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The purpose of this paper is to take an in‐depth look at the differences in learning based on the nature of the process, analysing the influence of CEO perceptions of personal mastery, shared vision, environment and strategic proactivity on the learning level.

This investigation drew up a structured questionnaire to better understand how CEOs face learning issues. A series of χ², t‐tests, Harman's one‐factor tests, correlations, and regression analyses were used. The hypotheses are tested using data from 239 firms located in Spain.

This investigation shows the influence of CEO perceptions of several strategic factors and capabilities (personal mastery, shared vision, environment and strategic proactivity) in single‐ and double‐loop learning and the influence of this learning level on organizational innovation and performance. It adds theoretical and empirical arguments to the two main learning levels in the literature.

The research provides empirical evidence that: personal mastery and a stable environment have a positive and significant impact on the generation of single‐loop learning; personal mastery, shared vision, ambiguous environment and strategic proactivity have a positive and significant influence on the generation of double‐loop learning; and both learning levels affect the generation of greater organizational innovation and performance.

Through a survey of firm’s experiences with strategic alliances and a structural equation modeling approach, the aim of this study is to stimulate further interest in modeling and empirical research in the area of N-loop learning. Although the concepts of single-loop and double-loop learning, in particular, are well established in the literature, limited research has been directed toward their empirical validation and finer understanding.

Based on a large sample of technology firms, a MIMIC model is proposed and tested with respect to the development of collaborative know-how via the adoption and conduct of different structural choices on how to deploy strategic alliances (single-loop vs double-loop approach). Results are cross-validated.

Based on the results of two structural equation models, the findings support the fit of the proposed conceptual model and the notion that, overall, the greater the extent of double-loop over single-loop learning, the higher the level of collaborative know-how derived.

The call for the empirical investigation of N-loop learning is met by providing an example of survey-based research. The possible benefits of “double-loop” over “single-loop” learning are modeled and tested empirically.

This research examines the effects of the context on the relationship between work design, learning mechanism and total quality management (TQM). The exploratory study examines the differential effects in context on how human resources and their activities are strategically managed for achieving TQM. Two theoretical frameworks – activity theory and contextual learning theory – are concurrently used for analysis. Specifically, the manufacturing companies, the authors examine are (1) technology-intensive company which has bought technology from a global foreign establishment (MU1), (2) technology-intensive companies having their own technology (MU2) and (3) labor-intensive units (MU3) of varying organizational sizes.

This case study-based research consists of 27 in-depth interviews with managers and employees of different hierarchies in each manufacturing unit. The authors interviewed them using semi-structured questions that were pre-validated by five senior HR experts from the manufacturing industry. Document analysis, multiple site visits and website content helped triangulation. The data are coded and analyzed using Dedoose software for qualitative research.

Activity diagrams for each manufacturing unit provides task and interaction analysis. Within and cross-case analysis address complexity and challenges of contextual reality, influences on work design and learning mechanism. HRD executives must recognize that there may be well-differentiated learning behaviors that align with organizational strategy. The learning behaviors may not be well-differentiated and become very dynamic. This dynamism may be characterized by double loop and single-loop learning feeding into each other.

This study provides substantial practical implications for HRD and other managers in the manufacturing sector.

The new theoretical framework adds to organizational behavior studies through multi-level and cross-contextual approach. It informs strategic combinations and interactions between internal and external context, and learning needs implicating work design and TQM.

This paper aims to encourage greater clarity and stimulate further interest in thorough empirical research in the area of learning levels. The broader motivation here is to urge researchers to not only theorize but also undertake elaborate and much needed empirical work.

Part I of the study rests on a reflection and review of the literature concerned with “N-loop learning”, that is, the different hierarchical levels and stages of organizational learning.

The study provides some views and classification schemes on how to reconcile and think about different levels of learning. Some learning archetypes are identified that guide further reflection and elaboration on learning stages and hierarchies.

“N-loop learning” is introduced to encapsulate and systematize a vast array of views, models and levels of organizational learning. From zero learning and single-loop learning to quadruple-loop learning, a series of learning archetypes are presented. The case for a proper and clear nomenclature of learning levels is singled out. Finally, a strong case for empirical testing in this area is advocated.

This paper aims to develop a dynamic performance model of three-shaft gas turbine for electricity generation and to study a multi-loop control strategy of three-shaft gas turbine for electricity generation.

In this paper, the dynamic performance model of the three-shaft gas turbine is established and developed. A novel approach, variable partial differential coefficient deviation linearization method is used to simulate the dynamic performance of the three-shaft gas turbine. Single-loop control system, feed-forward feedback control system and cascade system are assessed to control the engine during transient operation.

A novel approach, variable partial differential coefficient deviation linearization method is used to simulate the dynamic performance of the three-shaft gas turbine. According to the results shown, the cascade control system is most satisfactory due to its fastest response and the best stability and robustness.

