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The host–guest molecules are often used in various fields and applications. This paper aims to discuss the role of host–guest complexes in the textile industry, focusing on calixarenes as a potential adsorbent for hazardous dyes. The paper begins with an introduction to nanotechnology and its many uses, including textiles.

The risks associated with the utilisation of dyes and its adverse effects on the environment are then also highlighted. This paper also discusses the structure and characteristics of calixarenes and their potential use as an adsorbent to extract toxic metals from aqueous solutions. The paper also explains the molecular structure of calixarenes, especially the ability of its upper and lower rims, which can be altered to yield derivatives with various selectivities for diverse guest ions and small molecules. In addition, the application of various host–guest molecules in the textiles industry to extract dyes also had been discussed.

In conclusion, the paper highlights the essential in establishing a systematic review on the significance of selective adsorbents, such as calixarenes, to isolate particular targets from diverse matrices in the textile industry.

Only discussing several applications for several host–guest molecules.

The paper concisely describes various host–guest molecule applications in the textile industry, with each molecule being elaborated upon in detail.

This research investigation aims to explore the factors that affect purchasing behaviour among consumers in India in the context of green electronic products with the aid of the extended theory of planned behaviour (TPB) by incorporating two additional constructs, namely environmental concern and ethical obligation.

The current research adopted a quantitative methodology, utilising a survey (questionnaire) to gather data from respondents residing in Delhi-NCR, India. A convenience sampling technique was used to select these respondents. Both online and offline modes were used to collect the data. Moreover, to evaluate the theoretical foundation of the investigation, the researchers employed PLS-SEM (partial least square structural equation modelling) on 346 useable samples.

The outcome reveals that attitude, subjective norm and perceived behaviour control (PBC) are significant predictors, supplementary constructs such as environmental concern are not significant predictors, whereas ethical obligation is a substantial predictor of purchase intention. Consumer purchase behaviour, in turn, is influenced by consumer purchase intention.

The outcome of this research could help the country’s legislators formulate policies and programs related to current environmental problems faced by our planet. Marketers could understand the factors that drive consumers' purchasing behaviour towards green electronic products and design effective marketing strategies accordingly. Thus, by enhancing the company’s green image, marketers of green products may potentially increase future purchases, all of which contribute to solving worldwide environmental problems.

This research confirms the usefulness of TPB in understanding Indian consumers' purchasing intention and behaviour towards green electronic products. It further extends the TPB by showing that new components, environmental concerns and ethical obligations influence Indian consumers' purchasing intentions and behaviour. Moreover, prior studies mostly used both additional constructs for green products. Current research used specific types of green products, i.e. green electronic products, as very few studies are available on these products that apply TPB, which makes this study novel. In contrast to previous research that primarily examined purchase intention, this study takes a further step by investigating the connection between intentions and consumers' purchase behaviour. It establishes intention as a precursor to behaviour, specifically towards green electronic products. Additionally, this study introduces new constructs and explores the Indian context, significantly contributing to the existing literature.

The purpose of this study is to explore the factors influencing viewers’ engagement intention in travel live streaming (TLS) from a perceived value perspective.

This study used a mixed-methods approach. In Study 1, 48 semistructured interviews were analyzed based on grounded theory and perceived value theory, and a research framework was established to investigate the impact of viewers’ engagement intentions in TLS. In Study 2, partial least squares structural equation modeling (PLS-SEM) was used to empirically validate survey data from 255 TLS viewers.

Through an analysis of the interview content, it was found that the expertise and interaction of the live streamer in TLS as well as the immersion, aesthetics and novelty of the live streaming scene are key influencing factors that affect the engagement of TLS viewers. This finding was confirmed through empirical research.

This research provides practical suggestions for live streamers, TLS platforms and local government to increase viewer engagement. Specifically, it provides methods and directions for the individual improvement of live streamers, further promotes the development and construction of the platform and underscores the importance of government initiatives in policy support and regulatory framework development.

This study focuses on the less-researched field of TLS. Using a mixed-methods approach combining interviews and PLS-SEM, this study explores the key factors that affect the engagement of TLS viewers based on the characteristics of live streamers and live streaming scenes.

