1. Introduction
Prior research has established links between entrepreneurship and economic freedom, regulatory environments, access to entrepreneurial finance, barriers to entrepreneurial entry and national culture among others (
Puia and Minnis 2007). Entrepreneurship research including the Global Entrepreneurship Monitor (GEM) system has systematically tracked attitudes toward careers in entrepreneurship for more than two decades (
Wong et al. 2005). There has also been significant research devoted to understanding how to change and develop an individual’s attitude toward entrepreneurship as a career (
Kuratko et al. 2015). The importance of entrepreneurial education is illustrated by prominent special issues, for example by the Journal of Small Business Management in 2018 and Entrepreneurship and Regional Development in 2012. Nevertheless, the findings on whether, and to what extent, teaching interventions are effective for boosting interest and developing skillset needed for entrepreneurial activity remain inconclusive and fragmented (
Mwasalwiba 2010). The existing body of literature on best practices in entrepreneurial education is also limited by the fact that most entrepreneurial teaching interventions studied had a type of traditional classroom curriculum in the form of classroom discussions, case studies or lectures over semester-long courses (
Bennett 2006).
The topic of best interventions in entrepreneurial education constitutes a significant research and public policy question; if public policies are designed to increase entrepreneurial activity, it will be valuable to learn the extent to which individuals can be influenced to value and seek entrepreneurial careers. Moreover, entrepreneurial skills have been identified as part of a general skill set that is needed to succeed in dynamic modern job markets (
Savickas et al. 2009), that are marked by uncertain economic environments, but also potential opportunities created by technological change. It is therefore valuable to understand which types of interventions may be the most effective in boosting feelings of entrepreneurial self-efficacy and skillset needed to launch new ventures.
Despite the wide popularity of hackathons in entrepreneurial contexts, their effectiveness for entrepreneurial learning and changing attitudes toward entrepreneurship are under-investigated. This research aims at addressing the question of their potential usefulness for entrepreneurial education, and therefore, remedying this gap in entrepreneurial research and practice. Our research questions seek to determine whether an entrepreneurial learning experience in the form of a hackathon will lead to two major outcomes: Increased confidence in one’s ability to identify an entrepreneurial idea and increased confidence in one’s ability to craft a successful entrepreneurial venture.
Entrepreneurship is known to involve risk-taking, uncertainty, creativity, leadership and proactivity, but it also entails several motivational characteristics like passion and persistence (
Newman et al. 2019). The authors posit that educational experiences that emulate a high-pressure, real-world business environment and force participants to rapidly apply newly acquired knowledge and receive feedback on these ideas may be more effective for increasing entrepreneurial self-efficacy than developing and refining entrepreneurial ideas over a longer periods of time (like for example several days, weeks or even months) in a less pressurized classroom setting. The authors theorize that these types of intensive experiences better emulate a high degree of motivation and energy that is typical for embarking on new entrepreneurial ventures, as well as have the potential to create a strong and lasting positive feedback loop that alters individuals’ beliefs related to their own ability to apply and utilize entrepreneurial concepts and best practices. The authors hypothesize that applying entrepreneurial concepts quickly to the development of an idea, and presenting these ideas as fully developed (if not yet fully tested) entrepreneurial opportunities increases individuals’ self-belief in their entrepreneurial acumen more than developing ideas over a longer period of time. Therefore, this research study focuses on the educational effects of a pressurized teaching intervention in a form of an entrepreneurial hackathon on the development of entrepreneurial self-efficacy and entrepreneurial skillset.
Our results suggest that a hackathon is an effective model for entrepreneurial learning. As the result of a one-day workshop, significant results were achieved for self-reported ability in identifying a viable entrepreneurial concept, and for having the ability to successfully launch a new venture. Further, class standing and prior entrepreneurial courses, as well as gender did not influence the learning outcomes. Importantly, while hackathon-generated increases in entrepreneurial self-efficacy proved to be statistically significant, same gains proved not to be significant in a traditional entrepreneurship class setting. Entrepreneurial self-efficacy gains were found to be independent of age, gender or academic standing.
This study makes several important contributions to the entrepreneurship and vocational behavior literatures that have implications for educators and policy makers. Firstly, this is the first research study known to the authors that addresses teaching effectiveness of a hackathon for the development of entrepreneurial skillset and self-efficacy. Secondly, this research study places hackathons in the context of a problem-based learning instructional approach and advances our understanding of the effectiveness of this teaching method. Finally, this study also offers a comparison between the effectiveness of a hackathon with that of a semester-long entrepreneurial course for the participants’ growth in their perceived entrepreneurial skillset and entrepreneurial self-efficacy.
