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The purpose of this paper is to compare women entrepreneurship in China and Vietnam by examining the motivations, success factors and problems related to establishing women-owned businesses.

The sample in this study consisted of 170 women entrepreneurs in Vietnam and 180 women entrepreneurs in China. The authors used the survey instrument developed by H.M. Chu (Chu and Katsioloudes 2001), which has been adopted in a number of small business studies since 2002. To determine whether there is a significant difference between the two countries regarding each factor of motivations, success factors and problems, the authors use the non-parametric Wilcoxon rank-sum test.

Women entrepreneurs are motived to earn more income in both China and Vietnam. Vietnamese businesswomen value intrinsic rewards such as gaining personal satisfaction and freedom. They also take business ownership as a way to reduce work–family conflict. Demonstrating the ability and gaining public recognition play a more important role when Chinese women entrepreneurs decide to establish their businesses. Both Chinese and Vietnamese women agree that good management skills are essential to achieve their goals. Women entrepreneurs in both countries share similar challenges, such as the inability to recruit and retain employees, severe competition, a weak economy and limited access to financial capital.

Given the nature of transitional economies in both countries, the government is required to improve the regulatory environment for protecting private sector employment and private property rights. Policies such as subsidies and tax incentives may assist the development of women enterprises. To support the sustainable growth of women businesses, it is suggested that the government should design effective programs that direct women entrepreneurs to move into high-growth or high-technology sectors. Training programs are also required to improve the knowledge and skills of women entrepreneurs. Making capital accessible to women is also important to stimulate entrepreneurial growth. As a further stimulus, governments should coordinate with financial institutions to provide low-cost loans or even venture capital to facilitate this process.

This study is among one of the first attempts to compare women entrepreneurship in the two transitional economies of Vietnam and China. It provides insight into motivations, success factors and problems that women entrepreneurs experienced by examining small business owners in Vietnam and China.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.

The purpose of this paper is to surface themes which may influence Chinese students’ decision making in relation to postgraduate study in international universities.

The study utilises a semi-structured qualitative interview methodology (n=15).

The main findings are discussed according to the following themes: financial and time costs; employment prospects; postgraduate education as a cultural adventure; linguistics; visa issues; admissions; climate; influence of referents; and academic image and reputation.

The sample size is small, yet affords greater depth of data and discussion.

The research offers practitioners in universities who are managing postgraduate recruitment of Chinese students, some greater understanding of the reasons behind prospective Chinese postgraduate students’ choice; from which they can evaluate the effectiveness of their institutions’ recruitment strategies.

Extant research has tended to report reasons why Chinese students study overseas, whereas this study offers deeper insight and exploration of the reasoning of Chinese international students in the postgraduate context. The research is of value given the importance of postgraduate Chinese students to international university recruitment.

Empirical results remain unclear as to whether organizational unlearning can improve radical innovation performance. The purpose of this study is to investigate how, and under which conditions, organizational unlearning influences firms’ radical innovation performance.

Drawing on the knowledge-based view, this study develops a theoretical model that hypothesizes a positive relationship between organizational unlearning and radical innovation performance, which is mediated by knowledge generation strategies. It also proposes that the impact of unlearning on knowledge generation strategies will be moderated by dysfunctional competition. Using survey data from 191 Chinese manufacturing firms, the hierarchical regressions were used to test the hypotheses.

The empirical results show that organizational unlearning not only impacts radical innovation performance directly, but also indirectly affects radical innovation performance through two distinct types of knowledge generation strategies: (internal) knowledge creation and (external) information searching. Moreover, dysfunctional competition plays a dual role, strengthening the positive relationship between organizational unlearning and information search and weakening the positive relationship between organizational unlearning and knowledge creation.

The present research broadens the understanding of how to promote radical innovation performance, which has great potential to improve the performance of firms on the market. Specifically, it deepens the knowledge of how organizational unlearning facilitates radical innovation performance by focusing on two distinct types of knowledge generation strategies as the crucial links, and enriches existing literature on the effectiveness of organizational unlearning in a dysfunctional competitive environment.

Practicing organizational unlearning for firms’ long-term success requires firms to develop and implement appropriate knowledge generation strategies in accordance with the characteristics of market competition in their operating environment.

This study offers new insights into how and under what conditions organizational unlearning affects radical innovation performance, enhancing the understanding of how organizational unlearning can be implemented to drive firm radical innovation.

This paper aims to clarify the relationship between digital transformation and labor structure from the perspectives of microenterprise business strategies and factor allocation efficiency. It attempts to address the gap in existing research by explaining the impact of digital transformation on multidimensional workforce structures and the positive effects of this structural adjustment on labor allocation efficiency. In addition, the study further explores the economic ramifications of digital transformation, clarifying the correlation between changes in labor force structure and enterprise human resource allocation, thus enhancing the employment mobility effects of digital innovation at the enterprise level.

In contrast to prior research, our approach uses text analytics to assess the internal labor structure, incorporating labor skill, position and age into the analytical framework. This approach yields a more comprehensive data set, shedding light on variations in multidimensional employment structures.

The paper asserts that digital transformation significantly influences labor structure changes, evidenced by increased proportions of high-skilled, non-routine and younger laborers, as well as decreased shares of low-skilled, routine and older-age workers. Furthermore, it captures internal labor structure impacts, influenced by enterprise size, ownership, industry density and regional digitization levels. Mechanism analysis indicates moderation of digital transformation effects on labor structure by innovative tasks, labor productivity and management shareholding.

The paper reveals the specific impact of corporate digital transformation on workforce structure, enriching the employment mobility effects of digital innovation at the enterprise level and providing theoretical support for the formulation and implementation of relevant policies.

