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The purpose of this study is to investigate how soft lean practices moderate the performance effects of hard lean practices. The authors provide new evidence from the pharmaceutical industry, which is characterized by a highly regulated and technical environment and has been largely uncharted in the lean literature.

Based on a review of the literature, the authors define a set of soft and hard lean practices. The authors test the hypotheses using factor analysis and moderated hierarchical linear regression on a unique dataset containing survey data and real performance measures of 351 pharmaceutical plants.

The results show that soft lean practices can be both enabling and constraining. When management engages in performance measurement, visualisation and employee empowerment the relationship between hard lean practices and performance is positively moderated. On the other hand, when managers emphasise goal setting and work standardisation the performance outcomes are reduced.

Effective lean managers build organisational commitment by motivating other employees to implement lean. They use performance measurement, visualisation and employee empowerment to focus on the “why”. Less effective managers engage in commanding and micro-management. Such managers focus on the “what” by using practices like goal setting and work standardisation.

This article contributes to the literature on lean management by empirically testing the moderator-variable interaction effects between soft and hard lean practices. In addition, it adds new evidence from the important pharmaceutical industry.

This paper aims to examine the relationship between the implementation of soft lean practices and organizational resilience development in the service sector.

A mixed-methods explanatory design that relied on two sequential and complementary phases was adopted. In the first phase, a quantitative analysis was performed based on data collected from practitioners from service organizations, allowing the identification of the significance of this relationship. In the second phase, the authors used semi-structured interviews with experts to qualitatively assess how this relationship occurs.

Findings indicated that soft lean practices are positively associated with organizational resilience, although the extent of their relationships varies depending on the resilience ability under analysis. Interviews with experts also provided specific details on how such relationships occur, adding insights to the numerical results.

This study provides a deeper understanding of the implications of lean management, specifically concerning the support of soft lean practices to develop organizational resilience. Additionally, the identification of this relationship (and how it occurs) allows service organizations to deploy human-related strategies to promote broader adoption of certain soft lean practices. As socio-cultural changes are usually time-consuming, anticipating these organizational resilience needs may result in competitive advantages in the face of disruptive events.

Lean has shifted over the years from a set of tools to implement to a human-centric approach concerning both hard and soft factors. However, there is a limited research on these soft factors and how they influence companies performance and social outcomes on the one hand and how they enable the hard factors on the other hand. Taking this as a valuable opportunity, the purpose of this paper is to present the key motivating factors and key gaps in the literature as an agenda for future research.

A systematic methodology to identifying the literature on social outcomes and factors in Lean is presented. Web of Science, EBSCO, Emerald, Science Direct, Google Scholar and the top journals were searched, and 158 papers were identified.

The systematic review helped the authors to identify the evolution, current trends, research gaps and an agenda for future research for exploring social outcomes in Lean and the factors mediating them. These factors are grouped and presented.

The implications of this work include understanding for managers and professionals how both soft and hard factors in Lean are related and that for a sustainable implementation, the whole system must be observed. This work could serve as a valuable resource that depending on the execution of Lean, either positive outcomes will emerge or even negative outcomes, referred to as “The Dark Side”.

This paper presents an extended survey on the factors in Lean mediating both companies’ performance and social outcomes. The authors also believe that this is possibly the most comprehensive systematic literature review on the topic and will set the foundation for various research avenues based on the key findings of this study.

Modern manufacturing systems require tools and techniques that take cognizance of the social (concerning people and relations) as well as the technical environment. The purpose of this paper is to explore the relationship between the social and technical aspects of lean manufacturing practices and their effects on business performance outcomes.

The hypothesized relationships for this study are tested with data collected from 148 Indian manufacturing firms by using SPSS and AMOS statistical software.

The analysis of the study was conducted using structural equation modeling (SEM) technique, which indicated that both “soft” and “hard” lean practices are positively related to business performance parameters. The findings also demonstrated that “hard” lean practices fully mediate the relationship between “soft” lean practices and business performance parameters.

