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Michael Busler

Researcher at Richard Stockton College of New Jersey

Publications -  54
Citations -  2186

Michael Busler is an academic researcher from Richard Stockton College of New Jersey. The author has contributed to research in topics: Entrepreneurship & Incubator. The author has an hindex of 15, co-authored 53 publications receiving 1932 citations. Previous affiliations of Michael Busler include Rowan University & Cabrini College.

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The Match-Up Hypothesis: Physical Attractiveness, Expertise, and the Role of Fit on Brand Attitude, Purchase Intent and Brand Beliefs

TL;DR: In this paper, the role of attractiveness and expertise in the match-up hypothesis was examined in a 2 × 2 experiment, where the athlete was most effective as an endorser for the energy bar in increasing brand attitude but not purchase intent.
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Matching products with endorsers: attractiveness versus expertise

TL;DR: In this paper, the authors present two studies which collectively suggest that, while attractive endorsers do positively affect attitude toward the endorsed brand, expertise is a more important dimension for driving the fit between an endorser and a brand.
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Business Incubators: Findings from a Worldwide Survey, and Guidance for the GCC States

TL;DR: In this paper, an Internet-based survey was conducted with a sample of business incubators worldwide to make recommendations about how to maximize the success of incubators, including matching services offered to the needs of clients and involving a range of community stakeholders in the development.
Journal Article

Adoption and usage of ICT in developing countries: Case of Ugandan firms

TL;DR: In this article, the extent of adoption and usage of ICT on one hundred and ten firms in Uganda; and established benchmarks that can be utilized in future research and comparison between firms.
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Typology Analysis of Performance Models of Small and Medium-Size Enterprises (SMEs)

TL;DR: The most relevant firm dynamic theories, i.e. SME's performance models, including Stochastic Theories, Learning Model Theories and Hazard Modeling Theories are reviewed and the strengths and weaknesses of each of these models are exposed.