Will Internet Market Newness Improve Performance? An Empirical Study on the Internet Market Innovation of Offline Retailers in China

Cheng, Lu; Gu, Tongyu; Chen, Jie; Liu, Zunli

doi:10.3390/su132212619

Cited by 3 publications

(1 citation statement)

References 60 publications

(114 reference statements)

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“…For example, developments in the Internet have changed our behaviors and habits in many aspects of life, such as in information acquisition, communication, and shopping. Related changes have brought many innovation opportunities, such as Internet-based search engines, social networks, and e-commerce platforms [15]. Considering a product's lifecycle [16], innovation opportunities may come from different requirements in terms of product design, manufacturing, use, or recycling.…”

Section: Introductionmentioning

confidence: 99%

Identification of Innovative Opportunities Based on Product Scenario Evolution

Wang,

Tan,

Peng

et al. 2023

Systems

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Innovation is a key factor for product development. Identifying innovative opportunities is the first step in innovative product design. Traditional methods of identifying innovative opportunities, such as market surveys and brainstorming, are limited by product users’ and designers’ experiences and lack systematic approaches to generate breakthrough innovations. This paper proposes a method to identify innovative opportunities based on product scenario evolution. The method models a product scenario based on product scenario elements, states, and behaviors. A Type II hierarchical function model is constructed based on the transformation and abstraction hierarchy of the product function model to identify target elements for the scenario evolution. Based on the theory of basic element extension and needs evolution characteristics, the method of extending target scenario elements is proposed. Based on the new scenario element sets and their impact, diffusion, identification, and evaluation methods are proposed for innovation opportunities. Potential opportunities are explored for product innovation from a scenario evolutionary perspective, which updates knowledge and technology reserves and finds new market opportunities for industries. The feasibility and effectiveness of the method are verified using the innovative design of a polyethylene (PE) pipeline hot-melt welding machine.

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Section: Introductionmentioning

confidence: 99%

Identification of Innovative Opportunities Based on Product Scenario Evolution

Wang,

Tan,

Peng

et al. 2023

Systems

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Sharia Economy, Islamic Financial Performance and Factors That Influence It—Evidence from Indonesia

et al. 2023

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The contribution of SMEs to economic growth is supported by the development of the sharia economy by the government, making SMEs one of the main pillars in Indonesia’s economic development. This study aimed to analyze the influence of the digital economy, financial literacy, human capital, the role of Islamic financial institutions, government support for strengthening the Islamic economy and the Islamic financial performance of SMEs in Makassar City, Indonesia. This study used a quantitative method with a survey approach. Data were obtained through questionnaires distributed to 350 respondents with a sampling method. The results of this study indicated that the strengthening of the sharia economy, the Islamic financial performance of SMEs, economic digitalization and financial literacy are determined by factors of human capital, the role of Islamic financial institutions and government support. Regarding human capital, the roles of Islamic financial institutions and government support affect the Islamic financial performance of SMEs with a coefficient of determination of 58.5%. Human capital, the role of Islamic financial institutions, government support and financial performance have a positive correlation with the strengthening of the sharia economy with a coefficient of determination of 71.6%. This study supports the improvement of government policies and the construction of financial facilities in improving the Islamic financial performance of SMEs and encourages the strengthening of the sharia economy in Makassar City, South Sulawesi, Indonesia. The limitation of this research is that the research object was only carried out on SMEs in Makassar City; thus, similar research can be increased at the national level to describe the strengthening of the sharia economy and the improvement of the financial performance of SMEs as a whole in Indonesia.

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Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000–2023)

Haque,

Akther,

Khan

et al. 2024

Informatics

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Artificial intelligence (AI) is fundamentally transforming the marketing landscape, enabling significant progress in customer engagement, personalization, and operational efficiency. The retail sector has been at the forefront of the AI revolution, adopting AI technologies extensively to transform consumer interactions, supply chain management, and business performance. Given its early adoption of AI, the retail industry serves as an essential case context for investigating the broader implications of AI for consumer behavior. Drawing on 404 articles published between 2000 and 2023, this study presents a comprehensive bibliometric and content analysis of AI applications in retail marketing. The analysis used VOSviewer (1.6.20.0 version) and Bibliometrix (version 4.3.1) to identify important contributors, top institutions, and key publication sources. Co-occurrence keyword and co-citation analyses were used to map intellectual networks and highlight emerging themes. Additionally, a focused content analysis of 50 recent articles was selected based on their relevance, timeliness, and citation influence. It revealed six primary research streams: (1) consumer behavior, (2) AI in retail marketing, (3) business performance, (4) sustainability, (5) supply chain management, and (6) trust. These streams were categorized through thematic relevance and theoretical significance, emphasizing AI’s impact on the retail sector. The contributions of this study are twofold. Theoretically, it integrates existing research on AI in retail marketing and outlines future research in areas such as AI’s role in the domain of consumer behavior. From an empirical standpoint, the study highlights how AI can be applied to enhance customer experiences and improve business operations.

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Will Internet Market Newness Improve Performance? An Empirical Study on the Internet Market Innovation of Offline Retailers in China

Cited by 3 publications

References 60 publications

Identification of Innovative Opportunities Based on Product Scenario Evolution

Identification of Innovative Opportunities Based on Product Scenario Evolution

Sharia Economy, Islamic Financial Performance and Factors That Influence It—Evidence from Indonesia

Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000–2023)

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