
WEB Marketing e Comércio Electrónico
Código
200139
Unidade Orgânica
NOVA Information Management School
Créditos
7.5
Professor responsável
Frederico Miguel Campos Cruz Ribeiro de Jesus
Língua de ensino
Português. No caso de existirem alunos de Erasmus, as aulas serão leccionadas em Inglês
Objectivos
No final do curso os alunos deverão ser capazes de:
- Discutir criticamente as principais noções e conceitos relacionados com CE e Marketing;
- Iniciar investigação científica em CE e Marketing.
Pré-requisitos
N/A
Conteúdo
1. Overview of electronic commerce
- Define electronic commerce (EC) and describe its various categories
- Describe and discuss the content and framework of EC
- Describe the major types of EC transactions
- Discuss e-commerce 2.0.
- Understand the elements of the digital world
- Describe the drivers of EC as they relate to business pressures and organizational responses
- Describe some EC business models
- Describe the benefits and limitations of EC to organizations, consumers, and society
2. E-marketplaces: mechanisms overview of electronic commerce; and e-tailing
- Describe the major EC activities and processes and the mechanisms that support them
- Define e-marketplaces and list their components
- List the major types of e-marketplaces and describe their features
- Describe electronic catalogs, search engines, and shopping carts
- Describe the major types of auctions and list their characteristics
- Discuss the benefits, limitations, and impacts of auctions
- Describe bartering and negotiating online
- List the major Web 2.0 tools and their use in EC
- Understand virtual worlds and their use in EC
- Discuss competition in the digital economy
- Describe the impact of e-marketplaces on organizations, intermediation, and industries
- Describe electronic retailing (e-tailing) and its characteristics
- Define and describe the primary e-tailing business models
- Describe how online travel and tourism services operate and their impact on the industry
- Discuss the online employment market, including its participants, benefits, and limitations
- Describe online real estate services
- Discuss online stock-trading services
- Discuss cyberbanking and online personal finance
- Describe on-demand delivery of groceries and similar products/services
- Describe the delivery of digital products and online entertainment
- Discuss various online consumer aids, including comparison-shopping aids
- Describe disintermediation and other B2C strategic issues
3. B2B e-commerce
- Describe the B2B field
- Describe the major types of B2B models
- Discuss the characteristics of the sell-side marketplace, including auctions
- Describe the sell-side models
- Describe the characteristics of the buy-side marketplace and e-procurement
- Explain how reverse auctions work in B2B
- Describe B2B aggregation and group purchasing models
- Describe other procurement methods
- Define exchanges and describe their major types
- Describe B2B portals
- Describe third-party exchanges
- Describe partner relationship management (PRM)
- Describe how B2B can benefit from social networking and Web 2.0
- Describe Internet marketing in B2B, including organizational buyer behavior
4. Innovative eCommerce systems and mCommerce
- Describe the various e-government initiatives
- Describe e-government activities and implementation issues including e-government 2.0 and m-government
- Describe e-learning, virtual universities and e-training
- Describe collaborative commerce and C2C activities in e-commerce
- Mobile Commerce: Concepts, Landscape, Attributes, Drivers, Applications, and Benefits
- Technical Infrastructure: Components and Services of Mobile Computing
- Mobile Financial Applications
- Mobile Enterprise Solutions: From Supporting the Workforce to Improving Internal Operations
- Mobile Entertainment and Other Consumer Services
- Location-Based Mobile Commerce
- Ubiquitous (Pervasive) Computing and Sensory Networks
- Implementation Issues in Mobile Commerce: From Security and Privacy to Barriers of M-Commerce
5. Social commerce
- The Web 2.0 and Social Media Revolution
- The Fundamentals of Social Commerce and Social Networking
- Social Shopping: Concepts, Benefits, and Models
- Social Advertising: From Viral Advertising to Location-Based Advertisement/Marketing
- Market Research and Strategy in Social Networks
- Social Customer Service and CRM
- Enterprise Applications: From Community Building to Collaboration
- Crowdsourcing: Collaborative Intelligence for Problem Solving and Content Creation
- Social Commerce: Applications in Virtual Worlds
- Entertainment, Multimedia Sharing, and Social Games
- Justification, Risks, Other Implementation Issues, and Strategy
6. Consumer behavior, Internet marketing, and advertising
- Describe the factors that influence consumer behavior online
- Understand the decision-making process of consumer purchasing online
- Describe segmentation and how companies are building one-to-one relationships with customers
- Explain how consumer behavior can be analyzed for creating personalized services
- Discuss the issues of e-loyalty and e-trust in EC
- Describe consumer market research in EC
- Describe the objectives of Web advertising and its characteristics
- Describe the major advertising methods used on the Web
Bibliografia
Baptista, G. and Oliveira, T. (2015) Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418-430.
Cuervo, M. R. V. and A. J. L. Menendez (2006) "A multivariate framework for the analysis of the digital divide: Evidence for the European Union-15," Information & Management (43) 6, pp. 756-766.
