A typology of students based on academic entitlement

Two hundred ninety-three university business students were surveyed using an academic entitlement (AE) scale updated to include new technologies. Using factor analysis, three components of AE were identified: grade entitlement, behavioral entitlement, and service entitlement. A k-means clustering procedure was then applied to identify four groups based on the relative strength of the AE components: the model student, under the radar, instructor as servant, and the privileged. These groups were further characterized by additional demographic (i.e., parental income) and classroom variables (i.e., instructor response times). Findings can help business educators gain better insight into the AE construct and devise more effective instructional strategies.     

Analysis of the Service Dominant Logic network,authors, and articles

The present study analyses research conducted in Service Dominant Logic (S-D logic), providing an overview of its intellectual structure. For that purpose, a structured approach was adopted through the implementation of bibliometric methods, using co-citation analysis combined with performance analysis and an integrative science mapping approach, which considered a timeline, a graph, and a distance-based perspective. This allowed the identification of the leading authors and of six clusters of articles based on bibliographic coupling, along with the most prominent research themes clustered in five subdomains of research based on co-occurrence of terms. The networks extracted show the associations between the main articles and concepts treated by the S-D logic community, unveiling the salient challenges and prospective expansion facing its future theoretical and practical context.     

Online Purchase Paths and Conversion Dynamics across Multiple Websites

Low transportation costs online allow shoppers to visit multiple e-commerce sites for a purchase decision. This research investigates online shoppers’ visit and purchase behaviors across competing websites. To consider that shoppers’ longitudinal cross-site visit data may consist of several unobserved shopping episodes, we propose a modeling approach to probabilistically clustering and relating online visits to latent shopping episodes, based on the temporal patterns of the visit events. The inferences are then used to examine shoppers’ visit-to-purchase behavior across websites. Using Internet clickstream data on individual-level browsing and transaction records at major air travel sites, we find that online shoppers’ cross-site visit patterns tend to be clustered and the purchase propensity is significantly higher at later visits within a visit cluster, compared to earlier visits. As our results suggest the possibility that visit clusters can serve as a reasonable proxy for shopping episodes, we look further into shoppers’ website choice and purchase behaviors within a cluster. We discuss how the cluster-based analysis can help managers tailor online marketing and advertising strategies based on shoppers’ cross-site visit and purchase patterns.     

连云港市新浦区核心商圈分析及发展研究

随着江苏省沿海经济大开发战略的实施,连云港市经济快速发展、城市化进程加快,打造港城特色的核心商圈已成为连云港国际化海滨城市建设的重要任务之一。结合连云港市新浦区核心商圈发展现状,分析其存在的问题,最终提出连云港市新浦区核心商圈发展的思路和对策:整体规划现有商圈,积极开发东部新商圈;调整经营业态,提升经营档次;加强商业配套设施建设,改善商圈环境;全力构建连云港特色商业街区。     

A conceptual framework for healthy food choice in full-service restaurant

The reasons for people’s food choices are complex and result from the interplay of several influences throughout various contexts. Although research has found that various factors influence people’s food choices, investigators have not considered the diverse elements affecting the methods or the procedures that people employ for selecting healthy foods in the context of full-service restaurants. Therefore, the current study was conducted to better comprehend family or casual dining consumers’ choices in relation to healthy eating behaviors. This qualitative study purposefully sampled three focus group interviews with three different types of participants (mature, nonmature, and chef/manager) to identify important factors that can encourage people to buy or eat healthy foods when dining at full-service restaurants. Content analysis of 16 interviews revealed three levels of healthy food choice factors that affect customers who want to enjoy healthy foods in full-service restaurants.     

Reconsidering Media Discourses on Food Crisis from a Quantitative Perspective

In 2007–2008, when food prices started to increase dramatically, purchasing power parity of consumers, especially the urban poor, started to decrease automatically. High food prices were argued to cause poverty, hunger, and food riots among urban populations. Henceforward, “food crisis” became a new storyline in the current debate. In contrast, in the pre-2007 period, when rural farmers had been facing negative welfare effects of low food prices for many years, there were no crisis talks. This article analyzes different media coverage of urban consumers and rural producers under changes in relative incomes for the 2000–2013 period and propounds media bias on the food crisis debate by using content analysis and the OLS regression model.     

