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This paper aims to investigate whether family CEOs benefit investment efficiency under uncertainty with Chinese family firms and to test the moderating effect of ownership structure, including family ownership, the separation of family control from family ownership and the multiple large shareholder structure.

Fixed-effects models are designed for a sample of 5,734 firm-year observations for Chinese family firms from 2009 to 2014.

The results show that investment efficiency is low under uncertainty, and having family CEOs can reduce this negative relationship. Further analysis reveals that for firms with family CEOs, the negative effect of uncertainty on investment efficiency is weaker when the family has higher ownership, when family control is less separated from family ownership, or when family firms have multiple large shareholder structures.

The authors do not distinguish founder-CEOs and descendant-CEOs. Most of Chinese family firms are still managed by founders, so the authors cannot explore the generation effect although different generations manage firms differently. Because family succession is becoming a more and more important problem in China, further research may be able to explore the generation effect.

This paper suggests that in emerging economies with weak investor protection, outside minority shareholders can avoid expropriation from family owners by investing in firms with large family ownership, little separation of family control from ownership or multiple large shareholder structure. In addition, policymakers can encourage institutional investors to participate in family business to improve corporate governance.

Drawing on both Type I and Type II agency theory perspectives, the authors argue that although family CEOs can generally benefit firms’ investment efficiency, the benefits vary with firms’ ownership structure. In other words, family CEOs are not absolute agents or stewards but some extent of combination of both.

This paper aims to examine the relationship between social presence and consumer purchase intention in the context of livestreaming commerce and test the mediating role of immersive experience and the moderating role of positive emotions.

The authors used a convenience sampling method to select 408 college students from a university in Ganzhou as the participants. They employed structural equation modeling to test the hypotheses, as well as Hayes' PROCESS to test the mediation and moderation effects.

The authors found that immersion experiences partially mediate the relationship between social presence and consumers' purchase intentions and positive emotions moderate the “social presence–immersion experience–consumer purchase intentions” path. Therefore, social presence constitutes a moderating mediating effect on consumer purchase intentions.

This study offers meaningful insights into how livestreamers and e-retailers can stimulate consumers' buying behavior in livestreaming environments. E-commerce platforms should strengthen consumer interactions and increase consumers' perceptions of social presence. In addition, companies should meet the social and psychological needs of consumers and generate positive emotional resonance.

This research sheds light on the effect of social presence on consumer purchase intentions in livestreaming commerce and extends the social presence literature by investigating the mediation mechanism of immersive experience.

In recent years, both academics and institutions have acknowledged the crucial role multinational enterprises (MNEs) can play in addressing the sustainability challenges, as formalized by the sustainable development goals (SDGs). Nevertheless, because of their extensiveness and their design as country-level targets, SDGs have proven challenging to operationalize at a firm level. This problem opens new and relevant avenues for research in international business (IB). This chapter attempts to frame the topic of extended value chain sustainability in the IB literature. In particular, it addresses a specific topic, that is, how sustainability and resilience-building practices interact in global value chains (GVCs). To do so, the present study develops the case of STMicroelectronics (ST), one of the biggest semiconductor companies worldwide.

The purpose of this study is to examine the usefulness of derivative disclosures from the perspective of Chinese institutional investors in relation to their investment decision-making.

This study uses semi-structured interviews with 21 institutional investors based in China including 10 funds managers and 11 professional analysts.

This study finds that the information on the use of derivatives disclosed by listed companies in China is generally perceived to be useful to Chinese institutional investors (e.g. funds managers and professional analysts) in facilitating their investment decisions, although such information is generally thought to be less significant compared to other fundamental financial information such as assets, liabilities and profits/losses. It also finds that the current provisions of derivatives-related information by Chinese listed companies are largely unsatisfied primarily because of insufficient information and the lack of timely disclosures. Furthermore, it finds that the accounting and reporting policies currently imposed in China appear to be little understood by Chinese investors.

This study has its own limitations due to the approach of interviews with a relatively small sample from only two investment firms in China.

The findings from the study provide a number of policy implications for derivatives regulators and accounting standards setters.

This study is the first study of its kind to investigate the perceptions of Chinese institutional investors on the usefulness of derivatives reporting and disclosures with the use of interview research method.

Environmental issues have become an important concern in modern supply chain management. The structure of closed-loop supply chain (CLSC) networks, which considers both forward and reverse logistics, can greatly improve the utilization of materials and enhance the performance of the supply chain in coping with environmental impacts and cost control.

