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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.

The Process of Third Party Intervention We cannot of course consider or examine the skills of any role in a vacuum. In the case of a mediator we have little experience to use as a basis as we are to some extent advocating new departures from existing practice. We must therefore consider a wide range of current practices and carefully examine the extension of present experience. Industrial relations mediation has traditionally used only a limited range of skills extensively and thoroughly as an examination of the following conciliation process shows. These are nevertheless basic and integral to the mediation process.

There is a pressing need to develop community forensic support for adults with intellectual disabilities and a high risk to others. Equipping youth to help one another (EQUIP) was developed for juvenile offenders in the USA and is used across Europe and North America. The purpose of this paper is to evaluate an adapted community model of EQUIP for men with intellectual disabilities and a history of sexual offending.

A case series design was used. The adapted EQUIP group ran for one session per week over ten months, with each participant accompanied by a support worker. Six men living in the community with intellectual disabilities and a history of sexual offending completed the programme.

Analysis of the results suggests that this adapted version of EQUIP produced similar results to the programme delivered in an inpatient setting. Participants’ reasoning and problem-solving abilities were improved post-intervention. Satisfaction levels from participant and their support workers were high. There was no evidence of recidivism during the ten months the group ran.

The case series design utilised only allows the conclusion that the changes above occurred at the same time as the group. Further research is needed to ascertain whether it is likely that the intervention resulted in the changes.

There is a pressing need to develop the evidence base for interventions offered in the community to people with intellectual disabilities and a history of offending. This study provides some evidence that EQUIP can be adapted to suit this population.

The availability of community interventions may, over time, decrease the need for detention in inpatient settings. This is in line with the transforming care agenda.

This is the first published research into use of EQUIP in the community with adult participants with intellectual disabilities.

Many scholars analyse networks and learning to understand how individuals successfully create and manage new ventures. Based on the assumption that entrepreneurs learn from networks, the purpose of this paper is to examine which types of difficulties encourage entrepreneurs to use networks to facilitate learning, whether entrepreneurs change networks to deal with such difficulties, and which network characteristics facilitate learning.

Networks are considered a potential source of learning, namely, the cognitive process of acquiring and structuring knowledge, creating meaning from experience and generating new solutions from existing knowledge. Through networks, entrepreneur share information and discuss opportunities and problems. Using an innovative approach combining story telling and network mapping, this study analyses how entrepreneurs use networks in learning. The data collected from six entrepreneurs working in knowledge-intensive sectors enables examining the learning process ensuing from the interactions between entrepreneurs and their contacts.

The findings show that entrepreneurs construct different types of networks in response to their difficulties, not in relation to products or technologies, but to learn to overcome self-crises, external threats, management and organisational issues. The findings reveal that entrepreneurs develop networks dominated by strong ties for exploitative learning and networks dominated by weak ties for explorative learning.

This study contributes to literature on networks and entrepreneurial learning. More specifically, the study provides evidence of learning in the context of networks, which is a relatively overlooked area in entrepreneurship literature, identifying the role of difficulties in determining the type of learning through networks and the related mechanisms.

As part of the EFOP-3.3.3-VEKOP-16–2016-00001 “Museum and Library Development for All” project, a national representative digital literacy survey was conducted in Hungary's public libraries at the end of 2019. The aim of the present study is to provide a deeper analysis of the data collected during the survey to answer the question of the role of gender and age in the development of digital skills amongst librarians working in public libraries. This study was designed to answer the following four research questions: Are there levels of proficiency defined by DigComp 2.1 that are more specific to men or more specific to women? Are there areas of competence and competences that are clearly perceived as stronger or weaker for men or women? Are there areas of competence that are clearly influenced by age and others that are not or only moderately influenced by age? Which competences are clearly age-related, and which are not or only slightly affected by age?

The main target group of the study were library professionals working in county libraries. The survey, based on the DigComp 2.1 (Gomez et al., 2017) framework, was conducted using an online questionnaire in the form of a self-assessment and explored four levels of digital literacy. A 30-question questionnaire was completed by 1,868 respondents. The sampling procedure was essentially stratified sampling. The large number of respondents and the sampling procedure combined with the representativeness of the sample meant that the results of the survey can be considered as generalisable to the whole Hungarian public library sector.

Of the five competency areas assessed by the DigComp framework, librarians were found to be most competent in information and data literacy, and least competent in content development, according to the proportion of those with basic skills. 32 percent of women and 22 percent of men working in libraries rated their digital skills as basic, and both groups were weak or less weak in the same skills, with a few exceptions. At the intermediate level, there is a predominance of women. In the information and communication competency areas and in the content development and integrating and re-elaborating digital content in the content creation area, a high proportion of women consider their digital skills to be medium. Relatively few men rate their own competence in these areas as average. They are most likely to have advanced and highly specialised skills. The advanced level in DigComp2.1 implies, in addition to strong digital skills, the willingness and ability to help others, while the highly specialised level requires innovative and creative use of digital technology and knowledge transfer. These top two skill levels are more common amongst men. 34 per cent of men and 27 per cent of women have advanced skills, while 13 per cent of men and 6 per cent of women have highly specialised’s level. The age of librarians has only a minimal influence in certain areas of competence and for certain competences. Skills in the information and data literacy competency area are less age sensitive. For the data management competency, which requires more technological skills, a stronger correlation between age and skill levels is observed, especially for basic and highly specialised skills. In the communication competence area, the youngest age group of librarians has the highest percentage of advanced and the lowest percentage of basic level. The proportion of advanced learners decreases steadily as age groups progress and the proportion of basic learners increases at a similar steady rate. The effect of age on the content creation is much more modest than expected. Age clearly has an impact on the safety competence area. As age increases, the proportion of those at advanced level decreases and the proportion at basic level increases. Age also has a significant effect on the problem-solving competence area. One in two librarians in the 50 and 60s have only basic level skills, compared to one in four in the youngest age group and one in three in the 40s.

