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Journal articles on the topic 'Socio-demographics'

To see the other types of publications on this topic, follow the link: Socio-demographics.

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Azwardi, Sri Andaiyani, and Alghifari Mahdi Igamo. "Digital entrepreneurship: Socio-demographics and consumer behavior in Indonesia." Problems and Perspectives in Management 21, no. 3 (August 11, 2023): 290–99. http://dx.doi.org/10.21511/ppm.21(3).2023.23.

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Consumer characteristics of digital entrepreneurship are indispensable in achieving sustainable growth. Digital entrepreneurship has been rapidly growing and developing worldwide, and Indonesia is no exception. This study aims to determine the effect of socio-demographics on consumer decisions on using products and services of digital entrepreneurship in Indonesia. The study used an online survey of 400 residents of Palembang City, Indonesia. The respondents were selected through a stratified random sampling method. A logistic regression model is estimated to determine the effect of socio-demographic variables that promote start-up entrepreneurship. The empirical results show that age, education, and income have a significant effect on consumers of digital entrepreneurship. The results also confirm that young people are more likely than older people to set up digital entrepreneurship. The higher people’s income and higher their education, the greater their likelihood of using products and services of digital entrepreneurship. The implication is that digital entrepreneurs must consider the reach of consumers to the products and services offered in terms of price, quality, uniqueness, and convenience per socio-demographic conditions. AcknowledgmentThe research team would like to thank the Directorate of Resources, Directorate General Higher Education, Research and Technology Ministry of Education, Culture, Research and Technology as the funder, with Contract number 009/E4.1/AK.04.RA/2021.

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2

Lu, Xuedong, and Eric I. Pas. "Socio-demographics, activity participation and travel behavior." Transportation Research Part A: Policy and Practice 33, no. 1 (January 1999): 1–18. http://dx.doi.org/10.1016/s0965-8564(98)00020-2.

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3

Fredericks, Suzanne, and Souraya Sidani. "Socio-demographics and health profile: Influence on self-care." British Journal of Cardiac Nursing 7, no. 2 (February 2012): 77–82. http://dx.doi.org/10.12968/bjca.2012.7.2.77.

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4

Amjad, Rubab, Abdul Haseeb, Zeenia Khan, Zahra Moeen, Hira Butt, and Maria Jabbar. "Association of Socio-Demographics with Oral Para Functional Habits." Pakistan Journal of Medical and Health Sciences 16, no. 7 (July 30, 2022): 545–47. http://dx.doi.org/10.53350/pjmhs22167545.

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Objective: To find the association of sociodemographic factors with oral parafunctional habits. Methodology: A Cross-sectional descriptive study was conducted in College of Dentistry, Sharif Medical and Dental College, Lahore over a period of 5 months from July to November 2021. Data was collected using medical questionnaire and ten item personality inventory scale (TIPI). Results: The association of nail biting with gender (p=0.315), marital status (p=0.653), occupation (p=0.137) and education level (p=0.081) was not significant. Similar was the case for teeth grinding and gender (p=0.223), marital status (p=0.927), occupation (p=0.711) and education level (p=0.197). The association of teeth clenching habit with gender (p=0.174), marital status (p=1.000), occupation (p=0.349) and education level (p=0.362) was not significant. The association of the parafunctional habits of biting hard objects and chewing gum with sociodemographic factors was also not significant. Conclusion: It was seen that the majority of females, unmarried, unemployed individuals and those with tertiary level of education reported to have the habit of nail biting, teeth grinding and teeth clenching, biting on hard objects and chewing gum. Keywords: sociodemographic factors, nail biting, teeth clenching, teeth grinding, lip biting

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5

Horner, Ronnie D. "Patients' Socio-Demographics Characteristics and Utilization of Health Care." Medical Care 37, no. 1 (January 1999): 3–4. http://dx.doi.org/10.1097/00005650-199901000-00002.

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6

Kang, Seongho, Won Moo Hur, and Minhee Son. "The moderating role of socio-demographics on smartphone adoption." International Journal of Mobile Communications 12, no. 5 (2014): 532. http://dx.doi.org/10.1504/ijmc.2014.064597.

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7

Kowalkowska, Joanna, Rui Poínhos, and Sara Rodrigues. "Cooking skills and socio-demographics among Portuguese university students." British Food Journal 120, no. 3 (March 5, 2018): 563–77. http://dx.doi.org/10.1108/bfj-06-2017-0345.

