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A boundaryless career perspective suggests that career competencies are essential for employees who wish to advance their careers in high uncertainty. This study aims to propose an integrated conceptual model for career competencies to provide insights for employees and organizations by identifying what and how one can prepare and provide support for career development in an uncertain and complex work environment.

The integrated literature reviewed was adapted to provide a conceptual model for career competencies. All 77 studies were reviewed, guided by the intelligent career theory (ICT) and social cognitive career theory (SCCT).

The mechanisms of career competency development were examined through the interrelationship between three types of knowing; knowing-why, knowing-whom and knowing-how. Career competencies can be considered a developmental process, therefore, they could develop through various interventions and accumulate over time. Especially the results indicate that learning is an essential component of career competencies, as it increases self-efficacy and promotes a desire to achieve positive career outcomes.

This study provided a conceptual model, explored the mechanisms of career competency development and considered how career competencies influence career outcomes. Furthermore, it identified the context of the construct of career competencies by integrating the SCCT and ICT. Finally, it showed the inadequacy of existing research on negative factors of career competency outcomes and recommended further research to broaden the general context of career competency studies.

We investigated the relationship between personality and managerial assessment center (AC) dimensions, emphasizing age’s moderating role within volatility, uncertainty, complexity, ambiguity (VUCA) simulations.

We analyzed 327 managers and applied the AC method, examining areas like social skills, problem-solving, management and goal striving, openness to change, employee development using the VUCA framework.

We assessed personality metatraits through a questionnaire based on the circumplex model (CPM; Strus, Cieciuch, & Rowinski, 2014), identifying four bipolar metatraits. Results highlighted passiveness and disharmony as negatively correlated with all managerial AC dimensions, with passiveness adversely affecting social skills and problem-solving.

Age’s moderating role emerged as pivotal in the relationship between personality and managerial AC dimensions, especially in specific VUCA contexts. This underscores age’s influence on the interplay between personality and managerial efficacy, suggesting varying predictive capabilities across age groups. The research illuminates the complexities of these relationships, spotlighting age’s nuanced impact.

This study aims to examine the impact of the International Financial Reporting Standards (IFRS) mandate and differences in national institutional quality on the underpricing of Initial Public Offering (IPO) companies.

Multiple Difference-in-Differences (DiD) ordinary least squares estimations were conducted for 100 corporations listed on the Saudi Arabian stock market using country-level institutional quality data from 2005 to 2017.

IFRS requirements and improvements in institutional quality have a combined effect on minimizing IPO underpricing. The analysis of the combined impact of IFRS requirements and differences in transparency revealed that IPO vendors leave $5 on average for IPO investors to cash out post the IFRS mandate, compared to $29 previously. Thus, IFRS serves as a quality certification instrument that alleviates IPO investors’ ex ante uncertainties, even in nations with undeveloped institutions.

The findings may be beneficial to researchers and policymakers. The results suggest that institutional quality enhancements and obligatory IFRS implementation highlight IFRS’s synergistic influence on the IPO market. While European harmonization efforts drove the adoption of IFRS in Europe in 2005, Saudi Arabia’s adoption of IFRS is not being driven by such initiatives (Daske et al., 2008; Persakis and Iatridis 2017). In reality, when IFRS was officially imposed in Saudi Arabia in 2008, it, like many other emerging market nations, made considerable reforms to its formal institutions. However, research on the combined impact of IFRS and disparities in institutional quality in emerging IPO markets remains sparse. Emerging markets represent more than half of economies that use IFRS. Therefore, to the best of the authors’ knowledge, this study is the first to conduct an empirical investigation to identify this combined effect in emerging countries using the DiD analytical technique. Equity market legislators remain concerned regarding IPO underpricing, as it has a detrimental influence on economic growth (Bova and Pereira, 2012; Jamaani and Ahmed, 2021; Mehmood et al., 2021). Depending on the degree of information asymmetry in national stock markets, underpricing costs increase the cost of going public for entrepreneurs. Consequently, prospective private firms are discouraged from accessing equity financing through the stock markets. This is likely to impede private sector development plans, causing a negative effect on economic growth.

Emerging countries represent over 50% of the IFRS mandating economies. However, there is insufficient research on the combined effect of IFRS requirements and improvements in institutional quality in developing IPO markets. To the best of the authors’ knowledge, this study is the first empirical attempt to identify this combined effect in one of the largest developing countries. The results may aid academics and policymakers in better understanding the interaction between these two variables.

This study aims to explore how government ICT use influences the relationship between ICT access and public sector performance globally. Previous research has mainly focused on the impact of ICT access on private firms' performance, measured by profitability. Moreover, previous studies have mostly examined the effect of ICT access on firms' performance within a single country. This study fills a gap in the literature by investigating how government ICT use mediates the connection between ICT access and public sector performance on a global scale.

