Vpliv umetne inteligence na elektronsko poslovanje

magistrsko delo

Lara Čagran (Author), Samo Bobek (Mentor)

Abstract

Pandemija Covid-19 je spremenila svet. Potrošniki so se začeli spreminjati in nanašati na spletno nakupovanje, saj so zakoni zahtevali, da ljudje ostanejo doma. Zardi tega je veliko podjetij moralo spremeniti svoj način poslovanja, če je želelo ostati konkurenčno. Morali so se prilagoditi na hitre spremembe. Ravno pandemija je spodbudila razvoj novih tehnologij med njimi tudi umetne inteligence. Pri umetni inteligenci gre za inženiring strojev in programov za njihovo izdelavo. Inteligentni ljudem posredujejo informacije, ki jim bodo pomagale pri njihovem procesu odločanja ter tudi sprejemajo odločitve. Umetna inteligenca ima programsko opremo, ki jo je mogoče programirati v skladu z cilji in potrebami podjetja. Elektronsko poslovanje zajema različne dejavnosti, vključno z nakupom in prodajo blaga ter storitev, oglaševanjem in komunikacijo s strankami. E-podjetja običajno delujejo preko spletnih mest ali spletnih platform, ki služijo kot glavni vmesnik za transakcije, pri čemer uporabljajo varne plačilne prehode za finančne transakcije. Zaledni sistemi, kot so upravljanje zalog, upravljanje strank in obdelava naročil, so ključnega pomena za delovanje e-poslovanja. Uspeh v e-poslovanju je odvisen od ponudbe izdelkov, uporabniške izkušnje, tržnih strategij, učinkovite dostave in vrhunske storitve za stranke. E-trgovina je podobna vsaki fizični trgovini. Uporabniki obiščejo e-trgovino, se razgledajo po spletni stani in če jim je všeč nekaj kupijo. Razlika je le v tem, da jim ni treba imeti lastnega prostora in lahko vse izdelke iščejo kar doma. Cilji e-trgovine so različni glede na podjetje. Splošni cilj je zmanjšanje stroškov, povečanje prodaje in povečati zadovoljstvo strank. Podjetja si postavijo cilje e-trgovine, da jim pomaga razumeti na kaj se morajo osredotočiti. Cilji zagotovijo smernice za spodbujanje rasti in doseganje uspeha. Cilji morajo biti jasni in jedrnati morajo pa biti tudi merljivi. Umetna inteligenca obsega računalniške sisteme, ki so sposobni izvajati naloge, ki so tradicionalno povezane s človeško inteligenco – kot so napovedovanje, prepoznavanje predmetov, tolmačenje govora in generiranje naravnega jezika. Sistemi umetne inteligence se naučijo kako nekaj storiti, tako da obdelujejo veliko količino podatkov. V nekaj primerih učni proces umetne inteligence nadzorujejo ljudje, ki krepijo dobre odločitve in odvračajo slabe, a obstaja sistemi umetne inteligence , ki so zasnovani tako, da se lahko učijo brez nadzora ljudi. Umetno inteligenco številne tehnologije uporabljajo za izboljšanje zmogljivosti. Najdemo jo v pametnih telefonih s pripomočki umetne inteligence, raznih platformah za e-trgovino z plačilnimi sistemi in vozili s sposobnostmi avtonomne vožnje. Umetna inteligenca pomaga ljudi zaščititi s pilotiranjem spletnih sistemov za odkrivanje goljufij in roboti za nevarna delovna mesta. Vsak stroj, ki ima vgrajeno umetno inteligenco, lahko pretekle izkušnje uporabi za predvidevanje prihodnjih dejanj, spomina in samozavedanja na podlagi različnih sposobnosti stroja. Zato lahko umetno inteligenco razvrstimo v različne podkategorije. Razvoj tehnologije lahko omogoči ustvarjanje strojev z občutkom zavedanja in prepoznavanja. Umetna inteligenca v poslovanju pomeni uporabo orodij umetne inteligence kot so strojno učenje, obdelava naravnega jezika in računalniški vid za optimizacijo poslovnih funkcij, povečanje poslovne vrednosti in produktivnosti zaposlenih. Podjetja umetno inteligenco uporabljajo za krepitev analize podatkov in sprejemanja odločitev izboljšanje uporabniške izkušnje, ustvarjanje vsebine, optimizacijo IT, prodaje, trženja in praks kibernetske varnosti. Umetna inteligenca se uporablja kot orodje za podporo človeške delovne sile pri povečanju učinkovitosti poslovanja.

