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Employer branding (EB) has become a powerful tool for organizations to attract employees. Recruitment communication ideally reveals the image that companies want to portray to potential employees to attract talents with the right skills and competences for the organization. This study explores the impact of EB on employer attractiveness by testing how pre-existing employee preferences interact with EB and how this interaction affects employer attractiveness.

A quasi-experiment among 289 final-year students was used to test the relationships between EB, perceived employer image, person-organization (P-O) fit and employer attractiveness, and the potential moderating variables of pre-existing preferences, in this case operationalized as locational preferences. Students are randomly assigned to four vacancies: one with and one without EB cues in two different locations: Groningen and Amsterdam. The authors used standard scales for attractiveness, perceptions of an employer and person-organization fit. The authors test the relationships using a regression analysis.

Results suggest that if respondents have previous predispositions, then their preference can be enhanced using an EB-targeted strategy. Based on these results, the authors can conclude that EB and related practices can be successful avenues for organizations in the war for talent, particularly if they reaffirm previous preferences of potential employees.

The research is original in the way it provides empirical evidence on the relationship between EB and attractiveness, particularly when previous employee preferences exist. This is of value to employers using EB as a tool to influence employer attractiveness.

This study intend to investigate a theoretical model looking at how particular tourist emotions, such as “joy,” “love,” and “positive surprise,” might predict their behavior by looking at how satisfied they are with their whole experience when visiting spas, and to examine the relationship of emotional experience, destination image, satisfaction and intention to revisit for spa tourism.

A sample of 345 individuals who traveled to Alleppey as domestic tourists participated in the research study. A non-probability (purposive) sampling method in this study. The structural model was analyzed using Structural Equation modeling (SEM), and the path coefficients were examined to test the hypotheses.

The results supported the hypotheses, indicating that specific emotions, image of the destination, and satisfaction significantly impacted tourists' intentions to revisit Alleppey as a spa tourism destination. This study demonstrated that “emotions of joy, love, and positive surprise” have a considerable influence on the image of the destination and satisfaction. The findings reveal a substantial correlation between satisfaction and behavioral intention (“Intention to revisit”). The research suggests that a higher degree of satisfaction would encourage visitors to revisit the location.

The research suggests that a higher degree of satisfaction would encourage visitors to revisit the location. This research offers vital information for developing, planning, and putting into practice tourism policies in the spa tourism sector. This article focuses on domestic travelers who travel to Alleppey, so the conclusions may not be relevant to research utilizing foreign tourists.

According to the literature study, and to the authors` knowledge, only limited number of studies that look at spa tourism from a wellness perspective. Additionally, Alleppey is used in the study as the study’s setting, providing insight into the visitor experiences of this expanding spa tourism business. This study gives understanding about how emotional experience predicts behavioral intentions.

To elaborate the nature of fact-checking in the domain of political information by examining how fact-checkers assess the validity of claims concerning the Russo-Ukrainian conflict and how they support their assessments by drawing on evidence acquired from diverse sources of information.

Descriptive quantitative and qualitative content analysis of 128 reports written by the fact-checkers of Snopes – an established fact-checking organisation – during the period of 24 February 2022 – 28 June, 2023. For the analysis, nine evaluation grounds were identified, most of them inductively from the empirical material. It was examined how the fact-checkers employed such grounds while assessing the validity of claims and how the assessments were bolstered by evidence acquired from information sources such as newspapers.

Of the 128 reports, the share of assessments indicative of the invalidity of the claims was 54.7%, while the share of positive ratings was 26.7%. The share of mixed assessments was 15.6%. In the fact-checking, two evaluation grounds, that is, the correctness of information and verifiability of an event presented in a claim formed the basis for the assessment. Depending on the topic of the claim, grounds such as temporal and spatial compatibility, as well as comparison by similarity and difference occupied a central role. Most popular sources of information offering evidence for the assessments include statements of government representatives, videos and photographs shared in social media, newspapers and television programmes.

As the study concentrated on fact-checking dealing with political information about a specific issue, the findings cannot be extended to concern the fact-checking practices in other contexts.

The study is among the first to characterise how fact-checkers employ evaluation grounds of diverse kind while assessing the validity of political information.

At the beginning of the 21st century, a new class of information workers, the “information have-less” has risen. This class of workers alleviates the influence of information and communication technologies (ICTs) revolution on poverty and unemployment. The purpose of this study is to investigate the presence of this class of workers in Egypt and assess the size and potential growth of this category of workers.

The study clarifies the conceptual framework of the new division of labor, in the information age. The Central Agency for Public Mobilization and Statistics, American Chamber of Commerce in Egypt, Ministry of Communications and Information Technology and Information and Decision Support Center websites provided secondary data for this study. These data are used to assess the size of “the information have less” in Egypt.

The division of work and class, in the 21st century, depends on the level of skills possessed to work with ICTs. So, class and labor nowadays could be divided into self-programmable labor (Innovators). Information have-less labor class, adding value to the economy by learning skills and presenting repetitive work. Generic labor class, who cannot work with ICTs, and work in jobs, that do not need computers or other ICTs. The study has shown that the “information have-less” labor class is present in Egypt since the beginning of the 21st century, in all its categories; entrepreneurism, the service sector and the manufacturing sector. There are approximately 50% of this labor class in the service sector and only 13% of the information have-less works in manufacturing sector despite the great opportunities that Egypt has to expand manufacturing to absorb more employment. The inclusion of information technology (IT), in all domains, has not decreased employment in Western countries but has reallocated information have-less employment toward the service sector, and there would probably be the same effect in Egypt.

