scholarly journals Impact of Facebook and Newspaper Advertising on Sales: A Comparative Study of Online and Print Media

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yushan Lin ◽  
Zubair Ahmad ◽  
Wasswa Shafik ◽  
Saima K. Khosa ◽  
Zahra Almaspoor ◽  
...  
Keyword(s):  
Quantitative Research ◽  
Statistical Tests ◽  
Secondary Data ◽  
Research Approach ◽  
Statistical Tool ◽  
Family Approach ◽  
Advertising Budget ◽  
Proposed Model ◽  
Heavy Tailed ◽  
Linear Regression Modeling

Marketing means the strategies and tactics an organization undertakes for attracting consumers to promote the buying or selling of a product or service. Active marketing is about receiving messages from potential buyers to create ways to influence their purchasing decisions. Advertising is one of the most prominent marketing strategies to promote products to consumers. It is well known that advertisement has a significant impact on the sale of certain goods or services. In this paper, we consider two mediums of advertisement, such as Facebook (which is an online medium) and Newspaper (which is a printed medium). We consider a dataset representing the advertising budget (in hundreds of US dollars) of an electronic company and the sales of that company. We apply the quantitative research approach, and the data which are used in this research are secondary data. For analysis purposes, we consider a statistical tool called simple linear regression modeling. To check the significance of the advertising on sale, definite statistical tests are applied. Based on the findings of this research, it is observed that advertising has a significant impact on sales. It is also showed that spending money on advertising through Facebook has better sales than newspapers. The finding of this research shows that the use of computer-based technologies and online mediums has a brighter future for advertising. Furthermore, a new statistical model is introduced using the Z family approach. The proposed model is very interesting and possesses heavy-tailed properties. Finally, the applicability of the proposed model is illustrated by considering the financial dataset.

scholarly journals The Role of Twitter Medium in Business with Regression Analysis and Statistical Modelling

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jia Cong ◽  
Zubair Ahmad ◽  
Basim S.O. Alsaedi ◽  
Osama Abdulaziz Alamri ◽  
Ibrahim Alkhairy ◽  
...  
Keyword(s):  
Positive Impact ◽  
Statistical Tests ◽  
Statistical Modelling ◽  
Proposed Model ◽  
Media Platform ◽  
Heavy Tailed ◽  
Linear Regression Modeling ◽  
The Impact ◽  
A Company

Marketing refers to the strategies a company undertakes to promote its brands to its potential audience. Advertising provides useful venues for marketing to promote a company’s survives/goods to the audience. It has a positive impact on the sale of services or products. In this study, we consider a well-known online medium called Twitter (the fourth most popular social media platform used by marketers) to check its impact on sales. For this purpose, the simple linear regression modeling approach is implemented to test the significance and usefulness of Twitter advertising on sale. Statistical tests such as t-test and correlation test are adopted to test the hypothesis of the “impact of Twitter advertising on sales.” Based on the findings of this study, it is observed that Twitter advertising has a positive impact on sales. Furthermore, a new statistical model called the exponential T-X exponentiated exponential is introduced. The proposed model is very interesting and possesses heavy-tailed characteristics which are useful in finance and other related sectors. Finally, the applicability of the new model is illustrated by considering the sales data.

scholarly journals Dampak Budi Daya Tambak Udang Terhadap Ekosistem Mangrove

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Cornelia Mirwantini Witomo
Keyword(s):  
Quantitative Research ◽  
Secondary Data ◽  
Mangrove Ecosystem ◽  
Fish Pond ◽  
Creative Economy ◽  
Research Approach ◽  
Policy Recommendations ◽  
Fish Ponds ◽  
Literature Study ◽  
Mangrove Ecosystems

