Life Cycle Development of Successful Women-owned Enterprises

2020 ◽  
Vol 3 (4) ◽  
pp. 142-152
Author(s):  
Mohammad Waliul Hasanat ◽  
Kamna Anum ◽  
Ashikul Hoque ◽  
Mahmud Hamid ◽  
Sandy Francis Peris ◽  
...  
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Research Work ◽  
Primary Data ◽  
Small Scale ◽  
Data Collection Process ◽  
Theoretical Finding ◽  
Successful Women ◽  
Two Phases ◽  
Life Cycle Development

In developing countries, the role of women in the business sector is continuously improving. As a result, female enterprises have also been encouraged in Pakistan. This study is based on life cycle development phases from which women-owned enterprises have to go through in order to become successful. As a primary data source, face-to-face interviews with owners of successful women-owned enterprises were preferred. The data collection process was divided into two phases i.e. Phase-I and Phase-II. After data collection, qualitative analysis has been performed using NVIVO. Findings provide both generic and specific factors involved in life cycle development of women-owned enterprises. This study provides a detailed view of life cycle development model followed by successful women enterprises. The outcome of this research work is a theoretical finding which can be utilized by entrepreneurs owning small scale enterprises to improve their level of performance. Findings can also be helpful for potentially talented women interested in setting up their own business.

scholarly journals IS BEHAVIOR FINANCE AFFECTED BY INCOME, LEARNING FINANCE AND LIFESTYLE?

2021 ◽  
pp. 29-40
Author(s):  
Aulia Rahman ◽  
Asep Risman
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Financial Literacy ◽  
Financial Behavior ◽  
Primary Data ◽  
Significant Positive Effect ◽  
Analysis Technique ◽  
Data Collection Process ◽  
Behavior Finance ◽  
Positive Effect

The purpose of this study is to determine whether there is a relationship between financial behavior based on income, financial literacy and a personal lifestyle. This study uses primary data through a data collection process by distributing questionnaires online (using Google Forms) among the total of 50 respondents. The data analysis technique used here is SPSS, version 25. The results of this study indicate that there is a significant positive effect between financial literacy variables and financial behavior. Meanwhile, income and lifestyle variables seem to have no influence on financial behavior.

scholarly journals Capacity Building for collecting primary data through Crowdsourcing - An Example of Disaster affected Uttarakhand State (India)

2014 ◽  
Vol XL-8 ◽  
pp. 1249-1252 ◽  
Author(s):  
Y. V. N. Krishna Murthy ◽  
P. L. N. Raju ◽  
S. K. Srivastav ◽  
P. Kumar ◽  
D. Mitra ◽  
...  
Keyword(s):  
Data Collection ◽  
Capacity Building ◽  
Primary Data ◽  
Restoration Planning ◽  
Local Site ◽  
Long Run ◽  
Viable Solution ◽  
Data Collection Process ◽  
Glacial Lake Outburst Flood ◽  
The Himalaya

Uttarakhand State of India suffered a widespread devastation in June 2013 due to floods caused by excessive rain in the upper reaches of the Himalaya, glacial lake outburst flood (GLOF) and landslides. Restoration process in this mountainous State calls for scientifically sound planning so that the vulnerabilities and risks to such natural hazards are minimised and developmental processes are sustainable in long run. Towards this, an understanding of the patterns and major controls of damage of the recent disaster is a key requirement which can be achieved only if the primary data on locations and types of damage along with other local site conditions are available. Considering widespread damage, tough nature of terrain and the need for collecting the primary data on damage in shortest possible time, crowdsourcing approach was considered to be the most viable solution. Accordingly, a multiinstitutional initiative called "Map the Neighbourhood in Uttarakhand" (MANU) was conceptualised with the main objective of collecting primary data on damage through participation of local people (mainly students) using state-of-art tools and technologies of data collection and a mechanism to integrate the same with Bhuvan geo-portal (<a href="http://www.bhuvan.nrsc.gov.in" target="_blank">www.bhuvan.nrsc.gov.in</a>) in near real-time. Geospatial analysis of crowd-sourced points with different themes has been carried out subsequently for providing inputs to restoration planning and for future developmental activities. The present paper highlights the capacity building aspect in enabling the data collection process using crowdsourcing technology.

scholarly journals Investigating the Concept of Creative Disposition & Decision Making Styles

