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This study aims to identify an antecedent that hinders knowledge sharing, namely, the perceived climate of Cha-xu. Based on the social exchange perspective, the authors propose a theoretical model that links the perceived climate of Cha-xu to employee knowledge sharing. This model focuses on the mediating role of two types of trust (vertical and horizontal trust) and the moderating role of task interdependence in influencing the mediation.

Using a sample of 509 Chinese employees, this study carried out a survey on an online platform. This study developed a structural equation model and tested the moderated mediation hypothesis by using Mplus 8.0.

The results showed that two types of trust act as mediators in the relationship between the perceived climate of Cha-xu and knowledge-sharing processes. The mediating effect of horizontal trust is stronger. Most significantly, findings show that this mediated relationship is contingent on the level of task interdependence.

This paper provides evidence for distinguishing vertical trust and horizontal trust in the field of knowledge management. From a managerial perspective, this study identifies traditional cultural factors for hindering knowledge-sharing processes within Chinese organizations.

The focus of this paper is to further improve the implementation safeguard measures of the National Plan for Main Functional Zones of Ocean (NPMFZO) based on the implementation status of the national marine main functional area plan after the promulgation of the existing marine planning implementation safeguard measures, aiming at the problems existing in the implementation of the plan, to help the implementation of the plan more effective.

This paper reviews the historical process of the preparation and implementation of NPMFZO, analyzes the problems existing in the implementation of this plan, and puts forward some measures and suggestions under the background of the new national territory planning system.

In the new period, the authors should focus on building the evaluation system of planning implementation, strengthening the coordination with other plans, improving the supporting policies of planning and ensuring the effective implementation of the main functional zoning of oceans under the territorial spatial planning system.

This paper reviews some problems existing in the implementation of the NPMFZO and puts forward policy suggestions to ensure the implementation of the plan in the new period.

This research explores the differential effects of pixel-level and object-level visual complexity in firm-generated content (FGC) on consumer engagement in terms of the number of likes and shares, and further investigates the moderating role of image brightness.

Drawing on a deep learning analysis of 85,975 images on a social media platform in China, this study investigates visual complexity in FGC.

The results indicate that pixel-level complexity increases both the number of likes and shares. Object-level complexity has a U-shaped relationship with the number of likes, while it has an inverted U-shaped relationship with the number of shares. Moreover, image brightness mitigates the effect of pixel-level complexity on likes but amplifies the effect on shares; contrarily, it amplifies the effect of object-level complexity on likes, while mitigating its effect on shares.

Although images play a critical role in FGC, visual data analytics has rarely been used in social media research. This study identified two types of visual complexity and investigated their differential effects. We discuss how the processing of information embedded in visual content influences consumer engagement. The findings enrich the literature on social media and visual marketing.

Degradable mulch film (DMF) is a potential alternate to polyethylene (PE) mulching. In this regard, the purpose of this paper is to explore the effects and paths of natural disaster shock and risk aversion influencing farmers’ DMF adoption.

This research is conducted by collecting cross-sectional data of corn farmers in Zhangye, China. First, by using the Tobit model, the paper attempts to explore the effects of natural disaster shock and risk aversion influencing farmers’ DMF adoption. Second, IV-Tobit model is applied to deal with endogenous problems between risk aversion and DMF adoption. Additionally, the researchers used a moderating model to analyze feasible paths of natural disaster shock and risk aversion impacting farmers’ DMF adoption.

The outcomes show that natural disaster shock and risk aversion significantly and positively affect farmers’ DMF adoption. Though risk aversion plays a significant moderating effect in influencing farmers’ DMF adoption by natural disaster shock, the moderating effect has a serious disguising effect. By considering the heterogeneity of risk aversion, the paper further confirms that if the intensity of natural disaster shock is increased by one unit, the intensity of MDF adoption by farmers with high-risk aversion also tends to increase by 15.85%.

This study is the pioneer one, which is evaluating the intensity of farmers’ DMF adoption from adoption ratio, investment amount, labor input and adoption time. Additionally, the research provides important guidelines for policymakers to motivate medium and low-risk aversion farmers to adopt DMF.

Studying mobile learning – the use of electronic devices (i.e. cellphone and tablets) to engage in learning across multiple contexts via connection to peers, media, experts and the larger world is a relatively new academic enterprise. This study analyzes the influencing factors of mobile learning (M-learning) motivation based on the time continuum model of motivation (TCMM).

