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Adopting the dynamic capability perspective, this study aims at exploring which problem-solving capabilities result in fundamental solutions with a potentially low likelihood for problems to recur. This can also shed light on why, despite many attempts, process improvement programs often fail to produce such long-term solutions.

A case study is carried out to inductively describe and classify problem-solving in companies and to indicate why problem-solving efforts are typically bounded to short-term solutions. The empirical findings are triangulated with findings from the extant literature.

First, the authors propose three problem-solving modes with different characteristics and potential impacts on operational performance: intuitive problem-solving, semi-structured problem-solving and systematic problem-solving. Second, by emphasizing dynamic capabilities' micro-foundations and with the focus on learning mechanisms, the authors show that, among these modes, only systematic problem-solving can serve as a dynamic capability with fundamental solutions. Third, based on insights from the case study, the authors address behavioral and organizational impediments that curb dynamic capabilities and limit systematic problem-solving adoption.

This study is an empirically informed attempt to understand systematic problem-solving as a dynamic capability. The authors uncover the micro-foundations and the learning mechanisms through which systematic problem-solving becomes a dynamic capability. By highlighting problem-solving orientation as a hardly investigated dimension of improvement programs, the authors show that a mixture of a static problem-solving approach and a set of impediments at both individual and organizational levels is the major reason of failures of improvement programs over time.

This study aims at determining the factors that favor a systematic approach to deal with complex operational and strategic problems. Management literature on problem-solving makes a clear distinction between either fixing a problem temporarily by eliminating its symptoms or solving it by diagnosing and altering underlying causes. Adopting a cognitive perspective of the dual-processing theory, this study labels these two approaches intuitive problem-solving and systematic problem-solving (SPS). While the superior effectiveness of SPS in fostering organizational learning is widely documented, existing literature fails to provide an overview of the conditions that support the adoption of SPS.

This paper presents a systematic literature review to shed light on the main supporting factors of SPS in operational as well as strategic domains.

Seven supporting factors of SPS (namely, nature of the problem, time availability, information availability, collaborative culture, transformational leadership, organizational learning infrastructure and environmental dynamism) are first identified and then discussed in an integrative model.

This work is an original attempt to inclusively address organizational, environmental and problem nature-related factors that favor SPS adoption. By determining the SPS supporting factors, this study highlights why many organizations fail or struggle to implement and sustain SPS over time.

The purpose of this paper is to discuss improvement of the business of health care delivery through the application of systematic problem solving. This was strengthened by recurrence prevention through standardization at every level transforming into culture.

The methodology utilized is set derived from the true fiber and fabric of Toyota, the Toyota Business Practice (TBP) or eight-step problem solving and its translation into health care thinking by aligning to the process of clinical diagnosis of patients. The methodology that gives energy and direction to TBP is Hoshin Kanri, a Japanese approach to strategic planning. When you combine focus and purpose through strategic direction alongside a culture of systematic problem solving you get results.

The application of the Toyota mindset resulted in a cultural shift which built on the strength of the current organizational culture. This approach had a broad impact on the program impacting leadership and management roles, improved employee engagement, complete visibility of organizational priorities, improved system performance, visibility and awareness of the vision and defined measures that drive the health care system. This has also resulted in cost diversions of approximately five million dollars CDN.

A grass roots application of real-time problem solving through strategic alignment.

Discusses the keys to successful total quality management and how total quality management is accomplished. Explains the results of Kepner‐Tregoe′s research into the conditions for successful quality improvement. Describes the total quality management process at the Baxter Healthcare plant in Mississippi, USA. Asserts that the quality leadership process at the plant exemplifies total quality management. Contends that quality problem solving plays a key role in TQM. Concludes that the organization needs a commitment to quality, problem solving skills to achieve it, and the opportunity to use them.

This paper investigates how manufacturers can develop a learning-to-learn capability for enabling Industry 4.0 adoption.

This research design is guided by our research question: How can manufacturers develop a learning-to-learn capability that enables Industry 4.0 adoption? The authors adopt action research to generate actionable knowledge from a two-year-long action learning intervention at the Danish rooftop window manufacturer VELUX.

Drawing on emergent insights from the action learning intervention, it was found that a learning-to-learn capability based on lean was a core construct and enabler for manufacturers to adopt Industry 4.0 successfully. Institutionalizing an organizational learning scaffold encompassing the intertwined learning processes of systems Alpha, Beta and Gamma served as a significant way to develop a learning-to-learn capability for Industry 4.0 adoption (systematic problem-solving abilities, leaders as learning facilitators, presence of a supportive learning environment and Industry 4.0 knowledge). Moreover, group coaching is a practical action learning intervention for invoking system Gamma and developing leaders to become learning facilitators – an essential leadership role during Industry 4.0 adoption.

The study contributes to theory and practice by adopting action research and action learning to explore learning-to-learn as a core construct for enabling Industry 4.0 adoption and providing a set of conditions for developing a learning-to-learn capability. Furthermore, the study reveals that leaders are required to act as learning facilitators instead of relying on learning about and implementing Industry 4.0 best practices for enabling adoption.

The various quality improvement (QI) frameworks and maturity models described in the health services literature consider some aspects of QI while excluding others. This paper aims to present a concerted attempt to create a quality improvement maturity model (QIMM) derived from holistic principles underlying the successful implementation of system-wide QI programmes.

