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The purpose of this paper is to develop pansystems‐styled traffics, logistics and knowledge rediscovery. The core logoi are the generalized resources//F* and their circulation//C*. The research presents a new outlook to mathematics, physics, traffic, communication, logistics, KD, internet, computer, translation, simulation, information, life‐systems, logic or reasoning, memory or storage, process, transaction, finance, education, inherent, topology, evolution, etc. and then certain mechanism among them and related mutuality can be unveiled.

A flexible combination of philosophy, mathematics and technology is embodied. The paper is an application of pansystems methodology to approach the following topics: pansystems resource, circulation: traffics, logistics and KD; pansystems variational principle and pan‐circulation; pansystems logistics; pansystems network, supply chain and bullwhip effect; pansystems innovation and knowledge rediscovery.

All of the topics concerned are reduced to the actualization of pansystems variational OR and classification‐repetition‐PanOR, which possess a transfield nature.

This paper provides the framework and concretion principles of pansystems research on traffics, logistics, supply chain, bullwhip effect, innovation and related applications, and presents a new world outlook, which leads to some new comprehension to KD and WHF* <world*history*future*>, SEM* <society* economy*management*>.

Using signaling theory, the overarching purpose of this study is to provide an insight into how age-inclusive HR practices (AIHRP) influence older workers' voice behavior through job crafting toward strengths (JCS) and how negative age-based metastereotypes (NABM) moderate these relationships.

Using time-lagged data were obtained from 321 Chinese older workers. PROCESS MACRO and Bootstrapping were used to test theoretical hypotheses.

Our results revealed the positive effects of AIHRP on both JCS and voice behavior, and the positive effect of JCS on voice behavior, as well as the mediating role of JCS in the relationship between AIHRP and voice behavior. Besides, results also found that NABM negatively moderate the effect of AIHRP on voice behavior, and the effect of AIHRP on JCS. Additionally, significant moderated mediation effect indicates that the indirect effect of AIHRP on voice via JCS will be weaker for employees with higher NABM.

First, we take the lead in linking AIHRP and employees' voice behavior. This complements voice literature by identifying an important new factor in motivating older workers' voice behavior. Second, by exploring the mediating role of JCS, we reveal the “black box” of how AIHRP affect older workers' voice behavior. Third, this study responds to the call for more studies exploring the boundary conditions of AIHRP and expands the theoretical research framework of the relationship between AIHRP, JCS and voice, deepens our understanding of the mechanism of voice behavior.

Our findings have several practical implications. First, the leadership personnel throughout the firm should be conscious of the crucial role of AIHRP. Second, managers should provide older workers with opportunities to craft their jobs to use their strengths and achieve a better person-job fit, which will result in a series of positive outcomes. Third, organizations should blur intergenerational boundaries within the organization and provide older workers with mentoring opportunities to motivate their voice.

Our findings have some social implications. Firstly, the results of this study are beneficial in demonstrating to society that older workers still have significant strengths and value. With reasonable methods, older workers can continue to contribute to the development of organizations and society, which in turn is conducive to changing society's perceived bias toward older workers, reducing age discrimination and promoting social harmony. Secondly, this study provides theoretical guidance for organizations and society to manage older workers, which is conducive to alleviating social problems such as youth labor shortage and increased burden of retirement.

This study is innovative as it first explores the influence, mechanism and boundary conditions of AIHRP on older workers' voice behavior, which not only deepens our understanding of older workers voice, but also enriches the research on AIHRP and JCS.

The purpose of this paper is to improve the operation and maintenance intelligence of power systems, and summarize the transmission line robots and their key technologies. High-voltage power cables are important channels for power transmission systems. Their special geographical environment and harsh natural environment can lead to many different faults. At present, such special operations in dangerous and harsh environments are performed manually, which have not only high labor intensity and low work efficiency but also great personal safety risks.

For maintenance works that are far away from the tower, power outages are required. With the increasing evaluation of transmission quality and operational safety, and the urgent need for automation and operation of modern power systems, the contradiction between this manual operation and modern high-quality power transmission has become increasingly prominent. An effective method to replace the manual maintenance work is to use the mobile robot to carry the operation manipulator and its end tool, that is, the live maintenance robot.

Some achievements have been made in the key technologies of live maintenance robots, the work to be done to meet the basic requirements of complex and changeable line environment and practical application. Based on the existing research results of live overhaul robot, the follow-up research will focus on the practical application needs and the frontier of scientific and technological development, and truly realize the human–machine integration between live overhaul robot–human working environment. Only in this way can the robot better serve the operation and maintenance of the power system.

This paper reviews the system platform, operation function, structural characteristics and key technologies involved in the power cable robot, and the combination of live maintenance robots and modern high-tech such as big data and cloud computing is also given, and finally, the future development direction of the special operation robot is pointed out.