A framework to assess the smartphone buying behaviour using DEMATEL method in the Indian context

Bali, Shivani; Bali, Vikram; Gaur, Dev; Rani, Sita; Kumar, Raman; Chadha, Priyanka; Sharma, Y.K.; Prakash, Chander; Shahare, Padmakar; Khera, Gurbir Singh; Kampani, Shivani; Solopova, Natalia; Dixit, Saurav; Vatin, Nikolai Ivanovich

doi:10.1016/j.asej.2023.102129

Cited by 26 publications

(18 citation statements)

References 49 publications

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“…On the one hand, the DEMATEL method is in line with the research purpose of this paper, on the other hand, compared with other factor analysis methods, DEMATEL analyzes the causal relationship of influencing factors from both direct and indirect influences, which makes the identification of key influencing factors more reliable [25]. With the passage of time, the application of DEMATEL is becoming more and more extensive, being used in fields such as smartphones, mining, the aluminum industry, and other fields [26][27][28]. Since the DEMATEL model can identify key factors, and the Interpretive Structural Modeling (ISM) model can clearly identify the hierarchical structure of influencing factors, some scholars have proposed to combine the DEMATEL and ISM methods to analyze influencing factors [29][30][31].…”

Section: Interpretive Structural Modeling-decision-making Trial and E...supporting

confidence: 56%

Research on the Risk-Inducing Factors of Prefabricated Building Design Change Based on Improved DEMATEL-ISM

Sun,

Geng,

Zhao

et al. 2023

Buildings

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Under the background of China’s progress towards the goals of “carbon peak” and “carbon neutrality”, prefabricated buildings have developed rapidly due to their advantages of energy conservation and environmental protection, low construction cost, and high efficiency. While much attention has been paid to prefabricated buildings, less has been studied about the risk factors that cause engineering changes. In this paper, the factors that induce the risk of design change were identified from six aspects: personnel management, resource management, organization management, information and communication, collaboration mechanism, and technical level. The improved DEMATEL-ISM model was established in a fuzzy environment, the relationship between the influencing factors was quantitatively analyzed, the hierarchy between the factors was intuitively reflected, and the driving force and dependence of each factor were clearly displayed; it was concluded that poor organizational ability, errors and omissions in design, time lag between design and construction, immature component splitting and deepening design technology, and low standardization of production components in component factories are the key factors that induce the risk of design change. Finally, management implications for the relationship between various factors were proposed. This article provides references and help for the construction industry to effectively manage the risks caused by design changes.

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Section: Interpretive Structural Modeling-decision-making Trial and E...supporting

confidence: 56%

Research on the Risk-Inducing Factors of Prefabricated Building Design Change Based on Improved DEMATEL-ISM

Sun,

Geng,

Zhao

et al. 2023

Buildings

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“…The previous studies in marketing literature have followed the same approach to study health promotions (Liao, 2020); manufacturability of mobile phones (San, 2019); Indian retail websites (Gaur et al , 2020); green manufacturing (Agarwal et al , 2020); addiction of social media (Dalvi-Esfahani et al , 2019); product promotion (Gao et al , 2018). Bali et al (2023) conducted a study examining the influential factors impacting customer behaviour in purchasing smartphones and their interrelation using the DEMATEL approach. Yeo et al (2022) conducted a study to investigate the factors influencing consumers’ purchase decisions towards organic food, particularly among Generation Y consumers, using the DEMATEL technique.…”

Section: Methodsmentioning

confidence: 99%

Modelling the factors impacting customer engagement for branded content in healthcare

Chauhan,

Sindhu,

Mor

2023

IJPHM

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Purpose In this global digital era, health-care companies are increasing their presence on the internet through branded content that serves as a connecting link between customers and brands. However, there is a limited understanding of branded content’s impact on customers. Thus, this paper aims to empirically analyse customer engagement for branded content in the health-care sector. Design/methodology/approach The factors impacting customer engagement for branded content were identified and analysed using the Decision-Making Trial and Evaluation Laboratory approach to get their significance and the cause and effect relationship. Findings It emerged that co-creation is the most significant factor, having a substantial relationship with all other factors. It is substantiated that health-care companies can increase the intensity of customer engagement by delivering more authentic and relevant content and having an appealing look in a time-bound manner. This will increase the usefulness and entertaining value of the content. Originality/value The research findings contribute to the customer engagement dimension in the health-care sector and help the companies construct effective branded content leading towards higher customer engagement.

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“…In Table 2, a summary of the applications for the integrated Fuzzy Delphi-ISM- MICMAC-DEMATEL approach in different research areas have been provided. This methodology has proved to be a valuable mathematical tool for researchers and experts in various fields (Bali et al , 2023). This study proposed a Fuzzy mixed methodology that would address the disadvantages of the previous study’s methodology and improve the accuracy of the results.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the key attributes for improving customer repurchase rates through mobile advertisements using a Fuzzy mixed approach

Nalluri

Mayopu

Chen

2023

JM2

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Purpose Due to the high use of mobile devices, the market share of mobile advertisements (Ads) is significantly growing. Although mobile Ads can contact potential customers at any time and in any location depending on their unique demands, one of the biggest problems for advertisers is how to improve customer repurchases with their Ads. The development and empirical support of customer repurchase through mobile Ads context have not been addressed. Therefore, the purpose of this paper is to define and identify the key attributes of customer repurchase in a mobile Ads context. Design/methodology/approach In this research, the set of attributes was derived from a systematic literature review and finalized by applying the Fuzzy Delphi method. To develop a hierarchical model and classify the cause/effect groups among identified key attributes, the Fuzzy mixed approach uses a combination of Fuzzy interpretive structural modeling-decision-making trial and evaluation laboratory. Findings The findings suggest that language, type of website and social media are classified to as essential attributes for improving customer repurchase through mobile Ads. Research limitations/implications The focus of the current research is limited to identify and develop the hierarchical interrelationships between customer repurchase attributes that are unique to the mobile Ads business context. Additional research may be conducted for various media contexts and other products/services categories. Originality/value This study illustrated how multicriteria decision-making techniques could be used effectively using Fuzzy theory to explore the research area of customer repurchase in mobile Ads concept.

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A framework to assess the smartphone buying behaviour using DEMATEL method in the Indian context

Cited by 26 publications

References 49 publications

Research on the Risk-Inducing Factors of Prefabricated Building Design Change Based on Improved DEMATEL-ISM

Research on the Risk-Inducing Factors of Prefabricated Building Design Change Based on Improved DEMATEL-ISM

Modelling the factors impacting customer engagement for branded content in healthcare

Modeling the key attributes for improving customer repurchase rates through mobile advertisements using a Fuzzy mixed approach

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