Search results

WeChat official account (WCOA) is an emerging and important platform for academic library services, which greatly accelerates the development of this field. This article aims to identify key evaluation indicators for users' satisfaction of the Academic Library WeChat Official Account (ALWCOA) as a reference for future improvements.

Based on the updated DeLone and McLean (D&M)’s model and Delphi method, an evaluation system of ALWCOA satisfaction was constructed. Then 212 university students were recruited to fill out a questionnaire on evaluation indicators. The grey relational analysis (GRA) and Pareto's principle were employed to analyze the questionnaire and select key evaluation indicators.

An ALWCOA service satisfaction evaluation system with three evaluation dimensions and 15 evaluation indicators was constructed, and three key evaluation indicators were identified, including service responsiveness, information timeliness and system security.

This article provides a strategy for assessing ALWCOA service satisfaction, as well as insights for improving of ALWCOA service. Specifically, academic libraries should pay more attention to improving service responsiveness, information timeliness and system security.

This article innovatively applied the updated D&M model in academic library service. Additionally, it facilitates the development of research fields, such as academic library services, microservices and user service evaluation, and provides a case study to better understand the WCOA.

E-government websites/portals are effective modes of communication between governments and citizens. The information quality (IQ) of these websites/portals is of vital importance and, hence, is worth assessing, to ensure their effectiveness. This study aims to assess the IQ dimensions of e-government websites/portals in Pakistan and also evaluate the most significant IQ indicators.

This study used a quantitative research method based on a survey. The data were collected from a sample of young citizens, and a questionnaire was adopted from a previous study by Kandari, et al. (2011) with minor changes to reflect the local context.

The findings revealed that out of 20 IQ indicators, 14 were rated 4 or 5 on a five-point Likert scale, indicating a reasonably high IQ for Pakistani e-government websites/portals. Value-added, “accessibility” and “objectivity” were the top three indicators, while timeliness, ease of operation and advertisement were the least rated indicators, suggesting that these need to be addressed. The findings of the study also revealed that IQ indicators are not affected by the different age groups of citizens.

The focus of this study was limited to university students to understand their perceptions about IQ indicators of e-government websites in Pakistan, and the results can only be generalized to young Pakistani citizens and the developing countries with a similar context.

This study could provide some guidance to policy makers and websites designers in the development of e-government websites according to users’ needs and identifying the ways to regularly maintain and update these websites.

This study provides an understanding of the IQ of Pakistani e-government websites from the citizens’ perspective. It attempts to fill that gap and produce findings that could assist in making informed policy decisions.

This paper introduces the concept of ‘social quality’ as a measure of quality‐of‐life and it sets out a framework for identifying social indicators of the relationship between information and social quality. Social quality has four elements: socio ‐ economic security, social inclusion, social cohesion and empowerment. Illustrative indicators are identified at both national (Demos) and community (Ethnos) level for four different aspects of each social quality element: input, process, outcome and impact. Then the distribution of information and social quality between Demos and Ethnos levels is investigated. It is concluded that usable indicators of all aspects of each element of social quality can be identified and that analysis of informational social quality at Demos and Ethnos level can add to knowledge about information provision and policy, particularly with reference to minority and marginal communities.

The purpose of this paper is to assess the availability of information in the USA for measuring the social and environmental performance of real estate portfolios.

A search is conducted for relevant indicator data sources using internet, library and government resources. Priority is placed on information that could be accessed on line, by any user, free of charge, from reputable sources, using available search parameters, for all types of properties and for any properties anywhere in the USA. Useful sources are identified and assessed using data quality indicators. Information gaps are also identified. A previously published method is adapted for comparing the social and environmental performance of properties and portfolios and data collected from identified sources are used to illustrate the construction of indices useful for making comparisons.

Nationwide data sources are available for most important dimensions with greater availability for the most important ones. There are, however, important data gaps related to such issues as water use, day light and ventilation, aesthetics and others. Most sources only require a property address for queries but do not support batch processing. There are no data quality problems for most data sources but a substantial minority of the sources does have at least one data quality issue. Available data can be used to construct indices useful for comparing properties and portfolios.

Fund managers can use these results to compile extra‐financial information on sustainability and corporate social responsibility and socially responsible investors can use them to evaluate investment opportunities.

This is the first effort to identify and assess data sources needed for creating responsible and sustainable metrics and indices and responds to demand for better metrics in the field of sustainable and responsible property investing.

