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This study explores the impact of supply chain finance on industrial efficiency and the internal mechanism. The super-efficiency model and quantitative analysis method were used based on the time series data of the ICT industry in Shenzhen from 2005 to 2020. In order to better investigate the impact of supply chain finance on industrial efficiency, this study categorized industrial efficiency into operational efficiency and innovation efficiency to reflect the durability and virtuousness of the industry development. Results indicate that supply chain finance has an inverted U-shaped nonlinear effect on industrial efficiency. Even though the long-term effect on operational efficiency is positive, the effect on innovation efficiency reveals an inverted U-shape, mainly due to the mediating effect of industrial concentration. Theoretically, this study sheds light on the intricate effects of supply chain finance at the industrial level, and also provides valuable insights into the potential inhibition mechanism, which enriches and deepens the related research on the supply chain finance from the nonlinear perspective, make the research findings more consistent with the fact of industrial development and avoid the linear stereotypes of the existing theory consensus. Practically, it is conductive to an objective understanding for managers and policymakers, so that supply chain finance can facilitate both operational and innovation efficiencies and realize the effective integration of supply chain finance and industrial development. Plain Language Summary: The purpose of this study aimed to explore the impact of supply chain finance on industrial efficiency. Authors conducted quantitative analysis based on the time series data of the ICT industry in Shenzhen from 2005 to 2020. In order to better investigate the impact of supply chain finance on industrial efficiency, this study categorized industrial efficiency into operational efficiency and innovation efficiency to reflect the durability and virtuousness of the industry development. Results indicate that supply chain finance can indeed greatly improve industrial efficiency. However, this improvement is more from the perspective of operational efficiency at the industrial operation level. In the long run, excessively developed supply chain finance will lead to excessive concentration on the supply side, and excessively powerful supply chain finance enterprises will also squeeze the survival space of small and medium-sized enterprises in the serviced industry, ultimately causing the entire industry to lose its innovative vitality due to the increased industrial concentration. Theoretically, this study sheds light on the intricate effects of supply chain finance at the industrial level, and also provides valuable insights into the potential inhibition mechanism, avoid the linear stereotypes of the existing theory consensus. Practically, it is conductive to an objective understanding for managers and policymakers to realize the effective integration of supply chain finance and industrial development. This study also encountered limitations from sample range and particularity, which make it faced the challenge of theoretical robustness when extending to traditional industries. [ABSTRACT FROM AUTHOR]

The information and communication technologies of the 21st century use digital user data as a technical tool and aim to increase the efficiency and profitability of industrial production through the use of advanced data analysis technologies. Big data technologies carry out continuous surveillance on internet users and can reach accurate inferences through advanced analysis methods by using data generated by users. The ability of big data analysis techniques to collect and process detailed behavioral data about users raises concerns regarding the privacy and confidentiality of user data. This study, which provides a summary of the developmental stages of data technologies and analyses the dangers contained in these technologies in connection with the ongoing and new dynamics of capitalism, includes a survey of 307 people. The survey consists of questions that measure participants' levels of caution and anxiety regarding their personal and behavioral data, internet usage habits, digital skills, and awareness levels of data privacy breaches. The sample included students selected from the Departments of Sociology, Philosophy and Computer Engineering at Hacettepe University and technology company employees at Hacettepe Teknokent to include three different levels of technological expertise. The study found that participants were also more likely to be concerned about their behavioral and sensitive data as their frequency of daily internet use increased. Users' attitudes to behavioral data vary according to their frequency of daily internet use and the level of expertise of the participants. Participants demonstrated a high level of awareness of online profiling, but the habit of keeping data regarding their online behavior private is not widespread. When the findings are evaluated broadly, it is noted that participants with a limited knowledge of the profiling capacity of data technologies are unable to maintain behavioral data confidentiality. This research has limitations in the context of the sample's capacity to represent the research universe. However, it is thought that it will prove useful in drawing the historical background for the development of big data technologies, analysing this technology within the dynamics of capitalism and in drawing attention to the differences between users' approach to personal data and behavioral data. [ABSTRACT FROM AUTHOR]

The aim of the study is to investigate the extent to which the quality performance will be changed by transferring the processes in the coating section of the home textile production enterprise to the automation system. The effects of total quality on the efficiency of companies were investigated. The supporting role of total quality management with information communication technologies is examined. For this purpose, an intermediary model has been created. The data were obtained from the employees of the coating department of a company operating in the textile sector. As a result of the analysis of the model, the full mediation role of TQM applications in relation to TQM-ICT awareness and quality performance was determined. [ABSTRACT FROM AUTHOR]

The new Information and Communication Technologies (ICTs) have become strategic tools to promote innovation and creativity in the 21st century University. Their inductive acquisition produces significant changes in all university dimensions: teaching, research, extension and in the Institutional management as well. This work aims at designing an analytic model which allows us to infer the degree of ICT application within the University in order to capitalize on its transformational dynamism. [ABSTRACT FROM AUTHOR]

Many people point to information and communications technology (ICT) as the key for understanding the acceleration in productivity in the United States since the mid-1990s. Stories of ICT as a general purpose technology (GPT) suggest that measured total factor productivity (TFP) should rise in ICT-using sectors (reflecting either unobserved accumulation of intangible organizational capital, spillovers, or both), but with a long lag. Contemporaneously, however, investments in ICT may be associated with lower TFP as resources are diverted to reorganization and learning. We find that U.S. industry results are consistent with GPT stories: the acceleration after the mid-1990s was broad-based—located primarily in ICT-using industries rather than ICT-producing industries. Furthermore, industry TFP accelerations in the 2000s are positively correlated with (appropriately weighted) industry ICT capital growth in the 1990s. Indeed, as GPT stories would suggest, after controlling for past ICT investment, industry TFP accelerations are negatively correlated with increases in ICT usage in the 2000s. [ABSTRACT FROM AUTHOR]

The role of information technology (IT) has changed from being merely a tool for processing transactions to a weapon that can affect an organization's competitive position. Because of this change, previous organizational structures for IT groups may no longer be adequate. Organizational theorists have shown that the appropriate structure is influenced by the organization's external environment and strategy. This study contributes toward a better understanding of IT organization by exploring the relationship between the organizational structure of IT groups and the effectiveness of IT support in two companies with similar IT environments. Specifically, the study uses: (1) qualitative analysis to examine IT organizational structure in two very similar companies; (2) quantitative analysis to determine which company has more effective IT support; and (3) an expert panel to identify those differences in IT organizational structure that appear to facilitate effective IT support. Several propositions from these findings are presented and discussed. [ABSTRACT FROM AUTHOR]