This study addresses a shift, generally positive, in the acceptance and adoption of mobile commerce. The study, based on data collected using a survey questionnaire from mobile phone users in South Korea, examined the relationships using factor analysis and multiple regression analysis methods. The results showed equal positive adoption rates across all demographics of age, education, and income, except for gender, in terms of attitudes toward mobile shopping. The rate of mobile commerce adoption was relatively stronger among females than males. This finding provides new developments to mobile service providers on the effect of demographic profile on consumers'behavior and attitudes toward mobile shopping. Based on the results of the study, practical implications for marketing strategies in mobile commerce markets are suggested.
The purpose of this study was to evaluate the impact of oral health impact profile in two urban area The respondents enrolled in this study were elderly people aged 65years from Gwang-ju city, Sunchon city. A total of 371 participants(Gwang-ju city 161, Sunchon city 210) analyzed. The contents of the research were social demographic characteristics, self perceived need for dental care, attributes related to denture, dental visiting pattern, the perceptions regarding dental health condition, and OHIP-14. 1. In the comparison Two urban area, the perceptions regarding dental health condition, self perceived need for dental care, dental visiting pattern was statistically significant difference(p<0.05). 2. Among the 7 OHIP-14 subscales, the mean scores of physical disability were significantly higher in two urban area(p<0.05). 3. The Social demographic characteristics, OHIP-14 represented a statistically significant difference related to gender, age and denture use(p<0.05). Through this research, Both Gwang-ju city and Sunchon city was found that elderly people was more negative impact of physical disability on oral health related quality of life. Therefore need to oral health program for improving oral health in the elderly people.
International Journal of Advanced Culture Technology
/
v.6
no.2
/
pp.86-99
/
2018
This study examined the relationship between the demographic profiles of 260 staff nurses in the SPC Health Care Ministry Hospitals and their Transcultural Self-Efficacy (TSE) level on the Cognitive, Practical and Affective dimensions. To obtain the result, among the nine (9) demographic profile items, three (3) common positive predictors were considered, namely, 1) Educational attainment level; 2) Age; and 3) Willingness to work abroad in all three dimensions. While in the Practical and Affective dimensions, the number of years employed were a common negative predictor and in the Affective dimension, Gender of participants was added as the positive predictor. Therefore, there are some significant demographic characteristics of respondents influence to the transcultural self-efficacy. Further, based on the results of this diagnostic study, the researcher designed the One (1) year Cultural Competence Training Program for staff nurses. For future research, the researcher recommended to conduct a further study that will evaluate the effectiveness of the educational intervention by approaching a longitudinal study form administering the test and retest of TSET.
In the 21st century, green consumer behavior, playing one of the core roles of sustainability, is still an important issue to green-related stakeholders. Because one of the major objectives of green-consumer research is an improvement of behaviors aligned with greening, this paper revisited socio-demographic variables and shed light on segmenting and profiling green consumers based on their connectedness between socio-demographic variables and green behaviors. Using correlations, factor analysis, analysis of variance, k-means cluster analysis and χ2-tests, this paper shows that socio-demographic variables differentially impact green-consumer behaviors. In order to profile green consumers, this paper additionally attempts to segment green-consumer groups. The results also coincide with former findings that socio-demographic variables relate significantly with segmented green-consumer group behaviors. General findings are summarized as: 1) older people used green practices more strongly than younger people, 2) females demonstrated better energy-saving and recycling practices compared to males, 3) marital status also significantly influenced green-related behaviors, 4) subjective social class had a significant influence on green-related behaviors, 5) education level and income, however, weakly influenced or showed no impact on green-related behaviors, and 6) a green consumer was classified as an 'active green consumer,' 'utilitarian green consumer,' or 'inactivated green consumer.' The utilitarian green consumer group distinctively behaved more strongly in energy-saving and recycling practices compared to the inactivated green consumer group, whereas active green consumers behaved more strongly on the whole, when compared to those in the inactivated green consumer group.
The purpose of this study are; 1) To identify the basic characteristics of consumers' purchasing styles according to the level of product involvement. 2) To analyze the statistical differences about each purchasing style characteristics according to the level of product involvement and demographic variables. 3) To develop the model format for a Profile of Consumer Purchasing Style Characteristics, which will provide basic data for consumer education. The university students in Taegu area were the subjects of the survey. the sample size analyzed in this study was 310. Data were analyzed by frequency, percentile, mean, standard deviation, factor analysis, t-test, ANOVA and Scheff -test as a post-hoc analysis. The major findings of this study can be summarized as follows; 1) consumers' purchasing style characteristics of Korean university students were identified as 8 purchasing styles. 2) Each purchasing style characteristics of Korean university students showed middle level.(average 5-7 paints) 3) The demographic variables which generally affect each purchasing style characteristics were age, sex and family income. 4) A Profile of Consumer Purchasing Style Characteristics was proposed on the basis of these results. The model format developed in this study will be appliable to consumer education.
