce resources. The competition occurring among emergency respondents can lead to negative consequences (Nalick et al., 2020).

Although research on improvisation assumes that collaboration among team members is largely inherent in the execution of emergency tasks (Barrett, 1998; Peplowski, 1998), yet this is not always the case. When emergency event occurs, the team leaders required to building efficient emergency rescue team before the rescue operation starts. The leaders of the team usually motivate everyone to think and act in the same way, when they are situating in the crisis setting (Bezrukova et al., 2009; Kane, 2010; Vestal and Danneels, 2022). Before the start of the rescue operation, the purpose of kick-off meeting is to motivate the newly established rescue team members to pursue a common goal so as to avoid problems provoked by a small portion of members who want to stand out by displaying greater virtuosity that may undermine the team’s performance (Mannucci et al., 2021). With the evolution of the emergency rescue operation, some members’ actions may deviate from the team’s goal, which will result in the failure of team coordination and cooperation. However, forming new effective cooperation among team members and developing effective sense making that facilitates the exploitation of the connections between members need to consume attention and time in the emergency environment (Vera et al., 2014).

Therefore, if the individual members of the temporary rescue team focus their attention on seeking cooperation with other peers in an emergency crisis setting, their attention invested in foster ability to improvise will be at risk of being crowded out. For individuals immersed in emergency situations, their attention is a scarce resource, and which has a major impact on their emergency decision making (Clough and Piezunka, 2020; Joseph and Ocasio, 2012; Ocasio, 1997; Piezunka and Dahlander, 2015; Sullivan, 2010). Therefore, the more they invest such resources in seeking cooperation with others, the less attention he can devote to developing ability to improvise, as will potentially hinder the formation of their improvisational ability. Further research shows that adverse effect of individuals’ negative evaluation of collaboration within social structures of the temporary rescue team on the performance of temporary rescue teams as a whole does not hold constant. When the magnitude of individuals’ collaborative orientation changes, the effect of the level of IICAs on their improvisational ability and the performance of temporary rescue teams may change accordingly. Thus, we can offer the following assumptions:

Hypothesis 5 (H5): Individuals’ collaborative orientation negatively moderate the impact of IICAs on their improvisational ability. When individual’s unwillingness to collaborate increase, the impact will be weakened.

Hypothesis 6 (H6): Individuals’ collaborative orientation negatively moderate the impact of IICAs on the performance of temporary rescue teams. When individual’s unwillingness to collaborate increase, the impact will be weakened.

According to these theoretical assumptions, we build the following hypothetical relationship network in Figure 1.

Figure 1
www.frontiersin.org

Figure 1. Theoretical model.

3 Research methodology

3.1 Data and sample

We choose the CMRT as our research context. In China, CMRT need to deal with various emergency occurring in coal mining operation in their daily work. Although each coal mining firm has its own accident rescue team, the members of the team are not always fixed. Perhaps in each execution of coal mining accidents’ rescue tasks, new members may join the team and incumbent members may depart, this will make the CMRT show salient characteristics of a temporary organization. Moreover, a large number of coal mine accident rescue cases show that even if emergency plans for accidents are well prepared, they may not be fully implemented in emergency setting. Because during an accident rescue operation, new crises and emergency tasks will frequently occur, so it is impossible for these teams to fast-draft emergency plans for coping with these new crises and emergency tasks. Thus, members need to improvise when performing emergency tasks, and complete implementation of the prescribed emergency plan may imply catastrophic consequences. In this research, we choose the employees of the coal mine accident rescue teams as research sample and use self-reported questionnaires to measure the constructs.

3.1.1 Samples and data

The data were obtained through interviews and questionnaires with rescues team members. The survey was carried out in period of two months form June 1, 2022 to July 31, 2022. A total of 339 rescue team members from 25 coal mining enterprises in 3 major coal-producing provinces were interviewed. The questionnaires were designed with short and simple sentences to ensure that respondents could complete the questionnaires within 15 min. 294 questionnaires were returned, of which 11 is not completed, and be removed. Finally, we got 283 qualified questionnaires. The qualified response rate of the questionnaires was 83.5%. The demographic characteristics of those respondents included age (mean = 36.430; sd = 8.230), gender, level of education and magnitude of crisis experience accumulation (“A” denotes no “crisis experience,” B means “little crisis experience accumulation,” “C” indicates “rich crisis experience accumulation,” see Table 1).

Table 1
www.frontiersin.org

Table 1. The demographic characteristics of the respondents (N = 283).

3.2 Measures

3.2.1 Level of IICAs (X1)

In line with Prem et al. (2017), we develop a 4-item scale to measure the individuals’ cognitive appraisal level in the emergency crisis setting. These four-point Likert scale (ranked as 1 = strongly disagree to 5 = strongly agree) is: “I can figure out the cause of an emergency crisis within a very short time “; “I can figure out what action to take in response to the current crisis within a very short time “; “I can create an emergency plan to deal with the crisis within a very short time “, “I can predict the changes of the ongoing crisis, so I can adoptively change the emergency plan to effectively respond to the ongoing crisis.” The Cronbach’s α for this scale was 0.707.

3.2.2 Individuals’ improvisational ability (X2)

In line with Vera and Crossan (2005), we developed a 5-point Likert scale to measure Individuals’ improvisational ability in emergency crisis setting. The 5-point scale (ranking as 1 = completely disagree to 5 = completely agree) contains four items, namely “I can respond quickly when I face with emergency incidents,” “I can create emergency plans and execute them almost simultaneously when I am assigned emergency tasks,” “I can effectively react in right way when the emergency incident unfolds,” “I believe that I hold very good improvisational adaptability.” The Cronbach’s α for this scale was 0.808.

