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The purpose of this study is to examine the effect of religiosity and customer trust on brand loyalty among Generation Z (Muslim consumers in Indonesia), during a particular timeframe (post-Israeli-Palestinian conflict), thereby adding nuanced insights to consumer behavior research in a globalized context. The study is located in Cirebon, Indonesia, with research subjects namely consumers who buy products from McDonald's and people who follow the issue of boycotting Israeli products from the Palestinian conflict among FEB Management students of Universitas Swadaya Gunung Jati. The results of the fit model test show that religious values and consumer trust significantly impact McDonald's brand loyalty in the Z generation. Consumer trust has a positive and significant effect on Brand loyalty (Z), with the remaining (1 - 0.505) = 0.495 (49.5%), which is influenced by other variables not determined by the model. This research contributes by bridging the gap between religious values, consumer trust, and brand loyalty, in the post-israeli conflict Z generation (Generation Z, Muslims in Indonesia). The study suggests strengthening the involvement of consumers through social media and promotional events, while also considering the importance of religious beliefs in decision-making. [ABSTRACT FROM AUTHOR]

Research on sustainable marketing is mapped using bibliometric analysis, which offers a thorough picture of the field's current condition and future directions. By means of bibliometric analysis using VosViewer and the collection of 1.385 articles, the study indicates a noteworthy increase in publications and citations concerning the subject matter during the last ten years. Several important clusters actively studying Sustainable Marketing, including sustainable consumer behavior, sustainability orientation, consumption patterns, market segmentation, and stakeholder roles, were found through analysis of author collaboration patterns. "Sustainable marketing research" is the core research area, and the bibliometric network visualization displays the essential terms and relationships between concepts. Though less thoroughly, subjects including customer capital, sustainable management, sustainable business, and digital marketing were also covered. This article's bibliometric analysis reveals some intriguing mapping findings. Collaboration in research articles is revealed by the author's analysis. The report also presents the findings from studies on sustainable consumer behavior. The study method on consumer sustainability challenges, including customer capital, spending, and behavior, is outlined by the bibliometric analysis. Bibliometric analysis, thus, offers a mapping of sustainability research, particularly in terms of offering significant insights on specific sustainability challenges like consumer difficulties. [ABSTRACT FROM AUTHOR]

This research was conducted to analyze the influence of E-Service Quality and Service Features on Customer Trust among Gojek application users. The data in this research was collected through distributing questionnaires and analyzed using quantitative analysis. The population taken was students at Swadaya Gunung Jati University with a sample of level 4 students. The sample taken was 208 respondents using a non-probability sampling technique, namely purposive sampling. In this study, the data was processed using SPSS version 25 with cross descriptive model analysis (Crosstab), as well as the relationship between the respondent's character and the question variables. And to test the data using validity and reliability tests. The research results show that EService Quality has a significant influence on Customer Trust, Service Features have a significant influence on Customer Trust, and the two variables between E-Service Quality and Service Features both have a significant influence on Customer Trust. [ABSTRACT FROM AUTHOR]

The rapid development of artificial intelligence (AI) technology has revolutionized the digital marketing landscape, enabling marketers to improve efficiency, personalization and strategic decision making. This research aims to map research trends related to the application of AI in digital marketing through bibliographic analysis. Qualitative research methods with a historical approach are used to collect and analyze scientific articles from leading international journals. Bibliometric analysis was performed with VOSviewer software to visualize patterns and clusters of key terms. Results show a significant increase in the number of publications related to AI in digital marketing, with a focus on topics such as marketing strategy, customer experience, social media, e-commerce and industrial marketing. The visualization reveals the interrelationships and groupings of various terms, providing insight into the current research landscape. This study contributes to the understanding of trends, opportunities and challenges in integrating AI into digital marketing practices. These findings are useful for researchers and practitioners to identify future research directions and develop effective marketing strategies by leveraging AI. However, further research is needed to explore the ethical implications, data security and other aspects regarding the application of AI in the context of digital marketing. [ABSTRACT FROM AUTHOR]

