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This study investigates the effect of ownership structure – ownership concentration and firm ownership – on outward foreign direct investment (OFDI) by emerging market multinational enterprises (EMNEs), and further explores the moderating effects of international experience and migrant networks on this relationship.

Data of Chinese MNEs listed on Shenzhen and Shanghai stock exchanges between 2005 and 2016 are used. The empirical analysis is based on the negative binomial regression model.

The empirical results reveal a significant inverted-U relationship between ownership concentration and OFDI by EMNEs. State ownership is found to have a positive effect on OFDI by EMNEs. Both international experience and migrant networks strengthen the inverted-U relationship between ownership concentration and OFDI as well as the positive effect of state ownership on OFDI by EMNEs.

EMNEs need to maintain a moderate ownership concentration when conducting OFDI, and they are supposed to make full use of their own international experience and focus on migrant networks of the host country. Policy-makers in emerging economies need to better create a fair business environment for enterprises.

Combining agency theory and the resource-based view, this study integrates ownership structure, firm-level heterogeneous resources – international experience and country-level heterogeneous resources – migration networks into a framework to study OFDI by EMNEs, which expands the scope of research in international business.

This paper investigates the effect of business environment distance on innovation performance of emerging market multinational enterprises (EMNEs) and explores the mediating effect of absorptive capacity between the two, and it further analyzes the moderating effect of skilled migrants in the relationship between business environment distance and absorptive capacity.

An empirical analysis based on a fixed effect model is conducted using data of Chinese MNEs listed on the Shanghai and Shenzhen Stock that expand into developed markets from 2011 to 2018.

The results suggest business environment distance positively affects the innovation performance of EMNEs, and can enhance innovation performance by affecting absorptive capacity of EMNEs. In addition, skilled migrants strengthen the relationship between business environment distance and absorptive capacity of EMNEs.

Chinese MNEs should fully exploit business environment distance to acquire the technology needed for innovation activities, and strengthen absorptive capacity to maximize the benefits from innovation. Chinese government needs to strengthen the construction of skilled migrants to facilitate knowledge and technology transfer.

Combining springboard theory and institutional theory, this paper integrates macro and micro perspectives to explore whether and how business environment distance affects innovation performance of Chinese MNEs. The paper provides a good theoretical basis and important practical reference value for enhancing the technological innovation capability of Chinese MNEs and the overall technological innovation level of China.

This study investigates the effect of psychic distance (PD) on outward foreign direct investment (OFDI) by multinational firms originating in emerging economies and the moderating effect of firm heterogeneity on this relationship.

An empirical analysis based on a negative binomial regression model is conducted using OFDI data from 2008 to 2017 on companies listed on the Shanghai and Shenzhen Stock Exchanges in China, an emerging economy.

The results suggest a U-shaped relationship between PD and OFDI by firms in emerging economies. Both executive foreign experience and state ownership negatively moderate the U-shaped relationship between PD and OFDI.

Emerging economies should encourage and guide multinational firms in engaging in OFDI and emphasize the advantages and disadvantages of PD for multinational firms. Additionally, non-sate-owned firms should recruit those who have a foreign education to provide support for OFDI by firms in emerging economies. Multinational firms should determine investment locations by consulting with executives with foreign experience to improve their ability to engage in OFDI.

This study combines macro and micro perspectives and integrates PD and firm heterogeneity into the same model with a sample of multinational firms originating in China. The findings support the existence of a PD paradox, which helps to enriching the theory on foreign direct investment.

The topic of employees’ unethical pro-organizational behavior (UPB) has attracted more and more interest in both practice and academic fields. However, previous studies have mainly investigated the antecedents of UPB and little research has discussed the outcome variables. This study aims to provide a comprehensive understanding of the effect mechanism of UPB on employee performance evaluation rated by a supervisor through a leader-member exchange (LMX) and the moderating role of supervisor bottom-line mentality (BLM).

This study used a sample consisting of 304 employees and 96 supervisors in several manufacturing firms in China. The authors used hierarchical linear modeling to test the hypotheses, as this was cross-level research. In addition, this paper also uses Mplus7.4 to test the moderating effects of supervisor BLM on the indirect effects between the UPB and performance evaluation by a moderated path analysis.

