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The purpose of this paper is to deal with the link between identity and crisis deriving by natural disasters, exploring the function of the shared identity linking individuals, groups, organizations and its external networks. The shared identity is not static. It is a dynamic self-reflexive learning process and is reciprocal. The object of the research is a medium-sized multi-utility company, which experienced the 2012 earthquakes, and how responsibly and rapidly it responded and recovered in collaboration with its stakeholders in the local territory.

Semi-structured interviews were directed to both managers and to selected representatives of the “vertical external networks” of the company (local authorities, a consumer association and a trade association). The primary data were supplemented by archived materials for data triangulation.

The research highlights the importance of identity and relationship with local stakeholders and communities when facing the earthquakes. Believing themselves to be socially responsible, ethical and capable, employees were highly motivated and collaborative. Resuming normal services was AIMAG’s priority. The behavior of AIMAG, its employees and its local stakeholders were guided by a shared community identity. After the earthquakes, this shared community identity was strengthened, thus improving the community’s resilience.

The paper highlights the role of identity in linking both inside and outside an organization, in contributing greatly to joint decision making and action, and, finally, in increasing the awareness of the company leaders and staff regarding the importance of their actions for the whole local community. This research advocates the role of identity in disaster risk reduction.

Analyzing how and what the local multi-utility AIMAG learned through the 2012 Northern Italy earthquakes, the purpose of this paper is to “normalize” the organizational learning (OL) triggered by disasters.

Seven managers who experienced the earthquakes were interviewed. The collected data are supplemented by archival materials. The analysis was conducted based on the 4I model (Crossan et al., 1999), using the qualitative data analysis tool “NVivo.”

The earthquakes audited AIMAG’s knowledge repositories, revealing its weakness and strength. When the earthquakes struck, individuals intuited the situations based on their previous experience, interpreting the need to respond to the interruptions and begin recovery immediately. The collective interpretation formed the basis for joint actions, which integrated the group learning at the organizational level. The effective cognition and behavior were instituted to the organization, and the new knowledge was absorbed into the organization’s knowledge repositories awaiting the next audit.

The concept of “learning through disasters” is advocated. By perceiving disasters as a series of interruptions that may have happened before and may re-occur, the learning is connected to organizations’ past and future through knowledge repositories. In addition, by analyzing data based on the multi-level OL model, the learning triggered by disasters was observed to occur throughout the organization at individual, group and organizational levels, in which routines played a critical linking role.

The purpose of this paper is to empirically investigate the effects of institutional support on product and process innovation and firm performance and describe how dysfunctional competition influences relevant outcomes.

This study develops a research model based on institution-based view and tests it using structural equation modeling and empirical data collected from 300 manufacturers in China.

The results show that institutional support positively affects product and process innovation and firm performance. Both product and process innovation improve firm performance. The findings reveal that dysfunctional competition significantly reduces the positive effects of institutional support on product and process innovation but leaves the effects of institutional support and product and process innovation on firm performance unaffected.

This study contributes to innovation literature by providing insights into the impact of China’s institutional environment on manufacturing firms’ product and process innovation decisions. The findings also contribute to institution-based view literature by providing empirical evidence on the joint effects of institutional support and dysfunctional competition on product and process innovation and firm performance. This study can help manufacturers in China take advantage of institutional environment and adjust product and process innovation decisions accordingly.

Based on the perspectives of social capital, image motivation and motivation affordances, this paper explores the direct and moderation effects of different kinds of motivations (i.e. relationship-based motivation, community-based motivation and individual-based motivation) on users' continuous knowledge contributions in social question and answer (Q&A) communities.

The authors collect the panel data of 10,193 users from a popular social Q&A community in China. Then, a negative binomial regression model is adopted to analyze the collected data.

The paper demonstrates that social learning, peer recognition and knowledge seeking positively affect users' continuous contribution behaviors. However, the results also show that social exposure has the opposite effect. In addition, self-presentation is found to moderate the influence of social factors on users' continuous use behaviors, while the moderation effect of motivation affordances has no significance.

