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One of the primary challenges of conducting information encountering (IE) research is the difficulty in capturing people's IE experiences. The purpose of this paper is to develop a general description framework of IE experiences as guidance for participants to record diary entries in diary studies of IE.

340 descriptions of IE incidents were collected from 18 previous IE studies as secondary data. A thematic analysis of the secondary data engendered a general description framework of IE experiences composed of 9 main themes and 31 sub-themes. The framework was then applied in a diary study to investigate Generation Z's online IE behavior.

The nine main themes of the framework, including “environment”, “foreground activity”, “stimulus noticed”, “reaction to stimulus”, “content examined”, “interaction with encountered information”, “value of experience”, “pre-encountering emotional state”, and “post-encountering emotional state”, were used to create a diary questionnaire for collecting IE incidents. The sub-themes were refined and organized into a coding scheme for the content analysis of the incidents collected. The diary study collected 255 valid IE incidents which were analyzed based on three phases, that is, pre-encountering, encountering, and post-encountering.

The value of this study consists in its methodological contributions. First, it makes creative use of secondary data accumulated in the literature and derives from the thematic analysis a general framework which people follow to describe their IE experiences. Second, it demonstrates the great potential of diaries for data collection in IE research through the successful application of the general description framework of IE experiences in a diary study. Third, the diary questionnaire created based on the framework provides sufficient guidance in eliciting complete and detailed IE incidents.

Digital libraries and social media are two sources of online information with different characteristics. The purpose of this paper is to integrate self-efficacy into the analysis of the relationship between information sources and decision making, and to explore the effect of self-efficacy on decision making, as well as the interacting effect of self-efficacy and information sources on decision making.

Survey data were collected and the partial least squares structural equation modeling was employed to verify the research model.

The effect of digital library usage for acquiring information on perceived decision quality (PDQ) is larger than that of social media usage for acquiring information on PDQ. Self-efficacy in acquiring information (SEAI) stands out as the key determinant for PDQ. The effect of social media usage for acquiring information on PDQ is positively moderated by SEAI.

Decision making is a fundamental activity for individuals, but human decision making is often subject to biases. The findings of this study provide useful insights into decision quality improvement, highlighting the importance of SEAI in the face of information overload.

This study integrates self-efficacy into the analysis of the relationship between information sources and decision making, presenting a new perspective for decision-making research and practice alike.

The environment of international business (IB) and the capabilities of emerging market multinational enterprises (EMNEs) as well as their home countries have changed significantly, leading to some new features of liability of origin (LOR). This paper aims to extend the LOR literature by particularly focusing on the LOR of Chinese multinational enterprises (MNEs) and by taking into account the heterogeneity among industries and across individual MNEs.

Based on the stereotype content model and organizational legitimacy perspective, this study explores how LOR influences Chinese MNEs’ cross-border acquisition completions. Several hypotheses were tested by using a binary logistic regression model with panel data techniques based on data of 780 Chinese MNEs’ acquisition deals between 2008 and 2018.

The results of this study show that when the competence dimension of China’s LOR is perceived as high in the host country, Chinese MNEs are less likely to complete cross-border acquisitions. Moreover, deals are less likely to be completed when the warmth dimension of China’s LOR is perceived to be low. Global experience and the foreign-listed status of individual Chinese MNEs can alter the relationship between the LOR and deal completions.

This study advances and enriches the LOR research. It shows that a high level of competence in the home country has led to LOR for Chinese MNEs rather than the low level of competence proposed by existing LOR studies; and the LOR for Chinese MNEs is also determined by the perceived low level of warmth in the home country resulting from the geopolitical conflicts between two countries. In addition, the LOR suffered by EMNEs could vary based on certain industry- and firm-level characteristics. The findings of this study provide important practical implications for emerging economy governments and for firms intending to go abroad.

The headlines of online news are created carefully to influence audience news selection today. The purpose of this paper is to investigate the relationships between news headline presentation and users’ clicking behavior.

Two types of unobtrusive data were collected and analyzed jointly for this purpose. A two-month server log file containing 39,990,200 clickstream records was obtained from an institutional news site. A clickstream data analysis was conducted at the footprint and movement levels, which extracted 98,016 clicks received by 7,120 headlines ever displayed on the homepage. Meanwhile, the presentation of these headlines was characterized from seven dimensions, i.e. position, format, text length, use of numbers, use of punctuation marks, recency and popularity, based on the layout and content crawled from the homepage.

This study identified a series of presentation characteristics that prompted users to click on the headlines, including placing them in the central T-shaped zones, using images, increasing text length properly for greater clarity, using visually distinctive punctuation marks, and providing recency and popularity indicators.

The findings have valuable implications for news providers in attracting clicks to their headlines. Also, the successful application of nonreactive methods has significant implications for future user studies in both information science and journalism.

In the absence of previous work, this study investigates how the psychological contract (PC) influences the safety performance of construction workers in China.

The literature is first consulted to obtain a set of PC and safety performance measures that fits the specific situation of construction workers, which is then moderated by five construction experts. A questionnaire survey of 206 workers from 4 different construction sites is followed by a descriptive statistical analysis of the nature of the PC and level of the safety performance of the respondents. Finally, a regression analysis is used to ascertain the level of influence of the PS, and an analysis is made of the influence of PC on safety performance.

A set of PC and safety performance measures is identified that fits in the construction workers' specific situation. The PC of the respondents is found to be intact and well-performed, and their safety performance is maintained at a high level. Safety performance is highly influenced by the state of the PC, with the three dimensions of safety performance (safety result, safety compliance and safety participation) positively correlated with the three dimensions of the PC (normative, interpersonal and developmental).

