Influence Of Regulative Pressures On Strategy Implementation In Public Secondary Schools In Selected Counties In Kenya

2021 ◽  
Vol 8 (4) ◽  
pp. 309-326
Author(s):  
Harun Kaumbuthu Mutea ◽  
Thomas Anyanje Senaji ◽  
Nancy Gacheri Rintari
Keyword(s):  
Secondary Schools ◽  
Institutional Theory ◽  
Management Practice ◽  
Empirical Studies ◽  
Binary Logistic Regression ◽  
Strategy Implementation ◽  
Empirical Literature ◽  
Binary Logistic Regression Model ◽  
Successful Strategy ◽  
The Government

Preparation of strategic plans and their implementation in public secondary schools is mandatory for all schools in Kenya. However, the implementation is a challenge to the majority of the schools hence the need to investigate the factors that influence it. Being a relatively new management practice in public secondary schools, empirical studies in this area are limited. Drawing from the institutional theory, we conducted a descriptive structured self-administered questionnaire survey to determine the influence of regulative pressures on strategy implementation in public secondary schools. We further, examined the moderating effect of mimetic pressures on this relationship. We found that public secondary schools experienced moderate regulative pressures from the government to implement strategies and that through binary logistic regression model, regulative pressure significantly predicted the probability of successful strategy implementation (Wald = 13.682, df = 1, p < .001, exp (B) = 3.393). However, mimetic pressures did not significantly moderate the relation between regulative pressure and strategy implementation (Wald = .098, df = 1, p = .754 > .05, exp (B) =.737). Theoretically the study contributes to the scarce empirical literature on strategy implementation from the institutional theory perspective compared to strategy formulation. Practically, the study draws attention of stakeholders to the less investigated factors that influence strategy implementation namely: the regulative pressures. These findings have implications for government to strengthen the monitoring of public secondary schools to increase the likelihood of successful strategy implementation in public secondary schools.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT

2020 ◽  
Vol 14 (2) ◽  
pp. 181-192
Author(s):  
Amelia Amelia ◽  
Fitra Mulyani ◽  
Ulya Nabilla
Keyword(s):  
Logistic Regression ◽  
Economic Status ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Binary Logistic Regression Model ◽  
The Status ◽  
Rice Consumption ◽  
The Government

Poverty is an inability to meet basic needs measured by expenditure, including rice consumption. Based on data from the Central Statistics Agency (BPS), as much as 95% of Indonesia's population consumes rice as the main food, with an average rice consumption of 102 kg/person/ year (BPS, 2013). Furthermore, BPS stated that almost 1/4 of them or around 25.95 million people were included in the category of the poor population as of March 2018. So the government made a policy to tackle the problem through the program of giving poor family rice (Raskin), namely subsidized rice assistance to households poor. However, in the implementation of the Raskin program, there was a deviation of around 40% of Indonesia's population with a middle-upper social-economic status receiving Raskin and 12.5% ​​of the population with a socio-economic status upon receiving Raskin. Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. The location of the study was conducted in the District of West Langsa because the district was one of the districts receiving the most Raskin in the City of Langsa. The data used in this study are primary data and secondary data. The results of the analysis show that the factors that influence Raskin's acceptance status are the level of education, type of floor, type of fuel, expenditure for food, and frequency of purchasing new clothes. The binary logistic regression model obtained is

Socio-cultural Factors influencing livestock investment decisions among Smallholder Farmers in Mbulu and Bariadi Districts, Tanzania

2017 ◽  
Vol 20 (5) ◽  
pp. 1214-1230
Author(s):  
Nyanjige Mbembela Mayala ◽  
Mangasini Atanasi Katundu ◽  
Elibariki Emmanuel Msuya
Keyword(s):  
Smallholder Farmers ◽  
Influencing Factor ◽  
Investment Decisions ◽  
Binary Logistic Regression ◽  
Cultural Factors ◽  
Primary Data ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Number Of Children ◽  
The Government

Several different actors are involved in making sure smallholder farmers are motivated to commit funds in expectation of future returns (investment decisions) from useful domesticated animals (livestock). However, efforts by the government, international organizations and the private sector have not been able to significantly increase trade trends in Tanzania’s livestock which explains that there could be a lot more reasons for that. This manuscript assesses the socio-cultural factors (SCFs) influencing livestock investment decisions among smallholder farmers in Mbulu and Bariadi districts in Tanzania. A cross-sectional research design was employed where a sample of 333 respondents and 9 key informants were interviewed. Primary data were collected using a structured questionnaire and a key informant checklist. A binary logistic regression model (BLRM) was used to analyse the relationship between SCFs and livestock investment decisions. Results show that store of wealth is the most influencing factor followed by prestige, bride prices, ethnicity and number of children (significant at p < 0.05) to household livestock investment decisions. The study generally concludes that smallholder farmers consider their cultural perspectives before they decide on livestock management styles and that blending the SCFs and other factors could secure more livestock investments.

