Marco Aurisicchio
Imperial College London, Mechanical Engineering, Faculty Member
Consumer goods industries are increasingly incorporating circular practices (e.g. recycling and reuse) into their offerings to reduce environmental impact and combat the issue of waste. The success of these offerings depends on consumers... more
Consumer goods industries are increasingly incorporating circular practices (e.g. recycling and reuse) into their offerings to reduce environmental impact and combat the issue of waste. The success of these offerings depends on consumers significantly changing their behaviour across the journey of purchase, use and disposal. There are a number of unique features that demarcate circular behaviour from other types of consumer behaviour, such as the fact that consumers must operate within a system of interconnected elements to enable resources to flow continuously. However, research to date has applied methodological approaches and behaviour models in a way that only addresses a fraction of the picture. In moving beyond this reductive framing of circular behaviour, a systems thinking framework is introduced, integrating circular behaviour research. The framework is applied to a case example and preliminary findings are presented, which highlight the capability of the proposed framework to explain broad and deep data on circular consumer behaviour. This can be used to pinpoint specific problems in an interconnected chain of behaviours, understand how system elements can cause unintended behavioural consequences, highlight barriers and opportunities to circularity and develop more informed intervention strategies.
Research Interests:
Within the circular economy, the Product-Service System (PSS) is a key business model to slow down and dematerialise resource consumption between manufacturers or service providers and customers. Material-Service Systems (MSSs) have been... more
Within the circular economy, the Product-Service System (PSS) is a key business model to slow down and dematerialise resource consumption between manufacturers or service providers and customers. Material-Service Systems (MSSs) have been proposed as a business model to develop the performance economy focusing on the relationship between material suppliers and manufacturers. The aim of this research is to introduce and develop the MSS concept and to apply it to a real-world case study. The research involved two stages. First, a modelling method is proposed to represent the flow, transformation and ownership of resources by the stakeholders in a supply chain. Second, the method is tested using steel industrial drums as a case. The results indicate that the MSS has the potential to radically transform the steel drums industry and it could work effectively with a PSS within a reuse system to recondition and reintroduce obsolete drums into the market.
Research Interests:
Fast-Moving Consumer Goods (FMCGs) are products that are purchased and consumed frequently to satisfy continuous consumer demand. In a linear economy, FMCGs are typically offered as single-use and disposable products. Limitations in... more
Fast-Moving Consumer Goods (FMCGs) are products that are purchased and consumed frequently to satisfy continuous consumer demand. In a linear economy, FMCGs are typically offered as single-use and disposable products. Limitations in product design, insufficient collection systems, and inefficient recovery processes prevent high recycling rates. As a result, FMCGs often end up in landfill or the environment, contributing to waste accumulation, and pollution. Whilst recycling is the most common waste prevention strategy practiced by the industry, the process is limited to addressing only the final stage of the product life cycle, omitting the overproduction and consumption
of materials typical of FMCGs. Instead, reuse is a strategy that is capable of extending the value of resources by slowing material flows. Novel reuse models that require the consumer to interact with
durable primary packaging and products are emerging in the FMCG industry. However, the constituent elements and operation principles of such reuse models are not fully understood. The aim of this
research is to develop a comprehensive characterisation of reuse models and to evaluate their potential to deliver environmental value. Method: Ninety-two reuse offerings were selected and analysed to
identify their reuse system elements. The analysis led to the identification of a framework including five reuse models, which were also evaluated to establish their capability to deliver environmental value
when compared to conventional single-use and disposable FMCGs. Results: Currently in the FMCG sector, reusable products are mostly durable packaging, such as bottles and containers for beverages,
foods, personal and home care goods, and are infrequently durable products, such as personal and baby care goods, including razors and nappies. Three reuse models involve exclusive reuse, a behaviour by
which a reusable product is used and kept by a single user throughout the product lifetime. In exclusive reuse models, users are provided with either a reusable product (model 1), a reusable product with
preparation for reuse infrastructure (model 2), or access to preparation for reuse infrastructure (model 3). Two reuse models involve sequential reuse, a behaviour by which a reusable product is used by multiple
users throughout the product lifetime and returned after each use to a provider. In sequential reuse models, users are provided with either a reusable product with preparation for reuse infrastructure and
provider-operated recovery services (model 4), or a reusable product and provider-operated services for recovery and preparation for reuse (model 5). Whilst the five reuse models can operate standalone, some offerings were found to embed a multi-model approach. Both exclusive and sequential reuse models are capable of delivering environmental value by reducing the use of natural resources and retaining their value in the economy. In particular, sequential reuse models were found to have a greater capability to increase the share of recyclable resources by offering access to infrastructure for the closure of material
loops. Conclusions: Consumers can currently access five reuse models and choose between exclusive and sequential reuse behaviours. When adopted in conjunction with recycling, reuse models can enable
a more efficient consumption of FMCGs. Providing the infrastructure necessary to enable reuse and recycling is key to the successful and sustainable deployment of the reuse models.
