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International trade is a long-standing issue for the development of any country. In the traditional theory of trade exports or trade pattern arises because of supply side differences between countries such as technological or factor endowment differences. Such theories predict inter-industry trade but not intra-industry trade (IIT). But in contrary, the simultaneous export and import of products of the same sector was led after the industrialization of developed countries from the 1960s onwards, which was described as “IIT” by [Balassa, B. (1986). Oxford Economic Papers, 38, 220–233]. In this study, India's bilateral IIT with major Asian trading partners was analyzed and the trends in IIT level for horizontal and vertical IIT were observed separately, along with gravity model for the year 2009–2018. This study examined the geographic component in knowledge flows, which could be found at the international level and whether or not an exchange of knowledge is related to foreign trade, particularly IIT. To measure the IIT level for investigating trade patterns between India and member countries of major Asian trading partners, IIT index will be used, known as Grubel-Lloyd index.

Several cash flow forecasting models have been developed for use by the contractor at the tendering stage. The majority of these models have been based on the standard S‐curve. The accuracy of these models depends on the accuracy of the standard S‐curve used. Many researchers have attempted to develop standard S‐curves using past projects. These projects were primarily classified in terms of broad‐based categories (e.g. commercial buildings). The results of past research have demonstrated that cumulative value/cost curves vary significantly. In the present paper, a more specific type of building was selected (food retail stores). Historical data for 20 projects was collected and analysed for the feasibility of developing a more accurate standard S‐curve. The results demonstrate that an accurate standard S‐curve was not achieved even when projects were further classified into more detailed groups (i.e. different sizes of superstores).

This study delves into the determinants and praxis of derivative hedging instruments (DHIs) usage of Malta, a small island state. Empirical evidence is also provided in relation to the impact of DHI usage and the adoption of a hedge accounting (HA) model in entities’ financial statements. A mixed methodology design is deployed involving: (1) a series of statistical models and tests and (2) seven semi-structured interviews with senior professionals.

The data collected comprise proxy variable values collected from the financial statements of 568 firm-years from 107 Maltese entities between the years 2009 and 2014. Greater likelihood of financial distress, decreasing investment efficiency and increased levels of gearing, are identified as being significant determinants for the use of DHIs. Although DHI usage is low in comparison to larger states, it has been increasing over the period under study.

HA is evidenced to be less popular in Malta, but the study evidences correlation between certain DHIs and HA usage. The quantitative statistical model results in evidence with no significant earnings volatility (EV) or cash flow volatility (CFV) reduction effects through the application of HA. Albeit, the study finds a significant CFV reduction effect emanating from DHI usage, but no corresponding EV reduction effect.

Better education and dissemination of the HA treatment by auditors and regulatory bodies could help propagate the HA treatment, potentially enhancing the EV reduction effectiveness of DHI use. This research provides empirical evidence to substantiate the rationale behind utilising DHIs in smaller island states, especially when coupled with a sound risk management culture.

The study of the upper tail of the income and wealth distributions is important to the understanding of economic inequality. By means of the ‘isograph’, a new tool to describe income or wealth distributions, the authors compare wealth and income and wealth-to-income ratios in 16 European countries and the United States using data for years 2013/2014 from the Eurozone Household Finance and Consumption Survey and the US Survey on Consumer Finance. Focussing on the top half of the distribution, the authors find that for households in the top income quintile, wealth-to-income ratios generally increase rapidly with income; the association between high wealth and high incomes is highest among the highest percentiles. There is generally a positive relationship between median wealth in the country and the wealth of the top 1%. However, the United States is an outlier where the median wealth is relatively low but the wealth of the top 1% is extremely high.

Introduction The civilian unemployment rate for the United States in 1950 was 4.25 per cent and had risen to 6.65 per cent by 1980. Although this number provides an average unemployment rate for the civilian labour force, it conceals the fact that there are large differences in unemployment rates for various demographic subgroups within the labour force. For example, in 1950 the unemployment rate for whites was 3.07 per cent whereas the rate for blacks was 6.24 per cent. Similarly, by 1980 the unemployment rate for blacks was 9.82 per cent, compared with only 4.74 per cent for whites.

This chapter reviews models of decision-making and choice under conditions of certainty. It allows readers to position the contribution of the other chapters in this book in the historical development of the topic area.

Bounded rationality is defined in terms of a strategy to simplify the decision-making process. Based on this definition, different models are reviewed. These models have assumed that individuals simplify the decision-making process by considering a subset of attributes, and/or a subset of choice alternatives and/or by disregarding small differences between attribute differences.

