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The purpose of this paper is to examine the influence of ordinary returnee and foreign employees in firm export performance, whose impacts have been overseen in prior research. This study also explores whether returnee and foreign employees function as substitutes or complements, and simultaneously considers the impacts of contextual factors on the relationship between returnee (foreign) employees and firm export performance.

Using panel data of Beijing’s Zhongguancun Science Park manufacturing firms over a seven-year period, from 2009 to 2015, the paper applies panel Tobit regression to deal with the left-censoring dependent variable.

This paper finds the number of returnee and foreign employees has significantly positive influence in promoting firm export performance; however, substitution effects exist between them. In addition, the positive effects of returnee and foreign employees on firm export performance are conditional. For foreign employees, the presence of corporate president with international background and firm imports will weaken their positive impacts. In terms of returnee employees, their positive influence proves not to be significantly reduced by corporate president’s international background but weakened by firm imports.

Previous research only highlights returnee entrepreneurs’ and top managers’ positive influence on firm export performance. However, with the development of emerging countries, for instance, China in this paper, ordinary returnee and foreign employees are playing more and more critical roles in firms’ internationalization process. This paper responds to the practical needs to focus on ordinary returnee and foreign employees.

Grassland in Qinghai as the main type of ecosystem in this region is located in arid and semi-arid areas. The ecosystem is fragile and sensitive to climate change. Grassland ecosystem not only provides essential ecological and life functions for human society but also plays a vital role in mitigating and adapting to climate change. The empirical literature on grassland ecosystem services value (ESV) does not consider the impact of climate change and regional economic development level factors, which prevents policymakers from making appropriate decisions. This paper aims to analyze the influencing factors of grassland ESV assessment, and, based on the meta-prediction model, account the grassland ESV in Qinghai province.

To understand the value of grassland ecosystem services in China under climate change, this paper used 61 research literature on the evaluation of grassland ESV in China, including a total of 564 value observations to establish a value transfer database. Based on the meta-analysis method, this study has constructed a value transfer model, to evaluate the grassland ESV in Qinghai province, and an interpretation model, which can analyze if the independent variables affect the grassland ESV significantly.

The study finds that the evaluation methods, types of ecosystem service functions, climate change and grassland types can affect the grassland ESV significantly. Based on the meta-regression prediction model to evaluate the grassland ESV in Qinghai is US$1,542.67/ha/year. It indicates several targeted approaches to increase the grassland ESV, and climate change also has a specific impact on the value of grassland ecosystem services.

This study provides a scientific basis for grassland management related to the development of grasslands and ecological compensation, as well as promote the sustainable development of grassland ecosystems.

This paper contributes to the field of grassland ESV assessment in at least three aspects; first, it innovatively introduces the meta-analysis to carry out an integrated analysis of previous research results; second, it includes a broader set of influence variables in the analysis, including meteorological and economic factors; and third, it establishes a methodological basis for the field of grassland ESV accounting.

This study aims to investigate the responses of young Chinese consumers with different cultural characteristics to negative brand information about electric vehicles.

The current study is quantitative research with an experimental method. It shows two different levels of severity for negative publicity and asks participants to self-report through questionnaires.

Chinese young consumers, being collectivist and of high uncertainty avoidance, tend to search for and spread information; consumers with low power distance search and share information more under low information severity. In addition, information search positively affects brand attitude under lower severity; negative word-of-mouth intention negatively affects brand attitudes at both severity levels.

The current study examines the influence of personal cultural values on information searching and negative information dissemination among young consumers, providing insights to complement previous studies. Furthermore, it explores how such exposure influences young consumers’ brand attitude and intention to purchase. Limitations include simple sample scopes and single-product stimuli.

This research highlights the importance of cultural dimensions in shaping young consumers’ responses to negative publicity. Marketers worldwide should consider cultural influence and develop specific strategies to address negative information about different products. Understanding customers’ unique characteristics and preferences can help marketers effectively tailor their approaches to counter negative publicity.

This study originally provides a supplement to prior studies on cultural dimensions and consumer behavior and provides suggestions to marketers on young Chinese consumers.

This study aims to introduce an important temporal dimension to the research on institution and entrepreneurship in the transition period. This study develops the concept of pre-reform institutional embeddedness, and explores its impact on entrepreneurial reinvestment of private firms in China’s transition economy.

The authors used secondary data of a nationally representative sample of China’s private firms collected in the early days of the institutional transition period and applied ordinary least squares regressions and the Baron and Kenny approach to test the theoretical model.

Pre-reform institutional embeddedness has a negative impact on entrepreneurial reinvestment of private firms in the transition period. This relationship is mediated by guanxi-induced employment, such that pre-reform institutional embeddedness promotes guanxi-induced employment, which in turn discourages a private firm to reinvest. Additionally, the negative impact of guanxi-induced employment on entrepreneurial reinvestment is reduced when decentralization of decision-making is used.

First, entrepreneurs should be aware of pre-reform institutional embeddedness’ negative influence on firms’ risk-taking abilities and incentives. Private firms already constrained by this connection could alleviate the negative impacts through a widespread delegation of decision-making authority. Second, policymakers should be cautious about improper government-business relationships, which may discourage private firms from fully pursuing entrepreneurial growth opportunities.

This paper makes theoretical contributions to the literature on entrepreneurial reinvestment, embeddedness perspective of entrepreneurship and imprinting theory.