of materials typical of FMCGs. Instead, reuse is a strategy that is capable of extending the value of resources by slowing material flows. Novel reuse models that require the consumer to interact with
durable primary packaging and products are emerging in the FMCG industry. However, the constituent elements and operation principles of such reuse models are not fully understood. The aim of this
research is to develop a comprehensive characterisation of reuse models and to evaluate their potential to deliver environmental value. Method: Ninety-two reuse offerings were selected and analysed to
identify their reuse system elements. The analysis led to the identification of a framework including five reuse models, which were also evaluated to establish their capability to deliver environmental value
when compared to conventional single-use and disposable FMCGs. Results: Currently in the FMCG sector, reusable products are mostly durable packaging, such as bottles and containers for beverages,
foods, personal and home care goods, and are infrequently durable products, such as personal and baby care goods, including razors and nappies. Three reuse models involve exclusive reuse, a behaviour by
which a reusable product is used and kept by a single user throughout the product lifetime. In exclusive reuse models, users are provided with either a reusable product (model 1), a reusable product with
preparation for reuse infrastructure (model 2), or access to preparation for reuse infrastructure (model 3). Two reuse models involve sequential reuse, a behaviour by which a reusable product is used by multiple
users throughout the product lifetime and returned after each use to a provider. In sequential reuse models, users are provided with either a reusable product with preparation for reuse infrastructure and
provider-operated recovery services (model 4), or a reusable product and provider-operated services for recovery and preparation for reuse (model 5). Whilst the five reuse models can operate standalone, some offerings were found to embed a multi-model approach. Both exclusive and sequential reuse models are capable of delivering environmental value by reducing the use of natural resources and retaining their value in the economy. In particular, sequential reuse models were found to have a greater capability to increase the share of recyclable resources by offering access to infrastructure for the closure of material
loops. Conclusions: Consumers can currently access five reuse models and choose between exclusive and sequential reuse behaviours. When adopted in conjunction with recycling, reuse models can enable
a more efficient consumption of FMCGs. Providing the infrastructure necessary to enable reuse and recycling is key to the successful and sustainable deployment of the reuse models.
