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This study aims to investigate the moderating role of low and high failure severity levels on recovery satisfaction and on behavioral intentions through recovery satisfaction. This research adopted justice theory and regulatory focus theory to provide further explanations on the inconsistencies in the extant literature regarding service failure and responses to service recovery.

This study applied a scenario-based experimental design of two (perceived justice: low vs high) by two (failure severity: low vs high) between-subjects factorial design. Data was collected from 237 mobile phone users recruited via convenience sampling. This study examined the hypothesized relations using Hayes (2018) PROCESS macro version 4.0.

Perceived justice had a higher positive effect on recovery satisfaction at a high failure severity level. The direct effect of perceived justice on behavioral intentions was significant and positive only at a high level of failure severity, whereas the indirect effect of perceived justice on consumers’ positive behavior through recovery satisfaction was more positive at a high level of failure severity.

Justice theory and regulatory focus theory can be used to explain how a well-implemented recovery effort can offset losses that are caused by a highly severe service failure leading to satisfaction and positive responses. However, as this study was conducted within a telecommunication service context, this research needs to be replicated in other areas, including the use of other data collection methods and measurement of consumers’ regulatory focus orientation.

The findings of this study provide managers with valuable insights into the allocation of service providers’ resources for recovery actions according to consumers’ perceived severity levels to regain consumer satisfaction and continued positive behavioral intentions.

Past research on the effect of failure severity levels on recovery satisfaction and consumers’ positive behavioral intentions is scant, and those studies that examined severity levels have shown conflicting results. This study attempted to advance the research by examining the relationship between perceived justice, recovery satisfaction and behavioral intentions at low and high failure severity levels using justice theory and regulatory focus theory. None of the theories have been examined concurrently in the service failure and recovery framework.

This study aims to investigate the responses of young Chinese consumers with different cultural characteristics to negative brand information about electric vehicles.

The current study is quantitative research with an experimental method. It shows two different levels of severity for negative publicity and asks participants to self-report through questionnaires.

Chinese young consumers, being collectivist and of high uncertainty avoidance, tend to search for and spread information; consumers with low power distance search and share information more under low information severity. In addition, information search positively affects brand attitude under lower severity; negative word-of-mouth intention negatively affects brand attitudes at both severity levels.

The current study examines the influence of personal cultural values on information searching and negative information dissemination among young consumers, providing insights to complement previous studies. Furthermore, it explores how such exposure influences young consumers’ brand attitude and intention to purchase. Limitations include simple sample scopes and single-product stimuli.

This research highlights the importance of cultural dimensions in shaping young consumers’ responses to negative publicity. Marketers worldwide should consider cultural influence and develop specific strategies to address negative information about different products. Understanding customers’ unique characteristics and preferences can help marketers effectively tailor their approaches to counter negative publicity.

This study originally provides a supplement to prior studies on cultural dimensions and consumer behavior and provides suggestions to marketers on young Chinese consumers.

Given the popularity of online health communities (OHCs) and medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes useful answers and user-adopted standards in healthcare domain. However, few studies provide insights into how health information characteristics, provider characteristics and recipient characteristics jointly influence user information adoption decisions. To fill this research gap, this study examines the combined effects of physicians' certainty tone as information characteristics, seniority as provider characteristics and disease severity as recipient characteristics on patients' health information adoption.

Drawing on dual-process theory and information adoption model, an extended information adoption model is established in this study to examine the effect of attitude certainty on patients' health information adoption, and the moderating effects of online seniority and offline seniority, as well as patient motivation level—disease severity. Utilizing logit regression models, the authors empirically tested the hypotheses based on 4,224 Q&A records from a popular Chinese OHC.

The results show that (1) attitude certainty has a significant positive impact on patients' health information adoption, (2) the relationship between attitude certainty and information adoption is negatively moderated by physicians' online seniority, but is positively moderated by offline seniority; (3) there is a negative three-way interaction effect of attitude certainty, online seniority and disease severity on patients' health information adoption.

This study extends the information adoption model to examine the two-way interaction between argument quality and source reliability, as well as the three-way interaction with user motivation level, especially for health information adoption in the healthcare field. These findings also provide direct practical applications for knowledge contributors and OHCs.

Given the fierce competition in financial services, service failure management and trust restoration tactics are becoming strategic priorities. Studies investigating trust restoration have increased over the years due to the significance of trust in services and the frequency of trust violations. Drawing on the sense-making and defensive approaches of attribution theory, this study aims to explore the effectiveness of various trust recovery tactics (e.g. apology, explanation, and investigation) in financial services considering the prevalence of service failure severity.

Based on a scenario-based survey, this study gathered data from 402 consumers of different banks in Pakistan. The study analyzed the data using ordinary least square regressions and structural equation modeling.

The study indicated that explanation is more effective in repairing character-competence and commitment-based trust, while investigation remained highly effective for inducing congruence-based trust. Interestingly, an apology was more effective for communication-based trust repairing, while context-based trust recovery was unaffected against all recovery tactics. Despite the prevalence of severe service failure, recovery actions proved fully effective for character-competence and commitment-based trust while partially effective for congruence-based trust recovery. This study also found that severe service failure undermines the effectiveness of recovery actions in repairing communication and context-based trust.

