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Smart home (SH) internet of things can promote home safety, health monitoring and independence of older adults to age-in-place. Despite its commercial growth, low adoption rates of the technology among aging consumers remain a major barrier. The purpose of this study is to examine SH technology ownership of older adults and its causal pathways with demographics, health and functioning, home safety and information communication technology (ICT) use.

A survey on technology-mediated aging-in-place was completed by 447 respondents, 65 years and older. Structural equation modeling was used to underscore the causal pathways among demographics, health, independence and home safety, ICT and home automation technology adoption.

The study found that ICT usability, home security and independence have a significant direct effect on SH ownership. Demographics had no significant direct effect, but its influence was mediated through ICT usability. With home safety as mediator, physical impairment, falls and accidents and independence had a significant association with SH ownership. Similarly, increased social support (mediated through home security) decreased the probability of SH automation ownership.

The findings signify the perceived usefulness of SH automation as theorized in technology acceptance models.

This paper aims to adopt the perspectives of cognition and emotions to investigate whether the interdependent self-construal of consumers in a Chinese collectivist culture, along with empathy and moral identity, evokes direct and indirect responses to corporate cause-related marketing (CRM).

A total of 901 valid questionnaires were retrieved, and PROCESS macro for SPSS was used to test the multiple mediation and serial mediation hypotheses. The structural equation modeling was also used to confirm the results.

The empirical results showed that consumer self-construal exerts a positive influence on consumer responses to corporate CRM through empathy. The results also suggest that CRM events provoke empathetic responses in consumers and trigger their moral identity, which in turn affects their evaluations on CRM corporations and their purchase intentions for CRM goods.

The present study targeted the relatively affordable CRM events in convenience stores to investigate consumer responses; the results may not be applicable to CRM events in other industries. Besides that, as this study is focused on CRM activity, respondents may have more positive evaluation.

Corporations are advised to improve their corporate social responsibility (CSR) communication strategies. These should rely on factual, sincere, easy-to-understand and appropriate communication to trigger moral identity in consumers. Because empathy is regarded as the core of human moral and emotional systems, corporations are advised to associate their charitable events with social emotions to strengthen consumer perceptions, enhance moral identity and promote prosocial behaviors.

This study verified the serial multiple mediating effect of empathy and moral identity in the relationship between consumer self-construal and responses to corporate CRM. Corporations are advised to improve their CSR communication strategies and public expression of moral actions to raise consumer empathy and moral identity, so as to improve consumer responses to CRM.

Knowledge-building (KB) pedagogy is a framework that promotes collective inquiry towards the continual resolution of knowledge problems that are relevant to a community (Bereiter & Scardamalia, 1993). Scardamalia (2002) proposes 12 principles to define KB pedagogy. The aim of this study is to provide a review that analyses the influences of these principles on empirical investigations on KB and the importance of technology in such investigations in order to understand the research trends on this pedagogy. The sample was selected from the most recent products published in the Web of Science database. The content analysis performed showed that researchers focussed mainly on the aspects related to a balanced distribution of knowledge and the improvement of ideas in a KB community. Results of this research suggest the addition of a sixth principle in KB pedagogy, that is, a technological principle. The latter highlights that KB is mediated by technology, which in turn facilitates communicating and sharing ideas within a community.

This paper aims to solve the problem of uncertain position and attitude between unstructured terrain robot and grasped target and insufficient control accuracy in extreme environment, a grasping mechanism based on attraction domain relationship is proposed, which can realize autonomous positioning, capturing and grasping of robot under low control accuracy.

The grasping mechanism was designed, taking inspiration from fishing behavior this mechanism introduces attraction domains and flexible-elastic structures through the active and passive ends to achieve automatic positioning and capture. After the capture is completed, the grasping mechanism connects the active end and the passive end, simultaneously relying on the gravity of the target object to achieve locking and release between the robot and the target object. This paper adopts theoretical, simulation and experimental verification methods to conduct theoretical and simulation analysis on the autonomous positioning and grasping process of the mechanism, and produces grasping experimental prototypes with different positions and postures.

