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Lean thinking and organizational culture

MBA, Executive Education, Post Graduate Diploma

The case details the adoption of lean thinking at K-Way, a contemporary technical textile manufacturer of outdoor apparel and accessories. The case covers the 12-year journey at K-Way, detailing the process and cultural improvements the company underwent. The case closes as Bobby, the General Manager at K-Way, thinks about his new challenges. The CEO of K-Way’s parent company, Cape Union Mart, wants Bobby to start devolving the lean thinking approach to other units within Cape Union Mart, in particular a newly acquired and under-performing children’s clothing business. Bobby is excited at the prospect, but simultaneously anxious about the work that still needs to happen at K-Way and more importantly, whether the organization is ready for his, and his key consultant-coach’s withdrawal as the primary “voices” of lean thinking. Would there be a reversal of progress in their absence and how can they counter this?

Understanding lean thinking as a management system and not a mere set of tools for waste reduction, while recognizing the importance of waste reduction. An understanding of how to entrench lean thinking in an organization after initial adoption with specific emphasis on the following: Kata and scientific thinking – what it is and how it can be employed; Hoshin Kanri/Strategy Deployment – what it is and how it can be used; Leader Standard Work, what it is and how it can be used. Consider responses for a company that has been on a lean journey for 10 years, with a focus on how (or if) lean leaders can withdraw from the operation.

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CSS: 9: Operations and logistics

This chapter provides an in-depth analysis of the cleanup and closing of the nuclear weapons facility at Rocky Flats (RF), Colorado, United States, which was completed 60 years ahead of schedule and $30 billion under budget. We demonstrate how the events leading to the successful completion of the project was an instance of generativity made possible by the Appreciative Intelligence of the project leaders and participants. At the end of the Cold War, production at RF was terminated and experts considered cleaning up of the dangerous facility technically impossible, risky, and impractical. Yet, working in collaboration with contractors, local officials, and community leaders, the RF team achieved extraordinary results. After the unprecedented cleanup, 4,000 acres were transferred to the U.S. Fish and Wildlife Service and became a national wildlife refuge. Generativity is an approach to life that directs our actions toward positive outcomes. For generativity to happen, stakeholders in the RF project had to care about the environment around them for innovative solutions to emerge. Instead of stagnation or blind acceptance of circumstances, they chose to reframe and find new ways to perceive situations facing them. This case study shows that individuals with high Appreciative Intelligent acknowledge present circumstances, choose to reframe, see possibilities for the future, and take the necessary actions to achieve them. They also expand their Appreciative Intelligence beyond their personal lives. At RF, despite the imminent closing of the plant, stakeholders generated socially responsible solutions and transformed a public liability into a community asset.

This paper is concerned with an online parameter estimation algorithm for nonlinear uncertain time‐varying systems for which no stochastic information is available.

The estimation procedure, called nonlinear learning rate adaptation (NLRA), computes an individual adaptive learning rate for each parameter instead of using a single adaptive learning rate for all the parameters as done in stochastic approximation, each individual learning rate being controlled by a meta‐learning rate rule for the sake of minimizing the measurement prediction error. The method does not require stochastic information about the system model and the measurement noise covariance matrices contrarily to the Kalman filtering. Numerical results about aircraft navigation trajectory tracking show that the method is able to estimate reliably time‐varying parameters even in presence of measurement noise.

The proposed algorithm is practically insensitive to changes in the meta‐learning rate. Therefore, the performance of the method is stable with respect to the tuning parameter of the algorithm.

The proposed NLRA method may be adopted for recursive parameter estimation of uncertain systems when no stochastic information is available. It may also be used for process regulation and dynamic system stabilization in feedback control applications.

Provides a method for fast and practical computation of parameter estimates without requiring to know the model and measurement noise covariance matrices contrarily to existing stochastic estimation methods.

The purpose of this paper is to present a maturity model developed to assess knowledge sharing (KS) for the Jordanian construction sector.

The research was conducted in three stages. The first stage consisted of the review of literature and documenting variables from the literature that highlight influence on KS in organizations. The second stage was designed for maturity model development by identifying the cultural factors that affect KS in the Jordanian construction sector through questionnaires and interviews. Factor analysis was used to find possible relationships between the cultural variables followed by semi-structured interviews. In the third stage the initial maturity model was refined through another set of semi-structured interviews.

