Journal of Finance, Business and Management Studies
The Journal of Finance, Business and Management Studies (JFBMS) is devoted to various disciplines of Finance, Business, Management and applied areas. The JFBMS will consider original research articles, survey articles, and book reviews. To ensure speedy publication, only articles which are sufficiently well presented, contain significant results and not require major revisions will be considered. The journal covers a wide variety of topics including (but not limited to): Accounting Applied Financial Econometrics Asset Pricing Banking Behavioral Finance Business Analytics Business Economics Business Ethics Business Law Business Policy Buyer Behaviour – Purchasing and Supply Management Competition and Cooperation Corporate Finance and Governance Corporate Governance and Social Responsibility Customer Relationship Management Distribution and Routes to Market Econometrics Electronic Business Electronic Mobile Commerce Electronic Social Commerce Enterprise management Entrepreneurship Entrepreneurship Business Venturing Entrepreneurship Innovation Finance Financial Econometrics Financial Economics Financial Institutions Financial Management Financial Risk Analysis General Financial Markets Growth and Development Human Resource Management Information Management International Business International Economics International Finance International Trade Macroeconomic Aspects of Finance Macroeconomics Managing Product Offerings Market and Customer Communication Marketing Markets and Institutions of Emerging Markets Money and Banking Networks in Business Markets New Product Development and Innovation Operations and Service Management Options and Futures Organizing for Global Markets Portfolio Management Political Science Project Management Public Economics and Public Policy Public Finance Public Policy Regional Economics Risk Management Sales and Key Account Management Strategic Management Supply Chain Management Taxation, Subsidies and Revenue Technology Management Tourism Economics Editorial decisions on the acceptance or otherwise are taken within 2 weeks from the date of receipt of the article. Responses to articles and correspondence will also be considered at the Editor’s discretion. Papers will be accepted only after Peer-Review. Special issue proposals in cutting-edge and timely areas of research in Finance, Business Management and applied areas are strongly encouraged.
A STUDY ON BENEFITS OF EMPLOYEE RETENTION
Employee Retention is a critical factor in the long-term success of organizations. This study explores the numerous benefits of retaining skilled employees, focusing on areas such as cost reduction, productivity, and organizational culture. It highlights how retaining talent leads to decreased recruitment and training costs, as well as increased employee engagement and performance. Additionally, long-term employees contribute to the development of strong company culture, mentorship, and knowledge sharing, which boosts overall efficiency. The study also emphasizes the role of employee loyalty in enhancing customer satisfaction and organizational stability. The findings suggest that effective retention strategies, including competitive compensation, career development opportunities, and a positive work environment, are essential to achieving these benefits. Recommendations are provided for organizations looking to improve their retention practices and build a more resilient workforce.
Copyright (c) 2025 Journal of Finance, Business and Management Studies
The business environment has changed dramatically over the period of time. Economies that were formerly famed for their agricultural and industrial manufacturing ability are now dominated by emerging service sectors. Growth of the service sector not just lies with service industries such as banking, transportation, telecommunication, tourism industry etc. But also the retail industry plays a crucial role in the overall growth of Indian service sector and because of the high demand of this retail industry, it has become the 5th largest private sector industry in the world. India is one of the top nations in which to make retail investments. The second-largest population in the world, a middle-class of about 158 homes, expanding family incomes, rising rates of urbanization, connected rural consumers, and increased consumer expenditure are some of the factors that draw people to India (IBEF, 2024).
Analyzing the Impact of Cultural Preservation on Economic Prosperity: An Empirical Investigations
The study aims to analyze the impact of cultural preservation on economic prosperity of Sambalpur. For the study we collect data from 30 select shops of Sambalpur city through a questionnaire. We measure cultural preservation through various indicators like food, garments, and festivals. Economic prosperity measured by total sales. The study uses Regression and paired T-test to analyze the impact of Cultural preservation on Economic prosperity. The study finds that cultural preservation has a significance impact on Economic prosperity. The results of the study will be helpful for the policy makers to take important decisions.
