scholarly journals REWARD AND JOB SECURITY AS FACTOR THAT INFLUENCED THE INTENTION TO QUIT

2020 ◽  
Vol 3 (14) ◽  
pp. 64-71
Author(s):  
Samihah Suhail ◽  
Norsiah Mat ◽  
Zuraida Hassan
Keyword(s):  
Data Analysis ◽  
Negative Relationship ◽  
Job Security ◽  
Peninsular Malaysia ◽  
Tourism Industry ◽  
Intention To Quit ◽  
High Turnover ◽  
Services Sector ◽  
Analysis Process ◽  
Hotel Workers

The tourism sector is one of the main contributors to Malaysia’s economic growth. This is based on the current statistics for 2019 which recorded an increase in foreign tourist arrivals of 2.7 percent, with an increase in revenue of 6.8 percent over the previous year. In this regard, the services sector is an important component in the tourism industry that brings revenue and contributes to the growth of employment opportunities and the country’s economy. However, the high turnover rate in the hospitality industry has been a concern for the organization and a major issue for the human resources department. Therefore, this study aims to identify the relationship between reward factors and job security to the intention to quit. This study involved respondents among hotel workers operating in the northern states of Peninsular Malaysia. The data of this study was collected using a distributed questionnaire while the data analysis process involved the use of the Statistical Packages for Social Science (SPSS) application. The results of the data analysis found that the reward factor has a significant negative relationship to the intention to quit among the respondents. Meanwhile, the job security factor does not have a significant relationship with the intention to quit.

scholarly journals JOB SECURITY CRISIS AT THE HOTEL INDUSTRY TOWARDS INTENTION TO QUIT DURING COVID-19 PANDEMIC

2021 ◽  
Vol 6 (24) ◽  
pp. 20-29
Author(s):  
Samihah Suhail ◽  
Norsiah Mat ◽  
Zuraida Hassan
Keyword(s):  
Hotel Industry ◽  
Job Security ◽  
Tourism Industry ◽  
Intention To Quit ◽  
Cluster Sampling ◽  
Hotel Management ◽  
Foreign Tourist ◽  
Analysis Process ◽  
Unpaid Leave ◽  
Pay Cuts

The emergence of the COVID-19 outbreak in Malaysia last year has caused the tourism industry to be squeezed with various challenges. Based on current statistics for 2019 which recorded an increase in foreign tourist arrival of 2.7 percent, with an increase of 6.8 percent over the previous year. However, the national tourism sector experienced a severe decline in the percentage of foreign tourist arrivals due to the outbreak of COVID-19. The COVID-19 crisis is a new crisis that has hit the hotel industry around the world, including Malaysia. The gloom of the tourism industry also effects the number of visitors and tourists staying at the hotel. This is because Malaysia is one of the tourisms led countries where the hotel industry is a major contributor to the overall GDP of the country’s economy. This has resulted in many hotels in Malaysia being forced to close temporarily or wind up. For the record, a total of 109 hotels had to close in 2020. Based on data from the Malaysian Hotel Association in 2020, a total of 542 people equivalent to 3 percent of workers were laid off, while 20 percent (3,641) were asked to take unpaid leave and a total of (2,880), 16 percent had faced pay cuts. On the part of the hotel management, salary cuts, termination of rewards and layoffs are some of the drastic actions that have to be taken to ensure business continuity. However, this approach is seen as unfair for hotel workers. Therefore, this study aimed to identify the relationship of job security towards intention to quit during the COVID-19 pandemic. The data of the study involved respondents from the state of Kedah. The population for this study was 1,230 employees working in 40 hotels in Kedah. The target of the population, 291 employees were identified through cluster sampling. In addition, the data of this study was collected using a distributed questionnaire while for the data analysis process using Statistical Packages for Social Science (SPSS). The results from the analysis found that job security had not a significant relationship with the intention to quit.

