Improving Ready-Made Garment Productivity by Changing Worker Attitude

Bangladesh is the 2nd largest readymade garment exporter in the world. But in terms of productivity, its performance is below the mark. Many studies were performed to increase the productivity of our readymade garment industry by applying proper line balancing, time study, lean manufacturing system etc. Similarly this paper is an attempt to analyze the potential increase in garment productivity by applying a non-monetary process that is related with changing the behavioral aspect of the readymade garment workers. The study shows only slight change in worker attitude along with proper supervision can bring about a tremendous increase in garment productivity which can make the readymade garment products more price competitive to the foreign buyers

Enhancement of the Magnetoelectric Effect in PZT-Ni Ferrite Composites Using Post Sintering Thermal Treatment

In this chapter, the piezoelectric and magnetoelectric properties of Pb (Zr0.52T0.48)O3–X NiFe1.9Mn0.1O4 (PZT-NFM, where X ranges from 3 to 10%) were investigated along with SEM and TEM analysis. Post sintering thermal treatment (annealing and aging) was introduced to enhance the piezoelectric and magnetoelectric property of the composites. The density was found around 7.6–7.8 gm/cc. The piezoelectric constant d33 and the voltage constant were found to be decreased with increasing magnetic particle from 3–10%. Experimental results indicated that the magnetoelectric voltage coefficient (dE/dH) increases with increasing percentage of Nickel Ferrite (~35 for 3% NF to 140 mV/Oe. cm for 10% NF at 1125°C). The samples, which were annealed and aged after sintering show as high as 50% (140 to 220 mV/cm Oe) increase in dE/dH coefficient. This is due to the increase in resistivity due to better homogeneity. The H-M curve of the composite powders show that the PZT-NFM is a ferromagnetic material as well. The SEM investigation shows very compact structure with average grain size around 150 nm and some areas of the NF rich phase. The X-ray mapping shows that the NF is distributed in the big grains of the matrix and after annealing it homogenizes

Digital Emotion Regulation on Social Media

Emotion regulation is the process of consciously altering one's affective state, that is the underlying emotional state such as happiness, confidence, guilt, anger etc. The ability to effectively regulate emotions is necessary for functioning efficiently in everyday life. Today, the pervasiveness of digital technology is being purposefully employed to modify our affective states, a process known as digital emotion regulation. Understanding digital emotion regulation can help support the rise of ethical technology design, development, and deployment. This article presents an overview of digital emotion regulation in social media applications, as well as a synthesis of recent research on emotion regulation interventions for social media. We share our findings from analysing state-of-the-art literature on how different social media applications are utilised at different stages in the process of emotion regulation

Knowledge Management Critical Success Factors in Construction Projects

Knowledge management (KM) is defined as the act of establishing, sharing, and flowing of knowledge within an organization. Knowledge is an important driving force for business success and competiveness, especially in the construction industry, which is a project-based oriented that involves multidiscipline stakeholders. Knowledge management critical success factors (KMCSFs) are considered crucial for the construction industry. Previous works suggested a positive relation between addressing the critical success factors and the successful implementation of knowledge management. The objective of this paper is to identify and assess those factors. Data were collected by a structured questionnaire distributed randomly to 300 construction project professionals in the Palestinian construction industry concerning their knowledge management experiences. 277 questionnaires were received giving a response rate of 92%. Data were analyzed using Relative Importance Index (RII) and Exploratory Factor Analysis (EFA). It has been found that teamwork and face-to-face communication are considered the most significant critical success factors in managing knowledge. Moreover, three groups of critical success factors for managing knowledge have been categorized by EFA. They are related to culture, knowledge sharing process, and organizational structure. The findings of this study are significant in the understanding of knowledge management critical success factors in construction project. This knowledge may contribute to better decision-making and improvement of the construction projects performance

Filtering Dishonest Trust Recommendations in Trust Management Systems in Mobile Ad Hoc Networks

Trust recommendations, having a pivotal role in computation of trust and hence confidence in peer to peer (P2P) environment, if hampered, may entail in colossal attacks from dishonest recommenders such as bad mouthing, ballot stuffing, random opinion etc. Therefore, mitigation of dishonest trust recommendations is stipulated as a challenging research issue in P2P systems (esp in Mobile Ad Hoc Networks). In order to cater these challenges associated with dishonest trust recommendations, a technique named “intelligently Selection of Trust Recommendations based on Dissimilarity factor (iSTRD)” has been devised for Mobile Ad Hoc Networks.  iSTRD exploits  personal experience of an “evaluating node” in conjunction with majority vote of the recommenders. It successfully removes the recommendations of “low trustworthy recommenders” as well as dishonest recommendations of “highly trustworthy recommenders”. Efficacy of proposed approach is evident from enhanced accuracy of “recognition rate”, “false rejection” and “false acceptance”.  Moreover, experiential results depict that iSTRD has unprecedented performance compared to contemporary techniques in presence of attacks asserted

How Earning Per Share (EPS) Affects on Share Price and Firm Value

Earnings per Share (EPS) is generally considered most important factor to determine share price and firm value. Literature shows that most of the individual investors take their individual investment decision based on the EPS. This paper attempts to provide empirical evidence on how EPS affect the share price movement. We have collected and analyzed 22 scheduled banks 110 firm year data and found that share price does not move as fast as the EPS move. We also further found that the share price movement depends on micro and macro economic factors on the economy. We suggest that investors must consider other factors as well as EPS in order to invest in the security market