The study extends the literature on trust recovery by integrating sense-making and defensive attribution theory. The sense-making approach contributes to the existing knowledge on trust recovery by elucidating how consumers and service providers develop a shared understanding to facilitate the recovery mechanism of multidimensional trust in financial services.

This study seeks to explore digital natives' mobile usage behaviors and, in turn, develop an analytic framework that helps articulate the underlying components of mobile addiction syndrome (MAS), its severity levels and mobile usage purposes.

The investigation adopts a survey method and a case study. The results of the former are based on 411 random classroom observations and 205 questionnaire responses, and the insights of the latter are derived from 24 interviews and daily observations.

The findings validate five distinctive signs that constitute MAS and their significant correlations with each of the Big Five personality traits. Classroom observations confirm the prevalence of addiction tendency among digital natives in the research context. Seven levels of MAS and six different mobile usage purposes further manifest themselves from case analysis. There appears to be a sharp contrast between the addicted and non-addicted groups in their mobile purposes and behavioral patterns. Additionally, family relationships seem influential in shaping non-addictive mobile usage behaviors.

Psychological perspectives on MAS may be important but insufficient. Empirical investigation on a global scale, especially with distinctive cross-cultural comparisons, will be highly encouraged. How MAS evolves over time should also serve as future research interests.

Teaching pedagogy of college education might need certain adjustments to intrigue digital natives' learning interests. Future managers might also need to adopt better performance measurements for digital natives who barely separate work from personal matters in their mobile devices.

Parents and healthcare institutions may need to develop response mechanism to tackle this global issue at home and in society. The long-term effects of the COVID-19 pandemic on MAS might also deserve global attention.

The analytic framework developed provides an original mechanism that can be valuable in identifying MAS severity and associated behavioral patterns.

Despite city authorities in Bangladesh being concerned about urban sustainability, they often face difficulties in addressing predominant urban challenges threatening urban sustainability, due to limited relevant literature. To reduce this gap, this study aims to address the predominant urban challenges and assess their severity levels in four city corporations of Bangladesh, e.g. Rajshahi, Sylhet, Barishal, and Gazipur.

Using a mixed-method approach, this study rigorously analyzed field-level data obtained from 1,200 residents across selected cities using diverse statistical techniques. The quantitative analysis included descriptive analysis, exploratory factor analysis, and chi-square tests, whereas qualitative insights were derived through thematic analysis.

The study uncovered nine predominant urban challenges under two crucial factors “Feeble Urban Management” and “Illicit Activities” that collectively explain 62.20% variance. “Feeble Urban Management” explains 44.17% variance, whereas “Illicit Activities” accounts for 18.13%. Within these challenges, uncontrolled urban sprawl, inadequate disaster management, congested roads, and shabby drainage and waste management pose significant threats to urban sustainability. Illicit activities, manifested by encroachment on water sources, grabbing roadside, destruction of natural properties, and activities undermining social security, compound the urban sustainability issue. Severity analysis reveals Sylhet (54.5%), Rajshahi (46.4%), and Barishal (31.2%) as highly impacted, whereas Gazipur exhibits moderate severity (66.7%).

The findings of this study reveal intrinsic insights into urban challenges in Bangladesh that will provide valuable guidance to city authorities, equipping them to implement integrated and effective initiatives and programs that overcome these predominant urban challenges, with a specific focus on Rajshahi, Sylhet, and Barishal city corporations.

Of all the deaths associated with disasters, bushfires account for 40% of these fatalities. The resulting fatalities are consequent upon householders’ decision-making, leading to late or non-evacuation from at-risk communities. However, while decision-making is a function of risk perception, this paper aims to investigate householders’ perceptions of bushfire risks following the catastrophic Black Summer bushfires of 2019/2020.

An inductive research approach was adopted. Thirty semi-structured interviews were conducted to elicit qualitative data from southeastern NSW, Australia householders. The data were collected via face-to-face and online Zoom. Each interview was recorded, transcribed using Otter.AI and thematically analyzed with NVivo 12 Pro (Braun and Clarke, 2006, 2019). In addition, inter-rater reliability was done by engaging an independent researcher to code the de-identified data independently. The codes were cross-checked for reliability and adjusted where necessary.

It was found that bushfire risk perceptions were high among the householders in bushfire at-risk communities following the 2019/2020 Black Summer bushfires. High levels of perceptions were recorded among the participants regarding the likelihood of bushfire occurrence, concern for bushfires, severity of bushfires and vulnerability to bushfire threats.

The study’s results do not reflect all householders in the southeastern part of NSW. It was limited to 30 householders who indicated their intentions to participate and are living in the study area. Therefore, future studies should be undertaken with more participants from broader geographical areas, including emergency responders like firefighters, recovery officers and non-government organizations in charge of recovery operations. This study will add to the prioritization of risk perceptions.

