scholarly journals Faktor Keberhasilan Usaha UMKM Jajanan Asing Kaki Lima di Kota Serang

2018 ◽  
Vol 12 (2) ◽  
pp. 187
Author(s):  
Fauzan Anggi Prasatya ◽  
Tjahja Muhandri ◽  
Eko Ruddy Cahyadi
Keyword(s):  
Logistic Regression ◽  
Analytical Method ◽  
Success Factors ◽  
Sampling Method ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
Success Factor ◽  
Street Food ◽  
Product Innovations ◽  
Start Up

The competition of food business is currently very strict and diverse product innovations. To achieve the market share and win the business competition needs to know the affecting success factors. This study has two main objectives that include the following to: (1) mapping the characteristics of non traditional street food entrepreneur in Serang City, (2) identify the most affected success factor of non traditional street food business. Sampling method was used by purposive sampling 100 respondents. The analytical method used descriptive analysis and binary logistic regression. This research showed most of successful vendor are woman, because they are very conscientious than mens and tend to avoid risk. Affecting success factors on non traditional street food business were price of the product, business name and start up capital.

scholarly journals Critical Success Factors in The Infusion of Instructional Technologies for Open Learning in Development Settings:

2003 ◽  
Vol 4 (2) ◽  
Author(s):  
Philip M. Uys
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Descriptive Analysis ◽  
Complex Nature ◽  
Success Factor ◽  
Instructional Technologies ◽  
Open Learning ◽  
University Of Botswana ◽  
Critical Success ◽  
Developing Settings

<P class=abstract>This article seeks to identify critical success factors for the appropriate infusion of instructional technologies to advance open learning in higher education within developing settings. Describe here is a descriptive account of a two-year case study based on the author’s personal analysis of, and reflection on, factors that contributed to the infusion of instructional technologies to advance open learning at the University of Botswana. The first critical success factors identified in this article include: a clear vision, support of committed leadership, and dedicated personnel/ change agents to ensure successful project implementation. The second critical success factor identified was the need for all involved to fully appreciate and understand the systemic nature of the infusion of instructional technologies for open learning purposes, as well as garner the commitment of strategic partners working in related systems. Finally highlighted, are the requirements needed to address the complex nature of the infusion of instructional technologies into the University’s educational offerings. It is hoped that those involved in education in developing countries, and particularly those desirous of advancing open learning through the use of instructional technologies, will find this descriptive analysis useful. Indeed, those of us involved in implementing instructional technologies in developing nations are still in the initial stages of this exciting yet challenging endeavour. </P> <P><B>Key terms:</B> infusion, open learning, instructional technologies, critical success factors, developing settings, Botswana, LASO model</P>

The impact of intellectual capital on start-up expectations

2016 ◽  
Vol 17 (4) ◽  
pp. 654-674 ◽  
Author(s):  
Diego Matricano
Keyword(s):  
Logistic Regression ◽  
Intellectual Capital ◽  
Regression Models ◽  
Empirical Studies ◽  
Binary Logistic Regression ◽  
Research Trend ◽  
Content Type ◽  
Logistic Regression Models ◽  
Start Up ◽  
The Impact

Purpose According to an emerging research trend, which seeks to apply the concept of intellectual capital (IC) to the field of entrepreneurship, the purpose of this paper is to test whether IC can affect the start-up expectations of aspiring entrepreneurs. Design/methodology/approach Binary logistic regression models, based on empirical data derived from the Global Entrepreneurship Monitor website and referring to Italy over the years 2005-2010, are used to test the influence of IC (comprising human, structural and relational capital) on start-up expectations. Findings Binary logistic regression models reveal robust results. Human, structural and relational capitals affect start-up expectations in Italy. Only in 2010 did structural capital fail to do so. Research limitations/implications This study has three main limitations. The first concerns the need for further research to confirm the influence of IC on start-up expectations. The second concerns in-depth, more exhaustive analyses that cannot be carried out due to the use of second- hand data. The third deals with the reference only to Italy, over a limited time-span (2005-2010). Originality/value To the best knowledge of the author, this is one of the first empirical studies that investigate whether IC can affect start-up expectations. Results revealed by the regression models might steer other scholars’ interest toward this research path (linking IC and entrepreneurship) that has not yet been properly considered.