A biobjective mixed-integer programming model is developed to achieve the balance between environmental impact control and operational cost reduction. Various factors regarding the capacity level and the environmental level of facilities are incorporated in this study. The scenario-based method and the Epsilon method are employed to solve the stochastic programming model under uncertain demand.

The proposed stochastic mixed-integer programming (MIP) model is an effective way of formulating and solving the CLSC network design problem. The reliability and precision of the Epsilon method are verified based on the numerical experiments. Conversion efficiency calculation can achieve the trade-off between cost control and CO₂ emissions. Managers should pay more attention to activities about facility operation. These nodes might be the main factors of costs and environmental impacts in the CLSC network. Both costs and CO₂ emissions are influenced by return rate especially costs. Managers should be discreet in coping with cost control for CO₂ emissions barely affected by return rate. It is advisable to convert the double target into a single target by the idea of “Efficiency of CO₂ Emissions Control Reduction.” It can provide managers with a way to double-target conversion.

We proposed a biobjective optimization problem in the CLSC network considering environmental impact control and operational cost reduction. The scenario-based method and the Epsilon method are employed to solve the mixed-integer programming model under uncertain demand.

This chapter proposes a multiobjective model to design a Closed Loop Supply Chain (CLSC) network. The first objective is to minimize the total cost of the network, while the second objective is to minimize the carbon emission resulting from production, transportation, and disposal processes using carbon cap and carbon tax regularity policies. In the third objective, we maximize the service level of retailers by using maximum covering location as a measure of service level. To model the proposed problem, a physical programming approach is developed. This work contributes to the literature in designing an optimum CLSC network considering the service level objective and product substitution.

Deployment of knowledge management systems (KMSs) suffers from low adoption in organizational reality that is attributed to a lack of perceivable added value for people in actual work situations. Poor task/technology fit in the process of knowledge retrieval appears to be a major factor influencing this issue. Existing research indicates a lack of re-contextualizing stored information provided by KMSs in a particular situation. Existing research in the area of organizational memory information systems (OMISs) has thoroughly examined and widely discussed the topic of re-contextualization. The purpose of this paper, thus, is to examine how KMS design can benefit from OMIS research on approaches for re-contextualization in knowledge retrieval.

This paper examines OMIS literature and inductively derives a categorization scheme for KMS according to their strategy of re-contextualizing knowledge. The authors have validated the scheme validated in a multiple case study that examines the differentiatory value of the scheme for approaches with various re-contextualization strategies.

The classification scheme allows a step-by-step selection of approaches for re-contextualization of information in KMS design and development derived from OMIS research. The case study has demonstrated the applicability of the developed scheme and shows that the differentiation criteria can be applied unambiguously.

Because of the chosen case study approach for validation, the validation results may lack generalizability.

The scheme enables an informed selection of KMSs appropriate for a particular OMIS use case, as the scheme’s attributes serve as design rationale for a certain architecture or constellation of components. Developers can not only select from various approaches when designing re-contextualizaton but also come up with rationales for each candidate because of structured representation. Hence, stakeholders can be supported in a more informed way and design KMSs more effectively along organizational change processes.

The paper addresses an identified need for systematic characterization of KMS approaches and systems intending to meet the objectives of OMISs. As such, it allows streamlining further research in this field, as approaches can be judged according to their originality and positioned relative to each other.

This study aims to identify the intellectual structures, current hotspots and research directions on rural tourism experience (RTE)–related fields from 1996 to 2021.

The authors collected 589 journal articles and reviews from the Web of Science Core Collection and Scopus database and analyzed them through VOSviewer and CiteSpace.

The results indicate a trend of gradual increase in RTE research, covering three main research themes. The most productive countries and institutions with RTE-related publications are mostly members of the European Union. However, the Asia-Pacific region is growing in RTE research and establishing influence. The author collaboration network and influential journals show the importance of the Malaysian authors and top travel journals. The discipline structure, critical articles and high-frequency keywords reflect the research hotspots and trends of RTE.

This study systematically reviews the RTE-related publications over the past 26 years. Accordingly, it can assist scholars gain a more comprehensive understanding of RTE research and acquire future research directions.

