Mastering Cognitive Efficiency: The Ultimate Guide to Process Optimization in Mental Operations Management

This article explores Process Optimization, a stage within the Mental Operations Management (MOM) framework , by analyzing and adapting nearly 20 business strategies to improve cognitive and operational efficiency.

These strategies, including Lean Thinking, Six Sigma, and Total Quality Management, are repurposed for mental optimization, providing structured, actionable insights for enhancing adaptability, resilience, and productivity.

Chapter 1: Introduction

Definition of Process Optimization

Process optimization refers to systematically improving efficiency, accuracy, and resource allocation in processes to achieve peak performance.

In a business context, it’s aimed at reducing costs, increasing output, and eliminating waste, often through structured, step-by-step methods.

Applied to mental functions, process optimization involves refining mental operations —such as decision-making, memory retrieval, and attention management — to make them more efficient and adaptive, especially under varying demands or pressures.

The concept has gained attention as mental demands in modern environments increase, pushing researchers and professionals alike to explore how structured frameworks, initially designed for business and computing, can also be applied to cognitive development.

These frameworks support Mental Operations Management (MOM), allowing us to systematically assess and enhance cognitive processes for mental clarity, resilience, and productivity.

Roots in Business Operations Management

Process optimization has deep roots in Operations Management (OM), a discipline studied extensively in business schools worldwide (Deming, 1986).

OM explores ways to streamline business processes, enhance output, and maximize resource allocation across production, supply chain management, and service delivery.

Scholars like Deming (1986) and Womack and Jones (1996) introduced strategies for eliminating inefficiencies and continuously improving processes, establishing principles like Lean Thinking and Total Quality Management (TQM) that have become standards in industries globally.

Applied to cognitive functions, OM offers a systematic and measurable approach to refining mental processes, allowing us to tackle inefficiencies and optimize the use of cognitive resources. By adapting these frameworks, MOM seeks to maximize mental performance and manage resources like mental energy, attention, and memory.

Influence of Computer Science and the In-Transformation-Out Model

Computer science brings another critical perspective to process optimization, particularly through the input-transformation-output (ITO) model.

This model, essential in computing, represents how computers receive input, process or transform this data, and generate output—a process that mirrors many cognitive operations. In software, the ITO model ensures that data flows effectively, producing reliable, repeatable outcomes (Kahneman, 1973; Simon, 1982).

Applying the ITO model to cognitive processes, our brain receives inputs (such as sensory data or internal thoughts), transforms them through processing stages (involving memory retrieval, reasoning, and emotional regulation), and produces outputs (actions, decisions, or emotional responses).

Recognizing these stages allows us to optimize each, improving decision speed, memory recall, and adaptability.

Scientific Theories Supporting Process Optimization in Mental Operations

Several scientific theories provide evidence for the applicability of process optimization to cognitive functions. Key psychological frameworks, such as Cognitive Load Theory (Sweller, 1988), explain how mental resources are allocated to balance information demands, prevent overload, and ensure effective processing.

Similarly, Neuro-Linguistic Programming (NLP) by Bandler and Grinder (1979) examines how replicating successful thought patterns can streamline mental processes, enhancing decision-making and problem-solving efficiency.

Other influential theories include Cognitive Behavioral Therapy (CBT) (Beck, 1976), which focuses on identifying and modifying inefficient mental routines to improve clarity, and Transactional Analysis (Berne, 1964), which explores how communication within different mental states can enhance decision-making and reduce errors.

Together, these frameworks emphasize refining mental operations, making cognitive processes more efficient, adaptable, and resilient.

Through structured frameworks, MOM and the SPARK principles aim to harness insights from both business operations and cognitive science, translating these strategies into actionable steps for mental optimization.

This systematic approach offers a roadmap for transforming cognitive routines, enhancing focus, reducing cognitive fatigue, and fostering continuous mental growth.

Chapter 2: Business and Computing Roots of Process Optimization

Business: Operations Management as a Foundation for Process Optimization

Operations Management (OM) is a discipline essential to business strategy, focusing on creating efficiency across production, service delivery, and resource allocation. Widely studied in business and management programs, OM teaches students and professionals how to streamline processes, reduce costs, and maximize output—a practice that is both actionable and measurable (Deming, 1986; Womack & Jones, 1996).

The principles of OM are widely applicable, helping companies develop leaner, faster processes by identifying waste and optimizing workflows. For example, strategies like Lean Thinking (Womack & Jones, 1996) reduce non-essential steps, while Total Quality Management (TQM) (Deming, 1986) emphasizes continuous improvement through systematic monitoring. In recent decades, OM has expanded into areas like Six Sigma (Pande et al., 2000), which uses statistical methods to reduce process variability and error rates.

Applying Operations Management to Cognitive Functions

When adapted to cognitive operations, OM strategies provide a blueprint for managing mental resources effectively. By treating cognitive tasks as processes to be streamlined, individuals can eliminate unnecessary mental steps, reduce errors, and enhance focus.

Lean Thinking

Lean Thinking is a method focused on reducing waste and eliminating non-value-adding activities, maximizing productivity by streamlining processes.

Originating in Toyota's manufacturing systems, Lean Thinking aims to create efficiency by focusing only on tasks that provide real value (Womack & Jones, 1996). Studies show that lean methods can improve productivity by as much as 25-50% in various industries (Shah & Ward, 2003).

The primary effect of Lean Thinking is a more efficient workflow that reduces costs, minimizes errors, and enhances responsiveness to demand. This approach enables businesses to produce more with less, optimizing both resource use and time.

Example of Application in Business

In a manufacturing context, Toyota implemented Lean Thinking through practices such as just-in-time production, which ensures that materials arrive only as needed, reducing stockpiling and storage costs (Liker, 2004). By focusing on continuous improvement, Toyota eliminated wasted time and resources in each production stage, achieving faster production cycles and reducing excess inventory. This led to significant cost savings and a competitive edge in the automotive industry, where time and resource efficiency are critical.

Example of Application in MOM

In Mental Operations Management, Lean Thinking can be applied by identifying and eliminating non-essential cognitive steps. For example, in daily task prioritization, individuals can focus on high-impact activities while minimizing attention given to low-priority tasks. This can be achieved by using simple prioritization techniques or digital tools to manage tasks more effectively. Research in cognitive psychology indicates that reducing task-switching and unnecessary decisions can improve mental focus and reduce cognitive fatigue (Monsell, 2003). As a result, Lean Thinking applied to mental operations allows individuals to conserve mental energy and achieve higher productivity without overburdening their cognitive resources.