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Purpose The purpose of this paper is to assess the reliability of a Portuguese version of the cooking skills scale (CSS) and to evaluate the association between cooking skills and socio-demographic, psychological and other cooking-related variables. Design/methodology/approach The study was conducted as an online survey among 730 Portuguese university students. Translation and back-translation of the CSS were performed. Data were assessed in two stages (test and retest) and the psychometric properties of the CSS were analyzed. The effect of socio-demographic variables was assessed by binary logistic regression analysis. The odds ratios for upper tertile of the CSS score were calculated using the lower tertile as reference. Findings Cronbach’s α for the CSS was 0.90. In the analysis of test-retest reliability, Spearman’s rank correlation coefficient was 0.79 and Cohen’s κ (for tertiles) was 0.49. Cooking skills were higher in respondents cooking more often, feeling more confident, enjoying more and indicating the personal interest as the main motivation to learn how to cook. Cooking skills were significantly better in females, older students and those with more independent place of residence. Originality/value Very good psychometric properties of the Portuguese version of the CSS were found among university students, providing a proper and simple tool to measure cooking skills in future studies with similar populations. The interventions encouraging to acquire and improve cooking skills as part of promoting healthy eating should be targeted especially toward men and young adults.

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8

Ruiz-Doblado, S. "Violent suicide attempts: socio-demographics, clinical profile, cultural repeaters?" European Psychiatry 16, no. 2 (March 2001): 138–39. http://dx.doi.org/10.1016/s0924-9338(01)00543-0.

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9

Weech-Maldonado, Robert, Michael J. Miller, and Justin C. Lord. "The Relationships among Socio-Demographics, Perceived Health, and Happiness." Applied Research in Quality of Life 12, no. 2 (March 31, 2017): 289–302. http://dx.doi.org/10.1007/s11482-017-9517-8.

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10

Kim, Young Doo. "A Study on Green Consumer Segmentation Based on Socio-Demographics and Behavioral Responses : Renewing the Relationships between Socio-demographics and Green Behavior." ASIA MARKETING JOURNAL 17, no. 1 (April 30, 2015): 1. http://dx.doi.org/10.15830/amj.2015.17.1.1.

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11

Obioma, Azuonwu, Ihua Nnenna, and Ahiakwo Christian. "Perceived Effect of Knowledge Level and Socio-Demographics on COVID-19 Risk Exposure: the Africa Experience." International Journal of Coronaviruses 2, no. 1 (November 30, 2020): 26–36. http://dx.doi.org/10.14302/issn.2692-1537.ijcv-20-3620.

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COVID-19 remains a global public health emergency till date. It is eminent that the transmission of the disease is subjective to people’s readiness to implement public health preventative strategies and these are often related to knowledge. Proper public knowledge about COVID-19 plus its predisposing factors is critical to effectively manage the increasing public health risks. However, socio-demographics have been implicated to COVID-19 infection risk and management outcome. Thus, this present study examined the influence of knowledge on COVID-19 risk outcome, the contribution of socio-demographics on the risk of COVID-19 and predicted synergistic effects of knowledge and socio-demographics on the risk of COVID-19. All measured was strictly perception amongst African sampled with an online Google form as the primary data source. The Correlation designed used Zr Statistics of Fisher Transformation to determine the differences between the two correlation coefficients of the prediction variables after an initial test using Pearson Product Moment Correlation between COVID-19 risk and Knowledge plus socio-demographic. The hypothesis was tested using Statistical Package for Social Science version 21 and iStat at varying significant levels of 0.05 and 0.01 respectively. Generally, a significant relationship exists between COVID-19 risk and knowledge level but not with composite socio-demographics. However, specific significant relationship (p<0.05) was noticed between COVID-19 risk and age (r=0.220) as well as marital status (r=-0.158). Educational level, location, and sex showed no correlation (p>0.05) with COVID-19 exposure. Also, the proposition of no significant difference between correlation coefficients of socio-demographics and knowledge was proven otherwise (p<0.05). The regression model (R2=0.420 and adjusted R2=0.404, df=2, 336, F-value=27.012. p=0.00) significantly predicted the synergic contributions of knowledge level and socio-demographics to COVID-19 exposure. 40.04% of the COVID-19 risk exposure can be explained by socio-demographics and knowledge about COVID-19. Synergic contribution of knowledge and socio-demographics proved risk prediction to COVID-19. Traditional factor like age should be decidedly considered and attention should be drawn towards good knowledge about COVID-19 especially its signs and symptoms plus transmission.

