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The purpose of this study was to examine the mediating effect of three coping strategies (i.e. active, expressive, and denial coping) in the relationships between service failures (i.e. high- and low-contact service failures) and negative behavioral intentions (i.e. switching intention).

The critical incident technique (CIT) was used to identify the conceptually categorized service failure types in the fitness industry, and then confirmatory factor analysis (CFA) and structural equation modeling (SEM) were performed to examine the mediating effect of coping strategies among high-contact service failure and switching intention (study 1) and the mediating effect of coping strategies among low-contact service failure and switching intention (study 2).

While the mediating effect of coping strategies was significant in the relationship between high-contact service failures (study 1) and negative behaviors (i.e. switching intention and complaints), it was not significant in the relationship between low-contact service failures (study 2) and switching intention. Out of the three coping strategies, the impact of active coping was significant.

This study extends the understanding of the mediating effect of coping strategies in the relation between high- and low-contact service failures and switching intention.

Adolescents with harmful sexual behaviors (AHSB) who drop out of treatment are more likely to continue offending than are those who complete treatment; therefore, it is important to identify factors that heighten the risk of dropout, so they can be detected early. The purpose of this paper is to present the predictors of treatment dropout derived from a community sample of AHSB in New Zealand.

Pretreatment data on 100 males (aged 12–16) in community-based treatment for harmful sexual behavior were analyzed. Data on 50 adolescents who dropped out were matched by age and ethnicity to 50 adolescents who completed treatment. Pretreatment variables were identified using the Estimate of Risk of Adolescent Sexual Offence Recidivism. The degree to which these variables influenced treatment dropout was tested using logistic regression.

Compared to those who completed treatment, adolescents who dropped out were more likely to have a prior history of personal victimization, to deny or minimize their behavior, to have been mandated to attend treatment and to have engaged in noncontact offences.

Screening for a prior history of personal victimization, denial or minimization, mandated treatment and noncontact offences may facilitate the prediction of dropout risk more confidently. Addressing these pretreatment risk variables has the potential to improve treatment completion rates.

To the best of the authors’ knowledge, this paper is the first to highlight treatment dropout predictors in a New Zealand community sample.

This study aims to address the following objectives: determine the pro-environmental behavior of students and professors engaged in the course Sustainable Tourism; determine the pro-environmental behavior component of the professor that has the highest influence on the pro-environmental behavior of students; and formulate a model describing the components of the pro-environmental behavior of the professor with significant influence on the pro-environmental behavior of students. It also evaluates the norm-activation-theory-aligned pro-environmental behavior of the course's instructor and the students taking the course after they participated in the course Sustainable Tourism.

A correlational analysis using the partial least squares structural equation modeling approach was conducted in the survey results to determine the specific components of the professor's pro-environmental behavior that influenced the students' pro-environmental behavior.

Situational responsibility, efficacy and denial of responsibility were proven more influential in shaping students' pro-environmental behavior. This implies that students learn and adopt a pro-environmental orientation through role modeling and practical application, not by knowledge acquisition.

This could improve the body of knowledge on pro-environmental behavior by analyzing the reciprocal relationships between the person who delivers the course that instills pro-environmental behavior and students who learn from their professors using the norm activation theory.

Risk assessment in elder abuse is usually considered an additive process; risk factors are viewed as independent, and the higher the number of risk factors, the higher the risk. This study aims to explore the effect of the interaction between cognitive structures (episodic memory, perceptual speed, verbal fluency, executive function) and functional dependency on elder abuse.

The authors collected data from 62 participants, aged between 64 and 94 years old, in the Minho region of Portugal. Face-to-face interviews were conducted to apply the assessment procedures.

Results showed that emotional abuse is predicted by episodic memory and phonemic fluency, financial abuse by perceptual speed and phonemic fluency and neglect by perceptual speed. Moderation analysis showed that these effects were greater for older adults with higher dependence on movement and lower dependence on hygiene and daily organization. This study supports the hypothesis that the risk of elder abuse is interactive, highlighting a limitation of current risk assessment procedures.

The current study explores the possibility of risk factors for elder abuse interacting. Understanding how risk factors interact can help to design more accurate measures of the risk of elder abuse.

