Seeing What Others Miss: A Study of Women Entrepreneurs in High-Growth Startups

A pressing question in entrepreneurial research is where opportunities come from. Prior research indicates that some opportunities stem from known parameters and outcomes; some are discovered through engagement with unknown but knowable factors; and others are unknowable until brought into being through a creative process. This paper explores the second and more prevailing view in entrepreneurial research – that individuals discover business opportunity – and examines how high-growth entrepreneurs perceive opportunity through engagement with the world. Survey results, based on responses from 165 women entrepreneurs in high-growth startups, indicate that individuals with a strong discover mindset act and think in ways that support opportunity perception. Coupled with a belief in her abilities, the entrepreneur is more likely to move from opportunity perception to new venture creation. Results from semi-structured interviews with women from the same population elucidate the survey findings and yield implications for entrepreneurial theory and practice

Keeping Humans in the Loop: Pooling Knowledge through Artificial Swarm Intelligence to Improve Business Decision Making

This article explores how a collaboration technology called Artificial Swarm Intelligence (ASI) addresses the limitations associated with group decision making, amplifies the intelligence of human groups, and facilitates better business decisions. It demonstrates of how ASI has been used by businesses to harness the diverse perspectives that individual participants bring to groups and to facilitate convergence upon decisions. It advances the understanding of how artificial intelligence (AI) can be used to enhance, rather than replace, teams as they collaborate to make business decisions

Cybercrime: Issues and challenges in the United States

Chief Judge B. Lynn Winmill, David L. Metcalf and Michael E. Band provide a succinct introduction to the use of computers and the internet, illustrating some of the problems that have accompanied the internet, before providing an outline of the response by successive administrations. The relevant legislation is set out, with a discussion of the issues relating to electronic evidence, hearsay, authentication, and search and seizure in the United States

Distinguishing entrepreneurial approaches to opportunity perception

Purpose – Whether opportunities are discovered or created by entrepreneurs is a foundational question in entrepreneurship research. The purpose of this paper is to examine women entrepreneurs in high-growth new ventures and explore the cognitive resources that distinguish between three approaches to opportunity perception: opportunity discovery; opportunity creation; and a combined discover-create (ambidextrous) approach. Design/methodology/approach – Using questionnaire responses from 165 women entrepreneurs in highgrowth new ventures, K-means clustering was used to determine three approaches to opportunity perception. The cognitive resources associated with each approach were then identified using multiple discriminant analysis. Finally, multivariate analysis of variance was conducted to examine the relationship between opportunity perception and growth expectations. Findings – These results demonstrate different approaches to opportunity perception among entrepreneurs in high-growth new ventures, the cognitive resources that reinforce each approach, and the expected new venture growth outcomes. Research limitations/implications – The findings offer insight on the cognitive origins of opportunity perception by empirically identifying distinct approaches to opportunity perception and the cognitive resources that underlie each. The study relies on a unique sample of entrepreneurs to understand complex cognitive phenomenon. Practical implications – Understanding the effects that cognitive factors have on opportunity perception provides direction for current and aspiring entrepreneurs. The findings and instrument may be used for professional development and to inform educational strategies. Originality/value – The findings offer important contributions to entrepreneurial theory and practice by addressing repeated calls for research that examines the cognitive antecedents enabling opportunity formation (discovery, creation or both). This manuscript empirically does so, while opening up possibilities for future research

Amplifying the Collective Intelligence of Teams with Swarm AI

Group decision-making is strengthened by the varied knowledge and perspectives that each member brings, yet teams often fail to capitalize on their diversity. This paper describes how Swarm AI, a novel collaborative intelligence technology modeled on the decision-making process of honey bee swarms, enables networked human groups to more effectively leverage their combined insights. Through an empirical study conducted on 60 small teams, each of 3 to 6 members, we demonstrate the capacity of Swarm AI to significantly amplify the collective intelligence of human groups. A well-known testing instrument—the Reading the Mind in the Eyes (RME) test —was used to measure the social intelligence of each team—a key indicator of collective intelligence. The study compares the RME performance of (i) individuals, (ii) teams working by majority vote, and (iii) teams using an interactive software platform that employs Swarm AI technology

The Impact of Peer Mentoring on Marketing Content Mastery

This article describes and assesses a course design that uses peer mentors to facilitate a collaborative, hands-on learning experience in an introductory marketing course. Results demonstrate that peer mentoring increased content mastery and had a positive effect on students’ perceptions of the learning experience. Peer marketing mentors, along with the faculty team, achieved success in providing a demanding and engaging learning environment that meets the needs of learners and equips them with content knowledge required of career-ready professionals. A step-by-step guide is provided to enable others to develop a similar experience for students in their institutions

The Impact of Consumer Product Package Quality on Consumption Satisfaction, Brand Perceptions, Consumer Investment and Behavior

Consumer product packaging can serve a critical role in the consumption experience, but marketing and packaging science researchers focus primarily on pre and post-consumption aspects of consumer product containers. Exhaustive research into packing ergonomics, logistics, safety, sustainability and promotional features are common across marketing and packaging disciplines, but research isolating the role of a packaging in consumption satisfaction and enduring consumer-brand relationships is rare. In addition to an undervalued role in product satisfaction, functional isolation between marketing and packaging scientists limits packaging’s overall impact on the bottom line. This research examines the role of bottle quality in bottled-water consumption satisfaction and its subsequent impact on brand attribute perceptions, consumer-brand relationship investment and behavioral intentions. We show that thicker water bottles are perceived to be of higher quality than thinner bottles, and that these perceptual differences impact how customers view a brand on aspects such as reliability and value offered by the brand’s products and ultimately intentions to re-purchase the brand’s products. We use qualitative, experimental and structural modeling analysis techniques to establish a fundamental role of packaging quality in consumer product satisfaction. We show that packaging characteristics are an indivisible component of the product and important to evaluation of the overall consumption experience. We finally conclude that packaging quality has a critical role to play in building profitable consumer-brand relationships, which should redefine the packaging cost-benefit equation to include the value of consumer loyalty as a balance to non-consumption packaging considerations

Considerations and best practices in animal science 16S ribosomal RNA gene sequencing microbiome studies

Microbiome studies in animal science using 16S rRNA gene sequencing have become increasingly common in recent years as sequencing costs continue to fall and bioinformatic tools become more powerful and user-friendly. The combination of molecular biology, microbiology, microbial ecology, computer science, and bioinformatics—in addition to the traditional considerations when conducting an animal science study—makes microbiome studies sometimes intimidating due to the intersection of different fields. The objective of this review is to serve as a jumping-off point for those animal scientists less familiar with 16S rRNA gene sequencing and analyses and to bring up common issues and concerns that arise when planning an animal microbiome study from design through analysis. This review includes an overview of 16S rRNA gene sequencing, its advantages, and its limitations; experimental design considerations such as study design, sample size, sample pooling, and sample locations; wet lab considerations such as field handing, microbial cell lysis, low biomass samples, library preparation, and sequencing controls; and computational considerations such as identification of contamination, accounting for uneven sequencing depth, constructing diversity metrics, assigning taxonomy, differential abundance testing, and, finally, data availability. In addition to general considerations, we highlight some special considerations by species and sample type

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy