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Exploring the determinants of a winery brand reputation (BR) and how those determinants interact is vital for the sustainable development of wineries as well as the growth of the wine industry as a whole. This study aims to test an integrated model to better understand the observed measurement constructs of winery brand reputation, including collective reputation (CR), wine label (WL), expert opinion (EO), social media advertising (SMA) and consumer wine knowledge (CWK).

In-depth interviews, an expert panel review and a pilot study were conducted to examine and improve the observed variables. A questionnaire survey was conducted as the main data source for the study. A total of 616 valid questionnaire responses were collected from 102 cities in mainland China and Hong Kong, Macao and Taiwan from December 2021 to April 2022. Structural equation modeling was conducted for the data analysis.

This study supported 9 of the 18 proposed theoretical hypotheses. WL, EO and SMA had positive effects on BR. CWK was found to have a moderating effect on the relationship between expert opinions/social media advertising and brand reputation.

The results of this study can guide wine practitioners, researchers and administrators in brand development, label regulation and consumer education.

To the best of the authors’ knowledge, this is the first attempt to examine the determinants of winery brand reputation among Chinese wine consumers. This study explains the mechanism of winery brand reputation, demonstrating the dynamics and effects of the observed measurement constructs on brand reputation.

The purpose of this study is to investigate the relationship between social trends, peer influence, personal attitudes regarding real estate purchase decisions, perception of long-term property value and the mediating effect of hedging in influencing property and real estate purchases.

Using a combination of quantitative surveys, this study aims to provide a comprehensive knowledge of the factors influencing real estate buying decisions. Data were obtained from 399 young consumers in four Indian cities. Using structural equation modeling, the suggested conceptual framework is examined.

The study’s findings suggest that attitude plays an important role in influencing real estate purchase decisions. Young adults also tend to look for long-term gains or value when purchasing a home. Developing durable products for the customers is the best way to grow business, according to the results.

To the best of the authors’ knowledge, this is the first paper that examines the role of sentimental, personal and financial factors in real estate purchase decisions. The study provides insights into how these factors interact and affect the decisions of consumers in real estate. The authors hope that the findings will be useful for real estate professionals to better tailor their services to meet the needs of their customers.

Drawing upon the needs–supplies fit theory, this study aims to examine how the expected and perceived algorithmic autonomy support (AAS) influences platform workers’ work stress and incivility, with a focus on the moderating role of self-direction.

Using data collected from 422 platform workers in China through multiple waves, the model is tested through polynomial regression and response surface analysis.

The results indicate that a mismatch between expected and perceived AAS is associated with higher levels of incivility among platform workers, and this relationship is mediated by work stress. These findings are particularly salient when self-direction is emphasized.

This study suggests that a universally high level of AAS may not necessarily reduce workers’ stress and incivility. Instead, it is important for platforms to ensure that their workers’ expectations of autonomy support are met and for workers to be given the space to exercise self-direction.

Previous studies have highlighted the need to pay attention to workers in mobile and ambiguous environments, and this study adds to this literature by focusing specifically on platform organizations and workplaces. This study provides valuable insights into the relationship between AAS, work stress and platform workers’ incivility.

Existing research has examined the results of women’s political leadership participation (WPLP) and the reasons for the lack of advancement of women to management positions. However, little research has been adopting a more comprehensive framework and configuration perspective to investigate the determinants of WPLP. By integrating institutional theory and institutional complementarities theory, this study aims to construct an institution–culture–structure framework to investigate the multiple driving mechanisms of WPLP.

Drawing on the fuzzy set qualitative comparative analysis method and a sample of 66 countries, the authors identify multiple equifinal combinations of conditions related to high and not-high levels of WPLP.

According to the results, the authors summarize five pathways influencing WPLP. These pathways include education and culture-driven pattern, political institutions-driven pattern, political institutions and structure-driven pattern, integrated-driven pattern and political institutions and culture restrictive pattern.

The authors shed new light on the driving mechanism of WPLP and contribute to research on making full out of women’s leadership.

This study analyses the effects of firm efficiency on firm performance and how controlling shareholders moderate the link between the two variables.

This study employs data envelopment analysis to estimate firm efficiency and the panel regression method to assess the hypothesised relationships among 1,295 firm-year observations of publicly listed firms in Malaysia from 2015 to 2019.

The results indicate that firm efficiency (technical efficiency, pure technical efficiency and scale efficiency) has mixed relationships with firm performance (return on assets, market-to-book ratio and operating cash flows), all of which are being moderated by controlling shareholdings.

This study highlights the importance of assessing firm efficiency as the key success factor for improving firm performance. Industrial managers should manage efficiently their resources or operating costs in achieving their corporate financial goals. Moreover, this study notes the presence of controlling shareholders, who can be either self-interested or company goal aligned.

This study suggests becoming efficient in transforming inputs into outputs is a prerequisite before investigating accrual-based and cash-based firm performance measures, and the presence of controlling shareholders matters in these regards.

This study aims to prepare thymol-based deep eutectic solvents (DESs) and use them as lubricates for friction and wear tests to simulate the wear conditions of hybrid bearings.

Through the characterization and analysis of the morphology of wear scars and the elemental composition of friction films, the tribological behavior and wear mechanism of sample materials as lubricants were investigated and the anti-wear mechanism of thymol-based DESs was discussed.

