1,259 research outputs found
New Product Development in Small Food Enterprises
Purpose – The purpose of this paper is to demonstrate how small businesses may deploy a formalised Stage-Gate approach to new product development (NPD). The original Stage-Gate framework was modified to better suit a small business B2B environment in the seafood industry, and was subsequently applied to a small vertically-integrated crab catching, processing and marketing business.Design/methodology/approach – This paper uses a case study methodology. The method used at each stage of the Stage-Gate framework, as well as the time and location details, the people and skills involved, and the evaluative criteria applied for NPD are outlined and discussed; and subsequently synthesized in a modified framework.Findings – The modified Stage-Gate approach was shown to be an effective NPD method, allowing for 92 initial product concepts to be narrowed down to three commercially viable and acceptable products, over a period of less than 11 months. Cost and time were minimised by the four-day ideation process. Furthermore, repeated evaluation of the sensory and market acceptability resulted in strengthened confidence in market attractiveness, while ensuring that appearance, portion size and packaging were based on expert market opinion. Moreover, this approach was successfully completed at less than 25% of the cost of the previous unsuccessful NPD undertaken by the firm.Originality/value – This study advances our understanding of how small businesses may use a formal NPD process to increase the success rate of new products, through development of a modified Stage-Gate approach
Dynamic Capability Building through partnering: An Australian Mobile handset case Study
Dynamic capabilities are increasingly seen as an organisational characteristic for innovation and are regarded as a source of competitive advantage. In a quest for sustainability, service organisations are partnering with their stakeholders, and subsequently are aptly bringing innovation in services to market. Most of existing empirical research regarding dynamic capabilities seeks to define and identify specific dynamic capabilities, as well as their organizational antecedents or effects. Yet, the extent to which the antecedents of success in particular dynamic capabilities, contribute to innovation in service organisations remains less researched. This study advances the understanding of such dynamic capability building process through effective collaboration, and highlights the detailed mechanisms and processes of capability building within a service value network framework to deliver innovation in services. Deploying a case study methodology, transcribing interviews with managers and staff from an Australian telco and its partnering organisations, results show that collaboration, collaborative organisational learning, collaborative innovative capacity, entrepreneurial alertness and collaborative agility are all core to fostering innovation in services. Practical implications of this research are significant, and that the impacts of collaboration and the dynamic capabilities mentioned above are discussed in the context of a mobile handset case study
Revitalizing a Declining Residential Area -Samanbahçe- in the Walled City of Nicosia
Traditional historic urban quarters, which are special places
not only due to the cultural heritage that they house but also
due to their urban pattern, are in danger of losing their traditional
character, if relevant measures fail to exist to ensure
the continuity of this character.
Just like the island of Cyprus as a whole, as being ruled by
many different conquerors, the Walled City of Nicosia, which
is the core of the capital of the island, has undergone substantial
changes throughout history, to fit the requirements
of different cultures. As a spatial reflection of different socioeconomic
life or attitude of the rulers - Lusignan {1192-
1489); Venetian {1489-1571); Ottoman {1571-1878); British
{1878-1960) -the urban pattern as well as the buildings and
their functions have been modified through time. Consequently,
the traditional historic areas became places of
intermingling cultures.Through ages, the Walled City of Nicosia, with its organic
urban tissue, has always been a pole of attraction in terms
of administrative, economic and cultural activities. However,
due to the clashes between the two communities living
on the Island {the Greeks and the Turks), "a green line"
divided the Walled City of Nicosia into two parts in 1963: the
Turkish sector in the North and the Greek sector in the
South. Until then, the two parts have been developing independently.
After 1970s, due to the political and socio-economic
changes on the Island, and thus, accordingly the changes in
the population and its physical distribution and mobility, the
North part of the Walled City has lost its attractiveness.
Since then, it is in a process of decay and deterioration, and
its functionally distinctive areas are severely threatened by
physical, functional, locational and image obsolescence at
varying degrees, as many other historic quarters elsewhere
in the world.Considering the revitalization of the Walled G)ty in a longterm
perspective, these differences should ge taken into
account for successful decisions for its· sustainability.
Samanbahce, a unique traditional residential area at the
edge of the Kyrenia Avenue in the Walled City of Nicosia, is a unique place not only due to its distinctive physical, urban
and architectural characteristics, but also as being the first
mass-housing area on the Island developed in 1930's by the
British.
Although being located next to the most lively area of the
Walled City, today, Samanbahce area is suffering from physical
and social decay.
