Journal of Finance, Business and Management Studies

Operations, Logistics and Supply Chain During and Post-Covid-19: Challenges, Lessons and Way Forward; Case Study of Sultanate of Oman

Mohammed Hatem Jan Al-Balushi — 2022-07-31

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.

An Analysis on The Convergence of Artificial Intelligence Techniques in Diabetic Management and Care

R. Smeeta Mary — 2022-07-31

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.

The Awareness of Green Supply Chain Management Practices In Hotels

A. Rosary Infanta — 2022-07-31

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.

A Study on The Role of Artficials Intelligence In Managing Physical Distribution Of Medicines In Pharmaceutical Industry During Covid–19 Pandemic

R. Abinaya — 2022-07-31

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 Future Implementation of Automation and AI In Smart Logistics

M. Priya Dharshini — 2022-07-31

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.

Maritime Transport during COVID 19 Pandemic: Evidence from Asian Countries

Smita Jesudasan — 2022-07-31

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.

A Research on Artificial Intelligence, Logistics analytics and Automation

P. Shirline Kirubha — 2022-07-31

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.

Supply Chain Risk Management In Retail Industry: A Systematic Review

K. Suregka Felix — 2022-07-31

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.