Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Relationship Marketing Orientation on Business Performance in the Hotel Industry

The purpose of this study was to investigate the link between relationship marketing orientation and business performance in the hotel industry. Data were generated from 63 hotels in Hong Kong. The findings indicate that relationship marketing orientation was positively and significantly associated with marketing performance and financial performance of a hotel. Implications of the findings are discussed, and limitations of the study as well as further research directions are addressed.
Impact measurement practice in the UK third sector: a review of emerging evidence

This paper reviews emerging evidence about how the UK third sector is measuring its performance and impact. Impact measurement has become an increasingly important activity for third sector organisations in recent years, yet impact – and how to measure it – remain contested issues in policy, research and practice. By examining what we think we know about how third sector organisations undertake impact measurement and identifying areas for further research, this paper therefore aims to contribute to the ongoing discussion and debate about whether, and how, organisations should measure their impact. This review examines five key questions: how is impact and its measurement understood in existing research, policy and practice? what do we know about who is undertaking impact measurement in the sector? why are organisations measuring their impact? what practices and approaches organisations are using to measure impact? and key challenges and implications of impact measurement for the sector. Research on impact measurement is at an early stage, and has thus far tended to be boosterist in nature; nevertheless this review reveals a growing concern that requirements and demands for impact data from third sector funders are taking precedence over the requirements and needs of beneficiaries and service users. In this context, approaches which focus on organisational learning are being developed from within the third sector.
Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis

Background New possibilities for mHealth have arisen by means of the latest advances in mobile communications and technologies. With more than 1 billion smartphones and 100 million tablets around the world, these devices can be a valuable tool in health care management. Every aid for health care is welcome and necessary as shown by the more than 50 million estimated deaths caused by illnesses or health conditions in 2008. Some of these conditions have additional importance depending on their prevalence. Objective To study the existing applications for mobile devices exclusively dedicated to the eight most prevalent health conditions by the latest update (2004) of the Global Burden of Disease (GBD) of the World Health Organization (WHO): iron-deficiency anemia, hearing loss, migraine, low vision, asthma, diabetes mellitus, osteoarthritis (OA), and unipolar depressive disorders. Methods Two reviews have been carried out. The first one is a review of mobile applications in published articles retrieved from the following systems: IEEE Xplore, Scopus, ScienceDirect, Web of Knowledge, and PubMed. The second review is carried out by searching the most important commercial app stores: Google play, iTunes, BlackBerry World, Windows Phone Apps+Games, and Nokia's Ovi store. Finally, two applications for each condition, one for each review, were selected for an in-depth analysis. Results Search queries up to April 2013 located 247 papers and more than 3673 apps related to the most prevalent conditions. The conditions in descending order by the number of applications found in literature are diabetes, asthma, depression, hearing loss, low vision, OA, anemia, and migraine. However when ordered by the number of commercial apps found, the list is diabetes, depression, migraine, asthma, low vision, hearing loss, OA, and anemia. Excluding OA from the former list, the four most prevalent conditions have fewer apps and research than the final four. Several results are extracted from the in-depth analysis: most of the apps are designed for monitoring, assisting, or informing about the condition. Typically an Internet connection is not required, and most of the apps are aimed for the general public and for nonclinical use. The preferred type of data visualization is text followed by charts and pictures. Assistive and monitoring apps are shown to be frequently used, whereas informative and educational apps are only occasionally used. Conclusions Distribution of work on mobile applications is not equal for the eight most prevalent conditions. Whereas some conditions such as diabetes and depression have an overwhelming number of apps and research, there is a lack of apps related to other conditions, such as anemia, hearing loss, or low vision, which must be filled.
Image-Guided Personalized Predictive Dosimetry by Artery-Specific SPECT/CT Partition Modeling for Safe and Effective 90Y Radioembolization

