Xiaofang Yao, Xiyue Wu and Dan Long
This paper aims to explore the impact mechanism of Chinese university students’ perceived entrepreneurial environment on their entrepreneurial tendency in the context of Chinese…
Abstract
Purpose
This paper aims to explore the impact mechanism of Chinese university students’ perceived entrepreneurial environment on their entrepreneurial tendency in the context of Chinese economic transition. In particular, the paper provides a reference for relevant departments to make policies and entrepreneurship educators to perfect the pedagogical design and curriculum development in entrepreneurship education programs.
Design/methodology/approach
The authors used questionnaires to collect data in Chinese universities via random sampling, and gained 729 valid questionnaires. Results from principal component analysis indicate that the scales have a good reliability. In particular, entrepreneurial attitude had three components. The hypotheses are tested by using Spearman correlation and multiple linear regression; the level of statistical significance of F-test was less than 0.05. Hence, multiple linear regression can be used in the analyses.
Findings
The study found that university students’ perceived social environment and economic environment have a positive influence on their entrepreneurial tendency, and entrepreneurial attitude is partially playing a mediating role between students’ perceived entrepreneurial environment and entrepreneurial tendency. However, students’ perceived policy environment has no significant impact on entrepreneurial tendency.
Originality/value
Environmental factors are often viewed as“gap fillers” in related studies, and mostly concentrated in the Western developed countries. This study attempts to fill the gaps in the context of Chinese economic transition.
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Paul C. Hong, Young Soo Park, Xiyue Deng and David W. Hwang
Cross-functional teams engage in developing platform projects which become the basis of many smaller projects. The purpose of this paper is to examine how project teams engage in…
Abstract
Purpose
Cross-functional teams engage in developing platform projects which become the basis of many smaller projects. The purpose of this paper is to examine how project teams engage in front-end plan formulation and backend work implementation. This paper shows the critical linkage role of platform product practices.
Design/methodology/approach
This study examines the conceptual framework and research model by using a survey questionnaire for the target respondents of product development managers from the USA and Korea. After refining processes, this study determines the items for each variable for the large-scale survey.
Findings
Results suggest that when heavy-manager and customers are jointly or separately involved with a project team for the formation of shared team purpose and mission, then there would be differences in terms of information quality, shared team purpose and mission and the project outcomes. If the primary roles of heavyweight leadership and customer involvement are to improve information quality in terms of reduction of uncertainty and equivocality, then the project team is empowered enough to work on the formation of shared team purpose and mission on their own. Platform product practices are a linkage between front-end planning and back-end work doing which guides more specific projects with shared purpose and performance goals.
Research limitations/implications
As the data collection was limited to the USA and Korea, generalizability across diverse contexts requires caution. However, the findings provide meaningful insight on how to manage projects in an environment of increasing complexity and ambiguity.
Practical implications
This study provides interesting insight into how project teams approach platform product development. Based on the empirical test, this study shows how cross-functional teams integrate front-end project plan formulation and back-end project work implementation. This study also presents how heavyweight manager and customer involvement addresses the front-end information challenges and influence platform product practices.
Originality/value
This study empirically tests the role of fuzzy front planning in impacting project team success. In particular, this study highlights the dynamic relationships between heavyweight managers and customer involvement, information quality (i.e. uncertainty and equivocality), and the nature of team purpose and mission which are all crucial for effective cross-functional teamwork.
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Xiyue Zheng, Fusheng Wang and Dongchao Zhang
The purpose of this study is to explore the influence of venture capital participation on corporate innovation and to assess how internationalization strategies (including both…
Abstract
Purpose
The purpose of this study is to explore the influence of venture capital participation on corporate innovation and to assess how internationalization strategies (including both the internationalization scope and speed) in mediating serve as intermediaries in the relationship between venture capital and corporate innovation.
Design/methodology/approach
Using hierarchical regression analysis, this research tests the hypothesized framework using survey data collected from 442 high-tech enterprises listed on the A-share markets in Shanghai and Shenzhen, China, spanning from 2010 to 2019.
