Wangping Wu, Xiang Wang, Qun Wang, Jianwen Liu, Yi Zhang, Tongshu Hua and Peng Jiang
The purpose of this paper is to maraging 18Ni-300 steel fabricate by powder bed based selective laser melting (SLM) process. Microstructure and mechanical properties of the…
Abstract
Purpose
The purpose of this paper is to maraging 18Ni-300 steel fabricate by powder bed based selective laser melting (SLM) process. Microstructure and mechanical properties of the maraging steel part before and after heat treatment at a slow cooling rate were investigated.
Design/methodology/approach
The microstructure of the printed part was observed by optical microscopy and scanning electron microscopy. The phases were determined by X-ray diffraction. The surface roughness of the part was recorded by a profilometer. The tensile properties and microhardness of the parts before and after heat treatment were characterized by an electronic universal tensile testing machine and a Vickers hardness tester, respectively.
Findings
Maraging 18Ni-300 steel part comprised of the martensitic phase and a small fraction of austenite phase. After heat treatment, the volume fraction of austenite slightly increased. The surface roughness of the part was about 96 µm. The printed part was dense, but irregular pores were present. The yield strength, ultimate tensile strength (UTS), elongation and Young’s modulus of as-fabricated parts were 554.7 MPa, 1173.1 MPa, 10.9% and 128.9 GPa, respectively. The yield strength, UTS, elongation and Young’s modulus of as-treated parts were 2065 MPa, 2225 MPa, 4.2% and 142.5 GPa, respectively. The microhardness values of surface and cross-section of the as-fabricated part were 407.1 HV and 443.0 HV, respectively. After short-time heat treatment, the microhardness values of the surface and cross-section of the part were 542.7 HV and 567.3 HV, respectively. After long-time heat treatment, the microhardness values of the surface and cross-section of the part were 524.4 HV and 454.8 HV, respectively. The microhardness and tensile strength increased significantly with decreasing elongation due to the changes in phases and microstructure of the parts after heat treatment.
Originality/value
This work studied the effect of heat treatment at 550°C combined with a subsequent slow cooling rate on microstructure and mechanical properties of maraging 18Ni-300 steel obtained by the powder bed based SLM process.
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Qiao Li, Chunfeng Liu, Jingrui Hou and Ping Wang
As an emerging tool for data discovery, data retrieval systems fail to effectively support users' cognitive processes during data search and access. To uncover the relationship…
Abstract
Purpose
As an emerging tool for data discovery, data retrieval systems fail to effectively support users' cognitive processes during data search and access. To uncover the relationship between data search and access and the cognitive mechanisms underlying this relationship, this paper examines the associations between affective memories, perceived value, search effort and the intention to access data during users' interactions with data retrieval systems.
Design/methodology/approach
This study conducted a user experiment for which 48 doctoral students from different disciplines were recruited. The authors collected search logs, screen recordings, questionnaires and eye movement data during the interactive data search. Multiple linear regression was used to test the hypotheses.
Findings
The results indicate that positive affective memories positively affect perceived value, while the effects of negative affective memories on perceived value are nonsignificant. Utility value positively affects search effort, while attainment value negatively affects search effort. Moreover, search effort partially positively affects the intention to access data, and it serves a full mediating role in the effects of utility value and attainment value on the intention to access data.
Originality/value
Through the comparison between the findings of this study and relevant findings in information search studies, this paper reveals the specificity of behaviour and cognitive processes during data search and access and the special characteristics of data discovery tasks. It sheds light on the inhibiting effect of attainment value and the motivating effect of utility value on data search and the intention to access data. Moreover, this paper provides new insights into the role of memory bias in the relationships between affective memories and data searchers' perceived value.
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Abstract
Purpose
Active interaction and knowledge contribution are vital yet challenging elements of the sustainable development of online health communities (OHCs). To investigate the cognitive mechanisms underlying these behaviours in doctors' and patients' use of OHCs, this study develops a theoretical model to examine the relationships among cognitive modes, patterns of interaction, perceived usefulness, and contribution behaviour and the impact of user identity on these relationships.
Design/methodology/approach
To test the research hypotheses, structural equation modelling and multiple-group analysis were used to analyse survey data from 207 doctors and 213 patients.
Findings
The results indicate that dual processes and perceived usefulness are the key cognitive antecedents of interaction and knowledge contribution, respectively. However, the correlation of the rational mode and instrumental interaction is significantly stronger in the doctors' group than in the patients' group, while a stronger correlation between the experiential mode and instrumental interaction is observed in the patients' group.
