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The purpose of this paper is to empirically investigate the negative casual relationships between organizational security factors (security systems, security education, and security visibility) and individual non-compliance causes (work impediment, security system anxiety, and non-compliance behaviors of peers), which have negative influences on compliance intention.

Based on literature review, the authors propose a research model together with hypotheses. The survey questionnaires were developed to collect data, which then validated the measurement model. The authors collected 415 responses from employees at manufacturing and service firms that had already implemented security policies. The hypothesized relationships were tested using the structural equation model approach with AMOS 18.0.

Survey results validate that work impediment, security system anxiety, and non-compliance peer behaviors are the causes of employee non-compliance. In addition, the authors found that security systems, security education, and security visibility decrease instances of non-compliance.

Organizations should establish a mixture of security investment in their systems, education, and visibility in order to effectively reduce employees’ non-compliance. In addition, organizations should recognize the importance of minimizing the particular causes of employees’ non-compliance to positively increase intentions to comply with information security.

An important issue in information security management is employee compliance. Understanding the reasons behind employees’ non-compliance is a critical issue. This paper investigates empirically why employees do not comply, and how organizations can induce employees to comply by a mixture of investments in security systems, education, and visibility.

Organizations invest in information security (IS) technology to be more competitive; however, implementing IS measures creates environmental conditions, such as overload uncertainty, and complexity, which can cause employees technostress, eventually resulting in poor security performance. This study seeks to contribute to the intersection of research on regulatory focus (promotion and prevention) as a type of individual personality traits, technostress, and IS.

A survey questionnaire was developed, collecting 346 responses from various organizations, which were analyzed using the structural equation model approach with AMOS 22.0 to test the proposed hypotheses.

The results indicate support for both the direct and moderating effects of security technostress inhibitors. Moreover, a negative relationship exists between promotion-focused employees and facilitators of security technostress, which negatively affects strains (organizational commitment and compliance intention).

Organizations should develop various programs and establish a highly IS-aware environment to strengthen employees' behavior regarding IS. Furthermore, organizations should consider employees' focus types when engaging in efforts to minimize security technostress, as lowering technostress results in positive outcomes.

IS management at the organizational level is directly related to employees' compliance with security rather than being a technical issue. Using the transaction theory perspective, this study seeks to enhance current research on employees' behavior, particularly focusing on the effect of individuals' personality types on IS. Moreover, this study theorizes the role of security technostress inhibitors for understanding employees' IS behaviors.

Sitting in a chair is a typical act of modern people. Prolonged sitting and sitting with improper postures can lead to musculoskeletal disorders. Thus, there is a need for a sitting posture classification monitoring system that can predict a sitting posture. The purpose of this paper is to develop a system for classifying children’s sitting postures for the formation of correct postural habits.

For the data analysis, a pressure sensor of film type was installed on the seat of the chair, and image data of the postu.re were collected. A total of 26 children participated in the experiment and collected image data for a total of seven postures. The authors used convolutional neural networks (CNN) algorithm consisting of seven layers. In addition, to compare the accuracy of classification, artificial neural networks (ANN) technique, one of the machine learning techniques, was used.

The CNN algorithm was used for the sitting position classification and the average accuracy obtained by tenfold cross validation was 97.5 percent. The authors confirmed that classification accuracy through CNN algorithm is superior to conventional machine learning algorithms such as ANN and DNN. Through this study, we confirmed the applicability of the CNN-based algorithm that can be applied to the smart chair to support the correct posture in children.

This study successfully performed the posture classification of children using CNN technique, which has not been used in related studies. In addition, by focusing on children, we have expanded the scope of the related research area and expected to contribute to the early postural habits of children.

This study aims to explore relationships among supervisors’ socialization behaviors, newcomers’ socialization outcomes, organizational commitment, and work outcomes in three large companies in Korea.

The research was conducted via an online survey in three large firms in Korea. The sample comprised newcomers who had worked for more than six months but less than one year in these firms. The collected data were analyzed using descriptive statistics and structural equation modeling (SEM).

Derived from SEM, the study’s results confirmed a causal relationship between supervisor’s socialization behaviors and newcomer’s work outcomes, which was fully mediated by newcomer’s socialization outcomes. However, organizational commitment was observed as a mediating variable, not a moderating variable. All types of supervisors’ socialization behaviors were related to newcomers’ socialization outcomes. Providing appropriate feedback, supporting newcomers’ development and improving social relationships were most strongly related to newcomers’ socialization outcomes.

