The development of internet software and features has evolved past the improved collaborative capacities of Web 2.0 to new heights in what has been referred to as Web 3.0, although it may not necessary be more strategic to integrate into organizational operational processes yet. Web 3.0 has been referred to as the “semantic web,” and the fundamental premise is to ensure that all online information is readable by machines. Beyond this concept of machine readability, Web 3.0 extends a range of fundamental technological capacities beyond the 2.0 more commonly used in the areas of AI, 3D graphics, and connectivity. It may be more strategic to use as organizational integration and use models are continually developed. These new extensions have major implications for competitive advantage and general business capacity.
The feature expansions beyond those developed in Web 2.0 have been substantial enough to alter general internet trends of users, which has implications for business operational aspects and marketing. The “semantic web” concept had been conceived over five years prior, and was discussed among experts and analysts as an evolution of the technology towards organic brain emulations. The goal has been to create a planetary informational brain of sorts, and with the extent that AI technology has evolved in more recent years, a rough working model has been successfully applied. Businesses and consumers now therefore have access to this as they address demands in such a manner.
The development of such an information system structure has involved the establishment of taxonomies and decentralized information that is more transparent. As Web 2.0 was centralized, the shift affects organizational involvement, facilitating rightful data ownership in users. Peer-to-peer communications in Web 3.0 are further improved beyond the general extension of collaboration features to include more control capacity of data ownership and time resources.
Web 3.0’s structure also includes a blockchain protocol that allows people to avoid past centralizational controls, which were commonly regarded as being to exploiting and unjust. This model has evolved substantially since its conception, and is expected to be developed further into more valuable models. This fundamental element is commonly regarded as one of its primary but not leading comparative advantages.
There are still some disadvantages and issues in optimizing use, as current business models and processes that have evolved from inferior Web 1.0 and 2.0 technologies have yet to find comparably effective business models in Web 3.0. Although there are clear advantages that have high potential to justify use and developments involved in the technology, investing in the development of an organizational or major business model may be regarded as not optimal or currently still pending investment demands from stakeholders. Naturally, specific organizational objectives in comparison to current operations are relevant. Meanwhile, some aspects may require adaptation in operations with other organizations or technology, and competitive advantage may be an issue as organizations increasingly adapt their models.
Generally, “semantic web” evolution is an improvement of connectivity that shares traits present in the general concept of IoT. The extent of technological combinations and models is comparable, and Web 3.0 feature improvements beyond this encompass AI, 3D graphic, and connectivity improvements that easily make it more strategic to use. Developing models that optimize this generally and specific to different industry and organizational types now continues as the technology is increasingly integrated.