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New generation of construction workers (NGCWs) who were born in the 1980s and later have gradually become the main workforce of Chinese construction industry. They may behave differently when dealing with knowledge-related activities due to divergent characteristics caused by generational discrepancy. To provide a theoretical foundation for construction companies and safety managers to improve safety management, this research explores the factors and paths impacting the NGCWs' ability to share their safety knowledge.

Based on literature review, main factors that influence the safety knowledge sharing of the NGCWs were identified. Decision-Making Trial and Evaluation Laboratory and Interpretive Structural Modeling were applied to identify the hierarchical and contextual relations among the factors influencing the safety knowledge sharing of the NGCWs.

The results showed that sharing atmosphere ranked first in centrality and had a high degree of influence and being influenced, indicating itself an extremely important influencing factor of safety knowledge sharing of NGCWs. Six root influencing factors were identified, including individual characteristics, work pressure, sharing platform, incentive mechanism, leadership support and safety management system.

The number of influencing factors of safety knowledge sharing of the NGCWs identified in this study is limited, and the data obtained by the expert scoring method is subjective. In future studies, the model should be further developed and validated by incorporating experts from different fields to improve its integrity and applicability.

The influencing factors identified in this paper can provide a basis for construction companies and safety managers to improve productivity and safety management by taking relevant measures to promote safety knowledge sharing. The research contributes to the understanding knowledge management in the context of the emerging market. It helps to answer the question of how the market can maintain the economic growth success through effective knowledge management.

This paper investigates the influencing factors of NGCWs' safety knowledge sharing from the perspective of intergenerational differences, and the 13 influencing factor index system established expands the scope of research on factors influencing safety knowledge sharing among construction workers and fills the gap in safety knowledge sharing research on young construction workers. Furthermore, this paper establishes a multi-layer recursive structure model to clarify the influence path of the influencing factors and contributes to the understanding of safety knowledge sharing mechanism.

Library Hi Tech is one of the most influential journals that publish leading research in library and information science (LIS). The present study aims to understand the scholarly communication in Library Hi Tech by profiling its historic footprint, emerging trends and knowledge diffusion.

A total of 3,131 bibliographic records between 1995 and 2018 were collected from the Web of Science. Text mining, graph analysis and data visualization were used to analyze subject category assignment, domain-level citation trends, co-occurrence of keywords, keyword bursts, networks of document co-citation and landmark articles.

Findings indicated that published research in the journal was largely influenced by the psychology, education and social domain as a unidisciplinary discipline. Knowledge of the journal has been disseminated into multiple domains such as LIS, computer science and education. Dominant thematic concentrations were also identified: (1) library services in academic libraries and related to digital libraries, (2) adoption of new information technologies and (3) information-seeking behavior in these contexts. Additionally, the journal has exhibited an increased research emphasis on mixed-method user-centered studies and investigations into libraries' use of new media.

This study provides a promising approach to understand scientific trends and the intellectual growth of journals. It also helps Library Hi Tech to become more self-explanatory with a detailed bibliometric profile and to identify future directions in editorship and readership. Finally, researchers in the community can better position their studies within the emerging trends and current challenges of the journal.

Self-organization has been regarded as a tool for the synthesis of well-defined organic nanostructures. Heterocyclic annulated perylene diimides are the subjects of considerable current research studies. The purpose of this study is to reveal the photophysical property, electronic structure and solid-state packing of O-heterocyclic annulated perylene diimide.

Asymmetrically five-membered O-heterocyclic annulated perylene diimide (OAPDI) was synthesized. Structure and purity of OAPDI were confirmed by ¹H NMR, ¹³C NMR, IR and mass spectral techniques. Photophysical properties of OAPDI were studied using UV–vis absorption and fluorescence in both solution (CHCl₃) and solid state. Scanning electron microscopic and atomic force microscopy were used to characterize the surface morphology of OAPDI. Conducting properties of the OAPDI were evaluated by current–voltage measurements. The compounds geometries were also optimized at 6-31G* using density functional theory.

The UV–vis absorption and fluorescence spectra of OAPDI in solution are blue-shifted in comparison with that of unsubstituted perylene bisimide. Solid-state UV–vis measurements of OAPDI indicate that it is capable of forming highly ordered structure. The non-covalent interactions, electrostatic attraction and p-p stacking moieties of OAPDI synergistically guide assembly and domain growth while maintaining the interpenetrating network of nanofibers in the solid film. The OAPDI gave higher current at −2.0 V (0.68 µA) and 4.0 V (1.0 µA).

This study will be helpful for exploring feasible routes to acquire soluble perylene diimides and well-defined organic nanostructures. Furthermore, such molecular tailoring approach would be helpful for designing and synthesizing novel organic semiconductive materials with excellent charge-transporting and light-emitting capabilities.