The results confirm that UPB is positively related to performance evaluation rated by supervisors. Additionally, the mediating effect of LMX in the relationship between UPB and performance evaluation is successfully demonstrated. Furthermore, supervisor BLM cross-levelly moderates the relationship between UPB and LMX, as well as moderates the mediation effect of LMX on the correlation between UPB and performance evaluation.

The primary contribution of this research is building a cross-level model for the effect of UPB on followers’ performance evaluation scored by the supervisor and thereby extending the nomological networks of both UPB and performance evaluation literature. Another contribution the study makes to the literature is that it provides a new perspective to understand how UPB relates to followers’ performance evaluation.

This is the first study about how and when UPB predicts followers’ performance evaluation rated by the supervisor.

Recent tourism research has adopted social media analytics (SMA) to examine tourism destination image (TDI) and gain timely insights for marketing purposes. Comparing the methodologies of SMA and intercept surveys would provide a more in-depth understanding of both methodologies and a more holistic understanding of TDI than each method on their own. This study aims to investigate the unique merits and biases of SMA and a traditional visitor intercept survey.

This study collected and compared data for the same tourism destination from two sources: responses from a visitor intercept survey (n = 1,336) and Flickr social media photos and metadata (n = 11,775). Content analysis, machine learning and text analysis techniques were used to analyze and compare the destination image represented from both methods.

The results indicated that the survey data and social media data shared major similarities in the identified key image phrases. Social media data revealed more diverse and more specific aspects of the destination, whereas survey data provided more insights in specific local landmarks. Survey data also included additional subjective judgment and attachment towards the destination. Together, the data suggested that social media data should serve as an additional and complementary source of information to traditional survey data.

This study fills a research gap by comparing two methodologies in obtaining TDI: SMA and a traditional visitor intercept survey. Furthermore, within SMA, photo and metadata are compared to offer additional awareness of social media data’s underlying complexity. The results showed the limitations of text-based image questions in surveys. The findings provide meaningful insights for tourism marketers by having a more holistic understanding of TDI through multiple data sources.

Bridge plans are a complicated grey system. It depends on various natural and social factors. The purpose of this paper is to provide a scientific method for optimization of bridge construction plan.

Grey relational analysis (GRA) is completely new analysis method has been proposed in the grey system theory. Grey relational order can be used to describe the relation between the related factors based on data series rather than linear relation and typical distribution. First, this paper describes the basic steps and formulae of GRA. Then provides an example to show how to select best bridge construction plan with the method. Specially discusses significant influence of weight selection on decision making for a bridge plan.

The optimization of bridge construction plan will be selected more reasonable and more objective with the method GRA.

This paper will be further studied on how to quantify indicators more objectively and how to decide weight factor more reasonably.

It has significant practical value to apply GRA to optimization of bridge plans and other engineering projects.

A scientific method‐GRA has been applied to the selection of bridge plans for seeking the best comprehensive result.

This study explored preservice and in-service early childhood teachers' online academic learning beliefs and strategies.

Two hundred preservice and in-service teachers respectively from Taiwan participated in this research. A focus group discussion was carried out concerning the development of the questionnaires. The exploratory and confirmatory factor analysis confirmed good construct validity and reliabilities of the survey.

The survey results showed that in-service teachers generally held more sophisticated learning beliefs than the preservice teachers in all scales. Also, in-service teachers responded with a higher level of online academic learning strategies than the preservice teachers did. Regarding their online experiences, preservice teachers who spent an appropriate amount of time online had more positive beliefs than those with excessive online experiences. However, preservice teachers did not reveal employment of their ICT literacy in their online academic learning strategies. It was found that those in-service teachers with more online learning experience also showed higher levels of online academic learning beliefs. They used more deep strategies in their online academic learning.

The findings of this study could provide insights for the development of online academic learning ability in preschool teacher training programs.

