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This study aims to ascertain the personal characteristics of a group of successful academic entrepreneurs in a South African university enterprise and the prevalent barriers and enablers to their entrepreneurial endeavour.

The authors used a Delphi process to identify and rank the characteristics, enablers, barriers and behaviours of entrepreneurial academics, with a Nominal Group Technique applied to establish challenges they encounter managing their enterprise and to propose solutions.

Perseverance, resilience and innovation are critical personal characteristics, while collaborative networks, efficient research infrastructure and established research competence are essential for success. The university’s support for entrepreneurship is a significant enabler, with unnecessary bureaucracy and poor access to project and general enterprise funding an impediment. Successful academic entrepreneurs have strong leadership, and effective management and communication skills.

The main limitation is the small study participant group drawn from a single university enterprise, which complicates generalisability. The study supported the use of Krueger’s (2009) entrepreneurial intentions model for low- and middle-income country (LMIC) academic entrepreneur investigation but proposed the inclusion of mitigators to entrepreneurial activation to recognise contextual deficiencies and challenges.

Skills-deficient LMIC universities should extensively and directly support their entrepreneurial academics to overcome their contextual deficiencies and challenging environment.

This study contributes to addressing the paucity of academic entrepreneur research in LMIC contexts by identifying LMIC-specific factors that inhibit the entrepreneur’s movement from entrepreneurial intention to entrepreneurial action.

This study aims to observe people’s decisions to commit fraud. This study is important in the current time because it provides insights into the development of fraudulent intentions within individuals.

The information used in this study is derived from semi-structured interviews, conducted with 16 high-ranking officials who are employed in Indonesian local government positions.

The study does not have strong evidence to support prior studies assuming that situational factors or social enablers have direct effects on fraud intentions. As suggested, individual factors which are related to moral reasoning (moral judgment and rationalisation) emerge as a consequence of social enablers. The significant role of that moral reasoning is to rationalise any fraud attempt as permissible conduct. As such, when an individual is capable of legitimising his/her fraud attempt into appropriate self-judgement, s/he is more likely to engage in fraudulent behaviours.

This study offers practical prescriptions in guiding the management to develop strategies to curb fraudulent behaviours. The study suggests that moral cognitive reasoning is found to be a parameter of whether fraud is an acceptable option or not. So, an understanding of observers’ moral reasoning is helpful in predicting the likelihood of fraud within an organisation or in detecting it.

This study provides a different perspective on the psychological pathway to fraud. It becomes a complement work for the fraud triangle to explain fraudulent behaviours. Specifically, it provides crucial insights into the underlying motivations that lead individuals to accept invitations to engage in fraudulent activities.

An abundance of techniques has been presented so forth for waste classification but, they deliver inefficient results with low accuracy. Their achievement on various repositories is different and also, there is insufficiency of high-scale databases for training. The purpose of the study is to provide high security.

In this research, optimization-assisted federated learning (FL) is introduced for thermoplastic waste segregation and classification. The deep learning (DL) network trained by Archimedes Henry gas solubility optimization (AHGSO) is used for the classification of plastic and resin types. The deep quantum neural networks (DQNN) is used for first-level classification and the deep max-out network (DMN) is employed for second-level classification. This developed AHGSO is obtained by blending the features of Archimedes optimization algorithm (AOA) and Henry gas solubility optimization (HGSO). The entities included in this approach are nodes and servers. Local training is carried out depending on local data and updations to the server are performed. Then, the model is aggregated at the server. Thereafter, each node downloads the global model and the update training is executed depending on the downloaded global and the local model till it achieves the satisfied condition. Finally, local update and aggregation at the server is altered based on the average method. The Data tag suite (DATS_2022) dataset is used for multilevel thermoplastic waste segregation and classification.

By using the DQNN in first-level classification the designed optimization-assisted FL has gained an accuracy of 0.930, mean average precision (MAP) of 0.933, false positive rate (FPR) of 0.213, loss function of 0.211, mean square error (MSE) of 0.328 and root mean square error (RMSE) of 0.572. In the second level classification, by using DMN the accuracy, MAP, FPR, loss function, MSE and RMSE are 0.932, 0.935, 0.093, 0.068, 0.303 and 0.551.