Practical implications
These findings support the development of information and system strategies to support the operation of dual processes underlying doctors' and patients' instrumental and affective interactions, facilitate evaluation and sense-making of interaction activities, and motivate knowledge contribution.
Originality/value
This study uncovers the invariance and variability in the relationships between salient cognitive activities and behavioural responses in doctors' and patients' use of OHCs and the impact of user identity on variability.
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Chuanfu Chen, Qiao Li, Zhiqing Deng, Kuei Chiu and Ping Wang
The purpose of this paper is to understand how Chinese library and information science (LIS) journal articles cite works from outside the discipline (WOD) to identify the impact…
Abstract
Purpose
The purpose of this paper is to understand how Chinese library and information science (LIS) journal articles cite works from outside the discipline (WOD) to identify the impact of knowledge import from outside the discipline on LIS development.
Design/methodology/approach
This paper explores the Chinese LIS’ preferences in citing WOD by employing bibliometrics and machine learning techniques.
Findings
Chinese LIS citations to WOD account for 29.69 percent of all citations, and they rise over time. Computer science, education and communication are the most frequently cited disciplines. Under the categorization of Biglan model, Chinese LIS prefers to cite WOD from soft science, applied science or nonlife science. In terms of community affiliation, the cited authors are mostly from the academic community, but rarely from the practice community. Mass media has always been a citation source that is hard to ignore. There is a strong interest of Chinese LIS in citing emerging topics.
Practical implications
This paper can be implemented in the reformulation of Chinese LIS knowledge system, the promotion of interdisciplinary collaboration, the development of LIS library collection and faculty advancement. It may also be used as a reference to develop strategies for the global LIS.
Originality/value
This paper fills the research gap in analyzing citations to WOD from Chinese LIS articles and their impacts on LIS, and recommends that Chinese LIS should emphasize on knowledge both on technology and people as well as knowledge from the practice community, cooperate with partners from other fields, thus to produce knowledge meeting the demands from library and information practice as well as users.
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Ping Wang, Yixia Hu, Qiao Li and Hanqin Yang
Journalism students, a special user group with the dual perspective of both social media general users and online journalists, and their trust in rumours is a valued but…
Abstract
Purpose
Journalism students, a special user group with the dual perspective of both social media general users and online journalists, and their trust in rumours is a valued but understudied topic in relation to preparing rational information users and professionals for rumour control. To reveal these trust mechanisms, this paper aims to identify salient psychological and behavioural factors related to journalism students’ different levels of trust.
Design/methodology/approach
Using structural equation modelling to analyse the survey data of 234 journalism students, this paper tested a theoretical model that considers self-efficacy and the expressive and consumptive use of social media rumours as the antecedents and consequences of trust belief and trust action, respectively.
Findings
Self-efficacy has a positive effect on trust belief but a negative effect on trust action. Trust belief positively affects expressive use of rumours, whereas trust action negatively affects consumptive use.
Practical implications
This study contributes to the cultivation of future online news gatekeepers.
Originality/value
This paper distinguishes journalism students’ trust mechanisms from those of general users and online journalists. The integration of dual process theories provides insights into trust-building processes related to rumours and advances the understanding of the anchoring and adjustment effects of self-efficacy on trust.
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Scott Dust, Joseph Rode and Peng Wang
Assumptions regarding the effect of leader self-enhancement values on leader-follower relationships are oversimplified. To advance this conversation, we test non-linear and…
Abstract
Purpose
Assumptions regarding the effect of leader self-enhancement values on leader-follower relationships are oversimplified. To advance this conversation, we test non-linear and congruence effects. We hypothesize that leader self-enhancement values (via prestige) have an inverted U-shaped relationship with employee perceptions of leader-member exchange (LMX) and leader interpersonal justice, and that leader-follower incongruence is negatively related to LMX and interpersonal justice.
Design/methodology/approach
To evaluate our hypotheses we use hierarchical regression, polynomial regression, and surface plot analysis. Our sample consists of 193 leader-follower dyads from a variety of organizations.
Findings
LMX and interpersonal justice increase as leader self-enhancement increases, but begin to decrease at higher levels of self-enhancement values. Additionally, leader-follower self-enhancement incongruence is negatively related to interpersonal justice. Finally, LMX is lowest when leaders are higher than followers in self-enhancement values compared to when followers are higher than leaders.