Purpose, goals, and principles of digital university design
The digitalization of education is a fundamental transformation of traditional learning models, providing flexibility, accessibility, and personalization of the educational process. The concept of a digital university involves the integration of information and communication technologies (ICT) into all aspects of its activities, including the organization of the learning process, knowledge management, and interaction between students, teachers, and administration. The article examines the purpose, goals, and principles of digital university design, analyzes the key socio-pedagogical conditions for its implementation, and considers the impact of modern technologies on the efficiency of the educational process. The main advantages of a digital university are identified, including automation of learning processes, adaptive learning, use of a virtual environment, and integration of electronic educational resources. The main challenges faced by digital universities are also analyzed, including the need to adapt educational programs, develop effective methods of interaction between participants in the educational process, and ensure quality educational content. The article emphasizes that a digital university is a promising model of education that allows creating an innovative, adaptive, and effective learning system that meets the requirements of the modern digital society.
This article examines the problem of a manager who plans at struggle the disaster of conflicts of war and epidemic while reducing the social costs. An interesting point may be observed in our model. If we move forward to slow policies then it may regulate the fast effective spread rate of the disease which obeys a dispersive randomness. We present a comprehensive theoretical analysis demonstrating the formation of the most favourable policy. In all our tests the latter is demonstrated by three different stages: the disaster is first freely affect the units of a firm and damaged it vigorously and then the manager of the firm tries to put up a fight against the disaster and finally a regeneration policy is adopted to revive the damaged units. Stochastic process indicates the premature position of the disease in its first stage with the positions of the boost growing rate of the disaster which is controlled after a long time.
Changing Paradigm of Purchase Retention With Respect to Brand Love and Brand Engagement
Businesses interact with their customers in an effort to maintain or improve their total brand equity. This study explores the relationship between brand engagement and brand love, as well as how these two factors interact to affect overall brand equity and purchase intent. Data gathered from 311 respondents using a self-administered survey were subjected to a two-stage analysis. The measurement model’s validity and reliability were examined in the first stage, and the structural model’s strength of the relationships was determined in the second. The study makes it possible to comprehend the causes of brand equity in great detail. It offers useful theoretical insights into the factors that affect how brand equity is formed. It also examines the impact of sociodemographic factors like gender and usage. Relationships are mediated by brand love and overall brand equity. By combining previously researched characteristics such as brand love, brand experience, total brand equity, and purchase intention into one comprehensive model, this study suggests a new branding framework. This study supports the notion that brand love and brand engagement are second-order constructs and crucial components of the brand mix. Relationships between a brand and its fans are controlled by usage and gender.
Harnessing Artificial Intelligence: Revolutionizing Investment Decision Processes
This document is about the evolution of investment strategies by AI in financial decisionmaking. Artificial Intelligence (AI) is creating a change in operational activity, decisionmaking process for investment, and assessing clients, by banks. The purpose of the paper is to highlight the opportunities available by AI in investment decision-making along with challenges, which should be addressed during implementation. A systematic literature review is been used to analyze the paper and make findings. Personalized investment advice, tailored to individual risk tolerance and goals, enhances decisionmaking. Overcoming barriers to AI adoption promises growth, innovation, and user-friendly investment experiences.
Leadership Style And Employee Performance: A Study Of Transformational And Transactional Leadership Style In Deposit Money Banks In Nigeria (Case Study Of Zenith Bank)
This study explores the impact of transformational and transactional leadership styles on employee performance within Zenith Bank branches in Lagos State. A quantitative research methodology rooted in a positivist philosophy was employed. Data were collected from a conveniently selected sample of 50 employees across three branches that were chosen randomly. Employee performance was the dependent variable, while transformational and transactional leadership styles were the independent variables. The findings reveal that both leadership styles significantly influence employee performance, with transformational leadership demonstrating a more profound impact. These results highlight the importance of adopting transformational leadership to foster higher levels of employee commitment and performance. Keywords: Employee Performance; Leadership Style; Transformational Leadership; Transactional Leadership
Foreign Institutional Investors and their impact on Auto and Bank index Volatility-An Empirical Study
In Indian stock Market, Foreign Institutional Investors (FIIs) have been a significant regarded as a key source of stock market volatility. The impact research of stock market returns and the FIIs inflows and outflows link was established to determine the impact between FIIs portfolio flows and stock market volatility. The purpose of this paper is to assess the investing practices of (FIIs) and its relationship to stock market returns in India. The ADF unit root test and Arch family models were used to collect and analyse monthly data from January 2006 to December 2021. The data is stationarity at level, according to the results of the Unit root test. After applying the GARCH test analysis, it was found that the volatility of the Indian stock market is affected by prior time periods volatility and that FIIs' investments play a substantial role in the volatility of the NIFTY and S&P BSE indices. The foreign institutional investments are influencing the volatility of Nifty Auto, Nifty Bank, S&P BSE Auto and S&P BSE Bank.
