Changes in Older Europeans’ Health Across Two Waves of SHARE: Life-Course and Societal Determinants

Building on recent research investigating the role of life-course factors (including childhood conditions) and societal context in older Europeans health status, this study investigates the determinants of changes in elders’ health across two waves of the Survey of Health Ageing and Retirement in Europe (SHARE). Controlling for individuals’ current living conditions at baseline, our analysis provides evidence for long-term associations between childhood conditions (SES, health, cognition) and health dynamics in older age. Moreover, our findings suggest that income inequality tends to increase elders’ risk of experiencing negative health changes (decreases their chance to recover from poor health, respectively). Our study underlines the importance of accounting for both life-course and societal determinants of later life health dynamics.     

异质媒体分析技术研究进展

在异质媒体应用迅速兴起,线上内容和线下服务对网络用户影响日益深刻的背景下,介绍了异质媒体分析的相关概念和方法,对异质媒体的多源自然属性和社会属性进行有效感知,揭示海量异质媒体的语义多样性、复杂关联和内在信息传播机制。文章主要内容涵盖以下几方面:首先,讨论异质媒体数据的跨平台、多模态和来源广泛等特性及其带来的挑战和机遇,介绍异质媒体分析技术的特点和传统单一媒体分析的不同之处,以及异质媒体研究可能带来的科学和社会影响力;其次,分别从异质媒体语义分析与理解、异质媒体关联建模和异质媒体社群分析等三个方面介绍异质媒体分析技术的国内外研究现状;最后,介绍作者及所在研究团队在异质语义分析理解,异质媒体中热点事件和话题分析以及异质媒体用户行为分析等方面的最新研究成果。     

The fractal dimension of complex networks: A review

The fractal property is one of the most important properties in complex networks. It describes the power law relationship between characteristics of the box and the box size. There are numerous research studies focusing on the fractal property in networks through different dimensions. In order to study the problems across various disciplines, fractal dimension and local dimension are proposed to study network and node properties respectively. In this review paper, various network covering algorithms, which form the basis for obtaining fractal dimension are being reviewed. The different dimensions used to describe the fractal property of networks and their applications are then discussed. Through these studies, we emphasize that the fractal property is an important tool for understanding network characteristics. In the last section, we give our conclusion and discuss possible future directions for fractal dimension research.     

Employees' use of social media technologies: a methodological and thematic review

With the ubiquity of social media in all aspects of daily life, research interest in the topic has been on the rise. Within the existing body of research on these tools, part of the literature focuses on the use of social technologies by employees. This article employs a systematic literature review methodology, with the objective of identifying the main methodologies and themes of research on employees' usage of social technologies. A total of 66 articles were included in this review, covering five major research themes, that is, legal aspects and policies, human resources management, knowledge management and sharing, learning, and communication. In terms of methodological choices, research on the use of social technologies by employees is found to be fragmented and in need of further quantitative studies, mixed-methods approaches, and theory-based research. Suggestions for future research are provided based on both thematic and methodological considerations.     

Seeing the forest through the trees: A review of integrated environmental modelling tools

Today’s interconnected socio-economic and environmental challenges require the combination and reuse of existing integrated modelling solutions. This paper contributes to this overall research area, by reviewing a wide range of currently available frameworks, systems and emerging technologies for integrated modelling in the environmental sciences. Based on a systematic review of the literature, we group related studies and papers into viewpoints and elaborate on shared and diverging characteristics. Our analysis shows that component-based modelling frameworks and scientific workflow systems have been traditionally used for solving technical integration challenges, but ultimately, the appropriate framework or system strongly depends on the particular environmental phenomenon under investigation. The study also shows that – in general – individual integrated modelling solutions do not benefit from components and models that are provided by others. It is this island (or silo) situation, which results in low levels of model reuse for multi-disciplinary settings. This seems mainly due to the fact that the field as such is highly complex and diverse. A unique integrated modelling solution, which is capable of dealing with any environmental scenario, seems to be unaffordable because of the great variety of data formats, models, environmental phenomena, stakeholder networks, user perspectives and social aspects. Nevertheless, we conclude that the combination of modelling tools, which address complementary viewpoints – such as service-based combined with scientific workflow systems, or resource-modelling on top of virtual research environments – could lead to sustainable information systems, which would advance model sharing, reuse and integration. Next steps for improving this form of multi-disciplinary interoperability are sketched.     

