THE INFLUENCE OF THE TECHNICAL DIMENSION, FUNCTIONAL DIMENSION, AND TENANT SATISFACTION ON TENANT LOYALTY: AN ANALYSIS BASED ON THE THEORY OF PLANNED BEHAVIOR

This study primarily explored the influence of the technical dimension, functional dimension, and tenant satisfaction on tenant loyalty. The theory of planned behavior served as the basis of this study, and the three aforementioned factors (the technical dimension, the functional dimension, and tenant satisfaction) were incorporated into a conceptual framework for tenant loyalty. Structural equation modeling (SEM) was employed for parameter estimation. The participants consisted of tenants residing in eight administrative districts in Kaohsiung City. 315 questionnaires were administered, all of which were returned. After removing 15 invalid responses, there were 300 valid responses, which indicated an effective recovery rate of 95.2%. The results showed that the technical dimension, the functional dimension, and attitude significantly and positively influenced tenant satisfaction. Tenant satisfaction, perceived behavioral control, and social norms significantly and positively influenced tenant loyalty. Tenant satisfaction mediated the influence of the technical dimension and the functional dimension on tenant loyalty; the mediating effect of the functional dimension on tenant loyalty was greater than that of the technical dimension. The findings of this study highlight the measures rental companies should adopt in order to enhance the technical dimension, functional dimension, and tenant satisfaction, as this is crucial to maintaining sustainable operations.

Relationship between the Incidence of Dengue Virus Transmission in Traditional Market and Climatic Conditions in Kaohsiung City

In 2014 and 2015, Southern Taiwan experienced two unprecedented outbreaks, with more than 10,000 laboratory-confirmed dengue cases in each outbreak. The present study was aimed to investigate the influence of meteorological and spatial factors on dengue outbreaks in Southern Taiwan and was conducted in Kaohsiung City, which is the most affected area in Taiwan. The distributed lag nonlinear model was used to investigate the role of climatic factors in the 2014 and 2015 dengue outbreaks. Spatial statistics in the Geographic Information System was applied to study the relationship between the dengue spreading pattern and locations of traditional markets (human motility) in the 2015 dengue outbreak. Meteorological analysis results suggested that the relative risk of dengue fever increased when the weekly average temperature was more than 15°C at lagged weeks 5 to 18. Elevated relative risk of dengue was observed when the weekly average rainfall was more than 150 mm at lagged weeks 12 to 20. The spatial analysis revealed that approximately 83% of dengue cases were located in the 1000 m buffer zone of traditional market, with statistical significance. These findings support the influence of climatic factors and human motility on dengue outbreaks. Furthermore, the study analysis may help authorities to identify hotspots and decide the timing for implementation of dengue control programs.

Factors Affecting the Price of Cost-Equivalent Land: Application of Hierarchical Linear Modeling

This study examined 19 urban land consolidation areas in Kaohsiung City, Taiwan, as well as cost-equivalent lands auctioned off from 2013 to 2019. Hierarchical linear modeling was used for analysis, in which the Level 1b variables pertained to cost-equivalent land and the Level 2 variables pertained to land consolidation areas. According to the empirical results, in terms of the estimation results, there were significant differences between the mean price of each urban land consolidation area. Therefore, HLM is suitable for the subsequent analysis. A total of 76.7% of the differences in the mean land consolidation area price were contributed by the differences between the land consolidation areas. Therefore, it is important to consider the differences generated by the particular features of each area.

Evaluating of the Promotion of Strategic Alliance of Medical Devices Industry with Data Envelopment Analysis

Applying Data Envelopment Analysis to evaluate efficiency in this study, representative enterprises, in major Medical devices industry production areas of Kaohsiung city, with cooperation with institutional consumers are studied. The research results are summarized as below. according to DEA, 1 DMU presents strong Medical devices industry strategic alliance efficiency, 4 DMUs show the Medical devices industry strategic alliance efficiency between 0.9 and 1, and 5 DMUs reveal the Medical devices industry strategic alliance efficiency lower than 0.9. 2. Sensitivity analysis is utilized for analyzing and finding out key factors in Medical devices industry strategic alliance, and the sensitivity to efficiency is understood by gradually removing inputs and outputs for DEA. According to the results to propose suggestions, it is expected to provide actual assistance for Medical devices industry strategic alliance and reinforce the cooperation between corporate groups and institutional consumers through intra-industry alliance and horizontal alliance.

A taxonomic revision of Stanjehughesia (Chaetosphaeriaceae, Sordariomycetes), with a novel species S. kaohsiungensis from Taiwan

Stanjehughesia kaohsiungensis sp. nov. is described from decaying wood submerged in freshwater streams from Taoyuan District, Kaohsiung City, Taiwan. The phylogenetic relationship between Stanjehughesia species was sought among representative taxa from related fungal lineages within Sordariomycetes using LSU sequence data. Molecular data revealed the phylogenetic placement of S. kaohsiungensis is within Chaetosphaeriaceae and distinct from Sporidesmiaceae. While the genus is polyphyletic, a synopsis of morphological characters and a taxonomic key for Stanjehughesia species are provided to ease identification.

Temporal and vertical variations of polycyclic aromatic hydrocarbon at low elevations in an industrial city of southern Taiwan

Considered that human activities mostly occur below building heights, the objective of this study was to investigate the temporal variations of fine particular matter (PM2.5)-associated polycyclic aromatic hydrocarbons (PAHs) and benzo[a]pyrene-equivalent (BaPeq) concentrations at four different elevations (6.1, 12.4, 18.4, and 27.1 m) in Kaohsiung City, the largest industrial city of southern Taiwan. Temperature variation was critical for the PM2.5-associated PAH concentrations, which were dominated by benzo[g,h,i]perylene (0.27 ± 0.04 ng m−3 and 24.43% of the total concentration) and other high molecular weight (HMW) species. The PM2.5-associated BaPeq was dominated by 5-ring PAH (36.09%). The PM2.5-associated PAH and BaPeq concentrations at all elevations were significantly increased in winter. In the night, the correlations between the PM2.5-associated PAH concentrations and atmospheric temperatures became negatively stronger, notably at lower elevations (r = − 0.73 ~ − 0.86), whereas the BaPeq during daytime and nighttime were not changed significantly in most months. The PAHs analysis with different PM sizes demonstrated the importance of smaller particles such as PM2.5. The meteorological variation was more important than elevation to influence the low-elevation PM2.5-associated PAH and BaPeq concentrations in an urban area like Kaohsiung City, as the two concentrations were dominated by the PAHs with HMWs and those 5-ring species, respectively.