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The current understanding of serendipity is based primarily on studies employing westerners as the participants, and it remains uncertain whether or not this understanding would be pervasive under different cultures, such as in China. In addition, there is not a sufficient systematic investigation of context during the occurrence of serendipity in current studies. The purpose of this paper is to examine the above issues by conducting a follow-up empirical study with a group of Chinese scholars.

The social media application “WeChat” was employed as a research tool. A diary-based study was conducted and 16 participants were required to send to the researchers any cases of serendipity they encountered during a period of two weeks, and this was followed by a post-interview.

Chinese scholars experienced serendipity in line with the three main processes of: encountering unexpectedness, connection-making and recognising the value. An updated context-based serendipity model was constructed, where the role of context during each episode of experiencing serendipity was identified, including the external context (e.g. time, location and status), the social context and the internal context (e.g. precipitating conditions, sagacity/perceptiveness and emotion).

The updated context model provides a further understanding of the role played by context during the different processes of serendipity. The framework for experiencing serendipity has been expanded, and this may be used to classify the categories of serendipity.

This paper presents an initial development of a personal data attitude (PDA) measurement instrument based on established psychometric principles. The aim of the research was to develop a reliable measurement scale for quantifying and comparing attitudes towards personal data that can be incorporated into cybersecurity behavioural research models. Such a scale has become necessary for understanding individuals’ attitudes towards specific sets of data, as more technologies are being designed to harvest, collate, share and analyse personal data.

An initial set of 34 five-point Likert-style items were developed with eight subscales and administered to participants online. The data collected were subjected to exploratory and confirmatory factor analyses and MANOVA. The results are consistent with the multidimensionality of attitude theories and suggest that the adopted methodology for the study is appropriate for future research with a more representative sample.

Factor analysis of 247 responses identified six constructs of individuals’ attitude towards personal data: protective behaviour, privacy concerns, cost-benefit, awareness, responsibility and security. This paper illustrates how the PDA scale can be a useful guide for information security research and design by briefly discussing the factor structure of the PDA and related results.

This study addresses a genuine gap in research by taking the first step towards establishing empirical evidence for dimensions underlying personal data attitudes. It also adds a significant benchmark to a growing body of literature on understanding and modelling computer users’ security behaviours.

The increasing accumulation of synthetic plastic waste in oceans and landfills, along with the depletion of non-renewable fossil-based resources, has sparked environmental concerns and prompted the search for environmentally friendly alternatives. Biodegradable plastics derived from lignocellulosic materials are emerging as substitutes for synthetic plastics, offering significant potential to reduce landfill stress and minimise environmental impacts. This study highlights a sustainable and cost-effective solution by utilising agricultural residues and invasive plant materials as carbon substrates for the production of biopolymers, particularly polyhydroxybutyrate (PHB), through microbiological processes. Locally sourced residual materials were preferred to reduce transportation costs and ensure accessibility. The selection of suitable residue streams was based on various criteria, including strength properties, cellulose content, low ash and lignin content, affordability, non-toxicity, biocompatibility, shelf-life, mechanical and physical properties, short maturation period, antibacterial properties and compatibility with global food security. Life cycle assessments confirm that PHB dramatically lowers CO₂ emissions compared to traditional plastics, while the growing use of lignocellulosic biomass in biopolymeric applications offers renewable and readily available resources. Governments worldwide are increasingly inclined to develop comprehensive bioeconomy policies and specialised bioplastics initiatives, driven by customer acceptability and the rising demand for environmentally friendly solutions. The implications of climate change, price volatility in fossil materials, and the imperative to reduce dependence on fossil resources further contribute to the desirability of biopolymers. The study involves fermentation, turbidity measurements, extraction and purification of PHB, and the manufacturing and testing of composite biopolymers using various physical, mechanical and chemical tests.

The purpose of this paper is to develop a new multi-objective optimization procedure for crashworthiness optimization of thin-walled structures especially circular tubes with functionally graded thickness.

The proposed optimization approach is based on finite element analyses for construction of sample design space and verification; gene-expression programming (GEP) for generating algebraic equations (meta-models) to compute objective functions values (peak crash force and specific energy absorption) for design parameters; multi-objective genetic algorithms for generating design parameters alternatives and determining optimal combination of them. The authors have also utilized linear and non-linear least square regression meta-models as a benchmark for GEP.

It is shown that the proposed approach is able to generate Pareto optimal designs which are in a very good agreement with the actual results.

