Marketing to the Base of the Pyramid: A Corporate Responsibility Approach with Case Inspired Strategies

The economic and political outcomes of market globalization continue to be complex. As international corporations engage developing markets, they increasingly find consumers who lack market sophistication, meaningful purchasing options and economic leverage. Such conditions are ripe for the exploitation of these market segments but also can be mitigated by enlightened managers willing to thoughtfully consider their ethical and professional obligations to vulnerable consumers. This paper builds on a normative ethical framework, labeled the integrative justice model (IJM) for impoverished markets that was introduced in the marketing and public policy literature. Specifically, the paper will extend the normative ethics of the IJM by proposing logically reasoned decision principles for managers, particularly in MNC subsidiaries, that might better shape ethical business strategy when targeting impoverished segments. Additionally, numerous case examples are given to illustrate how a number of these decision principles are already being applied by companies around the world. Such an approach can serve as a counterweight to the difficulty of crafting global regulations for market development

Ethical and Social Aspects of Self-Driving Cars

As an envisaged future of transportation, self-driving cars are being discussed from various perspectives, including social, economical, engineering, computer science, design, and ethics. On the one hand, self-driving cars present new engineering problems that are being gradually successfully solved. On the other hand, social and ethical problems are typically being presented in the form of an idealized unsolvable decision-making problem, the so-called trolley problem, which is grossly misleading. We argue that an applied engineering ethical approach for the development of new technology is what is needed; the approach should be applied, meaning that it should focus on the analysis of complex real-world engineering problems. Software plays a crucial role for the control of self-driving cars; therefore, software engineering solutions should seriously handle ethical and social considerations. In this paper we take a closer look at the regulative instruments, standards, design, and implementations of components, systems, and services and we present practical social and ethical challenges that have to be met, as well as novel expectations for software engineering.Comment: 11 pages, 3 figures, 2 table

Image and Reputational Impact on Managers' Assessment of Auditing Activities

The efficient use of knowledge assets allows organizations to compete more effectively in the marketplace. Some of these knowledge assets are embedded in an organization socialization and internalization processes. Image and reputation may better leverage knowledge by strengthening its core capabilities of knowledge assets. Image and reputation is viewed as a collective 'perception' pertaining to a person, group, or organization's attributes. We suggest that by combining the use of reputational data and structural equation modeling of narrative analysis, we can build a better process theory along with better explanations in general. Throughput modeling techniques are used in this research to capitalize on how line managers' narratives are captured in framing their international environment, the information used, as well as deciding whether audits are assisting them in promoting increase profits or decrease expenses. This model is useful in highlighting the elements that support a view of managers being proactive. This analysis captures forward looking throughput modeling techniques whereby in-house managerial procedures can help aid and assist line managers performing their primary functions. Findings indicated that managers' perception of image/reputation influence what they viewed as important knowledge assets relating to productivity and profitability. --

Enhancing project-related behavioral competence in education

The workforce has increasingly been demanding an educational model that produces students experienced in real project management (PM) practices. This includes producing technically competent students--one who can manage real-world project constraints of cost and schedule but also possess critical project related behavioral competence. Such soft skills are essential if a project is to run smoothly and eventually succeed. In this paper, we describe an educational framework grounded in outcomes based education to enhance project-related behavioral competence. Instructors can leverage this framework to augment their existing courses and develop the critical career skill sets of graduating students

From Social Simulation to Integrative System Design

As the recent financial crisis showed, today there is a strong need to gain "ecological perspective" of all relevant interactions in socio-economic-techno-environmental systems. For this, we suggested to set-up a network of Centers for integrative systems design, which shall be able to run all potentially relevant scenarios, identify causality chains, explore feedback and cascading effects for a number of model variants, and determine the reliability of their implications (given the validity of the underlying models). They will be able to detect possible negative side effect of policy decisions, before they occur. The Centers belonging to this network of Integrative Systems Design Centers would be focused on a particular field, but they would be part of an attempt to eventually cover all relevant areas of society and economy and integrate them within a "Living Earth Simulator". The results of all research activities of such Centers would be turned into informative input for political Decision Arenas. For example, Crisis Observatories (for financial instabilities, shortages of resources, environmental change, conflict, spreading of diseases, etc.) would be connected with such Decision Arenas for the purpose of visualization, in order to make complex interdependencies understandable to scientists, decision-makers, and the general public.Comment: 34 pages, Visioneer White Paper, see http://www.visioneer.ethz.c

Beyond economic sustainability: embedding social and environmental values in the governance of responsible investment

