Relationships Between Founder Background, Issue Severity, and Innovation in Social Entrepreneurship Initiatives Steven Dell’Amore; Mallory Rothstein; Melissa.

Slides:



Advertisements
Similar presentations
Immigrant Adolescents Cultural Orientation and its Relationship to Academic and Social Adjustment Melissa Kull New York University Many thanks to Sita.
Advertisements

Welcome to a presentation about
Myers’ PSYCHOLOGY (7th Ed)
What Midwest Study Data Tell Us About Youth as Young Adults April 7, 2010 Mark E. Courtney Ballmer Chair for Child Wellbeing School of Social Work University.
13-2 Defining Leadership “The ability to influence through communication the activities of others, individually or as a group, toward the accomplishment.
Chapter 6: Correlational Research Examine whether variables are related to one another (whether they vary together). Correlation coefficient: statistic.
Optimism in Women Reporting Relationship Abuse Histories Sarah L. Hastings & Trisha Nash Department of Psychology, Radford University, Radford, Virginia.
Method IntroductionResults Discussion Effects of Plans and Workloads on Academic Performance Mark C. Schroeder University of Nebraska – Lincoln College.
Product Perception By Michelle Olguin & Karen Dambroski Undergraduate Students Fort Lewis College Durango, Colorado.
1 Transitions to Adulthood: Comparing TANF and Foster care Youth Pamela C. Ovwigho, PhD Valerie Head, MPP Catherine E. Born, PhD Paper presented at the.
Abstract Rankin and Reason (2005; Reason & Rankin 2006) have suggested than women and students of color experience more harassment on college campuses.
Computer in Education Jiaying Zhao CSE 610 Western Oregon University.
Multiple Linear Regression A method for analyzing the effects of several predictor variables concurrently. - Simultaneously - Stepwise Minimizing the squared.
RESEARCH QUESTIONS, AIMS AND OBJECTIVES
The Gender Gap in Educational Attainment: Variation by Age, Race, Ethnicity, and Nativity in the United States Sarah R. Crissey, U.S. Census Bureau Nicole.
Women in Higher Education. Background ASSET was founded by Chris and Heather Lukolyo in Chris was born, raised and educated in Uganda. He has worked.
1 Psych 5500/6500 Confounding Variables Fall, 2008.
Following lives from birth and through the adult years Examining the truth behind the myth of the 'the Monstrous Army on the March' Dylan.
1 Social Network Analysis Feedback Assignment 1. TU/e – Social Network Analsysis, 0ZM05/0EM15/0A150 2 Feedback assignment 1 What makes it more likely.
RESEARCH PROPOSAL: THEORY, RESEARCH QUESTION & HYPOTHESIS
American Pride and Social Demographics J. Milburn, L. Swartz, M. Tottil, J. Palacio, A. Qiran, V. Sriqui, J. Dorsey, J. Kim University of Maryland, College.
Moderation & Mediation
February 28 th, 2012 Research Brief: Leveraging Marketing Research to Help Solve Management’s Decision Problem By: David Schwartz MSBA, MBA, MSc.
Citation Zajac, I. T., Duncan, A., Flight, I., Wilson, C., Wittert, G., & Turnbull, D (2015). The Relationship of Self-Rated Health and Health Priorities.
HS499 Bachelor’s Capstone Week 6 Seminar Research Analysis on Community Health.
Report Exemplar. Step 1: Purpose State the purpose of your investigation. Pose an appropriate comparison investigative question and do not forget to include.
Leadership Pulse™ Energy and Age Dr. Theresa M. Welbourne Preliminary Report April, 2006 the measure of your success.
Chapter 1: Research Methods
University of Missouri Department of Human Development and Family Science Better with Age? Patterns of Marital Positivity and Negativity Across 20 Years.
Sarah Hadyniak and Kathy Fein I cannot live without books. ~Thomas Jefferson.
Crossing Methodological Borders to Develop and Implement an Approach for Determining the Value of Energy Efficiency R&D Programs Presented at the American.
A Framework of Mathematics Inductive Reasoning Reporter: Lee Chun-Yi Advisor: Chen Ming-Puu Christou, C., & Papageorgiou, E. (2007). A framework of mathematics.
