scholarly journals ANALYSIS OF THE EFFECT OF LOCATION ON CONSUMER BEHAVIOR SHOPPING (Case study : At Grandlucky Superstore Jakarta)

2021 ◽  
Vol 8 (8) ◽  
pp. 99-104
Author(s):  
Vera Yanti ◽  
Danny Ong ◽  
Devy Sofyanty
Keyword(s):  
Consumer Behaviour ◽  
Shopping Behavior ◽  
Validity And Reliability ◽  
Location Factors ◽  
Shopping Behaviour ◽  
Dependent Variables ◽  
Regression Test ◽  
The Relationship

This Study to determine the effect of lovation on Consumer Shopping Behaviour of Grandlucky Superstore Jakarta. The formulation of the problem in this study is whether there is an influence between the location of consumer shopping behavior at grandlucky Superstore Jakarta . The Population in this study were consumers at Grandlucky Superstore Jakarta , the determination of the number of samples using the slovin formula obtained a sample of 50 people. The variables examined in this study consisted of location factors as independent variables and consumer behaviour as dependent variables. The data used in this study were collected using a questionare that had previously been tesyed for the level of validity and reliability. Analysis of the research can be done using a linear regression formula and test the coefficient of determinant by using the help of SPSS 23 Software the result of the correlation coefficient of 0.859 indicate the relationship between location/ place against consumer behaviour. The determinant test obtained by R Square is 0.737 or 73 %of the variables of consumer behaviour are influenced by location / place variables, while remaining 27 persen is influenced by other factors.the same regression test is obtained by the regression equation Y= 7.105+0.794X, if the location/place coefficient is 0, then the consumer behaviour is 7.105 Keyword : Location/ Place, Consumer Beauviour  

scholarly journals PENGARUH REVIU RKA-K/L OLEH APIP TERHADAP EFISIENSI ALOKASI ANGGARAN KEMENTERIAN AGAMA

2019 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Edy Effendi ◽  
Muhammad Imron
Keyword(s):  
Linear Regression ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Dependent Variables ◽  
Before And After ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

Research on the role of the APIP review of the Ministry/agency Work Plan and Budget document to determine the impact on the efficiency of ministry/agency spending (case study at the Ministry of Religion). The method used in this study uses simple linear regression with dummy. The use of linear regression is used to examine the relationship between independent variables (certain types of expenditure) and dependent variables (total expenditure). Whereas, dummy is used to find out before and after the APIP review is done. Throughout the author's search, this research has never been done. Based on the results of linear regression obtained, the APIP review significantly had a positive effect on official travel expenditure and honorarium but did not significantly affect building spending and equipment. Abstrak   Penelitian atas peran reviu APIP atas dokumen Rencana Kerja dan Anggaran Kementerian Negara/Lembaga untuk mengetahui dampaknya terhadap efisiensi belanja kementerian/lembaga (studi kasus pada Kementerian Agama). Metode yang digunakan dalam penelitian ini menggunakan regresi linier sederhana dengan dummy. Penggunaan regresi liner digunakan untuk meneliti hubungan antara variable independen (jenis belanja tertentu) dan variable dependen (total belanja). Sedangkan, dummy digunakan untuk mengetahui sebelum dan setelah reviu APIP dilakukan. Sepanjang penelusuran penulis, penelitian ini belum pernah dilakukan. Berdasarkan hasil regresi linier diperoleh, reviu APIP signifikan berpengaruh positif terhadap  belanja perjalanan dinas dan honorarium tetapi tidak signifikan berbengaruh terhadap belanja gedung dan alat.

scholarly journals KETERKAITAN PERTUMBUHAN PENJUALAN PERPUTARAN PERSEDIAAN, PERPUTARAN PIUTANG, DAN PERPUTARAN KAS TERHADAP PROFITABILITAS PERUSAHAAN LQ 45 DI BURSA EFEK INDONESIA

2021 ◽  
Vol 5 (2) ◽  
pp. 781
Author(s):  
Sugiyarmasto Sugiyarmasto ◽  
Erlina Setyaningrum
Keyword(s):  
Stock Exchange ◽  
Financial Statements ◽  
Sales Growth ◽  
Analysis Method ◽  
Independent Variables ◽  
Dependent Variables ◽  
Regression Test ◽  
Inventory Turnover ◽  
Relationship Of ◽  
The Relationship

