eHRM: An Empirical Study on Employee Perception and Satisfaction

The prime concern of this research is to investigate the rapport between human resource (HR) professional’s perception towards electronic human resource management (eHRM) and their satisfaction for eHRM usage. Data were obtained from 180 HR professionals in banking industry of Bangladesh using purposive sampling technique. For data analysis, one-way ANOVA test along with other correlation techniques are exercised as statistical tools. Results indicate that software quality, perceived usability, perceived usefulness, and user support have a strong association with user satisfaction that is developed from eHRM usage. The research explores a positive rapport between HR personnel’s satisfaction for eHRM usage and HR personnel’s perceptions towards eHRM. Moreover, the study reveals that the demographic variables (gender, age, educational level, etc) have no influence on perception towards and eHRM satisfaction. The findings of the study will be helpful for the HR managers to take necessary steps to grab the maximum benefits of eHRM usage. Keywords: Electronic human resource management (eHRM); perceived usefulness; perceived usability; software quality; user satisfaction; user support DOI: 10.7176/JIEA/11-2-06 Publication date: June 30th 202

Delicar: A smart deep learning based self driving product delivery car in perspective of Bangladesh

The rapid expansion of a country’s economy is highly dependent on timely product distribution, which is hampered by terrible traffic congestion. Additional staff are also required to follow the delivery vehicle while it transports documents or records to another destination. This study proposes Delicar, a self-driving product delivery vehicle that can drive the vehicle on the road and report the current geographical location to the authority in real-time through a map. The equipped camera module captures the road image and transfers it to the computer via socket server programming. The raspberry pi sends the camera image and waits for the steering angle value. The image is fed to the pre-trained deep learning model that predicts the steering angle regarding that situation. Then the steering angle value is passed to the raspberry pi that directs the L298 motor driver which direction the wheel should follow. Based upon this direction, L298 decides either forward or left or right or backwards movement. The 3-cell 12V LiPo battery handles the power supply to the raspberry pi and L298 motor driver. A buck converter regulates a 5V 3A power supply to the raspberry pi to be working. Nvidia CNN architecture has been followed, containing nine layers including five convolution layers and three dense layers to develop the steering angle predictive model. Geoip2 (a python library) retrieves the longitude and latitude from the equipped system’s IP address to report the live geographical position to the authorities. After that, Folium is used to depict the geographical location. Moreover, the system’s infrastructure is far too low-cost and easy to install.publishedVersio

Sensory Substitution for Visual Impairments: A Technological Review

This work shows the study of the people who are deprived of a sensory modality that affects brain organization and cognition. By studying, the blind or visual impaired helps learn about how sensory experience in each sense is required for specific brain systems to develop, and how the technologies help in plasticity change in their absence. The sensory-motor deprivation model serves to assess the roles of critical developmental periods, compensatory cross-modal plasticity, and sensory-independent (a-modal) processes in the human brain. Sensory substitution enables a new era for blind people. Therefore, this research will commit a complete review on the sensory substitution for visual impairments

A Fuzzy ANP Based Grey Relational Approach to Evaluate CRM System in Context of Bangladesh

This study aims to select a suitable CRM (customer relationship management) system among different possible alternatives for organization’s in Bangladesh. Since, evaluating CRM system on the basis of lot of attributes leads us to Multiple-criteria decision analysis (MCDA) problems. In this study, a hybrid MCDA models were used. FuzzyANP (Analytic Network Process) and GRA (Grey Relational Analysis) approaches were adopted to solve the problem. The study explored that the Hubspot CRM was optimal solution in context of Bangladesh. Our research will beneficial to the organizing for better customer support. As far our knowledge goes, this is the first attempt to select CRM softwares in context of Bangladesh. Keywords: Analytic network process; Customer relationship management system; Grey relational analysis; Multiple-criteria decision analysis DOI: 10.7176/IKM/11-4-06 Publication date:June 30th 202

Impact of Brand Image and Brand Loyalty in Measuring Brand Equity of Islami Bank Bangladesh Ltd.

