Risk Management Strategies in Transportation Capacity Decisions: An Analytical Approach

In recent years, access to freight transportation capacity has become a constant issue in the minds of logistics managers due to capacity shortages. In a buyer–seller relationship, reliable, timely, and cost‐effective access to transportation is critical to the success of such partnerships. Given this, guaranteed capacity contracts with third‐party logistics providers (3PLs) may be appealing to shippers to increase their access to capacity and respond effectively to customer requirements. With this new opportunity, 3PLs must focus on approaches that can assist them in analyzing their options as they promise guaranteed capacity to shippers when faced with uncertain demand and related risks in transportation. In this paper, we analytically analyze three capacity‐based risk mitigation strategies and the mixed use of these individual strategies using industry‐based data to provide insights on which strategy is preferable to the 3PL and under what conditions. We posit that the selection of a strategy is contingent on several conditions faced by both the shipper and the carrier. Although our approach is analytical in nature, it has a high degree of practical utility in that a 3PL can utilize our decision models to effectively analyze and visualize the trade‐offs between the different strategies by considering appropriate cost and demand data.     

Comparing Alternative Service Quality Scales: An Investigation Using Confirmatory Factor Analysis in a Health Care Setting

Despite the availability of several domain-specific instruments and its obvious drawbacks, it is interesting that the SERVQUAL scale is still used in health care settings. For this reason, the main aim of this study was to compare two different service quality scales in a health care setting. We compared the fit of the SERVQUAL model with a domain-specific model through confirmatory factor analysis using AMOS. The results showed that the domain-specific scale was superior to SERVQUAL within the context of a health care environment. We believe that using/modifying a generalized scale is not a good approach when we have domain-specific alternatives available.     

Government consumption,government debt and economic growth

This paper compares the effects of government consumption and government debt on economic growth using data from 83 countries, including both developed and developing markets, over the period from 1960 to 2014. Linear regressions reveal that the negative effects of government consumption are relatively higher than the negative effects of government debt. A nonlinear investigation further suggests that the restrictions on government expenditure to prevent negative growth are more important for countries with lower trade openness, lower inflation, or greater financial depth, whereas the restrictions on government debt are shown to be more important for countries with higher trade openness, lower inflation or greater financial depth.     

The regional trade dynamics of Turkey: a panel data gravity model

This paper analyzes the Turkish export and import flows with regard to regional clusters (RCs) and bilateral trade costs (BTCs) by using a panel data gravity model. We study the role of RCs and BTCs in two complementary parts: in the first part, we use an unbalanced panel data for 180 countries over the period 1960–2012, compiled from the DOTS database. We extend these estimations by running the data at four different time intervals, each representing different economic or political regimes in Turkey. In the second part, we repeat the same exercise at sectoral level for 176 countries over the period 1994–2010, using the BACI database. Aggregate estimates show that the gravity model is very effective in explaining the export and import flows of Turkey and that all close-by regions, including EU27, have a significant impact on trade flows of Turkey. We also find that the EU Customs Union has a negative effect on Turkish exports and a positive effect on imports. Estimates at selected time intervals reinforce aggregate estimates and sectoral level analyses indicate that while some regions contribute positively in all or the majority of sectors, others contribute negatively or produce mixed results.     

A phenomenological approach of blogger’s view on cultural distance

This paper is intended to determine the influence of cultural distance on the international destination choices by tourists. We adopted a phenomenological approach and data were obtained from 17 bloggers with structured interview form and evaluated by content analysis. We evaluated the research data as three processes, as pre-travel, during travel and post-travel. We identified a tangible and an intangible preparation stage in the pre-travel process. We observed that an increase in cultural distance caused an increase in the destination obscurity and thus in the mental preparation. We found cultural experience, cultural acquisition and personal change themes during traveling. In the meantime, the increase in the geographic distance influences the cultural distance perception. We determined that destinations that are geographically remote (especially the Asian countries) are also culturally remote and interesting. We proposed a model that cultural distance is a moderator variable between travel motivation and destination choice.     

The day of the week effect on stock market volatility

This study tests the presence of the day of the week effect on stock market volatility by using the S&P 500 market index during the period of January 1973 and October 1997. The findings shown that the day of the week effect is present in both volatility and return equations. While the highest and lowest returns are observed on Wednesday and Monday, the highest and the lowest volatility are observed on Friday and Wednesday, respectively. Further investigation of sub-periods reinforces our findings that the volatility pattern across the days of the week is statistically different.(JEL G10, G12, C22)     

Manifest anxiety,general self-efficacy and locus of control as determinants of personal and general risk perception

The hypothesis that risk perception is associated with differences in personality was proposed. Three personality variables were used, Rotter's Internal vs External Locus of Control Scale, Schwarzer's General Self-efficacy Scale and Taylor's Manifest Anxiety Scale. A scale asking for personal and general risk perception measured perceived risk. It was proposed that individuals low in anxiety, having an internal locus of control and high in self-efficacy should perceive general risks and personal risks higher than individuals high in anxiety and low in self-efficacy and having external locus of control should do. Fifty-nine business students responded to these three scales. The hypothesis was supported by the results and suggested that the personality measures and particularly anxiety were significantly associated to both personal and general risk perceptions.     

The Economics of Software Development by Pair Programmers

Evidence suggests that pair programmers–two programmers working collaboratively on the same design, algorithm, code, or test–perform substantially better than the two would working alone. Improved quality, teamwork, communication, knowledge management, and morale have been among the reported benefits of pair programming. This paper presents a comparative economic evaluation that strengthens the case for pair programming. The evaluation builds on the quantitative results of an empirical study conducted at the University of Utah. The evaluation is performed by interpreting these findings in the context of two different, idealized models of value realization. In the first model, consistent with the traditional waterfall process of software development, code produced by a development team is deployed in a single increment; its value is not realized until the full project completion. In the second model, consistent with agile software development processes such as Extreme Programming, code is produced and delivered in small increments; thus its value is realized in an equally incremental fashion. Under both models, our analysis demonstrates a distinct economic advantage of pair programmers over solo programmers. Based on these preliminary results, we recommend that organizations engaged in software development consider adopting pair programming as a practice that could improve their bottom line. To be able to perform quantitative analyses, several simplifying assumptions had to be made regarding alternative models of software development, the costs and benefits associated with these models, and how these costs and benefits are recognized. The implications of these assumptions are addressed in the paper.     

Institutional impact and quote behavior implications of the options penny pilot project

In this study, we expand the analysis of the impact of the options penny pilot project (PPP) using a sample that covers the first three phases of the project, a control group of options that were not part of the project, and options market specific control variables. We show that proportional national best bid offer spreads decrease significantly for the pilot securities, with the control sample demonstrating a general increase in relative spreads. Regression analysis indicates that a decrease in relative spreads can be explained by the switch to penny quoting. We find that the average quote size significantly declines and most pilot securities experience significant increases in quote traffic during the pilot period. For equity options in the pilot group we do not find a pattern of change in the average trading volume that can be attributed to the PPP. The average trading volume shows a general increase for the ETF options in the pilot group during the pilot period. Based on the findings derived from a sample of opening and closing “large” trades, we do not find conclusive evidence that trading in penny increments has a negative impact on the volume of institutional trading activity on the options exchanges during the first few months of Phase I. Our results for relative spreads, average quote size, quote traffic and trading volume are robust to Phases I–III of the PPP.