2021 ◽  
Vol 10 (2) ◽  
pp. 12-25
Author(s):  
SAYMA ZIA ◽  
ISMAT FATIMA ◽  
SANA AZHER
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Personal Experience ◽  
Sampling Technique ◽  
Target Population ◽  
Primary Data ◽  
Data Collection Process ◽  
Decision Making Styles ◽  
Linear Regression Technique ◽  
The Impact

This purpose of this study aims to determine the impact of decision making styles in organizations operating in Karachi. It focuses on exploring different components of decision making styles and investigates the concept of creative disposition. Moreover, it determines the correlation of different components of decision making styles to creative disposition of employees. It identifies necessary changes in decision making styles to increase its impact on creative disposition. Explanatory technique is adopted to determine the impact of logic, facts and personal experiences in decision making style on creative disposition; followed by primary data collection. Quantitative paradigms are used to perform the analysis. Target population of current study comprises of employees working in organizations of Karachi. Sampling technique used is non-probability convenient sampling. Sample size is of 384. Survey technique has been adopted for data collection process. Instrument used is questionnaire for data collection multiple linear regression technique has been used for analysis. The results of the study revealed that there is a significant role of logic based decision making style, facts based decision making style and personal experience based decision making style to determine positive creative disposition shows that it has a significant impact on it. This study successfully explained importance of decision making styles in developing creative disposition in organizations. Keywords: Logic Based Decision Making Style, Facts Based Decision Making Style, Personal Experience Based Decision Making Style, Creative Disposition.

scholarly journals SILK PRODUCTS AND MARKETING STRATEGY OF A WEAVING INDUSTRY IN ASSAM

2020 ◽  
Vol 8 (2) ◽  
pp. 91-101
Author(s):  
PARMITA KHAKHLARI
Keyword(s):  
Research Work ◽  
Secondary Data ◽  
Global Market ◽  
Primary Data ◽  
Small Scale ◽  
Exploratory Research ◽  
Interview Schedule ◽  
Policies And Programs ◽  
Small Scale Industries ◽  
Insight Into

Purpose of the study: The present paper attempts to trace the development of the weaving industry in Sualkuchi in the Kamrup district of Assam and tries to understand the organizational structure of the Sualkuchi weaving Industry. The paper also tries to identify the avenues of silk products and their marketing. Methodology: In the present research work, an exploratory research design has been adopted. For the primary data, the respondents were selected using purposive sampling and were administered with an interview schedule. Secondary data are collected from Government reports, books, journals and so on. Main Findings: The products produced are mainly used for commercial purposes only. As the handloom industry of Sualkuchi is not thoroughly organized and marketing agencies are diverse, the majority of the weavers rely on middlemen to sell their finished products. A sense of professionalism among the weavers and artisans, creation of facilities for easy and quick marketing of hand-woven products is necessary. The unusual sudden price rise in yarn brings untold misery to the industry in the area as production is against advance orders at a predetermined price. There is a need to innovate designs to capture the global market. Applications: This research work can be used by students, academicians, policymakers and also government agencies for the upliftment and development of small scale industries. Novelty/Originality: The study provides new insight into the problem which might help in formulating policies and programs for the development of this industry, which is technically not always possible. Sociological insights must be made to the existing program for development.

Using the isolation forest algorithm to solve the problem of detecting anomalies in the operation of microprocessor plastic cards

2020 ◽  
pp. 26-30
Author(s):  
A.A. Ananyev
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Anomaly Detection ◽  
Data Science ◽  
Sensor Failure ◽  
Unexpected Events ◽  
Signal Structure ◽  
Data Collection Process ◽  
Isolation Forest ◽  
Artificial Origin

Anomaly detection is an important issue in data science. The purpose of detection is to determine the system and stochastic violations of the signal structure, the regularity of repetition of characteristic sites, as well as the localization of artifacts of natural or artificial origin. These can be failures in the data collection process, sensor failure, or external unexpected events, such as an intentional violation of the microcontroller’s security. In addition, with the help of the proposed methods of anomaly detection, it is possible not only to analyze the security of devices, but also to determine the efficiency of the use of computing resources and check the operation of hardware modules. In General, the introduction of such methods is advisable at all stages of the life cycle of microprocessors and microcontrollers.

scholarly journals Engaging with Methodological Approaches to Training Practices in the Ghana Police Service: Sharing Personal Experience to Benefit Social Researchers

2020 ◽  
Vol 3 (3) ◽  
Keyword(s):  
Data Collection ◽  
Research Design ◽  
Police Officers ◽  
Research Work ◽  
Police Training ◽  
Primary Data ◽  
Data Collection Tool ◽  
Police Service ◽  
Training Schools ◽  
Methodological Approaches

