Sustainable tourism has emerged as a growing tourism facet in recent years, gaining acceptance among tourism developers and stakeholders; as a tourism development model that is economically viable, socially acceptable, and environmentally friendly. Nonetheless, tourism development faces numerous challenges, including displacement of people, cultural commercialization, organic dilapidation, and economic dependency resulting from social-economic development. As a result, many countries have begun to embrace long-term sustainable tourism development goals, an essential component of achieving Vision 2030. Therefore, this paper propagates the discussions surrounding corroboration approaches, tourism infrastructure, stakeholders' role, and government policies' influence on sustainable tourism development. To support its thesis, the paper develops a conceptual framework to guide tourism practitioners and other stakeholders in understanding and dissecting sustainable tourism models and knowledge. The findings emphasize stakeholders’ collaboration framework, the need for adequate and supportive tourism infrastructure, and the foundational basis of public-private initiatives to enhance tourism growth.
Tour operators have ensured the success of the Kenyan tourism sector, poised to contribute to achieving key government economic policies like the Tourism Agenda 2018-2022, the National Tourism Blueprint 2030, and the Big-Four Agenda. However, due to the volatility of the tourism industry, stiff competition, rigid tourism policies, and pandemics, tour operators’ performance has recorded a 2% steady decline since 2011. Therefore, this paper explores the upscaling of performance using a differentiation strategy among tour operator companies in Nairobi City County. The study followed a descriptive design approach, with the balanced scorecard and Porter’s generic strategies forming the theoretical basis. Fifteen (15) company owners and 210 managers participated in the study. Data were collected using structured questionnaires and interviews. Stratified simple random sampling was used to sample respondents from the companies while purposive sampling was used to select company owners. Data collected were analyzed in SPSS (Ver.26) using descriptive statistics to infer variable characteristics. Inferential statistics; Pearson correlation, ANOVA, and simple linear regression were used to detect the strength of the relationship and test the hypothesis. Correlation analysis revealed a strong positive relationship between differentiation strategy and organizational performance (r=0.77, P=0.000), leading to the rejection of the null hypothesis. Regression analysis revealed an adjusted R2(0.602) indicating that differentiation strategy explains 60.2% of organizational performance’s variation (b=0.594, P=.000). The study recommends that tour operator companies should develop innovative packages based on place and price and significantly invest in R&D to enhance a strong brand for optimal performance. This study provides policymakers with an avenue to scrutinize levels of organizational performance using a strategic management approach.
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