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The uncertainty of the interval variable is represented by interval factor, and the interval variable is described as its mean value multiplied by its interval factor. Based on interval arithmetic rules, an analytical method of interval finite element for uncertain structures but not probabilistic structure or fuzzy structure is presented by combining the interval analysis with finite element method. The static analysis of truss with interval parameters under interval load is studied and the expressions of structural interval displacement response and stress response are deduced. The influences of uncertainty of one of structural parameters or load on the displacement and stress of the structure are examined through examples and some significant conclusions are obtained.

The high-pressure accumulator has been widely used in the hydraulic system. Failure pressure prediction is crucial for the safe design and integrity assessment of the accumulators. The purpose of this study is to accurately predict the burst pressure and location for the accumulator shells due to internal pressure.

This study concentrates the non-linear finite element simulation procedure, which allows determination of the burst pressure and crack location using extensive plastic straining criterion. Meanwhile, the full-scale hydraulic burst test and the analytical solution are conducted for comparative analysis.

A good agreement between predicted and measured the burst pressure that was obtained, and the predicted failure point coincided very well with the fracture location of the actual shell very well. Meanwhile, the burst pressure of the shells increases with wall thickness, independent of the length. It can be said that the non-linear finite element method can be employed to predict the failure behavior of a cylindrical shell with sufficient accuracy.

This paper can provide a designer with additional insight into how the pressurized hollow cylinder might fail, and the failure pressure has been predicted accurately with a minimum error below 1%, comparing the numerical results with experimental data.

The social media expands the scope of museum marketing. Through the social media marketing, visitors get a rich and colorful visual experience, and the museum can quickly and effectively convey various information to visitors. At present, the research on social media in the museum industry mainly focuses on the level of technology use, while the research on the marketing application of social media is relatively scarce, especially from the empirical perspective. This study constructs a conceptual model to identify the impact of SMMAs on visitor experience in the context of the museum industry through the empirical analysis.

A survey is conducted with a total of 538 visitors who follow the fan page of the Palace Museum Weibo. The collected data are analyzed via structural equation modeling.

The results show that SMMAs have significant effects on social presence and social support, which in turn significantly affect flow state. Moreover, the results demonstrate that social presence and social support partially mediates the relationships between SMMAs and flow state.

The contribution of this study is twofold. First, from a theoretical perspective, it offers new insights into the conceptualization of social media marketing. Second, from a pragmatic perspective, the results are helpful to guide museums how to carry out social media marketing activities.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2020-0564

The aim of this study is to understand the knowledge-sharing structure and co-production of trip-related knowledge through online travel forums.

The travel forum threads were collected from TripAdvisor’s Sydney travel forum for the period from 2010 to 2014, which contains 115,847 threads from 8,346 conversations. The data analytical technique was based on a novel methodological approach – visual analytics, including semantic pattern generation and network analysis.

Findings indicate that the knowledge structure is created by community residents who camouflage as local experts and serve as ambassadors of a destination. The knowledge structure presents collective intelligence co-produced by community residents and tourists. Further findings reveal how these community residents associate with each other and form a knowledge repertoire with information covering various travel domain areas.

The study offers valuable insights to help destination-management organizations and tour operators identify existing and emerging tourism issues to achieve a competitive destination advantage.

This study highlights the process of social media mediated travel knowledge co-production. It also discovers how community residents engage in reaching out to tourists by camouflaging as ordinary users.

This paper aims to optimize the charging schedule for battery electric buses (BEBs) to minimize the charging cost considering the time-of-use electricity price.

The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming model. The objective is to minimize the total charging cost of the BEB fleet. The charge decision of each BEB at the end of each trip is to be determined. Two types of constraints are adopted to ensure that the charging schedule meets the operational requirements of the BEB fleet and that the number of charging piles can meet the demand of the charging schedule.

This paper conducts numerical cases to validate the effect of the proposed model based on the actual timetable and charging data of a bus line. The results show that the total charge cost with the optimized charging schedule is 15.56% lower than the actual total charge cost under given conditions. The results also suggest that increasing the number of charging piles can reduce the charging cost to some extent, which can provide a reference for planning the number of charging piles.

Considering time-of-use electricity price in the BEBs charging schedule will not only reduce the operation cost of electric transit but also make the best use of electricity resources.

Following self-determination theory, the purpose of this paper is to investigate the impact of four motivational profiles (external, introjected, identified regulation, and intrinsic motivation) on work performance (interpersonal, adaptive, task, and dedicative performance). The authors also examined the proposed relations with longitudinal data.

Participants in Studies 1 and 2 were from several companies in China. Employees completed the questionnaires to measure their work motivation, and managers completed the questionnaires to assess the subordinates’ work performance.

In Study 1, the authors found that identified regulation significantly predicted interpersonal performance and adaptive performance. External regulation, introjected regulation, and intrinsic motivation had no significant impacts on interpersonal, adaptive, task, or dedicative performance. In Study 2, the results revealed that identified regulation significantly predicted dedicative and interpersonal performance, but external regulation, introjected regulation, and intrinsic motivation had no significant impacts on the four types of performance. These two studies concluded that only identified regulation strongly predicts work performance.

