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In the advertising strategy called pseudo-ownership advertising appeal, ownership-implying language (e.g. my, our or your) is used to induce consumers’ “ownership” of a brand. This study aims to investigate the influence of pseudo-ownership advertising appeal on brand psychological ownership and consequent brand attitude, purchase intention and choice. This study also assessed the relative effectiveness of different types of possessive pronouns in different customer segments.

Four experiments, involving both students and non-students, were conducted to test the hypotheses. Experiments 1 and 2 investigated the effects of the first-person singular and plural possessive pronouns (“my” and “our”) on psychological ownership and on brand attitude, purchase intention and choice. Experiment 3 investigated the interacting effects of self-construal (independent vs interdependent) and possessive pronoun (singular vs plural) on psychological ownership and brand attitudes. Experiment 4 investigated the interacting effects of customer type (potential vs current) and possessive pronoun (first-person vs second-person) on psychological ownership and brand attitudes.

Pseudo-ownership advertising appeal resulted in the development of brand psychological ownership, as well as inducing favorable attitudes, purchase intentions and brand choice. Furthermore, consumers with interdependent self-construal developed stronger psychological ownership when pseudo-ownership advertising appeal incorporated plural possessive pronouns, and consumers with independent self-construal developed stronger psychological ownership when pseudo-ownership advertising appeal incorporated singular possessive pronouns. Potential consumers developed stronger psychological ownership when pseudo-ownership advertising appeal incorporated second- vs first-person possessive pronouns, and current consumers developed the same psychological ownership for first- and second-person possessive pronouns.

Possessive pronouns used in advertising can enhance brand psychological ownership. Conditions that moderate the relative effectiveness of first- vs second-person and singular vs plural possessive pronouns on brand psychological ownership and consequential consumer responses can be identified. These findings extend research focusing solely on the self-referencing effects of second-pronoun use (“you”) in advertising on consumer attitudes and behaviors by paying attention to the “ownership” effects of possessive pronouns.

This study investigated the effect of adding a customer's name onto a standard product on the customer's product attitude from the perspective of the name-letter effect and psychological ownership theory.

A 2 × 2 experiment was conducted to test the name effect in customization services. The main effects, mediation effects and moderation effects were analyzed using SPSS 22.0 and PROCESS 2.16.3.

Adding customers' personal names onto a standard product positively affected their attitude toward the product, and these effects were mediated by psychological ownership. Furthermore, customers' responses were moderated by self-threat, whereby threatening customers' self-concept enhanced their attitude toward the product that had their name on it.

This study found a positive name effect that is applicable to customization services. It also identified mediating and moderating mechanisms underlying this effect. Therefore this study extends previous studies on customization services that have solely focusing on complex product personalization by focusing on a service that requires less effort and a more basic customization service. This study also extends previous findings about name-letter effects by focusing on the associations between an individual and an object that are induced by shared name letters and by studying how directly adding a personal name onto an object can influence these associations.

This study aimed to evaluate Algerian students' acceptance of blended learning (BL). It incorporated eight dimensions derived from the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) models and involved validating a research tool consisting of 32 items.

Blended learning (BL) in higher education (HE) not only makes education more flexible and accessible but also enhances the overall quality of learning through diverse methods, preparing students for future digital work environments (Zhang et al., 2022). This study aimed to evaluate Algerian students' acceptance of BL. It incorporated eight dimensions derived from the TAM and UTAUT models and involved validating a research tool consisting of 32 items. The final implementation was conducted with 549 undergraduate and master’s students aged between 19 and 33. The results indicated that performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC) had a positive direct effect on behavioral intentions (BI). Moreover, BI positively affected actual acceptance (AA). Additionally, there were positive and significant indirect effects of FC on AA through the mediating variables perceived usefulness (PU), social influence (SI) on AA through BI and perceived ease of use (PEU) on AA through PU. However, EE had no significant indirect effect on AA through PU. Furthermore, gender was a significant moderating variable between SI and AA. There was no significant effect of students' residence on the relationships between PEU and PU and PEU and BI. The study offers valuable insights into educational practices and policies, concluding with practical recommendations to enhance the academic environment, informed by these study outcomes.