The research aims to determine and provide empirical evidence of , sales growth inventory turnover, receivables Turnover, and significant cash turnover on profitability in LQ 45 Company on Indonesia Stock Exchange year 2016-2018. The samples in this study used purposive sampling so obtained 21 company samples from 45 LQ 45 company population listed on the Indonesia Stock Exchange, with 63 observations of financial statements (21 companies x 3 years of financial statements warning). Dependent variables in this study, namely profitability. While independent variables in this study, sales growth namely inventory turnover, turnover receivables, , cash turnover. The data analysis method used is a type of multiple regression test to test the relationship of independent variables with the dependents The results of the research hypothesis testing proved that the turnover of receivables, and cash turnover significantly positively affect profitability. And sales growth has a negative and significant effect on profitability. While inventory turnover has a negative and insignificant effect on profitability in LQ 45 company in the Indonesia Keywords: sales growth,inventory turnover, turnover receivable, cash turnover,profitability

Demographic determinants of electronic commerce (EC) adoption by SMEs

2015 ◽  
Vol 28 (3) ◽  
pp. 326-345 ◽  
Author(s):  
Hart Okorie Awa ◽  
Don Monday Baridam ◽  
Barinedum Michael Nwibere
Keyword(s):  
Geographical Location ◽  
Factor Loading ◽  
Hierarchical Regression ◽  
Future Research ◽  
Top Management ◽  
Validity And Reliability ◽  
Location Factors ◽  
Content Type ◽  
Demographic Composition ◽  
The Relationship

Purpose – Research on the demographic characteristics of top management team (TMT) on e-commerce adoption has really advanced. Although some of such studies factored location factors as e-commerce adoption drivers, rare attempts have been made to unravel if the differences in the demographic composition of TMT and the rate of adoption may be explained by the differences in the firm’s geographical location. Therefore, the purpose of this paper is to bridge this knowledge gap by proposing a framework that conceives and measures geographical location as a contextual variable between e-commerce adoption and TMT composition. Design/methodology/approach – Data were generated from the opinions of owners/managers of 226 SMEs drawn purposefully from registered SMEs in five industries located in three geo-political zones of Nigeria. Two cities (a state capital and a commercial nerve centre) were studied and a four-step hierarchical regression (spanning factor-loading) was used to test the hypotheses. Findings – Evidence from the study shows that the hypothesized relationships between demographic factors and e-commerce adoption (main/direct effects) were statistically significant (supporting H1-H4). The two moderators (physical infrastructures and industrial specialization) that explained location factors were equally statistically significant in moderating the relationship between the demographic composition of TMT and e-commerce adoption. Research limitations/implications – Sampling the opinions of SMEs in some industries of three geo-political zones of Nigeria limits the power of generalization. Therefore, extended data and measures are required to replicate the study in order to build external validity and reliability, and possibly theories. Further, some errors seem unavoidable in the course of converting the data through SPSS procedure just as all the measures used appear subjective and prone to common method bias. Other demographic and location factors not captured in the study may be handled by future studies. Originality/value – The work will be of benefit to the academia and practitioners in terms of showing how location factors dictate the relationship between the demographic composition of top management and e-commerce adoption. The paper raises pointers that stimulate future research and advised policy-makers on even or near-even distribution of infrastructural facilities.

scholarly journals Can climate help fighting COVID-19 trauma? A case study of Maricopa County, Arizona, USA

2021 ◽  
pp. 105-116
Keyword(s):  
Linear Regression ◽  
Solar Radiation ◽  
The Other ◽  
Climatic Parameters ◽  
Factors Affecting ◽  
Regression Test ◽  
Spearman Correlation Test ◽  
Maximum Minimum