Architecture of a distributed system for processing heterogeneous data from social networks

2020 ◽  
Vol 4 ◽  
pp. 97-100
Author(s):  
A.P. Pronichev ◽  
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Distributed System ◽  
Heterogeneous Data ◽  
Analysis Process ◽  
Support Costs

The article discusses the architecture of a system for collecting and analyzing heterogeneous data from social networks. This architecture is a distributed system of subsystem modules, each of which is responsible for a separate task. The system also allows you to use external systems for data analysis, providing the necessary interface abstraction for connection. This allows for more flexible customization of the data analysis process and reduces development, implementation and support costs.

Is NPA and Stock Return Related: An Empirical Study of Back Testing Model

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Madhvi . ◽  
Amit Gautam ◽  
Amit Srivastava
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Stock Price ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Share Price ◽  
Correlation Studies ◽  
Back Testing ◽  
Trading Model ◽  
The Relationship

This paper examines the relationship between NPA announcements by banks and the impulsive movement in stock price brought out by these announcements. Primary focus of this study is to determine whether we can create a swing trading model based on back testing the data for the banking stocks listed on the Indian bourses.To achieve this objective we created a databasespanning ten years (2006 to 2016) and collected the daily share prices of eight banks listed on Bombay Stock Exchange (BSE). The relationship between share price and changes in NPA is studied on the basis of correlation studies and panel-data analysis. Although correlation studies does not establish any significant relationship, but the result of panel-data analysis clearly shows a negative relationship between the two. The result is further utilized to develop swing trading model and get benefit out of it. The novelty of the present study is that it clearly guides the swing traders as to how to earn benefit because of fluctuations in share price due to announce of NPA result.

Analyzing The Violent Crime Patterns In Peninsular Malaysia : Exploratory Spatial Data Analysis (ESDA) Approach

2014 ◽  
Vol 72 (1) ◽  
Author(s):  
Syerrina Zakaria ◽  
Nuzlinda Abd. Rahman
Keyword(s):  
Data Analysis ◽  
Spatial Autocorrelation ◽  
Violent Crime ◽  
Spatial Data ◽  
Hot Spot ◽  
Peninsular Malaysia ◽  
Spatial Data Analysis ◽  
Exploratory Spatial Data Analysis ◽  
Policy Makers ◽  
Violent Crime Rate

The objective of this study is to analyze the spatial cluster of crime cases in Peninsular Malaysia by using the exploratory spatial data analysis (ESDA). In order to identify and measure the spatial autocorrelation (cluster), Moran’s I index were measured. Based on the cluster analyses, the hot spot of the violent crime occurrence was mapped. Maps were constructed by overlaying hot spot of violent crime rate for the year 2001, 2005 and 2009. As a result, the hypothesis of spatial randomness was rejected indicating cluster effect existed in the study area. The findings reveal that crime was distributed nonrandomly, suggestive of positive spatial autocorrelation. The findings of this study can be used by the goverment, policy makers or responsible agencies to take any related action in term of crime prevention, human resource allocation and law enforcemant in order to overcome this important issue in the future. 

scholarly journals Hubungan Budaya Sekolah Dan Keteladanan Guru Dengan Karakter Siswa Sekolah Dasar Negeri 050772 Kecamatan Pangkalan Susu Kabupaten Langkat

2021 ◽  
Vol 4 (1) ◽  
pp. 19-26
Author(s):  
Khairani Nasution
Keyword(s):  
Data Analysis ◽  
School Culture ◽  
Primary School ◽  
Positive Relation ◽  
Data Collection Tool ◽  
Know How ◽  
Analysis Process ◽  
Analysis Technique ◽  
Sample Data ◽  
Data Analysis Result

