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Tourism has become one of the world's major industries measured in terms of turnover, the number of employees and foreign currency earnings, having at the same time a huge impact on the environment. However, the future development of tourism depends on today's decisions that often do not take into account the positive and the negative impact on the tourism destinations' environment with long-term consequences that are not easily undone. System archetypes are generic structures that are responsible for generic patterns of behavior over time, especially behavior that is counterintuitive. The article aims to explore the possible use of system archetypes in order to increase socially responsible (SR), i.e. systemic thinking and behavior of tourism business organizations, based on the requisite holism theory.

The experimental design methodology has been used in order to test the assumption that individuals familiar with the system archetypes will be more likely to believe that tourism business organizations that operate in tourism destinations should be involved in attaining SR goals. Participants included managers, public authorities and community representatives and were divided into an experiment and a control group. The experiment group was exposed to a workshop on system archetypes, while the control group had no treatment. Structured quantitative interviews were used in order to test differences in attitudes and beliefs on SR of tourism business organizations among the experiment and the control group members.

Natural environment of tourism destinations as tourism's essential resource is often destroyed due to the lack of SR. The research results indicate that the exposure of individuals to system archetypes increased the understanding of importance of SR behavior of tourism business organizations. System archetypes increased individuals' comprehension of the fact that the non-linear causal relationship, time delay and hidden structures of the systems generate complex behavior resulting in damage to the natural environment of tourism destinations.

The survey research on a restricted number of subjects was applied. In order to overcome limitations of such an approach, the rigor procedure for data collection and analysis was used.

Managers of tourism business organizations could use system archetypes to analyse the impact of their activities on tourism destinations environment and thus improve the social responsibility of their decisions. The authors propose the formation of system archetypes and their applications repository in an organized environment to enhance understanding of SR behavior of tourism business organizations.

The authors used experimental design in order to test whether exposure of stakeholders' to system archetypes changes their attitudes regarding SR, with the goal to increase the understanding of various conflicts that emerge from the fact that tourism depends on unspoiled environment and at the same time tourism is a potential polluter. Available literature offers no similar applications of the system archetype approach to systemic behavior via SR in tourism.

This paper seeks to describe the evolution of the web outside academia and the Academy's struggle both to adapt and to cope, and to recommend policy changes vis‐à‐vis the barriers to innovation in the higher education market.

The paper first describes the evolution of the web and the Academy's struggle and goes on to deal with breaking down the barriers to openness and monetization.

The paper finds that there is a giant usage gap between the way computing has been used and the new approach to social computing. Also there is a growth model gap vis‐à‐vis the growth model and user experience. Finally, the interoperability gap – educational institutions should look towards request‐driven interoperability.

The paper suggests recommendations – minor policy decisions, which will help to create an ecosystem of innovation in higher education.

Seeks to extend the traditional understanding of productivity by more closely coupling task and behavioral elements of work within the bounds of 1890s mass production principles and 1990s lean production principles. Comparisons are made between common batch and queue manufacturing methods and the typical behaviors exhibited by people in the workplace which are known to be deficient in their ability to establish trust and gain commitment. A new model for leadership and organizational behavior based upon the philosophy and practice of lean production is presented, and contains concrete symbols rooted in behavioral science, philosophy, economics, and industrial engineering. The practice of lean behaviors is shown to be an essential element for producing healthy work environments that can lead to economic growth, as well as help businesses sustain efforts to become lean producers. The principal focus is on how individuals can consistently behave in ways that create value, with the goal of eliminating waste in both intra‐ and interpersonal relationships. Also included are guidelines to facilitate the selection and development of people that possess basic capabilities for eliminating waste in their thoughts and actions.

This article addresses issues associated with applications of ideas from “chaos theory” to educational administration and leadership as found in the literature. Implications are considered in relation to claims concerning the behaviour of non‐linear dynamic systems, and to the nature of the interpretations and recommendations that are made. To aid the analysis a simple non‐linear model is constructed and its behaviour simulated. Questions emerging from the analysis are used to focus on issues deemed significant, both for evaluating arguments presented on behalf of chaos, and for furthering insights aimed at enhancing the understanding and practice of leadership in organisations.

