scholarly journals THE EFFECTS OF THE REGULATORY FOCUS OF A MENTAL SIMULATION ON PREFERENCE OF HEDONIC AND UTILITARIAN REALLY NEW PRODUCTS

2020 ◽  
Author(s):  
Dilmurod Khodiev
Keyword(s):  
Empirical Study ◽  
Regulatory Focus ◽  
Purchase Intention ◽  
New Products ◽  
Real Life ◽  
Mental Simulation ◽  
Product Description ◽  
Hedonic Benefits

<p>In this empirical study, we attempt to study the effects of regulatory focused (promotion vs. prevention) mental simulation on evaluation and purchase intention of really new products, when its hedonic benefits are highlighted, and when its utilitarian benefits highlighted. We expose the participants to a regulatory focused mental simulation 2 (promotion vs. prevention) x then present them with a product description of an RNP 2 (hedonic vs. utilitarian) and study the differences in their evaluation of the product as well as their purchase intention. Our findings suggest that brief regulatory focused mental simulations, that can be reproduced in real-life environment, are not effective enough to impact the evaluation of hedonic and utilitarian RNPs.</p>

scholarly journals THE EFFECTS OF THE REGULATORY FOCUS OF A MENTAL SIMULATION ON PREFERENCE OF HEDONIC AND UTILITARIAN REALLY NEW PRODUCTS

2020 ◽  
Author(s):  
Dilmurod Khodiev
Keyword(s):  
Empirical Study ◽  
Regulatory Focus ◽  
Purchase Intention ◽  
New Products ◽  
Real Life ◽  
Mental Simulation ◽  
Product Description ◽  
Hedonic Benefits

<p>In this empirical study, we attempt to study the effects of regulatory focused (promotion vs. prevention) mental simulation on evaluation and purchase intention of really new products, when its hedonic benefits are highlighted, and when its utilitarian benefits highlighted. We expose the participants to a regulatory focused mental simulation 2 (promotion vs. prevention) x then present them with a product description of an RNP 2 (hedonic vs. utilitarian) and study the differences in their evaluation of the product as well as their purchase intention. Our findings suggest that brief regulatory focused mental simulations, that can be reproduced in real-life environment, are not effective enough to impact the evaluation of hedonic and utilitarian RNPs.</p>

Towards Faster Mining of Disjunction-Based Concise Representations of Frequent Patterns

2014 ◽  
Vol 23 (02) ◽  
pp. 1450001
Author(s):  
T. Hamrouni ◽  
S. Ben Yahia ◽  
E. Mephu Nguifo
Keyword(s):  
Empirical Study ◽  
Real Life ◽  
Search Space ◽  
Frequent Patterns ◽  
Memory Consumption ◽  
Efficient Tool ◽  
Condensed Representation ◽  
Benchmark Datasets ◽  
Condensed Representations ◽  
Amount Of Knowledge

In many real-life datasets, the number of extracted frequent patterns was shown to be huge, hampering the effective exploitation of such amount of knowledge by human experts. To overcome this limitation, exact condensed representations were introduced in order to offer a small-sized set of elements from which the faithful retrieval of all frequent patterns is possible. In this paper, we introduce a new exact condensed representation only based on particular elements from the disjunctive search space. In this space, a pattern is characterized by its disjunctive support, i.e., the frequency of complementary occurrences – instead of the ubiquitous co-occurrence link – of its items. For several benchmark datasets, this representation has been shown interesting in compactness terms compared to the pioneering approaches of the literature. In this respect, we mainly focus here on proposing an efficient tool for mining this representation. For this purpose, we introduce an algorithm, called DSSRM, dedicated to this task. We also propose several techniques to optimize its mining time as well as its memory consumption. The carried out empirical study on benchmark datasets shows that DSSRM is faster by several orders of magnitude than the MEP algorithm.

Fueling Spin-offs: Case Studies of University-based Technology Start-up Funding

2021 ◽  
Vol 22 (1) ◽  
pp. 29-40
Author(s):  
Julie Lenzer ◽  
Piotr Kulczakowicz
Keyword(s):  
Product Development ◽  
New Technologies ◽  
Early Stage ◽  
New Products ◽  
Academic Research ◽  
Real Life ◽  
Private Investment ◽  
Building Relationships ◽  
Start Up ◽  
Single Path

The new technologies born from academic research can be very promising, yet they are often very early stage. University spin-off companies are uniquely positioned to tackle the risks associated with new technologies emerging from academia by developing proofs of concept, functioning prototypes, and new products. While these enterprises start from a solid research and development foundation, they face their own unique set of challenges—they are strongly anchored in the scientific and technological expertise that is typically backed by intellectual property but often lack the business experience needed to develop and market products demanded by customers. University spin-offs have access to substantial non-dilutive funding that can be utilized for advancing product development. While the relentless pursuit of these funds builds a company's credibility and improves its position for negotiating future private investment, university spin-offs would greatly benefit from an early focus on complementing their technology teams with their business teams. These new enterprises should consider pursuing private investment in parallel to utilizing sources of non-dilutive funding. Timing of private investment is extremely important to maximize the value of the opportunity, and, therefore, building relationships with investors early on and getting ready for executing an investment round can greatly increase odds for success. While there is no single path to formulate, pursue, and adapt successful financing strategies, lessons can be learned from real-life cases of university spin-offs that continue their journeys towards ultimate success.

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