A hybrid methodology involving a systematic review (Phase 1) of over 270 empirical research articles and books developed the basis for the proposed QIMM. It was followed by expert interviews to refine the core constructs and ground the proposed QIMM in contemporary QI practice (Phase 2). The experts included academics in two academic conferences and 59 QI managers from the New Zealand health-care system. In-depth interviews were conducted with QI managers to ascertain their views on the QIMM and its applicability in their respective health organisations (HOs).

The QIMM consists of four dimensions of organisational maturity, namely, strategic, process, supply chain and philosophical maturity. These dimensions progress through six stages, namely, identification, ad-hoc, formal, process-driven, optimised enterprise and finally a way of life. The application of the QIMM by the QI managers revealed that the scope of QI and the breadth of the principles adopted by the QI managers and their HOs in New Zealand is limited.

The importance of QI in health systems cannot be overstated. The proposed QIMM can help HOs diagnose their current state and provide a guide to action achieving a desirable state of quality improvement maturity. This QIMM avoids reliance on any single QI methodology. HOs – using the QIMM – should retain full control over the process of selecting any QI methodology or may even cherry-pick principles to suit their needs as long as they understand and appreciate the true nature and scope of quality overstated. The proposed QIMM can help HOs diagnose their current state and provide a guide to action achieving a desirable state of quality improvement maturity. This QIMM avoids reliance on any single QI methodology. HOs – using the QIMM – should retain full control over the process of selecting any QI methodology or may even cherry-pick principles to suit their needs as long as they understand and appreciate the true nature and scope of quality.

This paper contributes new knowledge by presenting a maturity model with an integrated set of quality principles for HOs and their extended supply networks.

Short-term problem solving during production launch may result in extended lead times and increased overall costs of new product development, thereby reducing the overall profitability of a new product. While the previous literature suggests formalized procedures and systematic problem solving approaches, empirical analyses indicate improvised, non-systematic, and ad hoc responses actually being used in firms’ real world problem solving processes. The purpose of this paper is to explain the role of such non-systematic approaches for the efficiency and effectiveness of problem solving processes during production launch.

The paper empirically explores the impact of improvisational problem-solving behavior on a firm's production launch efficiency and on the success of new products. Moreover, the paper investigates the moderating role of technology familiarity, project complexity, and the number of occurring problems during production launch.

The paper finds evidence for a positive curvilinear effect of improvisational problem-solving behavior on new product success and production launch efficiency. Additionally, the paper finds that improvisation is especially reasonable in complex and familiar projects or in the case of many unplanned changes during production launch.

The study provides evidence for the relevance of routinized and improvisational behavior during production launch.

Improvisational behavior decreases the performance of the production launch and the financial performance of a new product in the case of frequent product changes or complex projects.

For the first time behavioral theory is applied to the phenomenon of production launch and problem solving.

Toyota's success in the automotive industry has been attributed to many factors, one of which is their systematic company‐wide problem‐solving approach. While Toyota's structured framework for thinking through problems may offer some interesting insight, it is speculated that how they develop and train their managers to share this thinking with their employees is the key to implementation. The purpose of this paper is to share these issues.

This work utilizes a new and novel technique to examine how Toyota trains and develops their managers to support problem solving. A form of data mining will be used in this research combined with Singular Value Decomposition to mathematically analyze organizational documents from Toyota.

The findings of this research show that the role of management is essential to the successful application of problem solving at Toyota. Results indicate that managers are trained to provide more intense coaching early on the front end of problem solving, specifically in step 2 problem breakdown, so that decision making and involvement of employees can occur more naturally in developing countermeasures.

This research method is solely based on mathematical and statistically analysis of organizational documents to reveal important and latent criteria critical for effectiveness.

This paper provides new insights and understanding of Toyota's 8‐step problem‐solving process. The role of management has been identified as an essential element in coaching and developing employees in the implementation of a company‐wide, systematic problem‐solving methodology.

The purpose of this paper is to examine empirically why a systematic problem-solving routine can play an important role in the process improvement efforts of hospitals.

Data on 18 process improvement cases were collected through semi-structured interviews, reports and other documents, and artifacts associated with the cases. The data were analyzed using a grounded theory approach.

Adherence to all the steps of the problem-solving routine correlated to greater degrees of improvement across the sample. Analysis resulted in two models. The first partially explains why hospital workers tended to enact short-term solutions when faced with process-related problems; and tended not seek longer-term solutions that prevent problems from recurring. The second model highlights a set of self-reinforcing behaviors that are more likely to address problem recurrence and result in sustained process improvement.

The study was conducted in one hospital setting.

Hospital managers can improve patient care and increase operational efficiency by adopting and diffusing problem-solving routines that embody three key characteristics.

This paper offers new insights on why caregivers adopt short-term approaches to problem solving. Three characteristics of an effective problem-solving routine in a healthcare setting are proposed.

The purpose of this paper is to explore the efficacy of 40 inventive principles of TRIZ for developing researchers' innovative capabilities and to evaluate the extent of application of “40 inventive principles” by inventors in the Research Center of Intelligent and Signal Processing (a successful research center that is producing new products in the field of signal processing and medical engineering).

A range of relevant literature is explored initially. A questionnaire about 40 inventive principles of TRIZ was developed based on literature review. Finally, a data analysis including descriptive statistics, correlation and regression analysis was designed by using SPSS software.

The results showed that about 71 percent of the researchers have employed TRIZ above the average in their innovative products. Also these studied researchers used TRIZ principles unintentionally. Therefore, if this research center and similar institutes want to make full use of their researchers' abilities, they can facilitate innovation through offering courses on TRIZ, the principles of TRIZ and its other tools to them.

This study is probably the first to provide an exploring of TRIZ inventive principles applications through a research center.