Research on the Measurement and Characteristics of Virtual Agglomeration Based on Social Network Analysis: Evidence from 29 Manufacturing Industries in China DOI Creative Commons
Qing Zhang,

Shaofeng Ru,

Yiyang Cheng

и другие.

Systems, Год журнала: 2023, Номер 11(12), С. 571 - 571

Опубликована: Дек. 8, 2023

(1) Background: Virtual agglomeration reshapes the organizational form and drives sustainable development of manufacturing industry. How to measure virtual level industry is an important difficult problem for current research. (2) Methods: In this study, we constructed a social network industry, with each representing node in network. We also measured overall using edge number density indicators analysis method. Each sub-industry was point centrality index. Furthermore, characteristics were examined through cluster core–periphery analysis. The data sources include supply chain statistics text enterprises. obtained help Python crawler technology. Two types matched, 29 industries China from 2012 2022 obtained. (3) Results: constantly improving, but there are large differences among different industries. Moreover, has both specialization diversification. experiencing evolution process “core–periphery” structure “core–semi-periphery–periphery” structure. (4) Conclusions: This study provides theoretical basis practical reference improving

Язык: Английский

Exploring supply chain managers' complex perceptions of dynamic capabilities for digital transformation DOI Creative Commons

Mario Dobrovnik,

David M. Herold, Sebastian Kummer

и другие.

Digital Business, Год журнала: 2024, Номер unknown, С. 100098 - 100098

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1

Service Mechanism for the Cloud–Edge Collaboration System Considering Quality of Experience in the Digital Economy Era: An Evolutionary Game Approach DOI Creative Commons
Shiyong Li,

Min Xu,

Huan Liu

и другие.

Systems, Год журнала: 2023, Номер 11(7), С. 331 - 331

Опубликована: Июнь 27, 2023

In the digital economy era, cloud–edge collaboration technology provides necessary technical support for transformation of enterprises, which can improve quality services (QoS), and it attracts extensive attention from scholars entrepreneurs all fields. Under bounded-rationality hypothesis, this paper investigates service mechanism system considering experience (QoE) presents a dynamic evolutionary game model between cloud providers edge operators by applying theory. Then, analyzes equilibrium stability conditions decision-making both parties involved to guarantee QoE reaches ideal state. addition, we investigate factors that influence stable cooperation two strategies validate theoretical analytical results with numerical simulations. The research show final evolution depends on benefits costs matrix initial state values system. specific condition, eventually be driven an reducing cost improving benefit. more focus QoE, conducive will formation collaboration, thus effectively promoting long-term better serving enterprises’ transformation.

Язык: Английский

Процитировано

2

A Study of Current Socio-Technical Design Practices in the Industry 4.0 Context among Small, Medium, and Large Manufacturers in Minnesota and North Dakota DOI Open Access

K. F. Roth,

K. Farahmand

Sustainability, Год журнала: 2023, Номер 15(23), С. 16438 - 16438

Опубликована: Ноя. 30, 2023

The implementation of flexible work arrangements in the modern environment has increased recent years. Jointly optimizing social and technical factors within an organization is necessary for development hybrid environments. This study describes insights gleaned from a survey issued to SMEs large manufacturers Minnesota North Dakota. design focused on socio-technical theory, digital maturity, organizational learning, responsible autonomy, leadership, communication strategies, reduced week schedules. Insights were provided as how these critical support sustainability initiatives, such research assesses strengths weaknesses current manufacturing organizations Dakota that towards against implementing daily hour goals.

Язык: Английский

Процитировано

2

The relationship between digital transformation and digital literacy - an explanatory model: Systematic literature review DOI Creative Commons
J. Arnaud, Henrique São Mamede, Frederico Branco

и другие.

F1000Research, Год журнала: 2024, Номер 13, С. 253 - 253

Опубликована: Апрель 5, 2024

Digital transformation has been one of the main trends in organizations recent years, and digital literacy is a critical factor success this transformation. Digital involves use technologies to improve an organization’s processes, products, services. For be successful, it necessary for employees have knowledge skills technologies. allows understand their applications, know how them efficiently safely, evaluate select most appropriate tools each task, prepared deal with problems challenges that arise environment. Thus, study relevant because seeks can impact Transformation and, through construction explanatory model, identification variables influence relationship by developing strategies organizations.

