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Vision, audition, olfactory, tactile and taste are five important senses that human uses to interact with the real world. As facing more and more complex environments, a sensing system is essential for intelligent robots with various types of sensors. To mimic human-like abilities, sensors similar to human perception capabilities are indispensable. However, most research only concentrated on analyzing literature on single-modal sensors and their robotics application.

This study presents a systematic review of five bioinspired senses, especially considering a brief introduction of multimodal sensing applications and predicting current trends and future directions of this field, which may have continuous enlightenments.

This review shows that bioinspired sensors can enable robots to better understand the environment, and multiple sensor combinations can support the robot’s ability to behave intelligently.

The review starts with a brief survey of the biological sensing mechanisms of the five senses, which are followed by their bioinspired electronic counterparts. Their applications in the robots are then reviewed as another emphasis, covering the main application scopes of localization and navigation, objection identification, dexterous manipulation, compliant interaction and so on. Finally, the trends, difficulties and challenges of this research were discussed to help guide future research on intelligent robot sensors.

Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined.

This paper reviews various technologies that can be used, either alone or in combination, for developing a future smart knife for robotic meat cutting, with possibilities for their integration into automatic meat processing. Optical methods, Near Infra-Red spectroscopy, electrical impedance spectroscopy, force sensing and electromagnetic wave-based sensing approaches are assessed against the defined criteria for a smart knife.

Optical methods are well established for meat quality and composition characterisation but lack speed and robustness for real-time use as part of a cutting tool. Combining these methods with artificial intelligence (AI) could improve the performance. Methods, such as electrical impedance measurements and rapid evaporative ionisation mass spectrometry, are invasive and not suitable in meat processing since they damage the meat. One attractive option is using athermal electromagnetic waves, although no commercially developed solutions exist that are readily adaptable to produce a smart knife with proven functionality, robustness or reliability.

This paper critically reviews and assesses a range of sensing technologies with very specific requirements: to be compatible with robotic assisted cutting in the meat industry. The concept of a smart knife that can benefit from these technologies to provide a real-time “feeling feedback” to the robot is at the centre of the discussion.

The purpose of this paper is to characterize distracted driving by quantifying the response time and response intensity to an emergency stop using the driver’s physiological states.

Field tests with 17 participants were conducted in the connected and automated vehicle test field. All participants were required to prioritize their primary driving tasks while a secondary nondriving task was asked to be executed. Demographic data, vehicle trajectory data and various physiological data were recorded through a biosignalsplux signal data acquisition toolkit, such as electrocardiograph for heart rate, electromyography for muscle strength, electrodermal activity for skin conductance and force-sensing resistor for braking pressure.

This study quantified the psychophysiological responses of the driver who returns to the primary driving task from the secondary nondriving task when an emergency occurs. The results provided a prototype analysis of the time required for making a decision in the context of advanced driver assistance systems or for rebuilding the situational awareness in future automated vehicles when a driver’s take-over maneuver is needed.

The hypothesis is that the secondary task will result in a higher mental workload and a prolonged reaction time. Therefore, the driver states in distracted driving are significantly different than in regular driving, the physiological signal improves measuring the brake response time and distraction levels and brake intensity can be expressed as functions of driver demographics. To the best of the authors’ knowledge, this is the first study using psychophysiological measures to quantify a driver’s response to an emergency stop during distracted driving.

As there are different interpretations of the object of study in the preface to the first edition of Capital (Volume I) by Karl Marx, disagreements arise over the object of study on political economy, which becomes a “difficult problem.” The purpose of the paper is to bring a new solution to the “difficult problem.”

Based on the analysis of the logic of the original text, the authors attempted to give a new interpretation of the “difficult problem” by analyzing the structure of Capital. The object of study of political economy is “the relations of production in the broad sense” of the capitalist mode of production.

It comprises relations of production in the narrow sense and exchange relations in the broad sense, and the latter can be divided into exchange relations in the narrow sense and distribution relations. The three of them correspond to Volume I, II and III of Capital, respectively. Consumption in “the four-section theory” is not studied by the political economy.