Findings
The study reveals a non-linear (U-shaped) correlation between venture capital investment and innovation. This non-linear linkage is facilitated through the execution of enterprises’ strategies for international expansion. The primary finding suggests that venture capital participation positively influences the rapidity and extent of internationalization. Additionally, a U-shaped relationship is observed between corporate innovation and both the speed and scope of internationalization.
Originality/value
This document contributes insights into the micro-level mechanisms that explain the effects of venture capital and internationalization strategy on corporate innovation. The results offer multinational corporations practical guidance for executing their internationalization strategies effectively and fostering innovation.
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Xiyue Zheng, Fusheng Wang, Shiyu Liu, Han Wang and Dongchao Zhang
This paper aims to conduct an analysis of the influence of both the breadth and depth of outward foreign direct investment (OFDI) undertaken by Chinese high-tech listed companies…
Abstract
Purpose
This paper aims to conduct an analysis of the influence of both the breadth and depth of outward foreign direct investment (OFDI) undertaken by Chinese high-tech listed companies during the period spanning 2010–2019. The data pertaining to these companies was used as a research sample to analyze the effects of OFDI on radical innovation performance.
Design/methodology/approach
Hierarchical regression analysis was used to test the proposed models, using survey data collected from 442 high-tech companies in China.
Findings
The findings of this study indicate a curvilinear (i.e. U-shaped) relationship between the breadth/depth of OFDI and radical innovation performance. Additional analysis reveals that OFDI plays a role in facilitating innovation breakthroughs by enhancing the internal dynamic capabilities of companies. Moreover, it is observed that a well-established institutional environment in the host country of investment can positively moderate the relationship between OFDI breadth/depth and radical innovation performance.
Originality/value
This study proffers a significant contribution to the understanding of the crucial role played by OFDI from emerging economy companies in enhancing radical innovation performance. Moreover, it offers theoretical guidance for multinational companies aiming to foster innovation breakthroughs.
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Chong Wu, Zijiao Zhang, Chang Liu and Yiwen Zhang
This paper aims to propose a bed and breakfast (B&B) recommendation method that takes into account review timeliness and user preferences to help consumers choose the most…
Abstract
Purpose
This paper aims to propose a bed and breakfast (B&B) recommendation method that takes into account review timeliness and user preferences to help consumers choose the most satisfactory B&B.
Design/methodology/approach
This paper proposes a B&B ranking method based on improved intuitionistic fuzzy sets. First, text mining and cluster analysis are combined to identify the concerns of consumers and construct an attribute set. Second, an attribute-level-based text sentiment analysis is established. The authors propose an improved intuitionistic fuzzy set, which is more in line with the actual situation of sentiment analysis of online reviews. Next, subjective-objective combinatorial assignments are applied, considering the consumers’ preferences. Finally, the vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) algorithm, based on the improved score function, is advised to evaluate B&Bs.
Findings
A case study is presented to illustrate the use of the proposed method. Comparative analysis with other multi-attribute decision-making (MADM) methods proves the effectiveness and superiority of the VIKOR algorithm based on the improved intuitionistic fuzzy sets proposed in this paper.
Originality/value
Proposing a B&B recommendation method that takes into account review timeliness and user customization is the innovation of this paper. In this approach, the authors propose improved intuitionistic fuzzy sets. Compared with the traditional intuitionistic fuzzy set, the improved intuitionistic fuzzy set increases the abstention membership, which is more in line with the actual situation of attribute-level sentiment analysis of online reviews.
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Mian Zhang and Xiyue Ma
The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second…
Abstract
The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second, the authors link these phenomena to the contextualization of job embeddedness theory. To achieve the goal, the authors begin by introducing three macro-level forces (i.e., political, economic, and cultural forces) in China that help scholars analyze contextual issues in turnover studies. The authors then provide findings in the literature research on employee retention studies published in Chinese academic journals. Next, the authors discuss six indigenous phenomena (i.e., hukou, community in China, migrant workers, state-owned companies, family benefit prioritization, and guanxi) under the three macro-level forces and offer exploratory propositions illustrating how these phenomena contribute to understanding employee retention in China. Finally, the authors offer suggestions on how contextualized turnover studies shall be conducted in China.
