Why Do They Keep Coming Back? The Effect of Push Motives vs. Pull Motives,and Attribute Satisfaction on Repeat Visitation of Tourist Destinations

We conjecture that attribute satisfaction, push motives and pull motives will be positively related to return visitation of tourist destinations. We also hypothesize that push factors will be stronger related to return visitation of tourist destinations than pull factors, both directly and indirectly as mediators of the relationship between attribute satisfaction and return visitation. In addition, we predict that age and gender will moderate the effect of push and pull factors on repeat visitation. Finally, we argue that push factors and pull factors will be mutually reinforcing. To test these hypotheses, we conducted an online survey of repeat tourists’ motives, and received 986 complete responses. Survey participants were randomly chosen from a group that met a series or qualifying questions. PLS-SEM analysis of the data showed that, as we hypothesized, attribute satisfaction and push motives were positively related to repeat visitation. In contrast, pull motives were not related to repeat visitation, either directly or indirectly, but did reinforce the effect of push motives; gender did not moderate either push or pull motives and age moderated only pull motives. We discuss the theoretical and practical implications of these findings.     

Good global citizen? ASEAN’s image building in the United Nations

ABSTRACT

Based on role theory, the article examines the images that ASEAN member governments project of their organization. It rests on a discourse analysis of 198 speeches in the United Nations General Assembly between 1998 and 2017. Findings suggest that ASEAN does not figure as a top priority for delegates and that an overarching ASEAN role conception is missing. However, their addresses reveal parameters on which a collective role conception can be built. Individual ASEAN countries undertake great efforts to project themselves as ‘good global citizens,’ a role conception that could also be applied to ASEAN.     

Consequences of a green image of drone food delivery services: The moderating role of gender and age

Drone food delivery services play a significant role in protecting the environment, because the services are operated by batteries that can be charged with electricity. Therefore, this study tried to examine a green image in the context of drone food delivery services. More specifically, this study proposed that a green image of drone food delivery services plays an important role in the formation of attitude toward using the services. In addition, it was hypothesized that the attitude has a positive influence on behavioral intentions including intentions to use, word‐of‐mouth intentions, and willingness to pay more. Lastly, the moderating role of gender and age was proposed during the theory‐building process. A theoretical model, which included 12 hypotheses, was developed and tested using a total of 427 samples collected in Korea. The data analysis results showed that a green image of drone food delivery services has a positive influence on attitude toward using the services, which in turn positively affects three subdimensions of behavioral intentions. Furthermore, gender and age played partly as a moderator. The current paper was the first to study the green image of drone food delivery services, so the findings of this study mean a lot to the theoretical aspect.     

Political brand image: an investigation into the operationalisation of the external orientation of David Cameron’s Conservative brand

This paper seeks to address the limited understanding of how to operationalise the external brand image of a political brand. More specifically, this research critically assesses the transfer potential of the six variables of brand image by Bosch, Venter, Han and Boshoff to deconstruct the UK Conservative Party brand from the perspective of young people aged 18–24 years during the 2010 UK General Election campaign. This research demonstrates the applicability of the six variables otherwise known as the ‘brand image framework’ to the political environment. However, the application of the brand image framework in its original conceptualisation proved problematic. Many of the brand image variables were clarified, rearticulated and simplified to address the political context. This refined conceptualisation provided an in-depth understanding of how to investigate the political brand image of David Cameron’s Conservative Party. This study addresses the paucity of research that operationalises external brand image and provides practitioners and academics within and beyond the context of political branding a mechanism to understand the external orientation of brands. This research may also be used by political and non-political brands as a basis to explore external brand image and compare its consistency with internal brand identity.     

Residents' place image: a cluster analysis and its links to place attachment and support for tourism

While there is a plethora of studies segmenting the lucrative tourism market, limited attention has been given to identifying potential segments of local residents based on their image of the place they live in as a tourist destination. This study aims to address this gap by (a) clustering local residents of a tourist destination based on their images of that place; and (b) identifying whether those image-based resident groups share similar/different levels of place attachment and intentions toward tourism (support for tourism, intention to recommend it to others). Analysis was based on a sample of 368 residents of Eilat, Israel. The findings suggest the presence of three resident groups with different images of Eilat – called Nature Aesthete, Appreciator, and Critical – and provide support that these groups exhibit dissimilar levels of attachment and intentions/behavior toward tourism. The Appreciator (residents with the most favorable image) were reported exhibiting higher levels of place attachment, support for tourism and were more likely to recommend their place to others as a tourist destination than the Critical (residents with the least favorable image). The implications of these findings to tourism theory and practice are discussed.     