This study finds that the students' place of residence did not significantly moderate the relationships involving PEU. This suggests a uniform perception of BL’s ease of use among students, irrespective of their residential backgrounds. This uniformity is essential for the implementation of BL across diverse regions in Algeria, indicating that a one-size-fits-all approach to BL design might be effective.

Researchers measured the contribution of PU, PEU, PE, EE, SI, FC, BI, AA to know the direct and indirect effects among them, as well as the research populations. The questionnaire covered all the study variables, which were applied randomly at Batna 2 University.

Improving the diversity of recommendation information has become one of the latest research hotspots to solve information cocoons. Aiming to achieve both high accuracy and diversity of recommender system, a hybrid method has been proposed in this paper. This study aims to discuss the aforementioned method.

This paper integrates latent Dirichlet allocation (LDA) model and locality-sensitive hashing (LSH) algorithm to design topic recommendation system. To measure the effectiveness of the method, this paper builds three-level categories of journal paper abstracts on the Web of Science platform as experimental data.

(1) The results illustrate that the diversity of recommended items has been significantly enhanced by leveraging hashing function to overcome information cocoons. (2) Integrating topic model and hashing algorithm, the diversity of recommender systems could be achieved without losing the accuracy of recommender systems in a certain degree of refined topic levels.

The hybrid recommendation algorithm developed in this paper can overcome the dilemma of high accuracy and low diversity. The method could ameliorate the recommendation in business and service industries to address the problems of information overload and information cocoons.

The purpose of this paper is to enhance film stiffness and control seal leakage of conventional spiral groove dry gas seal (S-DGS) at a high-speed condition by introducing a new type superellipse surface groove.

The steady-state performance and dynamic characteristics of superellipse groove dry gas seal and S-DGS are compared numerically at a high-speed condition. The optimized superellipse grooves for maximum steady-state film stiffness and dynamic stiffness coefficient are obtained.

Properly designed superellipse groove dry gas seal provides remarkable larger steady-state film stiffness, dynamic stiffness coefficient and lower leakage rate at a high-speed condition compared to a typical S-DGS. The optimal values of first superellipse coefficient for maximum steady and dynamic stiffness are 1.3 and 1.4, whereas the optimal values of second superellipse coefficient for which are 1.4 and 2.0, respectively.

A new type of molded line, namely, superellipse curve, is proposed to act as the boundary lines of surface groove of dry gas seal, as an alternative of typical logarithm helix. The conclusions provide references for surface groove design with larger stiffness and lower leakage rate at a high-speed condition.

The bridge expansion joint (BEJ) is a key device for accommodating spatial displacement at the beam end, and for providing vertical support for running trains passing over the gap between the main bridge and the approach bridge. For long-span railway bridges, it must also be coordinated with rail expansion joint (REJ), which is necessary to accommodate the expansion and contraction of, and reducing longitudinal stress in, the rails. The main aim of this study is to present analysis of recent developments in the research and application of BEJs in high-speed railway (HSR) long-span bridges in China, and to propose a performance-based integral design method for BEJs used with REJs, from both theoretical and engineering perspectives.

The study first presents a summary on the application and maintenance of BEJs in HSR long-span bridges in China representing an overview of their state of development. Results of a survey of typical BEJ faults were analyzed, and field testing was conducted on a railway cable-stayed bridge in order to obtain information on the major mechanical characteristics of its BEJ under train load. Based on the above, a performance-based integral design method for BEJs with maximum expansion range 1600 mm (±800 mm), was proposed, covering all stages from overall conceptual design to consideration of detailed structural design issues. The performance of the novel BEJ design thus derived was then verified via theoretical analysis under different scenarios, full-scale model testing, and field testing and commissioning.