Total Quality Management (TQM)

Total Quality Management (TQM) is a holistic approach to continuous improvement that prioritizes quality in every stage of a process. Rooted in W. Edwards Deming’s work, TQM involves every team member in the pursuit of error-free output by promoting high standards and reducing variability (Deming, 1986). The effectiveness of TQM is well-documented: studies have shown that TQM implementation can increase productivity by up to 40% in manufacturing and service sectors, reducing waste and enhancing overall product quality (Hendricks & Singhal, 1997). Effects of TQM include enhanced product reliability, customer satisfaction, and significant reductions in error rates, making it a powerful tool for maintaining consistent performance across industries.

Example of Application in Business

In the automotive industry, companies like Ford adopted TQM principles to enhance quality in their production lines. By involving each employee in quality assessments and empowering them to suggest improvements, Ford reduced defects and ensured product reliability. They implemented statistical quality control measures, which allowed them to continuously monitor and adjust their processes. This shift improved product quality and customer satisfaction, establishing Ford as a more reliable brand in the competitive auto market.

Example of Application in MOM

Within Mental Operations Management, TQM can be applied by implementing feedback loops to assess and improve cognitive tasks regularly. For example, an individual may review and refine their task management approach by tracking daily productivity and assessing what mental techniques worked best. By incorporating self-assessment and small adjustments, one can maintain consistent mental performance and adaptability. Studies indicate that continuous feedback loops in cognitive tasks can enhance focus and learning retention by up to 30% (Ericsson & Lehmann, 1996). Applying TQM principles in mental processes cultivates a mindset of continuous improvement, ultimately leading to more effective decision-making and emotional resilience.

Six Sigma

Six Sigma is a data-driven approach that aims to achieve near perfection by reducing variability and eliminating defects in processes. Developed by Motorola in the 1980s, Six Sigma uses statistical analysis to identify errors, improve quality, and increase efficiency. A core goal of Six Sigma is to reach a level where there are only 3.4 defects per million opportunities (Pande et al., 2000). The effectiveness of Six Sigma has been widely validated; it has been shown to reduce operational costs by 15-20% on average in industries that have implemented it successfully (Hahn et al., 2000). The approach’s main effects are increased precision, reduced waste, and significant improvements in product or service quality, making it a sought-after methodology for high-stakes industries.

Example of Application in Business

In healthcare, where accuracy is critical, hospitals apply Six Sigma to minimize medical errors and streamline patient care processes. For example, in medication administration, Six Sigma tools like DMAIC (Define, Measure, Analyze, Improve, Control) are used to identify errors, optimize workflows, and standardize procedures. One hospital reduced medication errors by 50% through Six Sigma methods, demonstrating the power of this approach in settings where precision is essential (Chassin, 1998).

Example of Application in MOM

In Mental Operations Management, Six Sigma can be applied by using structured techniques to minimize cognitive biases and mental errors. For instance, when making decisions under pressure, individuals can apply DMAIC to define the problem clearly, measure cognitive biases (such as confirmation bias), and analyze the decision-making process for sources of error. Research on cognitive biases shows that structured frameworks can significantly reduce errors in high-stakes decisions, with studies indicating an improvement in decision accuracy by up to 25% when bias-mitigation strategies are applied (Tversky & Kahneman, 1974). By integrating Six Sigma’s structured approach into mental processes, individuals can make clearer, more objective decisions with reduced risk of error.

Just-in-Time (JIT)

Just-in-Time (JIT) is an inventory management strategy focused on delivering resources only as needed, minimizing waste and storage costs by maintaining minimal inventory. Developed as part of the Toyota Production System, JIT ensures that materials arrive precisely when required, reducing excess stock and promoting a smoother workflow. Empirical data shows that JIT can reduce operational costs by 15-30% in production settings and improve responsiveness to demand changes (Liker, 2004). The effects of JIT include improved efficiency, reduced waste, and enhanced flexibility, particularly beneficial in industries with variable demand and high storage costs.

Example of Application in Business

In retail, companies like Zara use JIT to manage inventory, responding to fashion trends by producing and delivering stock as demand shifts. This approach enables Zara to avoid overstocking, which is common in fast fashion, and quickly adjust to new consumer trends. By using JIT, Zara has achieved remarkable agility in its supply chain, reducing markdowns and inventory waste while maintaining high profitability. This efficiency allows the brand to bring new styles to market within weeks, giving them a competitive advantage.

Example of Application in MOM

In Mental Operations Management, JIT principles can help individuals allocate mental resources only when necessary, reducing cognitive overload. For example, instead of trying to handle multiple tasks simultaneously, a person can focus attention on each task at the precise time it requires mental resources. By timing cognitive efforts strategically, JIT allows for better mental clarity and reduced fatigue. Research in task management shows that attention, when allocated effectively, improves task efficiency by up to 25% (Monsell, 2003). Applying JIT in mental processes can also prevent decision fatigue, keeping mental energy focused on high-priority tasks without wasting resources on less critical activities.

Kaizen (Continuous Improvement)

Kaizen is a Japanese term meaning "continuous improvement" and emphasizes the power of small, consistent changes over time to enhance efficiency and quality. Rooted in Japanese business practices, Kaizen focuses on making minor adjustments to processes regularly, aiming for long-term productivity gains without requiring significant overhauls. Empirical evidence indicates that Kaizen can improve workplace productivity by up to 30% and foster an organizational culture of ongoing learning and adaptation (Imai, 1986). The effects of Kaizen include sustained quality improvement, employee engagement, and adaptability, as teams regularly reassess and refine their practices.

Example of Application in Business

In manufacturing, Kaizen is widely used to encourage every employee to suggest incremental changes to improve efficiency and quality. At Toyota, assembly line workers are encouraged to propose small adjustments that enhance workflows. These suggestions are reviewed, tested, and, if effective, implemented, resulting in reduced waste and consistent quality improvement. By focusing on continuous improvement, Toyota has maintained high standards of efficiency and product quality, keeping them competitive in a demanding market.

Example of Application in MOM

In Mental Operations Management, Kaizen can be applied by making small, regular adjustments to cognitive routines. For instance, an individual might track their daily productivity and introduce minor changes—such as altering their work environment or adjusting time management techniques—to improve focus. Research on cognitive routines shows that frequent minor adjustments, rather than major changes, can significantly enhance mental resilience and adaptability, with productivity gains of up to 15-20% over time (Duckworth & Gross, 2014). Using Kaizen in mental processes encourages continuous mental refinement, making it easier to adapt to changing demands without major disruptions.

Root Cause Analysis (RCA)

Root Cause Analysis (RCA) is a problem-solving method used to identify the underlying cause of issues rather than simply treating symptoms. RCA operates on the belief that addressing the root cause of a problem prevents it from recurring, promoting long-term solutions over temporary fixes. Studies indicate that RCA reduces recurring issues in business settings by up to 60% when effectively implemented (Wilson et al., 1993). The effects of RCA are long-lasting improvements in quality, productivity, and cost savings, as it minimizes time and resources spent on resolving the same issues repeatedly.