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Obioma, Azuonwu, Ihua Nnenna, and Ahiakwo Christian. "Perceived Effect of Knowledge Level and Socio-Demographics on COVID-19 Risk Exposure: the Africa Experience." International Journal of Coronaviruses 2, no. 1 (November 30, 2020): 26–36. http://dx.doi.org/10.14302/issn.2692-1537.ijcv-20-3620.

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COVID-19 remains a global public health emergency till date. It is eminent that the transmission of the disease is subjective to people’s readiness to implement public health preventative strategies and these are often related to knowledge. Proper public knowledge about COVID-19 plus its predisposing factors is critical to effectively manage the increasing public health risks. However, socio-demographics have been implicated to COVID-19 infection risk and management outcome. Thus, this present study examined the influence of knowledge on COVID-19 risk outcome, the contribution of socio-demographics on the risk of COVID-19 and predicted synergistic effects of knowledge and socio-demographics on the risk of COVID-19. All measured was strictly perception amongst African sampled with an online Google form as the primary data source. The Correlation designed used Zr Statistics of Fisher Transformation to determine the differences between the two correlation coefficients of the prediction variables after an initial test using Pearson Product Moment Correlation between COVID-19 risk and Knowledge plus socio-demographic. The hypothesis was tested using Statistical Package for Social Science version 21 and iStat at varying significant levels of 0.05 and 0.01 respectively. Generally, a significant relationship exists between COVID-19 risk and knowledge level but not with composite socio-demographics. However, specific significant relationship (p<0.05) was noticed between COVID-19 risk and age (r=0.220) as well as marital status (r=-0.158). Educational level, location, and sex showed no correlation (p>0.05) with COVID-19 exposure. Also, the proposition of no significant difference between correlation coefficients of socio-demographics and knowledge was proven otherwise (p<0.05). The regression model (R2=0.420 and adjusted R2=0.404, df=2, 336, F-value=27.012. p=0.00) significantly predicted the synergic contributions of knowledge level and socio-demographics to COVID-19 exposure. 40.04% of the COVID-19 risk exposure can be explained by socio-demographics and knowledge about COVID-19. Synergic contribution of knowledge and socio-demographics proved risk prediction to COVID-19. Traditional factor like age should be decidedly considered and attention should be drawn towards good knowledge about COVID-19 especially its signs and symptoms plus transmission.

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13

Varghese, Daison V., H. Ravindranath Rai, Jaison Varghese, and Vishnu Renjith. "Socio-demographics and Clinical Profile of Patients with Lateral Epicondylitis." Indian Journal of Public Health Research & Development 8, no. 3 (2017): 153. http://dx.doi.org/10.5958/0976-5506.2017.00178.4.

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14

Gupta, Anil Kumar, Poonam Kumari Kanu, and Bishnu Prasad Lamsal. "Gender Discrimination in Nepal: Does It Vary Across Socio-Demographics?" Journal of Contemporary Sociological Issues 1, no. 2 (August 31, 2021): 145. http://dx.doi.org/10.19184/csi.v1i2.25592.

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Gender discrimination is a pressing issue in gender research across the globe, including Nepal. The Government of Nepal has taken several measures against gender discrimination at all levels, but prevalence of gender discrimination is still evident. In this backdrop, this paper examined the prevalence of gender discrimination in Nepal by socio-demographic status. Micro-level data generated by Nepal National Governance Survey 2017/18 was used, and analyzed employing a logistic regression model. The results showed that the experience of gender-based discrimination is varied by socio-demographic factors. Gender, age, urban/rural, education, and economic status all have an impact on gender discrimination in Nepal. Hence, it is time to intervene in these factors to achieve the goal of gender justice.

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15

Dowling, Russell, Bret Ericson, Jack Caravanos, Patrick Grigsby, and Yaw Amoyaw-Osei. "Spatial Associations Between Contaminated Land and Socio Demographics in Ghana." International Journal of Environmental Research and Public Health 12, no. 10 (October 27, 2015): 13587–601. http://dx.doi.org/10.3390/ijerph121013587.

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16

Chen, Na, and Gulsah Akar. "Effects of neighborhood types & socio-demographics on activity space." Journal of Transport Geography 54 (June 2016): 112–21. http://dx.doi.org/10.1016/j.jtrangeo.2016.05.017.

