The Impact of Labor Mobility on Living Standard: an Empirical Study on the Northern Region of Bangladesh

In the past 10 years, Bangladesh has experienced positive economic and social changes. Historically, labor mobility has been a common livelihood strategy of the people as well as the Bangladeshi people. Labor mobility has become an integral part of the current global economy. The primary objective of this study is to provide a review of the impact of labor mobility on living standards in the northern region of Bangladesh. To develop the paper, primary as well as secondary data are collected. The quantitative, as well as qualitative analyses, are conducted in this study. Primary data is collected through a set of well-structured questionnaires. In the study, it is observed that there is 8% of labor are migrated within the last three years. From 2011 to 2015, the maximum laborers are migrated i.e., 37% and 33% migrated labor were day labor. There are 35.56% of people with zero income level per day before their migration. On the other hand, after the migration, there are no people with nil income. Before the migration, 81.11% of people incur their expenditure for buying the inferior goods and the rest of the people incur for the necessary goods, but no one can consume the luxurious goods. On the other hand, after the migration, only 4.44% of laborers are availing of luxurious goods. So still they are not enjoying their life. Before the migration, they are 9% of people who are extremely dissatisfied with these types of facilities, and 33.33% of people were very dissatisfied. On the other hand, there are 23.33% of laborers are very pleased with their medical facilities, shelter, and child education facilities. The result shows that 41% of people are pushed for migration. It is assumed that there is a great impact of labor mobilization on the living standard. The labor is migrated in order to have a better living standard. There are two alternatives for their survival, first, we have to provide job opportunities near their residence, and the alternative is to provide a better living standard for the migrated people.

Increasing the Adoption of Canadian Retail Businesses’ Websites: Canadian Young Generation Consumers' Enticement

This research contributes significantly to academic and practitioner knowledge in the areas of young generation customers' enticement for expanding the adoption of small companies and internet commerce. This is the first time that a study has been done especially on the behavioral usage of Canadian Young consumers' websites by Canadian retail businesses. The purpose of this study is to gain a better understanding of how the Canadian Young Generation engages with retail firms' websites. The research model for this study is an adaptation of the UTAUT2 paradigm. It reaffirms the literature review's usage of the modified UTAUT2 model to describe this research. This research aims to fill a need in the existing knowledge about the Canadian Young Generation's use of retail firms' websites. It is critical that additional steps to protect security and privacy, as well as to create trust, be implemented to improve the Young Generation's confidence in the retail websites of small Canadian firms. Internet costs remain high in Canada, and it is proposed that the Canadian federal government provide additional licenses to Internet Service Providers (ISPs) in order to increase competition among ISPs and therefore decrease Internet charges. Key Words: , , ,

Digital Asset Management: A Lowdown on Intricacies of Digital Rights and Permissions

The adaptability of digital asset management has prevailed enormous businesses and individuals who desire to manage information effectively. The criteria of this paper will revolve around the in-depth intricacies of digital asset management, its functions, significance, and categories of DAM. The introduction of digital rights and permissions aligned with highlighted copyright permission. Initializing from manual asset management and proceeding towards digital asset management, media asset management, and finalizing at massive content management, these terms seem to be striving to explain a unified thing. However, each domain of asset management has separate aspects of managing information. Every organization will opt for its criteria of approach for managing the assets that rely upon the environmental, current cultural, and financial state of the company.

Artificial Intelligence Driven Crypto Currencies

Artificial intelligence-driven cryptocurrencies are cryptocurrencies created by Artificial intelligence using the traditional human cryptocurrency development framework without human intervention. An AI explores the data from each different stream and arriving at the framework which can host these cryptocurrencies following the standards of legality. Cryptography is the encryption of specific data to conceal it and keep it a secret from unwanted third parties. Cryptocurrencies are encrypted currencies with unique keys as developed by developers. Artificial intelligence is an advanced machine programmed to simulate and emulate human intelligence by carrying tasks and reaching conclusions with little or no human intervention. This work considered the use of AI through machine learning and deep learning in the development of cryptocurrencies. The AI machine will set all the parameters and structure of the cryptocurrency. This will include how data is added, removed, and verified on the stream. Blockchain is an open ledger of a cryptocurrency's transactions. It stores files in the system, arranged in blocks, and connected on a list called chains. The article considers how AI-driven cryptocurrency will run using the blockchain network and its impact on it. Artificial intelligence and cryptocurrency are technological very essential technological development currently. The effect of the combination of both technologies would be enormous in the future as both technologies will develop each other remarkably.

Intersection of Artificial Intelligence, Machine Learning, and Internet of Things – An Economic Overview

Internet of Things (IoT) has become one of the mainstream advancements and a supreme domain of research for the technical as well as the scientific world, and financially appealing for the business world. It supports the interconnection of different gadgets and the connection of gadgets to people. IoT requires a distributed computing set up to deal with the rigorous data processing and training; and simultaneously, it requires artificial intelligence (AI) and machine learning (ML) to analyze the information stored on various cloud frameworks and make extremely quick and smart decisions w.r.t to data. Moreover, the continuous developments in these three areas of IT present a strong opportunity to collect real-time data about every activity of a business. Artificial Intelligence (AI) and Machine Learning are assuming a supportive part in applications and use cases offered by the Internet of Things, a shift evident in the behavior of enterprises trying to adopt this paradigm shift around the world. Small as well as large-scale organizations across the globe are leveraging these applications to develop the latest offers of services and products that will present a new set of business opportunities and direct new developments in the technical landscape. The following transformation will also present another opportunity for various industries to run their operations and connect with their users through the power of AI, ML, and IoT combined. Moreover, there is still huge scope for those who can convert raw information into valuable business insights, and the way ahead to do as such lies in viable data analytics. Organizations are presently looking further into the data streams to identify new and inventive approaches to elevate proficiency and effectiveness in the technical as well as business landscape. Organizations are taking on bigger, more exhaustive research approaches with the assistance of continuous progress being made in science and technology, especially in machine learning and artificial intelligence. If companies want to understand the valuable capacity of this innovation, they are required to integrate their IoT frameworks with persuasive AI and ML algorithms that allow ’smart devices/gadgets’ to imitate behavioral patterns of humans and be able to take wise decisions just like humans without much of an intervention. Integrating both artificial intelligence and machine learning with IoT networks is proving to be a challenging task for the accomplishment of the present IoT-based digital ecosystems. Hence, organizations should direct the necessary course of action to identify how they will drive value from intersecting AI, ML, and IoT to maintain a satisfactory position in the business in years to come. In this review, we will also discuss the progress of IoT so far and what role AI and ML can play in accomplishing new heights for businesses in the future. Later the paper will discuss the opportunities and challenges faced during the implementation of this hybrid model.

