scholarly journals Money Attitude and Socio-Demographic Factors as Determinants of University Students’ Spending Behavior in Shah Alam, Malaysia

2021 ◽  
Vol 9 (1) ◽  
pp. 65
Author(s):  
Jamilah Kamis ◽  
Norhasbi Abdul Samad ◽  
Lee Siew Pheng ◽  
Salina Rasli ◽  
Salbiah Hanum Mohd Hajali ◽  
...  
Keyword(s):  
College Students ◽  
Demographic Factors ◽  
University Management ◽  
Two Factors ◽  
Spending Behavior ◽  
Money Attitude ◽  
Socio Demographic Factors ◽  
The Cost ◽  
The Relationship ◽  
Value Of Money

ABSTRACTNowadays, uncontrollable spending habit towards Malaysian young generations are becoming progressively. They have a tendency to have less value of money compared to the elder generations in spending their money. Since the cost of living in Malaysia has improved remarkably, the young generations enjoyed spending their money heavenly, therefore Malaysia faced changes in lifestyle and spending trend. This study proposes to investigate the relationship between money attitude and socio-demographic as determinants of college students’ spending behaviours. As such, the correlation between money attitude factors (power-prestige, distrust, retention-time and anxiety) and spending behaviours among Malaysian college students is a topic worthy of further exploration. At the same time, this study also attempts to explore whether college students’ spending behaviours are affected by their socio-demographic factors such as gender, age. The sample of this study consists of 176 students from three different universities in the Shah Alam area i.e University Selangor (UNISEL), University Management Science (MSU) and Universiti Teknologi Malaysia (UiTM). The regression analysis showed that there were only two factors of money attitude (power-prestige, and anxiety) that had a significant effect on spending behaviour among these universities’ students. However, from the analysis, it can be revealed that none of the socio-demographic factors had a significance (more than 0.05) towards the spending behaviour of the students. Thus, age (positive result) is the most influenced factor of the students’ spending behaviour. Consequently, several suggestions have been put forward and hoped that it will assist students in managing their fund effectively

Prevalence and Socio-demographic Factors of Aggression among Medical College Students

2015 ◽  
Vol 4 (8) ◽  
Author(s):  
M. Mirzaei-Alavijeh ◽  
P. Hossini ◽  
S. Hayati ◽  
A. Aghaei ◽  
B. Karami-Matin
Keyword(s):  
College Students ◽  
Demographic Factors ◽  
Medical College ◽  
Socio Demographic Factors

How career expectations influence advancement: evidence from women in the hospitality industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ting Liu ◽  
Jie Gao ◽  
Mingfang Zhu ◽  
Yajun Qiu
Keyword(s):  
Career Development ◽  
Management Strategies ◽  
Demographic Factors ◽  
Two Dimensions ◽  
Career Management ◽  
Career Expectations ◽  
Content Type ◽  
Socio Demographic Factors ◽  
The Relationship

Purpose This study aims to examine the role of women’s career expectations (CEs) in changes in their career advancement (CA) and to determine whether these changes were because of socio-demographic factors. Design/methodology/approach Multiple linear regression was used to measure the relationship between women’s CEs and CA, as well as the influences that socio-demographic factors (e.g. education) have on that relationship. Findings Results indicated that CEs had two dimensions (i.e. career rewards and career development) and that career reward expectations had a significantly higher effect on CA than career development expectations. Furthermore, women were very likely to set higher CEs and stronger desires for CA as they became older. Results also showed that education, working years and position level were significantly related to women’s CA. Practical implications This study provides new insight into which aspects of women’s CA can be boosted by CEs and how these aspects may be affected by socio-demographic factors. This study can help hotels design better career management strategies to achieve the desired results. The study also provides guidance for women’s career management activities. Originality/value This study considers women’s CEs in hotels. The results revealed two dimensions (i.e. career rewards and career development) of CEs and uncovered the influences of socio-demographic factors on women’s CA, for example, age, education, working years and position level.

scholarly journals The relationship of socio-demographic factors and satisfaction with social support at five and 10 yr after heart transplantation