This study explores the factors that characterize the logistics service quality (LSQ) of cross-border e-commerce and identifies the different relationships between these factors with respect to customer satisfaction.

The study applied a two-stage mixed-methods design. The first stage (Stage 1) was a qualitative study of 3,000 reviews from the Amazon China e-commerce platform. The second stage (Stage 2) included a quantitative study that analyzed survey data from 590 Chinese cross-border e-commerce customers using the Kano model.

Stage 1 involved developing a conceptual framework for the LSQ of cross-border e-commerce, including six dimensions: timeliness, safety, reliability, economy, personnel contact quality and information quality. In Stage 2, the study found that only reliability and personnel contact quality indicators are linearly related to customer satisfaction. Timeliness and the safety of packaging greatly contribute to customer satisfaction, but do not cause dissatisfaction when unfulfilled. Economics and information quality indicators, and the safety of goods, are basic requirements that tend to provoke customer dissatisfaction when unmet, but do not increase customer satisfaction when they are met.

This study is one of the first to construct a conceptual model of LSQ that applies to cross-border e-commerce and to identify the instrumental nature of various LSQ attributes and their impact on improved customer satisfaction.

Quality is a somewhat diffuse concept. Everybody knows more or less what is meant by it, but a precise definition of quality is more difficult to establish. “Quality” comes from the Latin word qualitas, which means properties or attributes. In the marketing terminology, quality is defined as: the degree to which a product fulfils its function, given the needs of the consumer [1]. Looking at the number of functions a product is expected to fulfil, it is possible to discern a varying amount of sub‐qualities which can be divided into functional and psychological qualities. The functional qualities consist of properties of the material, workmanship and of the technical and economic nature. These we call the “objective” characteristics of the pro‐duct. The psychological qualities, such as beauty, sportsmanship, prestige, are formed by the symbolic meaning the consumer associates with the product. These are “subjective” characteristics [2].

The purpose of this paper is to describe the volume and quality of information and communication channel use at various stages of the malt barley value chain (MBVC) in Ethiopia and to investigate how metrics of these variables influence the extent of integration of the chain.

The study is based on survey data collected from 320 farmers and 100 traders and interview responses compiled from 76 respondents. Descriptive statistics and ordered logistic regression were used for data analysis.

The descriptive statistics show a lower volume and poor quality of information is being shared at farmer-trader interface and that value chain integration (VCI) is weak at all studied interfaces. Results of ordered logistic regression show that information volume and quality positively influence VCI, whereas a positive relationship between channel use and VCI was found only at farm level interfaces. Evidences found suggested that inconsistent information systems, lack of information sharing plans, low level of members’ awareness about the value of information, and lack of trust to share information were factors that inhibited information sharing in the MBVC.

The study offers pioneering evidence of the relative role of information volume and quality and channel use as factors that influence the extent of integration of the value chain.

This study aimed to analyze existing problems in the dissemination and management of emergency information on social media platforms, improve social media users' experience regarding such information, increase the efficiency of emergency information dissemination and curb the spread of misinformation.

In this study, the emergency information quality on social media platforms was examined. Based on the evaluation principles of the quality of mature information, social media information characteristics and the rules of emergency information dissemination, combined with relevant academic research results, an index to evaluate the quality of emergency information on social media was constructed. In addition, the authors have introduced cloud theory as an information quality evaluation method and used social media users' emotional characteristics to assess information quality evaluation results. A comprehensive system for evaluating emergency information quality, including indexes, methods and detection strategies was established. Based on a comprehensive system, a case study was conducted on the forest fires in Sichuan Province and the African swine fever events as reported on the Zhihu platform. In accordance with the results of the case study, the authors expanded the research and introduced the emotional characteristics of social media users as an independent evaluation dimension to evaluate the quality of emergency information on social media.

The comprehensive system's effectiveness was verified through the case study. Further, it was found that users' emotional characteristics (reflected in their information behavior) are inconsistent with their evaluation of websites' information quality regarding major emergencies. Integrating users' emotional characteristics into the information evaluation system can enhance its effectiveness following major emergencies.