The method of variable partial linearization is adopted to make the dynamic simulation of the model achieve higher precision, better steady state and less computation time. This paper provides a theoretical study for the multi-loop control system of a marine three-shaft gas turbine.

A third-order discrete time sigma delta modulator (SDM) is proposed with optimum performance by addressing instability and power dissipations issues, and a novel SDM architecture is designed and verified in behavioural modelling in MATLAB/SIMULINK environment. Simulation results show that performance parameters of proposed modulator achieved SNR of 105.41 dB, SNDR of 101.96 dB and DR of 17 bits for the signal bandwidth of 20 kHz.

This paper describes single-loop SDM design with optimum selection of integrator weights for physiological signal processing in IoT applications.

The proposed discrete time modulator designed with 1-bit quantizer and optimum oversampling ratio proved as power efficient. Integrator scaling coefficients are generated in LabVIEW environment for pure third-order noise shaping.

This paper contains the novelty in the work, and it is suitable for cognitive Internet of Things applications.

This is a case study paper. A major research goal of this study is to extend the existing theories of learning organization put forth in the 4I model by adding more complicated ideas to it. One minor goal of this research is to show that the first stage of organizational learning, “intuiting”, is the hardest to implement when starting a learning organization. Particular attention should be paid to this step, and with the addition of adult learning theory, the possibility of facing a negative situation should be reduced. A second less important goal is to explain how to assess organizational learning, and how the flow of single‐ and double‐loop learning takes place within a learning organization.

This study adopted a combination of qualitative and quantitative survey methods to study the effectiveness of the new mode of transformational activity practiced in Firm A.

Statistical evidence showed that the practice was successful. It solved the issue that expertise and top managers mostly protest against learning.

This paper brings a new and more adaptive perspective for building a learning organization upon existing organizational learning theories. Through this case study, the integration and transformation from tacit knowledge to explicit knowledge, intuition to institution (the 4i model), and individual level to organizational level are illustrated. The practices of single‐loop and double‐loop learning are also well depicted by this study.

This paper attempted a novel approach for system-level modeling and simulation of sigma-delta modulator for low-frequency CMOS integrated analog to digital interfaces. Comparative analysis of various architectures topologies, circuit implementation techniques are described with analytical procedure for effective selection of topologies for targeted specifications.

Virtual instruments are presented in labview environment to analyze the correlation of circuit-level non-ideal effects with key design parameters over sampling ratio, coarse quantizer bits and loop filter order. A fourth-order single-loop sigma-delta modulator is designed and verified in MATLAB simulink environment with careful selection of integrator weights to meet stable desired performance.

The proposed designed achieved SNDR of 122 dB and 20 bit resolution satisfying high-resolution requirements of low-frequency biomedical signal processing applications. Even though the simulation performed at behavioral level, the results obtained are considered as accurate, by including all non-ideal and non-linear circuit errors in simulation process.

Virtual instruments using labview environment used to analyze the correlation of circuit-level non-ideal effects with key design parameters over sampling ratio, coarse quantizer bits and loop filter order for accurate design.

Introduces diversity management as managing the increased diversity of issues that confront humankind in contemporary organizational and societal affairs. Defines triple loop learning as being about the increase in the fullness and deepness of learning about the diversity of issues and dilemmas faced. Presents the contours of diversity management and triple loop learning. Sees the latter as the dénouement of single loop learning and of double loop learning. Provides a “quickmap” of the contours of diversity management and triple loop learning.

The aim of this paper is to describe the factors that contribute to understanding how collaboration improves performance in operating rooms (ORs) after introducing the concept of cross‐functional OR scheduling teams.

The concept was investigated at Radboud University Nijmegen Medical Center (RUNMC) in The Netherlands and used on an innovative path based on socio‐technical systems (STS) principles designed to address non‐routine tasks, variety, interferences and errors related to OR scheduling, with the aim of increasing both staff productivity and patient safety. The effects of implementing preoperative cross‐functional teams in the OR were compared qualitatively. The researcher observed all of the team meetings, available data and documentation, and 13 semi‐structured interviews were performed with team members for collecting additional data.

In the literature, it was found that the theory of socio‐technical systems and the fields of group dynamics and self‐managing teams fit the OR setting. The author applied six elements of these theories (setting common goals, cohesion, openness, single‐loop and double‐loop learning, feedback, and control options) to the aspects found in the study. The qualitative findings revealed that high‐performing teams were able to identify bottlenecks in order to improve continuity of care. The cross‐functional teams used several performance indicators to gain insight into their own performance. Consequently, through collaboration, these teams were able to minimise interference and therefore learn. Cross‐functional teams learned how to address interferences and improve their quality of service through improved collaboration and the improved use of control mechanisms.

This research highlights the importance of team‐based approaches and the need to improve collaboration between healthcare professionals.

The paper confirms the value of implementing the socio‐technical systems theory to improve collaboration between healthcare professionals. This case study is a valuable contribution, as it focuses on team‐based organisation in preparing an OR schedule.