Keywords

Artificial Intelligence, E-Commerce, Online Retailers, Modern Communication Technology.

Introduction

The utilization of artificial intelligence in internet shopping is changing the E-trade industry by anticipating shopping designs dependent on the items that customers purchase and when they get them. For instance, in the event that online customers regularly purchase a specific brand of rice each week, at that point the online retailer could send a customized offer to these customers for this item, or even utilize an AI empowered suggestion for a beneficial item that works out in a good way for rice dishes. Internet business AI apparatuses or AI-empowered computerized colleagues, for example, the Google Duplex instrument is creating abilities like making staple records (from the customer's regular voice) and in any event, submitting web-based shopping requests for them.

Electronic Commerce and Artificial Intelligence have grown emphatically as of late, in 2018 China's online retail market scale keeps on extending, the online retail deals arrived at 9 trillion Yuan, among them, online retail deals of actual merchandise added up to 7 trillion Yuan, increment 25.4% from a year sooner, added to 45.2% of all out retail deals of social purchaser products increment, a 7.3% expansion in 2017. The quick advancement of internet business gets accommodation to purchasers’ request to enhance operational proficiency, improve the nature of administration, the electronic trade stage ceaselessly investigate better approaches to fulfill even more needs of customers. The rise of artificial intelligence has opened up novel thoughts and examples for the advancement of online business and examples Electronic Commerce (EC) alludes to the utilization of the Internet and present-day correspondence innovation for any type of business activity the executives or data trade.

E-commerce is Business Model

The center of E-commerce is plan of action dependent on electronic hardware and organization innovation, as it gadgets' the business cycles of all business exercises, including not just the remotely arranged business measures in business exercises of undertakings, for example, network showcasing, electronic installment, coordination and circulation, yet in addition the inner business cycles of endeavors, such as Supply Chain Management (SCM), Enterprise Resource Planning (ERP), Management Information System (MIS), Customer Relationship Management (CRM), Humana Resource Management (HRM).

The fundamental innovation establishment of e-commerce incorporates: Electronic Data Interchange (EDI), Internet, Extranet, Intranet, E-mail, information base, Web development innovation, and so forth online business is a financial and innovative upset; it is the result of economic, logical, mechanical and social turn of events. It depends on the Internet, with the help of PC network innovation; understand the nearby coordination of business innovation, data innovation and the executive’s innovation with solid complete qualities. The advancement of internet business changes the method of business exercises of undertakings and individuals' utilization conduct and gains extraordinary commitments to worldwide financial ground.

Artificial intelligence helps online business organizations improve results, with artificial intelligence; machines are figuring out how to help us and how to perform manual errands and is entrancing that they are tackling their work amazingly great, permitting us to zero in additional on an essential degree of business. Artificial intelligence is a pattern; however it gives us such countless open doors that it is only difficult to cover them across the board article. Allow us to zero in on the most remarkable and in vogue arrangements. There are alternate methods of utilizing Artificial intelligence in online business and in this section, as the most famous utilization of Artificial intelligence in online business is to more readily get clients, produce new leads and give an upgraded client experience. As online business has become the standard strategy for buying products and ventures, driving online business brand seriously put their cash in investigating how AI can improve brand seriousness and client steadfastness.

Artificial intelligence innovation is getting increasingly develop and is significantly changing the manner in which individuals work and live, particularly in the field of electronic business (E-trade), and it has step by step formed into an integral asset to help deals development and upgrade internet business tasks. As of now, the utilization of Artificial intelligence in the field of internet business is basically reflected in the accompanying perspectives: (talk bot) whose essential capacity is to consequently react to client questions, react to basic voice orders, and give item proposals utilizing a characteristic language preparing framework. Visit discoursed on internet business destinations and portable pages depend on AI calculations modified to speak with clients in a customized way. Visit bots can help shoppers find appropriate items, check the stock circumstance of items, think about different items, lastly assist purchasers with paying. If there are any protests or questions, the talk bot can likewise help clients contact the comparing administration staff. Buyers can converse with the robots through content, voice and even pictures.

