Several considerations regarding the online consumer in the 21st century – a theoretical approach

In nowadays' informational society, both the rapid pace development of technology and Internet's heavy influence on everyday's life brought along new characteristics to the 21st century consumer. Accordingly, in this little e-s dominated world, it comes as no surprise that the booming business on the new virtual market, the Internet, triggered the appearance of a new consumer, the online consumer, by far more informed, open to progress and selective. Along with the shifts of the traditional consumer' traits, this aim of this article is to emphasize, on a theoretical basis, the rising importance of the online consumer in the 21st century, and point out its main hallmarks and consumer behavior habits. With Generation Y, not only thriving in the digital era but also prevailing as the most active online shopper, the profile of the 21 st century consumer is defined by a clearly new and enhanced perspective.informational society, Internet, online consumer's behavior, online consumer.

Shopping on Social Networking Sites: a Study on Facebook Consumers\u27 Psychological Characteristics

Saat ini, penggunaan media sosial seperti Facebook dan Twitter menunjukkan peningkatan pesat. Di Indonesia, Facebook menjadi salah satu media sosial dengan posisi keempat sebagai negara dengan pengguna terbanyak di dunia. Pada perkembangannya, media social membuka prospek pasar bagi para pemasar di dunia maya atau wirausaha digital. Karena itu, dibutuhkan pemahaman mendalam mengenai karakteristik pembeli online, bagaimana konsumen menginterpretasikan dan menerima stimuli berupa pesan dan informasi, yang di tahap selanjutnya dapat mempengaruhi keputusan pembelian. Penelitian ini bertujuan untuk memaparkan faktor­faktor yang dapat mempengaruhi kelompok konsumen usia muda dalam berbelanja di Facebook. Faktor karakteristik konsumen online yang diteliti difokuskan pada faktor psikologis. Sebanyak 15 konsumen pembelanja online dalam kelompok generasi Y (usia 20­30 tahun) diwawancara dan diobservasi. Hasilnya, terdapat perbedaan antara kelompok pria dan wanita, di mana pria berbelanja karena factor keunikan produk serta layanan (reliabilitas dan keamanan berbelanja). Sementara bagi wanita, faktor Kenyamanan merupakan hal yang utama. Kata Kunci: media sosial, facebook, online shopping, perilaku konsumen. Nowadays, social media like Facebook and Twitter, showed increasing number rapidly from time to time. In Indonesia, Facebook has become the largest social media, being the fourth place in user number in 2012, comparing to other countries. As a result, the development of social media provides a developing prospect for E­marketers and digitalentrepreneurs. If E­marketers know the insights on their buyers\u27 characteristic, they could get insights on how customers interpret and receive stimuli (messages/information), which could affect customers\u27 decisions. This paper focuses on interpreting factors which affect young people\u27s online shopping in Facebook, as well as finding consumers online characteristic factors which include cultural, social, personal and psychological factors. In this research, 15 consumers from various online shop in Facebook were interviewed and observed as informants. Those informants are in Y generation category (age 20­30) who had experienced shops online, male and female, to see if there any differences between gender in their psychological characteristics. From interviews and observations, male andfemale have different perceptions; female\u27s reasons to buy are more because of convenience, while male\u27s reasons are mainly because of product uniqueness and customer service factor, such as reliability and security

Web Data Extraction, Applications and Techniques: A Survey

Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data from the Web have been designed to solve specific problems and operate in ad-hoc domains. Other approaches, instead, heavily reuse techniques and algorithms developed in the field of Information Extraction. This survey aims at providing a structured and comprehensive overview of the literature in the field of Web Data Extraction. We provided a simple classification framework in which existing Web Data Extraction applications are grouped into two main classes, namely applications at the Enterprise level and at the Social Web level. At the Enterprise level, Web Data Extraction techniques emerge as a key tool to perform data analysis in Business and Competitive Intelligence systems as well as for business process re-engineering. At the Social Web level, Web Data Extraction techniques allow to gather a large amount of structured data continuously generated and disseminated by Web 2.0, Social Media and Online Social Network users and this offers unprecedented opportunities to analyze human behavior at a very large scale. We discuss also the potential of cross-fertilization, i.e., on the possibility of re-using Web Data Extraction techniques originally designed to work in a given domain, in other domains.Comment: Knowledge-based System

The impact of using instagram social media on student consumptive behavior

Instagram is a phenomenal social media among female college students because users are spoiled with various features available on Instagram, the campus provides a large bandwidth so they can access Instagram more easily, and the impact of expanding access to the internet becomes they are more consumptive to do transactions face to face

Marketing mix for e-commerce

The relevance of the analyzed issue is caused by the need to study the process of transformation of marketing in e-commerce, as the active involvement of business organizations in the field of e-business is often accompanied by problems of applying the usual marketing tools in a virtual environment. The article seeks to identify changes in the elements of the marketing mix in e-commerce in accordance with the trend of e-business and Internet technology. The leading approach to the study of this issue is the marketing model 7P, allowing structuring the changes in a complex of marketing tools with regard to trade and information services of online stores. The results of research were: to establish the determining role of technology and information support of consumers; to identify the areas of transformation of the marketing mix in e-commerce, demonstrating the significant influence of consumers on the content of 7P and personalize the supply of goods and services. The article may be useful for online stores in case of marketing strategy development, identification of the most important elements of 7P, assessment of marketing effectiveness and optimization of marketing costs. © 2016 Pogorelova et al

