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Presents a macro analysis of the dynamics of temporally linked crisis events and the non‐linear effects resulting from the linkage. The nature of crisis is explored as a singular conceptual construct, and four forms of linkage between crises are assessed. Specific emphasis is placed on how such linkages amplify the total damage upon society and lengthen the duration of the cumulative recovery effort. Based on the assessment, new points of strategic planning focus are identified to drive continued empirical research and to support the development of future operational plans in crisis response.

This paper aims to improve a sentiment analysis (SA) system to help users (i.e. customers or hotel managers) understand hotel evaluations. There are three main purposes in this paper: designing an unsupervised method for extracting online Chinese features and opinion pairs, distinguishing different intensities of polarity in opinion words and examining the changes in polarity in the time series.

In this paper, a review analysis system is proposed to automatically capture feature opinions experienced by other tourists presented in the review documents. In the system, a feature-level SA is designed to determine the polarity of these features. Moreover, an unsupervised method using a part-of-speech pattern clarification query and multi-lexicons SA to summarize all Chinese reviews is adopted.

The authors expect this method to help travellers search for what they want and make decisions more efficiently. The experimental results show the F-measure of the proposed method to be 0.628. It thus outperforms the methods used in previous studies.

The study is useful for travellers who want to quickly retrieve and summarize helpful information from the pool of messy hotel reviews. Meanwhile, the system will assist hotel managers to comprehensively understand service qualities with which guests are satisfied or dissatisfied.

The question of whether intellectual capital (IC) is beneficial to firm performance is debatable because of the diverse effects of IC and its components on firm performance. Building on the concept of pay–performance relation, this study aims to provide new insights into how changes in IC affect changes in firm performance.

Data envelopment analysis is employed to measure firm performance, and value-added intellectual coefficient (VAIC™) is selected to evaluate the IC and its components, namely human capital efficiency (HCE), structural capital efficiency (SCE), and capital employed efficiency (CEE). Ordinary least squares regression is applied to study the relationship between changes in IC and changes in firm performance using 6,408 firm-year observations of electronics companies listed in Taiwan from 2006 to 2017.

Empirical results suggest that IC efficiency and CEE significantly and negatively affect firm performance, thereby suggesting a contradictory common sense with the resource-based view on the beneficial effects of IC. However, changes in IC efficiency and HCE are significantly and positively related to changes in firm performance, including changes in firm efficiency and sales growth.

This study suggests that managers should continuously pay attention to adjusting their IC, especially human capital (HC) for better decisions that help grow firm performance. Moreover, investors can grasp how sensitive firm performance is to IC.

This study argues the relationship between IC and firm performance in the same vein as a pay-for-performance link, suggesting that future studies should account for increases or decreases in IC.

The purpose of this study is to examine the question of whether the repatriation adjustment process varies with different combinations of duration and purpose of international assignments.

A multiple-case study within one company was conducted based on in-depth interview data.

The authors find that learning-driven international assignments are more beneficial for career growth and receive better organizational support, as assignees are able to maintain regular communication (visibility) with the home unit. On the other hand, those on demand-driven, long-duration international assignments need to have a closer connection (integration) with employees in the host unit and find it challenging to maintain high visibility in the home unit simultaneously.

The authors contribute to existing research by highlighting that demand-driven assignees on longer assignments face greater challenges upon returning home. In addition, expatriates on short-term assignments face drastically fewer challenges than expatriates on longer assignments.

Considering the evolving importance of green finance, this study uses climate-related development mitigation finance as a proxy of green finance and investigates the impact of green finance on ecological footprint as an indicator of environmental quality along with the influence of economic growth, renewable energy, greenhouse gas emissions, trade openness and urbanization across 47 developing countries over the period 2000–2018.

After finding the presence of cross-sectional dependency among variables, the second-generation panel unit root test was employed to detect the order of integration among the variables. Since all the variables were found to be stationary, Westerlund cointegration technique was employed to detect the long-run relationship among the variables. Then, the long-run elasticity among the dependent and independent variables was tested using fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS) and pooled mean group–autoregressive distributed lag (PMG–ARDL) approaches.