All else being equal, elevated bushfire risk perceptions among participants can potentially decrease the fatalities linked with bushfires and their subsequent ripple effects. This holds particularly true when residents opt for early self-evacuation from at-risk communities.

The paper contributes to developing a better understanding of the bushfire risk perceptions underlying the evacuation decision-making of the residents in bushfire at-risk communities in south-eastern NSW of Australia.

The paper contributes to the existing knowledge on bushfire risks by providing insights into residents’ perceptions after the catastrophic 2019/2020 Black Summer bushfires. As a qualitative study, it describes bushfire risk perceptions on four themes: likelihood, concern, severity and vulnerability, which is uncommon in many bushfire studies.

Consequence prediction is an emerging topic in safety management concerning the severity outcome of accidents. In practical applications, it is usually implemented through supervised learning methods; however, the evaluation of classification results remains a challenge. The previous studies mostly adopted simplex evaluation based on empirical and quantitative assessment strategies. This paper aims to shed new light on the comprehensive evaluation and comparison of diverse classification methods through visualization, clustering and ranking techniques.

An empirical study is conducted using 9 state-of-the-art classification methods on a real-world data set of 653 construction accidents in China for predicting the consequence with respect to 39 carefully featured factors and accident type. The proposed comprehensive evaluation enriches the interpretation of classification results from different perspectives. Furthermore, the critical factors leading to severe construction accidents are identified by analyzing the coefficients of a logistic regression model.

This paper identifies the critical factors that significantly influence the consequence of construction accidents, which include accident type (particularly collapse), improper accident reporting and handling (E21), inadequate supervision engineers (O41), no special safety department (O11), delayed or low-quality drawings (T11), unqualified contractor (C21), schedule pressure (C11), multi-level subcontracting (C22), lacking safety examination (S22), improper operation of mechanical equipment (R11) and improper construction procedure arrangement (T21). The prediction models and findings of critical factors help make safety intervention measures in a targeted way and enhance the experience of safety professionals in the construction industry.

The empirical study using some well-known classification methods for forecasting the consequences of construction accidents provides some evidence for the comprehensive evaluation of multiple classifiers. These techniques can be used jointly with other evaluation approaches for a comprehensive understanding of the classification algorithms. Despite the limitation of specific methods used in the study, the presented methodology can be configured with other classification methods and performance metrics and even applied to other decision-making problems such as clustering.

This study sheds new light on the comprehensive comparison and evaluation of classification results through visualization, clustering and ranking techniques using an empirical study of consequence prediction of construction accidents. The relevance of construction accident type is discussed with the severity of accidents. The critical factors influencing the accident consequence are identified for the sake of taking prevention measures for risk reduction. The proposed method can be applied to other decision-making tasks where the evaluation is involved as an important component.

This study examines the effect of stable institutional investors on firms' product quality failures. Furthermore, the authors investigate the channels through which institutional ownership stability enhances product quality management.

This study uses probit, ordered probit and negative binomial regression frameworks to investigate the research questions. In addition, the authors utilize the three-stage least-squares to address the endogeneity issues.

Using a sample of product recall incidents from 2012 to 2021, the authors find that firms with more stable institutional ownership have a lower probability, frequency and severity of recall incidents and adopt a proactive product recall strategy. Institutional investors with significant and persistent holdings improve quality management by reducing overinvestment and the use of option-linked and relative performance executive compensations. Furthermore, the influence of stable institutional owners on product quality failures is more pronounced in firms with low managerial ability and specialist CEOs. Lastly, the empirical evidence demonstrates that stable holdings by active investors have a more substantial impact on reducing product recalls than passive and other stable institutional holdings.

This study is the first to examine the impact of institutional ownership stability on firms' product recalls. The authors contribute to the literature on the benefits of stable institutional ownership on firm outcomes and the determinants of product quality failures.

Depression is one of the most overlooked psychiatric disorders among middle-aged and elderly men. Saffron (Crocus sativus L.) stigmas are a favorite and common spice that is used as an antidepressant, an anti-inflammatory and a sexual stimulant. This systematic review aimed to provide a comprehensive survey of the effects of saffron on depression in middle-aged and elderly men.

The authors searched Web of Science, PubMed, ProQuest, Cochrane, Science Direct, Scopus and Google Scholar databases to gather any relevant studies published from 1980 to September 2022. This review included studies that examined the relationship between depression and testosterone concentration (four studies) or saffron’s effects on testosterone and depression (six studies).

Observational research showed an association between testosterone and depression in middle-aged and elderly men. Furthermore, animal studies have found that saffron increased testosterone levels and decreased depression in males. There is evidence that testosterone may contribute to the mood. Besides its antioxidant and anti-inflammatory properties, this study proposed scientific mechanisms that saffron may also play a protective role against depression through its influence on testosterone, in middle-aged and elderly men. The general use of saffron at high doses or for prolonged periods may cause side effects; therefore, it is important to consult a health-care professional before the recommended dosage and duration of saffron supplementation, especially if a person has any underlying health conditions or is taking medications.

This study provides researchers with an additional perspective for conducting clinical trials on the use of saffron to enhance the mood of elderly men with testosterone deficiency.