Diversity and PERMA-nent Positive Leadership to Benefit from Industry 4.0 and Kondratieff 6.0

International audienc

Diversity and PERMA-nent Positive Leadership to Benefit from Industry 4.0 and Kondratieff 6.0

International audienc

Innovation Management System Assessment and Benchmarking

TIMS (Training in Innovation Management System for Sustainable SMEs) is an EU Erasmus+ project which analyzed the ISO (International Standardisation Organisation) 56000 innovation management system norm parts and configured in 2022 an ISO 56000-based innovation assessment portal. This system allows self-assessment, independent expert assessment, and benchmarking for innovation management. In 2023, a competence matrix and related training materials to support the implementation of ISO 56000 is developed. The ISO 56000-based assessment tool applied ISO 33020 for process capability assessment for ISO 56000 and this allows us to determine the capability of ISO 56000 processes. This paper gives an overview of which processes have been derived from ISO 56000 and how the PAM (Innovation Process Assessment Model) is structured. Since ISO 33020 provides a standard method to determine process attributes and capability level profiles of innovation management system processes, the method also allows a Europe (and worldwide) benchmarking of the capability of innovation management systems. The objective of TIMS is to establish an assessment system and training to roll out ISO 56000 to the European industry. The tools and training materials will be used by universities in lecturing programs and by innovation agents in the industry

Sistematização dos requisitos gerais para o desenvolvimento de software na indústria 4.0

The identification and implementation of technologies and innovations, through the development of business strategies, are factors that contribute to organizational success. In this context, industry 4.0 can contribute to the development of industries that seek technological and innovative differentials. The objective of this research is to develop a system for software development in industry 4.0. Because they are current topics and linked to technology and innovation, they are still underdeveloped in academic studies. Through a bibliographic review, using bibliometrics and content analysis techniques, the general requirements for software development in industry 4.0 were identified, and for each requirement, what are the challenges, risks, gaps, advantages and trends. The systematic is analyzed by academic experts, being considered as theoretical with the incorporations of the practice. The AHP method was used to prioritize the requirements, resulting in the adjusted systematic, having as elements and relative score of the specialists: analysis of opportunities 34.98%, operational efficiency 2.0 19.41%, optimization of the business model 15.57%, information technology 20.26%, IT integration 12.29%, IT security management 7.97%, new interfaces and data 17.93%, data analysis and management 6.90%, new intellectual property management 6.69%, cloud-based applications 4.34%, integrated and intelligent management 10.75%, intelligent supply chain 3.85%, lifecycle management 3.81%, intelligent logistics 3.09%, change and learning 16.08%, corporate business 9.33%, organizational learning 6.75%. Among the criteria, the requirement that got the most weight was the analysis of opportunities and among the sub-criteria the ones with the highest weight were: operational efficiency, optimization of the business model and IT integration. Finally, an analysis by specialists from companies that develop software is applied to understand how the requirements are used in these companies, reaching the final system. The research through the AHP, showed the importance of analyzing opportunities and operational efficiency in organizations, justifying that companies are concerned with identifying business opportunities and managing processes efficiently. These results also showed the stage of preparing the system as the most relevant. The interviews demonstrated the concern with cybersecurity and IT integration tools, but the gap was shown in relation to the development of integrated and intelligent management, with emphasis on intelligent logistics.Agência 1A identificação e implementação das tecnologias e inovações, por meio do desenvolvimento de estratégias empresariais, são fatores que contribuem para o sucesso organizacional. Neste contexto, a indústria 4.0 pode contribuir para o desenvolvimento das indústrias que buscam pelo diferencial tecnológico e inovador. O objetivo desta pesquisa é desenvolver uma sistemática para o desenvolvimento de software na indústria 4.0. Por serem temas atuais e ligados à tecnologia e inovação, ainda são pouco desenvolvidos nos estudos acadêmicos. Por meio de uma revisão bibliográfica, utilizando técnicas de bibliometria e análise de conteúdo, identificaram-se os requisitos gerais do desenvolvimento de software na indústria 4.0, e para cada requisito, quais são os desafios, riscos, lacunas, vantagens e tendências. A sistemática passa por análises de especialistas acadêmicos, sendo considerada como teórica com as incorporações da prática. O método AHP foi utilizado para priorizar os requisitos, resultando na sistemática ajustada, tendo como elementos e pontuação relativa dos especialistas: análise de oportunidades 34,98%, eficiência operacional 2.0 19,41%, otimização do modelo de negócios 15,57%, tecnologia da informação 20,26%, integração de TI 12,29%, gerenciamento de segurança de TI 7,97%, novas interfaces e dados 17,93%, análise e gerenciamento de dados 6,90%, novo gerenciamento de propriedade intelectual 6,69%, aplicações baseadas em nuvem 4,34%, gestão integrada e inteligente 10,75%, cadeia de suprimentos inteligente 3,85%, gerenciamento do ciclo de vida 3,81%, logística inteligente 3,09%, mudança e aprendizagem 16,08%, negócio corporativo 9,33%, aprendizagem organizacional 6,75%. Entre os critérios, o requisito que obtive maior peso foi a análise de oportunidades e entre os subcritérios os de maior peso foram: eficiência operacional, otimização do modelo de negócios e integração de TI. Por fim, é aplicada uma análise de especialistas de empresas que desenvolvem software para entender como os requisitos são utilizados nessas empresas, chegando à sistemática final. A pesquisa por meio do AHP, mostrou a importância da análise de oportunidades e da eficiência operacional nas organizações, justificando que as empresas se preocupam em identificar as oportunidades de negócios e gerenciar os processos de forma eficiente. Esses resultados também mostraram a etapa de preparação da sistemática como a mais relevante. As entrevistas demonstraram a preocupação com a cybersegurança e as ferramentas de integração de TI, porém mostrou-se o gap em relação ao desenvolvimento da gestão integrada e inteligente, com destaque para a logística inteligente

Dispositional Gratitude at Work Predicts Job Satisfaction of Software Developers

Software developers can suffer from negative emotions at work and low job satisfaction. Less is known about how positive emotions at work impact software developers. Gratitude is one positive emotion that has predicted job satisfaction in other studies. The purpose of this quantitative correlational study was to explore how gratitude at work predicts job satisfaction among software developers. The broaden-and-build theory of positive emotions and the find-remind-and-bind theory of gratitude guided the study. Participants included 146 software developers who were recruited via LinkedIn using purposive sampling. Participants completed an online survey, including the Gratitude Questionnaire-Six Item Form and the Appreciation in Relationships scale. The results of a multiple regression analysis revealed that a model of five independent variables of gratitude at work statistically significantly predicted job satisfaction. Dispositional gratitude at work was the only individual statistically significant predictor of job satisfaction. The results align with previous studies that show gratitude at work can boost the job satisfaction of software developers. Recommendations for future research and for practitioners are included