Social Collaboration Research Articles

Increasing Social Care Through Civic Education in Higher Education

This study aims to build social care through an engagement-based Civic Education curriculum at Universitas Negeri Yogyakarta/UNY whose students have diverse backgrounds. This study was developed based on the qualitative approach through 1) a focus group discussion to examine the engagement learning model in the Civic Education curriculum, 2) a workshop on the development of engagement learning models, 3) expert validation using the engagement learning model instrument, 4) implementation of engagement learning model, and 5) reflections on the engagement learning model implementation. The results of this study show that the Engagement Learning Model can improve social care shown from mutual respect for diversity, social cohesion, sympathy for others, and volunteerism. The researcher used the social value theory to analyze students’ social care. This engagement learning model can develop a social collaboration that promotes the unique characteristics of each student. Students are trained to be critical and socially sensitive through an engagement project consisting of social activities in the community in Civic Education learning. Increasing students' care from Civic Education may positively influence students' knowledge, attitudes, and social relations in their groups and outside their groups, respect and acceptance of diversity, social cohesion that forms cooperation, sympathy for others that form social solidarity, as well as a sense of volunteerism that makes students provide solutions to social problems.

Mixed Reality for a collective and adaptive mental health metaverse.

This research paper explores the significant transformative potential of Mixed Reality (MR) technology as enabler of the metaverse, specifically aimed at enhancing mental health therapies. The emerging world of the metaverse, a multiuser, adaptive, three-dimensional digital space, paired with the interactive and immersive benefits of MR technology, promises a paradigm shift in how mental health support is delivered. Unlike traditional platforms, MR allows for therapy within the comfort of the user's familiar surroundings, while incorporating the benefits of social collaboration and interactions. The metaverse environment fosters heightened personalization and deeper user engagement, thereby offering a more tailored approach to computerized therapy. Beyond its immersive capabilities, MR offers potential for real-time, smart adaptations to the users' psycho-physiological state, targeting unique patients' needs on a diverse spectrum of therapeutic techniques, thus broadening the scope of mental health support. Furthermore, it opens avenues for continuous emotional support in everyday life situations. This research discusses the benefits and potentials of integrating MR within a mental health metaverse, highlighting how this innovative approach could significantly complement traditional therapeutic methods, fostering improved treatment efficacy, focusing on social and collective experiences, and increasing patient engagement.

Emerging E-learning trends: A study of faculty perceptions and impact of collaborative techniques using fuzzy interface system

This study explores the emerging trends in e-learning from the perspective of university faculty, who play a crucial role in shaping the future of education. The rapid shift to digital education during and after COVID-19 has presented challenges for university faculty to grapple with new e-learning technologies. A qualitative research design was used to develop deep insights into upcoming e-learning trends. Data were collected from a sample of 70 teachers (35 males and 35 females) through a random sampling from the university faculty in the capital territory of Pakistan. The data collected through semi-structured interviews was analyzed qualitatively for thematic analysis using a fuzzy inference system on MATLAB, resulting in a system accuracy of 92% and a miss rate of 8%. The study identified important e-learning trends such as artificial intelligence, video-based learning, social collaboration, mobile learning, gamification, and micro-learning, emphasizing their potential for engagement and outcomes. The implementation of these strategies can significantly impact the education system, particularly on learning systems. The findings underscore the importance of universities focusing on strategic planning and faculty development. Moreover, institutes that adopt ethical policies can transform the academic environment and establish innovative structures that benefit both teachers' work and foster students' engagement, ultimately leading to improved efficiency and effectiveness. The study's findings are crucial for shaping the future of e-learning and its potential impact on the education system.

Time Ahead Inclinations in Sustainable Supply Chain Management using Artificial Intelligence: A Bibliometric Approach

Sustainable Supply Chain Management [SSCM] focuses on integrating environmentally sustainable practices into supply chains to balance economic growth with environmental care and social responsibility. The adoption of Artificial Intelligence [AI] in SSCM is revolutionizing supply chain operations by offering new opportunities for efficiency, transparency, and sustainability. The research paper is basically done to find out the field's trends and current research status. Further, the aim of the research is to derive the major concepts and social collaboration on study. The study highlights the emergence of block chain technology as a significant area of interest within SSCM and AI, alongside the importance of green supply chain practices and big data utilization for enhancing sustainability and management practices. The paper underscores the potential of AI-driven technologies, such as predictive analytics and machine learning, to improve supply chain management by enhancing decision-making accuracy, reducing inefficiencies, and promoting sustainable practices. The most used terms in the research are Artificial Intelligence, Supply Chain, Decision Support Systems, Decision Making, and performance. The paper explores three main themes; these include the emergence of block chain technology, the interplay between AI and green supply chain practices, and the significance of management practices alongside big data and sustainability considerations. This thematic analysis suggests areas with potential for further research and development. This paper underscores the critical role of AI in advancing sustainable supply chain practices and outlines the current state of research, key contributors, and future directions in this interdisciplinary field.