Copyright (c) 2024 Journal of Finance, Business and Management Studies
There has been a turbulent history of crises and upheavals in the banking industry, interspersed by moments of innovation. This paper examines the complex relationship between banking crises and innovation, looking at how these crises have sparked advances in banking actions, regulations, and technology. This conceptual paper explores few particular instances, notably the 2008 financial crisis and the 2023 banking crisis, along with how these acted as catalysts for reforms and inventions like fintech solutions. These developments attempted to strengthen risk management and transparency while resolving the weaknesses and vulnerabilities revealed by the crises. The paper explores how credit risk assessment and fraud detection are being revolutionised by data analytics, machine learning, and artificial intelligence, making banks more resilient to economic fluctuations. The role of regulatory authorities in promoting innovation and balancing it with stability is examined. In the aftermath of the banking crises, customer requirements and tastes have changed, since people are increasingly turning to digital banking and mobile payment options as they look for ease, security, and candour in their financial dealings. The obstacles and challenges of innovation in addition to its benefits are also examined. The banking industry faces serious risks from cybersecurity attacks and data breaches, necessitating constant improvements in security measures. In conclusion, there is a complicated and dynamic relationship between banking crises and innovation. Thus, in a constantly shifting financial landscape, novelty in banking must be backed by cautious risk assessment and a solid regulatory environment, in order to preserve the stability and resilience of this sector.
ONDC: REVOLUTIONIZING DIGITAL COMMERCE IN INDIA
Online Network Digital Commerce (ONDC) is a revolutionary e-commerce platform that offers a new perspective on business and consumer interactions. This conceptual paper provides a concise overview of ONDC, touching upon its key attributes, disruptive potential, challenges, opportunities for marketers, and expected growth. Its core attributes include interoperability, accessibility, and inclusivity, making it an inclusive platform for businesses of all sizes. ONDC is a catalyst for Micro, Small, and Medium Enterprises (MSMEs), providing equal access to digital commerce opportunities. Its disruptive potential is substantial, as it aims to challenge existing e-commerce platforms by reducing their power and promoting competition. This model envisions a more level playing field and increased consumer choice. For marketers, ONDC presents opportunities to reach consumers and foster growth. It also empowers local businesses and entrepreneurs, potentially stimulating economic growth in a rapidly developing economy. With anticipated growth over the next five years, ONDC is poised to revolutionize the digital commerce landscape in India. However, the potential for ONDC to disrupt established players like Swiggy and Zomato in the online food delivery sector raises questions about its potential impact. In conclusion, ONDC is a game-changing innovation in Indian e-commerce, potentially empowering MSMEs, inspiring marketers, and fueling economic expansion.
Unveiling Trends: A Comprehensive Bibliometric Review on Mental Health and Social Media
The pervasive use of social media platforms has become integral to daily life, offering unique opportunities for communication, information sharing, and social connection. However, concerns about the potential drawbacks and risks, particularly mental well-being, have prompted extensive research. This article presents a scoping bibliometric review of the literature on the association between social media and mental health. The study conducts a thorough examination using the Dimensions database, related to "Mental Health" and "Social Media" keywords. A total of 500 highly significant ones were selected based on citations. Utilizing VOS Viewer and Biblioshiny, the analysis maps the current landscape, revealing trends, influential countries, publications, and author interconnections. The findings highlight the global impact of research efforts, emphasizing collaborative and impactful contributions from various nations. The absence of international collaboration among authors presents a promising avenue for future exploration. This comprehensive analysis is a valuable resource, guiding researchers, policymakers, and practitioners in navigating the digital age's intricate relationship between mental well-being and social media.
The Rural Agricultural Development Through E-Commerce Platforms
Technology, including the internet, phones, computers, tablets, platforms, networks, software applications, and databases, has significantly impacted our daily lives. The integration of e-commerce platforms in rural agricultural sectors has opened new opportunities for farmers and producers to reach wider markets. These platforms can facilitate growth, efficiency, and market access for rural farmers. As rural revitalization progresses, e-commerce can help agriculture development through diversification, intelligent agriculture, and e-commerce trading platforms. These platforms have the potential to revolutionize traditional farming by creating direct links between farmers and buyers. This paper aims to study the development strategy of e-commerce in rural areas, focusing on marketing status, problems, and specific development strategies, to promote the development of e-commerce in rural areas under the background of rural revitalization.
