Operations

Perceived Value

Perceived Value Jonathan Poland

Perceived value is the subjective worth that a customer assigns to a product or service based on their own personal evaluation. It is a key factor in determining whether a customer will make a purchase or not, as it influences their perceived return on investment.

There are several ways in which perceived value can be increased. One is by offering a product or service that meets or exceeds the customer’s expectations in terms of quality, features, and performance. Another is by providing additional value through complementary products or services, such as warranties, maintenance plans, or customer support.

In addition, the way in which a product or service is marketed and positioned can also impact perceived value. For example, highlighting the unique features or benefits of a product or service, or presenting it as a premium offering, can increase its perceived value in the eyes of the customer.

It is important for businesses to consider perceived value in their pricing strategies, as it can impact the demand for their products or services. By understanding the perceived value of their offerings, businesses can better determine the right price point to maximize profitability and customer satisfaction.

Overall, perceived value is a crucial aspect of the customer experience and can significantly influence a customer’s decision to make a purchase. By focusing on increasing perceived value, businesses can increase customer loyalty, repeat business, and overall profitability. The following are illustrative examples of perceived value.

Function

The things that a customer can accomplish with your product or service. For example, an accounting service that removes a customer’s administrative burden related to taxes.

Features

The way that functions are implemented such as an accounting service that gives a small business a monthly report that estimates quarterly and annual taxes.

Visual Appeal

The overall visual impact of a product or service. For example, a mobile device that looks sturdy and stylish.

Usability

The ease with which the product or service is used such as a mobile device that feels intuitive.

Packaging

The experience of unpackaging a product. For example, a cardboard box with no tape that is easy to pop open as opposed to thick plastic that requires heavy duty scissors to open.

Refinement

Attention to detail and good taste in design and operations. For example, a table setting at a restaurant that is perfectly laid out in ornate detail.

Brand Image

The way that a customer feels about a brand such as a fashion brand that is viewed as luxurious and high status.

Craft

In an automated world, things that are produced by hand may be perceived as higher value.

Personal Service

Attention from a person, particular someone who is skilled at customer service. For example, a waiter who remembers details about regulars such as their usual order.

Experience

Experiences such as the impression you get as you walk into a hotel lobby that features interesting architecture, interiors and social elements.

Rarity

The impression that an item is unique and hard to find. For example, a toy company that produces a large number of variations in limited supply.

Service Quality

Service Quality Jonathan Poland

Service Quality is determined by the value it holds for customers. This value can vary from person to person and is influenced by their individual needs, expectations, and perceptions. To gauge the quality of a service, customer surveys are often used to quantify these subjective experiences. The following are common types of service quality.

Reliability

A reliable service such as an airline that’s usually on time.

Responsiveness

A service that is responsive to the individual needs of customers. For example, a firm that isn’t locked into rigid policies when special situations arise.

Empathy & Tailoring

It is well known in the service industry that different customers prefer different styles of service. For example, some customers enjoy a personal conversation where others would prefer to maintain a distance.

Competence & Diligence

Professionals who know what they’re doing and are paying attention.

Consistency

A pleasant level of predictability such as a dish at a restaurant that tastes the same each time.

Safety & Security

A service that feels safe and secure such as a site that doesn’t lose your personal data.

Environments

The quality of environments such as a hotel room or airport lounge.

User Interfaces

User interfaces that are pleasing and productive to use.

Tangibles

Tangible elements of a service such as the quality of ingredients used by a restaurant.

Experiences

The overall intangible experience offered by a service such as a theme park that’s has a happy feel to it.

Data Quality

Data Quality Jonathan Poland

Data quality refers to the accuracy, completeness, and reliability of information used for various purposes within an organization. Ensuring high data quality is crucial for making informed decisions, improving efficiency, and maintaining the credibility of an organization.

There are several factors that can affect data quality. One factor is the source of the data. Data that is collected from reliable sources is more likely to be of high quality. It is also important to ensure that data is properly collected, stored, and maintained to prevent errors and inaccuracies.

Another factor that can affect data quality is the consistency of the data. Inconsistent data can lead to confusion and misunderstandings, and can also make it difficult to accurately analyze and interpret the data. Ensuring that data is consistently formatted and labeled is essential for maintaining data quality.

