Emerging technologies from AI to quantum computing and genetic engineering have launched a Fourth Industrial Revolution an era, accelerated by COVID-19, that is transforming the workplace. Through in-depth analyses of 1.3 million job advertisements from 2014 through 2020, a research team from the London School of Economics and Citi Global Data Insights reveal which work […]
Read More… from As Technology Upends Jobs, Which Skills Pay More?
Because of new communications technologies, including a proliferation of video-conferencing options over the Internet, many have declared the “death of distance.” Geographical separation of even thousands of miles is no longer a barrier to close collaboration. Collaborators can work together on projects with the same ease and effectiveness whether they are physically located on different […]
The evolving sophistication and scope of automation and AI technology will impact the jobs of individuals at all levels of the organization. For middle managers, automation can threaten to render their jobs obsolete, leading to redundancy and the thinning of middle management ranks. From a more positive perspective, automation can free up middle managers from […]
Read More… from How to Turn Automation into an Opportunity for Middle Managers
More than half of American professionals use artificial intelligence (AI) in their jobs, according to research from Washington State University’s Carson College of Business. The research was based on a survey of 1200 full-time professionals from throughout the United States. While 56% of professionals said they used AI in their jobs, that still left a […]
Read More… from Companies Need to Better Prepare Their People for AI
To what extent are we as humans ready to accept decisions made by computers? This was the question at the heart of a study from Michigan State University and Drexel University researchers that examined algorithmic decision-making (ADM) in the context of a job search. ADM, in which machines make predictions, recommendations, and decisions related to […]
Read More… from Algorithmic Decision Making Preferred Over Human Deciders
While new technology is intended to make work more efficient and effective, it often helps the professionals in a company while increasing the workload and decreasing the autonomy of assistants and other administrative-level or lower-level employees. Finding solutions to address workload issues related to new technology is hampered by three challenges: MIT’s Katherine Kellogg studied […]
Read More… from Resolve Workload Conflicts When Integrating New Technology
Artificial Intelligence is both appreciated and feared: appreciated for the benefits it offers in terms of speed, accuracy and consistency; feared because many believe those benefits can render many human employees obsolete—a fear summarized in the familiar phrase, “Machines will take our jobs.” Studies show that such fears, leading to employee resistance and suspicion, will […]
Read More… from Onboarding AI to Gain Employee Trust and Acceptance
We expect start-ups and high technology companies in general to be innovators. We know, in contrast, that large incumbents are likely to want to continue to exploit their past innovations rather than venture into new innovations that may cannibalize current products and/or ultimately fail. How do family businesses fit into the innovation picture? A study […]
Read More… from Family Firms Innovate Less But Better: Their Boards Make a Difference
More than a billion people live in poverty around the world, earning less than $2 a day. A billion people may be a huge market in terms of numbers but they don’t have the disposable income that can turn them into traditional customers. However, C.K. Prahalad and other pioneer academics and entrepreneurs recognized the potential […]
Read More… from Business Templates that Succeed in ‘Bottom of the Pyramid’ Environments
Companies in technologically dynamic industries — industries in which competitive advantage is built on innovation and R&D breakthroughs — seek out different types of partner firms than companies in technologically stable industries. This difference in collaborative behaviour results in different types of industry-wide networks: technologically dynamic industries have ‘clan’ networks that feature separate groups of […]