Rationalist assumptions in cross-media comparisons of computer-mediated communication

Users' comparisons between computer-mediated communication (CMC) and other forms of communication are of theoretical interest and have important implications for system design and implementation. This paper outlines the prevalent systems-rationalist perspective on CMC, which sees the medium primarily as an efficient channel for information transfer in specific organizational tasks, and critically reviews the evidence that studies of users' perceptions and media preferences offer for this generalized view. In advocating a widening of our perspective on CMC, a field study is described in which electronic mail users within a large commercial telecommunications company were invited to compare eight different communication activities, using repertory grid technique. From a total of 91 user-generated constructs, five principal dimensions were identified that accounted for users' discriminations among the different activities. Electronic mailing was construed as being similar to written activities (such as note-writing) on some dimensions (e.g., ' asynchrony', ' emotional quality' but similar to spoken, face-to-face communication on other dimensions such as ' spontaneity'. The results suggest that the group of users construed CMC mainly in terms of its attributes as a medium for conversation and social interaction. There was no evidence of spontaneous task-related media comparisons. These results together with findings from other studies are discussed in terms of rationalist and symbolic interactionist perspectives on CMC. Implications for system design are also considered.     

Predicting emotions in online social networks: challenges and opportunities

Online social networking has become a popular means of information exchange and social interactions. Users of these platforms generate massive amounts of data about their relationships, behaviors, interests, opinions, locations visited, items purchased, and subjective experiences of various aspects of life. Moreover, these platforms enable people from wide-ranging social and cultural backgrounds to synergize and interact. One interesting area of research is the emotional dimensions contained in this user-generated content, specifically, emotion detection and prediction, which involve the extraction and analysis of emotions in social network data. This study aimed to provide a comprehensive overview and better understanding of the current state of research regarding emotion detection in online social networks by performing a systematic literature review (SLR). SLRs help identify the gaps, challenges, and opportunities in a field of study through a careful examination of current research to understand the methods and results, ultimately highlighting methodological concerns that can be used to improve future work in the field. Hence, we collected and analyzed studies that focused on emotion in social network posts and discussed various topics published in digital databases between 2010 and December 2020. Over 239 articles were initially included in the collection, and after the selection process and application of our quality criteria, 104 articles were examined, and the results showed a robust extant body of literature on the text-based emotion analysis model, while the image-based requires more attention as well as the multiple modality emotion analysis.

     

Knowledge sharing behavior in virtual communities: The relationship between trust,self-efficacy,and outcome expectations

There has been a growing interest in examining the factors that support or hinder one's knowledge sharing behavior in the virtual communities. However, still very few studies examined them from both personal and environmental perspectives. In order to explore the knowledge sharing behaviors within the virtual communities of professional societies, this study proposed a social cognitive theory (SCT)-based model that includes knowledge sharing self-efficacy and outcome expectations for personal influences, and multi-dimensional trusts for environmental influences. The proposed research model was then evaluated with structural equation modeling, and confirmatory factor analysis was also applied to test if the empirical data conform to the proposed model.     

Exploring the interaction effects of social capital

Most social capital studies either treat the three dimensions of social capital as parallel or hypothesize that causal relationships exist among them. We attempt to further explore the interaction effects between paired dimensions of social capital. In the context of information system development (ISD) projects, we propose direct and interaction effects of different dimensions of social capital on process and product performance. A survey of system developers indicates that all three proposed interaction effects on process performance are significant but with different patterns. Only one (structural and relational) interaction effect is found to have an effect on product performance. Academic and practical implications are discussed.     

Inferring user interests in microblogging social networks: a survey

With the growing popularity of microblogging services such as Twitter in recent years, an increasing number of users are using these services in their daily lives. The huge volume of information generated by users raises new opportunities in various applications and areas. Inferring user interests plays a significant role in providing personalized recommendations on microblogging services, and also on third-party applications providing social logins via these services, especially in cold-start situations. In this survey, we review user modeling strategies with respect to inferring user interests from previous studies. To this end, we focus on four dimensions of inferring user interest profiles: (1) data collection, (2) representation of user interest profiles, (3) construction and enhancement of user interest profiles, and (4) the evaluation of the constructed profiles. Through this survey, we aim to provide an overview of state-of-the-art user modeling strategies for inferring user interest profiles on microblogging social networks with respect to the four dimensions. For each dimension, we review and summarize previous studies based on specified criteria. Finally, we discuss some challenges and opportunities for future work in this research domain.     

