Psychologist on the Web: Using Online Business Relationships to Develop and Market a Specialty Practice

2008 ◽  
Author(s):  
Susan M. Giurleo
Keyword(s):  
Business Relationships ◽  
Online Business ◽  
Specialty Practice ◽  
The Web

scholarly journals What are the reasons to choose Laravel MVC for web development

2020 ◽  
Author(s):  
Sambhav Rajput
Keyword(s):  
Information System ◽  
Web Services ◽  
Internet Technology ◽  
Web Development ◽  
Website Development ◽  
Wide Range ◽  
The World ◽  
Online Business ◽  
The Web

In the current market, there is a wide range of interesting technological solutions. So, it is recommended to properly research, identify and implement the solution which most suited to the information system strategy. In contemporary years due to the brisk development of internet technology, online business is gradually rampant. Website users are very demanding as all the time they expect the web services to be quickly and easily accessible from different places around the world, whenever they need it. Website users always need very rapid and quick responses. Website development is a process that takes time and takes more time if the development language is simple, which is not consistent with this quick and evolving world of technology. So that's why frameworks are developed to overcome these problems related to web development and to create websites very conveniently.

scholarly journals TechUp : E-Commerce Website based on Chatbot

2019 ◽  
pp. 330-334
Author(s):  
Dr. Vijaya Balpande ◽  
Sushil Nakade ◽  
Tushar Gabhane ◽  
Wrushabh Hedaoo
Keyword(s):  
Simple Language ◽  
Online Business ◽  
A Site ◽  
Basic Level ◽  
The Web

TechUp is a site based chatbot. This chatbot can make it simple to interface with the site. The bot fathoms and talks with the customer in Simple Language. This chatbot is associated with an online business webpage. This site has an arrangement of things. The chatbot makes you settle on a decision which thing is sensible for you. Its abilities on a very basic level like an online mechanized collaborator. . The reason for this undertaking is to give a simple shopping office on the web and simple pitching office to the shippers everything being equal. The thought regarding this application is that it will assist the client with interacting with the online business motor through a canny collaborator.

scholarly journals An Innovative Method of Estimation Hewing for Invention Report Mining and Estimation Summarization

2020 ◽  
Vol 9 (2) ◽  
pp. 45-50
Author(s):  
S. Ravichandran ◽  
J. Sathiamoorthy
Keyword(s):  
Web 2.0 ◽  
Execution Time ◽  
Opinion Mining ◽  
Computational Method ◽  
Web Surveys ◽  
Quality Of Information ◽  
Innovative Method ◽  
Online Business ◽  
The Web

With the assistance of Web 2.0, the bases on client interest, posting on the web surveys has become an undeniably mainstream path for individuals to impart their perspectives to different client’s suppositions and conclusions toward items and administrations. It turns into a typical practice for online business sites to give the offices to individuals to convey and distribute their audits between them. These online audits present an abundance of data on the Services and Products, which will encourage the improvement of their business. Consequently a developing number of late examinations have been centred on the Opinion Mining. For example the Opinion Mining alludes to computational method for assessing the sentiments that are mined from different Web Sources. A couple of Opinion Mining based techniques have been considered and broke down. From our investigation, it is seen that a couple of feeling mining based directed and unaided techniques had not delivered great outcomes because of alluding less number of sentiments inside a similar URL’S and treating the highlights with comparable significance as various. To beat this issue, Topic Anatomy Model TSCAN was proposed, where the Task is called as Topic Anatomy and which sums up and relates the primary pieces of a point with the goal that the per users could comprehend the substance without any problem. By utilizing this model, the more data can be removed and related through their transient closeness, which will give conceivable substance. This model is including imperative part in the Opinion Mining since clients can impart their insights about the items. From our usage, it is seen that this plan gives the best reasonable answer for the client’s advantages and requests. Notwithstanding, it burns-through more opportunity to anticipate the best performing items because of huge informational collections respectively. Consequently our exploration work is proposed and actualized a productive strategy for Opinion Mining called an Efficient Parallel Opinion Mining (EPOM) constructed TSCAN Algorithm separately. It is centring more sites and it is removing more data in equal way, so we can get advanced productive outcome with least execution time. From our outcomes, it is noticed that it gives the best reasonable answer for the client’s advantages and requests and it I s improving the presentation of existing method regarding Quality of Information, Prediction and Execution Time.

Research on the Importance of Digital Etiquette As a Competence of a Modern Employee

2022 ◽  
pp. 48-52
Author(s):  
E. Gashe ◽  
A. Chalova ◽  
I. Shul'zhenko ◽  
A. Lobacheva
Keyword(s):  
Human Behavior ◽  
Computer Technology ◽  
Current Level ◽  
Digital Culture ◽  
Electronic Systems ◽  
Business Relationships ◽  
Current Topic ◽  
Online Business ◽  
Level Of Knowledge

This article is devoted to the study of the current topic - the importance of digital etiquette as an employee competence. The percentage of modern employee's communications in the online space is increasing, more and more work issues are solved using computer technology and electronic systems. This trend requires the development of a new digital culture of communication, which includes the rules that are necessary to build clear business relationships. In order to form a relevant, understandable and succinct set of recommendations, it is required to assess the current level of knowledge of digital etiquette. To do this, a survey was compiled that included questions defining human behavior in various situations that may arise during online business communications. Based on the survey with 120 respondents, recommendations on business etiquette topics were developed.

