• Asia-Pacific Journal of Business
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• v.4 no.2
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• pp.31-40
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• 2013

This paper portrays the perception of buying behaviour, factors of product preferences and product switch-over among women consumers in Vellore district of Tamil Nadu. To conduct this study, 300 respondents from 20 village blocks of Vellore district were selected using stratified random sampling as the technique and descriptive sampling as the design. The study came out with interesting results and conclusions. It was found that more than half of the respondents were purchasing the product without a bill. It was also found that the respondents who repaired their product in the authorized service centre during warranty period did not continue the same after the warranty period and preferred nearby repair shops. It was further found that more than half of the respondents were checking expiry date and quality standards while purchasing a product. The study's scope was limited to women consumers at Vellore district. It could be used for further research in other aspects such as gender comparison in Vellore district and comparison with other districts of Tamil Nadu and other states of India. It was suggested that there is still a necessity to upgrade the standard of the people in many aspects like education, occupation and level of income, which shall help them to compete with the neighboring cities on living standards.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.563-573
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• 2020

This research examined the effect of KHD Leadership toward Sustainable Shareholder Value and mediated by IT & Business Strategy Alignement and Integrated Supply Chain Management. Therefore, with this research, it is expected to be able to develop the KHD Leadership in State-owned enterprises' (SOEs) Indonesian. The population in this study were all echelon 1, 2, and 3 employees in the PT Pupuk Kalimantan Timur, PT Pupuk Petrokimia Gresik, PT Pupuk Sriwidjaja Palembang, PT Pupuk Kujang Cikampek, PT Pupuk Iskandar Muda, as many as N = 1002 people. The appropriate sampling technique used is Proportional Stratified Random Sampling (n=300 employees). The statistical analysis used is SEM-WarpPLS method. IT & Business Strategy Alignement and Integrated Supply Chain Management significant and positive on Sustainable Shareholder Value. IT & Business Strategy Alignment and IT Integrated Suppy Chain Management is a mediating variable between the influence of KHD Leadership on Sustainable Shareholder Value. Novelty in this research is the development of Ki Hadjar Dewantara Leadership as the development of the concept of Javanese leadership that grows inherent in Indonesian society, especially Javanese society and is believed to be applicable in business and industrial organizations in Indonesia, of course it can also be implemented in Pupuk Indonesia Holding Company.

• Journal of Families and Better Life
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• v.33 no.2
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• pp.35-51
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• 2015

The purpose of this study was to provide information for research about residents' opinion toward the physical environments of elderly facilities, through the analysis and investigation on the research methodology of foreign academic journal articles from 1990 to 2014. The study results were as follows: Firstly, purposive sampling was a large majority of both facilities and elderly residents. In quantitative studies, many researchers have conducted simple random, cluster, or stratified sampling. Diverse facilities in area, size, location, and etc. should be considered for participation. The qualifications for residents' participation should be considered as well, so that they all could have autonomy for study participation. Secondly, questionnaire and semi-structured guide were likely to be used in independent and resident care facilities. On the other hand in assisted living and long-term care facilities, open questions and visual material were used as well. A compatible scale should be developed so that elderly having variable functional level could participate independently in the study. Thirdly, in data collection process, compliance with research ethics and well trained interviewer's skill were important for residents' active responses and minimization of response errors. Enough research period of time and mixed study in data collection will decrease the response error.

• Journal of Distribution Science
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• v.19 no.1
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• pp.75-87
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• 2021

Purpose: The objective of this research is to identify the core aspects of persuasive factors influencing consumer's experiential value towards using Augmented Reality (AR) try-on feature while shopping cosmetic products online. The conceptual framework of this study is adopted and integrated from the theoretical study on how narrative experience, media richness, and presence affect the formation of experiential value in the augmented reality interactive technology (ARIT) process. Research design, data and methodology: The sample (n = 550) were collected from online and offline questionnaires by using stratified random sampling and purposive sampling methods. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used to analyze the data to confirm goodness-of-fit of the model and hypothesis testing. Results: The results indicated that media richness induced higher experiential value (consumer ROI, playfulness, service excellence and aesthetics), followed by narrative experience and presence towards using AR try-on feature. Conclusions: Consumer's experiential value towards using AR try-on feature when shopping cosmetic products online rely on media richness, narrative experience and presence respectively. Therefore, marketing practitioners are recommended to develop the feature design and content to be more useful, authentic, user-friendly and entertaining to better connect and provide confidence to consumers when shopping cosmetics online.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1125-1134
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• 2021

This study investigated development of Intention to Leave concept or model, by positioning psychological capital and gratitude, and job satisfaction as mediator to Intention to Leave. It is expected that findings contribute to Human Resource Management theories, specifically ones which are related to employee behavior. This study used qualitative approach in which survey and questionnaires were employed during data collection. This study was conducted in PT. Pupuk Kalimantan Timur located in Bontang, East Kalimantan. PT. Pupuk Kalimantan Timur was selected as the setting since it has had a lot of achievement. Population was 500 employees of PT. Pupuk Kalimantan Timur in Bontang, while total samples were 250. This study uses a sampling technique of proportional stratified random sampling. Data analysis methods were descriptive and quantitative. Inferential statistics, namely Generalized Structured Component Analysis (GSCA) were used to confirm model developed based on empirical data. This study showed that there is a significant and positive influence between Psychology Capital (X1) on Job Satisfaction (Y1) and Gratitude (X2) on Job Satisfaction (Y1). Gratitude is the strongest influencing variable on job satisfaction. Meanwhile, a significant but negative effect between Job Satisfaction (Y1) on Intention to Leave (Y2). This means that high job satisfaction will reduce the intention to leave.

