In this paper, a novel combination method is offered to integrate the results of two new relative closeness models, called relative closeness benevolent (RCB) and relative closeness aggressive (RCA) models, for ranking all DMUs. To prove the applicability of the proposed method, it is examined in three numerical examples, performance assessment problem, six nursing homes and fourteen international passenger airlines. Firstly, RCB and RCA models were formulated in order to generate the cross-efficiency intervals matrix (CEIM). After obtaining CEIM, the RC index was utilized to generate a combined cross-efficiency matrix (combined CEM). In combined CEM, target DMUs were viewed as criteria and DMUs were viewed as alternatives. After that, the weights of each criterion were generated using a new weighting method based on standard deviation technique (MSDT). Finally, all DMUs were evaluated and ranked. Comparison with existing cross-efficiency models indicates the more reliable results through the use of the proposed method.

This study sought to investigate the role of organizational capabilities on e-business successful implementation. The proposed conceptual framework was tested on a sample of 16 Jordanian companies with an online involvement, and a total of 263 valid returns were obtained in a questionnaire based survey. The results provide quite a strong support for the hypothesized relations: organizational capabilities, namely learning organizational capabilities and IT capabilities have significant impact on e-business implementation success. However, no statistical support was found for the significant impact of the knowledge management capabilities on e-business successful implementation. This study implies that the policy-makers should focus on formulating policies and targeting appropriate organizational capabilities to ensure effective e-business implementation, which will eventually yield positive results for the company as a whole. An organization needs a well-designed IT infrastructure to create and maintain the organizational knowledge deriving from organizational learning capabilities and enabling IT assimilation. In light of these results, the research presented many recommendations for future research and a set of limitations.

Online transportation has widely spread across the globe in the past three years. It provokes changes in transportation management. Driver’s quality improvement is crucial to prevent problems related to accidents and driver-passenger relationships. This paper employs regression analysis to identify the effect of driving attitude, self-awareness, and social self-supervision on aberrant driving behavior in online taxi drivers in Indonesia. One hundred Grab and Go-Jek drivers are selected from the DKI Jakarta area. Data are collected via questionnaires. Data analysis, as well as statistical calculation, reveals the negative effects of social self-supervision on aberrant driving behavior.

This paper aims to determine factors that affect consumers’ intention to re-purchase by combining consumers’ attitudes and satisfaction in mobile shopping via sharing economy platforms. The research sample consists of 367 valid participants in the metropolitan area of Ho Chi Minh City who experienced buying products from brick and mortar retailers by using crowdshipping service, using PLS-SEM. The results confirm that Personal Innovativeness significantly affected Perceived Ease of Use (PEOU) and trust. Consumers' attitudes toward buying products via crowdshipping services in sharing economy platforms are determined by PEOU and trust, and their satisfaction of an purchasement is impacted by Check out attributes and Delivery attributes, leading to re-purchase an order via this platform. Brick and mortar retailers need to create a corporation with crowdshipping service platforms to increase sales during COVID-19 pandemic. Besides, shipping quality should be ensured to satisfy consumers which leads to long-term usage.

The Covid-19 pandemic has forced people to maintain physical distance during everyday contact, known in popular terms as physical distancing, which triggers the banking industry to accelerate its digital transformation to maximize service to customers. It aims to make business processes to work more efficiently and to drive force that will create various business opportunities. This study aims to explain the main factors that contribute and influence the adoption of internet and mobile banking services, which are antecedents of customer attitudes towards the intention to use these services. This study uses primary data and the unit of analysis is 200 respondents of Bank Bukopin customers who are users of its internet and mobile banking services with a replication of the technology acceptance model (TAM) in the context of internet service adoption and mobile banking. This study uses non-probability sampling with purposive sampling technique, and to analyze the research model, the Partial Least Square (PLS) method is used with the SmartPLS 3.0 M3 program as a tool. The research findings indicate that the intention to reuse is directly affected significantly by perceived ease of use, trustworthiness, and attitude to use. Perceived benefits do not have a significant effect on directly affecting intention to use, but have a positive and significant effect if they get a mediating role from the attitude of using. This study proves the existence of a mediating role for perceived benefits and beliefs on attitudes to use. This study also strengthens the evidence that attitudes have a strong and positive and significant effect on intention to reuse, and are able to fully mediate the effect of perceived ease of use, perceived usefulness and trust on intention to reuse. Bank Bukopin management and bankers are also expected to use the results of this study to evaluate and take corrective action on aspects that are deemed incapable of encouraging the adoption of their internet and mobile banking services and creating customer loyalty to continually use the services they provide.