scholarly journals Success Factors of Radical Breakthgrough ICT Projects – Comparison of Hardware and Software Cases

2018 ◽  
Vol 6 (1) ◽  
pp. 40-53 ◽  
Author(s):  
Jari Sarja
Keyword(s):  
Product Development ◽  
Success Factors ◽  
Success Factor ◽  
Development Projects ◽  
Start Up ◽  
Software Product ◽  
Different Types ◽  
Ict Industry ◽  
Development Risks ◽  
Success Factor Research

Because technology pushed product development projects are risky and failure rates are high, the success factors are valuable knowledge for the management of development-intensive firms. This paper provides a comparison of success factor weighting between hardware and software product development projects in the ICT industry improving existing success factor research. We analyze qualitatively interview data from nine intentionally selected start-up firms and identify which success factors were clearly supported by HW and SW firms, and in which area different types of firms could benchmark each other. The practical aim of this paper is that it helps management to recognize the real actions needed to reduce product development risks in HW and SW projects.

scholarly journals ANALISIS PENGARUH CITRA MEREK DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN PRODUK SMARTPHONE OPPO

2020 ◽  
Vol 23 (1) ◽  
pp. 1-12
Author(s):  
Dian Rahmawaty ◽  
Adek Rilman Nur
Keyword(s):  
Logistic Regression ◽  
Product Quality ◽  
Random Sampling ◽  
Brand Image ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
Telecommunications Industry ◽  
Corporate Image ◽  
Decision Variable ◽  
Purchasing Decision

The study was backed by the telecommunications industry with a rapid growing became a mirror of tight and the high need for information which is easily accessible by the public. This research aims to know the influence of the brand image and product quality of Oppo smartphone product purchases. This research was conducted against students STIE Haji Agus Salim Bukittinggi majoring in management. After a review of the literature, and the preparation of the hypothesis, the data collected through questionnaire method deployed to 77 people respondents by using random sampling method. Analysis of the method used is descriptive analysis with logistic regression with binary using data processing using SPSS 16.0 for windows ver. Then conducted the analysis with the data using the test of validity, reliability, descriptive variable analysis (TCR), binary logistic regression test, wald test, ekspetasi test, G and nagelkerke so obtained by the equation Y-9.689 0, 292X1 0, 169X2. The results showed that the brand image and product quality positively and significantly to the influential buying decision either by partial and simultaneous. The most influential variables on the purchasing decision is a brand image with a percentage of that factor and 0.292 least affect the purchasing decision variable is the corporate image is by percentage of 0.169. Penelitian ini dilatarbelakangi dengan  tumbuh pesatnya industri telekomunikasi yang menjadi cermin dari ketat dan tingginya kebutuhan akan  infomasi yang mudah diakses oleh masyarakat. Penelitian ini bertujuan untuk mengetahui pengaruh citra merek dan kualitas produk terhadap keputusan pembelian produk smartphone Oppo. Penelitian ini dilakukan terhadap mahasiswa STIE Haji Agus Salim Bukittinggi Jurusan Manajemen. Setelah dilakukan tinjauan pustaka, dan penyusunan hipotesis, data dikumpulkan melalui metode kuesioner yang disebar kepada 77 orang responden dengan menggunakan metode random sampling. Metode analisis  yang digunakan  adalah  analisis  deskriptif dengan menggunakan binary logistic regression dengan  pengolahan  data  menggunakan  SPSS  ver.16.0  for  windows. Kemudian dilakukan analisis  dengan  data  yang  ada  menggunakan  uji  validitas,  reliabilitas,  analisis deskriptif variabel (TCR), binary logistic regression , uji wald, uji G, uji ekspetasi dan nagelkerke sehingga didapatkan persamaan Y = -9,689+0,292X1+0,169X2. Hasil penelitian menunjukkan bahwa citra merek dan kualitas produk berpengaruh positif dan signifikan terhadap keputusan pembelian baik secara parsial dan simultan. Variabel  yang  paling  berpengaruh besar terhadap keputusan pembelian adalah citra merek dengan presentase sebesar 0,292 dan faktor yang paling kecil mempengaruhi keputusan pembelian adalah variabel kualitas produk adalah dengan presentase sebesar 0,169.