In the rapidly developing digital era, competition between companies in the e-commerce sector is increasingly competitive. Social media is a supporting tool for consumers in sharing text, video, image and audio information, and currently technology is developing more quickly, because of the large number of internet users, therefore all activities can be done online, one of which is online shopping. one example is TikTok Shop. TikTok Shop is a social commerce feature that advertises and sells their products via TikTok. This shopping feature is present on TikTok as a response to increasing sales of various products after brands carried out promotions via social media platforms. Influencers are netizen actors who have social media accounts and continue to spread messages or campaign content to other netizens to strengthen the message or content. Influencer marketing is a marketing strategy in product sales by promoting a product by someone who is considered to have influence. Price is one component of a company's marketing strategy, with the aim of providing added value to consumers so that they continue to consume the products and services being sold. Consumers will tend to prefer a more affordable price to obtain an item. Consumers tend to prefer more affordable prices to get the goods they want. The aim of this research is to determine the formation of the Purchase Interest model which is influenced by Influencer Marketing and Price Perception. This research uses a side purposive method which involves selecting samples from the population studied based on certain criteria. Structural Equation Modeling (SEM) analysis was used to analyze the data. The results of the validity test output show that this research data is declared valid and the construct reliability test shows that each variable in this research is declared consistent. The statistical assumption test shows that it has a positive and significant effect on influencer marketing which can provide a stimulus to prices and purchasing interest which encourages customers to make purchases. The path analysis model fit test shows the similarity of several samples which can substitute for the population as a whole. [ABSTRACT FROM AUTHOR]

The paylater feature is a digital payment feature that uses an e- commerce platform, purchasing goods among teenagers is very lacking due to the economic conditions that are currently unstable. The method used in this research is quantitative method. The population in this study was conducted at the unswagati Cirebon campus, level 1-4 management study program as many as 147 respondents. The sampling technique used by researchers is non-probability sampling with purposive sampling technique and data analysis used in this researcher is regression and descriptive analysis then the analysis methods used in this study include validity test, cross tabulation, reliability test, normality test, multicollinearity test, hypothesis testing, path analysis fit model test using SPSS and amos Softwer analysis tools to test the effect of paylater and affiliate features on consumer buying interest. The results of this study indicate that the paylater feature has a positive effect on consumer buying interest, affiliates have an effect on consumer buying interest. Because the validity and reliability test results are less than 0.1362, the normality test is less than 0, 01, the multicoronality test is less than 10, hypothesis testing, the results show that all hypotheses are accepted, because the C.R value is more than 1.98, namely with a C.R value of 7.875 and 11.532 respectively. And the P value also shows the same result if the P value is less than 0.05 or symbolized * (below 0.01), it means that the two hypotheses have a significant effect or are accepted. path analysis fit model test is accepted because the GFT measure shows a P-value of more than 0.05, RMSE less than 0.08, CMIN less than 2.00, GFI less than 0.90, AGFI less than, 0.90, CFI more than 0.90, TLI more than 0.90. So it can be stated that the path analysis model fit test is accepted. [ABSTRACT FROM AUTHOR]

This study aims to analyze the influence of Live streaming and Flash sale variables on the Impulse Buying behavior of Shopee E-commerce users in Indonesia. The method used is quantitative with descriptive analysis techniques to explain the characteristics of the sample and inferential analysis techniques using SPSS and AMOS software analysis tools. The study population consisted of Shopee e-commerce users in Indonesia, with a sample of 140 respondents selected by non-probability methods with purposive sampling techniques and analysis methods used in this study namely validity test, reliability test, classical assumption test, cross-tabulation test and path analysis. Data was obtained by distributing google form questionnaires through social media. The results of the analysis show that the existence of Live Streaming and Flash Sale has a positive and significant effect on Impulse Buying. This research provides a deeper understanding of the factors that influence Impulse Buying behavior in the context of Live Streaming and Flash Sale of Shopee e-commerce users. The results of this study can provide guidance for Shopee and other e-commerce parties to design more effective marketing strategies and focus on Flash Sale to increase impulse purchases. The results of the validity test output show that the data of this study is declared valid and the reliability test shows that each variable in this study is declared reliable or consistent. The statistical assumption test shows a positive and significant influence, which means that quality Live Streaming can provide stimulus to the Flash Sale program which is a limited number of offers for a short period of time so that it can encourage users to make impulse purchases or unplanned purchases. The path analysis fit model test shows a match of several samples that can subsidize the population as a whole. [ABSTRACT FROM AUTHOR]

This study aims to determine the effect of the role of influencers, affiliate marketing, and online customer reviews at Shopee through TikTok content on Generation Z purchasing decisions. This research uses a quantitative approach by collecting data through an online survey of 199 respondents of the Management Study Program students class of 2020. The data were analyzed using multiple regression methods to evaluate the relationship between the independent variables of influencer roles, affiliate marketing, and online customer reviews and the dependent variable (purchasing decisions). The analysis results show that the role of influencers, affiliate marketing, and online customer reviews have a positive and significant influence on Generation Z's purchasing decisions. The findings emphasize the importance of integrating marketing strategies through influencers, affiliate marketing, and online customer reviews in influencing Generation Z's purchasing decisions. This provides guidance for businesses to utilize e-commerce platforms such as Shopee and TikTok content as an effective means of communication to reach and influence the Generation Z market. This research makes a new contribution to the understanding of how the role of influencers, affiliate marketing and online customer reviews on Shopee, particularly through TikTok content, can influence Generation Z's purchasing decisions. This research adds insight into effective marketing strategies to capture the attention and influence the consumption behavior of the younger generation in the context of e-commerce platforms. [ABSTRACT FROM AUTHOR]