HOW TO WRITE RESEARCH PROPOSAL BY DR. NIK MAHERAN NIK MUHAMMAD.
THEORETICAL FRAMEWORK and Hypothesis Development
By: Deanna Duermit, Mikayla Mowzoon, Jenna Tioseco
Changing Economic Vulnerability of Thai elderly in 2002 & 2007 (Target Journal: IPSR Journal) ANLAYA SMUSENEETO.
Introduction Introduction Alcohol Abuse Characteristics Results and Conclusions Results and Conclusions Analyses comparing primary substance of abuse indicated.
Against the Grain: Adolescent Help-Seeking as a Path to Adult Functional Independence Introduction David E. Szwedo David E. Szwedo 1,2,
Gender and Year of Study as a Predictor of Life Pressures Research Project Presentation March 30, 2000 Jennifer Drover Laura Peddle.
An Analysis of Three States Alignment Between Language Arts and Math Standards and Alternate Assessments Claudia Flowers Diane Browder* Lynn Ahlgrim-Delzell.
Gender differences in symptom reporting: the influence of psychological traits. Laura Goodwin Dr Stephen Fairclough Liverpool John Moores University BACKGROUND.
A Comparison of General v. Specific Measures of Achievement Goal Orientation Lisa Baranik, Kenneth Barron, Sara Finney, and Donna Sundre Motivation Research.
Edward F. Garrido, Ph.D. and Heather N. Taussig, Ph.D. University of Colorado Denver School of Medicine Kempe Center for the Prevention and Treatment of.
Question paper 1997.
TCF and FCF-Online How can help you generate MI you need to satisfy FSA requirementswww.fcf-online.com.
Survey Report 1 February 2009 Wave. Background Brands’ income comes from the customers-so, brands must provide what they think is of value to the customers.
1 The Effect of Primary Health Care Orientation on Chronic Illness Care Management Julie Schmittdiel, Ph.D., Stephen M. Shortell, Ph.D., Thomas Rundall,
Attitudes of qualified vs student mental health nurses towards an individual diagnosed with schizophrenia Rory Kavanagh.
Personally Important Posttraumatic Growth as a Predictor of Self-Esteem in Adolescents Leah McDiarmid, Kanako Taku Ph.D., & Aundreah Walenski Presented.
Variables It is very important in research to see variables, define them, and control or measure them.
IMPORTANCE OF STATISTICS MR.CHITHRAVEL.V ASST.PROFESSOR ACN.
© Farhan Mir 2012 IMS Current Issues in Management M Phil Managing Diversity 2 Some Further Research Findings Course Lecturer: Farhan Mir.
The Role of Physical Attractiveness in Adolescent Romantic Relationships. Rebecca Furr, M.A. & Deborah Welsh, Ph.D. University of Tennessee.
Citizen of Edmonton Findings: Edmonton Public School Board Preference Measurement April 14, 2008 Public Presentation EPSB Board Meeting.
Introduction Results and Conclusions Comparisons of psychiatric hospitalization rates in the 12 months prior to and after baseline assessment revealed.
Producing Data: Experiments BPS - 5th Ed. Chapter 9 1.
What is Research?. Intro.  Research- “Any honest attempt to study a problem systematically or to add to man’s knowledge of a problem may be regarded.
Quality Evaluations in Education Interventions 1 March 2016 Dr Fatima Adam Zenex Foundation.
Template provided by: “posters4research.com”   Ideals: mental constructs that represent an idea of traits we are attracted to in potential partners (Fletcher.
Enlisting your partner versus dealing with it yourself: A comparison of married couples in the United States and India Ashley K. Randall 1, Shannon A.
The Scientific Method 1.Develop the problem 2.Develop a theoretical solution to the problem 3.Formulate the hypothesis or question 4.Formulate the research.
Statistics & Evidence-Based Practice
Assessing LEND Trainees' Knowledge of Autism Spectrum Disorder (ASD)
SELF-DOUBT EFFECTS DEPEND ON BELIEFS ABOUT ABILITY
AP Statistics Chapter 3 Part 3
Regeneration - Enquiry Question 2
Rayat Shikshan Sanstha’s S.M. Joshi College Hadapsar, Pune 28
Figures adapted from the TIEDI Analytical Report #2: Labour outcomes by immigrant class and gender Report available at:
Educational Testing Service
Levine et al continued.
Presentation transcript:

Relationships Between Founder Background, Issue Severity, and Innovation in Social Entrepreneurship Initiatives Steven Dell’Amore; Mallory Rothstein; Melissa Cuesta; Katie Stockhammer-DeSimone; Manuel London, Ph.D. Stony Brook University College of Business

Goals 1)Examine the types of social entrepreneurship initiatives that are exemplars deserving of awards and additional resources. What it takes for an initiative to receive national and international recognition as a model—types of problems they address, how long it takes to be recognized, and prior experience of the entrepreneurs.

Goals 2)Study the extent to which the past experience of the social entrepreneur and the severity and complexity of the problem affect the solution and the degree of improvements achieved. General hypothesis: More experienced founders (those that had been entrepreneurs) and more severe problems will produce more innovative methods and generate more social improvement (Edmondson, 2012; Lavie, Stettner & Tushman, 2010; Lee & Nelson, 2005; March, 1991).

Sample 121 social entrepreneurship initiatives highlighted on five websites during 2012: Skoll Foundation (n=40) Ashoka (n=33) Fast Company (n=27) BBC World Challenge (n=10) Schwab Foundation (n=11)

Rating Process Four trained raters judged a subsample of the initiatives. They discussed their ratings and resolved any disagreements. Then at least two coders rated each of the remaining initiatives. Different pairs of coders were randomly assigned to the initiatives. The pairs reviewed their categorizations and ratings with each other and resolved any disagreements.

Variables Age of the initiative Type of problem Past experience of founder Gender of founder Severity and Complexity of the problem Use of new methods and technologies Favorability of outcomes

Descriptive Statistics Experience: 41% (n=49) of the founders had past experience either as an entrepreneur or in a business prior to starting their social entrepreneurship initiative. Gender: 38% (n=39) of the founders were women. (Six initiatives did not have a single principal founder to attribute past experience or gender.) Initiative age: The initiatives had a mean age of 17 years, ranging from less than 5 years (4 of the initiatives) to 25 years or more (13 of the initiatives).

Types of Issues Represented 22% (n=25 initiatives) addressed four or more categories of social issues. Most frequently addressed issues: Social injustice (59%) Poverty (57%) Disease (18%) Environment (17%) Violence (12%) Conflict in a region (12%) Prejudice (7%)

Problem Severity For each type of problem that applied to an initiative, coders rated the severity of the problem (1=lowest to 3=highest). The severity ratings were then added to derive an overall severity index (ranging from 1 to 27) across nine categories of possible problems for each initiative. 71% of the organizations had ratings of 5 or more on this index; 19% were scored 10.5 or higher.

Complexity & Scalability Ratings on 5-point scales with 1=low, 1.5, 2, 2.5, 3=high. 70% of the organizations were considered to have complex problems, with ratings ranging from 2.5 or 3. By scalability, we rated how easily this solution could be replicated. 68% were rated 3 on scalability.

Use of New Methods & Technologies 60% applied new methods & technologies. 39% adapted existing methods. Therefore, generally, the initiatives in the sample dealt with multiple problems that could be deemed severe and complex and required novel solutions.

Outcome Favorability Rated on a scale ranging from 1(low) – 3(high) on each of four areas: economic, health, education, overall quality of life. These ratings were summed to produce an overall impact score ranging from (Mean=8.5, SD=2.7)

Intercorrelations Older initiatives addressed more severe problems (r=.27, p<.01) and showed more favorable outcomes (r=.16, p<.05). More severe problems showed more positive outcomes (increased improvement) (r=.33, p<.01). Initiatives that used new methods and technologies had more favorable outcomes (r=.15, p<.05).

Gender Women were founders of older enterprises (r=.16, p<.05) and produced greater impact (r=.19, p<.05). This may be because women were more likely to start social initiatives, and they produced greater impact because they had been engaged in the initiative longer. Future research should explore the effects of the social entrepreneur’s gender in relation to past experience, innovation, and impact.