Example of Application in Business

In manufacturing, RCA is often used to identify the cause of equipment failures or product defects. For example, in the automotive industry, Ford has applied RCA to analyze and resolve recurring defects in production. By conducting RCA on assembly line issues, they identified specific machinery faults that contributed to defects and made targeted repairs and improvements. This approach reduced warranty claims and improved overall product reliability, contributing to higher customer satisfaction and reduced production costs.

Example of Application in MOM

In Mental Operations Management, RCA can be used to identify cognitive biases or habits that negatively impact decision-making. For instance, if a person consistently feels mentally exhausted in the afternoon, they can apply RCA to examine contributing factors such as lack of breaks, hydration, or task load. Research in cognitive psychology shows that identifying and addressing root causes of cognitive strain can reduce mental fatigue and improve productivity by up to 20% (Kahneman & Tversky, 1974). By applying RCA to mental processes, individuals can gain clarity on cognitive habits and make precise adjustments, leading to sustained improvements in focus and decision-making.

Capacity Planning

Capacity Planning involves determining the maximum amount of work a system can handle without exceeding its limitations. In business, it ensures that resources—such as labor, equipment, and materials—are aligned with demand, preventing bottlenecks and minimizing downtime. Empirical studies have shown that effective capacity planning can increase productivity by up to 20-30% in manufacturing and service industries by balancing workloads and avoiding resource exhaustion (Slack et al., 2007). The main effects of capacity planning include optimized resource use, reduced delays, and improved response times, making it an essential strategy for organizations that operate under variable demand conditions.

Example of Application in Business

In call centers, where workload fluctuates throughout the day, capacity planning is crucial for managing peak demand periods. For instance, a bank’s customer support center may analyze call volume trends to predict busy times and adjust staff schedules accordingly. By planning capacity around forecasted demand, they can ensure there are enough agents to handle peak call volumes without long wait times, improving customer satisfaction and employee efficiency.

Example of Application in MOM

In Mental Operations Management, capacity planning helps manage cognitive workload to prevent mental fatigue. For example, an individual might plan their day to tackle demanding tasks, like analysis or decision-making, during peak mental energy hours (typically morning) and reserve less demanding activities for later. Studies in cognitive workload show that managing tasks based on mental capacity can improve focus and productivity by up to 25% (Gailliot & Baumeister, 2007). By planning cognitive capacity effectively, individuals can prevent burnout, maintain higher mental energy, and enhance sustained focus throughout the day.

Predictive Maintenance

Predictive Maintenance is a proactive strategy that uses data to forecast and prevent system failures before they occur. By monitoring equipment conditions and analyzing trends, predictive maintenance allows organizations to address issues early, reducing costly downtime and improving reliability. Research shows that predictive maintenance can reduce equipment failures by up to 45% and lower maintenance costs by 20-25% compared to reactive maintenance (Mobley, 2002). The main effects include increased system longevity, minimized unexpected breakdowns, and significant cost savings, which are especially valuable in industries that rely on continuous, uninterrupted operations.

Example of Application in Business

In the aviation industry, predictive maintenance is used extensively to prevent unexpected aircraft malfunctions. For example, Delta Airlines monitors engine performance data to predict potential issues, enabling them to address maintenance needs before flights. This approach not only minimizes flight delays but also reduces repair costs and ensures passenger safety. Predictive maintenance has allowed Delta to increase fleet reliability, maintaining a high level of operational efficiency and customer satisfaction.

Example of Application in MOM

In Mental Operations Management, predictive maintenance can be applied by monitoring signs of mental fatigue and implementing proactive strategies to maintain cognitive function. For example, if someone notices that they start to lose focus after two hours of concentrated work, they might schedule regular breaks to prevent burnout. Studies in cognitive psychology suggest that proactive breaks can increase overall productivity and decrease error rates by up to 20% (Boksem & Tops, 2008). By recognizing early signs of mental fatigue and taking preventive steps, individuals can maintain higher cognitive performance, reduce stress, and improve mental resilience over time.

Agile Methodology

Agile Methodology is an iterative project management approach that prioritizes flexibility, collaboration, and responsiveness to change. Originally developed in software development, Agile emphasizes breaking down projects into manageable segments called “sprints,” allowing teams to adapt and adjust as requirements evolve. Studies show that Agile can reduce project timelines by 20-30% while increasing team productivity and customer satisfaction by facilitating continuous feedback and improvement (Serrador & Pinto, 2015). The effect of Agile is a dynamic workflow that fosters adaptability, rapid problem-solving, and higher quality outcomes, especially valuable in fast-paced environments.

Example of Application in Business

In software development, Agile methodology is widely adopted for its ability to deliver timely, high-quality products. Spotify, for instance, uses Agile to manage product updates, enabling small teams to develop, test, and release new features independently. By operating in short sprints, Spotify can implement user feedback rapidly, keeping their platform aligned with customer needs and industry trends. Agile's iterative approach has allowed Spotify to remain a market leader, with frequent updates and high user satisfaction.

Example of Application in MOM

In Mental Operations Management, Agile can be applied by adopting a flexible, iterative approach to self-improvement and learning goals. For example, an individual might set short-term cognitive improvement goals—like improving focus or memory—over a two-week “sprint.” After the sprint, they can assess progress, incorporate feedback (self-reflection or journaling), and set new objectives. Research on goal setting supports this approach, showing that breaking down large goals into smaller, manageable tasks can increase completion rates by 20-25% (Locke & Latham, 2002). Applying Agile in mental processes helps individuals adapt to changing needs, stay motivated, and continuously improve cognitive skills.

Theory of Constraints (TOC)

Theory of Constraints (TOC) is a management philosophy that focuses on identifying and addressing the most limiting factor—or constraint—within a process to improve overall performance. Developed by Eliyahu Goldratt, TOC asserts that every system has at least one constraint that restricts its ability to reach maximum potential. By identifying and systematically improving or eliminating this constraint, businesses can achieve significant gains in efficiency and productivity. Research shows that applying TOC can increase productivity by up to 15-30%, as it addresses core bottlenecks rather than peripheral issues (Goldratt, 1984). The primary effects of TOC are improved workflow, reduced delays, and optimal use of resources.

Example of Application in Business

In manufacturing, TOC is often used to optimize production lines. For example, General Electric (GE) applied TOC to its aviation manufacturing facilities by identifying bottlenecks in the assembly process. By focusing on these specific constraints, GE streamlined production, reducing assembly time and improving output. This approach not only enhanced efficiency but also minimized costs by ensuring resources were allocated precisely where they were needed most.