• Journal of Distribution Science
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• v.21 no.1
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• pp.53-63
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• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

• Korean Journal of Remote Sensing
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• v.34 no.1
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• pp.45-74
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• 2018

Landslide is a natural hazard that threats lives and properties in many areas around the world. Landslides are difficult to recognize, particularly in rainforest regions. Thus, an accurate, detailed, and updated inventory map is required for landslide susceptibility, hazard, and risk analyses. The inconsistency in the results obtained using different features selection techniques in the literature has highlighted the importance of evaluating these techniques. Thus, in this study, six techniques of features selection were evaluated. Very-high-resolution LiDAR point clouds and orthophotos were acquired simultaneously in a rainforest area of Cameron Highlands, Malaysia by airborne laser scanning (LiDAR). A fuzzy-based segmentation parameter (FbSP optimizer) was used to optimize the segmentation parameters. Training samples were evaluated using a stratified random sampling method and set to 70% training samples. Two machine-learning algorithms, namely, Support Vector Machine (SVM) and Random Forest (RF), were used to evaluate the performance of each features selection algorithm. The overall accuracies of the SVM and RF models revealed that three of the six algorithms exhibited higher ranks in landslide detection. Results indicated that the classification accuracies of the RF classifier were higher than the SVM classifier using either all features or only the optimal features. The proposed techniques performed well in detecting the landslides in a rainforest area of Malaysia, and these techniques can be easily extended to similar regions.

• Journal of Korean Academy of Nursing
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• v.33 no.4
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• pp.457-463
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• 2003

Purpose. This cross-sectional survey was conducted to describe the sexuality of Korean women after menopause using a national sample, and to examine relationships between the sexuality and demographic, body mass index, and life style factors including smoking, alcohol use, and physical activity. Method. From Dec. 20, 1998 to April 30, 1999, 2196 naturally postmenopausal women aged between 41 and 65 years were recruited by a disproportional stratified random sampling method from 7 metropolitans and 6 provinces in Korea. The questionnaire was used to obtain information on the demographic characteristics, life style factors, body mass index, and sexual activities. Result. The findings show that the frequency of intercourse after menopause decreased among most of postmenopausal Korean women (64.5%). The frequency of women reported their sexual activity as satisfactory was higher among women doing physical activity, not smoking, with higher educational status, with middle socioeconomic status, without sleep disturbance, with lower body mass index, and with good subjective health status. Conclusion. Further studies need to be designed as the longitudinal studies with larger random samples and better measures of sexuality.

• Journal of Agricultural Extension & Community Development
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• v.13 no.1
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• pp.135-147
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• 2006

The purpose of this study were to analyze youth leadership skill of rural youth and to suggest implication for rural youth development. The study was carried out questionnaire. To analyze youth leadership skill of rural youth, the data were collected from 196 rural youth by stratified random sampling. The SPSSWIN / ver12.0 was used for analyzing data with t-test, ANOVA, and factor analysis. The major findings of this study were as follows; 1) Average of youth leadership skill is 91.42, minimum is was 61, maximum is 130, 2)When it comes to youth leadership skill, it is higher in highly educated youth and higher economic status, 3)When it comes to youth leadership skill, it is higher in farming size, extending in three years, promise of farming successor. Conclusionally, the study suggests community youth should be offered more educational experience for developing youth leadership.

• Journal of Agricultural Extension & Community Development
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• v.12 no.2
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• pp.257-270
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• 2005

The purposes of this study were to explore the differences of decision making in farming settlement and to analyze attributes for vocational decision making of rural youth. The study was carried out by literature review and questionnaire. To analyze vocational decision making of rural youth, the data were collected from 196 rural youth by stratified random sampling. The SPSSWIN/ver10 was used for analyzing data with frequency, percentage, t-test ANOVA and factor analysis. The major findings of this study were as follows; 1) Rural youth decided to become farmers at the middle and high school stage for farming succession and eco-friendly life orientation. 2) Youth parents were the major source of influence on their rural youth to settle in farming. 3) Rural youth with high economic status, upper academic achievement and university graduation showed higher autonomous decision making and lower heteronomous decision making. 4) Rural youth with low economic status and low academic achievement showed unstable vocational decision making. 5) The study suggested that rural youth with unstable decision making should get more educational opportunities and supports.