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1 – 3 of 3Julian N. Marewski, Konstantinos V. Katsikopoulos and Simone Guercini
Are there smart ways to find heuristics? What are the common principles behind heuristics? We propose an integrative definition of heuristics, based on insights that apply to all…
Abstract
Purpose
Are there smart ways to find heuristics? What are the common principles behind heuristics? We propose an integrative definition of heuristics, based on insights that apply to all heuristics, and put forward meta-heuristics for discovering heuristics.
Design/methodology/approach
We employ Herbert Simon’s metaphor that human behavior is shaped by the scissors of the mind and its environment. We present heuristics from different domains and multiple sources, including scholarly literature, practitioner-reports and ancient texts.
Findings
Heuristics are simple, actionable principles for behavior that can take different forms, including that of computational algorithms and qualitative rules-of-thumb, cast into proverbs or folk-wisdom. We introduce heuristics for tasks ranging from management to writing and warfare. We report 13 meta-heuristics for discovering new heuristics and identify four principles behind them and all other heuristics: Those principles concern the (1) plurality, (2) correspondence, (3) connectedness of heuristics and environments and (4) the interdisciplinary nature of the scissors’ blades with respect to research fields and methodology.
Originality/value
We take a fresh look at Simon’s scissors-metaphor and employ it to derive an integrative perspective that includes a study of meta-heuristics.
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Keywords
Christian Felzensztein and Afsaneh Bagheri
Our understanding of the strategies that lead to the success of start-ups when they scale-up is limited when it occurs at the regional periphery. The main purpose of this study is…
Abstract
Purpose
Our understanding of the strategies that lead to the success of start-ups when they scale-up is limited when it occurs at the regional periphery. The main purpose of this study is to explore the specific strategies that start-ups employ to scale-up, specifically in contexts with high resource constraints at the regional periphery.
Design/methodology/approach
Analyzing the data from personal in-depth interviews with engineering and science start-up founders in peripheral regions of upstate New York USA bordering the Canadian Ontario, we explored a combination of internal and external strategies that start-ups employed to scale-up.
Findings
The study found that start-ups prioritize building internal scaling capacity in their human capital, organizational structure, scalable business model, finance and business ownership. To foster the scaling process further, start-ups develop new effective external strategies that target the business environment.
Practical implications
Policymakers and regional governments can use our research to develop more effective industrial policies for supporting start-ups’ growth and subsiding strategic industry clusters for rebooting new competition policy, which is a current debate in many industrialized economies including the US. This targeted regional industrial policy is specially needed when scaling-up at the regional periphery.
Social implications
Our study is specially need it when scaling-up at the regional periphery and with limited resources.
Originality/value
This study enriches our understanding of the growth of start-ups and small ventures by providing context-based insights into how firms build the capacity to scale-up in highly challenging and uncertain business environments in a peripheral bordering region between the USA and Canada. It also offers useful managerial and policy implications.
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Tatiana Somià and Mariangela Vecchiarini
Artificial intelligence (AI) technologies have led to significant transformations across industries and society, including the field of education. The integration of AI in…
Abstract
Purpose
Artificial intelligence (AI) technologies have led to significant transformations across industries and society, including the field of education. The integration of AI in educational settings has the potential to improve students' learning experience and support their individual competencies when paired with non-AI methods. Despite the growing importance of AI in modern education, there remains a noticeable research gap regarding its use in entrepreneurship education and the effects of Chatbots on students' entrepreneurial competencies. To address this gap, an exploratory study was conducted on undergraduate students who were tasked with using ChatGPT to improve their business model canvas.
Design/methodology/approach
The chosen methodology aligned with the research purpose, aiming to explore the relationship between Generative AI and competencies. Due to the novel nature of the research problem, an exploratory study was conducted using a mixed methods approach. A survey with open- and closed-ended questions was designed, and statistical and text analyses were performed to interpret data and test identified propositions.
Findings
The findings of this study indicate that ChatGPT can enhance the types of students' entrepreneurial competencies considered in this study: spotting opportunities, creativity, vision, valuing ideas and ethical and sustainable thinking. The results show that ChatGPT can be particularly helpful to improve the ability of students of valuing ideas.
Originality/value
Overall, this study highlights the potential of adopting ChatGPT in experiential learning methodologies for enhancing students' entrepreneurial competencies and improving their learning outcomes.
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