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To understand the rationale for foreign direct investment of Chinese electronic companies, their location decisions and entry mode choices

Secondary data on foreign direct investment of the top 100 companies in China’s electronics industry are analysed. The first part covers an exploratory analysis of the industry and the second part presents a comparative longitudinal analysis of three case studies of representative companies: Haier, Huawei, and Lenovo.

The three key findings are: (1) market-seeking is the primary motivation for foreign direct investment of Chinese companies in the electronics industry, yet the strategic-asset-seeking gains importance as the internationalization of the company advances; (2) foreign investment path normally starts at adjacent foreign markets, but more distant markets are gradually targeted and become more important for the company; (3) wholly owned investments are the preferred market entry modes in the international expansion.

This research is based on secondary data, and more in-depth, interview-based studies are needed to explore the perceptions of decision-makers, and a plethora of contextual factors, which result in specific market entry decisions. As only the 100 largest companies were studied, future research should put under scrutiny also internationalization of smaller firms.

Implications of such findings are discussed in the light of classic internationalization theories as well as the current research on internationalization of companies from emerging/developing countries.

Provides an account of foreign direct investment in a context of a substantial and growing importance for the practice of international business, and identifies an agenda for promising future scholarly inquiries.

Technological developments have made it possible for organizations to use enterprise resource planning (ERP) services without indulging in heavy investments like IT infrastructure, trained manpower for implementation and maintenance and updating the systems regularly to maintain business competitiveness. Plug and play model offered by cloud ERP has led to a constant creation of large data sets which are structured, semi-structured and unstructured by nature. Thus, there has been a need to analyze such complex data sets and the purpose of this paper is to focus on how cloud ERP and big data predictive analytics (BDPA) will impact the performance of a firm.

A dynamic capability view (DCV) theory-based model was developed and the authors have collected data by using an online questionnaire from India. Thereafter, the authors have analyzed it by employing structural equation modeling.

SEM analysis of 231 respondents showcases that the use of DCV theory to define the relationships of cloud ERP and BDPA has been the right move. Out of the 13 hypotheses empirically tested, only 7 hypotheses were supported by the data.

The study showcases cross-sectional data from India. It would be interesting for this study to see if the country-level differences would influence these relationships between cloud ERP and financial performance, BDPA and financial performance and cloud ERP and BDPA.

This study empirically tests the relationship of cloud ERP and BDPA through a model based on DCV theory.

The purpose of this paper is to establish a more reasonable evaluation system and model for the development level of rural tourism, and provides a method for quantifying the development level of regional rural tourism.

This paper provides a method for evaluating the development level of rural tourism, constructs an evaluation index system according to the connotation of rural tourism, then calculates the index weight by entropy method, and makes a comprehensive evaluation by grey relational analysis. Taking the development of rural tourism in 11 cities in Jiangxi Province as the research object, the ranking results of 11 cities were obtained by using grey relational analysis.

The overall development level of rural tourism in Jiangxi Province is positive, but the spatial distribution is uneven, showing the characteristics of “low-level aggregation and high-level dispersion”. The barrier model diagnoses that the degree of financial input is the biggest constraint to the development level of rural tourism in Jiangxi Province.

This study puts forward an evaluation model based on entropy weight and grey relational analysis, which is an important supplement to the grey relational analysis method system and has a positive role in promoting the quantitative evaluation of regional rural tourism level.

Reducing employees’ knowledge hiding is vital for enterprise managers. The development of enterprise social media brings opportunities for them to manage employees’ knowledge-hiding behaviors. However, whether the use of enterprise social media inhibits or promotes knowledge hiding is still unclear. The purpose of this study is to explore how enterprise social media usage affect employees' knowledge hiding.

Based on the intrinsic and extrinsic motivation model, this paper proposes a research model to investigate the relationship between enterprise social media usage and knowledge hiding, using a structural equation modeling analysis of 288 employees’ data.

The results show that work-related public social media usage has an inhibiting effect on employees’ knowledge hiding, whereas the effect of work-related private social media usage on employees’ knowledge hiding is not significant; socially related public social media and private social media usage has a promoting effect on employees’ knowledge hiding; and job engagement acts in a positive moderating role between socially related private and public social media usage and evasive hiding.

First, this paper contributes to knowledge-hiding literature by revealing the relationship between enterprise social media usage and knowledge hiding. Second, this study contributes to motivation theory by clarifying how the use of enterprise social media with different motivations affects knowledge hiding. Third, this paper also contributes to knowledge-hiding literature by revealing a boundary condition, namely, job engagement.

The purpose of this paper is to investigate the track evolution and surface characteristics of selective laser melting Ti₆Al₄V.

In the present paper, Ti₆Al₄V single-track, multi-track and bulk sample were formed at different scanning speed by selective laser melting (SLM). Then, the surface morphology, three-dimension profile and surface roughness were evaluated. The width of the single and multi-track was measured and compared.

The results showed that the heat accumulation played a great role on the evolution of tracks and surface characteristics from single-track to multi-track and to bulk. The surface morphology of the subsequent tracks became more regular when the single-track was irregular at the same high scanning speed. The width of last track Wn was always larger than that of the first track W1. The Ra of the top of the bulk increased with the increase of the scanning speed, this trend was as same as the Ra of the single-track, but the trend of Ra of the side was opposite.

