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This paper explores and examines the mission statements of the most ethical companies across the globe in terms of their main purposes, values, goals, and objective, and what they say about their vision and goals.

This study is based on the data published by the Ethisphere Institute, the global leader in defining and advancing the standards of ethical business practices. Having compiled the mission statements into a text file, the authors conducted text mining using a commercially available text mining tool SAS Enterprise Miner to survey if the most ethical companies have valued the same vision and mission such as social responsibility and ethics.

A review of their mission statements indicated that some of the most ethical companies surveyed in this study such as 3M and Voya strive to be “socially responsible and ethical,” support their “societies” and respect and protect the “nature,” “planet” and “environment.” The world's most ethical companies that stress these weighted terms in their mission statements may do so to show their commitment by being socially responsible and ethical, and delivering sustainable business solutions to their customers.

This study provides a systematic and comprehensive exploration of mission statements of the most ethical companies in an attempt to identify patterns of differences and similarities within these statements.

The purpose of this paper is to report on how web-based training and testing platforms provide opportunities for students to leverage the capabilities of various information and communication technologies to engage in self-directed learning.

The impact of an interactive learning environment on improving students’ essential skills was measured using a previously validated structured questionnaire, consisting of five subscales: content, accuracy, format, ease of use, and timeliness. Having analyzed the instrument, the authors decided to modify it to incorporate two more measures of overall reliability and satisfaction to capture students’ overall satisfaction level with the tool. Overall, 24 items are used to measure students’ perceptions of the tool content, accuracy, format, ease of use, timeliness, reliability and satisfaction. A five-point Likert-type scale was used in the questionnaire where 1=strongly disagree and 5=strongly agree.

This study suggests that while students’ major, instructor, and course grade are important factors impacting student perception of the learning tool, year (freshman vs sophomore) and gender do not have any impact on the student perception. Course grade shows an interesting trend. Students who received an A and an F as their final grades are the most satisfied groups compared to other grade groups. This finding suggests a further study is needed to explore the impact of the course grade on the students’ satisfaction with the tool. While students liked simulations, grading feature with immediate feedback, electronic textbook and the system overall, they suggested improvements in the grading module, simulations, projects, system compatibility, system reliability, and cost.

Most studies use a survey to measure student’s satisfaction with a web-based learning platform. This study, however, made an attempt to understand students’ satisfaction with a web-based blended learning platform by analyzing their comments and feedback on the course using a text analytics tool.

The main objective of this study is to identify and define three sets of factors that might be useful for designing a disaster monitoring and response system.

First, a literature (meta) analysis is presented using academic research. The method was mainly based on a review of the scientific literature. The paper then identifies three sets of factors that may be employed when designing disaster monitoring and response systems.

The paper finds that successful operation of an organization that hosts a disaster monitoring system requires that operators and computers work together.

The model itself in this study is not all‐inclusive. An issue that deserves to be looked into is what role other technical, human, and organizational factors play in system performance.

The importance of disaster monitoring and response systems increased in recent years because of an increase in the numbers of deaths, the numbers of people affected by disasters and their devastating impacts on human life, economy and environment. These systems have the potential to significantly reduce losses from natural disasters.

This study proposes a model which may be valuable to state and federal agencies, public sector managers and administrators, system analysts, trainers in disaster management, researchers and practitioners involved in disaster and emergency response studies, managers of police, fire, and ambulance systems, and mayors and governors.