Aim/Purpose: Assess the affordances and constraints of SimReal+ in teacher education Background There is a huge interest in visualizations in mathematics education, but there is little empirical support for their use in educational settings Methodology: Single case study with 22 participants from one class in teacher education. Quantitative and qualitative methods to collect students’ responses to a survey questionnaire and open-ended questions Contribution: The paper contributes to the understanding of affordances and constraints of visualization tools in mathematics education Findings: The visualization tool SimReal+ has potential for learning mathematics in teacher education, but the user interface should be improved to make it more usable for different users. Teachers need to consider technological and pedagogical affordances of SimReal+ at the student, classroom, and mathematics subject level Recommendations for Practitioners: Address technological and pedagogical affordances of SimReal+ Recommendation for Researchers: Improve the design of SimReal+ to make it technologically and pedagogically more usable Impact on Society: Understand the affordances and constraints of visualization tools in education Future Research: Implement a next cycle of experimentation with SimReal+ in teacher education to ensure more validity and reliability

Aim/Purpose: This paper describes and information system for the maintenance and management of municipal lighting systems that also serves as a decision support tool for reducing power consumption on urban lighting. Background: Many municipalities are financially constrained and unable to invest in improving their lighting infrastructure. We propose a very efficient and inexpensive way to set up the database and provide city leaders with tools to improve their system efficiently. Methodology: An information database for the data management and an Integer Programming model for deriving the optimal investment plan. Contribution: This paper contributes to the fields of urban economics and sustainability. Findings: Informing management and workers about the status of the system and how to optimize it will reward the city with considerable savings and improve the service quality. Recommendations for Practitioners: The application of this model, even in a small scale such as a neighborhood can improve citizen’s quality of life without a heavy burden on the city budget. Recommendation for Researchers: There is a growing need for cost-effective means to improve urban management. Innovative ideas that meet these goals should be researched and developed. Impact on Society: First, it allows reduction in carbon emissions and light pollution by reducing power consumption and over-luminous lighting levels. Second, financially constrained municipalities can manage their systems at a very low cost. Future Research: A full scale application is needed in order to evaluate the city-wide benefits of the system.

Aim/Purpose: This research study explores the challenges, successes, and supports de-sired in implementing virtual learning following a survey of faculty for their experiences and interests. Faculty in higher education need quick, practical tools and strategies to enhance teaching and learning in a virtual classroom. Background The sudden and ongoing COVID-19 pandemic had created an urgency to transition to a virtual learning environment, yet expectations for faculty to teach virtually may not have matched best practice and current research. Methodology: This qualitative research begins with an anonymous, emailed survey of higher education faculty designed to explore participant thoughts and experiences related to their virtual teaching in Fall 2020. The survey included a series of demographic questions related to what type of faculty they were (full-time or adjunct), which discipline they taught, which format they were teaching in, as well as 5 open-ended questions to elicit feedback to teaching in this format of their challenges, some positives, strategies used, how they assessed learning, and which workshops they would like offered to better support them. A full year after the pandemic began, we sent out a follow-up survey to check in with faculty and find out specifically new skills/mindsets they developed, new tools they may have tried, their level of stress as well as how they perceived their students’ stress and their students’ level of learning. We decided to broaden our population by sharing the follow-up survey via social media to capture a diverse audience, which included international participants. Contribution: Despite the different stress levels for most faculty and students during the pandemic of 2020-2021, our research highlights that it was also a time of growth and learning. Learning from past experiences can help us be pre-pared for future challenges related to virtual learning. Findings: We found that the emergency remote teaching caused faculty to explore new ways of teaching and learning and helped them to develop a mindset that embraced a variety of skills such as flexibility, creativity, and innovation. We also learned that being aware of the stress levels of both faculty and students is of great value to institutions and with a good infrastructure and support, virtual learning can be successful. Recommendations for Practitioners: Through our research, we have found faculty are lacking the tools necessary to engage their learners in a virtual setting. As such, best practices need to be shared and then embedded into the instructional approach. However, given the pandemic, faculty were forced to transition face to face classes to a virtual format without having been provided these best practices. Recommendations for Researchers: We recommend researchers explore the habits of minds of faculty and how they have developed and continue to develop due to challenges they experienced related to virtual learning and continue to experience. Impact on Society: Many of the skills that faculty developed due to this emergency shift to virtual teaching during 2020 and beyond are skills faculty will have for life. With support and ideas faculty can implement quickly, faculty will be better prepared to provide instruction and create settings that enhance teaching and learning in a virtual setting. Future Research: Future research could include providing a voice for students by distributing a survey to the student body for their views and perceptions on virtual learning during the pandemic and moving forward.

