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It is suggested that, to be successful, innovation teams should be small and consist of people with key expertise who want to participate and develop new solutions within their organisations. When it comes to conducting innovation work, I suggest shared leadership may be a factor influencing success. In this chapter, a theoretical framework is presented on the shared leadership of innovation teams. The key to establishing shared leadership in innovation teams is to plan for it as the team is created, not after the team has already been formed, as this may result in various problems in the intended innovation project. The proposed framework details key aspects to consider; some of which are related to external factors such as management and resources, and some to internal factors such as the team’s size, competencies, and their ability to develop norms and ways of working together. The proposed framework is applicable for managers, innovation leaders, and team members, and contributes to previous research on shared leadership and innovation leadership. Further research on the proposed framework is suggested.

The workforce management model conceptualised for the effective management of the construction workforce was subjected to expert scrutiny to determine the suitability and applicability of the identified practices and their attributed variables to the construction industry. In achieving this, a Delphi approach was adopted using experts from construction organisations in South Africa. These experts comprised workforce management personnel and construction professionals in senior management positions. The data were analysed using appropriate statistical tools such as interquartile deviation, Kendell’s coefficient of concordance, and chi square to determine consensus among these experts. After a two-round Delphi, the seven constructs proposed in the conceptualised workforce management model were adjudged to be important and worthy of adoption by construction organisations seeking to improve workforce management in the current fourth industrial revolution era.

This book aimed to conceptualise a construction workforce management model suitable for effectively managing workers in construction organisations. To this end, this chapter presents the conceptualised model, which consists of seven workforce management practices with their respective measurement variables. Drawing from existing theories, models, and practices, the chapter concludes that a construction organisation that will attain its strategic objectives in the current fourth industrial revolution era must be willing to promote effective recruitment and selection, compensation and benefits, performance management and appraisal, employee involvement and empowerment, training and development, as well as improving workers emotional intelligence and handling external environment pressure. These practices can promote proactiveness, participation, and improved skills and can lead to effective commitment, better quality, and flexibility within the organisation.

This chapter aims to consider workplace spirituality from a cross-cultural perspective. The terms workplace spirituality and culture are so intangible, and both start with the attitude and behavior of humans but are meaningful in a community. Because of the constraint of understanding these abstract settings, it is necessary to define and specify the dimensions of both concepts to achieve the aim of this chapter. In this regard, the section starts with the conceptuality of workplace spirituality and the dimensions of the term, which cumulate at individual, group, and organizational levels. It goes with the part of cultural dimensions in the light of Hofstede's (2001) direction, Chhokar, Brodbeck, and House's (2007) extension, and Sharma's (2010) derivation of cultural dimensions for national, organizational, and individual levels, respectively. After joining the dots, the chapter focuses on one of the most sacred research areas for academic literature, cross-cultural differences, and workplace spirituality. The last part of the chapter is the conclusion to point to final notes about the concepts and help guide future studies.

The COVID-19 pandemic created a broad array of challenges for hospitals. These challenges included restrictions on admissions and procedures, patient surges, rising costs of labor and supplies, and a disparate impact on already disadvantaged populations. Many of these intersecting challenges put pressure on hospitals' finances. There was concern that financial pressure would be particularly acute for hospitals serving vulnerable populations, including safety-net (SN) hospitals and critical access hospitals (CAHs). Using data from hospitals in Washington State, we examined changes in operating margins for SN hospitals, CAHs, and other acute care hospitals in 2020 and 2021. We found that the operating margins for all three categories of hospitals fell from 2019 to 2020, with SNs and CAHs sustaining the largest declines. During 2021, operating margins improved for all three hospital categories but SN operating margins still remained negative. Both changes in revenue and changes in expenses contributed to observed changes in operating margins. Our study is one of the first to describe how the financial effects of COVID-19 differed for SNs, CAHs, and other acute care hospitals over the first two years of the pandemic. Our results highlight the continuing financial vulnerability of SNs and demonstrate how the factors that contribute to profitability can shift over time.

Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).

We examine how authorities' use of fair decision-making procedures and power benevolently shape workers' impressions of them as competent and warm, which serve as a mechanism whereby authorities' behaviors shape workers' emotional responses. We investigate how the role of these impressions differs depending on authority gender and consider whether emotional responses differ for male and female subordinates.

We conducted a between-subjects experimental vignette study in which we manipulate an authority's behaviors and gender. We use multigroup mediation analysis to test our predictions.

Authorities who employ procedural justice and benevolent power elicit reports of heightened positive emotion experiences and intended displays and reports of reduced negative emotion experiences and intended displays. These behaviors also enhance views of authorities as competent and warm. The mediating role of impressions differs by authority gender. Authority behaviors prompt reports of positive emotions through conveying impressions that align with authorities' gender stereotypes (competence for men, warmth for women). In contrast, warmth impressions mediate effects of behaviors on reported negative emotions when authorities are men, whereas when authorities are women, benevolent power use directly reduces reported negative experience, and procedural justice reduces negative display. Female respondents are more likely to report positive emotion experience and display toward male authorities and negative display toward female authorities.

By examining competence and warmth impressions as mechanisms, we gain insight into how the process by which authority behaviors affect worker emotions is gendered and shed light on micro-level dynamics contributing to gender inequality at work.

This chapter analyzes how the internal environment determines corporate dividend decisions. First, dividend policy is influenced by strategic and financial issues. Corporate strategies are developed by top managers to achieve firms' missions, visions, and long-term goals while business strategies are designed by middle managers to maintain firms' competitive advantages. These strategies affect corporate dividend decisions through corporate performance and business operations. In addition, many financial characteristics are important determinants of dividend policy. Financial characteristics are classified into three groups, namely performance-related issues (e.g., firm profitability, free cash flow, and stock liquidity), leverage-related issues (e.g., debt ratio, asset tangibility, business risk, and firm size), and investment-related issues (e.g., investment opportunities and firm maturity). Firms with high profitability, free cash flow tends to pay more dividends. Stock liquidity may have a positive effect on dividend payments through lowering costs of equity; however, it may also have a negative effect through weakening the signaling motive. Moreover, firms with high debt ratio, low asset tangibility, high business risk, and small size face higher costs of external financing. Therefore, they have low incentives to pay dividends. When firms have more investment opportunities, they are more likely to restrict dividends and save cash for their investment projects and vice versa. Second, internal stakeholders may influence corporate dividend policy since their benefits are closely related to dividend decisions. Shareholders, directors, the chief executive officer, and employees have different characteristics, positions, and hold various proportions of shares. Therefore, they create pressures on dividend decisions to protect their wealth.

This study developed a new analytical model to quantify the influence of business intelligence (BI) adoption on bank performance. An in-depth review of academic literature revealed a significant research gap exists in investigating BI's performance impacts, especially in the under-studied Indian banking context. Additionally, customer relationship management (CRM) was incorporated as a moderating variable given banks' large customer databases.

A survey was administered to 413 employees across leading Indian banks to collect empirical data for evaluating the conceptual model. Relationships between variables were analysed using partial least squares structural equation modelling (PLS-SEM). This technique is well-suited for theory building with smaller sample sizes and non-normal data.

Statistical analysis supported the hypothesised positive effect of BI adoption on bank performance dimensions including growth, internal processes, customer satisfaction, and finances. Furthermore, while CRM did not significantly moderate this relationship, its inclusion represents an incremental contribution to the limited academic literature on BI in Indian banking.

The model provides a quantitative basis for strategies leveraging BI's performance benefits across the variables studied. Moreover, the literature review revealed an important knowledge gap and established a testable framework advancing BI theory in the Indian banking context. Significant future research potential exists through model replication, expansion, and empirical verification.

This research thoroughly reviewed existing academic literature to develop a novel testable model absent in prior studies. It provides a robust conceptual foundation and rationale for ongoing scholarly investigation of BI's deployment and organisational impacts.