Content uploaded by Ruth Blatt
Author content
All content in this area was uploaded by Ruth Blatt
Content may be subject to copyright.
Frontiers of Entrepreneurship Research
|Issue 11Volume 29
CHAPTER XI. TEAMS Article 1
6-6-2009
RESILIENCE IN ENTREPRENEURIAL
TEAMS: DEVELOPING THE CAPACITY TO
PULL THROUGH
Ruth Blatt
University of Illinois in Chicago, USA, rblatt@uic.edu
This Paper is brought to you for free and open access by the Entrepreneurship at Babson at Digital Knowledge at Babson. It has been accepted for
inclusion in Frontiers of Entrepreneurship Research by an authorized administrator of Digital Knowledge at Babson. For more information, please
contact digitalknowledge@babson.edu.
Recommended Citation
Blatt, Ruth (2009) "RESILIENCE IN ENTREPRENEURIAL TEAMS: DEVELOPING THE CAPACITY TO PULL THROUGH,"
Frontiers of Entrepreneurship Research: Vol. 29: Iss. 11, Article 1.
Available at: http://digitalknowledge.babson.edu/fer/vol29/iss11/1
RESILIENCE IN ENTREPRENEURIAL TEAMS:
DEVELOPING THE CAPACITY TO PULL THROUGH
Ruth Blatt, University of Illinois in Chicago, USA
ABSTRACT
Resilience, or the capacity to rebound from adversity strengthened and more resourceful, is an
important quality for entrepreneurial teams, yet we know little about how entrepreneurial teams
can foster resilience. I develop and test hypotheses about the antecedents and mechanisms for
resilience in entrepreneurial teams. I argue that communal schemas in entrepreneurial teams,
which entail caring for team members’ needs, foster resilience through the mechanisms of trust
and creativity. Moreover, I hypothesize that contracting practices that make expectations explicit
and activities transparent facilitate resilience through the mechanisms of role clarity and
accountability. The hypotheses are tested in a survey of 122 entrepreneurial teams. Results support
the proposed framework.
INTRODUCTION
Most new ventures are started by entrepreneurial teams (Ruef et al., 2003). Resilience, or the
capacity to rebound from adversity strengthened and more resourceful (Sutcliffe & Vogus, 2003),
is an important quality for entrepreneurial teams. The need to maintain positive adjustment under
challenging conditions comes from the near certainty that they will face road blocks, failures, and
disappointments. Promises of funding fall through, technological launches fail, competitors reach
the market first, or progress takes more time and money than anticipated. These contingenvcies are
even more likely to happen in today’s vulnerable economy. Entrepreneurial teams have no slack
resources and experience these near-disasters as stressful. In fact, resilience has been argued to be
an appropriate measure of entrepreneurial performance in the early stages of a venture, when hard
financial indicators are not available or appropriate (Cooper, 1991; Markman et al., 2005). This
paper aims to contribute to our understanding of how entrepreneurial teams can develop this
important capacity.
CHALLENGES OF RESILIENCE IN ENTREPRENEURIAL TEAMS
Several unique features of the entrepreneurial context render team resilience particularly
important and challenging. First, compared to other work teams, they face significant uncertainty,
ambiguity, and novelty. In a novel situation, individuals’ existing schemas, or mental templates
representing organized knowledge about particular domains (S. T. Fiske & Taylor, 1991), do not
fit their present circumstances. As a result, individuals feel disoriented, as they are unable to
define their situation or to establish meaningful relational or causal links between events (Weick,
1979). In entrepreneurship, this novelty has been associated with the liability of newness, or the
heightened risk for failure faced by young firms on account of their lack of existing roles and
working relationships (Stinchcombe, 1965). Entrepreneurs facing novelty are unclear about what
is happening and why and must choose among multiple interpretations for unclear data. They may
not know where to look for answers to their most pressing problems or even what questions to ask
in order to move their efforts forward (Amason, Shrader, & Tompson, 2006). As a result, any
given setback is particularly difficult to recover from.
1
Blatt: RESILIENCE IN ENTREPRENEURIAL TEAMS
Frontiers of Entrepreneurship Research 2009
Second, the experience of founding a new company is highly emotional, which can make it
challenging for teams to be resilient in responding to adversity. The ongoing uncertainty of
entrepreneurship can spur frustration, stress, and anxiety, as well as excitement (Wilson,
Centerbar, Gilbert, & Kermer, 2005). Entrepreneurship is emotionally intense because it entails
dealing with unexpected and surprising events (Mandler, 1984). Positive emotions, such as pride
and hope, can make entrepreneurs feel energized, enthusiastic, strong, and connected (Goss,
2005). But negative emotions also abound, as team members run into road blocks, failures, and
disappointments. The dread and frustration that can result from such near-disasters often erode
entrepreneurs’ perception that they can cope with their situation, and thereby their resilience
(Rindova & Petkova, 2007).
