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This study aimed to develop a psychometrically reliable job satisfaction (JS) measure for university employees, guiding administrative decisions and monitoring satisfaction over time in public universities.

A JS survey developed by a Brazilian federal university’s sustainability committee containing 58 items across physical, cognitive and organizational domains was longitudinally tested with 1,214 responses collected. The data were analyzed using Item Response Theory (IRT) analysis, employing the Graded Response Model, with tools such as frequency analysis, item characteristic curve, and full-information factor analysis in RStudio. The scale’s criterion validity was also established via expert qualitative interpretation.

The instrument’s internal consistency was confirmed as the results demonstrated its high reliability with a marginal reliability coefficient of 0.95. Significant findings revealed that recognition and supervisor relationships were key discriminators of JS and that workers began to perceive satisfaction when basic environmental conditions were met.

It is important to mention that the application of this scale is specifically limited to higher education institutions and may not be directly applicable to other educational settings or industry sectors without modifications.

Although numerous measures and scales have been developed to assess JS, one elaborated by using IRT in a public university environment was lacking. Due to shifting dynamics in the workplace, traditional measurement of JS has proven inadequate, necessitating a more precise, accessible and updated tool. The developed scale allows precisely targeted interventions to improve JS and can be reapplied to evaluate their effectiveness. This research thus contributes a valuable tool for academic organizational psychology, enhancing the understanding of the measurement of JS.

Integrating person-job fit theory with the stressor-emotion model of counterproductive work behavior (CWB), the current study aims to examine which behavioral pattern (fight: CWB vs flight: withdrawal) employees are more likely to adopt when they experience perceived overqualification (POQ). We further investigate anger as the underlying emotional mechanism for these relations because anger can be expressed and thus reflected in CWB, or constrained and thus reflected in withdrawal behavior. Furthermore, different stressor-attenuating strategies including relaxation during work breaks and mastery experiences at work are examined as mitigating factors of these relations.

Time-lagged data were collected from 176 full-time employees in China using a field survey research design.

We found that employees who experience POQ are more likely to engage in withdrawal than in CWB. Anger mediated the relations of POQ with both CWB and withdrawal. Relaxation moderated the relation between POQ and anger, as well as the indirect relations of POQ with CWB and withdrawal through anger.

This study enhances understanding of employees’ affective and behavioral reactions to POQ. However, the survey design was not longitudinal and causality cannot be established.

POQ is associated with undesirable employee behaviors and should therefore be avoided by organizations. If POQ is unavoidable, organizations can use job design and offer training to foster relaxation in between tasks among employees.

In the framework of person-job fit theory, our study provides insight about employees’ “fight” or “flight” responses to POQ, and further illustrates the mechanism and the attenuating factors in this processes.

Despite the immense popularity of WhatsApp, there needs to be more reliable and valid scales for identifying and measuring users' motivation behind frequent WhatsApp status updates. This study explores the underlying motivations of users in updating their WhatsApp statuses and develops a scale to measure them.

Following a mixed-method research design, data were obtained from WhatsApp users in India. The current research furnishes results from five studies, involving both qualitative and quantitative approaches.

The results uncover seven unique motivations of users for keeping WhatsApp status, namely: social good, attention seeking, social relations, expressing views, life updates, inspiration and entertainment. Additionally, the empirical findings demonstrate the effects of the above dimensions on the positive and negative emotions of users.

This research is a pioneering effort in developing and validating a scale on WhatsApp status motivation construct. Key managerial and scholarly implications of the findings arising from this research are also discussed.

The main purpose of this study is to test for the interaction effect of digital literacy in the relationship between financial technologies (FinTechs) of biometrics and mobile money and digital financial inclusion among the unbanked poor women, youth and persons with disabilities (PWDs) in rural Uganda.

Covariance-based structural equation modeling was used to construct the interaction effect using data collected from the unbanked poor women, youth and PWDs located in the four regions in Uganda as prescribed by Hair et al. (2022).

The findings from this study are threefold: first; the results revealed a positive interaction effect of digital literacy between FinTechs of biometrics and mobile money and digital financial inclusion. Second; the results also confirmed that biometrics identification positively promotes digital financial inclusion. Lastly; the results showed that mobile money positively promotes digital financial inclusion. A combination of FinTechs of biometrics and mobile money together with digital literacy explain 29% variation in digital financial inclusion among the unbanked poor women, youth and PWDs in rural Uganda.

