Media and Source Markets for Domestic Tourism in Tanzania: Study of Kitulo National Park

Mkwizu, Kezia H.

doi:10.24940/ijird/2018/v7/i2/feb18026

Cited by 9 publications

(14 citation statements)

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“…According to Adio and Popoola (2010), demographic factors encompass individual attributes, including but not limited to ethnicity, race, and family size.The researcher's assert that demographic factors encompass a descriptive segmentation technique that explicitly considers socio-demographic characteristics. The parameters often encompassed in this context typically comprise age, gender, family life cycle, education, income, and nationality (Mkwizu, 2018;Sandybayev et al, 2020). Socio-demographic characteristics are frequently employed by experts to effectively delineate patterns of employee behaviour (Weaver, 2000).…”

Section: Demographic Characteristicsmentioning

confidence: 99%

“…Demographic characteristics refer to quanti􀅫iable attributes of a population or group, including age, gender, race/ethnicity, socioeconomic status, education level, marital status, and employment status. These characteristics are essential for 􀅫ields such as marketing, public health, and social sciences, as they provide valuable insights into understanding and segmenting populations (Nations, 2019).In the context of socio-demographic factors, experts often consider variables such as age, gender, family life cycle, education, income, and nationality when analyzing behavior patterns (Mkwizu, 2018). These factors help de􀅫ine and categorize individuals based on their biographical and personal characteristics, including race and career goals (Bell, 2016;Fletchl, 2010).Leveraging and managing these demographic dif-ferences can contribute to a competitive advantage by harnessing the skills, ideas, and creativity of individuals from diverse backgrounds (Ann, 1992).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Teachers’ Classroom Behavior in Relation to their Demographic Characteristics at University Level

Bagum,

Sajjad,

Naz

2024

JMPHSS

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Teachers' behaviour plays a signi􀅫icant role in teaching and learning. This research aimed to analyze the teachers' classroom behaviour and their demographic characteristics at the University level. Teachers' demographic characteristics such as gender, designation, age, sector, experience, quali􀅫ication, professional quali􀅫ication, employment status, marital status, locality, average no. of working hours per day and their department explored to provide insight on teachers' perceived classroom behavior. The data was analyzed using the co-relation method of quantitative research design. Teacher's perception of their classroom behaviour and their demographic characteristics was measured through the adapted questionnaires. This research was carried out with 411 university teachers from three universities in Multan. The data were analyzed using descriptive and inferential statistical approaches, including Pearson's R coef􀅫icient of correlation, Mean, Standard Deviation, Independent samples t-test, and ANOVA. Findings showed that teachers' classroom behaviour was moderate to highly positive with university students regarding teachers' interactive and negative behaviour, effective responses to student needs and teachers' caring behaviour. No statistically signi􀅫icant difference was found between the university teachers' perceptions about their classroom behaviour based on their gender, designation, age, sector, experience, quali􀅫ication, professional quali􀅫ication, employment status, marital status, locality, average no. of working hours per day and their department.Furthermore, public and private university teachers' perceptions of their classroom behavior differ signi􀅫icantly. The Pearson correlation coef􀅫icient result shows no signi􀅫icant relationship between teachers' classroom behavior and their demographic characteristics. This study has several limitations and implications that must be considered when interpreting 􀅫indings. These include the fact that we could not investigate the extent to which the differences in teacher perceptions could be explained by biases or stereotypes held by the teachers. Due to our sample size, we could not investigate whether or not teacher perceptions differed for immigrant students from different countries. The researchers recommended that teachers' classroom behavior be examined, recognized and acknowledged at all other levels of educational institutions and organizations in Pakistan.

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Section: Demographic Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Teachers’ Classroom Behavior in Relation to their Demographic Characteristics at University Level

Bagum,

Sajjad,

Naz

2024

JMPHSS

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“…Mazilu and Mitroi (2010) defined demographic factors as descriptive segmentation technique, whereby sociodemographic factors are directly involved. Examples of sociodemographic factors commonly used by tourism experts (Ma et al , 2018; Mkwizu, 2018) include age, gender, family life cycle, education, income and nationality. These variables are believed to be accurate in describing tourism market and predicting travel behavior patterns (Weaver and Oppermann, 2000).…”

Section: Literature Reviewmentioning

confidence: 99%

Motivation & stimulus as drivers of leisure travel: an empirical study of Indian female executives

Dasgupta,

Singh

2023

CBTH

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Purpose This study aims to understand how female executive travellers should be characterized by inter-winning socio-economic segmentation and leisure travel motivation. Design/methodology/approach This study identifies push factors as a motivation for leisure travel among female executives in India. Quantitative research methodology was applied based on 892 online responses to a questionnaire. Principal component analysis was applied to identify the underlying dimensions of push motivational items. Findings The findings disclose five-factor dimensions of self-esteem; knowledge- and novelty-seeking; stimulus; escape; and self-recognition. Among the five identified dimensions, stimulus was the most important factor for motivating female executives to travel for leisure, followed by knowledge and novelty-seeking. Research limitations/implications This study was conducted on 1,100 female executive travellers, meaning the results are only valid for this cultural context. All data was collected through a referral chain network survey among female executives via Google survey forms. While segmenting types of travellers amongst females, usage of push motivation framework as a variable remains pervasive in tourism research. Originality/value Although literature on female travel motivation is abundant, however, to the authors’ knowledge, empirical studies that focus on female executives leisure travel motivations are still rare. These findings are, therefore, valuable for illuminating tourism stakeholders to cater this potential segment more customisedly.

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“…Personal attributes and travel motivation also have a direct relationship. Specifically, demographic factors such as gender, age, family life cycle, income, country's level of development, etc., greatly influence travel motivation [53,[66][67][68]. Gender is a major influencing factor in travel motivation, and travel patterns also vary between males and females in ordinary times and pandemics [69].…”

Section: Literature Reviewmentioning

confidence: 99%

Travel Motivation during COVID-19: A Case from Nepal

2022

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The tourism industry is one of the most affected industries by the COVID-19 pandemic. Understanding travel motivation is necessary for the tourism movement, even in the COVID-19 pandemic. Thus, this quantitative study aimed to explore travel motivation and its determinants. We collected 181 samples through a web-based questionnaire survey of the Nepali people in January and February 2021. The data were analyzed using a probit regression model through two different travel companion perspectives, i.e., traveling with friends and traveling with family members. We found that travel motivation, attributes, travel purpose, and transport mode preferences differed in companion groups. Specifically, those who want to travel with friends are government employees, 20–29 years of age, set health and wellness purposes, choose the bike for transportation, are less willing to visit homestay and agritourism, and want to travel for around one week. Those who plan to travel with family members use the coach to travel, choose rural destinations, including villages, and spend around two weeks. Based on these findings, we suggest that the Nepalese tourism destination and public transport companies make tourism packages targeting the groups. Since both groups showed interest in visiting rural destinations, we can say that tourism in rural destinations may revive earlier than urban tourism after the pandemic. However, a low-risk travel environment should be ensured for traveling to attract more tourists during and the post-disaster.

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Media and Source Markets for Domestic Tourism in Tanzania: Study of Kitulo National Park

Cited by 9 publications

References 1 publication

Analysis of Teachers’ Classroom Behavior in Relation to their Demographic Characteristics at University Level

Analysis of Teachers’ Classroom Behavior in Relation to their Demographic Characteristics at University Level

Motivation & stimulus as drivers of leisure travel: an empirical study of Indian female executives

Travel Motivation during COVID-19: A Case from Nepal

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