First, this paper delves into the impact of digital transformation on the internal labor structure from a microlevel perspective, elucidating its mechanisms. Second, in contrast to prior research, it uses text analytics to assess the internal labor structure, incorporating labor skill, position and age into the analytical framework. This approach yields a more comprehensive data set, shedding light on variations in multidimensional employment structures. Lastly, the study investigates the economic ramifications of shifts in employment structures. The findings of this study furnish novel empirical evidence for the debate regarding whether digital transformation can indeed enhance labor allocation efficiency.

Although the handover stage is the key transition stage between the construction and operation, there is no critical overview of issues and research at the handover stage, hindering the achievement of sustainable development of buildings. Therefore, the purpose of this paper is to review the building handover-related issues and research in construction and facility management (FM) journals. The specific objectives of this study include: analyze the research trends and overview the handover-related publications; identify the major research topics on the handover of buildings; identify research gaps and propose future research directions.

This study opted for a four-step systematic review of papers from the well-known academic journals in the construction and FM respects.

The results first revealed the increasing research interest in the handover of buildings from the researchers. Moreover, the post-construction defects, poor information fidelity, poor interoperability between building information modeling (BIM) and FM technologies, and insufficient consideration of end users were identified as the most concerned challenges for a building handover. Furthermore, identifying and formalizing information requirements for handover, improving the handover process, and improving the interoperability between BIM and FM were solutions mostly emphasized by researchers.

As the first systematic review of building handover-related issues and research, this study is the building block for future research on this topic. The findings provide guidance for researchers in the construction and FM research community, and help them form useful collaboration for future research opportunities and find future research directions.

The identified significant challenges and potential solutions for a building handover could assist practitioners in making rational decisions on developing or adopting relevant technologies, and reshaping their management patterns and working processes. Moreover, the findings could be severed as evidence for policymakers to initiate policies, such as documents e-submission and timely updating BIMs, to achieve the vision of model-based project delivery.

This study contributed to the body of knowledge of sustainable development by providing a new insight to tackle the hindrance to the smooth transition from the construction to the operation.

A firm's geographic boundaries represent an important demarcation line when searching for new knowledge. Prior research on geographic search has generated conflicting results concerning its influence on firm innovation outcomes. The purpose of this study is to fill the gap by examining how and under which conditions geographic search affects firm radical innovation performance.

This study hypothesizes a positive association between a firm's geographic search and radical innovation performance, which is mediated by potential absorptive capacity (PAC). It further proposes that the influence of geographic search on PAC will be moderated by a firm's collaborative network. Drawing on a random sample of 286 Chinese manufacturing firms, the theoretical model is tested.

The study's results show a positive relationship between geographic search and radical innovation performance, which is partially mediated by PAC. Moreover, attributes of collaborative networks (i.e. diverse location of and strong relational ties with partners) are observed to enhance the positive effect of geographic search on PAC.

This paper advances the understanding of how and when firms can better capture the benefits of geographic search in the development of radical innovation.

From the dynamic capability perspective, the aim of this paper is to develop a conceptual framework for collaborative capability, including scanning, relational skills and adaptation and to test the impact of each dimension on the acquisition of technological and marketing knowledge from partners. The conceptual framework also suggests that these two types of knowledge acquisition have different impacts on new product development (NPD) creativity and speed.

This study builds a theoretical framework and tests it with survey data from 289 Chinese manufacturing firms.

Firms with strong collaborative capability are identified to gain better knowledge acquisition from their partners and achieve higher NPD performance. While acquired technological knowledge has a greater effect on NPD creativity than acquired marketing knowledge, the latter has a greater effect on NPD speed. In addition, these two types of knowledge acquisition form different mediating paths between collaborative capability and NPD performance.

This study not only underlines the important role of collaborative capability in facilitating knowledge acquisition, which in turn improves NPD performance, but also suggests that decision-makers should note the different roles of technological knowledge and market knowledge in influencing NPD performance.

These findings enrich the understanding of how firms enhance NPD performance by developing collaborative capability in a major emerging economy (i.e. China). In addition to demonstrating the differential effects of heterogeneous knowledge acquisition on NPD performance, different pathways of mediation through knowledge acquisition are also identified in the relationship between collaborative capability and NPD outcomes.

Whether shareholders’ involvement in management benefits the organization’s performance remains inconclusive. The purpose of this study is to reconcile the conflicting results by exploring whether and under which contexts shareholder involvement may impact firm innovation performance.

This study attempts to combine previous theoretical views (reactance and agency theories) to examine a curvilinear effect of shareholder involvement on firm innovation performance based on governance related to cost-benefit analysis. Drawing on data from 174 Chinese manufacturing firms, the hierarchical regressions were used to test the hypotheses.

The study finds that shareholder involvement has a U-shaped relationship with firm innovation performance. Moreover, ownership incentive strengthens the U-shaped relationship, while monitoring weakens it.

Examination of the U-shaped main effect of shareholder involvement and these contingent factors further explains the mixed empirical results concerning the link between shareholder activism and firm-level performance.

The purpose of this study is to examine the impact of social media affordances, specifically social engagement and social endorsement, on knowledge contribution in online Q&A communities. Building on self-determination theory, this research seeks to tackle the issue of under-provision of knowledge in these communities.

The study employs a sample collected from a popular social Q&A community in China and uses linear panel data models along with multiple robustness checks to test the research model.

The findings reveal that both social engagement and social endorsement have a positive effect on users' knowledge contribution to the online Q&A community. However, the impact of social engagement is mitigated by social endorsement.

This paper makes a valuable contribution to the field by filling the research gap on the role of social engagement behaviors and their interaction with social endorsement in online Q&A communities. The results provide insights into how social media affordances can be leveraged to enhance knowledge contribution in these communities.