scholarly journals SPATIAL EXPLORATION OF BOKO HARAM ATTACKS AND IT’S ASSOCIATED INFLUENCE ON TOURISM BUSINESSES IN NORTHEASTERN NIGERIA

2020 ◽  
Vol 5 (21) ◽  
pp. 184-199
Author(s):  
Inyang Oduduabasi ◽  
Lawal Olanrewaju
Keyword(s):  
Longitudinal Research ◽  
Secondary Data ◽  
Sampling Technique ◽  
Cluster Sampling ◽  
Event Data ◽  
Boko Haram ◽  
Longitudinal Research Design ◽  
Tourism Sector ◽  
Random Occurrence ◽  
Spatial Exploration

This study was on the spatial exploration of Boko Haram terrorist attacks and its influence on components of tourism businesses (hotels) in Northeastern Nigeria. Secondary data on location, nature, date, and number of fatalities from the Boko Haram attack were sourced from Armed Conflict Location & Event Data (ACLED). Data on the location of hotels were sourced from the field with the use of the Geographic Positioning System (GPS). A total of 558 hotels were selected in a one-stage cluster sampling technique. The study adopts a longitudinal research design where centrographic analysis was carried out to describe the spatial distribution of events. Results of the study revealed that Boko Haram attacks were more coordinated rather than a random occurrence with most of the attacks concentrated in Borno State. Furthermore, Boko Haram did not directly target tourism businesses though some of the hotels fell within a 1.5km radius of the attacks. The study, therefore, recommends for an intense media promotion of the areas and States not majorly affected by the crisis, rebuilding of areas and States recovered from the group, provisions of more resilient security apparatus, and general development of social, educational, and economic infrastructures to help revamp not only the tourism sector of the area but its general socioeconomic activities.

scholarly journals MEASURING TERRORISM EFFECTS ON COMPONENTS OF HOSPITALITY AND TOURISM BUSINESSES IN NORTHEASTERN NIGERIA

2020 ◽  
Vol 5 (21) ◽  
pp. 109-122
Author(s):  
Inyang Oduduabasi ◽  
Arokoyu Samuel
Keyword(s):  
Armed Conflict ◽  
Longitudinal Research ◽  
Secondary Data ◽  
Sampling Technique ◽  
Cluster Sampling ◽  
Occupancy Rate ◽  
Event Data ◽  
Boko Haram ◽  
Longitudinal Research Design

This study was carried out to measure terrorism effects on components of tourism businesses (hotels) in northeastern Nigeria using Boko Haram as a case study. Secondary data on nature, date, and the number of fatalities from the Boko Haram attack was sourced from the Armed Conflict Location & Event Data (ACLED). Data on tourism businesses including hotel room occupancy rate, revenue profile, and employees’ profile was sourced from each state tourism development board. A total of 558 hotels were selected in a one-stage cluster sampling technique. The study adopts a longitudinal research design where inferential statistics was performed with the use of SPSS. Results revealed that Boko Haram attacks had significant effects on tourism businesses contributing to the decline in the number of hotel employees, revenue, and room occupancy rate of hotels in the region. The study, therefore, recommends intense media promotion of the areas and States not majorly affected by the crisis, rebuilding of areas and States recovered from the group, provisions of more resilient security apparatus, and general development of social, educational, and economic infrastructures to help revamp the socioeconomic life of the area.

scholarly journals Modeling The Influential Factors Of 8th Grades Student’s Mathematics Achievement In Malaysia By Using Structural Equation Modeling (SEM)

2014 ◽  
Vol 3 (4) ◽  
pp. 172
Author(s):  
Ahmad Nazim
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Secondary Data ◽  
Sampling Technique ◽  
Influential Factors ◽  
Equation Modeling ◽  
Cluster Sampling ◽  
Accuracy And Precision ◽  
Best Fit

This research demonstrates the application of Structural Equation Modeling (SEM) method in order to obtain the best fit model for a more efficient and accurate inter-relationship among variables findings and interpretation. For the purpose of this study, secondary data of Trends in International Mathematics and Science Study (TIMSS) was used. The questionnaire were distributed by using two stage stratified cluster sampling technique to 5733 eighth grades students in Malaysia. A Confirmatory Factor Analysis (CFA), Discriminant Validity and Path Analysis had been conducted to obtain the best fit model of SEM. At the end of the study, a best fit model will be obtained for a better accuracy and precision estimation in further analysis.

scholarly journals Chronic Energy Deficiency and Its Determinant Factors among Adults Aged 18–59 Years in Ethiopia: A Cross-Sectional Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Samuel Dagne ◽  
Yonatan Menber ◽  
Yosef Wassihun ◽  
Gedefaw Dires ◽  
Atitegeb Abera ◽  
...  
Keyword(s):  
Public Health Problem ◽  
Secondary Data ◽  
Sampling Technique ◽  
Wealth Index ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Limited Information ◽  
Cross Sectional ◽  
Energy Deficiency ◽  
Chronic Energy Deficiency

