Boundary resource interactions in solution networks

Purpose This study aims to explore the interactions between two different and potentially complementary boundary resources in coordinating solution networks in a digital platform context: boundary spanners (those individuals who span interorganizational boundaries) and boundary interfaces (the devices that help coordinate interfirm relationships, e.g. electronic data interchanges, algorithms or chatbots). Design/methodology/approach The authors conducted a multiple case study of three firms using digital platforms to coordinate solution networks in the information communication technology and lighting facility industries. Data were collected from 30 semi-structured interviews, which are complemented by secondary data. Findings As task complexity increases, smarter digital interfaces are adopted. When the intelligence level of interfaces is low or moderate, they are only used as tools by boundary spanners or to support boundary spanners’ functions. When the intelligence level of interfaces is high or very high, boundary spanners design the interfaces and let them perform tasks autonomously. They are also sometimes employed to complement interfaces’ technological limitations and customers’ limited user ability. Research limitations/implications The industry contexts of the cases may influence the results. Qualitative case data has limited generalizability. Practical implications This study offers a practical tool for solution providers to effectively deploy boundary employees and digital technologies to offer diverse customized solutions simultaneously. Originality This study contributes to the solution business literature by putting forward a framework of boundary resource interactions in coordinating solution networks in a digital platform context. It contributes to the boundary spanning literature by revealing the shifting functions of boundary spanners and boundary interfaces.

The Relationship Between School Principals' Cultural Intelligence Level and Teachers' Job Satisfaction and Intention to Leave the Job

<p style="text-align: justify;">This research aims to determine the relationship between school principals' cultural intelligence level and teachers' job satisfaction and intention to leave. The relational survey model was used in this study. The data of the research were collected from 800 teachers working in public middle schools in the central districts of Mersin Province in the 2020-2021 academic year. The data were collected through Personal Information Form, Cultural Intelligence Scale, Job Satisfaction Scale, and Intention to Leave Scale. The data were analyzed through correlation analysis, Structural Equation Modeling and Sobel Test. According to the results of the research, a strong, positive and significant relationship was found between the cultural intelligence level of school principals and the job satisfaction of teachers. A strong, negative, and significant relationship was determined between the cultural intelligence level of school principals and teachers' intention to leave. A strong, negative, and significant relationship was determined between teachers' job satisfaction and their intention to leave. It was found that the cultural intelligence level of school principals negatively predicted teachers' intention to leave. It was also determined that cultural intelligence levels of school principals negatively predicted teachers' intention to leave through job satisfaction, and teachers’ job satisfaction was a partial mediator of the relationship between the cultural intelligence levels of school principals and teachers' intention to leave. It was suggested that candidates with high cultural intelligence levels should be given priority in the appointment process of school principals.</p>

Does Emotional Intelligence Prevent Workplace Bullying? A Research on Sports Institution Employees

This study aimed to investigate the relationship between emotional intelligence and workplace bullying in the Provincial Directorate of Youth Services and Sports. 309 (215 men, 94 women) Sports Provincial Directorate of Youth Services staff from seven different cities of Turkey participated as volunteers in the research. In the study, the personal information form prepared by the researcher, the “Wong and Law Emotional Intelligence Scale” developed by Wong and Law (2002) and adapted to Turkish by Deniz (2012) were used. To determine the workplace bullying level, 21-question “Negative Behaviors Scale” developed by Einarsen (1996) and adapted to Turkish by Cemaloglu (2007) was used. A statistically significant difference was found between the groups according to the emotional intelligence level in the sub-dimension of evaluation of others’ emotions in terms of gender variables. No statistically significant difference was determined between the groups according to the gender variable in terms of workplace bullying. A statistically significant difference was found between the groups in terms of the duration of work, according to emotional intelligence levels and workplace bullying. When the relationship between emotional intelligence and workplace bullying was examined, it was found that there were negative significant correlations in some sub-dimensions. As the level of emotional intelligence of the employees increased, the cases of exposure to bullying decreased.

The Differentiation of Narrative Styles in Individuals with High Psychopathic Deviate

The current study was designed to show the differentiation of narrative styles in individuals with high scores in Psychopathic deviate (Pd) scale and develop a method enabling identification of psychopathic personality traits based on linguistic indicators. 600 spontaneous narrations related to emotional topics have been examined for grammar, syntactic, and lexical indicators. The indicators have been selected based on a review related to language of psychopaths. The narrations were written by 200 persons who were also tested for psychopathic deviate and intelligence level, including prisoners diagnosed with antisocial personality disorder. Independent judges identified the linguistic indicators which were then counted for each person with the use of computer software. The configuration profiles of the linguistic indicators/narrative styles were established using k-mean clustering method. Then, ANOVA was performed to show which clusters differentiate the levels of psychopathic deviate. The findings show there are two configurations of language features (important: single features were not examined) associated with high levels of psychopathic deviate patterns. Two narrative styles were identified, labelled demonstrative-digressive-egocentric-emotional-dogmatic and reserved-focused on the topic-repetitive, which indicate high psychopathic deviate traits. The ROC curves were applied to establish the prediction of the narrative styles for high psychopathic deviate scores.