Recommendation Engine

The suggestion motor is a finished proposal framework dependent on AI calculation structure. Utilizing AI calculation can understand profound learning, measurable programming, forecast and examination of client conduct, of enormous informational indexes, and foresee which items are probably going to draw in clients. To start with, in view of late pursuits by possible clients, the AI calculation in the proposal motor can record key subtleties of the looked through item dependent on the estimation results, The proposal motor at that point creates suitable Suggestions for the program and records them on an individual page, eventually assisting customers with finding the item rapidly. The utilization of dimensionality decrease calculation opens the change of suggestion framework by artificial intelligence, The most significant difference in the proposal framework by artificial intelligence is that the proposal framework is not, at this point viewed as an autonomous mix of proposal results, however the entire human-PC cooperation conduct.

The dynamic element of the framework and the client can be acknowledged by presenting the time measurement, numerous online business organizations, for example, amazon and Alibaba.com, use suggestion motors to recognize the intended interest group for their items. 3.3. Keen Logistics Intelligent coordination’s alludes to coordination’s improvement mode in which gear and control are made insightful by utilizing data innovation, to supplant individuals with specialized hardware. Contrasted and customary coordination’s mode, savvy coordination’s can incredibly improve administration quality and activity effectiveness. The idea of clever coordination’s was first proposed by IBM in 2009. At first, IBM proposed a brilliant production network that would create constant data through sensors, RFID tag, brakes, GPS and different gadgets and frameworks. The quickest effect of AI is on the backside store network and coordination’s joins. Anticipating stock isn't basic notwithstanding quickly changing interest and serious business sectors,

Nonetheless, artificial intelligence and profound learning calculation can decide the vital components of request cycle and compute the impact of these variables on turnover and stock through the model. The benefit of AI frameworks is that they can get more intelligent over the long run, making it more exact for organizations to anticipate stock interest. As of now, in the field of smart coordination’s and warehousing, Alibaba and JD have delivered unattended robotized wise stockpiling frameworks.

With the fast progress and persistent advancement of examination innovation, profound learning stage, voice investigation innovation, biometrics innovation, picture acknowledgment innovation, video investigation innovation, robot programmed preparing framework, text examination and Natural Language Processing (NLP) and other standard artificial intelligence advances will grow consistently, and AI will keep on advancing the turn of events and change of online business later on. Man-made reasoning procedures have ventured into the fast track, with develop innovation, is getting increasingly more broadly applied, it is growingly affecting angles, for example, client maintenance and consumer loyalty in internet business exchanges.

Over the long haul, Artificial intelligence will turn into a significant main impetus for the change of e-commerce. With the help of AI innovation, internet business will have a more extensive advancement prospect, which is helpful for the foundation of better client relationship the executives and the advancement of deals to overcome any barrier among personalization and protection.

Advantages of Artificial intelligence in e-Commerce

The main benefits of using AI in e-commerce include:

Client Driven Visual Hunt: Shoppers are regularly baffled with online business experience on the grounds that the item results demonstrating are frequently immaterial. To handle this issue, artificial intelligence utilizes regular language preparing to limit, contextualize, and improve query items for online customers. Additionally, it permits having visual inquiry abilities, finding and coordinating items. Additionally, artificial intelligence empowers customers to find reciprocal items and improve the client experience. Presently, shoppers may snap a photo of a companion's new shoes or new workout clothes, send it, and afterward artificial intelligence empowers shoppers to effortlessly discover comparative things through internet business stores. For instance, Amazon has this choice, which permits you to point at an item that you like and Amazon will recognize it and gives you the outcomes you will most presumably like since it will be actually the thing you were looking for. In this way, artificial intelligence makes it as simple as workable for us to buy items that we love on the web.

