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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 provide a theoretical account of how firms make choices between dynamic capability-based and ad hoc problem-solving approaches toward strategic change.

A model has been developed to answer the questions of how and under what conditions firms develop appropriate approaches to handle strategic change.

Drawing upon structural inertia theory (SIT) and the resource-based view (RBV), the model predicts that firms, regardless of their age and size, are more likely to adopt an ad hoc problem-solving approach to handle change in both highly dynamic and low-dynamic environments. However, in moderately dynamic environments, a dynamic capability-based approach may be more appropriate, depending on which theoretical logic (SIT or RBV) the decision is made.

The paper builds on the useful distinction made by Winter (2003) in terms of the ways to handle organizational change and extends the recent research on temporary vs sustainable competitive advantages to investigate how firms tackle strategic change within the contexts of both environmental dynamism and organizational attributes.

The National Intelligence Model, described as a ‘model for policing’, defines a process for setting priorities and a framework in which problem solving can be applied. Its strength is a systematic approach that demands standard products and consistent methods of working, which ensure high levels of ownership and accountability. The problem solving approach can also work within this framework. It provides techniques to assist in analysis and develops the tasking and co‐ordinating mechanism through multi‐agency partnerships, which can deliver more sustainable solutions.

While deficits for students with learning disabilities (LD) are prevalent in almost all aspects of mathematics, difficulty in the application and understanding of problem-solving tasks are much more challenging to remediate than computational and procedural skills. Given the complexities involved in authentic problem-solving activities emphasized in current mathematics standards and the inherent challenges presented to students with LD, the importance of using strategies and techniques guided by evidence-based practices is paramount. Yet, ineffective instructional strategies for problem solving are still widespread in both mathematics curricula and available teacher resources. In this chapter, we provide a description of a commonly used ineffective problem-solving strategy (i.e., the keyword strategy), an overview of the keyword research, and an explanation for its ineffectiveness. We conclude with a description of three evidenced-based problem-solving approaches and practices that significantly improve the mathematical performance of students with LD.

To date, many of the models and theories that seek to explain problem solving and decision making, have tended to adopt an overly reductionist view of the processes involved. As a consequence, most theories and models have proved unsuitable in providing managers with a practical explanation of the dynamics that underpin problem solving. A substantial part of a manager’s time is taken up with problem solving and decision making issues. The question of whether managers possess the necessary problem solving skills, or have access to “tools”, which can be used to manage different types of problems, has become an issue of some importance for managers and organisations alike. This paper seeks to contribute to the current literature on problem solving and decision making, by presenting a conceptual model of problem solving, which is intended to assist managers in developing a more holistic framework for managing problem solving issues.

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.

This analysis examines the influence of varying levels of consciousness on the problem solving effectiveness of chief executive officers (CEOs). Specifically, it applies the original work of Ken Wilber, considered one of the most important theorists in the field of consciousness studies of our time, to executive leadership. The paper proposes that as CEOs move to higher levels of consciousness, their problem solving capabilities become more effective for their situational contexts. The argument set forth is that CEOs at higher levels of consciousness will be more effective problem solvers for their organizations and experience greater levels of self‐fulfillment than CEOs operating at lower levels on the Spectrum of Consciousness.

The purpose of this paper is to examine how various policing innovations, including problem‐oriented policing, broken windows, intelligence‐led policing, Compstat, third‐party policing, and hot spots, could be integrated into the community policing philosophy.

The paper provides a definition of community policing and individually examines each policing innovation to determine how they fit within the community policing philosophy.

The findings suggest that various policing innovations are wholly compatible with the community policing philosophy and that incorporating these innovations into community policing may improve their overall utility and the likelihood of their adoption.

The paper highlights the need for new ideas in policing to be built into existing policing innovations rather than developed in isolation.

The findings have implications for how law enforcement agencies fundamentally approach their work and come to understand and use policing innovations and how they are developed by scholars.

The paper is valuable to scholars and police practitioners because it clarifies the community policing philosophy and unifies various ideas regarding policing under one framework.

The main objective of this study is to investigate the 7 new quality control or the 7 new management tools and their use in manufacturing organisations. This research investigates the understanding, knowledge of the tools and the level of application of the tools within the manufacturing sector. In addition, this paper aims to identify the benefits, challenges and critical success factors (CSFs) for the application of the 7 new quality control (QC) tools.

An online survey instrument was developed, and data collection was performed utilising a stratified random sampling strategy. The primary strata/clusters were formed by quality professionals working in all aspects of manufacturing organisations and functions. A total of 86 participants from different countries responded to the survey.

The main finding of this study is that 10% of participants within the manufacturing sector perceived that the 7 new QC tools could solve above 80% of organisational problems. Another relevant finding presented in this paper is that tree diagrams were the most utilised of the 7 new QC tools within the manufacturing sector. The least utilised tools are arrow diagrams. The common benefits of using 7 new QC tools in the manufacturing sector are helping people define, measure and analyse the problem areas or even prioritises them and providing some form of structure to the problem-solving efforts. This paper also revealed that the 7 new QC tools were most used in the manufacturing area but least utilised in the new products and research and development (R&D) functions. This work also presents a list of CSFs and challenges required to properly apply the 7 new QC tools in the manufacturing sector.

This study was just carried out in manufacturing organisations. It would be interesting to try and expand to services sectors and compare use within the services sector.

Authors understand that this is the very first empirical study analysing the use and understanding of the 7 new QC or management tools within the manufacturing sector. The results of this study represent an important first step towards a complete understanding of the applicability of these tools in continuous improvement programs on a global scale and the context in which they can be utilized.

This paper proposes to rethink the concepts of relevance and usefulness and their relation to the theory–practice gap in management research.

On the basis of the cognitive-linguistic relevance theory or inferential pragmatics, supplemented by insights from information science, we define relevance as a general conceptual category, while reserving usefulness for the instrumental application in a particular case.

There is no reason to hold onto the difference between theoretical and practical relevance, nor to distinguish between instrumental and conceptual relevance.

This novel approach will help to clarify the confusion in the field and contribute to a better understanding of the added value of management research.