Search results

Today, online malicious comments are serious issues. They can cause psychological distress and suicide of victims. Although prior studies have focused on the role of anonymity as a major factor in making these comments, results of these studies have been inconsistent. On the other hand, the need for attention from others can provide an alternative explanation for such malicious comments. However, this perspective has been rarely studied. Therefore, the objective of this study was to investigate effects of anonymity and need for attention on posting malicious comments online and compare these two factors, resolving dark sides of online interaction.

This study obtained 327 questionnaires of Facebook users through a survey and analyzed the research model using partial least squares (PLS) regression.

Results of this study revealed that the need for attention affected malicious comments through partial mediation of neutralization. On the other hand, anonymity did not significantly affect malicious comments.

This study has the following academic implications. First, we empirically examined the critical influence of need for attention on making malicious comments online based on the impression management theory. Second, this study revealed that the influence of need for attention on making malicious comments was partially mediated by neutralization. Third, this study may offer an explanation for contradicting findings on the role of anonymity in the phenomenon of posting malicious comments online.

Practical implications of this study are as follows. First, SNS platforms can limit activities of persons who post malicious comments frequently. Second, this study suggests that a notice is needed to inform the seriousness and harmful consequences of malicious comments. Third, Facebook practitioners should be aware that low anonymity may not reduce malicious comments.

This study quantitatively examined the effect of need for attention on malicious comments based on the impression management theory. It provides a fact that individuals who want to attract attention from others would write malicious comments through neutralization.

Based on the analysis of the data of the landscape live performances which have already been performed, this paper combs the development process of the live performances and other information of the performance types so that the public can have a clearer and clearer understanding of the live performances. Through time-frequency domain analysis method, the characteristic elements of waveform music are extracted and classified into sub-music segments in different rough emotional domains according to certain classification methods. And the application weights of the feature values of each music feature are defined in different emotion domains, which makes the input of the system more rational. For the output of the light action control data, this article has a certain interpretation of the DMX512 data, making the interpretation of the output more intuitive. The basic characteristics of music include speed, mode, beat, tone, volume, and the pitch, pitch, and length of notes. Therefore, in the future, the method of realizing music visualization in architectural lighting design and the method of realizing interaction with people will have more possibilities.

The purpose of this paper is to examine the effect of internal pores on the tensile properties of a Co–Cr–Mo alloy fabricated by selective laser melting (SLM).

The size and volume fraction of pores were controlled through high temperature annealing (HTA) and hot isostatic pressing (HIP).

After HTA, the size and fraction of pores decreased compared with the as-built SLM sample, and no pores were observed after HIP. Tensile tests of the HTA and HIP samples showed nearly similar tensile deformation behavior. From the results, the authors found that the size of the internal pores formed in the SLM process had little effect on the tensile properties. The as-built SLM sample had less elongation than the HTA and HIP samples, which would not the effect of porosity, but rather the effect of the residual stress and the retained ε phase after the SLM process.

Although pores are a main factor that influence the mechanical properties, the effect of pores on the tensile properties of Co–Cr–Mo alloys fabricated by SLM has not been studied. Therefore, in this study, the effect of pores on the tensile properties of a Co–Cr–Mo alloy fabricated by SLM was studied.

The purpose of the current research was to examine the different relationships between individuals' sense of community in sport (SCS) cultivated by participating in local sport leagues, social support and health-related psychological outcomes (i.e. depressive symptoms and happiness) based on the participants' involvement level in the tennis league.

Using participants (n = 150) from local tennis leagues in the Southeastern region of the USA, the authors first conducted an instrument validation procedure to assess the psychometric properties of the included measures, and second, the authors analyzed the proposed multigroup moderated-mediation structural model using component-based partial least squares structural equation modeling with SmartPLS 3 (Ringle et al., 2015).

The results provide adequate evidence of reliability and validity for both the included reflective and formative constructs. Further, the findings of the proposed moderated-mediation structural model indicated that SCS was positively and significantly associated with social support and happiness while negatively related with depressive symptoms. Social support only mediated the relationship between SCS and happiness. The multigroup analysis results showed significant differences in the relationship between social support and happiness between the least involved group and more involved groups.

The findings of this study indicated that SCS experienced through participation in local sport leagues can develop both the extent and quality of supportive social relationships with other engaging members. One conclusion from the findings is recognizing a need to develop interventions to enhance SCS, social support and health-related psychological outcomes through local sport league participation.

The purpose of this paper is to investigate the mediating role of silence as a link between punishment, communication opportunities and stress.

The authors conducted a survey among 1,015 highly skilled employees of South Korean companies using a self-administered instrument. In total, 748 questionnaires were received from the 1,015 participants. Of these, 61 questionnaires were incomplete and were discarded; the remaining 687 questionnaires were used in the analysis.