scholarly journals Obstacles to strategy implementation and success factors: A review of empirical literature

2021 ◽  
Vol 26 (2) ◽  
pp. 12-30
Author(s):  
Kristján Vigfússon ◽  
Lára Jóhannsdóttir ◽  
Snjólfur Ólafsson
Keyword(s):  
Success Factors ◽  
Practical Knowledge ◽  
Empirical Studies ◽  
Implementation Process ◽  
Strategy Implementation ◽  
Primary Data ◽  
Empirical Literature ◽  
Factors Affecting ◽  
Knowledge Based ◽  
The One

The purpose of this study is to identify obstacles and success factors evident from empirical studies affecting strategy implementation and to provide an overview of the empirical literature. A systematic literature review (SLR) was used to analyze thirty-five peer-reviewed empirical articles. All of the 35 research papers selected in this review use primary data gathered from the organizations studied. This study of empirical research has identified 16 obstacles that can hinder strategy implementation and 18 success factors that can facilitate implementation. This study highlights factors that are dualistic, meaning that they contain both elements of obstacles and key success factors. The dualistic factors should therefore be considered in the strategy implementation process. Research gaps are identified. They include lack of studies on how to overcome obstacles to strategy on the one hand and on employee influence on implementation on the other. The differences among industries, countries, or cultures regarding implementation have not yet been explored at any depth. The paper adds to theoretical and practical knowledge based on the systematic overview it provides on strategy implementation from 1980 until 2020. The paper enriches the practical knowledge relevant to those implementing strategies, as it captures and identifies the dualistic factors affecting strategy implementation.

Empirical Analysis of Peasant Household Land Outflow Behavior in Major Grain Producing Areas

2014 ◽  
Vol 962-965 ◽  
pp. 2229-2233 ◽  
Author(s):  
Li Shuang Wang ◽  
Chun Ping Wang ◽  
Wei Ma
Keyword(s):  
Migrant Workers ◽  
Family Income ◽  
Influence Factors ◽  
Binary Logistic Regression ◽  
Significant Negative Correlation ◽  
Liaoning Province ◽  
Binary Logistic Regression Model ◽  
Agricultural Employment ◽  
Peasant Household ◽  
The Government

According to 273 peasant household samples in major grain producing areas of Tieling city, Liaoning province, the paper establishes binary Logistic regression model to analyze the influence factors of peasant household land outflow behavior. It turns out that age, education level, migrant workers number, family economic income structure, non-agricultural employment ability and distance between farmland and county have significant positive correlation with peasant household land outflow behavior, farmland fragmentary degree has significant negative correlation. On this basis, the paper suggests that the government should strengthen peasant household non-agricultural employment ability, change family income structure, broaden the income channels to increase the driving force of land outflow, and perfect the rural social security system, weaken the land safeguard function to reduce the worries of land outflow.

scholarly journals Which Contraceptive Methods are Used for Stopping Childbearing in India? Levels, Patterns and Determinants

2020 ◽  
Author(s):  
AVIJIT ROY ◽  
MARGUBUR RAHAMAN ◽  
NANIGOPAL KAPASIA ◽  
PRADIP CHOUHAN
Keyword(s):  
Unmet Need ◽  
Family Health ◽  
Binary Logistic Regression ◽  
National Family Health Survey ◽  
Contraceptive Methods ◽  
Binary Logistic Regression Model ◽  
Wealth Status ◽  
National Family ◽  
The Government ◽  
Fourth Round

Abstract Background: This study aims to examine patterns and socio-economic correlates of using contraceptives for limiting childbirths in India. Methods: The study is based on data from the fourth round of the National Family Health Survey considering 339,537 currently married, non-pregnant and fecund women. Bivariate and three separate binary logistic regression model were carried out to accomplish the research objectives. Results: Most of the women stated to postpone their childrearing after age 25 years and after achieved children 2 or more in India. Still, 13.5% women were not using any contraceptive to satisfy their demand for postpone childbearing and 8% women were using traditional contraceptive to postpone their childbearing and using traditional contraceptive to postpone childrearing was higher among women aged 15-19 years, illiterate, poor, Muslims and belong from central and northeast region. Women’s age, parity, year of schooling, wealth status, religion, caste, mass media and region found to be strong determinants of met need for limiting childbearing and using traditional contraceptives in India. Conclusion: The met need for demand of spacing methods was fur lagging to desire goals of SDG-3.7.The government should needs to focus on women with high unmet need for limiting and use traditional methods for limiting.

scholarly journals Which Contraceptive Methods Are Used for Stopping Childbearing in India? Levels, Patterns and Determinants

2020 ◽  
Author(s):  
AVIJIT ROY ◽  
MARGUBUR RAHAMAN ◽  
NANIGOPAL KAPASIA ◽  
PRADIP CHOUHAN
Keyword(s):  
Unmet Need ◽  
Family Health ◽  
Binary Logistic Regression ◽  
National Family Health Survey ◽  
Contraceptive Methods ◽  
Binary Logistic Regression Model ◽  
Wealth Status ◽  
National Family ◽  
The Government ◽  
Fourth Round