WEB PIZZA ORDERING USING PIZZA MANAGEMENT SYSTEM

2021 ◽  
Vol 5 (10) ◽  
Author(s):  
Ayussh Gupta ◽  
Mandeep Singh ◽  
Aryan Shrivastav ◽  
Dr. A. Suresh Kumar
Keyword(s):  
Management System ◽  
Online Business ◽  
On Line ◽  
Internet Business ◽  
The Web

The continuous advance in technology and web has increased number of online business ventures inside country such as India. Internet business improvement had also done web pizza requesting administration consistent for individuals who need to get pizza conveyed at their doorstep. Despite the fact that shoppers continue to go out for dinner, buyers find it exceptionally advantageous to arrange pizza web because its frees customer via a specific visit to these cafes. During the investigation, our main focus has always beento break down a buyer's view with web pizza requesting administration. In order to understand what components have assumed the predominant function of attracting buyers to the agricultural nation such as India, We have focussed upon this purchaser's discernment of the web pizza request. 2 objectives have been aimed besides study within the exploration research. One is recognize all components that had an impact on purchaser for arranging pizza on the web, and the second was to know the purchaser's preferences for on-line pizza requesting the administration supplier. To accomplish these items, an overview of the data was held. Review effectively helped to understand the behavior and impression of individuals applying for on-line pizza. It shows how successful individuals are searching for the most loved café, browsing accessible items, and placing their requests in just a few moments.

Ranking web as indicator of knowledge diffusion: an application for SMEs

2020 ◽  
Vol 33 (2) ◽  
pp. 219-240
Author(s):  
Magaly Gaviria-Marin ◽  
Claudio Cruz-Cázares
Keyword(s):  
Web 2.0 ◽  
Small And Medium Enterprises ◽  
Online Information ◽  
Content Type ◽  
Logistic Regression Models ◽  
Business Information ◽  
Online Business ◽  
Medium Enterprises ◽  
Information Providers ◽  
The Web

PurposeThe purpose of this article is to analyze the influence of the diversity of information and the use of Web 2.0 applications on the web positioning of online business information providers.Design/methodology/approachA total of 203 online business information provider websites were selected using three search engines (Google, Yahoo and Bing). This information was encoded to develop two logistic regression models.FindingsThe results suggest that the knowledge offered and the resources used to transfer this knowledge play important roles in the web positioning of online business information providers. This study found that entrepreneurs mainly seek technological knowledge, and to acquire it, they use various Web 2.0 applications that do not necessarily include social networks.Practical implicationsThis article presents a novel proposal to analyze how knowledge diversity and Web 2.0 applications influence the web rankings of websites that offer information and knowledge for established or new, small and medium enterprises.Originality/valueThis article is novel in that it links the theory of knowledge dissemination with the technologies of the Internet (websites, Web 2.0 applications) and provides evidence of diverse sources of online information that are potentially useful for the entrepreneur of the twentieth century.

scholarly journals E-Commerce Performance with Cloud Computing

2019 ◽  
Vol 8 (9S3) ◽  
pp. 1007-1009
Keyword(s):  
Cloud Computing ◽  
Electronic Commerce ◽  
Web Of Things ◽  
Business Experience ◽  
Online Business ◽  
Exchange Data ◽  
The Web

Electronic Commerce or E-Commerce is a term for a business that incorporates the trading of information over the web. It covers an extent of different kind of business from buyer based retail goals, trough closeout or music site, to business exchanges trading items and ventures between undertakings. The web of things is the arrangement of a physical inquiry embedded with devices, programming, sensors and framework accessibility that engages to assemble and exchange data. This paper will illuminate how IOT is executed in online business experience nearby the delineation of Amazon dash an IOT advancement made by Amazon

Knowledge Generation Using Sentiment Classification Involving Machine Learning on E-Commerce

2019 ◽  
Vol 6 (2) ◽  
pp. 74-90
Author(s):  
Swarup Kr Ghosh ◽  
Sowvik Dey ◽  
Anupam Ghosh
Keyword(s):  
Machine Learning ◽  
Deep Neural Networks ◽  
Sentiment Classification ◽  
Unstructured Data ◽  
Knowledge Generation ◽  
Great Opportunity ◽  
Machine Learning Methods ◽  
Social Analytics ◽  
Online Business ◽  
The Web

Sentiment analysis manages the computational treatment of conclusion, notion, and content subjectivity. In this article, three sentiment classes such as positive, negative and neutral emotions have been demonstrated by appropriate features from raw unstructured data followed by data preprocessing steps. Applying best in class social analytics methodology to examine the sentiments embedded with purchaser remarks, encourages both producer and individual customers. Machine learning methods such as Naïve Bayes, maximum entropy classification, Deep Neural Networks were used upon the data, extracted from some websites such as Samsung and Apple for sentiment classification. In the online business arena, the application of sentiment classification explores a great opportunity. The subsidy of such an investigation is that associations can apply the proposed social examination framework to exploit the entire social information on the web and therefore improve their proper blueprint promoting strategies corresponding business.

Best Practices for Social CRM

2013 ◽  
pp. 273-284
Author(s):  
Fabiana Lorenzi ◽  
Stanley Loh
Keyword(s):  
Best Practices ◽  
Social Networking ◽  
Business Relationships ◽  
Social Crm ◽  
Networking Technologies ◽  
The Relationship ◽  
The Web

This chapter presents a study of integration of traditional CRM systems with new social networking technologies available on the Web, such as Twitter, blogs, and communities, showing a set of the best practices on the use of these technologies to improve business relationships with customers. The authors present a set of best practices with guidance on how social networking technologies can help companies squeeze and improve the relationship with their customers.

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