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Article
Business
Yogesh K. Dwivedi et al.
Summary: This study examines how the usage of enterprise social media (ESM) improves decision-making effectiveness, and subsequently enhances organizational performance in terms of operations and social impact during times of environmental disruption. The mediating roles of organizational agility, ESM infrastructure, and knowledge sharing in the relationship between ESM usage and decision-making effectiveness are also investigated. The findings confirm that ESM usage indirectly affects decision-making effectiveness, ultimately leading to improved operational and social performance. Organizational agility and ESM infrastructure play strong mediating roles, while the mediating effect of knowledge sharing through ESM is weaker.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Jenna Jacobson et al.
Summary: The research shows that animal social media influencers mainly utilize affective and cohesive strategies instead of interactive strategies. While most influencers engage in social media advertising by sharing brand-related posts, their feeds do not overly emphasize advertising messages.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
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Hisashi Masuda et al.
Summary: This study examines the importance of parasocial relationships between social media influencers and followers in purchase intention, finding that PSR has a significantly positive impact on purchase intentions. Additionally, personal attributes, characterizations, and influencer types play important roles in the formation of PSR.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Michael Roe et al.
Summary: The paper explores the smart store experience and its associated changes in the retail service sector. It highlights the importance of IoT security as a major challenge for businesses and emphasizes the need for a secure data-sharing IoT environment that respects customer privacy.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Sook Fern Yeo et al.
Summary: Technological advancements, especially in online social networking platforms like Instagram, have been driving changes in consumer behavior, particularly in the fashion industry. The perceived emotional value, quality, and eWOM play significant roles in influencing fashion shoppers' purchase decisions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Khaled Saleh Al-Omoush et al.
Summary: This study examines the impact of Arab cultural values on consumer adoption of social commerce (s-commerce). Data were collected from 528 participants through an online questionnaire, and structural equation modeling was used to test the research hypotheses. The findings show that collectivism and masculinity cultural values have a significant positive impact on s-commerce adoption, while uncertainty avoidance also has a significant impact. Additionally, the study reveals that perceived value mediates the relationship between word of mouth and s-commerce adoption.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Eugene Cheng-Xi Aw et al.
Summary: This study examines the role of digital voice assistants in enhancing consumer shopping experiences. The research model includes human-like attributes, technology attributes, and contextual factors as antecedents to the continued usage of these assistants. The findings suggest that human-like and technology attributes significantly impact parasocial interactions and smart-shopping perception, which in turn foster AI-enabled customer experience.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Anshuman Sharma et al.
Summary: The exponential growth of mobile phone usage has led to the increased usage of digital advertising. However, excessive digital advertising may trigger consumers' annoyance and raise concerns about advertising effectiveness. This study finds that advertising value has a stronger effect on purchase intention than attitude toward advertising, and advertising irritation significantly reduces overall advertising effectiveness. These findings can help advertisers improve their strategies for digital advertising.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Xiaonan Wang et al.
Summary: Based on the analysis of 2555 valid questionnaires collected from 16 districts in Shanghai, this study found that subjective norms, perceived behavioral control, perceived effectiveness of grass-roots governance, and information publicity had different effects on waste separation behavior in residents. Additionally, the study identified the importance of spatial differentiation and driving mechanisms in waste separation behavior.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Muhammad S. Akram et al.
Summary: This study investigates the relationship between perceived brand globalness and user engagement on global social networks. The results show that perceived brand globalness significantly influences user engagement, and this relationship is mediated and moderated by user identification and global identity.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Abdullah M. Baabdullah et al.
Summary: This study aims to examine the main factors that shape customers' virtual flow experiences with AI-powered chatbots. The results show that readability, transparency, personalisation, responsiveness, and ubiquitous connectivity play significant roles in shaping the virtual flow experience.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Janarthanan Balakrishnan et al.
Summary: This study examines the relationship between chatbot-based service continuance intention and social self-efficacy. The findings suggest that perceived intelligence and anthropomorphism play a greater role in building attitude and continuing intention of using chatbot-based services compared to traditional factors. Additionally, system factors are negatively associated with continuation intention when interacting with social self-efficacy.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Parisa Maroufkhani et al.