Background. The prevalence of undernutrition in low- and middle-income countries is still remarkably high. Undernutrition during adulthood is a greater risk factor for low productivity, poor health, and mortality. There is limited information on the prevalence and determinants of chronic energy deficiency in Ethiopia. Objective. To assess the prevalence and determinants of chronic energy deficiency among adults aged 18–59 years in Ethiopia. Method. A secondary data analysis was conducted using the data obtained from the 2016 Ethiopia Demographic and Health Survey. Data were collected using a multistage stratified cluster sampling technique, and the analytic sample consisted of 9,280 adults aged 18–59 years. The chi-square test and multivariable logistic regression analyses were used, and p value <0.05 was taken as statistically significant. Result. A total of 9280 adults aged 18–59 years were included in the study and 2911 (28.7%) (95% CI: 27.0%–30.4%) of whom were chronic energy deficient. Adults who have no work (AOR = 1.41, 95% CI: 1.16, 1.72), male adults from Tigray region (AOR = 2.23, 95% CI: 1.61, 3.09), Afar region (AOR = 2.98, 95% CI: 2.04, 4.36), Somali region (AOR = 3.14, 95% CI: 2.19, 4.52), Gambella region (AOR = 1.89, 95% CI: 1.29, 2.76), Harari region (AOR = 1.54, 95% CI: 1.09, 2.19), Amhara region (AOR = 1.53, 95% CI: 1.09, 2.13), Oromia region (AOR = 1.53, 95% CI: 1.07, 2.19), Dire Dawa (AOR = 1.45, 95% CI: 1.03, 2.05), adults live lonely (AOR = 1.44, 95% CI: 1.21, 1.71), and adults residing in poor wealth index households (AOR = 1.26 : 95% CI: 1.07, 1.49) were significantly associated with chronic energy deficiency. Conclusion and recommendation. Chronic energy deficiency among male adults in Ethiopia was a high public health problem. Marital status, wealth index, occupation, and region were significant predictors of chronic energy deficiency. The Ministry of Health with other partners should strictly monitor and evaluate interventions that are being applied and should give focus to adult men to prevent malnutrition.

Relationship between Interest Rates and Gearing Ratios of Firms Listed in the Nairobi Securities Exchange

2016 ◽  
Vol 1 (1) ◽  
pp. 30
Author(s):  
Billy Muthee ◽  
Dr. J Adudah ◽  
Hendrick Ondigo
Keyword(s):  
Interest Rates ◽  
Firm Size ◽  
Longitudinal Research ◽  
Negative Relationship ◽  
Secondary Data ◽  
Annual Reports ◽  
Longitudinal Research Design ◽  
Growth Firms ◽  
The Relationship ◽  
Interest Expense

Purpose: The objective of this study was to establish the relationship between interest rates and gearing ratios of firms listed in the Nairobi Securities Exchange.Methodology: The study was carried out using a longitudinal research design, employing secondary quantitative data. The population for this study constituted of all listed companies in the Nairobi Securities Exchange. As at December 2013, there are 62 companies listed on the Nairobi Securities Exchange. This study did not sample and hence a census survey was carried out for the study. The study used secondary data. All the data was collected by review of documents, annual reports of the companies, the Nairobi Securities Exchange Handbooks and published books of accounts. The selected period was year 2009 to year 2013 (5 years).The researcher used frequencies, averages and percentages in this study. The researcher used Statistical Package for Social Sciences (SPSS) to generate the descriptive statistics and also to generate inferential results. Regression analysis was used to demonstrate effect of interest rate on the gearing ratio of listed firms.Results: These results showed that there is a negative relationship between gearing ratio and interest expense and profitability as supported by beta coefficients of -0.486 and -0.129 respectively. Firm size had a positive correlation (0.275), which means that an increase in firm size causes an increase in the gearing ratio. The analysis also yields results that showed that interest expense, firm size and profitability were statistically significant.Unique contribution to theory, practice and policy: the study recommended that; the firms should adopt strategies that increase their firm size resulting to a scenario whereby they increase their collateral and thus granting them the ability to access more debt, firms should ensure that they optimize their profits so as to reduce their gearing ratio and thus cause growth, firms should seek to adopt other ways of financing their activities since interest expense had a negative relationship with gearing ratio.

scholarly journals The Impact of work-life connectivity on professional women: A case study of telecom industry

