We present RL-GAN-Net, where a reinforcement learning (RL) agent provides fast and robust control of a generative adversarial network (GAN). Our framework is applied to point cloud shape completion that converts noisy, partial point cloud data into a high-fidelity completed shape by controlling the GAN. While a GAN is unstable and hard to train, we circumvent the problem by (1) training the GAN on the latent space representation whose dimension is reduced compared to the raw point cloud input and (2) using an RL agent to find the correct input to the GAN to generate the latent space representation of the shape that best fits the current input of incomplete point cloud. The suggested pipeline robustly completes point cloud with large missing regions. To the best of our knowledge, this is the first attempt to train an RL agent to control the GAN, which effectively learns the highly nonlinear mapping from the input noise of the GAN to the latent space of point cloud. The RL agent replaces the need for complex optimization and consequently makes our technique real time. Additionally, we demonstrate that our pipelines can be used to enhance the classification accuracy of point cloud with missing data.

PurposeWith an emphasis on displaced aggression theory and social exchange theory, this study aims to investigate the harmful effects of exploitative leadership (EL) on employee creativity (EC) through the mediating role of knowledge hiding (KH). Moreover, this study examines the boundary effects of leader–member exchange (LMX) to explore conditions under which KH is more or less likely to occur.Design/methodology/approachThe study employed time-lagged (i.e. three-wave), multisource (i.e. self-rated and peer-rated) research design to collect data from employees working in Pakistani service sector organizations. The study analyzed 323 responses using SMART PLS (v 3.3.3) to assess the measurement model and the structural model.FindingsThe findings reveal that EL is positively related to KH and negatively related to EC. The results also show partial mediating role of KH in the indirect relationship between EL and EC. Besides, the study also found that LMX moderates the positive relationship between EL and KH, and the negative relationship between EL and EC.Practical implicationsThe study divulges interesting findings that subordinates at high-quality LMX relationships (i.e. in-group members) are more susceptible to the harmful effects of supervisory unjust treatment than at low-quality LMX relationships (i.e. out-group members). Thus, occurrence context of KH, i.e. EL should be minimized through appropriate organizational interventions.Originality/valueThis study contributes to the leadership and knowledge management literature by testing a hitherto unexplored moderated mediation model.

PurposeAs humanitarian logistics (HL) functions in complicated, changing and ambiguous situations, all people, particularly the educated youth, have to know how to control the situation and assist victims, which are best achieved through formal education and training. Teaching at university has been extensively used in the context of business logistics. However, education in HL is a poorly researched field and, consequently, this article explores education for sustainable development in HL. The study addresses the following research question: How the teaching of HL at university can help to increase HL performance (HLP) and to reduce suffering.Design/methodology/approachA covariance-based structure equation modeling (CB-SEM) is implemented on the basis of confirmatory factor analysis.FindingsThe results show that the association between the explanatory variables and the dependent variable (HLP) is mediated by sustainability, and that the teaching of HL at university plays a vital role in enhancing HLP and is therefore a very suitable approach for sustainable development in HL. This direct approach is creative, informative and productive practice for both students and teachers.Originality/valueIn spite of the growing number of activities and courses in supply chain and logistics education, no study, to the best of our knowledge, has empirically analyzed the critical topic of whether or not education can bring sustainable development in HL. In order to save lives and reduce the suffering of victims, this study attempts to fill this gap.

Social media has turned out to be a significant tool which reinforces both, consumer and firm to interact with each other and also modernizing the firm's way of relationship with consumer. Based on the commitment-trust theory of relationship marketing this study investigates the social media capabilities to attain consumer brand engagement. The relationship is moderated through the rarely addressed role of trust across consumers of Pakistani textile manufactured garment products. This study is quantitative in nature and followed deductive research approach. The primary data were collected through well-structured questionnaire from 307 domestic customers. The data was analyzed through advanced statistical techniques operated under smart-PLS and SPSS. The results disclosed that networking capability, image transferability and personal extensibility positively affects consumer brand engagement. The moderating role of trust is also established between the proposed relationships. The results are discussed and recommendations are provided to the targeted sector. The research findings are expected to be beneficial for targeted sector in particular and for other sectors in general.

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