Re-target Possible Clients & Improve the Business Cycle: A few scientists found that in any event 33% of advertising leads are not followed up by the outreach group. This implies that pre-qualified potential purchasers keen on an item are simply abandoned. Additionally, numerous groups are over-burden with unmanageable client information that they do pretty much nothing or nothing with. What's more, that is when artificial intelligence is a genuine need. Artificial intelligence could assist with upgrading the business cycle, by fitting your critical thinking arrangements and making a solid deals message that arrives at buyers at the ideal time on the correct stage. These days, there are numerous artificial intelligence frameworks that empower NLP and voice contribution, for instance, Siri, Alexa, and so on This permits a CRM framework to answer client inquiries, take care of their issues and even distinguish new open doors for the outreach group. For instance, the North Face, a huge online business retailer, utilizes IBM's artificial intelligence arrangement Watson to all the more likely comprehend their purchasers. They can help their clients locate their ideal garments, by asking the client inquiries, for example, "where and when will you utilize your running garments? "what's more, clients can reply by saying it or composing it. IBM's product at that point examines many items to discover wonderful matches dependent on continuous client input and does extra research to discover the climate conditions in the zone, and so forth.

New Degree of Personalization: There are numerous artificial intelligence arrangements, for instance one of them that I truly need to make reference to is Boom train. These organization investigations distinctive touch focuses to assist the business with breaking down how clients are associating on the web: by means of portable application, web, email, and so forth Also, artificial intelligence motor is checking all gadgets and channels to make a widespread client see. Also, obviously, it encourages online business retailers to convey a consistent client experience across all stages. It will assist with sending applicable messages at the perfect time

Chat-bots & Virtual Assistance: E-Commerce business is currently centered around the client experience. The utilization of AI through the use of "chat-bots" is simply headed to drive the discussion in the period of conversational commerce. Also, it is in reality more than chat-bots can computerize request measures. Additionally, they are a successful and minimal effort method of giving all day, every day client care and gather significant information and track conduct. With chat-bot, e-commerce locales can build conversion rates by fitting the online experience for the customer. Also, Juniper Exploration says chat-bots will save more than $8 billion yearly by 2022. Once more, quite possibly the most popular models is, obviously, Amazon's remote helper, Alexa. It has coordinated into Amazon's own items just as items from different producers. Virtual assistance is required to affect clients' buy and give an inventive occasion to e-commerce retailers to exploit.

Improve Suggestions for Clients: With AI, brands can all the more cleverly and proficiently foresee client conduct and request and offer significant and accommodating suggestions. Incredible model is Starbucks; it utilizes artificial intelligence to dissect all the information it has assembled to convey more customized recommendations. The calculation considers: the client's data, client inclinations, buy history, outsider information, and relevant data.

Intelligent Agents: New intelligent agents exchange framework has become a famous device utilized in e-commerce. There are 3 principal use cases: coordinating purchasers and merchants; encouraging exchanges; and giving institutional framework. Also, prepare to be blown away. Everything in a programmed way!

Automation: artificial intelligence doesn't imply that the robots are dominating. These days many individuals are terrified that all that will be finished by robots in the closest future. Actually no, not actually! Robots offer occasion to retailers to give precisely what the client needs, when they need it, by utilizing innovation and calculations. As firms in the e-commerce proceed to extend and that implies having a developing number of clients, robotization turns into an unquestionable requirement and got one of their top venture needs for e-commerce stores. Also, as we probably are aware, when e-commerce begins to develop, the quantity of monotonous assignments develops too. Robots can take them over; everything from distributing new items on different channels to planning deals, offering limits to faithful clients, and so on Amazon submitted $5 billion in its tech interests in India alone, and Alibaba is investigating emptying $15 billion into innovative work spending throughout the following three years. Forrester Exploration (PDF) predicts that artificial intelligence related ventures will develop by around 300 percent in 2017, with organizations getting more serious by 2020 and acquiring $1.2 trillion every year.

The Technological Advancements

The technological advancements like Artificial Intelligence (AI), Big Data, istri uted computin , crypto raphy and internet or mo ile ased products lead to su estive analytics, machine learnin , smart contracts, di ital wallets, etc. Taylor & Francis, 2019). Financial industry can make payments, exchange, invest and manage their risk by using remarkable technological methods. With the rapid growth of FinTech there is need and a desire for a change in the policies (Luxton & David, 2014) hence, the concept of Reg-Tech is coming to fruition (Gurkaynak, Yilmaz & Haksever, 2016). Similarly, the role of Insur-Tech is also growing.