scholarly journals ANALISIS KURVA ROC PADA MODEL LOGIT DALAM PEMODELAN DETERMINAN LANSIA BEKERJA DI KAWASAN TIMUR INDONESIA

2020 ◽  
Vol 4 (1) ◽  
pp. 116-135
Author(s):  
Muhammad Rizqi Fachrian Nur ◽  
Siskarossa Ika Oktora
Keyword(s):  
Logistic Regression ◽  
Health Insurance ◽  
Elderly Population ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Family Status ◽  
Explanatory Variables ◽  
The Status ◽  
Elementary School Education

Binary logistic regression is used for probability modeling or to predict binary response variables (Success / Failure) from one or more explanatory variables that are continuous or categorical. In carrying out this analysis, there are several ways to test the suitability of the resulting model, and one of them is the area under the ROC curve. The application of the analysis method in this study is the determinant of the elderly population to work. The population of the elderly in Indonesia is increasing every year. Many views that the elderly depend on other residents, especially in terms of the economy. However, if seen from the percentage of elderly working in Indonesia, it is increasing, including the elderly in KTI. The purpose of this study is to determine the characteristics of the elderly in KTI, know the factors that influence the decision of the elderly population to work in KTI and find out the tendency of variables that affect the decision of the elderly to work in KTI. The data used are raw data from Badan Pusat Statistik (BPS) was Survei Sosial Ekonomi Nasional (Susenas) Kor March 2018. This study using descriptive analysis methods and binary logistic regression. The results are that the variables that significantly influence the decisions of the elderly to work are residence, gender, age, education, family status, marital status, health complaints, and health insurance. Elderly who has characteristics residing in rural, male sex, classified as young elderly (60-69 years old), has the highest level of elementary school education, has the status of KRT in his family, is married, has no complaints health, and not having health insurance will have a greater tendency to decide to work.  

scholarly journals Preferensi Usaha Kecil dan Mikro di Pasar Baru Cikarang Dalam Memilih Akses Pembiayaan

2014 ◽  
Vol 6 (1) ◽  
pp. 1-10
Author(s):  
Siti Aisyah
Keyword(s):  
Logistic Regression ◽  
Financial Institution ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
Business Development ◽  
Small Enterprise ◽  
Medium Enterprise

Preference of Micro and Small Enterprise in Pasar Baru Cikarang In Selecting Financing Access. The aim of this research is to measure the micro and small entreprise preference in Pasar Baru Cikarang in selecting of conventional or shariah financing access with using 100 responden. The Method that used in this research is binary logistic regression and descriptive analysis. There are two result of this research, first, the factor that influence the micro and small enterprise preference are the lower interest/yield, diverse product, financing plafond, and presence a guidance of business development. Second, the micro and small medium enterprise in Pasar Baru Cikarang is more preferrable access in conventional financial institution.  DOI: 10.15408/aiq.v6i1.1365

scholarly journals IMPLEMENTASI DAN FAKTOR-FAKTOR YANG MEMENGARUHI PETERNAK DALAM MEMILIH BERUSAHA TERNAK AYAM BROILER MELALUI POLA KEMITRAAN INTI PLASMA DI KOTA KENDARI

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Muhammad Rudiawan ◽  
Bahari Bahari ◽  
Muh. Arief Dirgantoro
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Broiler Chicken ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
T Test ◽  
Binary Logistic Regression Analysis ◽  
High Category ◽  
Maintenance Cycle

This study aims to analyzing the implementation of broiler chicken business contracts, analyzing the factors that influence breeders to choose broiler breeding businesses with a partnership pattern, and comparing the finances between broiler business farmers in partnership with independent pattern broiler chicken businesses Kendari by using 66 respondents determined through the census method. Data is estimated by; descriptive analysis, binary logistic regression analysis and analysis of independent sample t test. The results showed that: the level of implementation of chicken business contracts in Kendari City depends on the high category, which means that the implementation of the contract has been going well, but some attributes still need to be improved, including three variables related to farmers to choose a broiler chicken business through a partnership pattern, namely; the level of income of independent farmers is higher than the level of income of farmers in the partnership pattern per maintenance cycle. However, the level of income of farmers per year from the two groups was not significantly different.Keywords: breeders; broilers chickens; partnership patterns; nucleus-plasma

scholarly journals Deciphering Food Hawkerpreneurship: Challenges and success factors in franchising street food businesses in Malaysia

