cross-national data in the nonprofit sector Main Purpose The primary objective of the study was to collect, analyze, compare and interpret cross-national data in the nonprofit sector. The purpose is a consequence of the observation of limited studies conducted to compare international statistics to guide investment in the nonprofit sector. Therefore, the research applied national panel discussion techniques to obtain cross-national statistics in multibillion investments by various countries. Through the analysis, Kim and Kim (2018) targeted addressing the issue of calculated investment for maximum impact by multiple governments. Key Questions The critical note question in the article doubles up as its title: what accounts for the variations in nonprofit growth? The question guides the scope of the study and the methodology used in the research. Specifically, the methodology applied is such that at the end of the study, the main research question is answered satisfactorily. From the stem question, other questions such variations in the government expenditure arise. Similarly, the research addresses the subject of the use of scientific data in guiding government expenditure in the private sector. Provision of…
Sharing data We are currently living in a world that depends on technology to perform most tasks in our day to day lives. Thousands of information are transferred every day, in offices, hospitals, schools and banks. Moreover, most process of moving data depend on quality and quantity. Sharing data may also be optional or may depend on the type of data that is to be shared, the source of funding, and the nature of the organization. Sharing information is beneficial because it provides a more natural way to increase the service of delivery across a broader market. Publishing data is also an easy way to introduce interested people in projects. Moreover, transparency is something that government is encouraged to do while sharing public data. Despite this benefits of sharing data, It is easy for some information to get lost or fall into the wrong hands. Most of these transfer protocols lack enough security that can protect the data been transferred. This ends up causing damage that is difficult to fix. Facebook is one of the social media platforms that has…
Analyze data and summarize findings Based on the data collected from the Survey, report on the analyses of the descriptive, correlational, linear regression with just the independent and dependent variable, and linear regression with the independent, dependent and moderator (by gender/ generation) variables. Determine whether there is a relationship among the demographic, independent and dependent variables. Based on the statistical analysis using a bivariate correlation, Identify which variables significantly covary (p ≤.05) a) Place all values in a chart (See APA 6th edition, p. 136, Sample Table 5.6 Note. OK to notreport the Mand SD). b) Describe allsignificant relationships (p<.05) among the variables by reporting the r level (e.g., r =.92) and significance (e.g., p <.05, two-tailed). Based on your hypothesis, determine if the independent variable predicts, or significantly covaried, with the dependent variable. Using the inferential statistical analysis provided of linear regression, determine if the predictor (independent) variable – leadership predicts the outcome (dependent) variable – satisfaction, effectiveness, extra effort, performance or engagement. Produce a table of the findings which includes the unstandardized regression coefficients (B), intercept, and standardized regression coefficients (b) for each…
Implications of Adapting over Conforming In this unit, we have covered aspects like adaptive planning, how organizations can respond to change, and adapting over conforming. Organizations have to adapt to many changes so that they may be successful in achieving their goals and serving creating value to the clients. A business should be able to adapt to changes in the business environment so that they reap the benefits. Organizations should pursue changes to suit the business needs instead of conforming. Conformity is the act of companies copying or following what other companies have been doing. This can be following the same trend that is followed by other companies. The aspect of conformity is not very advisable in businesses because every company is unique in its way. Companies should, therefore, strive to achieve the element of adapting over conforming. Adapting is what keeps a business/company relevant in the market (Ahmad, Ismail, Rani & Wahab, 2017). It also ensures that a company deals with its problems in a unique way. This will ensure that companies gain a competitive advantage in the market.…
big word “forbidden,” With such a big word “forbidden,” we certainly do not mean any fatal harm to our health. Naturally, we are only talking about the process of losing weight. But the consumption of these products will directly opposite the effect that you want to get while studying in the hall. Flour and sweet. White bread, rolls, muffins, cookies, charlotte, biscuits, and confectionery is a taboo. These are extremely fast carbohydrates and a large amount of fat. For lovers of bread, we recommend an excellent substitute – cereal bread, above which are now on store shelves. Beer. Alas, the drink so beloved by many is a direct path to the “beer belly” and the swimming body. There are no options – to refuse as much as willpower allows. Potatoes. Rich in starch. And in the form of french fries – also fats. Cheeses Tasty, but lots of fats and carbohydrates. Lemonades. Effervescent, sweet drinks, direct carbohydrate conduits to your fat cells. Sauces. Mayonnaise, sour cream – all this contains a lot of fats…