This paper is organized as follows: After explaining the nature and process of hackathons, authors place them in the context problem-based learning methodology. Following this description of the phenomenon being studied, the authors discuss research questions, as well as formulate research hypotheses. Subsequently, we present our methodology and results. The paper concludes with a discussion of the findings in the context of their implications for educators and policy makers.
3. Methods
3.1. The Participants
Creating the intensive simulation event involved a multi-step process; the first step was to identify a target group of students. The students chosen to participate were drawn from a state university in Michigan, United States. The University population was roughly 9800 students and the College of Business (AACSB accredited) had roughly 1200 students pursuing degrees in four departments: Accounting, Economics, Management and Marketing as well as Finance. Major industry sectors in the local area were manufacturing and agriculture, along with services.
The authors purposefully oversampled first and second year students to partial out the effects of advanced academic courses. All the students had received some level of university supported leadership training. To minimize the demand effects on the program evaluation, students were informed that the one-day workshop centered primarily on leadership development.
To construct the student teams, the authors utilized the Clifton StrengthsFinder™ assessment tool that measures the presence of the 34 individual talent themes, or strengths, divided into four domains: executing, influencing, relationship and strategic thinking. Talents are one’s naturally recurring patterns of thought, feeling or behavior that can be productively applied; the more dominant a theme is in a person, the greater the impact on their behavior and performance (
Rath 2007). Using the assessment, teams were formed by placing students together to ensure that all four domains outlined in Clifton StrengthsFinder™ assessment tool were covered in each team; this placed students with complementary as well as contrasting strengths together. The pedagogical intent was to emulate a real work environment where similarities and differences of opinions must be worked through to succeed as a group.
3.2. Hackathon Event
At the start of the workshop, each student was provided with a pre-assembled packet with their team assignment, materials for the simulation, an introduction of the goals and an agenda for the day. Before and after the workshop, students completed a short survey (
Appendix A). Entrepreneurial knowledge development was assessed with the question: “Before (after) participating in this workshop, I felt I had the knowledge and skill required to start a business. A. Yes, B. No, C. Don’t know”. Entrepreneurial self-efficacy was assessed with the question: “Before (after) participating in this workshop, I felt that I could come up with a viable business idea”. A. Yes, B. No, C. Don’t know.
The program began with a series of interactive “Icebreaker” activities designed to help them build chemistry as a group that would be working together all day. The icebreakers require high levels of collaboration and communication in a short amount of time followed by a brief public presentation. Following the Icebreakers, students were introduced to the Business Model Canvas (BMC), a strategic management and lean startup template for developing new or documenting existing business models (
Osterwalder and Pigneur 2010). The canvas is a visual framework with elements describing a firm’s or products value proposition, infrastructure, customers and finances that produces a glimpse of the bigger picture. The premise of the BMC is that an entrepreneur should be able to describe the economic and business logic of their business concept on a single page.
Groups worked as cohesive teams that processed significant diversity of opinions and leadership styles while designing and evaluating a response to an entrepreneurial opportunity. Each team was assigned a business startup opportunity that included a fictional story describing how the idea was generated; it also included the basic business opportunity premise. Teams then breakout with their coach to separate rooms to build a BMC for their assigned idea over 3 h. Students were provided with blank canvases, colored sticky notes, pens, markers and large papers to hang on the wall. They had access to consultants for brief specific questions. These consultants included two seasoned entrepreneurs and two faculty members from the college of business.
The idea was to generate a fully-fledged business model that would be appropriate for the described business opportunity. While the business opportunity was singular, there were many possible ways to develop the offering and commercialize the business. Therefore, students were encouraged to brainstorm different “roads to” commercialization and choose one business model that they deemed the most promising.
During lunch, students received their next set of instructions: Put together an investor pitch where they will present their ideas to a panel of entrepreneurial minded judges who will be acting as “investors”. The teams’ goal was to pitch their idea with enough merit and enthusiasm to get the judges to select them as the best idea in which to “invest”. The students were informed how the judges would evaluate them, as well as some tips on how to best frame their presentations.