The multilevel thermoplastic waste segregation and classification using the proposed model is accurate and improves the effectiveness of the classification.

This study aims to conduct a systematic literature review to investigate the mental health problems during COVID-19 and the role of nutrition in minimizing mental and health-related issues during COVID-19.

A literature search was done electronically on April–May 2022 in the databases Google Scholar, PubMed and Cochrane Library, reviewing all the articles published in English. There were no limitations for the study (such as study design, region or any time frame). The quality assessment was done. The beginning database search picked out a total of 654 articles, 47 in PubMed, 575 in Google Scholar, 22 in Cochrane Library and 10 records from other sources. A total of 565 (duplicates found 89) were found after removing the duplicated articles, after reading the title and abstracts were further decreased to 88 full-text articles. These 88 studies went for full-text analysis, which excluded 56 studies and generated a final 32 articles for systemic analysis. The quality of the included study for the systematic review was assessed in two ways: one is evidence-based and another one on the JBI checklist.

People in social isolation and home quarantine suffer from severe anxiety, stress, depression, loneliness, anger and panic attack. During COVID-19, the vital role of diet and nutrients in mental health has been acknowledged and helps mitigate COVID-19 infection. Many studies showed stress and anxiety due to increased unhealthy eating and lifestyle practices.

This review will explain the interlink between diet and mental health because what we eat and think is interconnected with the gut–brain axis. The dietary elements and psychobiotic help in improving the immune system and psychological distress during the pandemic. This paper describes the role of different nutrients, psychobiotics and phytochemicals, to minimize mental and health issues during the COVID-19 pandemic. This paper also contains a balanced diet plan to withstand COVID-19.

This study aims to identify the determining factors of perceived altruism and attitude toward an inclusive sponsorship activation, as well as the impact of these variables on the attitude toward the sponsor.

Online survey data were obtained from 1,228 respondents from France, the UK and South Africa. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

The results show that the cause-brand fit has a strong positive impact on the perceived altruism toward the motivations underlying inclusive activation, while skepticism toward advertising has a very weak negative impact. In return, perceived altruism positively influences the attitude toward inclusive activation and sponsor attitude. Furthermore, this attitude toward inclusive activation is positively influenced by involvement in women’s soccer and France men’s national football team identification. The attitude toward inclusive activation also positively influences the attitude toward sponsor attitude. However, contrary to what had been advanced, identification with the France women’s national football team and the nationality of the respondents (French, British or South African) had no impact on the attitude toward inclusive activation, while the perceived importance of the cause had very weak impact on attitudes toward inclusive activation.

This study highlights the potential benefits of investing in inclusive sponsorship activations, particularly with respect to their positive impact on consumer attitude toward sponsor attitude. It also highlights the importance of establishing, in advance, a strong association between the brand image and the cause supported, so that the motivations underlying the inclusive activations are perceived as more altruistic.

Using trait activation theory (TAT), this paper aims to empirically assess that work drive (WD) personality characteristics of employees will express better towards intrapreneurial behaviour (IB) outcomes in higher levels of job autonomy (JA) at the workplace.

Using cross-sectional design, a total of 258 engineering employees from the automotive industry of Pakistan were surveyed. The partial least square structural equation modelling (PLS-SEM) statistical method was used to evaluate the hypothesised theoretical model.

Statistical results revealed a significant and positive relationship between WD and IB. WD personality was also found to be activated with its interplay with JA for personality expression towards IB.

The present study offers a deeper insight into the interplay of organisational and individual factors as determinants of IB of employees. The study's findings suggested the importance of the rightful application of organisational situational cues in person–situation interaction for positive workplace behaviours by employees. Personality assessment of employees and their interplay with situational cues, as per conceptualisation of TAT, can assist the corporations towards enhanced levels of employees' behavioural tendencies towards intrapreneurship.

The application of TAT from the present study's perspective is novel theoretically as the literature on the activation of personality traits towards IB outcomes is non-existent. Also, the assessment of situational cues in JA will open avenues for organisational behaviour researchers to seek more organisational situational moderators for their assessment of various personality–outcome relationships in diverse contexts to activate personality traits.

