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The purpose of this study is to adopt the perspective of congruence to explore how organizational unlearning facilitates knowledge transfer in cross-border mergers and acquisitions (M&A).

Drawing on the congruence theory, this study built a theoretical model and examined it with survey data from 212 firms in China.

Organizational unlearning has no direct influence on knowledge transfer. In contrast, it promotes knowledge and routine compatibility that facilitate knowledge transfer. Routine and knowledge compatibility have different mechanisms on knowledge transfer. Specifically, the higher routine compatibility, the more effective is knowledge transfer. When knowledge compatibility is at a medium level, the effectiveness of knowledge transfer is optimal.

Firms should regard organizational unlearning as a crucial facilitator to knowledge and routine compatibility that promote knowledge transfer.

This study provides a specific understanding of the relationships between organizational unlearning and knowledge transfer by focusing on knowledge and routine compatibility as the crucial links, and enriches existing literature regarding knowledge transfer.

The purpose of this paper is to explore the relationship between unlearning and strategic flexibility from the down-up change perspective.

Drawing on the routine-updating process, this study builds a theoretical model and examines it using survey data from 233 firms in China.

Unlearning is the enabler to strategic flexibility. Specifically, individual unlearning and organizational unlearning both have positive effects on strategic flexibility. Organizational unlearning exerts a partly mediating effect on the relationship between individual unlearning and strategic flexibility.

The paper examines the different mechanisms of individual and organizational unlearning on strategic flexibility and suggests that unlearning is a useful method or approach for strategic flexibility. In addition, this study is useful to help managers or practitioners determine how to embrace strategic flexibility by unlearning.

The purpose of this paper is to propose a model to explore the dynamic process of knowledge management from the perspectives of organizational unlearning and organizational relearning, which promote a favorable context for knowledge management.

The model is proposed based on extensive review of literatures. According to this model, the evolutions of organizational unlearning and organizational relearning are separately analyzed, and the interactions between them are revealed.

Organizational unlearning and organizational relearning are the indispensable factors to the dynamic knowledge management. Organizational unlearning positively affects the dynamic knowledge management by discarding the outdated and useless knowledge, while organizational relearning has a positive influence on the dynamic knowledge management by acquiring the new knowledge. Organizational unlearning and organizational relearning have synergies on the dynamic knowledge management.

This paper theoretically illuminates the relationships among organizational unlearning, organizational relearning and knowledge management, and doesn't offer an empirical test.

This paper will provide insights to practitioners to better understand the dynamic process of knowledge management. The practitioners need to provide favorable context to ensure that organizational unlearning and organizational relearning can occur.

Most existing studies focused on the inflows of knowledge, but the outflows of knowledge still lack sufficient attention, especially the dynamic process of knowledge management. The framework provides guides in that process.

By analyzing journal articles with high citation counts but low Twitter mentions and vice versa, the purpose of this paper is to provide an overall picture of differences between citation counts and Twitter mentions of academic articles.

Citation counts from the Web of Science and Twitter mentions of psychological articles under the Social Science Citation Index collection were collected for data analysis. An approach combining both statistical and simple content analysis was adopted to examine important factors contributing to citation counts and Twitter mentions, as well as the patterns of tweets mentioning academic articles.

Compared to citation counts, Twitter mentions have stronger affiliations with readability and accessibility of academic papers. Readability here was defined as the content size of articles and the usage of jargon and scientific expressions. In addition, Twitter activities, such as the use of hashtags and user mentions, could better facilitate the sharing of articles. Even though discussions of articles or related social phenomena were spotted in the contents of tweets, simple counts of Twitter mentions may not be reliable enough for research evaluations due to issues such as Twitter bots and a deficient understanding of Twitter users’ motivations for mentioning academic articles on Twitter.

This study has elaborated on the differences between Twitter mentions and citation counts by comparing the characteristics of Twitter-inclined and citation-inclined articles. It provides useful information for interested parties who would like to adopt social web metrics such as Twitter mentions as traces of broader engagement with academic literature and potential suggestions to increase the reliability of Twitter metrics. In addition, it gives specific tips for researchers to increase research visibility and get attention from the general public on Twitter.

This study aims to evaluate the process of value co-creation within wellness tourism by constructing a structural equation model of customer interactions with the environment, service employees and other customers relating to customer-perceived value and customer engagement.

Questionnaires, including wellness tourists’ customer-environment interaction, customer-service employee interaction, customer-customer interaction, customer-perceived value, customer engagement and demographic background, were developed and distributed at well-known wellness tourism destinations around Guangzhou City, Guangdong Province, China. This study collected 528 valid questionnaires from hot spring resorts, national forest parks, mountain parks and spa wellness facilities located in Guangdong Province, China. Structural equation modeling (SEM) was used to analyze the obtained data.

The results reveal that all three types of interactions, which include the customer-environment interaction (CEI), the customer-service employee interaction (CSI) and the customer-customer interaction (CCI), have positive effects on customer-perceived value (CPV) and that CPV positively affects customer engagement (CE). Based on these findings, recommendations for the management of wellness tourism service enterprises are given.

The causes and effects of CPV in wellness tourism, from the perspective of value co-creation, is a rather unexplored area of study. It contributes not only to knowledge about factors that foster CPV but also to the understanding of connections between CPV and CE.