Practical implications
It is critical to evaluate the level of leader self-enhancement values and/or the joint influence of the follower values (self-enhancement) to fully understand the effect of leader values on follower perceptions of the dyadic relationship. Organizations interested in facilitating high-quality leader-follower relationships should focus on the levels of the values and on mechanisms that facilitate leader-follower value alignment.
Originality/value
This work extends prior research assuming a direct, linear effect of leader self-enhancement values on follower outcomes. To fully understand the influence of leader values it is important to consider curvilinear and congruence effects.
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Qiao Li, Ping Wang, Yifan Sun, Yinglong Zhang and Chuanfu Chen
With the advent of the intelligent environment, as novice researchers, graduate students face digital challenges in their research topic selection (RTS). The purpose of this paper…
Abstract
Purpose
With the advent of the intelligent environment, as novice researchers, graduate students face digital challenges in their research topic selection (RTS). The purpose of this paper is to explore their cognitive processes during data-driven decision making (DDDM) in RTS, thus developing technical and instructional strategies to facilitate their research tasks.
Design/methodology/approach
This study developes a theoretical model that considers data-driven RTS as a second-order factor comprising both rational and experiential modes. Additionally, data literacy and visual data presentation were proposed as an antecedent and a consequence of data-driven RTS, respectively. The proposed model was examined by employing structural equation modeling based on a sample of 931 graduate students.
Findings
The results indicate that data-driven RTS is a second-order factor that positively affects the level of support of visual data presentation and that data literacy has a positive impact on DDDM in RTS. Furthermore, data literacy indirectly affects the level of support of visual data presentation.
Practical implications
These findings provide support for developers of knowledge discovery systems, data scientists, universities and libraries on the optimization of data visualization and data literacy instruction that conform to students’ cognitive styles to inform RTS.
Originality/value
This paper reveals the cognitive mechanisms underlying the effects of data literacy and data-driven RTS under rational and experiential modes on the level of support of the tabular or graphical presentations. It provides insights into the match between the visualization formats and cognitive modes.
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Xulong Wang, Xuejiao Bai and Liming Zhao
This study explores the link between additional reviews, credibility, and consumers’ online purchasing behavior.
Abstract
Purpose
This study explores the link between additional reviews, credibility, and consumers’ online purchasing behavior.
Design/methodology/approach
We employ a 2 × 2 between-subjects design to measure subjects’ purchasing behavior with versus without additional reviews and with important versus non-important attributes. A total of 529 valid questionnaires are collected from university students across 30 Chinese provinces.
Findings
The addition of negative reviews to a positive initial review enhances consumers’ perceived credibility of the reviewer and the overall review content. This effect is positively moderated by the attribute importance in additional reviews. Moreover, we find that as the time interval increases, consumers’ perceived credibility gradually increases but eventually decreases after reaching a certain threshold. In addition, the attribute importance in additional reviews negatively moderates the impact of perceived credibility on consumer purchasing behavior.
Originality/value
Existing studies on first and subsequent reviews mainly focus on the difference in perceived usefulness between the two. They do not examine how additional reviews affect potential customers’ perceived credibility and their purchase decision-making. This study bridges the gap between the word-of-mouth literature and marketing practices.
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Gopi Battineni, Nalini Chintalapudi and Francesco Amenta
After the identification of a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at Wuhan, China, a pandemic was widely spread worldwide. In Italy, about 240,000…
Abstract
Purpose
After the identification of a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at Wuhan, China, a pandemic was widely spread worldwide. In Italy, about 240,000 people were infected because of this virus including 34,721 deaths until the end of June 2020. To control this new pandemic, epidemiologists recommend the enforcement of serious mitigation measures like country lockdown, contact tracing or testing, social distancing and self-isolation.
Design/methodology/approach
This paper presents the most popular epidemic model of susceptible (S), exposed (E), infected (I) and recovered (R) collectively called SEIR to understand the virus spreading among the Italian population.
Findings
Developed SEIR model explains the infection growth across Italy and presents epidemic rates after and before country lockdown. The results demonstrated that follow-up of strict measures such that country lockdown along with high testing is making Italy practically a pandemic-free country.
Originality/value
These models largely help to estimate and understand how an infectious agent spreads in a particular country and how individual factors can affect the dynamics. Further studies like classical SEIR modeling can improve the quality of data and implementation of this modeling could represent a novelty of epidemic models.