Prioritizing destination attributes for optimal resource allocation: a study of Chinese tourists visiting Britain

ABSTRACT

This study assesses the importance, performance, and the interrelationships of key destination attributes for marketing managers to prioritize resource allocation. A three-dimensional analysis of importance–performance–impact-analysis (IPIA) factors, based upon a survey sample of 275 Chinese tourists to Britain and an expert panel interview with 10 destination marketing managers is presented. Data analysis was based upon a mix of multi-criteria decision-making methodologies, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytic Network Process (ANP) method. The framework can be applied to prioritize resources allocation to improve customer satisfaction in other contexts, such as a sector or a specific business.     

Bank Consolidations and Minority Neighborhoods

This paper explores the relationship between neighborhood racial composition and the level of banking services. We use unique census tract-level data on banking services and neighborhood characteristics in Alameda County, California, from points in time before and after the recent wave of bank consolidations to eliminate as well as possible the potential for omitted variables bias that could plague cross-sectional study of the issue. Using a variety of specifications and numerous sensitivity checks, we find that minority neighborhoods (particularly black neighborhoods) are less likely to have banking services, and are more likely to lose services during bank consolidations.     

Case Study: Solving a Rental Fleet Sizing Model with a Large Time–Space Network

This article addresses a rental fleet sizing problem (RFS) in the context of the truck rental industry, subject to uncertain customer travel time and nonstationary customer demand that is dependent on geographical location, time, and the economic cycle of the industry. We integrate tactical (asset purchases and sales) and operational (empty truck movement and vehicle assignment) decisions, with the explicit incorporation of an asset age factor, to achieve lower cost solutions. Typically, the length of time horizon and number of locations under consideration are quite large, which makes the RFS model computationally challenging to solve. Aggregation procedures are employed for location clustering and end-of-horizon effects are examined through demand scenario-based analyses. For the reduced time–space networks, decision analyses are conducted for the RFS model to provide insights into the truck rental business regarding asset movement decisions and asset procurement/disposal decisions over time and locations.     

The effect of rankings on honesty in budget reporting

We conduct an experiment to investigate the effect of rankings, which are pervasive in practice, on the honesty of managers’ budget reports, which is important for sound decision making in organizations. Participants in our experiment are ranked in one of four ways: (1) firm profit, (2) own compensation, (3) both firm profit and own compensation, and (4) randomly, which serves as our baseline condition. None of the rankings affect participants’ remuneration. Compared to our baseline (random rankings) setting, where participants indeed exhibit honesty concerns, we find that rankings based on firm profit significantly increase honesty and that rankings based on own compensation significantly decrease honesty. Participants who received both rankings were significantly more honest than participants in the own compensation rankings condition. We did not, however, find significant differences in honesty between the both rankings and firm profit rankings conditions. As such, participants in the both rankings condition seemed to focus more on the firm profit metric than on the financially congruent own compensation metric. We also find that our results are stable across periods, suggesting that the effects of rankings neither increased nor dissipated over time. We discuss the contributions of our study and concomitant findings to accounting research and practice.     

The week-of-the-year effect: Evidence from around the globe

This study investigates another calendar anomaly the literature does not yet address – the week-of-the-year (WOY) effect. Using the weekly returns on the stock market indexes of 20 countries worldwide, for a period that ends in December 2010, the findings demonstrate that returns in Week 44, which starts on October 29 and ends on November 4, are positive in 19 of the 20 countries, and in 18 of them, it is also statistically significant. In contrast, the returns for Week 43, which starts on October 22 and ends on October 28, are negative in 19 of the 20 countries, and statistically significant for most of the countries. We also apply an investment strategy derived from these findings to a prediction period (2009–2010), and find that this strategy beats the simple buy-and-hold policy by a substantial margin.     

Foresight education in Australia—Time for a hybrid model?

This paper revisits the original design parameters of what was a ‘new’ Masters in Strategic Foresight that commenced at Swinburne University in 2001. It explores which of the original purposes and assumptions have stood the test of time over the course of a decade and analyses how the course has evolved, partly through design and partly through necessity. The paper reflects on the primary contribution of the Masters teaching experience and proposes that encouraging the students to develop philosophical ‘literacy’ operated to develop both the practicality of their use of methods and the capacity of their leadership and critical thinking. A secondary contribution reiterates the importance of ‘place’ and the necessity of ‘sufficient time’ for adult development to occur.     

Determinants of Corporate Diversification: Evidence From the Property–Liability Insurance Industry

This article analyzes variations in line‐of‐business diversification status and extent among property–liability insurers. Our results show that the extent of diversification is not driven by risk pooling considerations; insurers operating in more volatile business lines do not diversify more. Diversification can rather be explained by the benefits of internal capital markets and barriers to business growth like market size and concentration. In our analysis, we distinguish between related and unrelated diversification. Using a measure of unrelated line‐of‐business diversification we find the first support for the diversification prediction of the managerial discretion hypothesis that mutual insurers should be less diversified than stock insurers. While mutual insurers tend to exhibit higher levels of total diversification, they engage in significantly less unrelated diversification than do stock insurers.