Example of Application in MOM

In Mental Operations Management, TOC can be applied by identifying and addressing specific cognitive bottlenecks that impede overall mental performance. For instance, if frequent task-switching is the primary constraint reducing productivity, a person might prioritize tasks and limit interruptions to maintain focus. Studies in cognitive science suggest that reducing task-switching can enhance productivity by up to 40% by minimizing time lost in reorienting attention (Monsell, 2003). Applying TOC to mental processes enables individuals to identify and address key constraints, leading to more efficient cognitive workflows and better focus.

Standardization

Standardization is a process management approach that aims to create consistent methods for completing tasks, reducing variability and errors across operations. In business, standardization ensures that processes follow a set procedure, allowing for predictable outcomes and streamlined training. Empirical studies indicate that standardization can improve operational efficiency by up to 20-25% by reducing the need for rework and minimizing time spent on training (Womack & Jones, 1996). The primary effects of standardization include reduced error rates, increased speed, and improved quality control, making it particularly valuable in industries where consistency is key.

Example of Application in Business

In manufacturing, companies like McDonald's rely on standardization to ensure consistency across locations globally. By setting specific guidelines for food preparation, cooking times, and customer service, McDonald’s ensures that customers receive a similar experience regardless of location. This approach reduces training times, enhances efficiency, and maintains high product quality. Standardization has been crucial in establishing McDonald's reputation for reliability, contributing to its global success.

Example of Application in MOM

In Mental Operations Management, standardization can be applied by developing consistent cognitive routines for frequently performed tasks. For example, a person might use a standardized approach for organizing information or prioritizing tasks each day. Research on cognitive routines shows that having standardized methods reduces decision fatigue and improves speed by up to 15-20% (Baumeister & Tierney, 2011). By establishing standard mental routines, individuals can reduce variability in their cognitive processes, allowing for faster and more efficient task completion with less mental effort.

Business Process Reengineering (BPR)

Business Process Reengineering (BPR) is a management strategy that focuses on fundamentally restructuring workflows to achieve significant improvements in productivity, quality, and cost-effectiveness. Unlike incremental changes, BPR involves reevaluating and redesigning processes from the ground up to eliminate inefficiencies. Studies on BPR reveal that it can increase efficiency by 30-50% in various industries by eliminating redundant tasks and rethinking outdated procedures (Hammer & Champy, 1993). The effects of BPR include dramatic reductions in cycle time, cost savings, and enhanced adaptability, making it ideal for organizations looking to make impactful changes.

Example of Application in Business

In the banking sector, Citibank applied BPR to overhaul its loan approval process. By redesigning the workflow and implementing digital tools to speed up document verification and decision-making, Citibank reduced the average loan processing time from weeks to a few days. This transformation improved customer satisfaction and allowed the bank to compete more effectively with faster, tech-driven financial service providers.

Example of Application in MOM

In Mental Operations Management, BPR can be applied by restructuring cognitive routines for enhanced mental efficiency. For instance, an individual might completely reevaluate their time management approach by switching from multitasking to a focused, single-tasking approach. Cognitive science research supports this shift, with studies indicating that single-tasking improves productivity by 20-40% by reducing the cognitive load associated with task-switching (Rubinstein et al., 2001). By reengineering cognitive routines, individuals can eliminate inefficient habits, making mental processes smoother and more effective.

Value Stream Mapping (VSM)

Value Stream Mapping (VSM) is a visual tool used to identify every step within a process, focusing on distinguishing value-adding activities from non-value-adding ones. By visually mapping a process, VSM enables organizations to pinpoint and eliminate inefficiencies, resulting in streamlined workflows. Studies indicate that VSM can reduce lead times and operational costs by up to 15-20% by highlighting redundant steps and wasted resources (Rother & Shook, 1998). The primary effects of VSM include enhanced process transparency, reduced waste, and improved efficiency, making it particularly valuable in complex workflows where identifying inefficiencies manually would be challenging.

Example of Application in Business

In manufacturing, VSM is widely used to optimize production lines. Toyota, for instance, applies VSM to analyze and refine each stage of its assembly process, from parts delivery to final assembly. By mapping out the entire value stream, Toyota identifies and eliminates steps that don’t add value, such as unnecessary material handling. This approach has helped Toyota reduce production time and costs, maintaining its reputation for lean, efficient manufacturing.

Example of Application in MOM

In Mental Operations Management, VSM can help individuals visualize their cognitive routines to identify unnecessary mental steps. For example, a person might map out their morning routine, analyzing each activity from start to finish, to find ways to improve focus and efficiency. Research in cognitive psychology shows that visually structuring routines can reduce mental effort and decision fatigue by up to 15% by creating clear and efficient workflows (Atkinson & Shiffrin, 1968). Using VSM in mental processes allows individuals to simplify routines, conserve cognitive energy, and approach tasks with a clearer, more streamlined mindset.

Kanban

Kanban is a visual workflow management tool that uses cards or boards to represent tasks at different stages of completion, providing real-time visibility into the progress of work. Originally developed within Toyota’s manufacturing system, Kanban helps teams balance workload and avoid bottlenecks by signaling when resources are needed. Research on Kanban shows it can improve productivity by up to 25-30% in both manufacturing and knowledge work by enhancing task transparency and limiting work-in-progress (WIP) (Anderson, 2010). The primary effects of Kanban include increased efficiency, reduced delays, and better prioritization of tasks, making it an effective tool for managing both team and individual workflows.

Example of Application in Business

In software development, companies like Microsoft use Kanban to manage project workflows and ensure timely delivery. By visualizing tasks on a Kanban board, each team member can see what stage their work is in—such as "To Do," "In Progress," or "Completed"—and can prioritize accordingly. This visibility helps Microsoft teams identify bottlenecks and allocate resources efficiently, ensuring smoother project execution and faster release cycles. The Kanban method has enabled Microsoft to maintain flexibility while keeping project timelines on track.

Example of Application in MOM

In Mental Operations Management, Kanban can be used to organize daily tasks visually, helping individuals prioritize and manage their cognitive workload. For example, a person might create a personal Kanban board with columns like “Today,” “In Progress,” and “Completed” to track their daily goals. Studies in productivity psychology suggest that visualizing tasks in this way can reduce mental clutter and improve task completion rates by 20-25% by providing a clear structure and limiting multitasking (Teixeira et al., 2019). By applying Kanban principles to cognitive tasks, individuals can improve focus, manage workload effectively, and achieve a greater sense of progress.