The data for this study were collected mainly from the unbanked poor women, youth and PWDs. Further studies may look at data from other sections of the vulnerable population in under developed financial markets. Additionally, the data for this study were collected only from Uganda as a developing country. Thus, more data may be obtained from other developing countries to draw conclusive and generalized empirical evidence. Besides, the current study used cross sectional design to collect the data. Therefore, future studies may adopt longitudinal research design to investigate the impact of FinTechs on digital financial inclusion in the presence of digital literacy across different time range.

The governments in developing countries like Uganda should support women, youth, PWDs and other equally vulnerable groups, especially in the rural communities to understand and use FinTechs. This can be achieved through digital literacy that can help them to embrace digital financial services and competently navigate and perform digital transactions over digital platforms like mobile money without making errors. Besides, governments in developing countries like Uganda can use this finding to advocate for the design of appropriate digital infrastructures to reach remote areas and ensure “last mile connectivity for digital financial services' users.” The use of off-line solutions can complement the absence or loss of on-line network connectivity for biometrics and mobile money to close the huge digital divide gap in rural areas. This can scale-up access to and use of financial services by the unbanked rural population.

This paper sheds more light on the importance of digital literacy in the ever complex and dynamic global FinTech ecosystem in the presence of rampant cyber risks. To the best of the authors' knowledge, limited studies currently exist that integrate digital literacy as a moderator in the relationship between FinTechs and digital financial inclusion, especially among vulnerable groups in under-developed digital financial markets in developing countries. This is the novelty of the paper with data obtained from the unbanked poor women, youth and PWDs in rural Uganda.

To better understand employees’ preferred extent for working from home (WFH) setting that implies physical distance from clients and co-workers and enhanced physical proximity to others at home, this study, relying on job-demands resources (J-DR) theory, aims to investigate the relationships between this preference with both the perceived increase in emotional job demands and the exposure to childcare demands. Thus, this study aims to investigate the mediating role of perceived job difficulty in the relationship between emotional job demands and the preferred extent for WFH, and the moderating role of gender in the relationship between the number of children and the preferred extent for WFH.

A total of 239 employees who began WFH during the pandemic completed an online survey. Structural equation modelling was conducted to analyse the data and test the hypotheses.

As expected, an increase in emotional job demands had a significant negative indirect association with the preferred extent for WFH, through perceived increase in job difficulty. Furthermore, the number of children was negatively related to the preferred extent for WFH among male but not female employees.

The findings provide insights for promoting employees’ preferred extent for WFH.

The study points to a relationship between emotional job demands and employee attitudes towards WFH in terms of increased job difficulty and the preferred extent for WFH. It also points to the need to investigate the interaction between sex and number of children to understand employees’ preferred extent for WFH.

Although numerous studies have been conducted to explore the impact of various factors on employees' turnover intention and intention to remain with the organization, the relationship between these two constructs remains largely unexplored. Considering the significance of these constructs, particularly in the context of the COVID-19 pandemic, the authors aimed to investigate their association within an academic environment using a dynamic modeling approach.

This study follows a quantitative approach and utilizes a longitudinal survey design. The authors utilized a cross-lagged panel model (CLPM) and employed the parametric efficient partial least squares (PLSe2) methodology to estimate the dynamic model using data gathered from lecturers associated with both public and private universities in Malaysia. In order to offer methodological insights to applied higher education researchers, the authors also compared the results with maximum likelihood (ML) estimation.

The findings of the authors' study indicate a reciprocal relationship between turnover intention and intention to remain with the organization, with intention to remain with the organization being a stronger predictor. Moreover, situational factors were found to have a greater influence on eliciting turnover intention within academic settings. As anticipated, the use of the PLSe2 methodology resulted in higher R² values compared to ML estimation, thereby reinforcing the effectiveness of PLS-based methods in explanatory-predictive modeling in applied studies.

The authors' findings suggest prioritizing policies that enhance training and consultation sessions to foster positive attitudes among lecturers. Positive attitudes significantly impact judgment-driven behaviors like turnover intention and intention to remain with the organization. Additionally, improving working environments, which indirectly influence judgment-driven behaviors through factors like affective work events, affect and attitudes, should also be considered.