2020 ◽  
Vol 20 (4) ◽  
pp. 493-509
Author(s):  
Ka Leong Chong ◽  
Marcus Lee Stephenson
Keyword(s):  
Capital Investment ◽  
Critical Success Factors ◽  
Success Factors ◽  
Traditional Food ◽  
Structured Interviews ◽  
Street Food ◽  
Critical Success ◽  
Start Up ◽  
Support Mechanisms ◽  
Young Entrepreneurs

This study investigates the challenges and identifies the critical success factors in transforming traditional hawker food into a franchisable business, principally within the context of Malaysia. This study aims to provide guidelines that could support the process of enterprising traditional street food businesses, especially to assist the mobilization and promotion of hawkerpreneurship for existing traditional food hawkers and future adopters. A total of five hawkerpreneurs and four traditional hawkers were qualitatively assessed through semi-structured interviews. As a result, four critical challenges that both hawkerpreneurs and traditional hawkers encountered were identified, namely: (1) exploring the unknown (2) high capital investment for total ‘make-over’ (3) lack of knowledge in brand repositioning and (4) resistance to automation and standardization, particularly as a way to retain authenticity. By considering these concerns, young entrepreneurs and financial investors can assess the potentiality and feasibility of hawker food, and identify areas to focus on in running a successful traditional street food business. The results of this study could further assist in developing the support mechanisms and start-up strategies that encourage the adoption of hawker food entrepreneurship among Malaysians.

scholarly journals Perilaku Manajemen Laba Berdasarkan Siklus Hidup Perusahaan

2019 ◽  
Vol 1 (3) ◽  
pp. 1307-1321
Author(s):  
Chyntya Lisnawati ◽  
Nurzi Sebrina
Keyword(s):  
Life Cycle ◽  
Earnings Management ◽  
Sampling Method ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Earning Management ◽  
Manufacturing Companies ◽  
Real Earning ◽  
Start Up

This study aims to examine earnings management behavior is based on the company life cycle. This study is classified as comparative research. The population in this study are manufacturing companies listed on the Indonesian Stock Exchange period of 2013 to 2017. By using purposive sampling method, there were 61 companies as the research’s sample. Earning managements is measured through accrual earnings management and real earning management. Company life cycle is measured using the company cash flow. The type of data used is secondary data obtained from www.idx.co.id and used is descriptive analysis. The results of this study indicate that:1) company in the start up, growth, mature and decline stages tend to use real earning management, 2)there is no decrease in earnings management as the life cycle changes from start up, growth, mature and decline stages

scholarly journals PERSEPSI PETANI MENABUNG DI BANK RAKYAT INDONESIA UNIT SONDER

2019 ◽  
Vol 15 (2) ◽  
pp. 299
Author(s):  
Mario Arron Sumolang ◽  
Grace Adonia Josefina Rumagit ◽  
Lyndon Reinhard Jacob Pangemanan
Keyword(s):  
Analytical Method ◽  
Sampling Method ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Likert Scale ◽  
Primary Data ◽  
Scale Analysis ◽  
Analysis Method ◽  
Purposive Sampling

The purpose of this study was to determine the perceptions of farmers saving at Bank Rakyat Indonesia Sonder Unit. This research has been carried out for three months, namely from April 2019 to June of 2019 starting from preparation to preparation of research reports. The sampling method in this study was intentional (purposive sampling) The data used in this study were primary and secondary data. Primary data is data obtained directly from 79 farmers who save at Bank Rakyat Indonesia Unit Sonder using a questionnaire. Secondary data is data obtained from PT. Bank Rakyat Indonesia Unit Sonder, such as data on consumer saving farmers. The analytical method used in this study is descriptive analysis method and uses Likert scale analysis. The results of this study indicate that the perception of farmers saving at Bank Rakyat Indonesia Unit Sonder belongs to the Satisfied category. .+eprm*

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