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The purpose of this paper is to provide an example of patient-led co-production.

The New Economics Foundation’s six principles of co-production (nef, 2013) have been used to frame the activities undertaken during the author’s relationship with a community mental health nurse.

This paper describes a co-produced project between a patient and a community mental health nurse to create a range of resources and to deliver training, resulting in mutual benefit for both parties.

This paper invites policy makers to consider the unique role that community mental health nurses can play in supporting patients with long-term challenges that have developed because of an imbalance and an abuse of power within earlier relationships; by adopting a co-production approach, centred on the patient’s interests and skills, a working partnership can be achieved wherein both parties feel that they matter.

Co-production is usually used with groups of stakeholders working together in an equitable way to design or deliver a new service; this paper, however, seeks to demonstrate how the process can be effectively used when the project is patient-led within the context of a therapeutic relationship.

This paper aims to provide an example of patient-led co-production.

Using the six principles of co-production to frame the activities undertaken during the author’s relationship with a community mental health nurse.

The paper describes the benefit of a collaborative support group for the three lived experienced participants and a mental health nurse.

Small support groups like the one described in this paper can be established effectively through the process of co-production between people with lived experience and mental health professionals working in partnership.

Co-production is usually used with groups of stakeholders working together in an equitable way to design or deliver a new service; this paper, however, seeks to demonstrate how the process can be effectively used when the project is patient-led within the context of a therapeutic relationship.

The study emphasizes the role of an individual's mindfulness and temperance in making employees fit their organizations by comparing the direct effect of mindfulness and its indirect effect through temperance on the employees' person–organization fit (P-O fit). Data were collected from 185 Indian employees working at managerial positions in manufacturing and service industries through an online questionnaire in a cross-sectional research design. Structure equation modelling (SEM) was used to test the associations, and it was observed that mindfulness among employees is positively related to their P-O fit. Similarly, employees' temperance is also positively associated with their P-O fit. Furthermore, it is observed that temperance acts as a partial mediator between mindfulness and P-O fit. Mindful employees would be more aware of their surroundings, making them aware of the values that the workplace demands. The same awareness would compel the employees to have temperance (self-control) to keep their values in line with organizational values. The study contributes to the virtue theory and the value congruence theory in the organizational context. This study recommends that the management promotes mindfulness and temperance among the employees through various interventions and new technological aids to promote the P-O fit of the employees. To the best of our knowledge, this original work has novelty to investigate the relationship of mindfulness with P-O fit, taking into account the role of temperance of the employee.

There is a strong prerequisite for organizations to analyze customer review behavior to evaluate the competitive business environment. The purpose of this study is to analyze and predict customer reviews of halal restaurants using machine learning (ML) approaches.

The authors collected customer review data from the Yelp website. The authors filtered the reviews of only halal restaurants from the original data set. Following cleaning, the filtered review texts were classified as positive, neutral or negative sentiments, and those sentiments were scored using the AFINN and VADER sentiment algorithms. Also, the current study applies four machine learning methods to classify each review toward halal restaurants into its sentiment class.

The experiment showed that most of the customer reviews toward halal restaurants were positive. The authors also discovered that all of the methods (decision tree, linear support vector machine, logistic regression and random forest classifier) can correctly classify the review text into sentiment class, but logistic regression outperforms the others in terms of accuracy.

The results facilitate halal restaurateurs in identifying customer review behavior.

Sentiment and emotions, according to appraisal theory, form the basis for all interactions, facilitating cognitive functions and supporting prospective customers in making sense of experiences. Emotion theory also describes human affective states that determine motives and actions. The study looks at how potential customers might react to a halal restaurant’s consensus on social media based on reviewers’ opinions of halal restaurants because emotions can be conveyed through reviews.

This study applies machine learning approaches to analyze and predict customer sentiment based on the review texts toward halal restaurants.

The purpose of this study is to investigate the antecedent factors influencing e-loyalty toward e-wallet payment apps in developing countries (e.g. Jordan). This study also investigates the mediating role of perceived usefulness (PU) and the moderating role of electronic word of mouth (e-WOM) toward these apps.