Effects of review spam in a firm-initiated virtual brand community: Evidence from smartphone customers

Previous studies of spam focus on how to develop effective and efficient algorithms and technologies to monitor, identify, and filter spam to minimize its negative consequences. Few studies have examined the social and psychological impacts of spam on social media users and participants of virtual brand communities (VBCs). This paper develops and tests a research model to explain the mechanism of how review spam influences customer participation in VBCs. We collected both objective data and subjective data from smartphone users in China. We also developed a measure of review spam using objective data. We found that hyper review had positive effects on membership and influence (two dimensions of sense of virtual communities (SOVC)), while the effects of defaming review on membership and influence were negative. Neither hyper view nor defaming review impacted immersion (the third dimension of SOVC). Further, non-review had negative effects on all three dimensions of SOVC that positively influenced future customer participation.     

Electronic supply chains: Status & perspective

The area of e-commerce based supply chains (or e-supply chains) has received significant attention in the last two decades. Despite the high level of activity, the most recent reviews on this topic date back to the beginning of this century. In this paper, we analyzed the state of e-supply chain research published during January 2000–January 2015 AD, covering 165 articles from 47 ISI indexed journals. The analysis is performed using a five-dimensional framework comprising Topic-of-Study, Unit-of-Analysis, Research Perspective, Industry Type, and Research Method. Within these dimensions, Topic-of-Study plays a pivotal role, whereas the other four dimensions are analyzed around its sub-classification scheme. Our main objective is to establish a broader interdisciplinary understanding of the e-supply chain research domain, and to identify trends and gaps in contemporary e-supply chain theory and practice. The findings indicate that problems are addressed from different perspectives with varying levels of interest from researchers belonging to several academic disciplines including business, economics, engineering and social sciences. Our analysis also identified two distinct periods (2000–2006 and 2007 onwards) with different foci of research attention. The problems that received significant attention in the earlier period include innovation, adoption and barriers, and supply chain integration; while in the latter period, the focus seemed to have shifted towards supply chain integration and collaboration issues. Problems that received minimum interest across the two periods include customer relationship, economic and environmental impact.     

A tutorial on modeling and analysis of dynamic social networks. Part II

Recent years have witnessed a significant trend towards filling the gap between Social Network Analysis (SNA) and control theory. This trend was enabled by the introduction of new mathematical models describing dynamics of social groups, the development of algorithms and software for data analysis and the tremendous progress in understanding complex networks and multi-agent systems (MAS) dynamics. The aim of this tutorial is to highlight a novel chapter of control theory, dealing with dynamic models of social networks and processes over them, to the attention of the broad research community. In its first part (Proskurnikov & Tempo, 2017), we have considered the most classical models of social dynamics, which have anticipated and to a great extent inspired the recent extensive studies on MAS and complex networks. This paper is the second part of the tutorial, and it is focused on more recent models of social processes that have been developed concurrently with MAS theory. Future perspectives of control in social and techno-social systems are also discussed.     

Understanding the interplay of social commerce affordances and swift guanxi: An empirical study

Prior studies highlight consumer behavior in social commerce from the perspective of relational exchange, while culture-driven aspects have been neglected. Given cultural uniqueness in China, this study develops a research model to explore the effects of key social commerce affordances on swift guanxi dimensions and subsequent purchase intention. Data from 450 agricultural product consumers in social commerce were used in PLS analysis for testing the proposed research model. The results indicate that interactivity, stickiness, and word of mouth exert positive effects on mutual understanding, reciprocal favor, and relationship harmony, to various degrees. In turn, swift guanxi dimensions are determinants of consumers’ purchase intention in social commerce.     

The impact of uncertainty avoidance, social norms and innovativeness on trust and ease of use in electronic customer relationship management

Social and individual factors and their relationships to trust in electronic customer relationship management (eCRM) are important topics for e-commerce designers and information systems researchers. In spite of several previous studies of online trust and consumer behavior, none has adequately examined the influences of social and individual factors on online trust in eCRM. In this paper, the relationships among uncertainty avoidance, social norms, personal innovativeness in IT, and multidimensions of online trust (integrity, benevolence, and ability) as well as perceived ease of use (PEOU) are tested, based on a PLS analysis with 209 student samples. Social norms influence all three dimensions of online trust, while uncertainty avoidance affects only the benevolence and ability dimensions. Personal innovativeness in IT affects PEOU, and PEOU influences all three dimensions of online trust. Theoretical and practical implications of these findings beneficial to our understanding of customer relationships in the electronic marketplace are discussed in the paper.     