3.2.3 The performance of temporary rescue teams (X3)

We measured performance of temporary rescue teams by assessing the effectiveness of their execution of urgent tasks in the emergency crisis setting. Following Baer et al. (2021) and Banin et al. (2016), we used a five-item scale to measure the performance of temporary rescue teams (X3-5): “We believe that our temporary rescue teams can best perform ever emergency task,” “Now, our temporary rescue teams are very good at performing emergency tasks,” “Overall, I deem that our temporary rescue teams are excellent at emergency collaboration and coordination,” “After each rescue operation, in most cases, we may be praised by our upper superiors.” “After each rescue operation, we are rarely criticized by our upper superiors.” The Cronbach’s α for this scale was 0.794.

3.2.4 Individuals’ collaborative orientation (X4)

According to Mannucci et al. (2021), Individuals’ collaborative orientation will influence their willingness to seek collaboration and help from other peers. In emergency crisis settings, due to the scarce, limited resources, individuals’ who hold competitive orientations may be reluctant to provide help and collaboration to the one who needs them. In line with Wang and Zatzick (2019), we develop a three-item scale to measure the level of individuals’ collaborative orientation in emergency crisis settings. For ease of interpretation, what we measure is the level of an individual’s unwillingness to collaborate (X4) in the crisis setting. Each of the 5-point (1 = completely disagree to 5 = completely agree) scale items are: “When I am doing the urgent task, at the same time, a new unexpected urgent task emerges, I am reluctant to consult other team members on how effectively responding to the new urgent task, because I deem that doing so will slow down my response speed.” “When I am doing the urgent task, but a new unexpected urgent task emerges, I generally do not ask other team members for help.” “When I am doing the urgent task, but a new unexpected urgent task emerges, it is generally impossible for me to get substantial help from other members, so when other members seek help from me, I do not provide substantial help either.” The Cronbach’s α for this scale was 0.830.

3.3 Control variables

Factors that affect the human’s improvisational ability in emergency crisis setting are various and complex. Prior evidence has shown that individual’s ability to improvise is linked to gender (Seedat et al., 2009), age (Kessler et al., 2007), education (Fryers et al., 2003), and experience accumulating via executing urgent tasks (Stansfeld et al., 2011) influence human’s improvisational ability in emergency crisis setting. Thus, we controlled for emergency respondents’ age, gender, education level, and magnitude of experience accumulating via executing urgent tasks.

Gender was coded as 1 for women and 0 for men. Education was coded as: “1” for else, “2” for a high school, “3” for four-year university degree, and “4” for master degree (Kim and Kim, 2020). The age of the respondents was coded as:1 if age ≤ 20, 2 for age “21 ~ 30,” 3 for age “31 ~ 40,” and 4 for age “≥41.” We control for magnitude of experience accumulating via executing urgent tasks, we code “A” for no crisis experience, “B” for little crisis experience accumulation, and “C” for rich crisis experience accumulation.

4 Results and analyses

4.1 Reliability and validity of measurement

Reliability and validity are used to evaluate the consistency and accuracy of the measurement, respectively. We evaluated the factor structure of the measures through a confirmatory factor analysis (CFA) of the four latent variables in the hypothesized model (Alinejad and Anvari, 2019; Campbell and Fiske, 1959; Jackson, 1977). Fornell and Larcker (1981) proposed that the average extracted variation (AVE) is used to estimate convergent and discriminant validity (Fornell and Larcker, 1981). We used a multilevel confirmatory factor analysis (MCFA) to evaluate the factor structure of the latent variables in our model by using Mplus8.3 (Schilpzand et al., 2018).

As shown in Table 2, the standardized loading in the measurement model were high and load on their respective factors. Interval of the factor loading ranges between 0.561 to 0.883. The hypothesized four-factor model, in which individual scale items loaded on separate first-order latent factors, displayed good fit (χ2(98)= 138.185, p = 0.0047; RMSEA = 0.038; SRMR = 0.036; CFI = 0.978) (Hu and Bentler, 1999). The baseline model, in which all the standardized loading load on one of the four factors, provided bad fit for the data (χ2(120)=1939.024, p = 0.0000). We further performed CFA to examine the hypothesized model with 3-factor and 2-factor, and the results show that the 4-factor model has the best fit. Results suggested that the four-factor model fitted the data better than all others.

Table 2
www.frontiersin.org

Table 2. Results of the confirmatory factor analysis.

Table 2 shows that the convergent validity (C.R.) of the five latent variable is between 0.7114 and 0.8349, and the value of AVE is between 0.4821 and 0.6294. Only the AVE of the first factor is slightly lower than 0.5. Therefore, in the 4-factor model, scales of all 4 unobserved variables have acceptable convergent validity. The higher reliability of the scale and the higher validity of the conceptual model ensure that the following hypothesis tests can be based on reliable data.

Table 3 provides the descriptive statistics including the means, standard deviations, correlations of the variables, and reliability estimates.

Table 3
www.frontiersin.org

Table 3. Descriptive statistics, correlations, and reliabilities.