This work investigated the suitability of a new tool for decision support in training programs of high performance athletes. The aim of this study was to find a reliable and robust measure of the fitness of an athlete for use as a tool for adjusting training schedules. We examined the use of heart rate recovery percentage (HRr%) for this purpose, using a two-phased approach. Phase 1 consisted of testing the suitability of HRr% as a measure of aerobic fitness, using a modified running test specifically designed for high-performance team running sports such as football. Phase 2 was conducted over a 12-week training program with two different training loads. HRr% measured aerobic fitness and a running time-trial measured performance. Consecutive measures of HRr% during phase 1 indicated a Pearson’s r of 0.92, suggesting a robust measure of aerobic fitness. During phase 2, HRr% reflected the training load and significantly increased when the training load was reduced between weeks 4 to 5. This work shows that HRr% is a robust indicator of aerobic fitness and provides an on-the-spot index that is useful for training load adjustment of elite-performance athletes.

Aim/Purpose: This journal paper seeks to understand historical aspects of data management, leading to the current data issues faced by organizational executives in relation to big data and how best to present the information to circumvent big data challenges for executive strategic decision making. Background: This journal paper seeks to understand what executives value in data visualization, based on the literature published from prior data studies. Methodology: The qualitative methodology was used to understand the sentiments of executives and data analysts using semi-structured interview techniques. Contribution: The preliminary findings can provide practical knowledge for data visualization designers, but can also provide academics with knowledge to reflect on and use, specifically in relation to information systems (IS) that integrate human experience with technology in more valuable and productive ways. Findings: Preliminary results from interviews with executives and data analysts point to the relevance of understanding and effectively presenting the data source and the data journey, using the right data visualization technology to fit the nature of the data, creating an intuitive platform which enables collaboration and newness, the data presenter’s ability to convey the data message and the alignment of the visualization to core the objectives as key criteria to be applied for successful data visualizations Recommendations for Practitioners: Practitioners, specifically data analysts, should consider the results highlighted in the findings and adopt such recommendations when presenting data visualizations. These include data and premise understanding, ensuring alignment to the executive’s objective, possessing the ability to convey messages succinctly and clearly to the audience, having knowledge of the domain to answer questions effectively, and using the right technology to convey the message. Recommendation for Researchers: The importance of human cognitive and sensory processes and its impact in IS development is paramount. More focus can be placed on the psychological factors of technology acceptance. The current TAM model, used to describe use, identifies perceived usefulness and perceived ease-of-use as the primary considerations in technology adoption. However, factors that have been identified that impact on use do not express the importance of cognitive processes in technology adoption. Future Research: Future research requires further focus on intangible and psychological factors that could affect technology adoption and use, as well as understanding data visualization effectiveness in corporate environments, not only predominantly within the Health sector. Lessons from Health sector studies in data visualization should be used as a platform.

Aim/Purpose: This work aims to present a knowledge modeling technique that supports the representation of the student learning process and that is capable of providing a means for self-assessment and evaluating newly acquired knowledge. The objective is to propose a means to address the pedagogical challenges in m-learning by aiding students’ metacognition through a model of a student with the target domain and pedagogy. Background: This research proposes a framework for social and meta-cognitive support to tackle the challenges raised. Two algorithms are introduced: the meta-cognition algorithm for representing the student’s learning process, which is capable of providing a means for self-assessment, and the social group mapping algorithm for classifying students according to social groups. Methodology : Based on the characteristics of knowledge in an m-learning system, the cognitive knowledge base is proposed for knowledge elicitation and representation. The proposed technique allows a proper categorization of students to support collaborative learning in a social platform by utilizing the strength of m-learning in a social context. The social group mapping and metacognition algorithms are presented. Contribution: The proposed model is envisaged to serve as a guide for developers in implementing suitable m-learning applications. Furthermore, educationists and instructors can devise new pedagogical practices based on the possibilities provided by the proposed m-learning framework. Findings: The effectiveness of any knowledge management system is grounded in the technique used in representing the knowledge. The CKB proposed manipulates knowledge as a dynamic concept network, similar to human knowledge processing, thus, providing a rich semantic capability, which provides various relationships between concepts. Recommendations for Practitioners: Educationist and instructors need to develop new pedagogical practices in line with m-learning. Recommendation for Researchers: The design and implementation of an effective m-learning application are challenging due to the reliance on both pedagogical and technological elements. To tackle this challenge, frameworks which describe the conceptual interaction between the various components of pedagogy and technology need to be proposed. Impact on Society: The creation of an educational platform that provides instant access to relevant knowledge. Future Research: In the future, the proposed framework will be evaluated against some set of criteria for its effectiveness in acquiring and presenting knowledge in a real-life scenario. By analyzing real student interaction in m-learning, the algorithms will be tested to show their applicability in eliciting student metacognition and support for social interactivity.