This study aims to investigate the use of voluntary disclosure on mainstream social media platforms to examine strategic responses to the COVID-19 pandemic. It examines the influential factors and institutional pressures organisations faced when making disclosures on social media during the pandemic.

A two-stage qualitative approach was adopted. Stage one used content analysis to examine voluntary disclosures made by international organisations on social media during the emergence of the COVID-19 pandemic. Stage two comprised semi-structured interviews with individuals who were involved in the decision-making process around the social media disclosures.

This study’s findings reveal significant changes in disclosure practices due to COVID-19-related pressures. In addition to the utilisation of social media for signalling conformance with new pandemic-related norms and connecting with stakeholders, the evidence also reveals how organisations made use of strategic responses to COVID-19-related institutional pressures.

The findings reveal how social media was used as a means of timely voluntary disclosure during the examined crisis. The findings can inform the development of organisational guidelines and policies for the use of social media as a disclosure medium.

This study reveals how organisations used voluntary disclosure on social media as a strategic response to institutional pressures and the COVID-19 pandemic; this context is under-researched. The study also extends the application of the strategic response framework regarding voluntary disclosure via social media.

The purpose of this paper is to explore the perceptions, experiences and behaviors of women entrepreneurs and industry professionals in raising finance for women-led businesses and associated problems faced by the women entrepreneurs.

This qualitative research adopts a narrative inquiry strategy. In-depth interviews are used to collect data from women entrepreneurs and women industry professionals in Pakistan. NVivo qualitative data analysis software is used to organize, analyze and find insights in the qualitative data.

This research finds that women entrepreneurs struggle to secure financing for their businesses, and most of them have not been successful in obtaining loans from banks. Women entrepreneurs have relied on various sources of funding, including microfinance banks, grants, personal finance and family members. Some of the barriers to finance attainment for women entrepreneurs include sociocultural inhibitions, lack of awareness and limited information dissemination by financial institutions. Women professionals suggest that entrepreneurs should maintain a bank account, have proper documentation and show dedication to their business to improve their chances of obtaining financing.

This research provides theoretical contributions and methodological advancements in the study of financial inclusion for women-owned businesses in Pakistan. This research raises awareness about the difficulties women entrepreneurs face when trying to obtain credit from banks and other financial institutions and provides policy recommendations to inform the government about financial inclusion policies and financing policies for women entrepreneurs. Overall, this research contributes to the literature on financial access and access to finance for women-owned businesses in developing countries.

Based on the vulnerable group theory and theory of discouraged borrower, this paper has two important theoretical and practical implications. First, the findings of this study reveal that the financial services are indifferent to women, and there is a denial of women being vulnerable in the financial system, hence requiring a major policy shift to not portray women as vulnerable, as they will rationally feel risky and prefer to opt out of the financial system. Second, the findings suggest that the issue of access to finance for women is not in the financial services but in the women's capabilities and awareness. Therefore, a policy shift is suggested from “financial services for women” to “capability and awareness of women” to avail and access the current services.

This study addresses the ever-increasing cyber risks confronting the global banking sector, particularly in India, amid rapid technological advancements. The purpose of this study is to de velop an innovative cyber fraud (CF) response system that effectively controls cyber threats, prioritizes fraud, detects early warning signs (EWS) and suggests mitigation measures.

The methodology involves a detailed literature review on fraud identification, assessment methods, prevention techniques and a theoretical model for fraud prevention. Machine learning-based data analysis, using self-organizing maps, is used to assess the severity of CF dynamically and in real-time.

Findings reveal the multifaceted nature of CF, emphasizing the need for tailored control measures and a shift from reactive to proactive mitigation. The study introduces a paradigm shift by viewing each CF as a unique “fraud event,” incorporating EWS as a proactive intervention. This innovative approach distinguishes the study, allowing for the efficient prioritization of CFs.

The practical implications of such a study lie in its potential to enhance the banking sector’s resilience to cyber threats, safeguarding stability, reputation and overall risk management.

The originality stems from proposing a comprehensive framework that combines machine learning, EWS and a proactive mitigation model, addressing critical gaps in existing cyber security systems.