The study develops and empirically validates a conceptual model based on the Technology, Organisation-Environment framework and archival data for 131 countries, using partial least squares-structural equation modelling.

The findings from the study shows a significant relationship between ICT access and Government ICT use. Also, there was positive relationship between ICT access and Public Sector Performance. In addition, there exist a significant relationship between Government use of ICT and Public Sector Performance. Furthermore, the mediating role of government ICT use on the impact of ICT access on public sector performance was significant.

This study is unique in that it explores the relationship between ICT access, government ICT use and public sector performance on a global scale. By using archival sources, this research findings can easily be replicated and applied to a larger population. Additionally, using the TOE framework, this study demonstrates how technology (ICT access) and organisation (government ICT use) impact public sector performance globally.

Based on the approach/inhibition theory of power, this study explores the relationship between sense of power and exploitative leadership. We particularly examine the role of self-interest as a mediator and the role of ambition at work as a moderator.

The data were collected from 189 supervisors and 702 employees. We analyzed the data using path analysis to test the research model.

The results show the following: (1) sense of power positively affects exploitative leadership; (2) the effects of sense of power on exploitative leadership are mediated by self-interest; (3) the effects of self-interest on exploitative leadership are moderated by ambition at work.

The current study identifies self-interest as a key mediator that links sense of power to exploitative leadership and demonstrates that ambition at work moderates the process of self-interest to exploitative leadership.

The question of whether and how communication departments contribute to organizational value creation has rarely been addressed in research. Such evidence is crucial, however, as communications compete internally with other functions (e.g. marketing and human resources (HR)) for budgets and staff. This article fills the gap by applying the business model concept, an established approach from management theory and practice, to communication units.

Based on an interdisciplinary literature review, the authors propose the Communication Business Model (CBM) as a new management approach for communications. To this end, pertinent definitions, frameworks and typologies of business models are analyzed and combined with insights from corporate communications literature.

The CBM outlines the generic architecture of business models for communication departments. Such models describe the basic principles of how such a unit operates, what services and products it provides, how it creates value for an organization and what revenues and resources are allocated.

The approach stimulates the debate on communication units as objects of observation when researching communication management practices. Further research with appropriate empirical methods is needed to identify and study different types of business models for communications.

The CBM can be used as a management tool to analyze, explain and innovate communication management in organizations. It is a fertile approach for communication practitioners to make the work of their department visible and to position themselves internally and externally.

Transferring a well-known concept from general management to communication management enriches the value creation debate in theory and practice. It allows communication leaders to align their work with organizational goals and make it accessible to top management and other decision-makers in the organization. It also opens up new avenues for research and education.

The purpose of this study is twofold. Firstly, the authors have conducted a systematic investigation considering the historical pandemic periods (1991–2021) over 30 years to identify critical factors and business failure phenomenon during pandemics to explore “what”, “why” and “how” factors contributing to business failure during the COVID-19 pandemic and secondly identified interlinks of these factors to explain the phenomenon of business failure strategically through various quantitative models.

Firstly, the critical factors were identified through previous literature and systematically reported in accordance with the PRISMA guidelines. To remove any bias in critical factor selection, Delphi method was employed. In the second phase, m-TISM approach was adopted to understand the interrelationships of the factors to develop the hierarchy levels. Lastly, MICMAC analysis was also done to evaluate the driving and dependence powers of the critical factors. For implementation of the stated methodology, expert opinion was collected to assess the critical factors based on their knowledge and experience. A total of seven experts were involved in this study.

Two major takeaways from the results of phase one were that “external environmental changes” was at the highest level and had the highest driving power as well as the lowest dependence power, while “inappropriate marketing techniques” was at the lowest level and had the highest dependence and lowest driving powers.

The ever-developing digital technologies act as a synonym to innovation and are shaping up to be the key to future-proofing any industry. However, before one can move towards developing effective strategies to mitigate any business disruptions, there is a need to assess the causes of business failures in the first place which is a major managerial implication identified through this study.

This paper can be considered as the first few studies to conduct a systematic investigation considering the historical pandemic periods (1991–2021) over 30 years to identify critical factors and business failure phenomenon during pandemics to explore “what”, “why” and “how” factors contributing to business failure during the COVID-19 pandemic and secondly identified interlinks of these factors to explain the phenomenon of business failure strategically through various quantitative models.

We examine the relationships between clients’ level of coaching readiness and trust in their executive coach and increases to both personal learning improved work performance. Distance relationships, the setting for this study, epitomize the norms of the New World of Work (NWoW), but also provide particular challenges for building trust and recognizing similarities between client and coach.