Aim/Purpose: This study uses a cosmetic virtual community (VC) as the research context and the UTAUT model as the theoretical structure aim to explore factors affecting the re-usage intentions of VC members. Background: The Internet use rate of VC was up to 50%, thereby implying that VC gained the attention of Internet users. Therefore, operating a VC will be an effective way to communicate with customers. However, to maintain an existing member is more efficient than creating a new one. As such, understanding determinants of VC members’ re-use intentions becomes important for firms. Methodology: Through an online survey, 276 valid responses were gathered. The collected data were examined by performing confirmatory factor analysis, structural equation modelling procedures, as well as the moderator analysis. Contribution: This study shows the importance in the context of online cosmetics-related VC, which was rarely explored before. We provide issues for future research, despite the accumulated academic literature related to UTAUT and VC. Findings: Results show that only performance expectancy and social influence significantly affecting re-usage intentions and only gender has moderating effects on the path from performance expectancy to VC re-use intention and from trust to VC re-use intention. Recommendations for Practitioners : This study found that users emphasized performance expectancy most of all. A cosmetic product-related VC should introduce products abundantly, offer useful information, and help people accomplish tasks quickly and productively. Recommendation for Researchers: Future researchers may use our findings to conduct further positivist research in the area of social influence using different subjects and research contexts.

Aim/Purpose: The first goal is to develop a decision support system for pricing and production amounts for a firm facing high levels of product returns. The second goal is to improve the management of the product returns process. Background: This study was conducted at a food importer and manufacturer in Israel facing a very high rate of product returns, much of which is eventually discarded. The firm’s products are commonly considered to be a low-cost generic alternative and are therefore popular among low-income families. Methodology: A decision support module was added to the plant’s business information system. The module is based on a supply chain pricing model and uses the sales data to infer future demand’s distribution. Ergonomic models were used to improve the design of the returns warehouse and the handling of the returns. Contribution: The decision support system allows to improve the plant’s pricing and quantity planning. Consequently, it reduced the size of product returns. The new design of the returns process is expected to improve worker’s productivity, reduces losses and results in safer outcomes. This study also demonstrates a successful integration and of a theoretical economical model into an information system. Findings: The results show the promise of incorporating pricing supply chain models into informing systems to achieve a practical business task. We were able to construct actual demand distributions from the data and offer actual pricing recommendations that reduce the number of returns while increasing potential profits. We were able to identify key deficiencies in the returns operations and added a module to the decisions support system that improves the returns management and links it with the sales and pricing modules. Finally, we produced a better warehouse design that supports efficient and ergonomic product returns handling. Recommendations for Practitioners: This work can be replicated for different suppliers, manufacturers and retailers that suffer from product returns. They will benefit from the reduction in returns, as well as the decrease in the losses associated with these returns. Recommendation for Researchers: It is worthwhile to research whether decision support systems can be applied to other aspects of the organizations’ operations. Impact on Society: Product returns is a lose-lose situation for producers, retailers and customers. Moreover, mismanagement of these returns is harmful for the environment and may result in the case of foods, in health hazards. Reducing returns and improving the handling improves sustainability and is beneficial for society. Future Research: The decision support system’s underlying pricing model assumes a specific business setting. This can be extended using other pricing models and applying them in a similar fashion to the current application.

Aim/Purpose: The present study examines the effect of perceived organisational and co-worker support on the adjustment of repatriates and its impact on their intention to transfer knowledge in multinational companies (MNCs). It also examines the relationship between perceived organisational support, co-worker support, and knowledge transfer through the mediating role of repatriate adjustment. Background: The ability of acquiring and utilising international knowledge is one of the core competitive advantages of MNCs. This knowledge is transferred by MNCs across their subsidiaries efficiently through repatriates, which will result in superior performance when compared to their local competitors. But in MNCs the expatriation process has been given more emphasis than the repatriation process; therefore, there is limited knowledge about repatriation knowledge transfer. Practically, the knowledge transferred by repatriates is not managed properly by the MNCs. Methodology: The proposed model was supported by Uncertainty Reduction Theory, Organisational Socialisation Theory, Organisational Support Theory, and Socialisation Resource Theory. The data were gathered from 246 repatriates working in Indian MNCs in the manufacturing and information technology sectors who had been on an international assignment for at least one year. The data obtained were analysed using Structural Equation Modeling (SEM) using AMOS 21 software. Contribution: The present study expands prior research on repatriate knowledge transfer by empirically investigating the mediating role of repatriate adjustment between perceived support and repatriate knowledge transfer in MNCs. The present study also highlights that organisational and co-worker support during repatriation is beneficial for repatriate knowledge transfer. It is important that MNCs initiate support practices during repatriation to motivate repatriates to transfer international knowledge. Findings: The results revealed that both perceived organisational and co-worker support had a significant role in predicting repatriate adjustment in MNCs. Furthermore, the results also revealed that perceived organisational and co-worker support increases repatriate knowledge transfer through repatriate adjustment in MNCs. Recommendations for Practitioners: This study indicates the role of management in motivating repatriates to transfer their knowledge to the organisation. The management of MNCs develop HR policies and strategies leading to high perceived organisational support, co-worker support, and repatriate adjustment. They need to pay particular attention to the factors that affect the repatriates’ intention to share knowledge with others in the organisation. Recommendation for Researchers: Researchers can use the validated measurement instrument which could be essential for the advancement of future empirical research on repatriate knowledge transfer. Impact on Society: The present study will assist MNCs in managing their repatriates during the repatriation process by developing an appropriate repatriation support system. This will help the repatriates to better adjust to their repatriation process which will motivate them to transfer the acquired knowledge. Future Research: Future research can adopt a longitudinal style to test the different levels of the adjustment process which will help in better understanding the repatriate adjustment process. Additionally, this model can be tested with the repatriates of other countries and in diverse cultures to confirm its external validity. Furthermore, future research can be done with the repatriates who go on an international assignment through their own initiative (self-initiated expatriates).