Introduction: Since the emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, the disease has spread rapidly throughout the world and became a traumatic stressor. Identification of the factors affecting the spread of the disease makes it possible to prevent its further propagation and save more people in similar situations. Environmental and climatic parameters are among the factors affecting the prevalence of diseases. Determination of environmental effects on Coronavirus disease (COVID-19) prevalence can help develop policies to suppress the spread. Methods: This study investigated the effect of climatic parameters on the spread of COVID-19 disease in County Maricopa from March 11, 2020, to November 30, 2020. These parameters include maximum, minimum, and mean daily temperature as well as maximum, minimum, and mean daily humidity, wind speed, solar radiation, and Air Quality Index (AQI) of particulate matter10 (PM10), PM2.5, and O3. A Shapiro-Wilk test was used to evaluate the normality of variables and the Spearman correlation test was used to determine the correlation between parameters and daily COVID-19 cases. A simple linear regression was applied on parameters that had significant Spearman’sranked correlation with the daily COVID-19 cases to determine their contribution to the pandemic. Results: The present study showed that the maximum, minimum, and mean temperature parameters and PM10 and PM2.5 particles had a positive and significant correlation (P<0.01) with the prevalence of COVID-19 disease. The effect of PM10 particles was higher than the other parameters (0.488, P<0.01). The parameters of maximum, minimum, and mean relative humidity along with solar radiation and O3 AQI had a significant and negative correlation with the development of COVID-19 disease (P<0.01). The effect of maximum humidity was higher than that of the other parameters (-0.364, P<0.01). A linear regression test showed that O3 (β=-15.16, P<0.001) and Tmean (β=18.47, P<0.01) significantly predicted daily COVID-19 cases. Conclusion: It can be concluded that climatic parameters can affect the COVID-19 pandemic and should be addressed.

scholarly journals Pengaruh Harga Terhadap Keputusan Pembelian Sepeda Motor Honda Vario Pada PT. Tridjaya Motor Manado

2019 ◽  
Vol 9 (1) ◽  
pp. 28
Author(s):  
Sondakh Kelvin Laurens ◽  
Johnny A. F. Kalangi ◽  
Olivia F. C. Walangitan
Keyword(s):  
Quantitative Research ◽  
Coefficient Of Determination ◽  
Purchase Decision ◽  
Test Results ◽  
Purchasing Decisions ◽  
Validity And Reliability ◽  
Regression Test ◽  
Data Validity ◽  
Questionnaire Method

The purpose of this study is to know the price influence on the decision of Honda Vario Motor in PT. Tridjaya Motor Manado. By looking at this current competition sales are tight motorcycles. This type of research is quantitative research and method of collecting data using questionnaire method. And sampling method using purposive sampling. Data from the questionnaire method results are used to test the outcome of validity and reliability. Data validity test results are obtained by all valid question items. Data reliability test results are obtained by all reliable question items. Simple regression test results so that the coefficient is a positive value. The coefficient of determination of the determination test shows R Square to understand how large the free variables can influence the bound variables as well as to measure the magnitude X variable contributions to the variation (up downs) of the variable Y. And the result of determining coefficient of determination suggests that purchasing decisions are influenced by price. The purchase decision has a positive and significant effect on the price of Honda Vario which has been good to increase the consumer purchase decision of PT. Tridjaya Motor Manado.

scholarly journals SEVERAL FACTORS THAT AFFECT CATTLE ROWING PATTERNS AS WELL AS THEIR CONTRIBUTION TO HOUSEHOLD INCOME (CASE STUDY OF LIVESTOCK FARMERS IN TAEBENU SUBDISTRICT, KUPANG REGENCY, NTT)

2021 ◽  
Vol 21 (3) ◽  
pp. 175-184
Author(s):  
Salden E Nifu ◽  
Djoko Koestiono ◽  
Hery Toiba
Keyword(s):  
Household Income ◽  
Sampling Method ◽  
Logistics Regression ◽  
Group I ◽  
Average Household Income ◽  
Dependent Variables ◽  
Livestock Farmers ◽  
Privately Owned

This study aims to analyze several factors that affect cattle rowing patterns as well as their costs, receipts and contributions to the household income of livestock farmers in Taebenu Subdistrict, Kupang Regency, NTT. The research sample of 100 people was grouped into two groups: group I (50 row cattle farmers) and group II (50 non-row cattle farmers). Determination of the number of farmer samples follows slovin formula with random sampling method. Data on factors that influence the decisions of farmers' households are analyzed with binary logistics regression analysis. Meanwhile, the income of cattle farmers and non-rowdy cattle was analyzed by household income analysis. The results showed that the analysis of binary logistics regression using simultaneous tests showed that independent variables (X) namely X1, X2, X3, X4, X5, X6 significantly influenced dependent variables (Y). The average household income of cattle farmers rowdy pattern is Rp 13,327,080 with the contribution of income from the business of cattle rowing by 21.93%, while the average household income of non-rowdy cattle farmers (privately owned) Rp 12,820,488 with the contribution of income from non-row cattle businesses amounted to 22.93%. From the results of household income shows the household income of cattle farmers row pattern higher than the household income of non-row cattle farmers (privately owned).