This study investigates distance coaching relationships in matched-pairs, longitudinal investigation of formal executive coaching.

Results support the proposed moderated mediation path. Findings reveal that both coaches’ perceptions of client readiness for coaching and client trust in coach each predict both client personal skill development and performance improvement.

While important toward gaining a better understanding of the relational functioning of distance coaching relationships, inclusion of only distance relationships may truncate the generalizability of our findings.

The study’s findings have practical implications for organizations that invest in executive coaching with regard to the importance of evaluating the candidates' readiness for coaching before the assignment, trust-building throughout distance coaching relationships and perceptions of similarity on client coaching outcomes.

Distance relationships, the setting for this study, provide particular challenges for building trust and recognizing similarities between client and coach and the current investigation points to the relevance of these relational mechanisms to client outcomes. In so doing, this study explores how perceptions of deep-level similarity between a coach and client may serve as moderators of these relationships.

This paper aims to improve the delimitation of plant growth stages in the context of weather index insurance design. We propose a data-driven phase division that minimizes estimation errors in the weather-yield relationship and investigate whether it can substitute an expert-based determination of plant growth phases. We combine this procedure with various statistical and machine learning estimation methods and compare their performance.

Using the example of winter barley, we divide the complete growth cycle into four sub-phases based on phenology reports and expert instructions and evaluate all combinations of start and end points of the various growth stages by their estimation errors of the respective yield models. Some of the most commonly used statistical and machine learning methods are employed to model the weather-yield relationship with each selected method we applied.

Our results confirm that the fit of crop-yield models can be improved by disaggregation of the vegetation period. Moreover, we find that the data-driven approach leads to similar division points as the expert-based approach. Regarding the statistical model, in terms of yield model prediction accuracy, Support Vector Machine ranks first and Polynomial Regression last; however, the performance across different methods exhibits only minor differences.

This research addresses the challenge of separating plant growth stages when phenology information is unavailable. Moreover, it evaluates the performance of statistical and machine learning methods in the context of crop yield prediction. The suggested phase-division in conjunction with advanced statistical methods offers promising avenues for improving weather index insurance design.

Previous studies have identified concerns and anxiety in individuals who are without their mobile phones, which is known as nomophobia, an acronym for “no mobile phone phobia.” However, there is currently limited evidence of qualitative research that explores nomophobia. The purpose of this study is to explore personal experiences and individual meanings associated with mobile phone use and nomophobia.

To address this gap, the present study employed a Heideggerian phenomenological approach to investigate the issue. Ten college students, who have medium to high nomophobia were selected as respondents. Semi-structured interviews were conducted to collect data, which were then transcribed verbatim and analyzed using reflexive thematic analysis.

A deep understanding of the psychological dynamics, experiences, meanings, perceptions and beliefs of individuals regarding smartphone use can only be explored through a qualitative approach that presents personal statements of individuals through in-depth semi-structured interviews. This study contributes to a deep understanding of the psychological dynamic of nomophobia.

This study has limitations that must be carefully considered. First, the respondents came from a university with a sample size of 10 people, which may not fully represent the phenomenon of nomophobia among students due to differences in cultural and academic backgrounds. However, we addressed this limitation by selecting only students who scored moderate to high levels of nomophobia. Second, the researchers acknowledge that the sample used in the study may not be fully representative of the broader target population or a larger group, as previously mentioned. Therefore, generalizing the findings of this research must be done carefully, being cautious and thoughtful to avoid hasty conclusions.

In the functional context, it is recommended for individuals to be more mindful of their smartphone usage and strive to strike a balance between utilizing their device's capabilities for productive purposes and avoiding excessive dependency that may lead to distractions or information overload. This includes limiting excessive smartphone usage for entertainment purposes, restricting aimless and irrelevant Internet browsing and implementing effective time management when using smartphones. For smartphone users from the ontological context, the advice is to critically evaluate their digital presence and ensure that their online activities align with their true values and self-perception, promoting responsible and ethical smartphone use. Engaging in fasting or break sessions by completely turning off the smartphone at specific times and utilizing that time for activities such as reading books, writing and engaging in spiritual practices, or exercising is also advisable. In the anthropomorphic context, individuals are advised to reflect on the potential emotional dependence on their smartphones and consider establishing healthy boundaries to avoid excessive reliance on these devices to fulfill emotional needs. One practical recommendation is to engage in self-reflection, where individuals take some time to ponder their smartphone usage patterns and emotional attachment to the device. They should ask themselves why they feel the need to constantly check their phone and how it impacts their emotions and overall well-being.

This study contributes to a deep understanding of the psychological dynamics of nomophobia by exploring the experiences, meanings, perceptions, and beliefs of individuals regarding smartphone use.