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Examines the use of a precision robot for automatic testing of complex geometries with free‐form surfaces. Each of its three rotation and bending axes have directly driven DC motors and high accuracy optical angle sensors. The distance between the ultrasonic probes and the workpiece can be measured by means of an ultrasonic distance sensor and the data gathered is transmitted to a workstation a graphical representation is produced which is visualised in real time by means of a high‐speed graphics processor. Using menu‐driven software, components with almost any free‐form surface can rapidly be excoriated, modelled and tested with freely selectable paths of very high resolution.

Universities, when collaborating with industry, are generally assumed to be the motors for innovation. Inspired by a case on a university’s collaboration with small- and medium-sized enterprises (SMEs) in a regional strategic network (RSN), this paper aims to put forth how the university makes important contributions through transferring knowledge on innovation processes that is a teaching role, rather than sees itself as the party producing innovations. This paper describes and discusses the university’s teaching role and its consequences in university-industry collaborations for innovation.

Empirically, the paper departs from a mid-Swedish RSN where nine SMEs started to work with a university. Interviews with representatives of the nine SMEs participating in the innovation project, along with university and RSN representatives, comprise the main data source. The paper analyzes the university’s teaching role and the consequences of it.

Findings point at how the SMEs developed structured innovation processes, improved their market intelligence and increased their efficiency in providing new solutions. The university facilitated knowledge, while the SMEs responded through creating knowledge both on how to innovate and in terms of innovations.

The teaching role, which would mean that the university stays with one of its core functions, indicates a need to rethink university-industry collaboration related to expectations and role division. Moving from producing innovations to facilitating knowledge on how to innovate, would, for universities, mean that they minimize those conflicts emerging from their various roles and indicate that the production of innovation is placed at those devoted to run and grow businesses.

This paper aims to provide a critical review of the psychopathy literature, with a particular focus on recent research examining the relationship between psychopathy and various forms of criminal behaviour.

The authors provide an overview of the studies conducted to date. To identify relevant published studies for this review, literature searches were completed using Web of Science, Scopus, PsychINFO, and PubMed.

Substantial empirical research exists to suggest that psychopathy is a robust predictor of criminal behaviour and recidivism. Furthermore, considerable support for the assertion that the violence perpetrated by psychopathic offenders is more instrumental than the violence committed by other offenders was found. In addition, some research suggests that the greater use of instrumental violence among psychopathic offenders may be due to the interpersonal/affective traits of psychopathy, and not the impulsive/antisocial traits.

The current paper is the first to provide an in‐depth review of the literature examining the association between psychopathy and criminal offending with a particular focus on violent and homicidal behaviour.

The aim of this paper is to outline what the intended benefits the smart specialization strategy (S3) is meant to create, and through what policy measures; that is, to shed light over what underpinnings S3 is based on, and if the measures based on these can affect the relations between “academia, businesses, and local authorities” – where the public and the private actors might have partly overlapping interests, but with different needs and rationales.

The research design of this paper is based on the industrial marketing and purchasing network approach, that is, the empirical observation that business exchange has a content, which affects and gives imprints on the actors engaged in the exchange. To determine whether the S3 strategy in general, and in the two investigated regions in particular, can affect the embedding of innovations in using, producing and developing settings, and if so how, this study applied the actors–resources–activities model. In addition to investigation of the S3 strategy in general, two case studies were conducted, one each in two European Union regions with rather different business and academic research characteristics: the Marche region in Italy and the Uppsala region in Sweden.

The S3 measures rest on the judgement of which “domains” to support can be made by policy actors without deeper analysis of how the assumed firms representing these domains are related in terms of how resources are combined and activated. Instead, the S3 policy analysis is based on local policy organizations desk table investigations of what appears as innovative. Hence, in practice, the key S3 measure is still to transfer knowledge from the public to the private sector. This entails that support in terms of how to create change in established resources interfaces, which is a main source of innovation to which both established and emerging localized firms are related, remains out of policy sight.

The ambition with this paper is to discuss what changes S3 – with the ambition to develop and match academic research to business needs – implies and what underpinnings it is resting on. Hence, the focus is directed to what new types of policy arrangements are supposed to result in what types of benefits – and last but not least, the ability for these to interfere with businesses which are interconnected across spatial borders.

This study aims to investigate how and to what extent structural network properties affect dyadic negotiation behavior in tourism destination ecosystems. Specifically, this study addresses negotiation behavior in terms of problem-solving and contending, because these two key strategies reflect the integrative and distributive aspects of dyadic interactions.

This study relies on network data and dyadic survey data from nine mountain tourism destinations in Southeastern Norway. The structural network properties the authors research are triadic closure – the extent to which a dyad has common ties to other actors – and structural equivalence – the similarities in networking patterns that capture firms’ competition for similar resources. In addition, the authors also study a possible effect of relationship duration on negotiation behavior.

Triadic closure and relationship duration have positive effects on problem-solving, and structural equivalence tends to decrease problem-solving, although the effect is inconsistent; none of these three independent variables was found to affect contending negotiation behavior.

This study shows that a dyad’s structural network embeddedness has implications for negotiation behavior. Further research is encouraged to develop this theoretical perspective.