2016 ◽  
pp. 271-291
Keyword(s):  
Women Workers ◽  
Organizational Support ◽  
Secondary Data ◽  
Sampling Technique ◽  
Family Satisfaction ◽  
Professional Women ◽  
Work Life ◽  
Cluster Sampling ◽  
Telecom Industry ◽  
The Impact

The purpose of this research was to test work life border theory against job/life satisfaction. The impact of work-life connectivity on professional women working in telecom industry was checked. This quantitative research was conducted by collecting secondary data gathered through world recognized questionnaires. A sample size of 285 respondents was collected through Qualtrics and self-administered questionnaires. This sample was adequate as using Power and Precision software a minimum sample of 175 was computed. Cluster sampling technique in combination with stratified sampling was used to collect data from women in Telecom Industry from major cities of Pakistan. Data collected was analyzed in SPSS and SEM was run on AMOS. Pearson r correlation and regression tests were run to study the effect of the understudy variables. The study found that both types of connectivity, work- to- family and family- to-work directly influence job and family satisfaction of women. The results suggest that family-friendly policies and organizational support can bring substantial benefits to women workers and the organization as a whole.

scholarly journals ANALISIS FAKTOR HOSPITALITI MASYARAKAT TERHADAP WISATAWAN DI KAWASAN KOTA BOGOR

2017 ◽  
Vol 14 (2) ◽  
pp. 182-191
Author(s):  
Resista Vikaliana
Keyword(s):  
Hospitality Industry ◽  
Secondary Data ◽  
Sampling Technique ◽  
Botanical Garden ◽  
Primary Data ◽  
Natural Phenomenon ◽  
Cluster Sampling ◽  
Research Approach ◽  
Descriptive Research ◽  
The City

Bogor city has a natural phenomenon as a tourist destination. Therefore, until now when entering the holiday period, Bogor City is always crowded by tourists. To promote tourism in the city of Bogor, it is necessary necessary facilities that can support such as hospitality industry. The existence of hospitality industry in the city of Bogor becomes a very big attraction for tourists both for the purpose of seeking entertainment or for business purposes. Based on information obtained by tourists on the existence of tourist destinations in the city of Bogor, the tourists are interested to travel by spending time and money to satisfy curiosity.This research is conducted to learn more with the formulation of the problem as the factors of what hospitals can satisfy tourists who visit the city of Bogor?The research approach used in this research is quantitative approach. While this type of research is descriptive research. Descriptive research aims to describe or describe a research object.Technique of taking data using primary and secondary data. Primary data were taken using questionnaire. Questionnaires were distributed to 100 travelers with sampling technique of cluster sampling, at Bogor Botanical Garden object, Taman Hat / Taman Ade Irma Suryani and Suryakencana Culinary Tour. Data were analyzed using factor analysis.Based on the result of the research, it can be concluded that of the 24 most influential community hospital factors on tourist visit in Bogor City can be grouped into 7 components or variables. 

ANALISIS KONTRIBUSI MICE TERHADAP PENYERAPAN TENAGA KERJA DAN KUNJUNGAN WISATAWAN DI DAERAH ISTIMEWA YOGYAKARTA

2020 ◽  
Vol 14 (01) ◽  
pp. 1-12
Author(s):  
Rosalina Nur Annisa ◽  
Dyah Wahyuning Tyas
Keyword(s):  
Secondary Data ◽  
Sampling Technique ◽  
Primary Data ◽  
Tourist Destinations ◽  
Tourism Sector ◽  
Facilities Location ◽  
Mice Tourism ◽  
Depth Interviews ◽  
Special Region ◽  
Yogyakarta City

This study aims to analyze the development of MICE tourism and its contribution to employment absorption in the tourism sector and tourist visits in the Special Region of Yogyakarta. MICE activities (Meetings, Incentives, Conventions, and Exhibitions) held in an area may contribute to various sectors. However, the implementation of MICE activities in an area has not yet been clearly measured for its contribution to employment absorption or number of tourist visits. This research sample uses purposive sampling technique, using primary data and secondary data. Primary data in the form of in-depth interviews and questionnaires. While secondary data in the form of data on the number of MICE, labor in the tourism sector, and tourist visits in 2014 - 2018. The analytical method used in this study is quantitative and qualitative SWOT (Strength, Weakness, Opportunities, and Threat) and is supported by descriptive statistics for strengthen analysis. The results showed the development of MICE tourism in DIY over a period of 5 years (2014-2018) had increased. MICE has grown a lot in Sleman Regency and Yogyakarta City, due to the factor of accommodation facilities, location close to tourist destinations and airports. MICE has a contribution to employment absorption seen from the positive quadrant sign between strength and weakness of 144.96. In addition, MICE also contributes to tourist visits as seen from the positive quadrant sign of 119.03. Keywords: MICE, employment absorption, tourist visit

scholarly journals 165 PERSEPSI KARYAWAN TERHADAP KEBUTUHAN AFILIASI DENGAN KOMITMEN ORGANISASI PADA PERHOTELAN DI BALI

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Benny Sedana Putera ◽  
Komang Rahayu Indrawati
Keyword(s):  
Organizational Commitment ◽  
Significant Relationship ◽  
Quantitative Method ◽  
Computer Software ◽  
Sampling Technique ◽  
Cluster Sampling ◽  
Research Use ◽  
Need For Affiliation ◽  
Tourism Sector ◽  
The Relationship