Biodiesel, an alternative to traditional diesel, is essential for the sustainability of long-term energy supplies and often synthesized through a non-alcoholic route called interesterification. The described synthesis method facilitates the modification of oil and fat by exchanging acyl radical groups between triglyceride and alcoholic acid (alcoholysis), fat (acidolysis), or ester (transesterification). Therefore, this research aimed to determine the effect of the reactant ratio between crude palm oil (CPO) and dimethyl carbonate (DMC), along with the use of an eco-enzyme catalyst, on biodiesel characteristics. The CPO:DMC ratio was 1:1.5, 1:2, 1:2.5, and 1:3, while the immobilized eco-enzyme catalyst was 2%, 3%, 4%, 5%, and 6% of CPO mass. The results showed that interesterification with a 1:3 reactant ratio using a 4%wt catalyst was the best procedure, producing biodiesel yield of 73.65%, density of 0.860 g/mL, viscosity of 4.63 mm2/s (cSt), flash point of 113 °C, calorific value of 34.454 MJ/kg, and cetane number of 70.6%. [ABSTRACT FROM AUTHOR]

Technology has a big and significant impact on everyone's life. This is due to the increasing development of technology from time to time and is supported by the internet. Until now, the internet has become a necessity for society, because the internet supports all community activities in terms of communication and information, and makes it easier for everyone, whether working, studying or carrying out other activities. In this case, ever-increasing progress means that everyone can take advantage of a situation that can be called digital technology. This allows advertising targeting to the general public which is very focused on communicating with each other, tracking potential buyers and engaging them in related content. Advances in communication and network technology, especially the internet, provide the infrastructure needed for businesses that are run using the internet. The very rapid development of computer and telecommunications technology (information technology) today has resulted in a revolution in the world of trade and industry. In this research, the author used a qualitative research method with a bibliometric approach. In this bibliometric approach there are four analyses, namely, co-authoring analysis, bibliometric network visualization analysis, overlay visualization analysis, and density visualization analysis. This provides an overview and a mapping to the reader regarding a preparation related to Digital Marketing Strategy. [ABSTRACT FROM AUTHOR]

People are becoming more aware of environmental difficulties in this time of globalization. Waste is one such problem, as waste is a major source of pollution in the air, soil and water. It is hoped that all individuals and businesses in Indonesia, including consumers, will increase awareness and concern for the environment as an effort to preserve and restore the earth's ecosystem. Emina products are one example of a company that prioritizes sustainability in its systems and products at PT Technology and Innovation. Emina is considered a product that contributes to a positive reputation and values social responsibility. Green marketing includes all efforts and endeavors directed at promoting, packaging, distributing, consuming, and recalling products through environmental awareness or response. Corporate social responsibility is a condition in which businesses must continue to pay attention to the environment in an effort to reduce environmental problems that have occurred or are occurring. To achieve sustainable growth and performance, corporate social responsibility is an initiative that is integrated into the investment strategy and is considered a corporate social obligation. Brand image, alongside environmental concerns and corporate social responsibility will emerge as an important consideration for companies in the coming years. Consequently, brand image is consumers' and customers' perception of a brand, which in turn inspires trust in the brand. This research highlights the importance of green marketing and environmental accountability in general by building a good perception of the organization's brand within the local community. The purpose of this study is to determine the correlation between brand image (Z) and the impact of corporate social responsibility (Y) and green marketing (X). Uncertainty surrounds most Emina product users who make up the population of this study. In the absence of population information, the sample size for a given study will be calculated based on criteria for an unknown population, resulting in a total of 100 respondents. This research will use a purposive sampling method, which involves selecting a sample from the population under study based on certain criteria. Regression analysis and path analysis will be used to analyze the data. Hypothesis testing, validity and reliability tests, normality and multicollinearity tests, path analysis model fit tests, and SPSS and AMOS Softwer analysis tools will be used for data analysis. According to the findings of this study, green marketing influences consumer perceptions of Emina products favorably, thereby contributing to improved environmental stewardship. Emina is perceived as an ethical and socially responsible entity, which positively impacts its reputation. [ABSTRACT FROM AUTHOR]