The paper presents the application of a genetic programming-based method, namely, GEP first time in the literature. The proposed approach can be used to all kinds of related crashworthiness problems.

This study aims to investigate the effect of supervisor bottom-line mentality (SBLM) on subordinate work well-being using self-determination theory. Furthermore, it examines the mediating role of subordinate harmonious work passion (HWP) and obsessive work passion (OWP), as well as the moderating role of subordinate family motivation on the indirect effect of SBLM on subordinate work well-being.

The authors conducted two studies, an experiment and a field study, to test the hypotheses. In Study 1, the authors conducted an experimental study using a sample of 127 undergraduate students to examine how family motivation moderates the relationship between SBLM and subordinate work passion. Concurrently, in Study 2, the authors conducted a time-lagged field study involving 261 corporate employees in China to validate the findings derived from Study 1, as well as test the entire conceptual model.

The authors find in Study 1 that family motivation moderates the effects of SBLM on subordinate HWP and OWP. Nevertheless, Study 2 uncovers a negative association between SBLM and subordinate work well-being, with HWP and OWP mediating this relationship. Besides, family motivation moderates the mediating effect of HWP on the relationship between SBLM and subordinate work well-being.

The main contribution of this study is that the negative effect of SBLM impacts subordinate work well-being, thereby building an accurate and fine-grained knowledge base of the detrimental effects of bottom-line mentality (BLM). Additionally, this study expands the frontiers of knowledge in this area by investigating the mediating mechanisms and boundary conditions of SBLM on subordinate work well-being, effectively addressing a theoretical gap in BLM research.

The purpose of this paper is to examine the impact of short sale prospect on future income smoothing.

This study examines how short sale prospect impacts future income smoothing. This study follows prior research and uses two measures of income smoothing. One is the correlation between the change in prediscretionary income and the change in discretionary accruals. The other is the variability of earnings relative to the variability of cash flows.

This study finds that short sale prospect has a negative impact on future income smoothing. This finding is robust to use different measures of short sale prospect and income smoothing and to subsample tests. Additional analysis reveals that short sale prospect, by curbing income smoothing, reduces future stock price crash risk.

To the best of the authors’ knowledge, this study is the first to examine the impact of short selling on firms’ subsequent smoothing of reported income. This study contributes to the earnings quality literature by demonstrating the governance role of short selling on future earnings smoothness.

Based on the conservation of resources (COR) theory, this paper aims to explore the potential influence of perceived subordinates’ negative workplace gossip on abusive supervision in China. Moreover, the COR theory helps in examining the mediating role of self-esteem threat and psychological distress and the moderating role of mindfulness on the effects of perceived subordinates’ negative workplace gossip on abusive supervision.

Data was collected from 305 supervisor-subordinate dyads in China using the time-lagged and multi-source methods and hierarchical regression analysis was used to analyze the data.

Results reveal that perceived subordinates’ negative workplace gossip is positively related to abusive supervision and the relationship is moderated by the supervisor’s traits of mindfulness. In addition, perceived subordinates’ negative workplace gossip has an indirect effect on abusive supervision via self-esteem threat (cognition) and psychological distress (emotion).

The study helps to understand the influence of perceived subordinates’ negative workplace gossip on abusive supervision based on the COR theory. At the same time, it also enriches the understanding of the internal mechanism between perceived subordinates’ negative workplace gossip and abusive supervision.

The purpose of this chapter is to compile the expected scenarios of development of information economy in the global economic system, determine the role of scenario that envisages practical implementation of the new model of a well-balanced information economy among these scenarios according to the criterion of effectiveness and probability, and select and substantiate the optimal scenario.

Due to the absence of initial statistical information that allows characterizing the basic conditions for further development of information economy in the global economic system, the method of stochastic modeling is used for describing forecast scenarios in this chapter. This method is used due to its applicability for forecast analysis in the conditions of uncertainty. With the help of this method, qualitative description of the expected scenarios of development of information economy in the global economic system is accompanied by selected quantitative characteristics, which are conventional, that is, they are given for comparing various scenarios, not for specifying a precise value of estimate indicators. Comparison of the expected scenarios of development of information economy in the global economic system is conducted using comparative analysis method.

It is concluded that the most effective and optimal scenario is the one that supposes implementation of the offered new model of a well-balanced information economy – despite its lower probability as compared to the other scenarios.

The set optimal expected scenario of development of information economy, which envisages application of its new well-balanced model, is recommended for practical implementation in the modern economic systems.