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High-involvement work processes (HIWPs) are associated with high levels of employee influence over the work process, such as high levels of control over how to handle individual job tasks or a high level of involvement at team or workplace level in designing work procedures. When implementations of HIWPs are accompanied by companion investments in human capital – for example, in better information and training, higher pay and stronger employee voice – it is appropriate to talk not only of HIWPs but of “high-involvement work systems” (HIWSs). This chapter reviews the theory and practice of HIWPs and HIWSs. Across a range of academic perspectives and societies, it has regularly been argued that steps to enhance employee involvement in decision-making create better opportunities to perform, better utilization of skill and human potential, and better employee motivation, leading, in turn, to various improvements in organizational and employee outcomes.

However, there are also costs to increased employee involvement and the authors review the important economic and sociopolitical contingencies that help to explain the incidence or distribution of HIWPs and HIWSs. The authors also review the research on the outcomes of higher employee involvement for firms and workers, discuss the quality of the research methods used, and consider the tensions with which the model is associated. This chapter concludes with an outline of the research agenda, envisaging an ongoing role for both quantitative and qualitative studies. Without ignoring the difficulties involved, the authors argue, from the societal perspective, that the high-involvement pathway should be considered one of the most important vectors available to improve the quality of work and employee well-being.

This chapter covers total quality management (TQM) with respect to the Lean and Six Sigma methods used to improve the effectiveness and efficiency of hospitality operations. In the first section, TQM is discussed. In the second section, Lean and Six Sigma techniques are examined individually. Then, Lean and Six Sigma are connected with an example of a housekeeping case study that applies both methodologies. In the third section, business analytics are explored and statistical process control analysis is demonstrated using a hotel room cleanliness example. The fourth section summarizes the concepts of change management, which is critical for embracing the philosophies of TQM. Finally, project management is discussed in the fifth and last section.

Lucerne University of Applied Sciences and Arts (LUASA) uses a holistic approach to foster entrepreneurial thinking and behavior of students and employees. Students and participants of the program shall be motivated to start own ventures during the study program or later in the life.

An entrepreneurial eco-system shall be built and a close partnership with regional key actors established.

A combination of Design Thinking and Lean Start-up is used for the entrepreneurial education. Fostering experimentation, early customer feedback, and interdisciplinary teamwork is essential. An enhanced Lean Canvas version is used for having a guideline to work on the important questions and documenting the learnings in the iterative process.

The program “Smart-up” of LUASA is running since three years as a pilot in two departments and is now rolled out to the entire University. Since program start more than 120 start-ups have been founded.

In all study programs, an “entrepreneurial track” is defined and students can earn credits while working on their own projects. Two interdisciplinary modules are offered. The proposed Smart-up Lean Canvas has been proven to be a key tool to develop innovative ideas in start-ups and in existing companies.

The combination of Design Thinking and Lean Start-up in a holistic setup proved that students can learn the methods and tools and are able to use them now or later as entre- or intrapreneurs.

Students are motivated to start their own business, meet role models and participating at different (networking) events.

The combination of Design Thinking and Lean Start-up with analytical approaches like Systems Thinking and Data Analytics supports the problem understanding and solution (product/service and business) design.

In this chapter, we identify three distinct transformational performance improvement (TPI) approaches commonly used to redesign work processes in health care organizations. We describe the unique components or tools that each approach uses to improve the delivery of health services. We also summarize what is empirically known about the effectiveness of each TPI approach according to systematic reviews and recent studies published in the peer-reviewed literature. Based on examination of this research, we discuss what knowledge is still needed to strengthen the evidence for whole system transformation. This involves the use of conceptual frameworks to assess and guide implementation efforts, and facilitators and barriers to change as revealed in a recent evaluation of one major initiative, the Lean Enterprise Transformation (LET) at the Veterans Health Administration. The analysis suggests ways in which TPI facilitators can be developed and barriers reduced to improve the effectiveness and sustainability of quality initiatives. Finally, we discuss appropriate study designs to evaluate TPI interventions that may strengthen the evidence for their effectiveness in real world practice settings.