First, an evaluation index system of emergency information quality on social media about major emergencies was offered. Unlike the commonly available index system for information quality evaluation, this proposed evaluation index system not only accounted for the characteristics of social media, such as massive disordered information, multiple information sources and rapid dissemination, but also for the characteristics of emergency events, such as variability and the absence of precursors. This proposed evaluation index system enhances the pertinence of the information quality evaluation and compensates for the shortcoming that the current research only focuses on evaluating social media information quality in a broad context, but pays insufficient attention to major emergencies. Second, cloud theory was introduced as a method to evaluate the emergency information quality found on social media. Existing research has primarily included the use of traditional statistical methods, which cannot transform numerical values into qualitative concepts effectively. Various indeterminate factors inevitably affect the quality of emergency information on social media platforms, and the traditional methods cannot eliminate this uncertainty in the evaluation process. The method to assess emergency information quality based on cloud theory can effectively compensate for the gaps in the research and improve the accuracy of information quality assessment. Third, the inspection and the dynamic adjustment of assessment results are absent in the research on information quality assessment, and the research has relied principally on the information users' evaluation and has paid insufficient attention to their attitudes and behaviors toward information. Therefore, the authors incorporated users' emotional characteristics into the evaluation of emergency information quality on social media and used them to test the evaluation results so that the results of the information quality assessment not only include the users' explicit attitudes but also their implicit attitudes. This enhances the effectiveness of the information quality assessment system. Finally, through this case study, it was found that an inconsistency exists between user evaluation and user emotional characteristics after major emergencies. The reasons for this phenomenon were explained, and the necessity of integrating user emotional characteristics into information quality assessment was demonstrated. Based on this, the users' emotional characteristics were used as a separate evaluation dimension for assessing the quality of emergency information on social media. Compared with assessing the quality of general information, integrating the user's emotional characteristics into the evaluation index system can lead the evaluation results to include not only the users' cognitive evaluation but also their emotional experience, further enhancing their adaptability.

This study aims to adopt cloud technology and develop a “cloud bookcase system” to make it possible to provide consistent mobile reading experiences to allow readers to use all kinds of mobile devices to read e-books.

This study implements a cloud bookcase and uses four indicators (system quality, information quality, service quality, user satisfaction) to evaluate the system for reading e-books.

After completing the system, the authors used a questionnaire to evaluate the system. The results show that the quality can meet the needs and satisfaction of users. Subsequent interviews with some of the participants also reveal the biggest concerns of readers include library policy, resources and system quality.

System quality, information quality, service quality and satisfaction are adopted as the indicators to assess the ratings from people using mobile devices to read e-books on the cloud bookcase system developed in this study to evaluate whether the cloud bookcase system is a successful information system as well as the relations between mobile device factors and user ratings. The results indicate that the ratings from more than half of the readers for the system, as shown in the various indicators, achieve more than 60%. From the interview results, the results show that some participants also reveal there is still room for improvement in some areas.

This study implements a cloud bookcase and there are three contributions: (1) the cloud bookcase system developed in this study based on related theories proves able to meet the needs of users, (2) this system had high ratings for all four indicators, (3) the interview responses reveal that most people regard system quality as the most important, and some of the people value some of the items more, including library policy, readers' interests and more resources, especially the number of e-books available.

Following the emergence of Web 2.0 technologies, social commerce has been viewed as an inseparable part of today’s business environment. Social commerce is a recent version of e-commerce, which has rapidly become a new interesting field for both practitioners and academics. To improve social commerce success, managers should be aware of what encompasses social commerce quality, how consumers sense it and how it is assessed. Though, despite the importance of social commerce, designing of scales for measuring the social commerce quality has rarely been explored. Therefore, the purpose of this study is to develop a new scale for measuring the social commerce service quality comprehensively.

To obtain the research objective, in the first step, a comprehensive literature review along with focus group discussions was conducted to theoretically conceptualize service quality dimensions and measures. Then, for evaluating the proposed scale via social commerce customers, the survey method was used. Finally, the verified measures were weighted and ranked using fuzzy analytic hierarchy process.

The findings showed that social commerce service quality is a hierarchical and multidimensional construct consisting of six key dimensions including information quality, social interaction quality, design quality, functional quality, social trust/security and social support.

The study results assist managers to improve the quality of social commerce services through increasing the awareness of customers’ perceptions and expectations concerning social service quality. They further help managers to understand systematically all dimensions of social commerce service quality, which may lead to reduce the risk of social commerce adaptation failure and consequently increase the customers’ satisfaction.

The role of service quality in acceptance and success of social commerce has been emphasized by many academics and practitioners. However, review of the previous literature shows that inadequate studies in this field have been conducted so far. The main contribution of this study is conceptualization and development of a validated scale for measuring the social commerce service quality. This scale provides a useful instrument for researchers who wish to measure the service quality of social commerce and for managers who want to improve the perceived quality of their services.