Search results

The tendency for communication researchers in the area of crisis management to limit data collection and analysis by national borders consequently limits practitioner understanding of the dynamics of crisis planning and response. The Firestone/Ford tyre recall crisis of 2000‐2001 presents an opportunity to mine data on a massive, global scale in an effort to better understand and explain media and public response at that level. The author analyses media reports gleaned from around the world to suggest ways to incorporate potentially determining factors into crisis planning and response matrices. Those factors include media structure and function, as well as cultural syndromes.

This study employed a cognitive psychological approach to examining a little studied phenomenon – university image – among two groups of evaluators. The study found that different groups used different criteria when rating ten major US universities. Found to significantly predict the image of the universities among a sample of current university students were three factors: academic factors, athletic factors, and the extent of news coverage of the university. Found to significantly predict the image of the same universities among an adult, non‐student sample were four factors: a combined factor including all university attributes (including academic and athletic); the extent of news coverage; the education level of respondents; and the respondents’ level of sports fanship. Recent research in attitude structure is used to explain how different image criteria are recalled and employed by the different groups.

This study on corporate demand for general takāful (Islamic insurance) aims to identify potential growth areas and areas for improvement in takāful business practices in Malaysia.

A survey on corporates’ protection needs, takāful/insurance coverage obtained and awareness on takāful/insurance was conducted for this paper.

The findings from the survey are as follows: There is potential for takāful operators to further penetrate the corporate sector, as the majority of respondents indicated willingness to spend on takāful/insurance. Emphasis on takāful value propositions apart from its Sharīʿah compliance status is needed to attract corporates, as respondents were found to be indifferent on Sharīʿah compliance status of their protection. Strong market presence, expanded product offerings and efficient services were key determinants to attract takāful subscription. Respondents’ heavy reliance on intermediaries warrants strong collaboration with intermediaries to widen market outreach. The small and medium enterprises segment appeared promising, as it is found to be underserved despite having higher propensity to obtain takāful/insurance coverage compared to the overall respondents.

This study is limited to Malaysia’s experience. The findings are indicative (though they may not be conclusive) of the target segment as well as the takāful industry as a whole.

The insights on respondents’ considerations when obtaining takāful/insurance coverage and the correlation of these factors with respondents’ characteristics can assist takāful/insurance providers in structuring products and business strategies to better serve this market segment. The paper may also aid discussions among researchers and regulators on areas for further development of the industry.

Stakeholder management in the form of public engagement in urban planning and infrastructure project impact assessments have become increasingly prevailing. However, the exercise may involve some complex socio‐economic considerations and critical conflict analysis/resolution scenarios. Without a scientific approach, it is difficult to distil a resolution from the chaotic public opinions, especially in those highly controversial issues. This paper proposes the use of conflict analysis to screen out the resolution in a scientific manner.

This study uses a case of harbor‐front design in Hong Kong to illustrate how the analysis was carried out to accomplish the objectives.

The example has illustrated that the conflict analysis has helped resolve a set of major issues in the Hong Kong harbor‐front redevelopment.

The introduction of a structured conflict analysis framework for the government to systematically deal with the conflicting viewpoints from different parties (such as general public and other stakeholders) has been demonstrated, which can be used to map systematically the different viewpoints collected in the public engagement exercise. The results are more convincing and more likely to be acceptable by all the stakeholders.

The purpose of this paper is to empirically examine the financial outcomes from forage production and RI-PRF insurance interval for two locations in Nebraska. Both locations provide historical forage production and precipitation data, allowing the authors to examine the relation between RI-PRF net income and forage production.

The authors focus on evaluating the producer net income and risk (measured as variance of net income) by examining the relation between farm precipitation and production and comparing multiple insurance intervals to no insurance. Each insurance interval will likely have a different relation (basis risk) between observed production and return from insurance and, therefore, a different impact on the variance of net incomes. The impact on variance of net incomes identifies the risk-reducing aspects of RI-PRF insurance intervals. The authors then rank each scenario into four mutually exclusive zones that describe the risk-reducing effectiveness and whether the subsidy is working correctly.