Research Interests:
Bringing positive experiences to users is one of the key goals when designing conversational agents (CAs). Yet we still lack an understanding of users' underlying needs to achieve positive experiences and how to support them in design.... more
Bringing positive experiences to users is one of the key goals when designing conversational agents (CAs). Yet we still lack an understanding of users' underlying needs to achieve positive experiences and how to support them in design. This research first applies Self-Determination Theory in an interview study to explore how users' needs of competence, autonomy and relatedness could be supported or undermined in CA experiences. Ten guidelines are then derived from the interview findings. The key findings demonstrate that: competence is affected by users' knowledge of the CA capabilities and effectiveness of the conversation; autonomy is influenced by flexibility of the conversation, personalisation of the experiences, and control over user data; regarding relatedness, users still have concerns over integrating social features into CAs. The guidelines recommend how to inform users about the system capabilities, design effective and socially appropriate conversations, and support increased system intelligence, customisation, and data transparency. CCS CONCEPTS • Human-centered computing~Human computer interaction (HCI)
Research Interests:
Purpose Delays in construction projects are both disruptive and expensive. Thus, potential causes of schedule deviation need to be identified and mitigated. In previous research, delay factors were predominantly identified through surveys... more
Purpose Delays in construction projects are both disruptive and expensive. Thus, potential causes of schedule deviation need to be identified and mitigated. In previous research, delay factors were predominantly identified through surveys administered to stakeholders in construction projects. Such delay factors are typically considered individually and presented at the same level without explicitly examining their sequence of occurrence and interrelationships. In reality, owing to the complex structure of construction projects and long execution time, non-conformance to schedule occurs by a chain of cascading events. An understanding of these linkages is important not only for minimising the delays, but also for revealing the liability of stakeholders. To explicitly illustrate the cause-effect and logical relationship between delay factors and further identify the primary factors which possess the highest significance toward the overall project schedule delay, the fault tree analysis (FTA) method, a widely implemented approach to root cause problems in safety-critical systems, has been systematically and rigorously executed. Design/methodology/approach Using a case study, the in-depth analysis for identifying the most fundamental delay factors has been fulfilled through FTA's tree structure. The logical deduction for mapping and visualising the chronological and cause-effect relationships between various delay factors have been conducted through the logical gate functions of FTA based on the data collected from the site event log, prefabricated structural component manufacturing log and face-to-face interview with project stakeholders. Findings The analysis identified multiple delay factors and showed how they are linked logically and chronologically from the primary causes to the ultimate undesired event in a rigorous manner. A comparison was performed between the proposed FTA model and the conventional investigation 1 method for revealing the responsibility employed in the construction industry, consisting of event logs and problem reports. The results indicate that the FTA model provides richer information and a clearer picture of the network of delay factors. Importantly, the ability of FTA in revealing the causal connection between the events leading to the undesired delays and in comprehending their prominence in the real-world construction project have been clearly displayed. Originality/ value This study demonstrates a new application of FTA in the construction sector allowing the delay factors to be understood and visualised from a new perspective. The new approach has practical use in finding and removing root causes of the delay, as well as clarifying the attribution of responsibility that causes the delay.
Research Interests:
Reuse systems require consumers to embrace new ways of acquiring, using and disposing of fast-moving consumer goods (FMCGs). In these systems, consumers have to perform chains of diverse behaviours. To date, the literature has focused on... more
Reuse systems require consumers to embrace new ways of acquiring, using and disposing of fast-moving consumer goods (FMCGs). In these systems, consumers have to perform chains of diverse behaviours. To date, the literature has focused on understanding reuse as an individual circular behaviour, neglecting the behaviour chains within which it occurs. A deeper understanding of how behaviour chains are performed is a prerequisite to the successful design of circular FMCGs consumption systems. This research maps behaviour chains occurring within the consumption phase of twenty business-to-consumer reuse systems operating in the FMCGs sector. The chains have been constructed using data on behaviour extracted from user instructions and were studied within the broad context of product reuse offerings. This has enabled the identification of six key attributes of behaviour chains: 1) paths; 2) directions; 3) behaviours; 4) dependencies; 5) levels; and 6) performance indicators. These attributes show that behaviours chains have linear paths but can include forking and colliding points; unfold forward and have a return loop; include primary, secondary and ultimate circular behaviours; have direct and indirect causal dependencies; can be modelled at different levels; and have specific performance indicators. The research provides novel and holistic understanding of how reuse behaviour occurs within circular consumption systems.
