CHARACTERISTICS OF MARKETING IN PROFESIONAL SERVICES DELIVERED BY THE HEALTHCARE SYSTEM

Equilibrium position of a competitive market must necessarily be an „pareto optimal”: with every transaction made, people get rich without anyone else to deplete. If there is no increasing income - economies of scale or proportion - in the production system, then each „pareto optimal” condition is a competitive equilibrium position, depending on the distribution of purchasing power. Where there are concerns about income distribution and hence of goods and services between individuals, the state can interfere by changing this algorithm of purchasing power distribution, within the economy. On the other hand, if some individuals are reluctant to risk (theory contradicted by the existence of gambling), then providing insurances is incumbent on mutually beneficial exchanges, because people are willing to pay for the convenience of not having to worry about the future events that may affect their existence. Another problem of the insurance field is that of ”moral hazard": since signing an insurance contract, the insured is no longer trying as hard to prevent accidents against which they have been insured, therefore the likelihood of occurrence for such accidents increases

Revisiting EKC hypothesis in context of renewable energy, human development and moderating role of technological innovations in E-7 countries?

The present study examines the potential of the traditional environmental Kuznets curve (EKC) with an extension for growing industrialized economies, including Brazil, China, India, Indonesia, Russia, Mexico and Turkey (E-7 economies) spanning from 1995 to 2019. Since the E-7 economies are still in a growing phase, this study adds to the EKC phenomenon by taking into description human development, the use of renewable energy, and technological innovations for investigation. Second-generational panel econometrics techniques, such as cross-sectional augmented autoregressive distributive lag (CS-ARDL), Augmented Mean Group (AMG), and Dumitrescu-Hurlin causality tests, form the basis of the experimental framework’s design. The study confirms the existence of the EKC phenomena in E-7 economies, where income expansion is prioritized in relation to environmental sustainability. The study’s findings demonstrate that technological modernization helps to mitigate pollution level. Therefore, human development, technological innovation, and the use of renewable energy are held up as the panacea for reducing carbon emissions over the time period under study. Finally, some further policy suggestions are provided

THE TELEWORK, A FLEXIBLE WAY TO WORK IN A CHANGING WORKPLACE

When asked about the working hours, most Romanians will respond: five days a week, 8 hours a day, between 8:00 and 16:00 or between 9:00 and 17:00. But, worldwide, more and more companies choose to modify this traditional work program. The flexible work schedules appear as a reliable alternative, which, with the help of advanced technologies, eliminates the spatial barriers imposed by the traditional manner of work. The aim of our paper is to approach the telework as a version of the flexible program of work. To achieve this purpose, we have made a literature review to see how the telework is used nowadays in organizations. In this approach, we started from the conceptual definition of this term. We continued with the presentation of the implementation state of this manner of work in different countries and with the study of the factors that transform the telework into a widely-agreed way of working. Following the analysis, a number of advantages and limits of using the telework have been revealed, leading to the conclusion that, when it used correctly and consistently, this manner of flexible working meets the needs of the employees, but also of the employers, both actors being considered winners

Predicting Fraud in Financial Payment Services through Optimized Hyper-Parameter-Tuned XGBoost Model

Online transactions, medical services, financial transactions, and banking all have their share of fraudulent activity. The annual revenue generated by fraud exceeds $1 trillion. Even while fraud is dangerous for organizations, it may be uncovered with the help of intelligent solutions such as rules engines and machine learning. In this research, we introduce a unique hybrid technique for identifying financial payment fraud by combining nature-inspired-based Hyperparameter tuning with several supervised classifier models, as implemented in a modified version of the XGBoost Algorithm. At the outset, we split out a sample of the full financial payment dataset to use as a test set. We use 70% of the data for training and 30% for testing. Records that are known to be illegitimate or fraudulent are predicted, while those that raise suspicion are further investigated using a number of machine learning algorithms. The models are trained and validated using the 10-fold cross-validation technique. Several tests using a dataset of actual financial transactions are used to demonstrate the effectiveness of the proposed approach

Achieving Green Innovation in Energy Industry through Social Networks, Green Dynamic Capabilities, and Green Organizational Culture

This research paper aims to evaluate the effect of social networks on the green innovation of energy sector firms working around the globe. The study also evaluated green dynamic capabilities’ mediating, and green organizational culture’s moderating role in the association of the social networks and green innovation. The study will help electricity production and distribution firms to become more environmentally proactive and achieve green innovation. For this research, study data were collected from employees working in the energy sector firms of Pakistan. Standardized scales were adapted from previous studies and a questionnaire was developed using ‘Google Docs’ and distributed using Facebook. From different energy sectors of Pakistan,476 respondents filled the questionnaires. To examine the research hypotheses, we chose energy firms that act as small and medium enterprises and face problems in the achievement of green innovation. For testing the proposed relationships, descriptive statistics, regression, and correlation analyses were used. The results supported all the hypotheses of the study. Current research has various theoretical and practical implications for managers of the energy industry, and governments

Urbanization, Economic Development, and Environmental Degradation: Investigating the Role of Renewable Energy Use

The current study explored the impact of renewable energy use, urbanization, economic growth and trade in services on CO2 emission in Maldives by using annual data series ranging from 1990 to 2020. We have checked the variables influences by utilizing the nonlinear autoregressive distributed lag (NARDL) method with long-run and short-run connections. Findings via long-run and short-run showed that the variables renewable energy use and economic growth has positive and negative coefficients via positive and negative shocks that uncover the constructive and adverse linkage to CO2 emission in Maldives. Similarly, trade in services showed an adversative and positive connection to CO2 emission via positive and negative shocks. During the analysis, the variable urbanization uncovered a negative linkage to CO2 emission. It is imperative that Maldives implement new policies and strategies aimed at reducing CO2 emission in order to avert the environmental devastation