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The purpose of this paper was to examine the two-factor theory (Herzberg et al., 1959), determining whether millennials experience similar job satisfaction and dissatisfaction with Herzberg et al.’s motivation/hygiene descriptors as they relate to job enrichment.

This paper analyzed the historical relevancy of Herzberg et al.’s controversial motivation theory to 21st-century workers. Extensive research of scholarly journal articles included historical studies and recent studies from 1919 to 2024.

In the late 1950s, Herzberg, Mausner and Snyderman identified, from two simple reflective questions to participants, 14 work factors, which vary in the degree of motivational effect across two independent continuums of satisfaction and dissatisfaction. Given the seminal work by Herzberg et al. in this area of motivation and hygiene factors, as well as subsequent contributors in the field, the authors of this study explored the role of generational motivational changes as they relate to job enrichment.

The authors offer a reassessment of the Herzberg motivation theory to account for the generational differences that might influence its practice in the current historical context. The authors laid a foundation for further inquiry into how future workplace motivational choices compare with past generations, potentially increasing performance, and higher levels of personal achievement.

This paper examines the relationship between the adoption of accrual-based IPSAS and the level of perceived corruption of Latin-American countries, considering the moderating effect of the country’s institutional quality.

The study adopted a longitudinal analysis of 19 countries, between 2010 and 2020, following a quantitative approach by using multiple linear regression with panel data.

Main findings indicate that the harmonization of public sector accounting through the adoption of IPSAS generates a positive effect on the corruption level in Latin-American countries, causing a reduction in their indexes of perception of corruption. The countries’ institutional context, as hypothesized, increases such effect, making it even more significant in the cases of partial adoption.

To improve accountability and decision-making in public sector entities overall, contributing to reduce corruption, IPSAS adoption requires an institutional environment favorable to take the best of their benefits.

The adoption of IPSAS in an environment with a high institutional quality, allows a greater effect in reducing corruption in the jurisdiction.

This study contributes by providing a comprehensive view of IPSAS and its impact on perceived corruption levels, expanding the existing research to Latin America, where corruption is generally high and IPSAS may contribute to reduce it. It makes an important addition by defining and considering an index of the country’s institutional quality, providing evidence that when this is high, the context enhances the work of institutions, including IPSAS, to fight corruption.

In marketing and consumer research, the study of Indigenous ideas and rituals remains limited. The authors present an Indigenous-informed study of consumption rituals co-produced with members of the Shipibo–Konibo Indigenous group of the Peruvian Amazon. Specifically, the authors worked with the Comando Matico, a group of Shipibos from Pucallpa, Peru. This study aims to investigate how Indigenous spiritual beliefs shape health-related consumption rituals by focusing on the experience of the Shipibos and their response to COVID-19.

Drawing upon the principles of Indigenous research, the authors co-produced this study with the Comando Matico. The authors collaboratively discussed the research project’s design, analysed and interpreted data and co-authored this study with members of the Comando Matico. This study uses discourse analyses. The corpus of discourse is speech and text produced by the Comando Matico in webinars and online interviews during the COVID-19 pandemic. The full and active participation of the Comando Matico informed the discourse analysis by ensuring Indigenous knowledge, and worldviews were infused throughout the process.

The authors foreground how Indigenous spiritual beliefs act as a force that imbues the knowledge and practice of health, wellbeing and illness, and this process shapes the performance of rituals. In Indigenous contexts, multiple spirits coexist with consumers, who adhere to specific rituals to respond to and relate to these spirits. Indigenous consumption rituals involve the participation of non-human beings (called rao, ibo, yoshin and chaikoni by the Shipibos) and this aspect challenges the traditional notion of rituals and ritual elements in marketing.

The authors demonstrate how Indigenous spiritual beliefs shape consumption rituals in the context of health and draw attention to how the acknowledgement of alternative ontologies and epistemologies can help address dominant hierarchies of knowledge in marketing theory.

In this study, STEM resources reviewed in Goodreads were investigated to determine their authorship, linguistic characteristics and impact. The analysis reveals gender disparity favoring titles with male authors.

This paper applies theoretical concepts of knowledge commons to understand how individuals leverage the affordances of the Goodreads platform to share their perceptions of STEM-related books.

