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The purpose of this paper is to construct an information ecology factor-TAM model to explore how information, people, and information environment impact mobile library users’ behavioral intention.

An empirical study based on an information ecology factor-TAM model.

The results of model test indicate that information, people, and information environment affect users’ behavioral intention to use mobile library in the information ecology environment. This paper provides a new theoretical perspective to understand users’ behavior of mobile library. It also provides practical guidelines to promote the usage of mobile library.

Internet of Things makes digital library one important channel for people to obtain information. Mobile internet makes it possible to access a variety of information anytime and anywhere. With the rapid grow of the number of mobile internet users, the usage of mobile library does not grow correspondingly. This paper explores the reasons.

With the development of mobile internet, instant messaging (IM) applications have gradually changed the way to receive information and communicate with friends. Considered as one of the important social media platforms, WeChat is the most popular IM application in China. This paper aims to examine the influence factors of haze information’s dissemination in WeChat.

Based on the theory of information dissemination and the theory of motivation, three information dissemination elements including information source, information and information receiver were proposed in the structural equation model. The model was tested using data collected from both online and offline questionnaire survey results. The data analysis from 170 valid responses confirmed the path effects that emotional motivation, social motivation of information receiver and the credibility of information source positively influenced WeChat users’ re-transmission intention and information emotional tendency negatively influenced their re-transmission intention.

The research model revealed these key factors that affected dissemination of haze information in WeChat. More importantly, it provided a decision-making framework to release the public emergency information in WeChat. Hence, the paper made an important contribution to practical guidance to relevant decision makers.

This study contributes to the literature on examining factors affecting the haze information transmission in WeChat. A framework was proposed to describe the information dissemination process which comprises information source, information and information receiver.

This study aims to the information about consumer product quality and safety that can easily attract public attention and become the focus of public opinion. In recent years, the fast-growing social media have become an import platform for firms for releasing product quality and safety information and for firms and governments to hear public opinion.

To explore how information about consumer product quality and safety gets disseminated and a public opinion is formed in social media, this paper proposes two information transmission models, one with government intervention and the other without government intervention, based on the theory of complex network. A simulation case study in MATLAB is conducted to verify the proposed models.

Information transmission models were constructed, one without government intervention and one with government intervention. The influence of information transmission with government intervention was analyzed. MATLAB was used to simulate the Barabasi and Albert (BA)-based model to consider event information level, government information level and possible panic population proportion. The government intervention effect was evaluated.

Based on a complex network, the derived transmission rule can provide decision-making support for monitoring and managing Web information of consumer product quality and safety.

In this study, the authors investigate whether supply chain (SC) strategies (lean or agile) improve or hinder the supply chain transparency (SCT) and what factors affect this relation.

The authors measure the level of SC strategy using natural language processing based on the annual financial reports of listed firms. Secondary data analysis is conducted on various databases encompassing 1,241 listed firms in China from 2011 to 2020. Additional tests are performed to assess the robustness of the results, and alternative explanations are duly considered.

The authors find that firms with an advanced level of SC strategy perform better on SCT. Furthermore, the authors observe that Agile SC strategy and Lean SC strategy have different effects on SCT over a firm’s life cycle. Agile SC strategy (the ratio of the proportion of Agile SC strategy word frequency divided by the proportion of Lean SC strategy word frequency greater than 1) has a significantly positive effect on SCT in the maturity stage; Lean SC strategy (the ratio less than 1) has a positive effect on SCT in the growth and decline stages. An increase in online media coverage negatively moderates the impact of the SC strategy (frequency of Lean and Agile SC strategy-related keywords) on SCT in the maturity stage. An increase in government environmental subsidies positively moderates the impact of SC strategy on SCT in the maturity and decline stages. Additionally, an increase in industrial competition intensity positively moderates the impact of the SC strategy on SCT in the decline stage.

The authors' study contributes to the Operations and Supply Chain Management (OSCM) literature by revealing the positive impact of SC strategy on SCT with objective secondary data. Additionally, the authors examine the moderating effects of moderators over the lifecycle of a firm on this relationship in an emerging market context. The authors' findings offer valuable guidance to companies operating in diverse market environments, providing actionable insights to strengthen their SC strategies and enhance SCT.

The authors examine psychologically informed coaching approaches for evidence-based work-applied management through a meta-analysis. This analysis synthesized previous empirical coaching research evidence on cognitive behavioral and positive psychology frameworks regarding a range of workplace outcomes, including learning, performance and psychological well-being.

The authors undertook a systematic literature search to identify primary studies (k = 20, n = 957), then conducted a meta-analysis with robust variance estimates (RVEs) to test the overall effect size and the effects of each moderator.

The results confirm that psychologically informed coaching approaches facilitated effective work-related outcomes, particularly on goal attainment (g = 1.29) and self-efficacy (g = 0.59). Besides, these identified coaching frameworks generated a greater impact on objective work performance rated by others (e.g. 360 feedback) than on coachees' self-reported performance. Moreover, a cognitive behavioral-oriented coaching process stimulated individuals' internal self-regulation and awareness to promote work satisfaction and facilitated sustainable changes. Yet, there was no statistically significant difference between popular and commonly used coaching approaches. Instead, an integrative coaching approach that combines different frameworks facilitated better outcomes (g = 0.71), including coachees' psychological well-being.