This study proposed a rationale for the potential effectiveness of supervisor socialization behavior training. Related variables such as supervisor training aspects and the effectiveness of supervisor training for newcomers’ organizational socialization could be examined further.

The study offers critical areas to consider when designing training programs focused on supervisors’ socialization behaviors. Human resource development practitioners should be aware of the importance of supervisors’ socialization behaviors for newcomers’ organizational socialization and develop a program to improve all types of supervisors’ socialization behaviors.

New areas of training and development for supervisors can be proposed to improve newcomer organizational socialization and, eventually, to enhance the work outcomes of newcomers.

As a means of data acquisition for the situation awareness, computer vision-based motion capture technologies have increased the potential to observe and assess manual activities for the prevention of accidents and injuries in construction. This study thus aims to present a computationally efficient and robust method of human motion data capture for the on-site motion sensing and analysis.

This study investigated a tracking approach to three-dimensional (3D) human skeleton extraction from stereo video streams. Instead of detecting body joints on each image, the proposed method tracks locations of the body joints over all the successive frames by learning from the initialized body posture. The corresponding body joints to the ones tracked are then identified and matched on the image sequences from the other lens and reconstructed in a 3D space through triangulation to build 3D skeleton models. For validation, a lab test is conducted to evaluate the accuracy and working ranges of the proposed method, respectively.

Results of the test reveal that the tracking approach produces accurate outcomes at a distance, with nearly real-time computational processing, and can be potentially used for site data collection. Thus, the proposed approach has a potential for various field analyses for construction workers’ safety and ergonomics.

Recently, motion capture technologies have rapidly been developed and studied in construction. However, existing sensing technologies are not yet readily applicable to construction environments. This study explores two smartphones as stereo cameras as a potentially suitable means of data collection in construction for the less operational constrains (e.g. no on-body sensor required, less sensitivity to sunlight, and flexible ranges of operations).

The purpose of this paper is to identify extant training needs for preparing supervisors to support newcomers’ organizational socialization and to develop a research agenda concerning aspects that conduce to making supervisors efficacious in the process of organizational socialization.

A review of the literature on the development of socialization agents for organizational socialization generally indicates that relatively minimal research has been undertaken on this topic. Most articles have focused on the effects of organizational socialization on other variables – such as newcomers’ work outcomes, turnover intention and organizational commitment. The review was conducted in light of this phenomenon. It is based on the structured literature review method, per Rocco, Stein and Lee (2003).

Supervisor training is suggested as a means for enhancing organizational socialization. However, supervisor training is not often studied in organizational socialization research. Therefore, the verification of the impact of supervisor training on organizational socialization is required. Given the proposed research agenda, identifying the impact of supervisor training on different areas of organizational socialization domains and inspiring increased interest on supervisor training as an effective program for organizational socialization are logical outcomes.

The concept of socialization is used in broad areas of research, such as education, military and engineering. However, it was reviewed here vis-à-vis human resource development (HRD). Therefore, the focus was on the notion of organizational socialization, which is appropriate for employee training development. The concept of organizational socialization in this paper, therefore, was delimited, as it failed to include all meanings of socialization. This paper sought to review all studies related to organizational socialization. However, some research was not considered and, thus, not discussed in this paper. This was because of time and resource constraints. The author sorted previous studies by personal standards and, thus, may have inadvertently included non-germane or excluded relevant citations.

Supervisory training for organizational socialization can be proposed as a potential area for leading to an effective organizational socialization program. So HRD professionals should study further about the topic and develop such programs. Increased attention on supervisor training for organizational socialization may increase the number and quality of supervisor training programs. Such studies would augment HRD professionals’ knowledge about organizational socialization and eventually enhance performance in organizations.

This paper can expand the area in which social learning theory can be applied. According to Bandura and Walters (1977), the social learning theory posits that learning new behaviors can usually be acquired by observing and imitating others. This implies that newcomers emulate other organizational members to adapt to the organization and their assigned roles. In this process, supervisors can play a key role through showing them the appropriate behaviors, supporting their learning and providing appropriate feedback. Presumably, then, new employees may perform better if supervisors receive training on crucial socialization efforts.

Significantly, socialization agents are uniquely situated to greatly impact the organizational socialization process of newcomers. Among the socialization agents, supervisors garner enormous influence on newcomers’ organizational socialization. However, relatively few studies investigated the training of supervisors for organizational socialization.

Construction is a risky industry. Therefore, organizations are seeking ways towards improving their safety performance. Among these, the integration of technology into health and safety leads to enhanced safety performance. Considering the benefits observed in using technology in safety, this study aims to explore digital technologies' use and potential benefits in construction health and safety.