The analysis reveals gender disparity favoring titles with male authors. Female-authored STEM publications represent popular science nonfiction and juvenile genres. Analysis of the scholarly impact of the reviewed titles revealed that Google Scholar provides broader and more diverse coverage than Web of Science. Linguistic analysis of the reviews revealed the relatively low aesthetic disposition of reviewers with an emphasis on embodied experiences that emerged from the reading.

This study contributes to the understanding of the impact of popular STEM resources as well as the influence of the language of user-generated reviews on production, consumption and discoverability of STEM titles.

Research examines the effectiveness of different-race presenter avatar use on bias reduction in single-session online diversity training. Building on research that indicates different-race presenter use in in-person diversity training and different-race presenter avatars in online interactions are effective in reducing bias, this paper aims to test the use of simulated Inter Group Social Contact (IGSC) theory in single-session online diversity training. Undergraduate business students at nine United States institutes of higher education participated in an online training module that provided either a same-race or different-race presenter avatar to each participant. Participants then completed the Modern Racism Scale. The data were analyzed using T-tests and an analysis of covariance. Potential drawbacks to the use of different-race presenters and the diversity of the student bodies at participating institutions are considered. Results suggest that the use of different-race presenter avatars in brief online diversity training does result in less racial bias in some groups but is not effective among the groups such training is designed to affect. The results are cautionary. Organizations are advised to use multi-installment training programs when using a different-race presenter avatar to improve the effectiveness of online diversity training.

Participants were asked to answer demographic questions, to view a video with one of two avatars representing the online diversity training presenter, then to complete the Modern Racism Scale questionnaire. Results were evaluated based on school membership, representing the diversity of the school’s student body, gender and self-identified race using Independent T-tests and covariate analysis.

The effect of the use of different-race presenter was minimal and was not uniform across groups. Bias was not reduced in male or nonminority groups. Felt bias of minority respondents was reduced. There was a weak correlation between the diversity of school populations and the effect of different-race diversity presenters.

Participants were undergraduate students invited to participate by their instructors. Participants self-identified their gender and race.

The use of different-race diversity presenters in single session online diversity training is cautioned against.

Though the use of different-race diversity training presenters has been found to reduce bias in multisession online training and in in-person training, the use of different-race diversity training presenters may not be beneficial in single session online diversity training. Thus, this innovation is limited in its use. Specifically, felt bias by the object of bias was reduced, which is considered a negative response to diversity training. Single session online diversity training is more likely to be used by smaller firms which employ much of the workforce.

The effect of different-race diversity presenters had been tested in multisession online training and in in-person training, but not in single-session diversity training.

The societal, economic and personal costs of aggression are indisputable. Impulsivity and childhood trauma (CT) play a role in aggression but less is known about the potential mechanisms underlying these associations. This study aimed to investigate the influence of CTs and impulsivity on aggression in the general population.

A total of 178 participants (aged 18–86, M = 30.93, SD = 14.50) including 65 men (36.5%), 110 women (61.8%), 3 participants self-identified (1.7%)(n = 2 nonbinary, n = 1 gender fluid) of the UK adult population completed an online survey. Questionnaires measured impulsivity (Short UPPS-P), adverse childhood experiences (CT Questionnaire) and aggression (Buss and Perry Aggression Questionnaire).

Emotional neglect and abuse were the most endorsed CTs (abuse and neglect). As predicted, results showed the impulsivity facet “negative urgency” was associated with the behaviour, emotions and cognitions of aggression. Findings showed a distinct effect of both impulsivity and emotional abuse on physical aggression, which may reflect a pathway in which impulsivity influences adverse childhood experiences and future violence. Types of aggression may have potentially distinct pathways. This study discusses the reasons for these observed results and future research.

The originality/value of the paper lies in the acknowledgement of the role of negative and positive urgency in behaviours related to emotional dysregulation. It also highlighted the importance of examining different types of aggression. There was a distinct effect of both impulsivity and CTs on physical aggression and hostility. Further research in larger samples should examine pathways in which impulsivity mediates the effects of adverse childhood experiences and adulthood aggression. These collective insights can help further our understanding of the role adverse and traumatic events in childhood and impulsivity has on aggression and may be relevant to tailored support and intervention strategies for individuals expressing aggressive behaviours.

Employee emotional exhaustion is widely recognized as a hidden cost associated with high-performance work systems (HPWS). To delve deeper into the pathway from HPWS to emotional exhaustion and explore the boundary conditions capable of mitigating these hidden costs, this study, building upon the job demands-resources (JD-R) model, proposes that psychological strain serves as a mediator and theorizes that leader-member exchange (LMX) operates as a job resource serving to buffer the adverse effect of HPWS-induced psychological strain on emotional exhaustion.