One of the currently debated changes in scientific practice is the implementation of data sharing requirements for peer-reviewed publication to increase transparency and intersubjective verifiability of results. However, it seems that data sharing is a not fully adopted behavior among researchers. The theory of planned behavior was repeatedly applied to explain drivers of data sharing from the perspective of data donors (researchers). However, data sharing can be viewed from another perspective as well: survey participants. The research questions (RQs) for this study were as follows: 1 Does data sharing increase participant's nonresponse? 2 Does data sharing influence participant's response behavior? The purpose of this paper is to address these issues.

To answer the RQs, a mixed methods approach was applied, consisting of a qualitative prestudy and a quantitative survey including an experimental component. The latter was a two-group setup with an intervention group (A) and a control group (B). A list-based recruiting of members of the Medical Faculty of the University of Freiburg was applied for 15 days. For exploratory data analysis of dropouts and nonresponse, we used Fisher's exact tests and binary logistic regressions.

In sum, we recorded 197 cases for Group A and 198 cases for Group B. We found no systematic group differences regarding response bias or dropout. Furthermore, we gained insights into the experiences our sample made with data sharing: half of our sample already requested data of other researchers or shared data on request of other researchers. Data repositories, however, were used less frequently: 28% of our respondents used data from repositories and 19% stored data in a repository.

To the authors’ knowledge, their study is the first study that includes researchers as survey subjects investigating the effect of data sharing on their response patterns.

Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.

Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.

The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.

The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.

The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.

Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.

Sustainable consumption is a crucial route to sustainable tourism. Hence, the purpose of this study is to investigate the individual and combined effect of social learning and eco-labels on the green hotel selection.

This study used a between-subject online experimental method with 199 respondents, which is used only in around 15% of published tourism articles. Additionally, this method provided reliability and control features.

Social learning and eco-labels individually could not influence tourists to select green hotels. However, the interaction of positive performance social learning with eco-labels could potentially influence tourists' green hotel selection. Therefore, internalizing green hotel performance from trusted sources and external validation bring behavioral changes among tourists to select green hotels. This study offers a new social learning-based model for understanding sustainable consumption.

This study can use various other types of social influences and can be expanded to other green settings.

This study provides policy and promotion formulation insights to hotel managers and sustainable tourism promoters to market green hotels.

Away from the traditional theory, this study bridges the gap between social learning of performance from relatable sources, assurance from governing entities and sustainable consumption. The interaction effect of social influence and eco-label on green hotel selection is a novel finding. Also, this study introduces various levels of social learning to the discussion of sustainable consumption.

该研究对 199 名受访者使用了主题间在线实验方法, 仅在大约 15% 的已发表旅游文章中使用。此外, 这种方法提供了可靠性和控制功能。

可持续消费是可持续旅游的重要途径。因此, 本研究调查了社会学习和生态标签对绿色酒店选择的个体和综合影响。

单独的社会学习和生态标签不能影响游客选择绿色酒店。然而, 积极绩效社会学习与生态标签的相互作用可能会影响游客对绿色酒店的选择。因此, 从可信赖的来源和外部验证中内化绿色酒店绩效, 会带来游客选择绿色酒店的行为变化。该研究为理解可持续消费提供了一种新的基于社会学习的模型。

该研究可以使用各种其他类型的社会影响, 并可以扩展到其他绿色环境。

它为酒店经理和可持续旅游推广者提供了政策和促销制定的见解, 以推销绿色酒店。

与传统理论不同, 本文填补了相关来源的绩效社会学习、管理实体的保证和可持续消费之间的研究空白。社会影响和生态标签对绿色酒店选择的交互作用是一个新的发现。此外, 它还将不同层次的社会学习引入到可持续消费的讨论中。

El estudio utilizó un método experimental online entre sujetos con 199 encuestados, utilizado sólo en alrededor del 15% de los artículos de turismo publicados. Además, este método ofrecía características de fiabilidad y control.

El consumo sostenible es una vía crucial para el turismo sostenible. Por ello, este estudio investiga el efecto individual y combinado del aprendizaje social y las etiquetas ecológicas en la selección de hoteles ecológicos.

El aprendizaje social y las ecoetiquetas por separado no pudieron influir en los turistas para que seleccionaran hoteles ecológicos. Sin embargo, la interacción del aprendizaje social del rendimiento positivo con las ecoetiquetas podría influir potencialmente en la selección de hoteles ecológicos por parte de los turistas. Por lo tanto, la interiorización del rendimiento de los hoteles ecológicos a partir de fuentes de confianza y la validación externa provocan cambios de comportamiento entre los turistas para seleccionar hoteles ecológicos. El estudio ofrece un nuevo modelo basado en el aprendizaje social para entender el consumo sostenible.

El estudio puede utilizar otros tipos de influencias sociales y puede ampliarse a otros entornos ecológicos.

Proporciona ideas para la formulación de políticas y promociones a los directores de hoteles y a los promotores del turismo sostenible para comercializar hoteles ecológicos.

Se aleja de la teoría tradicional y tiende un puente entre el aprendizaje social de los resultados a partir de fuentes relacionadas, la garantía de las entidades gobernantes y el consumo sostenible. El efecto de la interacción entre la influencia social y la etiqueta ecológica en la selección de hoteles ecológicos es un hallazgo novedoso. Además, introduce varios niveles de aprendizaje social en el debate sobre el consumo sostenible.