The aim of this paper is to propose conservation and revitalization
measures to address the deterioration and obsolescence
process of Samanbahce area, based on a thorough
study at both architectural and urban levels. The method of
the analysis will include a field and a questionnaire survey,
which will convey to an understanding of the environmental
and socio-cultural qualities
Combining exclusive semi-leptonic and hadronic B decays to measure |V_ub|
The Cabibbo-Kobayashi-Maskawa matrix element |V_ub| can be extracted from the
rate for the semi-leptonic decay B -> pi + l + antineutrino_l, with little
theoretical uncertainty, provided the hadronic form factor for the B -> pi
transition can be measured from some other B decay. In here, we suggest using
the decay B -> pi J\psi. This is a color suppressed decay, and it cannot be
properly described within the usual factorization approximation; we use instead
a simple and very general phenomenological model for the b d J\psi vertex. In
order to relate the hadronic form factors in the B -> pi J\psi and B -> pi + l
+ antineutrino_l decays, we use form factor relations that hold for
heavy-to-light transitions at large recoil.Comment: Latex, 7 pages, no figure
Fatigue-induced changes of impedance and performance in target tracking
Kinematic variability is caused, in part, by force fluctuations. It has been shown empirically and numerically that the effects of force fluctuations on kinematics can be suppressed by increasing joint impedance. Given that force variability increases with muscular fatigue, we hypothesized that joint impedance would increase with fatigue to retain a prescribed accuracy level. To test this hypothesis, subjects tracked a target by elbow flexion and extension both with fatigued and unfatigued elbow flexor and extensor muscles. Joint impedance was estimated from controlled perturbations to the elbow. Contrary to the hypothesis, elbow impedance decreased, whereas performance, expressed as the time-on-target, was unaffected by fatigue. Further analysis of the data revealed that subjects changed their control strategy with increasing fatigue. Although their overall kinematic variability increased, task performance was retained by staying closer to the center of the target when fatigued. In conclusion, the present study reveals a limitation of impedance modulation in the control of movement variability
GTM: A principled alternative to the self-organizing map
The Self-Organizing Map (SOM) algorithm has been extensively studied and has been applied with considerable success to a wide variety of problems. However, the algorithm is derived from heuristic ideas and this leads to a number of significant limitations. In this paper, we consider the problem of modelling the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. We introduce a novel form of latent variable model, which we call the GTM algorithm (for Generative Topographic Mapping), which allows general non-linear transformations from latent space to data space, and which is trained using the EM (expectation-maximization) algorithm. Our approach overcomes the limitations of the SOM, while introducing no significant disadvantages. We demonstrate the performance of the GTM algorithm on simulated data from flow diagnostics for a multi-phase oil pipeline
Metabolic profiling reveals reprogramming of lipid metabolic pathways in treatment of polycystic ovary syndrome with 3-iodothyronamine
Complex diseases such as polycystic ovary syndrome (PCOS) are associated with intricate pathophysiological, hormonal, and metabolic feedbacks that make their early diagnosis challenging, thus increasing the prevalence risks for obesity, cardiovascular, and fatty liver diseases. To explore the crosstalk between endocrine and lipid metabolic pathways, we administered 3-iodothyronamine (T1AM), a natural analog of thyroid hormone, in a mouse model of PCOS and analyzed plasma and tissue extracts using multidisciplinary omics and biochemical approaches. T1AM administration induces a profound tissue-specific antilipogenic effect in liver and muscle by lowering gene expression of key regulators of lipid metabolism, PTP1B and PLIN2, significantly increasing metabolites (glucogenic, amino acids, carnitine, and citrate) levels, while enhancing protection against oxidative stress. In contrast, T1AM has an opposing effect on the regulation of estrogenic pathways in the ovary by upregulating STAR, CYP11A1, and CYP17A1. Biochemical measurements provide further evidence of significant reduction in liver cholesterol and triglycerides in post-T1AM treatment. Our results shed light onto tissue-specific metabolic vs. hormonal pathway interactions, thus illuminating the intricacies within the pathophysiology of PCOS. This study opens up new avenues to design drugs for targeted therapeutics to improve quality of life in complex metabolic diseases
Genetic characterization of native donkey (Equus asinus) populations of Turkey using microsatellite markers
This study presents the first insights to the genetic diversity and structure of the Turkish donkey populations. The primary objectives were to detect the main structural features of Turkish donkeys by microsatellite markers. A panel of 17 microsatellite markers was applied for genotyping 314 donkeys from 16 locations of Turkey. One hundred and forty‐two alleles were identified and the number of alleles per locus ranged from 4 to 12. The highest number of alleles was observed in AHT05 (12) and the lowest in ASB02 and HTG06 (4), while ASB17 was monomorphic. The mean HO in the Turkish donkey was estimated to be 0.677, while mean HE was 0.675. The polymorphic information content (PIC) was calculated for each locus and ranged from 0.36 (locus ASB02) to 0.98 (locus AHT05), which has the highest number of alleles per locus in the present study. The average PIC in our populations was 0.696. The average coefficient of gene differentiation (GST) over the 17 loci was 0.020 ± 0.037 (p < 0.01). The GST values for single loci ranged from −0.004 for LEX54 to 0.162 for COR082. Nei’s gene diversity index (Ht) for loci ranged from 0.445 (ASB02) to 0.890 (AHT05), with an average of 0.696. A Bayesian clustering method, the Structure software, was used for clustering algorithms of multi‐locus genotypes to identify the population structure and the pattern of admixture within the populations. When the number of ancestral populations varied from K = 1 to 20, the largest change in the log of the likelihood function (ΔK) was when K = 2. The results for K = 2 indicate a clear separation between Clade I (KIR, CAT, KAR, MAR, SAN) and Clade II (MAL, MER, TOK, KAS, KUT, KON, ISP, ANT, MUG, AYD and KAH) populations. © 2020 by the authors. Licensee MDPI, Basel, Switzerland
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