Aim/Purpose: The aim of this research paper is to suggest a comprehensive model that incorporates the technology acceptance model with the task-technology fit model, information quality, security, trust, and managerial support to investigate the intended usage of big data analytics (BDA) in banks and insurance companies. Background: The emergence of the concept of “big data,” prompted by the widespread use of connected devices and social media, has been pointed out by many professionals and financial institutions in particular, which makes it necessary to assess the determinants that have an impact on behavioral intention to use big data analytics in banks and insurance companies. Methodology: The integrated model was empirically assessed using self-administered questionnaires from 181 prospective big data analytics users in Moroccan banks and insurance firms and examined using partial least square (PLS) structural equation modeling. The results cover sample characteristics, an analysis of the validity and reliability of measurement models’ variables, an evaluation of the proposed hypotheses, and a discussion of the findings. Contribution: The paper makes a noteworthy contribution to the BDA adoption literature within the finance sector. It stands out by ingeniously amalgamating the Technology Acceptance Model (TAM) with Task-Technology Fit (TTF) while underscoring the critical significance of information quality, trust, and managerial support, due to their profound relevance and importance in the finance domain. Thus showing BDA has potential applications beyond the finance sector. Findings: The findings showed that TTF and trust’s impact on the intention to use is considerable. Information quality positively impacted perceived usefulness and ease of use, which in turn affected the intention to use. Moreover, managerial support moderates the correlation between perceived usefulness and the intention to use, whereas security did not affect the intention to use and managerial support did not moderate the influence of perceived ease of use. Recommendations for Practitioners: The results suggest that financial institutions can improve their adoption decisions for big data analytics (BDA) by understanding how users perceive it. Users are predisposed to use BDA if they presume it fits well with their tasks and is easy to use. The research also emphasizes the importance of relevant information quality, managerial support, and collaboration across departments to fully leverage the potential of BDA. Recommendation for Researchers: Further study may be done on other business sectors to confirm its generalizability and the same research design can be employed to assess BDA adoption in organizations that are in the advanced stage of big data utilization. Impact on Society: The study’s findings can enable stakeholders of financial institutions that are at the primary stage of big data exploitation to understand how users perceive BDA technologies and the way their perception can influence their intention toward their use. Future Research: Future research is expected to conduct a comparison of the moderating effect of managerial support on users with technical expertise versus those without; in addition, international studies across developed countries are required to build a solid understanding of users’ perceptions towards BDA.

Aim/Purpose: This research aims to develop a smart agricultural knowledge management framework to empower emergent farmers and extension officers (advisors to farmers) in developing countries as part of a smart farming lab (SFL). The framework utilizes knowledge objects (KOs) to capture information and knowledge of different forms, including indigenous knowledge. It builds upon a foundation of established agricultural knowledge management (AKM) models and serves as the cornerstone for an envisioned SFL. This framework facilitates optimal decision support by fostering linkages between these KOs and relevant organizations, knowledge holders, and knowledge seekers within the SFL environment. Background: Emergent farmers and extension officers encounter numerous obstacles in their knowledge operations and decision-making. This includes limited access to agricultural information and difficulties in applying it effectively. Many lack reliable sources of support, and even when information is available, understanding and applying it to specific situations can be challenging. Additionally, extension offices struggle with operational decisions and knowledge management due to agricultural organizations operating isolated in silos, hindering their access to necessary knowledge. This research introduces an SFL with a proposed AKM process model aimed at transforming emergent farmers into smart, innovative entities by addressing these challenges. Methodology: This study is presented as a theory-concept paper and utilizes a literature review to evaluate and synthesize three distinct AKM models using several approaches. The results of the analysis are used to design a new AKM process model. Contribution: This research culminates in a new AKM process framework that incorporates the strengths of various existing AKM models and supports emergent farmers and extension officers to become smart, innovative entities. One main difference between the three models analyzed, and the one proposed in this research, is the deployment and use of knowledge assets in the form of KOs. The proposed framework also incorporates metadata and annotations to enhance knowledge discoverability and enable AI-powered applications to leverage captured knowledge effectively. In practical terms, it contributes by further motivating the use of KOs to enable the transfer and the capturing of organizational knowledge. Findings: A model for an SFL that incorporates the proposed agricultural knowledge management framework is presented. This model is part of a larger knowledge factory (KF). It includes feedback loops, KOs, and mechanisms to facilitate intelligent decision-making. The significance of fostering interconnected communities is emphasized through the creation of linkages. These communities consist of knowledge seekers and bearers, with information disseminated through social media and other communication integration platforms. Recommendations for Practitioners: Practitioners and other scholars should consider implementing the proposed AKM process model as part of a larger SFL to support emergent farmers and extension officers in making operational decisions and applying knowledge management strategies. Recommendation for Researchers: The AKM process model is only presented in conceptual form. Therefore, researchers can practically test and assess the new framework in an agricultural setting. They can also further explore the potential of social media integration platforms to connect knowledge seekers with knowledge holders. Impact on Society: The proposed AKM process model has the potential to support emergent farmers and extension officers in becoming smart, innovative entities, leading to improved agricultural practices and potentially contributing to food security. Future Research: This paper discusses the AKM process model in an agrarian setting, but it can also be applied in other domains, such as education and the healthcare sector. Future research can evaluate the model’s effectiveness and explore and further investigate the semantic web and social media integration.