This research aims to know how the relation of primary School 050772 Pangkalan Susu. The sample of this research 30 student where 21% taken  of 141 students. This research uses data collection tool in the form of Likert scale. Questioner is compiled based on variabel and tested to  respondent that is not research sample. Data analysis process is conducted by using quantitative approach through three steps, they are: 1. Describing research variabel data. 2. Testing requirements analysis. 3. Testing hypotesis to reveal the relation the relation beetween research variables using correlation analysis technique. Based on data analysis result and testing process, then the conclusion is (1) the school culture has positive relation with student’s character of primary school 050772 Pangkalan Susu. This case is proved that the correlation r (0,504) > r table (0,3061) while the significance is 0,004 < 0,05; (2) the teacher’s example has positive relation with student’s character of primary School 050772 Pangkalan Susu where correlation coeficient r (0,603) > r table (0,3061) with significncy 0,006, it is fewer than 0,05; (3) School Culture and teacher’s example has positive ration with student’s character of primary school 050772 Pangkalan Susu where correlation coefisiency r (0,662) > r table (0,3061), testing result F shows that F count (10,506) > F table (3,35) while significancy < 0,05 that is 0,000. Based on the research above, it can be stated that student’s character can be formed through school culture and teacher ’s example.

scholarly journals Preprocessing Profiling Model for Visual Analytics

2020 ◽  
Author(s):  
Alessandra Maciel Paz Milani ◽  
Fernando V. Paulovich ◽  
Isabel Harb Manssour
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Visual Analytics ◽  
Data Preprocessing ◽  
Interview Study ◽  
Raw Data ◽  
Important Stage ◽  
Analysis Process

Analyzing and managing raw data are still a challenging part of the data analysis process, mainly regarding data preprocessing. Although we can find studies proposing design implications or recommendations for visualization solutions in the data analysis scope, they do not focus on challenges during the preprocessing phase. Likewise, the current Visual Analytics processes do not consider preprocessing an equally important stage in their process. Thus, with this study, we aim to contribute to the discussion of how we can use and combine methods of visualization and data mining to assist data analysts during the preprocessing activities. To achieve that, we introduce the Preprocessing Profiling Model for Visual Analytics, which contemplates a set of features to inspire the implementation of new solutions. In turn, these features were designed considering a list of insights we obtained during an interview study with thirteen data analysts. Our contributions can be summarized as offering resources to promote a shift to a visual preprocessing.

scholarly journals The Impact of COVID-19 Pandemic on Residents’ Support for Sustainable Tourism Development

2021 ◽  
Vol 13 (22) ◽  
pp. 12541
Author(s):  
Simona Vinerean ◽  
Alin Opreana ◽  
Cosmin Tileagă ◽  
Roxana Elena Popșa
Keyword(s):  
Social Exchange ◽  
Structural Equation ◽  
Sustainable Tourism ◽  
Negative Relationship ◽  
Tourism Development ◽  
Tourism Industry ◽  
Integrative Model ◽  
Equation Modeling ◽  
Sustainable Tourism Development ◽  
The Impact

The tourism industry has been gravely affected by the COVID-19 pandemic. In this context, the purpose of this study was to explore residents’ support for sustainable tourism development in an integrative model that considered well-established factors and the impact of the COVID-19 pandemic. Addressing various research gaps caused by the pandemic, this study aimed to examine a model based on eight hypotheses. Using the premises of a cross-sectional study, data was gathered from residents from Sibiu. Data analysis implied various steps to provide an accurate understanding of the hypotheses and the model was developed based on structural equation modeling. Considering the results of hypothesis testing, our study reconfirmed the applicability of social exchange theory in describing residents’ attitudes toward tourism development and positioned quality of life as an important predictor for this construct. Also, the outcomes highlighted a negative relationship between the host community’s perceptions of the coronavirus pandemic and their subsequent support for sustainable tourism development. Overall, the results focused on offering contributions for a better understanding of residents’ behavior and the influence of the COVID-19 outbreak on their support for sustainable tourism development. The conceptual and practical ramifications of the study were addressed in the article’s conclusion.

scholarly journals Pelatihan Pola Ritme Sebagai Strategi Peningkatan Kualitas Pembalajaran Mata Kuliah Instrumen Gitar di Jurusan Musik FSP ISI Yogyakarta

PROMUSIKA ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 20-28
Author(s):  
Kustap Kustap ◽  
Ikhsan Lubis
Keyword(s):  
Data Analysis ◽  
Qualitative Method ◽  
Class Action ◽  
Material Objects ◽  
Rhythmic Pattern ◽  
Training Process ◽  
Interactive Model ◽  
Analysis Process ◽  
Research Material ◽  
Rhythm Pattern

