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In this study, the authors unpack the micro-level processes of knowledge accumulation (experiential learning) and knowledge application (problem solving) to examine how task allocation structures influence organizational learning. The authors draw on untapped potential of the classical garbage can model (GCM), and extend it to analyze how restrictions on project participation influence differentiation and integration of organizational members’ knowledge and consequently organizational efficiency in solving the diverse, changing problems from an uncertain task environment. To isolate the effects of problem or knowledge diversity and experiential learning, the authors designed three simulation experiments to identify the most efficient task allocation structure in conditions of (1) knowledge homogeneity, (2) knowledge heterogeneity, and (3) experiential learning. The authors find that free project participation is superior when the members’ knowledge and the problems they solve are homogenous. When problems and knowledge are heterogeneous, the design requirement is on matching specialists to problem types. Finally, the authors found that experiential learning creates a dynamic problem where the double duty of adapting the members’ specialization and matching the specialists to problem types is best solved by a hierarchic structure (if problems are challenging). Underlying the efficiency of the hierarchical structure is an adaptive role of specialized members in organizational learning and problem solving: their narrow but deep knowledge helps the organization to adapt the knowledge of its members while efficiently dealing with the problems at hand. This happens because highly specialized members reduce the necessary scope of knowledge and learning for other members during a certain period of time. And this makes it easier for the generalists and for the organization as a whole, to adapt to unforeseen shifts in knowledge demand because they need to learn less. From this nuanced perspective, differentiation and integration may have a complementary, rather than contradictory, relation under environmental uncertainty and problem diversity.

We extend the classical garbage can model to examine how individual differences in ability and motivation will influence organizational performance. We find that spontaneous coordination provided by an organized anarchy is superior when agents are equally competent. The Weberian bureaucracy of planned coordination is effective when problems require specialist knowledge. However, errors in matching problems to specialized agents are a central challenge for bureaucracies. Actual organizations, therefore, combine elements of organized anarchies and bureaucracies. Heterogeneous motivation compounds coordination problems, but is usually less important than competence. Our findings point to matching and interactive learning as fruitful areas for further study.

The purpose of this paper is to provide empirical evidence of engineering knowledge creation in the context of product failure management, thereby extending knowledge about organizational learning and mindfulness to a largely unexplored context. The study addresses a gap in the literature by illustrating “engineering epistemology” as a critical knowledge asset that gives rise to superior problem solving – and potentially – superior business performance.

The authors conducted qualitative research based on phenomenological interviews with product engineers to generate a grounded theory about organizational knowledge creation. Rigorous analysis of narratives detailing the “lived lives” of problem solvers relied on a research protocol recommended by Corbin and Strauss.

The findings show that engineers' real‐world problem‐solving practices mirror Nonaka and Takeuchi's five phases of knowledge creation and the three stages of sensemaking in enactment theory, the genesis of Weick's notion of mindfulness. A synthesized model illustrates how a five‐step problem‐solving process facilitated by environmental conditions resulting in organizational learning is influenced by an “engineering epistemology”.

The sample was limited to engineers based primarily in the US Midwest. While the authors' methodology (grounded theory) was appropriate for theory generation, the results invite quantitative testing involving a larger and more diversified sample of engineers.

The paper highlights the social aspects of engineering problem solving that firms can optimize for effective problem investigation and higher organizational learning.

The paper conceptualizes problem‐solving teamwork as epistemic collaboration, with the often un‐optimized potential of generating organizational learning. It is, to the authors' knowledge, the first research to concentrate on modeling the dynamics of knowledge creation in an engineering problem‐solving context.

We propose that research on problem‐solving behavior can provide critical insight into mechanisms through which organizations resist learning and change. In this paper, we describe typical front‐line responses to obstacles that hinder workers’ effectiveness and argue that this pattern of behavior creates an important and overlooked barrier to organizational change. Past research on quality improvement and problem solving has found that the type of approach used affects the results of problem‐solving efforts but has not considered constraints that may limit the ability of front‐line workers to use preferred approaches. To investigate actual problem‐solving behavior of front‐line workers, we conducted 197 hours of observation of hospital nurses, whose jobs present many problem‐solving opportunities. We identify implicit heuristics that govern the problem‐solving behaviors of these front‐line workers, and suggest cognitive, social, and organizational factors that may reinforce these heuristics and thereby prevent organizational change and improvement.

The purpose of this paper is twofold: to identify and map contemporary research on advanced technology implementations for problem-solving purposes in the manufacturing industry, and to further understand the organizational learning possibilities of advanced technology problem-solving in the manufacturing industry.

This paper outlines a scoping review of contemporary research on the subject. The findings of the review are discussed in the light of theories of contradicting learning logics.

