Dynamic model of online information quality perceptions and impacts: a literature review

This paper reviews the literature related to the concept of information quality (IQ) in the context of the online environment to understand how it has been conceptualised in the Information Systems (IS) literature, to identify gaps in the literature, and to make recommendations for future research. This study also extends the Information Processing Model (IPM) and proposes a novel dynamic model of online IQ perceptions and impacts. To understand the online IQ construct, an in-depth review of the literature is conducted. Overall, we reviewed 508 journal articles published between 1995 and 2016. This study found that there is a substantial gap in the IS literature in regards to a full understanding of the online IQ construct and its relation with the IPM. More research is needed to understand the way individuals process and respond to online information. Further, although the importance of context in theory development has been emphasised in the literature, very few empirical articles have explored the impact of contextual factors on the IPM as well as perceived online IQ. The findings provide online vendors with important guidelines that should be considered to motivate individuals to acquire more information from their websites that could lead to more satisfied and loyal users.     

可扩展的地理信息服务质量综合评价模型研究

随着地理信息服务广泛应用,地理信息服务质量（Quality of Service,QoS）已成为服务应用能否成功的关键因素之一,然而如何合理评价地理信息服务QoS是一个复杂问题。在分析了当前地理信息服务QoS研究成果基础上,以3种不同的视角对地理信息服务QoS进行分类;建立了一种可以扩展QoS属性的综合评价模型,该模型能根据需求定义新的评价因子,并以模糊综合评判的方法量化了QoS的主观评判因子,从而实现了从主观、客观角度全面综合地评价地理信息服务QoS。对地理信息服务质量评价的发展思路和进一步的研究进行了探讨。     

Impact of online word-of-mouth on sales: the moderating role of product review quality

Facing with thousands of online product reviews, consumers usually pay close attention to those valuable ones which provide more specific and credible evaluations on products. Whether a close association exists between product review quality and sales is thus examined in this paper. By employing text mining techniques on multiple review features, a review is measured as one of the following two levels: high-quality or low-quality. In doing so, aggregate quality level of product’s whole reviews is also identified. Then, a two-level econometrical analysis is conducted on the real datasets from Amazon.cn. The results reveal that aggregate quality level of positive reviews and negative reviews interactively influence sales. In the situation the aggregate quality level of positive reviews is high meanwhile that of negative reviews’ is low, product sale is the highest, while in the opposite situation product sale is the lowest. The results also reveal that consumers understand product’s value from weighting positive and negative reviews of high-quality level, which then positively relates to product sales and exerts a dynamic effect on sales by the moderating role of product selling stage and popularity. The paper innovatively integrates the quantitative and qualitative characteristics of reviews to estimate their economic effect.     

应用软件质量模型的建立与研究

应用软件在我国有着广阔的市场。怎样切实保证软件产品的质量，是我国软件业的一项十分重要的任务。在分析了软件质量模型的基础上，提出了在根据应用软件不同环境的基础上建立实用的软件质量模型的方法，并定性研究了软件质量模型中目标及属性的测定方法。     

基于信息流的大型灌区信息传递与控制模型研究

为深入研究大型灌区的信息要素表示和构建灌区系统的整体模型,应用系统工程方法,通过对灌区信息源与信息流分析,系统地描述了系统中各个元素之间的相互联系与状态传递关系,构造了构建灌区信息传递数学模型与控制模型。在灌区信息化系统中的应用结果表明,该模型为灌区信息系统的实现与精确控制提供了可操作的量化模型。     

A broader view on the limitations of information processing and communication by nature