Pola ritme merupakan elemen musik utama yang berkaitan langsung dengan gerakan waktu dalam musik, di mana waktu selalu bergerak dan mengatur kestabilan rasa musikal. Pola ritme sangat mentukan ketepatan hitungan dalam permainan gitar tunggal, dan bermain anasambel gitar. Pola ritme merukan objek material penelitian sedangkan proses pelatihan pola rime dalam pembelajaran mata kuliah instrumen gitar merupakan objek formal. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dan tindakan kelas dengan teknik pengupulan data triangulasi, sedangkan proses analisis data menggunakan model interaktif. Hasil yang diperoleh dari penelitian ini adalah strategi latihan pola ritme yang disesuaikan dengan tanda sukat yang ada pada materi yang berupa lagu yang akan dilatih dengan instrumen gitar. moving and regulating musical stability. Rhythm patterns really determine the accuracy of counts in a single guitar game, and play guitar ensembles. Rhythm patterns are research material objects while the rime training process in learning guitar instrument subjects is a formal object. The method used in this study is a qualitative method and class action with the technique of collecting triangulation data, while the data analysis process uses an interactive model. The results obtained from this study are the rhythmic pattern training strategies that are tailored to the signs of sukat that are in the material in the form of songs that will be trained with guitar instruments.Keywords: Rhythm pattern; training; learning; guitar

scholarly journals Globalisation processes and tourism industry development in North-East Asia (Korea, China, Japan)

2021 ◽  
Vol 5 (S4) ◽  
pp. 927-941
Author(s):  
Den Sik Kan ◽  
Volodymyr M. Vasylchuk ◽  
Leonid V. Chuprii ◽  
Igor B. Datskiv ◽  
Kateryna P. Kravets
Keyword(s):  
South Korea ◽  
East Asia ◽  
Cultural Tourism ◽  
Tourism Industry ◽  
Eastern Region ◽  
Services Sector ◽  
North East ◽  
The North ◽  
Current State ◽  
Tourism Services

The paper covers relevant issues, such as the current state of the tourism services sector in China, Japan, and South Korea. The significance is confirmed by the growing role of the North-East Asian countries in the world trade in services and the growing contribution of tourism to the global gross domestic product. The purpose of this study is to identify the features, problems, and prospects for the development of the tourism services sector in China, Japan, and South Korea. The paper uses methods of systematisation and typification, which made it possible to determine the specifics of the development of cultural tourism in the Far Eastern region among the current range of opinions and areas of cultural tourism research. The study uses the principles of historicism and objectivity, which allowed analysing the development and current state of tourist exchange. A cultural approach was also used to reconstruct the cultural and humanitarian population of North-East Asia through the mutual enrichment of nations and people. The systematic approach made it possible to understand the importance of humanitarian exchange between people and identified the universality of tourism.

Embracing tension: using Bakhtinian theory as a means for data analysis

2016 ◽  
Vol 17 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Xiaoli Hong ◽  
Michelle M Falter ◽  
Bob Fecho
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Multiple Perspectives ◽  
Qualitative Data Analysis ◽  
Research Participants ◽  
Analysis Process ◽  
Bakhtinian Theory ◽  
Ongoing Dialogue

In this article we introduce tension as a means for qualitative data analysis based on Mikhail Bakhtin’s dialogical theory. We first explain the foundations of Bakhtin’s theory and show the inevitability of tension in our lives and qualitative data analysis. We then offer a review of how Bakhtin’s notion of tension has manifested itself in qualitative research, which prompts us to establish a tensional approach to qualitative data analysis. Finally, we outline our framework for a tensional approach to data analysis and illustrate examples of putting this approach into practice in our own study. Our tensional approach (1) explores key moments of tension; (2) seeks out unease and discomfort; (3) involves researcher and research participants in ongoing dialogue; (4) and embraces multiple perspectives on a range of tensions during the data analysis process. It encourages uncertainties and questions instead of pursuing certainty of meaning and fixed conclusions.

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