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The purpose of this paper is to build a research model that examines the impact of leadership on trust, knowledge management and organizational performance.

An instrument containing six constructs (leadership: leading organization; leadership: leading people; leadership: leading self, trust, knowledge management and organizational performance) was designed and administered to subjects from all levels of management in various organizations in nine regions of the USA. Collected data were analyzed using partial least squares path modeling to test the hypotheses.

The study’s findings revealed positive and significant linear connection among leadership (leading organization, leading people and leading self), trust, knowledge management and organizational performance.

The findings imply that effective leadership (leading organization, leading people and leading self) contributes to elevated trust among people, promotes the successful implementation of knowledge management processes, and in turn enhances organizational performance. Therefore, leadership training and development must be a top strategic priority for any organization.

This study enriches the literature by demonstrating that effective leadership stands as the bedrock of the elevated trust, the successful knowledge management processes and the enhanced organizational performance.

The primary purpose of this paper is to examine how generative Artificial Intelligence (AI) such as ChatGPT may serve as a new context for management theories and concepts.

The paper presents the analyses of selected management theories on decision-making, knowledge management, customer service, human resource management and administrative tasks and explains what may change after generative AI adoption.

The paper indicates that some management theories and concepts need to be studied in the generative AI environment that may influence managerial work at the strategic, functional and administrative levels.

This paper is an opinion piece article and does not refer to empirical data. It formulates some conclusions to further empirical research studies.

The paper analyzes selected management theories in a new technological setting. The paper also provides information about the functions of generative AI that are useful in understanding and overcoming how new technology may change organizations and management.

The purpose of this paper is to build an awareness-centered information security policy (ISP) compliance model, asserting that awareness is the key to ISP compliance and that awareness depends upon several variables that influence successful ISP compliance.

The authors built a model with seven constructs, i.e., leadership, trusting beliefs, information security issues awareness (ISIA), ISP awareness, understanding resource vulnerability, self-efficacy (SE) and intention to comply. Seven hypotheses were stated. A sample of 285 non-management employees was used from various organizations in the USA. The authors used path modeling to analyze the data.

The findings indicated that IS awareness depends on effective organizational leadership and elevated employees’ trusting beliefs. The understanding of resource vulnerability (URV) and SE are influenced by IS awareness resulting from effective leadership and elevated employees’ trusting beliefs which guide employees to comply with ISP requirements.

Practical implications were aimed at organizations embracing an awareness-centered information security compliance program to secure organizations’ assets against threats by implementing various security education and training awareness programs.

This paper asserts that awareness is central to ISP compliance. Leadership and trusting beliefs variables play significant roles in the information security awareness which in turn positively affect employees’ URV and SE variables leading employees to comply with the ISP requirements.

In the business and data analytics community, intuition has not been discussed widely in terms of its application to executive decision-making. However, the purpose of this paper is to focus on new global research that combines intuition, trust and analytics in terms of how well C-level executives trust their intuition.

Our Fulbright research, as described in this paper and performed by colleagues from the United States, Canada, Poland and Italy, examines executives’ as well as other less experienced employees’ preferences for different types of intuition versus data analysis. This study set out to better understand the degree to which executives prefer intuition versus analysis and the relationship between these approaches to decision-making. Our research combines elements of a review, a cross-cultural/cross-company survey study and a biometrics study in interoception. The research team has a multidisciplinary background in business, information technology, strategy, trust management, statistics and neuroscience.

Based on our research, the main findings are as follows. The use of and preference for intuition types change as employees gain more experience. However, there may be intuition styles that are more static and trait-like, which are linked to roles, differentiating managers from leaders. Using “inferential intuition” and “seeing the big picture” go hand in hand. Listening to your body signals can promote improved intuition. Cross-cultural differences may impact executive decision-making. Executives often prefer to use their intuition over analysis/analytics.

This research could be expanded to have a larger sample size of C-level executives. We had 172 responses with 65% C-level executives and 12% directors. However, a recent survey by the Economist Intelligence Unit on intuition used by executives had a sample of 174 executives around the world, which is comparable with our sample size.

From our research, executives should continue to apply their experiential learning through intuition to complement their use of data in making strategic decisions. We have often discounted the use of intuition in executive decision-making, but our research highlights the importance of making it a critical part of the executive decision-making process.

Based on the results of our survey and biometrics research, executives apply their intuition to gain greater confidence in their decision-making. Listening to their body signals can also improve their intuitive executive awareness. This complements their use of data and analytics when making executive decisions.

The purpose of this paper is to build a research model that examines social media privacy concerns (SMPC) in relation to users’ trusting beliefs and risk beliefs.