本研究的目的是确定 1996 年至 2021 年乡村旅游体验（RTE）相关领域的知识结构、当前热点和研究方向。

从 Web of Science (WOS) 核心合集和 Scopus 数据库中收集了总共 589 篇期刊文章和评论, 并通过 VOSviewer 和 CiteSpace 进行了分析。

结果显示 RTE 研究呈现逐渐增加的趋势, 涵盖三个主要研究主题。 RTE相关出版物最具生产力的国家和机构大多来自欧盟国家。然而, 亚太地区的 RTE 研究正在不断增长, 并建立了影响力。作者合作网络和有影响力的期刊显示了马来西亚作者和顶级旅游期刊的重要性。学科结构、重要文章和高频关键词都反映了RTE的研究热点和趋势。

本文系统回顾了过去 26 年来与 RTE 相关的出版物。从而有助于学者们对RTE研究有更全面的了解, 并获得未来的研究方向。

este estudio tiene como objetivo identificar las estructuras intelectuales, los hotspots actuales y las direcciones de investigación en los campos relacionados con la experiencia en turismo rural (RTE) de 1996 a 2021.

se recogieron 589 artículos y reseñas de revistas de la colección Web of Science (WOS) y la base de datos Scopus yse analizaron a través de VOSviewer y CiteSpace.

los resultados indican una tendencia de aumento gradual en la investigación de la RTE, que abarca tres temas principales de investigación. Los países e instituciones más productivos con publicaciones relacionadas con RTE son en su mayoría miembros de la Unión europea (UE). Sin embargo, la región Asia-Pacífico está creciendo en investigación RTE y estableciendo influencia. La red de colaboración de autores y las revistas influyentes muestran la importancia de los autores malasios y las principales revistas de viajes. La estructura de la disciplina, los artículos críticos y las palabras clave de alta frecuencia reflejan los hotspots de investigación y las tendencias de RTE.

este estudio revisa sistemáticamente las publicaciones relacionadas con RTE en los últimos 26 años. En consecuencia, puede ayudar a los académicos a obtener una comprensión más amplia de la investigación RTE y adquirir futuras direcciones de investigación.

Although digitalization in the workplace is burgeoning, tools are needed to facilitate personalized learning in informal learning settings. Existing knowledge recommendation techniques do not account for dynamic and task-oriented user preferences. The purpose of this paper is to propose a new design of a knowledge recommender system (RS) to fill this research gap and provide guidance for practitioners on how to enhance the effectiveness of workplace learning.

This study employs the design science research approach. A novel hybrid knowledge recommendation technique is proposed. An experiment was carried out in a case company to demonstrate the effectiveness of the proposed system design. Quantitative data were collected to investigate the influence of personalized knowledge service on users’ learning attitude.

The proposed personalized knowledge RS obtained satisfactory user feedback. The results also show that providing personalized knowledge service can positively influence users’ perceived usefulness of learning.

This research highlights the importance of providing digital support for workplace learners. The proposed new knowledge recommendation technique would be useful for practitioners and developers to harness information technology to facilitate workplace learning and effect organization learning strategies.

This study expands the scope of research on RS and workplace learning. This research also draws scholarly attention to the effective utilization of digital techniques, such as a RS, to support user decision making in the workplace.

Distribution network design involves a set of strategic decisions in supply chains because of their long-term impacts on the total logistics cost and environment. To incorporate a trade-off between financial and environmental aspects of these decisions, this paper aims to determine an optimal location, among candidate locations, of a new logistics center, its capacity, as well as optimal network flows for an existing distribution network, while concurrently minimizing the total logistics cost and gas emission. In addition, uncertainty in transportation and warehousing costs are considered.

The problem is formulated as a fuzzy multiobjective mathematical model. The effectiveness of this model is demonstrated using an industrial case study. The problem instance is a four-echelon distribution network with 22 products and a planning horizon of 20 periods. The model is solved by using the min–max and augmented ε-constraint methods with CPLEX as the solver. In addition to illustrating model’s applicability, the effect of choosing a new warehouse in the model is investigated through a scenario analysis.

For the applicability of the model, the results indicate that the augmented ε-constraint approach provides a set of Pareto solutions, which represents the ideal trade-off between the total logistics cost and gas emission. Through a case study problem instance, the augmented ε-constraint approach is recommended for similar network design problems. From a scenario analysis, when the operational cost of the new warehouse is within a specific fraction of the warehousing cost of third-party warehouses, the solution with the new warehouse outperforms that without the new warehouse with respective to financial and environmental objectives.

The proposed model is an effective decision support tool for management, who would like to assess the impact of network planning decisions on the performance of their supply chains with respect to both financial and environmental aspects under uncertainty.