Destination marketing research: issues and challenges.

2011 ◽  
pp. 99-112 ◽  
Author(s):  
M. Uysal ◽  
R. Harrill ◽  
E. J. Woo
Keyword(s):  
Marketing Research ◽  
Destination Marketing ◽  
Research Issues

scholarly journals Web 2.0 and Destination Marketing: Current Trends and Future Directions

2020 ◽  
Vol 12 (9) ◽  
pp. 3771 ◽  
Author(s):  
Marcello Mariani
Keyword(s):  
Web 2.0 ◽  
Effective Means ◽  
Marketing Research ◽  
Cost Effective ◽  
Research Area ◽  
Research Field ◽  
Future Research ◽  
Destination Marketing ◽  
Web 2.0 Technologies ◽  
Future Directions

Over the last decade, destination marketers and Destination Marketing Organizations (DMOs) have increasingly invested in Web 2.0 technologies as a cost-effective means of promoting destinations online, in the face of drastic marketing budgets cuts. Recent scholarly and industry research has emphasized that Web 2.0 plays an increasing role in destination marketing. However, no comprehensive appraisal of this research area has been conducted so far. To address this gap, this study conducts a quantitative literature review to examine the extent to which Web 2.0 features in destination marketing research that was published until December 2019, by identifying research topics, gaps and future directions, and designing a theory-driven agenda for future research. The study’s findings indicate an increase in scholarly literature revolving around the adoption and use of Web 2.0 for destination marketing purposes. However, the emerging research field is fragmented in scope and displays several gaps. Most of the studies are descriptive in nature and a strong overarching conceptual framework that might help identify critical destination marketing problems linked to Web 2.0 technologies is missing.

Stakeholder Involvement in Destination Marketing: A Network Analysis of two Destinations in Vietnam

2021 ◽  
Vol 27 (1) ◽  
pp. 189-203
Author(s):  
Thi Quynh Trang Nguyen ◽  
Xuan Dam Dong ◽  
Thang Ho
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Stakeholder Involvement ◽  
Marketing Research ◽  
Primary Data ◽  
Destination Marketing ◽  
Business Units ◽  
Important Approach ◽  
Marketing Network ◽  
Internal Stakeholders

Purpose –This paper aims to identify the stakeholders involved in tourism destination marketing networks. The involvement and collaboration of multiple individuals and organisations is widely recognised in destination marketing to promote a destination. Internal stakeholders of a destination and their collaboration are frequently studied in destination marketing research, but little attention is paid to the involvement of external stakeholders. Design/Methodology/Approach – Quantitative social network analysis is an important approach to understanding stakeholder connections and roles in tourism destinations. In this paper, this analysis was conducted using primary data collected from social network surveys in Da Nang and Hue, two local destinations in central Vietnam. Sixty-nine questionnaires were collected in Da Nang, and 60 questionnaires in Hue. The network data were each analysed separately using UCINET software. Findings – The results show the involvement of different stakeholders in marketing activities in these local destinations. Most of the marketing networks of Da Nang and Hue consist of business units. While the Da Nang marketing network focuses on critical stakeholders and fundamental business firms with strong financial resources and big brands, the Hue marketing network includes more diverse stakeholders and more significant participation of small and medium local firms. Originality of research – This research found the participation of national and international stakeholders located outside the two destinations studied in their marketing network. Their involvement was identified through their collaborative relationships with the DMOs and internal stakeholders of the two destinations to promote the destinations nationally and internationally.

A marketing research tool for destination marketing organizations' logo design

2016 ◽  
Vol 69 (11) ◽  
pp. 5022-5027 ◽  
Author(s):  
Hugues Séraphin ◽  
Michele Ambaye ◽  
Vanessa Gowreesunkar ◽  
Valérie Bonnardel
Keyword(s):  
Marketing Research ◽  
Research Tool ◽  
Destination Marketing ◽  
Logo Design

Scanning tunneling microscopy of polymers: A status report

1989 ◽  
Vol 47 ◽  
pp. 330-331
Author(s):  
P.E. Russell ◽  
I.H. Musselman
Keyword(s):  
High Resolution ◽  
Scanning Tunneling Microscopy ◽  
Sample Surface ◽  
Atomic Scale ◽  
Constant Current ◽  
Scanning Tunneling ◽  
Status Report ◽  
Tunneling Microscopy ◽  
Research Issues ◽  
Wide Range

Scanning tunneling microscopy (STM) has evolved rapidly in the past few years. Major developments have occurred in instrumentation, theory, and in a wide range of applications. In this paper, an overview of the application of STM and related techniques to polymers will be given, followed by a discussion of current research issues and prospects for future developments. The application of STM to polymers can be conveniently divided into the following subject areas: atomic scale imaging of uncoated polymer structures; topographic imaging and metrology of man-made polymer structures; and modification of polymer structures. Since many polymers are poor electrical conductors and hence unsuitable for use as a tunneling electrode, the related atomic force microscopy (AFM) technique which is capable of imaging both conductors and insulators has also been applied to polymers.The STM is well known for its high resolution capabilities in the x, y and z axes (Å in x andy and sub-Å in z). In addition to high resolution capabilities, the STM technique provides true three dimensional information in the constant current mode. In this mode, the STM tip is held at a fixed tunneling current (and a fixed bias voltage) and hence a fixed height above the sample surface while scanning across the sample surface.

D-test: A New Test for Analyzing Scale Invariance Using Symbolic Dynamics and Symbolic Entropy

Methodology ◽  
2011 ◽  
Vol 7 (3) ◽  
pp. 88-95 ◽  
Author(s):  
Jose A. Martínez ◽  
Manuel Ruiz Marín
Keyword(s):  
Symbolic Dynamics ◽  
Scale Invariance ◽  
Rating Scales ◽  
Rating Scale ◽  
Marketing Research ◽  
Response Patterns ◽  
Measurement Scales ◽  
Improve Measurement ◽  
Entropy Measures ◽  
The Difference

The aim of this study is to improve measurement in marketing research by constructing a new, simple, nonparametric, consistent, and powerful test to study scale invariance. The test is called D-test. D-test is constructed using symbolic dynamics and symbolic entropy as a measure of the difference between the response patterns which comes from two measurement scales. We also give a standard asymptotic distribution of our statistic. Given that the test is based on entropy measures, it avoids smoothed nonparametric estimation. We applied D-test to a real marketing research to study if scale invariance holds when measuring service quality in a sports service. We considered a free-scale as a reference scale and then we compared it with three widely used rating scales: Likert-type scale from 1 to 5 and from 1 to 7, and semantic-differential scale from −3 to +3. Scale invariance holds for the two latter scales. This test overcomes the shortcomings of other procedures for analyzing scale invariance; and it provides researchers a tool to decide the appropriate rating scale to study specific marketing problems, and how the results of prior studies can be questioned.

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