In order to improve data quality, organizations can establish data quality standards and processes. This may include implementing data governance policies, training employees on proper data handling practices, and regularly reviewing and auditing data to identify and address any issues.

Effective data quality management requires a collaborative effort from all stakeholders within an organization. This includes establishing clear roles and responsibilities for data management, as well as communication and collaboration among teams to ensure that data is being used effectively and efficiently.

Overall, data quality is a critical aspect of any organization’s operations. By implementing effective data quality management practices, organizations can ensure that they are making informed decisions based on accurate and reliable information. The following are commonly used criteria to define data quality.

Accurate

Data that is correct.

Relevance

Data that is useful to support processes, procedures and decision making.

Timeliness

How quickly data is created, updated and deleted.

Precision

The exactness of data. For example, a company that has annual revenue of $3,451,001,323 as opposed to a 3 billion dollar company.

Correctness

Data that is free of errors, omissions and inaccuracies.

Completeness

Data that is compete relative to your business purpose. For example, an order for an economy car may need configuration details such as color, wheel size and electronics package. An order for a luxury car may require additional details such as engine type, seat and interior package.

Credibility

Data that stems from reputable sources such as verified company press releases as opposed to social media rumors.

Traceability

Data that can be traced to its source. If someone changed your prices, you should be able to figure out who.

Quality Goals

Quality Goals Jonathan Poland

Quality goals are specific targets that are set to improve the quality of a product, service, or process. They are often developed as part of a broader quality assurance strategy or as part of a performance management system. Quality goals are designed to help organizations identify areas where they need to improve and to establish clear targets for improvement. By setting specific, measurable, attainable, relevant, and time-bound (SMART) quality goals, organizations can more effectively track progress and ensure that they are making progress towards their desired quality outcomes. The following are examples of quality goals.

  • Defects: Reducing the number of defects discovered by quality control.
  • Quality Control: Improving the quality control process itself.
  • Measurement: Measuring new quality metrics.
  • Benchmarking: Comparing your product or service quality to your competitors and industry.
  • Reporting: Capturing valuable measurements and communicating them.
  • Durability: Increasing the durability of products with new designs, materials and methods.
  • Service Quality: The quality of services is typically measured with intangible elements such as wait time.
  • Customer Ratings: Improving ratings on external sites such as a hotel that is concerned with improving review scores on a popular travel site.
  • Customer Experience: Internal measures of the customer experience such as turnaround time for requests.
  • Customer Satisfaction: Customer satisfaction is a common way to measure quality for both products and services.
  • Availability: The availability of services, particular digital services.
  • Data Quality: Addressing data quality issues such as the accuracy, completeness or timeliness of data.
  • Process Quality: The quality of process outputs such as a billing process that produces monthly customer invoices.
  • Supply: The quality of supplied components, parts and materials.
  • Traceability: Improving the tracking of things so that quality problems can be investigated, isolated and managed.
  • Consistency: Making products and services predictable, stable and consistent.
  • Standards: The implementation of external or internal quality standards.
  • Human Error: Reducing human error with improved policy, procedure, processes, systems and training.
  • Information Security: In many cases, a quality assurance team acts as oversight for information security issues, particularly security issues related to compliance.
  • Safety: Reducing health and safety risks.
  • Compliance: Compliance to laws, regulations, standards and internal policies such as best practices.
  • Monitoring: Implementing controls to monitor processes, procedures and other elements that impact quality.
  • Logistics: Improving inbound and outbound logistics where this impacts quality. For example, a firm that views late deliveries as damaging to the customer experience.
  • Training: Training designed to reduce incidents or improve service or product quality.
  • Incident Management: The process of responding to customer impacting issues.
  • Problem Management: The process of investigating and fixing the root cause of incidents.

Recruiting

Recruiting Jonathan Poland

Recruiting refers to the process of attracting, screening, and selecting qualified candidates for employment. This process is essential for any organization as it helps to find the best fit for open positions and ensures that the company has the necessary skills and talent to achieve its goals.