A third obstacle to resilience in entrepreneurial teams comes from the tendency in novel
situations to regress to over-learned responses and role-based behavior, even if these are not
appropriate in the current circumstances, resulting in behavior that is less flexible and more
schema-driven (Snook, 2000). Yet resilient responses to entrepreneurial challenges require
creative adaptation to challenges faced (Weick, 1993).
Finally, resilience is made difficult by the of lack roles, routines, and established patterns of
behavior to guide entrepreneurial behavior (Stinchcombe, 1965). Without a social structure in
place, adaptation to changing circumstances becomes particularly challenging. Team members
may pursue alternative and even conflicting courses of action that undermine a fast, coordinated,
and creative response to unexpected challenges.
REVIEW OF ANTECEDENTS OF TEAM RESILIENCE
Most studies of resilience have been conducted at the individual level (Masten & Reed, 2002).
Group researchers have not directly investigated resilience per se. However, theorists have
inferred that accumulated knowledge and variety in group composition increase resources and
efficacy (Sutcliffe & Vogus, 2003). Yet these theorists do not take into account relational issues or
unique context of novelty in entrepreneurship.
Studies of resilience in situations of novelty and uncertainty other than entrepreneurship, such
as in response to unexpected disasters, suggest that resilience hinges on the team’s ability to be
creative in making use of their (limited) resources to overcome the challenges they face in new
and useful ways (Weick, 1993). This research suggests that heterogeneity in team composition
would increase resilience, as it increases the team’s repertoire of possible actions for dealing with
adversity (Sutcliffe & Vogus, 2003). Yet there is limited empirical evidence supporting the impact
of team heterogeneity on creativity and resilience. In fact, heterogeneity can have negative
implications for teams. Although it can increase the quality and quantity of perspectives and
viewpoints on the team, it can also erode its relational fabric, as people generally get along better
with people who are like them (van Knippenberg & Schippers, 2007). It remains unclear how
entrepreneurial teams can foster creativity in light of their unique relational and task challenges.
Organizational consultants writing about resilience have suggested that the quality of
relationships matters for organizational resilience. Drawing on case studies and research on the
role of social support in individual resilience, they argued for the importance of caring
relationships for group and organizational resilience (e.g., Wilson & Ferch, 2005). Likewise case
studies of organizations responding to the terrorists attacks of September 1, 2001 also support the
importance of “relational reserves” in maintaining positive adjustment following a crisis (e.g.,
2
Frontiers of Entrepreneurship Research, Vol. 29 [2009], Iss. 11, Art. 1
Posted at Digital Knowledge at Babson
http://digitalknowledge.babson.edu/fer/vol29/iss11/1
Gittell et al., 2006). Yet no systematic research has been conducted on the role of caring
relationships in entrepreneurial resilience.
Another set of ideas from the study of organizing in the face of crisis suggests that certain form
of structure facilitate resilience (Weick 1993). Structure stabilizes meaning by creating shared
interpretive schemes. Structure also sets a framework of roles, rules, procedures, configured
activities and authority relations. Case studies following the terrorists attacks of September 1,
2001 also support the importance of “generative structures of resourcefulness,” or plans that are
flexible enough to improvise around (Beunza and Stark, 2003). Yet entrepreneurial teams are
defined by their lack of structure (Stinchcombe, 1965), and it is unclear which kind of structures
can facilitate resilience in entrepreneurial teams.
Below I draw on research from social psychology and inter-organizational contracting to
develop hypotheses for how communal schemas and contracting practices facilitate resilience in
entrepreneurial teams.
COMMUNAL SCHEMAS
Research on interpersonal relationships suggests that people apply specific relational schemas
toward others and that these schemas influence the nature and development of relationships (Reis,
Collins, & Berscheid, 2000). Relational schemas represent the type of relationship people desire
from others that influence how they interpret experiences and make decisions in their
relationships. They include a self-schema (how the person defines his or her self in the
relationship), a parallel schema for the partner, and a script governing how the two parties are
expected to interact (Baldwin, 1992). Relational schemas are important in understanding
relationships because they shape expectations, thereby shaping each person’s own behavior as
well as partners’ behavior and the nature of interactions. Because of the self-fulfilling nature of
expectations in personal relationships, relational schemas are often mutual (Reis et al., 2000).
Relational schemas govern how benefits and resources are allocated among relationship
partners (Clark & Mills, 1979; A. P. Fiske, 1992). For example, in the “equality matching
schema,” benefit allocation is governed by egalitarianism and balance. In the “authority ranking
schema,” benefits are allocated according to precedence, hierarchy, and status. In the “market
pricing schema,” proportionality determines allocation according to a common scale of ratio
values (such as money). And in the “communal schema,” giving is based on perceived need and is
done to express a person’s commitment to the relationship (Clark & Mills, 1979; A. P. Fiske,
1992).