4.2 Test for direct effect

Table 4 shows that, using 5,000 bootstrap samples, a 95% confidence interval of the correlation coefficient between IICAs (X1) and individuals’ improvisational ability (X2) ([0.9561 to 1.4022]) is positive and significant (B = 1.1792, p = 0.0000), does not include zero. Thus, the proposed Hypothesis 1 is supported. The results indicates that, in emergency settings, the higher level of IICAs (X1), the higher individuals’ improvisational ability (X2) will be.

Table 4
www.frontiersin.org

Table 4. Path coefficients of the conceptual model.

Table 4 shows that individuals’ improvisational ability (X2) also has a direct positive effect on performance of temporary rescue teams (X3) (B = 0.4147, p = 0.0000). The confidence interval [0.3172, 0.5121] is positive and significant, does not include zero, suggests that the higher individuals’ improvisational ability (X2) is, the higher performance that temporary rescue teams (X3) shows, thus support Hypothesis 3. Further, Table 4 shows that IICAs (X1) also have a direct impact on performance of temporary rescue teams (X3) (B = 0.4830, p = 0.0000). The confidence interval [0.2661,0.7000] is positive and significant, does not include zero. Thus, Hypothesis 2 is also supported.

4.3 Test for conditional indirect effect (X1 → X2 → X3)

Table 5 provides the results of the moderation mediation hypotheses (H5 and H6) by using the PROCESS macro for SPSS (Hayes, 2017).

Table 5
www.frontiersin.org

Table 5. Conditional indirect effects of X1 on X (X1 → X2 → X3).

In Figure 2 we assigned values to X4 as 1.0000, 1.6890, 2.5501, respectively, to test the conditional indirect effect of X1 on X3.

Figure 2
www.frontiersin.org

Figure 2. Conditional indirect effect of X1 on X3.

The Table 5 shows that, using 5,000 bootstrap samples, when X5 is assigned values of 1.0000, 1.6890, 2.5501, respectively, all 95% bootstrap confidence intervals (Boot LLCI, Boot ULCI) do not straddle 0 and include negative values, which suggests that the conditional indirect effect of IICAs (X1) on the performance of temporary rescue teams (X3) is positive and significant. Further, the results also indicates that as the value of X4 increases, the conditional indirect effect gradually decreases. Such effect can be explained by the reinforcement sensitivity theory (DeCelles et al., 2020; Gray, 1976; Grey and McNaughton, 1982; McNaughton and Gray, 2000). Thus, the Hypothesis 4 is supported. Figure 2 graphically shows that this conditional indirect effect is decreasing with increases of individuals’ collaborative orientation.

4.4 Test for moderating effect

Table 6 shows the results to test hypotheses about conditional indirect effects after controlling for emergency respondents’ age, gender, education level, and magnitude of experience accumulating via executing urgent tasks. The standardized regression coefficient for “X1 × X4 “(B = -0.3425) is negative and significant (p = 0.0000), a 95% confidence interval ([0.4808 to −0.2042]) does not include zero. Therefore, we can conclude that the effect of IICAs (X1) on the individuals’ improvisational ability (X2) is negatively moderated by individual’s unwillingness to collaborate (X4). Thus, Hypothesis 5 was supported (see Table 7).

Table 6
www.frontiersin.org

Table 6. Results from a regression analysis examining the effect of X1 on X2 moderated by X4.

Table 7
www.frontiersin.org

Table 7. Results from a regression analysis examining the effect of X1 onX3 moderated by X4.

According to Figure 3, the standardized regression coefficient for “X1 × X4” (B = -0.1375) is negative and significant (p = 0.0000), and a 95% confidence interval coefficient ([LLCI, ULCI] = [−0.2564, −0.0185]), does not include zero. These results suggest that individual’s unwillingness to collaborate (X4) negatively moderate the relationship between IICAs (X1) and performance of temporary rescue teams (X3). Thus, the proposed Hypothesis 6 is supported.

Figure 3
www.frontiersin.org

Figure 3. A visual representation of the conditional effects of X1 on X2 among those relatively low (X4 = 1.0000), moderate (X4 = 1.6890), and relatively high (X4 = 2.5501) level of individual’s unwillingness to collaborate (X4).

We also can observe the moderation effect from Figures 3, 4. Figure 3 plots the visualizing effect of X1 on X2 moderated by X4, and Figure 4 plots the visualizing effect of X1 on X3 moderated by X4.

Figure 4
www.frontiersin.org

Figure 4. A visual representation of the conditional effects of X1 on X3 among those relatively low (X4 = 1.0000), moderate (X4 = 1.6890), and relatively high (X4 = 2.5501) level of individual’s unwillingness to collaborate (X4).

5 Discussion

This study aims to better understand the mechanism of IICAs and individuals’ improvisational ability that affecting the performance of temporary rescue teams in emergency crisis settings, so as to help temporary emergency response organizations to improve their improvisational performance. Findings mostly support our proposed hypotheses. Below, we will discuss the theoretical and practical implications of the findings in this study.

5.1 Theoretical implications

First, our theoretical model shed light on the different roles played by IICAs and their improvisational ability in influencing performance of temporary rescue teams as a whole. Thus, we expand the literature on improvisation and provides a theoretical framework for understanding how the level of IICAs affects the performance of temporary rescue teams as a whole. To our knowledge, scholars have not drawn a clear line between IICAs and their improvisational ability. In this study, we argue that IICAs (what to do) are different from their improvisational ability (what can do). Individuals who show a very low level of improvisational cognitive appraisals are unlikely to show high ability to improvise in emergency setting.

