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This study aims to explore the overlap between symptoms of depression, anxiety, irritability and aggressiveness in autism spectrum disorder (ASD), to measure specific and idiosyncratic emotional responses.

A total of 42 high functioning adolescents and adults, between 12 and 39 years old, meeting the diagnostic and statistical manual of mental disorders – 5 criteria for ASD were selected from the InFoR Autism cohort. Data were analyzed in an exploratory way using Hill and Smith and K-medoids cluster analysis.

The authors found an aggregation of anxiety, depression, aggressive behaviors and irritability. Cluster analysis was maximized for two groups with 17 and 25 participants, respectively. The first group was characterized by high levels of symptoms of irritability, aggressiveness, hyperactivity and intermediate levels of anxiety and depression. In the first group, participants had significantly higher levels of autistic symptoms considering the social responsiveness scale and repetitive behavior scale-revised scales (relatives’ reports) suggesting that a particular group of subjects with a high level of ASD specific symptoms may express anxiety and depression in a specific way based on externalizing behaviors in addition to the common mood and anxiety symptoms.

Improved understanding of the aggregation of externalized symptoms with symptoms of anxiety and mood disorders in ASD should lead to a better understanding of the underlying mechanisms related to emotion dysregulation in ASD.

Improved knowledge of the symptoms could lead to enhanced detection of psychiatric comorbidities in ASD.

The study was based on a transdiagnostic approach of psychiatric symptoms in individuals with ASD. Aggregation and clustering analysis was used to explore naive patterns of these psychiatric symptoms.

Doctoral students’ ill-being in terms of stress, exhaustion and high levels of mental health problems has been well documented. Yet, the well-being of doctoral students is more than the absence of these negative symptoms. The number of studies exploring the combination of positive and negative attributes of doctoral students’ well-being is limited. Therefore, this study aims to focus on exploring individual variation in doctoral students’ experienced engagement and burnout across two distinct socio-cultural contexts in Finland and in South Africa.

A total of 884 doctoral students from Finland (n = 391) and South Africa (n = 493) responded to the cross-cultural Doctoral Experience Survey. The data were quantitatively analyzed.

Altogether four distinctive engagement–burnout profiles were detected, including engaged, engaged–exhausted, moderately engaged–burnout and burnout profiles. Differences between the Finnish and South African students were identified in profile emphasis. The profiles were also related to several study progress attributes such as drop-out intentions, time-to-candidacy and satisfaction with study.

This study provides new understanding on doctoral students’ well-being by focusing on both positive and negative attributes and exploring doctoral students’ discrepant profiles with a cross-country design.

This paper aims to explore the support experiences of 381 PhD students within the humanities and social sciences from three research-intensive universities in Denmark (n = 145) and Finland (n = 236). The study investigates the cross-cultural variation in the researcher community support and supervisory support experiences, factors associated with their support experienced and the perceived support fit.

The study used a mixed methods design, both quantitative analyses and qualitative analyses (open-ended descriptions) were used.

The results showed that students in both Danish and Finnish programs emphasized researcher community support over supervisory support. The Danish students, however, reported slightly higher levels of researcher community support and experienced lower levels of friction than their Finnish counter partners. The results also indicated that the only form of support in which the students expressed more matched support than mismatched support was informational support.

The results imply investing in a stronger integration of PhD students into the research community is beneficial for the students’ progress. Building network-based and collaborative learning activities that enhance both instrumental and emotional support and a collective form of supervision could be further developed. The possibility of Phd student integration in the scholarly community is likely to lead to more efficient use of finacial and intellectual resources in academia and society more broadly.

This study offer a unique contribution on doctoral students’ academic and socialization experiences in terms of explicationg the sources of support, support forms and support fit among Danish and Finnish doctoral students. Both invariants and socio-culturally embedded aspects of support experience among the students were detected.

The purpose of this study is to describe latent classes explaining the innovation logic in the Finnish construction companies. Innovativeness is a driver of competitive performance and vital to the long-term success of any organisation and company.

Using finite mixture structural equation modelling (FMSEM), the authors have classified innovation logic into latent classes. The method analyses and recognises classes for companies that have similar logic in innovation activities based on the collected data.

Through FMSEM analysis, the authors have identified three latent classes that explain the innovation logic in the Finnish construction companies – LC1: the internal innovators; LC2: the non-innovation-oriented introverts; and LC3: the innovation-oriented extroverts. These three latent classes clearly capture the perceptions within the industry as well as the different characteristics and variables.

The presented latent classes explain innovation logic but is limited to analysing Finnish companies. Also, the research is quantitative by nature and does not increase the understanding in the same manner as qualitative research might capture on more specific aspects.

This paper presents starting points for construction industry companies to intensify innovation activities. It may also indicate more fundamental changes for the structure of construction industry organisations, especially by enabling innovation friendly culture.

This study describes innovation logic in Finnish construction companies through three models (LC1–LC3) by using quantitative data analysed with the FMSEM method. The fundamental innovation challenges in the Finnish construction companies are clarified via the identified latent classes.

This research intends to analyze the innovation ecosystem factors that play a vital role in firm performance. As a result, large-scale empirical studies on the innovation ecosystem are rare, and fewer efforts have been made to determine if and how different factors affect the ecosystem models of firms. There has yet to be a substantial empirical study on the innovation ecosystem.

Data were acquired from Pakistani IT companies. The results show that factors of the innovation ecosystem significantly contribute to business performance. The essential assumption is that resource endowment, organizational culture, knowledge and competence, and technology capability are allied to the innovation ecosystem.