The study highlights the need for Egyptian policymakers to encourage the manufacturing and service sectors to provide huge working opportunities. The Egyptian government has to change the educational policies, at all stages, to include digital learning skills so IT can be incorporated in a wide range of economic activities. Further research includes: conducting a survey to measure the contribution of the entrepreneurial part of the information have-less employment in Egypt. In addition, a model may be developed, by the researcher to examine the reallocation of employees in Egypt.

Studying employment, in Egypt, using the conceptual framework of the information age is rarely being done.

The study examines whether affective organizational commitment and its drivers differ between Polish female and male employees.

Our proprietary data are from ongoing surveys conducted by a major Polish HR consulting firm. The nationwide survey of nearly 3,000 Polish workers in 2020 constitutes the data set in this analysis. Regression analysis is applied to analyze the relationship between organizational commitment, gender and other variables.

The study provides support for the job model, that is, women and men have similar levels of commitment once all other factors are controlled. Although the results show that, ceteris paribus, the organizational commitment of women is statistically significantly higher than that of men, the effect size is trivial in practical terms. The study also discloses the fact that the determinants of organizational commitment of men and women are similar, thus refuting a commonly held notion about gendered job attribute preferences. Support for gender as a moderator between organizational commitment and its antecedents is not found. COVID-19-related work adjustments do not seem to have affected the commitment of Polish male and female workers to their employers.

The study adds to the scarce empirical literature on organizational commitment in Poland. To date, only a small number of such studies exist for Poland, and all of them use small homogeneous samples and limited questionnaires. The results are of value to researchers as well as HR managers seeking to improve long-term commitment to organizations.

This study aims to investigate the factors that impact the solo travel intentions of millennial women in rural and urban areas. By exploring these factors, this research also sheds light on the similarities and differences in travel behaviors and motivations of women in different geographical contexts within India.

This study aims to explore the NEET (Not in Education, Employment and Training) experiences of young people living in impoverished settings.

Methodologically, this study was informed by a qualitative analysis of visual and textual data related to a body mapping exercise with eleven young people who were participants in a four-day start-up workshop in a larger action research project.

The findings reveal that, although being NEET negatively affects young people’s self-esteem, confidence, hope for the future and general well-being, body mapping can help them discover latent assets useful for reducing their insecurities.

Researchers using this method need to be well prepared to deal with possible emotional trauma, and to this end, we provide some guidelines for the effective implementation of body mapping.

Although an increasing number of PhD holders will continue their careers outside academia, we know little about their further career prospects. To develop a better understanding of how this group constructs and justifies a successful career outside academia, we conducted semi-structured interviews with 47 PhD graduates from different disciplines (humanities, social and beta sciences) who have obtained elaborate experience working outside academia.

Drawing on a multi-career perspective, we explored the motivations of the PhD holders when making such career transitions. The findings from the interviews demonstrated how PhD holders’ main motivations were associated with their perceived organizational, community and cognitive careers. Our data analysis revealed that these motivations related to PhD holders and can be grouped along four key tensions:

• distanced from real life (academia) versus appreciating the practical impact of their research (currently);

• competition and performance orientation (academia) versus enjoying their current multidisciplinary collaboration towards a common goal (current);

• Individualism and loneliness were typically experienced in academia versus autonomy and intellectual stimulation in their current work; and

• lack of stable career perspectives in academia versus current options for competence-based development and personal growth.

distanced from real life (academia) versus appreciating the practical impact of their research (currently);

competition and performance orientation (academia) versus enjoying their current multidisciplinary collaboration towards a common goal (current);

Individualism and loneliness were typically experienced in academia versus autonomy and intellectual stimulation in their current work; and

lack of stable career perspectives in academia versus current options for competence-based development and personal growth.

Thus, while discontinuation of an academic career may easily hold a pejorative connotation, the analysis of the PhD holders’ motivations revealed important and rewarding opportunities in pursuing a career in other sectors. Overall, from our study, we can conclude that while a major gap may exist between careers in academia and ‘the corporate world’, shifting careers between these worlds is not as ‘unthinkable’ as commonly believed.

This paper reviews recent research on the expected economic effects of developing artificial intelligence (AI) through a survey of the latest publications, in particular papers and reports issued by academics, consulting companies and think tanks.

Our paper represents a point of view on AI and its impact on the global economy. It represents a descriptive analysis of the AI phenomenon.

AI represents a driver of productivity and economic growth. It can increase efficiency and significantly improve the decision-making process by analyzing large amounts of data, yet at the same time it creates equally serious risks of job market polarization, rising inequality, structural unemployment and the emergence of new undesirable industrial structures.

This paper presents itself as a building block for further research by introducing the two main factors in the production function (Cobb-Douglas): labor and capital. Indeed, Zeira (1998) and Aghion, Jones and Jones (2017) suggested that AI can stimulate growth by replacing labor, which is a limited resource, with capital, an unlimited resource, both for the production of goods, services and ideas.

Our study contributes to the previous literature and presents a descriptive analysis of the impact of AI on technological development, economic growth and employment.