Which relational schema should team members adopt? Interdependence theory holds that the
nature of interdependence in a relationship determines which kind of relational schema is most
adaptive (Kelley et al., 2003). Entrepreneurial teams are characterized by a high degree of
interdependence, uncertainty, shared interests, and expectations of working together over an
extended period of time. They work best when members make significant investments of time,
energy, and expertise in the relationship. Such relational situations generate high concern for
relationship maintenance (Kelley et al., 2003). Also, because dependence often entails
vulnerability, these situations may inspire motivated forms of cognition such as positive illusions
and downward social comparison. Specifically, interdependence theory predicts that in these
situations people are likely to apply a communal relational schema. As Kelley et al. (2003: 380)
write, “People should be driven to develop communal sharing rules in domain of their
environment in which they are subject to the whims of fate.” Anecdotal accounts of
3
Blatt: RESILIENCE IN ENTREPRENEURIAL TEAMS
Frontiers of Entrepreneurship Research 2009
entrepreneurial teams suggest that in practice, entrepreneurs are aware of the existence of
communal relations on the team. As Kaplan (1994: 19) notes of his experience co-founding a
technology company, “Forming a new company is like starting a romantic relationship.”
In communal relationships benefits are given to fulfill the other person’s needs or to express
concern. As Blau (1964: 6) writes, individuals in communal relationships “do favors for one
another not in the expectation of receiving explicit repayments but to express their commitment to
the interpersonal relation and sustain it by encouraging an increasing commitment on the part of
the other.” Communal schemas are engendered by a sense of belonging and mattering and by a
commitment to being together through good times and bad, regardless the relationship’s history
(McMillan & Chavis, 1986). Thus, people can become communal even toward relative strangers.
Communal Schemas and Resilience
Communal schemas on the team are hypothesized to increase resilience through their effect on
trust and creativity. With respect to trust, social cognition research suggests that thinking
communally about another person means caring about his or her needs. Thus individuals with a
communal schema are likely to be other-interested, rather than strictly self-interested. They tend to
pay attention to others’ needs (Clark, Mills, & Corcoran, 1989), help others address those needs
(Clark, Ouellette, Powell, & Milberg, 1987), and feel fulfilled when supporting others
(Williamson & Clark, 1989). These forms of social support lead others to perceive them as
trustworthy (Whitener, Brodt, Korsgaard, & Werner, 1998). This trust enables taking risks in
coping with adversity. Trust increases entrepreneurs’ propensity to share information, which
means that the team can mobilize its resources, such as time, effort, attention, and knowledge,
more effectively in the face of adversity (McEvily, Perrone, & Zaheer, 2003). Trust also increases
the likelihood that entrepreneurs respond favorably to each others’ actions, reducing detrimental
emotional conflict on the team (Dirks & Ferrin, 2001; Ensley, Pearson, & Amason, 2002).
Communal schemas are also hypothesized to increase resilience through their effect on
creativity. Communal schemas increase positive affect on the team (Francis & Sandberg, 2000).
This positive affect in the group, in turn, increases the group’s creativity by broadening cognition
and increasing the group’s repertoire of ideas and possibilities (Amabile, Barsade, Mueller, &
Staw, 2005; Fredrickson, 1998). Communal schemas also lead people to be more cohesive,
thereby promoting constructive conflict and the consideration of multiple viewpoints, which also
enhances creativity (Ensley et al., 2002).
CONTRACTING PRACTICES
Insights on the benefits of contracting practices in relationships come from research on inter-
organizational alliances (e.g., Carson, Madhok, & Wu, 2006; Vlaar, Van den Bosch, & Volberda,
2006). Like entrepreneurial teams, they represent relationships that are neither hierarchy (i.e., the
two firms are distinct entities rather than a single organization) nor market (i.e., the interaction
between them is embedded rather than arm’s length). Moreover, they share with entrepreneurial
teams high mutual and joint interdependence, as well as uncertainty.
Contracting is a behavioral practice that entails codifying and enforcing inputs, outputs, and
behaviors, thereby producing a testament of the process. The testament can be either written or
verbal; what matters is that there is explicitness and transparency about expectations from the
other party (see also Vlaar et al., 2006). Contracting practices provide direction for people about
what they need to do, thereby replacing an organizationally-given structure (Sine, Mitsuhashi, &
Kirsch, 2006). The power of contracting practices is not necessarily their legal enforceability,
4
Frontiers of Entrepreneurship Research, Vol. 29 [2009], Iss. 11, Art. 1
Posted at Digital Knowledge at Babson
http://digitalknowledge.babson.edu/fer/vol29/iss11/1
because most are actually too incomplete to constitute legal safeguards. Thus contracts are not
inherently obliging. Rather, contracting practices are a dynamic mechanism for clarifying and
elaborating objectives and responsibilities (Carson et al., 2006). They stimulate conversations that
create shared meaning where there is none by focusing partner’s attention on the same issues,
forcing articulation of opinions, and instigating and maintaining interaction about how the
company should be run (Vlaar et al., 2006). Contracting also creates rules or guidelines for action.
Although these rules are dynamic and continuously modified, at any given moment they serve as
templates for planning and accomplishing tasks (Desanctis & Poole, 1994).
