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This study aims to profile the government microbloggers and evaluate their roles. The results can help improve the governments' response capability to public emergencies.

This study proposes the user profiling and role evaluation model of government microbloggers in the context of public emergencies. The indicators are designed from the four dimensions of time, content, scale and influence, and the feature labels are identified. Three different public emergencies were investigated, including the West Africa Ebola outbreak, the Middle East respiratory syndrome outbreak and the Shandong vaccine case in China.

The results found that most government microbloggers were follower responders, short-term participants, originators, occasional participants and low influencers. The role distribution of government microbloggers was highly concentrated. However, in terms of individual profiles, the role of a government microblogger varied with events.

The findings can provide a reference for the performance assessment of the government microbloggers in the context of public emergencies and help them improve their ability to communicate with the public and respond to public emergencies.

By analyzing the performance of government microbloggers from the four dimensions of time, content, scale and influence, this paper fills the gap in existing literature on designing the user profiling and role evaluation model of government microbloggers in the context of public emergencies.

Multiple topics often exist on social media platforms that compete for users' attention. To explore how users’ attention transfers in the context of multitopic competition can help us understand the development pattern of the public attention.

This study proposes the prediction model for the attention transfer behavior of social media users in the context of multitopic competition and reveals the important influencing factors of users' attention transfer. Microblogging features are selected from the dimensions of users, time, topics and competitiveness. The microblogging posts on eight topic categories from Sina Weibo, the most popular microblogging platform in China, are used for empirical analysis. A novel indicator named transfer tendency of a feature value is proposed to identify the important factors for attention transfer.

The accuracy of the prediction model based on Light GBM reaches 91%. It is found that user features are the most important for the attention transfer of microblogging users among all the features. The conditions of attention transfer in all aspects are also revealed.

The findings can help governments and enterprises understand the competition mechanism among multiple topics and improve their ability to cope with public opinions in the complex environment.

The purpose of this paper is to reveal the influence of organizational identification (OI) on organizational citizenship behavior (OCB) directed toward organization (OCB-O) and OCB directed toward individuals (OCB-I), and explore the moderating effects of turnover intention (TI) and the differences of the moderating effects of supervisors’ ratings of leader–member exchange quality (LMX-L) and subordinates’ ratings of LMX quality (LMX-S) in the process.

Based on social exchange theory, this study took administrative staff of private small and medium enterprises in China as population. A paired-samples design was used, and 437 valid paired samples were collected finally. Data analyses were conducted by using structural equation modeling.

OI indicated a positive influence on both OCB-O and OCB-I. TI showed a negative moderating effect on the positive relationship between OI and OCB-I, but no significant moderating effect on the positive relationship between OI and OCB-O. LMX-L and LMX-S were not in one same direction and showed different moderating levels. LMX-L had no significant effects on the relationship between OI and OCB-O, nor did on the relationship between OI and OCB-I. On the other hand, LMX-S strengthened both the positive relationship between OI and OCB-O, and the positive relationship between OI and OCB-I.

This study explored the relationships from social exchange perspective, found that OCB-O and OCB-I had different formation mechanisms and should be explored as distinct variables, and confirmed that it was necessary to use the paired-samples design when studying dyadic phenomena.

The paper aims to investigate the friction and wear properties of three surface-modified piston rings matched with a chromium-plated cylinder liner.

Samples were taken from the chromium-plated cylinder liner, Cr-Al2O3 ring, CrN ring and Mo ring. Tribo-tests were conducted on a reciprocating sliding tribometer under fully formulated engine oils. Friction coefficients and wear depths of three friction pairs were tested. Surface morphologies of cylinder liners and piston rings before and after test were analyzed.

Experimental results show that in the Cr-Al2O3 piston ring, scuffing occurred easily when matched with the chromium-plated cylinder liner; compared with the Mo ring, the CrN ring could decrease the wear depth of the piston ring from 2.7 to 0.2 μm, and the wear depth of cylinder liner remained; however, the friction coefficient increased from 0.113 to 0.123. The tribological performances of three surface-modified piston rings were significantly different when they matched with chromium-plated cylinder liner.

Chromium-plated cylinder liner and the three kinds of surface-modified piston rings have excellent friction and wear properties, respectively. However, according to the systematic characteristics of internal combustion (IC) engine tribology, only the appropriate cylinder liner–piston ring can improve the tribological performance of the IC engine. This paper reports the tribological performance of three surface-modified piston rings matched with a chromium-plated cylinder liner. The results can be used as reference for the design of high-power-density diesel engine.