The study uses structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to verify relationships between mobile learning motivation, attitude, need, stimulation, emotion, ability and reinforcement. Justification for the use of both methods lies in the complementarity relationships that existed between the variables and research methodologies. The sample contains 560 mobile learners' feedback.

Results show that attitude, need, emotion, ability and reinforcement are important factors to enhance mobile learning motivation, while stimulation is not.

This work highlights the importance of training for app designers on how to design an M-learning App with high learning motivation by paying prior attention to learning content, teaching team and online learning communities.

This study proposes three precise solutions (scholars, managers and practitioners) to improve learning motivation based on the categorization of mobile learners.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0226.

The rapid development of smart cities and green logistics has stimulated a lot of research on reverse logistics, and the diversified data also provide the possibility of innovative research on location-routing problem (LRP) under reverse logistics. The purpose of this paper is to use panel data to assist in the study of multi-cycle and multi-echelon LRP in reverse logistics network (MCME-LRP-RLN), and thus reduce the cost of enterprise facility location.

First, a negative utility objective function is generated based on panel data and incorporated into a multi-cycle and multi-echelon location-routing model integrating reverse logistics. After that, an improved algorithm named particle swarm optimization-multi-objective immune genetic algorithm (PSO-MOIGA) is proposed to solve the model.

There is a paradox between the total cost of the enterprise and the negative social utility, which means that it costs a certain amount of money to reduce the negative social utility. Firms can first design an open-loop logistics system to reduce cost, and at the same time, reduce negative social utility by leasing facilities.

This study provides firms with more flexible location-routing options by dividing them into multiple cycles, so they can choose the right option according to their development goals.

This research is a pioneering study of MCME-LRP-RLN problem and incorporates data analysis techniques into operations research modeling. Later, the PSO algorithm was incorporated into the crossover of MOIGA in order to solve the multi-objective large-scale problems, which improved the convergence speed and performance of the algorithm. Finally, the results of the study provide some valuable management recommendations for logistics planning.

Value cocreation has become an important way to enhance the brand equity of a tourism destination. Different from common tourism contexts, agritourism has strong participatory and productive characteristics and is regarded as a critical platform of value cocreation. Therefore, this paper aims to explore the relationship between agritourism experience value cocreation and brand equity of rural tourism destinations from the perspective of tourists.

A questionnaire survey was conducted, and 602 valid questionnaires were collected by a random sample in 2021. Structural equation modeling was used to empirically analyze the data.

The results revealed that tourists’ participation, interaction and citizenship behaviors play a critical role in brand equity of rural tourism destinations. Meanwhile, tourists’ interaction and citizenship behaviors influenced brand equity of rural tourism destinations, via hedonic enjoyment and eudaimonia experience, and perceived experience value. Tourists’ participation behavior influenced brand equity of rural tourism destinations via hedonic enjoyment experience and perceived experience value.

This study focusing on agritourism as a critical platform of value cocreation explores the impact of agritourism experience value cocreation on brand equity of rural tourism destinations from the perspective of tourists. It enriches the existing literature on the relationship between value cocreation and brand equity of tourism destination, expands the research on value cocreation and happiness experience and also provides management basis for promoting brand equity of rural tourism destinations.

价值共创已成为提升旅游目的地品牌资产的重要途径。与一般的旅游情境不同, 农业旅游具有强烈的参与性和生产性特征, 被视为价值共创的重要平台。因此, 本文基于游 客视角探讨了农业旅游体验价值共创与乡村旅游目的地品牌资产之间的内在关系。

本文于2021 年实施问卷调查, 随机抽取602 份有效问卷。结构方程模 型用于实证分析数据。

游客参与、互动和公民行为对乡村旅游目的地品牌资产具有关键作用。同时, 游客互动和公民行为通过享乐型和实现型体验以及感知体验价值影响乡村旅游目的地品牌 资产。游客参与行为通过享乐型体验和感知体验价值影响乡村旅游目的地品牌资产。

本研究将农业旅游作为价值共创的重要平台, 基于游客视角探讨了农业旅游 体验价值共创对乡村旅游目的地品牌资产的影响, 丰富了价值共创与旅游目的地品牌资产 关系的文献, 拓展了价值共创与快乐体验的研究, 为促进乡村旅游目的地品牌资产提供了 管理依据。

La cocreación se ha convertido en una forma importante de mejorar el valor de marca de un destino turístico. A diferencia de los entornos turísticos comunes, el agroturismo tiene fuertes características participativas y productivas, y se considera una plataforma indispensable de cocreación de valor. Este artículo explora la relación entre la cocreación de valor de la experiencia de agroturismo y el valor de marca de los destinos de turismo rural desde la perspectiva de los turistas.