Most entrepreneurial teams engage in some form of contracting when defining the ownership
of the firm. In contrast to these a priori contracts, contracting practices are embedded in the day-
to-day life of the team. For example, at the end of their weekly meetings, a team can put into
writing what each person had agreed to do, along with a target date to do it by, thereby making
explicit their goals and commitments and plans for achieving them, rather than agreeing in more
general terms (or not conducting weekly meetings at all). These examples correspond to the task
description aspect of contracting (Argyres, Bercovitz, & Mayer, 2007). A second practice of
contracting, contingency planning, entails conversations about how partners will deal with
problematic contingencies that might arise, such as changes in technology, competitor’s actions,
and unexpected delays (Argyres et al., 2007). Viewed from a practice perspective, contracting is
an ongoing and adaptive activity. Practices are repeatedly performed knowledgeable situated
activities (Orlikowski 2002; Jarzabkowski 2004). According to a practice lens, because
contracting practices are knowledgeable and situated, entrepreneurs engage in them in adaptive
and inventive ways to accomplish various ends (Orlikowski, 2000).
I hypothesize that contracting practices will also increase resilience in entrepreneurial teams
through their effect on trust and creativity. Contracting practices will increase trust through
increased belief by team members that others will do as expected (Rousseau et al., 1998).
Moreover, contracting entails extensive interaction and communication by team members about
the new ventures. The increased interpersonal knowledge that results from this contracting process
will lead team members to see one another as more predictable, thereby enhancing trust (Gabarro,
1987).
Contracting practices increase creativity by providing a “minimal structure”, a set of
consensual guidelines and agreements that focus the activities of people around a common set of
goals without limiting their discretion to best decide how to reach these goals (Kamoche & Cunha,
2001). Contracting practices increase clarity about how to manage the new venture and agreement
about it between entrepreneurial team members. They serve as substitutes for precedent, providing
clarity where there is none and protecting the team from detrimental mistakes and misalignments.
This minimal structure gives people a sense of who to follow and how to act even in the face in
the unknown (Weick, 1993). As Brown and Eisenhardt argue, “limited structure provides the
overarching framework without which there are too many degrees of freedom.” (1997: 16).
In sum, I hypothesize that communal schemas and contracting practices will increase resilience
in entrepreneurial team, and that these effects will be mediated by trust and creativity.
METHOD
The proposed framework was tested in a mail survey of 122 young knowledge-based new
ventures founded by teams.
5
Blatt: RESILIENCE IN ENTREPRENEURIAL TEAMS
Frontiers of Entrepreneurship Research 2009
Sample
Two sources provided the population for this study: the VentureXpert database and
www.linksv.com. The first was a subset of firms listed by the VentureXpert database.
VentureXpert is a comprehensive database of venture capital (VC) funded new ventures. The
VentureXpert database is provided by Thomson Venture Economics and has been used
extensively in earlier entrepreneurship research (e.g., Guler, 2007). The database enables
searching by industry and lists contact information for executives, year of founding, industry, and
amount of money invested in the startup. To generate the population for the survey, I created a
database of VC-funded companies listed in VentureXpert that met the following criteria (1) they
were U.S.-based, (2) they operated in high-technology industries (codes 1000 (information
technology) and 4000 (medical/health/life sciences), (3) were in the seed or startup investment
stage (i.e., funding to develop the idea, conduct market and feasibility research, and start the
business), and (4) were founded in 2004 or later. I use a three-year cutoff to ensure that the
companies were indeed early in their development. Of the 1044 companies that met these criteria,
contact information was available for 720.
The second source was www.linksv.com, a website listing information about Silicon Valley
startups. From this source I obtained contact information for an additional 130 companies that met
the above criteria. Thus the mailing included 850 companies. However, 210 companies were
excluded from the sample because (1) the address was wrong and the surveys were returned, (2)
the contact person was no longer there or did not receive the survey, or (3) the company did not
meet the selection criteria. Thus the final set of companies contacted was 610.
Survey Design and Administration
Mail surveys are the most common form of data collection in entrepreneurship and small
business research (Bartholomew & Smith, 2006). The survey used in this study was designed to
assess the constructs of interest using multiple-item seven-point Likert-like scales, to be clear and
concise, and to group similar items together to aid in comprehension. I also provided identifying
labels for each set of items to direct the respondents’ thinking about the items. Whenever possible,
I used or modified existing scales that have been validated in previous literature (see description of
measures below). I pretested the survey with an entrepreneur, a venture capitalist, and two non-
entrepreneurs to ensure that the items are clear, the survey does not take too long (less than 20
minutes), and that the survey’s language fits the context.
I sent the survey to the contact person listed in these databases (usually the founder or Chief
Executive Officer). I employed several means to increase response rates, using Dillman’s (2000)
tailored design method. This method is based on creating respondent trust and perceptions of
increased rewards and reduced costs for being a respondent.