There are several steps involved in the recruiting process, including:

  1. Identifying the need for a new hire: This involves identifying the skills and experience required for the open position and determining whether the company has the budget and resources to hire someone.
  2. Creating a job description: A job description outlines the duties and responsibilities of the open position, as well as the required skills and qualifications.
  3. Advertising the position: This can be done through a variety of channels, including job boards, social media, and employee referrals.
  4. Reviewing resumes and applications: Once applicants have applied, the company will review their resumes and applications to determine which candidates meet the minimum qualifications for the position.
  5. Conducting interviews: This typically involves one or more rounds of interviews, either in person or virtually, to assess the candidates’ skills and fit for the position.
  6. Checking references: It is important to verify the information provided by the candidate, such as their work history and education, by checking references.
  7. Making a job offer: If the candidate is a good fit for the position, the company will make a job offer and negotiate salary and other terms of employment.

Effective recruiting requires a combination of strategy and resources. It is important to have a clear understanding of the skills and experience required for the position, as well as the budget and resources available for the hire. Additionally, it is essential to have a thorough and efficient process in place for reviewing resumes and conducting interviews, as well as for checking references and making job offers.

Overall, recruiting is a crucial part of building a successful and effective team. It allows companies to find the right fit for open positions and ensure that they have the necessary skills and talent to achieve their goals.

Butts in Chairs

Viewing employees in a profession as more or less interchangeable such that recruiting is focused on minimizing time and cost as opposed to discovering talent. For example, a bank that hires 500 software developers in the space of a few months such that anyone with proper qualifications and a reasonable interview is hired.

Hire at the Bottom

Hiring candidates for entry level positions and mostly promoting from within for management and specialized roles. This is a common approach for large firms in cultures with a lifetime system of employment whereby people tend to stay with a company for their entire careers.

Talent Sourcing

Developing and evaluating sources for talent. For example, a recruiting team that finds that a particular industry event is a good place to build relationships with candidates with difficult to find skills.

Relationship Building

Generally speaking, recruiters are expected to develop a large number of relationships with talent sources, industry influencers and potential candidates by attending events and using communication tools such as social media or a telephone.

Talent Prospecting

Using talent sources to identify potential candidates, build relationships and determine if they are qualified for a role.

Recruiting Events

Attending or hosting recruiting events that allow you to connect with candidates to have an initial conversation.

Passive Candidates

Strategies that seek candidates who are not looking for a job. This includes recruiting employees who are content with their current position and candidates who aren’t participating in the job market such as retirees.

College Recruiting

Developing relationships with universities, colleges and other education institutions to hire new graduates. It is common for a firm to have a close relationship with a set of schools. In some cases, a firm may also identify programs and classes that repeatedly yield successful candidates.

Internship Programs

Programs that offer roles for a limited period of time to students and other candidates who want to develop work experience. This has a variety of ethical implications. For example, some firms don’t pay interns, overwork them or give them work that doesn’t represent valuable experience. A well designed internship program offers high value to participants in terms of experience without taking advantage of their inexperience to overwork them. Extending a job offer to interns who perform well is a common practice.

Research Programs

Firms may engage and support research and development programs as a way to build relationships with emerging talent in a field. For example, a firm may sponsor research in robotics and artificial intelligence to build relationships with students and researchers in these areas.

Accepting Resumes

Accepting unsolicited inquiries from candidates, particularly resume submissions. Firms may immediately evaluate such inquiries for top talent, even if they aren’t hiring. It is a poor practice to collect such submissions without consideration as they quickly grow stale.

Candidate Databases

Acquiring data about potential candidates, such as resumes and contact data. It is considered a poor practice to develop dark data that doesn’t get used as this can become a compliance risk. For example, the risk of a data breach.

Data-driven Recruiting

Firms may compare the performance of employees over the first few years by recruiting source or method. For example, a firm may find that a particular school, event or interviewing technique has lead to unusually high performing hires.

Recruiting Pipeline

Viewing the recruiting process as a pipeline including stages such as prospecting, interviewing, selection, hiring and onboarding. Typically used to manage a large recruiting effort as you may need dozens of prospects for each hire. This requires planning as the process from prospect to onboarding can take several months.

Job Descriptions

The quality of job descriptions has a significant impact on the recruiting process. Top talent are primarily motivated by work itself and will avoid opportunities that sound uninteresting. Job descriptions are also the basis for interviewing and selection such that an inaccurate description produces a poor match.

Job Posts

Advertising available positions to the public and/or internally.

Skills Inventory

Developing a model of the skills you need and tracking your current capabilities in each area. For example, a development team may find that they have ample coding skills but are badly lacking information security capabilities.

