Search results

Sports organisations must continuously assess how better to meet or exceed consumer expectations and perceptions of their experience in order to maintain and increase the number of spectators and loyal fans attending their sporting events. This study aims to enhance our understanding of which characteristics of a service attribute will best define its quality and impact on spectator behaviour by understanding the causal relationship between perceived service quality (PSQ) and satisfaction.

This paper seeks to adopt FRBRoo as an ontological approach to integrate heterogeneous metadata, and transform human-understandable format into machine-understandable format for semantic query.

Two cases of use with museum artefacts and literary works were exploited to illustrate how FRBRoo can be used to re-contextualize the semantics of elements and the semantic relationships embedded in those elements. The shared ontology was then RDFized and examples were explored to examine the feasibility of the proposed approach.

FRBRoo can play a role as inter lingua aligning museum and library metadata to achieve heterogeneous metadata integration and semantic query without changing either of the original approaches to fit the other.

Exploration of more diverse use cases is required to further align the different approaches of museums and libraries using FRBRoo and make revisions.

Solid evidence is provided for the use of FRBRoo in heterogeneous metadata integration and semantic query.

This is the first study to elaborate how FRBRoo can play a role as a shared ontology to integrate the heterogeneous metadata generated by museums and libraries. This paper also shows how the proposed approach is distinct from the Dublin Core format crosswalk in re-contextualizing semantic meanings and their relationships, and further provides four new sub-types for mapping description language.

The purpose of this paper is to identify, classify and analyse temporality in information systems development (ISD) literature.

The authors address the temporality and ISD research gap by using a framework – which classifies time into three categories: conceptions of time, mapping activities to time and actors relating to time. The authors conduct a systematic literature review which investigates time in ISD within the Senior Scholars' Basket, Information Technology & People (IT&P), and top two information systems conferences over the past 20 years. The search strategy resulted in 9,850 studies of which 47 were identified as primary papers.

The results reveal that ISD research is ill equipped for contemporary thinking around time. This systematic literature review (SLR) contributes to ISD by finding the following gaps in the literature: (1) clock time is dominant and all other types of time are under-researched; (2) contributions to mapping activities to time is lacking and existing studies focus on single ISD projects rather multiple complex ISD projects; (3) research on actors relating to time is lacking; (4) existing ISD studies which contribute to temporal characteristics are fragmented and lack integration with other categories of time and (5) ISD methodology papers lack contributions to temporal characteristics and fail to acknowledge and contribute to time as a multifaceted interrelated concept.

This work has developed the first SLR on temporality in ISD. This study provides a starting point for ISD researchers and ISD practitioners to test commonly held temporal assumptions of ISD researchers and practitioners.

Most studies on Sentiment Analysis are performed in English. However, as the third most spoken language on the Internet, Sentiment Analysis for Spanish presents its challenges from a semantic and syntactic point of view. This review presents a scope of the recent advances in this area.

A systematic literature review on Sentiment Analysis for the Spanish language was conducted on recognized databases by the research community.

Results show classification systems through three different approaches: Lexicon based, Machine Learning based and hybrid approaches. Additionally, different linguistic resources as Lexicon or corpus explicitly developed for the Spanish language were found.

This study provides academics and professionals, a review of advances in Sentiment Analysis for the Spanish language. Most reviews on Sentiment Analysis are for English, and other languages such as Chinese or Arabic, but no updated reviews were found for Spanish.

The purpose of this paper is to examine the dynamic of consumers' perceptions of GM food and explore whether their knowledge of GM technology is associated with a significant change.

This paper presents a meta-analysis of 156 primary studies reporting a total of 225 attitudes toward genetically modified foods. To identify the impact of consumers' knowledge of GM technology, the authors estimate multivalued treatment effects model.

The results of this study show that consumers' attitudes show a U shape during 2001–2022. That is, the rise in opposition to genetically modified foods has been reversed. In addition, this study also shows that the increase in consumers' knowledge of genetically modified technology contributes to their changes in attitude.

This paper is the first study that empirically investigates the dynamics of Chinese consumers' attitude to genetically modified foods, and shows the rise in opposition to genetically modified foods has been reversed, which has important implication for commercialization of genetically modified crops in China.

The purpose of this study is to examine the effect of social support, healthy life expectancy, freedom to make life choices, generosity, corruption perception, real gross domestic product per capita and the Gini index on happiness.

In this study, the sample consists of 137 countries observed over the period 2017–2019. A multidimensional approach is used consisting of a principal component analysis and an econometric linear regression model.

The findings indicate that perception, taking care of other people, corruption perception, freedom to make life choices and healthy life expectancy are the most determining factors of social well-being.

