This study aims to bridge the theoretical gap in the relationship of business ability to build relationships with marketing performance in the digital economy era, marked by the application of IT in its business activities. The progress of the digital economy is currently increasing in response to the Covid-19 pandemic. Data collection was conducted by distributing questionnaires to the owners and managers of SMEs in the city of Medan. Questionnaires were distributed to 175 respondents using non-probability sampling and purposive sampling techniques. Testing models and hypotheses using Structural Equation Model (SEM) was conducted with AMOS software version 23. The results show that SMEs are more likely to build and develop database-based networks to improve marketing performance. It is empirically proven that digital marketing, strategy quality, and relationship-building skills improve SMEs' marketing performance in Medan City. Theoretically, this study contributes in highlighting the strategy quality and relational database as moderating variables in the relationship between relational capability and marketing performance in digital business.

The development of internet information technology has encouraged the presence of various application platforms that can be used for multiple needs. One application that is very widely used socially is the social media application. Through social media applications, users can share information according to their needs. The use of the internet also supports the use of streaming technology that makes it easier to carry out activities to watch movies online. The availability of information technology facilities and infrastructure makes it easier for people to get films. This study aims to study the influence of electronic worth of mouth on online customer loyalty through information sharing, perceived ease of use, and intention to use. This study collected data using questionnaires as many as 378 respondents of streaming technology users obtained from the spread of 1237 questionnaires, which means a response rate of 30.55%. Data analysis uses the partial least square technique to test the study's hypothesis. The results showed that electronic word of mouth directly affects perceived ease of use, intention to use, and information sharing. Perceived ease of use is based on the intention to use, information sharing, and customer loyalty. Information sharing directly affects the intention to use and online customer loyalty. The results also showed that intention to use impacts increasing customer loyalty. In addition to direct influence, the study's results showed that electronic worth of mouth indirectly affects online customer loyalty through information sharing, perceived ease of use, and intention to use. This research enriches the field of technology acceptance model with perceived ease of use, intention to use, and information sharing. Contributions to the theory of marketing behavior are related to electronic word of mouth and online customer loyalty. A practical contribution to companies engaged in the cinema and internet technology infrastructure providers is to sustainably apply streaming technology as a form of business that society uses.

Recent research on Social Media Marketing Activities (SMMA) in the airline industry emphasizes on areas of brand equity, but some research has looked into the function of brand equity in determining the impact of SMMAs on customers. This study aims to find out how service users and followers of Airline's Instagram social media profiles respond to SMMA, brand awareness, brand image, e-WOM and commitment. The data collection method in this study was done by distributing questionnaires to respondents as many as 386 service users and followers of the airline on Instagram social media. This study used Partial Least Square Structural Equation Model (PLS-SEM) to analyze data. Based on hypothesis testing, this study shows that SMMA has a significant positive effect on brand awareness and brand image. Furthermore, this study also reveals that brand awareness and brand image have significant positive effects on e-WOM and Batik Air airline commitment.

This study aims to determine and analyze the influence of private university digital leadership and information system success models (system quality, information quality, service quality) on the satisfaction of e-learning users of agricultural students. This research method is a quantitative survey, and the number of research samples is 323 agricultural students who were selected by a random sampling system. The sampling technique used is simple random sampling. The analytical method used is SEM with the help of SmartPLS 3.0 software. The results show that the role of digital leadership had a significant positive effect on the three variables of the information system success model. Likewise, system quality, information quality, and service quality have a significant positive and significant effect on user satisfaction of e-learning systems. This finding can increase the exploration ability of agricultural students as users to obtain various agricultural information. This finding confirms previous studies which state that usage has a significant effect on user satisfaction. Suggestions for further research, in this study only involves a single student perspective. Future research is recommended to use the perspective of the organization/institution (e-learning system management unit), lecturers, and university employees and agricultural stakeholders.

Digital startups are growing fast around the world, but new digital startups that are less than three years old or did not materialize when it came to funding while the business model is quite promising. Various literature shows that digital transformational leadership can encourage knowledge sharing and an organization's absorptive capacity to improve performance. This research investigates whether digital transformational leadership and empowering knowledge-based interaction, as well as the power of absorptive capacity, will be able to maintain digital startup sustainability through the improvement of performance. 144 digital startups that are established in a limited corporation and registered in the Baparekraf (Indonesia Tourism and Creative Economy Agencies) were used as the purposive sampling. Data collection was done through online questionnaires from each startup leader and processed with SmartPLS 3.0. The results of the research findings showed that the higher the degree of digital transformational leadership, the higher the degree of the digital performance of startups that include traction and financial performance, and also increased empowering knowledge-based interaction in the form of encouraging goal-oriented participative involvement, intra-team knowledge exchange, and continuous interactive engagement. Empowering knowledge-based interaction develops an absorption capacity process to produce the performance of digital startup organizations.