An online questionnaire was used for data collection from 251 actual users of e-wallet payment apps. To estimate and test the research-proposed model, the partial least squares structural equation modeling (PLS-SEM) was employed.

The results mainly confirm that perceived trust (PT), perceived financial cost (PFC) and perceived ease of use were found to be determinants of PU; perceived security (PS), PT, PFC, perceived ease of use and perceived enjoyment (PE) were found to be determinants of e-satisfaction, whereas e-satisfaction and e-WOM were found to be determinants of e-loyalty toward e-wallet payment apps. Likewise, the results support the significant effect of the moderating effect of e-WOM. Conversely, the direct and indirect impact of PU and perceived health benefits (PHB) on e-satisfaction is not supported; therefore, hypotheses H4, H5 and H9 were rejected.

This study contributes to the understanding of the critical success factors underlying e-wallet apps during and post-COVID-19 era, which can help policymakers in banks and other financial institutions (service providers) to increase the diffusion rate of financial inclusion by the usage of e-wallet apps.

The purpose of this paper is to critique and evaluate need-driven dementia compromised behavior theory and the health behavioral model using Meleis’ (2010) criteria of theory evaluation.

Theory critique using Meleis’ (2010) criteria of theory evaluation.

This paper provides a conclusion about each theory in terms of agitation in the elderly. Meleis’s (2010) criteria will be used for both theories to evaluate different components such as the relationship between structure and function, diagram of the theory, circle of the contagiousness, usefulness and external components.

The critique of the two theories broadened the nurses’ understanding of the connection between the NDB model and the behavior symptoms, including agitation and its related issues. Further studies need to be conducted to shed light on the other aspects of the behavioral symptoms in elderly with dementia that supports the results of this study, like its specific causes, trigger factors and other intervention strategies. Nurses should be able not only to understand the patient’s behavior symptoms but also to decode them into communication signals to meet their needs in a more effective way.

This paper aims to investigate the influence of the regional business environment on local firm innovation, considering various dimensions such as administrative, financial and legal environments.

Multiple regression analysis is employed to analyze archival data for firms listed on Chinese stock markets.

We find that the optimizations of the administrative and financial environments positively affect firm innovation, whereas the legal environment does not exert a similar impact. Our analysis also reveals that the business environment’s optimization significantly influences innovation in firms that are small, non-state-owned and operating in high-tech industries. Furthermore, the business environment acts as a moderating variable in the relationship between firm innovation and firm value.

This study contributes to a more comprehensive understanding of institutional-level determinants of firm innovation, highlighting the nuances of the legal environment and the importance of context-specific analysis, especially in emerging markets like China.

Developing countries can significantly enhance firm innovation by improving the business environment, including the optimization of administrative and financial systems, reducing transaction costs and ensuring capital supply. Tailored legal frameworks and alternative institutional strategies may also be explored.

This study explicitly emphasizes the governmental role in promoting firm innovation, shedding light on policy formulation and strategic alignment with local administrative policies.

To the best of our knowledge, this paper is the first to explore the relationship between the business environment and firm innovation using World Bank indicators in an emerging market context, providing novel insights into the unique dynamics of legal, financial and administrative sub-environments.

Drawing upon social cognitive theory, this study aims to investigate the potential predictors and consequences of social media health-misinformation seeking behavior during the coronavirus (COVID-19) pandemic.

Using a sample of 230 international students studying at Wuhan University and Beijing Language and Cultural University, China, this study employs structural equation modeling to analyze the collected data.

The results indicate that personal factors such as lack of health information literacy, environmental factors, information overload and social media peer influence have a significant effect on behavior, namely social media health-misinformation seeking behavior, which further influences outcomes, namely social media users' anxiety during the COVID-19 pandemic. In addition, both lack of health information literacy and social media peer influence have significant and direct effects on social media users' anxiety. However, the direct effect of information overload on social media users' anxiety is insignificant.

First, this study contributes to the literature on the individuals' social media health-misinformation seeking behavior, its precursors and its consequences, specifically on their mental healthcare during a pandemic situation. Second, this research is one of the pioneer studies that extend social cognitive theory to the context of social media health-misinformation seeking behavior and users' anxiety relationship.