And the four-section theory is not a part of the theory of Marxist economics but a part of the classical economics criticized by Marx. Therefore, the object of study of socialist political economy with Chinese characteristics is “the relations of production in the broad sense” regarding the socialist mode of production with Chinese characteristics, which is different from the capitalist relations of production in the broad sense.

The purpose of this paper is to describe and theorize the type of hate-love relationship to performance measurement systems (PMSs) that individual researchers tend to develop in academia. To this end, the paper draws upon Foucault’s writings on neoliberalism to analyse PMSs as neoliberal technologies holding certain qualities that can be expected to elicit such ambivalent views.

The paper is based on a qualitative interview study of researchers from three Swedish universities, who were asked to reflect upon questions related to three overall themes, namely, what it means to be a researcher in contemporary academia, the existence and use of PMSs at their universities and if/how such PMSs affected them and their work as researchers.

The empirical findings show that the hate-love relationship can be understood in terms of how PMSs are involved in three central moments of governmentality, where each such moment of governmentality tends to elicit feelings of ambivalence among researchers due to how PMSs rely on: a restricted centrifugal mechanism, normalization rather than normation and a view of individual academics as entrepreneurs of themselves.

Existing literature has provided several important insights into how the introduction and use of PMSs in academia tend to result in both negative and positive experiences and reactions. The current paper adds to this literature through theorizing how and why PMSs may be expected to elicit such ambivalent experiences and reactions among individual researchers.

This paper aims to present a critical review of some literature on climate change and migration through conceptualizing and contextualizing the linkages between the two topics. Much literature on links between climate change and migration tends to downplay ambiguities in the terms and the limited empirical evidence. Conceptualizing refers to the knowledge gaps and the need to understand and detail (even if not agreeing on) conceptual issues such as terminology, definitions, linkages, drivers, thresholds, implications, data requirements and methodologies. Contextualizing refers to understanding the climate change and migration debate within wider topical and geographical contexts. Results identify major qualitative and quantitative gaps. Qualitatively, limited material exists on why people react differently to similar environmental stressors and why certain outcomes may arise. Quantitatively, credible and verifiable measures are not always available for assessing the climate change impacts on migration. This paper recommends a stratified, multi-disciplinary approach to facilitate policies regarding climate change and migration connections.

Illustrative literature review, clustering important themes found in published research and policy documents. First, qualitative aspects are covered, particularly in terms of definitions and terminology. Second, quantitative aspects are detailed, particularly in terms of data available and estimates made. Further, the paper is organized around two distinct areas, i.e. conceptualizing and contextualizing climate change and migration links.

Results identify major qualitative and quantitative gaps. Qualitatively, limited material exists on why people react differently to similar environmental stressors and why certain outcomes may arise. Quantitatively, credible and verifiable measures are not always available for assessing the climate change impacts on migration. This paper recommends a stratified, multi-disciplinary approach to facilitate policies regarding climate change and migration connections.

Without being comprehensive in the literature covered, this paper provided a critical overview and synthesis of climate change and migration work through the lens of conceptualization and contextualization. Major gaps in the literature were identified through an illustrative, not complete, review. Qualitative and quantitative aspects were covered including definitions, terminology, data available and estimates being made.

This paper aims to assess the relationship between cultural profiles and the economic, environmental and social dimensions of electricity companies’ reporting based on the Global Reporting Initiative’s (GRI) sustainability framework.

The authors used the competing values framework, developed by Cameron and Quinn, as the theoretical starting point, with primary data collected through surveys that assessed organizational culture and with secondary data collected through the GRI indicators reported by the companies.

First, the framework shows whether a company’s organizational culture corresponds with one of the following options: clan, adhocracy, market or hierarchy. The results show that most of the companies’ organizational cultures were hierarchical, characterized by a greater need for stability and control and a formal work environment. Clans were the second most popular type of organizational culture, characterized as having greater internal flexibility, more informal environments and fewer hierarchical levels. Second, by combining the above results with the assessment of the GRI indicators in the companies’ sustainability reports, the study checked whether the companies had strong (balanced) or non-balanced cultures. The results show that there was a greater correlation between a strong (balanced) culture and the total value of the reported indicators, compared to a non-balanced culture.

The paper takes an innovative approach by correlating two different but well-recognized methodologies as a way to create a more holistic assessment that can help stakeholders to understand both the way these companies work and how this choice reflects the transparency of their reporting.

