Eco-innovations that reduce carbon emissions help advance sustainability transitions in tourism. This article examines the analytical potential of actor-network theory (ANT) to study eco-innovation. ANT assumes that reality consists of actor-networks made of human and non-human elements that perform actors as network effects. We argue that, in a time when climate change is the simultaneous product and producer of human actions, eco-innovation is better understood when research gives the human and non-human elements that perform eco-innovations equal analytical treatment. We therefore develop an ANT-inspired framework, which we apply in a case study to investigate the development of a specific eco-innovation: CARMACAL, a web-based carbon management application in the Dutch travel industry. We find that technological novelty alone is insufficient to instigate transition. CARMACAL affords multiple new practices with opposite implications for socio-economic and environmental sustainability. The practices triggering most industry support are least effective in addressing tourism's climate impacts and vice versa. Examining eco-innovation through ANT helps us put eco-innovation in a different light. Seemingly contradictory practices may be mutually supportive: their individual strengths and weaknesses may help prevent the failure of eco-innovations. This new possibility opens the way for concerted policies strengthening the contribution of eco-innovations to sustainability transitions.
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There are three volumes in this body of work. In volume one, we lay the foundation for a general theory of organizing. We propose that organizing is a continuous process of ongoing mutual or reciprocal influence between objects (e.g., human actors) in a field, whereby a field is infinite and connects all the objects in it much like electromagnetic fields influence atomic and molecular charged objects or gravity fields influence inanimate objects with mass such as planets and stars. We use field theory to build what we now call the Network Field Model. In this model, human actors are modeled as pointlike objects in the field. Influence between and investments in these point-like human objects are explained as energy exchanges (potential and kinetic) which can be described in terms of three different types of capital: financial (assets), human capital (the individual) and social (two or more humans in a network). This model is predicated on a field theoretical understanding about the world we live in. We use historical and contemporaneous examples of human activity and describe them in terms of the model. In volume two, we demonstrate how to apply the model. In volume 3, we use experimental data to prove the reliability of the model. These three volumes will persistently challenge the reader’s understanding of time, position and what it means to be part of an infinite field. http://dx.doi.org/10.5772/intechopen.99709
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How to reduce carbon emissions and contribute to climate change mitigation? For years the carbon-intensive travel industry has been struggling with this question. Research has addressed the relation between climate change and tourism (e.g., Gössling et al 2015; Becken, 2013; Gössling, 2010; Gössling et al 2010; Bows et al, 2009). Their work produced models and measurement methods, and recommended mitigation policies and actions (Scott, 2011; Dwyer et al, 2010; Gössling et al 2010; McKercher, 2010). Major industry players have since adopted carbon reduction measures in their CSR policies (Thomas Cook group, 2015; TUI Group, 2015). However, the bulk of the travel industry consists of SMEs that typically have limited resources available for CSR. CARMACAL may offer a solution for the sector at large. CARMACAL is a user-friendly application that enables tour operators to accurately measure the complete carbon footprint of their tour packages and integrate carbon management in their business (CSTT, 2016a). The industry acknowledged its relevance: in April 2016 CARMACAL won the WTTC Tourism for Tomorrow Innovation Award
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This paper examines the network governance approach of the Dutch Urban Envoy in the context of multilevel governance in the European Union. This paper aims to answer the research question on how the scope of network governance can explore the performance of the Dutch Urban Envoy. By analyzing network characteristics, such as legitimacy, actor-level properties, and network-level properties, this paper seeks to provide a nuanced understanding of the performance of the Dutch Urban Envoy. Drawing on previous research, this paper identifies the applicability and limitations of assessing network characteristics in understanding advocacy processes. The paper successfully visualizes the networks of the Dutch Urban Envoy and explores their roles and mandates, contributing to determining the added value of their position. However, the network governance approach has limitations in explaining the tangible successes and challenges of the Dutch Urban Envoy that cannot be directly attributed to their overall performance.
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Comprehensive understanding of the merits of bottom-up urban development is lacking, thus hampering and complicating associated collaborative processes. Therefore, and given the assumed relevancies, we mapped the social, environmental and economic values generated by bottom-up developments in two Dutch urban areas, using theory-based evaluation principles. These evaluations raised insights into the values, beneficiaries and path dependencies between successive values, confirming the assumed effect of placemaking accelerating further spatial developments. It also revealed broader impacts of bottom-up endeavors, such as influences on local policies and innovations in urban development.