The research conducted by this researcher intends to analyze the effect of trust and ease of use on purchase decisions and repurchase intention. The data collection method in this study uses a questionnaire with 130 consumers who have purchased at an online store. The analytical method used is descriptive analysis, and the test instrument uses SEM AMOS. in this study using four variables, thirteen dimensions and twenty-six indicators. The results show that trust and ease of use have a significant effect on buying decisions and also have a significant effect on repurchase intention, and purchase decisions have a significant and significant effect on repurchase intention. so it can be said that trust and ease of use are the entry points that make consumers start to move to the next stage, therefore online store marketers need to pay attention.

The aim of this study is to analyze the effect of e-service quality, consumer trust and social media marketing on intention to use online transportation services. The method used in this research is quantitative methods, data collection is executed by distributing questionnaires to consumers of Online Transportation Services. The population of this study is the Jabodetabek Online Transportation Services consumers whose numbers have not been identified with certainty. The questionnaire was distributed electronically using a simple random sampling technique. The results of the questionnaire returned were 180 respondents. Based on the results of data analysis, it is concluded that E-Service Quality has a significant effect on Intention to Use Online Transportation Services. Consumer Trust has no effect on Intention to Use Online Transportation Services. Social Media Marketing has a significant effect on Intention to Use Online Transportation Services.

In this study, researchers examined how consumer decisions on purchases in e-commerce are particularly influenced by trust, attitudes and the ease of new shopping places. The data collection research was conducted using a questionnaire with 130 consumer respondents who had bought at ecommerce which would later be processed by Amos' Structural Equation Modeling (SEM). The study used four variables, thirteen dimensions and twenty-six indicators. The results showed that trust, convenience and attitudes influenced consumer decisions in buying e-commerce. The results also showed that trust had the greatest and most significant influence on consumer decisions to buy in e-commerce. So, it can be said that consumers buy because it is based on a sense of already trusting an e-commerce to make e-commerce crowded and buyers need to pay attention to improving their taste.

The aim of this study is to identify the link between online sales systems, infrastructure, ease of use & information accuracy in improving Jordanian restaurants’ call centers' performance effectiveness (JRCCPE). In order to achieve the study's objectives, a questionnaire was conducted for measuring the link between online sales systems (OSS), infrastructure, ease of use & information accuracy in improving JRCCPE. The study sample was selected by distributing 220 questionnaires to all employees of Jordanian restaurants’ call centers (JRCC) from the set of employees working in an online sales system where 173 were retrieved. Aiming to answer the study questions and test hypotheses, the researcher extracted the means and standard deviations to apply the multiple regression equation. Accordingly, the study reached many results, showing a statistically significant effect for using the OSS, infrastructure, ease of use & information accuracy in improving JRCCPE. The study suggested that JRCC seeks adding various characteristics of editing, deleting, copying, and setting the time on the basis of text messaging through such networks as well as the need to conduct marketing studies in order to enable companies to achieve the customers' wishes in a method matching their expectations.

The global process of society information has covered almost all countries of the world and is currently the core of scientific, technical and socio-economic development. The effectiveness of the power exercise in any state depends on its information support. Indeed, without information, successful political structure, the development of mass political consciousness as well as the interaction of the subject and the object of government are impossible. That is why this research aims to improve the methodics of evaluation of informational security through theoretical-methodological substantiation, forming and calculation of integral indexes of its competitiveness of a country. Global economic crisis had consequences for almost every country and cannot be ignored by any conditions, that is why the methodic of informational security calculations should be adapted to modern economic conditions. Cardinal changes in political, economic and social conditions in Ukraine causes inaccessibility of approaches to information security level calculations and particularly in the national security system. In modern scientific schools the questions of effective informational security have not been sufficiently studied. The aim of this article is to analyze active methods of state informational safety level calculations in order to adapt their indexes to actual global circumstances in Ukraine and in the world. Integral informational security have been composed of such components (indicators): income of the broadband Internet access market, dynamics of broadband Internet subscribers (connections), penetration rate of fixed broadband access (number of subscribers per 100 people), dynamics of Internet penetration (percentage of Internet users to the total population of the country), Network Readiness Index of the country, ICT Development Index of the state, Global Innovation Index, capital investments in intangible assets of Ukraine (that is, in software and databases). Every component of informational safety has factors of relevance and indispensability of reinforcement of national competitiveness on security foundations are substantiated. A taxonomic indicator is used to measure the level of informational safety. The paper proves that each of the components of the state informational security has almost equal input in forming its integral index.