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This paper aims to present a human-in-the-loop natural teaching paradigm based on scene-motion cross-modal perception, which facilitates the manipulation intelligence and robot teleoperation.

The proposed natural teaching paradigm is used to telemanipulate a life-size humanoid robot in response to a complicated working scenario. First, a vision sensor is used to project mission scenes onto virtual reality glasses for human-in-the-loop reactions. Second, motion capture system is established to retarget eye-body synergic movements to a skeletal model. Third, real-time data transfer is realized through publish-subscribe messaging mechanism in robot operating system. Next, joint angles are computed through a fast mapping algorithm and sent to a slave controller through a serial port. Finally, visualization terminals render it convenient to make comparisons between two motion systems.

Experimentation in various industrial mission scenes, such as approaching flanges, shows the numerous advantages brought by natural teaching, including being real-time, high accuracy, repeatability and dexterity.

The proposed paradigm realizes the natural cross-modal combination of perception information and enhances the working capacity and flexibility of industrial robots, paving a new way for effective robot teaching and autonomous learning.

The purpose of this paper is to understand the distributional impact of house price increases on consumption in the context of the energy transition.

This study draws from two micro cross-sectional datasets, the English Housing Survey (EHS) and the Living Costs and Food Survey (LCFS) to study the Marginal Propensity to Consume (MPC) out of changes in house prices. By employing pseudo-panel regressions, the paper examines the impact of house price changes on consumption among diverse household types.

This paper finds varying consumption responses to house price changes across age and tenure groups. Older homeowners tend to increase consumption when house prices rise. In contrast, middle-aged individuals, often renters or mortgage holders, reduce consumption in response to price increases. The youngest age group also experiences increased consumption but to a lesser degree than the oldest group. Energy-efficient homes are related to lower consumption across all tenure levels. However, when interacted with house prices and age, the estimates are positive, pointing to an unequal accrual of property premiums depending on housing market positions.

The main limitations stem from data constraints. First, using a pseudo-panel approach hinders control for unobservable selection bias. Additionally, while robust under cross-validation and specifications tests, the energy efficiency variable imputation results in a low number of energy-efficient homes. Due to heterogeneous responses to rising house prices, this paper contends that an energy transition model that subsidises homeowners’ renovation is likely to produce a negative impact on consumption among younger and middle-aged households.

This paper contributes to the MPC literature by incorporating energy efficiency as a key variable. It draws from recent data to obtain new estimates. By highlighting shifts in consumption patterns the paper contributes to a well-established body of literature with renewed policy relevance regarding housing retrofit.

The aim of this study is to examine the existing literature on service robots in order to identify prominent themes, assess the present state of service robotics research and highlight the contributions of seminal publications in the business, management and hospitality domain.

This study analysed 332 Scopus papers from 1985 to 2022 using bibliometric techniques like citation and co-citation analysis.

The study findings highlighted that there has been a consistent rise in publications related to service robots. The paper identifies three significant themes in the service robot literature: adoption of service robots in the context of customer service, anthropomorphism and integration of artificial intelligence in robotic service. Furthermore, this study highlights prominent authors, journals, institutions and countries associated with research on service robots and discusses the future research opportunities in this domain.

This study contributes to the service robots’ literature in the hospitality context by compilation of various reference materials using a comprehensive bibliometric analysis. Previous studies do not point out crucial themes in this area, nor do they provide an overview of prominent journals, institutions, authors and trends in this field. Therefore, this study attempts to fill the lacunae.

The purpose of this study is to generate knowledge about the use of smart campus tools to improve the effective and efficient use of campuses. Many universities are facing a challenge in attuning their accommodation to organisational demand. How can universities invest their resources as effectively as possible and not in space that will be poorly utilized? The hypothesis of this paper is that by using smart campus tools, this problem can be solved.

To answer the research question, previous survey at 13 Dutch universities was updated and compared with a survey of various universities and other organizations. The survey consisted of interviews with structured and semi-structured questions, which resulted in a unified output for 27 cases.