This study pioneers the examination of the causal relationship between turnover intention and intention to remain with the organization, their stability over time and the association of changes in these variables using a dynamic CLPM in higher education. It introduces the novel application of the cutting-edge PLSe2 methodology in estimating a CLPM, providing valuable insights for researchers in explanatory-predictive modeling.

Amidst the stressful work environment in the healthcare sector, employees struggle to maintain prosocial behavior and work reattachment. The potential role of awe and mindfulness in addressing these issues remains unexplored. This study investigates how coworker prosocial behavior affects work reattachment while considering the mediating role of mindfulness and the moderating role of awe.

Using a quantitative research design, data were collected through a survey questionnaire from 356 healthcare professionals in Pakistan. The data were analyzed in SPSS and AMOS for reliability and validity statistics, as well as for hypothesis testing.

The findings revealed a significant link between coworker prosocial behavior and work reattachment. Mindfulness acted as a mediator between coworker prosocial behavior and work reattachment, while awe had a positive moderating effect on these relationships.

The findings emphasize the need for fostering these elements to manage stress, support employees and improve work reattachment.

The existing literature lacks empirical evidence regarding the impact of coworker prosocial behavior on employee outcomes, and this study contributes by examining the roles of awe and mindfulness in the healthcare sector.

The concept of online shopping has been in vogue for the past two decades and is on the rise. Even developing countries like Pakistan are using electronic platforms to buy and sell goods and services, and the trend has been increasing ever since the COVID-19 pandemic. Drawing on the expectancy-disconfirmation theory, this study aims to test the e-service quality (E-SQ) and e-customer satisfaction (ECS) linkage with the mediating roles of functional values (FVs) and hedonic values (HVs).

The data have been collected from 298 customers of AliExpress and Daraz e-commerce platforms and analyzed using covariance-based structural equation modeling (CB-SEM).

The results of the study showed a significant positive relationship between E-SQ and ECS and indirect linkage through FVs and HVs have also been established.

E-commerce platforms, particularly in Pakistan, should place a strong emphasis on FVs by providing accurate product details, user-friendly navigation, transparent pricing and streamlined transactions. Customers' trust and confidence will increase if they have a smooth and effective online purchasing experience. Customer satisfaction may be influenced by regular platform functionality and usability changes.

The use of functional and HVs is considered to be a novel factor in testing the relationship between E-SQ and ECS.

The current study examined several aspects of validity evidence for the Faculty Readiness to Teaching Online (FRTO) scale.

Data were collected from 307 faculty in higher education. Construct validity was evidenced through an exploratory factor analysis and a reliability coefficient. Differential validity was explored using the differential item functioning analysis to explore potential bias in items due to gender and age. In addition, convergent validity was tested by correlating FRTO with years of teaching online, the primary modality of instruction and whether there is required training in online teaching by the institution.

The findings from validation showed that new factors emerged and also demonstrated differences based on instructors gender and age, as well as based on teaching experience and primary modality of teaching.

The findings confirmed the previous study's results (Martin et al., 2019) and provided some modifications to the instrument. The factor structure did not conform to the original four factors proposed in the instrument; instead, the newly loaded factors were course design and facilitation, course technologies, course expectations and resources and time management. The revised instrument can be presented and discussed at online teaching professional development programs to help faculty understand the core competencies they need to better instruct students.

This study proposes that the relationship between the employee's moral identity and unethical behavior might sometimes differ from linearly negative, given certain contextual variations, such as unethical pro-organizational behavior (UPB). The pro-organizational motivation of UPB may appeal to individuals' morality to perform unethical behavior for their organization. Herein, using the social identity perspective, the present study hypothesizes a curvilinear relationship between moral identity and UPB with the moderation of organizational identification.

Data collected in two field studies, from 316 and 185 executives in Study 1 and 2, was analyzed using hierarchical regression analysis.

The results affirmed an inverted U-shaped relationship between moral identity and UPB. Further, organizational identification moderated the relationship such that an increase in organizational identification augmented the UPB tendency for low moral identity individuals while inhibiting the UPB tendency for high moral identity individuals.

The current study uniquely demonstrates how moral identity might promote unethical behavior in pro-organizational contexts. Further, this research shows how high moral identity might mitigate the negative outcomes of high organizational identification.