2012 ◽  
Vol 27 (2) ◽  
pp. 267-273 ◽  
Author(s):  
Connie White-Williams ◽  
Kathleen L. Grady ◽  
David C. Naftel ◽  
Susan Myers ◽  
Edward Wang ◽  
...  
Keyword(s):  
Social Support ◽  
Heart Transplantation ◽  
Demographic Factors ◽  
Socio Demographic Factors ◽  
Relationship Of ◽  
The Relationship

scholarly journals Relationship Between Big Five Personality Traits and Media Multitasking Behavior of the Indian Sample

2021 ◽  
Vol 17 (1) ◽  
pp. 50-58
Author(s):  
S. Shukla
Keyword(s):  
College Students ◽  
Personality Traits ◽  
Big Five ◽  
Age Groups ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Media Multitasking ◽  
Socio Demographic Factors ◽  
The Impact ◽  
The Relationship

Media multitasking (MMT) is a growing phenomenon among Indian college students. Previous studies on other nationalities highlight that user’s personality traits play an important role in engaging them in this behavior. Using a sample of Indian college students, this study examined the relationship between MMT and the Big Five personality traits. It also examined the impact of age on the dynamics between personality and MMT. Results suggested that after controlling the socio-demographic factors, traits like openness to experience, extraversion, and neuroticism are positively related with high MMT. However, these observations are found to be moderated by age. These findings may help designing separate intervention techniques for alleviating excessive MMT behavior for different age groups considering their personality traits.

scholarly journals Effect of socio-demographic factors on the association between multimorbidity and acute care service use: a population-based retrospective cohort study

2020 ◽  
Author(s):  
Kathryn Ann Fisher ◽  
Lauren Griffith ◽  
Andrea Gruneir ◽  
Richard Perez ◽  
Lindsay Favotto ◽  
...  
Keyword(s):  
Emergency Department ◽  
Acute Care ◽  
Administrative Data ◽  
Service Use ◽  
Care Service ◽  
Demographic Factors ◽  
Emergency Department Visits ◽  
Socio Demographic Factors ◽  
The Relationship ◽  
Acute Care Service

Abstract Background: This study explores how a broad-range of socio-demographic factors shape the relationship between multimorbidity and one-year acute care service use (i.e., hospital, emergency department visits) among older adults in Ontario, Canada. Methods: We linked multiple cycles (2005-2006, 2007-2008, 2009-2010, 2011-2012) of the Canadian Community Health Survey (CCHS) to health administrative data to create a cohort of adults aged 65 and older in Ontario. Twelve chronic conditions identified from the administrative data were used to estimate multimorbidity (number of chronic conditions). We identified acute care service use over one year from the administrative data. We examined the relationship between multimorbidity and service use stratified by a comprehensive range of socio-demographic variables available from the CCHS. Logistic and Poisson multivariable regressions were used to explore the association between multimorbidity and service use and the role of socio-demographic factors in shaping this relationship. Results: Of the 28,361 members of the study sample, 60% were between the ages of 65 and 74 years, 57% were female, 72% were non-immigrant, and over 75% lived in an urban area. Emergency department visits and hospitalizations consistently increased with the level of multimorbidity. Stratified analyses revealed further patterns, with many being similar for both services – e.g., the odds ratios for both services were higher at all levels of multimorbidity for men, older age groups, and those with lower annual household income. Rurality and immigrant status appeared to impact emergency department use (higher in rural residents and non-immigrants) but not hospitalizations. Multimorbidity and most socio-demographic variables remained significant predictors of acute care service use in the multivariable regressions. Conclusions: Strong evidence links multimorbidity with increased acute care service use. This study showed that socio-demographic factors did not modify the relationship between multimorbidity and acute care service use, they were independently associated with acute care service use. Acute care service use was associated with perceived physical and mental health status as well as psychosocial factors, suggesting that optimizing service use requires attention to self-reported health status and social determinants, with programs that are multifaceted and integrated across the health and social service sectors.

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