Maximizing the Influence of the Innovative Products Diffusion considering Advertisement and Promotion Strategies

Huo, Liang’an; Xu, Jianbo; He, Jianjia; Lin, Tingting

doi:10.1155/2021/9293303

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…In recent years, the bifurcation analysis of different innovation diffusion models has been studied [18,19]. Many models regarding innovation diffusion have been developed and analyzed in recent years [7,11,20,26,27,31].…”

Section: Introductionmentioning

confidence: 99%

An innovation diffusion model with two innovations under two simultaneous effects in a competitive market: co-existence through optimal control

Chugh,

Dhar,

Guha

2024

J. Math. Computer Sci.

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Since mass media plays an important role in influencing the non-adopter population, the adoption rate changes with the media awareness rate. Motivated by this concept, in this paper, a model of three non-intersecting classes of non-adopters, adopters for product-I and adopters for product-II is proposed. Under the influence of media coverage and word-of-mouth, the dynamic behaviour of the system is investigated. The basic influence numbers R 0 1 and R 0 2 associated with the first and second innovations help in performing stability analysis. It is observed from stability analysis that adopter-free equilibrium is conditionally stable. Also, the system has no stable interior equilibrium point. The basic influence numbers determine the sustainability of a particular product in the market. The optimal control theory is used to reduce the frustration rate in both adopter classes. The Hamiltonian function is constructed using the extended optimum control model and is then solved according to Pontryagin's maximum principle to get the cost. Also, coexistence is possible with the implementation of optimal control. Sensitivity analysis has been performed for both the basic influence numbers R 0 1 and R 0 2 . Lastly, numerical experimentations have been executed to assist analytical findings with distinct sets of parameters.

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Section: Introductionmentioning

confidence: 99%

An innovation diffusion model with two innovations under two simultaneous effects in a competitive market: co-existence through optimal control

Chugh,

Dhar,

Guha

2024

J. Math. Computer Sci.

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“…In a competitive market environment, enterprises that can quickly respond to market changes and launch new products are often able to take the lead and gain more market shares. However, due to the diversity and complexity of the market demand information for innovative products, manufacturers face greater uncertainty when forecasting market demand, which ultimately leads to an imbalance between market supply and demand [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

Selection of presale models for innovative products considering channel preferences and valuation differences

Jiang,

Qin,

Zuo

et al. 2024

PLoS ONE

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To reduce financial pressure and operational risk, and improve match between supply and demand, an increasing number of enterprises are adopting presales to launch new products. In this context, this paper investigates three presale models for innovative products, namely, the no-presale model, the manufacturer presale model and the retailer presale model. A Hotelling model is used to describe the impact of channel preferences and valuation differences on the two-stage competition between innovative products. Aiming at evaluating the purchase behavior of consumers under three presale modes, a game optimization model is established to analyze the presale decision problem for innovative products under different presale entities. The research shows that: (1) Compared with no-presale, presales can help enterprises obtain more profits. The overall profit of the supply chain is optimal under the retailer presale mode. (2) When the difference in channel preferences is small, the manufacturer obtains the greatest profit by choosing the direct presale model. In contrast, the selection of different presale entities has a significant impact on product sales and supply chain enterprise profits. At this point, the manufacturer should choose the retailer presale model. (3) When the product valuation discount is high, the manufacturer can increase the spot and wholesale prices to induce consumers to choose the presale method to purchase the product. In the opposite situation, the manufacturer should lower the presale price to improve the presale utility of consumers and encourage them to participate in the presale. These conclusions provide more targeted suggestions for enterprises to formulate presale strategies, which can help them grasp market demand and improve market competitiveness.

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“…Based on complex network theory, accurately mining influential nodes in the network helps us better control the dissemination of rumor 1 , inhibit the outbreak of epidemics 2 , optimize the plan of advertising 3 , predict popular research results 4 , prevent diseases outbreaks 5 , and so on.…”

Section: Introductionmentioning

confidence: 99%

HA: An influential node identification method based on hub-triggered neighborhood decomposition and asymmetric order-by-order recurrence model

Zhao,

Ye,

2024

Preprint

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In recent years, the proliferation of major power network security incidents triggered by malicious attacks has drawn widespread attention to influential nodes in power networks. Among the existing influential node identification algorithms, the global algorithms are too complex and not suitable for large-scale networks. The local algorithms are too simply to ignore the differentiated features of the same node in different information dissemination processes. To overcome these shortcomings, this paper proposes a novel influential node identification method based on hub-triggered neighborhood decomposition and asymmetric order-by-order recurrence model. The concepts of network directionalization strategy and hub-triggered neighborhood decomposition are introduced to distinguish the functional differences between nodes in the virus-spreading process. Moreover, this paper proposes the concepts of infected potential and infecting potential, and constructs a calculation model with asymmetric characteristics based on the order-by-order recurrence method to make full use of the information in the connection structure of the adjacent neighborhood. Finally, the influence of the hub node is evaluated by integrating the infected potential and infecting potential of neighbors of multiple orders. Experimental results show that the algorithm proposed in this paper outperforms the other six algorithms in terms of SIR correlation coefficient, imprecision function and algorithm resolution.

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Maximizing the Influence of the Innovative Products Diffusion considering Advertisement and Promotion Strategies

Cited by 6 publications

References 33 publications

An innovation diffusion model with two innovations under two simultaneous effects in a competitive market: co-existence through optimal control

An innovation diffusion model with two innovations under two simultaneous effects in a competitive market: co-existence through optimal control

Selection of presale models for innovative products considering channel preferences and valuation differences

HA: An influential node identification method based on hub-triggered neighborhood decomposition and asymmetric order-by-order recurrence model

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