Creative spaces have become important places that encourage innovation, collaboration, and imagination in various fields. This study investigates the complex dynamics of creative spaces by studying physical, social, and psychological aspects. We do this from the perspective of different disciplines and designs and see how special characteristics and creative processes interact with each other. We investigate the influence of spatial confirmation, atmosphere, and accessibility on individual creativity and productivity in this setting using mixed methods, including qualitative case studies and quantitative analysis. Our results show that design components such as layout flexibility, natural lighting, and aesthetic appeal influence how people think and interact with others. All this forms a broad creative experience. In addition, this research investigates how organizational culture, leaders and community dynamics play a role in building and maintaining creative ecosystems in these places. By explaining the complex relationship between the physical environment and human behaviour our research offers insights for practitioners, policy makers, and educators who want to create better creative spaces for collaboration and innovation. Using the Visualization of Similarities (Vos Viewers) tool, this research uses qualitative and bibliometric techniques. Using Vos Viewers you can search 992 articles by entering keywords such as; creative space; digital space; customer experience; and metaverse reduction. The results of the analysis show scientific mapping and potential for future research regarding creative spaces as a new marketing world. These results can be used as recommendation variables for researchers conducting further research. [ABSTRACT FROM AUTHOR]

This study aimed to describe: (1) the background of the brain gain actors; (2) the shoreline of brain gain actors; (3) basic decisions of actors to do a brain gain; (4) motivation of actors to do a brain gain; (5) the brain gain actors adaptation process; and (6) the design model of the brain gain process in the highlands of West Java. The results showed that: (1) the average of brain gain actorshave undergraduate education, non-formal education, work experience in non-agriculture and business experiencein agriculture.They are categorized into primary actors, secondary actors and tertiary actors; (2) the shoreline actors spread of major cities in West Javato overseas; (3) the decision of brain gain is based on the consideration mental-rational, personal-emotional, awareness-collectivity, productive-adaptive, exploitative-reproductive, informal-integration, innovation-regeneration and participation-nonformal; (4) the brain gain motivation of primary actorsis guarantee income of vegetables on-farm, secondary actors is guarantee incomeof vegetable off-farm and tertiary actors isenvrinment advocating and creation of alternativebusiness; (5) the adaptation process of actors ranging from 1-3 years, through four stages of evolution and adaptation types are varied; and (6) the process of brain gain a precondition in independence developmentof young actors. The adaptation process of brain gain acors is slow, hence the need to strengthen the agribusness practical experience to potential brain gain actorswill return to the rural area. Keywords : agribusiness young actor, shoreline, decision, motivation, adaptation, brain gain

The accuracy of air quality detection is a crucial aspect influencing user trust and satisfaction with artificial intelligence (AI) based air quality detection applications. However, only a few studies have tested the effect of the accuracy of AI-based quality detection on users' acceptance and use of these applications. This study aims to fill this gap by addressing the impact of perceived accuracy on behavioral intention and behavior using the AIKU application. This research uses a quantitative approach with the online survey method, distributed in January 2023 - February 2023 to AIKU users. Valid data were 287 respondents from 317 who were received and analyzed using partial least squares structural equation modeling (PLS-SEM). This study uses a modified technology acceptance (TAM) model by adding perceived intelligence as a mediating variable between perceived accuracy and usefulness. The results showed that nine hypotheses were accepted from the 13 hypotheses proposed. The results section of hypothesis testing shows that the effect of perceived AIKU application accuracy on perceived usability and ease of use is insignificant. However, these influences indirectly affect the behavioral intentions and attitudes of users. Even if users do not perceive purity as an essential factor, the user's attitude towards the application is still positive. This study makes a theoretical contribution by developing the TAM model by incorporating variables of perceived accuracy and perceived intelligence relevant to the AI-based context. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic is a virus that is changing habits in human life worldwide. The COVID-19 outbreaks in Indonesia have forced educational activities such as teaching and learning to be conducted online. Teaching and learning activities using the online method are familiar, but the effectiveness of this method still needs to be investigated to be applied in all educational systems. This study used the predictive modeling of Recurrent Forecasting (RF) derived from Singular Spectrum Analysis (SSA) to know the online learning method's practicality on the student's academic performance. The fundamental notion of the predictive fusion model is to improve the effectiveness of several forms of forecast models in SSA by employing a fusion method of two parameters, a window length (L), and a number of leading components (r). This study used undergraduate students' grade point averages (GPA) from a public university in Indonesia through online classes during the COVID-19 epidemic. The experiments unveiled that a parameter of L = 14 (T/20) yielded the finest prediction using the RF-SSA model with a root mean square error (RMSE) value of 0.20. Such a finding signified the ability of the RF-SSA to project the students' academic performance according to the GPA for the forthcoming semester. Nonetheless, developing the RF-SSA algorithm for greater effectiveness is essential to acquiring more datasets, such as by gathering a bigger group of respondents from several Indonesian universities. [ABSTRACT FROM AUTHOR]