The findings demonstrate that because of the formation of a fluid lubrication film and excellent kinematic viscosity, the lubrication effect of the prepared DES is improved by about 50% compared to the base lubricating oil. The prepared [Ch]Cl-thymol DES has a better anti-friction and lubrication effect than citric-thymol, EG-thymol and urea-thymol DESs, with an average friction coefficient of about 0.04.

In this work, the friction reduction properties of thymol-based DESs were studied as lubricants for the first time, and the lubrication mechanism of sample materials was investigated.

This study aims to enhance the classification and processing of online appeals by employing a deep-learning-based method. This method is designed to meet the requirements for precise information categorization and decision support across various management departments.

This study leverages the ALBERT–TextCNN algorithm to determine the appropriate department for managing online appeals. ALBERT is selected for its advanced dynamic word representation capabilities, rooted in a multi-layer bidirectional transformer architecture and enriched text vector representation. TextCNN is integrated to facilitate the development of multi-label classification models.

Comparative experiments demonstrate the effectiveness of the proposed approach and its significant superiority over traditional classification methods in terms of accuracy.

The original contribution of this study lies in its utilization of the ALBERT–TextCNN algorithm for the classification of online appeals, resulting in a substantial improvement in accuracy. This research offers valuable insights for management departments, enabling enhanced understanding of public appeals and fostering more scientifically grounded and effective decision-making processes.

The advantages of applying big data analytics for organizations to boost innovation performance are enormous. By collecting and analysing substantial amounts of data, firms can discern what works for their customer needs and update existing products while innovating new ones. Notwithstanding the evidence about the effects of big data analytics, the link between big data analytics and innovation performance is still underestimated. Especially in today's fast-changing and complicated environments, companies cannot simply take big data analytics as one innovative technical tool without fully understanding how to deploy it effectively.

This study tries to investigate this relationship by building on the knowledge absorptive capacity perspective. The authors conceptualized effective use of big data analytics tools as one general absorptive capacity rather than a simple technical element or skill. Specifically, effectively utilize big data analytics tools can provide values and insights for new product innovation performance in a turbulent environment. Using online survey data from 108 managers, the authors assessed their hypotheses by applying the structural equation modelling method.

The authors found that big data analytics capacity, which can be conceptualized as one absorptive capacity, can positively influence product innovation performance. The authors also found that environmental turbulence has strong moderation effects on these two main relationships.

These results establish big data analytics can be regarded as one absorptive capacity, which can positively boost an organization's innovation performance.

Heritage tourism is an increasingly popular form of tourism that allows individuals to connect with the past and immerse themselves in cultural and historical narratives. Hence, the purpose of this study is to explore the intricate relationships among vicarious nostalgia (VNOS), memorable tourism experiences (MTEXs) and their collective influence on tourists’ behavioral intentions (BINTs). Additionally, this study examines the moderating effect of social return (SN) in the context of heritage tourism.

Data were gathered using a self-administered questionnaire from 259 tourists visiting heritage sites in Jaipur. The proposed model was tested using structural equation modeling.

The results confirmed that VNOS had a significant positive impact on BINT in the context of heritage tourism. The causal relationship between VNOS and BINT was fully mediated by MTEX. The results further verified that the presence of SN strengthens the association between MTEXs and BINT.

This research will guide the firms associated with heritage tourism to target specific cohorts interested in heritage tourism. Policymakers may find it easier to create unique offerings and packages that appeal to visitors interested in historical sites and produce memorable travel experiences. One key implication is to create “social media friendly spaces” at different locations of the sites. To increase tourism, managers may use the findings from this research to create plans for the ethical promotion and protection of cultural and natural heritage sites.

Overall, this research advances the understanding of the role of VNOS in heritage tourism by elucidating its cognitive and emotional aspects and their subsequent influence on the memorability of tourist experiences and BINT s. Additionally, by considering the moderating effect of SN, this study provides a comprehensive view of how these factors collectively shape tourists’ decisions and actions in the context of heritage destinations. This research has been conducted in the heritage city of Jaipur (North-Western India), which, surprisingly – despite its popularity as a heritage tourism site – has not been sufficiently explored in the scholarly research.

This paper aims to examine the effects of two types of improvisational strategic orientation on new venture performance: defensive improvisation and creative improvisation. Moreover, this study investigates the role of entrepreneurial bricolage in mediating the transition from various types of improvisational strategic orientation to new venture performance.

This study is designed as quantitative research, employing a structural equation model and bootstrap analysis to empirically test the survey data of 249 new ventures gathered to investigate the true relationship between variables in this paper.

The findings of this study show that (1) both defensive and creative improvisation positively affect the performance of new ventures, with defensive improvisation having a stronger positive effect; (2) both internal and external bricolage positively affect new venture performance, and play varying degrees of intermediary roles in the influence that defensive and creative improvisation has on the performance of start-ups.

The following limitations apply to this study: First, this paper collects data using a cross-sectional research design, which cannot reveal dynamic changes in the research variables. Second, this study only opens the “black box” of the role of improvisational strategic orientation on new venture performance from the perspective of entrepreneurial bricolage, and the research conclusion may be biased. Finally, the external factors' contingency effect on the relationship between variables is ignored.

This study develops a theoretical research model of improvisational strategic orientation, entrepreneurial bricolage and new venture performance, and provides a thorough examination of the internal mechanisms of various types of improvisational strategic orientation on new venture performance. The research findings not only contribute to the advancement of research on improvisational strategic orientation in the context of entrepreneurship but also assist entrepreneurs in developing a correct understanding of improvisational strategic orientation.