3,362 research outputs found
A Shifting Paradigm of Work-Life Balance in Service Context-An Empirical Study
Purpose: The study examined the effect of various ‘work-life balance’ determinants such as employee benefits, work environment, workload, flextime and discrimination on work culture and job satisfaction. Introduction: In the second half of the last century, tremendous environmental, economic, political, and socio cultural changes contributed to the restructuring of couples in their relation to work. Literature review: Several fundamental changes in family and work structures, such as the participation of women in the workforce, family arrangements that deviate from traditional gender-based roles (e.g. dual-earner couples), and technological changes (e.g. cell phones, portable computers) have reduced the separation between job and family life. Methods: Data were collected from a multinational insurance firm based on structured questionnaire. Conclusion: Results indicated that employee benefits, work environment, flextime, and discrimination were significantly related with job satisfaction. Although work environment and workload were related significantly with work, culture but work culture has no relationship with flextime, and discrimination of the employees. Recommendations: The findings suggest that incorporating these dimensions may render service organization with the potent to improve existing level of performance and job satisfaction.Work culture, job satisfaction, flextime, discrimination, benefits and facilities
Agricultural Trade Liberalisation and Economic Growth in Developing Countries: Analysis of Distributional Consequences
The article analyses the impact of agricultural trade liberalisation on economic growth as well as on the welfare of rural livelihoods in developing countries through technological transformation in the agricultural sector. The article, based on existing literature, considers the background and reasons for the policy shift in developing economies away from agricultural protection and toward trade liberalisation. It attempts to shed light on the debate over the distributional consequences resulting from trade liberalisation. It also analyses how agricultural trade policy reforms affect poverty and inequality, since the majority of the population of developing countries is involved with agriculture, and these households are predominantly rural poor and functionally landless. The study found that trade liberalisation in the agricultural sector has had positive impacts on the agricultural sector but has contributed very little to poverty reduction because of the lack of income distribution and inequality measures in the policy sphere. The article might be useful for policy makers and researchers.agriculture, developing countries, growth, inequality, trade liberalisation, Agribusiness, Agricultural and Food Policy, Agricultural Finance, Community/Rural/Urban Development, Crop Production/Industries, Farm Management, Institutional and Behavioral Economics, International Development, Labor and Human Capital, Land Economics/Use, Political Economy, Research and Development/Tech Change/Emerging Technologies,
Measuring neutron-star ellipticity with measurements of the stochastic gravitational-wave background
Galactic neutron stars are a promising source of gravitational waves in the
analysis band of detectors such as LIGO and Virgo. Previous searches for
gravitational waves from neutron stars have focused on the detection of
individual neutron stars, which are either nearby or highly non-spherical. Here
we consider the stochastic gravitational-wave signal arising from the ensemble
of Galactic neutron stars. Using a population synthesis model, we estimate the
single-sigma sensitivity of current and planned gravitational-wave
observatories to average neutron star ellipticity as a function of
the number of in-band Galactic neutron stars . For the plausible
case of , and assuming one year of observation time
with colocated initial LIGO detectors, we find it to be
, which is comparable to current bounds on
some nearby neutron stars. (The current best upper limits are
) It is unclear if Advanced LIGO can
significantly improve on this sensitivity using spatially separated detectors.
For the proposed Einstein Telescope, we estimate that
. Finally, we show that stochastic
measurements can be combined with measurements of individual neutron stars in
order to estimate the number of in-band Galactic neutron stars. In this way,
measurements of stochastic gravitational waves provide a complementary tool for
studying Galactic neutron stars
Multibaseline gravitational wave radiometry
We present a statistic for the detection of stochastic gravitational wave
backgrounds (SGWBs) using radiometry with a network of multiple baselines. We
also quantitatively compare the sensitivities of existing baselines and their
network to SGWBs. We assess how the measurement accuracy of signal parameters,
e.g., the sky position of a localized source, can improve when using a network
of baselines, as compared to any of the single participating baselines. The
search statistic itself is derived from the likelihood ratio of the cross
correlation of the data across all possible baselines in a detector network and
is optimal in Gaussian noise. Specifically, it is the likelihood ratio
maximized over the strength of the SGWB, and is called the maximized-likelihood
ratio (MLR). One of the main advantages of using the MLR over past search
strategies for inferring the presence or absence of a signal is that the former
does not require the deconvolution of the cross correlation statistic.
Therefore, it does not suffer from errors inherent to the deconvolution
procedure and is especially useful for detecting weak sources. In the limit of
a single baseline, it reduces to the detection statistic studied by Ballmer
[Class. Quant. Grav. 23, S179 (2006)] and Mitra et al. [Phys. Rev. D 77, 042002
(2008)]. Unlike past studies, here the MLR statistic enables us to compare
quantitatively the performances of a variety of baselines searching for a SGWB
signal in (simulated) data. Although we use simulated noise and SGWB signals
for making these comparisons, our method can be straightforwardly applied on
real data.Comment: 17 pages and 19 figure
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