There are some limitations of this study. Although a cross-sectional survey has been applied, the research does not permit us to account for the lag between implementation and performance. It also brings the opinion of a limited number of Indian experts about lean manufacturing systems; hence, the sample size could be increased and the nationality of the respondent could be expanded for future research.

The paper would be of interest to Lean practitioners, and the results of this study can be used in organizations to put a focus on social-cultural changes while applying lean technical tools when it comes to practices as well as importance.

This paper extends theoretical contribution in production and operations management literature, highlighting how social and technical practices have to interact to enable a successful lean manufacturing implementation.

The purpose of this study is to investigate the perceived effects between soft management practices, employee behaviours and the implementation of digital technologies in manufacturing plants, as well as how these relate to the emergence of digital waste.

This paper uses case-based research. Data was collected in two large manufacturing companies based in Norway and Sweden through semi-structured interviews with two management representatives and four shop-floor employees. The data was used to evaluate 29 variables describing lean- and total quality management (TQM)-associated employee behaviours and soft management practices, in light of digital transformation.

The results suggest that several variables were positively influenced by the digital transformation process. These were top management leadership, middle management involvement, employee education, corporate social responsibility focus, innovation, knowledge sharing, work-family balance, psychological capital, job satisfaction and career commitment. Training employees, creativity, discretionary effort, turnover intention and proactivity appear to be negatively influenced by digital transformation The findings also indicate that several soft management practices and employee behaviours were not only influenced by manufacturing digitalization but also themselves influenced the process. The potential for digital waste creation was also detected in several variables, including reward and recognition and training employees.

Managers, practitioners and academics may learn about the importance of certain managerial practices and employees’ behavioural needs during the digital transformation process. The findings may help in prioritizing TQM and soft lean management practices and certain employee behaviours during the digital transformation and in creating awareness of digital waste.

This study builds on several existing studies discussing the impact of digital transformation on soft management practices and employee behaviours. It provides insights from a lean and TQM angle and offers a means of prioritizing certain practices and behaviours during a digital transformation. This study also highlights the significance of digital waste.

This research aims to examine the relationships among leadership and culture, human resources and process improvement in lean hospitals from the socio-technical perspective.

The survey instrument was developed from literature reviews, verified by experts and confirmatory factor analysis. Multiple responses were used to collect data from 473 care providers in 220 outpatient departments of Thai hospitals to improve reliability of the obtained data. Path analysis of structural equation modeling was applied to analyze the hypotheses.

It was found that human resources has a significant positive direct effect on process improvement. Leadership and culture not only has significant direct positive impacts on human resources and process improvement but also has a significant indirect positive impact on process improvement through human resources.

This is one of the first examples of research to present insights into the links between soft and hard factors of lean hospitals at strategic and operational levels.

This study aims to investigate the impact of traditional teaching and active learning methods in lean management (LM) on the development of both soft and hard skills.

Through a longitudinal study, team members from two different organisations (the administrative sector of a public higher education institution and a public teaching hospital), each adopting different teaching methods to support their LM trainings, were systematically examined at four moments during an 18-month period. How teaching methods impacted team members’ development and knowledge was then assessed using multivariate data analysis techniques.

Results indicated that LM trainings can provide significant impacts when a combination of traditional teaching methods and active learning is adopted. Traditional teaching methods can be a good choice for learning hard skills depending on resources’ availability. However, it is recommended to include active learning methods to assist in the comprehension of more complex and abstract LM concepts (soft skills).

Although there exists a large number of publications on the relationship between LM implementation and teaching methods, the number of studies that consider the development of both hard and soft skills is rather limited. This study complements the existing literature on LM by identifying which teaching methods can support the development of hard skills and which the development of soft skills. Such identification facilitates the work of both scholars wishing either to begin or to dig deeper into this sphere and practitioners pursuing the best outcomes from LM.