Balanced Scorecard

The Balanced Scorecard is a strategic management tool that measures an organization’s performance from multiple perspectives, typically including financial, customer, internal processes, and learning and growth. Developed by Kaplan and Norton, it provides a comprehensive view of an organization’s health by aligning performance metrics with long-term goals (Kaplan & Norton, 1992). Studies have shown that companies using a balanced scorecard approach can increase strategic alignment and improve overall performance by up to 20-30% (De Geuser et al., 2009). The effect of a Balanced Scorecard is a well-rounded assessment of strengths and areas for improvement, ensuring that efforts across departments align with organizational objectives.

Example of Application in Business

In financial services, companies like Wells Fargo use a Balanced Scorecard to measure performance across multiple dimensions, such as customer satisfaction, risk management, and employee development. By tracking and reporting on these key areas, Wells Fargo ensures that all departments work toward unified goals. This approach helps the bank balance profitability with customer service and regulatory compliance, creating a sustainable business model.

Example of Application in MOM

In Mental Operations Management, a Balanced Scorecard can help individuals assess and improve key cognitive areas such as memory, attention, emotional regulation, and adaptability. For example, an individual might set personal benchmarks for focus and memory retention, tracking progress in these areas over time. Research in cognitive performance indicates that using a structured framework for self-assessment can improve mental resilience and productivity by 15-20% (Ericsson & Pool, 2016). Applying a Balanced Scorecard approach to mental tasks allows individuals to monitor their cognitive health comprehensively, enabling targeted improvements in various mental domains.

Mass Customization

Mass Customization is a production strategy that combines the efficiency of mass production with the personalization of custom products, allowing companies to create tailored products at scale. By using flexible manufacturing systems, mass customization enables firms to meet individual customer needs without sacrificing speed or affordability. Research has shown that companies using mass customization can improve customer satisfaction and brand loyalty by 20-30%, as clients feel more valued when they receive personalized products (Pine, 1993). The primary effect of mass customization is a more adaptable production process, balancing uniformity and personalization to meet diverse market demands.

Example of Application in Business

In consumer electronics, Dell employs mass customization by allowing customers to configure their own computers based on their needs and preferences. By giving customers choices on specifications such as RAM, processor, and storage, Dell meets individual needs without requiring separate production lines for each configuration. This flexibility has contributed to Dell’s competitiveness, as customers appreciate the ability to personalize their devices at a reasonable price without delays.

Example of Application in MOM

In Mental Operations Management, mass customization can be applied by developing personalized cognitive strategies that align with individual strengths and needs. For instance, someone who learns visually may adopt visualization techniques, while another person might use verbal repetition for memory enhancement. Cognitive research supports this approach, showing that tailored cognitive techniques can improve learning retention and mental performance by 15-25% (Howard-Jones, 2014). By customizing cognitive strategies to fit personal learning styles, individuals can optimize their mental operations and make more efficient use of their cognitive resources.

Inventory Management

Inventory Management is a strategy focused on optimizing the balance between inventory availability and storage costs, ensuring that materials are available when needed while avoiding excess stock. Effective inventory management techniques, such as Just-in-Time (JIT) and Economic Order Quantity (EOQ), aim to maintain a lean inventory while minimizing stockouts. Studies indicate that inventory management can reduce holding costs by 20-30% and improve order fulfillment rates, which is crucial in sectors like retail and manufacturing where demand can fluctuate (Silver et al., 1998). The effects of inventory management are improved efficiency, reduced waste, and better cash flow, as resources are allocated where they are most needed.

Example of Application in Business

In retail, companies like Amazon rely on sophisticated inventory management systems to balance inventory levels across multiple warehouses. Amazon uses predictive algorithms to estimate demand for products and stock them accordingly, ensuring fast delivery while minimizing overstock. This approach allows Amazon to fulfill orders quickly, reducing costs associated with storage and stockouts, and improving customer satisfaction.

Example of Application in MOM

In Mental Operations Management, inventory management can be applied by managing cognitive resources like attention and memory to ensure they are used efficiently. For example, an individual may schedule intense mental tasks (requiring high attention) for peak productivity hours and lighter tasks for times when energy is lower. Research on cognitive load management shows that strategic allocation of mental resources can improve focus and task completion rates by 15-20% (Sweller, 1988). Applying inventory management principles to cognitive tasks helps individuals avoid mental fatigue and make the best use of their cognitive abilities.

SCOR Model (Supply Chain Operations Reference)

The SCOR Model is a process framework designed to evaluate and improve the efficiency of supply chains, addressing five key areas: Plan, Source, Make, Deliver, and Return. Developed by the Supply Chain Council, SCOR helps organizations optimize supply chain performance by analyzing each stage, identifying bottlenecks, and implementing best practices. Research has shown that the SCOR Model can improve supply chain efficiency by 15-20% by reducing lead times and lowering costs associated with storage and transportation (Stewart, 1997). The main effects of SCOR include streamlined operations, enhanced responsiveness to market demand, and a reduction in waste, making it valuable for companies with complex supply chains.

Example of Application in Business

In e-commerce, companies like Walmart use the SCOR Model to optimize their global supply chains. By applying SCOR to each supply chain stage, Walmart can ensure that products are sourced, produced, and delivered efficiently. For example, SCOR's “Plan” and “Deliver” stages help Walmart adjust to seasonal demand by improving inventory forecasting and distribution planning. This approach allows Walmart to meet demand promptly while minimizing excess inventory, supporting profitability and customer satisfaction.

Example of Application in MOM

In Mental Operations Management, the SCOR Model can be applied by organizing and managing cognitive resources through a structured framework. For instance, an individual might use the SCOR stages to plan their mental tasks, source necessary information, make decisions, deliver outcomes, and review or return to optimize future performance. Cognitive studies show that having structured stages in mental tasks can improve productivity and reduce cognitive overload by 20-25% (Ericsson & Kintsch, 1995). Applying the SCOR framework to cognitive tasks enables individuals to approach complex mental tasks in an organized, efficient way, leading to better mental clarity and sustained focus.

Fishbone (Ishikawa) Diagram

The Fishbone Diagram, also known as the Ishikawa Diagram, is a visual tool used to systematically identify and analyze the root causes of problems by categorizing them into major contributing factors. Named for its resemblance to a fish skeleton, the diagram allows teams to trace potential causes for an issue and group them into categories like People, Processes, Materials, and Environment. Research has shown that Fishbone Diagrams are effective in reducing problem-solving time by 15-20% in complex operations, as they provide a clear structure for exploring underlying issues (Ishikawa, 1985). The effects of this tool include a thorough understanding of problem causes, better-informed solutions, and minimized recurrence of similar issues.

Example of Application in Business

In healthcare, Fishbone Diagrams are often used to identify factors contributing to patient care issues. For instance, a hospital may use this tool to investigate the causes of medication errors. By organizing potential causes into categories—such as Training, Equipment, Environment, and Processes—the healthcare team can trace and resolve specific contributors to errors, such as inadequate staff training or unclear labeling. This structured approach reduces errors, improving both patient safety and overall care quality.