Research Interests:
The circular economy is a model of production and consumption to address the relentless depletion of resources and the accumulation of waste. In the circular economy literature, there are sparse suggestions that Product-Service Systems... more
The circular economy is a model of production and consumption to address the relentless depletion of resources and the accumulation of waste. In the circular economy literature, there are sparse suggestions that Product-Service Systems (PSSs) have the potential to produce closed-loop resource flows. This study explored this potential using a systematic literature review focused on the use phase and obsolescence. We identified twenty-one PSS elements that contribute to closed loops and categorised them by six architectural levels, i.e. services, resources, stakeholders, contract, value delivery, and systems and tools. We then structured the PSS elements and their contributions to closed loops under four subfunctions and consolidated them in a novel framework. Intercepting and transitioning obsolete resources are subfunctions demanded by a PSS to achieve an operational solution. Stating and governing resource lifetime are subfunctions wanted by a PSS to improve the solution. The results call for a functional approach to PSS design and consideration of obsolescence of products, components and materials. The implications of the results are that PSS elements contribute to achieving circularity by satisfying specific subfunctions and the data in the framework provide a basis for selecting suitable PSS elements.
Research Interests:
While previous studies of Conversational Agents (e.g. Siri, Google Assistant, Alexa and Cortana) have focused on evaluating usability and exploring capabilities of these systems, little work has examined users’ affective experiences. In... more
While previous studies of Conversational Agents (e.g. Siri,
Google Assistant, Alexa and Cortana) have focused on evaluating
usability and exploring capabilities of these systems,
little work has examined users’ affective experiences. In this
paper we present a survey study with 171 participants to
examine CA users’ affective experiences. Specifically, we
present four major usage scenarios, users’ affective responses
in these scenarios, and the factors which influenced the affective
responses. We found that users’ overall experience was
positive with interest being the most salient positive emotion.
Affective responses differed depending on the scenarios.
Both pragmatic and hedonic qualities influenced affect. The
factors underlying pragmatic quality are: helpfulness, proactivity,
fluidity, seamlessness and responsiveness. The factors
underlying hedonic quality are: comfort in human-machine
conversation, pride of using cutting-edge technology, fun
during use, perception of having a human-like assistant, concern
about privacy and fear of causing distraction.
Google Assistant, Alexa and Cortana) have focused on evaluating
usability and exploring capabilities of these systems,
little work has examined users’ affective experiences. In this
paper we present a survey study with 171 participants to
examine CA users’ affective experiences. Specifically, we
present four major usage scenarios, users’ affective responses
in these scenarios, and the factors which influenced the affective
responses. We found that users’ overall experience was
positive with interest being the most salient positive emotion.
Affective responses differed depending on the scenarios.
Both pragmatic and hedonic qualities influenced affect. The
factors underlying pragmatic quality are: helpfulness, proactivity,
fluidity, seamlessness and responsiveness. The factors
underlying hedonic quality are: comfort in human-machine
conversation, pride of using cutting-edge technology, fun
during use, perception of having a human-like assistant, concern
about privacy and fear of causing distraction.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
This paper presents the results of developing and evaluating an automatic approach that identifies causality boundaries from causality expressions. This approach focuses on explicitly expressed causalities extracted from Root Cause... more
This paper presents the results of developing and evaluating an automatic approach that identifies causality boundaries from causality expressions. This approach focuses on explicitly expressed causalities extracted from Root Cause Analysis (RCA) reports in engineering domains. Causality expressions contain Cause and Effect pairs and multiple expressions can occur in a single sentence. Causality boundaries are semantically annotated text fragments explicitly indicating which parts of a fragment denote Causes and corresponding Effects. To identify these, linguistic analysis using natural language processing (NLP) is required. Current off-the-shelf NLP tools are mostly developed based on the language models of general-purpose texts, e.g. newspapers. The lack of portability of these tools to engineering domains has been identified as a barrier to achieving comparable analysis accuracy in new domains. One of the reasons for this is the rare and unpredictable behaviours of certain words in closed domains. Ill-formed sentences, abbreviations and capitalization of common words also contribute to the difficulty. The proposed approach addresses this problem by using a probability-based method that learns the probability distribution of the boundaries not only from the NLP analysis but also from the local contexts that exploit language conventions occurred in the RCA reports. Using a collection of RCA reports obtained from an aerospace company, a test showed that the proposed approach achieved 86% accuracy outperforming a baseline approach that relied only on the NLP analysis.