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This paper aims to give a brief review on behavioral economics and behavioral finance and discusses some of the previous research on agents' utility functions, applicable risk measures, diversification strategies and portfolio optimization.

The authors also cover related disciplines such as trading rules, contagion and various econometric aspects.

While scholars could first develop theoretical models in behavioral economics and behavioral finance, they subsequently may develop corresponding statistical and econometric models, this finally includes simulation studies to examine whether the estimators or statistics have good power and size. This all helps us to better understand financial and economic decision-making from a descriptive standpoint.

The research paper is original.

Over the past years, many studies have explored the role of knowledge management (KM) in companies. KM is concerned with the measurement of knowledge to manage knowledge efficiently. On the other hand, the intangible nature of knowledge makes its measurement challenging. Furthermore, there is no standardized method to measure knowledge, and it is chiefly measured based on the subjective judgment of researchers. Moreover, New Product Development (NPD) departments in many companies strive to assess their knowledge in terms of company products and knowledge workers. Hence, this study aims to propose a product-based two-phase technique that measures the company knowledge inventory.

In the first phase, the value of knowledge is quantified relative to products, knowledge workers and the entire company using two concepts of knowledge width and depth. Then, a three-dimensional knowledge asset map (knowledge, products and knowledge worker dimensions) is designed to assess and audit knowledge workers. Finally, this technique recruits an integer linear programming model with a cost minimization objective function to optimize the supply of NPD knowledge requirements in the second phase.

This model enables managers to determine what type of knowledge can be supplied by existing knowledge workers, whether within the company or by other external sources.

Among existing knowledge measurement methods, only a few use a product-based measuring technique. However, they fail to offer suitable scenarios for managers' decision-making process and consider cost structures in measurement techniques. Hence, this paper attempts to overcome these drawbacks.

The objective of this study is to examine how the heterogeneity of the institutional environments within a single country influences International Financial Reporting Standards (IFRS) convergence and earnings quality based on a meso- and multi-level approach.

Using hierarchical linear modeling (HLM) to capture the between-group heteroskedasticity and within-cluster interdependence, this study investigates the simultaneous effect by incorporating institutional factors residing at different hierarchical levels and the interaction effects of factors within the same level on IFRS convergence and earnings quality in the largest IFRS adopter, China.

The results show that after IFRS convergence (i.e. 2007–2015), earnings quality decreases in terms of conservatism. However, the further analysis indicates that the strong institutional environment could mitigate the negative impact of IFRS on conservatism.

Consistent with the emphasis of heterogeneity within a country by Terracciano et al. (Science, 2005, 310 (5745)), this study indicates that the heterogeneity in the institutional environments and the simultaneous effect of the multilevel institutional environments within a single country cannot be ignored. This study also indicates that, equally important, research methodology plays a substantial role in investigating the outcomes of IFRS convergence. Finally, this study, based on an integrated theory, adopts a meso-paradigm linking macro- and micro-level institutions to provide comprehensive insights into IFRS convergence and conservatism.

This chapter presents the survey of selected linear and mixed integer programming multi-objective portfolio optimization. The definitions of selected percentile risk measures are presented. Some contrasts and similarities of the different types of portfolio formulations are drawn out. The survey of multi-criteria methods devoted to portfolio optimization such as weighting approach, lexicographic approach, and reference point method is also presented. This survey presents the nature of the multi-objective portfolio problems focuses on a compromise between the construction of objectives, constraints, and decision variables in a portfolio and the problem complexity of the implemented mathematical models. There is always a trade-off between computational time and the size of an input data, as well as the type of mathematical programming formulation with linear and/or mixed integer variables.

This paper investigates empirically the link between entrepreneurship education programs and students’ entrepreneurial behavior, with a particular focus on the distinction between experiential and classroom-based education. We introduce a more refined measure of entrepreneurial engagement that combines entrepreneurship intention and actual steps taken to realize that intention. Using data from a survey of 836 students at the National University of Singapore (NUS), we utilize linear regression models to examine not only the direct effect of entrepreneurship education program participation on entrepreneurial engagement, but also its possible interaction effect with several psychological constructs drawn from the Theory of Planned Behavior. The results show that participation in university entrepreneurship programs, especially experiential-learning programs, has significant positive influence on students’ entrepreneurial engagement. Moreover, the effect of program participation is significantly moderated by the students’ attitudes and perceptions. The findings have important practical implications for universities in designing entrepreneurship programs on campus. The study supports the call to move toward hands-on experiential programs as a more effective way for educational institutions to influence students’ entrepreneurial behavior and encourage venture creation activity on campus. We also contribute to the literature by confirming the impact of entrepreneurship education not only on entrepreneurial intentions but also on the concrete steps taken by students toward venture creation.

This study identifies and interprets the experiences and relationships of a host community to a marine national park in Sabah, Malaysian Borneo, as it transformed from a local recreation site into an international tourist destination. This chapter elaborates on an original and innovative amalgamation of qualitative methods used to collect data consisting of verbal and pictorial techniques, including focus group interviews, visitor employed photography, and an adapted Q-methodology incorporating photo-elicitation. The research design for data collection is provided as a guideline to illustrate how the study progressed through two essential parts. This study contributes to a gap in method on how to extract pictorial measures on a collective basis to systematically to produce group place meanings. Recommendations are suggested based on the challenges faced in this study. This innovative qualitative method was successful in deriving sense of place for a marine park.

In this chapter, the authors examine the main effect of entrepreneurial orientation (EO) – a firm’s strategic entrepreneurial posture – on balancing exploration and exploitation in the form of organizational ambidexterity. Resource-constrained firms face an imperative to conduct innovative activities, survive hostile environments, and compete with larger and more resource-rich firms. The authors contend that firms can address these potential impediments through achieving ambidexterity via dynamic capabilities, firm-specific resources, and institutional factors. Specifically, The authors review the EO and ambidexterity literatures and summarize extant arguments related to the relationship between EO, exploration, and exploitation. The authors also discuss the most prominent scales and measures of EO, exploration, and exploitation. Moreover, the authors discuss operationalizational challenges that should be considered when conducting EO–ambidexterity research and suggest future research directions by specifying an agenda outlining useful theoretical perspectives and various contingencies that may influence the EO–ambidexterity relationship.

In one of his most cited works, March (1991) observed that “The basic problem confronting an organization is to engage in sufficient exploitation to ensure its current viability and, at the same time, devote enough energy to exploration to exploration to ensure its future viability” (p. 105). The need to simultaneously pursue exploration and exploitation is a cornerstone of organizational ambidexterity, with the embedded assumption that exploratory ventures require organic management systems and exploitative activities benefit from more mechanistic management systems. The authors argue that this assumption about system alignment is neither well-supported by empirical evidence nor well-grounded in March’s original ideas about exploration and exploitation. The authors review the existing empirical evidence on the management systems that support exploration and exploitation and reveal some of the empirical and conceptual challenges. The authors then share a quasi-experimental study of 49 project teams over an 18-month period where they investigated how components of the management system – formalization, specialization, hierarchy, and leadership – differentially affect project success for explore and exploit projects. The authors find that exploitation projects can succeed under either mechanistic or organic systems, but that exploratory project performance suffers under a mechanistic system. In addition, the authors also find that leadership is the most important determinant of project success or failure. The authors discuss the implications of these results for future studies of organizational ambidexterity and draw attention to some of the underdeveloped ideas in March’s original article that might further advance the field.