Язык: Английский

Процитировано

0

How and When Does Digital Transformation Promote Technological Innovation Performance? A Study of Chinese High-Tech Firms DOI
Yong Xu, Junzhe Ji, Yue Qiao

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Research on Strategic Management in Digital Transformation: A Systematic Review DOI

浩冉 宋

E-Commerce Letters, Год журнала: 2024, Номер 13(03), С. 6719 - 6729

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Mediation of brand reputation and image in the relationship between perceived corporate social responsibility and brand equity and loyalty of technology companies among Generation Z: the moderating role of gender DOI Creative Commons
Jorge Luis Canta Honores, Luciano Barcellos de Paula

Cogent Business & Management, Год журнала: 2024, Номер 11(1)

Опубликована: Ноя. 8, 2024

This study examines whether the effects of perceived corporate social responsibility (PCSR) on brand equity and loyalty are jointly mediated by image reputation in technology industry. It also explores moderating role gender these relationships. The sample consisted 420 Generation Z members from Lima, selected through gender-stratified random sampling. focuses sector, represented large FAANG companies (Facebook, Amazon, Apple, Netflix, Google), justified their high stock market visibility relevance business strategy research. Data were collected using a 21-item instrument, PLS-SEM structural equation modeling was employed to explain loyalty, as well validate items hypotheses. results support positive between PCSR, equity, highlighting previously unexplored mediation image. Additionally, it found that moderates relationship PCSR with stronger effect observed among women. Hierarchy Effects Model, which direct effects, mediators, moderators, is proposed theoretical framework. Practical implications suggest managers should recognize mechanisms linking effectively attract Z.

Язык: Английский

Процитировано

0

CONCEPTUAL ASPECTS OF CONSTRUCTING AND INTERPRETING OF DIGITAL TRANSFORMATION INDICES FOR MANUFACTURING ENTERPRISES DOI Creative Commons
Sergey Ilkevich

Strategic decisions and risk management, Год журнала: 2024, Номер 15(1), С. 30 - 45

Опубликована: Июль 4, 2024

The article focuses on the problem of designing, constructing, measuring and interpreting indices for assessing digital transformation manufacturing companies. We analyse compositional features, advantages limitations three indices, which are a fairly focused comparing industrial sectors (or at least extended groups industries) according to their level or maturity: Industrial Digitalisation Index MGI McKinsey, Smart Industry Readiness (SIRI) World Economic Forum, Economy Social Sectors by Higher School Economics. main thesis is need develop unified, continuous relevant index companies, taking into account all positive experiences in conceptual methodological development digitalisation assessment that research analysis teams have managed so far. At same time, author points out avoid retrospective construction based lagging statistical data. It seems very important take introduce strategic vector when not enough simply aggregate indicators adoption identify certain sub-indices as markers transformation. From point view, such an approach can be perfectly correct, reliable, verifiable.Questions arise about productive potential clustered technologies context evolving business models, particularly manufacturing. As part constructing any methods dynamics maturity, digitalisation, transformation, it better face inevitable uncertainty some frontier attempt foresee intersections technological factors future niches than try generalise trajectory already traversed with more logic only verified tested parts layers technologies. With this approach, companies projective instrumental functions, they serve, sense, roadmap. They make possible improve vision different sectors, well stakeholders, associations public authorities (especially those charge policy), view achieving later stages maturity.

Язык: Английский

Процитировано

0

Research on the Measurement and Characteristics of Virtual Agglomeration Based on Social Network Analysis: Evidence from 29 Manufacturing Industries in China DOI Creative Commons
Qing Zhang,

Shaofeng Ru,

Yiyang Cheng

и другие.

Systems, Год журнала: 2023, Номер 11(12), С. 571 - 571

Опубликована: Дек. 8, 2023

(1) Background: Virtual agglomeration reshapes the organizational form and drives sustainable development of manufacturing industry. How to measure virtual level industry is an important difficult problem for current research. (2) Methods: In this study, we constructed a social network industry, with each representing node in network. We also measured overall using edge number density indicators analysis method. Each sub-industry was point centrality index. Furthermore, characteristics were examined through cluster core–periphery analysis. The data sources include supply chain statistics text enterprises. obtained help Python crawler technology. Two types matched, 29 industries China from 2012 2022 obtained. (3) Results: constantly improving, but there are large differences among different industries. Moreover, has both specialization diversification. experiencing evolution process “core–periphery” structure “core–semi-periphery–periphery” structure. (4) Conclusions: This study provides theoretical basis practical reference improving

Язык: Английский

Процитировано

1