Second, this research contributes to the literature on the mechanism of how performance of temporary rescue teams evolves. Findings shows that IICAs and their improvisational ability are two critical factors that shape the performance of temporary rescue teams in emergency setting. According to the theory of collective action, in an emergency crisis setting, IICAs and their improvisational ability can combine to affect the performance of temporary rescue teams. The above logic shows that although improvisation of the temporary rescue teams is a sort of spontaneous response, which is determined by IICAs and their ability to improvise.

Third, our findings further shed light on the mechanism by which the effects of IICAs and their improvisational ability on the performance of temporary rescue teams are conditioned. Because the plan-making and plan-implementation occur simultaneously in an emergency crisis setting, this leads to the consequence that the pre-arranged plan is difficult to fully implement. Research reveals that people showing different value orientations may exhibit different levels of collaborative orientation in an emergency crisis setting (Slade Shantz et al., 2020). The coal mine accident rescue operation is actually sort of a collective action, and individual members must interact and communicate frequently while performing emergency tasks. Due to the scarcity of emergency resources, the effects of IICAs and their improvisational ability on the performance of temporary rescue teams are contingent on the degree of collaborative orientation that individuals show in emergency crisis settings.

5.2 Practical implications

First, the results of our research have important practical implications for how temporary rescue teams can improve their improvisational ability when facing emergency incidents. In reality, emergency respondents may encounter many so-called surprises for which they cannot find a ready resolution. When this is the case, how to effectively deal with these so-called surprises will be of great significance not only to the emergency respondents themselves but also to the entire temporary rescue teams in which they are situated. Because these unexpected challenges and surprises may not only get emergency respondents into trouble but even endanger their lives. If this happens, other members have to devote extra efforts to rescue the trapped team members, they are unable to continue the execution of emergency tasks at hand, which may adversely affect the entire crisis management process. Therefore, improving individuals’ ability to improvise, they can mitigate crises by deploying their own emergency resources without requiring other members to collaborate or coordinate.

Second, our research has important practical implications for understanding the role of improvisation in emergency crisis settings. The results shows that individuals’ improvisational performance largely depends on their ability on how they improvise in emergency settings. Further, our finding also shows that individuals’ ability to improvise hinges on how they can quickly adopt improvisational cognitive ability. Thus, in the practice, if the individuals can figure out the mechanism of the crisis unfolding, then they will be able to know how to effectively respond to it.

Further, if a temporary organization wants to improve its improvisational performance in an emergency crisis setting, it needs to try to improve the improvisational cognitive appraisals of its individual members. Thus, the findings of this study can help emergency organizations design more feasible training programs for improving the improvisation of their members.

5.3 Limitations and future research

First, the data was garnered from coal mine accident rescue teams in China, which will affect the generalization of the results to extend to other emergency crisis settings. Future research needs to explore improvisation in other crisis settings to further confirm the generalization of the findings of this study.

Second, we conclude that cooperation among individual members in emergency crisis settings, can amplify effect of IICAs (X1) and their improvisational ability (X2) on performance of temporary rescue teams (X3). But from the perspective of limited resources, cooperation among individual members may weaken the above effects. This is because, in an emergency crisis setting, although an established emergency plan that has proven effective in the past has helpful in accelerating decision processes, it also has limitations in drafting quick organizational responses. Such discrepancy deserves further research in the future.

Finally, how to measure individuals’ improvisational ability in emergency crisis settings is still an unsolved puzzle. From the cognitive perspective, a person’s cognitive ability to understand and cope with crises is first related to his brain power. However, a person with a lot of brainpower cannot fully release the brainpower to form his cognition in the setting. This means that he does not hold high improvisational ability in emergency crisis settings. Therefore, in emergency crisis settings, individuals’ improvisational ability mainly depends on whether they can make full use of their brain power in a very short time spell. In this study we did not address such issue, future research can focus on it.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.

Author contributions

TJ: Software, Supervision, Validation, Writing – original draft. XZ: Formal analysis, Funding acquisition, Investigation, Methodology, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This research was supported by funding from National Natural Science Foundation of China (grant no: U23B2092), Philosophy and Social Sciences Research Project in Jiangsu Universities (grant no: 2023SJYB1156), Key laboratory project of Minister of Emergency Management (2024).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Alinejad, S., and Anvari, A. (2019). The mediating effect of collaborative structure and competitive intensity on the relationship between process management and organizational performance, Iran. J. Manage. Stud. 12, 149–174. doi: 10.22059/ijms.2018.259810.673169

Crossref Full Text | Google Scholar

Baer, M. D., Frank, E. L., Matta, F. K., Luciano, M. M., and Wellman, N. (2021). Undertrusted, overtrusted, or just right? The fairness of (in) congruence between trust wanted and trust received. Acad. Manag. J. 64, 180–206. doi: 10.5465/amj.2018.0334

Crossref Full Text | Google Scholar

Banin, A. Y., Boso, N., Hultman, M., Souchon, A. L., Hughes, P., and Nemkova, E. (2016). Salesperson improvisation: antecedents, performance outcomes, and boundary conditions. Ind. Mark. Manag. 59, 120–130. doi: 10.1016/j.indmarman.2016.02.007

Crossref Full Text | Google Scholar

Barrett, F. J. (1998). Coda—creativity and improvisation in jazz and organizations: implications for organizational learning. Organ. Sci. 9, 605–622. doi: 10.1287/orsc.9.5.605