Drawing upon social comparison theory, this paper explores the (in)congruence effect of leader and follower overqualification on leader's downward envy, which in turn leads to leader undermining behavior.

Using two-wave, multi-sourced data gathered in China, a polynomial regression was conducted on 301 leader-follower dyads.

Results show asymmetrical incongruence effects, indicating greater leader's downward envy when leader overqualification was lower than follower overqualification. In addition, by increasing downward envy, leader-follower (in)congruence in overqualification has an indirect positive effect on leader undermining behavior.

This study highlights the importance of being conscious of both parties’ overqualification levels to avoid unfavorable outcomes. Meanwhile, training for both parties is crucial, offering a holistic understanding of leader-follower overqualification differences and downward envy, as well as skills to manage “triggers” of leader undermining.

Our study is among the first to examine the effects of overqualification from a leader-follower dyadic congruence perspective. It suggests that leader's downward envy and undermining behaviors toward followers are influenced by both follower and leader overqualification.

This study aims to investigate the antecedents of design crowdsourcing decision-making, the impact of design crowdsourcing on new product performance and the moderating effect of network connectivity.

The sample (n = 104) was collected from a leading social product development website; the fuzzy-set qualitative comparative analysis and two-stage least square methods were used in the investigation.

Three design attribute feature configurations (rational, emotional and kinesthetic value configurations) are conducive to firms’ adoption of design crowdsourcing and there are two configurations in which firms do not adopt design crowdsourcing. Design crowdsourcing influences new product performance positively. Network connectivity has an inverted U-shaped effect on the relationship between design crowdsourcing and new product performance.

These findings not only enrich crowdsourcing and social network studies but also guide crowdsourcing firms to better manage their processes and community members.

The purpose of this paper is to relate to the real-time navigation and tracking of pedestrians in a closed environment. To restrain accumulated error of low-cost microelectromechanical system inertial navigation system and adapt to the real-time navigation of pedestrians at different speeds, the authors proposed an improved inertial navigation system (INS)/pedestrian dead reckoning (PDR)/ultra wideband (UWB) integrated positioning method for indoor foot-mounted pedestrians.

This paper proposes a self-adaptive integrated positioning algorithm that can recognize multi-gait and realize a high accurate pedestrian multi-gait indoor positioning. First, the corresponding gait method is used to detect different gaits of pedestrians at different velocities; second, the INS/PDR/UWB integrated system is used to get the positioning information. Thus, the INS/UWB integrated system is used when the pedestrian moves at normal speed; the PDR/UWB integrated system is used when the pedestrian moves at rapid speed. Finally, the adaptive Kalman filter correction method is adopted to modify system errors and improve the positioning performance of integrated system.

The algorithm presented in this paper improves performance of indoor pedestrian integrated positioning system from three aspects: in the view of different pedestrian gaits at different speeds, the zero velocity detection and stride frequency detection are adopted on the integrated positioning system. Further, the accuracy of inertial positioning systems can be improved; the attitude fusion filter is used to obtain the optimal quaternion and improve the accuracy of INS positioning system and PDR positioning system; because of the errors of adaptive integrated positioning system, the adaptive filter is proposed to correct errors and improve integrated positioning accuracy and stability. The adaptive filtering algorithm can effectively restrain the divergence problem caused by outliers. Compared to the KF algorithm, AKF algorithm can better improve the fault tolerance and precision of integrated positioning system.

The INS/PDR/UWB integrated system is built to track pedestrian position and attitude. Finally, an adaptive Kalman filter is used to improve the accuracy and stability of integrated positioning system.

Based on previous literature on big data analytics (BDA) and supply chain (SC) management, the purpose of this paper is to address the factors determining firms’ intention to adopt BDA in their daily operations. Specifically, this study classifies potential factors into four categories: technological, organizational, environmental factors, and SC characteristics.

Drawing on the innovation diffusion theory, a model consisted of direct technological and organizational factors as well as moderators was proposed. Subsequently, survey data was collected from 210 organizations. Then we used SPSS and SmartPLS to analyze the collected data.

The empirical results revealed that perceived benefits and top management support can significantly influence the adoption intention. And environmental factors, such as competitors’ adoption, government policy, and SC connectivity, can significantly moderate the direct relationships between driving factors and the adoption intention.

Given the fact that big data (BD) usage in logistics and SC management is still in the start-up stage, the interpretations toward BDA might vary from different perspectives, thus causing some ambiguity in understanding the meaning and potential BD has. In addition, we collected data through questionnaires completed by IT managers, whose viewpoint may not fully represent that of an organization.

This paper tests the organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

This research helps top managers assess the benefits of BDA as well as how to adjust their business strategy along the changes of environment and SC maturity.

This paper contributes to the literature of organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

Drawing upon affective events theory (AET), this study aims to explore the relationship between tourists’ perceived deception and moral emotions, dissatisfaction, revisit intention and negative word of mouth.