This study is a pioneering investigation of how structural network properties affect dyadic negotiation behavior in ongoing coproducing relationships in real-world destination ecosystems.

This chapter differentiates stress from generalized anxiety, discussing the nature and prevalence of each among college students. The chapter then delves into generalized anxiety in detail, covering instruments that measure generalized anxiety, cultural considerations associated with generalized anxiety and the causes, consequences, prevention and treatment of generalized anxiety among college students. The next section of the chapter focuses on social anxiety among college students, similarly addressing its defining characteristics, prevalence, cultural considerations, causes, consequences, prevention and treatment. The final section of the chapter follows a similar structure in discussing posttraumatic stress disorder (PTSD) among college students. Throughout the chapter, attention is devoted to neurotransmitters and brain structures that are involved in anxiety and its treatment through antianxiety medications. Case examples are used to help bring theoretical concepts and research findings to life.

The purpose of this paper is to develop a clear answer to the question “how is leadership developed?” This research utilized the knowledge of leadership development experts and their collective expertise to identify the critical elements required for a high-quality leadership development program.

The Lockean Inquiring System approach to the Delphi technique was used to solicit the views of experts in leadership and leadership development from around the world. Experts for Round 1 of the Delphi were drawn from a random sampling of 100 people, comprising leadership researchers, coaches, and organizational leaders, not personally known to the lead researcher of this project, but in his LinkedIn network. A response rate of 13 percent (n=13) yielded a rich range of qualitative data. Responses from the first round of the Delphi were analyzed using open coding and categorized into four themes, representing four sets of competencies required of leaders.

The four themes were labeled as contextual, human capital, social capital, and structural capital, all of which were seen by participants as being central to the development of collective leadership. Based on these themes, this paper identifies a useful list of key leadership development tactics from which those wishing to develop a leadership program can work.

As the first round of a Delphi study, the authors are limited to presenting only the key elementary empirical judgments. Subsequent study with an expanded sample size and a refined set of questions rooted in the current data will contribute further to the development of factual propositions related to leadership development for the twenty-first century. The Delphi survey is a “snapshot” approach and presents a holographic-type image of the complex whole. The authors plan to triangulate the data by significantly expanding the pool of Delphi experts and conducting the Round 1 survey a second time with a larger international group of respondents that fit the criteria of expert.

This paper presents four dimensions of an effective leadership development strategy.

Core elements of the best methods for leadership development have been identified by leadership development experts, which serve as a basis for developing leadership as a collective, and for further research.

This study aims to explore the resource development process implemented by a small consulting firm, active in a traditional industrial context, pursuing the innovation path to develop solutions within the Industry 4.0 (I4.0) domain.

This study undertakes a single qualitative case study of Sinergia, an Italian innovative small consulting firm. The case study is analyzed through critical events and adopting the 4 R model, developed within the industrial marketing and purchasing (IMP) approach.

The analysis highlights a transition from knowledge broker to solution provider, based on a process of networking, with a relevant strategizing effort, and of assembling internal, external and shared resources. Three patterns in the evolution of the company’s innovation path emerge: resource-oriented networking, hybrid resource development and resource assembly.

The empirical study provides novel empirical evidence over localized innovation processes in I4.0 by exploring the innovation path pursued by a small consulting firm in connection with the local business. The study represents a theoretical development in terms of the 4 R model as it suggests the need to further conceptualize the category of technical resources – including products and facilities – in the increasingly complex I4.0 domain and provides insights on the changing role of actors in networks underpinned by emerging resource structures.

This study aims to provide probable future developments in the form of holistic scenarios for business negotiations. In recent years, negotiation research did not put a lot of emphasis on external changes. Consequently, current challenges and trends are scarcely integrated, making it difficult to support negotiation practice perspectively.

This paper applies the structured, multi-method approach of scenario analysis. To examine the future space of negotiations, this combines qualitative and quantitative measures to base our analysis on negotiation experts’ assessments, estimations and visions of the negotiation future.

The results comprise an overview of five negotiation scenarios in the year 2030 and of their individual drivers. The five revealed scenarios are: digital intelligence, business as usual, powerful network – the route to collaboration, powerful network – the route to predominance and system crash.

The scenario analysis is a suitable approach that enables to relate various factors of the negotiation environment to negotiations themselves and allows an examination of future changes in buyer–seller negotiations and the creation of possible future scenarios. The identified scenarios provide an orientation for business decisions in the field of negotiation.

Food allergy can rarely be diagnosed by laboratory methods alone. The best approach is one which combines clinical observations with attempts to confirm the diagnosis by laboratory tests. In principle, the patient is put on a complete exclusion diet to see if the symptoms are thereby ameliorated. Attempts are made to provoke these by restoring items of diet in a planned sequence. It is usually necessary to intersperse these dietary items with placebo substances, that is, dummy foods so that both the doctor and the patient are free from bias in interpreting the results. The demonstration that disodium cromoglycate prevents this provocation provides additional evidence that a particular food is responsible for the disease symptoms. In addition, beneficial results with this drug indicate that the reaction is indeed allergic in nature.