The presentation of Fin-Tech in nations, particularly the non-industrial nations can assist with boosting economic development yet this will likewise prompt increment the remaining task at hand of controllers as they should guarantee the dependability of the financial framework and shield it from misrepresentation activity and emergencies. Subsequently, legitimate checking by the administrative specialists is vital to evade digital assault, information spillage, and information robbery as it can prompt abuse of the data. For the great consequences of Fin-Tech, the clients just as the controllers must know with the structure and the working of the framework and the guidelines ought to be set up adequately. Fintech progresses are made conceivable through information and proficiency. Stage utilizes elective information sources, for example, service bills and prescient data to comprehend their client financial lives and survey their capacity to reimburse. Then again, a similar information and proficiency progress that permits clients to be incorporated can simply permit them to be misused.

We will focus on clarifying the Fin-Tech, open doors for financial establishments, and the difficulties confronting these foundations in executing FinTech arrangements. Today Financial Technology (Fin-Tech) is presented as a distinct advantage. How Fin-Tech is overcoming any barrier among finance and technology and carrying them a lot nearer to one another to such an extent that they are the fundamental piece of one another summons a feeling of progress, with the unknown and questionable viewpoint and result (World Monetary Discussion, 2017) Fin-Tech is dedicated to organizations or their agents that consolidate financial administrations with later, trend-setting innovations (Shabbir & Anwer, 2018)

Fin-Tech is a term flipped in the new past for technological advancement in financial administrations. Controllers are pursuing building up a normalized definition of this wide term. Right now there is no internationally perceived definition for the term “FinTech.” Castro, 2016) Nonetheless, as per the Financial Stability Board (FSB), of the BIS1, "FinTech is technologically empowered financial advancement that could bring about new plans of action, applications, cycles, or items with a related material impact on financial business sectors and establishments and the arrangement of financial administrations" (Save Bank of India, 2017). Fin-tech is the consolidation of two terms: finance and technology. Its principle objective in financial foundations is to improve the monetary development in the general public with the utilization of consistent financial arrangements. Similarly, FinTech gives financially savvy answers for the organizations and particularly new companies that help in the decrease of their expenses and improvement in business measures. Financial industry is a tricky yet significant area in the general public and thus vigorously managed by the controllers.

The point of this definition is to get a wide assortment of developments financial administrations under one umbrella utilizing technologies, paying little mind to their sort, size, and administrative status. This broadness in definition is useful while estimating and assessing the creating financial industry with its difficulties and openings. According to the law, new contestants in the market offer Web based and application-arranged items.

The financial help industry has experienced a few phases of advancement from accounting, to the shaping of focal, public banks and installment frameworks and later presentation of complex resource markets and other financial items. Creative installment frameworks like progressed wallets have been created and the web, retail, and telecom industry has begun offering financial administrations. In the previous decade numerous technological advancements have occurred which is being applied imaginatively in all elements of finance from installments to investment funds, getting, hazard the executives and financial warning.

The Fin-tech biological system incorporates fin-tech new businesses, technology engineers, governments, financial clients, customary financial foundations, and controllers. The job of colleagues with the fin-tech environment is another significant fragment (Ashrafian, 2015). Following the knowledge-based plan of action, most firms have stayed little yet interests in them have expanded. As per the IMF report, worldwide interest in FinTech rose from USD 9 bn in 2010 to USD 25 bn in 2016. Funding speculations have likewise extended from USD 0.8 bn in 2010 to USD 13.6 bn in 2016. The estimation of public FinTech firms has quadrupled since the worldwide financial emergencies, out passing different areas. Public area for the section seems to have grown dramatically meanwhile.

Working together with FinTech organizations is the most normally utilized type of partnership among FinTech organizations and Financial Administrations; as indicated by one report, 35% of the FIs are probably going to have joint endeavors with FinTech organizations.