Relationship Between Cybercrime and the Nigerian Economy: Causes, Implications and the Path Forward
This research examined the relationship between cybercrime and the Nigerian economy: Causes, implications and path forward. Data from banks and her clients was gathered for this research using a survey approach. Access Bank, First Bank, GT Bank, UBA, and Zenith Bank are some of these banks. In order to get the effects from experts, the University of Port Harcourt’s Bursary Department, Ignatius Ajuru University of Education’s Computer Science Department, and others were selected. The random sampling approach was used in order to get a sample size of 300 from the intended population. To collect the required data, a self-structured questionnaire titled Cybercrime and the Nigeria Economy: Causes, Implications, and Path forward (C.N.E.C.I.P.F.) was filled out. A total of 300 questionnaires were personally administered to the respondents, 260 copies were retrieved and used for data analysis and interpretations using a simple percentage procedure with aggregate criterion of 50%. Reviewing the causes of cybercrime in Nigeria among others are: Urbanization and civilization; unemployment; poor implementation of cybercrime laws and inadequate equipped law enforcement agency; corruption etc. Our findings also review that the implications of cybercrime on Nigeria’s economy are: disruption of business operation; loss of revenue; monetary losses etc. Although cybercrime cannot be completely eliminated, it may be lessened in intensity, according to the research’s findings. The research also made a number of recommendations and concluded that to reduce the extent of cybercrime in Nigeria to a minimum, there is a need for citizens, businesses, and the government to actively collaborate.
Beyond the Screen: Exploring Social Media Impact on Happiness
By identifying the motivations behind social media use and elucidating the impact of social media on an individual's happiness, this study seeks to understand the relationship between social media use and happiness. 340 university students participated in this quantitative research. Data is gathered through a questionnaire with five point Likert scale. To analyse the data, Pearson's Correlation Coefficient was used. The study's findings indicate a relationship between university students' happiness and their use of social media. Various levels of satisfaction are found depending on the goal, such as using social media to communicate and find a buddy or connection. Additionally, the kind of internet content would have a big impact on students’ emotional responses.
Determinant of Financial System Development in Nigeria: An Empirical Investigation
These research was carried out to examine the determinants of the financial system development in Nigeria using data from 2017 to 2022,generally,the financial system encompasses all financial intermediaries that operate in the financial sector of the economy categorized into the surplus and deficit spending units in which it is as well been looked into in these research study. A more regulated and better working financial sector contributes toward achieving monetary growth based on proficient resource allocation and reducing information asymmetries. The study uses annual data of Nigeria from 2017 to 2022 to examine the determinants of financial sector development in Nigeria. This period is considered long enough to shed light on the definite relationships that exist between policies of financial reform, output growth, natural resource and financial sector development. One key limitation of this study is the nature of data that would be employed for empirical analysis. The data are essentially obtained from secondary sources, and as such, results to be obtained would depend on the quality of the data. Following the introduction, section two dwells on the review of literature, while section three provides an exposition on the theoretical framework and model specification. Section four relates to empirical analysis and discussion of findings. Finally, section five recommends and concludes the paper.
Case Study of Vida EV by Hero MotoCorp: Creating new industry vertical through electric vehicles
The abstract explores the transformative potential of electric vehicles (EVs) in creating a novel industry vertical. As global concerns about environmental sustainability and the need for clean energy solutions intensify, EVs emerge as a key driver for fostering innovation and establishing new economic sectors. This paper delves into the multifaceted aspects of leveraging EV technology to create a distinct industry vertical. It examines the shift from conventional fossil fuel-powered vehicles to EVs, highlighting the environmental benefits and the role of governmental policies in driving this transition. The study investigates how the EV ecosystem, including manufacturing, infrastructure development, and supply chains, contributes to the formation of a unique industry vertical in Hero MotoCorp. The analysis encompasses the financial incentives provided by governments to stimulate EV adoption, technological advancements, and the potential for job creation within the emerging EV sector. Additionally, the abstract underscores the importance of strategic collaborations between stakeholders, such as automotive manufacturers, energy providers, and policymakers, to facilitate the growth of this nascent industry vertical. Ultimately, the research contends that embracing electric vehicles has the potential not only to revolutionize transportation but also to catalyze the emergence of a dynamic and sustainable industry with far-reaching economic and environmental implications.