This paper shows that contemporary research on the subject is characterized by technological determinism and strong solution-focus. A discussion on the manufacturing industries’ contextual reasons for this in relation to contradicting learning logics shows that a Mode-2 problem-solving approach could facilitate further learning and expand knowledge on advanced technology problem-solving in the manufacturing industry. A research agenda with six propositions is provided.

The introduction of advanced technology implies complex effects on the manufacturing industry in general, while previous research shows a clear focus on technological aspects of this transformation. This paper provides value by providing novel knowledge on the relationship between advanced technology, problem-solving and organizational learning in the manufacturing industry.

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.

The aim of this study was to understand the relationship between organizational structure and lean implementation success and to explore the impact of a lean implementation on the development of employee problem-solving skills. Organizations that implement lean manufacturing strategies experience widely differing results, with unexpected outcomes for some organizations.

This study was conducted using qualitative research methodologies. Specifically, a case study was performed at an electronics manufacturer in the northwestern USA over a three-month time period. The researchers collected data from a variety of sources at the manufacturing site.

Two significant findings emerged. First, the lack of dedicated personnel for the lean implementation inhibited the widespread adoption of lean practices. Second, evidence supported the role of the lean implementation in positively affecting employee problem-solving skills.

This paper is relevant to most manufacturing organizations; however, lean implementations are likely as unique as the organizations themselves. Given that the study used a single-site case study, utilizing qualitative methods, additional research is needed to confirm the findings for a larger range of manufacturing organizations. The results do indicate, however, that an organization with fewer resources to dedicate to the lean effort may find the transformation process slow and may experience fewer performance benefits. Likewise, further empirical study would help strengthen the findings regarding the relationship between the lean implementation and noticeable improvement in employee problem-solving skills.

The literature stream for lean manufacturing provides examples of how lean implementations have not only noticeably affected tangible metrics related to profits and expenses but have also helped positively influence factors such as employee safety, morale and empowerment. For some organizations, considering the effect of these intangible factors before committing to a new manufacturing approach may prove useful. This study focused on exploring, in a much deeper way, through qualitative methods, how organizational structure can impact a lean implementation and how it ultimately acts as a catalyst for the increased development of employee problem-solving skills.

Applications for tracking and managing classroom behavior have become increasingly commonplace, thus making it possible to incorporate nonacademic data into collaborative problem-solving and school improvement. Whether or how these platforms might support such aims, however, is not known. Accordingly, this study explores practices involving these applications, focusing especially on problem-solving among educators and with students' families.

This comparative case study took place in three schools. In total, 34 semistructured interviews were conducted with teachers and school leaders. Analysis included qualitative coding as well as the development of within- and cross-case summaries.

Schools varied greatly when it came to using behavior management platforms as a part of problem-solving. At a basic level, it was not uncommon for educators to use behavioral data for classroom troubleshooting or check-ins with students and transactional communications with families. However, only two schools attempted to use behavioral data for more systemic, “big picture” problem-solving, such as to make discipline policies more equitable or to improve teacher practices. The richness of collaboration with families seemed especially shaped by how and how frequently data were shared (e.g. automated notifications and paper printouts).

Empirical research about behavior management applications has been limited and focused only at the classroom level. The present study contributes new knowledge about the school-level implications of these platforms, while also expanding conversations about how behavioral data may be incorporated into data-informed problem-solving. Implications for leadership and theory are also discussed.

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.

Extensive research has been done to measure the effect of personality and cognitive styles on creativity. However, an in-depth study is required to identify the impact of cognitive style and creativity on organizational problem-solving. The objective of this paper is to look into this lacuna and study the effect of cognitive style and creativity of leaders on their organizational problem-solving.

The study uses a survey-based design. Data have been collected from 90 middle and senior-level managers from a diverse range of industries. The authors assessed their proposed hypotheses by conducting statistical analysis using SPSS and SmartPLS.

The results of the study reveal that leaders, who've scored high on intuition feeling (NF) cognitive style and proactive creativity, are suitable for solving open type of organizational problems. On the other hand, NF type of leaders with “contributory creativity” are ideal for solving closed type of organizational problems. Further, leaders scoring high on intuition thinking (NT) and proactive creativity are suitable for solving open types of organizational problems. Interestingly, the combination of NT with expected creativity is not suitable for closed type of organizational problems. On the other hand, a leader scoring high on sensing thinking (ST) cognitive style is more prone to perform contributory creativity.

The study would help the human resource (HR) planning processes of an organization. It would assist HR professionals while recruiting, selecting or deploying employees for creative works within an organization. Therefore, the paper would be useful for HR managers, personnel, management development specialists, consultants and HR academicians.

The relationship among cognitive style, creativity and problem type has not been adequately explored in extant literature on leadership and organizational development. This study would thereby enrich the literature.