Associations among FinTech and Financial Help grant straightforward, versatile, and by and large insignificant danger courses of action for the two players to play off each other\'s solidarity. On one hand, tenants can saddle the newcomers? arran ements and technolo ies, while limiting the expected result from failure to what in particular is specified in the affiliation ostentation. Of course, the technology associations exploit from the organizations' financing, and possibly from their present customer associations and brand. Meanwhile, these associations offer productive open doors for the Financial Administrations and FinTech associations to recognize and distinguish troubles and work on improving their associations supplement one another.

The financial industry area has gone through significant changes over the course of the hundreds of years because of changes in political and geographic systems and enactment, a few creators (Castro, 2016) express that another time is being conceived for manages an account with the ascent of Fin-Techs. This is an underexplored wonder and speaks to a significant test for the scholarly world just as for chiefs in the monetary business (Castro, 2016)

Fin-Tech shows up as a popular expression or hype, particularly in the press, as though it were a significant wonder that ought to be seen by specialists connected to the financial business, Information Technology (IT) and innovation (incubators, venture capital and angels, among others).

Gotten from getting the words accounts and innovation, the expression "blade tech" emerged in the logical writing in 1972. In a scholastic article, the VP of Manufacturers Hanover Trust, Abraham Leon Bettinger, point by point models about how every day issues experienced in that association were dissected and settled, and planned the balance innovation, consolidating bank ability with present day the board science strategies and the PC" (Bettinger, 1972).

Fin-Tech or fin-tech, in the current setting is a neologism that depicts the association of the advanced, for example, web related, innovations (for instance, cloud computing, mobile internet) with business exercises average of the financial services industry (for instance, advances, installments, moves of financial qualities and assorted financial tasks). In spite of the expanding interest in fin-tech, there is as yet an absence of agreement on its definition among researchers and specialists and on the hypothetical establishments of this field.

Besides, there is a prominent absence of works in the scholastic writing that manage this subject efficiently or that look to plan it so as to contract studies of the current writing to highlight new research exercises just as to structure logical information here and hence to be capable better to sponsor its scientists and professionals. Hoping to address this examination hole, this section intends to research the idea of fin-tech, to delineate the writing and point new courses and openings in the field. To accomplish that unbiased, the accompanying exploration questions (RQ) were defined: RQ1. How has the writing on blade specialists developed over the long haul? RQ2. Following definition for fin-tech: "an abbreviation which represents financial innovation, consolidating bank skill with present day the board science strategies and the PC" (Bettinger, 1972).

Challenges and Opportunities of FinTech

• As most fin-tech has a resource light advanced center business model, they have a serious edge over customary IFLS as far as cost and scale. These new market players challenge the business by catching business openings and engaging contenders by offering their administrations to them.

• Threat to data security and private is another test. The ampleness of current security guidelines and conventions is addressed considering high digital protection occasions as of late.

• There is an elevated level of trust in fin-tech, however. Fresh introductions in fintech can team up with IFLS, innovation and telecommunication organizations to profit by their picture and affix the cycle toward building trust.

• Maybe fate of FinTech is a foreboding shadow with silver linings, the significant dangers or the difficulties emerging from the upheaval of FinTech incorporates administrative dangers, descending tension on edges and data security.

• On the off chance that the administrative angle is overlooked, it can prompt botched chances in FinTech speculations. IFIs and innovation players could be looking for controllers as heading for course towards FinTech for venture. Presently the administrative advancement for FinTech is at its beginning phase, there is a prerequisite for significant conversations and ceaseless commitment between controllers, IFIs and FinTech organization for building trust over the new FinTech climate is exceptionally essential. Meanwhile, the immense assortment of FinTech and its differentiated marketable strategies make it trying for controllers to develop a one-size fits-all administrative structure. Therefore, profound discussions and ordinary gatherings and commitment between controllers, IFIs and FinTech accomplices in the current beginning phase of administrative improvement is pivotal and essential for building clearness and trustful climate.

• Since most FinTech organizations have a resource light, advanced center plan of action, they have a serious edge over customary IFIs as far as expenses and scale. There is no necessity to possess data innovation themselves; they can enlist or re-appropriate the cloud for operational infrastructures. In this manner, these new market players challenge the business by catching business openings and enabling contenders by offering their administrations to them.