Example of Application in MOM

In Mental Operations Management, Fishbone Diagrams can be used to analyze causes of cognitive obstacles, such as persistent mental fatigue or low productivity. For example, if an individual feels mentally drained by midday, they can use the Fishbone Diagram to explore potential factors, categorizing them into Sleep, Diet, Work Environment, and Task Management. Studies in self-assessment show that systematically exploring cognitive challenges can improve problem resolution by 10-15%, leading to actionable insights and better cognitive resilience (Boud & Walker, 1998). Using the Fishbone Diagram to explore mental processes allows individuals to identify and address root causes, enhancing overall cognitive function.

PDCA Cycle (Plan-Do-Check-Act)

Description

The PDCA Cycle, also known as Plan-Do-Check-Act, is a continuous improvement model used to test and refine processes in a systematic, iterative way. Originally developed by W. Edwards Deming, the PDCA Cycle promotes incremental improvements by planning a change, implementing it, checking the results, and adjusting as necessary before starting the cycle again. Studies have demonstrated that the PDCA model can improve efficiency and reduce waste by 20-30% in process-oriented settings (Deming, 1986). The effects of PDCA include increased adaptability, enhanced problem-solving, and a culture of continuous improvement, making it a valuable tool in both management and personal development.

Example of Application in Business

In manufacturing, companies like Toyota use PDCA to implement quality control adjustments. For instance, if a defect is found in a production line, Toyota employs the PDCA cycle to identify, test, and refine a solution. They “Plan” by analyzing the problem, “Do” by applying the solution in a controlled setting, “Check” by reviewing results, and “Act” by standardizing the improvement if successful. This iterative process ensures that problems are resolved systematically, preventing defects and enhancing product quality over time.

Example of Application in MOM

In Mental Operations Management, the PDCA Cycle can help individuals refine cognitive strategies for tasks such as focus enhancement or time management. For instance, if someone wants to improve their focus, they might start with a “Plan” phase, where they identify a new focus technique (e.g., time-blocking). In the “Do” phase, they apply it for a week. In the “Check” phase, they review its effectiveness, noting improvements or challenges. Finally, in the “Act” phase, they adjust the technique based on their findings or continue if it works well. Cognitive psychology research supports this iterative improvement model, showing that such cycles can boost task efficiency by up to 25% (Proctor & Vu, 2006). Applying PDCA to mental tasks allows for regular, structured self-improvement, fostering resilience and adaptability in cognitive functions.

These OM-based strategies reveal that cognitive functions, like business processes, can be optimized to achieve higher efficiency and resilience, particularly when routine tasks are automated through mental shortcuts or habits.

Computer Science: The Input-Transformation-Output Model

The field of computer science offers another robust framework for process optimization, primarily through the input-transformation-output (ITO) model. Widely used in software and system design, this model breaks down tasks into three core components:

1. Input: The information or data received.
2. Transformation: The process of interpreting, analyzing, or processing this data.
3. Output: The result or final action produced by the system.

Each stage of the ITO model ensures that data is handled methodically, yielding reliable outcomes and reducing errors in information processing. In software development, this model allows for effective data flow, translating complex instructions into programmable responses (Simon, 1982; Kahneman, 1973).

Applying the ITO Model to Mental Processes

Our cognitive processes similarly rely on stages of input, transformation, and output. Viewing cognitive tasks through this lens offers valuable insights into how mental resources can be structured and optimized:

• Input: Cognitive inputs consist of sensory data (sights, sounds, smells) and internal stimuli (thoughts, memories, emotions). The brain processes these inputs to make sense of the environment and respond accordingly.
• Transformation: This stage involves mental operations like attention management, memory retrieval, reasoning, and emotional processing, interpreting inputs into actionable insights. Similar to algorithms, mental routines process this data, shaping perceptions and decision-making.
• Output: Outputs are the brain's responses — actions, emotional reactions, or physiological changes. For instance, a stressor may trigger a fight-or-flight response, or a recalled memory may influence decision-making.

Through MOM, we can optimize each stage of the ITO model to enhance mental efficiency. For example, prioritizing inputs allows for selective focus, while refining mental routines reduces unnecessary steps, speeding up the transformation phase. Streamlining outputs, meanwhile, can improve response quality and effectiveness under pressure.

Chapter 3. Applying the ITO Model in Mental Operations Management

To fully apply the Input-Transformation-Output (ITO) model in MOM, start by setting a goal—an essential first step for structuring any optimization process. With your goal in place, the next question becomes identifying where adjustments should occur within the ITO stages: should the Input be modified, the Transformation process improved, or both?

Goal Definition. After setting a focus-related goal, such as “increase focus by reducing distractions,” you can begin analyzing how to modify either the Input or Transformation stages (or both) to support this objective.

For example, if distractions (Input) are significant, filtering and limiting them may improve focus. Conversely, if the challenge lies in how information is processed (Transformation), refining cognitive routines and mental steps may enhance efficiency.

Often, optimizing both Input and Transformation stages creates the most substantial improvement in mental performance.

Chapter 4. Analyzing Each ITO Stage for Optimization

Once the stages requiring change are identified, we can examine each phase—Input, Transformation, and Output.

Input: Selective Attention and Filtering

• Modify Inputs by managing external and internal stimuli. For focus goals, controlling sensory inputs like notifications and workspace organization helps streamline information intake (Kahneman, 1973; Simon, 1982).
• Example in Practice: In a work scenario, reducing incoming distractions by silencing unnecessary notifications can refine the focus on relevant data, aligning with Lean Thinking principles to minimize “cognitive clutter.”

Transformation: Streamlining Cognitive Routines

• Altering the Transformation phase involves optimizing mental routines, memory retrieval, and emotional regulation processes to handle filtered inputs effectively. Research suggests that cognitive models, like schema theory, support simplified transformations, which can speed processing and improve task accuracy (Sweller, 1988).
• Example in Practice: During a presentation, refining transformation routines through mental rehearsal or chunking enables smoother cognitive transitions and reduces anxiety, strengthening focus and response quality.

Output: Optimizing Responses for Improved Outcomes

• While the Output stage itself cannot be directly modified, adjustments in the Input or Transformation phases can influence behavioral, emotional, and physiological responses. By enhancing inputs or refining mental processing, responses become more efficient and adaptive, supporting the goal of maintaining focus under high-stress conditions (Baumeister & Tierney, 2011).

By following this structured process, the ITO model in MOM offers a method to decide what to change (Input, Transformation, or both) and how to achieve it, paving the way for targeted and effective focus improvement.

