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This paper aims to propose a new country-level construct, national customer orientation, to provide a benchmark for global headquartered managers’ decisions and scholars investigating cross-national research.

A conceptual framework and unique propositions are developed that focus on how one macro-economic driver, e.g. the wealth of a country, and one macro-marketing driver, e.g. customer price sensitivity, affect national customer orientation during and after global economic downturns such as recessions and a pandemic.

An agenda setting section proposes distinct theoretical, empirical and managerial themes for future research aimed at testing the propositions at the country and organization levels over time.

Although the new construct offers substantial benefits for scholars and managers, current measures of national customer orientation are limited to data provided by the World Economic Forum or expensive primary survey-based research that restrict the number of countries, respondents and time periods.

The new national-level customer orientation construct and propositions about its drivers over time promise to provide global managers a country-level customer-based benchmark so that they can better understand, set expectations and manage customer orientation across different countries over time.

Research on market and customer orientation is consistently designated a priority by academics and practitioners. However, most previous studies exclusively focus at the micro organizational-level, with less known on how customer orientation varies at the macro country-level and over time.

Introduction: Studies on the insurance sector/companies have, in recent years, taken their place in literature at an increasing rate. Especially after the 2008 global financial crisis, the need for people to ensure their assets has structurally changed both the transaction volume and the yield structure of insurance sector. The increase in demand for insurance has also increased the appetite of investors to make an investment on this sector. The transaction volume of the insurance sector has increased year by year coupled with the number of insurance companies traded on the stock exchanges has started to increase in the same direction.

Aim: This chapter aims to determine the return structure of the Borsa Istanbul Insurance Index (XSGRT) based on daily closing values.

Method: Markedly with similar studies in the literature review, the authors determined that the Markov Regime Switching (MRS) model is the best-suited model for the current research. It was applied for the data set of XSGRT Index from 1997 to 2020.

Results: The result shows that XSGRT has three regimes named as expansion regime, normal regime and recession regime. Subsequently, it has been determined that the index generally attends to transition from the recession regime to the expansion regime and normal regime. This outcome is statistically significant at a 5% significance level and confirmed by backtesting results. Likewise, the duration of the recession regime is longer than the normal and expansion regime.

Conclusion: Despite the fact that the XSGRT has not yet completed its development compared to other main and sectoral indices, it is one of the indices that offer attractive earnings for investors. To put it differently, the desire of insurance companies to stay longer totally in the normal and expansion period and their immediate exit from the recession period provides them with a significant competitive advantage in contrast to other indices.

Originality/Value: This research contributes to the literature by providing additional evidence for existing studies using the longer duration of data set and applying the MRS model for Insurance Index. Best of our knowledge, it is the first study that examines the return structure of XSGRT based on its daily closing values from 1997 to 2020. In essence, investors can use the result of this study and compare it with other stock indices to make the accurate investment decision to maximise their welfare and return on their equity investments. The authors suggest that not only the return but also the regime structures of the invested shares (indices) should be taken into account for investment decisions.

Our study concentrates exclusively on the domestic effective tax rate (ETR), with the purpose of finding and characterizing their financial determinants. Using data on almost 5,000 US companies between fiscal years 2003 and 2010, we use regression analysis to find that the domestic ETR is affected by company size (as measured by sales), the extent to which the company is leveraged, level of fixed assets intensity, and the state of the economy. In addition, we find that domestic ETRs are also affected by the company’s level of internationality, which counterintuitively implies that the greater the company’s international activity, the less domestic taxes it pays for every dollar of US income. Both financial managers and policy makers can use our findings to reduce tax liabilities domestically, and to improve corporate tax regulations. While several attempts are made in the literature to compare ETRs of corporations that reside in different geographic locations, this is the first to characterize ETR determinants.

With Spanish Community Innovation Survey data, this paper tests two main hypotheses as explanation of the fall in business innovation output in the Great Recession: the aggregate demand effect (firms have lower propensity to initiate innovation projects in recession than in contraction from demand-pull and profit expectations effects) and the risk effect (a greater proportion of the initiated projects fail in recessions than in expansions).

The research methodology consists on first modelling the decision by firms to initiate innovation projects in t or not (probit model), and, second, modelling the outcomes, success or failure in t + 1 of firms that decide to initiate (Heckman model).

The empirical results support the two hypotheses. They also indicate that the sensitivity of the decision to initiate innovation projects to the aggregate demand is more pronounced among financially constrained firms than among unconstrained ones, while the risk effect appears to be independent of the financial situation of firms.

