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  • 1
    Online Resource
    Online Resource
    How to Survive in the Shadow of Sharing Economy Giants: Business Model Innovation for Small and Medium-Sized Platforms
    SAGE Publications ; 2023
    In:  SAGE Open Vol. 13, No. 3 ( 2023-07)
    Details
    In: SAGE Open, SAGE Publications, Vol. 13, No. 3 ( 2023-07)
    Abstract: This study aims to explore how small and medium-sized platforms in the sharing economy can gain a competitive advantage in a market monopolized by giants. Taking China’s ride-hailing industry as an example, the k-means clustering method was employed to compare and analyze the characteristics and differences of 207 small and medium-sized platforms based on the framework of the business model canvas. An empirical typology comprising four representative successful business models of small and medium-sized ride-hailing platforms is extracted from the dimensions of key partners, value propositions, customer segmentation, and cost-revenue structure: high-end business platforms, Minibus-hailing platforms, Intercity carpool platforms, and Aggregation mode platforms. The results show that small and medium-sized platforms in the sharing economy can rely on their own characteristics and advantages to seek new potential development directions and gain development space by constructing value propositions and operating models that are different from industry giants. Specifically, it is necessary to further implement refined market identification and segmentation to continuously develop differentiated competitive advantages. In particular, more effective and open business strategies should be explored and practiced to greatly expand the network effects and business boundaries of small and medium-sized platforms, thereby significantly enhancing their competitiveness in the ride-hailing market. This study provides a new perspective on the reconstruction of market exchange in the sharing economy through the prism of small and medium-sized digital platforms and has certain important theoretical significance for supplementing and advancing existing research.
    Type of Medium: Online Resource
    ISSN: 2158-2440 , 2158-2440
    URL: Article
    DOI: 10.1177/21582440231196800
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2628279-3
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Design of Care Decision Support System Based on Home-Based Behavior of Elderly: A Design Science Study
    SAGE Publications ; 2022
    In:  SAGE Open Vol. 12, No. 1 ( 2022-01), p. 215824402210866-
    Details
    In: SAGE Open, SAGE Publications, Vol. 12, No. 1 ( 2022-01), p. 215824402210866-
    Abstract: With the development of Information Technology and Internet of Things, using unobtrusive sensors to monitor the home-based behavior of the elderly, and assisting the care givers to make care decisions based on this data plays an important role in ensuring the health and safety of the elderly living alone. Adopting the Design Science Approach, this study designs, implements, and evaluates a care decision support system based on home-based behavior of elderly. This system preprocesses the behavior data collected by sensors and divides it into Instantaneous Behavior data and Continuous Behavior data. Adopting Multivariate Gaussian Model and Topic Model, this system automatically provides the visualized results of overall analysis, baseline analysis, and long-term analysis. It can assist caregivers in finding early signs threatening elderly’s health and safety, and making care decisions. Three caregivers with more than 1-year relevant experience participates in the evaluation, and the results indicate that the system designed in this paper has more support effectiveness. This system provides a more effective tool of supporting caregivers making decisions for elderly living alone.
    Type of Medium: Online Resource
    ISSN: 2158-2440 , 2158-2440
    URL: Article
    DOI: 10.1177/21582440221086606
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2628279-3
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Research on Supply Chain Coordination Decision Model Based on Green Technology
    SAGE Publications ; 2023
    In:  SAGE Open Vol. 13, No. 3 ( 2023-07)
    Details
    In: SAGE Open, SAGE Publications, Vol. 13, No. 3 ( 2023-07)
    Abstract: The joint green R & D of suppliers and manufacturers and the green marketing of manufacturers directly affect the degree of green products. Based on this, this paper establishes a coordination decision-making model of green innovation on the basis of cost-sharing contracts to stimulate supply chain partnerships, and studies the green R & D efforts and green marketing investment decisions of the secondary supply chain composed of a single supplier and a single manufacturer under different leadership scenarios, as well as the relationship between the green R & D decisions of the supply chain and the green marketing decisions of the manufacturer. The influence of green innovation capability on enterprise profit, product greenness and marketing investment is analyzed by numerical simulation. The results show that if an enterprise increases the unit cost coefficient of green innovation, it will reduce the green input of all members of the supply chain; When consumers’ green preference is low, manufacturers will tend to increase investment in green marketing; Cost-sharing contracts can promote the overall green degree of products. The research conclusion can provide reference value for green supply chain management decision-making.
    Type of Medium: Online Resource
    ISSN: 2158-2440 , 2158-2440
    URL: Article
    DOI: 10.1177/21582440231190799
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2628279-3
    Location Call Number Limitation Availability
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    Online Resource
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