In a competitive market, Systems Owners face
the challenge of workforce rationalization. To address this, they can employ
advanced randomized competitive algorithms, going beyond traditional Global
Variables. The primary goals are to reduce costs while enhancing efficiency and
effectiveness to stay competitive.
System Elements, such as Biological Systems
(employees), are expected to take on greater responsibility and engage in more
collaborative roles. Therefore, employees try to maximize productivity, and
work schedules may extend from 8 hours to 12 hours per day without additional
compensation. However, these extended work demands require heightened
Hyper-awareness, which involves intense focus on assignments and increased
supervisory control.
This level of Hyper-awareness extends beyond
working hours, requiring individuals to remain highly attentive during their
spare time. As a result, it can negatively impact self-awareness and overall
well-being, altering daily routines and leading to significant health concerns
for Biological Systems.
Observation:
Addressing Workforce Rationalization with
Appreciative Algorithms
Biological Systems (employees) have been
subject to layoffs, leading to critical health conditions and increased strain.
Choosing flawed parameters during workforce rationalization can introduce
complexity into System Platforms, making operations more challenging.
Systems Owners should instead adopt Competitive
Appreciative Algorithms that go beyond traditional Global Variables. These
Appreciative Algorithms encompass various adaptive and attractive designs,
striking a balance between flexibility and usability, providing accessible
tools for end-users, and integrating feasible mechanisms with reliable
technology. Additionally, these algorithms should align with realistic and
compatible brand pricing to ensure sustainability and competitiveness in the
market.