Effective coaching activities should integrate cognitive coping (e.g. combining cognitive behavioral and solution-focused technique), positive individual traits (i.e. strength-based approach) and contextual factors for an integrative approach to address the full range of coachees' values, motivators and organizational resources for yielding positive outcomes.

Building on previous meta-analyses and reviews of coaching, this synthesis offers a new insight into effective mechanisms to facilitate desired coaching results. Frameworks grounded in psychotherapy and positive appear most prominent in the literature, yet an integrative approach appears most effective.

The purpose of this paper is to present a new tool, business network information ecological chain (BNIEC) aiming to solve the current information problems in business network, make more profits to business websites and to maintain the sustainable development of the business network environment in Internet of Things (IoT) era.

From multi-disciplinary perspectives, learning from the knowledge in information ecology, economics, the IoT and system theory, this paper first analyzes the positioning of BNIEC in different subjects. Second, it proposes the definition, components and characteristics of BNIEC and designs the BNIEC concept map helping to understand the BNIEC system. Last, this paper builds the structural model and the information flow models of BNIEC.

The study first presents the concept of BNIEC and based on the trans-disciplinary point of view, builds the structure model of BNIEC from three aspects: nodes, relations among nodes and link modes and illustrates the model using the knowledge from the system theory. Also, it builds two kinds of the information flow models by the related information knowledge in IoT.

This paper aims to introduce not only a new tool but an ecological idea to business network companies, to create a pleasant network environment, more than that, to make more benefits for themselves. Meanwhile, it has important significance in the sustainable development of the business network environment, business websites, business network information resources and information technology. Especially in today’s IoT era, it shows an ecological thinking to solve the information problems in business network that we may face in the future.

This study aims to elucidate the process and internal mechanism of place identity construction in traditional villages under the impact of tourism by taking Cuandixia village as a case. The research methods comprise participatory observation and in-depth interviews with the residents. The main results are as follows: the impact of tourism on traditional villages is mainly reflected in space reconstruction, livelihood change, social relations restructuring and culture change; under the impact of tourism, the representation of residents’ identity construction shows complexity, with positive and negative effects; and the place identity construction of residents affects their perception of and attitudes toward tourism. Moreover, self-esteem and self-efficacy principles play a key role in their perception of tourism. This study provides some reference for further investigation of the tourism development model and the mental mechanism of residents in traditional villages.

This paper describes a study on the corrosion behaviour of archaeological bronze in simulated groundwater by means of a simulated occluded cell. The study revealed migration, enrichment and deposition patterns of ions in the environment and the cations produced by anodic dissolution during localised corrosion of bronze. The cycle voltametry technique was utilised for the first time on the study of electrochemical behaviour of the bronze/simulated occluded solution interface. The potential and current peaks of oxidation‐reduction at the cathode and anode in the occluded solutions at various time intervals facilitated a study of the corrosion products formation processes and their formation speeds.

The purpose of this study is to explore the factors impacting information poverty in western China and investigate to what extent these determinants contribute to information poverty in these areas.

Structural equation modeling (SEM) technique was used to analyze 232 valid responses collected from a survey to examine the research model and hypotheses in this study.

The results indicate that information literacy, information supply and information and communication technologies (ICTs) positively and significantly affect information poverty, while social prejudice and information orientation had no significant effects on information poverty.

Public libraries, government departments and other institutions should pay attention to the significant impact of information literacy, information supply and ICTs on information poverty and formulate corresponding systems and policies to alleviate or reduce information poverty.

In the past, few studies have focused on information poverty in western China and most of the existing research on information poverty adopts qualitative research methods, such as interview, systematic literature review and so on, while quantitative research is rare. In addition, the focus of these research studies was on one or two aspects, and a few of them can systematically study the influencing factors of information poverty. Inspired by the theories of information literacy, social prejudice and information poverty, this study comprehensively used a questionnaire survey and SEM to investigate the influences of information literacy, social prejudice, information supply, information orientation and ICTs on information poverty.

The purpose of this study is to explore the effects of recommendation algorithm, product reputation, new product novelty, privacy concern and privacy protection behavior on users’ satisfaction and continuance intention to use short-form video application (APP).

Based on the existing theories, the research model of this study was developed and 445 valid data were collected through a questionnaire survey. The partial least squares structural equation modeling (PLS-SEM) was employed for data analysis to test the research model and hypotheses.

The results reveal that the recommendation algorithm has a significant positive effect on user satisfaction, new product novelty and privacy concern. The influence of recommendation algorithm on privacy concern is negatively moderated by product reputation. Privacy concern has a significant and positive impact on privacy protection behavior, and privacy protection behavior has a significant and positive impact on user satisfaction. New product novelty also has significant impact on user satisfaction.

This study is one of the earliest studies to incorporate recommendation algorithm as a construct into the college students’ continuance intention to use short-form video APP. The influence of reputation as a moderator variable on the relationship between algorithm and privacy concerns is also investigated.