Background: Multiple myeloma is the most common malignant plasma cell dyscrasia and ranks second among primary haematological malignancies. This study describes the epidemiologic, clinical and pathologic profile of monoclonal gammopathies seen in the University Hospital of the West Indies (UHWI), a tertiary care referral centre. Materials and Method: A retrospective analysis of 85 cases diagnosed at UHWI over the 5-year period 2003-2007 was conducted. The cases were identified from the bone marrow records as well as the computerized database of the Medical Records Department. Clinical presentation, family and personal history and demographic data were retrieved. Haematological and biochemical results were also analyzed. Results: There were 85 patients diagnosed with monoclonal gammopathies. The M:F ratio was 1.2:1 and the mean age was $65.7{\pm}1.3$ years. Eighty percent of the patients had skeletal pain and 40% experienced weight loss. Of the patients experiencing bone pain 56.7% had multiple lytic lesions, 26.7% had pathological fractures and 26.7% had compression fractures. Seventy-four patients (87.1%) had a haemoglobin level <12.0 g/dL with 52.9% having values <8.0 g/dL. Renal impairment was evident at diagnosis in 36.5%. Hypercalcemia was seen in 26.5% and hyperuricemia in 45.9%. Of the 79 patients who had serum protein electrophoresis performed, 77.2% had at least one monoclonal band and of these 24.6% had a monoclonal protein also present on urine protein electrophoresis. Conclusions: The demographic profile in this group of patients is largely similar to other studies in predominantly Caucasian populations; however there was a notable increase in prevalence of severe disease at presentation, with the majority of patients presenting at the most advanced stage. It is probable that these differences reflect socioeconomic factors and not merely inherent ethnic variation in disease biology.
This study is aimed to investigate the difference of leisure time use of elderly groups clustered with demographic factors and finally produce the leisure profile. A total 5392 time diaries, filled up by 65-years old and over in 2009 Time Use Survey, were analyzed by using descriptive statistics, correlation, cluster analysis, and ANOVA accompanied with the Scheffe's tests. The subjects could be clustered into 7 groups such as still working, work than leisure, hobby with friends, various leisure in a city, with religion and friendship, working and doing leisure in their spare time, and leisure in suburb based upon demographic factors such as age, gender, spouse, education, job, income and living area. The data also revealed that the clusters had different time use patterns in pursuing leisure. Overall, leisure in later life could be influenced by working status, and play an important role in filling their loss of job or spouse. The findings could help us plan upcoming leisure program and policies for the elderly.
Purpose - The primary purpose of this study is to employ effective marketing methods using market segmentation of coffee shops by determining how motivations to visit coffee shops have different impacts on demographic profile of visitors and characteristics of coffee shop visits, so as to draw out a better understanding of customers of coffee market. Research design, data, and methodology - Data were collected using surveys of self-administered questionnaires toward coffee shop users in Daejeon, Korea. A number of samples used in data analysis were 253 excluding unusable responses. The data were analyzed through frequency, reliability, and factor analysis using SPSS 20.0. Factor analysis was conducted through the principal component analysis and varimax rotation method to derive factors of one or more eigen values. In addition, the cluster analysis, multivariate ANOVA, and cross-tab analysis were used for the market segmentation based on the types of motivation for coffee shop visits. The process of the cluster analysis is as follows. Four clusters were derived through hierarchical clustering, and k-means cluster analysis was then carried out using mean value of the four clusters as the initial seed value. Result - The factor analysis delineated four dimensions of motivation to visit coffee shops: ostentation motivation, hedonic motivation, esthetic motivation, utility motivation. The cluster analysis yielded four clusters: utility and esthetic seekers, hedonic seekers, utility seekers, ostentation seekers. In order to further specify the profile of four clusters, each cluster was cross tabulated with socio-demographics and characteristics of coffee shop visits. Four clusters are significantly different from each other by four types of motivations for coffee shop visits. Conclusions - This study has empirically examined the difference in demographic profile of visitors and characteristics of coffee shop visits by motivation to visit coffee shops. There are significant differences according to age, education background, marital status, occupation and monthly income. In addition, coffee shops use pattern characterization in frequency of visits to coffee shops, relationships with companion, purpose of visit, information sources, brand type, average expense per visit, important elements of selection attribute were significantly different depending on motivations for coffee shop visits.
Background: Breast cancer is the most prevalent malignancy among women with wide differences in clinical profile from region to region. The present study aimed to describe the profile of breast cancer patients attending a tertiary care hospital in Marathwada region of Western India. Materials and Methods: In this descriptive retrospective study, we reviewed records of pathologically diagnosed patients of breast cancer managed at our center from years 2009 to 2015. Data with respect to demographic status, detailed past, medical, familial and personal history, findings of clinical examination and histological features were obtained. Patients were staged according to the Tumor Node Metastasis (TNM) system. Results: Among 260 cases, mean age of presentation was 52.6, with average age of menarche of 11.3 and menopause of 52.6 years. The majority of patients were from urban regions and were postmenopausal (64.3%). Main clinical features presentation were breast lumps. Most patients were in stage II and had infiltrating duct carcinomas. Conclusions: Most common risk factors for breast cancer observed are increasing age, low parity and obesity. Breast cancer was more prevalent among postmenopausal women presenting in stage II with infiltating duct carcinoma in our region of India.
So far, the behaviors of Web users have been predicted or analyzed mostly by their demographic characteristics or by considering in which context they gain access to that. But now there is a question about whether those characteristics are the only factors to trigger their use of Web. If the answer is not affirmative, what types of additional factors could cause such an action and how they characterize it should be discussed. User profile information has been considered one of the crucial elements to define user characteristics in user-centered UI design sector, and in order to apply it to UI design, it's needed to meditate on the above-mentioned questions. In this study, it's first attempted to have a good understanding of the users of different media and to review existing user classification methods. Next, user classification variables and relevant scales were prepared to sort out users according to their type of using Web, and case study was conducted to identify the behavioral characteristics of users and classify them according to their behavioral features. Finally, the user profile features of individual user groups were figured out based on data that were gathered by making an experiment, and data mapping was fulfilled between the behavioral characteristics and user profile characteristics to find out what types of behaviors were caused by the characteristics of user profile. As a result, it's found that user characteristics could have an impact on not only their general information and relevant contexts but their attitude of using different media and personality type. There were some problems with the experimental design, but more accurate information on the relationship of user behaviors to user profile characteristics will be obtained if those problems are eliminated. As user behaviors could be predicted only by user profile characteristics, user classification is expected to make a contribution to enhancing the efficiency of UI design.
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