The tourism sector is a favorite and seeded sector in Bali. That situation make many hotels in Bali compete with other hotels to give best service and best quality accommodation for tourist who came to Bali. In hotels, to give best service for tourist, the hotels need employee who has good skill and strong organizational commitment. Beside of that, how the employee have a perception about need for affiliation being important factor to interact with coworker in organization for reach the goal of hotels. The purpose of this research is to find the relationship between the perception of the need for affiliation with organizational commitment at hotels in Bali.This research use the quantitative method. The sampling technique that used in this research is a cluster sampling. This research use 128 respondent who work in hotel. Measure instrument in this research use scale perception of the need for affiliation with 59 item total and scale of organizational commitment with 42 item total. The coefficient of reliability for scale perception of the need for affiliation is 0,950 and for scale of organizational commitment is 0,958.Data in this research analyzed by simple linier regression with computer software SPSS version 15.0. The result of this research obtained that correlation coefficient is 0,715 with probability score is 0,000 (p<0,05). Based on the result can indicated there are significant relationship between the perception of the need for affiliation with organizational commitment. Determination coefficient (R2) which obtained in this research is 0,511 can be interpreted that perception of the need for affiliation have 51,1% can explain toward commitment organizational.Keyword: Perception of the need for affiliation, organizational commitment and hotel

scholarly journals Cost-volume-profit Analysis and Decision Making in the Manufacturing Industries of Nigeria

2015 ◽  
Vol 1 (1) ◽  
pp. 8-16
Author(s):  
J.C Ihemeje
Keyword(s):  
Decision Making ◽  
Longitudinal Research ◽  
Secondary Data ◽  
Manufacturing Industries ◽  
Order Quantity ◽  
Longitudinal Research Design ◽  
Profit Analysis ◽  
Correlation Techniques ◽  
The Cost ◽  
Positive Effect

This study determined the effect of cost-volume-profit analysis in the decision making of manufacturing industries. The study combined both survey research and longitudinal research design. Both primary and secondary data were used for collection. They were analyzed using regression and correlation techniques. The results revealed that the sales value of a product and the quantity of the product manufactured has a positive effect on profit made on the product, also that there is a significant relationship between the cost of production and profit. The reorder and economic order quantity was also determined as a base for assessing decision-making opportunities. Based on the result, the researcher recommends that manufacturing industries should always adopt cost-volume-profit analysis in their decision making.

scholarly journals Analisis Perbandingan Pendapatan Petani Pola Tanam Monokultur Dan Polikultur Di Kecamatan Meureudu Kabupaten Pidie Jaya

2016 ◽  
Vol 1 (1) ◽  
pp. 305-313
Author(s):  
Rizael Zoelfahmie ◽  
Safrida Safrida ◽  
Sofyan Sofyan
Keyword(s):  
Secondary Data ◽  
Sampling Technique ◽  
Paddy Fields ◽  
Primary Data ◽  
Survey Method ◽  
Cluster Sampling ◽  
Cropping Pattern ◽  
Cropping Patterns ◽  
Average Area ◽  
Average Average

In the District Meureudu, there are two types of cropping farming in paddy fields, namely Monoculture cropping pattern and cropping patterns poly. Monoculture is planting only one crop a year, namely rice, whereas polyculture cropping is planting more than one plant within a year, namely rice and soybeans. The method used in this research is survey method. The sampling technique is cluster sampling and data used are primary data and secondary data. Average - Average area of land that did monoculture is 0.22 hectares, while the area of land on the cropping pattern polyculture is 0.15. Average - Average harvests of farmers practicing monoculture of 3.2 ton / year, while the average - average yields in cropping patterns polyculture 1.9 ton / year for rice and 0.48 Kg / year for soybeans. Comparison of farmers using monoculture and polyculture in District Meureudu is 65: 35. In general, farmers in Sub Meureudu that uses monoculture earn 42 million / ha / year, while the use of polyculture cropping patterns to earn 58 million / ha / Year. Constraints faced by farmers practicing monoculture of the interview that the pest rodents, sparrows and waterways, while the polyculture cropping patterns from the interviews that the pest rodents, sparrows, waterways and livestock citizens. Keywords: Income, monoculture, and poly

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