Based on the output of the cases, the development of smart campus tools at Dutch universities was compared to that of international universities and other organizations. Furthermore, the data collection led to insights regarding the reasons for initiating smart campus tools, user and management information, costs and benefits and foreseen developments.

Although the use of smart tools in practice has gained significant momentum in the past few years, research on the subject is still very technology-oriented and not well-connected to facility management and real estate management. This paper provides an overview of the ways in which universities and organizations are currently supporting their users, improving the use of their buildings and reducing their energy footprint through the use of smart tools.

The purpose of this paper is to present the innovation management program (IMP) (FAZ Program) and analyze its results according to the public policy goals that support it (Pró-Inova) suggesting improvements.

Intensive-direct-observation method in 43 companies; systematic data gathering and analysis (172 meeting documents); and innovation maturity diagnostics in 30 companies between August 2013 and May 2016.

The FAZ Program success rate according to the Pró-Inova goals achieved 81 percent. The percentage of completion of FAZ activities decreases during its implementation from 100 percent (strategic module) to 74 percent (management module) and ending at 46 percent (project module). The maturity for innovation of these committees/teams is decisive for those percentages. Companies whose maturity for innovation of the strategic committee and the organizational team are above average or excellent have, respectively, 1.8 and 1.7 times greater probability of implementing the program successfully.

The FAZ Program represents only 4 percent of the programs supported by Pró-Inova. The innovative products, processes and businesses produced by the FAZ Program implementation are not measured. These innovations usually happen several years after an innovative management models implementation.

The maturity for innovation diagnosis is useful both to evaluate the company’s innovation capacity and to predict its chances of implementing the program successfully. Adjusting the structure of the model (e.g. PDCA cycle for the organizational module) and improving the program’s implementation (e.g. ensure management module resources and maturity for innovation capacity) can increase the program’s success rate.

Previous research works on IMPs supported by Pro-Inova focus on describing their methodology or benefits. The results allow answering what and how one of these programs offers in a return to the public innovation support received.

Both high reliability theory (HRT) and “new school” supply chain resilience (SCR) promote a multi-layered, adaptable, transformational, and holistic perspective on organizing and managing. The authors explore whether, and if so how, HRT offer fresh perspectives on the SCR challenges experienced during COVID-19 and on organizing for future resilience.

Addressing SCR at the interorganizational network level, and blending theory synthesis and case study research, the authors assess if and how HRN constructs and practices can guide analysis of SCR in dynamic, complex networks, and help shape development pathways towards organizing for resilience. Findings draw on thick description and iterative coding of data (58 interviews and 200+ documents) on the buyer network responsible for managing the supply of critical medical products in the Netherlands.

HRT highlights the interconnectedness of challenges encountered during COVID-19 and helps design future resilience through three lessons. Organizing for SCR requires (1) both anticipation and containment strategies, (2) stable working relationships characterized by trust, and (3) a clear basis of command underpinned by experience-based legitimacy.

Distinctive from SCR, which views crises as “black swans”, HRT organizes around everyday consideration of the risk of failure. Taking a buyer network perspective, the authors move beyond the buyer-supplier network focus in SCR. The authors contend that emphasis on measures such as supplier base management, stockpiling, and domestic production are essential but not sufficient. Rather, HRT implies that deep structural and social ties within the buyer network should also be emphasized.

Children suffering from cancer or cardiovascular disease, who need extended periods of treatment in hospitals, are subjected to multiple hardships apart from the physical implications, for example, experienced isolation and disrupted social and academic development. This has negative effects long after the child's recovery from the illness. The purpose of this paper is to examine the non-medical needs of children suffering from a long-term illness, as well as research the field of artificial intelligence (AI) – more specifically, the use of socially intelligent agents (SIAs) – in order to study how technology can enhance children's interaction, participation and quality of life.