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17

Ling, Rich, Troels Fibæk Bertel, and Pål Roe Sundsøy. "The socio-demographics of texting: An analysis of traffic data." New Media & Society 14, no. 2 (November 11, 2011): 281–98. http://dx.doi.org/10.1177/1461444811412711.

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18

Jain, Sanjay K., and Gurmeet Kaur. "Role of Socio-Demographics in Segmenting and Profiling Green Consumers." Journal of International Consumer Marketing 18, no. 3 (June 13, 2006): 107–46. http://dx.doi.org/10.1300/j046v18n03_06.

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19

Jiuhardi, Jiuhardi, Zamruddin Hasid, Surya Darma, and Dio Caisar Darma. "Sustaining Agricultural Growth: Traps of Socio–Demographics in Emerging Markets." Opportunities and Challenges in Sustainability 1, no. 1 (September 30, 2022): 13–28. http://dx.doi.org/10.56578/ocs010103.

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This research aims to evaluate the effect of the global innovation index (GII), urban population (UP), rural population (RP), social globalization index (SGI), and Demographic Pressures (DP) on agriculture value added (AVA). The samples were collected from The Global Economy relating to four countries, namely, China, Indonesia, USA, and India during 2013-2020. The collected data were analyzed through comparative panel regression. The results show that, in the long term, the increase in UP is significantly correlated with AVA in China, Indonesia, and India. Then, an increase in RP is significantly associated with AVA in India, and SGI exerts a significant effect on AVA in the USA. In the short term, every increase in GII has a significant effect on AVA in Indonesia and the USA. Furthermore, RP has a significant impact on AVA in China. A case study in India, reported that a decrease in SGI and DP significantly affect AVA. Meanwhile, the short-term DP growth greatly influences the AVA in the USA. The novelty of this research lies in the finding that the agricultural sector's tendency expands our knowledge of how many agricultural clusters in rural communities change their functions as a large number of rural residents relocate to metropolitan areas. Further, the debate over the HR industry's level of competition does not create job possibilities. In China, Indonesia, and the USA, DP enhances AVA. Stakeholders are required to reduce housing density through innovative agriculture concepts that are more humanistic and creative, even though DP only suppresses AVA in India.

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20

Whitesides, Joseph, Nicholas M. Pajewski, T. Gerard Bradley, Anthony M. Iacopino, and Christopher Okunseri. "Socio-demographics of adult orthodontic visits in the United States." American Journal of Orthodontics and Dentofacial Orthopedics 133, no. 4 (April 2008): 489.e9–489.e14. http://dx.doi.org/10.1016/j.ajodo.2007.08.016.

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21

Cocoradă, Elena, Alexandru Lucian Curtu, Laura Elena Năstasă, and Iosif Vorovencii. "Dropout Intention, Motivation, and Socio-Demographics of Forestry Students in Romania." Forests 12, no. 5 (May 13, 2021): 618. http://dx.doi.org/10.3390/f12050618.

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Reducing students’ dropout rate is a major challenge for universities. Based on a quantitative approach, this study aims to analyze and explain students’ dropout intention at the largest forestry school in Romania by collecting data in their first two months of the academic year prior to failing any courses. The study participants are undergraduate freshmen, male and female students, and the tools are psychological instruments commonly used or specifically developed for this study. Our findings partly confirm previous results, such as the higher intention of dropping out among male students compared to females, and also among students with admission GPA lower or equal to seven, on a GPA scale from 1 to 10, and among students from families with low income. Dropout intention can be explained by the academic performance expectancy, gender, family, socio-economic status, and perceived barriers to completion of studies. There were no differences regarding whether students were from urban or rural areas, proximity of university to home, and high school academic program. Our results may help to implement efficient measures for increasing student retention.

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22

Kemperman, Astrid D. A. M., and Harry J. P. Timmermans. "Influence of Socio-Demographics and Residential Environment on Leisure Activity Participation." Leisure Sciences 30, no. 4 (July 2008): 306–24. http://dx.doi.org/10.1080/01490400802165099.

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23

Reid, Carol, Cameron Hurst, and Debra Anderson. "Examination of socio-demographics and job satisfaction in Australian registered nurses." Collegian 20, no. 3 (September 2013): 161–69. http://dx.doi.org/10.1016/j.colegn.2012.06.004.

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24

Talreja, BhartiT, Lakhan Kataria, and Sandeep Shah. "Cognitive function in schizophrenia and its association with socio-demographics factors." Industrial Psychiatry Journal 22, no. 1 (2013): 47. http://dx.doi.org/10.4103/0972-6748.123619.