Abstract Background: This study aims to examine patterns and socio-economic correlates of using contraceptives for limiting childbirths in India. Methods: The study is based on data from the fourth round of the National Family Health Survey considering 339,537 currently married, non-pregnant and fecund women. Bivariate and three separate binary logistic regression model were carried out to accomplish the research objectives. Results: Most of the women stated to postpone their childrearing after age 25 years and after achieved children 2 or more in India. Still, 13.5% women were not using any contraceptive to satisfy their demand for postpone childbearing and 8% women were using traditional contraceptive to postpone their childbearing and using traditional contraceptive to postpone childrearing was higher among women aged 15-19 years, illiterate, poor, Muslims and belong from central and northeast region. Women’s age, parity, year of schooling, wealth status, religion, caste, mass media and region found to be strong determinants of met need for limiting childbearing and using traditional contraceptives in India. Conclusion: The met need for demand of spacing methods was fur lagging to desire goals of SDG-3.7.The government should needs to focus on women with high unmet need for limiting and use traditional methods for limiting.

Examining the willingness of youths to participate in agriculture to halt the rising rate of unemployment in South Western Nigeria

2019 ◽  
Vol 46 (3) ◽  
pp. 578-590 ◽  
Author(s):  
Wasiu Olayinka Fawole ◽  
Burhan Ozkan
Keyword(s):  
Employment Status ◽  
Binary Logistic Regression ◽  
Educational Status ◽  
Primary Data ◽  
Willingness To Participate ◽  
Binary Logistic Regression Model ◽  
Content Type ◽  
Employment Generation ◽  
The Government ◽  
Conducive Environment

Purpose The purpose of this paper is to investigate the willingness of unemployed graduates to participate in agriculture with a view to showcase the potentials in Nigerian agriculture especially in the area of employment generation for the youths. Design/methodology/approach The study made use of primary data collected with the aid of structured questionnaires from 180 respondents from the three states of Ondo; Oyo and Osun states are the representative states from the entire South West. The binary logistic regression model was used to identify those factors that influence the willingness of the respondents who were graduates of various disciplines to participate in agriculture. Findings The findings of the study showed that the majority of the respondents interviewed representing 62.8 percent were unemployed with the majority of the respondents (68.3 percent) willing to participate in agriculture given the needed and required supports such as conducive environment by the stakeholders particularly the government. Educational status, marital status, gender, possession of agricultural training and employment status of respondents significantly influenced their willingness to participate in agriculture. Research limitations/implications The greatest limitation of this study is its sample size which is considerably small but considering the peculiarity in the challenges faced by the entire population; this limitation has been overcome, thus, making its findings valid for policy purposes. However, recommendations for further studies that would comprise the entire geopolitical zones of the country to pave way for comparative analysis were made. Originality/value The study is originally carried out by conducting a survey to collect the data and is coming to fill the existing gap in the literature in terms of potentials embedded in Nigerian agriculture to assist the government in providing employment opportunities for teeming youths.

scholarly journals Adoption of Conservation Tillage on the Semi-Arid Loess Plateau of Northwest China

2018 ◽  
Vol 10 (8) ◽  
pp. 2621 ◽  
Author(s):  
Qingfeng Han ◽  
Kadambot Siddique ◽  
Fengmin Li
Keyword(s):  
Loess Plateau ◽  
Negative Impact ◽  
Conservation Tillage ◽  
Binary Logistic Regression ◽  
Farming Systems ◽  
Northwest China ◽  
Binary Logistic Regression Model ◽  
Positive Effects ◽  
The Government ◽  
Semi Arid

Conservation tillage is an important approach to prevent water loss and soil erosion and promote soil fertility that has been adopted widely throughout the world. However, despite promotion of the benefits of conservation tillage, obstacles are still encountered in some regions. A survey of 385 farmer households in the semi-arid Loess Plateau of China was conducted to assess the adoption of conservation tillage (ACT). This investigation was located in two counties that have run conservation tillage demonstrations with wheat for at least eight years. A binary logistic regression model was used to quantify the factors determining whether or not farmers adopt conservation tillage. Farmer’s education level, the influence of training, and field demonstrations by agricultural departments had significant positive effects on ACT. Although the adoption rate of conservation tillage in this paper was very high (89%), farmers were reluctant to continue practicing conservation tillage based on their experiences, which is contrary to the expectations of the government. The area available for planting winter wheat and the number of arable plots per household also had significant positive effects on ACT. However, the total cultivated area of land per household had a significant negative impact on ACT. Farmer awareness of conservation tillage technology, the distance from a farmer’s house to the nearest agricultural market, and the size of the active labor force in the family had significant negative impacts on ACT. These results will help in the development of more effective and targeted policies to improve the sustainability of farming systems on the semi-arid Loess Plateau.

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

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