Systems intelligence (SI) takes systemic, an employee-level, pragmatic, bot-tom-up, behavioral and interactional approach to organization. A goal of this research is to explore relation between SI and both perceived performance of organization and wellbeing. We conducted a survey with health care and ed-ucation organizations. Organizational Systems Intelligence (OSI) correlated positively with perceived performance of organization, work engagement, mental work ability, and negatively with perceived stress. In addition, per-ceived performance had stronger correlation with OSI than wellbeing measures. This research underlines importance of addressing SI as a part of human resource development in organizations.
Population aging is a major societal challenge worldwide, and the Baltic Sea region is no exception. This challenge has increased interest in successful aging through digital assistive technology (DAT). This paper seeks to shed more light on the potential impact of DAT on successful aging by offering deeper insight into the needs and expectations of older people as well as the barriers to and challenges in providing DAT solutions. Given the nature of the research questions, a qualitative approach was employed, and a multiple-case study was conducted in six Baltic Sea region countries: Latvia, Lithuania, Estonia, Russia, Denmark, and Finland. The central finding of the study revealed that older people and technology providers perceived DAT solutions as of utmost importance in supporting successful aging. The study also contributes to the discussion of the need for a more holistic and multidimensional approach to successful aging by proposing to incorporate the impact of technological advances into a conceptual framework that outlines more comprehensively the components of successful aging.
The current information society has been reported to have begun in 1976 and has included five different stages of development, from inception to globalization (Nevalainen 1999). Current society is in a new phase of transition, where applications of digitalization such as artificial intelligence and human-centered robotics are becoming a relevant part of every person’s life in working life, school and leisure. There are already concepts for the future society called 5.0 (Sato & Arimoto 2015) where researchers have considered what issues may change and how changes may happen (Cabinet Office 2019).Wearable intelligence can be defined broadly but it combines textiles and technology and includes sensors (traditional, bacteria-based, etc.), software applications, intelligent textile materials (phase change polymers, textiles), smart design (mass customization, value-based design, etc.) and services (platform economy). The products of wearable intelligence can be wearable sensors, smart textiles and shoes, exoskeleton robots, and fabrics, which are smart and connected to sensor networks and services (AI cloud). Currently, the market expects that researchers would develop efficient, lightweight and reliable exoskeleton robots that make use of high-speed 5G mobile networks and AI. However, the greatest part of the developed exoskeletons is for upper body and they are made from traditional materials and with traditional approaches which emphasize technical issues.The aim of the study was to plan a new approach for designing footwear exoskeleton. The objective was to design a footwear exoskeleton design approach which takes into account smart textile materials, smart sensors, sustainable design, testing data and user expectations. We found that smart footwear exoskeleton design requires professionals from design and user experience, ICT and programming, material and textile technology, mechatronics and energy, and biomechanics domains. As conclusion the ecosystem of smart footwear exoskeleton robotics is still in novice stage and new design approaches are needed, especially now when Society 5.0 may increase demand for assistive technology.
Digitalization of society and digital transformation of organizations have been the emerging trend during the last decade and recently the Covid-19 pandemic even promoted the use of digital technology. There are numerous benefits reported due to digitalization but also some challenges have been addressed. One challenge has been the emerging amount of technostress due to rapid change in utilizing digital tools and applications. There are some validated technostress instruments available but those are universal instruments meant for assessing any kind of technostress. However, the number of technostress instruments targeted for assessing perceived stress due to online work is still limited. We aimed to develop and validate a novel instrument for assessing technostress due to online meetings. We compared the validity of the novel instrument in terms of other well-known instruments among education and health care sectors. A large survey was conducted, and a number of respondents was 499. Data were handled by SPSS-28. Statistical analyses were done by Pearson correlations. Study showed that the novel instrument was easy to use and valid for assessing technostress. However, more research is needed for establishing its status as an acknowledged technostress instrument.
Background: Online meetings in Teams, Zoom and Google Meet have become a relevant part of daily activities in business, research and education. The Covid-19 pandemic forced employees to move from physical meetings to online meetings with very limited time to familiarize themselves with interfaces and functionalities of the applications. It has widely been reported that use of technology may stress people, and the phenomenon is known as technostress. However, the research about technostress due to online meetings and used tools has still been scarce. Objective: We aimed to measure technostress due to online meetings and its factors among university teachers and researchers, and clerical employees. We also aimed to compare which measure (dependent variable) would be the most reliable. Methods: A survey was conducted and the data were handled by SPSS-26 statistical package and AMOS. Statistical analyses were done by linear regressions, correlations, analysis of variance, and both experimental and confirmatory factor analysis. The used dependent variables of analyses were the sum variables of Cohen-4 stress measure and Salanova's technostress measure. Results: Analyses showed that increased online meeting hours due to Covid-19 pandemic has statistically significant impact on perceived technostress. The impact of user interfaces of online meeting tools on perceived technostress was the most relevant factor. Other significant factors were e.g., information security and topics of the meetings. Technostress between genders was statistically non-significant but age was a significant factor. Cohen-4 stress measure was not adequate for technostress assessments, whereas Salanova's technostress measure worked well. Conclusion: Covid-19 pandemic has had an impact on the use of online meetings tools. Even if tools have been useful and the relevant part of office work, the use of tools may affect technostress. The most relevant factor for technostress was the user interfaces. Based on the result, we recommend software companies to focus on developing user interfaces and assessing user experiences of online meeting tools.
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