Customer concentration and digital transformation

Li, Min; Liu, Na; Kou, Aiju; Chen, Wenchuan

doi:10.1016/j.irfa.2023.102788

Cited by 32 publications

(16 citation statements)

References 74 publications

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“…Considered one of the most promising DTs, AI is likely to become a generalized technology and be incorporated into business innovation processes, contrary to other DTs [ 111 , 112 ]. However, much of the literature ignores this trend and focuses on the broad topic of digitization [ [113] , [114] , [115] ]. AI can improve internal operational procedures within an organization [ 116 ], operational effectiveness [ 117 ], scientific decision-making [ 118 ], and commercial frameworks [ 119 ].…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence and green product innovation: Moderating effect of organizational capital

Ying,

Jin

2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

Artificial intelligence and green product innovation: Moderating effect of organizational capital

Ying,

Jin

2024

Heliyon

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“…Значительное внимание уделяется социологическим и психологическим вопросам, что вполне логично: личностные качества работника администрации имели и будут иметь решающее значение для эффективности его деятельности. Однако при дальнейшем анализе авторы обращают внимание на особенности взаимодействия с клиентами (здесь уместно вспомнить, что они выступают в качестве одного из факторов цифровой трансформации [Li, Liu, Kou, Chen, 2023]), а также территориальные (в том числе региональные) вопросы управления. Конечно, рассматриваемая в работе проблема охарактеризована довольно фрагментарно, однако трудно было бы ожидать действительно всеобъемлющего описания того, что еще настолько малоизвестно.…”

Section: обсуждение / Discussionunclassified

Managerial challenges in the conditions of digitalisation. A review of the book “Management for digital transformation” (Springer, 2024)

Ruban

2024

E-Management

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The active processes of digitalisation of socio-economic systems require modifications of managerial activities which should be facilitated by relevant scientific developments. This article is a review of the monograph devoted to peculiarities of management in the conditions of digital transformation and written by the international team of specialists. The work includes 9 main chapters which address very different aspects of the problem and particularly control during digitalisation, technology transfer, talent management, interaction with customers, marketing tools, e-commerce, functioning of virtual teams, inter-organisational collaboration, management of digital waste. Generally, it is found that despite the fact that digitalisation opens new perspectives for managerial activities, it also forms significant difficulties, and its effects are ambivalent or can often be negative. The considered research field seems to be rather poorly studied, and the monograph successfully poses new questions for the subsequent investigations. The reviewed work demonstrates the mosaic composition; nonetheless, it is informative and offers an original view of the problem. It contains a lot of interesting conceptual constructs and is rich in factual materials. Also, the edition is distinguished by a substantial number of terms, and the available subject index facilitates better orientation in the latter. The style is purely academic, but the potential readership seems to be wide. Despite a few minor deficiencies, the monograph, undoubtedly, will be interesting to Russian specialists.

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“…The variable change indicator test converts the explained variable optimization of marine industrial structure into an indicator of marine industrial structure upgrading, thereby representing optimization and upgrading of marine industrial structure (Li et al, 2023). Then, after transforming the indicators, this paper puts them under SCM to test the policy effect.…”

Section: Change Of Variable Indicatormentioning

confidence: 99%

Evaluation of marine economic development demonstration zone policy on marine industrial structure optimization: a case study of Zhejiang, China

Cui,

Xu,

et al. 2024

Front. Mar. Sci.

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The marine economic development demonstration zone (MEDDZ) is the regional marine functional policy that assumes the significant tasks of innovation in the system and mechanism of the marine economy, optimization of the marine industrial structures, and the construction of marine ecological civilization. This paper constructs a panel database of 11 coastal provinces in China from 2006 to 2019, takes the Zhejiang Marine Economy Development Demonstration Zone Plan officially approved by the State Council of China in 2011 as a quasi-natural experiment, applies the synthetic control method (SCM) to evaluate the effect of implementation of the MEDDZ policy on marine industrial structure optimization in Zhejiang. The results show that: (1) The MEDDZ policy significantly promotes the structure optimization of the marine industry in Zhejiang and the existence of the policy lag phenomenon. (2) Based on the results of the robustness tests, we find that the fitted path of policy effects is better when the time of MEDDZ implementation is adjusted to 2012. (3) Government financial support and marine cargo capacity play a role in implementing the MEDDZ policy, positively affecting and optimizing the coastal marine industry’s structure. Therefore, we make some suggestions from the perspectives of strengthening the policy implementation process, focusing on the policy lag phenomenon, and broadening funding sources, thus enriching theoretical research on policies in the field of the marine industry and providing practical references for the development of other coastal demonstration zones.

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Customer concentration and digital transformation

Cited by 32 publications

References 74 publications

Artificial intelligence and green product innovation: Moderating effect of organizational capital

Artificial intelligence and green product innovation: Moderating effect of organizational capital

Managerial challenges in the conditions of digitalisation. A review of the book “Management for digital transformation” (Springer, 2024)

Evaluation of marine economic development demonstration zone policy on marine industrial structure optimization: a case study of Zhejiang, China

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