Modelling the impact of mHealth service quality on satisfaction,continuance and quality of life

Understanding the impact of service quality on economic and social outcomes is critical to extend the focus of IT service research. This study evaluates the impact of quality on both these dimensions in mHealth using a cross disciplinary approach. The conceptual model is rooted in the traditional cognition–affective–conation chain but explicitly incorporates convenience, confidence, cooperation, care and concern as the primary dimensions of mHealth quality. The model is validated in the context of a business-to-consumer mHealth services using partial least squares path modelling. The results confirm that service quality has both direct and indirect impact on continuance intentions (i.e. economic outcome) and quality of life (i.e. social outcome). In this relationship, satisfaction plays the key mediating role, whereas service quality does not have any moderating effect. Research implications point to scale and sustain this new healthcare paradigm by linking service quality to satisfaction, continuance intentions and quality of life.     

Toward a validation of cyber-interventions for stress disorders based on stress inoculation training: a systematic review

New advanced technologies have recently emerged as a potentially effective way for delivering stress management techniques. Specifically, the stress inoculation training (SIT) represents a validated approach to manage stress in several settings, and research is growing related to this clinical protocol combined with advanced technologies. This review aims to outline the state of the art of cyber-interventions based on SIT methodology (cyber-SIT). In the current review, we deeply analyzed and discussed three aspects of the selected studies: (1) the type of technological devices used for delivering cyber-SIT; (2) the sampling strategies; (3) and the stress-related measures for assessing the effectiveness of cyber-SIT. The results of this systematic review suggest the potential efficacy of cyber-SIT for managing psychological stress in several settings. Considering cyber-SIT for psychological stress, controlled trials testing a greater number of participants are needed. Other future challenges include adopting better inclusion/exclusion criteria, standardized outcome measures, and different conditions for comparing the effect and/or the integration of different technological devices. In conclusion, as the cyber-SIT may play an important role in the future clinical psychology, it is crucial to enhance the validation of this approach from a methodological point of view.     

Integrative qualities and dimensions of social commerce: Toward a unified view

The wide popularity and rapid growth of social commerce have opened a new arena for business and grand opportunities for Information Systems (IS) research. However, there is only a limited theoretical understanding of and even less substantive empirical grounding on how social media technologies, providers, and customers interact to achieve social commerce initiatives and opportunities. This study integrates the service-dominant (S-D) logic and customer-dominant (C-D) logic perspectives and both streams of service marketing and IS usage literature, and proposes a unified framework outlining key qualities and dimensions of social commerce and their interactions. We tested the framework with a large set of field survey data of 1250 social commerce customers. The results show that each of the proposed dimensions captures a unique prominent aspect of social commerce; the multi-dimensions combine to define the underlying structural nature and process of social commerce. Furthermore, the testing of the model validated the hypothesized interactive relationships of key social commerce qualities. The unified view contributes to IS research in general and social commerce innovations, and provides managerial implications for understanding the overall interactions of social commerce.     

The quality of evidence in tablet‐assisted interventions for students with disabilities

The purpose of this review is to weigh the evidence of the effectiveness of tablet‐assisted instructions (TAIs) at improving academic outcomes of students with disabilities. An extensive search process with inclusion and exclusion criteria yielded a total of 17 studies to be included in the present study: three group design studies and 14 single‐subject design studies. The quality indicators proposed by Gersten et al. ( 2005 ) and Horner et al. ( 2005 ) were applied to evaluate the methodological rigour of TAI studies and their feasibility to be considered evidence‐based. Results revealed that (a) most group design studies provided little information about the intervention agent and equivalence of groups across conditions, (b) the social validity of using tablets for students with disabilities was strongly established across all single‐subject design studies and (c) procedural fidelity in assessment and intervention implementation was inadequately addressed in group design studies. Although this review suggests that TAI used in single‐subject design studies can be a potentially evidence‐based practice for students with disabilities, there still remains to be established whether the group design studies can be considered evidence‐based, because of the lack of methodological rigour in group design studies. Finally, implications for future directions and practical ideas are discussed.