Search results

Business realities include delays, unintended downstream consequences, exponential versus linear relationships, “hidden demons,” and virtuous and viscous feedback cycles. Executives often respond to these realities by applying nearsighted short-term solutions that contribute to long-run business failure. We provide core propositions and a framework for causal mapping and testing “micro-worlds” of real-life marketing-buying realities. A microworld is a set of explicit assumptions about how things get done, that is, how each variable in a marketing-buying system relates to other variables in the system. The framework suggests applying eight steps linking systems-thinking cause mapping, policy mapping, and systems dynamics modeling. The chapter reviews case research studies that apply the eight steps. Modeling system dynamics of business relationships aims to run simulations of the resulting microworld model of a specific reality; the main aim goes beyond description and explanation to offer prescriptions that reduce the occurrence of viscous cycles and encourage decisions leading to virtuous cycles. Hopefully, this chapter serves to awareness and use of system dynamics tools among case study researchers and executives in business and industrial marketing.

Pervasive computing environments such as a pervasive campus domain, shopping, etc. will become commonplaces in the near future. The key to enhance these system environments with services relies on the ability to effectively model and represent contextual information, as well as spontaneity in downloading and executing the service interface on a mobile device. The system needs to provide an infrastructure that handles the interaction between a client device that requests a service and a server which responds to the client's request via Web service calls. The system should relieve end‐users from low‐level tasks of matching services with locations or other context information. The mobile users do not need to know or have any knowledge of where the service resides, how to call a service, what the service API detail is and how to execute a service once downloaded. All these low‐level tasks can be handled implicitly by a system. The aim of this paper is to investigate the notion of context‐aware regulated services, and how they should be designed, and implemented.

The paper presents a detailed design, and prototype implementation of the system, called mobile hanging services (MHS), that provides the ability to execute mobile code (service application) on demand and control entities' behaviours in accessing services in pervasive computing environments. Extensive evaluation of this prototype is also provided.

The framework presented in this paper enables a novel contextual services infrastructure that allows services to be described at a high level of abstraction and to be regulated by contextual policies. This contextual policy governs the visibility and execution of contextual services in the environment. In addition, a range of contextual services is developed to illustrate different types of services used in the framework.

The main contribution of this paper is a high‐level model of a system for context‐aware regulated services, which consists of environments (domains and spaces), contextual software components, entities and computing devices.

Given that a large proportion of refugees and forced im/migrants today are school-age, schools are widely assumed to be sites where integration will happen. How this integration will occur and whether education policies facilitate social cohesion is unclear. Focusing on California and Berlin as examples of politically left-leaning states that receive immigrants in substantial numbers, this chapter seeks to examine their immigration, integration, and education policies. Using an original conceptual framework, this chapter analyzes how relevant federal and state policies have evolved since the 1980s in these two contexts. This chapter considers integration to be the process by which immigrants identify with the receiving country (RC) and their previous contexts, provided that the RC is supportive and accepting. The goal of integration is less inequality along ethnic or cultural lines. By analyzing policies in terms of immigrant students’ identity formation and conceptions of equality, this chapter argues that the evolution of such policies in Berlin and California has not always been linear. Moreover, while both states consider diversity to be positive, their policies do not extend to facilitating a new culture that productively operationalizes the diversity of immigrant and non-immigrant students.

This article sets out to describe the benefits of systems thinking in overcoming short‐sighted decision making in business and industrial marketing.

The article illustrates specific tools and recent applications of systems thinking research.

The basic building‐blocks for creating microworlds are the claims made by stakeholders running and affected by real‐life systems.

Suggestions for future research includes transforming research designs from linear one‐way models to models expressly recognizing time delays, feedback loops among variables, and seemingly hidden, unimportant relationships.

All business exchanges involve systems and there is more complexity than is readily apparent; systems thinking helps decision makers to deeply understand what is really happening.

This article advises replacing the one‐direction thinking and research paradigm that dominates business and industrial marketing with systems thinking and system dynamics modeling; the article identifies examples and the literature necessary to embrace this alternative paradigm.

This article helps secondary teachers use online maps about the COVID-19 pandemic to develop students' critical map literacy and digital geographic information literacy while helping students analyze the pandemic and its impact on society. The purpose of this paper is to discuss unique features of online maps, suggest six questions to bring to online maps, and provide an activity and resources to develop students' skill in using these maps.

For social studies teachers, online interactive maps create opportunities as well as challenges. They can be more engaging and interesting than static maps. They also show the relevance of key themes in geography as well as the power of maps to convey information. Maps about COVID-19 are used to explore themes in geography.

Interpreting COVID-19 online maps can help students learn about the pandemic, evaluate the decisions of health officials and elected leaders, and thus develop tools to participate in society as active citizens.

Young people and adults are often more engaged by interactive online sources; however, online maps require teachers to develop new approaches to teaching basic and critical map literacy that include elements of digital geographic information literacy. Students can learn to ask questions of maps while learning about COVID-19.