This chapter of the book aims to achieve sustainability and productivity in light of the interaction between managers and engineers in a lean and agile supply chain management system in today’s organizations. The main innovation of this chapter is the use of the balanced scorecard (BSC) model and fuzzy analysis network process (FANP) to create a suitable platform for the realization of this interaction between managers and engineers and to identify exactly which expert system is ideal for the main purpose. Indeed, this chapter introduces its readers to the application of strategic management tools such as the BSC accompanied by FANP in the elements of supply chain management where data analysis of lean and agile networks in supply chain management can create a competitive advantage in the organization.

The Government of Eswatini (GoE) civil service wage bill has continued to rise in recent years. The personnel budget is still the largest single recurrent expenditure item in the budget in Eswatini. To control the civil service wage bill, the GoE introduced Lean Service Principle through Management Services Division (MSD). The civil service wage bill continues to rise despite the implementation of the Lean Service Principle. So far, there are no tangible outcomes that indicate that the principles applied have been effective in the reduction of the wage bill. Thus, this research aims to examine the question of why the Lean Service Principle failed to effectively slow the rampant growth of the civil service wage bill in the Kingdom of Eswatini. This study used the quantitative research approach to collect data on amounts spent on wages, the percentage increase of the wage bill for the period 2010–2017, and the percentage increase in the number of civil servants as per the Establishment Registers, 2010–2017. The study investigated the wage bill push factors, the shortcomings of the Lean Service Principle, and the Just-In-Time (JIT) Technique in the management and reduction of the GoE civil service wage bill. The study found the MSD has been applying the wrong methodologies in wage bill control, which has been evident in the continued yearly increase of the wage bill. The study recommends that the MSD should consider the utilisation of Human Resources Forecasting and Planning Techniques instead of using the Lean Service Principle and the JIT technique. This study will enable the Cabinet to make an appropriate decision on the mandate and future of the MSD, as there have been growing calls to disband the division due to the failure to reduce and/or control the wage bills as that is the core mandate of the division.

Manufacturers have experienced many stages of evolution and paradigm shift. The paradigm shifts from crafts to mass production, then to lean production, and finally to agile manufacturing (AM). Agility will reduce the time to market for appropriate products and services. Twenty-first century companies must meet a demanding customer base that will increasingly seek high quality, low-cost products adapted to their specific and continually evolving needs. It is time for companies to compete, and “push the boundaries” in response to delivery, product quality, and overall excellence in customer service and satisfaction. For addressing these challenges, a new way to manage businesses was proposed called “Agility,” AM is defined as the ability to survive in a competitive environment characterized by the continual and unpredictable changes, by responding effectively to the changing markets with products and services designed by the customer. This chapter presents a review of research related to the agility concept through an analysis of the variously proposed studies. This analysis was conducted based on a meta-model of three words (Agility, Management, and Organization).

Companies that adopt lean operations and lean accounting ultimately should achieve better profitability and cash flows than similarly situated companies that do not adopt lean operations and lean accounting.

Archival data is analyzed through Wilcoxon signed-ranks, matched-pairs tests.

Lean companies had greater returns on net operating assets (RNOA), returns on total assets (ROA), operating cash flows, and cash-adequacy ratios than Non-Lean companies. These results were driven by the larger Lean companies. The profit margins and financing-assets ratios also were marginally better for the Lean companies than the Non-Lean companies.

Lean companies have achieved benefits proposed by the proponents of lean operations. The present study provides a starting point for further research on the financial performance of Lean companies using archival data.

There is limited research on the financial performance of Lean companies that is based on archival data. The present study fills a void in the academic literature. This study measures RNOA, which does not confound operating and financing activities. Additionally, this study utilized a methodology that provides reasonable assurance of the identification of both Lean companies and Non-Lean companies from publicly available data.