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The main purpose of this study is to examine the impact of agricultural internet information (AII) acquisition on climate-resilient variety adoption among rice farmers in the Jianghan Plain region of China. Additionally, it explores the influencing channels involved in this process.

Based on survey data for 877 rice farmers from 10 counties in the Jianghan Plain, China, this paper used an econometric approach to estimate the impact of AII acquisition on farmers’ adoption of climate-resilient varieties. A recursive bivariate Probit model was used to address endogeneity issues and obtain accurate estimates. Furthermore, three main influencing mechanisms were proposed and tested, which are broadening information channels, enhancing social interactions and improving agricultural skills.

The results show that acquiring AII can overall enhance the likelihood of farmers adopting climate-resilient varieties by 36.8%. The three influencing channels are empirically confirmed. Besides, educational attainment, income and peer effects can facilitate farmers’ acquisition of AII, while climate conditions and age significantly influence the adoption of climate-resilient varieties.

Practical recommendations are put forward to help farmers build climate resilience, including investing in rural internet infrastructures, enhancing farmers’ digital literacy and promoting the dissemination of climate-resilient information through diverse internet platforms.

Strengthening climate resilience is essential for sustaining the livelihoods of farmers and ensuring national food security; however, the role of internet information has received limited attention. To the best of the authors’ knowledge, this study is the first to examine the casual relationship between internet information and climate resilience, which fills the research gap.

Aiming at the lack of explanatory power of traditional industrial organization theory in cross-border competition, by introducing the idea of ecological niche, the authors aim to explore the competitive situation of platform-based enterprises when they operate in multiple fields.

With the help of ecological niche theory, construct the niche width and niche overlap index of typical enterprises in the platform economy, and find out the advantages and the intensity of competition through comparative analysis.

In an environment of cross-border competition, large enterprises have significant competitive advantages, and the fierce competition is concentrated among medium-sized enterprises.

The conclusions of this paper not only provide new insights for explaining the phenomenon of cross-border competition in the platform economy, but also provide theoretical reference for the anti-trust enforcement practice in the platform economy.

The present study reviews the literature on the history and evolution of investment strategies in the stock market for the period from 1900 to 2022. Conflicts and relationships arising from such diverse seminal studies have been identified to address the research gaps.

The studies for this review were identified and screened from electronic databases to compile a comprehensive list of 200 relevant studies for inclusion in this review and summarized for the cognizance of researchers.

The study finds a coherence to complex theoretical documentation of more than a century of evolution on investment strategy in stock markets, capturing the characteristics of time with a chronological study of events.

There were complications in locating unpublished studies leading to biases like publication bias, the reluctance of editors to publish studies, which do not reveal statistically significant differences, and English language bias.

Practitioners can refine investment strategies by incorporating behavioral finance insights and recognizing the influence of psychological biases. Strategies span value, growth, contrarian, or momentum indicators. Mitigating overconfidence bias supports effective risk management. Social media sentiment analysis facilitates real-time decision-making. Adapting to evolving market liquidity curbs volatility risks. Identifying biases guides investor education initiatives.

This paper is an original attempt to pictorially depict the seminal works in stock market investment strategies of more than a hundred years.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

Most of current studies have explored the impact of entrepreneurial culture on entrepreneurial intentions in specific region rather than cross-cultural regions; in addition, these studies have looked more at entrepreneurial role models as part of the environmental factors that influence individuals’ entrepreneurial intentions (Lafuente et al., 2007), rather than viewing environmental factors as independent variables. Furthermore, less research exists to hypothesize and validate the mechanism of this process, even if some studies have already shown the similar ideas. To fill the aforementioned research gap in this area, based on new institutional theory and social cognitive career theory, this paper aims to explore the influence of entrepreneurial role models on entrepreneurial intentions in different cultural contexts by introducing two independent national-level factors, collectivism and media publicity, and subsequently examines the mediating role of self-efficacy.