Compliance with radiobiologic principles of radionuclide internal dosimetry is fundamental to the success of 90Y radioembolization. The artery-specific SPECT/CT partition model is an image-guided personalized predictive dosimetric technique developed by our institution, integrating catheter-directed CT hepatic angiography (CTHA), 99mTc-macroaggregated albumin SPECT/CT, and partition modeling for unified dosimetry. Catheter-directed CTHA accurately delineates planning target volumes. SPECT/CT tomographically evaluates 99mTc-macroaggregated albumin hepatic biodistribution. The partition model is validated for 90Y resin microspheres based on MIRD macrodosimetry. Methods: This was a retrospective analysis of our early clinical outcomes for inoperable hepatocellular carcinoma. Mapping hepatic angiography was performed according to standard technique with the addition of catheter-directed CTHA. 99mTc-MAA planar scintigraphy was used for liver-to-lung shunt estimation, and SPECT/CT was used for liver dosimetry. Artery-specific SPECT/CT partition modeling was planned by experienced nuclear medicine physicians. Results: From January to May 2011, 20 arterial territories were treated in 10 hepatocellular carcinoma patients. Median follow-up was 21 wk (95% confidence interval [CI], 12–50 wk). When analyzed strictly as brachytherapy, 90Y radioembolization planned by predictive dosimetry achieved index tumor regression in 8 of 8 patients, with a median size decrease of 58% (95% CI, 40%–72%). Tumor thrombosis regressed or remained stable in 3 of 4 patients with baseline involvement. The best α-fetoprotein reduction ranged from 32% to 95%. Clinical success was achieved in 7 of 8 patients, including 2 by sublesional dosimetry, in 1 of whom there was radioembolization lobectomy intent. Median predicted mean radiation absorbed doses were 106 Gy (95% CI, 105–146 Gy) to tumor, 27 Gy (95% CI, 22–33 Gy) to nontumorous liver, and 2 Gy (95% CI, 1.3–7.3 Gy) to lungs. Across all patients, tumor, nontumorous liver, and lungs received predicted ≥91 Gy, ≤51 Gy, and ≤16 Gy, respectively, via at least 1 target arterial territory. No patients developed significant toxicities within 3 mo after radioembolization. The median time to best imaging response was 76 d (95% CI, 55–114 d). Median time to progression and overall survival were not reached. SPECT/CT-derived mean tumor–to–normal liver ratios varied widely across all planning target volumes (median, 5.4; 95% CI, 4.1–6.7), even within the same patient. Conclusion: Image-guided personalized predictive dosimetry by artery-specific SPECT/CT partition modeling achieves high clinical success rates for safe and effective 90Y radioembolization.
Dietary Diversity, Food Security and Undernourishment: The Vietnamese Evidence*

As is widely known, Vietnam experienced a rise in living standards and a decline in expenditure poverty during the first half of the 1990s. This paper extends this knowledge by providing evidence on the Vietnamese experience of food security, undernourishment and poverty from the late 1990s to the early part of the new millennium. The results suggest that poor households did not experience increases in food consumption, calorie intake and dietary diversity of the same magnitude as non-poor households. Nevertheless, Vietnam experienced impressive reductions in both calorie deprivation and expenditure poverty at the turn of the century. Non-poor households, in particular, experienced spectacular increases in calorie intake and dietary diversity during the period 1997/1998-2004. This paper also reports regression results which point to the role of urbanization and improvement in education levels in promoting dietary diversity and nutrient intake. The present study finds evidence of sharp regional differences in calorie intake and calorie costs, which suggests that the authorities should set provincial poverty lines, contrary to the current practice adopted by Vietnam's General Statistical Office. Copyright 2009 The Authors. Journal compilation 2009 East Asian Economic Association and Blackwell Publishing Ltd.
Risk-based approaches to food safety regulation: what role for co-regulation?

Food safety regulation is a key policy area that has witnessed an increasing alignment of risk and regulation. This paper examines the emergence and operation of co-regulation – a hybrid form of regulation in which public and private actors coordinate their respective regulatory activities – within the increasingly risk-based approaches to food safety management. On the basis of an analysis of emerging co-regulatory arrangements to food safety in the European Union, the paper contends that there are considerable difficulties in implementing such hybrid arrangements and deepens the basic preconditions under which they can attain the social goal of safe food supply. Specifically, it is argued that a regulatory framework that fosters public oversight and warrants data sharing and information exchange between the public and private actors involved is needed for the attainment of that goal. This framework has to be responsive to changing risk profiles and industry environments to ensure that food safety controls are risk-based, transparent and not captured by industry interests. This is particularly crucial for encouraging voluntary compliance as well as efficient allocation of limited regulatory resources.
Mitigating Error Propagation in Successive Interference Cancellation

In this letter, we propose a novel signal detection method for spatially multiplexed multiple input multiple output (MIMO) systems, based on the idea of ordered successive interference cancellation (OSIC). In the proposed method, we try every possible value as the first detected symbol instead of making a decision. Although the proposed method requires slightly increased complexity compared to the conventional OSIC, the proposed method eliminates the error propagation from the first detected symbol, so it offers significantly better error performance compared to the conventional OSIC. We compare the proposed method with previous ML, ML-DFE, QRD-M, MMSE, MMSE-OSIC detection methods in terms of the error performance and the computational complexity, and show that the proposed method offers a good performance-complexity trade-off.
Strategic concerns and capability impeders

Evidence points to the need for a coherent, well‐communicated manufacturing strategy which establishes the best possible link between the competitive needs of the business and what needs to be done at the operational level in order to provide the business with a sustainable advantage over the competition. Presents a process of manufacturing strategy development which links the strategic needs of the business to the operational level in order to determine the operational areas of strategic concern in the company. Examines the effectiveness of a company′s capabilities, using a methodology for identifying the main impeders to improvements being made with respect to these particular areas of strategic concern.
The Implications of Strategy and Social Context for the Relationship Between Top

