Today’s Application Performance Monitoring evolution is in a direct relationship with fast growing e-commerce demands and associated technology prerequisites. To fulfill the high-demanding range of market expectations, tools need to be more efficient and robust, considering newly developed algorithms that can perform optimal calculations in a correct and fast way. The technological upgrade that the e-business world is facing is very often translated into new possibilities of supervising the resources for planning accordingly and setting new thresholds in various e-commerce sectors. This means that Application Performance Monitoring must be more concise, more results oriented and more determined in managing big sets of data along with high transaction ranges. This optic is not only related to administrative purposes, but it also means a paradigm change in the world of resource allocation and digitization, in the context of a fast-changing information society. The newly proposed Application Performance Monitoring approach includes tools that can handle multiple integrations, Application Programming Interface calls with external parties and a wide range of transaction mechanisms that can be implemented in a fast and efficient way. Hence, this article proposes different models for monitoring mechanisms/tools that can integrate functions, procedures and even applications with the purpose of highlighting efficient resource allocation structures and their potential beneficial role in e-commerce optimization sector. Various integration schemas are proposed to be taken into consideration when developing an Application Performance Monitoring tool for solving complex monitoring requests, along with some web performance analysis because of associated mechanisms implementation. As a result, this article proposes different Application Performance Monitoring integration mechanisms for handling e-commerce and in general e-business solutions high demanding and complex requests.

This paper presents the results of a survey carried out by the authors in two different countries that share a common language and culture, Romania and Republic of Moldova. The aim of the study is to analyze three dimensions of the Money Management Behavior (saving, overspending and financial awareness) and to integrate them into a model based on the Theory of Planned Behavior. The structural equation modelling analysis reveals that saving is influenced negatively by Success and Centrality (two dimensions of the materialism scale), External locus of control and Pain of paying. Overspending is influenced negatively by Centrality, Happiness and Pain of paying, and positively by Social norms and Internal locus of control. Success, Social norms and Internal locus of control influence positively the financial awareness of individuals, whereas Pain of paying influences it negatively. The financial and socio-psychological behavioral differences in these two countries are compared and discussed.

Taking into consideration the complex market segments that developed during the past 20 years, it is necessary to align to society’s needs also from a technological point of view, as a premise for the growing information society. This aspect has major implications in all areas and leads to development of stand-alone or integrated monitoring mechanisms and systems. This paper captures the modalities of adapting the commercial needs to the complex and permanently growing societies, through an enhanced set of monitoring solutions, which will be described as models. The monitoring solution models will help industries, markets to adapt their needs to a developing information society in the digitalization era, enhancing the relationships at micro and macro levels. Through enhanced convergent monitoring tools, the proposed model has the capability to adapt to multiple market areas or sectors. Relevant metrics, API integrations and cloud solutions represent the most relevant prerequisites for developing an industryadapted monitoring platform, which has the possibility to extend its features based on technology changes. Hence, it is important to keep track of all relevant technological and business prerequisites and apply them on a fitted, structured monitoring platform that could serve market areas and give an important background on commercial industry adaptation behavior.