Two major international databases, Adult Population Survey Global Entrepreneurship Monitor (APS GEM) 2017 and Global Leadership and Organizational Behavior Effectiveness (GLOBE), were used as data sources for this paper. In total, the authors obtained data from 174,128 respondents in the APS GEM 2017 database. Because there is a national-level variable, collectivism, which was collected by the GLOBE, the authors excluded 50,046 participants because their countries did not score collectivism in this database. After screening, 124,082 valid observations from 35 countries were obtained. In this study, hierarchical linear modeling (HLM) was used as the method and HLM 6.08 was adopted for data analysis. According to the purpose of the study, the following four different models will be tested in turn using the HLM, which include the null model, random coefficients regression model, intercepts as outcomes model and slopes as outcomes model.

Some previous studies have shown that entrepreneurial role models have a positive impact on individuals' entrepreneurial intentions, however, the exploration of this effect and its mechanisms in different cultural contexts is lacking (Abbasianchavari and Moritz, 2021). In response, based on a cross-level and cross-national survey, this paper advances the original literature by introducing two cultural dimensions, collectivism and media publicity. The current results suggest that the positive influence of entrepreneurial role models on individuals’ entrepreneurial intentions is somewhat generalized and that self-efficacy plays a mediating role. Moreover, collectivism and media publicity can negatively and positively moderate the effects of entrepreneurial role models on self-efficacy and entrepreneurial intentions, respectively. The findings provide some theoretical support for the role of cultural context in the formation of entrepreneurial intentions, which can help countries with diverse cultures to develop differentiated entrepreneurial role model advocacy strategies to better facilitate the emergence of potential entrepreneurs and advance their subsequent entrepreneurial activities.

First, because this study assumes that entrepreneurial role models are templates that can inspire potential entrepreneurs and provide them with entrepreneurial approaches (Laviolette et al., 2012), which has a certain positive bias, it may mean that the findings of this paper are not applicable to all scenarios, as role models are usually classified by scholars into positive and negative ones. The effect of different types of role models on entrepreneurial intention in a cross-cultural context will be considered as one of the future research directions. Second, in the measurement of country-level variables, this paper assumes that the degree of media publicity and collectivism are homogeneous within a country and does not take into account the differences in these two variables across regions within the same country. Future research is expected to use more granular designs to explore, for example, the effect of entrepreneurial role models on entrepreneurial intentions based on regional differences in media publicity and collectivism, rather than national differences. Third, due to the cross-sectional research design used in this paper, the dynamic influence of entrepreneurial role models in the entrepreneurial process was not included in the analysis. In addition, the focus of this study is only on entrepreneurial intention, which is separated from the subsequent entrepreneurial behavior of entrepreneurs. Therefore, the longitudinal study design that explores the dynamic influence of role models in entrepreneurial process should receive more attention.

First, enhancing the exposure of entrepreneurial role models is necessary because the authors found that entrepreneurial role models can positively promote entrepreneurial intentions, whereas self-efficacy plays a mediating role. For example, it is advised for the society to publish entrepreneurs' autobiographies, open entrepreneurial forums, create entrepreneurial interview columns, etc. In these books and activities, detailed descriptions of successful entrepreneurs' methods and skills are highly needed, as these can help potential entrepreneurs to better understand the entrepreneurial process, thus improving their self-efficacy and facilitating their entrepreneurial activities (Zhao et al., 2005). It is necessary to note here that matching the characteristics of entrepreneurial role models and potential entrepreneurs cannot be ignored, as similar characteristics could facilitate the desire of potential entrepreneurs to become more like entrepreneurial role models (Hoffner and Buchanan, 2005).These similar characteristics encompass both demographic characteristics, such as gender, race and age (Garcia, 2017; Harwood, 1999; Jose, 1989), and personal characteristics, such as goal embodiment and educational background (Bosma et al., 2012; Morgenroth et al., 2015). Moreover, the authors believe that the media's promotion of entrepreneurial role models and entrepreneurial activities needs to be enhanced, for example, by incorporating entrepreneurship education in television programs, allowing youth to meet face-to-face with successful entrepreneurs, and developing entrepreneurship lectures or interview programs.