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Industrial Symbiosis Networks (ISNs) consist of firms that exchange residual materials and energy locally, in order to gain economic, environmental and/or social advantages. In practice, ISNs regularly fail when partners leave and the recovery of residual streams ends. Regarding the current societal need for a shift towards sustainability, it is undesirable that ISNs should fail. Failures of ISNs may be caused by actor behaviour that leads to unanticipated economic losses. In this paper, we explore the effect of these behaviours on ISN robustness by using an agent-based model (ABM). The constructed model is based on insights from both literature and participatory modelling in three real-world cases. It simulates the implementation of synergies for local waste exchange and compost production. The Theory of Planned Behaviour (TPB) was used to model agent behaviour in time-dependent bilateral negotiations and synergy evaluation processes. We explored model behaviour with and without TPB logic across a range of possible TPB input variables. The simulation results show how the modelled planned behaviour affects the cash flow outcomes of the social agents and the robustness of the network. The study contributes to the theoretical development of industrial symbiosis research by providing a quantitative model of all ISN implementation stages, in which various behavioural patterns of entrepreneurs are included. It also contributes to practice by offering insights on how network dynamics and robustness outcomes are not only related to context and ISN design, but also to actor behaviour.
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In spite of renewed attention for practices in tourism studies, the analysis of practices is often isolated from theories of practice. This theoretical paper identifies the main strands of practice theory and their relevance and application to tourism research, and develops a new approach to applying practice theory in the study of tourism participation. We propose a conceptual model of tourism practices based on the work of Collins (2004), which emphasises the role of rituals in generating emotional responses. This integrated approach can focus on individuals interacting in groups, as well as explaining why people join and leave specific practices. Charting the shifting of individuals between practices could help to illuminate the dynamics and complexity of tourism systems.
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In case of a major cyber incident, organizations usually rely on external providers of Cyber Incident Response (CIR) services. CIR consultants operate in a dynamic and constantly changing environment in which they must actively engage in information management and problem solving while adapting to complex circumstances. In this challenging environment CIR consultants need to make critical decisions about what to advise clients that are impacted by a major cyber incident. Despite its relevance, CIR decision making is an understudied topic. The objective of this preliminary investigation is therefore to understand what decision-making strategies experienced CIR consultants use during challenging incidents and to offer suggestions for training and decision-aiding. A general understanding of operational decision making under pressure, uncertainty, and high stakes was established by reviewing the body of knowledge known as Naturalistic Decision Making (NDM). The general conclusion of NDM research is that experts usually make adequate decisions based on (fast) recognition of the situation and applying the most obvious (default) response pattern that has worked in similar situations in the past. In exceptional situations, however, this way of recognition-primed decision-making results in suboptimal decisions as experts are likely to miss conflicting cues once the situation is quickly recognized under pressure. Understanding the default response pattern and the rare occasions in which this response pattern could be ineffective is therefore key for improving and aiding cyber incident response decision making. Therefore, we interviewed six experienced CIR consultants and used the critical decision method (CDM) to learn how they made decisions under challenging conditions. The main conclusion is that the default response pattern for CIR consultants during cyber breaches is to reduce uncertainty as much as possible by gathering and investigating data and thus delay decision making about eradication until the investigation is completed. According to the respondents, this strategy usually works well and provides the most assurance that the threat actor can be completely removed from the network. However, the majority of respondents could recall at least one case in which this strategy (in hindsight) resulted in unnecessary theft of data or damage. Interestingly, this finding is strikingly different from other operational decision-making domains such as the military, police and fire service in which there is a general tendency to act rapidly instead of searching for more information. The main advice is that training and decision aiding of (novice) cyber incident responders should be aimed at the following: (a) make cyber incident responders aware of how recognition-primed decision making works; (b) discuss the default response strategy that typically works well in several scenarios; (c) explain the exception and how the exception can be recognized; (d) provide alternative response strategies that work better in exceptional situations.
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This is a repository containing an agent-based model (code, data, documents and results) of Industrial Symbiosis Network implementation. The repository is related to the publication:Lange, K.P., Korevaar, G., Nikolic, I., Herder, P.M., 2021. Actor Behaviour and Robustness of Industrial Symbiosis Networks: An Agent-Based Modelling Approach, 2020:64:4. JASSS. https://doi.org/10.18564/JASSS.4635The purpose of the model is to explore the influence of actor behaviour, combined with environment and business model design, on the survival rates of Industrial Symbiosis Networks (ISN), and the cash flows of the agents. We define an ISN to be robust, when it is able to run for 10 years, without falling apart due to leaving agents.The model simulates the implementation of local waste exchange collaborations for compost production, through the ISN implementation stages of awareness, planning, negotiation, implementation, and evaluation.One central firm plays the role of waste processor in a local composting initiative. This firm negotiates with other firms to become a supplier of their organic residual streams. The waste suppliers in the model can decide to join the initiative, or to have the waste brought to the external waste incinerator. The focal point of the model are the company-level interactions during the implementation or ending of synergies.The model consists of three types of actors, waste suppliers, processor, and incinerators. The modeled waste supplier and processor are part of the ISN. In the model these agent types negotiate and evaluate the outcomes by means of the Theory of Planned Behavior. The modeled incinerator is part of the external environment. This agent acts as the infinite sink of all waste flows, taking up op the waste that is not used in the local composting initiative.
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