Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products

Verhoef, Peter C.; Stephen, Andrew T.; Kannan, P.K.; Luo, Xueming; Abhishek, Vibhanshu; Andrews, Michelle; Bart, Yakov; Datta, Hannes; Fong, Nathan M.; Hoffman, Donna L.; Hu, Mandy; Novak, Tom; Rand, William; Zhang, Yuchi

doi:10.1016/j.intmar.2017.06.001

Cited by 171 publications

(79 citation statements)

References 45 publications

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“…There is a wide variety of emerging technologies that allow the hybridization of the physical and digital world, which gives rise to the concept of a cyber-physical system as an object with a double existence (physical and real) [60] and another digital twin (digital and virtual) [61]. From among these, it is worth highlighting the sensors in products and processes [62], embedded systems [63], robotics and automation [63], additive manufacturing [64], artificial vision and intelligence [65], augmented and virtual reality [66], simulation and virtualization of production [65,67], connectivity of the company with the consumer [68], social networks [69,70], electronic commerce [71], cyber-security [72], advanced cloud computing [73], and digital twin and collaborative platforms [74]. Following an overview, we will proceed to establish a review and a study of the main technologies.…”

Section: Emerging Technologies In Industry 40mentioning

confidence: 99%

Standardization Framework for Sustainability from Circular Economy 4.0

et al. 2019

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The circular economy (CE) is widely known as a way to implement and achieve sustainability, mainly due to its contribution towards the separation of biological and technical nutrients under cyclic industrial metabolism. The incorporation of the principles of the CE in the links of the value chain of the various sectors of the economy strives to ensure circularity, safety, and efficiency. The framework proposed is aligned with the goals of the 2030 Agenda for Sustainable Development regarding the orientation towards the mitigation and regeneration of the metabolic rift by considering a double perspective. Firstly, it strives to conceptualize the CE as a paradigm of sustainability. Its principles are established, and its techniques and tools are organized into two frameworks oriented towards causes (cradle to cradle) and effects (life cycle assessment), and these are structured under the three pillars of sustainability, for their projection within the proposed framework. Secondly, a framework is established to facilitate the implementation of the CE with the use of standards, which constitute the requirements, tools, and indicators to control each life cycle phase, and of key enabling technologies (KETs) that add circular value 4.0 to the socio-ecological transition.

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Section: Emerging Technologies In Industry 40mentioning

confidence: 99%

Standardization Framework for Sustainability from Circular Economy 4.0

et al. 2019

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“…Drawing on the work in [49], we assumed the total number of users was 100 in the simulation experiments. The average degree was 6.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In this paper, the experiments under each environment and parameter were repeated 50 times, and then we took the mean value of the simulation result. Drawing on the work in [49], we assumed the total number of users was 100 in the simulation experiments. The average degree was 6.…”

Section: The Innovative Diffusion Of Mobile Applications Under Differmentioning

confidence: 99%

Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System

Zhou

Lin

et al. 2020

Sustainability

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Mobile application innovation diffusion can be used to enhance the reputation and competitiveness of Internet enterprises. However, few works have explored the process of mobile application innovation diffusion from the individual perspective. Therefore, this paper employs multi-agent methods to simulate the innovation diffusion of mobile applications from the perspective of social networks. Specifically, we combine psychology, sociology, game theory and network effect theory to model user behaviors of adoption and rejection decisions for mobile applications. The multi-agent model was built in Anylogic 8 to simulate the communication and interaction between individual users. Then, this paper discusses the evolution of decision-making of social network user groups with different network structures and network effects. We also investigate the impact of different firms' promotion on innovation diffusion. Our findings suggest firms could make better strategies and achieve better diffusion effects from mobile applications. IntroductionNowadays, market competition in mobile applications is increasingly fierce. The success of the mobile application in market promotion not only helps Internet enterprises to seize the market and create business value, but also allows firms establish a good reputation and gain a competitive advantage [1][2][3].The innovation diffusion of mobile applications always occurs in user groups. Since users can communicate and interact with others, most of the diffusion of mobile applications is based on each user in a social network [4,5]. Numerous studies indicate that the development of mobile internet and technology social networks, significantly reducing the cost of communication between users, makes communication and interaction very convenient [6,7]. As various mobile applications allow users to share happiness and dissatisfaction with others on the Internet, users' decisions on mobile applications are also influenced by social relations and social network structure [8,9]. In addition, research evidence also supports the fact that there are network effects in the diffusion of mobile applications; that is, the utility of mobile applications to users will increase with an increase in the number of applications [10]. Specifically, network effects can be divided into global and local network effects. Global network effect means that, when more users adopt innovative technology in the global environment, the value of mobile applications to users will be higher. While the local network effect refers to the effect of related users on the utility value, which emphasizing the interaction between users. The decision-making of users will largely depend on the decision-making of their surroundings. As the number of users adopting mobile applications increases, their neighbors also would like to adopt the same applications. Then, the value and utility of the mobile applications to the users will also increase, which ultimately Sustainability 2020, 12, 2884 2 of 17 affects user decision-making. In additio...

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“…The development of multichannel strategies is indeed based on new technologies, such as personal computers and personal communication devices (smartphones). Their common feature is to offer a high level of connectivity to consumers (Verhoef et al, 2017), often summarized by the well-known term ATAWAD: "Any Time, Any Where, Any Device. "…”

Section: Technologymentioning

confidence: 99%

“…It is therefore this question of consumer experience that must be at the heart of a 20 marketing policy. By systematically comparing prices and obtaining informed advice from peers in their social universe, consumers develop sometimes surprising migration trajectories that need to be explored (Chiu et al, 2011;Park and Lee, 2017;Verhoef et al, 2017).…”

Section: Preliminary Clarificationmentioning

confidence: 99%

Multichannel Strategy in Perspective: The Consumer Experience at the Heart of Marketing Policy

2019

JMCR

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Since the early 2000s, distribution channels have undergone a deep transformation in developed countries, but also in developing countries. While physical sales structures (stores, branches) have been, for a very long time, the preferred means for consumers to access products or services, the explosion of the Internet channel has radically changed the foundation of consumer experience. The multiplication of physical and virtual touchpoints is a new economic reality that leads consumers to live a total consumption experience, including migrating from one distribution channel to another with great ease. The background of the investigation is thus based on a major transformation: the great volatility of the consumer, quickly moving from one touchpoint to another. This volatility destabilizes manufacturing and retailing firms, whose customers used only one type of channel in the past and forces them to deeply rethink their marketing policy. Companies must learn to implement an efficient multichannel strategy, at the risk of losing market share in an extremely competitive environment. This paper uses literature on multichannel strategy to highlight three essential dimensions: the identification of multichannel strategy accelerators, the paradigm shift implied by a multichannel strategy and the original consumer migration paths that a multichannel strategy must take into account.

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Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products

Cited by 171 publications

References 45 publications

Standardization Framework for Sustainability from Circular Economy 4.0

Standardization Framework for Sustainability from Circular Economy 4.0

Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System

Multichannel Strategy in Perspective: The Consumer Experience at the Heart of Marketing Policy

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