scholarly journals The key role of underlying theories for scientific explanations. A darwinian case study

2020 ◽  
Vol 24 (3) ◽  
pp. 617-632
Author(s):  
Daniel Blanco ◽  
Ariel Roffé ◽  
Santiago Ginnobili
Keyword(s):  
Common Ancestry ◽  
Circular Reasoning ◽  
Explanatory Theory ◽  
Darwinian Theory ◽  
Underlying Theory ◽  
The Relationship ◽  
Structuralist View Of Theories

A given explanatory theory T falls into circular reasoning if the only way to determine its explanandum is through the application of T. To find an (often previous) underlying theory T′ that determines T′s explanandum helps us save T from this accusation of circularity. We follow the structuralist view of theories in presenting and dealing with this issue, by applying it to particular theories. More specifically, we focus on the relationship between the Darwinian theory of common ancestry and the determination of homologies.

scholarly journals The Determination of Performance Measures by Using a Balanced Scorecard Framework

2019 ◽  
Vol 11 (1) ◽  
pp. 43-56
Author(s):  
Irem Kefe
Keyword(s):  
Balanced Scorecard ◽  
Financial Measures ◽  
The Balanced Scorecard ◽  
Manufacturing Company ◽  
Strategy Map ◽  
Owned Company ◽  
The Relationship ◽  
A Company

Abstract The aim of this study was to determine the contributions of the balanced scorecard (BSC) methods to identify the relationship between the objectives and activities and examine how the BSC should be formed in a manufacturing company. The BSC framework was examined via a case study in a yarn manufacturing company. The activities to be carried out by the company to achieve its objectives and how the appropriate measures are determined in evaluating the contribution of the activities to the achievement of objectives are explained under the BSC approach. The BSC implementation and adaptation have facilitated in a family owned company because of its fast decision-making process. Objectives are made clear in accordance with the company’s strategy and causal relationship between objectives and activities are linked by the strategy map. The BSC implementation shows that financial measures are not enough to evaluate the effects of all the activities on the objectives in a company. The cooperation between departments in the company and the efficiency of corporation meetings increases. The meetings have become more result-oriented due to clarifying objectives and responsibility of individual levels.

Who are the farm shop buyers? A case study in Naumburg, Germany

2018 ◽  
Vol 120 (2) ◽  
pp. 255-268
Author(s):  
Miroslava Bavorova ◽  
Diana Traikova ◽  
Juliane Doms
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Theory Of Planned Behaviour ◽  
Consumer Behaviour ◽  
Structural Equation Models ◽  
Content Type ◽  
Shopping Behaviour ◽  
Observed Behaviour ◽  
Structured Questionnaire

Purpose The purpose of this paper is to examine the factors that influence consumers’ shopping behaviour from farm shops. Design/methodology/approach The study is based on the theory of planned behaviour (TPB). Data were gathered in 2015 and 2016 via a quantitative written survey of 135 pedestrians in a structured questionnaire in Naumburg, East Germany. The authors use the variance-based, partial least squares subfamily of structural equation models for the analysis, allowing the authors to investigate the causes of the formation of attitudes, social norms and perceived behavioural control (PBC) related to buying from farm shops. Findings Seen through the TPB prism, the most powerful explanatory construct in the model is PBC. This is followed by favourable attitudes towards buying at the farm gate. Interestingly, the injunctive norms construct is not significant, while the descriptive norms construct is. This means that the observed behaviour of relevant peers is more strongly linked to buying at the farm gate than what significant others want respondents to do. Originality/value Farm shops are one of the innovative distribution channels used by farmers to sell regional products directly to consumers. Studies that analyse the factors that have an effect on consumer behaviour when buying food from farm shops are very scarce. This paper fills this gap and the findings have implications for communications to consumers and labelling.

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