An extensive bibliometrics analysis was conducted to reveal which technologies are at the forefront of others and how these technologies are used in safety operations. The study used two different databases, Web of Science (WoS) and Scopus, to scan the literature in a systemic way.

The systemic analysis of several studies showed that the digital technologies use in construction are still a niche theme and need more assessment. The study provided that sensors and wireless technology are of utmost importance in terms of construction safety. Moreover, the study revealed that artificial intelligence, machine learning, building information modeling (BIM), sensors and wireless technologies are trending technologies compared to unmanned aerial vehicles, serious games and the Internet of things. On the other hand, the study provided that the technologies are even more effective with integrated use like in the case of BIM and sensors or unmanned aerial vehicles. It was observed that the use of these technologies varies with respect to studies conducted in different countries. The study further revealed that the studies conducted on this topic are mostly published in some selected journals and international collaboration efforts in terms of researching the topic have been observed.

This study provides an extensive analysis of WoS and Scopus databases and an in-depth review of the use of digital technologies in construction safety. The review consists of the most recent studies showing the benefits of using such technologies and showing the usage on a systemic level from which both scientists and practitioners can benefit to devise new strategies in technology usage.

The purpose of this paper was to map the safety management research of construction industry by scientometric analysis, which can predict important highlights and future research directions of safety management research in the construction industry. As an important issue in the construction industry, safety management issues have been researched from different perspectives. Although previous studies make knowledge contributions to the safety management research of construction industry, there are still huge obstacles to distinguish the comprehensive knowledge map of safety management research in the construction industry.

This study applies three scientometric analysis methods, collaboration network analysis, co-occurrence network analysis and cocitation network analysis, to the safety management research of construction industry. 5,406 articles were retrieved from the core collection database of the Web of Science. CiteSpace was used for constructing a comprehensive analysis framework to analyze and visualize the safety management research of construction industry. According to integrating the analysis results, a knowledge map for the safety management research of construction industry can be constructed.

The analysis results revealed the academic communities, key research topics and knowledge body of safety management research in the construction industry. The evolution paths of safety management research in the construction industry were divided into three development stages: “construction safety management”, “multi-objective safety management” and “comprehensive safety management”. Five research directions were predicted on the future safety management research of construction industry, including (1) comprehensive assessment indicators system; (2) intelligent safety management; (3) cross-organization collaboration of safety management; (4) multilevel safety behavior perception and (5) comparative analysis of safety climate.

The findings can reveal the overall status of safety management research in the construction industry and represent a high-quality knowledge body of safety management research in the construction industry that accurately reflects the comprehensive knowledge map on the safety management research of construction industry. The findings also predict important highlights and future research directions of safety management research in the construction industry, which will help researchers in the safety management research of construction industry for future collaboration and work.

This study aims to examine the value relevance of ethics information.

This study adopts event study methodology to test the market’s reaction around the announcements of World’s Most Ethical Companies (WME), a ranking based on firms’ overall corporate social responsibility performance. The authors calculate the abnormal returns of firms on the WME lists to investigate how stockholders respond to the disclosure of ethical information.

The authors find significant and positive abnormal returns around the announcements of the lists of ethical firms. Specifically, positive market reaction on the first day after the WME announcement (Day 1) is observed.

This study contributes to the existing literature of the relationship between business ethics and firm value. The authors provide evidence that ethics can be aligned with firms’ financial goals. Further, this study is the first to use the WME announcement as a proxy for ethical firms.

Since the financial crisis, East Asian countries have worked on bilateral/regional Free Trade Agreements (FTAs). Currently, East Asian countries are working on over 30 FTAs. So far, the United States (U.S.) has exerted its considerable political and economic power in East Asia, but its political and diplomatic position is increasingly shaky for many reasons-emergence of China’s economic and military strength, growing regionalism in East Asia, weakening influence of the Asia Pacific Economic Conference (APEC) forum, and growing anti-American sentiment after the anti-terrorism war. The U.S. will be even more concerned about the development of FTAs in East Asia, since the country will suffer economic and non-economic losses when the East Asian regionalism is developed. This article evaluates a U.S.-Korea FTA in terms of U.S. involvement in East Asian regionalism, and tries to provide an economic assessment of the FTA. This article points out that the U.S. should take advantage of the U.S.-Korea FTA to secure its interests in East Asia and to avoid exclusion from East Asian regional economic integration.