The teams returned to their breakout rooms and were given 45 min to work together on building their pitch. All teams returned to the main room to pitch their ideas to the judges, in random order. Judges could ask questions and provide feedback on their ideas as well as their pitch. Finally, all teams were scored using agreed upon rubrics, which were returned to the students with comments. In conclusion of the simulation, winners were announced and prizes were awarded.
In conclusion of this event description, it is important to note some critical elements of the hackathon process: All groups had a mix of ages, the same tool based on a lean startup model and a very limited time frame to complete the fully-fledged investor pitch presentation. Certain steps were taken to avoid threats to face validity such as the short length of time, the consistent use of Business Model Canvas methodology and the team composition in order to maximize diversity of ideas and leadership styles.
4. Data Analysis Methods
As part of our program evaluation, the authors received survey feedback from 71 of the 74 student participants (surveys were voluntary resulting in N = 71). The authors collected data on class ranking, gender, whether they had taken entrepreneurship courses and on specific attributes of the experience.
Table 1 and
Table 2 display the frequency of response for each variable.
Relative to the research propositions, the authors were interested in determining the efficacy of a hackathon approach to entrepreneurial learning and self-efficacy outcomes. Specifically, the authors were interested in whether students felt more confidence in their knowledge and skills relative to starting a business because of completing the workshop. Using a pre-test/post-test ANOVA model, we found a significant outcome, F = 7.997 with a p value of 0.006 (See
Table 3). Further testing revealed that prior entrepreneurial course work or rank in class were not significant (
p-values of 0.98 and 0.212). There was a significant gender effect on this question (
p = 0.01); post-hoc evaluation however found that both men and women saw significant improvements but one group improved more than the other. The program evaluation evidence then strongly supports that the gains were not from other variables but from the workshop.
Since the problem/idea to pursue was provided in the workshop packet, the authors were interested in whether the student felt more confidence in their ability to generate a viable business model as the result of completing the workshop. Using the same pre-test/post-test ANOVA model, the authors also found a significant outcome, F = 16.035 with a p value of 0.000 (See
Table 4). Further testing revealed that prior entrepreneurial course work, rank in class, and gender were not significant (
p-values of 0.28, 0.27 and 0.978 respectively) to our findings.
5. Discussion
In order to better understand the effect of a hackathon format on entrepreneurial learning, we have compared its outcomes to that of a traditional entrepreneurial class
1. Even though different groups of students participated in the hackathon event and in the entrepreneurial class, making the results not completely comparable, we believe that this comparison still offers valuable insights into the effectiveness of a hackathon for entrepreneurial learning in the areas of knowledge acquisition and potential improvement of perceived entrepreneurial self-efficacy. In evaluating students’ classroom experience we used the same questionnaire and pre-test/post-test ANOVA model that was used to analyze the effects of a hackathon.
Table 5,
Table 6,
Table 7 and
Table 8 summarize our findings.
While students reported gaining more entrepreneurial skills and a greater ability to come up with a viable business idea as a result of their involvement in a hackathon, the same learning gains proved not to be statistically significant in a traditional class format (See results in
Table 7 and
Table 8). We think that this result may have partially to do with self-selection of students enrolling in traditional entrepreneurial classes; a large number of students choosing entrepreneurial curriculum come with formulated business ideas and believe that they have the knowledge and skills required to start a new business (for frequencies please refer to
Table 5, for frequencies of covariate measures including gender and class rank please refer to
Table 6). Further testing revealed that prior entrepreneurial course work, rank in class and gender were also not significant to findings related to the effectiveness of a traditional class format. While this result is at odds with a number of studies on the development of an entrepreneurial skillset which found that an entrepreneurial curriculum that generally found significant benefits (
Westhead and Solesvik 2016), especially for practical skillset development oriented courses (
Piperopoulos and Dimov 2014), a number of social scientists reported mixed results of an entrepreneurial curriculum on the development of entrepreneurial intentions (
Krueger and Brazeal 1994;
Souitaris et al. 2007;
Walter et al. 2011), with some studies even reporting possible negative outcomes (
Oosterbeek et al. 2010).