The idea behind this paper is to critically look at the methodological approaches applied to a research work titled ‘Assessment of Training Practices in the Ghana Police Service’. This paper specifically outlined the various methods used in the said research and their justifications. Some of the methodological issues raised in that study are research design, the study area, the target population, sampling techniques and their justifications, data collection instruments, sources of data, data collection procedures, data processing and data analysis and ethical considerations. The paper revealed that descriptive research design is good for the studying of police training practices because it gave a detailed description of the characteristics that was studied. The findings of the study revealed that the mixed method (embedded research design) approach was largely the best in conducting a study like this at the police training schools in Ghana by eliciting appropriate data from both primary and secondary sources and adopting both qualitative and quantitative approaches. Furthermore, it was revealed that questionnaire was the most appropriate data collection tool for interviewing police officers, trainees and trainers and the interview guide was the best data collection tool for interviewing key actors like the commandants and administrators of the police training schools. These two instruments produced the primary data for the study. Quantitative responses were analyzed using Statistical Package for Social Sciences (SPSS) version 20.0 whereas the qualitative responses were transcribed and interpreted appropriately. The researcher strictly adhered to the principles of anonymity and confidentiality in order to protect respondents (quantitative) and participants (qualitative) of the research. In conclusion, all these methodologies followed in this research confirmed the complete validity and reliability of research findings and research instruments.

scholarly journals THE ATTRIBUTES OF ‘PAPAN MELEH’ - ROOF EAVES DECORATION IN BAITUL RAHMAH (KUALA KANGSAR, PERAK, MALAYSIA) WITH THE HISTORIC BUILDING INFORMATION MODELLING (HBIM) APPLICATION

2020 ◽  
Vol 18 (12) ◽  
Author(s):  
Abu Dzar Samsudin ◽  
Norzalifa Zainal Abidin ◽  
Alias Abdullah ◽  
Maisarah Ali
Keyword(s):  
Data Collection ◽  
Secondary Data ◽  
3D Models ◽  
Essential Elements ◽  
Primary Data ◽  
3 Dimensional ◽  
Data Process ◽  
Data Collection Process ◽  
Building Information ◽  
Collection Data

Malay building decoration components had been one of the essential elements in Traditional Malay Architecture. This study aims to look in-depth into the process of inputting the attributes data of “Papan Meleh” or roof eaves decoration in Baitul Rahmah building located in Kuala Kangsar using the HBIM application. The method of study for this paper involves three processes, which are the data collection, data process and data fusion. The findings in this study reveal that the data collection from Heritage study report is insufficient in describing the attributes of the roof eaves decoration. The data collection process involves the collection of primary data from the literature review, and secondary data from the heritage report. The secondary data have its limitation in describing the attributes of “Papan Meleh”. Thus, the data process phase is done to correlate the primary and secondary data in finding its generic attributes and remodelling the 2- Dimensional (2D) into 3-Dimensional (3D) model using the HBIM software. The attributes are divided into tangible and intangible data of “Papan Meleh”. After both 3D models of Papan Meleh and its generic attributes are done, both data are fused again through the HBIM software and a complete HBIM model is created.

scholarly journals COVID-19 in Afghanistan: Evaluating Health Vulnerability and Identifying Controlling Mechanism

2021 ◽  
Vol 3 (2) ◽  
pp. 175-192
Author(s):  
Najibullah Omerkhil ◽  
Gul Agha Sadiq ◽  
Nisar Ahmad Kohistani ◽  
Abdur Rahim Abidi ◽  
Gul Mina Azizi
Keyword(s):  
Research Work ◽  
Developed Countries ◽  
Vulnerability Index ◽  
Primary Data ◽  
Small Scale ◽  
Least Developed Countries ◽  
Online Questionnaire ◽  
North East ◽  
The North ◽  
Health Vulnerability

