scholarly journals A Study on Optimistic need of Artificial Intelligence in Fashion Retail Industry

2020 ◽  
Vol 06 (09) ◽  
pp. 211-214
Author(s):  
Niveditha A S
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Structural Change ◽  
Economic Factors ◽  
Body Type ◽  
Average Order ◽  
The Past ◽  
Regional Trends ◽  
Purchase Rate ◽  
The Right

The fashion e-commerce market has been growing steadily in the past few years accounting for USD 371 billion or 21% retail sales of apparel and footwear globally in 2019. But as most of the worlds are experiencing self-isolation and lockdown measures, the corona virus crisis is pushing brands to digitalize even faster to survive, engage with customers, designers, manufactures and redesign their supply chain operations. Many sectors are reeling from the fallout of the COVID-19 pandemic as they stare into the abyss of the impending recession and fashion has not been immune. But aside from economic factors, the industry is also facing lasting structural change. Artificial Intelligence optimizes conversion, Average Order Value (AOV) and repeat purchase rate by understanding a customer’s preferences and suggesting the right products and outfits for them. Recommendations are tailored to the physical stores with latest technologies by implementing virtual trail room, regional trends, as well as the customers’ body type, color, desired occasions and personal style.

scholarly journals Logistics Information Systems (LIS) on the Go-Mobile Apps and Social Media

2015 ◽  
Vol 7 (4) ◽  
pp. 64-73
Author(s):  
Hermann Gruenwald
Keyword(s):  
Social Media ◽  
Supply Chain ◽  
Information Systems ◽  
Supply Chain Management ◽  
Global Supply Chain ◽  
Smart Phones ◽  
Chain Management ◽  
The Past ◽  
Planning Software ◽  
The Right

Logistics has evolved over the past few decades from transportation and warehousing to global Supply Chain Management (SCM). This requires the coordination of the flow of material, money and information. The velocity of doing business has increased and manual operations have been automated. Modern Logistic Information Systems (LIS) with all its logistics related sub systems are replacing muscle power with brain power and pencil and paper with smart phones and social media. The virtual aspect of logistics has become equally important to the physical realm of transportation and warehousing. Supply Chain Management (SCM) deals with getting the right stuff to the right people at the right time in the right amount. To accomplish this task there are a number of more or less integrated logistics software application. Demand forecasting models based on historical data from data marts and data warehouses with built in seasonality and pricing models. Load planning software to appropriately palletize, containerize and load trucks, trains and vessels. Route planning software with real time traffic and weather updates combined with Global Positioning Systems (GPS) to reduce transportation time and fuel costs. Warehouse Management Systems (WMS) to receive, put-away, store, receive and marshal the shipment. Electronic documents accompany the shipment from purchase order, letter of credit to customs clearing and back-haul charges. While these applications in the past have been mostly desktop applications used in the office at the management level, the move is to mobile applications. The footprint of LIS is getting smaller and is moving from the desktop to the Smartphone. At the core of any logistic information systems (LIS) is electronic communication. With the advent of the internet and social media personal communication has taken on other forms. With smart phones and tablets like the I-Phone and I-Pad e-commerce advanced to m-commerce. While technology enables the global supply chain, how do future logistics professionals feel about applying this cutting edge communication technology in their personal and professional lives? This quantitative study compares the aptitude of Thai logistics management students towards the use of social media and modern mobile telecommunication technology in their personal lives and in the context of professional use in connection with logistics information systems (LIS).

scholarly journals Discover AI Knowledge to Preserve Cultural Heritage

2021 ◽  
Author(s):  
Leonardo Ranaldi ◽  
Fabio Massimo Zanzotto
Keyword(s):  
Artificial Intelligence ◽  
Cultural Heritage ◽  
Reference Points ◽  
Learning Theories ◽  
Human Knowledge ◽  
Rule Based ◽  
Symbolic Representations ◽  
The Past ◽  
New Vision ◽  
The Right