The main aim of this paper is to provide a theoretically and empirically grounded discussion on IT-based organizational creativity support. This study attempts to answer the following questions: (1) what is the issue of organizational creativity and its IT-based support, (2) what is the demand for IT –based organizational creativity support; (3) what are the main determinants and barriers to IT-based organizational creativity support; and (4) what success factors are crucial for IT-based organizational creativity support. This paper presents the analysis results of a survey conducted in 25 selected organizations. The paper provides valuable information on the possibilities of IT applications in organizational creativity support as well as the associated success factors. It makes useful contribution to our better understanding of IT-based organizational creativity support issues.

Aim/Purpose: The aim of this study is to examine the role of psychological ownership for safety in boosting employee performance and the impact of Perceived Organizational Support for Safety (POSS) on workers’ well-being, considering the psychological aspects associated with workplace safety and exploring the mediating effect of employees’ commitment. Background: It is widely recognized that promoting workplace safety goes beyond purely physical measures and must also consider the psychological aspects associated with safety management. However, while some studies have shown the direct effect of POSS and Safety Ownership on safety outcomes, very few studies have explored the underlying mediating mechanism, as well as their impact on distal outcomes, such as well-being and performance. Methodology: The cross-sectional study was conducted on a convenience sample of a metal mechanic enterprise’s employees through an online self-assessment questionnaire. Contribution: This study contributes to understanding the mechanisms through which psychological ownership for safety, organizational support for safety, and psychological factors related to safety collectively influence organizational outcomes. Findings: Two indirect significant effects are described. The first is between POSS and well-being, and the second significant relation is between psychological ownership for safety and job performance. When employees perceive that their organization cares about safety, they will experience a stronger sense of commitment and, in turn, they will be more satisfied in the work context, and they will improve their job performance. Recommendation for Researchers: Researchers should take a transdisciplinary approach to enable the integration of knowledge and perspectives from different fields that are essential to understanding the full range of implications and applications of safety management. Future Research: It could be interesting to investigate a different point of view on safety (e.g., top management or health and safety officers) and explore concerns about how to successfully communicate and transfer safety climate during remote working activities.

Aim/Purpose: This study builds upon existing research by investigating the elements contributing to or buffering the onset of burnout symptoms. We examine the relationship between empowering leadership and burnout, considering the concurrent mediation effects of interpersonal workplace conflict, work-home conflict, and support from coworkers. Background: Burnout is a phenomenon that has been widely considered in the scientific literature due to its negative effect on individual and organizational well-being, as well as implications for leadership, coworker support, and conflict resolution. A deeper understanding of burnout prevention strategies across various professional contexts is paramount for enhancing productivity and job satisfaction. Methodology: Using a survey-based cross-sectional design, we employed a combination of Structural Equation Modelling (SEM) and Artificial Neural Network (ANN) to investigate the direct and indirect influences of empowering leadership on four dimensions of employee burnout, mediated by coworker support, interpersonal conflict at work, and work-home conflict. Contribution: This study provides initial insights into the direct and indirect influences of empowering leadership on various dimensions of burnout, highlighting the complex interplay with coworker support, work-home conflict, and workplace interpersonal conflicts. Ultimately, the study provides a comprehensive approach to understanding and mitigating burnout. Findings: Empowering leadership and coworker support can significantly reduce burnout symptoms, while high levels of work-home conflict and interpersonal conflict at work can exacerbate them. Our findings underscore the paramount role of interpersonal conflict in predicting burnout, urging organizations to prioritize resolving such issues for burnout prevention. Recommendation for Researchers: Following our findings, organizations should (a) promote empowering leadership styles, (b) foster coworker support and work-life balance, and (c) address interpersonal conflicts to reduce the likelihood of employee burnout while ensuring that these strategies are tailored to the specific context and culture of the workplace. Future Research: Future research should broaden the exploration of leadership styles’ effects on burnout, identify additional mediators and moderators, expand studies across sectors and cultures, examine differential impacts on burnout dimensions, leverage advanced analytical models, and investigate the nuanced relationship between work contract types and burnout.