PubMed Abstract | Crossref Full Text | Google Scholar

Bechky, B. A., and Okhuysen, G. A. (2011). Expecting the unexpected? How SWAT officers and film crews handle surprises. Acad. Manag. J. 54, 239–261. doi: 10.5465/amj.2011.60263060

Crossref Full Text | Google Scholar

Bell, S. (2012). The power of ideas: the ideational shaping of the structural power of business. Int. Stud. Q. 56, 661–673. doi: 10.1111/j.1468-2478.2012.00743.x

Crossref Full Text | Google Scholar

Bezrukova, K., Jehn, K. A., Zanutto, E. L., and Thatcher, S. M. (2009). Do workgroup faultlines help or hurt? A moderated model of faultlines, team identification, and group performance. Organ. Sci. 20, 35–50. doi: 10.1287/orsc.1080.0379

PubMed Abstract | Crossref Full Text | Google Scholar

Brown, S. L., and Eisenhardt, K. M. (1997). The art of continuous change: linking complexity theory and time-paced evolution in relentlessly shifting organizations. Adm. Sci. Q. 42, 1–34. doi: 10.2307/2393807

Crossref Full Text | Google Scholar

Burke, C. S., Stagl, K. C., Salas, E., Pierce, L., and Kendall, D. (2006). Understanding team adaptation: a conceptual analysis and model. J. Appl. Psychol. 91, 1189–1207. doi: 10.1037/0021-9010.91.6.1189

PubMed Abstract | Crossref Full Text | Google Scholar

Campbell, D. T., and Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol. Bull. 56, 81–105. doi: 10.1037/h0046016

Crossref Full Text | Google Scholar

Chandler, D., Polidoro, F. Jr., and Yang, W. (2020). When is it good to be bad? Contrasting effects of multiple reputations for bad behavior on media coverage of serious organizational errors. Acad. Manag. J. 63, 1236–1265. doi: 10.5465/amj.2017.1248

Crossref Full Text | Google Scholar

Clough, D. R., and Piezunka, H. (2020). Tie dissolution in market networks: a theory of vicarious performance feedback. Adm. Sci. Q. 65, 972–1017. doi: 10.1177/0001839219899606

Crossref Full Text | Google Scholar

Cronin, M. A., and Weingart, L. R. (2007). Representational gaps, information processing, and conflict in functionally diverse teams. Acad. Manag. Rev. 32, 761–773. doi: 10.5465/amr.2007.25275511

Crossref Full Text | Google Scholar

Crossan, M. M. (1998). Improvisation in action. Organ. Sci. 9, 593–599. doi: 10.1287/orsc.9.5.593

PubMed Abstract | Crossref Full Text | Google Scholar

Crossan, M. M., and Sorrenti, M. (2003). Making sense of improvisation : Routledge, 37–58.

Google Scholar

Cutuli, D. (2014). Cognitive reappraisal and expressive suppression strategies role in the emotion regulation: an overview on their modulatory effects and neural correlates. Front. Syst. Neurosci. 8:110157. doi: 10.3389/fnsys.2014.00175

Crossref Full Text | Google Scholar

Darr, E. D., Argote, L., and Epple, D. (1995). The acquisition, transfer, and depreciation of knowledge in service organizations: productivity in franchises. Manag. Sci. 41, 1750–1762. doi: 10.1287/mnsc.41.11.1750

PubMed Abstract | Crossref Full Text | Google Scholar

De Dreu, C. K., and Boles, T. L. (1998). Share and share alike or winner take all?: the influence of social value orientation upon choice and recall of negotiation heuristics. Organ. Behav. Hum. Decis. Process. 76, 253–276. doi: 10.1006/obhd.1998.2806

PubMed Abstract | Crossref Full Text | Google Scholar

DeCelles, K. A., Sonenshein, S., and King, B. G. (2020). Examining anger’s immobilizing effect on institutional insiders’ action intentions in social movements. Adm. Sci. Q. 65, 847–886. doi: 10.1177/0001839219879646

Crossref Full Text | Google Scholar

Eisenberg, E. M. (1990). Jamming: transcendence through organizing. Commun. Res. 17, 139–164. doi: 10.1177/009365090017002001

Crossref Full Text | Google Scholar

Eisenhardt, K. M., and Tabrizi, B. N. (1995). Accelerating adaptive processes: product innovation in the global computer industry. Adm. Sci. Q. 40, 84–110. doi: 10.2307/2393701

Crossref Full Text | Google Scholar

England, G. W. (1967). Organizational goals and expected behavior of American managers. Acad. Manag. J. 10, 107–117. doi: 10.2307/254630

Crossref Full Text | Google Scholar

Faraj, S., and Xiao, Y. (2006). Coordination in fast-response organizations. Manag. Sci. 52, 1155–1169. doi: 10.1287/mnsc.1060.0526

PubMed Abstract | Crossref Full Text | Google Scholar

Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18, 39–50. doi: 10.1177/002224378101800104

Crossref Full Text | Google Scholar

Fryers, T., Melzer, D., and Jenkins, R. (2003). Social inequalities and the common mental disorders. Soc. Psychiatry Psychiatr. Epidemiol. 38, 229–237. doi: 10.1007/s00127-003-0627-2

PubMed Abstract | Crossref Full Text | Google Scholar

Gino, F., Argote, L., Miron-Spektor, E., and Todorova, G. (2010). First, get your feet wet: the effects of learning from direct and indirect experience on team creativity. Organ. Behav. Hum. Decis. Process. 111, 102–115. doi: 10.1016/j.obhdp.2009.11.002

Crossref Full Text | Google Scholar

Granovetter, M. (1978). Threshold models of collective behavior. Am. J. Sociol. 83, 1420–1443. doi: 10.1086/226707

Crossref Full Text | Google Scholar

Gray, J. A. (1976). The behaviouiral inhibition system: a possible substrate for anxiety. Theoretical and Experimental Ases of Behaviour Modification. 3–41.