Measures
To assess resilience I modified the two “commitment to resilience” items from the “Safety
Organizing Survey” (Vogus & Sutcliffe, 2007). The items are (1) We talk about mistakes and
ways to learn from them (2) When unexpected challenges occur, we discuss how we could have
prevented them. In addition, I included modifications of the four items in the Brief Resilient
Coping Scale (Sinclair & Wallston, 2004): (3) We look for creative ways to alter difficult
situations, (4) Regardless of what happens to us, we can control our reaction to it, (5) We can
6
Frontiers of Entrepreneurship Research, Vol. 29 [2009], Iss. 11, Art. 1
Posted at Digital Knowledge at Babson
http://digitalknowledge.babson.edu/fer/vol29/iss11/1
grow in positive ways by dealing with difficult situations, (6) We actively look for ways to
overcome the challenges we encounter.
To assess contracting practices, I modified Argyres, Bercovitz, and Mayer’s (2007) measure
of contracts. Respondents indicated agreement with the following statements: (1) When we hold
meetings, we specify explicitly the list of tasks each of us will accomplish, (2) When we hold
meetings, we specify explicitly the criteria for task completion, (3) When we hold meetings, we
specify explicitly the schedule for task completion.
To assess the extent of communal schemas of team members toward each other, the survey
used the name-generator method, commonly used in network studies (Lin, 1999). Using initials,
each participant was asked to list up to four people, using initials, who are part of the
entrepreneurial team. I used the term “executive team” on the survey, following feedback from
pre-testing and defined it as those who hold an equity stake and are actively involved in strategic
decision making. After the list, the participant was asked to answer demographic questions about
each of the team members listed as well as to describe the extent of his or her communal
orientation toward that person. Communal schemas were assessed with a modification of the
communal strength measure used by Mills et al. (2004).
The level of communal schemas was computed as follows. First, I averaged the six communal
schema items as reported for each team member. Thus if a respondent had indicated that she had
three team members, I obtained three values representing her average communal schema level
toward each of the three team members. I then averaged the communal schemas value across all
team members about whom the respondent had reported. Thus in the example, I averaged the
communal schema level for the three team members to obtain a general communal schema score
for the respondent.
Trust among the team was assessed using Langfred’s (2004) measure of trust. To assess
creativity I used a version of Zhou and George’s (2001) creativity scale modified to the
entrepreneurial team context.
Reliability Analysis
I used several means to assess the reliability of the scales, including Crobach’s alpha, an
exploratory factor analysis, and a confirmatory factor analysis. Cronbach’s alpha assumes a
unidimensional factor structure. Exploratory factor analysis (EFA) was used to determine if this
assumption is valid or if, in fact, a multi-dimensional factor structure is more appropriate. Due to
sample size, it was impossible to conduct a confirmatory factor analysis (CFA) that includes all of
the variables in the study. However, I used CFAs to assess discriminant validity, or the degree to
which items measuring different variables actually differ, by conducting pairwise tests of
theoretically related constructs to assess whether a model representing two factors fit the data
significantly better than a one-factor model. All of the constructs in the study exhibited high
reliability.
FINDINGS
I received responses from 155 firms, representing a 25% response rate, which is close to the
27% average response rate for surveys in entrepreneurship (Bartholomew & Smith, 2006). 122 of
the returned surveys met the selection criteria for the study and were used in the analysis.
7
Blatt: RESILIENCE IN ENTREPRENEURIAL TEAMS
Frontiers of Entrepreneurship Research 2009
The hypotheses were tested through a structural equation model using parceled variables. In
this analysis, I collapsed indicators by averaging such that the model contained only two indicators
per construct, which enables the model to converge, despite the small sample size, by reducing the
number of parameters. According to Bagozzi and Edwards (1998), a structural equation model
with parceled variables is appropriate in situations where constructs have high reliability, high
correlations between the items that are averaged, and the averaged items load on a single factor.
The exploratory and confirmatory factor analyses supported the validity of this approach.
Figure 1 presents the standardized coefficients (betas) for the proposed model. To determine
the overall fit of the model, I used several goodness-of-fit indices: the chi-square test, the Mean
Square Error of Approximation (RMSEA), the non-normed fit index (NNFI), the comparative fit
index (CFI), and the Standardized root mean square residual (SRMR). While there are no hard-
fast rules for assessing goodness of fit, scholars generally agree that a non-significant chi-square,
RMSEA at .05 or lower, NNFI and CFI at .95 or higher, and an SRMR of .08 or lower indicate a
good fit (Hu & Bentler, 1999). For the hypothesized model, the chi-square (df=29, n=122) is
69.394 (p<.001), the RMSEA is .107, the NNFI is .950, the CFI is .968, and the SRMR is .094.
These findings indicate a poor fit for the proposed theoretical model.
Figure 2 presents a revised model in which creativity is the only moderation. For this revised
model, the chi-square (df=16, n=122) is 24.75 (n.s.), the RMSEA is .067, the NNFI is .980, the
CFI is .991, and the SRMR is .047. These findings suggest a good fit for the revised model.
DISCUSSION
The findings of this survey of entrepreneurial teams support the proposition that communal
schemas and contracting practices facilitate resilience in entrepreneurial teams. The findings about
communal schemas challenge prevalent portrayals of successful entrepreneurs that imply that they
are individualistic and self-interested (e.g., McGrath et al., 1992). In contrast, I find that members
of resilient entrepreneurial teams care about one another and value relationships for their own sake
rather than only as a means to reach desired goals. The findings about contracting practices
highlight the importance of dynamic contracting in highly uncertain situations.