Two major types of BEJs, deck-type and through-type, are used in HSR long-span bridges in China. Typical BEJ faults were found to mainly include skewness of steel sleepers at the bridge gap, abnormally large longitudinal frictional resistance, and flexural deformation of the scissor mechanisms. These faults influence BEJ functioning, and thus adversely affect track quality and train running performance at the beam end. Due to their simple and integral structure, deck-type BEJs with expansion range 1200 mm (± 600 mm) or less have been favored as a solution offering improved operational conditions, and have emerged as a standard design. However, when the expansion range exceeds the above-mentioned value, special design work becomes necessary. Therefore, based on engineering practice, a performance-based integral design method for BEJs used with REJs was proposed, taking into account four major categories of performance requirements, i.e., mechanical characteristics, train running quality, durability and insulation performance. Overall BEJ design must mainly consider component strength and the overall stiffness of BEJ; the latter factor in particular has a decisive influence on train running performance at the beam end. Detailed BEJ structural design must stress minimization of the frictional resistance of its sliding surface. The static and dynamic performance of the newly-designed BEJ with expansion range 1600 mm have been confirmed to be satisfactory, via numerical simulation, full-scale model testing, and field testing and commissioning.

This research provides a broad overview of the status of BEJs with large expansion range in HSR long-span bridges in China, along with novel insights into their design.

Although the short-video-based application TikTok and its AI-enhanced technology have achieved enormous success and reshaped the user experience, few studies have focused on the user experience in the TikTok context. This study adopts a technology affordance theory lens to identify the main mechanisms contributing to the user experience in the short-video platform context while including user experience level and video length as moderating effects.

This study collected 401 valid questionnaires from TikTok users and used the structural equation modeling approach to examine the proposed research model.

Three technology affordances (perceived effortlessness, perceived recommendation accuracy, and perceived recommendation serendipity) contribute to TikTok users' optimal flow experience. Multi-group analysis results further indicate that individuals react differently to the same stimuli as their experience level increases. Finally, video length critically influences the impact of technology affordances on users' cognitive responses.

As a burgeoning industry, the mechanisms enabling short-video platforms to engage users remain unclear to practitioners and researchers. Thus, this study's technology affordance lens provides necessary insights into how TikTok's innovative and advanced technologies contribute to user flow experience from a context-dependent perspective. Furthermore, given that most existing studies have neglected possible variations in user preferences when investigating the effects of technology, this study enriches the existing literature by employing user experience level and video length as moderators.

In today's digital and post-pandemic era, construction teams can span their boundary to obtain important resources and support in computer-mediated ways. However, the benefits of computer-mediated team boundary spanning (TBS) are mostly assumed. Empirical evidence for these benefits is in lack. Thus, this study attempts to investigate the influence of computer-mediated (instant messaging in this study) TBS on construction project performance and the underlying mechanism.

From the multiteam system (MTS) perspective, this study employs the input-process-outcome (IPO) framework and coordination theory to explore the influence of instant messaging-based team boundary spanning (IMTBS) on construction project coordination processes and project performance. A theoretical model is built and validated with a survey involving 206 construction projects.

Results show that IMTBS positively affects knowledge integration and project coordination, but negatively affects project commitment. The positive link between IMTBS and project performance is attributable to knowledge integration and project coordination. Further, project commitment is also found to negatively mediate the relationship between IMTBS and construction project performance.

To the best of the authors’ knowledge, this study is the first to empirically investigate the influence of TBS on construction project performance. As such, this study contributes to the literature on TBS in the construction field. In addition, the findings of this study unveil the double-edged characteristic of IMTBS, which should attract managers' attention. This also indicates that the form of TBS is a significant determinant of its effectiveness, which should attract scholars' attention in the future.

Apart from the geometries to be dealt with, rapid prototyping (RP) of heterogeneous objects requires additional material information to be processed. This generally involves a large amount of information to be processed simultaneously. The robustness and efficiency problems, which seem less critical in homogeneous solid fabrications, become an issue. The direct impetus of this paper is to present robust and efficient algorithms for RP of heterogeneous objects.

The robustness is benefited from using the proposed non‐manifold heterogeneous cellular model, which guarantees gap‐free material depositions around material interfaces. The efficiency enhancement is achieved by eliminating repetitive boundary intersections and using a heuristic material interrogation approach.

By using the proposed algorithms, the robustness and efficiency of RP of heterogeneous objects can be improved. It is found that an average 30 percent efficiency improvement is obtained using the proposed heuristic material interrogation approach.

Non‐manifold heterogeneous cell representation (HC‐Rep) is used in RP fields for the first time. Based on the HC‐Rep, the robustness and efficiency of RP of heterogeneous object is addressed in this paper.