(1) In-service teachers generally held more sophisticated learning beliefs than the preservice teachers. (2) Preservice teachers who spent an appropriate amount of time online had more positive beliefs than those with excessive online experiences. (3) Preservice teachers did not reveal employment of their ICT literacy in their online academic learning strategies. (4) In-service teachers with more online learning experience also showed higher levels of online academic learning beliefs. They used more deep strategies in their online academic learning.

Persistent change has placed considerable pressure on organizations to keep up or fade into obscurity. Firms that remain viable, or even thrive, are staffed with decision-makers who capably steer organizations toward opportunities and away from threats. Accordingly, leadership development has never been more critical. In this chapter, the authors propose that leader development is an inherently dyadic process initiated to communicate formal and informal expectations. The authors focus on the informal component, in the form of organizational politics, as an element of leadership that is critical to employee and company success. The authors advocate that superiors represent the most salient information source for leader development, especially as it relates to political dynamics embedded in work systems. The authors discuss research associated with our conceptualization of dyadic political leader development (DPLD). Specifically, the authors develop DPLD by exploring its conceptual underpinnings as they relate to sensemaking, identity, and social learning theories. Once established, the authors provide a refined discussion of the construct, illustrating its scholarly mechanisms that better explain leader development processes and outcomes. The authors then expand research in the areas of political skill, political will, political knowledge, and political phronesis by embedding our conceptualization of DPLD into a political leadership model. The authors conclude by discussing methodological issues and avenues of future research stemming from the development of DPLD.

Construction and demolition waste (CDW) continuously causes environmental and social problems. These formidable challenges lead to sustainable issues and are an increasingly urgent issue worldwide. Prior studies have neglected to link the triple bottom line (TBL) to a reliable estimation or empirical model for estimating CDW production performance and lack empirical sensitivity analysis in profit maximization. This study proposes an attribute analysis to build a cost–benefit analysis (CBA) to obtain profit maximization.

This study uses fuzzy set theory to develop a cost and benefit analysis (CBA) model to assess the sensitivity analysis in terms of its performance on addressing the environmental, economic and social aspects. The model is used to weigh the sum of benefits such as financial gain and total costs of actions taken to mitigate the negative impacts.

Based on the sensitivity analysis conducted, the environmental, economic and social mean scales were significantly changed, i.e. increased, and profits increased drastically. The results provide an insight into environmental legislation compliance, environmental investment and environmental impact as the cause attributes for the CDW recycling profit increase. The results prove that sensitivity analysis is viable to infer that a sustainable production performance can achieve more revenue and profit through an adequate selection of attributes regarding the TBL aspects to address the firm's uncertainty problem in multiple criteria analysis.

This study builds a CBA model to maximize profits for recycled CDW material by linking of environmental, economic and societal aspects for recycled CDW assessments. It considers a sustainability structure with criteria based on TBL aspects to assess production performance to realize the Sustainable Development Goals and presents fuzzy set theory and sensitivity analysis to solve the uncertainty problem in the construction industry.

The purpose of this study is to examine the impact of technological diversification (TD) on enterprise innovation performance, meanwhile focusing on the moderating effects of various organizational slack (i.e. absorbed and unabsorbed slack) and ownership types (i.e. state-owned or privately-owned) in the context of Chinese listed firms.

This study formulates five hypotheses based on organization and agency theories. Our empirical analysis employs a fixed-effect regression estimator with a unique panel dataset of Chinese-listed manufacturing firms and 13,566 firm-year observations over 9 years from 2012 to 2020.

Our findings show that an inverted U-shaped relationship exists between TD and innovation performance, varying with different types of organizational slack and ownership. In state-owned enterprises (SOEs), unabsorbed slack negatively moderates the inverted U-shaped relationship; however, in privately-owned enterprises (POEs), this relationship is positively moderated. Although absorbed slack has negative moderating effects in both SOEs and POEs, its impact is only significant for POEs.

Our results imply that organizational slack has a contrasting impact on the relationship between TD and innovation performance when the type of ownership varies. Therefore, the managers that intend to achieve optimal innovation performance through TD should understand how organizational slack can be leveraged.

This study contributes to the existing literature by applying the relationship between TD and innovative performance to the transition economy, as well as examining the double-edged sword impact of state ownership on firm innovation performance.