Data Preprocessing for Cross-System Analysis: The DaProXSA Approach

The domain of Social Collaboration Analytics (SCA) is gathering momentum due to the increasing importance of Enterprise Collaboration Systems (ECS) that are used to build performant digital workplaces. ECS collect and store large amounts of digital trace data, which reflect the collaborative work of employees. Collaborative work activity is usually supported by multiple systems, which complicates the analysis of the digital traces. The cross-system analysis of collaborative work is challenging because of the nature of the log files that are stored in heterogeneous formats and at different levels of log granularity. These challenges cannot easily be overcome with the help of existing approaches for data preprocessing. In this paper, approaches and frameworks for data mining, data preprocessing and SCA are adapted to design a special method for Social Process Mining (SPM). The DaProXSA approach was developed to obtain interpretable, high-quality event logs of multiple ECS and builds on existing literature as well as on findings from an analysis of leading ECS. DaProXSA contributes to the aim of discovering and interpreting patterns and processes that occur in computer-mediated collaborative work.

The Commercial Application Scenario and Development Path of Intelligent Manufacturing and New Energy Integration

This paper deeply discusses the commercial application scenarios and development paths of the integration of intelligent manufacturing and new energy. By summarizing the basic knowledge of intelligent manufacturing and new energy, the importance and motivation of the integration of the two are highlighted. This paper analyzes the application status of intelligent manufacturing and new energy in automobile manufacturing, construction industry and energy Internet, and puts forward the path of technological innovation, policy promotion, business model innovation and social cooperation for the future development. At the same time, the research points out the technical challenges, policy challenges, business model challenges and social collaboration challenges faced by the integration of intelligent manufacturing and new energy, and provides specific countermeasures for each challenge. Finally, the paper summarizes the results and prospects the future developments.

DISRUPSI MENURUT FRANCIS FUKUYAMA DAN IMPLIKASINYA PADA TATANAN SOSIAL

Technology is advancing faster than humans can regulate it. All around us, we can see the positive and negative developments brought about by the ever-evolving technology. Experts refer to these modifications as disruptions. This article will examine disruption through the eyes of Francis Fukuyama. Fukuyama, who views disruption from a more complicated social perspective, does not share Christensen's view that it has a positive influence, particularly economically. Fukuyama called this change The Great Disruption. A significant change that led to a significant shift in the social order. Fukuyama breaks it down into three main categories: rising crime or criminality, deteriorating family dynamics, and a growing circle of distrust. To deal with this shift, people must recognize that they are social beings with the ability to organize themselves, which is a return to human nature. In practical terms, social capital and the social order provide two grounds for support. The first is biological support, which comes from the very essence of humanity. The second is human reasoning ability, which comes up with solutions to issues of social collaboration on its own.

Provisioning the Counter-City: Alternative imaginaries of urban futures from Harare, Zimbabwe

Drawing from critical urbanists, this article conceptualizes provisionality—flexible, improvisational, and adaptable practices, as an ethos and practice that holds utility and possibility for alternatively understanding cities in ways that counter conventional modernist imaginaries of urban life and spaces. By attending to how cities are rather than how they “should be,” this article offers a conceptual and analytic counter to re-animate, re-imagine, and re-world cities beyond conventional and modernist frames. Using ethnographic observations supplemented by 22 semi-structured interviews, I trace how Hararians' provisional approaches to surviving political and economic precarity reveal collaborative networks and transgressive cross-border economic communities. I argue that the relationalities and spatialities of people's interdependent and provisional arrangements reveal economic circumventions, social collaborations, and spatial transgressions, across and beyond the city that push back against static modernist renderings of the urban. This reading of the counter-city examines the ephemeral, emergent, and cross-cutting forms of sociality within them, positioning urban spaces as frontiers of inter-dependent experimentation, fluid mutuality, and collaboration.