First, this study develops a comprehensive motivation framework that helps gain deeper insights into the underlying mechanism of knowledge contribution in social Q&A communities. Second, this study conducts panel data analysis to capture the impacts of motivations over time, rather than intentions at a fixed time point. Third, the findings can help operators of social Q&A communities to optimize community norms and incentive mechanisms.

The purpose of this paper is to predict the effect of bra pad specifications on breast deformation during jumping using a finite element (FE) method. Breast deformation is a key concern for women during exercise and can be effectively controlled with sports bras. In most studies, the deformation of breasts when wearing a sports bra is measured using motion capture devices to judge their effectiveness. However, the operation of such devices is highly complex and time-consuming. Computer-aided technology is an efficient way to simulate these experiments.

In this study, the breast model was obtained using three-dimensional (3D) scanning. Assembling models were obtained for FE analysis using reverse engineering and computer-aided design (CAD) software. The breast deformation results were obtained by completing pre-processing, solving and post-processing in the FE simulation software. To extend the application of these models, pads of different sizes and thicknesses within the bra were constructed to simulate the effect of pads on breast deformation.

The calculated root mean square errors were <1%, which indicated good agreement between the FE and experimental data in all the models. Nipple deformation was always the largest in most models. The smallest deformation occurred at the superior position of breasts in all models. In addition, larger pads were not effective in reducing breast deformation; however, thicker pads were.

The method developed in this study provides an effective way to predict breast deformation in multiple positions and is convenient for designing compression bras.

Drawing on self-determination theory and insights from the literature on service-dominant (S-D) logic and value co-creation, this paper aims to investigate the impacts of an S-D orientation on positive customer outcomes (i.e. customer participation behaviors, customer citizenship behaviors and quality of life) and the underlying mechanisms of these effects.

Custom travel service (CTS) was chosen as the research setting. In total, 303 valid questionnaires were gathered from tourists in China. The partial least squares structural equation modeling approach was used for model estimation.

Tourism firms’ S-D orientation positively influences customer participation behaviors via customer psychological need satisfaction (i.e. perceived autonomy, competence and relatedness), customer citizenship behaviors via perceived relatedness and customer quality of life via perceived autonomy and perceived competence.

Although the impact of S-D orientation is studied in the CTS context, this study illustrates how firms embracing S-D logic can facilitate value co-creation and customer quality of life, presenting a more precise picture for academics and practitioners.

This paper is the first attempt to empirically examine the relationships among S-D orientation, customer value cocreation and quality of life. The relevance of customer psychological need satisfaction is acknowledged in this study.

The privatization of infrastructure promotes efficiency and service standards. While cross-border private participation infrastructure (PPI) projects hosted in emerging markets have become more prevalent in recent years, there have also been more failures. The purpose of this paper is to investigate how governance distance affects the survival of cross-border PPI projects.

The authors provide theoretical justification and empirical evidence to verify our views. The authors test the hypotheses on a sample of 4,678 cross-border PPI project investments made in emerging market countries between 1990 and 2016. Estimation techniques consist of a binary logistic regression model and a rare events logistic model.

The findings suggest that increased governance distance can lead to project failure. The study results show that governance distance is negatively correlated with the probability of project survival. Greenfield investment intensifies the negative effect of governance distance while competitive contracts mitigate the negative effect of governance distance.

The results reveal that transnational investment in infrastructure projects is susceptible to institutional differences between home and host countries. Therefore, both private enterprises and host government should pay attention to the impact of inter-country differences on negotiations and project operation. Competitive contracts mitigate this negative effect, but entering in the form of greenfield investment amplifies the negative effect of distance.

Transnational industrial engineering projects are easily affected by the differences in governance levels between the two countries. This study introduces governance distance into the field of infrastructure projects, focusing on the impact of differences between home and host countries on transnational projects. The findings on infrastructure projects that are closely related to host government contribute to the literature by broadening the research of institution and distance.

Enterprises build online product community to expect users to contribute: opinion sharing (content contribution) and product consumption (product contribution). Previous literature rarely focused on both. The purpose of this paper is to explain user contribution mechanism by identifying content contribution and product contribution.

