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The purpose of this paper is to examine how the usage of enterprise social media (ESM) affects eventual employee turnover.

This study developed a theoretical model based on the proposition that different ESM usage behaviors (utilitarian use, hedonic use and social use) have different effects on employee turnover, and job type and job level can moderate the effect of ESM usage on turnover. The model was examined empirically using 1,791 employee samples from a large high-tech manufacturing enterprise deploying ESM.

The results indicate that the utilitarian and social use of ESM has negative effects on turnover, but the hedonic use of ESM has positive effects on turnover. Furthermore, for employees working in different job types and job levels, there are significant differences concerning the effect of ESM usage on their turnover.

ESM managers should encourage employees to use ESM for utilitarian needs and social support but restrict excessive use of ESM for leisure. In addition, different ESM use policies depending upon job types and job levels could be adopted to retain valuable employees.

Few studies have focused on how usage of ESM affects eventual employee turnover. Given the lack of theoretical research and empirical evidence, the authors developed a theoretical model and conducted an empirical study to fill the research gap.

High-speed railway (HSR) substantially affects tourism development, but this impact remains somewhat controversial. This study aims to explore the HSR–tourism nexus from the perspective of Chinese local governance. In the context of promotion tournament model in China, this study attempts to explain such controversy by including local leaders.

Based on a data set from 25 cities in China’s Yangtze River Delta region during 2005–2019, this study uses a panel data regression model to examine local leaders’ moderating role in the HSR–tourism nexus.

The tenure of local leaders has a significant moderating role in the impact of HSR implementation on tourism development. Furthermore, a shorter leaders’ tenure strengthens the boost to tourism development from HSR service.

This paper enriches theoretical framework of leaders’ tournament theory. In addition, this study provides a new perspective to understand the HSR–tourism nexus better. This study identifies the moderating role of local leaders in the HSR–tourism nexus and expands the mechanism research of HSR–tourism nexus, which helps to explain the controversy of the HSR–tourism nexus.

高速铁路（HSR）对旅游业的发展有很大的影响, 但这种影响仍有一定的争议性。本研究从中国地方治理的角度探讨了高铁-旅游之间的关系。在中国晋升锦标赛模式的背景下, 本研究试图通过将地方领导纳入其中来解释这种争论。

基于2005-2019年中国长江三角地区25个城市的数据集, 我们利用面板数据回归模型来研究地方官员在高铁-旅游关系中的调节作用。

地方官员的任期在高铁开通对旅游业发展的影响中起着重要的调节作用。此外, 较短的官员任期会加强高铁连通对旅游业发展的促进作用。

本文丰富了官员锦标赛理论的理论框架。此外, 我们的研究为更好地理解高铁与旅游的关系提供了一个新的视角。我们确定了地方领导人在高铁-旅游关系中的调节作用, 拓展了高铁-旅游关系的机制研究, 有助于解释高铁-旅游关系的争论。

El tren de alta velocidad (TAV) afecta sustancialmente al desarrollo del turismo, pero este impacto sigue siendo algo controvertido. Este estudio explora el nexo entre el TAV y el turismo desde la perspectiva de la gobernanza local china. En el contexto del modelo de torneo de promoción en China, este estudio intenta explicar dicha controversia incluyendo a los líderes locales.

Basándonos en un conjunto de datos de 25 ciudades de la región china del delta del río Yangtze durante el periodo 2005-2019, utilizamos un modelo de regresión de datos de panel para examinar el papel moderador de los líderes locales en el nexo entre el TAV y el turismo.

El mandato de los líderes locales tiene un papel moderador significativo en el impacto de la implementación del TAV en el desarrollo del turismo. Además, un mandato más corto de los líderes refuerza el impulso al desarrollo turístico del servicio de TAV.

Este trabajo enriquece el marco teórico de la teoría del torneo de líderes. Además, nuestro estudio proporciona una nueva perspectiva para entender mejor el nexo entre el TAV y el turismo. Identificamos el papel moderador de los líderes locales en el nexo TAV-Turismo y ampliamos la investigación del mecanismo de dicho nexo, lo que ayuda a explicar la controversia del nexo.

Sensorless passive lead-through programming (LTP) is a promising physical human-robot interaction technology that enables manual trajectory demonstrations based on gravity and friction compensation. The major difficulty lies in static friction compensation during LTP start-up. Instead of static friction compensation, conventional methods only compensate for Coulomb friction after the joint velocity exceeds a threshold. Therefore, conventional start-up external torques must overcome static friction. When the static friction is considerable, it is difficult for conventional LTP to start up and make small movements. This paper aims to decrease the start-up external torque and improve the small movement performance.

This paper reveals a novel usage of a high-gain position-loop in industrial robot applications aimed at sensitively detecting external torque during start-up. Then, the static friction is partly compensated by Coulomb friction to facilitate start-up. In addition, a detailed transition method between the proposed start-up and conventional passive LTP is proposed based on a finite state machine.

Experiments are implemented on the ROKAE XB4 robot to verify the effectiveness of the proposed external torque detection. Compared with the conventional LTP method, the proposed LTP method significantly decreases the start-up external torque and facilitates small movements.

This paper proposes and verifies a novel start-up method of sensorless LTP based on a start-up external torque detection and a transition method between start-up and conventional LTP. This research improves the LTP start-up performance, especially for industrial robots with large static friction.

The purpose of this paper is to develop a double mechanism model to separate two foreign direct investment (FDI) intra-industry spillovers mechanisms: spillovers by FDI intensity and by FDI efficiency. This paper seeks to illustrate the potential use of the double mechanism model rather than provide precise estimates of spillovers. The evidence on the links between technology and the nature, size and mechanisms of FDI spillovers effects in economically developing countries is mixed.

A model is developed and tested, in principle. Empirical testing was conducted in two steps. In the first step, the authors examined the effect of each influencing factor to FDI spillovers separately. To complete this step, the authors divided the whole sample industry into sub-groups and tested them with the double-mechanism using ordinary least squares regression. This study applies Chinese National Bureau of Statistics manufacturing industry level data, for the years 2000, 2001 and 2002, including the food industry, beverage industry, textile industry, textiles and garments, chemicals and chemical products industry, overall manufacturing equipment, special equipment, computer and other electronic equipment manufacturing industries.

The analysis suggests significant differences between types of spillovers: export orientation of domestic firms mainly influences FDI spillovers by intensity; the capability gap between local and foreign firms influences spillovers by efficiency; and the growth of local firms influences both types of spillovers. This paper develops existing models of FDI and suggests that disaggregating spillovers types may provide important theoretical and policy insights.

This study has found, first, that compared with the classic single mechanism model, the double mechanism model is more appropriate for testing FDI intra-industry spillovers, as it is able to separate spillovers by intensity and spillovers by efficiency, which are shown as two distinct mechanisms for FDI spillovers. This allows a deeper analysis into each mechanism and the identification of relevant influencing factors.