Search results

The purpose of this paper is to present a process for managing project problem‐solving patterns. It focuses on shifting the emphasis of project teams toward a more collaborative and knowledge‐based style of dealing with challenges to project performance. The methods proposed in this paper encourage project managers to integrate processes for becoming more agile by tapping into lesson learned and knowledge gained to create higher quality solutions to problems.

This paper proposes a conceptual framework for recognizing problem‐solving patterns and transforming problem solving from an individual passive event to a more open, agile active, systemic process. Several actual case examples are provided to illustrate applications.

The paper examines how taking a more open approach to problem solving in projects leads to better solutions. The proposed method and lessons from actual cases offer support to these proposals.

The proposed models in this paper originate from the conclusions and observations drawn by the authors over many years of experience. However, they are not the product of a systematic research effort. This paper is intended to provide a new lens for project managers to view projects. It does not purport to declare findings of any research or analyze any sort of research.

The conceptual framework provided in this paper is a practical one derived from the practices used in leading companies. The paper provides practical guidelines to aid project managers in recognizing and managing problem‐solving patterns to create better solutions to problems.

Modern society is plagued by the effects of ineffective problem‐solving initiatives in business, government, and not‐for‐profit organizations. Flawed proposed solutions exact a toll on organizations, their members, and the constituents they serve. This paper proposes a way of improving the quality of problem‐solving processes that may benefit a broad scale of people.

The concept of a problem‐solving pattern and a typology of problem‐solving patterns presented in this paper, provide project managers with a new way of conceiving of how problem solving can be used to improve project performance and adaptability.

The paper aims to investigate how a tablet's design features, namely, its navigation design and visual appearance, influence users' enjoyment, concentration and control, when using tablets for problem-solving, and thereafter how their core flow experiences impact their perceived performance and efficiency with problem-solving.

This study uses a field survey approach to engage 87 participants in a decision sciences class to use eTextbooks and a few other associated educational apps including CourseSmart app for e-notes and highlighting, sketchbook app and a calculator app in tablets to resolve class problems at a large US university.

This study finds that the tablet's interface design features (navigation and visual appearance) make users engrossed in their problem-solving processes with perceived enjoyment, concentration and control. This, in turn, impacts their perceived performance and efficiency. Moreover, visual appearance plays the most significant role in arousing users' affective emotions (i.e. enjoyment), while interface navigation is crucial to engage users' deep concentration (i.e. cognition) and control for problem-solving.

Modern tablets are being used widely in various sectors. More in-depth user flow experience design associated with tablet use for problem-solving contexts should be further advocated in order to provide more engaging and meaningful flow experiences to users.

This study shows that the design of the tablet interface can engage users in problem-solving processes in both affective and cognitive ways. It provides valuable insights on tablet interface design for problem-solving.

This paper aims to evaluate the effect of knowledge overlap, search width and problem complexity on the quality of problem-solving in teams that use the majority rule to aggregate heterogeneous knowledge of the team members.

The paper uses agent-based simulations to model iterative problem-solving by teams. The simulation results are analyzed using linear regressions to show the interactions among the variables in the model.

We find that knowledge overlap, search width and problem complexity interact to jointly impact the optimal solution in the iterative problem-solving process of teams using majority rule decisions. Interestingly, we find that more complex problems require less knowledge overlap. Search width and knowledge overlap act as substitutes, weakening each other’s performance effects.

The results suggest that team performance in iterative problem-solving depends on interactions among knowledge overlap, search width and problem complexity which need to be jointly examined to reflect realistic team dynamics.

The findings suggest that team formation and the choice of a search strategy should be aligned with problem complexity.

This paper contributes to the literature on problem-solving in teams. It is the first attempt to use agent-based simulations to model complex problem-solving in teams. The results have both theoretical and practical significance.

It is understood that the personality traits and intelligence levels of the tourist guides directly or indirectly affect their ability to solve the problems they encounter on tours. This study aims to test whether emotional intelligence has an intermediary effect on the problem-solving skills of professional tourist guides with perfectionist personality traits.

Field research was conducted within the study to analyze suggestions on the interaction of variables on an empirical basis, and data were collected using interview, document review and survey technique. Thus, the mixed-methods approach was used in the study. Within the scope of this study in which 410 professional tourist guides were surveyed, a substantial part of the research data was obtained through the application of the survey technique. Besides, interviews were carried out with 12 professional tourist guides. The clues obtained by the qualitative study were transformed into hypotheses within the scope of the quantitative study, and the intermediary effect was tested.