Assessment Testing

Tests of aptitude, knowledge and attitude. These may be company specific tests designed to gauge a candidate’s understanding of first principles in an industry. Alternatively, a firm may administer standard tests such as an IQ test.

Interviewing

A series of conversations designed to explore a candidate’s knowledge, past performance and attitudes. It is common for each candidate to be interviewed by at least three different individuals or teams. Interviewers score candidates to produce a shortlist with the final call going to the hiring manager.

Culture Fit

Some firms hire primarily based on a candidate’s ability to fit in with a firm’s culture. For example, a firm may prefer candidates who are open minded risk takers as opposed to risk adverse and opinionated.

Intellectual Diversity

The opposite strategy of culture fit that seeks candidates with strong independent characters who all think differently. This prevents groupthink and may be the basis for creativity as an organization.

Internal Recruitment

Filling positions by promoting employees. Some firms mandate that employees be given an equal or preferred opportunity to apply for open positions.

Recruiting Partners

The use of recruiting companies to find candidates. As independent third parties, such firms can approach the employees of your competitors more easily. They may also have far deeper networks of connections than your human resources department.

Poaching

The act of recruiting a current employee of a competitor. Many firms prefer candidates who work for a competitor. However, poaching has negative connotations as it can be viewed in the light of intellectual property rights and the knowledge that gets transferred with an employee. As such, firms that aggressively poach may risk a counter response from the target competitor. Poaching can become extremely aggressive and negative. For example, a firm may poach employees simply to hurt a competitor when they have no need of the employee’s skills. This is known as “hire to hurt.”

Lift Outs

Recruiting entire teams at the same time. For example, a firm that tries to hire the entire digital marketing team of a competitor by offering unusually high salaries. This is an aggressive type of poaching that risks a response from competitors that can include strategies well beyond the scope of human resources such as a price war. As such, aggressive poaching requires the support and blessing of senior management.

Acquisitions

Acquiring a firm in order to employee their talent. This can be a friendly alternative to poaching. However, this can also be controversial because it often involves laying off employees, discarding products and abandoning the customers of the target firm.

Counter Cycle Hiring

Hiring during a low season for employment such as a retailer who hires after Christmas to enjoy a bigger pool of candidates.

Contingent Workforce

Hiring casual, freelance and temporary workers to meet current demand or to avoid the costs of full time employment such as benefits.

International Hiring

Recruiting on an international basis to tap sources of talent or to reduce salary costs.

Outsourcing

Outsourcing is a common alternative to hiring. Recruiting may begin by comparing the costs and advantages of a full time position with outsourcing alternatives. Outsourcing can also be used as a stopgap measure when a position can’t be filled in time.

Competitions

Competitions can be used as a means of identifying up and coming talent. For example, a sporting goods company that holds a product design contest with the idea that several shortlisted entries might end up being attractive candidates for a design role.

Employee Referrals

Asking employees to introduce candidates in return for a referral bonus if they are hired. It is common for executives in particular, to introduce a large number of candidates. This can risk a bozo explosion if such candidates aren’t thoroughly vetted.

Recruiting Culture

Shifting responsibility for recruiting to all staff. This is typically in the form of an aggressive employee referrals program that encourages employees to build relationships and discover candidates.

Wanted List

Developing a shortlist of the talent you would most like to hire. For example, an firm that identifies a dozen brilliant product designers in its industry. Attempts are then made to establish relationships with talent or find recruiters who have existing relationships that can be used to engage them.

Candidate Experience

Candidates commonly report negative recruiting experiences in social media, employment forums and employer rating sites. For example, candidates may complain of invasive questioning, poor communications and failure to meet commitments such as canceled interviews. Each candidate you don’t hire goes on to work in your industry for many years. Some may go on to become influencers and leaders that hit your wanted list. As such, firms may take steps to measure and improve the recruiting process from the perspective of candidates.

Employer Branding

Developing your reputation as an employer and firm such that talent are naturally attracted to work for you. This is based both on your brand and reputation in areas such as working conditions, work-life balance and sustainability. There is often a great deal of social status attached to working for a top employer that motivates candidates beyond salary and benefits.

Performance Objectives

Performance Objectives Jonathan Poland

Performance objectives are goals that individuals set for themselves on a regular basis, such as quarterly, semi-annually, or annually. These objectives are often required to meet the criteria of being specific, measurable, achievable, relevant, and time-bound, commonly referred to as SMART goals. One of the most challenging aspects of setting performance objectives is finding a way to measure progress, as many important tasks may not have clear and direct methods of measurement. The following are illustrative examples of performance objectives.

