scholarly journals Effect of Strategic Outsourcing Approaches on The Performance of Manufacturing Companies Listed at The Nairobi Security Exchange, Kenya

2021 ◽  
Vol 5 (1) ◽  
pp. 11
Author(s):  
Moses Munguti Kisilu ◽  
Ms. Catherine Gatari
Keyword(s):  
Regression Analysis ◽  
Positive Relationship ◽  
Study Data ◽  
Manufacturing Companies ◽  
Business Process Outsourcing ◽  
Independent Variables ◽  
Manufacturing Outsourcing ◽  
Strategic Outsourcing ◽  
Independent Variable ◽  
Strategic Project

Purpose: This study sought to establish the effect of strategic outsourcing approaches on the performance of manufacturing.Methodology: A descriptive survey design was adopted, informed by the relatively small population of the listed manufacturing and allied companies, which doubled as the target population of the study. A structured and closed- ended questionnaire was used to collect primary data, administered by drop and pick a method. Total of (72) strategic managers drawn from the nine manufacturing firms were involved in the study. Data collected was quantitatively scrutinized based on research objectives and presented in form of tables and charts for interpretation. The data was then be analyzed through descriptive and inferential statistics supported by the statistical package for social sciences (SPSS), version 22. Regression analysis was done to ascertain the effect of strategic outsourcing approaches on performance. The response rate of the study was 92%.Results and conclusion: The findings of the study showed that strategic professional outsourcing, strategic manufacturing outsourcing, strategic business process outsourcing and strategic project outsourcing have a positive relationship with performance of performance of the manufacturing companies listed at the Nairobi Security Exchange. The results of the regression analysis revealed there is a significant positive relationship between the dependent variable and the independent variable. The independent variables reported R-value of .805 indicating that there is a perfect relationship between a dependent variable and independent variables. R square value of 0.647 means that 64.7% of the corresponding variation in performance of manufacturing companies listed at the Nairobi Security Exchange can be explained or predicted by (strategic professional outsourcing, strategic manufacturing outsourcing, strategic business process outsourcing and strategic project outsourcing) which indicated that the model fitted the study data. The results of the regression analysis revealed that there was a significant positive relationship between the dependent variable and independent variable at (β = 0.647), p=0.000 <0.05).Unique contribution to theory, practice and policy: Finally, the study commends that manufacturing companies listed at the Nairobi Security Exchange embrace the various strategic outsourcing approaches as a way to improve their performance. Equally, the study recommends similar studies be carried out in other industries across the country and in abroad to ascertain if the same results can be obtained and generalized.

scholarly journals EMOTION DETECTION ON KENYAN TWEETS USING EMOTION ONTOLOGY

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
CLEOPHUS KIPROP KURGAT ◽  
DR. LAWRENCE NDERU
Keyword(s):  
Regression Analysis ◽  
Positive Relationship ◽  
Target Population ◽  
Study Data ◽  
Emotion Detection ◽  
Descriptive Research ◽  
Depth Study ◽  
Social Media Platforms ◽  
Twitter Account ◽  
Independent Variable

Purpose: The purpose of the study was emotion detection on Kenyan tweets as a powerful tool in detecting and recognizing the various feelings among netizens and provide critical analytics that can be used in various platforms for decision making.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population will be twitter account holders with twitter followers ranging between 100,000 up to 2000, 000 in Kenya. Data was analyzed using descriptive and inferential statistics. The study will employ a census approach to collect data from the respondents hence no sampling techniques will be used. According to Larry (2013) a census is a count of all the elements in a population. The sample size will be the 150 respondents .Quantitative data was analyzed using multiple regression analysis. The qualitative data generated was analyzed by use of Statistical Package of Social Sciences (SPSS) version 20.Results: The response rate of the study was 64%.The findings of the study indicated that hashtags, emojis, GIF’s and adjectives have a positive relationship with emotion detection in Kenya.Conclusion: R square value of 0.715 means that 71.5% of the corresponding categorization in emotion ontology can be explained or predicted by (hashtags, emojis, GIF’s and adjectives) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Policy recommendation: Finally, the study recommended that twitter account holders should embrace various emotion detecting platforms so as to improve how they articulate issues and further researches should to be carried out in other social media platforms to find out if the same results can be obtained.

scholarly journals Influence of Public Procurement and Asset Disposal Act on Performance of Executive State Corporations in Kenya

2021 ◽  
Vol 5 (1) ◽  
pp. 67-85
Author(s):  
Stevens Omondi Musewe ◽  
Makori Moronge
Keyword(s):  
Regression Analysis ◽  
Positive Relationship ◽  
Public Procurement ◽  
Study Data ◽  
Public Institutions ◽  
Unique Contribution ◽  
Policy And Practice ◽  
Independent Variables ◽  
Logistics Information System ◽  
Freight Forwarding

