Impact of service quality and corporate image on satisfaction and loyalty behavioral intention are explored by using the PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis for the exhibition industry. Service quality has a significant enhancing effect on the corporate image of the trade exhibitions, and both have significant positive effects on exhibitor satisfaction. Also, the role of the image as a partial mediating variable between service quality and satisfaction is emphasized. Additionally, the results obtained from multi-group analysis also supported the hypothesis that corporate image and service quality bring different satisfaction responses in exhibitors of the different industry with 4 business sizes in the capital. In light of scale and types of the enterprises for trade shows market, price segmentation strategies should be offered to maintain satisfaction and loyalty from the SMEs. Service quality and image of the service-offering company are more emphasized by big enterprises in choosing the trade organizer. Multiple group analysis also considered categorizing the specific industrial enterprises. The organizer can apply the result to explore workable market strategies to meet the needs of business partners with different capital size. This research not only has avail for trade exhibition organizers but provides necessary theory-based research in the trade exhibition territory.
Sustainable competitiveness is at the core of effective organizational management. However, the interpretation of the concept of competitiveness is quite divided, especially for organizations that are positioned as social enterprises and must bear profits and losses. In this context, we used the PLS-SEM method to discuss the impact of business policies on organizational resource management and select the Taiwanese farmers’ associations for analysis. According to the resource-dependent model, we selected the corresponding variables from the existing operational competition indicators to represent the four major business sectors of these associations. The main contribution of this study is that through expert opinion, the evaluation indicators of the existing business performance competition can be integrated to define the competitiveness of farmers’ associations. We also used the fuzzy C-means method cluster analysis to effectively divide 279 farmers’ associations into six groups according to “population, land, and industry”. It is possible to evaluate the competitiveness of the departments and business policies of the farmers’ associations in different groups according to the performance of their departments. Presenting the differences in business policies will help the government implement effective counseling services between regions. Competitiveness based on the performance of the main functions significantly affects the business execution, asset allocation, marketing, and sales activities of the farmers’ associations. This article clearly points out that an organization may achieve a competitive business objective by taking stock of its own operating and financial conditions. This is also true for non-profit social enterprises.
Developing rural tourism is a comprehensive strategy for improving the rural economy. The Structure Equation Model (SEM) approach was applied to test how attraction and experiential values of a rural region affect the tourists’ satisfaction and their decision to revisit. After interviewing 353 tourists during their trip to Hakka County, Miaoli, Taiwan, the new finding of this study is that rural life and culture are more attractive than rural scenery to tourists. This implies a strong preference for tourists to experience agricultural knowledge and engage with rural life and farming work. Furthermore, the experiential response generated from the indirect mediation effect of satisfaction had a significant effect, supporting the concept that satisfaction brings additional experiential values to the intentions of tourists to revisit and thus creates more revisit opportunities to those tour sites.
The purpose of this study is to apply the assurance region (AR) concept to restrict the range of input-output weights with expert opinions in the data envelopment approach (DEA). Opinions from 34 experts were collected by a questionnaire in order to rank the importance of cost and revenue sources and measure the influence of business factors with the fuzzy analytic hierarchy process (FAHP). This article suggests that a DEA with AR specification in variable weights can present realistic results to measure and rank the performance of twenty meat auction companies (MAC) in Taiwan. We categorise MACs into four groups by decomposing their two revenue sources with auction and slaughter priority and recommend the managerial strategies for each group to improve operational efficiency. This consideration is more critical for small samples or industries that are close to the spatial competitive market structure.<br />
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