The experiment shows that the gripping mechanism designed in this paper can achieve automatic positioning capture and gripping of large deviation situations under low control accuracy, with a displacement deviation of up to 10 mm (about 1/6 diameter of the end of the mechanism) and an angle deviation of up to 3°. The scientific research task in the extremely high altitude environment has finally been successfully accomplished.

Inspired by fishing behavior, this paper proposes a positioning, capturing and grasping mechanism. The attraction area built with permanent magnets, coupled with the flexible connection, enables precise capture under low control, while the grasping mechanism can also rely on gravity to self-lock and release.

The purpose of this paper is to examine corporate strategic effects on hotel unit performance. Taking a hotel owner's perspective, the relationship between four types of the owner's corporate level strategies and the hotel property financial performance are examined.

This study is built on a secondary data set provided by Smith Travel Research. A total of 2,012 hotels across the USA were analyzed for the period between 2003‐2005.

The findings support the existence of corporate effects in the US lodging industry. It is revealed that a hotel owner's corporate strategies do influence hotel property level financial performance. Specifically, a hotel owner's expertise in implementing superior strategies regarding segment, brand, operator, and location (i.e. state) are critical to hotel unit financial performance.

The main limitations of this study include the limited number of years with available data, lack of knowledge on the names of hotel owners, brands and operators, and the performance measures focusing only operating but not value/return measures.

This research shows that a hotel owner can have significant influence on the operating performance of its hotel properties by implementing strategies regarding its properties' locations, segments, brand affiliations and operators. Specifically, brand affiliation has shown a consistently larger impact on both revenue and profit than other corporate strategies, and consequently should receive particular attention from the owner to carefully assess the brand's potential contribution before engaging in a franchise agreement.

This research expands the strategy research in the hospitality field by linking two key strategy constructs – corporate effects and corporate strategy – together and by revealing their collective influence on hotel performance.

In view of the unknown environmental parameters and uncertain interference during gripping by the manipulator, it is difficult to obtain an effective gripping force with the traditional impedance control method. To avoid this dilemma, the purpose of this study is to propose an adaptive control strategy based on an adaptive neural network and a PID search optimization algorithm for unknown environments.

The method is based on a variable impedance model, and a new impedance model is established using a radial basis function (RBF) neural network to estimate unknown parameters of the impedance model. The approximation errors of the adaptive neural network and the uncertain disturbance are effectively suppressed by designing the adaptive rate. In the meantime, auxiliary variables are constructed for Lyapunov stability analysis and adaptive controller design, and PSA is used to ensure the stability of the adaptive impedance control system. Based on the Lyapunov stability criterion, the adaptive im-pedance control system is proved to have progressive tracking convergence property.

Through comparative simulations and experiments, the superiority of the proposed adaptive control strategy in position and force tracking has been verified. For objects with low flexibility and light-weight (such as a coke, a banana and a nectarine), this control method demonstrates errors of less than 10%.

This paper uses RBF neural networks to estimate unknown parameters of the impedance model in real-time, enhancing system adaptability. Neural network weights are updated online to suppress errors and disturbances. Auxiliary variables are designed for Lyapunov stability analysis. The PSA algorithm is used to adjust controller parameters in real-time. Additionally, comparative simulations and experi-ments are designed to analyze and validate the performance of controller.

This paper aims to investigate the following issues: the mechanisms through which different types of top management team’s social capital influence the innovation quality of high-tech firms, and the moderating effect of organizational knowledge utilization on the relationship between top management team’s social capital and innovation quality in high-tech firms.

This study categorizes top management team’s social capital into political, business and academic dimensions, investigating their impact on innovation quality in high-tech firms. Furthermore, a research model is developed with organizational knowledge utilization as the moderating variable. Data from Chinese high-tech firms between 2010 and 2019 are collected as samples for analysis.