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Qiang Yang, Jiale Huo, Hongxiu Li, Yue Xi and Yong Liu
This study investigates how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' purchasing and gift-giving behaviors and how broadcaster…
Abstract
Purpose
This study investigates how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' purchasing and gift-giving behaviors and how broadcaster popularity moderates social interaction-oriented content's effect on the two different behaviors in live-streaming commerce.
Design/methodology/approach
A research model was proposed and empirically tested using a panel data set collected from 537 live streams via Douyin (the Chinese version of TikTok), one of the most popular live broadcast platforms in China. A fixed-effects negative binomial regression model was used to examine the proposed research model.
Findings
This study's results show that social interaction-oriented content in broadcasters' live speech has an inverted U-shaped relationship with broadcast viewers' purchasing behavior and shares a positive linear relationship with viewers' gift-giving behavior. Furthermore, broadcaster popularity significantly moderates the effect of social interaction-oriented content on viewers' purchasing and gift-giving behaviors.
Originality/value
This research enriches the literature on live-streaming commerce by investigating how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' product-purchasing and gift-giving behaviors from the perspective of broadcast viewers' attention. Moreover, this study provides some practical guidelines for developing live speech content in the live-streaming commerce context.
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Yue Xi, Jiale Huo, Xinran Zhao, Yushi Jiang and Qiang Yang
Fear of missing out (FOMO) has become a common phenomenon on social media. This study aims to examine how FOMO influences consumer preferences for posting about identity-relevant…
Abstract
Purpose
Fear of missing out (FOMO) has become a common phenomenon on social media. This study aims to examine how FOMO influences consumer preferences for posting about identity-relevant products on social media.
Design/methodology/approach
In this research, three studies were conducted to explore the effects of FOMO in different real-life situations. Study 1 was conducted in a laboratory setting in China. Study 2 includes two experiments, one that was conducted in China and one in the USA. Study 3 was conducted in a workplace setting in China.
Findings
The results of Study 1 indicate that when consumers experience FOMO, they prefer to post about identity-relevant (vs functional) products to a greater extent than usual. Study 2 examines the role of self-esteem and identifies self-presentation and the avoidance of social attention as underlying mechanisms. Thus, consumers with high (or low) self-esteem tend to be more motivated to present themselves positively (or to avoid social attention) when experiencing FOMO. Furthermore, Study 3 reveals the moderating role of supportive interactions; that is, the interaction between FOMO and consumer self-esteem is most likely to exert an effect when consumers receive many supportive interactions.
Research limitations/implications
This research demonstrates that posting identity-relevant content on social media is a coping strategy that individuals may adopt when experiencing FOMO. Moreover, self-esteem can predict how individuals cope with FOMO by identifying self-presentation and avoidance of social attention as the mechanisms underlying effects. Although this research attempts to avoid interference from other factors between in the relationship FOMO and the control conditions, it seems possible that more socially relevant information may be presented in the FOMO condition.
Practical implications
Because FOMO can be manipulated and posting types can be predicted, this research provides important implications for brands on how to create or post content to better engage consumers.
Originality/value
This research supports the role of FOMO as a driver of on consumer posting preferences on social media.
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Sheng-Qun Chen, Ting You and Jing-Lin Zhang
This study aims to enhance the classification and processing of online appeals by employing a deep-learning-based method. This method is designed to meet the requirements for…
Abstract
Purpose
This study aims to enhance the classification and processing of online appeals by employing a deep-learning-based method. This method is designed to meet the requirements for precise information categorization and decision support across various management departments.
Design/methodology/approach
This study leverages the ALBERT–TextCNN algorithm to determine the appropriate department for managing online appeals. ALBERT is selected for its advanced dynamic word representation capabilities, rooted in a multi-layer bidirectional transformer architecture and enriched text vector representation. TextCNN is integrated to facilitate the development of multi-label classification models.
Findings
Comparative experiments demonstrate the effectiveness of the proposed approach and its significant superiority over traditional classification methods in terms of accuracy.
Originality/value
The original contribution of this study lies in its utilization of the ALBERT–TextCNN algorithm for the classification of online appeals, resulting in a substantial improvement in accuracy. This research offers valuable insights for management departments, enabling enhanced understanding of public appeals and fostering more scientifically grounded and effective decision-making processes.