Chapter 5. Optimizing Transformation Phase

Now that we have established a framework for identifying the target stages within the Input-Transformation-Output (ITO) model, the following section will break down practical steps to optimize the transformation phase.

In this critical stage, the mind engages in mental operations to produce desired outcomes. By applying targeted strategies, we can streamline mental processes to enhance focus, efficiency, and resilience, moving steadily toward our cognitive performance goals.

Each step will guide you through: 1) observation, 2) goal definition, 3) strategy selection, 4) integration, and 5) evaluation, ensuring these principles are smoothly incorporated into daily routines for sustained cognitive enhancement.

Let’s now explore each step, aligning mental operations with our objectives for focus and resilience.

Step 1: Observe and Collect Information

Start by observing when and why you lose focus during the day. You notice that frequent notifications and multitasking are the main distractions.

Here are effective observation techniques to help understand when and why you lose focus, aiding in the development of personalized strategies for maintaining attention:

• Self-Reflection Journal. At the end of each day, write down instances when you felt distracted or lost focus. Note the specific triggers, time of day, task type, and any feelings or thoughts that accompanied the distraction. This helps you track recurring patterns over time. Regular self-reflection can reveal underlying issues like task difficulty, fatigue, or external stimuli (Mace, 2001).
• Focus Interval Tracking. Use a timer (e.g., Pomodoro technique) and record how long you can stay focused before feeling the urge to switch tasks or check notifications. Note the time intervals that yield the most productivity. This method helps identify your natural attention span and optimal work intervals, allowing you to structure tasks around these periods (Baumeister & Tierney, 2011).
• Environmental Audit. Observe and record external elements in your workspace that might impact focus, such as noise, temperature, or lighting. Track how changes in the environment influence your productivity, like moving to a quieter space. Environmental Audit identifies environmental triggers that may contribute to distraction, enabling adjustments to improve focus (Evans & Wener, 2007).
• Task-Related Behavior Mapping. Map out behaviors tied to specific tasks (e.g., checking emails during work on a report). Record which tasks are prone to interruptions and list behaviors that commonly occur with them, like browsing unrelated tabs. This helps you understand which types of tasks trigger distractions, allowing targeted strategies for focus improvement in these areas (Duhigg, 2012).
• Mindfulness and Real-Time Noting. During work sessions, use mindfulness techniques to become aware of moments when your mind starts to wander. Make a quick note of what triggered it and the immediate circumstances. Real-time mindfulness builds awareness and trains you to catch distractions as they arise, helping develop self-regulation over time (Kabat-Zinn, 1994).
• Feedback from Others. Ask coworkers, friends, or a mentor to observe and note any distracted behaviors they observe in your workflow. External feedback provides a different perspective on distraction patterns, which can be helpful when self-observation may overlook subtle habits (Ericsson et al., 1993).

Step 2: Define Your Goal and Select a Strategy

Here are some effective strategies for defining your goal, especially when aiming to improve focus or reduce distractions:

• SMART Goal Framework Define your goal using the SMART criteria, which ensures it’s Specific, Measurable, Achievable, Relevant, and Time-bound. For instance, instead of a broad goal like “increase focus,” a SMART goal would be “reduce daily screen distractions by limiting phone use to five minutes per hour during work hours for the next 30 days.” This clarity in definition helps maintain focus on measurable progress (Doran, 1981).
• Outcome Visualization Imagine the ideal outcome of reaching your goal. Picture what an optimized workday with fewer distractions would look and feel like. This visualization helps clarify exactly what you want to achieve and identifies potential adjustments. Studies show that visualizing a successful outcome can boost commitment and improve goal precision (Taylor et al., 1998).
• Identify Core Challenges and Focus Areas Start by listing the primary challenges you face, like frequent notifications or social media use. From these, clarify what the goal aims to resolve. For example, if notifications are a distraction, you might set a goal like “reduce mobile notifications by 75%.” This makes the goal directly address your focus challenges (Gollwitzer & Sheeran, 2006).
• Break Down into Micro-Goals If the overarching goal feels broad or vague, break it down into smaller, actionable steps. For instance, “increase focus” can be split into specific targets like “reduce daily screen time” or “allocate one uninterrupted hour to priority tasks.” This approach provides incremental goals, making them more achievable and manageable (Bandura, 1977).

Once these strategies are applied, finalize your goal: Increase focus by reducing distractions.

After defining your goal, it’s time to choose an effective strategy that aligns with your objectives. Here are the steps for identifying the best fit, using Lean Thinking as a primary example:

• Align with Your Goal Type. Start by identifying strategies that directly address your goal's nature. For a focus-related goal, look for strategies designed to streamline and simplify processes, such as Lean Thinking. Lean Thinking is effective here because it systematically removes unnecessary steps, freeing up mental resources for essential tasks (Womack & Jones, 1996).
• Evaluate Strategy Outcomes.Each strategy has a unique impact. Compare the intended outcome of the strategy with your goal. Lean Thinking is known for reducing inefficiencies and distractions in various fields, making it a strong choice for focus enhancement. Research shows that reducing “cognitive waste” can significantly improve mental efficiency, so this aligns well with a focus-improvement goal (Ohno, 1988).
• Consider Complexity and Implementation Feasibility. Assess how complex and time-intensive each strategy might be. Lean Thinking is a straightforward approach that requires simple, actionable steps, such as identifying distractions and removing non-essential tasks. For a busy schedule, simplicity and ease of implementation make Lean Thinking feasible, especially compared to more complex methods like Six Sigma, which may require extensive planning and feedback loops.
• Analyze Empirical Support and Past Successes. Research whether the strategy has been proven effective in similar contexts. Lean Thinking, for example, has strong empirical support in organizational productivity and individual efficiency. Studies highlight that focusing only on essential tasks minimizes mental strain, directly enhancing focus (Baumeister & Tierney, 2011; Sweller, 1988).
• Trial a Small Application. Before fully committing, try implementing a small aspect of the strategy to test its impact. For instance, you could start by applying Lean Thinking to just one task, like email management, by batching responses at set times. A quick trial helps you assess whether the strategy is effective and easy to maintain.

After completing this selection process, finalize your chosen strategy: Lean Thinking. This strategy is ideal for focus enhancement, as it helps remove non-essential steps or distractions. By eliminating unnecessary elements, you can concentrate fully on core tasks, leading to improved focus and efficiency.