The internet of everything sustainable advantages and synergies in clustered retail

The Internet of Everything (IoE) is a concept introduced by Cisco as the succeeding phase of the Internet of Things (IoT), consisting in creating a network connection of objects, people, processes and data (Cisco 2013). The novelty in this concept is that instead of referring simply to the network connection of physical objects, the IoE allows for connected ‘things’ to send higher-level information back to machines, computers, and people for further evaluation and decision making (Cisco 2013). ! This dissertation aims to analyze the IoE concept’s strategic impact in clustered retails. In order to contextualize the concept and, later, perform the correct analysis of the subject, a review of the technologies at its core and Cisco’s perspective of IoE’s realization in retail is made. Furthermore, making up the core of sustainable strategic advantage analysis, a review is made regarding Resource-based View (RBV) model according to Barney’s framework and Customer Relationship Management (CRM) through Payne and Frow’s framework. In the subsequent chapter, the model of analysis is explained, incorporating the proposition that a smartphone application is, at a first phase, the optimal presentation layer for consumers. Empirical data collection is then performed through a questionnaire intended to give answer to the dissertation’s research question of sustainable competitive advantage. The results, collected from a population sample of 120 respondents, ascertained the importance of the smartphone app and its most appealing features. The strategic applicability of IoE in clustered retail is, then, confirmed through the application of both RBV and CRM models, which verify the system’s potential to generate sustained competitive advantage, confirming the dissertation’s main objective.A Internet of Everything (IoE) – ou a Internet de Tudo - é um conceito introduzido pela Cisco como fase sucessora da Internet of Things (IoT) – ou a Internet das Coisas -, caracterizada por criar uma rede de conectiva de objectos, pessoas, processos e informação (Cisco 2013). A novidade introduzida por este conceito é de que, em vez de fazer referência apenas à rede de conexões de objectos físicos, o IoE permite à rede de ‘coisas’ o envio de informação de qualidade superior de volta para máquinas, computadores, e pessoas para avaliações e decisões adicionais (Cisco 2013). O objectivo desta dissertação assenta na análise do impacto estratégico do conceito de IoE em retalho conglomerado. De modo a contextualizar o conceito e, mais tarde, proceder à correcta análise do tópico, uma revisão da tecnologia basilar e da perspectiva da Cisco em relação à implementação da IoE em retalho é realizada. Ademais, constituindo a origem da análise à vantagem estratégica sustentável, uma revisão é feita a ambos os modelo de Resource-base View (RBV), de acordo com enquadramento de Barney, e Customer Relationship Management (CRM) – ou Gestão de Relacionamento com o Cliente -, através do enquadramento de Payne e Frow. No capítulo subsequente, o modelo de análise é explicado, incluindo a proposição que uma aplicação para smartphone seria, numa primeira fase, o canal de ligação e apresentação ao consumidor ideal. A recolha de dados empíricos é, de seguida, executada através de um questionário, pretendendo dar resposta dar resposta à pergunta central da dissertação relativa à vantagem competitiva sustentável. Os resultados, recolhidos de uma amostra populacional de 120 inquiridos, determinaram a importância da aplicação para smartphones e quais as suas características mais apelativas. A aplicabilidade estratégica da IoE em retalho conglomerado é, assim, confirmada através da aplicação de ambos os modelos de RBV e CRM, que certificam o potencial do sistema em gerar vantagem competitiva sustentável, confirmando assim o objectivo principal da dissertação

The state-of-the-art in personalized recommender systems for social networking

With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding the right information from an abundance of Web data. Recommender systems can help users deal with information overload problem efficiently by suggesting items (e.g., information and products) that match users’ personal interests. The recommender technology has been successfully employed in many applications such as recommending films, music, books, etc. The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social networking environment, to propose a research direction for addressing user profiling and cold start problems by exploiting user-generated content newly available in Web 2.0

Segmenting Indonesian Online Customer

In marketing, internet has developed into a new distribution channel. Moreover, online transactions are growing hugely in recent years. It has created phenomena of online stores, spreading in Indonesia. Competition among online stores become fierce, and marketers should know how consumer behavior in internet environment.   The purpose of this research is to explore the characteristics of each different online consumer and the online store attributes that consumer chose as the important factors in the online store. Based on 203 participants, our findings indicate five segments of the online consumer. Those are online shopping lovers (a group that addicted to buy through the internet), online window shoppers (a group that like to know all the detail information, before they choose to buy), negative judgmental online users (a group who can use internet but do not like online shopping), on off shoppers (a group or segment of people who trust the online store, but prefer to buy directly through offline store)  and  traditional  shoppers  (a  group  of  people  who  don’t  like  online  shopping).  In addition, there is also similarity in those five segments.  Online customers believe that online store attributes, like security and service are important when they want to buy online