Suggestions are made to improve safety production management and safety performance by providing adequate material and economic conditions, helping the workers establish good interpersonal relationships and realize their personal values.

Photographs are a kind of cultural heritage and very useful for cultural and historical studies. However, traditional or manual research methods are costly and cannot be applied on a large scale. This paper aims to present an exploratory study for understanding the cultural concerns of libraries based on the automatic analysis of large-scale image collections.

In this work, an image dataset including 85,023 images preserved and shared by 28 libraries is collected from the Flickr Commons project. Then, a method is proposed for representing the culture with a distribution of visual semantic concepts using a state-of-the-art deep learning technique and measuring the cultural concerns of image collections using two metrics. Case studies on this dataset demonstrated the great potential and promise of the method for understanding large-scale image collections from the perspective of cultural concerns.

The proposed method has the ability to discover important cultural units from large-scale image collections. The proposed two metrics are able to quantify the cultural concerns of libraries from different perspectives.

To the best of the authors’ knowledge, this is the first automatic analysis of images for the purpose of understanding cultural concerns of libraries. The significance of this study mainly consists in the proposed method of understanding the cultural concerns of libraries based on the automatic analysis of the visual semantic concepts in image collections. Moreover, this paper has examined the cultural concerns (e.g. important cultural units, cultural focus, trends and volatility of cultural concerns) of 28 libraries.

This paper seeks to clarify the process that leads employees and prospective applicants to be attracted to remain with the organization or apply for a job offer in private companies in Zhejiang, China.

The paper applies concepts from marketing to people management, particularly the concept of brand equity. It proposes, on the basis of a literature review and preliminary interview data in three private companies in Hangzhou, Zhejiang, that prospective applicants and employees evaluate job offers or organizational positions based both on organizational attractiveness (OA) and on employee‐based brand equity (EBBE) perceptions. It then presents a model of the relationship between OA and EBBE for future research in China, proposing the particular importance of the dimensions “economic value”, “development value” and “social value” for Chinese employees. It then suggests implications for future research and practice, especially the relationship between OA and EBBE for both Chinese employees, job seekers and applicants.

The private economy is significant to China, accounting for 65 per cent of gross domestic product (GDP) and 56 per cent of total tax revenue. For Zhejiang, a private economy‐dominated province, talent recruitment and turnover are problems that hinder future development. OA and EBE may play a key role in intentions to accept a job offer, and as a mediator and a key variable in the initial recruitment.

The paper draws on preliminary interview studies in China to propose a framework for future research to clarify the role of OA and EBBE in Chinese job choice intentions and behaviours.

Recruitment messages and internal branding communications should focus on EBBE so as to influence OA perceptions and job intentions in China. Social, economic and development value are suggested as particularly important dimensions of EBBE in China.

The study clarifies the role of OA and EBBE in the process that leads to the intention to apply, respond to job offers, and remain with the organization, and discusses implications for further research and practice in China.

Information encountering is the serendipitous acquisition of information that requires low or no involvement and expectation of users. The purpose of this paper is to model the explicit process and the implicit factors of online information encountering, i.e. how and why it occurs.

The critical incident technique was adopted to collect qualitative data from 16 interview participants. They contributed 27 true incidents of online information encountering which were used to identify the key phases of the encountering process. They also commented on the factors that they thought had an influence on the chance of the occurrence of encountering.

The macro-process of information encountering is composed of three phases. First, browsing, searching, or social interaction provides the context for encountering; second, the encountering occurrence consists of three steps – noticing the stimuli, examining the content, and acquiring interesting or useful content; and third, the information encountered will be explored further, saved, used, or shared. The 14 influencing factors of information encountering obtained divide into three clusters. User-related factors include sensitivity, emotions, expertise, attitudes, intentionality, curiosity, activity diversity; information-related factors include type, relevance, quality, visibility, and sources; and environment-related factors include time limits and interface usability.

This study engenders useful implications for designing information encountering experience. The changeable nature of some influencing factors suggests that encountering can be elicited through the purposive design of encountering support features or even encountering systems, and the macro-process depicts the natural occurring mechanisms of encountering for the design to follow.

Social library systems are Web 2.0 sites where users discover interesting books, movies, and music, etc., collect these resources to their personal libraries, and share their collections with others. The purpose of this study is to identify the information seeking modes adopted by users in this context as well as to reveal the characteristics of the users who are dominated by each mode.

An online survey was conducted to capture the background and behavior data of regular users from Douban, the most influential Chinese‐language social library system. The “friend‐of‐a‐friend” recruitment technique resulted in a total of 129 responses, 112 of which were valid and analyzed to generate both descriptive and inferential statistics.

Searching, browsing, encountering, and monitoring are the four major information seeking modes adopted by social library system users. The majority of the users tend to combine two or more modes, but each user has a dominating one that helps define him/her as a searcher, browser, encounterer, or monitor. While searching is the most widely adopted mode, browsers are the most prevalent type of information seekers. Different information seekers do not demonstrate significantly different characteristics by and large, however with some exceptions.

This study is one of the first to investigate how users look for resources in social library systems, a problem neglected by previous studies mostly focusing on how users organize and tag resources. The research findings enrich our understanding of social library systems as diverse and dynamic information seeking environments. This in turn will provide useful implications for their interface design to more effectively address the needs and expectations of special types of information seekers.

Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering.

This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined.

The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50.

To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.