The literature emphasises that integration of disaster risk reduction (DRR) into planning processes is a key to reduce natural disaster losses, boost socio‐economic development needs and ensure sustainability in development gains. But linking DRR to the infrastructure reconstruction sector has become a challenge in developing country settings. Therefore, the purpose of the main research, of which this paper is based on, is to explore how integration of DRR into infrastructure reconstruction should be done in such a way to contribute to socio‐economic development process. As a part of this main aim, this paper focuses on exploring the existing gap in the concept of DRR at the policy‐making level and the infrastructure reconstruction project level. Thus, the paper seeks to review the current policies on post‐disaster reconstruction and DRR at the national and intermediate‐organisational level in Sri Lanka and integration of DRR concept within these policies. Not limiting to the policies, DRR processes were assessed on their success through the level of implementation of DRR strategies at the post‐disaster infrastructure reconstruction projects.

The paper is based on the data collated from a case study conducted in a water supply and sanitation reconstruction project in Sri Lanka supported by expert interviews among national and intermediate‐organisational level policy makers those who are involved in the development of policies related to disaster management and construction activities.

The results highlight the lack of individual policies on reconstruction and DRR of reconstruction at the national and intermediate‐organisational level except certain sections within certain policies. It was found that integration of DRR within these policies is lower than the level of importance of such integration. Further, the level of implementation of these policies in practise is average as it is averted by required speed and quality of reconstruction, availability of finances for reconstruction, the scale of reconstruction projects, reliability and practicability of policies, legitimacy of policies and adequacy of authority delegated to the relevant bodies, the consistency of various policies, detail explanations on relationships with other policies, the level of awareness about policies by the relevant bodies, attitude of construction professionals and experience of reconstruction bodies in the field of disaster reconstruction.

The findings of this paper is not limited to one specific policy related to disaster management or construction in Sri Lanka. It represents an overall view of most of the existing policies in the field. Furthermore, the data collection was limited to the Sri Lanka context.

The findings of this paper will be useful to relevant policy makers to understand the areas needed further attention within the policies in terms of integration of DRR concept within them.

The paper is unique in its findings as it discovers overall gaps in the concept of DRR within the policies and actual infrastructure reconstruction project practises.

This paper analyses the justification of technological choices and options in the context of nuclear energy policy. We argue that “society” increasingly demands a justification with regard to the level of uncertainty and inequality a certain technological choice induces. We aim to demonstrate that policy makers in fact do address these issues, but depending on how they define the problem, this is done in a more explicit (overt) or implicit (covert) way.

First, the changing context with regard to the justification of technological choices is briefly sketched. We draw the attention to the link between the way a certain (energy) policy problem is defined, and the way the framework for political decision‐making is set up in response to the problem. In order to clarify this observation, we make use of a scheme derived from policy sciences, mapping out policy problems in two dimensions: the (lack of) certainty concerning the kinds of knowledge a problem may require, and the (lack of) consensus on relevant values (i.e. “the common good”, “basic rights”, etc.). Each type of policy problem requires a distinct solution strategy. A so‐called Type III‐error occurs when the wrong problem is solved by employing a strategy which does not apply to the problem at hand. In that case, political theory predicts strategic behavior in order to actively suppress or blur value differences. The Belgian decision to phase out nuclear power is used as a case study to illustrate some of the theoretical implications of the scheme.

Several Type III‐errors could be demonstrated in the case of the Belgian phase out. In this case, social learning was severely hampered by different methodological approaches; lack of data; different perceptions of relevant time scales; different framing of the problem; institutional barriers; lack of communication; strategic use of scientific assessments by different stakeholders; and insufficient knowledge of scientific assessments.

The paper aims to broaden the debate on energy policy outside the boundaries of institutional decision‐making. We conclude with some practical recommendations for future energy policy, regarding problem structuring, defining possible options, goal and strategy formulation and monitoring of choices.

Pervasive environments are mostly based on the ad hoc networking paradigm and are characterized by ubiquity in both users and devices and artifacts. In these inherently unstable conditions and bearing in mind the resource’s limitations that are attributed to participating devices, the deployment of Knowledge Management techniques is considered complicated due to the particular requirements. Security considerations are also very important since the distribution of knowledge information to multiple locations over a network, poses inherent problems and calls for advanced methods in order to mitigate node misbehaviour and in order to enforce authorized and authenticated access to this information. This paper addresses the issue of secure and distributed knowledge management applications in pervasive environments. We present a prototype implementation after having discussed detailed design principles as far as the communications and the application itself is regarded. Robustness and lightweight implementation are the cornerstones of the proposed solution. The approach we have undertaken makes use of overlay networks to achieve efficiency and performance optimization, exploiting ontologies. The work presented in this paper extends our initial work to tackle this problem, as this was described in (28).