Nicholas J. Goetzfridt and Mark C. Goniwiecha
Micronesia, a term that means “small islands,” refers to a region of Western Pacific islands scattered across an area of the Pacific Ocean larger than the continental United…
Abstract
Micronesia, a term that means “small islands,” refers to a region of Western Pacific islands scattered across an area of the Pacific Ocean larger than the continental United States (see figure 1). This vast area, located in the tropics almost entirely north of the Equator, covers more than 4,500,000 square miles of ocean and includes more than 2,100 palm tree‐studded islands, islets, and coral atolls. Yet its total land area is fewer than 1,200 square miles—only slightly larger than Rhode Island (see figure 2). Only about 125 of the islands are inhabited on a permanent basis, by some 350,000 people.
While still rare, the number of women who have held or are holding the most senior positions of political leadership serving as either prime ministers or presidents of their…
Abstract
While still rare, the number of women who have held or are holding the most senior positions of political leadership serving as either prime ministers or presidents of their countries has nevertheless risen steadily since 1960 when Sirimavo Bandaranaike of Sri Lanka took office. This paper profiles select number of female political leaders worldwide and examines relationship between leadership and management in the context of the global community. Women’s access to the highest political offices is used as a prism through which the continuing dilemma of women’s representation at the highest levels of public life is examined. The importance of the specificity of the socio‐historical and cultural contexts in leadership is emphasized.
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Tung-Sheng Wang, Austin Rong-Da Liang, Chia-Chun Ko and Jie-Heng Lin
The objective of this study is to investigate the impact of geographical labeling (GL) and place of origin on consumers' perceived tea quality and purchase intention, as well as…
Abstract
Purpose
The objective of this study is to investigate the impact of geographical labeling (GL) and place of origin on consumers' perceived tea quality and purchase intention, as well as to analyze the moderating effects of traditional tea processing methods and the price of tea.
Design/methodology/approach
This study conducts two experiments by combining a simulated scenario with a questionnaire; overall, 383 and 678 valid samples were collected, respectively.
Findings
(1) The existence of GL is extremely important and will give consumers the perception of higher tea quality resulting in higher purchase intention. The tea’s production method and geographic location are strongly correlated. Thus, whether the tea is produced with traditional methods has a moderating effect on the place of origin, GL, and consumer response in study 1. (3) Different tea pricing has a moderating effect on the place of origin/GL and consumer response in study 2.
Originality/value
This study demonstrates the relationship between consumers' perception of tea GL, and their response helps to identify the difference between Eastern and Western tea culture, which can be used to help promote and market tea leaves. Multiple clues show a complementary effect between the place of origin and the GL on tea packaging. In addition, perception of the tea craftsmanship from the place of origin (long-term) and the price manipulation (short-term) have a moderating effect, which can be used to improve tea marketing design in academia and in practice.
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Abstract
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Nguyen Thanh Viet, Denver Banlasan and Do Tien Sy
Adequate, reliable, and efficient urban infrastructure systems (UIS) are fundamental to sustainable development, social mobility, and economic vitality. As communities…
Abstract
Adequate, reliable, and efficient urban infrastructure systems (UIS) are fundamental to sustainable development, social mobility, and economic vitality. As communities continuously rely on basic infrastructure services to support their daily communal functions, major components of UIS are subject to heavy use, and thus rapidly deteriorate over time; hence, it is critical that efficient infrastructure management strategies practices are in place. As current strategies remain confronted with various limitations including adaptability to changing conditions, lack of public engagement, and cost-effectiveness, this study explores social media data mining as an approach to revitalise and support current urban infrastructure monitoring strategies by extracting valuable insights from public opinion. Twitter messages or ‘Tweets’ pertaining to public infrastructure in The Philippines were collected and analysed to identify recurring issues in public infrastructure, emerging topics in public discussions, and the overall perception of the public on infrastructure services. This study presents a topic model that extracts dominant topics from aggregated social media data and a sentiment analysis model that determines public opinion sentiment in relation to different urban infrastructure components. The findings of this study highlight the potential of social media data mining to surpass the limits of conventional data collection techniques and the importance of public opinion as a key driver for a more user-involved decision-making in infrastructure management and as an important social aspect that can be utilised to support planning and response strategies in routine maintenance, preservation, and improvement of UIS.
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Franziska Leutner, Reece Akhtar and Tomas Chamorro-Premuzic
Franziska Leutner, Reece Akhtar and Tomas Chamorro-Premuzic
Babitha Philip and Hamad AlJassmi
To proactively draw efficient maintenance plans, road agencies should be able to forecast main road distress parameters, such as cracking, rutting, deflection and International…
Abstract
Purpose
To proactively draw efficient maintenance plans, road agencies should be able to forecast main road distress parameters, such as cracking, rutting, deflection and International Roughness Index (IRI). Nonetheless, the behavior of those parameters throughout pavement life cycles is associated with high uncertainty, resulting from various interrelated factors that fluctuate over time. This study aims to propose the use of dynamic Bayesian belief networks for the development of time-series prediction models to probabilistically forecast road distress parameters.
Design/methodology/approach
While Bayesian belief network (BBN) has the merit of capturing uncertainty associated with variables in a domain, dynamic BBNs, in particular, are deemed ideal for forecasting road distress over time due to its Markovian and invariant transition probability properties. Four dynamic BBN models are developed to represent rutting, deflection, cracking and IRI, using pavement data collected from 32 major road sections in the United Arab Emirates between 2013 and 2019. Those models are based on several factors affecting pavement deterioration, which are classified into three categories traffic factors, environmental factors and road-specific factors.
Findings
The four developed performance prediction models achieved an overall precision and reliability rate of over 80%.
Originality/value
The proposed approach provides flexibility to illustrate road conditions under various scenarios, which is beneficial for pavement maintainers in obtaining a realistic representation of expected future road conditions, where maintenance efforts could be prioritized and optimized.
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Catherine L. Bachleda and Asmae Bennani
The purpose of this paper is to explore the relationship between personality and interest in the visual arts in a sample of Moroccan workers.
Abstract
Purpose
The purpose of this paper is to explore the relationship between personality and interest in the visual arts in a sample of Moroccan workers.
Design/methodology/approach
Data were gathered from 210 respondents to an online survey.
Findings
Results indicate that interest in the visual arts is associated with openness and sensation seeking, even after controlling for income and education.
Practical implications
This study suggests that to increase consumption of visual arts products or experiences, arts marketers should focus on the personality traits of openness and sensation seeking rather than the demographic variables of income and education.
Originality/value
Results extend conclusions about openness and interest in the visual arts to a non-student sample and extend the importance of sensation seeking to visual art interests as opposed to visual art preferences and art judgement. This study also represents the first empirical examination of interest in the arts in Morocco.
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Franziska Leutner, Reece Akhtar and Tomas Chamorro-Premuzic