The results revealed that punishment and communication opportunities are significantly associated with silence. Silence showed a positive relationship with stress, and it mediates the relationship between punishment and stress. Meanwhile, findings indicate that silence does not mediate the link between communication opportunities and stress.

This study investigates the unitary construct of silence. Therefore, the authors suggest future researchers examine the other forms of silence such as multidimensional construct of silence that focuses on the motives of individuals to be silent.

The study highlights the importance of establishing organizational ombudsman system, grievance procedures and employee management meetings to mitigate silence behavior. Moreover, the authors recommended management demonstrates their interest in shared information to avoid employee silence.

This study is the first to explore the mediating role of silence on the relationship between punishment and stress.

It is our pleasure to present this regular issue of Open House International. In this issue (Vol.44, No. 3, 2019), we selected 33 papers which have gone through several rounds of review and revision, and represent a cross-section of research in building management, construction management, house economics & management, urban planning areas that touch upon both building and housing issues. Open House International is only this outsourced issue supplier as the publisher. This editorial remark also indemnifies the Open House International from any responsibility for the content and presentation of this issue.

During the early 1970s, per capita income of Koreans increased rapidly. The increased income was due to the speedy industrialization. Both increased income and mounting stress from jobs and the industrialized environment together induced Koreans to travel away from home to relax and regain strength to work.

Accurate and timely cost prediction is critical to the success of construction projects which is still facing challenges especially at the early stage. In the context of rapid development of machine learning technology and the massive cost data from historical projects, this paper aims to propose a novel cost prediction model based on historical data with improved performance when only limited information about the new project is available.

The proposed approach combines regression analysis (RA) and artificial neural network (ANN) to build a novel hybrid cost prediction model with the former as front-end prediction and the latter as back-end correction. Firstly, the main factors influencing the cost of building projects are identified through literature research and subsequently screened by principal component analysis (PCA). Secondly the optimal RA model is determined through multi-model comparison and used for front-end prediction. Finally, ANN is applied to construct the error correction model. The hybrid RA-ANN model was trained and tested with cost data from 128 completed construction projects in China.

The results show that the hybrid cost prediction model has the advantages of both RA and ANN whose prediction accuracy is higher than that of RA and ANN only with the information such as total floor area, height and number of floors.

(1) The most critical influencing factors of the buildings’ cost are found out by means of PCA on the historical data. (2) A novel hybrid RA-ANN model is proposed which proved to have the advantages of both RA and ANN with higher accuracy. (3) The comparison among different models has been carried out which is helpful to future model selection.

This study aims to investigate the multiple entrepreneurial, technology and marketing orientations effects on education service firm performance (FP) and the mediating role of information technology (IT) adoption capability.

Empirical research based on 535 education service small and medium enterprises (SMEs) in Indonesia and Singapore. Various validity and reliability tests were carried on before the actual analysis was conducted using structural equation modeling.

The results conclude that IT adoption capability is crucial for entrepreneurial and technology orientation (TO) to produce higher FP. This finding supports that IT capability is effective at helping firms implement their strategic orientations (SOs). In addition, market orientation (MO) influence on FP is more direct than other orientations under investigation.

This study suggests that SOs, particularly entrepreneurial and technology, enable managers to improve FP via the development of IT adoption capability. The result shows that firms with multiple SOs would be able to respond to market challenges, utilize new technology and become more innovative, which eventually yields higher performance.

This study extends the understanding of multiple SOs influence on FP using the mechanism of IT adoption capability.

This paper aims to explain how Web 2.0, social connectedness online, has created incredible new business options. This research’s primary goal is to help businesses use these resources more effectively and perform better.

Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

Theories encompassing social support and related approaches to “word of mouth” online, electronic purchasing and virtual communities mediated by technological platforms are the foundational frameworks for this research piece. It then produces a statistical model that enables users to predict how social commerce (s-commerce) building blocks, including forums, communities, ratings and reviews and recommendations, assist businesses in introducing innovative strategies to win in the digital markets. The results necessarily focus on trust, an essential component of e-commerce. Reciprocally, the study reverses engineer’s trust through the constructs of this moment mentioned.

The present study describes the scope of empirical testing and validation of this framework and assists practitioners in further strengthening s-commerce strategy, an emerging and essential platform in the e-commerce industry.

Research highlights the dearth of current analysis in such conceptual domains while generating novel research insights aimed at e-commerce and digital business. From the viewpoint of potential and recurring customers who interact with online communities and product offerings, the study captures the essence of human interactions, often known as trade relationships, online.