Exploring the Advantages & Disadvantages of Using Artificial Intelligence in Online Food Delivery Services
The assimilation of Artificial Intelligence (AI) in restaurant industry represents a revolutionary shift. AI has enabled this industry by optimizing the food deliveries to the customers in no time, route optimization by determining the most effective route for each delivery person and for every order as well. AI interacts with the road infrastructure, weather conditions, traffic status and enable the driver to reach his destination in the stipulated time for every order. AI analyses historical data and make predictions for the future by conducting various algorithm based analysis. Artificial Intelligence has also helped the marketers to decide on dynamic pricing structure and keeping their customer alive with them. One of the major task accomplished by AI is usage of Chabot, which has enabled the customers to get personalized solutions of their problems. This paper aims to identify and develop the transformation and revolution, which has been taken place due to the use of AI in shaping consumer behaviour towards online food delivery services by doing an exploratory analysis based on the published literature in Food delivery applications. This paper suggest that AI is not only a medium of getting customer data and promoting sales but also a strong tool to provide customization and develop a future ready ecosystem for restaurant industry. This paper will throw light on the challenges and issues related to Artificial Intelligence (AI) in the restaurant industry.
Financial Inclusion: A Step Towards Developed Nation
Financial inclusion is an emerging economic growth paradigm, especially in developing countries like India. It is one of the major factors which has contributed to the growth and development of Indian economy. Financial inclusion refers to the delivery of banking products and services at affordable terms and conditions. Accessibility of financial services at affordable prices has been always a global issue. Therefore, comprehensive financial system is required in our country. In order to enhance GDP and ease of doing business rank, financial inclusion is top objective of our government. In the current scenario financial institutions are the robust pillars of progress of the economy. The objective of this study is to examine the impact of financial inclusion on growth and development of Indian economy. Secondary data has been used in this study. Prime Minister Shri Narendra Modi launched Pradhan Mantri Jan Dhan Yojna on 28th August, 2014. This policy aims at accessing financial services namely banking/saving, deposit accounts, insurance and pension in an affordable manner. Result shows that there has been increase in number of bank branches, outlets and savings accounts from 2014 to 2023 which has significantly contributed to the development of GDP of our economy.
The Relationships between Tax Shield and Capital Structure
Abstract It is common for companies to use depreciation expense of fixed assets and interest expense, regarding the cost of long-term liabilities, as a tax shield to reduce the impact of the tax burden. Many researchers have verified that it has a certain effect on the capital structure. Financial statements of 20 listed companies at the Mongolian Stock Exchange covering the 2016-2020 years were analyzed to study the relationships between capital structure and tax protection. Depending on the research model, the debt-to-asset ratio was selected as a dependent variable, and the effective tax rate- an indicator of debt tax protection and depreciation expense - an indicator of non-debt tax protection were selected as independent variables respectively. As control variables, indicators such as enterprise size, capital structure, return on capital, capital growth, cash flow, turnover ratio, and bankruptcy risk were considered. In order to perform the research analysis the MS-Excel and SPSS 25.0 software were used as research tools. According to the research results, capital structure is negatively related to debt tax and non-debt tax shield, which need extra analysis. Therefore, there was a categorized analysis following the shareholder register was conducted to verify the research purpose. The result has demonstrated that companies categorized in II have somewhat more impact of tax shield on the companies’ debt-to-asset ratio.
Predicting Stock Closing Price Using Machine Learning Techniques
Predicting the stock price have been very challenging and profitable task. Since the introduction of artificial intelligence and machine learning techniques, the efficiency of prediction improved to a great extent. An attempt has been made in the present study to predict the closing price of the selected stocks using machine learning and deep neural network techniques. The data of top companies of the Indian stock market for the period from April 2016 to March 2021 have been used. It was obtained that the deep learning model, i.e., LSTM gave better results than the other machine learning model.