From the perspective of intangible knowledge resources, this paper clarifies the impact of managerial ability on the performance of overseas investment subsidiaries. It explains the dilemma that the rapid growth of overseas investment by enterprises in emerging markets has not brought about the corresponding expected performance.

This paper uses matching data between the parent companies and overseas subsidiaries of Chinese A-share listed companies from 2007 to 2022 to study the impact of managerial ability on the performance of overseas investment subsidiaries and its mechanism.

The results show that there is a significant positive correlation between managerial ability and the performance of overseas subsidiaries. However, the impact of managerial ability exhibits heterogeneous, which is more significant in non-state-owned enterprises, investments in high-income economies and M&A investment. Managerial ability promotes mainly the performance of overseas subsidiaries through R&D knowledge resources, marketing knowledge resources and internationalization experience; managerial ability significantly impacts the performance of overseas subsidiaries in the case of CEO two-job separation, low CEO shareholding level, the executive team with overseas background and female.

This paper introduces managerial ability as a critical intangible knowledge resource in the study of overseas investment performance, enriching and expanding the connotation and theoretical foundation of managerial ability. It clarifies the impact mechanism of managerial ability on overseas investment performance from three dimensions: R&D knowledge resources, marketing knowledge resources and internationalization experience. It provides new empirical evidence and management enlightenment for promoting overseas investment performance and high-quality development in emerging market countries.

Purpose: To investigate the key technologies facilitating the transition towards Industry 5.0 and analysing the contributions of Nvidia, a prominent leader in this field, to these technological advancements.

Significance of the study: Technology companies such as Nvidia play a critical role in this transformation through their innovative solutions. This study addresses the need to understand this evolving landscape and the significant impact of the Nvidia.

Methodology: This study is a qualitative approach that examines the existing literature and secondary case studies pertaining to Industry 5.0, and Nvidia. This study examines Nvidia’s high-performance graphics processing units (GPUs), the digital twin platform Omniverse, and the humanoid robot technology development platform, Isaac.

Findings: The next generation of GPUs with the Blackwell architecture is expected to further advance the development of large language models. The Nvidia Omniverse platform contributes significantly to the development of digital twins, a crucial technology for Industry 5.0. The Nvidia Isaac platform focuses on the development of humanoid robot technology, which is a key component of Industry 5.0. Utilizing realistic simulations with Isaac Sim, imitating human behavior with GR00T, and leveraging the high-performance processing power of Jetson Thor, the platform facilitates the creation of robots capable of safe and effective human–robot collaboration. Nvidia has emerged as a leader in the artificial intelligence (AI), robotics, and gaming sectors because of its innovative and agile company culture.

Practical implications: Companies can leverage Nvidia’s technological solutions to optimize production processes and enhance both efficiency and sustainability. The human–machine collaboration emphasized by Industry 5.0 will necessitate the reshaping of workforce skillsets and operational approaches.

Artificial intelligence (AI) usage improves e-commerce logistics efficiency. However, many actors can play significant roles, such as supply chain consistency (SCC), last-mile logistics (LML) performance and collaboration and coordination among logistics firms. This study aims to assess how SCC and LML performance mediate and collaboration and coordination moderate the relationship between AI usage and logistics efficiency.

A structured questionnaire was used to collect the data. A total of 245 valid responses were received from Indian e-commerce businesses. The data were then analysed using AMOS v25 and structural equational modelling using SPSS for regression, PROCESS macro for mediation and moderated mediation analysis.

The findings show that AI usage independently impacts logistics efficiency, with SCC and last-mile delivery performance as mediating variables. Collaboration and coordination among logistic firms are also critical moderators in enhancing AI’s efficacy in logistic operations. The study findings suggest the integration of AI into logistic operations and provide implications to managers on the urgency of fostering a collaborative and synchronised environment to utilise the full potential of AI in e-commerce businesses.

This study not only contributes to the field of logistics theory by presenting empirical data on the various ramifications of AI but also offers practical guidance for logistics firms, particularly those operating in developing economies, on how to strategically employ AI to enhance operational efficiency and attain a competitive advantage in the era of e-commerce logistics in the digital age.