• Danger to data security and private is another test. Right now, this issue is vital. The sufficiency of current security norms and conventions is addressed considering high number of network safety occasions as of late. PwC?s Glo al State of Information Security Survey 2016 detailed a 38% ascent in security occurrences recognized internationally in 2015 than in 2014.

• Diminished piece of the pie and expanded client beat rate is another enormous test. FinTech permits altered and online arrangements like robo-consultants and distributed loaning stages that are modest, simple to utilize and helpfully accessible. This outcomes in a deficiency of piece of the pie. Not with standing, despite every one of these contemplations, numerous IFIs accept that clients are not prepared for totally subbing their administrations with FinTech advancements, which is the significant motivation behind why expanded client stir is certainly not a major concern, facing genuine challenges, there is a high level of trust in FinTech.

• The acknowledgment that FinTech simply speaks to a for the most part generally safe of expanded customer stir for IFIs may be a direct result of the time it takes for new businesses to build up customers' trust and assemble their standing and brand picture.

Opportunities

• In any case, new arrivals in FinTech can collaborate with IFIs, technology and telecommunication

• Companies to profit by their picture and attach the cycle toward building trust.

• The above circumstance includes the powerful thought of the FinTech climate. The view of client can move and FinTech players can move toward outsider brands and influencers for making trust.

• Separation is maybe the most sought-after a promising circumstance emerging from FinTech, as chosen by 87% of Malaysian respondents in PWC?s study. This preferred position is explicitly important in an all-around developed, serious and created IFIs.

• As FinTech is generally new, the IFS and FinTech organizations, by holding hands together, can without much of a stretch recognize, segregate, and separate themselves from the adversaries. They get an opportunity of ein the head ones, particularly in creatin countries? markets like Pakistan to give new inventive item contributions. Along these lines, separation because of FinTech is critical to IFIs.

• The Reduced Costs is another significant chance for reception of FinTech. These productive and practical help arrangements like Software as-a-Service (SaaS) are moving the design from actual channels computerized and versatile conveyance. IFIs? or anizations with FinTech or anizations can improve, le itimize, and smooth out IFIs? activities with less operational expenses. Besides, the "resource light" models that FinTech organizations use, can be looked by IFIs to harvest the products of cost decrease.

• Improved Customer Retention: The FinTech answers for IFIs can offer better client commitment, with more touch focuses and better relations through more incessant connections. This would straightforwardly hit client dedication in a positive manner.

• The Financial Technology (Fin-Tech) is viewed as one of the advances that would upset the financial business positively. It's all around the world accepted to be the difficult innovation that would engage firms to contend adequately in the 21st century. Governments around the planet have focused on this test and contrived approaches and guidelines to help fintech advancement. Banks put intensely in innovation in endeavors to improve the productivity of the financial advancement framework.

• The banking area is viewed as an service area – a tertiary area where the ventures include the change of material good, individuals or data. Fintech installment developments offer new scene in the advanced time of financial industry. It additionally gives a stage to banks and non-banks to encourage cross-network moves and installment administrations.

• A bank is not, at this point the lone community for every single financial assistance. E-commerce or telecom organizations could make new types of financial services utilizing innovation to utilize the part of banks. Fintech organizations can decide to be the "disrupters"- players that enter the market to contend with existing financial foundations, or associates - Those fundamentally focusing on financial establishments as clients.

Challenges and Opportunities of FinTech

Taiwan's administration plans to pull in 5 billion TWD in absolute financing and at any rate 30 new businesses. Among these activities, some are guidelines that permit banks, guarantors, or other account related organizations to work the computerized money organizations. The TFSB's fintech improvement system white paper (financial supervisory committee 2016 c) diagrams an essential structure recognizing the significant advancement measurements: installment, protection, advances, swarm financing, speculation the executives and market supply.