Documenting cultural heritage by using artificial intelligence (AI) is crucial for preserving the memory of the past and a key point for future knowledge. However, modern AI technologies make use of statistical learners that lead to self-empiricist logic, which, unlike human minds, use learned non-symbolic representations. Nevertheless, it seems that it is not the right way to progress in AI. If we want to rely on AI for these tasks, it is essential to understand what lies behind these models. Among the ways to discover AI there are the senses and the intellect. We could consider AI as an intelligence. Intelligence has an essence, but we do not know whether it can be considered “something” or “someone”. Important issues in the analysis of AI concern the structure of symbols -operations with which the intellectual solution is carried out- and the search for strategic reference points, aspiring to create models with human-like intelligence. For many years, humans, seeing language as innate, have carried out symbolic theories. Everything seems to have skipped with the advent of Machine Learning. In this paper, after a long analysis of history, the rule-based and the learning-based vision, we propose KERMIT as a unit of investigation for a possible meeting point between the different learning theories. Finally, we propose a new vision of knowledge in AI models based on a combination of rules, learning and human knowledge.

scholarly journals Application of Information and Technology in Supply Chain Management: Case Study of Artificial Intelligence – A Mini Review

2020 ◽  
Vol 5 (12) ◽  
pp. 19-23
Author(s):  
Hieu Bui Trong ◽  
Uyen Bui Thi Kim
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
The Past ◽  
Widespread Acceptance ◽  
Limited Application ◽  
Block Chain ◽  
Management Case Study

It is wide known that the world has been moving towards a digital future over the years, and Industry 4.0 technologies are considered to be the way of the future. One of the most prominent of these technologies (including Block Chain, Internet of Things, Cloud Computing, Big Data, etc.) is Artificial Intelligence (AI), was introduced to develop and create “thinking machines” that are capable of mimicking, learning, and replacing human intelligence. However, its widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management (SCM). The purpose of this work is to identify the contributions of AI to SCM through a brief review of the existing literature. Besides, this paper reviews the past record of success in AI applications to SCM and identifies the most subfields of SCM in which to apply AI.

“We have always been responsible”

2017 ◽  
Vol 29 (3) ◽  
pp. 372-383 ◽  
Author(s):  
Olof Brunninge ◽  
Helgi-Valur Fridriksson
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Social Memory ◽  
Chain Management ◽  
Content Type ◽  
The Past ◽  
The Social ◽  
The Right ◽  
Memory Perspective

Purpose The aim of this study is to discuss what implications referencing to the past can have on how firms manage their supply chains and communicate about them, drawing on the social memory literature. Design/methodology/approach In a conceptual manner, the authors connect the field of responsible supply chain management to the growing literature on corporate heritage and social memory in organizations. Findings The authors develop seven propositions related to the communication of the past and its connection to responsible supply chain management. Research limitations/implications A social memory perspective can inform supply chain management research, by helping to better understand how and with what consequences the past can be used in communication about supply chains. This paper is conceptual in nature and empirical investigations would be needed to support and/or modify the literature-based findings. Practical implications Managers should be aware that both opportunities and risks are associated with communicating the past in connection to responsible supply chain management. Deployed in the right way, such communication can be valuable both in marketing and in internal management processes. Originality/value This article introduces the social memory perspective to the supply chain management field and shows what implications it can have for research on responsibility in supply chains.

scholarly journals Use of Artificial Intelligence/Machine Learning in Cancer Research During the COVID-19 Pandemic

2020 ◽  
Vol 5 (S1) ◽  
pp. 251-253
Author(s):  
Vineet Kumar Kamal ◽  
Dolly Kumari
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cancer Patients ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Imaging Data ◽  
The Past ◽  
Learning Techniques ◽  
Increased Risk ◽  
The Right

The cancer patients are more vulnerable and are at increased risk of COVID-19 and related outcomes due to their weakened immune systems, specially patients with lung cancer. Amid pandemic, the diagnosis, treatment, and care of cancer patients are very difficult and challenging due to several factors. In such situations, the latest technology in artificial intelligence (AI) or machine learning algorithms (ML) have potential to provide better diagnosis, treatments and cares of cancer patients. For example, the researches may use clinical and imaging data with machine learning techniques to make differences between coronavirus-related lung changes and those caused by immunotherapy and radiotherapy. During this pandemic, AI can be used to ensure we are getting the right patients enrolled speedily and more efficiently than the traditional, and complex ways in the past in cancer clinical trials. This is the appropriate time to go beyond the “research as usual” approach and update our research via AI and ML tools to care the cancer patients and discover new and more effective treatments.

scholarly journals Socio-Economic Factors Influencing Youth Participation in Local Government Planning and Budgeting in Iringa Municipality

