|Lesson 5||Roles/stages of e-Business evolution |
|Objective||Understand the stages of e-Business evolution. |
Roles and Stages of e-Business Evolution
The world of e-Business, or e-space has matured as a result of two factors:
- cultural acceptance of electronic distribution, and
- technology evolution.
It is important to recognize the stages of e-Business evolution.
Stages of e-Business evolution
The model below is a useful tool for consulting engagements, as it allows you to determine in which stage a prospective client lies.
Is this company advanced or is it at the beginning of its evolution?
The six stages of e-Business include:
- Relationship management
- Contextual management
E-Business stages are cumulative; thus, each stage builds upon the last.
The specific stage an organization is in varies depending upon the goals and objectives of the e-Business.
Six Stages of E-Business
- Contextual Management : Contextual Management is not simply a front-end concept, it is a separate back-end environment focused on capturing, maintaining
persistence, and applying contextual information
- Relationship Management: Relationship management: The top layer in the e-Business model. Relationship management allows e-businesses to tailor the content for the website to the customer needs through personalization,
profiling, 1:1 marketing and customer support.
- Enact: Enact: e-Businesses in the enact stage utilize the real time capabilities of the web including integrated ordering , real-time processing and supply chain integration.
- Transact: e-Businesses in the transact stage are beginning to tap into the potential of ecommerce. Transact sites allow order placement , payment processing and order management
- Interact: Interact: e-Businesses in the interact stage use the web in a slightly more interactive way than companies in the static stage. Customers can provide feedback and check on the pricing and availability of items
- Static: Simply looking at the web as an advertising medium for the brick and mortar stores. These sites have not interaction and generally consist of little more than a company's product information and FAQ's
The next six lessons will describe each stage and its representation in e-Business transformation.
The specific stage an organization finds itself in varies according to the goals and objectives of the e-Business.
Baby Boomers: 1946-1965
During 2016, DistributedNetworks conducted an international study on consumer behaviors and preferences related to online shopping. The research was largely based on an online survey of
18,947 consumers living in more than 49 countries. The respondents were between the ages of 17 and 67, each having purchased at least one consumer product online in the past 12 months. In addition to scrutinizing their online shopping behaviors, preferences, and decision processes, the study also
explored plans of consumers for future online purchases, factors affecting trust and loyalty towards certain brands, and their sentiments and attitudes towards
the companies that they do, or do not choose to buy from.
Generation X: Born 1966-1981
The ultimate purpose of this research was to provide consumer goods and retail companies with the global and local insights into the specific behaviors and preferences of the customers
they want to target. By understanding the uniqueness of different customer segments, companies can tailor their online strategies for maximum success. The depth of the data collected for this
study makes it possible for companies to analyze and forecast the behaviors and preferences of their customers by geography, generation (Millennials, Generation X or Baby Boomers) and product category.
Millennials Born: 1982-2001
The number of ways to filter and classify the data is
too copious to summarize in a single report, so in the following sections we provide an overview of the global results, highlighting the most significant or interesting trends and comparisons
among the major demographic groups and product categories. Executives interested in receiving more detailed insights are invited to contact KPMG to have a member of our team
filter and analyze the full set of data according to your specific requirements or target markets.