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.

Social networking sites are built to be user-friendly, easy to navigate, easily connect to new people, can be obtained for free, and make them open to everybody. This quantitative study was conducted to identify the influence of social media on sexual misconduct behavior among adolescents. A total of 191 secondary school students from the northern zone of Peninsular Malaysia were involved in this study by random sampling. Data were analyzed using SPSS-23. This study found that the use of social media among secondary school students is high, where the majority spend more than five hours a day. The purpose of dating among young Malays is more focused on discussing matters of love. The study also found that social media does not influence sexual misconduct, but a negative relationship exists between religiosity and sexual misconduct. The predictor of sexual misconduct purpose items contributes 30.6% (p < 0.01) of the variance change in religiosity. Also, sexual misconduct among males is much higher than in female adolescence. The more surprising finding is that there are samples of social media accounts for gays, and some Malay youth's interest in dating is meant to do evil or discuss sex. Therefore, social media users could partake in more risky sexual behaviors because of a larger peer network influencing their attitudes and social norms. The current findings are expected to signal parents, teachers, the community, and the Ministry of Education Malaysia to take proactive measures to address this issue.

Having a citizen's opinion is considered the most important method to evaluate a public institution's performance. As a contemporary theory regarding public institutions and private organizations, public value theory provides an alternative approach to evaluating organizations' performance. The current research has provided a new insight to assess the Mobile-government applications (m-gov app) by proposing a new model entitled ‘Mobile Government Public Value (MGPV)’ to measure the performance of m-gov apps in developing country settings, specifically Jordan. Depending on several theories engaged with information technology, many determinants have been selected to draw the line for evaluating MGPV in Jordan. Measuring the level of m-gov apps’ usage was estimated depending on its perceived need, awareness, perceived security, social influence and self-efficacy to gauge the weather of creating or increasing the public value of the m-gov app from a citizen's perspective. In the current research, Structural Equation Model (SEM) was selected to obtain the research objectives. The results have indicated that the m- gov apps perceived need, m- gov apps' awareness, m- gov apps perceived security, and m- gov apps social factors played an essential role in creating public value of m- gov apps through the mediation role of m- gov apps use factor. While m-gov apps' self-efficacy factor did not provide a positive effect on creating the public value of m-government apps.

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.

In the current era of information technology Big Data has gained significant importance in almost all the industries throughout the world. Big Data is now renowned for having the capability of effective decision making. Now companies around the globe are using Big Data for market analysis, customer analysis, however, the utilization of Big Data is much higher in the financial sector, yet publications on Big Data and finance are limited because of having significant challenges. Even though utilization of Big Data is highest in the financial sector and its importance cannot be ignored, the studies and analysis are inadequate. Considering the importance of Big Data in the financial sector this paper is an attempt to conduct a comprehensive literature review in the field of Big Data and finance. Thus, the study will contribute to the body of knowledge by providing horizons for empirical research in the field of Big Data and finance.

The objective of this study is to determine the relationship of digital marketing as a wide emerging marketing tool, in developing public relation values for modern business in the globalized competitive era of mature markets. For this study, the cross-sectional data were collected by 450 respondents including the people as customers, and the managerial staff of the different well-reputed organizations in the United Arab Emirates (UAE). The findings of this study highlight that there is a clear and strong relationship between digital marketing in developing public relations values, and modern businesses need this technique to develop equity and provide a distinct message about the vision and mission of the organization in the target market. The significance of this study is it addresses the theoretical gap in the literature, and the practical gap in business practices by providing the insight to utilize digital marketing not only for the promotion of products and services but could be used to promote public relation values.

Word of Mouth also works as a primary determinant of people's positive attitude towards online shopping and retailers. Notably, people are more likely to spend online shopping if they trust online retailers. This study also focuses on the online retail industry in the United Arab Emirates. The Item Response Theory primarily supports the conceptual model of the current research. We employed a cross-sectional design and selected a sample of n= 304 online consumers. Results revealed that the relationships between Positive Word of Mouth, Brand Image, and Causal Attributions are strongly validated (p> 0.000). Besides, the relationships between. Product Quality, Brand Image, and Causal Attributions are also affirmed with the path value at 1.014 and significance value at p> 0.000. Moreover, we also found a potentially significant relationship between Positive Word of Mouth and Product Quality p> 0.000). We also affirmed that the relationship between Brand Image and Causal Attribution is also validated with the significance values at p> 0.000. Lastly, the proposed relationships between we proposed a significant relationship are also validated (p> 0.000). Thus, we conclude that, today, when competition is increasing day by day, it is crucial to examine the consumer psychology that may highlight our several factors as done by the Item Response Theory. Further, we have discussed the study limitations and contributions accordingly.

This paper aims to explore the intentions to use FinTech and its important role in the banking industry in Jordan. Accordingly, this study analyzes the nature of the relationship between intention to use financial technology and each of: Processing Unit (PU) perceived usefulness, social impact (SI), customer’s trust (TRU) and perceived ease of use (PEU). Previous research related to financial technology is still under development and which is still being researched by providing an alternative approach to understanding how different business levels have stimulated the emergence of innovation-focused fintech companies, and what are the motives of success. Therefore, the main contribution of this research is to fill the gap in previous research related to financial technology that is still under development and which is still being researched by providing an alternative approach to understanding how different business levels have stimulated the emergence of innovation-focused fintech companies, and what are the motives of success. Results show a positive relation between intention to use financial technology and Processing Unit (PU), social impact (SI), customer’s trust (TRU) and perceived ease of use (PEU). The main contribution of this research is to fill the gap in previous research related to financial technology that is still under development and which is still being researched by providing an alternative approach to understanding how different business levels have stimulated the emergence of innovation-focused fintech companies, and what are the motives of success.

The loyalty of the customers is very important for the survival of the organizations. Therefore, the prime objective of the present study was to examine the effect of sensory factors namely visual factors, auditory factors, and touch factors on customer satisfaction and loyalty. For this purpose, data were collected from the respondents of restaurants in the UAE in the form of survey questionnaires. A convenience sampling technique was adopted for this purpose. The usable response rate from the data collected was 75.78%. For the analysis of the data gathered PLS-SEM was used for which smart PLS was used as the tool to examine the data. The findings of the study revealed that visual factors play a very important role in developing customer satisfaction and loyalty. The same was the findings regarding the positive role of the other two sensory factors. Moreover, the mediating role of customer satisfaction was also confirmed in the present study. The gaps filled by the study are mentioned and discussed. These results can be used by academicians and policymakers as well.

Transforming from digitalization to digitization brings many new technologies to restructure our life and life routines. In today’s competitive world, internet infrastructures and banking industries are counted as integral components for online shopping and commercial transactions. As because, disclosure of online transactions has been allowed through internet media, that would enhance the availability of electronic payment systems. Further, this study aims to explore and investigate the relationship and impact of electronic payment methods on the sales growth with the mediating role of online shopping by targeting UAE banking Industry. This study followed the quantitative approach and a correlational design. The empirical data were collected through a survey designed on a 5-point Likert scale, 217 valid questionnaires were sent to all participants (i.e., top managers, middle managers and technicians) via emails. Different statistical analyses were performed in this study. The results of the study showed high internal consistency among the study variables as Cronbach’s Alpha values ranged from .873 to .855. Further, this study highlighted the significant relationship and direct impact between online shopping and sales growth. Meanwhile, indirect impact was confirmed by the results between online shopping and sales growth through e-payment. In this regard, results can help to identify the impact of e-payment on sales growth through online shopping and also provide advantage for this and many other similar organizational studies.