This paper aims at investigating the interrelation between brand image and brand loyalty in case of measuring brand equity of Islami Bank Bangladesh Ltd. Brand Image (BI) and Brand Loyalty (BL) have been considered as the most attributing features of Brand Equity. Handful of researches have resulted these two as primary factor (Latent Variable) of Brand Equity. With this association, this study is designed at conducting research for explaining intermediating role of BI and BL over Brand equity of Islami Bank Bangladesh Limited (IBBL) using Structured Equation Modeling (SEM). Specifically, to analyze the impact of observed variables over un-observed variable e.g. BI and BL we have used Confirmatory Factor Analysis. Only primary data was used for the study which was collected through structured questionnaire from a total number of 399 customers’ located in 43 branches of IBBL within Dhaka city. Simple Random Selection (SRS) was followed for sampling design. Findings of the study show that a positive correlation exists between BI and BL for IBBL. Moreover, strong influence of Brand Loyalty over Brand Equity was found that of Brand Image in case of IBBL. The model fit of the study strongly signify the result as successful estimate of the model. &nbsp

Impact of Brand Image and Brand Loyalty in Measuring Brand Equity of Islami Bank Bangladesh Ltd.

This paper aims at investigating the interrelation between brand image and brand loyalty in case of measuring brand equity of Islami Bank Bangladesh Ltd. Brand Image (BI) and Brand Loyalty (BL) have been considered as the most attributing features of Brand Equity. Handful of researches have resulted these two as primary factor (Latent Variable) of Brand Equity. With this association, this study is designed at conducting research for explaining intermediating role of BI and BL over Brand equity of Islami Bank Bangladesh Limited (IBBL) using Structured Equation Modeling (SEM). Specifically, to analyze the impact of observed variables over un-observed variable e.g. BI and BL we have used Confirmatory Factor Analysis. Only primary data was used for the study which was collected through structured questionnaire from a total number of 399 customers’ located in 43 branches of IBBL within Dhaka city. Simple Random Selection (SRS) was followed for sampling design. Findings of the study show that a positive correlation exists between BI and BL for IBBL. Moreover, strong influence of Brand Loyalty over Brand Equity was found that of Brand Image in case of IBBL. The model fit of the study strongly signify the result as successful estimate of the model

Two decades of endemic dengue in Bangladesh (2000-2022): trends, seasonality, and impact of temperature and rainfall patterns on transmission dynamics

The objectives of this study were to compare dengue virus (DENV) cases, deaths, case-fatality ratio [CFR], and meteorological parameters between the first and the recent decades of this century (2000-2010 vs. 2011-2022) and to describe the trends, seasonality, and impact of change of temperature and rainfall patterns on transmission dynamics of dengue in Bangladesh. For the period 2000-2022, dengue cases and death data from Bangladesh's Ministry of Health and Family Welfare's website, and meteorological data from the Bangladesh Meteorological Department were analyzed. A Poisson regression model was performed to identify the impact of meteorological parameters on the monthly dengue cases. A forecast of dengue cases was performed using an autoregressive integrated moving average model. Over the past 23 yr, a total of 244,246 dengue cases were reported including 849 deaths (CFR = 0.35%). The mean annual number of dengue cases increased 8 times during the second decade, with 2,216 cases during 2000-2010 vs. 18,321 cases during 2011-2022. The mean annual number of deaths doubled (21 vs. 46), but the overall CFR has decreased by one-third (0.69% vs. 0.23%). Concurrently, the annual mean temperature increased by 0.49 °C, and rainfall decreased by 314 mm with altered precipitation seasonality. Monthly mean temperature (Incidence risk ratio [IRR]: 1.26), first-lagged rainfall (IRR: 1.08), and second-lagged rainfall (IRR: 1.17) were significantly associated with monthly dengue cases. The increased local temperature and changes in rainfall seasonality might have contributed to the increased dengue cases in Bangladesh

マウス血液-尿関門を担う上皮細胞間相互作用に関する形態機能学的研究 : 腎病変を制御する免疫学的ゲートとしての役割 [全文の要約]

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