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To adapt the segway RMP, a dynamically balancing robot base, to build robots capable of playing soccer autonomously.

Focuses on the electro‐mechanical mechanisms required to make the Segway RMP autonomous, sensitive, and able to control a football.

Finds that turning a Segway RMP into a soccer‐playing robot requires a combined approach to the mechanics, electronics and software control.

Although software algorithms necessary for autonomous operation and infrastructure supplying logging and debugging facilities have been developed, the scenario of humans and robots playing soccer together has yet to be addressed.

Turning the model into a soccer playing robot demonstrates the technique of combining mechanics, electronics and software control.

Shows how the model as a base platform can be developed into a fully functional, autonomous, soccer‐playing robot.

Purpose – The purpose of this chapter is to conduct a critical literature review that examines the origins and development of research on service robots in organizations, as well as the key emotional and cognitive issues between service employees, customers, and robots. This review provides a foundation for future research that leverages the emotional connection between service robots and humans.

Design/Methodology/Approach – A critical literature review that examines robotics, artificial intelligence, emotions, approach/avoid behavior, and cognitive biases is conducted.

Findings – This research provides six key themes that emerge from the current state of research in the field of service robotics with 14 accompanying research questions forming the basis of a research agenda. The themes presented are as follows: Theme 1: Employees have a forgotten “dual role”; Theme 2: The influence of groups is neglected; Theme 3: Opposing emotions lead to uncertain outcomes; Theme 4: We know how robots influence engagement, but not experience; Theme 5: Trust is necessary but poorly understood; and Theme 6: Bias is contagious: if the human mind is irrational…so too are robot minds.

Practical Implications – Practically, this research provides guidance for researchers and practitioners alike regarding the current state of research, gaps, and future directions. Importantly for practitioners, it sheds light on themes in the use of AI and robotics in services, highlighting opportunities to consider the dual role of the employee, examines how incorporating a service robot influences all levels of the organization, addresses motivational conflicts for employees and customers, explores how service robots influence the whole customer experience and how trust is formed, and how we are (often inadvertently) creating biased robots.

Global demand for agricultural commodities, including beef, soy, and palm oil, has driven tropical deforestation throughout the 21st century, threatening biodiversity and ecosystem services while contributing significantly to greenhouse gas emissions. Deforestation in the tropics is a wicked problem because there is no consensus on its solution, conflicting moral and political considerations among stakeholders, and uncertainty about the potential effects of intended solutions. Faced with such complex policy challenges, jurisdictional approaches (JAs) are being increasingly embraced as potential means of increasing policy capacity to tackle deforestation and support the Sustainable Development Goals. JAs integrate tools such as public and private regulations, collaborative planning processes, and payments for ecosystem services to respond to the complexity that characterizes deforestation. In this chapter, we study PROAmazonia, an anti-deforestation JA implemented in Ecuador’s Amazon region since 2017.

Our study shows that enhancing policy capacities to manage wicked problems associated with deforestation requires confronting the inherent complexity of these problems and the wider socio-environmental system in which they emerge. However, this requires integrated policy strategies that exceed the scope of JAs, also demanding support from wider governance structures.

The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers.

This paper uses a conceptual approach that is rooted in the service, robotics and AI literature.

The contribution of this paper is threefold. First, it provides a definition of service robots, describes their key attributes, contrasts their features and capabilities with those of frontline employees, and provides an understanding for which types of service tasks robots will dominate and where humans will dominate. Second, this paper examines consumer perceptions, beliefs and behaviors as related to service robots, and advances the service robot acceptance model. Third, it provides an overview of the ethical questions surrounding robot-delivered services at the individual, market and societal level.

This paper helps service organizations and their management, service robot innovators, programmers and developers, and policymakers better understand the implications of a ubiquitous deployment of service robots.

This is the first conceptual paper that systematically examines key dimensions of robot-delivered frontline service and explores how these will differ in the future.

This study assesses the SDG-related well-being of indigenous communities in India using bibliometric analysis and the ADO-TCM framework. It provides insights into their alignment with sustainable development objectives.

This study analysed 74 high-impact journals using bibliometric analysis to evaluate the well-being of India’s indigenous peoples about the SDGs.

This study analyses the well-being of tribal communities in India using existing scholarly articles and the ADO-TCM framework. It emphasises the importance of implementing Sustainable Development Goals (SDGs) to promote the well-being of indigenous populations.

This study uses bibliometric analysis and the ADO-TCM framework to investigate factors impacting tribal community welfare. It proposes theoretical frameworks, contextual considerations and research methodologies to achieve objectives.

The United Nation's 2030 mission provides scholars, practitioners and governments with a valuable framework to direct their research in a way that tackles societal issues. Towards this aim, some key Sustainable Development Goals focus on improving the well-being of humans and societies; however, the literature dealing with individual financial well-being is still underdeveloped and fragmented. To address this significant research gap, this paper reviews the literature on financial well-being. It provides an in-depth analysis of different theories, mediators and moderators employed in financial well-being studies to deepen the theoretical framework and widen the scope of financial well-being research.

Using the Web of Science Core Collection database (WoS), the literature on financial well-being was reviewed (n = 32) following a systematic review approach.

