Purpose – This paper demonstrates that the recommendations regarding visitor satisfaction and revisit intention reported in the international literature apply to the management of ecolodges in Sri Lanka. Design/Methodology/Approach – Data from 362 self-report questionnaires completed by visitors between January 2014 and January 2015 were analysed by structural modelling using SPSS and AMOS to confirm the significance that reported direct and indirect relationships of the latent factors ecolodge attributes, tourist motives, visitor satisfaction, and revisit intention have for Sri Lankan ecolodges. Findings – Responses of visitors to Sri Lankan ecolodges were like those of ecolodge visitors in other countries. Ecolodge attributes had a strong direct influence on both international tourist motives to visit Sri Lanka and visitor satisfaction. Further, travel motives and satisfaction have a substantial direct influence on tourist intentions to revisit individual ecolodges and hence Sri Lanka more broadly. Originality of the research – Having confirmed that the factors which influence satisfaction and revisit intention of visitors to Sri Lankan ecolodges are consistent with the research findings from other countries, this is the first study to demonstrate that recommendations from the international ecolodge literature are applicable to and can inform the management and sustainability of ecolodges in Sri Lanka.

Abstract:As the demand for ecotourism and nature-based tourism increases, eco-lodges are becoming a popular alternative accommodation choice. Consequently, the development of an ecolodge industry has wider implications for countries such as Sri Lanka, especially when considering the country's high potential for ecotourism and the need to provide alternative forms of accommodation for increasing tourist arrivals. In the Sri Lankan context, the eco-lodge industry still remains relatively undeveloped and the understanding of characteristics of visitors who seek accommodation in ecolodges is limited. In this study, the author distinguished Asian and non-Asian ecotourist market segments visiting ecolodges in Sri Lanka, to enable ecotourism operators and policy makers to better tailor their products to target groups. A survey of 362 ecolodge occupants in 16 selected ecolodges found that the Asian and non-Asian visitor segments differ in terms of travel motivations, their perceptions on various ecolodge attributes, trip characteristics and demographics. However, both age and level of education were found to be strongly related in other studies. The study found that non-Asian ecotourists stay for longer periods by comparison with Asian ecotourists. Seeking novel experiences appeared to be the main motivation of Asian ecolodge occupants, and they typically demanded physically challenging activities. Non-Asians' motivation was friendliness of the people of the host country, followed by visiting nature and learning local customs. The management implications of distinguishing the Asian and non-Asian market segments are discussed.

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The aim of this study is to examine the impact of product variety and product complexity on firm's operational performance when they are operating in a globally connected green supply chain. A survey utilizing a self-administered structured questionnaire was used to collect data from 161 frontend merchandisers of apparel manufacturing firms in Sri Lanka. The results indicate that the relationship between product variety and operational performance is fully mediated by green supply chain management while the relationship between product complexity and operational performance is partially mediated by green supply chain management. Thus, organisations that operate dynamic product portfolios (i.e., a variety of complex products) need green supply chain management practices to improve operational performance. This study emphasises the complementary application of the resource based view with coordination theory to explain how resources of the firm should be allocated and coordinated with regard to variety and complexity.