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25

Hristov, Emil, and Iskra Beleva. "The Declining Birth Rate in Bulgaria - Demographics and Socio-Economic Effects." Der Donauraum 41, no. 4 (December 2001): 21–28. http://dx.doi.org/10.7767/dnrm.2001.41.4.21.

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26

Banki, Mohammed Bala, Musa Dalil, Maikudi Mohammed, and Benjamin Aliyu Santali. "Influence of socio-demographics of leisure travellers on service experience equity." Anatolia 29, no. 1 (November 24, 2017): 129–40. http://dx.doi.org/10.1080/13032917.2017.1405828.

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27

Backer, Elisa, and Brian King. "VFR traveller demographics." Journal of Vacation Marketing 23, no. 3 (August 29, 2016): 191–204. http://dx.doi.org/10.1177/1356766716665439.

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The global phenomenon of visiting friends and relatives (VFR) travel is substantial, including in developed countries. In profiling its dimensions, researchers have examined various VFR characteristics including length of stay, origins and travel mode, though no thorough exploration has been undertaken of VFR demographics. Surprisingly this is the first large-scale study to examine VFR demographics and to consider all destination-related VFR data, not only those that are confined to purpose of visit. The researchers drew upon official Australian domestic travel data ( n = 81,579) to undertake a profile of the respective demographics of VFRs and non-VFRs. This assessment revealed that many people who would be classified as socio-economically disadvantaged engage in VFR travel. Previous literature has documented the lower participation of socio-economically disadvantaged groups in tourism and this article shows that they participate actively as VFRs. It is concluded that stimulating VFR travel provision may provide a mechanism for extending leisure experiences to those excluded from other forms of tourism.

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Wang, Ou, Simon Somogyi, and Richard Ablett. "The influences of quality attributes and socio-demographics on Chinese consumers' general and online consumptions of Canadian, US and Australian lobsters." British Food Journal 123, no. 7 (March 18, 2021): 2289–306. http://dx.doi.org/10.1108/bfj-12-2020-1101.

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PurposeThis study explores the influence of quality attributes and socio-demographics on Chinese consumers' general and online consumption of three origin-specific lobsters: Canadian, United States and Australian.Design/methodology/approachA web-based survey was administrated to 981 consumers from two cities in China: Shanghai and Qingdao. Descriptive analysis and binary logistic regression were used in the data analysis.FindingsChinese consumers were more willing to pay for the lobster quality attributes vitality, meat content, texture, size and safety. Their general and online consumption of three origin-specific lobsters is significantly linked to the following quality attributes and socio-demographics: meat content, size, shell hardness, texture, safety, nutrition, age, income, education, occupation, residential place and marital status.Originality/valueThis is the first study to explore the influence of quality attributes and socio-demographics on consumers' online consumption of luxury seafood.

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Williams, Pat, Ray Darville, and Michael Legg. "Grand Teton National Park Focused Visitor Survey." UW National Parks Service Research Station Annual Reports 35 (January 1, 2012): 51–62. http://dx.doi.org/10.13001/uwnpsrc.2012.3927.

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In the summer of 2010 research was conducted in Grand Teton National Park to ascertain trip characteristics of GRTE visitors, examine pertinent socio-demographic visitor characteristics, develop an understanding of how visitor socio-demographics affect trip characteristics and outcomes, and determine how these characteristics and demographics affect interest in and experiences with the Indian Arts Museum. Researchers spent seven weeks in the park and followed the onsite data gathering with an at home follow-up for visitors.

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Sharma, Viha, and Shradha Khandelwal. "A Graphical Case Study of Inflation Beliefs in India: Key Socio-Demographics." PRAGATI : Journal of Indian Economy 8, no. 2 (December 15, 2021): 64–98. http://dx.doi.org/10.17492/jpi.pragati.v8i2.822104.

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Robinson, Beth S., Richard Inger, and Kevin J. Gaston. "A Rose by Any Other Name: Plant Identification Knowledge & Socio-Demographics." PLOS ONE 11, no. 5 (May 26, 2016): e0156572. http://dx.doi.org/10.1371/journal.pone.0156572.

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32

Cho, Sung Hyun. "Inpatient Satisfaction and Dissatisfaction in Relation to Socio-demographics and Utilization Characteristics." Journal of Korean Academy of Nursing 35, no. 3 (2005): 535. http://dx.doi.org/10.4040/jkan.2005.35.3.535.