Tujuan dari penelitian ini adalah untuk mengidentifikasi dampak yang ditimbulkan oleh kegiatan budidaya tambak udang terhadap ekosistem mangrove dan memberikan rekomendasi terhadap pengelolaan ekosistem mangrove kedepan. Pendekatan penelitian yang digunakan adalah kombinasi penelitian kuantitatif kualitatif. Jenis data yang digunakan dalam penelitian ini adalah data sekunder. Data sekunder yang dimaksud adalah luasan mangrove pada waktu yang berbeda, luasan budidaya tambak pada waktu yang berbeda, perkembangan volume produksi budidaya tambak, dampak lingkungan, ekonomi dan sosial akibat degradasi ekosistem mangrove. Sumber data sekunder diperoleh dari hasil penelitian terdahulu yang sesuai dengan topik bahasan dalam penelitian serta publikasi dari instansi terkait. Metode pengumpulan data penelitian ini adalah studi pustaka kemudian dianalisis dengan metode analisis data sekunder secara deskritif dan dipresentasikan dalam bentuk tabulasi dan grafik. Dampak yang timbul akibat degradasi ekosistem mangrove adalah: (1) Terjadinya erosi garis pantai dan sempadan sungai; (2) Sedimentasi; (3) Pencemaran; (4) Berkurangnya fungsi ekologi dan secara langsung akan mempengaruhi fungsi ekonomi dengan berkurangnya jumlah tangkapan nelayan; serta (5) terjadinya intrusi air laut. Implikasi pada sosial ekonomi adalah ketahanan pangan menjadi rawan dan tingginya perpindahan penduduk untuk mencari sumber mata pencaharian lainnya. Rekomendasi kebijakan untuk memperbaiki ekosistem mangrove dan mengurangi dampak adalah melakukan rehabilitasi ekosistem mangrove dengan melibatkan masyarakat secara aktif dan melakukan praktek perikanan yang berkelanjutan sebagai contoh menerapkan perikanan organik yang saat ini menjadi dasar untuk pembelian ekolabeling sebagai bentuk peningkatan sertifikasi sebagai komoditas ekspor serta pembentukan ekonomi baru yang kreatif dalam pemanfaatan mangrove seperti ekowisata, penyediaan warna alami untuk batik dan pembuatan olahan makanan.Title: Impact of Shrimp Fish Pond towards to Mangrove EcosystemThe objectives of this study are to identify the impacts caused by shrimp fish pond activities on mangrove ecosystem and provide recommendations for the management of the future mangrove ecosystem. The research approach used a combination of qualitative quantitative research. The type of data used in this study is secondary data. Secondary data consist of the extent of mangroves at different times, the extent of fish pond at different times, the development of the volume of production of fish ponds, environmental, economic and social impacts due to the degradation of mangrove ecosystems. Secondary data sources were obtained from the results of previous studies in accordance with the topic of discussion in research and publications from relevant agencies. The method of collecting data in this study is a literature study and then analyzed by descriptive secondary data analysis method and presented in the form of tabulations and graphs. The impacts arising from the degradation of the mangrove ecosystem are (1) the occurrence of shoreline erosion and river boundaries, (2) sedimentation, (3) pollution, (4). reduced ecological functions and will directly affect economic function by reducing the number of fishermen’s catches and (5) the occurrence of seawater intrusion. The implications for socio-economic conditions are food security is vulnerable and the high population movement to find other sources of livelihood. Policy recommendations to improve mangrove ecosystems and reduce impacts are to rehabilitate mangrove ecosystems by actively involving the community and carrying out sustainable fisheries practices as an example of implementing organic fisheries which is currently the basis for purchasing ecolabeling as a form of increasing certification as export commodities and forming a new creative economy in the utilization of mangroves such as ecotourism, providing natural colors for batik and making processed foods.

scholarly journals Determinants of capital structure: Evidence from Sidama credit and saving microfinance institution

2021 ◽  
Vol 9 (3) ◽  
pp. 289-300
Author(s):  
Alemayehu Taddese
Keyword(s):  
Regression Analysis ◽  
Capital Structure ◽  
Quantitative Research ◽  
Secondary Data ◽  
Current Status ◽  
Research Approach ◽  
Microfinance Institutions ◽  
Analysis Model ◽  
Explanatory Variables ◽  
Microfinance Institution

Different industry-specific and macro-economic factors influence the capital structure of microfinance institutions (MFI). So, the objective of this study is to identify industry-specific determinants of capital structure with the selected branch of Sidama MFI, Sidama region, Ethiopia. To this end, the researcher employed a quantitative research approach with an explanatory research design where the effect caused by the independent variable on the dependent variable is observed through regression analysis. The secondary data were collected from Sidama MFIs consolidated and audited financial statements from 2009 to 2019 G.C. Then, both descriptive and inferential statistical analysis has been done. The researcher employed a regression analysis model to identify the effect of five explanatory variables on capital structure measured through debt to equity ratio. Thus, the result of regression analysis showed that out of five independent variables incorporated in the model, all five variables such as growth (negative), profitability (positive), firm size (positive), earning volatility (positive), and asset tangibility (positive) and statistically significant respectively. This study recommends that the microfinance institutions at all company levels improve debt capacity in proportion to asset tangibility more than the current status.

scholarly journals The Impact of Trade Deficit in Nepalese Economy

2021 ◽  
Vol 4 (1) ◽  
pp. 65-80
Author(s):  
Jabed Mansuri
Keyword(s):  
Quantitative Research ◽  
Export Performance ◽  
Secondary Data ◽  
Trade Deficit ◽  
Trading Partner ◽  
Secondary Source ◽  
Statistical Tool ◽  
Major Trading Partner ◽  
Exploratory Data ◽  
The Impact