The finding that the combination of the apparently paradoxical mechanisms of communal
schemas and contracting practices positively impacts team resilience in new ventures challenges
the prevalent dichotomy between the communal and economic/legalistic realms. It suggests that in
highly uncertain and complex situations, such as entrepreneurial teams, both mechanisms are
beneficial. This “both/and” perspective adds to existing literature on the benefits of paradox in
managing complex situations. Paradox means the simultaneous presence of contradictory elements
(Quinn & Cameron, 1988). When entrepreneurs are able to accommodate apparent opposites, they
can benefit from paradoxical thinking. In established organizations, paradoxical thinking has been
shown to enable people to “reframe their assumptions, learn from existing tensions, and develop a
more complicated repertoire of understandings and behaviors that better reflects organizational
intricacies (Lewis, 2000: 764).”
Resilience in the face of setbacks in new ventures appears to benefit from an approach that
combines elements from the apparently disparate communal and economic/legal realms.
Contracting practices may serve as a platform upon which entrepreneurs can leverage the benefits
of communal schemas, and vice versa. Apparent opposites can be mutually reinforcing (Clegg,
Vieira, & Cunha, 2002). Thus when enacted with communal schemas, contracting practices mean
that entrepreneurs acknowledge the complexity of their situations. When communal schemas are
8
Frontiers of Entrepreneurship Research, Vol. 29 [2009], Iss. 11, Art. 1
Posted at Digital Knowledge at Babson
http://digitalknowledge.babson.edu/fer/vol29/iss11/1
enacted with contracting practices, this means that team members’ caring is not “blind”.
Contracting is a practice that enables communal partners to hold “difficult” or “uncomfortable”
discussions (Vlaar et al., 2006). As a result, their relationship is of a higher quality, as it is more
robust to various contingencies, can support discussions of a broader range of issues, and is thus
resilient in the face of setbacks (Dutton & Heaphy, 2003).
This study also shed light on the mechanism through which communal schemas and
contracting practices affect resilience. Specifically, creativity appears to be a key mechanism
through which communal schemas and contracting practices have their positive effects on
resilience. Surprisingly, including trust as a mediator did not improve the fit of the data to the
model, suggesting that trust, though important for teams, does not play a role in resilience. Future
research should explore other mediators of the relationship between contracting practices and
resilience in entrepreneurial teams.
Several limitations qualify the conclusions drawn from this study. First is the relatively small
sample and relatively low response rate. Although both the sample size and response rate are
typical for surveys of entrepreneurs (Bartholomew & Smith, 2006), they pose a problem for both
statistical power and generalization. Especially in a study of resilience, understanding the reasons
for non-response is important for the validity of the results.
A second limitation has to do with the operationalization of constructs. Although the
hypotheses were at the team level, data were provided by only one team member. This issue is
particularly problematic in the case of communal schemas. Future work should not only collect
data on communal schemas from all team members, but also explore different operationalizations
(average level of communal schemas, heterogeneity of communal schemas, lowest value, highest
values, etc.) to better our understanding of the effects of communal schemas on entrepreneurial
teams.
In sum, this study sheds significant explanatory light on the antecedents and mediators of
resilience in entrepreneurial teams. It finds that the creativity that enables teams to adapt
successfully in the face of unexpected setbacks can be created by adopting a communal approach
toward team members, characterized by genuine caring, and by enacting contracting practices that
increase explicitness and transparency in interactions about the day-to-day operation of the firm.
CONTACT: Ruth Blatt; rblatt@uic.edu; (T): 734-546-0503; (F): 312-996-3559; Department of
Managerial Studies, University of Illinois in Chicago, University Hall, 2215, 601 South Morgan
St., Chicago, IL 60607.
ACKNOWLEDGEMENTS
This research was supported by a grant from the The Samuel Zell & Robert H. Lurie Institute for
Entrepreneurial Studies at the University of Michigan.
9
Blatt: RESILIENCE IN ENTREPRENEURIAL TEAMS
Frontiers of Entrepreneurship Research 2009
REFERENCES
Amabile, T. M., Barsade, S. G., Mueller, J. S., & Staw, B. M. (2005). Affect and Creativity at
Work. Administrative Science Quarterly, 50(3), 367-403.
Amason, A. C., Shrader, R. C., & Tompson, G. H. (2006). Newness and Novelty: Relating Top
Management Team Composition to New Venture Performance. Journal of Business
Venturing, 21, 125-148.
Argyres, N. S., Bercovitz, J., & Mayer, K. J. (2007). Complementarity and Evolution of
Contractual Provisions: An Empirical Study of IT Services Contracts. Organization
Science, 18(1), 3-19.
Bagozzi, R. P., & Edwards, J. R. (1998). A General Approach for Representing Constructs in
Organizational Research. Organizational Research Methods, 1(1), 45-87.
