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This study identified four performance measures often employed in corporate analysis and examined their relationship with the firm's expenditures in research and development over different periods. These measures reflect both the profitability of the firm and the market value of the firm's total capitalization. This inquiry is motivated by numerous attempts made in the literature to define an ideal measure of corporate financial performance. Repeated surveys and several financial studies [Mechlin and Berg (1980), Watts (1986), Dubofsky and Varadarajan (1987), and Obi (1994)] have revealed that in spite of their empirical shortcomings, the most frequently employed measures are those based on the firm's profitability, essentially, return on equity (ROE), profit margin on sales and return on total capitalization. These measures are handicapped by the fact that they reflect only the historical pattern of the accounting data generating them. In this study, we contend that a reliable measure of performance should reflect the market's perception of the riskiness and timing of the expected returns on the firm's current investments.

This paper aims to examine the behaviour, both contemporaneous and causal, of stock and bond markets across four major international countries.

The authors generate volatility and correlations using the realised volatility approach and implement a general vector autoregression approach to examine causality and spillovers.

While results confirm that same asset-cross country return correlations and spillovers increase over time, the same in not true with variance and covariance behaviour. Volatility spillovers across countries exhibit a substantial amount of time variation; however, there is no evidence of trending in any direction. Equally, cross asset – same country correlations exhibit both negative and positive values. Further, the authors report an inverse relation between same asset – cross country return correlations and cross asset – same country return correlations, i.e. the stock return correlation across countries increases at the same time the stock and bond return correlation within each country declines. Moreover, the results show that the stock and bond return correlations exhibit commonality across countries. The results also demonstrate that stock returns lead movement in bond returns, while US stock and bond returns have predictive power other country stock and bond returns. In terms of the markets analysed, Japan exhibits a distinct nature compared with those of Germany, the UK and USA.

The results presented here provide a detailed characterisation of how assets interact both with each other and cross-countries and should be of interest to portfolio managers, policy-makers and those interested in modelling cross-market behaviour. Notably, the authors reveal key differences between the behaviour of stocks and bonds and across different countries.

This study aims at capturing the perspectives of construction professionals into a classified taxonomy of the various characteristics of smart buildings and at developing an index able to define their level of smartness.

A questionnaire survey has been administrated to construction professionals in the service of designers, constructors and owners. Results have been analyzed with the Kruskal–Wallis test and they have been used to develop a smartness index.

Designers and owners are more focused on the energy issue than constructors. The energy captures the attention of practitioners with less years of experience, confirming that the awareness of the energy topic is rather recent.

The main characteristics of smart buildings have been structured in domains and subdomains. Their importance has been rated by construction professional and a smartness index for smart building has been developed to provide with a convenient tool for evaluation and benchmarking.

This paper explored the new features of emerging stock markets, in order to point out the most associated indicators of increasing stock return volatility, which may lead to instability of emerging markets. The study covers a sample of five geographical areas of emerging economies, including Mexico, Korea, South Africa, Turkey, and Malaysia. It used the backward multiple‐regression technique to examine the relationship between monthly changes of stock price indices as dependent variable and the associated predicting local as well as international variables, which represent possible causes of increasing price volatility and initiating crises in emerging stock markets. The study covered monthly data for a period of forty‐eight months from January 1997 to December 2000. The study revealed that stock trading volume and currency exchange rate respectively represent the highest positive correlation to the emerging stock price changes; thus represent the most predicting variables of increasing price volatility. International stock price index, deposit interest rate, and bond trading volume were moderate predicting variables for emerging stock price volatility. While changes in inflation rate showed the least positive correlation to stock price volatility, thus represents the least predicting variable.

In the present study, using a novel fractional logit model, the link between R&D (Research & Development) investment and shareholder value-based CEO (Chief Executive Officer) compensation has been examined within the non-financial sector in the Euro area economies using a firm-level dataset for 2002–2019.

The fractional logit model is utilized to examine the effects of corporate payment on R&D investment. The fractional logit model can be considered the empirical approach that takes into account R&D non-performer firms to avoid reducing the sample size. The fractional logit model is superior to the censored or truncated models, like Tobit, since the fractional logit model is useful to address the econometric limitations that are found in the censored and truncated models in the non-linear models.

The findings obtained in this study showed a significant and negative effect of short-term aim-based CEO payment on R&D expenditures in the Euro area economies using firm-level data. These findings are robust to different robustness checks and modeling alternatives.

To the author's knowledge, there is no study that examines the effects of short-term shareholder value maximization-based CEO compensation on R&D in the European context in the literature.

The aim of this paper is to frame the stakeholder-driven system mapping approach in the context of climate change, building on stakeholder knowledge of system boundaries, key elements and interactions within a system and to introduce a decision support tool for managing and visualising this knowledge into insightful system maps with policy implications.

