@article{KhawCamilleriTiberiusetal.2023,
  author    = {Khaw, Khai Wah and Camilleri, Mark and Tiberius, Victor and Alnoor, Alhamzah and Zaidan, Ali Shakir},
  title     = {Benchmarking electric power companies' sustainability and circular economy behaviors},
  series = {Environment, development and sustainability},
  volume    = {35},
  journal   = {Environment, development and sustainability},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1387-585X},
  doi       = {10.1007/s10668-023-02975-x},
  pages     = {39},
  year      = {2023},
  abstract  = {This research examines the impact of firms' decision-making, crisis management, and risk-taking behaviors on their sustainability and circular economy behaviors through the mediating role of their eco-innovation behavior in the energy industry in Iraq. Firms are exploring applicable mechanisms to increase green practices. This requires the industry to possess the essential skills to overcome the challenges that reduce sustainable activities. We applied a dual-stage structural equation modeling (PLS-SEM) and a multi-criteria decision-making (MCDM) approach to explore the linear relationships between variables, determine the weight of the criteria, and rank energy companies based on a circular economy. The online questionnaire was sent to 549 managers and heads of departments of Iraqi electric power companies. Out of these, 384 questionnaires were collected. The results indicate that firms' crisis management, decision-making, and risk-taking behaviors are significantly and positively linked to their eco-innovation behavior. This study confirms the significant and positive impact of firms' eco-innovation behavior on their sustainability and circular economy behaviors. Likewise, eco-innovation behavior has a fully mediating role. For the MCDM methods, ranking energy companies according to the circular economy can support policymakers' decisions to renew contracts with leading companies in the ranking. Practitioners can also impose government regulations on low-ranked companies. Thus, governments can reduce the problems of greenhouse gas emissions and other environmental pollution.},
  language  = {en}
}
@article{XinYingTiberiusAlnooretal.2024,
  author    = {XinYing, Chew and Tiberius, Victor and Alnoor, Alhamzah and Camilleri, Mark and Khaw, Khai Wah},
  title     = {The dark side of metaverse: a multi-perspective of deviant behaviors from PLS-SEM and fsQCA findings},
  series = {International journal of human-computer interaction},
  journal   = {International journal of human-computer interaction},
  publisher = {Taylor \& Francis},
  address   = {London},
  issn      = {1044-7318},
  doi       = {10.1080/10447318.2024.2331875},
  pages     = {21},
  year      = {2024},
  abstract  = {The metaverse has created a huge buzz of interest because such a phenomenon is emerging. The behavioral aspect of the metaverse includes user engagement and deviant behaviors in the metaverse. Such technology has brought various dangers to individuals and society. There are growing cases reported of sexual abuse, racism, harassment, hate speech, and bullying because of online disinhibition make us feel more relaxed. This study responded to the literature call by investigating the effect of technical and social features through mediating roles of security and privacy on deviant behaviors in the metaverse. The data collected from virtual network users reached 1121 respondents. Partial Least Squares based structural equation modeling (PLS-SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA) were used. PLS-SEM results revealed that social features such as user-to-user interaction, homophily, social ties, and social identity, and technical design such as immersive experience and invisibility significantly affect users' deviant behavior in the metaverse. The fsQCA results provided insights into the multiple causal solutions and configurations. This study is exceptional because it provided decisive results by understanding the deviant behavior of users based on the symmetrical and asymmetrical approach to virtual networks.},
  language  = {en}
}