Summary: This study aimed to identify the mechanism through which users of voice assistants develop reuse intention and loyalty, and analyze how brand credibility influences the overall perceived value. The findings indicated that perceived privacy risk was the most significant factor impacting consumers' overall perceived value. Moreover, brand credibility moderated the relationship between perceived privacy risk and overall perceived value. Additionally, the study discovered a significant and positive relationship between brand loyalty and continued usage of voice assistants.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Rama Prasad Kanungo et al.
Summary: Excessive reliance on digital consumption is compromising individuals' rationality, maturity, and autonomy, leading to digital harm. This study offers insights into how such harm can be mitigated through the application of Self-determination theory and Agentic theory.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Mohina Gandhi et al.
Summary: This study models the features of Firm-Generated Content (FGC) on social media platforms and offers post design strategies for effective communication. It provides insights for future directions in social media research.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Kumari Anshu et al.
Summary: This study examines the influence of barriers to value co-creation on consumers' resistance behavior in the online B2C retailing context, and the moderation effect of the dimensions of the DART model. The study findings contribute to the literature on consumers' resistance behavior and provide insights for marketers to enhance value co-creation and reduce resistance behavior in online shopping.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Information Science & Library Science
Xuequn Wang et al.
Summary: This study examines the impact of chatbot-enabled agility on customer service performance and explores the antecedents from the perspective of information technology use. The results show that both routine and innovative use of chatbots are positively related to internal and external agility, and internal and external agility are positively related to customer service performance. The study provides valuable insights into the role of AI in creating business agility.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Information Science & Library Science
Yogesh K. Dwivedi et al.
Summary: The metaverse has the potential to revolutionize the way we work, leisure, and interact socially by extending the physical world using augmented and virtual reality technologies. Although there are currently limitations in technology and infrastructure, researchers are increasingly studying the transformative impact of the metaverse on various sectors, including marketing, education, and healthcare, as well as potential societal issues.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Business
Anjala S. Krishen et al.
Summary: The widespread adoption of digital technologies and online social networks has transformed marketing strategies, enabling more objective, relational, and interactive techniques. Innovative devices and data-driven marketing in digital advertising offer wider and more efficient reach. Research on interactive digital marketing is tracked through computational techniques, contributing to this interdisciplinary field.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Information Science & Library Science
Yogesh K. Dwivedi et al.
Summary: The use of internet and social media has transformed consumer behavior and business practices for companies. Social and digital marketing present significant opportunities such as cost reduction, increased brand awareness, and higher sales, but are also accompanied by challenges like negative electronic word-of-mouth and intrusive online brand presence.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
Article
Information Science & Library Science
Eunyoung (Christine) Sung et al.
Summary: The study demonstrates that the quality of AI associated with augmented objects enhances consumer immersion in mixed reality, leading to increased engagement and positively influencing purchase intentions and intentions to share experiences with social groups.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
Article
Information Science & Library Science
Yogesh K. Dwivedi et al.
Summary: The development of artificial intelligence technology has the potential to significantly impact various industries and society as a whole. Industries ranging from finance to healthcare may be disrupted by AI technologies, and it is important to recognize the societal and industrial influence on the pace and direction of AI development.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
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Information Science & Library Science
Yogesh K. Dwivedi et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2020)
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Zeeshan Ahmed Bhatti et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2020)
Review
Business
Jennifer J. Argo et al.
JOURNAL OF RETAILING
(2020)
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Hyoryung Nam et al.
JOURNAL OF INTERNATIONAL MARKETING
(2020)
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Psychology, Multidisciplinary
Mahmud A. Shareef et al.
COMPUTERS IN HUMAN BEHAVIOR
(2020)
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Yanqing Duan et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2019)
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Marinus Ossewaarde
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2019)
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Apinya Kamolsook et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2019)
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Sanjit Kumar Roy et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2017)
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Katherine N. Lemon et al.
JOURNAL OF MARKETING
(2016)
