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For many of the current leadership theories, models, and approaches, the answer to the question posed in the title, “Is leadership more than ‘I like my boss’?,” is “no,” as there appears to be a hierarchy of leadership concepts with Liking of the leader as the primary dimension or general factor foundation. There are then secondary dimensions or specific sub-factors of liking of Relationship Leadership and Task Leadership; and subsequently, tertiary dimensions or actual sub-sub-factors that comprise the numerous leadership views as well as their operationalizations (e.g., via surveys). There are, however, some leadership views that go beyond simply liking of the leader and liking of relationship leadership and task leadership. For these, which involve explicit levels of analysis formulations, often beyond the leader, or are multi-level in nature, the answer to the title question is “yes.” We clarify and discuss these various “no” and “yes” leadership views and implications of our work for future research and personnel and human resources management practice.

Fluctuations in the tender price index have an adverse effect on the construction sector and the economy at large. This is largely due to the positive relationship that exists between the construction industry and economic growth. The consequences of these variations include cost overruns and schedule delays, among others. An accurate forecast of the tender price index is good for controlling the uncertainty associated with its variation. In the present study, the efficacy of using an adaptive neuro-fuzzy inference system (ANFIS) for tender price forecasting is investigated. In addition, the Box–Jenkins model, which is considered a benchmark technique, was used to evaluate the performance of the ANFIS model. The results demonstrate that the ANFIS model is superior to the Box–Jenkins model in terms of the accuracy and reliability of the forecast. The ANFIS could provide an accurate and reliable forecast of the tender price index in the medium term (i.e. over a three-year period). This chapter provides evidence of the advantages of applying nonlinear modelling techniques (such as the ANFIS) to tender price index forecasting. Although the proposed ANFIS model is applied to the tender price index in this study, it can also be applied to a wider range of problems in the field of construction engineering and management.

This research constructs the critical predictors of visitation that shall allow the practitioners to foresee the visitation in the years to come through secondary data. For this study, tourist arrival data associated with the most popular forest park (i.e., Xiton Forest Park) in Taiwan along with relevant socio-economic data are utilized. This research adopts a group of analytical procedures involving correlation analysis, regression, and curve estimation analyses. The results show that the number of holiday per month and the average monthly rainfall have positive and negative correlations, respectively, with the visitation. Meanwhile, average monthly temperature and monthly gross domestic product per capita show a positive correlation in all three analytical methods and therefore are regarded as the primary predictors of tourist arrival. Consequently, this study provides managerial implications to increase the tourist arrivals to the forest park.

This chapter reviews graphical modeling techniques for estimating large covariance matrices and their inverse. The chapter provides a selective survey of different models and estimators proposed by the graphical modeling literature and offers some practical examples where these methods could be applied in the area of health economics.

While there is research that has explored how institutions have responded to various crises, these are usually locally or regionally situated. However, no event has impacted higher education globally like COVID-19 and it will certainly alter the way top administrators lead and how institutions move forward. Thus, this chapter will explore how to better understand how presidents and top administrators navigate the (inter)national geopolitics as they move the institution forward. In addition, clear and up-to-date communication has proven to be important in battling this crisis. Thus, how presidents at national universities have communicated with students, faculty, staff, and various off-campus communities members regarding COVID-19 and how they have achieved is important to explore. Our findings suggest that presidents and top administrators need to build support to help them navigate the political roadblocks they may encounter. Findings also suggest that communication is the main role they play as leaders on their campus. On/off-campus community members see the presidents as the face of the university and key communicator as relates to communicating what the institutions is doing and how they are addressing the crisis. This chapter helps in better understanding the roles presidents and top administrators play during a global crisis.

Multidimensional fit (MDF) has been coined as “elusive” and relevant to an individual’s social identity and self-concept, unfolding over time as individuals assess their fit relative to Person-Organization, Person-Vocation, Person-Job, and Person-Team Fit. In this chapter, the literature as it relates to the refugee employment journey, MDF, and HRM practices that facilitate or inhibit MDF is reviewed. Furthermore, in this study, the process-oriented view of the refuge path highlights the complexity of their experience, noting an array of antecedents as they relate to country, host country and individual differences, interventions through NGOs, refugee resettlement agencies, and organizations, as well as the less explored entrepreneurial path. These diverse paths and the process of finding fit, and the obstacles refugees face, are viewed through the lens of shocks and reassessment of MDF throughout their journey. Finally, the study’s outcomes illustrate individual wellbeing factors, organizational level benefits, as well as community level benefits to MDF.

A rich literature has documented gender-based differences in health care utilization and outcomes. The role of risk attitude in explaining the variations is limited at best. This study examines gender differences in health utilities and risk attitudes.

Data on 13 health states were collected from 629 students via questionnaires at the Ben-Gurion University of the Negev in 2005. From each respondent, we assessed utilities for a subset of health states, using Time Trade-Off and Standard Gamble. A risk attitude coefficient was calculated for each respondent as a function of their utilities for all outcomes assessed. The risk coefficient derived from a closed-form utility model for men was compared to that of women using the t-statistic.

There was a statistically significant difference in the risk attitudes of men and women. Men had a concave utility function, representing risk aversion, while women had a near linear utility function, suggesting that women are risk neutral.

Differences in risk attitude may be an important contributor to gender-based disparities in health services utilization. More research is needed to assess its full impact on decision-making in health care.

Investors have done sin stocks exclusion in the portfolio as negative screening of socially responsible investment. The impact of sin stock exclusion has brought different results for an investment portfolio; therefore, the investment manager fully decided on sin stocks investment. This research observes the relationship between sin stock proportion and fund managers’ education background. An investment manager’s educational background influences both financial performance and socially responsible behavior. Equity funds are chosen since they made up most of the Indonesian investment market. Proportion is used as a calculation of investment managers’ characteristics. The fixed effect model is applied in the panel data regression method. The study finds a significant negative relationship between sin stock proportion in asset allocation and investment managers’ education level. The research contributes to the literature on sin stocks in Indonesia concerning investment managers’ education background and among the first that observe all holdings in financial reports.

This study analyses direct effects of risk-related factors on perceived quality for private labels.

A total of 159 usable data was collected through survey, using mall intercept method in one regional retail chain in Bosnia and Herzegovina.

The results confirm that the perceived risk has a significant and negative impact on consumers’ perceptions of the quality of private labels, and that the financial risk, performance risk, and physical risk are significant determinants of overall perceived risk, thus indirectly influencing the perception of the quality of these brands.

This chapter shows that the perceived quality of private labels is significantly determined by the perceived risk to which consumers are exposed. The findings of this research can help retailers in terms of adequately defining marketing policies aimed at reducing the perceived risk that consumers are exposed to when purchasing their own brands.