Strategy

Develop a strategy for a new benefit for loyalty card members that is accepted by stakeholders. Measurements: delivery on time, acceptance by stakeholders, increase loyalty card membership to 20% of customers within 6 months of implementation.

Project Management

Deliver the ___ project within schedule and budget. Measurement: budget variance, schedule variance, stakeholder acceptance, performance feedback from stakeholders.

Graphic Design

Deliver assigned work within committed schedule to client satisfaction. Measurement: on-time delivery of work, client satisfaction survey.

IT Operations Manager

Implement process improvements to improve uptime of core services. Measurement: availability of 99.99% for customer portal, mean-time-to-repair of less than 3 hours.

Developer

Deliver a design document for the ___ project. Measurement: on-time delivery, approval by stakeholders, feedback from lead architect.

Sales

Close sales to achieve sales quota. Measurement: monthly recurring revenue of $130,000.

Sales Manager

Manage deals to improve gross margins. Measurement: gross margins of at least 22% total for deals closed by team.

Customer Service

Deliver timely, helpful and accurate service to customers. Measurement: first contact resolution %, average customer satisfaction rating.

Human Resources

Recruit motivated and skilled candidates to support the growth of the team. Measurement: % of positions filled, salary within range, % of new hires that pass probationary period, feedback from hiring manager.

Marketing

Increase the sales of the ___ service by releasing new features that customers find compelling. Measurement: launch at least one new feature, increase new subscriptions by 7% over last quarter, product development costs within budget.

Productivity Rate

Productivity Rate Jonathan Poland

Productivity rate is a measure of the efficiency with which a company or organization produces goods or services. It is typically expressed as the ratio of output to input, with output being the quantity of goods or services produced and input being the resources used to produce those goods or services. Productivity rate is a key indicator of a company’s performance, as it reflects how well the company is able to use its resources to produce goods or services.

There are several factors that can impact a company’s productivity rate. These include the efficiency of the company’s production processes, the skill and experience of the company’s workforce, and the quality of the company’s equipment and technology. In addition, productivity can be influenced by external factors such as market conditions, economic conditions, and the availability of raw materials.

To calculate a company’s productivity rate, the output of the company is divided by the input used to produce that output. For example, if a company produces 100 units of a product in a given period of time and uses 500 hours of labor and $1000 worth of materials to do so, its productivity rate would be calculated as follows:

Productivity rate = (100 units of output) / (500 hours of labor + $1000 of materials)

Productivity rate can be measured in a variety of ways, depending on the specific goods or services being produced and the resources used to produce them. Some common measures of productivity rate include labor productivity, which measures output per hour of labor, and capital productivity, which measures output per unit of capital invested.

Improving productivity rate is an important goal for many companies, as it can help to reduce costs and increase profits. There are several strategies that companies can use to improve their productivity rate, including investing in new equipment and technology, improving production processes, and training and development programs for employees.

Overall, productivity rate is a key measure of a company’s performance and efficiency, and improving productivity rate is an important goal for many companies. By carefully managing their resources and continuously seeking ways to improve efficiency, companies can increase their productivity rate and enhance their competitiveness in the marketplace.

Lifecycle Cost Analysis

Lifecycle Cost Analysis Jonathan Poland

Lifecycle cost analysis is a tool used to evaluate the total cost of owning and operating a product, system, or service over its entire lifecycle. This includes not only the initial purchase price, but also the ongoing costs of maintenance, repairs, and replacements, as well as the disposal or disposal costs at the end of the product’s useful life. The goal of lifecycle cost analysis is to identify the most cost-effective solution for a given problem or need, taking into account all of the costs associated with the product or service over its lifetime.

There are several steps involved in performing a lifecycle cost analysis. The first step is to define the scope of the analysis, including the time frame over which the costs will be evaluated and the level of detail required for the analysis. The next step is to identify all of the costs associated with the product or service, including both initial purchase costs and ongoing costs. These costs may include materials, labor, energy, maintenance, repairs, and replacements. The final step is to compare the total lifecycle costs of different options and select the one that provides the best value over the entire lifecycle.