Step 3: Modify Your Mental Routine with Lean Thinking

Implement Lean Thinking by systematically reducing distractions and prioritizing actions that enhance focus:

1. Turn Off Notifications: Silence non-urgent notifications. For communication apps and emails, set specific times in the day (e.g., noon and end of day) to check and respond.
2. Create a Daily Priority List: Each morning, list the three most important tasks. Focus on completing these tasks before moving to others.
3. Time Blocking for Deep Focus: Use focused time blocks, such as the Pomodoro Technique (25 minutes of work followed by a 5-minute break). Research supports this approach, showing it helps maintain attention and reduce fatigue (Baumeister & Tierney, 2011).
4. Remove Physical and Visual Clutter: At the start of the day, organize your workspace to keep only what you need. Research indicates that clutter can mentally distract, making it harder to focus on single tasks (McMains & Kastner, 2011).
5. Limit Open Tabs: While working, limit yourself to one or two essential browser tabs to reduce digital distractions. Close everything else until you finish your primary task.
6. Use a Task Management Tool: Try a digital task manager, like Trello or Todoist, to organize tasks and keep track of priorities. This Lean Thinking approach keeps your tasks visible and helps avoid mental clutter.
7. Batch Similar Tasks: Group similar tasks (e.g., emails, reporting) and tackle them at once instead of scattering them throughout the day. Studies show task batching reduces mental switching costs and increases efficiency (Mark, Gonzalez, & Harris, 2005).

By implementing these steps, you’re applying Lean Thinking to remove distractions and simplify your work process, making it easier to sustain focus throughout the day.

Step 4: Integrate This Change into Your Routine

To form a habit from these strategies, follow these six steps based on habit formation principles:

1. Start Small: Research by B.J. Fogg (2019), creator of the Fogg Behavior Model, shows that starting with small, manageable actions increases the likelihood of long-term habit formation by reducing resistance and helping the behavior feel achievable.
2. Consistency and Repetition: Studies by Lally et al. (2010) emphasize that repetition is crucial, indicating that habits typically form over a consistent period (on average, about 66 days). This process helps reinforce neural pathways associated with the behavior, making it automatic over time.
3. Use Triggers or Cues: Charles Duhigg (2012), in his book The Power of Habit, explains that linking behaviors to specific cues (like times, places, or pre-existing routines) can trigger the habit automatically, as the brain associates the cue with the new behavior.
4. Reward Yourself: Skinner’s Operant Conditioning model (1953) shows that positive reinforcement strengthens behaviors, making them more likely to be repeated. Small rewards provide immediate satisfaction, which motivates repeated behavior.
5. Track Progress: James Clear (2018), in Atomic Habits, explains how visual cues like tracking can reinforce habits. Tracking also provides a tangible record of progress, helping build momentum and accountability.
6. Reflect and Adjust: Gollwitzer & Sheeran (2006) found that using feedback and making adjustments based on effectiveness strengthens commitment. Reflection encourages adaptation, ensuring the habit aligns with ongoing goals.

Step 5: Evaluate and Refine

After a week, review your progress.

If you feel an improvement in focus, continue with these adjustments.

If distractions persist, you might need to adjust your routine further, like reducing the number of tasks per day or adding brief breaks.

Final Thoughts

Process optimization within the SPARK framework represents just one facet of the broader field of Mental Operations Management (MOM).

The journey through setting goals, selecting strategies, integrating habits, and evaluating results illustrates how structured, business-inspired approaches can empower individuals to improve mental clarity, focus, and resilience.

The application of MOM frameworks encourages continuous learning and adaptation, reminding us that mental operations, like any well-managed system, benefit from regular reassessment and refinement.

The final steps in process optimization should always consider evolving cognitive needs, adapting strategies as tasks, environments, and goals change. This adaptability is the essence of MOM, fostering mental agility and strength in an increasingly complex world.

By internalizing MOM’s methods, we cultivate an approach that supports not just optimized performance but also a resilient mindset — one that’s equipped to navigate and thrive amidst daily demands, turning cognitive processes into powerful tools for sustained personal growth.

References

1. Bandler, R., & Grinder, J. (1979). Neuro-Linguistic Programming: Volume I. Meta Publications.
2. Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice Hall.
3. Baumeister, R. F., & Tierney, J. (2011). Willpower: Rediscovering the Greatest Human Strength. Penguin Press.
4. Beck, A. T. (1976). Cognitive Therapy and the Emotional Disorders. International Universities Press.
5. Berne, E. (1964). Games People Play: The Psychology of Human Relationships. Grove Press.
6. Clear, J. (2018). Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones. Penguin Random House.
7. Doran, G. T. (1981). There’s a S.M.A.R.T. Way to Write Management’s Goals and Objectives. Management Review, 70(11), 35–36.
8. Duhigg, C. (2012). The Power of Habit: Why We Do What We Do in Life and Business. Random House.
9. Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102(2), 211–245.
10. Evans, G. W., & Wener, R. E. (2007). Crowding and personal space invasion on the train: Please don’t make me sit in the middle. Journal of Environmental Psychology, 27(1), 90–94.
11. Fogg, B. J. (2019). Tiny Habits: The Small Changes That Change Everything. Houghton Mifflin Harcourt.
12. Gollwitzer, P. M., & Sheeran, P. (2006). Implementation intentions and goal achievement: A meta-analysis of effects and processes. Advances in Experimental Social Psychology, 38, 69–119.
13. Hendricks, K. B., & Singhal, V. R. (1997). Does implementing an effective TQM program actually improve operating performance? Empirical evidence from firms that have won quality awards. Management Science, 43(9), 1258–1274.
14. Kahneman, D. (1973). Attention and Effort. Prentice-Hall.
15. Kabat-Zinn, J. (1994). Wherever You Go, There You Are: Mindfulness Meditation in Everyday Life. Hyperion.
16. Lally, P., van Jaarsveld, C. H., Potts, H. W., & Wardle, J. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40(6), 998–1009.
17. Liker, J. K. (2004). The Toyota Way: 14 Management Principles from the World’s Greatest Manufacturer. McGraw-Hill.
18. Mark, G., Gonzalez, V. M., & Harris, J. (2005). No task left behind? Examining the nature of fragmented work. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 321–330.
19. Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7(3), 134–140.
20. Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production. Productivity Press.
21. Shah, R., & Ward, P. T. (2003). Lean manufacturing: Context, practice bundles, and performance. Journal of Operations Management, 21(2), 129–149.
22. Simon, H. A. (1982). Models of Bounded Rationality: Behavioral Economics and Business Organization. MIT Press.
23. Skinner, B. F. (1953). Science and Human Behavior. Macmillan.
24. Sweller, J. (1988). Cognitive load during problem-solving: Effects on learning. Cognitive Science, 12(2), 257–285.
25. Taylor, S. E., Pham, L. B., Rivkin, I. D., & Armor, D. A. (1998). Harnessing the imagination: Mental simulation, self-regulation, and coping. American Psychologist, 53(4), 429–439.
26. Womack, J. P., & Jones, D. T. (1996). Lean Thinking: Banish Waste and Create Wealth in Your Corporation. Simon & Schuster.