At the same time, role models should be presented differently in diverse cultural contexts. For example, in countries with a strong collectivist orientation, the media should include collectivist messages when promoting entrepreneurial role models, such as his cooperation with the government, family and friends, which is in line with collectivist values, so that potential entrepreneurs in a collectivist context may perceive more similarity to role models and thus increase their entrepreneurial intentions (Morris et al., 1994); On the contrary, in countries with low collectivist tendencies, the media can appropriately carry an element of individualism when promoting entrepreneurial role models, for example, by telling how entrepreneurs succeed on their own strength and superior abilities, which is in accordance with the values of individualism. Based on the same logic, potential entrepreneurs in the context of individualism may thus generate more entrepreneurial intentions (Morris et al., 1994).

First, building on previous studies that explored the relationship between entrepreneurial role models and individuals’ entrepreneurial intentions (Stupacher et al., 2017), the authors further validated the moderating role of two national-level situational factors, collectivism and media advocacy, in this process, which echoes Abbasianchavari and Moritz (2021) that exploring the effects of entrepreneurial role models on entrepreneurial intentions in different cultural context is an essential topic for the future research. Second, the authors demonstrated that self-efficacy can mediate the relationship between entrepreneurial role models and entrepreneurial intentions and that this finding is generalizable. This responds to the hypothesis presented by Morgenroth et al. (2015) that role models, who are served as behavioral templates, can facilitate the generation of goals and behavioral intentions by increasing role aspirates’ self-efficacy, as it enhances their perceived accessibility to goals. Another contribution is that the authors found a possible explanation that the interaction of collectivism and media publicity with entrepreneurial role models may influence individuals' entrepreneurial intentions by affecting their self-efficacy, which unifies the new institutional theory and social cognition career theory.

Hedonic value is commonly conceded as a determinant of behavioral intentions toward location-based advertising (LBA). However, the careful consideration of a mechanism behind hedonic motivation and its subsequent impact on continuance intention is inadequate. This study aims to explore the formation of hedonic value and its motivation for prolonged usage toward LBA.

A sample of 486 mobile users was recruited to evaluate the research model using structural equation modeling (SEM).

Results reveal that perceived utility and promotional offers are the strongest indicators of hedonic value. Moreover, social support and contextual convenience play an essential role in heightening hedonic value. Furthermore, the research lenses attempt to clarify the direct, indirect influences of hedonic value, irritation and perceived credibility on continuance intention.

The findings offer practitioners an understanding of how to improve hedonic value and continuance intention and develop effective LBA strategies in emerging markets.

This study narrows the gap of current literature by formulating a hedonic value-based continuance intention model based on uses and gratifications theory (UGT). Additionally, this work illuminates the insights into hedonic value toward LBA by identifying its motivations, including perceived utility, promotional offers, social support and contextual convenience.

Due to the conflicts between left turn traffic and opposite straight-going traffic in urban traffic network, some of the traffic lanes cannot be used to discharge vehicles during its green phases and the intersection capacity can be greatly reduced. This study/paper aims to reduce the effect of conflicts and increase its capacity through the reasonable pre-signal phase time with the exchangeable lanes.

This paper took into consideration various influence factors to intersection capacity and formulated the capacity optimization model based on 0-1 mixed-integer programming model. This model is efficiently solved by standard branch-and-bound algorithms.

The authors took an intersection as an example and solved the optimal signal timing and entrance lane capacity via this model. Then, simulations were carried out to verify the effect of the exchangeable lanes strategy of this intersection through the simulation software VISSIM and take the traffic volume and delay as outputs, which indicated that this model has better performance.

