Why elementary price index number formulas differ: Evidence on price dispersion

Most countries use either the Dutot or Jevons index number formula for the compilation of their consumer price index at the elementary level of aggregation. The difference between the formulas is shown to be accounted for by changes in price dispersion. In turn, some of this difference is shown to be explained by product heterogeneity. Scanner data on television sets (TVs) are used to calculate Dutot and Jevons indexes. The difference between them is successfully explained in terms of changes in price dispersion and much reduced using an hedonic, heterogeneity-controlled Dutot index.     

Supplier and customer exchange in international industrial markets: An integrative perspective

A significant body of knowledge pertaining to the management and organization of international distribution channels has evolved over the last three decades. More recent foci have been on relational forms of exchange and models that accommodate efficient exchange management within the context of supply chain systems. This review provides a framework for furthering knowledge along important dimensions that have received limited attention and offers a series of propositions for future scholarly work in the area. Key themes pursued in this study include (1) the impact of the international dimension of exchange; (2) the distinction between upstream and downstream forms of exchange; and (3) the influence of electronic commerce on the future of international exchange. We conclude this review by highlighting research challenges facing scholars.     

Evidence of Forward-Looking Loan Loss Provisioning with Credit Market Information

Our paper makes a fundamental contribution by studying loan loss provisioning over the credit cycle as three distinct phases. Looking at the three distinct phases of the financial crisis – the pre-crisis period, crisis period, and post-crisis period – is important as loan loss provisioning is driven by different factors in each, in part due to extensive shifts in (or in the application of) regulatory rule. Controlling for credit market information using data from the Senior Loan Officer Opinion Surveys (SLOOS) we extend the work of previous studies of forward-looking loan loss provisions using the delayed expected loss recognition approach. We contribute to the growing literature on forward-looking loan loss provisioning and early in the cycle loss recognition by incorporating a broader range of available credit information and explicitly controlling for structural breaks in the sample corresponding to the financial crisis.     

A causal relationship between trade efficiency and economic efficiency: Evidence from dynamic simultaneous equations models

The objective of this study is to examine the causal relationship between economic efficiency and trade efficiency using dynamic panel data in simultaneous equations models for global panel of 50 countries over the period 2000–2014. The study also implements this interrelationship for two groups of countries based on their level of development. Two models applying different factors reflecting countries’ economic and trade policies are proposed to measure the targeted efficiencies using data envelopment analysis method. Evidence from the simultaneous equations models to identify a relationship between economic efficiency and trade efficiency supports the bidirectional causality between them in all three categories of countries. It has been also found that both economic and institutional factors have a significant positive influence on trade and growth performance, with the effect of political factors being especially pronounced for developing countries that suffer from weak institutional capacity. These empirical findings are of particular interest to policy-makers as they help to build sound policies in order to maximize trade performance as well as economic efficiency.     

Mergers and innovation: evidence from a panel of US firms*

Mergers lead to larger firms and a less competitive market structure, but their effects on innovation are not clear. Mergers may improve innovation incentives by promoting economies of scope and scale, R&D activities, and increasing the ability to deal with uncertainties. However, mergers may also discourage innovation by reducing competition, increasing costs, and decreasing production and R&D efficiencies. In this study, we investigate merger impacts on innovation using a panel data consisting of four different data sets on publicly traded US manufacturing firms from 1980 to 2003. Our proxy for innovation is based on citation-weighted patent stocks. In our estimation model, we control for endogeneity using instrumental variables and factors such as market share, size, industry, and time. We find that mergers are positively and significantly correlated with firms’ innovation. Our findings also indicate that merger effect on innovation is heterogeneous across industries, increases with market share, and is greater in the long run. Our findings are robust to alternative measures of innovation.     

Do Political Connections Affect Firm Performance? Evidence from a Developing Country

We investigate how politicians serving on the boards of directors influence firm performance. The results show a negative relationship between political connections and firm performance. Specifically, politically connected firms underperform nonconnected firms directors by almost 17 percent and 15 percent based on return on assets and return on equity, respectively. By stratifying the sample duration into two periods based on the political environment, we find that this effect is more pronounced in autocratic as opposed to democratic regimes. Finally, our results also suggest that the performance of connected firms with more growth opportunities is not affected by political connections.     

Customer-based brand equity and destination visit behaviour in the tourism industry: the contingent role of social media

Quality & Quantity - This study aims to examine the role of customer-based brand equity (CBBE) in relation to the intention to select a destination as a tourist destination with the moderating...     

Impact of organizational and project factors on acceptance and usage of project management software and perceived project success

This study surveyed 497 participants to determine the factors that affect project professionals' acceptance of project management software and the perceived impact of software usage on their performance. The study finds that greater information quality and higher project complexity are the dominant factors explaining higher levels of system utilization, that greater system functionality and ease of use have a significant positive relationship with increased software usage, and that a strong positive relationship exists between higher usage of project management software and perceived project managers' improved performance. Inconsistent with prior research, more training was not found to be associated with project management software usage. The study explains more than 40% of the variation in project management software acceptance and adds project management software usage to project success factors by empirically confirming for the first time that project management software enhances project professionals' perceived performance and provides a positive impact on the results of their projects. The study provides practical implications for project professionals, their organizations, senior management, decision makers, software developers, and vendors. These findings support the call for further research that investigates the diffusion of information technologies in the project management field and their impact on project success and competitive position.     

A model for holding strategy in public transit systems with real-time information

Holding strategies are among the most commonly used operation-control strategies in public transit systems. These strategies are most effective when used to control services characterized by high frequency. In this paper, a mathematical model for a holding control strategy is developed. Particularly, this model uses real-time information of locations of buses along a specified route. The objective of the developed model is to minimize the waiting time of passengers at all stops on that route. Furthermore, the model developed in this paper is characterized by the flexibility of adopting situations where bus occupancy could be either high, or low. A heuristic is developed to circumvent the complexity of the solution for the problem described. Numerical examples and computational results are presented and discussed.