Digital transformation (DX) is advancing in the post-pandemic era, yet regional disparities remain pronounced. This uneven distribution may be attributed to cities’ doing business environment. As the doing business environment comprises various components, we aim to explore how these components interact to affect local firms' DX, thereby identifying which configurations of the doing business environment contribute to firms' DX.

The doing business environment in our study contains seven components: public services, government, legal, innovation, market, human resources and financial services environments. We adopt a fuzzy-set qualitative comparative analysis approach to determine the necessary and sufficient conditions for firms' high-level DX. The sample consists of enterprises listed on the China Science and Technology Innovation Board.

Firstly, a single doing business environment component is unnecessary for firms to produce a high- or non-high-level DX. Secondly, four configurations of the doing business environment explain firms' high-level DX of three general types: doing business environment configurations (1) dominated by the cost hypothesis, (2) synergised by the cost and resource hypotheses and (3) dominated by the resource hypothesis. Thirdly, the configurational paths generating firms’ high- or non-high-level DX are asymmetric and only one doing business environment configuration will lead to firms' non-high-level DX.

This study presents a ground-breaking exploration of the mechanisms driving firms' DX in terms of the city-level doing business environment and its dual functions. Additionally, we elucidate the reasons for the uneven regional distribution of DX development.

The Grey System Theory (GST) is an emerging area of research within artificial intelligence. Since its founding in 1982, it has seen a lot of multidisciplinary applications. In just a short period, it has garnered some considerable strengths. Based on the 1987–2021 data collected from the Web of Science (WoS), the current study reports the advancement of the GST.

Research papers utilizing the GST in the fields of economics and education were retrieved from the Web of Science (WoS) platform using a set of predetermined keywords. In the final stage of the process, the papers that underwent analysis were manually chosen, with selection criteria based on the information presented in the titles and abstracts.

The study identifies prominent authors, institutions, publications and journals closely associated with the subject. In terms of authors, two major clusters are identified around Liu SF and Wang ZX, while the institution with the highest number of publications is Nanjing University of Aeronautics and Astronautics. Moreover, significant keywords, trends and research directions have been extracted and analyzed. Additionally, the study highlights the regions where the theory holds substantial influence.

The study is subject to certain limitations stemming from factors such as the language employed in the chosen literature, the papers included within the Web of Science (WoS) database, the designation of works categorized as “articles” in the database, the specific selection of keywords and keyword combinations, and the meticulous manual process employed for paper selection. While the manual selection process itself is not inherently limiting, it demands a greater investment of time and meticulous attention, contributing to the overall limitations of the study.

The significance of the study extends not only to scholars and practitioners but also to readers who observe the development of emerging scientific disciplines.

The analysis of trends revealed a growing emphasis on the application of GST in diverse domains, including supply chain management, manufacturing and economic development. Notably, the emergence of COVID-19 as a new research focal point among GST scholars is evident. The heightened interest in COVID-19 can be attributed to its global impact across various academic disciplines. However, it is improbable that this interest will persist in the long term, as the pandemic is gradually brought under control.

Based on strategic choice theory, this study examines the impact and mechanisms of intellectual property demonstration city (IPDC) policy in China on corporate ESG performance.

This study uses China’s A-share listed companies’ data from 2009 to 2019 and conducts a difference-in-differences (DID) to explore the causal relationship between IPDC policy and corporate ESG performance.

Baseline regression results indicate that the IPDC policy can significantly improve corporate ESG performance. Mechanism tests reveal that the IPDC policy expands firm green technology innovation, enhances firm human capital investment and increases government innovation subsidies, thereby promoting corporate ESG performance. Moderating effect results show that the promotion impact on corporate ESG performance of the IPDC policy is diminished by government fiscal pressure. Heterogeneity analyses indicate that the IPDC policy has a stronger impact on corporate ESG performance in key cities, firms in high-tech industries, firms with a higher reliance on intellectual property protection (IPP) and state-owned enterprises (SOEs).

The findings enrich the theoretical research on the influencing factors of corporate ESG performance and provide practical references to strengthen IPP and implement a more thorough intellectual property development strategy.