Following the trait activation theory, this study aims to shed light on the influence of tourists’ personality traits on their value co-destruction (VCD) behavior in “revenge tourism”, considering the moderating effect of perceived risk as the environment factor.

A pilot study (n = 204) was first conducted to check the reliability of the measurement scale and remove inappropriate items. Thereafter, a convenience sampling method was used for data collection in the main survey among people (n = 330) who have at least one traveling experience after COVID-19 tourism restrictions have been terminated. Confirmatory factor analysis and structural equation modeling (SEM) were performed for data analysis to testify the theoretical framework proposed.

Results of SEM analysis show that both resilience and altruism of tourists reduced their VCD behavior. What’s more, perceived risk has been found to moderate the relationship between altruism and VCD behavior. As perceived risk increased, the negative impact of altruism on VCD behavior would be weaken.

VCD have been recently emphasized as a key block to the development of tourism industry. This study examines VCD behavior following the trait activation theory. Results of the study can provide new insights on how to mitigate VCD, which would contribute to the preparation for future tourism crisis management, such as the next pandemic.

根据特质激活理论, 本研究旨在揭示游客人格特质及环境因素对“报复性旅游”中价值共毁行为的影响。

本研究先通过预调研检验测量量表的可靠性, 并删除不适当的项目。正式调研采用便利抽样法, 研究对象为COVID-19旅游限制终止后有过至少有一次旅行经历的人群, 共收到330份有效问卷。本研究采用验证性因子分析及结构方程模型进行数据分析, 对提出的理论模型进行验证。

SEM分析结果显示, 游客的弹性和利他主义都降低了他们的价值共毁行为。此外, 感知风险调节利他主义与价值共毁行为之间的关系。随着感知风险的增加, 利他主义对价值共毁行为的负面影响会减弱。

价值共毁是旅游业发展的一个重要障碍。本研究以特质激活理论为基础, 研究游客价值共毁行为。本研究可以为如何减少价值共毁行为提供有价值的建议, 有助于为未来的旅游危机管理做好准备, 如下一次大流行病。

Siguiendo la Teoría de la Activación del Rasgo, el estudio tiene como objetivo arrojar luz sobre la influencia de los rasgos de la personalidad de los turistas en su comportamiento de codestrucción de valor en el “turismo de venganza”, considerando el efecto moderador del riesgo percibido como el factor de entorno.

En primer lugar, se realizó un estudio piloto (n = 204) para comprobar la fiabilidad de la escala de medición y eliminar los ítems inadecuados. Posteriormente, se utilizó un método de muestreo de conveniencia para la recogida de datos de la encuesta principal entre personas (n = 330) que tuvieran, al menos, una experiencia de viaje tras la finalización de las restricciones turísticas derivadas del COVID-19. Para la evaluación del marco teórico propuesto se utilizó el análisis factorial confirmatorio y los modelos de ecuaciones estructurales.

Los resultados del análisis de ecuaciones estructurales muestran que tanto la resiliencia como el altruismo de los turistas redujeron su comportamiento de codestrucción de valor. Además, se ha comprobado que el riesgo percibido modera la relación entre el altruismo y el comportamiento de codestrucción de valor. A medida que aumenta el riesgo percibido se debilita el impacto negativo del altruismo en el comportamiento de codestrucción de valor.

Recientemente se ha destacado que la codestrucción de valor es un obstáculo clave para el desarrollo de la industria turística. Este estudio examina el comportamiento de codestrucción de valor siguiendo la Teoría de la Activación del Rasgo. Los resultados del estudio pueden proporcionar nuevos conocimientos sobre cómo mitigar la codestrucción de valor, lo que contribuiría a la preparación de la gestión de futuras crisis turísticas, como la próxima pandemia.

Employees’ personalities towards occupational outcomes have significantly gained academic attention. Personality traits (PTs) of employees as the determinant of corporate entrepreneurship (CE) outcomes research domain is emerging. This paper aims to assess extraversion PT activation for CE outcome under the problem-solving conflict handling style (CHS) situational cue.