This study adopts a time-lagged research design with a four-week interval to test the proposed hypotheses. Two waves of survey data were collected from 398 respondents in the Chinese state-owned banking sector.

The findings largely supported our hypotheses. Specifically, the results indicated that psychological strain mediated the relationship between HPWS and emotional exhaustion. In addition, LMX, as a job resource, moderated the indirect relationship between HPWS and emotional exhaustion. High-quality LMX reduced the likelihood of employees experiencing psychological strain caused by HPWS, thereby buffering the manifestation of emotional exhaustion.

By innovatively introducing the LMX as a job resource, this study demonstrates that the hidden costs of HPWS are not inevitable. This finding relieves organizational researchers and practitioners from the dilemma of choosing between enhancing performance and alleviating employee emotional exhaustion when implementing HPWS.

Web users rely heavily on online content make decisions without assessing the veracity of the content. The online content comprising text, image, video or audio may be tampered with to influence public opinion. Since the consumers of online information (misinformation) tend to trust the content when the image(s) supplement the text, image manipulation software is increasingly being used to forge the images. To address the crucial problem of image manipulation, this study focusses on developing a deep-learning-based image forgery detection framework.

The proposed deep-learning-based framework aims to detect images forged using copy-move and splicing techniques. The image transformation technique aids the identification of relevant features for the network to train effectively. After that, the pre-trained customized convolutional neural network is used to train on the public benchmark datasets, and the performance is evaluated on the test dataset using various parameters.

The comparative analysis of image transformation techniques and experiments conducted on benchmark datasets from a variety of socio-cultural domains establishes the effectiveness and viability of the proposed framework. These findings affirm the potential applicability of proposed framework in real-time image forgery detection.

This study bears implications for several important aspects of research on image forgery detection. First this research adds to recent discussion on feature extraction and learning for image forgery detection. While prior research on image forgery detection, hand-crafted the features, the proposed solution contributes to stream of literature that automatically learns the features and classify the images. Second, this research contributes to ongoing effort in curtailing the spread of misinformation using images. The extant literature on spread of misinformation has prominently focussed on textual data shared over social media platforms. The study addresses the call for greater emphasis on the development of robust image transformation techniques.

This study carries important practical implications for various domains such as forensic sciences, media and journalism where image data is increasingly being used to make inferences. The integration of image forgery detection tools can be helpful in determining the credibility of the article or post before it is shared over the Internet. The content shared over the Internet by the users has become an important component of news reporting. The framework proposed in this paper can be further extended and trained on more annotated real-world data so as to function as a tool for fact-checkers.

In the current scenario wherein most of the image forgery detection studies attempt to assess whether the image is real or forged in an offline mode, it is crucial to identify any trending or potential forged image as early as possible. By learning from historical data, the proposed framework can aid in early prediction of forged images to detect the newly emerging forged images even before they occur. In summary, the proposed framework has a potential to mitigate physical spreading and psychological impact of forged images on social media.

This study focusses on copy-move and splicing techniques while integrating transfer learning concepts to classify forged images with high accuracy. The synergistic use of hitherto little explored image transformation techniques and customized convolutional neural network helps design a robust image forgery detection framework. Experiments and findings establish that the proposed framework accurately classifies forged images, thus mitigating the negative socio-cultural spread of misinformation.

This study aims to enhance the current framework for decision-making regarding foreign direct investment (FDI) in developing countries, with consideration of the trend toward decentralized power.

The study uses static and dynamic panel data regression covering a period of 13 years (2010–2022) related to regencies and municipalities. The period includes the evolution of all 18 Indonesian Special Economic Zones (SEZs). This study integrates regional competitiveness factors such as local government capital expenditure, democratic, social welfare and economic fundamentals.

This paper argues that the level of government involvement should be decided according to the phase of SEZ development, the type of policy being implemented (countercyclical or procyclical), and the complexity of the FDI policy. These factors will determine the degree of interference, whether extensive or modest.

The paper analyses the application of New Keynesian and public expenditure theory to address the complex variables involved in local-level FDI decisions, which have been insufficiently studied in emerging countries.

The paper does not include a comprehensive explanation of the complex processes that lead to improvements in wages.