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This study aims to contribute to the International Business literature by investigating the marketing stimuli that drive impulsiveness and perceived value in mobile shopping (MS) platforms and their impact on consumer response.

This study uses a sample of 891 MS platform users and applies structural equation modeling based on the stimulus–organism–response and the consumption value theory.

The empirical finding revealed that rewards, recognition, reviews and ratings are the most influential factors driving perceived value. In addition, the results indicated that customized offerings and visually appealing experiences were the most critical factors affecting the state of impulsiveness. This study also highlights the negative impact of the ubiquitous nature of MS on impulse buying behavior, emphasizing the importance of providing consumers with tools to make informed decisions. This study demonstrates a significant positive relationship between perceived value and impulsiveness, influencing MS.

This study reveals generational differences in the impact of reviews and ratings on perceived value, which can inform businesses’ MS strategies. The results have implications for managers of international firms seeking to optimize their business strategies.

To the best of the authors’ knowledge, using structural equation modeling, this study is the first to conduct a comprehensive examination of marketing stimuli, impulsiveness and perceived value in MS platforms. It offers businesses strategic insights by identifying rewards, recognition and customized offerings as the key determinants of consumer behavior.

This study aims to form a valid measure and hierarchical framework to achieve corporate sustainability transitions (CSTs).

The fuzzy Delphi method (FDM) is applied to validate and eliminate challenges in sustainability transition regarding qualitative information. Fuzzy interpretive structural modeling (FISM) is used to build a hierarchical framework under uncertainties.

This study finds that technology investment, data management, eco-management and sociospatial embedding challenges are the highest hierarchical framework levels and affect CST.

A lack of awareness and knowledge, a lack of commitment, a lack of strategy, tolerance of unsustainable practices, a lack of stakeholder participation and a fragmented market are perceived as the challenges that show the highest driving and dependence power. These challenges serve as a reference for government and construction firms in the transition to sustainable corporate practices.

Unsustainable corporate practices have caused large amounts of energy consumption, resource depletion and environmental impacts. There are challenges in transitioning to corporate sustainability that must be addressed. The most significant challenges that need to be solved to facilitate the transition to corporate sustainability are identified and arranged in a hierarchical model. By identifying the hierarchical relationships among the challenges, a theoretical framework that extends the existing models is developed to assist decision-makers.