8,975 research outputs found
Control, conflict, and motivation in socio-cultural context.
The central argument of this thesis is that unlike in the West, organizational behavior in the Middle East and the Indian sub-continent is, predominantly, not a function of work/task related imperatives but largely determined by the broader socio-cultural context, norms and values of the respective societies. Based on extensive interviews and participant and nonparticipant observation in the Middle East and sub-continent, and content analysis of media
reports and lìterature, the effects of the respective socio-cultural contexts are documented in terms of three key determinants of organizational behavior, conflict, control and motivation.
The thesis examines traditional and modern 'Western' sources of literature regarding control, conflict and motivation and the nature of culture itself and draws attention to the need for modification in certain 'Euroamerican' theories when applied to the strong social, familial and cultural structures, values, beliefs and assumptions present in the two other cultures
investigated. Recommendations are put forward as to the kind of changes in the socio-cultural context of the Middle East and Indian sub-continent, if organizational behavior is to be transformed.
In conclusion, a picture emerges of the stark differences between the cultures in terms of status, incomes, role of family and state, social control, family structure, population pressures and religious control - all of which are evidence of the predominance of the sociocultural context in determining organizational behavior. A theory is offered stating that organizational behavior is primarily a derivative of the structures and functions of broader
socio-cultural institutions. A corollary of the said theory is that patterns of control, conflict, and motivation are strongly influenced by the structural-functional properties of a socio-cultural system, and hence, 'intrinsic motivation' is a rare phenomenon
Gap sequences of 1-Weierstrass points on non-hyperelliptic curves of genus 10
In this paper, we compute the 1-gap sequences of 1-Weierstrass points on
non-hyperelliptic smooth projective curves of genus 10. Furthermore, the
geometry of such points is classified as flexes, sextactic and tentactic
points. Also, an upper bounds for their numbers are estimated.Comment: 12 page
Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure
This study examines how federal farm policies, specifically crop insurance, have affected the farm economic structure of North Dakota’s agriculture sector. The system of derived input demand equations is estimated to quantify the changes in North Dakota farmers’ input use when they purchase crop insurance. Further, the cumulative rolling regression technique is applied to capture the varying effects of the farm policies over time. Empirical results from the system of input demand functions indicate that there is no moral hazard since North Dakota farmers will increase fertilizer and pesticide use in the presence of crop insurance. Results also indicate that farmers in this state will not increase the use of land.Farm Management,
TESTING FOR INPUT AND OUTPUT SEPARABILITY IN NEBRASKA AGRICULTURE SECTOR
The existence of Weak Separability aggregates of inputs and outputs is tested using a Translog production and input requirement function for the Nebraska Agricultural sector for 1936-1994. A separability test was performed only after testing time series properties by comparing the null hypothesis of stationarity against the alternative of unit roots.Research Methods/ Statistical Methods,
INTERTEMPORAL AND INTERSPATIAL VARIABILITY OF CLIMATE CHANGE ON DRYLAND WINTER WHEAT YIELD TRENDS
The importance of climate (temperature and precipitation) variability on Nebraska dryland winter wheat yield trend is examined. The use of short term (1956-1999) climatic divisional panel data (interspatial) and long term (1909-1999) state time series data (intertemporal) is to address the predictability power of estimating the yield trends accounting for climate variability.Resource /Energy Economics and Policy,
AN EXAMINATION OF DIFFERENT TYPES OF ADVERSE SELECTION IN FEDERAL CROP INSURANCE
Different types of adverse selection-type of insurance product, type of unit, type of coverage and number of actual yields reported in Federal crop insurance is examined utilizing binomial and ordered logit discrete choice models for all U.S. cotton producers, 1997-2000. The associated costs of adverse selection in U.S. cotton range from 359 Million for the four-year period.Risk and Uncertainty,
Beltrami-like fields created by baroclinic effect in two-fluid plasmas
A theory of two-dimensional plasma evolution with Beltrami-like flow and
field due to baroclinic effect has been presented. Particular solution of the
nonlinear two-fluid equations is obtained. This simple model can explain the
generation of magnetic field without assuming the presence of a seed in the
system. Coupled field and flow naturally grow together. The theory has been
applied to estimate B-field in laser-induced plasmas and the result is in good
agreement with experimental values.Comment: 3 page
OPTIONAL UNIT POLICY IN CROP INSURANCE
Utilizing ordered logit we examine the presence of two kinds of asymmetric information-adverse selection (intertemporal variability) and moral hazard (interspatial and/or residual variability) as revealed by the choice of optional units in Federal crop insurance utilizing Risk Management Agency's 1996-2000 cotton yield and loss data files. Further, a tobit model is estimated to examine the factors explaining the loss cost ratio from Risk Management Agency perspective. Potential costs of adverse selection and/or moral hazard in optional unit provision are estimated to be as high as $180 million in US cotton over the 1996-2000 period. Keywords: Adverse Selection, Moral Hazard, Optional Unit Policy, Crop Insurance, U.S. Cotton, Logit and Tobit models.Adverse Selection, Moral Hazard, Optional Unit Policy, Crop Insurance, U.S. Cotton, Logit and Tobit models., Risk and Uncertainty,
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