Findings revealed that (a) there is a limited application of theories in financial well-being studies (n = 19) with the majority of studies (n = 15) employing only one theory; (b) twenty-one different theories were used with the maximum number of theories employed by any study was four; (c) the theory of planned behavior was the most commonly used (n = 4); (d) While a reasonable number of studies examine mediators and moderators in antecedents-financial well-being relationships, studies examining mediators and moderators relationships in financial well-being-outcomes relationships are limited. Based on these findings, this review identified a need for future theory-based financial well-being research and examining the role of underlying and intervening mechanisms in antecedents-financial well-being-outcomes relationships.

The study concludes by suggesting some relevant theories and prospective variables that can explain potential financial well-being relationships. To the best of the author's knowledge, this is the first review on the use of theories, mediators and moderators in financial well-being studies.

The study aims to investigate the differences among urban and rural consumers in terms of their energy and water sustainable consumption behaviour levels and drivers and also empirically blueprint conceptual frameworks highlighting urban and rural consumer drivers to consume sustainably.

This research follows an exploratory design using a qualitative approach; 14 in-depth interviews followed by one focus group were conducted with urban consumers; on the other hand, 18 in-depth interviews followed by one focus group were conducted with rural consumers.

The findings show that no differences exist among urban and rural consumers in terms of both their sustainable consumption levels and their drivers to consume sustainably; such findings were encapsulated in the form of one conceptual framework pertinent to both urban and rural consumers; it has the following relevant factors: consumers’ attitudes toward conservation, subjective norms, perceived behavioural control, self-preference, public media influence, perceived economic value and perceived moral obligation to be relevant antecedents of conservation behaviour, which – in turn – drives sustainable purchase behaviours with the moderating effect of socio-demographic variables.

This paper contributes to extant literature as it provides evidence for the drivers of sustainable consumption behaviours of urban versus rural consumers in emerging countries; it also tentatively answers the question of whether the socio-demographic variables infer a difference in consumers’ sustainable consumption; finally, it studies sustainable consumption from a novel perspective with a focus on the relationship between its two pillars.

To the industrial application of intelligent and connected vehicles (ICVs), the robustness and accuracy of environmental perception are critical in challenging conditions. However, the accuracy of perception is closely related to the performance of sensors configured on the vehicle. To enhance sensors’ performance further to improve the accuracy of environmental perception, this paper aims to introduce an obstacle detection method based on the depth fusion of lidar and radar in challenging conditions, which could reduce the false rate resulting from sensors’ misdetection.

Firstly, a multi-layer self-calibration method is proposed based on the spatial and temporal relationships. Next, a depth fusion model is proposed to improve the performance of obstacle detection in challenging conditions. Finally, the study tests are carried out in challenging conditions, including straight unstructured road, unstructured road with rough surface and unstructured road with heavy dust or mist.

The experimental tests in challenging conditions demonstrate that the depth fusion model, comparing with the use of a single sensor, can filter out the false alarm of radar and point clouds of dust or mist received by lidar. So, the accuracy of objects detection is also improved under challenging conditions.

A multi-layer self-calibration method is conducive to improve the accuracy of the calibration and reduce the workload of manual calibration. Next, a depth fusion model based on lidar and radar can effectively get high precision by way of filtering out the false alarm of radar and point clouds of dust or mist received by lidar, which could improve ICVs’ performance in challenging conditions.

The sharing economy, supported by digital platforms, efficiently matches the demand and supply of underused resources. Expanding globally and impacting different industries is offering a new path to sustainable resource consumption. The United Nations endorsed the sustainable development goals (SDGs), responding to a global call to end poverty, protect the environment and ensure that by 2030, everyone lives in peace and prosperity. Researchers have linked the sharing economy with SGDs, and extensive efforts have been exerted to quantify its impact.

Due to its evolving nature, especially in developing countries, there is a need for research to assess its promises and challenges from the SDG perspective. This research fills in this gap and contributes to the sharing economy studies by exploring its evolution within the framework of sustainable development goals, followed by an assessment of various methodologies for measuring the sharing economy and highlighting the significance of the web mining technique.

The proper implementation of this decentralized business model within a country is encouraging optimal resource use, lowering energy consumption and increasing long-term economic development. The sharing economy is a disruptive force that addresses the pillars of sustainability.

The research holds importance in addressing the achievement of the SDGs through the sharing economy, necessitating focus from policymakers and scholarly discourse on its merits. The transformative impact of the sharing economy poses questions about its encouragement or regulation, with the potential to disrupt established monopolies and possibly create new ones. Its successful implementation underscores the significance of effective data sharing and governance.

This paper aims to understand the difficulties faced by Latin American oil and gas (O&G) companies in adopting integrated practices aligned with the UN Sustainable Development Goals (SDG) Agenda.

A Delphi study was conducted with 14 experts with extensive knowledge and experience in the O&G sector to collect opinions and investigate sustainable practices in the Latin American context.

A consensus was reached after two rounds, demonstrating a unified view of sustainability experts on the difficulties faced by O&G companies to adopt practices aligned with the SDGs. The difficulties identified through the Delphi method were allocated into five clusters named: “public sector and governments,” “civil society,” “corporate issues,” “technology and innovation” and “financial aspects.” These clusters were used to discuss the main challenges associated with implementing business practices that recognize the SDGs and their achievement as a synergistic reinforcing system rather than an additive structure.

This study provides further insights into the underexplored subject relating to the challenges experienced by Latin American O&G companies in the implementation of the SDGs, adopting the perspective of academic and industry experts in this field. The findings can help professionals in O&G companies implement sustainable practices, policymakers in debates about futures laws and regulations and academic in future research.