Copyright (c) 2023 Journal of Finance, Business and Management Studies
Supply Chain Risk Management In Retail Industry: A Systematic Review
In today’s global markets, categorized by enormously fast modifications in technology and customer’s demand, and by product life cycle getting shorter and shorter, a single firm has not the ability to be competitive if it is not included in a network that, operating as a single entity, is able to react to demand energy and unpredictability. Therefore, existing supply chains, designed in a global sourcing view, are highly vulnerable to worries resulting from a strong dependence on other network’s players, such as suppliers or logistics providers. In this difficult and competitive context, properly measuring and managing risks connected to the different stages of the value chain, as well as external and not directly controllable risks, means being able to ensure connection in supply. This paper attention on the particular field of the retail industry since its highly unpredictable demand and particularly short life cycle make it very important to examine risks connected to the supply chain. In fact, more suitable for real composite problems that cannot be completely denoted through a simple classified structure. The achieved results show that supply chain efficiency, in terms of correct management of both material and informative flows, is considered the most important part also for a demand-driven supply chain as the retail industry one which, in adding, is constantly looking for customer tastes and always changing trends.
A Research on Artificial Intelligence, Logistics analytics and Automation
In today’s situation, the whole world is fighting against the covid 19. In this situation, people are advice to follow certain curfews given by government. This lockdown and curfews created major loss in the business. Nowadays, the industry prefers the Automated Machine AM or robots for their production rather than the employees. So that it can reduce the number of workers in the industry and socialgatherings will be avoided and It will save the salary of employees. And while going with AM it will save time by producing huge number of products and it will also produce with the nil errors. In this covid situation, the logistics and Supply Chain Management SCM has been affected very much. Artificial intelligence AI is the developing field which helps the country to develop their nation’s production. AM are helpful for packing and separating products according to their categories. Investment on AI will be high and it has high ability to sustain for long period. This paper is all about to analyze the Logistics Analytics LA, in that how an AI and AM is helpful for that production. And the impacts caused to the society.
Maritime Transport during COVID 19 Pandemic: Evidence from Asian Countries
The outbreak of the COVID-19 was declared a pandemic by the World Health Organization during their virtual press conference on 11 March 2020. The event can be termed a 'Black Swan' because of its low probability and devastating impact on all sectors of the economy. Maritime Transport that accounts for 80% - 90% of the world trade, also witnessed the unprecedented impact. The paper examines the maritime transport industry during the COVID 19 pandemic. The maritime transport performance of 12 Asian countries has been analyzed. The data set has been collected for the period spanning from January 2018 to June 2021 from the United Nations Conference on Trade and Development (UNCTAD) website to measure Maritime Transport's performance during the COVID-19 pandemic. The findings reveal that the indicators - port calls, median time spent in ports and liner shipping connectivity was affected due to the COVID-19 pandemic.
The Future Implementation of Automation and AI In Smart Logistics
Augmenting application areas and depths of autonomous systems in logistics provide a new level of challenge for the analysis and design of human and machine synergy concepts. The advancements in the technologies, the ramification to modify the operation in the transportation, warehousing and the revolution in the business procedures as the result of the accumulating orders along with the complications involved in it, and the shortage in the management skills as like it allows us to save time, money and manpower because it helps in automating various time-consuming processes and helps in demand forecasting. This is essential for the design of a variety of automated logistics systems, including autonomous driving supervision for drivers and pilots. Smart Logistics can be implemented by using the technological concepts of Information and Communication Technologies (ICT), the internet of things (IoT), cyber-physical system (CPS), and the physical internet (PI). The relevance of the artificial intelligence in the warehousing and transportation to make it a smart environment for the automated logistics has been proposed in this paper. Apart from that The paper also concentrates on the automated storage, delivery and the retrieval using the internet of things (IoT), and artificial intelligence to have access to make things easier.