Cruz-Jesus, F., T. Oliveira and F. Bacao (2012) “Digital divide across the Europen union,” Information & Management 49, pp. 278-291.
Cruz-Jesus, F., Vicente, M.R., Bacao, F. and Oliveira, T., 2016. The education-related digital divide: An analysis for the EU-28. Computers in Human Behavior, 56, pp.72-82.
Martins, C, Oliveira, T. & Popovi?, A. (2014) Understanding the Internet banking adoption: An unified theory of acceptance and use of technology and perceived risk application, International Journal of Information Management, 34(1), 1-13.
Martins, R., Oliveira, T. and Thomas, M.A., 2016. An empirical analysis to assess the determinants of SaaS diffusion in firms. Computers in Human Behavior, 62, pp.19-33.
Miltgen, C.L., Popovi?, A. and Oliveira, T., 2013. Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context. Decision Support Systems, 56, pp.103-114.
Oliveira, T., Thomas M. & Espadanal, M. (2014) Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors, Information & Management, 51, 497-510.
Oliveira, T. & Dhillon, G. (2015). From Adoption to Routinization of B2B e-Commerce: Understanding Patterns across Europe, Journal of Global Information Management, 23(1), 24-43.
Oliveira, T., Thomas, M., Baptista, G. and Campos, F., 2016. Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, pp.404-414.
Oliveira, T., Faria, M., Thomas, M. A., & Popovi?, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM, International Journal of Information Management, 34(5), 689-703.
Oliveira, T. and M. F. Martins (2010) "Understanding e-business adoption across industries in European countries," Industrial Management & Data System (110) 9, pp. 1337-1354.
Torkzadeh, G. and G. Dhillon (2002) "Measuring factors that influence the success of Internet commerce," Information Systems Research (13) 2, pp. 187-204.
Turban, E., J. Strauss, L. Lai (2016) Social Commerce: Marketing, Technology and Management. Springer Texts in Business and Economics.
Turban, E., D. King, J. Lee, T.-P. Liang et al. (2014) Electronic Commerce 2014: Managerial and Social Networks Perspectives. Pearson Education, Limited,
Turban, E., D. King, J. Lee, T.-P. Liang et al. (2010) Electronic Commerce 2010: A Managerial Perspective. Boston: Prentice Hall.
Vicente, M. R. and A. J. Lopez "A Multidimensional Analysis of the Disability Digital Divide: Some Evidence for Internet Use," Information Society (26) 1, pp. 48-64.
Zhu, K., K. Kraemer, and S. Xu (2003) "Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors," European Journal of Information Systems (12) 4, pp. 251-268.
Zhu, K. and K. L. Kraemer (2005) "Post-adoption variations in usage and value of e-business by organizations: Cross-country evidence from the retail industry," Information Systems Research (16) 1, pp. 61-84.
Método de ensino
Aulas teóricas, complementadas por aplicações práticas, casos de estudo e simulações. Três trabalhos de grupo permitirá uma aplicação prática dos conceitos e técnicas estudadas na disciplina.
Método de avaliação
1st Period ? two presentations of EC application cases per group (30%), one presentation per group of a scientific paper (20%), participation and discussion (10%), and exam (40%).
2nd Period ? two presentations of EC application cases per group (30%), one presentation per group of a scientific paper (20%), and exam (50%).
EC application cases ? In-chapter cases highlight real-world problems encountered by organizations as they develop and implement EC. Questions follow each case to help direct students? attention to the implications of the case material. Each group (four people) will make two presentations (12 minutes per presentation).The groups chooses one case from the EC application cases provided on the table below and suggest another EC application case from its own initiative. This is, one case must be chosen from the list provided whereas the other is suggested by the student. Each case can only be presented once.
Scientific paper ? We provide a set of scientific papers and each group of students chooses one paper to analyze and make a presentation (12 minutes). The aim of this work is to develop research skills to prepare students to start conducting scientific research.
On the day of 1st period exam each group has to give me the final version of their presentations by e-mail and by paper (all three presentations).
The pass mark for the exam is 9.5.
Cursos
- Pós-Graduação em Análise e Gestão de Informação
- Pós-Graduação em Gestão dos Sistemas e Tecnologias de Informação
- Pós-Graduação em Direção de Sistemas de Informação
- Pós-Graduação em Gestão do Conhecimento e Business Intelligence (Inteligência de Negócio)
- Estudos de Mercado e Gestão do Relacionamento com o Cliente
- Pós-Graduação em Marketing Intelligence
- Pós-Graduação em Sistemas de Informação Empresariais
- Pós-Graduação em Digital Marketing and Analytics
- Pós Graduação em Digital Enterprise Management
- Pós-Graduação em Marketing Research e CRM (Estudos de Mercado e Gestão do Relacionamento com o Cliente)
- Pós-Graduação em Gestão dos Sistemas e Tecnologias de Informação
- Pós-Graduação em Análise e Gestão de Risco
- Pós Graduação em Cidades Inteligentes (Smart Cities)
- Pós-Graduação em Gestão de Informação e Business Intelligence na Saúde