The overall objective of this study is to holistically analyse the complexities involved in the adoption of sustainable wood supply chain in the Amazon and to develop strategic interventions to improve the system.

This study uses the systems thinking and modelling framework that included problem structuring followed by the development of a systems model. Tumbira and Santa Helena do Inglês, two Amazonian communities, were used as a case. Data were collected by staying inside the Amazon, observing the community members and interacting with them during their activities, including logging inside the forest.

A behaviour over time (BOT) graph developed as a part of problem structuring showed that deforestation of the Amazon is still increasing, despite the creation of protected areas and NGO activities in the region. Developing a sustainable wood supply chain is considered as one of the approaches for sustainable forestry in the Amazon, but its adoption is slow. The systems model captured the underlying structure of this system and explained this counterintuitive behaviour using eleven interacting feedback loops.

This study is confined to two Amazonian communities and recognises the limitations of generalisations.

This paper illustrates the development of three strategic interventions to improve the adoption of sustainable wood supply chain in the Amazon.

This study highlights the real issues faced by real communities living in the Amazon for adopting sustainable supply chain management (SSCM) practices. It contributes to the literature on sustainable wood supply chain by systemically analysing the challenges in its adoption, not sufficiently discussed in the literature.

The collapse of the sub‐prime mortgage market parallels several earlier failures within the financial services sector, begging the question why the lessons of past failures were not learned. Throughout history from the tulip bulb crisis of the 1600s to the most recent economic crisis, decision‐makers keep making the same mistakes. This occurs in part because of a failure to recognize similarities between past and current events. This conceptual paper aims to use systems dynamics tools to examine the crisis and illustrate how seemingly independent events are linked.

The paper provides a fundamental review of systems thinking concepts and uses a tool of systems dynamics, causal loop diagrams (CLD), to provide a visualization of the dynamics of the sub‐prime market collapse over time. This approach provides insights that traditional analytic methods do not, which should be beneficial in understanding future cases where speculative demand drives behavior.

The paper uses the CLD tool to understand the evolution of the recent financial crisis. It finds that the dynamics of the collapse closely mirror many historic financial disasters (the paper cites several) and proposes the fundamental CLD of this phenomenon be elevated to a special category of the “limits to growth” archetype model. The paper makes this recommendation in the hope it will allow investors and policy makers to quickly recognize future speculative events when they happen again.

This paper argues that, despite the surface level uniqueness and complexity of the recent economic collapse, there is an underlying simplicity that links the recent collapse with speculative boom/busts going back over 400 years. The representation that the paper develops applies the language of systems thinking to the most recent financial crisis. A mental model of this system and the corresponding systems structure can be used to not only understand what happened, but also inform decision‐makers when similar speculative behavior occurs in the future.

System dynamics is a whole-system modelling and learning approach, useful for tackling non-linear problems, such as sustainable urban development. The purpose of this paper is to review system dynamics applications in the simulation of sustainable urban development over a period from 2005 to 2017.

The analysis reveals that the number of applications of system dynamics modelling in the area of urban sustainable development increased in the analysed period. Research has changed its focus from the modelling of environmental problems to more complex models, portraying the multidimensional socio-economic processes that have an impact on the sustainability of urban development. Analysed case studies most often use the behaviour reproduction test for model validation, but without a unified approach. In most cases, modelling has been done in China, Germany and the USA, while urban development in the Eastern European countries, Africa and Latin America has not often been investigated. This paper indicates the knowledge gaps and suggests future research directions.

Papers that report the use of system dynamics modelling reveal a wide range of applications in urban sustainability. The analysis shows significant emphasis on environmental problems, while the interest for modelling social problems has been increasing during the last several years. Most of the modelled problems examine the sustainability of resources (land, water) and waste management, which are used for insights into the reasons for the system behaviour, forecasting future behaviour and policy testing.

The presented models were developed in most cases for the purpose of understanding the phenomena examined, as well as the future use of the models in policy planning. This brings us back to the need for greater stakeholder involvement, not only in the initial phase, but also during the whole modelling process, which could increase understanding, use and ownership of the models in the future, and thus increase their practical application.

Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.