A body of empirical evidence has accumulated showing that under some circumstances the principle of bounded rationality better explains observed choices than the principle of utility maximization. Differences in predictive performance with utility-maximizing models are however small.

The chapter provides a detailed account of the different models, based on the principle of bounded rationality, that have been suggested over the years in travel behaviour analysis. The potential relevance of these models is articulated, model specifications are discussed and a selection of empirical evidence is presented. Aspects of an agenda of future research are identified.

Significant risk factors inherent in construction cost flow forecast were identified in this study. The aim of this paper is to develop regression models to assess the impacts of the identified risks on the baseline forecast at the in‐progress stage of construction.

Two stages were involved in data collection. The first was a structured questionnaire survey administered on 370 UK contractors to identify significant risk factors inherent in cost flow forecast. The second stage was the collection of forecast and actual cost flow data from 55 case study projects. Variations between these pair of data sets were measured at 30 per cent, 50 per cent, 70 per cent and 100 per cent completion periods. Respondents were then requested to score on a Likert type scale, the extent of occurrence of the significant risk factors in the case study projects. This pair of data sets were used in regression modelling.

Significant risk factors were identified from the questionnaire survey analysis as: changes to initial design, variation to works, production target slippage, delay in agreeing variation/dayworks and delay in settling claims among others. Using the identified significant risk factors and the periodic variability measurements, multiple linear regression models were developed. The models were promising in that they helped to establish the fact that the phenomenon under consideration could be modelled. They also provided some insights in explaining the observed variability between the baseline cost flow forecast and actual cost flow based on risk impacts.

The developed models showed a promising level of accuracy but also indicated that the phenomenon under consideration is not strictly linear and may need to explore some other form of modelling.

The developed models provide invaluable information to the construction contractors regarding the likely impacts of significant risk variables on cost flow baseline forecast at different stages of construction so that a pro active risk response can be put in place.

This study makes an original contribution of providing a modelling insight into the phenomenon of how risks inherent in construction could impact the baseline cost flow forecast at different stages of construction. The information is invaluable in making pro active risk response.

To explain and empirically test how different marketing communication channels interact with each other and contribute to brands’ diverging marketplace performance.

With a unique data set combining key variables of major passenger car brands, the paper takes a source-based perspective to investigate how firm-based communications, expert opinions and online consumer reviews interact and affect brands’ marketplace performance. Then the paper studies the three special boundary conditions under which online consumer reviews’ influence varies in competition with the other two established information sources. Lastly, a study was done to demonstrate the financial significance of investing in different information sources.

The results show that online consumer reviews mitigate the effectiveness of the other two information sources in driving brand sales. This mitigation effect is also magnified when the brand is weak, firm-based communications are modest and expert opinions are less favorable. The findings further suggest that in the emerging communication enterprise, firm-based and expert-based communications remain the core while user-based communication plays an indispensable competing and complementary role.

In the new digital era, firms are facing the daunting task of understanding and integrating multiple communication channels. The study provides important implications for both researchers and practitioners with respect to brand management and integrated communications.

Existing studies have demonstrated that each of the three communication efforts (by firms, experts and consumers) exerts a significant influence on product sales, but few studies have been conducted in settings marked by the coexistence of these efforts. In addition, the three communication efforts are likely to have different effects on brands with different market positions. The current study is contributing to the literature by filling the above gaps.

There is general agreement among researchers and practitioners that satisfaction is relative to competitive alternatives. Nonetheless, researchers and managers have not treated satisfaction as a relative construct. The result has been weak relationships between satisfaction and share of wallet in the literature, and challenges by managers as to whether satisfaction is a useful predictor of customer behavior and business outcomes. The purpose of this paper is to explore the best approach for linking satisfaction to share of wallet.

Using data from 79,543 consumers who provided 258,743 observations regarding the brands that they use (over 650 brands) covering 20 industries from 15 countries, various models such as the Wallet Allocation Rule (WAR), Zipf-AE, and Zipf-PM, truncated geometric model, generalization of the WAR and hierarchical regression models are compared to each other.

The results indicate that the relationship between satisfaction and share of wallet is primarily driven by the relative fulfillment customers perceive from the various brands that they use (as gauged by their relative ranked satisfaction level), and not the absolute level of satisfaction.

The findings provide practical insight into several easy-to-use approaches that researchers and managers can apply to improve the strength of the relationship between satisfaction and share of wallet.

This research provides support to the small number of studies that point to the superiority of using relative metrics, and encourages the adoption of relative satisfaction metrics by the academic community.