The findings are crucial from a managerial view because firms must focus on changing their innovation ecosystem factors model to achieve greater performance. Radical changes in the firms will only be worthwhile if they value their resource endowments. To attain superior firm performance via influential factors of the innovation ecosystem, IT administrators need to build organizational cultural capacities to adapt to changes brought on by digitization quickly and effectively. However, this must be supplemented by improving organizational knowledge, competencies and technological capabilities to enable organizations to modify their ecosystems.

Eventually, firms can better respond to changes in their settings if they combine these variables by implementing an effective innovation ecosystem model, which leads to greater sector and superior financial performance.

Customer firms and suppliers are valuable knowledge resources that can be used for achieving superior new service development (NSD) performance. This study aims to investigate how supply chain relationship quality (SCRQ) and knowledge sharing promote the success of NSD, and examines service modularity as an important contingency factor that enhances NSD performance in supply chains.

Based on service-dominant logic, this study builds a conceptual model to empirically explore the impacts of SCRQ and knowledge sharing on NSD performance, and highlights the moderating effect of service modularity by means of survey methodology of 295 Chinese service firms to test the research hypotheses.

Regression analysis results show that SCRQ has significant positive effects on knowledge sharing and NSD performance; knowledge sharing plays a partial intermediary role between SCRQ and NSD performance; and service modularity partially moderates the relationships between SCRQ, knowledge sharing and NSD performance.

Generalizations here are limited to Chinese service firms. Service modularity in manufacturing firms experimenting with servitization has yet to be examined and provides a good avenue for future research.

This study contributes to service management literature by providing empirical understanding of how service modularity affects NSD performance in multiprovider contexts. Furthermore, this study offers novel insights on the impacts of inter-firm relationship quality and knowledge sharing in modular collaborative innovation.

Journal of services marketing (JSM) is a leading journal that has published cutting-edge research in services marketing over the past 34 years. The main objective of this paper is to provide a retrospective of the thematic structure of papers published in JSM over its publication history.

This study uses bibliometric methods to present a retrospective overview of JSM themes between 1987 and 2019. Using keywords co-occurrence analysis, this paper unveils the thematic structure of JSM’s most prolific themes. Bibliographic coupling analysis uncovers the research trends of the journal.

Leading authors, leading institutions, authors’ affiliated countries and critically, the dominant themes of JSM are identified. As its founding, JSM has published approximately 40 papers each year, with 2019 being its most productive year. On average, lead JSM authors to collaborate with 1.30 others. Keywords co-occurrence analysis identifies nine prominent thematic clusters, namely, “marketing to service”, “quality, satisfaction and delivery systems”, “service industries”, “relationship marketing”, “service failure, complaining and recovery”, “service dominant logic”, “technology, innovation and design”, “wellbeing” and “service encounters”. Bibliographic coupling analysis groups JSM papers into four clusters, namely, “brand & customer engagement behaviour”, “service co-creation”, “service encounters & service recovery” and “social networking”.

This study is the first to analyse the thematic structure of JSM themes over its history. The themes are analysed across time periods and then compared to dominant themes identified in contemporary service research agendas. Recommendations are made based on the gaps found. This retrospective review will be useful to numerous key stakeholders including the editorial board and both existing and aspiring JSM contributors. The selection of literature is confined to Scopus.

JSM’s retrospection is likely to attract readership to the journal. The study’s recommendations regarding which areas have matured and which are still ripe for future contributions will offer useful guidelines for all stakeholders.

To design, control and evaluate photovoltaic (PV) systems, an accurate model is required. Accuracy of PV models depends on model parameters. This study aims to use a new algorithm called improved social spider algorithm (ISSA) to detect model parameters.

To improve performance of social spider algorithm (SSA), an elimination period is added. In addition, at the beginning of each period, a certain number of the worst solutions are replaced by new solutions in the search space. This allows the particles to find new paths to get the best solution.

In this paper, ISSA is used to estimate parameters of single-diode and double-diode models. In addition, effect of irradiation and temperature on I–V curves of PV modules is studied. For this purpose, two different modules called multi-crystalline (KC200GT) module and polycrystalline (SW255) are used. It should be noted that to challenge the performance of the proposed algorithm, it has been used to identify the parameters of a type of widely used module of fuel cell called proton exchange membrane fuel cell. Finally, comparing and analyzing of ISSA results with other similar methods shows the superiority of the presented method.

Changes in the spider’s movement process in the SSA toward the desired response have improved the algorithm’s performance. Higher accuracy and convergence rate, skipping local minimums, global search ability and search in a limited space can be mentioned as some advantages of this modified method compared to classic SSA.

In this paper family entrepreneurship and its banking support in Kuwait is discussed, as one of the wealthiest countries in the world. In the beginning is provided an overview of the Kuwaiti context of entrepreneurship and small- and medium-sized enterprises (SMEs), followed by discussion of family businesses' profile and benefits to the economy and society. The paper discusses the banking sector in Kuwait and its contribution to the development of family entrepreneurship and the small business sector in Kuwait.

For purposes of this study a multiple case study approach and a snowballing sample was used.

Even that, Kuwait is considered as an Islamic country, from the answers and comments that were received from our research, we concluded that most of the family businesses cooperate with conventional banks, instead of Islamic banks.

Several supporting products are described and analysed in this paper, which can help family business and SMEs' owners where to address when a support is needed. Also are provided information on similarities and differences between Islamic and conventional banking.

This paper is one of the first papers that discusses family businesses and entrepreneurship in Kuwait and the support they receive from Islamic and conventional banks. It provides original quotes from family business owners regarding this topic.