Purpose: This study aims to quantify the associations among employees’ perception of implementing green supply chain management (i.e. through seven variables, namely, internal environmental management, green information systems, green purchasing, tourist perceptions, environmentally friendly activity, employee emotional behavior and environmental legislation) with hotel’s economic and operational performance. Design/methodology/approach: A survey instrument is used to examine the relationships in the proposed model by using the structural equation modeling (SEM) technique. An analysis of the primary data (n = 150) collected from employees in Aqaba hotels located in Jordan is conducted to test the relationship between exogenous and endogenous constructs expressed in the proposed structural model. Findings: The findings revealed that while green information systems, employee emotional behavior and environmental legislation affected hotels’ economic performance, internal environmental management, green purchasing, tourist perceptions and environment-friendly activity did not. Also, hotels’ economic performance positively impacted hotels’ operational performance. However, as the coefficient of determination (R²) for the endogenous research variables for economic performance and operational performance was 0.16 and 0.17, respectively, the relationships between the exogenous and endogenous constructs were not supported. Practical implications: This study will contribute towards a better understanding of employee perceptions of implementing green supply chain management and hotel performance in Aqaba City. Originality/value: This is the first study that adequately covers the associations among employee perception of implementing green supply chain management on hotel’s economic and operational performance in the Middle East.

Although the decision to invest in MICE tourism is tentatively multifactorial, it has been also addressed as being regionally diverse. Thus, this study examines the perspectives of the Jordanian stakeholders on the attributes of the city of Aqaba that would instigate the investment in MICE. The sample of the study comprises 253 stakeholders and uses structural equation modeling for the purpose of examining the effect of destination attributes on the decision to invest on the one hand, and the relationship between exogenous and endogenous constructs of the model on the other hand. The results show a statistically significant and positive correlation between destination attributes, either weak or strong, and decision making although the former tends to augment recognition. Theoretical and managerial implications are also suggested in the study.

This study aims at exploring the impact of events on sustainable regional development. To accomplish the aim of the study, the effects of event awareness, community involvement, and destination attributes on locals’ attitudes were measured, and their motivation to encourage and support holding events was evaluated. Data were collected from 277 residents of Aqaba city through utilizing a fit sampling approach. Results of data analyses show that there are positive effects of event awareness, community involvement, and destination attributes on locals’ attitudes to hosting events and motivations. The results indicate that the events are a major factor in sustainable development through involving the community in decision-making and their actual participation in events. This study contributes to determining the importance of activities and the role of the local community in Sustainable Regional Development (SRD).

The Effect Of Electronic Tourism In Enabling The Disabled Tourists To Communicate With The Touristic And Archaeological Sites Case Study – Jordan

Due to the continuous and rapid expansion of conference tourism and its paramount role in the economic growth of the host countries like Jordan, this study comes to track the geographic distribution of conferences for the years 2014–2016. The main goal of the study is to direct the locations of future conferences to less favored areas that are marginalized and poor. Spatial statistics and Geographic Information System Predictive Modeling (GISPM) are used to calculate the potential locations of conferences based on predefined criteria. The results indicate that the current locations of most of the conferences are concentrated in the northern and middle parts of the country. The GISPM results recommend the eastern and southern locations taking into consideration the socioeconomic development of host communities. The study offers other recommendations addressing managers, event planners, event organizers, conference stakeholders, and the enterprises as well as academic researchers in tourism planning and development.