Google Scholar

Grey, J. A., and McNaughton, N. (1982). The neuropsychology of anxiety. An enquiry into the functions of the septo-hippocampal system. New York: Clarendon Press/Oxford University Press.

Google Scholar

Gutwin, C., and Greenberg, S. (2004). “The importance of awareness for team cognition in distributed collaboration,” in Team cognition: Understanding the factors that drive process and performance. eds. E. Salas and S. M. Fiore (American Psychological Association), 177–201.

Google Scholar

Hambrick, D. C., and Mason, P. A. (1984). Upper echelons: the organization as a reflection of its top managers. Acad. Manag. Rev. 9, 193–206. doi: 10.2307/258434

Crossref Full Text | Google Scholar

Hardy, C., and Maguire, S. (2020). Organizations, risk translation, and the ecology of risks: the discursive construction of a novel risk. Acad. Manag. J. 63, 685–716. doi: 10.5465/amj.2017.0987

Crossref Full Text | Google Scholar

Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. New York: Guilford Publications.

Google Scholar

Hu, L. T., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. Multidiscip. J. 6, 1–55. doi: 10.1080/10705519909540118

Crossref Full Text | Google Scholar

Jackson, D. N. (1977). Distinguishing trait and method variance in multitrait-multimethod matrices: a reply to Golding. Multivar. Behav. Res. 12, 99–110. doi: 10.1207/s15327906mbr1201_8

PubMed Abstract | Crossref Full Text | Google Scholar

Jacques, C., Quiquempoix, M., Sauvet, F., Le Van Quyen, M., Gomez-Merino, D., and Chennaoui, M. (2024). Interest of neurofeedback training for cognitive performance and risk of brain disorders in the military context. Front. Psychol. 15:1412289. doi: 10.3389/fpsyg.2024.1412289

PubMed Abstract | Crossref Full Text | Google Scholar

Joseph, J., and Ocasio, W. (2012). Architecture, attention, and adaptation in the multibusiness firm: general electric from 1951 to 2001. Strateg. Manag. J. 33, 633–660. doi: 10.1002/smj.1971

Crossref Full Text | Google Scholar

Jost, J. T., Glaser, J., Kruglanski, A. W., and Sulloway, F. J. (2003). Exceptions that prove the rule--Using a theory of motivated social cognition to account for ideological incongruities and political anomalies: Reply to Greenberg and Jonas. Psychol. Bull. 129, 383–393. doi: 10.1037/0033-2909.129.3.383

Crossref Full Text | Google Scholar

Jost, J. T., Glaser, J., Sulloway, F. J., and Kruglanski, A. W. (2018). Political conservatism as motivated social cognition : Routledge.

Google Scholar

Kamoche, K., and Cunha, M. P. E. (2001). Minimal structures: from jazz improvisation to product innovation. Organ. Stud. 22, 733–764. doi: 10.1177/0170840601225001

Crossref Full Text | Google Scholar

Kane, T. (2010). The importance of startups in job creation and job destruction, Kauffman foundation research series: Firm formation and economic growth. Available at: http://www.kauffman.org/uploadedFiles/firm_formation_importance_of_startups.

Google Scholar

Karunakaran, A. (2022). Status–authority asymmetry between professions: the case of 911 dispatchers and police officers. Adm. Sci. Q. 67, 423–468. doi: 10.1177/00018392211059505

Crossref Full Text | Google Scholar

Kessler, R. C., Amminger, G. P., Aguilar Gaxiola, S., Alonso, J., Lee, S., and Ustun, T. B. (2007). Age of onset of mental disorders: a review of recent literature. Curr. Opin. Psychiatry 20, 359–364. doi: 10.1097/YCO.0b013e32816ebc8c

PubMed Abstract | Crossref Full Text | Google Scholar

Kim, S. (2021). Frame restructuration: the making of an alternative business incubator amid Detroit’s crisis. Adm. Sci. Q. 66, 753–805. doi: 10.1177/0001839220986464

Crossref Full Text | Google Scholar

Kim, Y. J., and Kim, J. (2020). Does negative feedback benefit (or harm) recipient creativity? The role of the direction of feedback flow. Acad. Manag. J. 63, 584–612. doi: 10.5465/amj.2016.1196

Crossref Full Text | Google Scholar

Lebel, R. D., and Patil, S. V. (2018). Proactivity despite discouraging supervisors: the powerful role of prosocial motivation. J. Appl. Psychol. 103, 724–737. doi: 10.1037/apl0000301

PubMed Abstract | Crossref Full Text | Google Scholar

Leberecht, T. (2016). Make your strategy more agile. Harvard business review, Oct, 31.

Google Scholar

Lehrer, J. (2012). Imagine: how creativity works : Houghton Mifflin Harcourt.

