1,720,976 research outputs found
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An Exploratory Research to Formulate the Web-Customer Satisfaction in terms of Digital Business Model
Internet has provided a freeway to organizations from traditional business model to e-commerce to market, advertize, and commerce around the globe. The increasing Internet penetration rates have transformed the e-commerce business model to digital business model, also called eBusiness. It is found that web-customers and their behavioral patterns often differ from customers with traditional purchasing behavior. In the present Internet generation, organizations may need to go beyond website performance in order to build their overall customer satisfaction. In the hospitality and tourism industry, organizations need to create value and build relationships with its customers that go beyond e-commerce. Considering the recent developments in this digital business model, the objective of this study is to conduct an exploratory research that depicts the variables that may have significant influence on the web-customer satisfaction. This study aims to conduct an exploratory research through literature search for formulating the model for web-customer satisfaction
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Using Survival Modeling for Turn-Time Predictions in Foodservice Settings
Within the competitive foodservice industry, the ability to accurately predict the length of the meal process known as turn-time is critical to the success of the firms in the industry. This is traditionally done through multiple least squares (linear regression) technique. However, linear regression lack the characteristics needed to accurately predict time durations, while survival models were designed for that purpose. This study utilized simulated data of a dine-in restaurant to test and compare the ability of linear regression to five survival models (proportional hazard models) to accurately predict the duration of turn-time. The results from the simulated trials show that while some of the survival models held marginal improvements, linear regression performed adequately for predicting duration of turn-time as compared to the survival models. For practitioners interested in the practical ease of the models, linear regression is recommended while practitioners interested in incremental improvements may opt for survival models
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Consumer knowledge and behavior toward green restaurants
Sustainability in restaurants has become an issue. Owners and managers wasn't to know what consumers value. This paper addresses this by studying the knowledge, attitude, and behavior of consumers in regards to environmental issues. The sample was made up of college student from one academic department in a southern mid-western state.31 surveys were submitted back to the researcher. A Pearson r Correlation was used to determine correlation between items in the survey to see what consumers care about. The results demonstrated a strong correlation across multiple categories. The findings also suggest areas for future research
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Social Responsibility in Events
In recent history, Corporate Social Responsibility (CSR) has come to the forefront of many conversations and surveys in the event industry, yet no study has been completed to determine the feasibility CSR as an event industry initiative. For event planners, several studies report that CSR is a top priority, but site selection literature has not reported CSR as a factor in selecting a destination. The lack of CSR in the site selection process is also seen in the current marketing strategies of the supplier population. This researcher examines the CSR perceptions of 44 corporate event planners and 41 destination management organization representatives to examine if CSR is currently a major decision making factor in the event industry. Data were collected via qualitative and quantitative methods. Through mixed method data analysis, this study found that there is not a single definition of CSR for the event industry, but there is practical evidence that an organization having a CSR definition affects the respondents CSR perception. The study also found that while the perception of CSR was positive for both populations, neither population felt that it had a great effect on the higher functions of the event planning process. Finally, the study found that the respondent's perception of the supply/demand relationship is possibly affected by CSR. The limitations of this study and future research are also discussed.School of Hotel and Restaurant Administratio
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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