Several new and broader views on computation in Nature and by Nature, and on its limitations and barriers are presented and analysed briefly. Quantum information precessing, global network information processing and cosmology-based information processing theories are seen as three extreme, but well-founded approaches to computation by Nature. It is also emphasized that a search for barriers and limitations in information processing as well as attempts to overcome their barriers or to shift limitations, can have deep impacts on science, especially if they are accompanied by a search for limitations and barriers also in communication and security. It is demonstrated that a search for barriers in communications brings a lot of interesting and deep outcomes. Computational and communication complexity is shown to play an important role in evaluating various approaches to get through barriers that current physical theories impose. It is also argued that a search for barriers and limitations concerning feasibility in information processing and physical worlds are of equal or maybe even of larger importance than those to overcome the Church-Turing barrier and some communication barriers. It is also emphasized that relations between information processing in the real and virtual worlds, or between physical and information worlds, are likely very deep and more complex than realized. All that has even broader sense than usually realized because we are witnessing a radical shift in the main characterization of the current science in general. A shift from so called Galilean science dominated by mathematics, to the Informatics (based) science - an informatics methodology based science and technology. This is an extended version of a paper (Thies et al. 2006) that appeared in the 12th International Meeting on DNA Computing, June, 2006.     

State of the art on quality control for data streams: A systematic literature review

These days, endless streams of data are generated by various sources such as sensors, applications, users, etc. Due to possible issues in sources, such as malfunctions in sensors, platforms, or communication, the generated data might be of low quality, and this can lead to wrong outcomes for the tasks that rely on these data streams. Therefore, controlling the quality of data streams has become increasingly significant. Many approaches have been proposed for controlling the quality of data streams, and hence, various research areas have emerged in this field. To the best of our knowledge, there is no systematic literature review of research papers within this field that comprehensively reviews approaches, classifies them, and highlights the challenges.In this paper, we present the state of the art in the area of quality control of data streams, and characterize it along four dimensions. The first dimension represents the goal of the quality analysis, which can be either quality assessment, or quality improvement. The second dimension focuses on the quality control method, which can be online, offline, or hybrid. The third dimension focuses on the quality control technique, and finally, the fourth dimension represents whether the quality control approach uses any contextual information (inherent, system, organizational, or spatiotemporal context) or not. We compare and critically review the related approaches proposed in the last two decades along these dimensions. We also discuss the open challenges and future research directions.     

A systematic approach for improving the quality of official statistics: Case of Korean information and telecommunication industry

With the rapid growth of information and communication technology (ICT) in Korea, there was a need to improve the quality of official ICT statistics. In order to do this, various factors had to be considered, such as the quality of surveying, processing, and output as well as the reputation of the statistical agency. We used PLS estimation to determine how these factors might influence customer satisfaction. Furthermore, through a comparison of associated satisfaction indices, we provided feedback to the responsible statistics agency. It appears that our model can be used as a tool for improving the quality of official ICT statistics.     

Impact of the quality of information products on information system users' job satisfaction: an empirical investigation

Abstract. In recent years, researchers and practitioners have paid increasing attention to the effects of information systems on work-related outcomes. The purpose of the reported research is to investigate the influence of information systems on work-related outcomes. A model is derived from prior research that considers direct effects of quality of information product on job satisfaction along with indirect effects through role conflict and role ambiguity. Results from a field study of 368 users indicated that quality of information product has a positive relationship with job satisfaction. However, role ambiguity and role conflict mediated this relationship. A causal path model identified that quality of information product influenced job satisfaction through role conflict and role ambiguity. Role conflict and role ambiguity fully mediated the relationship between quality of information product and job satisfaction. The results identify the role of information systems in influencing users' work related outcomes. In view of the importance of job satisfaction in motivating employees, IS designers and researchers should pay greater attention to the need for designing quality systems that not only meet their primary information delivery objectives, but also take into account the task and organizational design issues that may influence the work environment of users.     

Definitions and approaches to model quality in model-based software development – A review of literature

More attention is paid to the quality of models along with the growing importance of modelling in software development. We performed a systematic review of studies discussing model quality published since 2000 to identify what model quality means and how it can be improved. From forty studies covered in the review, six model quality goals were identified; i.e., correctness, completeness, consistency, comprehensibility, confinement and changeability. We further present six practices proposed for developing high-quality models together with examples of empirical evidence. The contributions of the article are identifying and classifying definitions of model quality and identifying gaps for future research.     