本研究通过构建顾客与环境、服务员工和其他顾客之间互动对顾客感知价值和顾客契合的结构方程模型, 探究养生旅游中的价值共创过程。

本研究在中国广东省广州市附近知名的养生旅游目的地发放问卷, 问卷内容包括养生旅游者的顾客-环境互动, 顾客-服务员工互动, 顾客-顾客互动, 顾客感知价值, 顾客契合和人口统计学背景。本研究从广东省温泉度假区、国家森林公园、山脉等旅游目的地收集了有效问卷528份, 使用结构方程模型(Structural Equation Modeling, SEM)对所获得的数据进行分析。

本研究数据分析结果显示, 顾客与环境互动、顾客与服务人员互动和顾客与顾客互动三种互动类型均对顾客感知价值有正向影响, 而顾客感知价值正向影响顾客契合。在此基础上, 本文针对养生旅游服务企业提出了管理建议。

本研究从价值共同创造的角度对养生旅游中顾客感知价值的因果关系进行了一项未被探索的研究, 这不仅有助于我们识别并培育影响顾客感知价值的因素, 而且有助于我们理解顾客感知价值与顾客契合之间的联系。

Este estudio evaluó el proceso de la creación conjunta de valor dentro del turismo de bienestar, mediante la construcción de un modelo de ecuación estructural de las interacciones de los clientes con (1) el medio ambiente, (2) los empleados de servicio y (3) otros clientes relacionados con el valor percibido por el cliente y el compromiso del cliente.

Los cuestionarios fueron distribuidos en destinos de turismo de bienestar conocidos cerca de la ciudad de Guangzhou, provincia de Guangdong, China. El contenido del cuestionario incluye: interacción cliente-medio ambiente, interacción cliente-empleado de servicio, interacción cliente-cliente, valor percibido por el clientes, compromiso del clientes y el contexto demográficos. Este estudio recopiló 528 cuestionarios válidos de centros turísticos de aguas termales, parques forestales nacionales, montañas y spas de bienestar localizados en la provincia de Guangdong,China. Se utilizó el modelo de la ecuación estructural (Structural Equation Modeling, SEM) para analizar los datos obtenidos.

Los resultados revelan que los tres tipos de interacciones, que incluyen la interacción cliente-medio ambiente (ICMA), la interacción cliente-empleados de servicio (ICES), y la interacción cliente-cliente (ICC), tienen efectos positivos en el valor percibido por el cliente (VPC), y que el VPC afecta positivamente el compromiso del cliente (CC). Con base en estos resultados, se dan recomendaciones de gestión para las empresas de servicios de turismo de bienestar.

Este es un estudio bastante inexplorado sobre la causa y el efecto del VPC en el turismo de bienestar, desde la perspectiva de la creación conjunta de valor (CCV). Este estudio no solo contribuye al conocimiento sobre los factores que fomentan el VPC, sino también a la comprensión de las conexiones entre el VPC y el CC.

This paper aims to review recent reports on mechanical properties of Sn-Bi and Sn-Bi-X solders (where X is an additional alloying element), in terms of the tensile properties, hardness and shear strength. Then, the effects of alloying in Sn-Bi solder are compared in terms of the discussed mechanical properties. The fracture morphologies of tensile shear tested solders are also reviewed to correlate the microstructural changes with mechanical properties of Sn-Bi-X solder alloys.

A brief introduction on Sn-Bi solder and reasons to enhance the mechanical properties of Sn-Bi solder. The latest reports on Sn-Bi and Sn-Bi-X solders are combined in the form of tables and figures for each section. The presented data are discussed by comparing the testing method, technical setup, specimen dimension and alloying element weight percentage, which affect the mechanical properties of Sn-Bi solder.

The addition of alloying elements could enhance the tensile properties, hardness and/or shear strength of Sn-Bi solder for low-temperature solder application. Different weight percentage alloying elements affect differently on Sn-Bi solder mechanical properties.

This paper provides a compilation of latest report on tensile properties, hardness, shear strength and deformation of Sn-Bi and Sn-Bi-X solders and the latest trends and in-depth understanding of the effect of alloying elements in Sn-Bi solder mechanical properties.

Nuclear power is a stable and reliable energy source that can improve energy structure while reducing carbon emissions, which is of great significance for environmental protection and combating climate change. As a unique industry, it is facing rare development opportunities in China and has broad market prospects. However, the characteristics of technical difficulty, loose organizational structure and uneven regional distribution limit the expansion of the nuclear power industry. This paper aims to a better understanding of the accumulation process for innovation capability from the perspective of network evolution and provides policy guidance for the market development of the nuclear power industry (NPI).

Methodologically, social network analysis is used to explore the co-evolution of multidimensional collaboration networks. First, the development and policy evolution of the NPI is introduced to divide the evolution periods. Then, the authors identify and analyze the core organizations, technologies and regions that promote nuclear power patent collaboration. Furthermore, three levels of collaboration networks based on organizations, technologies and regions are constructed to analyze the coevolution of patent networks in China’s NPI.

The results show that nuclear power enterprises always play the foremost role in the organizational collaboration network (OCN), and the dominance of foreign enterprises is replaced by Chinese state-owned enterprises in the third period. The technology hotspot has shifted from nuclear power plant construction to the control system. The regional collaboration network was initially formed in the coastal areas and gradually moved inland, with Guangdong and Beijing becoming the two cores of the network. The scale of three collaboration networks is still expanding but the speed has slowed down.

In response to the pain points of the NPI, this research focuses on multidimensional collaborative innovation, investigates the dynamic evolution process of collaborative innovation networks in China’s NPI and links policy evolution with network evolution creatively. The ultimate result not only helps nuclear power enterprises integrate innovative resources in complex environments but also promotes industrial upgrading and market development.