This research reexamines the link between top management team (TMT) heterogeneity and firm performance. Specifically, I theorize that the effects of education, work experience, and tenure on performance will depend upon the top management team's strategic and social context. In a test of such theorizing, I find that (1) the positive relationships between TMT educational, functional, and tenure heterogeneity and performance are contingent on complexity, as indicated by a firm's international strategy and, (2) such relationships are clearly stronger in short-tenured top management teams. The theory and results presented here provide impetus for future studies, as well as suggest to upper echelon researchers that they think more critically about the conditions under which demographic characteristics are most likely to influence organizational outcomes like performance. Copyright © 2002 John Wiley & Sons, Ltd.
Managing brand personality when brand undergoes sequential extension

For managing the brand in the FMCG industry, the brand personality is a crucial variable and the company makes great efforts to communicate them to their target consumers. The wider the range of brands extended, the higher is the awareness the company needs regarding how their consumers perceive the extended brands. This research study shows the phenomenon of brand extension and examines the correlation of consumer perception on the parent brand and extended brand personalities as the brand undergoes sequential extension. The case study discusses the evolution and growth of brand in niche segment and its gradual extension into different product line. The key focus of the study is brand personality of Dove. The brand which was largely perceived as feminine brand has in year 2010 launched a new Dove Men + Care line. The case highlights the challenges thrown open due to this launch. Will this 360 degree stretch be an opportunity or an illusion?
Innovation and economic performance in services. A firm level analysis

This paper explores the two-way relationship between innovation and economic performance in services using a longitudinal firm-level dataset which matches data from the second Community Innovation Survey, CIS II (1993--95), against a set of economic variables provided by the System of Enterprise Accounts (1993--98). The results presented show that innovation is positively affected by past economic performance and that innovation activities (especially investments in ICTs) have a positive impact on both growth and productivity. Furthermore, productivity and innovation act as a self-reinforcing mechanism, which further boosts economic performance. These findings provide empirical support for the endogenous nature of innovation in services and the presence in this sector of competition models and selection mechanisms based on innovation. Copyright 2006, Oxford University Press.
Accurate Measurement of Fault Currents Contaminated With Decaying DC Offset and CT Saturation

Decaying dc offset and current-transformer (CT) saturation are the main obstacles to accurate measurement of the fundamental frequency component of fault currents. So far, most of the research works have focused exclusively on only one of these obstacles. However, very recently, research has been directed toward new current measurement algorithms which can deal with both of these issues simultaneously. Using least error squares technique and a simple offline lookup table, this paper introduces a novel method to filter out the decaying dc component and the effects of CT saturation. The proposed algorithm provides the fundamental sinusoidal component of current accurately. This method can respond using only five current samples. Meanwhile, the window size could also be increased to provide more immunity against noise and harmonics. High speed and accuracy, together with the simplicity and noise immunity of the proposed method, can make it a practical solution to address the decaying dc offset and CT saturation problems. Numerous simulated and real fault currents as well as real-time hardware implementation verify the effectiveness of the proposed algorithm.
Enhanced information transmission with generalized Gaussian signal via suprathreshold stochastic resonance

We investigate the noise-enhanced information transmission with generalized Gaussian signal via the measure of mutual information, in context of suprathreshold stochastic resonance (SSR). The effects of the noise intensity and the exponent parameter of the input signal on mutual information are discussed. It is shown that the qualitative behavior of SSR does not depend on the actual signal and noise distribution. However, it is found that the exponent parameter of the generalized Gaussian signal distribution has a crucial effect on the position or the maximum value of the mutual information.
An analysis of Chinese money and prices using a McCallum-type rule

This paper evaluates the usefulness of a McCallum-type monetary policy rule based on money supply for maintaining price stability in mainland China. We examine whether excess money relative to rule-based values provides information that improves the forecasting of price developments. The results suggest that our monetary variable helps in predicting both consumer and corporate goods price inflation, but the results for consumer prices depend on the forecasting period. Moreover, results using a structural vector autoregression suggest that our measure of excess money supply could be used to identify monetary policy shocks in the Chinese economy.
The Challenge of Revenue Sharing with Bundled Pricing: An Application to Music

Although bundling can substantially increase profits relative to standalone pricing, particularly for zero‐marginal‐cost information products, it has one major problem: bundling produces revenue that is not readily attributable to particular pieces of intellectual property, creating a revenue division problem. We evaluate several possible solutions using unique song valuation survey data. We find the Shapley value, a well‐motivated theoretical solution, is universally incentive compatible (all bundle elements fare better inside the bundle than under standalone pricing), but revenue‐sharing schemes feasible with readily available consumption data are not. Among feasible schemes, Ginsburgh and Zang's modified Shapley value performs best.
Firms under Judicial Protection: A Profitable Investment?