Blockchain for tracking serial numbers in money exchanges

Money exchange is one of the most common day‐to‐day activities performed by humans in the daily market. This paper presents an approach to money tracking through a blockchain. The proposed approach consists of three main components: serial number localization, serial number recognition, and a blockchain to store all transactions and ownership transfers. The approach was tested with a total of 110 banknotes of different currency types and achieved an average accuracy of 91.17%. We conducted a user study in real‐time with 21 users, and the mean accuracy across all users was 86.42%. Each user gave us feedback on the proposed approach, and most of them welcomed the idea.     

A destination imagery processing model: Structural differences between dream and favourite destinations

The present paper aims at understanding how destination imagery is processed in tourists’ working memory. The research focuses on two highly desirable, but contrasting, destination brand categories: Favourite Destination, which involves retrospective memory of positive experiences in situ; and Dream Destination, based on tourists’ prospective memory. Through an online multilingual survey, 23,446 responses consisting of perceptions, evoked by way of free-recall, associated to Dream and Favourite Destinations, were collected. Findings point to clear structural differences between the imagery of Dream and Favourite Destinations. Additionally, a theoretical destination imagery model that offers a basis for future studies is proposed, and some managerial implications of significant relevance to destination marketing are discussed.     

一种经验模式分解下的海杂波小目标检测方法

利用海杂波有效探测海上小目标是目前雷达探测领域的热点问题，具有重要的应用价值。鉴于海杂波是一种非线性非平稳性的雷达回波信号，充分发挥整体平均经验模式分解的优势，将海杂波分解为若干个不同尺度的独立分量。通过研究发现有目标时，分解出的前5个分量与未分解前信号的相关系数明显减小，因此提出了一种新的海杂波背景下的目标检测方法。通过实测和模拟的海杂波数据进行训练和测试，研究结果表明，该方法能有效地实现海杂波下目标的探测，性能优于经典时域下、分数阶傅里叶变换域下以及平均经验模式分解后的广义Hurst指数的目标检测方法。     

剖线强度梯度变化的作物软硬变化区精确划分

[目的]软硬变化区的划分是进行遥感变化检测技术识别农作物的基础。为解决人工判读方法中存在人为主观因素影响以及自动判别和交互式判别方法对不同研究区的适用性问题,该文提出基于剖线梯度变化(Profile based Gradient Change Magnitude,PGCM)进行软硬变化区划分的方法。[方法]该研究选择破碎农业景观种植区域为研究区,计算拔节期Quick Bird影像和播种期模拟影像两个时相的变化强度,从作物地块内部向外绘制剖线,利用剖线强度的梯度变化确定硬变化区(Hard change region,HCR)、软变化区(Soft change region,SCR)和未变化区(Non change region,NCR)3者间的划分阈值。[结果]从识别结果来看,PGCM能够有效在地块边界处探测到软变化像元,进而确定HCR、SCR。像元分辨率在5~60 m不同尺度下,识别HCR区混入比例为11%~16%,混入比例随着分辨率下降而降低;NCR区混入比例为3%~4%,受分辨率尺度影响不大;SCR区识别比例为74%~86%,识别精度较高,识别结果与冬小麦空间分布结果保持一致。[结论]PGCM方法能够自动、便捷地确定阈值,摆脱人工判定的主观性,有效地划分出HCR、SCR和NCR 3个区域,为进一步HCR、SCR区内的作物识别提供基础。     

Network analysis of the Caucasus’ image

Destination image is influenced by many factors, including destination promotion materials, the mass media as a general familiarity agent, the perceivers’ own characteristics and even researchers’ methodological choices. To isolate and minimize the impact of research on destination image, different qualitative and quantitative designs and analysis techniques have been utilized. However, no previous study utilized the network analysis technique, which may be useful to reveal a picture of destination image with the interconnections and hidden dynamisms of dimensions as well as its correlates. The present study applies this technique on qualitative data from an online sample of Americans on their perceptions of a relatively remote and unfamiliar destination, the Caucasus region, in order to hone in on the dramatic impact of mass media on destination image. Results revealed networks of meanings with residue of mass media messages about Boston bombing, with some differences among different genders and education levels.