Why do funders support social welfare crowdfunding platforms? An elaboration likelihood perspective

AbstractCrowdfunding entails small funds or contributions collected from the public to support and develop certain services or products. It has been widely adopted as an alternative method to fund social, cultural, and technological projects. Crowdfunding platforms can capitalize the social and digital networks, making them more efficient in targeting funders with minimum operational costs. The emergence of crowdfunding platforms as social information systems attracts researchers and academicians to study their increasing acceptance. In complement to qualitative and big‐data analyses, behavioral models can offer robust insights into why individuals like to participate in the activities generated on these platforms. Prior research focuses on the user's acceptance of these platforms, but less attention has been given to users' engagement in crowdfunding‐based social welfare projects. The study highlights people's crowdfunding intentions to fund social welfare projects based on the elaboration likelihood model. The study hypothesizes argument quality and technical advantage as central signals and shared value and reputation as peripheral signals, where outcome efficacy and social consciousness directly affect intentions to participate and moderate the relationship between signals and intentions. We collect data from 467 potential donors from China's 30 online crowdfunding platforms. The results indicate a more significant peripheral route effect on donation participation in social welfare crowdfunding. Social consciousness significantly predicts donation intentions where outcome efficacy and social consciousness strengthen the relationship between argument quality, shared values, and donation intentions to participate in socially responsible crowdfunding. The study provides implications for social collaboration for welfare projects through these platforms in light of these dynamic factors.

Strengthening Reintegration through Social Capital: Learning from Aceh, Indonesia

Following the conflict that prevailed from 1976 to 2005, a state of social disintegration persisted between former combatants of the Gerakan Aceh Merdeka - GAM (Free Aceh Movement) and the civil society in Aceh. This disintegration was typically fueled by the former GAM combatants’ militaristic and pragmatic mindsets, instability, and low economic well-being. Interestingly, former GAM combatants in Nisam Antara Subdistrict, North Aceh Regency, have managed to collaborate and coexist with local communities, exemplifying successful social reintegration that distinguishes them from their counterparts in other regions of Aceh. This article delves into the reality of social reintegration between former GAM combatants and the local populace, with a specific focus on the oil palm plantations managed by former GAM combatants. The study adopts a descriptive qualitative approach, and data was gathered through a combination of observations, in-depth interviews, document analyses, and focus group discussions. Key informants for this study included former GAM combatants, community and traditional leaders, plantation workers, and members of civil society. The study reveals that moral obligations within communities are guided by local wisdom, which acts as a form of social capital that fosters economic and social collaborations. Local wisdom serves as a social capital that nurtures the development of fraternity, mutual trust, cooperation, and solidarity. Moreover, it has the capacity to minimize differences and resentments, thereby promoting unity between former GAM combatants and local communities. This unity significantly contributes to the sustainability of peace in Aceh, Indonesia.

The Construction of Social Cooperation System and Its Application in the Location Selection of Tourism Equipment Manufacturing Base under Mobile Internet

To study the application of social collaboration system in Tourism Equipment Manufacturing base selection under mobile Internet, firstly, Spring MVC framework and Activiti workflow engine technology are adopted to analyze the requirements of base location selection system based on the design idea and implementation method of mobile Internet base location selection system. Then the base site selection system based on social collaboration system is designed. Finally, the system is tested in user information management, site data management and site selection process management modules. The Activiti process framework can realize the business process modeling of the system, and can effectively help the site selection personnel to carry out site selection planning. At the same time, site selection personnel can carry out online interaction, facilitate site selection personnel to conduct on-site operations to obtain real-time data, and reduce workload and information errors, and improve the speed and quality of site selection under the design of mobile Internet. Therefore, the social cooperation model based on mobile Internet can reduce the cost of site selection and provide a basis for site selection.

Corrective Experiences to Enhance Trust: Clinical Wisdom From Good (Enough) Psychiatric Management.

Unstable trust within social interchange underlies the symptom constellation of borderline personality disorder (BPD), resulting in preoccupation with intense dyadic relationships, limited capacity for social collaboration, and constricted social networks. Good Psychiatric Management (GPM) provides a distilled formulation of how interpersonal hypersensitivities drive the engine of BPD's symptomatic oscillations in both affect and attachment. The authors summarize clinically relevant conclusions from the empirical literature on trust in BPD, synthesize it with selected ideas from other empirically supported interventions, and distill a formulation of how the GPM approach can address problems of trust in BPD with strategies most clinicians can use to improve their work with patients. GPM's clinical management approach utilizes common factors in psychotherapy to structure collaboration with patients to be accountable partners in treatment, rely on themselves more to diminish unrealistic demands on others, and function more effectively in arenas that expand and stabilize their social network.

How Do Children Play with Toy Trains and for What Benefits? A Scoping Review.