An instrument with eight constructs (SMPC: collection, SMPC: secondary usage, SMPC: errors, SMPC: improper access, SMPC: control, SMPC: awareness, trusting beliefs and risk beliefs) was developed and administered to subjects from a mid-sized university in the USA. Collected data were analyzed using partial least square structural equation modeling.

The results showed that three of the six SMPC (i.e. secondary usage, improper access and awareness) were negatively and significantly associated with users’ trusting beliefs. In addition, three of the six SMPC (i.e. collection, errors and improper access) were positively and significantly associated with users’ risk beliefs.

Practical implications were aimed at the social media sites to design simple and straightforward privacy policy statements that are easy to understand; to safeguard users’ online privacy behaviors; and to develop mechanisms to protect personal information.

This study enhances the literature by contributing to a generalized knowledge of SMPC of users as they relate to their trusting beliefs and risk beliefs.

Despite the major information technology investments made by public institutions, the reuse of e-government services remains an issue as citizens hesitate to use e-government websites regularly. The purpose of this study is to investigate the cross-country determinants of e-government reuse intention by proposing a theoretical model that integrates constructs from (1) the Delone and McLean IS success model (i.e. system quality, service quality, information quality, perceived value and user satisfaction); (2) the trust and risk models (i.e. citizen trust, overall risk, time risk, privacy risk and psychological risks); and (3) Hofstede's cultural model (i.e. uncertainty avoidance, masculinity, individualism and cross-cultural trust and risk).

Based on data from interviews with 81 Kuwaiti citizens and surveys of 1,829 Kuwaiti and Polish citizens, this study conducted comprehensive, cross-cultural and comparative analyses of e-government reuse intention in a cross-country setting.

The results show that trust is positively associated with citizens' intention to reuse e-government services, whereas risk is negatively associated with citizens' perceived value. This study also found that masculinity–femininity and uncertainty avoidance are positively associated with the intention to reuse e-government services and that individualism–collectivism has no significant relationship with reuse intention. This study's findings have important implications for researchers and practitioners seeking to understand and improve e-government success in cross-country settings.

This study developed a parsimonious model of quality, trust, risk, culture and technology reuse that captures country-specific cultural contexts and enables us to conduct a comprehensive, cross-cultural and comparative analysis of e-government reuse intention in the cross-country setting of Kuwait and Poland.

In this chapter, sharing economy, also called the gig economy, is discussed as part of the digital economy. This research analyzes the main difficulties of gig workers, and their needs will be analyzed as one of the crucial issues. This research also seeks to examine the government's role in prior economies and the sharing economy of today. In addition, existing legislation and procedures for gig workers will be compared across nations. Furthermore, some of the most important initiatives to engage with the sharing economy are also investigated. Methods such as “word frequency query” and “exploration diagrams,” which are supported by NVivo qualitative research software, are utilized in order to accomplish this research. In this study, the interview method occurs with an expert that is considered in order to observe both the government's stance on the sharing economy and its practical effects. The research discloses that government engagement in the sharing economy is inevitable, and the adoption of existing policies is challenging.

The question of the nature of the collar is pursued drawing on results generated in the field of social ontology as well as on observations from history. In this chapter, it can be tried to seek what the nature of collar is, this is a central question for social theory, not least economics and human resources. Tony Lawson (2019, p. 1, 2021) has recently developed a theory of social positioning “… which is the social phenomena are everywhere constituted by or within process through which social totalities are formed or emerge.” The central idea of the theory of social positioning is that social relations are ultimately power relationships, which structure how social phenomena are organized. This chapter further explores this idea by conceptualizing power drawing on the theory of social positioning. Collar is a social phenomenon and associated with certain kind of structure which is social classes in this chapter. This structure will be taken as a class relation in Marxist approach as it is known, this relation is about power. In this framework, the question of the nature of collar needs to be explained with social positioning theory.

The main purpose of the study is to examine the intellectual structure of academic studies on blue-collar workers. In this context, (1) productivity and evolution of the field, (2) conceptual dimensions, (3) citation density and (4) structure of academic networks related to blue-collar workers were analyzed. The findings of the study produced results covering all fields of science, not just management and organization. As a result of the study, blue-collar studies by years, the most cited blue-collar studies, the researchers who published the most frequently about blue-collar workers, the researchers who conducted the longest research on blue-collar workers, the most frequently used keywords and academic networks in blue-collar studies are determined. The most important finding is that the blue-collar issue is the common intersection point of different fields of science such as health, medicine, finance, management and organization, marketing, psychology and sociology.