Google Scholar

Livne-Tarandach, R., and Jazaieri, H. (2021). Swift sense of community: resourcing artifacts for rapid community emergence in a temporary organization. Acad. Manag. J. 64, 1127–1163. doi: 10.5465/amj.2019.0410

Crossref Full Text | Google Scholar

Lord, C. G., Ross, L., and Lepper, M. R. (1979). Biased assimilation and attitude polarization: the effects of prior theories on subsequently considered evidence. J. Pers. Soc. Psychol. 37, 2098–2109. doi: 10.1037/0022-3514.37.11.2098

Crossref Full Text | Google Scholar

Mannucci, P. V., Orazi, D. C., and de Valck, K. (2021). Developing improvisation skills: the influence of individual orientations. Adm. Sci. Q. 66, 612–658. doi: 10.1177/0001839220975697

Crossref Full Text | Google Scholar

McNaughton, N., and Gray, J. A. (2000). Anxiolytic action on the behavioural inhibition system implies multiple types of arousal contribute to anxiety. J. Affect. Disord. 61, 161–176. doi: 10.1016/S0165-0327(00)00344-X

PubMed Abstract | Crossref Full Text | Google Scholar

Miner, A. S., Bassof, P., and Moorman, C. (2001). Organizational improvisation and learning: a field study. Adm. Sci. Q. 46, 304–337. doi: 10.2307/2667089

Crossref Full Text | Google Scholar

Mintzberg, H. (1973). 1973 the nature of managerial work. New York: Harper and Row.

Google Scholar

Mintzberg, H., and Waters, J. A. (1985). Of strategies, deliberate and emergent. Strateg. Manag. J. 6, 257–272. doi: 10.1002/smj.4250060306

Crossref Full Text | Google Scholar

Moorman, C., and Miner, A. S. (1998a). Organizational improvisation and organizational memory. Acad. Manag. Rev. 23, 698–723. doi: 10.2307/259058

Crossref Full Text | Google Scholar

Moorman, C., and Miner, A. S. (1998b). The convergence of planning and execution: improvisation in new product development. J. Mark. 62, 1–20. doi: 10.1177/002224299806200301

Crossref Full Text | Google Scholar

Myers, C. G. (2022). Storytelling as a tool for vicarious learning among air medical transport crews. Adm. Sci. Q. 67, 378–422. doi: 10.1177/00018392211058426

Crossref Full Text | Google Scholar

Nalick, M., Kuban, S., Hill, A. D., and Ridge, J. W. (2020). Too hot to handle and too valuable to drop: an expanded conceptualization of firms’ reactions to exchange partner misconduct. Acad. Manag. J. 63, 1976–2003. doi: 10.5465/amj.2018.0657

Crossref Full Text | Google Scholar

Ocasio, W. (1997). Towards an attention-based view of the firm. Strateg. Manag. J. 18, 187–206. doi: 10.1002/(SICI)1097-0266(199707)18:1+<187::AID-SMJ936>3.0.CO;2-K

Crossref Full Text | Google Scholar

Olson, M. (1989). Collective action : Springer, 61–69.

Google Scholar

Ozcan, P., and Gurses, K. (2018). Playing cat and mouse: contests over regulatory categorization of dietary supplements in the United States. Acad. Manag. J. 61, 1789–1820. doi: 10.5465/amj.2015.1221

Crossref Full Text | Google Scholar

Patriotta, G., and Gruber, D. A. (2015). Newsmaking and sensemaking: navigating temporal transitions between planned and unexpected events. Organ. Sci. 26, 1574–1592. doi: 10.1287/orsc.2015.1005

PubMed Abstract | Crossref Full Text | Google Scholar

Peplowski, K. (1998). The process of improvisation. Organ. Sci. 9, 560–561. doi: 10.1287/orsc.9.5.560

PubMed Abstract | Crossref Full Text | Google Scholar

Piezunka, H., and Dahlander, L. (2015). Distant search, narrow attention: how crowding alters organizations’ filtering of suggestions in crowdsourcing. Acad. Manag. J. 58, 856–880. doi: 10.5465/amj.2012.0458

Crossref Full Text | Google Scholar

Prem, R., Ohly, S., Kubicek, B., and Korunka, C. (2017). Thriving on challenge stressors? Exploring time pressure and learning demands as antecedents of thriving at work. J. Organ. Behav. 38, 108–123. doi: 10.1002/job.2115

PubMed Abstract | Crossref Full Text | Google Scholar

Richard, O. C., Triana, M. D. C., and Li, M. (2021). The effects of racial diversity congruence between upper management and lower management on firm productivity. Acad. Manag. J. 64, 1355–1382. doi: 10.5465/amj.2019.0468

Crossref Full Text | Google Scholar

Rudolph, J. W. (2003). Into the big muddy and out again: Error persistence and crisis management in the operating room [dissertation]. Boston, MA: Boston College.

Google Scholar

Rudolph, J. W., Morrison, J. B., and Carroll, J. S. (2009). The dynamics of action-oriented problem solving: linking interpretation and choice. Acad. Manag. Rev. 34, 733–756. doi: 10.5465/AMR.2009.44886170

Crossref Full Text | Google Scholar

Sackett, P. R. (1998). Assessment, measurement, and prediction for personnel decisions. Pers. Psychol. 51:731.