Children play with different toys in different ways which may be associated with different developmental outcomes. While existing work has investigated different categories of toys, differences may also be present within specific toy categories. Therefore, understanding how specific toys promote play behaviours and their associated developmental outcomes has important implications for teachers, parents, caregivers, and researchers. To better understand how children play with toy trains, whether groups of children show a particular preference for toy trains and what (if any) associated benefits there are for playing with toy trains, 36 studies published in psychology and educational databases up to December 2022 were reviewed. A key finding emerged regarding the importance of the structured, realistic, and familiar nature of toy trains being important for facilitating pretend play as well as social collaboration behaviours during social play. Whilst findings in relation to gender-stereotyped preferences for playing with toy trains were mixed and no gender differences were found in research investigating play styles, neurodivergent children were found to have a preference for toy trains. These findings are important given that certain play styles, pretend play in particular, have been associated with benefits in children's executive function, language, creativity, and social understanding.

Give us something to chauffeur it: Exploring user needs in traditional and fully autonomous ridesharing for people who are blind or visually impaired

As self-driving technology advances, there is enormous potential to optimize fully autonomous vehicles (FAVs) for use by people who are blind and visually impaired (BVI). Today, BVI users often rely on ridesharing services for daily travel, which present both challenges and opportunities for researchers interested in the accessible design of FAVs. The parallels between current BVI travel experiences in rideshares and predictions that FAV services will adopt rideshared models presents an enticing opportunity to use ridesharing as a proxy for understanding BVI needs in future FAV transportation. However, a key challenge is identifying the extent to which FAVs should be designed to provide the same assistance that human drivers currently provide for BVI travelers in rideshares. To address this issue, ridesharing users with visual impairment (n = 187) within the United States completed a survey instrument designed to assess and compare desires for interactions, information, and assistance between human operated and fully autonomous rideshare vehicles, as well as the modality of information delivery (auditory and/or haptic). Results indicate strong support for access to environmental information (e.g., spatial information about the destination) and contextual information (e.g., progress along the route) across the trip with automated vehicles via natural language interactions. Although results suggest significantly less desire for social interaction with the AI “at the wheel” of FAVs when compared to human drivers, findings indicate that participants desire some social collaboration and human-in-the-loop control during autonomous driving. By empirically comparing human and autonomous ridesharing and exploring both the information needs and modality preferences across information category, the study provides much-needed guidance for future design of humanlike, anthropomorphized, FAV AIs with important implications for social autonomous agents more generally. This study also speaks to the ways in which inclusive and accessible user interfaces should best support user needs across the range of vision loss in future transportation networks.

Designing for Collaborative Non-Driving Related Activities in Future Cars: Fairness and Team Performance

With the gradual transition towards assisted and automated driving, the car will transform into a more social environment where passengers and drivers engage in Non-Driving-Related Activities (NDRA). To support collaboration among occupants in future vehicles, research suggests interactive systems controlled by several users at once. In this paper, we explore five concepts for the collaborative performance of NDRA with the use-case of music playlist creation. While prior work investigated the effect on social connectedness, we expand insights towards team performance and fairness. Results from a mixed-subject experiment (N=27) show that the concepts have major consequences on team performance and fairness. Certain concepts can promote or hinder coordination effectiveness and, in turn, impact intra-vehicular collaboration. Our observations also indicate that fairness is key to fostering social collaboration in AVs, while it does not naturally define a high team performance. Subsequently, we provide recommendations to guide future designs of collaborative NDRAs in vehicles.

The Power of Peer Engagement: Exploring the Effects of Social Collaborative Annotation on Reading Comprehension of Primary Literature

In graduate education (GE), critical reading of reading primary literature (CRPL) is the principal method of learning a discipline and its practices, such as discourse about research and preparation for writing. CRPL is inconsistently taught in GE yet essential, forming a hidden curriculum advantaging the best-prepared students. In traditional reading or journal clubs, PL discourse follows a hierarchical social model, where those with the most knowledge and extroversion dominate discussions. This article reports qualitative findings explaining why online peer engagement using social collaboration annotation (SCA) with embedded prompts supported CRPL in a broader mixed-methods intervention study with doctoral participants in spring 2022. The broader study reported elsewhere was an online intervention delivered over four weeks where participants in various fields read science policy research. Qualitative data collection elicited participants’ practices, experiences, and self-perceptions of CRPL in the new field while using SCA for peer-based discourse and collaboration. The findings indicated that when everyone was learning with SCA, they asked questions and learned from seeing each other’s ideas in real time, thereby correcting mistakes, activating various critical strategies, and improving comprehension and confidence. Self-doubt and fear calmed down in a supportive environment without the hierarchy of traditional journal clubs. The implication is that students encountering CRPL need and benefit from explicit instruction and low-stakes peer-based discourse practice with SCA.