This research chose Xiaomi-hosted online product community (bbs.xiaomi.cn) and Huawei-hosted online product community (club.huawei.com) where users can freely share ideas and buy products at the same time. Data were crawled from 109,665 community users to construct dependent variable measurement, and 611 questionnaires were used to verify research hypotheses.

The results indicate that both cognitive needs and personal integration needs have a significant positive impact on browse behavior; social integration needs and hedonic needs have a significant positive impact on content contribution behavior. Browse behavior not only directly affects but also indirectly influences product contribution through content contribution behavior.

Findings of this research provide community managers with useful insights into the relationship between content contribution and product contribution.

This study explains the formation mechanism of user product contribution and reveals the relationship between user content contribution and product contribution in online product community. This paper provides a different way of theorizing user contributions by incorporating uses and gratifications theory into the “Motivation-Behavior-Result” framework.

With the proliferation of ideas submitted by users in firm-built online user innovation communities, community managers are faced with the problem of user idea overload. The purpose of this paper is to explore the influencing factors on the idea adoption to identify high quality ideas, and then propose a method to quickly filter high value ideas.

The authors collected more than 110,000 data submitted by Xiaomi community users and analyzed the factors affecting idea adoption using a multinomial logistic regression model. In addition, the authors also used BP neural network to predict the idea adoption process.

The empirical results show that idea semantics, number of likes, number of comments, number of related posts, the existence of pictures and self-presentation have positive impact on idea adoption, while idea length and idea timeliness had negative impact on idea adoption. In addition, this paper calculates the idea evaluation value through the idea adoption process predicted by neural network and the mean value of idea term frequency inverse document frequency (TF-IDF).

This empirical study expands the theoretical perspective of idea adoption research by using dual-process theory and enriches the research methods in the field of idea adoption research through the multinomial logistic regression method. Based on our findings, firms can quickly identify valuable ideas and effectively alleviate the information overload problem of online user innovation communities.

Uncovering the relationship between Industry 4.0 (I4.0) technologies and circular economy (CE) practices is critical not only for implementing CE but also for leveraging I4.0 to achieve sustainable development goals. However, the potential connection between them – especially how different I4.0 technologies may influence various CE practices – remains inadequately researched. The purpose of this study was to quantitatively explore the impacts of various I4.0 technologies on CE practices.

A mixed method consisting of a systematic literature review, content analysis, and social network analysis was adopted. First, 266 articles were selected and mined for contents of I4.0 technologies and CE practices; 27 I4.0 technologies and 21 CE practices were identified. Second, 62 articles were found that prove the positive influence of I4.0 technologies on CE practices, and 124 relationships were identified. Third, based on evidence supporting the link between I4.0 technologies and CE practices, a two-mode network and two one-mode networks were constructed, and their network density and degree centrality indicators were analyzed.

I4.0 technologies have a low application scope and degree for promoting CE. The adoption of a single I4.0 technology has limited effect on CE practices, and wider benefits can be realized through integrating I4.0 technologies. The Internet of Things (IoT), additive manufacturing, big data and analytics, and artificial intelligence (AI) are among the top technologies promoting CE implementation and reduction and recycling were identified as the main mechanism. The integration of these technologies is the most popular and effective. Twelve CE practices were identified to be the most widely implemented and supported by I4.0 technologies.

First, only journal articles, reviews, and online publications written in English were selected, excluding articles published in other languages. Therefore, the results obtained only represent a specific group of scholars, which may be fragmented to a certain extent. Second, because the extraction of the impact of I4.0 on CE mainly relies on a manual literature review, this paper only provides the statistics of the number of publications involving relationships, while lacking the weight measurement of relationships.

A comprehensive, quantitative, and visual analysis method was employed to unveil the current implementation levels of I4.0 technologies and CE practices. Further, it was explored how different I4.0 technologies can affect various CE aspects, how different I4.0 technologies are integrated to promote CE realization, and how various CE practices are implemented simultaneously by I4.0 technologies.