Well-being benefits countries by improving living standards. Indeed, taking care of other people, corruption perception, freedom to make life choices and healthy life expectancy directly and positively correlate with social well-being.

This study contributes to the previous literature in three ways. First, this paper provides fresh and recent data on social well-being. Second, the author introduced a multidimensional approach using a principal component analysis of the different social well-being factors to detect correlation between these indicators and to determine homogeneous clusters. Third, through these indicators, a country's leaders can formulate policies to enhance social well-being because it is closely linked to the improvement of the standard of living, good governance and therefore an increase in GDP.

Profit analysis of a two non‐identical unit cold standby system model with mutual changeover of the units is carried out in this paper. With mutual changeover of the unit, the operating unit, after functioning for some random amount of time, becomes standby to take rest, and the standby unit becomes operative. The failure and repair times of each unit are jointly distributed as bivariate exponential (BVE) with different parameters. Various measures of system effectiveness useful to system engineers and designers are obtained by using the regenerative point technique. Behaviour of the mean time to system failure (MTSF) and availability have also been studied graphically.

The purpose of the work consists in studying social integration as a factor of economic growth. The authors focus on experience and perspectives of developing countries, as they show the highest rate of economic growth and have high potential of its acceleration.

The authors determine the interconnection between the processes of social integration in the four distinguished manifestations with the help of regression analysis and determine the level of homogeneity of data selections for each studied indicator with the help of variation analysis. Scenario analysis of future perspectives of the change of economic growth depending on the influence of the factor of social integration in the unity of its distinguished types is performed. Monte Carlo method is used for forecasting of change of the values of indicators of social integration.

It is substantiated that social integration is an important factor of economic growth. At the same time, the influence of this factor on economic growth of developing countries is ambiguous. Due to the offered proprietary classification of social integration according to the criterion of involved subjects, it is possible to establish that such types of social integration as integration of social groups, integration of business and society and integration of state and society have a positive influence. However, individual's integration into society has a negative influence.

The research contributes to development of economics by substantiating the significance of the social integration factor for economic growth and specifies the logic of management of this factor, which should be flexible. The perspectives of developing countries in acceleration of the rate of economic growth based on managing the factor of social integration are rather wide and envisage the increase of society's inclusion and the level of consumer consciousness and more active involvement of population into state management in the digital economy.

Students, faculty staff and universities thrive and reach their full potential through planning and a sense of community. In a few short weeks, COVID-19 unravelled months of planning, separated the university community and shifted tertiary education to remote learning. This created a triangulated expectations–performance gap as to what could be reasonably implemented to support student learning, support educators and provide a continued sense of community. The purpose of this paper is to consider how educators could implement strategies to close the expectations gap created by COVID-19 remote learning.

The authors consider the expectations gap through pre-COVID-19 pedagogical strategies and teaching methods, then outline how we modified them into COVID-19 teaching approaches and designs.

The authors found that although expectations differ between university administration, students and faculty staff, there are a number of paths educators can take to close the expectations gap, facilitate interaction and engagement while gently encouraging self-driven student learning in a difficult time.

The practical exemplars identify steps educators can take as support mechanisms for student learners to embrace and take control of their own education in the remote learning environment and convey the importance of maintaining a sense of belonging. This creates an improved teaching environment for educators and an enhanced learning environment for students.

Though Indian economy since 1980s has expanded very rapidly, yet the benefits of growth remain very unequally distributed. The purpose of this paper is to provide new evidence about the shape, intensity and decomposition of inequality change between 2005 and 2012. The authors find that Gini, as a measure of income inequality, has increased irrespective of geographic regions.

Based on a recent distribution analysis tool, “ABG,” the paper focuses on local inequality, and summarizes the shape of inequality in terms of three inequality parameters (α, β and γ) to examine how the income distributions have changed over time. Here, the central coefficient (α) measures inequality at the median level, with adjustment parameters at the top (β) and bottom (γ).

The results reveal that at the middle of distribution (α), there is almost the same inequality in both the periods, but the coefficients on the curvature parameters β and γ show that there is increasing inequality in the subsequent period. Finally, an analysis of decomposition of inequality change suggests that though income growth was progressive, however, this equalizing effect was more than offset by the disequalizing effect of income reranking.

This paper shows how it can be possible both for “the poor” to fare badly relatively to “the rich” and for income growth to be pro-poor.

This paper stresses the significance of inequality reduction.

Inequality reduction is very much imperative in ending poverty and boosting shared prosperity.

Perhaps, this research work is first of its kind to examine the shape and decomposition of change in income inequality in India in recent years.