There are several benefits to using lifecycle cost analysis. By considering the full range of costs associated with a product or service, decision makers can identify cost-effective solutions that may not be apparent when only initial purchase costs are considered. In addition, lifecycle cost analysis can help to identify opportunities for cost savings through the use of more efficient products or processes, and can help to ensure that the long-term costs of a product or service are considered in the decision-making process.

There are also some limitations to lifecycle cost analysis. It can be difficult to accurately predict all of the costs associated with a product or service over its lifetime, particularly for products with long lifespans or for products that are expected to undergo significant technological changes over time. In addition, it can be challenging to compare the costs of different options when they have different lifespans or when they are used in different ways.

To illustrate the use of lifecycle cost analysis, consider the following examples:

Example 1: A company is considering purchasing a new fleet of delivery trucks. The company has the option of purchasing traditional gasoline-powered trucks or electric trucks. The initial purchase price of the electric trucks is higher, but they are expected to have lower ongoing maintenance and fuel costs. By performing a lifecycle cost analysis, the company can compare the total cost of owning and operating the two types of trucks over their lifetimes and determine which option is more cost-effective.

Example 2: A city is considering replacing the lighting in a public park. The city has the option of purchasing traditional incandescent bulbs or LED bulbs. The LED bulbs have a higher initial purchase price, but they are expected to last longer and use less energy, resulting in lower ongoing costs. By performing a lifecycle cost analysis, the city can determine which option is more cost-effective over the long term.

Example 3: A hospital is considering purchasing a new medical imaging system. The hospital has the option of purchasing a traditional X-ray machine or a newer CT scanner. The CT scanner has a higher initial purchase price, but it is expected to have lower ongoing maintenance costs and to provide higher-quality images, resulting in potential cost savings over time. By performing a lifecycle cost analysis, the hospital can determine which option is more cost-effective over the long term.

Labor Productivity

Labor Productivity Jonathan Poland

Labor productivity is a measure of the efficiency with which labor is used to produce goods and services. It is typically expressed as the ratio of output to input, with output being the value of goods and services produced and input being the labor and other resources required to produce them. This report will provide an overview of labor productivity, including how it is measured and some factors that can affect it, and will discuss some best practices for improving labor productivity.

Measuring Labor Productivity

There are several ways to measure labor productivity, including:

  1. Output per hour: This is a common measure of labor productivity that compares the value of output produced to the number of hours worked.
  2. Output per worker: This measure compares the value of output produced to the number of workers involved in producing it.
  3. Output per unit of input: This measure compares the value of output produced to the quantity of inputs (such as materials, equipment, or energy) used in the production process.

Factors Affecting Labor Productivity

There are many factors that can affect labor productivity, including:

  1. Capital investment: Investing in new technology or equipment can increase labor productivity by enabling workers to produce more output in less time.
  2. Education and training: Investing in education and training can improve the skills and knowledge of the workforce, which can in turn increase labor productivity.
  3. Organizational structure: The way in which a company is organized can affect labor productivity, as a well-structured organization with clear roles and responsibilities may be more efficient than one that is less well-structured.
  4. Workplace conditions: The physical and psychological conditions of the workplace can affect labor productivity. For example, a workplace that is poorly lit, noisy, or unhealthy may lead to reduced productivity.
  5. Motivation and engagement: Motivated and engaged workers are more likely to be productive than those who are disengaged or unmotivated.

Best Practices for Improving Labor Productivity

To improve labor productivity, it is important to follow some best practices, including:

  1. Invest in capital: Investing in new technology or equipment can improve labor productivity by enabling workers to produce more output in less time.
  2. Invest in education and training: Investing in education and training can help improve the skills and knowledge of the workforce, which can in turn increase labor productivity.
  3. Review and optimize organizational structure: By reviewing and optimizing the organizational structure, it may be possible to improve efficiency and increase labor productivity.
  4. Improve workplace conditions: By improving the physical and psychological conditions of the workplace, it may be possible to increase labor productivity.
  5. Engage and motivate workers: Engaging and motivating workers can help improve their productivity, as motivated and engaged workers are more likely to be productive than those who are disengaged or unmotivated.

In conclusion, labor productivity is a measure of the efficiency with which labor is used to produce goods and services. By following best practices such as investing in capital and education and training, improving organizational structure, and engaging and motivating workers, it may be possible to improve labor productivity and increase competitiveness.

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