This article addresses some of the most pressing issues related to climate change and its potential consequences, namely population migration in Southeast Asia. It sheds light on how slow-onset events interact with other variables to limit the ability of people to adapt to stressors through human mobility.

The study adopts an analytical methodology to evaluate the extent to which the planning policy framework addresses these issues within the context of achieving resilient development.

Climate stressors will force millions of people to move within their own countries, while others will be forced to cross international borders, leaving others stranded. Desertification, sea level rise, ocean acidification, air pollution, changing rainfall patterns and biodiversity loss are all examples of slow-onset processes that the author believes will be exacerbated by climate change.

This will exacerbate many existing humanitarian issues, and more people may be forced to flee their homes as a result. This research helps improve the understanding of migration’s social, economic and environmental implications.

The research offers a novel perspective and analysis of the unique migration challenges arising from climate change in the Southeast Asian context.

The fashion industry is diverse and demands a high amount of resources and labor for its operation. It has powerful tools that can positively impact the environment and society as a whole. In this sense, it becomes necessary for fashion to adopt sustainable strategies quickly. One way would be the adoption of eco-innovations by companies in the sector. The objective of this research is to identify the main eco-innovation initiatives carried out by companies in the fashion sector and to verify what the trend is in the sector in relation to the types of eco-innovation, whether technological or non-technological in nature.

To meet the objective, the sector’s sustainability reports are analyzed based on the Global Reporting Initiative (GRI) initiative. The method used to treat the data is content analysis. The authors chose to use the GRI-G4 and GRI-Standards versions of the GRI structure, as they include topics relevant to its stakeholders. The analysis based on these criteria considers 18 reports prepared by four companies (Cia Hering, Grupo Malwee, Dudalina and Lojas Renner).

From the data analysis, it was noticed that eco-innovations of technological trends prevail in Brazilian fashion, in the first place, those of process (24.56%), followed by eco-innovations of product (10.53%). The pressure exerted by internal or external stakeholders will be fueled by the current scenario of sustainable development, positively influencing the adoption of eco-innovation. This characteristic can be attributed to the fashion sector, since technological eco-innovations overlap with non-technological ones in all the years that make up the analysis.

As limitations of this research, it is worth mentioning the availability of GRIs in the fashion sector. Even considering it a step forward, noting that larger companies support the adoption of these reports, it is important to highlight that only four companies make up the available database (Cia Hering, Lojas Renner, Dudalina and Malwee). From the adoption of the dissemination of sustainability reports by other organizations, the base could be expanded.

From this study, practical questions emerge that can contribute to managers and companies in the Brazilian fashion sector. Initially, the focus on eco-innovations is predominantly related to the technological component, with an emphasis on process eco-innovations. In this sense, business actions seek to resolve the accusations normally attributed to the sector, such as the adoption of unsustainable practices. For example, in cotton production, firms use large amounts of pesticides and water, despite the sector being accused of not taking proper responsibility regarding sustainability related issues.

Investment in eco-innovations indicates a positive attitude and change resulting from pressure and the need to return the market to society’s demands for more sustainable production technologies with less environmental impact.

The originality of the study lies in the systematization of a GRI analysis model applied to measure eco-innovations in fashion. Through the applied methodology, it is possible to emphasize that eco-innovations of technological trend prevail in the industry, first in processes and then in product development.

The purpose of this paper is to assess ways in which informality can be understood and reviews an emerging area of management scholarship. The origins and nature of informality are discussed with the aid of two different theoretical tools: “workplace sociology” (WS) and “mixed embeddedness” (ME).

The analysis is grounded in empirical material reflecting different aspects of informality mainly within the ethnic economy, such as a study on the implementation of the National Minimum Wage regulations (Ram et al., 2007; Jones et al., 2004, 2006).

The authors argue that the combination of WS and ME provides a valuable means of content and character of informality. It can also help to explaining variations and patterns within the informal economy, as well as understanding new forms of informality in the ethnic economy and beyond in “superdiverse” contexts.

This paper bridges two different theoretical approaches to explain the interactions between the firm and state regulations, as well as the workplace relations between employer and employees.