Total SampleMale FoundersFemale Founders b Intercept Experience of Founder Age of Initiative.00 Problem Severity Project Complexity.32**.28**.32 R2R2.14***.14*.10 N Predicting Applying New Methods and Technologies

Predicting Favorable Outcomes Total SampleMale FoundersFemale Founders b Intercept 6.12*** 5.62*** 6.36*** Experience of Founder a Age of Initiative Problem Severity.22*.19*.29* Project Complexity Applying New Methods & Technologies 1.24* ** R2R2.15**.12.48** n

Conclusions Overall, more severe problems did not produce more novel methods. Severe problems that used more novel methods produced more favorable outcomes. Applying new methods and technologies is complex, but it is the innovation, not the complexity, that produces favorable outcomes.

Conclusions Women may be more sensitive to severity of the problem and develop innovations in methods and technologies to deal with problems and produce a high impact. Men may be less likely to innovate for severe problems, turning to adaptations of tried and true methods, but, as suggested by the prior analyses, are likely to generate new methods and technologies to deal with complex problems.

Unexpected Finding Age of initiatives (M=17 years): They were not start-ups. To be recognized, they needed to be established and demonstrated positive outcomes, not necessarily new methods and technologies. Therefore, to receive funds and be recognized for achievement takes time. Other foundations may be more likely to support new and novel ideas, such as social enterprise academies

Conclusions The foundations recognized initiatives that deal with a wide range of problems, and these problems tend to be difficult. Many of the initiatives used novel methods. This was one reason they were recognized, no doubt. But other initiatives in the sample used more tried and true methods to deal with severe problems, and these initiatives were recognized as well. Not surprisingly, initiatives whose problems were more severe, and that were older, had the most impact.

Conclusions Women have been involved as leaders of social initiatives for many years, and they were likely to be recognized by the foundations. Half the sample had prior business or entrepreneurship experience, but half did not. This suggests that individuals who do not have much or any prior experience should not hesitate to be leaders solving social problems. Training programs that exist now to help these individuals may give them an extra boost so that their endeavors will show positive impact sooner and not take as long as many of those in our sample to be recognized for their achievements.

Conclusions The foundations preferred to recognize projects that were more comprehensive in their approach and tackled difficult issues. Endeavors that have shorter time frames to success perhaps, because they have more narrow objectives, may have been less likely to be recognized.

Conclusions Males tended to develop complex, novel methods and technologies somewhat more than females. However, for females, when the problem was severe and they invented new methods and technologies, they produced more positive outcomes, whereas severity and use of new methods did not significantly predict outcomes for male founders.

Limitations Sample Cross-sectional ratings (multiple raters and integration method was used to avoid response biases) Did not study actual processes as they developed over time Did not contact initiatives directly

Future Research Replicate current study with a larger sample and in-depth data from the founders and stakeholders and objective indicators of success. Compare exemplars, such as those in this study, to more mundane yet still valuable initiatives (e.g., food pantries or health clinics—initiatives that are not innovative, per se, but still required resources) to show different results or may show that impact can be achieved in different ways.

Future Research Understand differences in how men and women approach problems by inventing new methods and technologies, as opposed to relying on new applications of more tried and true methods, should be investigated.

Future Research Study team processes. Organizational theory would suggest that the more the founding team used exploratory processes to brainstorm and experiment with various possible applications, the more innovative the resulting method would be. Study how much the initiative evolved from the early conceptualization of the problem(s) and solutions to the current situation. Identify the partner organizations that were early forms of support. We would want to know the extent to which the social entrepreneur faced opposition or naysayers, had to advocate on behalf of the beneficiaries, and/or garnered others’ support to build the organization.

Open Questions How do social entrepreneurship teams arrive at their solution, or set of solutions? How are the methods established and how do they evolve? Were they novel to begin with, and if so, what process did the founders use to generate their ideas?

The source foundations recognize more established initiatives that vary in focus, severity, and project complexity. Foundations may wish to identify more recent start-ups, those that show promise but have not yet produced results. Understanding differences between how male and female founders approach problems and what drives identifying new methods and technologies is another area for worthwhile investigation.

Relationships Between Founder Background, Issue Severity, and Innovation in Social Entrepreneurship Initiatives Questions or Comments? Steven Dell’Amore; Mallory Rothstein; Melissa Cuesta; Katie Stockhammer-DeSimone; Manuel London, Ph.D. Stony Brook University College of Business