PurposeThe aim of this study is to investigate a mediation role of leadership over business performance and socioemotional wealth, within two Bosnian family businesses. This research purpose brings interesting highlights regarding how family businesses embedded the role of leadership that it might have a tremendous influence on business performance while tuning the socioemotional wealth.Design/methodology/approachThis study is based on qualitative research methodology. The sample is collected based on a purposive sampling method as in most qualitative studies. As the instrument for data collection is concerned, in-person-semi-structured interview has been employed with the owner-manager of each particular-family firm. Thus, two case studies were conducted and analyzed.FindingsThe research contributes both to the theory and the practice. From the theoretical perspective, it contributes to the theoretical knowledge of leadership as an important role in relationship between the socioemotional wealth and business performance. The practical contribution of this research could be summed up in the sense that business owners should seek to employ positive leadership vibes to create a good socioemotional wealth so that would be positively reflected in overall business performance of a family business. Other findings are further discussed.Originality/valueScarce empirical research offers mixed results while theoretical propositions that organizational governance (leadership) plays an important role in this relationship, is somehow neglected. Hence, this is the first empirical study on this particular that investigates this topic in Bosnia and Herzegovina (BiH), even in the Balkan region.

Concurrent multithreaded programs are more complex than sequential ones due to inter-dependencies of threads over shared memory. Because of these, software architects and developers quickly become overwhelmed when trying to design and manage concurrent software. Existing approaches that try to support architecture efforts in this domain rely on the visualization of concurrency-related properties of software to ease its understanding, but they fail because i) the abstractions they use do not capture information of architectural significance, and because ii) raw visualization of the interdependencies does not scale. In this paper, we suggest a scalable solution that focuses on the abstraction of concurrency properties and their visualization using architectural views. Our framework for automatic extraction of concurrency-related architectural properties (ArchViMP) proposes i) a set of logical rules that abstract concurrency-related architecturally significant software properties and ii) a set of architectural views suitable for showing these concurrency properties.

Pesquisa referente a Trabalho de Conclusão de Curso de Graduação em Enfermagem inserida na Linha de Pesquisa Organização e Gestão do Cuidado dos Serviços de Saúde. O Objetivo desde estudo foi identificar as situações que contribuem ou dificultam a prática do autocuidado dos graduandos de Enfermagem de uma universidade privada do Rio de Janeiro durante o período da graduação e na vivência da pandemia do SARS-CoV-2. Foi realizado um estudo descritivo e exploratório, com abordagem qualiquantitativa em uma Instituição Privada de Ensino Superior situada na Zona Norte da Cidade do Rio de Janeiro por meio de entrevista semiestruturada através de formulário online. Os resultados das questões fechadas, perfil sociodemográfico e socioeconômico foram tabulados em percentual através do software Microsoft Excel, 2010e as questões abertas, qualitativas, foram submetidas à Análise de Conteúdo proposta por Bardim. Participaram da pesquisa 116 graduandos de Enfermagem com predominância em adultos jovens do sexo feminino, solteiros, sem filhos, advindos de família com formação nuclear com renda média familiar de 1 a 3 salários mínimos e que se dedicam aos estudos e trabalho em concomitância. Esta pesquisa atingiu seu objetivo expondo as dificuldades enfrentados na prática do autocuidado pelos graduandos de Enfermagem durante a graduação presencial, avaliando como seu pior fator o estresse advindo da necessidade de estudar em concomitância com atividade laboral e na avaliação da prática do autocuidado durante a pandemia com a virtualização das disciplinas, o principal fator estressor que dificulta a prática do autocuidado é a mudança brusca na rotina dos estudantes.

Social robot co-design requires aiding users as they imagine these novel devices within their everyday lives and enabling designers to understand and address users’ experiences. This paper presents the exploratory development and evaluation of a role-playing game aimed at identifying the desired features and uses of a social robot that can assist people diagnosed with depression. Participants (n = 16) played the game as a character with depression, designed a companion robot for that character, and chose reactions to daily challenges. Though participants initially selected robot capabilities based on their own needs, after the game they identified alternative designs that would better address daily challenges faced by individuals with depression. We discuss aspects of the game that allowed participants to understand how various robot characteristics can address the experience of depression and suggest how role-playing games can support users and designers in identifying beneficial features and uses of emerging robotic technologies.

Motion planning is a hard problem that can often overwhelm both users and designers: due to the difficulty in understanding the optimality of a solution, or reasons for a planner to fail to find any solution. Inspired by recent work in machine learning and task planning, in this paper we are guided by a vision of developing motion planners that can provide reasons for their output—thus potentially contributing to better user interfaces, debugging tools, and algorithm trustworthiness. Towards this end, we propose a preliminary taxonomy and a set of important considerations for the design of explainable motion planners, based on the analysis of a comprehensive user study of motion planning experts. We identify the kinds of things that need to be explained by motion planners ("explanation objects"), types of explanation, and several procedures required to arrive at explanations. We also elaborate on a set of qualifications and design considerations that should be taken into account when designing explainable methods. These insights contribute to bringing the vision of explainable motion planners closer to reality, and can serve as a resource for researchers and developers interested in designing such technology.

Motion planning is a hard problem that can often overwhelm both users and designers: due to the difficulty in understanding the optimality of a solution, or reasons for a planner to fail to find any solution. Inspired by recent work in machine learning and task planning, in this paper we are guided by a vision of developing motion planners that can provide reasons for their output—thus potentially contributing to better user interfaces, debugging tools, and algorithm trustworthiness. Towards this end, we propose a preliminary taxonomy and a set of important considerations for the design of explainable motion planners, based on the analysis of a comprehensive user study of motion planning experts. We identify the kinds of things that need to be explained by motion planners ("explanation objects"), types of explanation, and several procedures required to arrive at explanations. We also elaborate on a set of qualifications and design considerations that should be taken into account when designing explainable methods. These insights contribute to bringing the vision of explainable motion planners closer to reality, and can serve as a resource for researchers and developers interested in designing such technology.