This study aims to explore more information about the economic performance of Nepal and the impact on the economy caused by foreign trade. The trade deficit impacted directly on the financial performance of the country. It affected the GDP of the nation, supply side, interest rate, price of commodities and FDI. The article has discussed the relationship with the major trading partner of Nepal and other countries. Besides this, a quantitative research method was used in this research paper. Information in this article was collected from a secondary source of data. The reliability of this study depended on the reliability of secondary data. The analysis was based on a simple statistical tool. Concerning the methodology, it is based on exploratory data analysis. The comparison has been made in this paper with primary trading partner countries India, China and other countries. This study has found the deficient export performance of Nepal, which has created the problem of rapidly increasing trade deficit. Trade deficit became one of the major causes that lead the national economy to downturn side.

scholarly journals Small Business and Their Challenges During COVID-19 Pandemic in Developing Countries; in Case of Ethiopia

2020 ◽  
Author(s):  
Abriham Ebabu Engidaw
Keyword(s):  
Developing Countries ◽  
Data Analysis ◽  
Small Business ◽  
Small Businesses ◽  
Quantitative Research ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Research Approach ◽  
Non Governmental Organizations ◽  
The Government

Abstract The main objective of this study was to demonstrate the challenges of small businesses during corona virus pandemic in developing countries specifically in Ethiopia. Methodologically, the study deployed secondary data analysis followed descriptive research design. Also, this study was conducted through both qualitative and quantitative research approach. The secondary data analysis result shows that many small and large businesses are suffering challenges and this unprecedented coronavirus crisis has caused destruction for many businesses in the globe and it is challenging to survive with reduced revenue, jobs lost and life slowing down and weak marketing performance even difficult to keep a calm head and their business alive. To support these businesses the government should use different mechanisms by cooperating with wealthy peoples and other non-governmental organizations. Besides, the small business owners should manage expectations and communicate with staff, suppliers, banks, and customers throughout this coronavirus frightening. Reduce expenses, be open to their employees about their finances and keep marketing, use different alternatives to deliver their product and recover from the crisis.

scholarly journals Covid-19 Perception: A Survey in Kano Metropolis, Nigeria

2020 ◽  
pp. 83-89
Author(s):  
Ibrahim Farouq ◽  
Zunaidah Sulong ◽  
Nuraddeen Umar sambo
Keyword(s):  
Experimental Observation ◽  
Quantitative Research ◽  
Economic Status ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Research Approach ◽  
Socio Economic Status ◽  
Metropolitan City ◽  
Primary Focus

The primary focus of this study is to examine the psychological perception of individuals towards Covid-19 in Kano metropolitan City of Nigeria, and how it affects their income level. This analysis uses a descriptive quantitative research approach and, as per Sutton, a descriptive analysis produces both primary and secondary data. It was further emphasized that descriptive analysis uses experimental observation to assess and identify what has been observed. In this study, we further use the proportional sampling technique. We conducted the survey in the seven-metropolitan city of Kano State, Nigeria, given their diverse socio-economic status. The estimated total number of populations is 3,999,000. Using the Krejcie-Morgan table, 384 sample size was suggested, however, there was a provision for the unexpected, as such we distributed 400 questionnaires. The findings showed that there were 91.2% respondents who did not perceive Covid-19 pandemic as something to be psychologically worried about. Likewise, 91.1 percent of the respondents have answered not really anxious or feel not comfortable about the issue of Covid-19 pandemic, and lastly, 91.2 percent of the respondents answered not depressed about the situation in any way.

Investigating the logistics costs model: recent update in Indonesia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Effnu Subiyanto
Keyword(s):  
Statistical Tests ◽  
Empirical Studies ◽  
Practical Experience ◽  
Statistical Tool ◽  
Content Type ◽  
Future Possibility ◽  
Proposed Model ◽  
Independent Variable ◽  
Practical Implications ◽  
Shed Light

Purpose This study aims to shed light on defining precisely variables of logistics costs model in Indonesia’s cement projects and generally other projects scientifically. The variables have previously so far been identified based on pragmatism and practical experience without rigorous scientific and empirical findings. The models are deeply awaited by every project practitioner, especially project controllers, in Indonesia. Design/methodology/approach Data for the period 2010–2018 of eight cement projects were taken in quarterly and tested with a statistical tool EVIEWS10 to develop a robust proposed model. Investigating models were done by literature studies and empirical studies, and the results had been examined by statistical tests to be determined as robust or not-robust models. The certain period taken due to the availability data of the cement projects in which after 2018 was unavailable because the cement product is overcapacity in Indonesia. Findings The model proposed is resulted by synthesizing logistics literature and empirical from the cement projects in which the model consists of foreign logistics costs, domestic manufacture, and domestic logistics costs as the best findings to develop logistics model for the cement projects with a-10 independent variable. It significantly found the variable of foreign logistics costs have taken higher portions in the model, and therefore must be prior carefully anticipated. Practical implications To guide investors to alert with several important variables of logistics in Indonesia. As education that to invest in Indonesia, the best logistics model must prior be known to anticipate further uncertainty. Originality/value This study is advanced applied research of logistics models developed by author for future possibility implementation in the sector beyond cement projects.