Baldwin, M. W. (1992). Relational Schemas and the Processing of Social Information.
Psychological Bulletin, 112, 461-484.
Bartholomew, S., & Smith, A. D. (2006). Improving Survey Response Rates from Chief Executive
Officers in Small Firms: The Importance of Social Networks. Entrepreneurship Theory
and Practice, 30(1), 83-96.
Blau, P. M. (1964). Exchange and Power in Social Life. New York: Wiley.
Brown, S. L., & Eisenhardt, K. M. (1997). The Art of Continuous Change: Linking Complexity
Theory and Time-paced Evolution in Relentlessly Shifting Organizations. Administrative
Science Quarterly, 42, 1-34.
Carson, S. J., Madhok, A., & Wu, T. (2006). Uncertainty, Opportunism, and Governance: The
Effects of Volatility and Ambiguity on Formal and Relational Contracting. Academy of
Management Journal, 49(5), 1058-1077.
Clark, M. S., & Mills, J. (1979). Interpersonal Attraction in Exchange and Communal
Relationships. Journal of Personality and Social Psychology, 37, 12-24.
Clark, M. S., Mills, J., & Corcoran, D. M. (1989). Keeping Track of Needs and Inputs of Friends
and Strangers. Personality and Social Psychology Bulletin, 15(4), 533-542.
Clark, M. S., Ouellette, R., Powell, M. C., & Milberg, S. (1987). Recipient's Mood, Relationship
Type, and Helping. Journal of Personality and Social Psychology, 53(1), 94-103.
Clegg, S. R., Vieira, d. C., & Cunha, P. M. (2002). Management Paradoxes: A Relational View.
Human Relations, 55(5), 483-503.
Desanctis, G., & Poole, M. S. (1994). Capturing the Complexity in Advanced Technology Use:
Adaptive Structuration Theory. Organization Science, 5(2), 121-147.
Dillman, D. A. (2000). Mail and Internet Surveys. New York: John Wiley & Sons.
Dirks, K. T., & Ferrin, D. L. (2001). The Role of Trust in Organizational Settings. Organization
Science, 12(4), 450-467.
Dutton, J. E., & Heaphy, E. D. (2003). The Oower of High-quality Connections at Work. In K. S.
Cameron, J. E. Dutton & R. E. Quinn (Eds.), Positive Organizational Scholarship (pp.
264-278). San Francisco: Berrett-Koehler.
Ensley, M. D., Pearson, A. W., & Amason, A. C. (2002). Understanding the Dynamics of New
Venture Top Management Teams: Cohesion, Conflict, and New Venture Performance.
Journal of Business Venturing, 17, 365-386.
Fiske, A. P. (1992). The Four Elementary Forms of Sociality : Framework for a Unified Theory of
Social Relations. Psychological Review, 99(4), 689-723.
Fiske, S. T., & Taylor, S. E. (1991). Social Cognition (2nd ed.). New York: McGraw-Hill.
Fredrickson, B. L. (1998). What Good are Positive Emotions? Review of General Psychology,
2(3), 300-319.
Goss, D. (2005). Schumpeter's Legacy? Interaction and Emotions in the Sociology of
Entrepreneurship. Entrepreneurship Theory and Practice, 29(2), 205-218.
10
Frontiers of Entrepreneurship Research, Vol. 29 [2009], Iss. 11, Art. 1
Posted at Digital Knowledge at Babson
http://digitalknowledge.babson.edu/fer/vol29/iss11/1
Guler, I. (2007). Throwing Good Money after Bad? Political and Institutional Influences on
Sequential Decision Making in the Venture Capital Industry. Administrative Science
Quarterly, 52(2), 248-285.
Hu, L., & Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis:
Conventional Criteria Versus New Alternatives. Structural Equation Modeling, 6(1), 1-
55.
Kaplan, J. (1994). Startup: A Silicon Valley Adventure. New York: Penguin Books.
Kelley, H. H., Holmes, J. G., Kerr, N. L., Reis, H. T., Rusbult, C. E., & Van Lange, P. A. M.
(2003). An Atlas of Interpersonal Situations. New York: Cambridge University Press.
Langfred, C. W. (2004). Too Much of a Good Thing? Negative Effects of High Trust and
Individual Autonomy in Self-managing Teams. Academy of Management Journal, 47(3),
385-399.
Lewis, M. W. (2000). Exploring Paradox: Toward a More Comprehensive Guide. Academy of
Management Review, 25(4), 760-776.
Lin, N. (1999). Social Networks and Status Attainment. Annual Review of Sociology, 25, 467-487.
Mandler, G. (1984). Mind and Body. New York: W.W. Norton.
Masten, A. S., & Reed, M. J. (2002). Resilience in Development. In C. R. Snyder & S. J. Lopez
(Eds.), Handbook of Positive Psychology (pp. 74-88). New York: Oxford University
Press.
McEvily, B., Perrone, V., & Zaheer, A. (2003). Trust as an Organizing Principle. Organization
Science, 14(1), 91-103.
McMillan, D. W., & Chavis, D. M. (1986). Sense of Community: A Definition and Theory.
