scholarly journals Business Technology Trends + Lists + Awareness = Executive Optimization

2021 ◽  
Vol 23 (3) ◽  
pp. 107-109
Author(s):  
Stephen Andriole
2013 ◽  
Vol 579-580 ◽  
pp. 113-121
Author(s):  
Jin Xing Zheng ◽  
Zhao Gang ◽  
Yang Zhao

Collaboration, cloud computing have been identified as key business technology trends that will reshape enterprises worldwide. Cloud manufacturing (CM) - the manufacturing version of cloud computing can be implemented by various approaches. A part model based on processing behavior was developed and the definition, classification and data structure expressed by XML were presented. Processing behavior as trading service unit, can be requested or responded by designer clients or manufacturer clients on the trading service platform. Meanwhile, the data exchange protocol and trading mechanism were analyzed, and the workflow of the trading service platform was given. Finally, a case study of manufacturing trading service platform was demonstrated, which enable designers and manufacturing to make a deal, exploring the specific application of could manufacturing.


2011 ◽  
pp. 99-134 ◽  
Author(s):  
Stephen J. Andriole

Regardless of one’s investment perspective, it is essential to understand business technology trends. Some companies assign large teams to track business technology trends to make sure that they do not miss a potentially “disruptive” technology or a suite of technologies that might together revolutionize their industry. Venture capitalists obviously need to understand what is hot and what is not before spending their investors’ money. The vendors that create technology also need to understand the trends (that they sometimes actually create). In short, everyone needs a way to track business technology over time. In fact, business technology trends analysis is a necessary core competency for CIOs, vendors, VCs, and all technology investors. What everyone needs is a technology investment agenda that helps identify the business technologies in which they should invest more and those that should get little or none of their financial attention. The agenda ultimately must be practical: while “blue sky” research projects can be lots of fun (especially for those who conduct them), investors must find the technologies likely to yield the most return, not the coolest write-up in a technical trade publication. But this can be challenging especially when there is so much technology to track—and relatively little certainty about what business models and processes will look like in three to 5 years. Regardless of where investors sit, business models and processes are the lighthouses to cost-effective technology investments. It is imperative that we develop an understanding of where we expect business models and processes to be in 2 or 3 years so that we can begin a meaningful technology migration. Important here are answers to the big questions about connectivity, supply chains, the percentageof e-business we will be conducting, how we expect to configure and manage our infrastructure, and what enterprise applications we expect to deploy and support. We also need to make some fundamental decisions about technology platforms and, especially, how we plan to acquire technology products and services—that is, whether we expect to acquire and deploy with internal technology professionals or whether we expect to outsource the lion’s share of our technology efforts. The articulation of “to be” business models and processes provides the necessary insight to these questions. Without that insight, we will likely just extrapolate from where we are today—and quite possibly miss some major business technology shifts that might enable whole new business models and processes. Vendors need to understand where business models and processes are going as well in order to align their R&D investments with future requirements. VCs need to track all of this but must also try to create (with vendors) new trends that can be “sold” to companies searching for better, faster, and cheaper ways of doing things—without going so far as to be accused of selling “solutions-in-search-ofproblems.” In short, everyone who makes, buys, sells, and services technology needs to understand business models and processes—today, 3 years out and, if possible, 5 to 7 years out. This chapter introduces the idea of technology trends analysis as an important component of due diligence. It is essential for all investors to remain aware of technology’s trajectories—and assess their investment opportunities (and risks) accordingly.


Author(s):  
Tiegang Zang ◽  
Yongkui Liu ◽  
Xun Xu

The emerging business technology trends such as cloud, Internet of Things, and the new requirements and challenges of future development of manufacturing industry such as green manufacturing and knowledge innovations, have together given rise to a novel cloud-based service-oriented manufacturing business model — cloud manufacturing. Since its inception, cloud manufacturing has attracted much attention of researchers from both academia and industry. As a nascent concept aiming to achieve comprehensive and full resource sharing and e-business collaboration, the success of cloud manufacturing depends heavily on the support and participation of industrial enterprises. However, so far there have been few reports on the status of cloud manufacturing among industrial enterprises. In order to understand the situation of cloud manufacturing in industry, we conducted a survey with respect to its acceptability and application prospect among enterprises located in Jiangsu province, China. This paper presents the results of the survey and some analysis.


Sign in / Sign up

Export Citation Format

Share Document