2021 ◽  
pp. 54-62
Author(s):  
Paul Balivumu Mpwehwe
Keyword(s):  
Local Government ◽  
Youth Participation ◽  
Economic Factors ◽  
The Past ◽  
Factors Influencing ◽  
Government Planning ◽  
The Government ◽  
Mixed Approach ◽  
The Right ◽  
Socio Economic Factors

This study focused at exploring the socio-economic factors influencing youth participation in planning and budgeting in Local Government Authorities (LGA) in Iringa Municipal Council. The study employed a mixed approach where data were collected through questionnaires and interviews. Findings from the study indicated that the youth did not participate in any activity in their LGA in the past three years whereby it was only 31(19.1%) of the youth respondents who participated in at least one of the local government activities in the past three years. Findings further indicated more male participation in planning and budgeting than female. On the other hand findings revealed that education has influence on youth participation in planning and budgeting whereby the more educated youth participated more than none educated youth. Based on the findings, it was concluded that there was an information gap between leaders and youth especially on local government planning and budgeting; hence the study recommended for creation of awareness on the right of the youth to participate in planning and budgeting. The study also recommended regular meetings with the youth in the wards/ streets to hear out their challenges and needs. Furthermore, the study urged the government to use youth friendly tools to create awareness to the youth on planning and budgeting processes and opportunities available in their locality and how they can tap into that pool of opportunity.

COMMONWEALTH Forum: The Politics of Science or the Science of Politics

Commonwealth ◽  
2017 ◽  
Vol 19 (1) ◽  
Author(s):  
John Arway
Keyword(s):  
Public Policy ◽  
Natural Resource ◽  
Factual Information ◽  
The Past ◽  
Difference Of Opinion ◽  
History Of ◽  
The Right ◽  
Scientific Facts ◽  
Environmental Agency ◽  
Laws And Regulations

The challenges of including factual information in public policy and political discussions are many. The difficulties of including scientific facts in these debates can often be frustrating for scientists, politicians and policymakers alike. At times it seems that discussions involve different languages or dialects such that it becomes a challenge to even understand one another’s position. Oftentimes difference of opinion leads to laws and regulations that are tilted to the left or the right. The collaborative balancing to insure public and natural resource interests are protected ends up being accomplished through extensive litigation in the courts. In this article, the author discusses the history of environmental balancing during the past three decades from the perspective of a field biologist who has used the strength of our policies, laws and regulations to fight for the protection of our Commonwealth’s aquatic resources. For the past 7 years, the author has taken over the reins of “the most powerful environmental agency in Pennsylvania” and charted a course using science to properly represent natural resource interests in public policy and political deliberations.

Accelerating Agricultural Growth—Is Irrigation Institutional Reform Necessary? (Distinguishedl Lecture)

1996 ◽  
Vol 35 (4I) ◽  
pp. 399-417 ◽  
Author(s):  
John W. Mellor
Keyword(s):  
Growth Rates ◽  
Irrigation System ◽  
Institutional Reform ◽  
Residual Effect ◽  
Agricultural Growth ◽  
The Past ◽  
Major Reform ◽  
History Of ◽  
The Right ◽  
Economic Growth Rates

The right to the flow of income from water is vigorously pursued, protected, and fought over in any arid part of the world. Pakistan is of course no exception. Reform of irrigation institutions necessarily changes the rights to water, whether it be those of farmers, government, or government functionaries. Those perceived rights may be explicit and broadly accepted, or simply takings that are not even considered legitimate. Nevertheless they will be fought over. Pakistan has a long history of proposals for irrigation reform, little or none being implemented, except as isolated pilot projects. Thus, to propose major changes in irrigation institutions must be clearly shown to have major benefits to justify the hard battles that must be fought and the goodwill of those who might win those battles for reform. Proponents of irrigation institution reform have always argued the necessity of the reforms and the large gains to be achieved. Perhaps, however, those arguments have not been convincing. This paper will briefly outline the failed attempts at irrigation reform to provide an element of reality to the discussion. It will then proceed to make the case of the urgency of reform in a somewhat different manner to the past. Finally, current major reform proposals will be presented. This paper approaches justification of irrigation reform by focusing on the agricultural growth rate. It does so because that is the critical variable influencing poverty rates and is a significant determinant of over-all economic growth rates. The paper decomposes growth rates and suggests a residual effect of deterioration of the irrigation system that is large and calls for policy and institutional reform. The data are notional, suggesting the usefulness of the approach and paves the way for more detailed empirical analysis and enquiry for the future.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

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