Significant Attributes and Challenges Related to Cross-Functional Team Communications

Purpose The purpose of the research work is to investigate the importance of the communication in the cross-functional teams and in what which communicational tools provide better convenience of communication in cross-functional team members. Methodology An empirical study including the data collection from the interviews conducted from the participants working in cross-functional teams. Qualitative approach has been adopted to understand the communicational attributes in the cross-functional teams. For the analysis both deductive and abductive approach has been used. With the help of theoretical framework and empirical data, conclusions drown for better understanding of the concept. Findings The author has divided the search in two main segments, communicational effects on cross-functional team performance and effectiveness of particular communicational tools used by team members and team leaders. Empirical findings shows that without proper communication, cross-functional team are less tend to perform well to achieve set goals as well as face to face communications are more effective than other communicational tools.  Research limitations The research work is limited to Scandinavian countries. Organizational communicational structures are not studied due to time factor. Other limitation of this research work is effect of cultural differences on communication. Implications The research work provides deep understanding of the different communicational effects on cross-functional team performance. The choice of communicational tool and proportional importance for the team members will help managers while selecting the tools of communication with the team members. Originality / value During the literature studies, author determined that there is potential of research for the communicational tools used in cross-functional team communications. The social media is taking over the traditional communicational tools which provide value for findings. 

Reducing the global burden of depression : population level analysis of intervention cost-effectiveness in 14 world regions

International evidence on the cost and effects of interventions for reducing the global burden of depression remain scarce. Aims: To estimate the population-level cost-effectiveness of evidence-based depression interventions and their contribution towards reducing current burden. Method: Primary-care-based depression interventions were modelled at the level of whole populations in 14 epidemiological subregions of the world. Total population-level costs (in international dollars or I$) and effectiveness (disability adjusted life years (DALYs) averted) were combined to form average and incremental cost-effectiveness ratios. Results: Evaluated interventions have the potential to reduce the current burden of depression by 10–30%. Pharmacotherapy with older antidepressant drugs, with or without proactive collaborative care, are currently more cost-effective strategies than those using newer antidepressants, particularly in lower-income subregions. Conclusions: Even in resource-poor regions, each DALYaverted by efficient depression treatments in primary care costs less than 1 year of average per capita income, making such interventions a cost-effective use of health resources. However, current levels of burden can only be reduced significantlyif there is a substantialincrease substantial increase intreatment coverage.

Exploring the effectiveness of virtual product placement on recall and recognition of new brands

This paper investigates the effectiveness of virtual product placement as a marketing tool by examining the relationship between brand recall and recognition and virtual product placement. It also aims to address a gap in the existing academic literature by focusing on the impact of product placement on recall and recognition of new brands. The growing importance of product placement is discussed and a review of previous research on product placement and virtual product placement is provided. The research methodology used to study the recall and recognition effects of virtual product placement are described and key findings presented. Finally, implications are discussed and recommendations for future research provided.

Speaker identification using higher order spectral phase features and their effectiveness vis-a-vis Mel-Cepstral features

The effectiveness of higher-order spectral (HOS) phase features in speaker recognition is investigated by comparison with Mel Cepstral features on the same speech data. HOS phase features retain phase information from the Fourier spectrum unlikeMel–frequency Cepstral coefficients (MFCC). Gaussian mixture models are constructed from Mel– Cepstral features and HOS features, respectively, for the same data from various speakers in the Switchboard telephone Speech Corpus. Feature clusters, model parameters and classification performance are analyzed. HOS phase features on their own provide a correct identification rate of about 97% on the chosen subset of the corpus. This is the same level of accuracy as provided by MFCCs. Cluster plots and model parameters are compared to show that HOS phase features can provide complementary information to better discriminate between speakers.