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Limited use of Internet of Things (IoT) technology on construction sites has restricted its value in the construction industry. To propel its widespread application, this paper explores the influencing factors and action paths of construction companies' IoT technology adoption behavior.

First, literature research, technology adoption theories, and semi-structured expert interviews were employed to build the adoption model. Second, a questionnaire survey was conducted among Chinese construction contractors to collect empirical data. Third, the structural equation model method and regression analysis were used to test the adoption model. Finally, the findings were further validated with interviews, case studies, and field observations.

External environmental pressure (EEP), perceived benefit (PB), top management support (TMS), company resource readiness (CRR), adoption intention (AI), and perceived compatibility (PCA) have a direct positive impact on adoption behavior (AB). In contrast, perceived cost (PC) and perceived complexity (PCL) exert a direct negative impact on AB. The EEP, PB, and PC are critical factors affecting AB, whereas AI is strongly affected by CRR and TMS. Besides, AI plays a part mediating role in the relationship between seven factors and AB. Company size and nature positively moderate AI's positive effect on AB.

This paper contributes to the knowledge of IoT technology adoption behavior in the construction sector by applying the technology adoption theories. Exploring the implementation barriers and drivers of IoT technology in construction sites from the perspective of organizational technology adoption behavior and introducing moderating variables to explain adoption behavior are innovations of this paper. The findings can help professionals better understand the IoT technology adoption barriers and enhance construction companies' adoption awareness, demand, and ability. This work also provides a reference for understanding the impact mechanism of the adoption behavior of other innovative technologies in construction.

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.

Robots are widely used in industrial manufacturing and service industries around the world. However, most of the previous studies on industrial robots use data at the national or industry level in the context of developed countries. This study examines the impact of imported industrial robots on firm innovation at the firm level in China.

Drawing on a large dataset of more than three million records in China, including non-publicly traded small and medium firms, the authors adopt a difference-in-differences method to investigate the impact and channels of industrial robots on firm innovation.

The authors find that the application of industrial robots increases firm innovation. Two possible channels are identified through which robots promote innovation: alleviation of financial constraints and the improvement of human capital. Further analysis shows that the effect of robots on innovation is more pronounced for firms that are highly dependent on external financing, belong to high-tech industries, import high-end robots, have insufficient supply of skilled labor and private firms (non-SOEs). The authors also find that industrial robots increase the firms' innovation quality and the marginal contribution of innovation to firms' total factor productivity.

This study provides big data evidence of the unintended positive consequences of industrial robots on firm innovation. The results are helpful to clarify the controversy of industrial robots. It also has important implications for government industrial policy making, firm innovation and human resource management.

This study aims to present a research model to investigate the potential impact of human capital, structural capital and social capital on e-banking proactiveness. In addition, it reveals the potential impact of e-banking proactiveness on competitive intelligence and competitive agility. Also, it aims to explore the impact of competitive intelligence on competitive advantage and competitive agility. Finally, the impact of competitive agility on competitive advantage will be examined.

In order to gather data, a questionnaire was prepared and administered to 211 respondents in Jordan. The research model and hypotheses were then assessed using Structural Equation Modeling – Partial Least Squares (SEM-PLS).

The study demonstrated a significant impact of human capital, structural capital and social capital on e-banking proactiveness. The findings confirm that e-banking proactiveness significantly impacts competitive intelligence and achieving competition. Moreover, the findings confirm that competitive intelligence significantly impacts competitive agility. Also, the findings revealed a substantial relationship between competitive intelligence and competitive advantage. Finally, the results discovered that competitive agility significantly impacts competitive advantage.

The research gives valuable insights into the elements that drive e-banking proactiveness, which can beautify the proactiveness literature is well-known. By uncovering the position of intellectual capital in fostering proactiveness, this examination contributes to deeper information on the way financial institutions can successfully respond to market modifications, patron needs and technological advancements. Future scholars can build upon these findings to discover proactiveness in different sectors and industries, thereby broadening the understanding of proactive behaviors throughout numerous contexts.

The purpose of this article is to develop a configurational approach based on the TOE framework (technology, organization and environment) to understand the degree of implementation of I4.0 technologies in manufacturing small- and medium-sized enterprises (SMEs). Specifically, the study considers technological infrastructure and competence, I4.0 integration capabilities, organizational agility and strategic flexibility, environmental dynamism and industry-specific forces as simultaneous pre-conditions for achieving an effective implementation of I4.0 technologies.

This study uses the fuzzy-set qualitative comparative analysis (fsQCA) methodology as it allows for asymmetric and configurational-focused testing of proposition and sound theoretical development. In total, 305 responses were collected through a survey administered to SME managers in Europe and the United Kingdom (UK).

The study examines the influence of technology, organizational and environmental aspects on I4.0 technologies implementation in SMEs. High I4.0 degree of implementation is structured around 5 configurations, while other 4 configurations are related to low levels of I4.0 implementation.

This study proposes a configurational approach for SMEs to become I4.0 ready and how they may successfully implement I4.0 technologies. Such findings represent an original and novel contribution to existing research, offering a broad view on the I4.0 implementation by manufacturing SMEs.

The present study was conducted to investigate the relationship between team-level inclusive leadership perceptions, team thriving, and team proactivity as well as the moderating effect of team power distance on these relationships.

A two-wave survey study of 365 manufacturing employees comprising 85 teams in an organization in Eastern China was used to test the hypotheses.

The findings indicate that inclusive leadership stimulates collective thriving, which then promotes team proactivity. In addition, team power distance negatively moderates the relationship between inclusive leadership and collective thriving, as well as the indirect effect of inclusive leadership on team proactivity via collective thriving.

This study is one of the first to investigate the effects of inclusive leadership at the team level, and answers recent calls to investigate the mechanisms linking leadership-related constructs to team-level proactivity. The authors also identify an important boundary condition to the effects of inclusive leadership in team power distance.

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.

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.