The innovation quality of high-tech firms shows an inverted U-shaped trend as the top management team’s political capital and business capital increase. The top management team’s academic capital has a significantly positive correlation with the innovation quality of high-tech firms. Moreover, organizational knowledge utilization plays a significant moderating role in the relationship between the top management team’s social capital and innovation quality in high-tech firms.

This study explores the relationship among different dimensions of top management team’s social capital, innovation quality and organizational knowledge utilization. It holds significant theoretical value in enriching and refining the interactions between top management team’s social capital, knowledge management theory and innovation management theory. In addition, it offers important practical implications for firms to rationally approach top management team’s social capital, emphasize top management team configuration management and establish a comprehensive and efficient organizational knowledge utilization mechanism.

The purpose of this paper is to design a climbing robot connected by a connecting rod mechanism to achieve multi-functional tasks such as obstacles crossing and climbing of power transmission towers.

A connecting rod type gripper has been designed to achieve stable grasping of angle steel. Before grasping, use coordination between structures to achieve stable docking and grasping. By using the alternating movements of two claws and the middle climbing mechanism, the climbing and obstacle crossing of the angle steel were achieved.

Through a simple linkage mechanism, a climbing robot has been designed, greatly reducing the overall mass of the robot. It can also carry a load of 1 kg, and the climbing mechanism can perform stable climbing. The maximum step distance of the climbing robot is 543 mm, which can achieve the crossing of angle steel obstacles.

A transmission tower climbing mechanism was proposed by analyzing the working environment. Through the locking ability of the screw nut, stable clamping of the angle steel is achieved, and a pitch mechanism is designed to adjust the posture of the hand claw.

This paper aims to analyze the monitoring role of board and product market competition in relation to firm performance. Further, this paper analyzes the moderating role of product market competition in influencing the board monitoring and firm value relationship in the context of an emerging economy, India.

A large sample of 3,854 firm-year observations has been used over a period of 10 years (2007-2016). Industry and year-fixed effect regression methodology has been used to test the hypothesized relationships.

The empirical findings indicate that board monitoring adds negatively to the firm value. The results also indicate that product market competition bears an insignificant moderating effect on the effectiveness of board monitoring in India. However, a more in-depth analysis reveals that product market competition complements the weak board monitoring of business-group firms. Further, the effectiveness of the board monitoring (which is relatively stronger in business-group firms) is weakened by the increased level of product market competition for stand-alone firms.

A significant negative effect of board independence on the firm value raises the effectiveness of various policies advocating the board independence to strengthen the governance structure of the firms. The findings relating to the moderating role of product market competition for the business-group and stand-alone firms are helpful in understanding the governance behavior of the firms in relation to the external product market competition.

External governance mechanisms such as the market for corporate control and product market competition have been described as significant corporate governance mechanisms. However, the empirical efficacy of these governance mechanisms has not been explored in a greater detail in the context of the emerging markets. This study aims to address this research gap.

Efficiency and productivity has always being a key issue in economic science. The analysis of the impact of research and development (R&D) has been extensively studied in industries and countries of more or less aggregated level. This chapter aims to investigate the impact of corporate R&D in performance of low-tech industries, medium-tech, and high-tech in OECD countries.

This chapter aims to answer the questions: Is the impact of R&D significant for all types of industries? If so, what are the differences and the magnitude of these effects in each of these types of industries?

To this end, an unbalanced data set from 2000 to 2011 was collected for the main countries of Europe and the United States concerning low-, medium-, and high-tech to analyze the impact of the magnitude of corporate R&D and capital accumulation on productivity of these industries. The productivity of industries was measured by stochastic parametric frontier functions, in order to measure the efficiency of R&D and accumulation of capital on labor productivity.

The main results highlight the impact of corporate R&D on productivity of high-tech industries, but for other industries those relations are not clear. However, capital accumulation became crucial on low technology to improve their performance. These results, although needing to include a more extensive data set of industries across countries, refer the need for policy and decision makers to allocate public funds for R&D in high-tech industries, while the investment in capital seems crucial, particularly in low-tech industries to improve the productivity.