Tafazal Kumail’s research while affiliated with Nankai University and other places

This study examines the relationship between tourism development, green technological innovation, and CO2 emissions in Asia's top tourist destinations from 1990 to 2022. It uses advanced statistical methods like CS-ARDL and Dumitrescu-Hurlin causality tests to explore the environmental impacts of tourism growth and technological change. Key findings reveal that while tourism and technological advancements initially increase CO2 emissions, they ultimately contribute to reductions when a certain innovation threshold is surpassed, supporting the Innovative Claudia Curve Theory. The research highlights significant regional variations in green technological innovation, underscoring the importance of tailored sustainable tourism strategies. This study contributes to understanding sustainable tourism development in Asia, emphasizing integrating green technology into tourism practices for effective climate change mitigation. The study's findings underscore the critical importance of data-driven policymaking in advancing global efforts toward sustainable tourism, demonstrating how informed strategies can effectively respond to the challenges posed by climate change.

The present study applies Game Theory to study public investment at tourist destinations to determine the ‘best action’ for tourist destinations in competitive scenarios. This study proves that the higher the probability that the public sector of the destination will invest in tourism promotion, the greater the expected financial benefits for the destination. Furthermore, the research results show that the higher the probability of tourists traveling to the destination, the greater the expected financial return for the Destination’s Public Sector (DPS) investing. Notably, the findings prove the positive impact of reducing information asymmetry between tourists and destinations. Results from applying Game Theory to the tourist industry show that spending on advertising may be motivated by more than just increasing visitor numbers. Finally, this article’s main contribution is offering a theoretical-mathematical framework applicable to any tourist destination.

The existing literature acknowledges the implementation of ambidexterity at the firm level or within specific functional domains as a means to enhance new product innovation performance. However, the understanding of how ambidexterity can be achieved within the marketing function, referred to as market ambidexterity, and its impact on new product innovation outcomes remains limited. This study bridges this gap by integrating theoretical insights from inside-out and outside-in strategic perspectives, as well as contextual and within-functional ambidexterity literature. It proposes that two crucial marketing capabilities, namely inside-out and outside-in, play a vital role in fostering market ambidexterity, which subsequently improves new product innovation outcomes. Grounded in the specific context of emerging economy firms, the proposed model is empirically validated using data gathered from 292 manufacturing firms in Pakistan. The results show that both inside-out and outside-in marketing capabilities individually have an inverted U-shaped relationship with market ambidexterity. However, when these capabilities synergize, they significantly positively influence market ambidexterity, which in turn positively influences new product innovation outcomes. These findings have important implications for both theoretical understanding and practical application.

The research paper aims to examine the role of online destination image as communicated through various online tourism-related platforms and its impact on e-satisfaction of international tourists visiting Jordan. The questionnaire was distributed to international tourists in Jordan hotels of capital city Amman. A total of 300 international tourists completed a survey that was conducted at Jordan hotels of capital city Amman. Using structural equation modeling (SEM) technique, confirmatory Factor Analysis (CFA) was performed to examine the reliability and validity of the measurement, and the structural equation modeling techniques (Amos 20.0) were used to evaluate the casual model. Results of the study demonstrate the strong predictive power and explain of E-satisfaction of international tourists. The results of study found that the privacy and security, customization, value of information, and ease of use have a significant positive and direct impact on E-satisfaction (H2, H3, H6, and H8). While, website design, information availability, reliability, and interaction quality have insignificant positive and direct impact on E-satisfaction (H1, H4, H5, and H7).

Purpose This study aims to analyze tourism development's (TOD) role in demoting income inequality in South Asia from 1996 to 2020. To this end, this study explored the connection between TOD, tourism investment, economic growth (GDP), trade globalization (TGL) and income inequality. Design/methodology/approach This study used various techniques, including cross-sectional dependence, unit root, cointegration techniques, long-term elasticity estimators and short-term causality between the study variables. This study adopted Driscoll–Kraay standard errors and Dumitrescu Hurlin panel causality estimations. Findings This study’s results reveal that tourism has an inverted U-shaped association with income inequality in the long run, which supports the Kuznets Curve hypothesis. In contrast, capital investment in tourism (CIT) has a significant negative association with income inequality. At the same time, growth and TGL positively and significantly affect income inequality. Moreover, TOD has a bidirectional feedback causality of income inequality. These results also support tourism's “price effect” on income inequality. Hence, this study provides more practical implications regarding policymaking in tourism and income inequality in developing economies to target Agenda 2030. Originality/value This study is unique by considering the cross-sectional dependence in estimating the model that has been ignored in previous studies and provides new insights into the existing literature by investigating how TOD and CIT contribute to income inequality concentrating on the understudied South Asian economies from 1996 to 2020. As a result, this study has more practical implications for policymaking in the tourism industry and income inequality in emerging economies.

This study explores the impact of internal design and external physical environment of museums on visitors’ satisfaction. This study collected primary data in May-June 2019 through a questionnaire survey given to 285 visitors at the top five museums in Sharjah, UAE – Sharjah Museum of Islamic Civilization, Sharjah Museum of the Line, Sharjah Museum of Art, Sharjah Museum of Antiquities and Sharjah Aquarium. Inferences are drawn using Structural Equation Modeling (SEM) based on Smart PLS software. Findings reveal that some of the internal museum environments such as temperature, scent, colors, layout & method of display, and some of the exterior environments such as exterior decor signage, surroundings environment, entrance and museum facade, are statistically significant for shaping visitors’ satisfaction. The findings will help policy-makers and museum administrators around the world, particularly in Sharjah, to design ideal internal and external physical environments of museums so that more holidaymakers visit them.