Factors Affecting the Quality of Life Among Hemodialysis Patients

In patients with end-stage renal illness, personal satisfaction is a key determinant of outcome. Therefore, should be regularly assessed in this context assessment reflects only physiological and psychological variables linked with permanent hemodialysis patients in General Hospital Lahore. Data were gathered using a modified questionnaire from Lahore General Hospital, and participants were chosen using a practical technique that included all patients receiving ubiquitous permanent hemodialysis. 110 patients receiving hemodialysis made up the study's sample size. The findings indicate that physiological and psychological variables had a good impact on the quality of life of haemodialysis patients. Work, however, was the most dreadful aspect of quality of life, while the best variables were subjective capability and the type of social collaboration. Additionally, it has been found that factors such as older age, female sexual orientation, poorer socioeconomic level, and higher instructional dimension are linked to lower results.

Food waste management for the UK grocery retail sector—a supply chain collaboration perspective

Food waste is a consequence of the contemporary retail environment, where maintaining high product availability and customer choice is considered the basis of competition. It has become an especially focal issue in recent years for grocery retailers. Despite the evidence of retailers adopting many good practices to mitigate food waste, there are still many challenges facing the sector. This paper thus conducted a qualitative study drawing on secondary data on the big four UK supermarkets and twelve in-depth interviews with high-level supply chain (SC) managers in one of those four supermarkets to investigate UK retailers’ waste management practices and develop SC collaboration strategies for preventative waste management. The findings show that SC collaboration on the waste management needs to focus on forecasting, product range management, case size changes, performance measurement, information systems, and multi-stakeholder collaboration. This study recommends that retailers enhance their institutional collaboration with SC partners and social collaboration with other stakeholders.

Archaeologies of gender, kinship, and mobility in Southeast Brazil: genealogies of Tupiniquim women and the itinerancy of ceramic practices

The Brazilian colonial context led the Tupiniquim, an Indigenous group, and the Portuguese, a colonizing group, from the São Vicente area to connect with two places in Rio de Janeiro. In this scenario emerges the genealogy of two Tupiniquim women of the 16th century from São Vicente, which allowed us to trace six generations of women who formed kinship relationships with Portuguese men. They moved to Rio de Janeiro to create the Cara de Cão fortification and Camorim sugar plantation. They were members of the communities that appropriated and transformed Portuguese coarse ware ceramics into what is now termed Paulistaware. This article shows a new understanding of the social role of Indigenous women and the entry of European men into symmetrical gender relations based on the logic of Tupiniquim social collaboration. Tupiniquim women initially produced Paulistaware before 1550. After 1600 these ceramics were also made and consumed by people from the African diaspora and others from outside, adding decorative elements found in São Paulo and Rio de Janeiro. The intensive analysis of archival data breaks the traditional model of homogenization and Europeanization of historical processes and events, highlighting the itinerancy of practices and mobility of people.

Empowering Driver-Passenger Collaboration: Designing In-Car Systems with a Focus on Social Connectedness, Fairness, and Team Performance

Driving a car can be difficult when it comes to distractions caused by operating the in-vehicle infotainment system (IVIS). In-car passengers often help with performing IVIS-related tasks. However, an IVIS is often not designed with a focus on task collaboration. In this article, we focus on how to design in-car systems with the goal to support collaboration between a driver and a front-seat passenger. Based on infotainment-oriented tasks, we initially explore five key collaborative control concepts by means of an IVIS which differ from each other in terms of the number of available IVIS screens (one or two), access to menus (restricted and unrestricted), and the nature of performing tasks in parallel or one after the other. Results from a simulator study with N = 16 pairs show significant effects of the concepts on social collaboration in terms of perceived social connectedness (measured with sub-dimensions connectedness, affiliation, belongingness, companionship), team performance (coordination effectiveness and team cohesion), and fairness. We found that especially a dedicated passenger IVIS screen empowers front-seat passengers, reduces power dynamics, supports fairness, and minimizes driver distraction (caused by interacting passengers). We discuss the implications of these findings and posit recommendations to design future IVIS in passenger cars with improved driver-passenger collaboration by explicitly designing for balanced power roles, situational awareness, active communication, and a balance between drivers’ privacy and trust toward the passenger. Additionally, we outline a systematic overview of future work to explore the research field of driver-passenger collaboration in more breadth and depth.