This study aims to determine the effect of advertising exposed by Lazada Indonesia on Facebook toward online purchase intention among the youth in Aceh, particularly the students of Syiah Kuala University. This study uses the Hierarchy-Effect Model to determine the advertising impact. This study used a simple linear regression test. The data were collected through a survey on 155 respondents selected using quota sampling technique from the 12 faculties of Syiah Kuala University. The results of simple linear regression analysis show that the exposure of advertising posted by Lazada Indonesia on Facebook significantly influenced the online purchase intention of Syiah Kuala University students with the impression of 73.2%. The higher the exposure of Lazada advertising on Facebook, the higher the online purchase intention of Syiah Kuala University students.

The purpose of this study is to analyze the effect of green innovation (GI) on environmental performance (EI), the effect of green supply chain management (GSCM) on GI, and finally the effect of GI on environmental performance (EP) in the digital era. The study uses quantitative research methods and descriptive statistics. The sampling technique used is non-probability sampling with the type of purposive sampling. Respondents used in this study were 190 employees of small and medium enterprises (SMEs). Data was obtained by distributing online questionnaires through social media. The analytical technique used in this research is based on descriptive analysis and Structural Equation Model (SEM) using Partial Least Square (PLS). The results of this study indicate that GSCM practices have a significant positive effect on EI, GSCM practices have a significant positive effect on GI, GI has a significant positive effect on EP and, finally, GI mediates the relationship between GSCM and EP.

In recent time, corporate social responsibility (CSR) has been a critical item on the agenda for many business firms. Organizations now go beyond their economic obligations and are particular-ly meticulous in considering and assessing the impact of their activities on the environment. The objectives of the study are to examine the effect of Environmental focused CSR activities on cor-porate image and also to investigate the effect of Ethical CSR activities on Customer Relation. 240 copies of questionnaire were administered to Nigeria brewery staffs in Ogun State, Nigeria to get primary data that treated and tested appropriate research questions and hypotheses accordingly. The study adopted survey method and Cronbach Alpha for test retest reliability. The study found out that there was a significant relationship between ethical activity and customer relations and the relationship between environment activities and corporate image was significant. The study recommends the managements should ensure they plan strategically to enhance corporate social responsibility.

Portfolio selection is a business process which has helped organisations identify an area of com-petitive advantage and it is a major concern to industrial players in the banking sectors. In order to enhance bank portfolio selection, cost, profitability, time and location are important parameters that decision-makers often consider. This study implements a fuzzy-TOPSIS (Technique for Or-der Preference by Similarity to Ideal Solution) framework to evaluate three potential portfolios (automated teller machine gallery, quick service point and branch) for a bank using the infor-mation from three decision-makers. An illustrative example of real bank information is used to demonstrate the proposed framework applicability. The complex proportional assessment of al-ternatives (COPRAS) method is also used as an evaluation technique and the results are com-pared, which yields that the results from the ranking order of fuzzy-TOPSIS and COPRAS were different. However, there is a consistency between the aggregation of intuition-based, fuzzy-TOPSIS and COPRAS ranks and fuzzy-TOPSIS ranking results. The presented framework is an easy-to-apply tool that improves portfolio selection decision in the banking system.

This study aims to explain the partial and simultaneous effect of green innovation, competitive advantage and empowerment on marketing performance. Quantitative research method is used through data collection from online surveys with a sample of 130 respondents. Green innovation variable with innovation indicators in processes and products, competitive advantage variable with unique product indicators, flexibility, customer relationships and empowerment variables are measured from the dimensions of market development, knowledge and facilities. The marketing performance variable is expressed in three dimensions, namely sales, growth, and market share. The measurement of respondents' answers to the questions in the questionnaire adopts a Likert scale consisting of seven alternative answers. Furthermore, the results of the questionnaire are analyzed using multiple linear regression with the help of the SPSS program. The results of the research indicate that competitive advantage and empowerment have a positive and significant effect on marketing performance, however, green innovation has a negative and insignificant effect on marketing performance. Simultaneously there is a positive and significant effect of green innovation, excellence competitiveness and empowerment on SME marketing performance.