Extant research documents the importance of lean thinking for organizations, however, as prior research has largely focused on hard lean practices, but little is known about the effects or the significance of soft lean practices. This research attempts to address this issue by examining how soft lean practices enhance organizational lean readiness, and in turn increase the success of lean implementation.

This research adopts a single case study design in a small-medium enterprise livestock feed manufacturing organization, and investigates the period from late 2011 through the end of 2019 covering two attempts at lean implementation – an initial failed attempt followed by a successful introduction of lean within the case organization. The research analyzes interviews with 29 managers and employees from all organizational levels and departments within the case organization. Secondary data including organizational documents and performance measures and metrics were also incorporated into the research design.

Drawing on agency theory, the authors advance a principal-agent interaction perspective to conceptualize organizational lean readiness – specifically, the authors consider the “state or condition” of four agency factors (goal conflict, information asymmetry, risk aversion and length of relationship), and explore if these four agency factors can be utilized as proxies for organizational readiness for lean implementation. The authors identify the formation of a shared vision and identity within the organization as an effective mechanism through which soft lean practices enhance organizational lean readiness. Finally, the analysis offers an understanding of how the long-term success of lean implementation is improved by the introduction of soft lean practices as a prerequisite to create organizational readiness for the implementation of hard lean practices.

The study is unique in the sense that it empirically links agency theory and the role of soft lean practices in developing organizational lean readiness in a small-medium enterprise context by defining the ideal state of four agency factors as proxies for organizational readiness.

The study aims to explore how lean research and development (R&D) tools and techniques (T&T: i.e. R&D hard practices) affect the relationship between lean R&D soft practices and organization performance within R&D-based manufacturing firms in Malaysia.

The current study is a quantitative study that utilized an online survey questionnaire for data collection. Data were collected based on a cross-sectional survey of R&D managers from 102 R&D-based manufacturing firms in Malaysia. Structural equation modeling (SEM) was used to test the impact of lean R&D soft and hard practices on firms' performance.

As per the study findings, it was determined that T&T of lean R&D was significant mediator in the relationship between lean R&D soft practices (i.e. managerial practices, transformational leadership, financial capability and supplier involvement) and R&D firms' performance.

The study delivers an important message to R&D companies that lean practices could be applied in R&D environments to drive organization performance.

The study extends the knowledge regarding lean principles and framework beyond the domains of production and services. The study offers new conceptual contribution in term of lean principles and framework in R&D environments by introducing the role of lean R&D tools and technique to enhance the effects of lean R&D practices on organization performance.

Although lean popularity is rapidly growing, its implementation is far from problem-free and companies may experience difficulties in sustaining long-term success. On this premises, the purpose of this paper is to understand to what extent human factors, affected by the implementation of both hard (defined as technical and analytical tools) and soft (concerning people and relations) lean practices, play a key role in achieving long-term superior performance.

The analysis of the relationships between lean practices implementation, human factors and operational performance is carried out in a single exploratory case study. A retrospective approach is adopted to trace the changes of human and operational performance before, during and after the introduction of lean management (LM) implementation. In particular, a mixed method concurrent design merging results of a qualitative analysis with data collected from a survey is selected to provide a more realistic benefit in the exploration of the proposed research questions.

The results show a short-term direct relationship between the implementation of lean practices (hard and soft) and physical work environment and job characteristics, directly connected to operational outcome. In the long term, operational performance is influenced by employee behaviour outcome and conditioned by physical work environment and job characteristics with the mediating effect of individual characteristics.

The proposed model supports the building of a roadmap for LM implementation, taking into account the role of the human factors to achieve superior operational performance. Moreover, it helps managers to implement a monitoring system to check how social and technical components of a LM system evolve over time. Finally, it supports the definition of specific training programs, tailored for specific workers’ types.

This paper extends theory in LM, highlighting how hard and soft lean practices have to interact to enable a successful LM implementation.