The empirical findings suggest the presence of long-run relationship among all the variables, namely, ecological footprint, green finance, economic growth, renewable energy consumption, greenhouse gas emissions, trade openness and urbanization for the selected developing countries in the sample. Furthermore, economic growth, greenhouse gas emissions, trade openness and urbanization, all have a positive and significant impact on the ecological footprint, whereas renewable energy consumption and green finance have a significant and negative impact on the ecological footprint, which supports the view that environmental quality is improved with the greater use of renewable energy technologies and allocation of greater amounts of more green finance.

The empirical results of this study offer policymakers and regulators some implications for environmental policy for protecting the countries from ecological issues.

The purpose of this study is to synthesize the previous empirical studies on transactive memory systems (TMS) through a meta-analytical approach and test the proposed model for the relationships between TMS and different types of team outcomes.

TMS refers to shared memory systems developed among a group of people for encoding, storage and retrieval of their different knowledge domains. They have been widely used in group or organization settings to describe the cumulative knowledge in a group of multi-disciplinary experts. Previous literature suggests TMS as a critical concept for explaining group performance, but few studies were conducted to integrate the literature findings to identify the relationships between TMS and team outcomes.

The findings suggest that TMS is more strongly linked to affective outcomes than behavioral or performance outcomes. In addition, the authors find that the specific operationalization of TMS does not affect the relationship between TMS and team outcomes. There was not enough support for significant effects of group size and research setting on the relationships between TMS and team outcomes, which indicates that both laboratory and field studies have similar potential to generate valuable results for the research of TMS.

This study contributes to the body of knowledge on team effectiveness by investigating the links between TMS and team effectiveness through a broad definition of outcomes that include tangible constructs, such as performance, as well as behavioral and affective outcomes. By exploring the relationships through this broad conceptualization of team effectiveness, the authors can better understand the particular effects of TMS on different key aspects used to determine success in teams.

The purpose of this paper is to examine how communication practices influence individuals’ team assembly and performance in open innovation contests.

This study analyzed behavioral trace data of 4,651 teams and 19,317 participants from a leading open innovation platform, Kaggle. The analyses applied weighted least squares regression and weighted mediation analysis.

Sharing online profiles positively relates to a person’s performance and likelihood of becoming a leader in open innovation teams. Team assembly effectiveness (one’s ability to team up with high-performing teammates) mediates the relationship between online profile sharing and performance. Moreover, sharing personal websites has a stronger positive effect on performance and likelihood of becoming a team leader, compared to sharing links to professional social networking sites (e.g. LinkedIn).

As team collaboration becomes increasingly common in open innovation, participants’ sharing of their online profiles becomes an important variable predicting their success. This study extends prior research on virtual team collaboration by highlighting the role of communication practices that occur in the team pre-assembly stage, as an antecedent of team assembly. It also addresses a long-standing debate about the credibility of information online by showing that a narrative-based online profile format (e.g. a personal website) can be more powerful than a standardized format (e.g. LinkedIn).

Open innovation organizers should encourage online profile sharing among participants to facilitate effective team assembly in order to improve innovation outcomes.

The current study highlights the importance of team assembly in open innovation, especially the role of sharing online profiles in this process. It connects two areas of research that are previously distant, one on team assembly and one on online profile sharing. It also adds new empirical evidence to the discussion about online information credibility.

According to the Stokes microcontinuum theorem and Christensen's stochastic model, the main objective of this paper is to theoretically predict the combined influences of couple stresses and surface roughness on the lubrication performance of journal‐bearing systems. To take account of the presence of both the surface roughness of bearings and the couple stress effect due to the lubricant containing the polar suspensions, the generalized stochastic non‐Newtonian Reynolds‐type equation is derived. Compared to the Newtonian‐lubricant smooth‐bearing case, the couple stress effects and the longitudinal roughness improve the load carrying capacity, and thus decrease the attitude angle and friction parameter, while the effect of transverse roughness is opposite to that of the longitudinal one in the journal‐bearing system.