Keywords

umetna inteligenca;strojno učenje;elektronsko poslovanje;e-trgovina;Amazon;ChatGPT;

Data

Language:	Slovenian
Year of publishing:	2024
Typology:	2.09 - Master's Thesis
Organization:	UM EPF - Faculty of Economics and Business
Publisher:	L. Čagran
UDC:	004.8
COBISS:	207352323
Views:	35
Downloads:	10
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	ǂThe ǂimpact of artificial intelligence on electronic business
Secondary abstract:	The Covid-19 pandemic has changed the world. Consumers began to change and relate to online shopping as laws required people to stay at home. As a result, many companies have had to change the way they do business if they want to remain competitive. They had to adapt to rapid changes. It was the pandemic that spurred the development of new technologies, including artificial intelligence. Artificial intelligence is the engineering of machines and the programs for their production. Intelligent people provide information to help them in their decision-making process and also make decisions. Artificial intelligence has software that can be programmed according to the goals and needs of the business. E-commerce encompasses a variety of activities, including the purchase and sale of goods and services, advertising, and communication with customers. E-businesses usually operate through websites or online platforms that serve as the main interface for transactions, using secure payment gateways for financial transactions. Back-end systems such as inventory management, customer management and order processing are critical to the operation of an e-business. Success in e-commerce depends on product offerings, user experience, marketing strategies, efficient delivery and superior customer service. E-commerce is similar to any physical store. Users visit the e-shop, look around the website and, if they like it, buy something. The only difference is that they don't have to have their own space and can search for all the products right at home. E-commerce goals vary from business to business. The overall goal is to reduce costs, increase sales and increase customer satisfaction. Businesses set e-commerce goals to help them understand what they need to focus on. Goals provide guidelines to drive growth and achieve success. Objectives must be clear and concise, but they must also be measurable. Artificial intelligence comprises computer systems capable of performing tasks traditionally associated with human intelligence – such as prediction, object recognition, speech interpretation and natural language generation. Artificial intelligence systems learn how to do something by processing large amounts of data. In a few cases, the AI learning process is controlled by humans, reinforcing good decisions and discouraging bad ones, but there are AI systems that are designed to learn without human supervision. Many technologies use artificial intelligence to improve performance. It can be found in smartphones with artificial intelligence devices, various e-commerce platforms with payment systems and vehicles with autonomous driving capabilities. Artificial intelligence helps keep people safe by piloting online fraud detection systems and robots for dangerous jobs. Any machine that has built-in artificial intelligence can use past experiences to predict future actions, memory, and self-awareness based on the machine's various abilities. Therefore, artificial intelligence can be classified into different subcategories. Developments in technology may enable the creation of machines with a sense of awareness and recognition. Artificial intelligence in business means the use of artificial intelligence tools such as machine learning, natural language processing and computer vision to optimize business functions, increase business value and employee productivity. Companies are using artificial intelligence to enhance data analysis and decision-making, improve user experience, create content, optimize IT, sales, marketing and cybersecurity practices. Artificial intelligence is used as a tool to support the human workforce in increasing business efficiency.
Secondary keywords:	Artificial intelligence;machine learning;e-commerce;types of e-commerce;e-commerce goals;Amazon;types of artificial intelligence;ChatGPT;
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univ. v Mariboru, Ekonomsko-poslovna fak.
Pages:	1 spletni vir (1 datoteka PDF (II, 66 str.))
ID:	24196876