无人机测控与信息传输信道的建模与仿真设计

分析了无人机测控与信息传输系统中传输信道的特点,针对无人机飞行中不同的状态和环境条件,建立了不同的信道模型,并在此基础上,设计了一个可用于无人机测控与信息传输系统设计的信道仿真器,该仿真器通过设置不同的参数,可对无人机飞行中所处的不同通信信道进行仿真,以全面验证无人机测控与信息传输系统中所采用的传输技术性能及接收机性能。     

A computing model for enhancing service quality and increasing profitability of corporations: model evaluation based on two different sources data

In this paper, we introduce and evaluate a computing model for enhancing service quality of consumers and increasing profitability of corporations. We discuss the model prediction of the turning and transition period based on data from two different sources. By applying these real data of some leading manufacturing corporations in Japan we analyze the model accuracy. By using the proposed model, the corporation can increase their profit by enhancing the marketable quality. From the analysis, we conclude that even there are some differences between two sources data, the proposed model give a good approximation and prediction of the turning and transition period of Japanese economy.     

Exploring the boundaries and processes of digital platforms for knowledge work: A review of information systems research

Digital platforms for knowledge work (DPKW), such as Upwork, Freelancer, and Fiverr, connect clients with millions of workers for a range of knowledge work services, including app development, graphic design, and data analytics. Research on this emergent phenomenon has recently gained traction in terms of publication volume and research diversity. Focusing on the contributions of information systems research, we conducted a literature review to distinguish papers on DPKW from related types of digital platforms, to synthesize what we know about knowledge work on DPKW, and to guide future research. Based on a comprehensive literature search, we derived five boundary conditions, which constitute our definition of DPKW: digitality, value network paradigm, centralized governance, contractual work, and knowledge work. We further developed a conceptual process framework of the constituent processes of DPKW. With this framework, we elaborate on an established process model to distinguish the three macro­level processes of matching, contracting, and executing. We further examined micro­level processes suggested in extant research based on a process linking approach in order to understand how they synchronically instantiate each macro­level process. Emphasizing the significance of the micro­ and macro­level processes and the emergent stage of the literature on DPKW, we offer an agenda for future research and outline implications for practice.     

Adolescents and self-taken sexual images: A review of the literature

Despite increasing public interest and concern about young people's involvement in the self-production of sexual images (or ‘sexting’), there remains a dearth of research into their reasons for making and sending images, the processes involved, and the consequences arising from their experiences. This article reviews the motivational, lifestyle and personality factors influencing adolescent sexting practices and explores the research evidence within the wider context of debates around contemporary social and visual media cultures and gender. A systematic search of databases was conducted and eighty-eight records were identified for inclusion in the review. The findings reveal that sexting is remarkably varied in terms of context, meaning and intention, with the potential for consensual and non-consensual aspects of the activity. Whilst sexting can be a means of flirting or enhancing a sexual relationship, it can highlight potential vulnerabilities to victimisation or to participation in risky sexual practices. Sexting is also inextricably linked to social expectations of gendered sexual behaviours, with females often deriving less satisfaction from their experiences and being perceived more negatively by their peers. Further research linking adolescent motivations, well-being, relationships and lifestyles with the broader socio-cultural and media landscape will ultimately help drive understanding about the subject forward.     

A review on charging behavior of electric vehicles: data, model, and control

The adoption and usage of electric vehicles (EVs) have emerged recently due to the increasing concerns on the greenhouse gas issues and energy revolution. As a part of the smart grid, EVs can provide valuable ancillary services beyond consumers of electricity. However, EVs are gradually considered as nonnegligible loads due to their increasing penetration, which may result in negative effects such as voltage deviations, lines saturation, and power losses. Relationship and interaction among EVs, charging stations, and micro grid have to be considered in the next generation of smart grid. Therefore, the topic of smart charging has been the focus of many works where a wide range of control methods have been developed. As one of the bases of simulation, the EV charging behavior and characteristics have also become the focus of many studies. In this work, we review the charging behavior of EVs from the aspects of data, model, and control. We provide the links for most of the data sets reviewed in this work, based on which interested researchers can easily access these data for further investigation.     