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33

Panzone, Luca, Denis Hilton, Laura Sale, and Doron Cohen. "Socio-demographics, implicit attitudes, explicit attitudes, and sustainable consumption in supermarket shopping." Journal of Economic Psychology 55 (August 2016): 77–95. http://dx.doi.org/10.1016/j.joep.2016.02.004.

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Pepermans, Roland, and Anke Müller-Peters. "Differences in Information Requirements among European Citizens: More Psychology than Socio-Demographics." Journal of Consumer Policy 22, no. 1-2 (June 1999): 81–90. http://dx.doi.org/10.1023/a:1006196805158.

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Kumar, Rajeev, Damodar Suar, and Sanjay Kumar Singh. "Regional differences, socio-demographics, and hidden population of HIV/AIDS in India." AIDS Care 29, no. 2 (July 25, 2016): 204–8. http://dx.doi.org/10.1080/09540121.2016.1211605.

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Başbay, Mustafa Metin, Ceyhun Elgin, and Orhan Torul. "Socio-demographics, political attitudes and informal sector employment: A cross-country analysis." Economic Systems 42, no. 4 (December 2018): 556–68. http://dx.doi.org/10.1016/j.ecosys.2018.03.003.

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37

Duan, Zhengyu, Haoran Zhao, and Zhenming Li. "Non-linear effects of built environment and socio-demographics on activity space." Journal of Transport Geography 111 (July 2023): 103671. http://dx.doi.org/10.1016/j.jtrangeo.2023.103671.

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Radzuan, N. Q., M. H. A. Hassan, K. A. Abu Kassim, A. A. Ab Rashid, I. S. Mohd Razelan, and N. A. Othman. "The Influence of Socio-demographics Background on the Driving Behavior: A Short Review." Journal of the Society of Automotive Engineers Malaysia 5, no. 2 (September 28, 2021): 194–205. http://dx.doi.org/10.56381/jsaem.v5i2.164.

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Reckless driving behavior might result in a higher risk of an accident. Many factors are known to be the cause of this driving behavior. One of the factors is the socio-demographic background of the driver. This study aims to review currently available literature that investigates the relationship between driving behavior and any known socio-demographic characteristics. The review also focuses on the method used in the data collection as well as the tools used to perform the analysis to correlate the driving behavior and socio-demographic background. The review found that the influence of socio-demographic background on driving behavior study has not been explored in detail especially from the ethnicity point of view. With regards to the data collection, most of the study utilised the self- report survey, in which the targeted respondents are young adults. There are also studies covering all age groups that made use of the Driving Behaviour Questionnaire, data of traffic accidents or police reports, and virtual reality to collect the data. SAS/STAT statistical software package was found to be a popular choice among researchers when analyzing the data. This review concludes that driving behavior study in the multi-racial country for instance in Malaysia should explore further the relationship between driving behavior and socio-demographic background, especially from the ethnic perspective.

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Ezeh, O. H., and C. C. Ezeh. "The Socio-Demographics of HIV-Infected Persons with Psychological Morbidity in Zaria, Nigeria." Open Journal of Medical Psychology 06, no. 04 (2017): 228–32. http://dx.doi.org/10.4236/ojmp.2017.64018.

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40

Agyapong, Daniel, Paul Jones, Rosemond Boohene, Gloria K. Q. Agyapong, Siaw Frimpong, and Francis O. Boachie-Mensah. "Analysis of Socio-Demographics of Necessity-driven Entrepreneurs in Selected Cities in Ghana." Journal of Business and Enterprise Development (JOBED) 10 (June 1, 2022): 73–112. http://dx.doi.org/10.47963/jobed.v10i.890.

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The study analysed the dynamics of necessity-driven entrepreneurs, using the sociological approach to start-ups. The paper explored the risk appetite and the entrepreneurial potential of those involved in the street hawking business. Utilising the sequential transformative design, structured interviews were used to collect data from 306 street hawkers in Accra, Kumasi, and Cape Coast. Subsequently, 25 follow-up interviews were conducted, using a structured interview guide. Data were collected over ten months due to the complex nature of the respondents of the study. Descriptive statistics and texts were used to analyse the data. The results indicated that the majority of the respondents had only basic education or no formal education. Furthermore, the respondents were mostly women and young people without formal jobs nor any means of livelihood. The study has implications for policy on education, especially basic and adult education, as several of the respondents barely have basic education. There needs to be a social intervention programme to equip the street hawkers with the right employable skills to help develop their skills and promote the growth of their businesses. The paper also makes a case for nurturing their skills as a means of poverty alleviation.