A relationship between the main themes, sub-themes and codes was determined within the framework of the qualitative method. As a result of the mediation test, it has been revealed that emotional intelligence has an intermediary role in the relationship between perfectionism and problem-solving skills. According to the results of bootstrapping, the indirect effect of emotional intelligence on perfectionism and problem-solving skills was found out to be significant.

The study acknowledged that positive perfectionism, high emotional intelligence and problem-solving skills contributed to the professional tourist guides being willing to provide better service. In tune with the assumption that the more the quality of the tours carried out through agencies increases, the more satisfied tourists are; the study implicated that it would be advisable for agencies to prioritize the trainings provided for their tour guides to enhance their positive perfectionist, emotionally intelligent personalities and problem-solving skills. Given that professional tourist guides may create a positive country image with the quality service they provide, the significance of such trainings stretch beyond the benefits of such organizations.

Relevant variables were analyzed with a mixed method and applied on professional tourist guides.

Research has shown that the problem-solving skills of adults with a vocational education and training (VET) background in technology-rich environments (TREs) are often inadequate. However, some adults with a VET background do have sound problem-solving skills. The present study aims to provide insight into the socio-demographic, work-related and everyday life factors that are associated with a strong problem-solving performance.

The study builds on large-scale data of the Programme for the International Assessment of Adult Competencies (PIAAC) and gives insight into VET adults (N = 12,929) with strong problem-solving skills in 11 European countries.

This study introduces new knowledge with respect to the socio-demographic, work-related and everyday life background factors that contribute to successful VET adults’ problem-solving skills. The findings of the authors illustrate that a continuous process of development including non-formal and informal activity, as well as learning taking place at work, is associated with strong performance in problem-solving skills in TRE.

An important implication of this study is that this paper introduces novel knowledge for VET adults’ competences and can be used to support the development of VET adults’ problem-solving skills in TREs.

The study was conducted to explore new understanding about good problem-solvers in TREs with a VET background. The originality of the study derives from its focus on good problem-solvers in TREs related to a VET background. The findings can be used to create novel ways to enhance the development of VET adults’ problem-solving skills in TREs.

As a problem-solving tool, the kaizen event (KE) is underutilised in practice. Assuming this is due to a lack of group process quality during those events, the authors aimed to grasp what is needed during high-quality KE meetings. Guided by the phased approach for structured problem-solving, the authors built and explored a measure for enriching future KE research.

Six phases were used to code all verbal contributions (N = 5,442) in 21 diverse, videotaped KE meetings. Resembling state space grids, the authors visualised the course of each meeting with line graphs which were shown to ten individual kaizen experts as well as to the filmed kaizen groups.

From their reactions to the graphs the authors extracted high-quality KE process characteristics. At the end of each phase, that should be enacted sequentially, explicit group consensus appeared to be crucial. Some of the groups spent too little time on a group-shared understanding of the problem and its root causes. Surprisingly, the mixed-methods data suggested that small and infrequent deviations (“jumps”) to another phase might be necessary for a high-quality process. According to the newly developed quantitative process measure, when groups often jump from one phase to a distant, previous or next phase, this relates to low KE process quality.

A refined conceptual model and research agenda are offered for generating better solutions during KEs, and the authors urge examinations of the effects of well-crafted KE training.

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.

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 study aims at defining solvability at the cross‐roads of cybernetics and problem‐solving. The cases of solvability being focussed on are generated by intervention, and as a result, their approach encounters circular and undisciplinary solving problems. This is why definitions of the third‐order circularity and the undisciplinary framework are analytical and restrictive. The second part of the study is particularly concerned with the construction of an arguably cybernetic model of the solving process, and the formal requirements endorsing the research programme. Finally, far‐aiming conclusions are drawn referring to the epistemic consistency of the third‐order cybernetics and problem‐solving, in an attempt to unify these two, already converging, scientific endeavours.

This study examined the impact of perceived threat and cohesion on the ability of groups to solve problems in a situation of social conflict. The self‐reports and behaviors of 31 groups of college males were studied within a comprehensive, strategic simulation of intergroup conflict. The simulation was based on both a value conflict and an economic competition over scarce resources. A coding scheme for group problem solving was created based in part on Janis' seven symptoms of groupthink. Change scores were calculated over different points in time to assess the relationships among perceived threat, group cohesion, and dysfunctional group problem solving. Large increases in perceived threat were significantly related to decrements in problem‐solving effectiveness regardless of whether cohesion was stable or increased. Groups who reported high and increasing levels of cohesion experienced a decrement in problem solving regardless of the increase in perceived threat, while groups who showed small changes in cohesion demonstrated decreased problem solving under high perceived threat. The results were consistent with Janis' model of groupthink, and Fisher's eclectic model of intergroup conflict.