The results of the research are limited by not being able to follow up individual innovation projects, and by not having available a more representative sample of firms where non-innovators and potential innovators are represented (now is biased toward potential innovators).

The results highlight the importance of macroeconomic stability for sustained business innovation output over time and calls managers’ attention in better management of innovation risk.

The results of the paper recommend macroeconomic polies aimed at the stabilization of aggregate demand and smoothing the business cycle, as a way to contribute to the stabilization of the growth of innovation output over time. Monetary and fiscal policies that smooth the business cycle will then have significant effects in the stabilization of innovation output and, in turn, in the reduction of volatility of economic growth over time. Increasing the direct public financial aid to undertake innovation projects in recession periods will not have the same innovation output stabilization effect than the stabilization of the aggregate demand. The reason is that, as the paper points out, the innovation output of financially unconstrained firms is also affected negatively by the contraction of aggregate demand in recession periods.

This paper is the first one to investigate the differences in business innovation outputs in expansions and recessions, separating the aggregate demand and the risk effect that the organisation for economic co-operation and development identifies as main determinants of the fall in innovation output during the Great Recession. The decomposition of firms’ innovation output in the decision to initiate innovation projects and the likelihood that those initiated succeed is also new in the literature.

This paper aims to investigate effects on service quality where an individual airline chooses to jointly market its services with other airlines under the umbrella of a co‐brand alliance. Concept combination theory would lead to an expectation that quality performance of individual airlines would converge when their individual brands are combined to form a co‐brand alliance. This paper seeks to review the conceptual basis for quality convergence, and test this with a study of actual convergence levels among airlines that have joined alliances, and those that have not.

The research employs a longitudinal, quantitative methodology. An index of airline service quality is constructed from a number of published sources, and this index combines technical and functional aspects of quality. The choice of components to include in the index, and their relative weighting, was informed by a panel of experts. Time series data were collected for the period 1998‐2004, and analysed using analysis of variance (ANOVA).

The study indicates that the effects of recent alliance membership on service quality for an airline are insignificant.

Other factors such as industry‐wide trends had a greater effect on airlines' level of quality than alliance membership.

Previous research into co‐brand alliances has tended to emphasise technical and financial performance metrics. This study has taken a broader perspective based on operational and customer perceived aspects of service quality. The principal finding of the paper is that variations in quality levels are accounted for more by broader industry wide phenomena, rather than the presence or otherwise of a co brand alliance. Differentiation between co‐brands may be more subtle, and based on distinctive styles of service delivery which are not typically picked up through quantitative research.

I review the burgeoning literature on applications of Markov regime switching models in empirical finance. In particular, distinct attention is devoted to the ability of Markov Switching models to fit the data, filter unknown regimes and states on the basis of the data, to allow a powerful tool to test hypotheses formulated in light of financial theories, and to their forecasting performance with reference to both point and density predictions. The review covers papers concerning a multiplicity of sub-fields in financial economics, ranging from empirical analyses of stock returns, the term structure of default-free interest rates, the dynamics of exchange rates, as well as the joint process of stock and bond returns.

Credit market models and the microstructure theory of the ratings market suggest that information provided by credit rating agencies becomes more relevant in recessions when agency costs are high and less relevant in expansions when agency costs are low. The purpose of this paper is to empirically test these hypotheses with regard to equity markets.

The authors use business cycle identification algorithms to map rating events (credit rating changes and watchlist inclusions) to business cycle phases and apply the event study methodology. The results are backed by cross-sectional regressions using a variety of control variables.

The authors find that the relevance of information provided by credit rating agencies for equity prices heavily depends on the level of agency costs. Furthermore, the authors detect a “flight-to-quality” during recessions in the speculative grade segment and a weakened relevance of rating events in expansions in the investment grade segment.

This paper is the first to empirically analyse how equity investors perceive credit rating changes and watchlist inclusions over the business cycle. In the empirical analysis, the authors use a large sample of about 25,000 rating events in all Organisation for Economic Co-operation and Development markets. The presented results underline that credit ratings address the agency problem in financial markets and can thus be regarded as useful for risk management or regulation.

This chapter sheds new light on the linkages between stock market fluctuations and business cycles in Asia. It shows that at cyclical frequencies stock markets lead business cycles by six months on average. China, Korea, and Taiwan constitute exceptions, as their real and stock market cycles are contemporaneously synchronized. The low level of maturity of these markets offers a potential explanation of this outcome. Furthermore, we find that the linkage also holds during phases of cyclical upswing and downturn, with the exception of China, where the financial market lags behind industrial production during expansions. Finally, for most of the countries (except Thailand and Malaysia), the linkage is also robust to the presence of financial crises.