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Nanosensors have a wide range of applications because of their high sensitivity, selectivity and specificity. In the past decade, extensive and pervasive research related to nanosensors has led to significant progress in diverse fields, such as biomedicine, environmental monitoring and industrial process control. This led to better and more efficient detection and monitoring of physical and chemical properties at better resolution, opening new horizons in the development of novel technologies and applications for improved human health, environment protection, enhanced industrial processes, etc.

In this paper, the authors discuss the application of citation network analysis in the field of nanosensor research and development. Cluster analysis was carried out using papers published in the field of nanomaterial-based sensor research, and an in-depth analysis was carried out to identify significant clusters. The purpose of this study is to provide researchers to identify a pathway to the emerging areas in the field of nanosensor research. The authors have illustrated the knowledge base, knowledge domain and knowledge progression of nanosensor research using the citation analysis based on 3,636 Science Citation Index papers published during the period 2011 to 2021.

Among these papers, the bibliographic study identified 809 significant research publications, 11 clusters, 556 research sector keywords, 1,296 main authors, 139 referenced authors, 63 nations, 206 organizations and 42 journals. The authors have identified single quantum dot (QD)-based nanosensor for biological applications, carbon dot-based nanosensors, self-powered triboelectric nanogenerator-based nanosensor and genetically encoded nanosensor as the significant research hotspots that came to the fore in recent years. The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

This is a novel bibliometric analysis in the area of “nanomaterial based sensor,” which is carried out in CiteSpace software.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.

This study explored the mediating effect of political embeddedness on the relationship between gender and performance of private enterprises in the emerging economy of China. Political embeddedness is examined in terms of personal characteristics of owners and their firm.

Secondary data were collected from the Chinese Private Enterprises Survey for the years 2002, 2006, 2014 and 2016 using responses to identical questions. Tobit models were implemented to examine hypotheses related to the gender gap. A bootstrapping approach was applied to examine hypotheses related to mediation through political embeddedness.

The gender effect on enterprise performance was found to be partially mediated by political embeddedness at the personal level and even more strongly by political embeddedness at the firm level, which is beyond the well-known mediation effect of bank loans.

The Chinese sample, in which guanxi plays a significant role with respect to women-led firms, may limit the generalizability of the findings to other emerging economies.

Given the mediating effects on firm performance of political embeddedness at the personal and firm levels, women business owners in China should pursue political involvement, possibly with the support of policymakers and mentors.

The relationship between businesswomen and political embeddedness is underexplored. This study innovates by applying the gender lens to the notion of political embeddedness and extending the construct of personal political embeddedness to the firm level.

This study conducts a comparative study on the performance of reliability assessment methods based on adaptive surrogate models to accurately assess the reliability of automobile components, which is critical to the safe operation of vehicles.

In this study, different adaptive learning strategies and surrogate models are combined to study their performance in reliability assessment of automobile components.

By comparing the reliability evaluation problems of four automobile components, the Kriging model and Polynomial Chaos-Kriging (PCK) have better robustness. Considering the trade-off between accuracy and efficiency, PCK is optimal. The Constrained Min-Max (CMM) learning function only depends on sample information, so it is suitable for most surrogate models. In the four calculation examples, the performance of the combination of CMM and PCK is relatively good. Thus, it is recommended for reliability evaluation problems of automobile components.

Although a lot of research has been conducted on adaptive surrogate-model-based reliability evaluation method, there are still relatively few studies on the comprehensive application of this method to the reliability evaluation of automobile component. In this study, different adaptive learning strategies and surrogate models are combined to study their performance in reliability assessment of automobile components. Specially, a superior surrogate-model-based reliability evaluation method combination is illustrated in this study, which is instructive for adaptive surrogate-model-based reliability analysis in the reliability evaluation problem of automobile components.

In the realm of disaster risk reduction (DRR) efforts and disaster resilience discipline globally, the impacts of disasters at the family level – especially in terms of interpersonal relationships – remain largely understudied. This paper aims to explore the impacts of postdisaster relocation on the internal dynamics of families in Southville 7 in Calauan, Laguna, Philippines during the aftermath of the 2009 typhoon Ketsana, and endeavors to inform institutional policies to strengthen families’ disaster resilience.

Purposive sampling was applied in choosing the 20 participating families for the case study of Site III, Southville 7 – a relocation site housing more than 3,000 displaced families from Metro Manila during typhoon Ketsana. Data gathering methods such as semistructured interviews and personal observations were used during fieldwork, the findings of which were coded to reveal the study’s analytical themes.

Research findings reveal that the impacts of postdisaster relocation to family dynamics could be classified into seven broad categories: family composition and structure; members’ roles; parenting; parents’ marital relationship; familial relationship; family member’s personalities; and death and disabilities. The interplay between these impacts results in either stronger overall family cohesion or further relational ruptures.

By spotlighting the impacts of disasters on overall family dynamics in the context of postdisaster relocation, this study seeks to elevate the place of the family in the DRR and disaster resilience discourse.

Augmented reality (AR) is transforming the business and interactive marketing landscape. This research aims to investigate consumers' degree of involvement and if a feeling of immersion and presence influences AR shopping satisfaction, comparing high- and low-immersive AR experiences.

This paper uses a quantitative approach. Two studies were carried out: a high-immersive AR experiment with 173 participants and a low-immersive AR experience with 222 participants. Findings were analyzed using partial least square structural equation modeling with SmartPLS.