A time series is a stochastic process which is arranged by time simultaneously. In this article, a time series model is used in accordance with Box-Jenkins' procedure. The Box-Jenkins procedure consists in identifying the model, estimating the parameters and diagnostic checking. The time series model is differentiated according to the number of variables, i.e. univariate and multivariate. The univariate method for the time series model that is often used is the Autoregressive Integrated Moving Average (ARIMA) model and the multivariate time series model is the Vector Autoregressive Integrated Moving Average (VARIMA) model. In this research, we studied the ARIMA model which is studied with a non-constant error variance. In this case, the Autoregressive Conditional Heteroscedasticity (ARCH) model is applied to outgrow the non-constant error variance. Selection of the best model by examining the minimum AIC for each model. The ARIMA-ARCH model is implemented on rainfall data in Bandung city with Knowledge Discovery in Database (KDD) in Data Mining. The methodology in the KDD process, including pre-processing, data mining process, and post-processing. Based on the results of model fitting, the best model is the ARIMA (2,1,4)-ARCH (1) model. The result of forecasting rainfall in Bandung shows a MAPE value is 11%, which has a similar pattern with actual data for short time 2-4 days. From these results, we conclude that the ARIMA-ARCH model is a good model for forecasting the rainfall in Bandung city.

This research analyzes the effect of digital marketing, digital orientation, marketing capabilities, and information technology capabilities on marketing performance of Indonesian SMEs. The methods are quantitative methods and data analysis techniques using AMOS 23 software based on Structural Equation Modeling (SEM). The method of selecting the sample uses the purposive sampling methods. The study uses data based on questionnaires to 338 SMEs respondents in Madura, Indonesia. The results of data analysis show that the digital marketing had a positive and significant effect on the marketing performance, the digital orientation had a positive and significant effect on the marketing performance, marketing capabilities had a positive and significant effect on the marketing performance and information technology capabilities had a positive and significant effect on the marketing performance. The theoretical implication of the research is that it finds additional knowledge of marketing strategy in the field of small medium enterprise. Then, marketing management by integrating marketing capabilities and information technology to optimize digital marketing on SMEs marketing performance.

E-wallet usage in transactions during the Covid-19 pandemic is a cashless movement that supports breaking the chain of transmission of the Covid-19 virus. Intention to use E-wallet during the pandemic is high due to the stay-at-home recommendation that was enforced since the beginning of the breakdown of the first case in Indonesia. Several studies on technology acceptance have been carried out and this study presents a research framework by integrating technology acceptance model (TAM) and theory of planned behavior (TPB) to obtain more comprehensive results to increase technology acceptance intentions by adding virus fear and risk perception to the models that have been tested previously, since the research was conducted when the pandemic is ongoing. The results reveal that perceived usefulness, perceived ease of use, and perceived risk have a direct or indirect effects on attitudes toward using and behavioral intention to use, moderating results of fear of covid-19 on attitudes and intentions as well was found to significantly increase behavioral intention to use E-wallet during the Covid-19 pandemic.

Technological changes accompanied by rapid market changes have made it increasingly difficult for SMEs to develop their business in the future. Today, many organizations are shifting to e-procurement as an integrated supply chain support function to achieve strategic business goals. E-procurement or electronic procurement and supply chain Innovation have allowed for more flexibility in responding to market changes and improving the performance of the company's supply chain. The purpose of this study was to determine the impact of the implementation of e-procurement and supply chain innovation on the supply chain performance of SMEs in Indonesia. The method used in this study is a quantitative survey method using structural equation modeling (SEM) and partial least squares (PLS) with data processing tools, namely SmartPLS 3.0 software. Respondents in this study were 390 employees of SMEs in Indonesia determined by the simple random sampling method. The research data was obtained through an online questionnaire distributed through social media. From the results of the analysis, it can be concluded that the implementation of e-procurement has a significant effect on supply chain performance. Supply Chain Innovation has also a significant influence on SMEs supply chain performance.

This study conducted a test to see the influence of data quality analytics, business ethics, and cyber risk management on operational performance and its implication on corporate sustainability of Fintech P2P Lending companies registered and licensed in Indonesian Financial Services Authority (OJK). This study used descriptive analysis and statistical method Structural Equation Modeling (SEM)-Lisrel. The data was collected by using questionnaires given to 104 managers from 91 Fintech P2P Lending companies registered and licensed at OJK until the end of December 2021. The results show that data quality analytics and cyber risk management had a positive and significant influence on operational performance. The results also show that analytical data quality, business ethics and cyber risk management had a positive and significant influence on operational performance. The findings of this study added to the limitations of the research literature on the elaboration of variables that determine performance and business sustainability in Fintech P2P lending.