Online data from Questionnaire Star were used to examine the proposed research model. A total of 437 valid questionnaires were collected.

The results suggest that tourist scams as “affective events” could trigger tourists’ moral emotions and dissatisfaction, thereby decreasing their revisit intention and generating negative word of mouth. Additionally, moral emotions were found to act as a mediator between perceived deception and dissatisfaction.

The insights uncovered in this study reveal the mechanisms behind tourists’ reactions to scams and provide implications for tourism destinations, suggesting ways to alleviate the adverse impact of tourist scams.

To the best of the authors’ knowledge, this is the very first study to investigate tourists’ reactions to tourist scams.

旅游欺诈, 道德情感和游后行为：对道德情感, 不满, 重游意向和负面口碑的影响

研究基于情感事件理论 (AET), 旨在探究游客的感知欺骗与道德情绪、不满、重游意向和负面口碑之间的关系。

通过问卷星收集的线上数据对研究模型进行了检验。共回收有效问卷437份。

本研究的结果表明, 作为“情感事件”的旅游欺诈可能会引发游客的道德情绪和不满, 从而降低他们的重游意向, 并产生负面口碑。此外, 研究发现道德情绪在感知欺骗和不满之间发挥了中介作用。

本研究揭示了游客对旅游欺诈的反应及其内在机制, 并提出了降低旅游欺诈负面影响的方法, 为旅游目的地提供了启示。

这是探索游客如何应对旅游欺诈事件的首批研究之一。

Estafas turísticas, emociones morales y comportamientos: impactos en las emociones morales, la insatisfacción, la intención de volver a visitar y el boca a boca negativo

Resumen

Basándose en la teoría de eventos afectivos (AET), este estudio buscó explorar la relación entre el engaño percibido por los turistas y las emociones morales, la insatisfacción, la intención de volver a visitar y el boca a boca negativo.

Para probar el modelo de investigación propuesto se utilizaron datos en línea procedentes de un cuestionario. Se recogieron un total de 437 cuestionarios válidos.

Los resultados sugieren que las estafas turísticas como “eventos afectivos” podrían desencadenar emociones morales e insatisfacción en los turistas, disminuyendo así su intención de volver a visitar y generando un boca a boca negativo. Además, se encontró que las emociones morales actúan como mediadoras entre el engaño percibido y la insatisfacción.

Los conocimientos descubiertos en este estudio revelan los mecanismos detrás de las reacciones de los turistas a las estafas y brindan implicaciones para los destinos turísticos, sugiriendo formas de mitigar el impacto adverso de las estafas turísticas.

Este es el primer estudio que examina las reacciones de los turistas a las estafas turísticas.

The purpose of this study is to examine the relationship between the corporate social responsibility (CSR) performance of job-hopping executives at their former and subsequent firms.

We conduct regression analyses using a sample of firms listed on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2020 to examine whether CSR performance is similar from one firm to the next as executives switch jobs.

We find a positive relationship between the CSR performance of former and subsequent firms under job-hopping executives. This relationship is the strongest in the year of the job switch; it weakens in the second year and eventually disappears in the third year. In addition, we show that this relationship benefits different CSR stakeholder groups and is contingent on executive and subsequent firm attributes and job-hopping characteristics. Furthermore, we demonstrate that firms that hire a new chief executive officer from a firm with a strong track record in CSR, the new firm experiences a significant surge in CSR performance compared with firms that do not experience such a shock.

This study has implications for executive hiring decisions.

This study extends the understanding of CSR determinants through the lens of inter-organisational ties associated with job-hopping executives.

The aim of the present paper was to investigate the inhibition performance of the OF and/or IM on L360 steel in CO₂/H₂S environments. The pipeline steel surface usually has been pre-treated before using in the oil/gas field, such as by passivation, blackening, and phosphiding. The effectiveness of inhibition can vary because there are many differences between the metal matrix and the treated film.

Imidazoline (IM) was synthesized by using oleic acid and diethylenetriamine, and its composition was verified using Fourier transform infrared spectroscopy. The oxide film (OF) covering a sample of L360 steel was characterized using X-ray diffraction, and its surface morphology was observed using scanning electron microscope. Electrochemical impedance spectroscopy measurements were conducted to study the inhibition performance of IM- and/or OF-covered L360 steel in the CO₂/H₂S environments.

The results show that IM and OF can prevent corrosion on L360 steel in CO₂/H₂S environments, and the synergistic inhibition effect of IM and OF was very evident. A possible model is proposed to explain the synergistic inhibition effect in the CO₂/H₂S environments of IM and OF on L360 steel.

Few reports have concerned the effect of the OF on the inhibitor’s performance, especially in CO₂/H₂S systems. The aim of the present study was to investigate the inhibition performance of the OF and/or IM on L360 steel in CO₂/H₂S environments. A model is proposed to explain the synergistic inhibition effect mechanism between IM and OF.