Background: The insistent range of coronavirus (COVID-19) crisis and its permeation into least developed countries has escalated the bar of countries fragility and susceptibility. Afghanistan is amongst the most affected countries by the COVID-19 pandemic certainly due to its poor health infrastructure and conflict affected demography. Objective: This study intends to assess the health vulnerability profile and identifying the control mechanism of the north and northeast regions of Afghanistan using the IPCC framework. Method: A pre-evaluated online questionnaire (Google form) and mobile survey of 361 households distributed in 8 provinces across the both zones to collected the primary data. Exposure, sensitivity and adaptive capacity covered the three main components of vulnerability index, weighing method of Iyenger and Sudershan is used to estimate the fabricate vulnerability index. Result: The province’s health vulnerability status was classified to the different groups based on beta distribution. Based on the vulnerability index, 62.5% of provinces were highly vulnerable, 25% moderately and 37.5% were least vulnerable. Conclusion: In north-east region people were highly vulnerable to COVID-19 in terms of sensitivity and exposure, with low copping capacity to cope with COVID-19 pandemic risks compare to the north zone. Recommendation: Enhancing health and hygiene facilities and a handful of lowcost methods such as strengthen informal safety nets and introducing small-scale regional infrastructure projects, could be most cost effective and viable options. Originality: The research work is original and has not been published in other publications. As well, no financial support has been received for the study.

Pemanfaatan Sistem Informasi Sebagai Alat Untuk Pendataan Masyarakat Di Pasuruan

2020 ◽  
Vol 2 (3) ◽  
pp. 145-150
Author(s):  
Syaifuddin Syaifuddin ◽  
Wildan Suharso
Keyword(s):  
Information System ◽  
Data Collection ◽  
Human Resources ◽  
Regional Government ◽  
Community Based ◽  
Collection Process ◽  
Data Collection Process ◽  
Service Activity ◽  
Development Plans ◽  
Collection Time

Pendataan yang bersifat manual menjadikan permasalahan pada proses dilakukannya pendataan, hal ini juga terjadi pada Dinas Pendidikan dan Kebudayaan Kota Pasuruan dimana pendataan masih bersifat manual dengan keterbatasan jumlah Sumber Daya Manusia (SDM) yang ditugaskan untuk melakukan pendataan, oleh karena itu pada kegiatan pengabdian ini dilakukan pelatihan sistem informasi untuk meningkatkan waktu pendataan dan mengurangi kompleksitas dalam proses pendataan pada pegawai di Dinas Pendidikan dan Kebudayaan Kota Pasuruan. Pelatihan sistem informasi yang dimaksud adalah sistem informasi pendataan berbasis masyarakat, yang berisikan data dasar yang diperlukan oleh Pemerintah Daerah dalam rangka penyusunan rencana pembangunan. Data informasi tidak akan memberikan manfaat jika tidak dijadikan sebagai bahan acuan dalam penyusunan rencana pembangunan sehingga pelatihan dan pendampingan perlu dilakukan untuk tercapainya tujuan.Kata Kunci : Sistem Informasi, Berbasis Masyarakat, PendataanABSTRACT Manual data collection causes problems in the data collection process, this also occurs in the Pasuruan City Education and Culture Office where data collection is still manual with a limited number of Human Resources (HR) assigned to collect data, therefore this service activity is carried out information system training to increase data collection time and reduce complexity in the data collection process for employees at the Pasuruan City Education and Culture Office. The information system training referred to is a community-based data collection information system, which contains basic data required by the Regional Government in the framework of formulating development plans. Information data will not provide benefits if it is not used as a reference in the preparation of development plans so that training and assistance are needed to achieve the goals.Keywords : Information System, Community Based, Data Collection 

Management Strategy for Distributing Questionnaires and Interview Guidelines in the Research Data Collection Process

2018 ◽  
Vol 2 (2) ◽  
pp. 104-111
Author(s):  
Po. Abas Sunarya ◽  
George Iwan Marantika ◽  
Adam Faturahman
Keyword(s):  
Focus Group ◽  
Data Collection ◽  
Management Strategy ◽  
Research Data ◽  
Accurate Information ◽  
Focus Group Interviews ◽  
Good Management ◽  
Research Activities ◽  
Data Collection Process ◽  
Group Interviews

Writing can mean lowering or describing graphic symbols that describe a languageunderstood by someone. For a researcher, management of research preparation is a veryimportant step because this step greatly determines the success or failure of all researchactivities. Before a person starts with research activities, he must make a written plan commonlyreferred to as the management of research data collection. In the process of collecting researchdata, of course we can do the management of questionnaires as well as the preparation ofinterview guidelines to disseminate and obtain accurate information. With the arrangement ofplanning and conducting interviews: the ethics of conducting interviews, the advantages anddisadvantages of interviews, the formulation of interview questions, the schedule of interviews,group and focus group interviews, interviews using recording devices, and interview bias.making a questionnaire must be designed with very good management by giving to theinformation needed, in accordance with the problem and all that does not cause problems at thestage of analysis and interpretation.

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