American Journal of Community Psychology, 14(1), 6-23.
Mills, J., Clark, M. S., Ford, T. E., & Johnson, M. (2004). Measurement of Communal Strength.
Personal Relationships, 11, 213-230.
Orlikowski, W. J. (2000). Using Technology and Constituting Structures: A Practice Lens for
Studying Technology in Organizations. Organization Science, 11(4), 404-428.
Quinn, R. E., & Cameron, K. S. (1988). Paradox and Transformation: Towards a Theory of
Change in Organizations. Cambridge, MA: Ballinger Publishing.
Reis, H. T., Collins, W. A., & Berscheid, E. (2000). The Relationship Context of Human Behavior
and Development. Psychological Bulletin, 126(6), 844-872.
Rindova, V. P., & Petkova, A. P. (2007). When is a New Thing a Good Thing? Technological
Change, Product Form Design, and Perceptions of Value for Product Innovations.
Organization Science, 18(2), 217-232.
Sinclair, V. G., & Wallston, K. A. (2004). The Development and Psychometric Evaluation of the
Brief Resilient Coping Scale. Assessment, 11(1), 94-101.
Sine, W. D., Mitsuhashi, H., & Kirsch, D. A. (2006). Revisiting Burns and Stalker: Formal
Structure and New Venture Performance in Emerging Economic Sectors. Academy of
Management Journal, 49(1), 121-132.
Snook, S. A. (2000). Friendly Fire: The Accidental Shootdown of U.S. Black Hawks Over
Northern Iraq. Princeton, NJ: Princeton University Press.
Stinchcombe, A. L. (1965). Social Structure and Organizations. In J. G. March (Ed.), Handbook of
Organizations (pp. 142-193). Chicago: Rand McNally.
Sutcliffe, K. M., & Vogus, T. J. (2003). Organizing for Resilience. In K. S. Cameron, J. E. Dutton
& R. E. Quinn (Eds.), Positive Organizational Scholarship: Foundations of a New
Discipline (pp. 94-110). San Francisco: Berrett-Koehler.
van Knippenberg, D., & Schippers, M. C. (2007). Work-group Diversity. Annual Review of
Psychology, 58, 515-541.
11
Blatt: RESILIENCE IN ENTREPRENEURIAL TEAMS
Frontiers of Entrepreneurship Research 2009
Vlaar, P. W. L., Van den Bosch, F. A. J., & Volberda, H. W. (2006). Coping with Problems of
Understanding in Interorganizational Relationships: Using Formalization as a Means to
Make Sense. Organization Studies, 27(11), 1617-1638.
Vogus, T. J., & Sutcliffe, K. M. (2007). The Safety Organizing Scale: Development and
Validation of a Behavioral Measure of Safety Culture in Hospital Nursing Units. Medical
Care, 45, 46-54.
Weick, K. E. (1979). The Social Psychology of Organizing. New York: McGraw-Hill.
Weick, K. E. (1993). The Collapse of Sensemaking in Organizations: The Mann Gulch disaster.
Administrative Science Quarterly, 38, 628-652.
Whitener, E. M., Brodt, S. E., Korsgaard, M. A., & Werner, J. M. (1998). Managers as Initiators
of Trust: An Exchange Relationship Framework for Understanding Managerial
Trustworthy Behavior. Academy of Management Review, 23(3), 513-530.
Williamson, G. M., & Clark, M. S. (1989). Providing Help and Desired Relationship Type as
Determinants of Changes in Moods and Self-evaluations. Journal of Personality and
Social Psychology, 56(5), 722-734.
Wilson, T. D., Centerbar, D. B., Gilbert, D. T., & Kermer, D. A. (2005). The Pleasures of
Uncertainty: Prolonging Positive Moods in Ways People Do Not Anticipate. Journal of
Personality and Social Psychology, 88(1), 5–21.
Zhou, J., & George, J. M. (2001). When Job Dissatisfaction Leads to Creativity: Encouraging the
Expression of Voice. Academy of Management Journal, 44(4), 682-696.
12
Frontiers of Entrepreneurship Research, Vol. 29 [2009], Iss. 11, Art. 1
Posted at Digital Knowledge at Babson
http://digitalknowledge.babson.edu/fer/vol29/iss11/1
Figure 1:
Note. * Significant at .05 level.
Resilience
Communal
Schemas Trust
Contracting
Practices Creativity
.20
.44*
.30*
.36*
.09*
.51*
.23*
.33*
13
Blatt: RESILIENCE IN ENTREPRENEURIAL TEAMS
Frontiers of Entrepreneurship Research 2009
Figure 2: Revised Structural Equation Model
Note. * Significant at .05 level.
Communal
Schemas
Contracting
Practices
Creativity Resilience
.30*
.35*
.43*
.45*
.13*
14
Frontiers of Entrepreneurship Research, Vol. 29 [2009], Iss. 11, Art. 1
Posted at Digital Knowledge at Babson
http://digitalknowledge.babson.edu/fer/vol29/iss11/1