The purpose of this paper is to broaden the conversation about the link between identity and employability by investigating how identity can function as a type of career capital. Drawing on Bourdieu’s (1990) theory of practice and Côté’s (2016) identity capital model, the authors introduce the concept of identity capitalization and elaborate on the career practices people engage in to convert identity into career capital based on studies of careers in the creative industries.

The conceptual development is based on an examination of studies of careers in the creative industries. The authors move beyond a single idiosyncratic occupational setting and offer insights about how individuals acquire, accumulate and deploy identity capital in response to varying occupational demands and institutional norms.

The authors identify three patterns of work – display work, authenticity work and personation work – that creative professionals use to harness identity as career capital to enhance their employability. The authors find that both the demand for authenticity and the existence of social inequalities in the creative industries present challenges for the acquisition, accumulation and deployment of identity capital.

The ability to harness one’s identity for career capital has become increasingly important for career actors in the face of a challenging labor market. This paper provides a conceptual understanding of the process of identity capitalization and presents concrete career practices in real-world settings. It also offers practical advice for individuals wishing to capitalize on their identity to maximize career opportunities.

The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars.

This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed.

In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems.

This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

Enlightened by the theoretical framework of adapted protection motivation, this study aims to explore and assess the viability and resilience of hospitality consumption in the ongoing Covid-19 era as embodied in the activity of staycation, which is gaining popularity as a rare escape from the hemming in of the pandemic.

This study collects data from staycation guests in Hong Kong, which at the time was under semi-lockdown imposing compulsory quarantine for inbound visitors. The data was analyzed through structural equation modeling (SEM).

It is revealed by the study results that staycation experiences in Hong Kong are underpinned by a full mediating effect between place attachment and experience quality is performed by sense of presence, together with consolidation of experience quality and psychological detachment as tenable mediators in the research model. Aside from the utilitarian and hedonic values, hospitality and tourism consumption have been engrained with profound socio-cultural implications congenial to the collective identities, recollection and contemplation of a civilized society, with the Covid-19 era and the foreseeable future expected to be no exception.

The results of this study can serve as reference regarding better planning and development of the staycation product as effective responses against the grave repercussions of the Covid-19 pandemic by hotel and hospitality practitioners and destination marketers and managers at large. In particular, the pandemic has inadvertently availed the opportunity for the destinationalization of the hotel and hospitality sector, with rich implications for industrial consolidations and coordination with destination authorities.

The holistic structural research model derived and empirically examined entails major antecedents and consequences of the experience quality of staycation guests in locked-down Hong Kong, with the incorporation of the variables of place attachment and extended conceptualization of sense of presence accounting for the efficacy factors of the staycation takers in terms of locality and recollection appraisals, respectively. This study enriches theoretical articulations on staycation as the new normal of hospitality consumption in the lingering pandemic era.

Customer knowledge from social media can become an important organizational asset. The purpose of this paper is to identify useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers from social media data and facilitate social media-based customer knowledge management.

The authors conducted a case study to analyze people’s online discussion on Twitter regarding laptop brands and manufacturers. After collecting relevant tweets using Twitter search APIs, the authors applied statistical analysis, text mining and sentiment analysis techniques to analyze the social media data set and visualize relevant insights and patterns in order to identify customer knowledge.

The paper identifies useful insights and knowledge from customers and knowledge about customers from social media data. Furthermore, the paper shows how the authors can use knowledge from customers and knowledge about customers to help companies develop knowledge for customers.

This is an original social media analytics study that discusses how to transform large-scale social media data into useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers.

Panel data provide the possibilities of estimating individual treatment effects for multiple individuals. Two issues are considered: (1) differences in the estimated individual treatment effects are due to heterogeneity or a chance mechanism? (2) what is the best way to estimate the average treatment effects? Testing and aggregation methods are suggested. Monte Carlo simulations are also conducted to shed light on these two issues. An empirical analysis on the involvement of underground organization in China’s Peer-to-Peer (P2P) activities through the “anti-gang” campaign is also provided.

Wireless mesh networks (WMNs) are regarded as a milestone in developing next‐generation wireless networks. The multi‐hop architecture of WMN makes it very attractive. However, interoperability is an inherent problem for deploying a large‐scale WMN, which may consist of various types of wireless networks. There are two intuitive approaches to solving the interoperability problem: the dual‐stack/multi‐stack approach and the naive layer‐2 broadcast approach. While the former incurs high cost in all devices, the latter creates broadcast storm in the whole network. This paper aims to propose a cross‐layer heterogeneous routing protocol for solving this problem without the adverse effects of the intuitive approaches.

A conceptual discussion and approach are employed.

The simulation results validate the efficiency of the proposed protocol.

The paper provides details of a method for routing selection in WMNs.