The authors believe that a hackathon approach may be an effective entrepreneurial learning tool for the general student population, which includes students with limited knowledge and interest in entrepreneurship. Students who participated in the hackathon event outlined in this research study did not self-select to participate in an entrepreneurial class. The effectiveness of a hackathon as methodology useful in entrepreneurial learning has potential implications for educators, scholars and policy makers. For educators, a hackathon approach may outperform a number of traditional entrepreneurship pedagogies in the form of lectures, case studies, class discussions or a business plan development over a semester-long class that often constitutes the learning methods used in an entrepreneurial course. This might in part result from the emotional context and the connectivity with the business setting; entrepreneurs are often noted for their passion, as well as their flexibility and reactiveness to changes occurring in the business environment. All of these elements are hard to re-create in a large, or even medium-sized classroom setting. It is important that students associate entrepreneurial activity with creative endeavor and a life challenge, rather than with academic coursework.
A significant increase in the feelings of entrepreneurial self-efficacy that is likely to occur during a course of an entrepreneurial hackathon may also lead to creative “reframing” of one’s-own self-image and career ambitions. According to
Lindh (
2017), reflection is a process in which students assess their dreams in relation to the environment in which these dreams can be realized. This reflective process is an important part of entrepreneurial education which should go beyond merely learning about entrepreneurship, but should also involve learning how to be an entrepreneur, and even beyond that, how to gain “the life skills necessary to live productive lives” (
Neck and Corbett 2018, p. 10) and how to display enterprising characteristics when facing life’s challenges (
Gibb 2011;
Wiklund et al. 2011).
This perspective is consistent with the latest conceptual model of entrepreneurial education by
Kakouris and Liargovas (
2020) that identifies instructional differences between the so-called “about,” “for” and “through” approaches. According to these authors, the “about” mode follows the positivistic paradigm, the “for” mode follows the vocational education and training objectives while the “through” mode is focused on personal transformation through reflection and reassessment of one’s own abilities. The authors of this study think that the hackathon method is likely to combine all these modes by teaching new and important business model concepts to students (the “about” mode), applying these concepts to create practical business model solutions (the “how” mode) and increasing feelings of entrepreneurial self-efficacy (the “through” mode).
From a practical standpoint of delivering business and organizational-related education, a hackathon may also allow students to gain entrepreneurial skills and self-confidence much quicker and using less resources than in a traditional entrepreneurial course. As entrepreneurship is generally a difficult endeavor, riddled with challenges and multiple failures, presenting students with a shorter path to gaining valuable entrepreneurial knowledge and equipping them with self-confidence to embark on developing an idea into a business is a highly advantageous option for educators. Additionally, there are noteworthy implications in using an alternative delivery system, e.g., early, and frequent engagement may result in more students choosing entrepreneurship as a viable career option.
This study has important limitations. Firstly, the sample size of students who participated in the hackathon event was relatively small (N = 71). A larger sample size would have had greater statistical power that could also allow for more in depth analysis of student characteristics possibly influencing the outcomes, like, for example: Family background, gender, class standing, major and minor, prior knowledge and experience related to entrepreneurial activities, just to name a few possibly important variables. In addition to that, a larger sample size would also make it possible to comfortably employ more advanced statistical methods including logistic regression; that method would have been well suited for the analysis of dichotomic dependent variables present in this study.
Logistic regression typically requires large sample sizes. Unfortunately, the sample size in this research study was too small to meet all the statistical requirements for this method as outlined by
Long (
1997), who recommends a sample no smaller than 100 in each case of employing a logistic regression method. Because of this small sample size, the authors opted for a less sophisticated, but still statistically robust ANOVA method. The authors sincerely hope that these results can be tested and refined by other scholars.
Therefore, this study has also important research implications. This evaluation captured pre- and post-workshop outcomes focusing only on limited number of survey questions and dichotomic outcomes for the dependent variables. Future scholars may choose to expand survey questions, as well as expand outcomes for dependent variables turning them, for example, into ordinal variables. As previously mentioned, this approach may be particularly fruitful for large sample sizes, providing greater levels of statistical power and more data that can be analyzed using complex statistical methods.
It would also be valuable to test this model against other types of entrepreneurial learning, e.g., pitch competitions, and/or entrepreneurial internships. While this research was limited to US students, further research is needed to determine whether the effects found in this study are generalizable to other settings. Research is also needed to assess the efficacy of alternative delivery systems. In a world with increasing interconnectedness, there is potential for developing virtual and virtual-reality versions of hackathons and other intensive engagements. Currently there is little research that evaluates physical and virtual delivery systems in hackathon settings. We hope that future research will identify the best delivery systems for this highly promising approach to teaching and inculcating entrepreneurship.