scholarly journals PENGARUH MODEL TIGA FAKTOR FAMA DAN FRENCH TERHADAP EXPECTED RETURN: STUDI PADA TUJUH SAHAM PERBANKAN KONVENSIONAL DI INDONESIA

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Alfi Muflikhah Lestari
Keyword(s):  
Significant Influence ◽  
Quantitative Research ◽  
Research Result ◽  
Secondary Data ◽  
Market Value ◽  
Positive Influence ◽  
Research Approach ◽  
Expected Return

This research aims to look at the influence of three factors model of Fama and Frencagainst the expected return on a stock of conventional bankaing with seven best performance in Indonesia the period 2010-2014. The data used are secondary data with quantitative research approach by using a classic assumption test. The research result showed that (1) Return the market has a positive influence but not significantly to your expected return, (2) Size SMB has a positive and significant influence against the expected return and (3) Book to market value (HML) has a positive and significant influence against expected return.

scholarly journals Safety And Health Implementation Study Work (K3) In Coal Mining Companies (Case Study: PT. XYZ)

2019 ◽  
Vol 3 (3) ◽  
pp. 75-79
Author(s):  
Arafik Arafik ◽  
Restu Juniah ◽  
Mohammad Zulkarnain
Keyword(s):  
Coal Mining ◽  
Quantitative Research ◽  
Occupational Safety ◽  
Secondary Data ◽  
Analysis Data ◽  
Occupational Safety And Health ◽  
Primary Data ◽  
Research Approach ◽  
Mining Company ◽  
Safety And Health

This study aims to analyze the implementation of occupational safety and health (K3) in the coal mining company PT XYZ, Analyze and identify the factors that influence the implementation of occupational safety and health (K3) in the mining company PT XYZ. This research is a descriptive qualitative and quantitative research approach. Primary data obtained from respondents are used as a means to obtain information or data carried out by field surveys through direct observation and interviews with respondents in the company and secondary data obtained from PT XYZ collected and compiled according to the problem of this study which was conducted in literature studies. Data were analyzed through text analysis, data interpretation. Data were analyzed using the SPSS (factor analysis) program to analyze the factors that influence the implementation of occupational safety and health in the coal mining company PT XYZ.

scholarly journals Productivity Measurement: A Study of Selected Pharmaceutical Companies in India

2021 ◽  
Vol 2 (3) ◽  
pp. 101-112
Author(s):  
Abhisha Dadhaniya
Keyword(s):  
Statistical Tests ◽  
Production Capacity ◽  
Secondary Data ◽  
Pharmaceutical Products ◽  
Pharmaceutical Companies ◽  
Productivity Analysis ◽  
Productivity Measurement ◽  
Statistical Tool ◽  
Average Productivity ◽  
Significant Difference

Purpose: This study aims to measure, analyze, and compare the productivity performance of selected pharmaceutical companies in India. Approach/Methodology/Design: This study is based on secondary data. In this study, seven pharmaceutical companies are selected as a sample based on paid-up capital of the year 2019-20. The seven companies are selected for their higher paid-up capital, and the study period is seven years from 2013-14 to 2019-20. In this study ratio analysis is used as an accounting tool in which four productivity ratios are employed. The one-way ANOVA technique of parametric test is used as a statistical tool to identify the difference among sample means. Findings: The major findings of the study indicate that in all the selected companies the performance of material productivity, labor productivity and overhead productivity show fluctuating trend. The overall productivity performance of all the companies is very close to each other during the study period of seven years. The result of the statistical tests revealed that in all productivity ratios drawn null hypotheses are not accepted. This means there is a significant difference in different productivity ratios among selected pharmaceutical companies during the study period. Practical Implications: In this study, productivity analysis is carried out which is helpful to measure the productivity performance. The results would help investors to make the right choice of investment in selected pharmaceutical companies. Given the present situation of COVID-19, productivity analysis will be helpful to identify the existing production capacity in concern with pharmaceutical products and services. Originality/value: The significant contribution of this study is to measure the various productivity performances of pharmaceutical companies. Further, the average productivity performance is compared among the seven selected pharmaceutical companies, which shows that average productivity performance is different among the selected companies.

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