This methodological framework is based on the concepts of market maps. The process of eliciting and visualising expert knowledge is facilitated by means of a reference implementation in MATLAB, which allows for designing technological innovation systems models in either a structured or a visual format.

System mapping can contribute to evaluating systems for climate change by capturing knowledge of expert groups with regard to the dynamic interrelations between climate policy strategies and other system components, which may promote or hinder the desired transition to low carbon societies.

This study explores how system mapping addresses gaps in analytical tools and complements the systems of innovation framework. Knowledge elicitation, however, must be facilitated and build upon a structured framework such as technological innovation systems.

This approach can provide policymakers with significant insight into the strengths and weaknesses of current policy frameworks based on tacit knowledge embedded in stakeholders.

The developed methodological framework aims to include societal groups in the climate policy-making process by acknowledging stakeholders’ role in developing transition pathways. The system map codifies stakeholder input in a structured and transparent manner.

This is the first study that clearly defines the system mapping approach in the frame of climate policy and introduces the first dedicated software option for researchers and decision makers to use for implementing this methodology.

Discusses three theories on the link between multinationality and investment value (internalization, imperfect world capital markets and managerial objectives) and develops hypotheses on its relationship with the informativeness of accounting earnings and levels of discretionary accruals. Tests them on 1994‐1998 data from a sample of US multinationals using regression techniques; and presents the results which suggest that the level of multinationality is positively related to the magnitude of discretionary accruals and to the informativeness of accounting earnings.

The purpose of this paper is to bridge the disciplinary divide between international finance and international business (IB) to realign academic research with business reality in which strategy and finance align to determine firms’ success or failures.

The authors discuss theoretical differences between the fields of international finance and IB strategy that caused the fields to develop in isolation with little fertilization across disciplines. The authors review scarce interdisciplinary contributions between the fields. Finally, the authors identify complementarities that suggest fruitful avenues for future research.

The authors find a persistent disconnect between finance and strategy/IB literature that can be explained by fundamentally different aims and assumptions about the markets. While finance theory seeks to explain typical effects under functioning markets, strategy and IB theories focus inherently on exceptional effects and market inefficiencies.

The fundamental theoretical differences that isolate finance and strategy/IB create avenues for interdisciplinary research that harness the complementarities of the two disciplines. These include strategic aspects of capital structure, internal capital market inefficiencies, corporate governance, capital market liability of foreignness and institutional aspects of financial management.

With this paper, the authors not only bring academic researchers in finance and strategy closer to corporate practice. The theoretical discussion also challenges the functional blind spots of practitioners and encourages more holistic decision-making.

Challenging market functioning and recognizing market inefficiencies using strategy and IB foundations connects financial economics with non-market topics such as environment, society and governance or impact investing.

The value and originality of the paper come from the qualitative, epistemological approach to study and analyse the divide between international finance and strategy/IB scholarship.

Top executive hubris is associated with positive/negative outcome. Little is known about the antecedent of hubris in top management team (TMT) and how they can be weakened to capitalize on TMT size and market complexity. This paper aims to address these issues.

This study draws on the social information processing theory. Subsequently, it proposes and tests an inverted U-shaped relationship between task-related faultlines and top executive hubris. Top management team size and complexity can weaken the relationship between them. Panel data were collected longitudinally from 2011 to 2016 on China's listed firm on growth enterprises board.

Hierarchical regression analyses indicate that medium task-related faultlines experience stronger than weak and strong faultlines. TMT size and market complexity can weaken the inverted U-shaped relationship between them.

This study provides pioneering evidence for an inverted U-shaped relationship between task-related faultlines and top executive hubris. These findings inform practice by suggesting a tipping point of team faultlines.

The purpose of this paper is to value an innovation project derived from a product diversification strategy in the agricultural auto parts sector, considering uncertainties and flexibility as sources of value for the project.

A case study project is presented and valued using real options, with the possibility of including new information modelled by Bayes’ theorem, which enables the fitting of the probabilities of the project for the purpose of valuation through the decision tree method.

The results indicate the effect of new information and provide implications for value creation, demonstrating the need for a more profound and systematic approach to the use of investment strategies considering factors endogenous and exogenous to a firm that can and should be considered in the decision-making process.

This study contributes to an understanding of the relationship of strategy and innovation through product diversification with value creation and serves as a guide for controlling the possibility of investments in diversified companies and agribusiness using the methodology discussed in this paper.

Valuing the inclusion of new information through Bayesian inference in the analysis of investments is a methodological feature that has received minimal attention in the literature. Therefore, the use of Bayesian theory for the real options model applied to agribusiness is the main innovation of this study to demonstrate new ways of modelling uncertainty in addition to stochastic processes.