Robots in Retail Marketing: A Timely Opportunity

Change is indeed inevitable. In a world full of technological advancements there has been a change in retail marketing on how they conduct business. This has prompted a fast pace of automation and artificial intelligence (AI) as strategies that can be used to propel and reshape most business models. Machine intelligence is now more powerful, and it is changing the lives of people everywhere around the world. One such machine intelligence is the robot, which is almost being implemented on a daily basis to form part of the retail marketing solution. Hence, it is important to critically analyze the significance of robots in retail stores and how the same can be used to change the current status quo into a new business model. In answering the research questions, this research will adopt both secondary and primary data methods that will ensure that robust information is collected to meet the objectives of the study. Analysis of data revealed that change is inevitable in the retail industry, and it ought to be embraced in phases. The conclusion also revealed that robots have had both positive and negative impacts on the local stores. The idea of robots taking over various jobs in the industries may not be a good idea, but they have proved to be efficient and reliable.

Gender Diversity and the Firm Financial Performance of DSE Listed Companies in Bangladesh

The effect of gender diversity on firm performance is a long debated topic in the business world. The percentage of women representation in the board of directors is comparatively low than women presence in the general population and in the corporate world. Some research suggests board diversity as one of the corporate governance mechanisms that improve firm performance whereas other research suggests the opposite. This study intends to investigate the association between women representation in the boardroom and the companies’ financial performance indicator of Dhaka Stock Exchange (DSE) listed companies in Bangladesh. Total 259 companies’ data from 18 different sectors of DSE are collected from the audited published annual reports. The sample are selected through simple random sampling technique. The data are analyzed using descriptive analysis, correlation analysis and ordinary least square regression method. The study findings indicate that there is positive association between women representation in the boardroom and firm financial performance indicator.

Assessing the Nature of Job Satisfaction Level: A Study on Private Bank Employees in Bangladesh

The purpose of this study is to assess the nature of the job satisfaction level of private bank employees in Bangladesh. It used a semi-structured questionnaire which contains both pre-coded and open-ended questions. All questions were rated with the Likert 5-point scale. A Chi-square test was used to assess the relationship between independent and dependent variables. In this study, a significant inter-class relationship was observed between demographic characteristics namely sex, age, designation, salary, and family member, marital status, working environment, service period and family income, and job satisfaction indicators which are, participation in decision making, training facilities, autonomy in work, gender discrimination, working hour, chance of promotion, increase knowledge & capacity, the practice of MBO and surprisingly availability of tools and resources had no significant relation with any demographic factors. Employees who work as an officer (93.3%, p< .001) and withdraw salary 25,001-35,000 (88.2%, p< .000) cannot participate in decision making. But who works in the participative environment (83.9%, p< .000) get a proper training facility. Employees with <30-year age (83.3%, p< .016) cannot practice autonomy. Unmarried workers (53.8%, p< .006) face gender discrimination. Employees who work in an Autonomous environment (76.0%, p< .00001) do not get enough working hours. Employees with 30-35-year age (80.8%), p< .002) do not get a proper promotion. Male (98.0%, p< .001) report the organization increases its capacity and knowledge. Employees work in an autonomous environment (88.0%, p< .002) report that organization practices MBO. This study also shows that female employees are more satisfied than males. The overall situation can be improved by guaranteeing employees participation in decision making, regular training, providing appropriate increments and promotion, redesigning working hours and environment, and removing gender discrimination. Further Study is recommended.

Adverse Effects of Climate Change in Bangladesh: its Physiological and Economic Impacts

Rapid changing of climate, the effects of greenhouse and global warming, is an alarming situation of the global map with its adverse effects, sending several countries under the waves. Unfortunately, Bangladesh stands at the peak of climate attacks. The land, water, and weather are being enormously affected by this outbreak of climatic changes. The dangers will intensify, if the precautionary measure is not taken immediately. However, to offset the grave concerns of unintended climatic changes in Bangladesh, there is no any significant initiative is taken. The changes will put its adverse impact on the socio- economic conditions of the country, putting the next generation on the line. Some ominous signs are already there for the concerned to respond with the required amount of fervor. JEL Classification Code: F64

O2O Business Model of Meituan in China

The research applies performance evaluation of O2O Business Model of China. It means evaluate how well the company performance. The focus aim is achieved through the O2O Business Model and Meituan, Ratio analysis of Meituan (2017-2019), share price movement we have use average moving Meituan Dianping (3690.HK), price to sales ratio among E-commerce firms. It is most important factor for performance evaluation. The graphical analysis and comparison are applying analysis and company’s measurement of all type of financial ratio. Share price movement indicate the trend of company’s present performance, as well as price to sales ration comparison among other tech companies. That Meituan is waiting, the company will grow strongly by its core market the food delivery business.