Aim/Purpose: The study aims to examine the mediating role of job motivation and affective and normative commitment on the relationship between perceived organizational support (POS) and job turnover intention. Background: POS refers to employees’ beliefs and perceptions concerning the extent to which the organization values their contributions, cares about their well-being, and fulfils their socio-emotional needs. To date, research has shown that employee turnover is a complex construct resulting from the interplay of both individual and organizational variables, such as motivation and climate. Methodology: Cross-sectional data were collected from 143 employees of an Italian industrial company. Paper-and-pencil questionnaires were used to assess respondents’ POS, job motivation, affective and normative organizational commitment, and turnover intentions. Contribution: Specifically, in this research, we aim at examining (i) the indirect effect of POS on turnover intention via (ii) job motivation and (iii) normative and affective commitment. Findings: Results show that high POS is associated with high levels of job motivation and affective and normative commitment, which in turn are negatively linked to turnover intentions. Recommendation for Researchers: Researchers should not lose sight of the importance of studying and delving into the concept of turnover intention given that, from an organizational point of view, losing personnel means losing competencies, which need to be replaced through assessment, selection, training, and development, processes that are often challenging and expensive. Future Research: Future research should further investigate the role of motivation and commitment, other than additional variables, for POS and turnover intention. Longitudinal studies and further testing are required to verify the causal processes stemming from our model. Future research could consider linking employees’ self-reported measures with objective data concerning turnover rates.

Aim/Purpose: With a focus on promoting sustainable career paths, this article investigates the intricate relationship between age diversity management and techno-complexity, emphasizing the pivotal role of a supportive work environment. Background: In the modern workplace, the dynamics of age diversity emerge as a crucial element influencing the well-being and productivity of employees, particularly amidst the swiftly evolving digital landscape. This becomes especially pertinent when considering workers’ unique challenges adapting to technological advancements. Methodology: Utilizing a cross-sectional design, data were collected from 160 employees in an Italian multinational company within the metalworking sector. Contribution: This study provides valuable insights into the complex dynamics between the aging climate, colleagues’ support, and techno-complexity. It emphasized the importance of considering the direct effects of organizational factors and their in-direct influences through social dynamics and support structures within the workplace. Findings: The results revealed the mediating role of colleagues’ support in the relationship between the aging climate and techno-complexity. These findings highlight the importance of a supportive work environment in the context of sustainable career development, contributing to a comprehensive understanding of diversity management within the modern digital era. Recommendation for Researchers: Our results open to a series of implications and future directions. First, the unexpected finding regarding the direct relationship between the aging climate and technostress calls for a deeper exploration of the intricacies involved. Future studies could delve into specific organizational contexts, technological demands, and individual differences that may modulate this relationship. Future Research: Future studies could delve into specific organizational contexts, technological demands, and individual differences that may modulate this relationship.

In a series of qualitative and quantitative studies, we developed a model of the functions of positive work relationships, with an explicit focus on the role that these relationships play in employee flourishing. Stories that employees told about positive relationships at work revealed that relationships serve a broad range of functions, including the traditionally-studied functions of task assistance, career advancement, and emotional support, as well as less studied functions of personal growth, friendship, and the opportunity to give to others. Building on this taxonomy, we validated a scale - the Relationship Functions Inventory - and developed theory suggesting differential linkages between the relationship functions and outcomes indicative of employee flourishing. Results revealed unique associations between functions and outcomes, such that task assistance was most strongly associated with job satisfaction, giving to others was most strongly associated with meaningful work, friendship was most strongly associated with positive emotions at work, and personal growth was most strongly associated with life satisfaction. Our results suggest that work relationships play a key role in promoting employee flourishing, and that examining the differential effects of a taxonomy of relationship functions brings precision to our understand of how relationships impact individual flourishing.

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Contact Group on Jammu and Kashmir holds virtual meeting in NY

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Extensive research highlights the anxiety and stress working mothers face while balancing their work and family life.

Washington had sanctioned China-based companies in October 2023 for supplying missile-applicable items to Pakistan

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Supporters Imran Khan sit on scaffoldings in Rawalpindi, on November 26, 2022. — ReutersProtests to be staged across Pakistan and globally, says lawyer.This is final call for anti-govt protest, lawyer quotes Imran.Imran's sister says stage set for 10-year-long martial law.

Conspiracy theorist Alex Jones' Infowars broadcasts could end next week as he faces a court-ordered auction of his company's assets to help pay the more than $1 billion defamation judgment he owes families of victims of the Sandy Hook Elementary School shooting.

The 2014 SCIENCE POLICY SYMPOSIUM to support the implementation of the 2020 Biodiversity strategy and the EU Water Framework Directive will be held between 29-30 Jan 2014 in the Museum of Natural Sciences (RBINS), Brussels. The symposium is jointly organised by the EU FP7 funded projects BioFresh and REFRESH.

Numerous EU biodiversity and water related policies have been designed to protect freshwater ecosystems and ensure their sustainable use. However, major challenges still persist in the implementation of these policies. Freshwater ecosystems support 10% of all animal species on Earth and provide a diverse array of functions and services that contribute to human well-being. In recent decades global freshwater biodiversity has declined at a greater rate compared to terrestrial and marine ecosystems.