Interviews were performed with experts in three fields: housing manager for hospitalized children, a professor in computing science and researcher in AI, and an engineer and developer at a tech company.

It is important for children to be able to take control of the narrative by using an SIA to support the documentation of their period of illness, for example. This could serve as a way of processing emotions, documenting educational development or keeping a reference for later in life. The findings also show that the societal benefits of AI include automating mundane tasks and recognizing patterns.

The originality of this study concerns the holistic approach of increasing the knowledge and understanding of these children's specific needs and challenges, particularly regarding their participation and interaction with teachers and friends at school, using an SIA.

This study aims to analyse the political connections of Portuguese companies through the members of the board of directors, exploring how these connections influence, in particular, the composition and characteristics of the boards.

The research used a strategy based on analysing the financial statements and curriculum vitae of the directors of Portuguese companies listed on Euronext Lisbon from 2014 to 2019. The political connections of board members were examined, considering the variables identified in the existing literature.

The results indicate that companies with political connections maintain these relationships for long periods and have a greater number of members on the board of directors compared to companies without such connections. Directors with political experience tend to occupy non-executive positions, suggesting that companies may value political contacts more than the management skills of these directors. It was also found that there are politically connected directors who belong to multiple boards and that women appointed to the board are less likely to have a political background, reflecting male dominance in Portuguese politics.

The main limitations of this study include the small number of listed companies in the sample, which may affect the statistical robustness of the results, as well as the use of secondary sources, which may not capture all relevant policy linkages. In addition, the results are specific to the Portuguese context and may not be generalisable to other countries or other regions of the world.

This study contributes to the understanding of political connections in Portuguese companies, offering valuable insights into how these connections influence board composition and can impact corporate strategy and governance. The findings of this study can be especially useful for business leaders looking to optimise the formation of their boards of directors.

The purpose of this research is to highlight the impact of integrative leadership behaviors on network performance in local government networks.

The data were retrieved from a survey conducted on 362 local government network leaders in Italy. Their leadership behaviors were compared with the level of network performance anonymously self-reported.

The findings show that high frequency in the usage of a specific category of behavior does not always lead to high performance in local government networks. Moreover, leadership behaviors leading to highly performing networks are not always engaged most frequently by networks' leaders.

This research gives an empirical contribution to a neglected topic: network leadership. Moreover, the authors attempt to highlight how it is able to influence network performance.

The purpose of this study is to examine the influence of characteristics of the institutional environment on the disclosure of corporate social responsibility (CSR).

This is a quantitative and descriptive research. The dependent variables used were environmental dimension (ED) and social dimension (SD) that together compose the corporate social performance (CSP). The independent variables that will be used are the characteristics of the institutional environments of Brazil and the UK. Thus, for this end, variables of the national business system of both countries will be used: corruption transparency, access to credit by countries, quality of the education system and labor relations. After their collection, the data were submitted to descriptive and inferential statistics and hierarchical regression.

Data show that UK companies make more disclosure in CSR than Brazilian companies. Through linear regression, it can be seen that the institutional environment affects disclosure in CSR. In the UK, a country with better educational, labor, political and financial indicators than Brazil, it presented better CSR practices. The findings reveal that the better an institutional environment, the more firms act in CSR. The findings of the research confirm the premise of institutional theory: different institutional fields can modify business performance.

The study analyzed only the disclosure practices of companies in the public sector. Thus, the results should be carefully analyzed, without generalizations for all industry sectors. Therefore, it is suggested that future research looks at other industry sectors as well as other institutional contexts, i.e. other countries.

Multinational companies may have different CSR practices according to the institutional environment in which they operate. For example, companies in developed countries, such as the UK, have greater stakeholder pressure. Given this, managers must adapt their environmental strategies according to the institutional environment in which they operate.

This research contributes to CSR studies in various institutional contexts. There is a consensus in the literature that institutional environments affect firms' CSR practices. However, few empirical studies show results between the national business system and CSR. Thus, the present study intends to fill this research gap.