Se realizó una encuesta y se recogieron 602 cuestionarios válidos mediante un muestreo aleatorioa en 2021. Se utilizó un modelo de ecuaciones estructurales para analizar empíricamente los datos.

Los resultados revelaron que la participación e interacción de los turistas y los comportamientos de la ciudadanía juegan un papel crítico en el valor de marca de destinos de turismo rural. La interacción de los turistas y los comportamientos de la ciudadanía impactaron el valor de marca de destinos de turismo rural a través del disfrute hedónico, la experiencia eudaimonia y el valor percibido de la experiencia. El comportamiento de participación de los turistas influyó en el valor de marca de los destinos de turismo rural a través de la experiencia hedónica de disfrute y el valor percibido de la experiencia.

Este estudio, centrado en el agroturismo como plataforma importante para la cocreación de valor, explora el impacto de la cocreación de valor de la experiencia de agroturismo en el valor de marca de destinos de turismo rural desde la perspectiva de los turistas. Enriquece la literatura existente sobre la relación entre la cocreación de valor y el valor de marca de los destinos turisticos, expande la investigación sobre la cocreación de valor y la experiencia de felicidad, y ofrece también bases de gestión para promover el valor de marca de destinos de turismo rural.

As the core technology of blockchain, various consensus mechanisms have emerged to satisfy the demands of different application scenarios. Since determining the security, scalability and other related performance of the blockchain, how to reach consensus efficiently of consensus mechanism is a critical issue in the blockchain.

The paper opted for a research overview on the blockchain consensus mechanism, including the consensus mechanisms' consensus progress, classification and comparison, which are complemented by documentary analysis.

This survey analyzes solutions for the improvement of consensus mechanisms in blockchain that have been proposed during the last few years and suggests future research directions around consensus mechanisms. First, the authors outline the consensus processes, the advantages and disadvantages of the mainstream consensus mechanisms. Additionally, the consensus mechanisms are subdivided into four types according to their characteristics. Then, the consensus mechanisms are compared and analyzed based on four evaluation criteria. Finally, the authors summarize the representative progress of consensus mechanisms and provide some suggestions on the design of consensus mechanisms to make further advances in this field.

This paper summarizes the future research development of the consensus mechanisms.

In the context of China’s efforts to build world-class enterprises through mixed-ownership reform, this study aims to build an agency theory framework to analyze the differential relation between ownership structure and firm performance in majority versus minority state-owned enterprises (SOEs). It also evaluates the differential influence that political connectedness has on firm performance in the two types of SOEs.

Using a panel data set of Chinese state-controlled mixed-ownership enterprises covering the period 2010–2019, this paper uses ordinary least squares, random-effects, fixed-effects and three stage least squares regression analysis to study the differential impact of ownership structure and political connectedness on firm performance in majority versus minority SOEs.

In minority SOEs, firm performance is positively related to the ownership share of the largest private shareholder and state ownership positively moderates this relation. Furthermore, minority SOEs with a politically connected chairman perform worse than those with a politically connected chairman. In majority SOEs, there is no relation between the ownership share of the largest private shareholder and firm performance. In addition, majority SOEs with a politically connected chairman perform similar to those without a politically connected chairman.

The theoretical framework demonstrates that agency problems are substantially different in minority versus majority SOEs and that this influences how changes in ownership structure and in the type of chairman that is assigned affect firm performance. The empirical analysis confirms these predictions.

The purpose of this study was to measure the innovative performance of a managed and owned mainland Chinese family business. The objective of the study was to assist an inheritor and/or successor of a family business and to find management problems in innovative activity.

To improve the innovative technical efficiency (TE) of the business, the study offers methods that enhance the allocation of resources to provide outcomes that improve the core competitiveness of the business and realize the sustainable development of the business. Innovation performance is a well-organized and efficient way of turning innovation input into innovation output. Human input, research and development expenditures measure innovation input. Patent output and other outputs, which include total labor productivity and asset liability ratios, measure innovation output. To complete the study’s task, the innovative performance of 46 Chinese listed family run and owned businesses were evaluated based on the data envelopment analysis and the Banker, Charnes and Cooper model.

The results of the study show that the overall TE of innovation in a Chinese family run and owned business is low and that the returns to scale of most such businesses is decreasing, and furthermore, that the overall innovation performance of is low.

The implications from the study further suggest that for business efficiency and increased profit a beneficiary of a Chinese family-owned business should optimize the firm’s size and resource allocation.