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In the academic field of business management, several potential theories were established during the last decades to explain companies' decisions, organizational behavior, consumer patterns, and internationalization, among others. As a result, businesses and scholars were able to analyze and decide based on theoretical approaches to explain the current conditions of the market. Secondary research was conducted to collect more than 36 management theories. This chapter aims to develop the most famous theories related to business applied in the international field. The novelty of this chapter relies on the compilation of recognized previous research studies from the academic literature and evidence in international business.

In 2009, Newsweek published a report in which they ranked the 500 largest US companies and the 100 largest global companies based on its environmental performance measures (http://greenrankings2009.newsweek.com/). This ranking is referred to as Newsweek’s Green Ranking. Included in this ranking is information about water and air pollution, solid waste disposal, toxic wastes, carbon emissions, and enforcement actions. The question we are addressing in this study is how well it measures pollution performance? The question is relevant to environmental accounting/reporting since it is part of a dilemma yet to be answered: Aggregated environmental indices/scores are easy for average information users to percept, while specific information may not be preserved when it is aggregated into the overall score(s).

Specifically, we examine whether Newsweek’s Green Ranking is correlated with pollution measures based on Toxics Release Inventory (TRI) in order to determine how valid or reliable Newsweek’s Green Ranking is – in other words, how much Newsweek’s Green Ranking can explain the pollution by the toxic releases. We find that there is no significant correlation between Newsweek’s Green Ranking and the TRI measures except for the firms in the utilities industry. Concluding that on one measure, which we consider a very important one, there is no justification for the overall Green Ranking Score presented by Newsweek. However, in Newsweek’s three-part score the element that is termed the Environmental Impact Score captures pollution performance measured based on TRI. The contrast between the overall ranking and performance ranking indicates that a composite index that incorporates hard performance and soft measures can dilute the information carried by performance data.

The chapter focuses on two interrelated research questions: why are museums so popular? and what can commercial enterprises learn from them? The chapter explains the popularity of museums by elaborating on the special characteristics of the cultural and economic roles of these institutions in society based on evidence in academic research and in policy documents. The chapter then provides data from a survey of 6,419 visitors and 5,065 non-visitors of the 18 most well-known (art) museums spread among 10 countries around the world. It provides evidence regarding what factors differentiate the reputations of the most reputed museums from those that are less appreciated based on museum-related factors, along with factors related to the country and city where the museum resides. The chapter concludes by examining reputation management lessons, the business can draw from the way museums operate and how they are perceived.

Surging global natural disasters provide incentive for risk-reducing policies and strategies. In this light, the African Union (AU) engaged a multi-stakeholder policy formulation process between 2002 and 2006, to develop a continent-wide disaster risk reduction (DRR) strategy. Drawing from secondary data, this chapter assesses the process and applies qualitative analysis instruments to critically assess the AU’s disaster policy. Linkages to the 2005 international Hyogo Framework for Action (HFA) are also highlighted. The analysis reveals that Africa’s policy formulation process was belated for over a decade, with respect to international expectations. The formulation process was however largely African owned and led, culminating in a strategy document that reflected African contextual reality at the time, and aligned well with HFA fundamental goals. The applied multi-stakeholder approach enhanced a spirit of participation across levels and was central to the largely successful policy formulation process. However, targeted policy outcomes were not explicit, and poorly formulated indicators marred short- and long-term policy evaluation. Based on these results, we conclude that the African-wide DRR policy formulation processes were belated but participatory, systematic and very successful. Belated policy formulation reflects an initial inertia on the African continent, justified by past negative policy experiences and the desire to succeed. A replication of this policy formulation approach in Africa is recommended, albeit exercising more caution on policy timing, the elaboration of better monitoring and evaluation instruments and criteria. Participation should further embrace modern, risk-free (anti-COVID-19-friendly) information and communication technologies.

Monte Carlo simulations are a very powerful way to demonstrate the basic sampling properties of various statistics in econometrics. The commercial software package Stata makes these methods accessible to a wide audience of students and practitioners. The purpose of this chapter is to present a self-contained primer for conducting Monte Carlo exercises as part of an introductory econometrics course. More experienced econometricians that are new to Stata may find this useful as well. Many examples are given that can be used as templates for various exercises. Examples include linear regression, confidence intervals, the size and power of t-tests, lagged dependent variable models, heteroskedastic and autocorrelated regression models, instrumental variables estimators, binary choice, censored regression, and nonlinear regression models. Stata do-files for all examples are available from the authors' website http://learneconometrics.com/pdf/MCstata/.

The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

This chapter examines roles and challenges for corporations in addressing Post 2015 world development objectives. Specifically it does review the contributions and opportunities of the principles of the Global Compact and other social responsibility initiatives for embedding corporate contribution to sustainable markets and societal development.

The results presented in this chapter are based on analysis of secondary sources and a literature review to determine conceptual and theoretical frameworks for identifying assumptions and challenges of corporate sustainability in the Post 2015 era.

It was found that although there are neither academic nor activist definitive consensuses regarding positive impacts of adopting the UN Global Compact principles for sustainability, the impacts of committed corporations, organisations and association are multiplying societal understanding of the implications in societies, governments and markets of violating human and labour rights, degrading and not protecting the environment, and having corruption.

This chapter could be used as teaching material for undergraduate and master courses of corporate social responsibility, business ethics, sustainability, operations management and strategy.

This chapter discusses firms’ responsibilities regarding world development objectives in a Post 2015 world.