The objective of this article is to observe stock prices of firms around their filing for liquidation or reorganization procedure. Through a methodology developed for this purpose, we compare the stock returns of these firms with that of “similar” companies but not affected by this type of event. The results report higher average market profitability for firms under protection of the American bankruptcy code for a holding period of between 1 and 5 months after the announcement date.
What are the Right Models and Policies for a World of Low Inflation?

Monetary policy should be guided by macroeconomic models with limited nominal rigidity; ‘New Classical’ or even for some issues just plain Classical (i.e. with no nominal rigidity at all) models are perfectly adequate for understanding various aspects of the economy that have previously led economists to believe in a high degree of nominal rigidity. On UK data these models account for the facts of inflation persistence and exchange rate ‘overshooting’; their impulse responses are in line with the data; and a typical example, the Liverpool Model, is marginally accepted in its entirety by the data since 1979. Such models suggest that no increased macro instability would result from taking the rigours of monetary policy one stage further from inflation targeting and ensuring that the price level itself is returned to its long-run preset target path — so that the value of money over long periods of time would be utterly predictable.
Sponge phase of surfactant solutions: An unusual dynamic structure factor.

The dynamics near the symmetry-breaking transition in the sponge phase (${L}_{3}$) of self-assembling surfactant solutions is considered. The surfactant motion is taken to be diffusive (conserved), while the order parameter for the transition ($\ensuremath{\eta}$) is assumed to follow two channels of relaxation: diffusion (conserved) and leakage (nonconserved). Our dynamical treatment is based on mean-field theory within a time-dependent Landau-Ginzburg approach, whose static limit reproduces an earlier successful theory of the static structure factor. We consider two main regimes: in the first, $\ensuremath{\eta}$ relaxes rapidly compared to the surfactant diffusion, while in the second, the opposite limit applies. We find that in the fast-$\ensuremath{\eta}$ regime the surfactant dynamical structure factor $S(k,t)$ is exponential in time, but the relaxation rate shows an unusual logarithmic behavior. On the other hand, in the slow-$\ensuremath{\eta}$ regime, $S(k,t)$ is very nonexponential in time (although the average relaxation rates show the conventional critical slowing-down effects). We argue that a crossover from the fast-$\ensuremath{\eta}$ to the slow-$\ensuremath{\eta}$ case occurs as the $k$ vector is increased. Implications for dynamic light scattering from sponge systems are discussed.
Herd Behaviour, Bubbles and Crashes

This paper attempts to formalize herd behavior or mutual mimetic contagion in speculative markets. The emergence of bubbles is explained as a self-organizing process of infection among traders leading to equilibrium prices which deviate from fundamental values. It is postulated furthermore that the speculators' readiness to follow the crowd depends on one basic economic variable, namely actual returns. Above average returns are reflected in a generally more optimistic attitude that fosters the disposition to overtake others' bullish beliefs and vice versa. This economic influence makes bubbles transient phenomena and leads to repeated fluctuations around fundamental values. Copyright 1995 by Royal Economic Society.
Congressional Politics of Financing the International Monetary Fund

We address the question of how international public goods are financed by analyzing voting in the U.S. Congress on legislation to increase the U.S. contribution to the International Monetary Fund (IMF). We argue that legislators are more likely to vote in favor of an increase (1) the more campaign contributions they obtain from banks that specialize in international lending, and (2) the greater the share of high-skilled “proglobalization” workers in their districts. The first argument supports the inference that a financially strong IMF mitigates the risks of international lending, to the benefit of the lending banks. The second reflects our claim that voters view the IMF as a positive force for global economic integration that—following Stolper-Samuelson reasoning—benefits high-skilled workers. Lastly, we analyze IMF loan decisions and find modest support for the claim that IMF policy reflects the interests of major international banks. Overall, our results suggest that private actors within the United States have individual stakes in funding the IMF.We presented earlier versions of this paper at the 8th Annual International Society for New Institutional Economics Conference (ISNIE), Tucson, Ariz. , September–October 2004, and at the Delegation to International Organization Conference, Del Mar, Calif. , September 2003. We thank participants for comments. We also thank Michael Hiscox, Mathew McCubbins, J. R. DeShazo, David Lake, Jeffry Frieden, James Vreeland, William R. Clark, Erica Gould, Joseph Joyce, Devesh Kapur, Louis Pauly, Shanker Satyanath, Beth Simmons, and Michael Tierney for suggestions; and Mark Farrales and Molly James for excellent research assistance.