Flat file database Flat file database is a database that stores information in a single file or table. In a text file, every line contains one record where fields either have fixed length or; they separated by commas, whitespaces, tabs or any other character. In a flat-file database, there is no structural relationship among the records, and they cannot contain multiple tables as well. The hierarchical database contains data in a hierarchically-arranged data. Its hierarchical structure contains levels or segments which are equivalent to the file system’s record type. The inventor of the network model is Charles Bachmann. Unlike the hierarchical database model, network database allows multiple parent and child relationships, i.e., it maintains a many-to-many relationship. A network database is a graph structure. The network database model created to achieve three main objectives: To represent complex data relationships more effectively. To improve the performance of the database. To implement a database standard. E.F. Codd proposed the relational database model. After the hierarchical and network model, the birth of this model was a huge step ahead.…
The need for Data mining for effective control of irrigation Irrigation is considered to be the most important agricultural activity worldwide. Water is essential for the development of plants. The use of ineffective ways of irrigation can hamper the crop yield and quality of crops. We need sophisticated sensory devices that can record data like temperature, climate, humidity, soil temperature, soil type (PH), minerals in the soil, etc. We also need a predictive computer system for weather forecasting, or that can store data of metrological parameters. To analyze these enormous data that are captured through modern agricultural equipment, we also need data mining to extract relevant data that can be utilized for effective control of irrigation of cultivable land. It is to be noted that not all soils can be cultivable; some are impervious and nonporous. Hence the study of properties of soils is essential, and the use of sophisticated computers can be beneficial to make this thing happen. Also, the rainfall is unpredictable, and we need to make more accurate predictions using advanced and more robust up-gradation on the…
What is EQMS (Enterprise Quality Management Software)? Every organization is charged with the responsibility of ensuring quality, compliance, among several other industry regulations are fulfilled in their production and service delivery processes. To ensure compliance with the set industry standards and regulations, enterprises adopt various quality management systems and solutions. To address changing complexities in the market, solutions hosting quality management systems have progressively changed over time. Initially, companies leveraged spreadsheet systems in the management and monitoring of quality processes. As computing technology improved, the spreadsheet systems transitioned to form part of Enterprise Resource Planning (EPR) systems. Currently, the cloud is introducing significant changes to quality management systems. EQMS, also referred to as eQMS (Electronic Quality Management System), is a category of software that documents and runs processes, procedures, and responsibilities for achieving quality goals and policies. EQMS can either be legacy-based or cloud-based. Qualities of Enterprise Quality Management Software Advanced data collection and modeling tools Reliable EQMS solutions collected, organize, and store data on every relevant information such as accuracies, maintenance frequencies, speed of production, profits, losses,…
Product analysis Introduction The International Business Machines Corporation (IBM) is among the most prominent multinational information technology company. It is responsible for producing computer hardware and software as well as hosting and consulting services. There have been many inventions by this company, thereby making it a functional research study area. They have come up with many inventions, including the SQL programming language and the automatic teller machine. Over time, it has been able to increase its operations and productivity, therefore, making its entry into more profitable markets. IBM has a wide array of products and services they offer, including artificial intelligence, data analytics, and cloud computing. With the vast array of services provided by IBM, the most profitable product to the company is cloud computing. Cloud computing has been in high demand with the rapid rise in technology. It is used in computer systems and networks, especially data storage. Data centers are available to many users who use the internet. This tends to create large clouds that can be accessed either publicly or privately. An organization or company is…
Big data analytics Big data analytics is turning out to be one of the toughest undertakings in recent memory for the healthcare industry. Providers who have barely come to grips with putting data into their electronic health records (EHR) are now being asked to pull actionable insights out of them – and apply those learnings to complicated initiatives that directly impact their reimbursement rates. For healthcare organizations that successfully integrate data-driven insights into their clinical and operational processes, the rewards can be huge. Healthier patients, lower care costs, more visibility into performance, and higher staff and consumer satisfaction rates are among the many benefits of turning data assets into data insights. The road to meaningful healthcare analytics is a rocky one, however, filled with challenges and problems to solve Capture All data comes from somewhere, but unfortunately for many healthcare providers, it doesn’t always come from somewhere with impeccable data governance habits. Capturing data that is clean, complete, accurate, and formatted correctly for use in multiple systems is an ongoing battle for organizations, many of which aren’t on the winning…