Role of Peer Coaching in Transmitting the Benefits of Leader Coaching

Drawing on social information processing theory, the present study examines how and when leader coaching can be beneficial for team performance. Based on a sample of 58 teams from a sanitary product company in China, we found that peer coaching served as a mediator linking leader coaching and team performance. Moreover, the team individualistic/collectivism value moderated the first-stage relationship that the relationship between leader coaching and peer coaching was more positive when the team individualism value was low, but not significant when the team individualism value was high; while team task interdependence moderated the second-stage relationship that the relationship between peer coaching and team performance was more positive when the team task interdependence was high, but not significant when it was low. The findings enrich our understandings of the effectiveness of leader coaching behavior by uncovering the theoretical mechanism and boundary conditions. The study also provides important implications for coaching practice in organizations.

The curvilinear effect of top management team task-related demographic faultlines on over-investment

PurposeThis study empirically examines the curvilinear relationship between top management team task-related demographic faultlines and over-investment, as well as how biodemographic faultlines and industrial environment moderate the curvilinear relationship between task-related demographic faultlines and over-investment.Design/methodology/approachThe study designs the panel data from the listed companies of China's growth enterprises board (GEB) (set up by Shenzhen Stock Exchange in 2009) in the period 2011–2016 and uses hierarchical regression analysis and grouping regression analysis in exploring the curvilinear relationship with the variables involved.FindingsThe study provides empirical insights into the relationship on top management team (TMT) task-related demographic faultlines and over-investment, as well as how biodemographic faultlines and industrial environment moderate the relationship between task-related demographic faultlines and over-investment. It suggests that the relationship between task-related demographic faultlines and over-investment is significantly inverted-U. Furthermore, biodemographic faultlines and industrial environment can strengthen the inverted-U relationship between TMT task-related demographic faultlines and over-investment.Research limitations/implicationsThe study investigates the influence of task-related demographic faultlines on firm over-investment. The sample is restricted to the listed companies on GEM in China and limited in size. It is also not concerned with the cross-culture contrastive analysis between the Chinese- and Western-listed companies.Practical implicationsThe findings suggest that strong/weak TMT task-related demographic faultlines is beneficial in promoting rational investment, but medium TMT task-related demographic faultlines may lead to over-investment.Originality/valueThe study within the crossed-categorization theory, the study provides a contemporary research path by moderating biodemographic faultlines and industrial environments to explain the long-ignored impact of TMT faultlines within a new perspective of firm investment efficiency with a recent significant sample of new emerging countries (e.g. China).

CNN-Based Acoustic Scene Classification System

Acoustic scene classification (ASC) categorizes an audio file based on the environment in which it has been recorded. This has long been studied in the detection and classification of acoustic scenes and events (DCASE). This presents the solution to Task 1 of the DCASE 2020 challenge submitted by the Chung-Ang University team. Task 1 addressed two challenges that ASC faces in real-world applications. One is that the audio recorded using different recording devices should be classified in general, and the other is that the model used should have low-complexity. We proposed two models to overcome the aforementioned problems. First, a more general classification model was proposed by combining the harmonic-percussive source separation (HPSS) and deltas-deltadeltas features with four different models. Second, using the same feature, depthwise separable convolution was applied to the Convolutional layer to develop a low-complexity model. Moreover, using gradient-weight class activation mapping (Grad-CAM), we investigated what part of the feature our model sees and identifies. Our proposed system ranked 9th and 7th in the competition for these two subtasks, respectively.

Sound Recording, Processing and Installation for Pedagogical Purposes

One of the current problems facing modern academic training of students in pedagogical programs is the formation of digital competencies in the field of music. The skills for sound recording, processing and editing with the means of technology are extremely useful effects with various projections in pedagogical theory and practice. The article describes a study of students' attitudes towards the implementation of a team task related to the development of an audio product for pedagogical purposes