A Study on The Role of Artficials Intelligence In Managing Physical Distribution Of Medicines In Pharmaceutical Industry During Covid–19 Pandemic
Supply chain management of goods or service means the entire manufacturing flow, starting from the raw components procurement to providing finished product to the customer. It enhances the smooth flow of products in reaching the market and helps the customers to get an easy access to all the essential products like food, clothing and drugs at the right time and right place. Among all the basic amenities, it is drugs that demands the quick process of delivery. It is promoted by the pharmaceutical supply chain which assists in the manufacturing and meticulous delivery of medicines to patient. Physical distribution of medicine has become an impossible task in this pandemic which called for an immediate urge for the use of Artificial Intelligence (AI) in medicine distribution. Artificial Intelligence is the stimulation of human intelligence processes by machines, especially through computer systems. Use of AI in distribution of medicine proves to be more effective in this lockdown. This paper explores the role of Artificial Intelligence in managing physical distribution of medicines in pharmaceutical industry. Effective physical distribution is an integral part of Supply Chain which is intensified with the use of AI. Specific applications of AI include expert systems, natural language processing, speech recognition and machine version. The usage of AI in physical distribution of drugs has increased the efficiency in the complete process of physical flow of medicines from the pharmacy to the patients and delivering the medicines at the right time. Thus, this paper gives a conceptual idea regarding how the functions of AI supports in managing physical distribution of medicine in pharmaceutical industry.
The Awareness of Green Supply Chain Management Practices In Hotels
The COVID-19 pandemic has made a new era in the world & Still we figure out the consequences in different aspects of our lifestyle. The food supply chain and the food industry don’t comprise an exception. This research paper focuses on Green supply chain management practices such as Green purchasing, Green awareness and Green implementation among employees at Hotels. The respondents are 25 hotel employees selected from Food & Beverage, purchasing, receiving and inventory departments. Respondents are determined by the characteristics of their knowledge and availability of the supply chain management activities that are interrelated with departments in hotels. The findings show that respondents have a positive attitude towards the supply chain management practices in hotels. The study has identified the difficulties of adopting green practices across the hotel also. Results also provide insight and direction for adopting green practices across the supply chains of hotels worldwide.
An Analysis on The Convergence of Artificial Intelligence Techniques in Diabetic Management and Care
Diabetes Mellitus(DM) is a lethal and prevalent chronic disease which may lead to multi organ failures in patients. Artificial Intelligence technologies have made prominent progress in diagnosis and management of this chronic disease. AI methods with latest technological development in medical devices, mobile computing and sensor technologies provide better health care services for diabetic management and care. Machine learning and artificial intelligence based automated process for detection and diagnosis of diabetes mellitus is more beneficial than a manual diagnosis. Predictive models derived from the principles of machine learning can be used to develop algorithms for detecting diabetes and managing its consequent complications. These models assist in the self-management of the disease in patients and benefit the health care professionals through clinical decision support. Increase in the number of diabetic cases has resulted in the potential availability of data. Harnessing this data with the application of Artificial Intelligence and ML techniques and algorithms would give a deeper insight into the problems related to the disease and assist in devising comprehensive solutions for the same. This paper aims at analyzing the various AI techniques towards the strategic management of building targeted data driven precision care of the disease.
Operations, Logistics and Supply Chain During and Post-Covid-19: Challenges, Lessons and Way Forward; Case Study of Sultanate of Oman
The unprecedented coronavirus pandemic has exposed many industries leading to massive losses of property and lives. In order to prevent the spread of the virus and more loss of life, governments across the globe have enforced some restrictions. This has also been the case in Oman where these restrictions have unfortunately impacted movement of people and activities across different industries including supply chain, logistics and operations adversely. This research paper assesses the challenges that the virus has brought to these three industries, lessons and provides recommendations on the way forward. Given the current problems in the supply chain, the recommendations provided by this study will be useful to properly manage the industry and come out strong.
Operationalization of Mindfulness in Organization
Nowadays many companies are looking for management innovation as they are continuously trying to enhance the quality of their employees in order to improve the organization’s ability to adapt to changes and competitive pressures. How to build an organization based on cooperation and solidarity and enhance the collective wisdom of members has become the focus of research. In the innovative exploration of some companies, the concept of leader mindfulness has been introduced into many companies (Google, Apple, Sony, ING, etc.). The related research in the field of management is still in its infancy. Because leader mindfulness is very valuable to organizations, this article aims to study the psychological construct of this concept, so as to encourage leaders to adopt active and effective ways to lead organizations. This work adopts a qualitative approach of research. On this basis a pilot study based on MBSR was conducted. The managers experienced an 8-week MBSR training and practice. We conducted in-depth interviews with them to analyze the internal structure of mindfulness and its impact on the trainees from the perspective of management practice. The results show that mindfulness training has a positive impact on managers’ improvement of core abilities, including interpersonal skills and the ability to determine priorities, which are very important for improving management efficiency.