LEVEL OF EMOTIONAL INTELLIGENCE AND THE ASSOCIATIONS OF THESE LEVELS TO THEIR SOCIO-DEMOGRAPHIC: A STUDY ON EMPLOYEES OF PRIMARY COOPERATIVE CREDIT SOCIETIES IN IDUKKI DISTRICT

This research article is an extract of Ph.D. thesis research work. The present research paper explores the level of emotional intelligence and the associations of these levels to their socio-demographic among the employees of primary cooperative credit societies in Idukki District. In the study area, 57.5 percent of the bank employees have an emotional intelligence above average; among them, the number of male employees was more than that of women employees. And, the age of the respondents, their educational qualifications, the education streams of the respondents, their working experience, training undergone by the bank employees, and the marital status of the respondents have significant associations with their emotional intelligence level in the workplace. KEY WORDS: Emotional Intelligence, Employees, Idukki District

INTELLIGENCE LEVEL MIGHT BE PREDICTED BY THE CHARACTERISTICS OF EEG SIGNALS AT SPECIFIC FREQUENCIES AND BRAIN REGIONS

The total energy the brain consumed and the intensities of information flows across different brain regions in an intellectual activity may help to explain an individual’s intelligence level. To verify this assumption, 43 students aged 18–25 were recruited as the research subjects. Their intelligence quotients (IQ) were scored by using Wechsler Adult Intelligence Scale (WAIS), while their electroencephalogram (EEG) signals were recorded simultaneously by using Neuroscan system. The total energy and distribution patterns of EEG signals were acquired in Curry 8.0. The intensities of information flow across different brain regions were measured by Phase Slope Index (PSI). 20 channels and 190 channel combinations were selected for data analysis. The results show that the IQ score negatively correlates to the EEG energy and positively correlates to the intensities of information flows at specific frequency bands in specific channel pairs, especially in some long distance (18–24[Formula: see text]cm) channel pairs.

The Correlation between Students' Intelligence Level and their Achievement in Learning English

The objective of the research was to find out the correlation between the students intelligence and their achievement in learning English at SMPN 27 Makassar. The design of this research was descriptive and employed correlational method. The population of this research was the second year students of SMPN 27 Makassar. The technique of sampling applied cluster random sampling which the total of sample was 20 students. The instruments of this research were IQ test and English test. To find out students achievement in learning English, the researcher tested the students using multiple choice test that consisted of materials from their handbook. To find out the level of students intelligence, the Psychological Department Team of State University of Makassar was given IQ test. To find out the correlation from both variables, the researcher used Pearson r formula. The result of the test shows that most of the students’ intelligence was categorized as dull average and the students’ achievement was 6.35 which is categorized as fair achievement. The result data found that there was no significant correlation between the students’ intelligence level and their achievement in learning English at the second year of SMPN 27 Makassar.

Analysis of the Intelligence Structure in Nursing Students

Preparation for the profession of a nurse requires, in addition to knowledge, the development of specific skills; many of them are primarily connected to cognitive abilities. In the context of effective education, one of the key facts is to recognise the intelligence structure of nursing students. The aim of the research was to analyse the intelligence structure in nursing students, to compare scores in individual areas of intelligence with the norm, to identify problematic areas of intelligence, and to suggest possibilities for intervention in education. The research sample consisted of 266 women aged 19 to 43 years old (average age = 20.10 years) - current students of the study field of nursing at the bachelor's degree. Data collection was carried out in the years 2014 - 2019. To measure the structure of intelligence, a standardized IST-70 questionnaire was used, focusing on two meta constructs - reasoning and memory. Subtests of numerical, verbal, and figural intelligence were analysed within the meta construct of reasoning. The value of the gross score of the total intelligence level of the examined group (M = 84.95; SD = 19.87) is comparable (t = -1.58; sig. = 0.114) with the population norm (M = 87; SD = 25). The research sample of nursing students scored statistically significantly higher in the meta construct of memory (t = 7.84; sig. = 0.000) and significantly lower in the meta construct of reasoning (t = -3.876, sig. = 0.000). The most significant deficits were present in figural and numerical intelligence. In view of the results achieved, we recommend introducing interventions in the area of training future nurses, which should be aimed at compensating for deficits in figural and numerical intelligence.