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Nazir, Thseen, and Liyana Thabassum. "The Role of Socio-Demographics, Family, and Peer Factors in Adolescent Alcohol Behaviors." International Journal of English Literature and Social Sciences 7, no. 2 (2022): 208–18. http://dx.doi.org/10.22161/ijels.72.27.

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42

Lai, Tin Lok, Chi Kit Au, Ho Yin Chung, and Chak Sing Lau. "Depression in psoriatic arthritis: Related to socio‐demographics, comorbid loads or disease activity?" International Journal of Rheumatic Diseases 25, no. 4 (February 11, 2022): 474–80. http://dx.doi.org/10.1111/1756-185x.14298.

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Marchese, Laura, Katherine M. Livingstone, Julie L. Woods, Kate Wingrove, and Priscila Machado. "Ultra-processed food consumption, socio-demographics, and diet quality in Australian adults – CORRIGENDUM." Public Health Nutrition 25, no. 1 (October 11, 2021): 205. http://dx.doi.org/10.1017/s1368980021004067.

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Mugoya, George C. T., and Kagendo N. Mutua. "Childhood Disability Risk Factors in Kenya: Impact of Poverty and Other Socio-demographics." International Journal of Disability, Development and Education 62, no. 5 (July 10, 2015): 501–17. http://dx.doi.org/10.1080/1034912x.2015.1048670.

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Howard, Natasha J., Anne W. Taylor, Tiffany K. Gill, and Catherine R. Chittleborough. "Severe obesity: Investigating the socio-demographics within the extremes of body mass index." Obesity Research & Clinical Practice 2, no. 1 (March 2008): 51–59. http://dx.doi.org/10.1016/j.orcp.2008.01.001.

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Stefanovics, Elina A., Marc N. Potenza, and Robert H. Pietrzak. "Gambling in a National U.S. Veteran Population: Prevalence, Socio-demographics, and Psychiatric Comorbidities." Journal of Gambling Studies 33, no. 4 (March 14, 2017): 1099–120. http://dx.doi.org/10.1007/s10899-017-9678-2.

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Persad, Malini D., and Janell L. Mensinger. "Maternal Breastfeeding Attitudes: Association with Breastfeeding Intent and Socio-demographics Among Urban Primiparas." Journal of Community Health 33, no. 2 (December 1, 2007): 53–60. http://dx.doi.org/10.1007/s10900-007-9068-2.

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Reid, Carol, Lee Jones, Cameron Hurst, and Debra Anderson. "Examining relationships between socio-demographics and self-efficacy among registered nurses in Australia." Collegian 25, no. 1 (February 2018): 57–63. http://dx.doi.org/10.1016/j.colegn.2017.03.007.

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Agyeiwaah, Elizabeth, Oheneba Akyeampong, and Edem K. Amenumey. "International tourists’ motivations to choose homestay: Do their socio-demographics have any influence?" Tourism and Hospitality Research 13, no. 1 (January 2013): 16–26. http://dx.doi.org/10.1177/1467358413517895.

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Danila, Nevi, Zaiton Ali, Bunyamin Bunyamin, and Marlinda D. K. "Socio-Demographics Characteristics on Investment Objectives of Individual Investors: Empirical Study in Indonesia." Journal of Accounting, Business and Management (JABM) 26, no. 2 (October 10, 2019): 12. http://dx.doi.org/10.31966/jabminternational.v26i2.410.

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Abstract:

Every investor has a unique choice of investment based on customized needs and goals. Each investment has its characteristics. This study investigates the association between socio-demographic characteristics of individual investors and the objectives of the investments. Employing Pearson’s chi-square test with 125 respondents from securities companies in Indonesia, we suggest that the decision of investors in investing their money depends on the association between sociodemographic characteristics and the characteristics of investments' goals. The results of this study can benefit both individual investors and securities firms. For individual investors, this study can be a guideline for them to make an investment decision by considering an investment objective that suits them the most. While for the securities companies, they can market their products to investors appropriately by looking into the demographic factors of the investors and indirectly know the investors’ investments preference. More, the government needs to enhance the infrastructure of the financial sector in order to increase individuals participation in the sector

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