Bradenburger & Nalebuff (1969) contended that collaboration and rivalry exist and are alluring in each industry (Levinson & Asahi, 1995). At the point when all players center around market development, at that point they should collaborate to expand the advantages to all players (Hill & Lynn, 2003). Simultaneously, rivalry conveys the advantages procured by singular players relying upon their piece of the pie. In any case, Banks, Technology Companies, and Customers are not "FinTech Ready". Taiwan is behind in the upset of monetary digitalization regarding reasonable turn of events, client reception and enactment. Taiwan's banks have been ensured for a long time. Banks, innovation organizations and client are not "fintech prepared". Firms in the business face high passageway hindrances, high rivalry and a market size that isn't alluring to new difficulties.

Conclusion

Taking everything into account, we dare say that AI is on the ascent in the E-Commerce, notwithstanding, it is still a long way from being awesome. E-Commerce firms keep on improving their AI instruments to more likely match market interest. They additionally accomplice up with different organizations to blend their abilities in AI and make more complex arrangements. We accept that Artificial Intelligence in E-Commerce will affect exchanges, client maintenance, fulfillment, effectiveness and some more. Artificial Intelligence is changing the way we purchase and sell on the web. On the off chance that you are chipping away at an E-Commerce task and you need assistance with programming improvement, let us know! We would be glad to find out about your venture!

AI in E-Commerce is assuming a main job in driving inventive arrangements and client encounters. Some the main use instances of Artificial Intelligence in E-Commerce are in the region of customized shopping, item proposals, and stock administration. Moreover, AI can help firms influence the prospects of AI and AI in E-commerce area.