How Does Stock Market React to Dividend Surprises? Evidence from Emerging Markets of India and Russia

In this article the authors empirically investigate information content of dividends announcements and average reaction of emerging markets of India and Russia to dividend surprises on the postcrisis period 2010 to 2014. The study applies an analysts’ expectations-based approach rarely used in academic literature. The authors conclude that the Russian market on average reacts negatively to good and bad dividend surprises; good dividend surprises on average trigger positive abnormal returns on Indian stocks, whereas bad and no surprises are associated with negative reactions of the Indian market. Results of the study are discussed from the perspective of dividend signaling theory, market efficiency, and investor behavior.     

Public system usability analysis for the valuation of cognitive burden and interface standardization: A case study of cross-ATM design

Humans are unable to effectively handle machines that have poor interface and interaction patterns. The Automated Teller Machine (ATM) is one of the machines that is most frequently operated by a wide spectrum of people. Hence, it is common to apply Human–Computer Interaction (HCI) technology in the design of ATMs. User–ATM interaction, however, has barriers such as a user’s working memory limit, lower literacy level, or lack of awareness and access. Moreover, the diversity of interfaces hurt user motivation, perception, and experience significantly. For example, each bank has its own ATM design targeting its customers only and, thus, when clients of other banks come across such a machine, they suffer from cognitive burden and commit many errors. To this end, we conduct an analytical survey of ATMs used in Pakistan through user analysis and heuristics analysis. We figure out the influence of design diversity and user perception on ATM users’ cognitive stress with the cognitive walkthrough analysis on the survey. We also uncover a realism-usability gap by reviewing the sampled ATM screens from the viewpoint of HCI heuristics. Finally, we suggest the guidelines on the cross-ATM design, characterized by the standardized fast-cash menu and the fail-safe mechanism for novices. This study demonstrates that users are reluctant to switch out of their comfort zones, due to learning costs and a lack of motivation. Therefore, we should design public systems in a very standardized way, which becomes more crucial for a user’s cognitive relief as interface and design patterns are becoming more diverse in our daily lives.     

The dynamics of tourism discourses and policy in Brazil

This article employs a Foucauldian inspired discourse analysis in order to unveil hidden aspects of the tourism development policy-making process in the UNESCO Espinhaço Range Biosphere Reserve, Brazil. It identifies the emergence of different representations of tourism development and demonstrates the process of social construction of sustainable tourism as an overarching discourse, which incorporates different—sometimes opposing—representations of tourism development to gather the support of people with different backgrounds and interests. However, this research demonstrates that this flexibility caused the sustainable tourism narrative to become a vague and imprecise discourse in the context of the case study, which has been used by the regional elites to conserve the status quo, but disguised as a critical alternative perspective.     

Clustering attendees at the Philharmonic Orchestra’s Summer Festival

There has been an increase in the number of arts and music festivals held annually in South Africa. These festivals range from wide all-encompassing arts festivals, such as the National Arts Festival, to specific festivals that cater for very specific audiences, such as the Jazz Festival and the Philharmonic Orchestra Festival. It may therefore be expected that the attendees of the various types of festivals would differ quite substantially. While much research has been conducted to understand visitor behaviour at general arts festivals and the economic contributions of these festivals, attendees of these more specialised events have been neglected. However, understanding who the attendees are and their behaviour is paramount to the sustainability of these festivals. Therefore, this paper aims to address this void and set the following objectives: (1) to compile a profile of attendees at the Philharmonic Orchestra Festival; (2) to cluster attendees of the Festival into distinct groups; and (3) to compare the various clusters with one another. Data were obtained by administrating 500 visitor questionnaires during January 2010. Using cluster analysis, visitors are grouped based on various characteristics and the differences between the clusters are explored using factor analysis and analysis of variance. Main results indicate that most visitors are mature in age and well educated, from which three clusters were identified with differences evident between the clusters.