Results indicate the antecedents of immersion and presence differ when it comes to different immersive AR levels. In a high-immersive AR experience, flow, information seeking and novelty are attributes related to immersion, while enjoyment and personalization are related to presence. Contrastingly, in a low-immersive AR experience, only flow is related to immersion, while information seeking, novelty and personalization are related to presence. These results highlight the role of immersion and presence as mediators for AR shopping satisfaction experience.

This study's originality lies in the use of a rival model for analysis. Findings suggest a contingent perspective of AR experience, depending on high- or low-immersion experience, so companies must pay attention for how to measure AR experiences to increase involvement and satisfaction.

This study examines whether real earnings management (REM) choices are connected with the ownership structure of politically connected businesses (PCBs). The authors also discuss the moderating role of audit quality (AQ) and family control (FC) on the relationship between PCBs and REM.

The authors' study sample comprises firms registered on the Pakistan Stock Exchange (PSE). The sample examines the financial data of the firms that remained listed for the last eight years, i.e. from 2011 to 2018, excluding nonfinance companies and firms with incomplete data. The authors test the hypothesis using feasible generalized least squares (FGLS) regression methods.

The authors find that PCBs show a high level of involvement in income-decreasing REM compared to nonPCBs due to lower litigation risk in REM. However, the authors' results also show that two monitoring mechanisms, AQ and FC, curb the opportunistic behavior of PCBs and reduce the intensity of REM in PCBs.

The findings of the study are beneficial in decision-making for both internal and external stakeholders, such as creditors, shareholders and competitors. In countries like Pakistan, which fall in the category of emerging economies, PCBs show involvement in income-decreasing REM to change the accurate picture of financial information to attain personal goals, and investors in such countries have a low level of knowledge about earnings management strategies; thus, this study offers detailed knowledge and information to investors and shareholders about political connections and REM. This plays a crucial role for regulators in stiffening the rules and regulations to further assist in more secure financial reporting.

This study contributes to the literature by providing a nuanced understanding of the interplay between political connections, REM, FC and AQ in the business context. Second, family-controlled businesses often exhibit distinct characteristics and governance structures compared to nonfamily-controlled firms. Exploring the moderating role of FC in the following relationship could provide valuable insights into how family dynamics influence the financial reporting practices of PCBs. Third, AQ is a critical factor in ensuring financial reporting transparency. However, the interaction between AQ, political connections, and REM remains relatively unexplored. This study explains how audit oversight affects the earnings management behavior of PCBs.

The formation of alliances between organisations is increasingly common, allowing firms to discover and ensure competitive advantages. This research paper aims to make a critical analysis of studies to understand the role of communication between partners in the process of strategic alliances.

A systematic literature review was carried out, using the Web of Science database to obtain data, associating the terms “communication” and “strategic alliances”, which resulted in 240 scientific articles (published between 1993 and March 2021). After data treatment using VOSviewer software and reading of the contents, the final sample consisted of 179 articles on the subject in question.

The conceptual limits, exploratory descriptive analysis of the data and content analysis of research methods are presented, with five clusters being identified. The results show growing academic interest in studying communication associated with strategic alliances, and authors’ main interest lies in understanding the critical success factors and the relation between communication and knowledge.

This study corroborates understanding of the future of alliances, assuming that learning is the main objective; trust is the factor determining success or failure; technology is the aggregating tool; culture affects the relation; and communication is not an end but a means to construct consolidated, long-lasting and high-performing strategic alliances.

This study is innovative in strategic alliances area. The research confirms that the main factor in forming alliances, in both emerging and international markets, is the learning intention. This fact reinforces the relevance of the learning made possible by this transfer of know-how through communication. In addition, this study gives critical understanding of how the process of communication between partners in an alliance must be distinct; i.e. it must be flexible enough to adjust to the stage in the alliance’s life cycle.

This study aims to unravel the role of teams’ job crafting in translating responsible leadership into their customer relationship performance.

The data were gathered from 87 managers and 608 employees from tour companies. The data analysis was performed via multilevel structural equation modeling.

The results demonstrated that crafting of team tasks played a mediating role for the link of responsible leadership to the team’s customer relationship performance. Task interdependence, outcome interdependence and their interaction attenuated the influence of responsible leadership on collective job crafting.

The results suggest that tourism managers can enhance customer relationship performance of their team through training and development of responsible leadership, encouraging team members’ crafting of team tasks, as well as enhancing outcome and task interdependence.

This research expands the literature by identifying how and when responsible leadership promotes team customer relationship performance in tourism companies.

This paper builds upon managerial discretion literature to study the relationship between foreign ownership and bribery intensity.

Building on World Bank’s data of 9,386 firms from 125 countries over the period 2006–2018, this paper uses Tobit regression, ordered probit and logit models to empirically test the hypotheses.

This paper finds that firms have higher bribery intensity when executives have a higher level of managerial discretion. Smaller firms with slack financial resources tend to bribe more when they face more government intervention, munificent and uncertain industrial environment.

Extant corruption literature has addressed the effects of external institutional settings and internal corporate governance on bribery offering among multinational enterprises (MNEs). How much, and under what condition do top executives matter in bribery activities are yet to be answered. This paper integrates the concept of managerial discretion with corruption and bribery literature and offers a potential answer to the above question. In addition, prior corruption and bribery literature have primarily studied bribery through either micro- or macro-level analysis. This paper adopts multiple-level of analyses and elucidates the foreign ownership and bribery relationship from the organizational and industrial levels.