The effect of heat accumulation on the track evolution and surface characteristics is obtained. The results can help to derive a smooth surface with a regular and continuous track in SLM.

This paper aims to explore the evolution mechanism of resources in a standard alliance that are matched with resources required at different standardization stages from the viewpoint of dynamic matching. How core enterprises in an alliance allocate resources, select member enterprises and maintain the normal operation of an alliance, according to the resource evolution of a standard alliance, is an important issue when dealing with the implementation of technology standardization.

The authors have chosen the Intelligent Grouping and Resource Sharing (IGRS) standard alliance of computer companies in China as the object of this study. The authors have built indices to identify core enterprises in the alliance from the viewpoint of network organization. The authors also collected data from authoritative news websites concerning patents and cooperative projects undertaken by 216 enterprises in the IGRS alliance during the period from 2002 to 2016, and they have computed and analyzed these data by using UCINET 6.0 software and social network analysis methodology to identify core enterprises at different standardization stages, thus revealing the evolution mechanism for resources in the standard alliance.

Technology standardization is divided into R&D, industrialization and marketization stages, and the standard alliance requires different resources to satisfy what is required at each of those different standardization stages. While technology standardization is a process during which technology systems standards are continuously being perfected and the standard product market is continuously expanding, the development of technology standardization affects the evolutionary processes of the core enterprises and affects the selection of member enterprises in the standard alliance.

The results obtained will assist the standard alliance to select proper member enterprises and dynamically match the alliance’s resources with the resources required at different standardization stages to speed up the implementation of independent standardization in China.

This study demonstrates the evolution mechanism of resources in technology standard alliances at different standardization stages by using quantitative analysis methodology, and it enriches the research on which elements are influential for technology standardization’s development in the context of China’s social, economic and cultural characteristics.

This study aims to explore the overall relationship between a boundary spanner and a partner firm, i.e. boundary spanner closeness to partner firm. Drawing on consumer-service provider relationship literature and the tripartite model of affect-behavior-cognition, the authors identify three key dimensions of such closeness, namely, boundary spanners’ relational ties, customer-specific capabilities and accommodative behaviors, and examine their effects on exchange outcomes in turbulent versus stable environments.

The paper examines the effects of three dimensions of boundary spanner closeness on various exchange outcomes (i.e. retailers’ cooperation, satisfaction and willingness for investment) using two industries as exemplars, characterized by distinct levels of environmental turbulence – the retailing networks of a major cell phone company and a petroleum company in China.

The results indicate that the three dimensions individually and jointly affect exchange outcomes and the interplay of customer-specific capabilities and relational ties affect exchange outcomes differently across industry turbulence.

The existing literature lacks a comprehensive understanding of the function of boundary spanners, which serve as a key relational interorganizational governance component. By identifying three key dimensions of boundary spanner closeness and examining their effectiveness in promoting exchange outcomes, this study advances the understanding of the role of boundary spanners in interorganizational governance.

The purpose of this paper is to explore the determinants of entrepreneurs’ subjective social status perception (SSP) on firm international behaviors based on the upper echelons theory and social class theory.

To test the hypotheses, the authors studied a large sample of 10,823 small- and medium-sized private Chinese enterprises from 2006 to 2014.

The results showed that entrepreneurs with higher status perception prefer international activity and firms have higher export intensity and intention. In addition, the social capital of entrepreneurs and institutional environment amplifies the positive relationship between SSP and international behavior.

This paper contributes to research on the upper echelon of management and extends our understanding of how managerial social characteristics influence international strategic decision-making. Besides, it also contributes to the emerging stream of social status research in international expansion studies and expand researchers’ limited understanding of the effects of social status in business settings.

The development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on collaborative innovation performance (CIP) in megaprojects is not a simplistic linear relationship but an iterative and non-linear relationship that requires a dynamic perspective to analyze. Therefore, this paper adopts the system dynamic (SD) approach to investigate the dynamic and interactive relationships between the CIP and the influencing factors.

The study first develops a research framework with the system boundary of “CIP system – organizational collaboration subsystem – knowledge collaboration subsystem – strategic collaboration subsystem”. Then, the causal relationship model, the stock-flow model, and the mathematical equations were determined based on the literature review and the expert interviews. Finally, five performance improvement scenarios were designed according to the practice context of CIP in megaprojects, and simulations were performed using the Vensim PLE software to investigate the CIP from a dynamic perspective.

The findings reveal that the effect of different influencing factors on CIP grows non-linearly, with the cumulative effect becoming more pronounced as time advances. The incentive mechanism has the most significant effect, and the combined effect of multiple influencing factors has a highly significant facilitating effect on improving CIP. Strategic collaboration, organizational collaboration and knowledge collaboration are mutually conditional and reinforcing with each other, which ultimately promotes the improvement of CIP.

This study uncovers the inherent pattern and the interactive dynamic mechanism of factors for improving CIP in the context of megaprojects. It enriches the theoretical research in the area of collaborative innovation in megaprojects and provides practical management strategies for improving CIP.