Purpose: The purpose of the study was to examine influence of public procurement and asset disposal Act on performance of executive state corporations in Kenya with an aim of making recommendations on proper use. Methodology: The study employed a descriptive research design targeting the all 62 executive state corporations operating in Kenya. Data was collected from heads of procurement and their deputies in the entities. The researcher preferred this method because it allowed an in-depth study of the subject. Data was collected using self-administered questionnaires. Structured questionnaires were used to collect data. Data was analyzed using descriptive and inferential statistics. Quantitative data was analyzed using multiple regression analysis. The qualitative data generated was analyzed by use of Statistical Package of Social Sciences (SPSS) version 22. The response rate of the study was 81%. The findings of the study indicated that regulation bodies, methods of procurement, preferences and reservations and disposal of assets have a positive relationship with performance of executive state corporations in Kenya. Results and conclusion: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of executive state corporations in Kenya can be explained or predicted by (preferences and reservation, regulation bodies, disposal of assets and methods of procurement) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β=0.715), p=0.000 <0.05). The findings of the study indicated that logistics information system, freight management, distributor base rationalization and transport planning have a positive relationship with performance of freight forwarding companies in Kenya. Unique contribution to theory, policy and practice: Finally, the study recommended that public institutions should embrace regulation bodies, methods of procurement, preferences and reservations and disposal of assets so as to improve performance of executive state corporations and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

scholarly journals IMPLIKASI PERUBAHAN UNDANG–UNDANG PERPAJAKAN TERHADAP KEPUTUSAN STRATEGI LEVERAGE BAGI PERUSAHAAN YANG TERDAFTAR DI PT. BURSA EFEK JAKARTA

2017 ◽  
Vol 12 (2) ◽  
pp. 227
Author(s):  
Sapari Sapari
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Stock Exchange ◽  
Negative Influence ◽  
Positive Influence ◽  
Independent Variables ◽  
Tax Shield ◽  
Independent Variable ◽  
Debt Tax Shield ◽  
Tax Regulation

This  research  examines the  connection between non debt tax shield and the change of leverage, between level of effective company tax and the change of leverage, and between operation income before depreciation and the change of leverage.This research takes 17 samples of  food and beverages companies listed in Jakarta Stock Exchange from 1st  January 1994 till 31st  December 1999. And this research uses data from 1994 – 1999 for the regression analysis. Multiple regression analysis is used to test hyphothesis 1 (H1), hyphothesis 2 (H2) and hyphothesis 3 (H3). Independent variables in the regression are level of effective company tax, non debt tax shield and operation income before depreciation, whilst independent variable in the regression is leverage.The result of this research proves that (1) non debt tax shield after the amendment of 1994 tax regulation (1995 – 1999) brings positive influence to the leverage change, (2) level of effective company tax after the amendment of 1994 tax regulation (1995 – 1999) brings negative influence to the leverage change, and (3) operation income before  depreciation  after the amendment of 1994 tax regulation (1995 – 1999) brings positive influence to the leverage change.

scholarly journals PENGARUH INFLASI DAN KURS TERHADAP UJRAH DALAM PEMBIAYAAN MUSYARAKAH MUTANAQISAH PADA PT. BANK MUAMALAT INDONESIA, TBK CABANG PEMATANGSIANTAR

2015 ◽  
Vol 1 (1) ◽  
pp. 86
Author(s):  
Nuri Aslami
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression Analysis ◽  
Field Research ◽  
Secondary Data ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Qualitative Approaches ◽  
Independent Variable

<p>This study aims to determine how the effects of inflation and exchange rate against <em>ujrah</em>, <em>musyarakah</em>, <em>mutanaqisah</em> PT Bank Muamalat Indonesia, Tbk Branch Pematang Siantar. This research is a field research using quantitative and qualitative approaches. The data used are secondary data, ie., data obtained from the Central Statistics Agency report, Report of Bank Indonesia, and the financial statements of PT Bank Muamalat Indonesia, Tbk Branch Pematang Siantar. The data were processed using SPSS 16. The analysis used is multiple linear regression analysis. The results showed that the inflation and the exchange rate (the independent variable) affects <em>ujrah</em> in <em>Musharaka</em>h financing <em>mutanaqisah</em> (dependent variable). The independent variables in this study could explain the change by 3.4% and the rest (96.6%) is explained by other variables beyond the variables used. Partially, the level of significant 5% and t <sub>table</sub> of 2034, inflation and exchange rate does not significantly affect the <em>Musharakah</em> financing <em>ujrah</em> <em>mutanaqisah</em>. This is demonstrated by the t <sub>value</sub> inflation of 0. 489 and t<sub>exchange</sub> rate of 0899.</p>