The Science Policy Symposium for Freshwater Life is organised with the aim of bringing together policy makers and stakeholders from the water, energy and conservation sector, NGOs, the scientific community and selected experts to discuss challenges to implementing the 2020 Biodiversity strategy and the EU Water Framework Directive.

Contact: waterlives.commitee@freshwaterbiodiversity.eu

The European Space Agency (ESA) is Europe’s gateway to space. Its mission is to shape the development of Europe’s space capability and ensure that investment in space continues to deliver benefits to the citizens of Europe and the world.  ESA is an international organisation with 20 Member States.

How is EU BON connected to space research? As a speaker at the EU BON General Meeting, which took place on Crete between 30 March - 3 April 2014, Marc Paganini of the European Space Agency explains the collaboration between ESA and GEO BON, and how EU BON is involved.

In the following interview he continues the topic:

Marc Paganini (left) and Dirk Schmeller (right) at the EU BON General Meeting 2014

1) For most of the general public space and biodiversity research hardly have anything to do with each other, can you explain how the European Space Agency (ESA) and the idea of remote sensing communities make these two meet?

It is widely recognized that in-situ observations available on biological diversity are very scarce for most of the Earth’s ecosystems and are often insufficient for determining precisely the global status and trends of biodiversity worldwide. In most cases, satellite Earth Observations do not provide a direct measurement of biodiversity but, if properly used with ground collection of biodiversity data and species and habitat modeling, remote sensing can become an important and essential component of biodiversity monitoring systems. There are multiple cases where remote sensing is often the only instrument that can offer large scale monitoring, as for example in highly variable ecosystems such as wetlands or in remote areas that can hardly be monitored by field campaigns.

The recent and future evolution of the portfolio of EO satellites offers huge potential for increasing the use of EO products into biodiversity monitoring systems. The lack of data continuity has always been a barrier for the biodiversity community to invest in EO technology.  A commitment from Space Agencies to provide sustained observations on the long term is a strong incentive for the biodiversity community to invest in Space. The Sentinel series of the European Copernicus program, together with the freely available data from other space agencies such as the Landsat family of the US Geological Survey, will bring unprecedented long-term continuity of observations for the biodiversity community. In that context, free and open data policy to taxpayer-funded satellite remote sensing imagery is becoming a "de facto" standard amongst Space Agencies and a unique opportunity for the biodiversity community to use widely EO products to monitor biodiversity trends.

2) How is the ESA involved with the aims of EU BON, where do the two initiatives intersect?

ESA and many other Space Agencies are becoming more and more committed in helping the biodiversity community at large, in improving their capacity to use remote sensing data for monitoring biodiversity trends.

First there is a coordinated action from all Space Agencies through the Committee on Earth Observation Satellites (CEOS) and its involvement in the Group of Earth Observation (GEO). The GEO is a voluntary partnership of governments and international organizations who engaged jointly in developing a comprehensive, coordinated and sustained system of observations of the Earth with the ultimate objective to enhance scientifically-sound decision making. Biodiversity is one of the primary societal benefit areas of GEO and is addressed by the GEO Biodiversity Observation Network (GEO BON). CEOS is actively involved in GEO BON, principally through the participation to its steering committee of the European, US and German Space Agencies, namely ESA, NASA and DLR. Since EU BON is the principal European contribution to GEO BON, and has, amongst its objectives, the aim to integrate biodiversity data from ground observations to remote sensing information, ESA is directly concerned by the EU BON development in using remote sensing for terrestrial, freshwater and marine realms.

Second, ESA has its own EO application development programs, and funds a wide range of Research & Development projects for biodiversity and ecosystem services. In that context, ESA has established close relationships with the European Environment Agency (EEA) but also with the secretariats and scientific bodies of major Multilateral Environmental Agreements (MEA) such as the Convention on Biological Diversity (CBD) and the Ramsar Convention on wetlands. The findings of the ESA-funded EO projects on biodiversity and ecosystem services are highly relevant to EU BON. It is therefore expected that the ESA and EU BON activities in relation to the use of RS for biodiversity monitoring will offer some convergence of evidence showcases for the whole biodiversity community.

3) How do you see the future of collaboration with EU BON?

The high potential for satellite Earth Observations to support biodiversity monitoring is growing but is yet to be fully realised. The recent efforts of GEO BON, supported by the GEO Plenary and the CBD Conference of the Parties, to define a set of minimum essential observational requirements to monitor biodiversity trends will give considerable impetus for space agencies and for the remote sensing community to focus their work on a small set of well defined EO products that will serve the needs of the biodiversity community at large. In that context ESA is firmly engaged in supporting the development of these emerging Essential Biodiversity Variables (EBVs). EU BON together with ESA can be pioneers in the early development and demonstration.

One of our recent associated partners, the EU project GLOBIS-B has published its first paper: "Towards global interoperability for supporting biodiversity research on essential biodiversity variables (EBVs)". You can find the article here.