The study has contributed to the body of knowledge by clarifying that identified regulation is an important type of motivation in the workplace. Managers might therefore focus on supporting employees for identifying with the organizational goals in order to promote better performance.

This paper aims to investigate the effect and mechanism of O atom single doping, Ce and O atoms co-doping on the interfacial microscopic behavior of brazed Ni-Cr/diamond.

Using first-principles calculations, the embedding energy, work of separation, interfacial energy and electronic structures of Ni-Cr-O/diamond and Ni-Cr-O-Ce/diamond interface models were calculated. Then, the effect of Ce and O co-doping was experimentally verified through brazed diamond with CeO₂-added Ni-Cr filler alloy.

The results show that O single-doping reduces the interfacial bonding strength between Ni-Cr filler alloy and diamond but enhances its interfacial stability to some extent. However, the Ce and O co-doping simultaneously enhances the interfacial bonding strength and stability between Ni-Cr filler alloy and diamond. The in-situ formed Ce-O oxide at interface impedes the direct contact between diamond and Ni-Cr filler alloy, which weakens the catalytic effect of Ni element on diamond graphitization. It is experimentally found that the fine rod-shaped Cr₃C₂ and Cr₇C₃ carbides are generated on diamond surface brazed with CeO₂-added Ni-Cr filler alloy. After grinding, the brazed diamond grits, brazed with CeO₂-added Ni-Cr filler alloy, present few fracture and the percentage of intact diamond reaches 67.8%. Compared to pure Ni-Cr filler alloy, the brazed diamond with CeO₂-added Ni-Cr filler alloy exhibit the better wear resistance and the slighter thermal damage.

Using first-principles calculations, the effect of Ce and O atoms co-doping on the brazed diamond with Ni-Cr filler alloy is investigated, and the calculation results are verified experimentally. Through the first-principles calculations, the interface behavior and reaction mechanism between diamond and filler alloy can be well disclosed, and the composition of filler alloy can be optimized, which will be beneficial for synergistically realizing the enhanced interface bonding and reduced thermal damage of brazed diamond.

Based on the goal content theory (GCT), the purpose of this paper is to focus on the essence of goals and examine the associations between different work goal contents (intrinsic and extrinsic goals) and work performance.

The data were collected from 279 employees and their immediate supervisors, and the theoretical hypotheses were tested by correlation and hierarchal regression analyses.

The results of the analyses showed that intrinsic goal content positively predicted task performance, dedicative performance, interpersonal performance, and adaptive performance and that extrinsic goal content positively predicted the task performance and adaptive performance; intrinsic goals were also found to enhance the relationship between extrinsic goals and task performance.

The contribution of the current study is that it explores whether both extrinsic goals and intrinsic goals can contribute to predicting work performance. Moreover, different from previous studies that focus on discussing the separate effects of intrinsic and extrinsic goals on outcomes, the authors aim to study the interaction effect between these goals, which enriches GCT.

This study investigates how to motivate behavioral intentions toward green investment (BIGI) with the moderating effect of social media platforms usage (SMPU) among individual investors in Egypt.

The study used partial least squares structural equation modeling (PLS-SEM) to analyze the data and test hypotheses based on a sample of 550 individual investors with investment experience.

The results show that attitude, subjective norm (SN), and perceived behavioral control (PBC) have a significant relationship with investors' behavioral intention toward green investment. The moderating effect of (SMPU) supported the relationship between (SN), (PBC), and (BIGI), but (SMPU) does not support the relationship between attitude and (BIGI).

This study provides some implications for investment providers, service providers, and policymakers.

Despite the increasing global interest in climate change and its consequent opportunities and challenges for business, previous studies did not strongly emphasize green investment. So, based on the theory of planned behavior (TPB), this study sheds light on the motivational factors that may push investors' behavioral intentions toward green investment. With the increasing interest in digital transformation, the study also examined how digital platforms support (BIGI), especially in Egypt as a developing country.

The main purposes of this article are twofold: (1) to investigate the unexplored connections among destination gender personality, destination stereotypes, brand attachment and destination brand love and (2) to examine the moderating role of destination involvement in the association between destination stereotypes and destination brand attachment (DBA).

The conceptual model is evaluated using qualitative methods (i.e. three focus groups, six academic experts and a pilot study). In addition, using an empirical study with 610 international travelers who visited Egypt selected by systematic random sampling, 8 hypotheses were analyzed and tested using structural equation modeling (SEM) by AMOS 23, confirmatory factor analyses and exploratory factor analyses.

The study’s results suggest that destination gender plays a vital role in enhancing stereotypes, stereotypes positively affect attachment and DBA positively affects destination brand love. Finally, the results show that destination involvement moderates the dual influence of the warmth and competence of stereotypes on destination attachment.

The research supports the contention that social perception mechanisms are crucial in destination brand perception. It offers new understandings of the association between customers' destination brand perceptions and their responses to destinations.

This paper contributes to the travel literature by analyzing a novel model of destination gender personality, stereotypes, DBA and destination brand love using both social role (SR) theory and a stereotype content model (SCM). Besides attempting this task, it explores the moderating role of destination involvement in the association between stereotypes and destination attachment using the elaboration likelihood model.