scholarly journals Trust through Transparency? How Journalistic Reactions to Media-Critical User Comments Affect Quality Perceptions and Behavior Intentions

2022 ◽  
pp. 1-21
Author(s):  
Fabian Prochazka ◽  
Magdalena Obermaier
2022 ◽  
pp. 60-79
Author(s):  
Suja Ravindran Nair

COVID-19 has greatly disrupted lives and affected buying behavior of individuals. Countries were forced to impose lockdowns, alongside the practices of wearing masks, social distancing and hygiene have become the ‘new normal'. This situation forced consumers to re-work shopping habits, modify food patterns, develop healthy eating and online shopping behavior. With multiple waves of COVID-19 engulfing countries, pandemic effects are here to stay, suggesting food marketers explore the continuity of healthy food consumption with futuristic behavioral intention. For this purpose, this study uses a behavioral model perspective built upon the theory of planned behavior. A general review of the literature on food choice behavior is used. The literature review shows an integrated framework indicating linkages between the antecedents, consumers' behaviors, and behavior intentions/consequences from a sustainable behavioral model perspective.


2013 ◽  
Vol 411-414 ◽  
pp. 2873-2878
Author(s):  
Chien Liang Kuo ◽  
Yen Te Wu ◽  
Chiao Ling Hsu

The purpose of this study is to test the moderating effect of usage experience on antecedents and consequences to teachers’ intention of using mobile devices on e-learning context in primary and secondary schools. A survey (n=389) on teachers of elementary schools and junior high schools in Taiwan was conducted. According to the data, the simplified technology acceptance model (TAM), together with the proposed external and internal factors, performs well in determining teachers’ intention of technology acceptance under the given context. Our data also shows different relationships among antecedents, perceptions, and behavior intentions for teachers with more usage experience and those with less usage experience.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sohail Raza Chohan ◽  
Guangwei Hu ◽  
Asad Ullah Khan ◽  
Ahmad Tisman Pasha ◽  
Muhammad Atif Sheikh

Purpose The purpose of this paper is to describe the application of design and behavior science collectively in refining the government to citizens’ (G2C) cognitive-communication by using artificial intelligence (AI) artifacts. It investigates the citizens’ behavior intention to use AI cognitive-communication channels in e-government services. Design/methodology/approach This study reveals the potential of unification in design and behavior science paradigms when integrated into AI artifacts in measuring the constructive outcome of proposed architecture that embraces the perceived risk and trust in citizens’ usage behavior intentions. To evaluate the practical relevance of design science paradigm, action research was incorporated by developing an app as an exemplified scenario. Findings The weaknesses of traditional G2C channel communication obliterated by AI virtual agents. This study proposes a five-layer architecture model created with citizens-centered design highlighting the improved relevance for G2C cognitive-communication. The behavior model supports citizens’ usage behavior intentions through trust as a positive attribute and negative attribute as a perceived risk. Research limitations/implications This study contributes to the knowledge of design science paradigm particularly to AI-based cognitive G2C communication. The architecture serves for deploying virtual agents to automate the public officials for decision-making processes. The authors have constructed a cognitive-communication model and have examined the relationships among the extents of cognitive-communication model. This channel has the potential to significantly transform G2C cognitive and intelligent communication. Practical implications This cognitive-communication channel has the potential to significantly transform the communication between government and citizens. Such a model can be an interest of developers, researchers and government policymakers in a holistic approach drawn from theory and methods of both design and behavior science to create a successful communication scenario. Social implications Advances in technology are not without social implications. The study results can dramatically improve the efficiencies of government workplaces and can augment the human working. It will help to reduce the government services discriminations among the citizens and contribute to society through social inclusion. Originality/value This study addresses the duality in information system research by first defining the theoretical framework for G2C cognitive-communication architecture and then developing a research model drawn upon a citizens’ service usage behavioral theory. It will also contribute to providing important perceptions of AI practices in the public sector.


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