The front-end control strategy can not only exploit the full potential of the intersection but also significantly improve the operational efficiency of the intersection. It plays a positive role in improving urban intersection congestion.

The purpose of this paper is to examine the hotel growth model including hotel brand, culture and life cycle phases of the Myrtle Beach, South Carolina, the fastest growing tourism destination in the United States.

Culture reflecting consuming behaviour of low-context innovators and high-context imitators is measured by the price elasticity of demand (PED). Hotel brand reflecting guests’ hotel class is measured by the income elasticity of demand. Autoregressive distributed lag has been conducted on the Smith Travel Research data in 33 years (1989–2022) to determine the relationship among hotel brand, culture and life cycles.

Skilled labour is the key to make hotels grow. Therefore, increase room rates when hotels possess skilled professionals and decrease room rates when hotels have no skilled professionals. During the rejuvenation in Myrtle Beach (1999–2003), hoteliers increased room rates for innovators due to skilled professionals to increase revenue. Otherwise, a decrease in room rates due to lack of skilled professionals would lead to increase revenue.

(1) Although Myrtle Beach is one of the fastest growing tourism destinations in the US, it has a relatively small geographic area relative to the country. (2) Data cover over one tourist life cycle, so the time span is relatively short. Hoteliers can forecast the number of guests in different culture by changing room rates.

To optimize revenue, hoteliers can select skilled labour in professional design hotel brands which could make an increase in demand for leisure transient guests no matter what room rates increase after COVID-19 pandemic.

The study has considered the applied ethical processes regarding revenue management that would maximize both revenue and customer satisfaction when it set up an increase in room rates to compensate for professional hotel room design or it decreases room rates for low-income imitators in exploration and development.

This research highlights that (1) skilled design in the luxury hotel brand is the key for the hotel growth and (2) there is a steady state of the growth model in the destination life cycle.

This study aims to comparatively measure the impact factors of financial inclusion and their spillover effects for Belt and Road countries using panel data from 57 countries in 2011, 2014, 2017 and 2021 and relevant indicators from three dimensions: availability, usage and quality to construct a digital empowerment index of financial inclusion.

A spatial Durbin panel model is constructed to empirically test the impact mechanism of financial inclusion under digital empowerment.

Results reveal that improving a country’s quality of regulation, technology and residents’ financial literacy significantly contributes to the development of its financial inclusion, while improving its neighboring countries’ financial literacy also boosts its financial inclusion development. This study provides theoretical support for evaluating the development level of inclusive finance in “Belt and Road” countries, promoting the development of inclusive finance and alleviating the problem of financial exclusion.

This study is original as it creates a research paradigm for “Belt and Road” countries, enabling systematic testing and comparative analysis of inclusive finance development. It incorporates traditional and digital services, evaluating them based on sharing, fairness, convenience and specific group benefits. An inclusive financial index is constructed using the coefficient of variation and arithmetic weighted average methods. Additionally, it introduces a more rational analysis approach for the influence mechanism and spatial effect, using an economic geography nested matrix and spatial Durbin model to explore spatial effects in inclusive finance.

To achieve the Sustainable Development Goals (SDGs) in the era of Logistics 4.0, machine learning (ML) techniques and simulations have emerged as highly optimized tools. This study examines the operational dynamics of a supply chain (SC) in Vietnam as a case study utilizing an ML simulation approach.

A robust fuel consumption estimation model is constructed by leveraging multiple linear regression (MLR) and artificial neural network (ANN). Subsequently, the proposed model is seamlessly integrated into a cutting-edge SC simulation framework.

This paper provides valuable insights and actionable recommendations, empowering SC practitioners to optimize operational efficiencies and fostering an avenue for further scholarly investigations and advancements in this field.

This study introduces a novel approach assessing sustainable SC performance by utilizing both traditional regression and ML models to estimate transportation costs, which are then inputted into the discrete event simulation (DES) model.