Abstract: 

Essential biodiversity variables (EBVs) have been proposed by the Group on Earth Observations Biodiversity Observation Network (GEO BON) to identify a minimum set of essential measurements that are required for studying, monitoring and reporting biodiversity and ecosystem change. Despite the initial conceptualisation, however, the practical implementation of EBVs remains challenging. There is much discussion about the concept and implementation of EBVs: which variables are meaningful; which data are needed and available; at which spatial, temporal and topical scales can EBVs be calculated; and how sensitive are EBVs to variations in underlying data? To advance scientific progress in implementing EBVs we propose that both scientists and research infrastructure operators need to cooperate globally to serve and process the essential large datasets for calculating EBVs. We introduce GLOBIS-B (GLOBal Infrastructures for Supporting Biodiversity research), a global cooperation funded by the Horizon 2020 research and innovation framework programme of the European Commission. The main aim of GLOBIS-B is to bring together biodiversity scientists, global research infrastructure operators and legal interoperability experts to identify the research needs and infrastructure services underpinning the concept of EBVs. The project will facilitate the multi-lateral cooperation of biodiversity research infrastructures worldwide and identify the required primary data, analysis tools, methodologies and legal and technical bottlenecks to develop an agenda for research and infrastructure development to compute EBVs. This requires development of standards, protocols and workflows that are ‘self-documenting’ and openly shared to allow the discovery and analysis of data across large spatial extents and different temporal resolutions. The interoperability of existing biodiversity research infrastructures will be crucial for integrating the necessary biodiversity data to calculate EBVs, and to advance our ability to assess progress towards the Aichi targets for 2020 of the Convention on Biological Diversity (CBD).

Original Source:

W. Daniel Kissling et. al. (2015) Towards global interoperability for supporting biodiversity research on essential biodiversity variables (EBVs). Biodiversity. DOI: 10.1080/14888386.2015.1068709

The 11th European Projects GEO Workshop took place between 19-21 June 2017, in Helsinki, Finland, bringing together European stakeholders interested in and actively contributing to the Global Earth Observations System of Systems (GEOSS).

Alongside the plenary (see presentations here), the conference featured 20 sessions looking at various aspects GEOSS, its objectives and their implementation.

Among those EU BON took part in a dedicated session titled ‘How Ecosystem and Biodiversity data and knowledge can support the GEO objectives’, alongside fellow projects and initiatives, and associated partners ECOPOTENTIAL, LTER-Europe, GLOBIS-B, EKLIPSE and ENEON.

Credit: F. Wetzel

The session aimed to inform about recent developments of relevant projects that focus on Ecosystems and Biodiversity and also outline how the generated data and knowledge can support the GEO objectives and inform relevant policies on a European and global scale.  

.@ft_wetzel explaining the @EUBON1 approach to mobilising linked and standardised data #EGW2017 #citizenscience #harmonisation #biodiversity pic.twitter.com/jJJ5jADAzG

— Scent (@SCENT_EU) June 20, 2017

EU BON, as a now completed project, opened the session by presenting its major products in particular the European Biodiversity Portal and how current and future projects can build on the outcomes achieved.

Overall, the session gave the opportunity to learn about the different approaches of selected EU-projects that address the mobilization, integration and analysis of biodiversity and ecosystem data, their current achievements and existing barriers. Here are some of the Key Messages that emerged from the session: 

• For biodiversity and ecosystem approaches, European level efforts are needed to achieve comprehensive data coverage and full open access, especially for in situ data integration.
• Existing European-level data portals and information platforms need to be sustained and considered as integration points for national and local data hubs. 
• Systematic approaches for biodiversity are needed, which means linking biotic and abiotic data and improving harmonization efforts for the whole data cycle/ workflows from data collection, analysis and dissemination for different disciplines (SBAs). 
• Essential (Biodiversity) Variables (EBVs) are a key concept / framework especially for monitoring / long-term observations that should be applied for all available biodiversity/ecosystem data fields.
• Use examples from existing projects and networks as successful blueprints for bottom-up/user-driven approaches in GEOSS that relate to knowledge and user needs at the local scale. 

The 2014 SCIENCE POLICY SYMPOSIUM to support the implementation of the 2020 Biodiversity strategy and the EU Water Framework Directive will be held between 29-30 Jan 2014 in the Museum of Natural Sciences (RBINS), Brussels. The symposium is jointly organised by the EU FP7 funded projects BioFresh and REFRESH.

Numerous EU biodiversity and water related policies have been designed to protect freshwater ecosystems and ensure their sustainable use. However, major challenges still persist in the implementation of these policies. Freshwater ecosystems support 10% of all animal species on Earth and provide a diverse array of functions and services that contribute to human well-being. In recent decades global freshwater biodiversity has declined at a greater rate compared to terrestrial and marine ecosystems.

The Science Policy Symposium for Freshwater Life is organised with the aim of bringing together policy makers and stakeholders from the water, energy and conservation sector, NGOs, the scientific community and selected experts to discuss challenges to implementing the 2020 Biodiversity strategy and the EU Water Framework Directive.