多源信息云服务质量的犹豫模糊优劣IPA评价方法

为有效评价多源信息云服务质量水平,在IPA框架下提出了一种以指标优劣水平为性能度量的犹豫模糊方法。首先,从用户满意角度构建了多源信息云服务质量评价的IPA层次结构框架;接着,以犹豫模糊集表述评价信息,基于参考解依赖评价规则,融合TOPSIS方法的最优与最劣参考解和EDAS方法的平均参考解,提出了一种以指标优劣水平为性能度量的犹豫模糊IPA分析方法,用于多源信息云服务质量评估。此外,考虑到现有的犹豫模糊距离测度无法度量不对称信息问题,构建了一种基于Squared-χ2的犹豫模糊测度。最后,以东莞A企业多源信息云服务质量评价为实例进行分析,结果表明了该方法的可行性,并通过与近似方法的对比分析可知,该方法能够有效评价多源信息云服务质量。     

A chronological review of empirical research on personal information privacy concerns: An analysis of contexts and research constructs

As concerns about personal information privacy (PIP) continue to grow, an increasing number of studies have empirically investigated the phenomenon. However, researchers are not well informed about the shift of PIP research trends with time. In particular, there is a lack of understanding of what constructs have been studied in what contexts. As a result, researchers may design their study without sufficient guidance. This problem can lead to unproductive efforts in advancing PIP research. Therefore, it is important and timely to review prior PIP research to enhance our understanding of how it has evolved. We are particularly interested in understanding the chronological changes in contexts and research constructs studied. We use a chronological stage model of PIP research we develop, a set of contextual variables identified from prior literature, and the four-party PIP model suggested by Conger et al. (2013) as theoretical foundations to conduct a chronological literature review of empirical PIP concern studies. We find several PIP research trends during the last two decades, such as the quantity of PIP research has drastically increased; the variety of contexts and research constructs being studied has increased substantially; and many constructs have been studied only once while only a few have been repeatedly studied. We also find that the focus of PIP research has shifted from general/unspecified contexts to specific ones. We discuss the contributions of the study and recommendations for future research directions. We propose a fifth party as an emergent player in the ecosystem of PIP and call for future research that investigates it.     

Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context

This study presents two extensions to the two‐stage expectation‐confirmation theory of information systems (IS) continuance. First, we expand the belief set from perceived usefulness in the original IS continuance model to include three additional predictors identified in the unified theory of acceptance and use of technology, namely effort expectancy, social influence and facilitating conditions. Second, we ground the IS continuance model in the context of transactional systems that involve transmission of personal and sensitive information and include trust as a key contextual belief in the model. To test the expanded IS continuance model, we conducted a longitudinal field study of 3159 Hong Kong citizens across two electronic government (e‐government) technologies that enable citizens' access to government services. In general, the results support the expanded model that provides a rich understanding of the changes in the pre‐usage beliefs and attitudes through the emergent constructs of disconfirmation and satisfaction, ultimately influencing IS continuance intention. Finally, we discuss the theoretical and practical implications of the expanded model.     

Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling

The application of Artificial Neural Networks (ANNs) in the field of environmental and water resources modelling has become increasingly popular since early 1990s. Despite the recognition of the need for a consistent approach to the development of ANN models and the importance of providing adequate details of the model development process, there is no systematic protocol for the development and documentation of ANN models. In order to address this shortcoming, such a protocol is introduced in this paper. In addition, the protocol is used to critically review the quality of the ANN model development and reporting processes employed in 81 journal papers since 2000 in which ANNs have been used for drinking water quality modelling. The results show that model architecture selection is the best implemented step, while greater focus should be given to input selection considering input independence and model validation considering replicative and structural validity.