Historically, cash dividends are the most important form of payout policy; however, they have been losing popularity relative to share repurchases. This paper examines the signaling effect of the payout decisions namely, cash dividends and share repurchases by BSE 500 index companies. It attempts to uncover the underlying forces behind the firm’s choices of payout policy in the Indian context. Using the standard ‘Event Standard Methodology’, a strong case of positive signaling is reported in case of repurchase announcements vis-a-vis cash dividend announcements. It is observed that cash dividends are not perceived by investors as positive signals as they prefer their earnings to be retained by the companies for growth prospects. In case of share repurchases, the existence of undervaluation, signaling and wealth transfer hypotheses is reported, consistent with the fact the share repurchases are welcomed by the Indian companies. The results would provide insights into the economics of the choice between cash dividends versus share repurchases as payout mechanism adopted by the sample companies. The findings would also be useful to the academia as well as industry in understanding the payout practice and the extent to which the Indian managers use the assumptions, models and decision rules regarding payout.

Liver disease indicates inflammatory condition of the liver, liver cirrhosis, cancer, or an overload of toxic substances. A liver transplant may reinstate and extend life if a patient has severe liver disease. In the last few years, machine learning (ML) based diagnosis systems have played a vital role in assessing liver patients which eventually leads to proper treatment and saves human life. In this study, we try to predict liver patients by adopting a hybrid feature extraction method to enhance the performance of the ML algorithm. Medical data frequently exhibits non-linear patterns and class imbalances. This is undesirable for the majority of ML algorithms and degrades performance. Here, we present a hybrid feature space that combines t-SNE, Isomap nonlinear features, and kernel principal components that can explain 90% of the variation in the data as a solution to this issue. Before feeding the ML model, data preprocessing techniques including class balancing, identifying outliers, and impute missing values are used. A simulation study and ensemble learning also conducted to justify the proposed prediction performances. Our suggested hybrid non-linear feature exhibits a 2-20 % improvement over existing studies and the ensemble classifier achieved an ideal and outstanding accuracy of 91.33 %.

This research intends to formulate a new system for the promotion of online news in Indonesia. By using Information System Success Model (DeLone and McLean), this study develops a new system for promoting news through social media. The study focuses on journalistic work with Ethnographic methods from James Spardley. After doing Ethnographic research, this study pro-vides a comprehensive system, which can be used for all online mass media in order to promote the news to get the maximum number of readers.

In this study the degradation of an azo dye, Methyl Red, which is used in textile industry, using Fenton reaction was studied and optimized by a chemometrics method. Fenton oxidation is one of the Advanced Oxidation Processes (AOPs), in which hydroxyl radicals are generated from Fenton’s reagents (Fe2+, H2O2). The effects of various experimental parameters in this reaction were investigated using Central Composite Design (CCD) method. The experimental design was done at five levels of operating parameters. 28 experiments, with 4 factors and 5 levels for each factor were designed. These factors (or variables) include [Fe2+], [H2O2], [oxalate] and the reaction time. A full-quadratic polynomial equation between the percentage of dye degradation (as the response) and the studied parameters was established. After removing the non-significant terms from the model, response surface method was used to obtain the optimum conditions. The optimum ranges of variables were: 0.1 - 0.4 mM for [Fe2+], 13.5-22 mM for [H2O2], 1.5-2 mM for [Oxalate], and 115-125 min for the reaction time. Also the results of extra experiments showed that these optimized values can be used for real samples and yield to high values for the response.

Many supplier selection problems are involved with various criteria such as quality of supplier, price, delivery time, etc. This paper presents a survey on the implementation of using different multi criteria decision making (MCDM) methods for supplier selection problems. The reviews covers recent advances of MCDM techniques such as data envelopment analysis (DEA), analytical hierarchy process, etc. over the period 2000-2012. The review also reveals that nearly 60% of the applications are associated with business unit, 15% is related to economy, 9% is devoted to service and development and 8% is dedicated to research and development. In our survey, DEA has become the most popular technique for supplier selection problem followed by Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytical Hierarchy Process (AHP).