Google Scholar

Schilpzand, P., Houston, L., and Cho, J. (2018). Not too tired to be proactive: daily empowering leadership spurs next-morning employee proactivity as moderated by nightly sleep quality. Acad. Manag. J. 61, 2367–2387. doi: 10.5465/amj.2016.0936

Crossref Full Text | Google Scholar

Seedat, S., Scott, K. M., Angermeyer, M. C., Berglund, P., Bromet, E. J., Brugha, T. S., et al. (2009). Cross-national associations between gender and mental disorders in the World Health Organization world mental health surveys. Arch. Gen. Psychiatry 66, 785–795. doi: 10.1001/archgenpsychiatry.2009.36

PubMed Abstract | Crossref Full Text | Google Scholar

Slade Shantz, A. F., Kistruck, G. M., Pacheco, D. F., and Webb, J. W. (2020). How formal and informal hierarchies shape conflict within cooperatives: a field experiment in Ghana. Acad. Manag. J. 63, 503–529. doi: 10.5465/amj.2018.0335

Crossref Full Text | Google Scholar

Stansfeld, S. A., Rasul, F. R., Head, J., and Singleton, N. (2011). Occupation and mental health in a national UK survey. Soc. Psychiatry Psychiatr. Epidemiol. 46, 101–110. doi: 10.1007/s00127-009-0173-7

PubMed Abstract | Crossref Full Text | Google Scholar

Staw, B. M. (1981). The escalation of commitment to a course of action. Acad. Manag. Rev. 6, 577–587. doi: 10.2307/257636

Crossref Full Text | Google Scholar

Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence. Cambridge University Press.

Google Scholar

Sullivan, B. N. (2010). Competition and beyond: problems and attention allocation in the organizational rulemaking process. Organ. Sci. 21, 432–450. doi: 10.1287/orsc.1090.0436

PubMed Abstract | Crossref Full Text | Google Scholar

Sutton, T., Devine, R. A., Lamont, B. T., and Holmes, R. M. Jr. (2021). Resource dependence, uncertainty, and the allocation of corporate political activity across multiple jurisdictions. Acad. Manag. J. 64, 38–62. doi: 10.5465/amj.2017.1258

Crossref Full Text | Google Scholar

Vera, D., and Crossan, M. (2004). Theatrical improvisation: lessons for organizations. Organ. Stud. 25, 727–749. doi: 10.1177/0170840604042412

Crossref Full Text | Google Scholar

Vera, D., and Crossan, M. (2005). Improvisation and innovative performance in teams. Organ. Sci. 16, 203–224. doi: 10.1287/orsc.1050.0126

PubMed Abstract | Crossref Full Text | Google Scholar

Vera, D., Crossan, M., Rerup, C., and Werner, S. (2014). ‘Thinking before acting’or ‘acting before thinking’: antecedents of individual action propensity in work situations. J. Manag. Stud. 51, 603–633. doi: 10.1111/joms.12075

Crossref Full Text | Google Scholar

Vergne, J., and Depeyre, C. (2016). How do firms adapt? A fuzzy-set analysis of the role of cognition and capabilities in US defense firms’ responses to 9/11. Acad. Manag. J. 59, 1653–1680. doi: 10.5465/amj.2013.1222

Crossref Full Text | Google Scholar

Vestal, A., and Danneels, E. (2022). Technological distance and breakthrough inventions in multi-cluster teams: how intra-and inter-location ties bridge the gap. Adm. Sci. Q. 67, 167–206. doi: 10.1177/00018392211027512

Crossref Full Text | Google Scholar

Wang, T., and Zatzick, C. D. (2019). Human capital acquisition and organizational innovation: a temporal perspective. Acad. Manag. J. 62, 99–116. doi: 10.5465/amj.2017.0114

Crossref Full Text | Google Scholar

Weick, K. E. (1993). The collapse of sensemaking in organizations: the Mann gulch disaster. Adm. Sci. Q. 38, 628–652. doi: 10.2307/2393339

Crossref Full Text | Google Scholar

Weick, K. E. (1996). Drop your tools: an allegory for organizational studies. Adm. Sci. Q. 41, 301–313. doi: 10.2307/2393722

Crossref Full Text | Google Scholar

Weick, K. E., Sutcliffe, K. M., and Obstfled, D. (1999) in Organizing for high reliability: processes of collective mindfulness in research in organizational behaviour, 21, R: Sutton. ed. B. M. Staw (Greenwich, CT: JAI Press).

Google Scholar

Weingart, L. R., Brett, J. M., Olekalns, M., and Smith, P. L. (2007). Conflicting social motives in negotiating groups. J. Pers. Soc. Psychol. 93, 994–1010. doi: 10.1037/0022-3514.93.6.994

PubMed Abstract | Crossref Full Text | Google Scholar

Wry, T., and York, J. G. (2017). An identity-based approach to social enterprise. Acad. Manag. Rev. 42, 437–460. doi: 10.5465/amr.2013.0506

Crossref Full Text | Google Scholar

Keywords: cognitive appraisals, emergency response, improvisational ability, behavioral orientations, crisis setting

Citation: JunMei T and Zhengquan X (2025) Can collaborative orientations strengthen or weaken effectiveness of improvisers’ emergency response to an emergency incident? A conditional process model. Front. Psychol. 16:1547414. doi: 10.3389/fpsyg.2025.1547414

Received: 19 December 2024; Accepted: 11 April 2025;
Published: 28 April 2025.

Edited by:

John Plodinec, Independent Researcher, Aiken, SC, United States

Reviewed by:

Shah Fahad, University of Jinan, China
Khan Baz, Zhejiang Agriculture and Forestry University, China

Copyright © 2025 JunMei and Zhengquan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Tu JunMei, dGptMjIwMDgyQGN1bXQuZWR1LmNu; Xu Zhengquan, eHV6aGVuZ3F1YW5AY3VtdC5lZHUuY24=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.