Innovations and Workplace

This study analyzes how to implement various innovations at the workplace and the impact of technology on business

Running head: INNOVATIONS AND WORKPLACE
Innovations and workplace
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How to apply various innovations at workplace:
The effect of technology at the workplace is incredible. It is seen that technology can change
the way conventional workplaces have been using at work. The business leaders are liable to keep
this up with the evolving pace effectively.
Nevertheless, it must be reminded that the business owners are unable to afford to make a
compromise with the security, profitability and productivity of the company. The following study
makes an analysis of how to implement various innovations at the workplace.
The Scope of E-Commerce:
The name of this game is strategic positioning. This indicates the ability of a business to find
out the emerging scopes and use the needed human capital skills. This is helpful to make the
opportunities with the help of e-business strategy that is effective. It can be made practicable and
workable under the context of worldwide information milieu and latest economic scenario. Having
the impact of levelling this field of the game, e-commerce is coupled with policy approaches. It
enables the medium and small scale enterprises in competing for with huge and capital-rich trading
(Chaffey, 2015). Again, on the other plane, the developing nations have been provided with rising
access to a worldwide marketplace. There, they are able to compete and then complement with a
more developed economy.
Business-to-Business or B-2-B E-Commerce:
Most of the B-2-B orders are put through a committee or team. This is rare to deal with one
decision maker while selling B2B. One comprises of various people requiring to approve the sale.
Here, one of the smartest methods to develop the changes to land the sale is through providing the
decision makers with relating materials required to make educated decisions (Sila, 2015). Having

2INNOVATIONS AND WORKPLACE
B2B, one can typically acquire the capability to develop various customer accounts under one
business. Thus, one needs to have a management account for reviewing the order prior it gets placed.
This must be with the account of purchasers for actually choosing the product from the store.
Decision Support Trends:
Various interrelated information technologies have been driving various scopes for the
systems of decision supports. This includes global positioning systems, different sensors of the field
measurements directly, various remote sensing, systems of data communications, GIS or Geographic
Information Systems and different personal computers. Moreover, the technologies can be used at
various modelling instances for developing the DSS at various levels. The first one is completion
between individual plans at uneven stands. Then, there is an analysis of yield at country-level. The
innovations and updates of decision support are driven by visualization tools, mobile computing,
hand-held and portals. Next, there is an object-oriented development tool, particularly Java. This has
been holding much promise to create latest model-driven DSS (Ureña et al., 2015). Apart from this,
the corporative and distributed DSS has been able to use that type of tools. Again, network
technologies are found to be mission-critical at various businesses.
Further, network and computing technologies have turned out to be more powerful and
integrated. Again, the capacity and speed of networks have been rising. Furthermore, the bandwidth
expansion has been supporting the interactive video and various real-time decision support at any
place in the world. Apart from this, open source software has been affecting various tools of DSS
development. Having access to source code that the programmers redistribute, read and change the
software, the advocates of the software has felt that it can evolve quicker. Here, for instance, Linux
has been turning to be a vital operating system for the Web Servers under corporations (Morente-
Molinera et al., 2015).

3INNOVATIONS AND WORKPLACE
Artificial Intelligence under Business Environments:
Through deploying suitable AI technology, the business has been gaining various abilities. It
helps in saving time and money by automating routine tasks and processes. It helps in raising the
productivity and efficiencies of operations (Dirican, 2015). It makes the business decisions quicker
based on the outputs from the cognitive technologies.
Further, one can avoid the “human error” and mistakes. Thus, one can make the smart system
to set up suitably. Apart from this, one can utilize for predicting customer preferences and offer
better and personalized experiences (Davenport & Ronanki, 2018). Again, AI can mine huge unity
of data for creating quality leads and rise the customer bases.
Most of the business has been relying on the above innovations. This extends from the e-mail
of staffs to e-commerce sites and database management. Then, there is the rise of organization-
specific technical assistance and expertise on the issue of technology accessibility. Next, the
technical staffs must be trained for the issues of accessibilities, promote the distinct principles for
making web-based employer measures accessible. Lastly, proactive efforts in eradicating barriers of
technology have been going far to decrease the likelihood. This claims IT discrimination and
accessibility to occur.

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References:
Chaffey, D. (2015). Digital business and e-commerce management. London: Pearson Education
Limited.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business
review, 96(1), 108-116.
Dirican, C. (2015). The impacts of robotics, artificial intelligence on business and economics.
Procedia-Social and Behavioral Sciences, 195, 564-573.
Kolbjørnsrud, V., Amico, R. and Thomas, R.J., 2016. How artificial intelligence will redefine
management. Harvard Business Review, 2.
Morente-Molinera, J. A., Pérez, I. J., Ureña, M. R., & Herrera-Viedma, E. (2015). On multi-granular
fuzzy linguistic modeling in group decision making problems: a systematic review and future
trends. Knowledge-Based Systems, 74, 49-60.
Sila, I. (2015). The state of empirical research on the adoption and diffusion of business-to-business
e-commerce. International Journal of Electronic Business, 12(3), 258-301.
Ureña, R., Chiclana, F., Morente-Molinera, J. A., & Herrera-Viedma, E. (2015). Managing
incomplete preference relations in decision making: a review and future trends. Information
Sciences, 302, 14-32.