The survey was conducted in automotive manufacturing firms in Pakistan for cross-sectional data collection. Structural equation modelling was used to assess the hypothesised theoretical model from 376 employees.

Results revealed a positive and significant impact of extraversion on CE. Also, employees with high extraversion traits were found to prefer the problem-solving style in managing workplace conflicts. The extraversion trait was also found to be activated under the situational cue of the problem-solving style.

The present study draws implications on person-job fit conceptions at the workplace while hiring, promoting and appointing employees. Personality assessment at the workplace is still in infancy in developing countries. The benefits of employees’ personalities can positively impact organisational performance measures like CE.

The present study has proposed the theoretical model based on Trait Activation Theory (TAT) and contributed theoretically through empirically testing the theoretical model by investigating the employees’ CHS role in activating their PTs towards the CE outcomes. Theoretically, using TAT conceptualisations in entrepreneurship and CE is novel as previous knowledge on PTs activation towards CE outcomes is non-existent. CHS as situational cues will attract social science researchers towards studying its role in various predictor outcome links across multiple work settings.

A vast amount of research has been carried out to help us understand the main factors influencing mergers and acquisitions (M&A) performance. Although the existing body of knowledge focuses mainly on macro-level factors, there is an increasing interest from scholars and practitioners in understanding the micro-foundational factors occurring at individual and team levels. This chapter focuses on the importance of emotions – a central facet in individual reactions to workplace events – in M&A processes. To this end, the authors carried out a multi-phased search for articles on micro-foundations in M&A settings published by Business and Management (B/M) and Organizational Behavior and Psychology (O/P) journals. The authors reviewed 41 papers and used the circumplex model to identify and categorize 19 themes related to individual emotions involved in M&A processes in terms of positive/negative valence and high/low activation. The findings show that scholars mainly assume a risk mitigation perspective and focus on themes related to change resistance (negative emotions with high activation) by providing prescriptions on how negative emotions could be mitigated to avoid eroding acquisition performance. Hence, the authors suggest that (a) there should be more efforts to integrate different streams of literature, namely between the strategic and operational/behavioral areas of knowledge and (b) future research should focus on understanding how positive emotions like change proactivity (positive emotions with high activation) might be essential to enhance acquisition performance.

The purpose of this paper is to test the impact of selected characteristics of jobseekers on employers’ decisions regarding potential hires (direct and probabilistic signals). The main focus of the study is to test the impact of jobseekers’ participation in selected active labour market programmes on employers’ hiring decisions for three positions: unskilled worker, skilled worker and administrative employee. Other characteristics tested include age, gender, presence of children in the household, state of health, experience of short- and long-term unemployment and indebtedness.

This study analyses data from a representative survey of employers with five or more employees in the Czech Republic. The survey was conducted in December 2020 using stratified random sampling, combining online questionnaires and personal interviews. The study includes 1,040 employers and uses the factorial survey experiment (FSE) design.

The results of the FSE suggest that the perceived positive impact of completing one of the activation programmes depends on the position for which the candidate is being recruited. While for the unskilled job category, the completion of any of the tested schemes (training, subsidised jobs or public works) had a positive effect; for the skilled job category, only the training and subsidised jobs schemes had a positive effect; and for the administrative job category, public works programme even had a negative effect.

A somewhat limiting factor in the context of this study seems to be the definitions of the positions tested (unskilled and skilled workers and administrative staff). The decision-making of the respondents was somewhat restricted by such broadly defined categories. Typically, studies with FSE designs have a focus on a specific sector of the economy, which allows for a better definition of the positions or jobs under test. The relationship between position and the impact of individual characteristics is clearly a matter for further research.

The results of the study confirm that completion of the activation programme, as well as other candidate characteristics, constitute differentiating signals for employers that influence their hiring decisions. At the same time, there is evidence that the training programme and the subsidised jobs programme are effective in terms of increasing participants’ chances of employment.

The demand side should be included in the evaluation of activation policies. The design of the FSE provides an appropriate way to test the impact of activation measures on the decision-making of employers.