References

1. Areiqat, A., & Zamil, A. (2019). How applying soft lean components can contribute to reducing costs in the service sector: The Case of Al-Ahliyya Amman University. International journal of supply chain management, 8(5), 57-64.
2. Areiqat, A.Y., Hamdan, Y., Zamil, A.M., Omar, Horani, & Al-Khoury, A.F. (2020). Culture and leadership are simply two sides of the same coin. International Journal of Innovation, Creativity and Change. 13(4), 123-147.
3. Areiqat, A.Y., Zamil, A.M., Fat?i, A., Ahmad, M.M., & Abushaar, H.M. (2020). The concept of governance in universities: reality and ambition. International Journal of Innovation, Creativity and Change, 13(1), 951-969.
4. Areiqat, A.Y, Abdelhadi, T., Tarawneh., A., & Ahmad, H. (2010). Talent management as a strategic practice of human resources management to improve human performance. Interdisciplinary Journal of Contemporary Research in Business, 2(2), 329-341.
5. Areiqat, A.Y., & Ahmad, A.H. (2019). Knowledge management and intellectual capital role in achieving creativity for teaching staff members at Jordanian universities. International Journal of Business and Management, 13(12), 38-49.
6. Areiqat, A.Y., & Naji, B. (2016). The role of employee's empowerment strategy in improving the organization's effectiveness. Dirasat: Administrative Sciences, 161(3988), 1-16.
7. Areiqat, A.H. (2019). Intellectual capital in light of creativity and competitiveness: overview of organizations intangible assets. The Journal of Social Sciences Research, 5(7), 1135-1143.
8. Arner, D., Barberis, J., & Buckly R. (2012). The evolution of fintech, a new post crisis paradigm, Electronic Journal 47(4) 1271-1319.
9. Ashrafian, H. (2015). Artificial intelligence and robot responsibilities: innovating beyond rights. Science and Engineering Ethics, 12(1), 317-326.
10. Barbell, T., Banker, A. & Pihlajamaa, M. (2017). User knowledge utilization in innovation of complex products and systems: an absorptive capacity perspective. Creativity and Innovation Management, 27(2), 169-182.
11. Beetinger, A. (1972). FinTech: A series of 40 time shared models used at manufacturers Hanover trust company. Informs, 2(4), 62-63.
12. Bofondi, M., & Gobbi, G. (2017). The big promise of fintech. European Economy, 2(1), 107–119.
13. Brooks, R. (1991). Intelligence without representation. Artificial Intelligence, 47(1), 1-3.
14. Brooks, R. (2018). The artificial life route to artificial intelligence: building embodied (1st Edn.). Routledge.
15. Das, S.R., Kim, S., & Kothari, B. (2019). Zero-revelation linguistic regulation: Detecting risk through corporate emails and news. Journal of Financial Data Science, 1(1), 8-34.
16. Davenport, T. (2018). The AI advantage: How to put the artificial intelligence revolution to work. MIT Press.
17. Davenport, T., & Kirby, J. (2016). Just how smart are smart machines? MIT Sloan Management Review, 57(3), 21-25.
18. Dedehayir, O., & Steinert, M. (2016). The hype cycle model: A review and future directions. Technological Forecasting and Social Change, 108(1), 28-41.
19. Fleming, P. (2019). Robots and organization studies: Why robots might not want to steal your job. Organization Studies, 40(1), 23–38.
20. Ghahramani, Z. (2015). Probabilistic machine learning and artificial intelligence. Nature, 521(7553), 452–459.
21. Gurkaynak, G., Yilmaz, I. & Haksever, G. (2016). Stifling artificial intelligence: Human perils. Computer Law & Security Review, 32(5), 749-758.
22. Hoffman, D., & Novak, T. (2018). Consumer and object experience in the internet of things: An assemblage theory approach. Journal of Consumer Research, 44(6), 1178–1204.
23. Hussain, G.Z, Longbin, R., Azhar A., Haseeb U., Sohail R., …& Sun, T. (2018). Role of plant-derived flavonoids and their mechanism in attenuation of alzheimer’s and parkinson’s diseases. An Update of Recent Data. MDPI, 23(4), 814.
24. Hussain, G.Z, Longbin, R., Azhar A., Haseeb U., Sohail R., …& Sun, T. (2019). Role of cholesterol and sphingolipids in brain development and neurological diseases. Lipids in Health and Disease, 18(26), 2- 12.
25. Kaplan, A., & Haenlein, M. (2019). Siri, in my hand: Who’s the fairest in the land? on the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.
26. Kaplan, A., Haenlein, M., Tan, C., & Zhang, P. (2019). Artificial Intelligence (AI) and management analytics. Journal of Management Analytics, 6(4), 343.
27. Kober, J., Bagnell, J., & Peters, J. (2013). Reinforcement learning in robotics: A survey. The International Journal of Robotics Research, 18(1), 216-227.
28. Kwak, S., Kim, Y., Kim, E., Shin, C., & Cho, K. (2013). What makes people empathize with an emotional robot? The impact of agency and physical embodiment on human empathy for a robot. In Proceedings of the IEEE International. Symposium Robot Human Interaction Community, 12(1), 180–185.
29. Lee, I., & Shin,Y. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges, Business Horizons, 61(1), 35-46.
30. Lochy, A., & Heering, A. (2019). The non-linear development of the right hemispheric specialization for human face perception, Neuropsychologia, 126(1), 10-19.
31. Luxton, D., Larry, D., Pruitt, D & Osenbach, J.E. (2014). Best practices for remote psychological assessment via telehealth technologies. Professional Psychology: Research and Practice, 45(132(11)), 1238–1274.
32. McCarthy, J. (1960). Recursive functions of symbolic expressions and their computation by machine. Communications of the ACM, 3(4), 184-195.
33. Navaretti G., Calzolari G., & Pozzolo A. (2017). Fintech and banking friends or foes, European economy, 2.
34. Pedersen, I., Reid, S., & Aspevig, K. (2018). Developing social robots for aging populations: A literature review of recent academic sources. Sociology Compass, 12(6), 135-146.
35. Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J., & Breazeal, C. (2019). Machine behavior. Nature, 568(7753), 477–486.
36. Reese, B. (2018). The fourth age: Smart robots, conscious computers and the future of humanity. New York, NY: Atria Books.
37. Schueffel, P. (2016). Taming the Beast: A Scientific Definition of FinTech. Electronic journal, 4(4)32-54.
38. Shim, Y., & Shin, D. (2017). Analyzin china’s FinTech industry from the perspective of actor– Network theory. Telecommunications Policy, 40(2/3), 168-181.
39. Syam, N. & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69(1), 1-12.
40. Thompson, B.S. (2017). Can financial technology innovate benefit distribution in payments for ecosystem services and REDD? Ecological Economics, 139(1), 150-157.