The authors found both risk increasing and decreasing insurance intervals exist at both locations. One insurance scenario (low in BBR) provided the highest net income while increasing risk, suggesting a profit maximizing opportunity. RI-PRF reduces net income risk with intervals insuring during high expected precipitation (growing season); while net income risk increases with intervals insuring low expected precipitation (non-growing season, winter months). The farmer would want to insure during the high expected precipitation months, which coincides with the growing season, since RI-PRF lowers the net income risk. For the government, removing net income risk increasing intervals improves the allocation of government resources.

In this paper, the authors modeled the relation between RI-PRF interval selection using the historical forage production data at two locations in Nebraska. The use of historical forage production data allowed the authors to precisely identify the risk-reducing effectiveness of RI-PRF interval selection.

This study seeks to evaluate the stability of financial ratios across industry and over time. The sample comprises companies listed on the Stock Exchange of Singapore from 1980 to 1991 over six industry groupings. A set of 29 most commonly used ratios was selected for the study. Descriptive statistics, factor analysis and analysis of variance were performed. From the factor analysis results, eight representative ratios were identified. Analysis of variance and multiple comparisons were subsequently performed for each representative ratio to test if it is significantly different across industry and over time. The results indicate that financial ratio averages of the various industries are significantly different. This implies that the appropriate benchmark for evaluating company performance and position should be industry‐specific instead of economy based. Also, five of the representative ratios are significantly different over time and not all the industrial averages move consistently over time (i.e., interaction effects of industry and time exist). Thus, industry averages are not necessarily appropriate benchmarks for setting and evaluating performance through time.

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.

The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.

Results showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”

Results can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

To address requirements and specifications of construction project, academics need to build a project classification model. In recent years, project success concept, particularly on large-scale construction projects, has been a controversial issue, especially in developing countries. Hence, in this paper, after introducing a sustainable success index (SSI), a novel method called “rough set approach” had been adopted to induce decision rules and to classify construction projects. The paper aims to discuss these issues.

At first, 20 effective success factors and 15 success criteria based on three pillars of sustainability of economy, society and environment had been categorized. The research data used for analysis had been collected from 26 large-scale construction projects in Iran and five other countries. After collecting data collection, observations had been analyzed and 51 decision rules were generated, and the projects were classified. Eventually, in order to evaluate the performance of the generated rules, confusion matrix was applied, and the model was validated.

The results of the present study show that rough set theory (RST) can be an effective and valuable tool for building expert systems. Practical applications of these results along with limitations and future research are described.

Perhaps for the first time, in the present study, a number of large-scale construction projects are classified based on SSI. Applying RST for building rule-based system and classifying projects in construction project area are novel attempts undertaken in this paper. The rules induced in this study can be applied to develop a sustainable success prediction model in the future studies.

Medical tourism encourages the traveling of patients, expert healthcare professionals and promotes cross-border trade in healthcare services. The Indian medical tourism sector is facing new challenges as well as certain ethical and legal issues because of continuous market changes and patient’s requirements while at the same time advancements in current health services have also been observed. It is therefore very important to understand and address the issues of the medical tourists. The purpose of this paper is to evaluate the important factors which can make India an affordable medical tourism destination.

In this paper, the factors influencing Indian medical tourism sector have been explored by conducting literature review, they are ranked according to the results of a questionnaire-based survey and further analyzed by using the interpretive structural modeling (ISM) approach. The mutual relationships between these factors were identified to develop an ISM model so as to find out the important factors which can make India an affordable place for medical tourism.

The results of the survey and the model show that cost of medical procedures, facilitation, and care, the infrastructure of Indian hospitals, clinical excellence and the competence of doctors and staff are the top level factors.

It is very important to address the concerns of the patients coming to a developing country like India for availing medical services. This research has evaluated the important factors which can make India an affordable medical tourism destination.

This research assesses the effects of globalization on delivery of healthcare services in India by conducting critical analysis of the medical tourism industry by collecting original data from the international patients coming to India for different types of medical procedures so that a comprehensive model can be prepared which will help the hospitals and policymakers to improve the processes related to medical tourism.