Intraprovincial trip distribution model

1986 ◽  
Vol 13 (4) ◽  
pp. 438-444 ◽  
Author(s):  
Bala Ashtakala ◽  
A. S. Narasimha Murthy
Keyword(s):  
Regression Analysis ◽  
Functional Form ◽  
Distribution Model ◽  
Trip Distribution ◽  
Individual Model ◽  
Independent Variables ◽  
Statistical Measures ◽  
Power Transformations ◽  
Independent Variable ◽  
Validity Tests

A town (or city) in a province generates external trips to other towns and cities for various purposes. A cordon origin–destination (O – D) survey shows the origin and destinations of the external trips of a town. An individual external trip distribution model is developed for a town using the cordon O – D survey data. The external trips are recognized as intra provincial trips and therefore the model is called intraprovincial trip distribution model. The data used in this study is taken from cordon O – D surveys done in Alberta.In the formulation of the model, a functional form that uses a linear relationship between the dependent and the independent variables and power transformations on the independent variable is considered. The parameters in the model are obtained by regression analysis. The models are validated by statistical measures and tests. In this paper, an individual model is developed for each of the seven cities and towns chosen for this study. The formulation and development of the model, regression analysis, and validity tests are described in detail. Key words: cordon survey, intraprovincial trips, model, power transformations, regression analysis, trip distribution.

scholarly journals Mencari Variabel-variabel Yang Mempengaruhi Sikap Mental Entrepreneural (Wirausaha)Pada Pemerintah Kabupaten Serdang Bedagai

2006 ◽  
Vol 6 (2) ◽  
pp. 155
Author(s):  
Arfan Ikhsan
Keyword(s):  
Regression Analysis ◽  
Key Words ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Mental Attitude ◽  
Independent Variables ◽  
Independent Variable

<p class="Style1">This research try to find some variables that influence entrepreneurial mental attitude at government of Serdang Bedagai Regency. independent variable which considered in this research is hierarchy, formalizes, trust, mission, ethics and regulation barriers level. Those independent variables will be able to improve society satisfaction, reduc­tion of level of bureaucracy and improvement of risking tendency. The data of this research collected from organization chart of Serdang Bedagai Regency. Amount of 68 responders participated in this research. Hereinafter this data processed by using multiple regression analysis. The result shows that formalizes, trust, mission, ethics and regulation barriers level have an effect significantly toward society satisfaction and also bureaucracy. Meanwhile risking tendency is significantly influenced by hierarchy, formalizes, mission and ethics.</p><p class="Style1" align="center">Key Words: hierarchy, formalizes, trust, mission, ethics and regulation barriers level</p>

scholarly journals Pengaruh Persepsi Kemudahan Dan Persepsi Kemanfaatan Terhadap Minat Konsumen Menggunakan Kartu Mandiri E-Money Bank Mandiri

2020 ◽  
Vol 4 (02) ◽  
pp. 39-48
Author(s):  
Rae Shita
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Statistical Technique ◽  
Positive Influence ◽  
Perceived Usefulness ◽  
Consumer Interest ◽  
Independent Variables ◽  
Increase Productivity ◽  
Independent Variable ◽  
Positive Effect

This study aims to determine the effect of perceived convenience on consumer interest in using E-Money cards. To determine the effect of perceived usefulness on consumer interest using E-Money cards. To determine the effect of perceived convenience and perceived usefulness on consumer interest using Bank Mandiri E-Money cards Muara Teweh Branch. In this study, multiple regression analysis acts as a statistical technique used to test whether or not the perceived effect of perceived convenience and perceived usefulness on consumer interest shows that there is a positive influence on perceived convenience and perceived usefulness simultaneously on consumer interest in using cards. Mandiri e-money. From the research results, it is known that the determination analysis used to determine the percentage of the contribution of the influence of the independent variables together on the dependent variable is obtained by an  Adjusted R Square of 0.839 or (83.9%). This shows that the percentage of the contribution of the influence of the independent variable, namely the perception of convenience and the perception of usefulness, together has a positive effect on consumer interest in using Mandiri e-money cards by 83.9%. Henceforth, it is suggested that the Company should make it easier to refill balances and Mandiri e-card transactions. -money so that consumers work faster in using the Mandiri e-money card. The company added more machines that support e-money Mandiri cards to increase productivity.

scholarly journals INFLUENCE OF GREEN OPERATIONS STRATEGY ON PERFORMANCE OF TEA PROCESSING FIRMS IN KENYA

2019 ◽  
Vol 4 (1) ◽  
pp. 69
Author(s):  
Kennedy Kyalo Syanda ◽  
Dr. Pamela Getuno
Keyword(s):  
Data Collection ◽  
Product Design ◽  
Reverse Logistics ◽  
Positive Relationship ◽  
Target Population ◽  
Study Data ◽  
Green Product ◽  
Operations Strategy ◽  
Independent Variables ◽  
Green Product Design

Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

scholarly journals Penanganan Endogenitas Modal Sosial Pada Pemodelan Kemiskinan Rumah Tangga di Indonesia Dengan Metode Two Probit Least Square (2PLS)

2019 ◽  
Vol 8 (1) ◽  
pp. 19-26
Author(s):  
Eko Yulian
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Regression Analysis ◽  
Poverty Alleviation ◽  
Least Square ◽  
Probit Regression ◽  
Variable Size ◽  
Factors Affecting ◽  
Independent Variables ◽  
Independent Variable

Kemiskinan merupakan salah satu permasalahan mendasar yang telah menjadi perhatian utama berbagai negara di dunia termasuk Indonesia. Agar pengentasan kemiskinan berjalan efektif tentunya perlu diketahui dan diukur kuat pengaruh faktor-faktor yang mempengaruhi kemiskinan. Faktor-faktor tersebut diantaranya adalah modal SDM dan modal sosial. Untuk mengukur kontribusi faktor-faktor tersebut digunakan analisis regresi. Variabel bebas pada penelitian ini bersifat kategorik biner (1=miskin, 0=tidak) sehingga analisis regresi yang bisa digunakan adalah analisis regresi logistik dan probit. Penelitian ini menggunakan regresi probit untuk mengetahui pengaruh modal sosial dan modal SDM terhadap kemiskinan. Pada analisis regresi probit, asumsi yang harus dipenuhi adalah tidak adanya korelasi antara variabel bebas dan error pada model, apabila hal tersebut tidak terpenuhi maka akan muncul permasalahan yang disebut dengan endogenitas yang mengakibatkan hasil taksiran parameter yang dihasilkan bias. Pada penelitian ini diperoleh informasi bahwa variabel modal sosial merupakan variabel endogen sehingga digunakan metode Two Probit Least Square (2PLS) untuk mengatasi permasalahan endogenitas yang terjadi. Berdasarkan hasil regresi probit dengan menggunakan metode 2PLS diperoleh tiga variabel bebas yang berpengaruh negatif terhadap peluang rumah tangga menjadi miskin, variabel-variabel tersebut adalah modal sosial, lama sekolah dan umur. Sedangkan variabel ukuran rumah tangga berpengaruh positif terhadap peluang rumah tangga menjadi miskin di Indonesia. [Poverty is one of the fundamental problems. It has been a major concern of governments in various countries around the world, including Indonesia. In order for poverty alleviation to be effective, it is necessary to know and measured strongly the influence of factors affecting poverty. These factors include human capital and social capital. To measure the contribution of these factors is used regression analysis. The independent variables in this study are binary categorical (1=poor, 0=no) so that regression analysis that can be used is logistic and probit regression analysis. This research uses probit regression to know the influence of social capital and human capital to poverty. In the probit regression analysis, the assumption that must be met is the absence of correlation between the independent variable and error in the model, if it is not fulfilled then the problem will arise called endogeneity which can lead to bias parameter. In this study obtained information that social capital variable is an endogenous variable, so Two Probit Least Square (2PLS) method used to overcome the problem of endogeneity that happened. Based on the results of probit regression using 2PLS method obtained three independent variables that negatively affect the probability of households to be poor, these variables are social capital, school, and age. While the variable size of households positively affects the probability of households being poor in Indonesia.]

scholarly journals Analisis Faktor – Faktor Yang Mempengaruhi Price Earning Ratio pada Perusahaan Manufaktur yang Listing di BEI

2020 ◽  
Vol 30 (12) ◽  
pp. 3220
Author(s):  
Oktavia Komala Sari ◽  
Lilik Handajani ◽  
Endar Pituringsih
Keyword(s):  
Growth Rate ◽  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Manufacturing Companies ◽  
Equity Ratio ◽  
Independent Variable ◽  
Profit Growth

This study aims to analyze what factors can affect the Price Earning Ratio (PER). Several factors that are considered to be able to influence PER which is used as a variable in this study, namely Return On Asset (ROA), Debt To Equity Ratio (DER), Dividend Pay Out Ratio (DPR), and Profit Growth Rate. . The population used is manufacturing companies listed on the IDX for the 2016-2018 period. With the purposive sampling technique, obtained 13 companies that will be used as research samples. The data used are secondary data. To see the effect of the independent variable on the dependent variable, multiple linear regression analysis tests were carried out which previously carried out the classical assumption test. Based on the results of the study, it is known that partially the results show that ROA, DPR, and Profit Growth Rate respectively have a significant effect on PER while DER has no significant effect on PER. Keywords: PER; ROA; DER; DPR; Profit Growth Rate.

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