532 research outputs found
Implications of and for texture specific lepton mass matrices and decay
We study the phenomenological consequences of recent results from atmospheric
and accelerator neutrino experiments, favoring normal neutrino mass ordering
, a near maximal lepton Dirac CP phase along with , for possible realization
of natural structure in the lepton mass matrices characterized by for . It is observed that deviations
from parallel texture structures for and are essential for
realizing such structures. In particular, such hierarchical neutrino mass
matrices are not supportive for a vanishing neutrino mass characterized by Det and predict , , , and , respectively, indicating
that the task of observing a decay may be rather challenging
for near future experiments.Comment: 12 pages, 10 figures, 2 table
Quark Flavor Mixings from Hierarchical Mass Matrices
In this paper, we extend the Fritzsch ansatz of quark mass matrices while
retaining their hierarchical structures and show that the main features of the
Cabibbo-Kobayashi-Maskawa (CKM) matrix , including , and , can be well understood. This agreement is observed
especially when the mass matrices have non-vanishing and
off-diagonal elements. The phenomenological consequences of these for the
allowed texture content and gross structural features of `hierarchical' quark
mass matrices are addressed from a model independent prospective under the
assumption of factorizable phases in these. The approximate and analytical
expressions of the CKM matrix elements are derived, and a detailed analysis
reveals that such structures are in good agreement with the observed quark
flavor mixing angles and the CP-violating phase at the level and call
upon a further investigation of the realization of these structures from a
top-down prospective.Comment: 8 pages, 3 figures, Accepted for publication in European Physical
Journal
Amplification of large-scale magnetic field in nonhelical magnetohydrodynamics
It is typically assumed that the kinetic and magnetic helicities play a
crucial role in the growth of large-scale dynamo. In this paper we demonstrate
that helicity is not essential for the amplification of large-scale magnetic
field. For this purpose, we perform nonhelical magnetohydrodynamic (MHD)
simulation, and show that the large-scale magnetic field can grow in nonhelical
MHD when random external forcing is employed at scale the box size. The
energy fluxes and shell-to-shell transfer rates computed using the numerical
data show that the large-scale magnetic energy grows due to the energy
transfers from the velocity field at the forcing scales.Comment: 8 pages, 13 figure
An Empirical Analysis of Management Challenges in Service Factories, Service Shops, Mass Services and Professional Services
This study presents an empirical snapshot of management challenges among different types of service industries (Service Factory, Service Shop, Mass Service, and Professional Service). Based on data collected (sample size = 273; response rate 97.5 percent) from the managers of four services (Fast Food, Auto Repair, Retail Sales, Legal Services) we show how management challenges change with customer contact/customization and labour intensity. These results have important implications for understanding “real life\u27\u27 service operations, for process improvement, and for service design
Service Marketing
[Excerpt] Recognizing the need to improve the understanding of the services industry, this chapter provides an overview of services marketing concepts. Because services are inherently multifunctional in nature, operations, marketing, technology, and human issues are intimately connected to each other. Within this context, transportation services play the role of a key enabler, by facilitating the required and necessary movement of goods and people to satisfy the needs of the marketplace (e.g., delivery of mail-order merchandise to homes; mass rapid transport systems in urban areas). Many of the conveniences desired by the citizens of the service/experience economy cannot be fulfilled without the development of an efficient transportation system, and hence transportation and logistics services are growing at a rate faster than the growth of the entire service sector. For example, during the 1990s, while cumulative employment growth in the U.S.A. was 18%, the total service sector employment increased by 22% and transportation services employment increased by 26% (U.S. Bureau of Labor Statistics, 2000). Within the transportation services sector, employment in the trucking and air transportation services increased by 29% and 27%, respectively
Management Science, Theory of Constraints/Optimized Production Technology and Local Optimization
This study uses a controlled laboratory experiment to compare the performances of Management Science (MS), Theory of Constraints/Optimized Production Technology (TOC/OPT) and Local Optimization (LO) approaches to production planning. The OPT game was used as the experimental instrument. The subjects were given hint sheets based on MS, TOC/OPT and LO approaches. The results show that production planning by MS and TOC/OPT approaches improve the performance more than the LO approach. Additionally MS was found to improve the performance more than TOC. Statistical power analysis of the data suggests that the laboratory experiment had a high power and the tested approaches had a medium to large effect on performance
Outback Steakhouse in Korea: A Commentary
Economics is only the beginning of the puzzle for successful international expansion by food-service firms. As depicted in the accompanying case study, Outback Korea seems to have considered such other factors as local culture and proper entry strategy
Understanding and Predicting Customer Choices
Your customers are confronted with multiple options for where they can dine and where they will stay for the night. The choices they make among the many lodging and dining options are based on criteria that are not always clear—certainly not to you, and often not to them. Your guests may have chosen your hotel because of its favorable room rate, its brand name, its quality rating, its features and amenities, reviews posted by past guests on social media sites, or simply because they were ready to stop for the night and there it was. Similarly, in the case of a restaurant, a customer’s choice may be influenced by the cuisine, menu, décor, price, and reputation.
The more you can learn about what factors your guests take into account when they decide whether to book your hotel or a competitor’s property, the better you are able to meet those decision criteria and boost occupancy and rate. In this chapter, I explain two ways to find out those criteria: simply ask, or set up discrete choice experiments. The reason for the experiments is that when you simply ask, you might not get an accurate or complete answer. The problem with the experiments is that the procedure can be complicated, even though the information itself is most useful
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