The model presented in the paper includes three levels of maturity. The first level identifies whether the variable barely exists in company’s KS practices. The second level shows the occasional techniques which the company uses to increase KS activities. The final level demonstrates the importance of the variable in affecting KS as being fundamentally ingrained in the company’s vision, mission, strategy and operations.

The research has developed a model that can be used to measure the KS in an organization. Although the model has been applied to the construction industry, it can easily be modified to fit in the other sectors.

The purpose of this paper is to develop a measurement framework to evaluate the lean readiness level (LRL) and lean systems (LS) within Kuwaiti small and medium‐sized manufacturing industries (K‐SMMIs). A measurement framework which encompasses the quality practices related to LS (processes; planning and control; human resources; top management and leadership; customer relations; and supplier relations) is used to assess the quality practices in K‐SMMIs and determine whether they have the foundation to implement LS.

The authors conducted a comprehensive literature review, semi‐structured interviews with 27 senior managers, and a quantitative survey administered to 50 K‐SMMIs. The responses were entered into SPSS software to conduct a reliability test and independent sample t‐test.

The results indicate that current quality practices within K‐SMMIs are not very supportive towards LS. Many factors are revealed to affect K‐SMMIs with respect to LS, including language barriers, and deficiencies in aspects including quality workers in terms of education and skills; technology; government attention; know‐how regarding LS; market competitiveness; and urgency for adopting LS.

Very limited information is available on LS and QI in Kuwait. The LRL framework should be tested in small and medium‐sized manufacturing industries (SMMIs) that successfully use LS, in order to provide a benchmark. The study's findings can be used as an internal checklist prior to and during lean implementation.

This LS and LRL measurement framework relating to K‐SMMIs represents a unique effort in the area of lean management.

Knowledge-sharing (KS) for preventing identity theft has become a major challenge for organisations. The purpose of this paper is to fill a gap in the literature by investigating barriers to effective KS in preventing identity theft in online retail organisations.

A framework was proposed based on a reconceptualisation and extension of the KS enablers framework (Chong et al., 2011). A qualitative case study research method was used for the data collection. In total, 34 semi-structured interviews were conducted in three online retail organisations in the UK.

The findings suggest that the major barriers to effective KS for preventing identify theft in online retail organisations are: lack of leadership support; lack of employee willingness to share knowledge; lack of employee awareness of KS; inadequate learning opportunities; lack of trust in colleagues; insufficient information-sourcing opportunities and information and communications technology infrastructure; a weak KS culture; lack of feedback on performance; and lack of job rotation.

The research provides solutions for removing existing barriers to KS in preventing identity theft. This is important to reduce the number of cases of identity theft in the UK.

This research extends knowledge of KS in a new context: preventing identity theft in online retail organisations. The proposed framework extends the KS enablers framework by identifying major barriers to KS in the context of preventing identity theft.

This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague.

Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS).

The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts.

Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.

The purpose of this study is to investigate the role of motivation for knowledge sharing (KS) by assessing how four qualitatively different motivation types, as per self-determination theory (SDT), predict KS, its quality and its undesirable counterpart, knowledge withholding.

The study was carried out as a survey (n = 200) in an expert organization. The analyses were conducted using structural equation modeling.

Autonomous type of extrinsic motivation (identified motivation) was the strongest predictor of KS (in work meetings) and its quality, whereas the other motivation types (intrinsic, introjected and external) had no independent contribution to variance in KS. Knowledge withholding was negatively associated with identified and positively with external KS motivation.

Single organization limits the generalizability of the results. Future studies should further investigate the role of identified motivation for various KS behaviors.

The findings suggest that autonomy-supportive management practices known to facilitate self-determined behavior can improve KS. Fostering external motivation by incentivizing KS may be both ineffective and have undesirable consequences.

Few prior studies investigate KS motivation beyond external and intrinsic motivation or apply SDT to KS using SDT-based scales. This study distinguishes between four different motivation types and is the first to investigate their differential impact on KS and its quality. It is also the first to demonstrate the importance of identified motivation for KS. It further elucidates how the quality of KS motivation is reflected in knowledge withholding, an overall underinvestigated behavior.