Using the DigComp 2.1 framework, a digital competence survey of a whole professional group of library professionals working in public libraries in Hungary was carried out. The study provides new insights into the impact of gender and age as variables on digital competence.

Self-regulation does not only play a pivotal role in coping with job demands and major life events, but also shapes personality development in a way that builds protective resilience, integrative abilities in holistic processing of negative and positive experiences, and autonomous functioning. Therefore, in facing setbacks and failures, intrapsychic self-regulatory mechanisms determine recovery and learning processes, in order to stabilize well-being and ensure psychological functioning. In the present chapter, the author will focus on such self-regulatory mechanisms, which influence coping processes after experiences of failure and setbacks at work. In doing so, the author draw from the Personality–System–Interaction Theory, which provides in-depth insights into different motivational and volitional processes of self-regulation. Firstly, the author elaborates on inter-individual differences in self-regulation, which can be conceptually distinguished into action and state orientation. Whereas state orientation impedes effective coping with setbacks and failures, action orientation enables building resilience and goal-focused self-regulation, especially when employees are confronted with setback experiences. Secondly, the present chapter involves findings on recovery processes and mindsets, which are relevant for the theoretical understanding about the impact of setbacks and failures on employees’ psychological functioning. Thirdly, the author discusses affect modulation as a specific form of self-regulation, which allows for reducing negative affects and increasing positive affects, in order to facilitate holistic and integrative processing of setback experiences. Finally, proceeding from insights into how employees can overcome setback experiences and learn from failure, The author will provide practical implications for human resource management, training, and leadership.

While many studies investigate student leadership development in educational contexts or curriculum-based programs, little is known about the efficacy of leadership development programs that emerge in municipalities. This mixed methods case study explored the leadership development of participants in three nine-month youth leadership programs at a municipal-based prevention, treatment, and outreach center in the United States. Qualitative focus groups and quantitative surveys using the Student Leadership Practices Inventory (SLPI) were used to collect data at the beginning and end of the three programs along with a post-program evaluative survey. Findings from the qualitative and quantitative analyses are first presented individually and then expressed using a joint display table to visually represent the integrated results. Findings showed that the programs positively influenced participants’ perceptions, characteristics, and behaviors as youth leaders in their communities. Participants not only indicated improvements in their leadership practices according to the SLPI from pre- to post-program, but also demonstrated more complex understandings of leadership and what it means to be a leader in one’s community. These findings are useful for individuals and organizations planning student leadership development programs and should inform future research in the field.

While many approaches in the field of unlearning aim at describing, understanding or explaining the “what” and/or “how” of unlearning, this paper aims to focus on the “where-to” and the goal of unlearning. In many cases, unlearning starts off with a specific result or goal in mind. This paper suggests that such an approach has to be challenged in the context of a highly complex and uncertain world and to introduce a mode of unlearning following a strategy of future-oriented open-endedness.

This conceptual paper draws on (both theoretical/philosophical and empirical) interdisciplinary evidence from a wide variety of fields, such as organization studies, organizational (un)learning, systems theory, cognitive science and innovation studies.

It turns out that open-endedness in unlearning processes plays a central role, especially if we are confronted with high levels of uncertainty and complexity. In such an environment, following a strategy of co-becoming with an unfolding environment and with an emergent goal seems to be more promising than aiming at a preconceived (un-)learning goal.

The unlearning literature provides various approaches to what unlearning is and how it can be executed. However, understanding the actual goals and outcomes of unlearning and how these goals are identified and determined is a rather under-researched field. In many cases, they are preconceived in advance finding their realization in new forms of knowledge, assumptions, belief systems, values or routines. This paper challenges this strategy and addresses the gap of how it is possible to unlearn toward an uncertain future. This has an impact on the process of unlearning itself; it has to be reframed and understood as an open-ended strategy for identifying emerging future potentials, purposes and goals in a process of co-becoming with an unfolding future.

Reviews some of the good reasons for looking to real neural nets for guidance on ways of implementing effective parallel computation. Discusses existing artificial neural nets with particular attention to the extent to which they model real neural activity. Indicates some serious mismatches, but shows that there are also important correspondences. The successful applications are to image processing, pattern classification and automatic optimization, in various guises. Reviews important issues raised by extension to the symbolic problem solving of “intellectual” thought, the prime concern of classical AI. These illustrate the importance of recursion, and of a degree of continuity associated with any evolutionary process.