The transition of global financial markets towards investment models that incorporate environmental and social dimensions is now well underway. This paper discusses the evolution of contemporary responsible investment (RI) and its relationship to sustainable development and environmental social governance(ESG). In the conception of ESG presented here, various well-known institutional arrangements, most notably interest representation, accountability and transparency, decision-making, and implementation are linked to the structures and processes of governance. Using a hierarchical framework of principles, criteria and indicators (PC&I), the paper presents a means for evaluating RI by way of an analysis of stakeholder perceptions regarding the sector’s governance quality. It concludes with some observations on the challenges confronting RI, notably the need for universally consistent quality of governance standards

South American Expert Roundtable : increasing adaptive governance capacity for coping with unintended side effects of digital transformation

This paper presents the main messages of a South American expert roundtable (ERT) on the unintended side effects (unseens) of digital transformation. The input of the ERT comprised 39 propositions from 20 experts representing 11 different perspectives. The two-day ERT discussed the main drivers and challenges as well as vulnerabilities or unseens and provided suggestions for: (i) the mechanisms underlying major unseens; (ii) understanding possible ways in which rebound effects of digital transformation may become the subject of overarching research in three main categories of impact: development factors, society, and individuals; and (iii) a set of potential action domains for transdisciplinary follow-up processes, including a case study in Brazil. A content analysis of the propositions and related mechanisms provided insights in the genesis of unseens by identifying 15 interrelated causal mechanisms related to critical issues/concerns. Additionally, a cluster analysis (CLA) was applied to structure the challenges and critical developments in South America. The discussion elaborated the genesis, dynamics, and impacts of (groups of) unseens such as the digital divide (that affects most countries that are not included in the development of digital business, management, production, etc. tools) or the challenge of restructuring small- and medium-sized enterprises (whose service is digitally substituted by digital devices). We identify specific issues and effects (for most South American countries) such as lack of governmental structure, challenging geographical structures (e.g., inclusion in high-performance transmission power), or the digital readiness of (wide parts) of society. One scientific contribution of the paper is related to the presented methodology that provides insights into the phenomena, the causal chains underlying “wanted/positive” and “unwanted/negative” effects, and the processes and mechanisms of societal changes caused by digitalization

AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing

Recently, many AI researchers and practitioners have embarked on research visions that involve doing AI for "Good". This is part of a general drive towards infusing AI research and practice with ethical thinking. One frequent theme in current ethical guidelines is the requirement that AI be good for all, or: contribute to the Common Good. But what is the Common Good, and is it enough to want to be good? Via four lead questions, I will illustrate challenges and pitfalls when determining, from an AI point of view, what the Common Good is and how it can be enhanced by AI. The questions are: What is the problem / What is a problem?, Who defines the problem?, What is the role of knowledge?, and What are important side effects and dynamics? The illustration will use an example from the domain of "AI for Social Good", more specifically "Data Science for Social Good". Even if the importance of these questions may be known at an abstract level, they do not get asked sufficiently in practice, as shown by an exploratory study of 99 contributions to recent conferences in the field. Turning these challenges and pitfalls into a positive recommendation, as a conclusion I will draw on another characteristic of computer-science thinking and practice to make these impediments visible and attenuate them: "attacks" as a method for improving design. This results in the proposal of ethics pen-testing as a method for helping AI designs to better contribute to the Common Good.Comment: to appear in Paladyn. Journal of Behavioral Robotics; accepted on 27-10-201

Value-driven partner search for <i>Energy from Waste</i> projects

Energy from Waste (EfW) projects require complex value chains to operate effectively. To identify business partners, plant operators need to network with organisations whose strategic objectives are aligned with their own. Supplier organisations need to work out where they fit in the value chain. Our aim is to support people in identifying potential business partners, based on their organisation’s interpretation of value. Value for an organisation should reflect its strategy and may be interpreted using key priorities and KPIs (key performance indicators). KPIs may comprise any or all of knowledge, operational, economic, social and convenience indicators. This paper presents an ontology for modelling and prioritising connections within the business environment, and in the process provides means for defining value and mapping these to corresponding KPIs. The ontology is used to guide the design of a visual representation of the environment to aid partner search

Sustainability and the Talentship Paradigm: Strategic Human Resource Management Beyond the Bottom Line

[Excerpt] This paper proposes such a framework that simultaneously shifts the prize to reflect Sustainability and shifts the paradigm of HRM toward a decision science called “Talentship” (Boudreau & Ramstad, 2002). It defines Sustainability and its measures, defines the typical connection between HRM and sustainability using the traditional HRM paradigm. Then, the HC BRidge® talent decision framework that connects HRM, talent, and competitive/financial strategic success, is used to logically make similar connections between HRM, talent and sustainability. Examples from Shell and DuPont show how the combination of shifting the prize and the paradigm reveals pivotal roles for talent that are not apparent with traditional definitions of strategic success and the traditional HRM paradigm