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The purpose of this paper is to report findings from research conducted to study the everyday work of information professionals, specifically records managers. This paper is a part of the “Research on the Work of 21st Century Information Professionals” study.

Researchers used the tailored design approach to create and increase response rate of our survey. Survey research methodology facilitated the development, pilot and launch of a survey instrument with a 20-question module specific to records management work.

The authors discovered the frequency of 11 tasks in records managers’ daily work, as well as how important each of 11 competencies are to their success on the job. Professional development topics and format, job satisfaction, strategies for gaining compliance, desired skills for new hires and curricular recommendations are also presented.

The survey generated 334 responses from records management professionals. This sample was based on graduate alumni, targeted professional groups and snowball strategy. Implications from this study include educating doctoral students to study information work and identifying particular areas for strengthening graduate curricula and professional training.

The authors obtained direct insight on what records managers do in their daily work that will inform curricular decision-making.

The study explores an interest in daily work activities through multiple quantifiable data measures to offer nuanced insight on the relationships between different aspects of records management work.

This paper aims to investigate the cooperative governance mechanisms for personal information security, which can help enrich digital governance research and provide a reference for the formulation of protection policies for personal information security.

This paper constructs an evolutionary game model consisting of regulators, digital enterprises and consumers, which is combined with the simulation method to examine the influence of different factors on personal information protection and governance.

The results reveal seven stable equilibrium strategies for personal information security within the cooperative governance game system. The non-compliant processing of personal information by digital enterprises can damage the rights and interests of consumers. However, the combination of regulatory measures implemented by supervisory authorities and the rights protection measures enacted by consumers can effectively promote the self-regulation of digital enterprises. The reputation mechanism exerts a restricting effect on the opportunistic behaviour of the participants.

The authors focus on the regulation of digital enterprises and do not consider the involvement of malicious actors such as hackers, and the authors will continue to focus on the game when assessing the governance of malicious actors in subsequent research.

This study's results enhance digital governance research and offer a reference for developing policies that protect personal information security.

This paper builds an analytical framework for cooperative governance for personal information security, which helps to understand the decision-making behaviour and motivation of different subjects and to better address issues in the governance for personal information security.

Owing to increased energy demands, China has become the world’s top CO2 emitter, with electricity generation accounting for the majority of emissions. Therefore, the Chinese Government aspires to achieve a low-carbon transformation of the electric industry by enhancing its green innovation capacity. However, little attention has been paid to the green development of electric technology. Thus, this paper aims to uncover the spatiotemporal evolution of electric technology in the context of China’s low-carbon transformation through patent analysis.

Using granted green invention patent data for China’s electric industry between 2000 and 2021, this paper conducted an exploratory, spatial autocorrelation and time-varying difference-in-differences (DID) analysis to reveal the landscape of electric technology.

Exploratory analysis shows that the average growth rate of electric technology is 8.1%, with spatial heterogeneity, as there is slower growth in the north and west and faster growth in the south and east. In addition, electric technology shows spatial clustering in local areas. Finally, the time-varying DID analysis provides positive evidence that low-carbon policies improve the green innovation capacity of electric technology.

The different effects of the low-carbon pilot policy (LCPC) on R&D subjects and the LCPC’s effectiveness in enhancing the value of patented technology were not revealed.

This paper reveals the spatiotemporal evolutionary characteristics of electric technology in mainland China. The results can help the Chinese Government clarify how to carry out innovative development in the electric industry as part of the low-carbon transformation and provide a theoretical basis and research direction for newcomers in this field.

The purpose of this paper is to develop a flexible design-oriented development cost method for commercial aviation aircraft based on small sample and poor information.

To predict the development cost of commercial aviation aircraft accurately, the methodology is based on the collected cost data and actual technical, and then the cost prediction relationships derived from an exhaustive statistical and filtered from regression analysis are incorporated. A series of regression equations with high regression coefficient are yielded after the cost driving factors of the development cost are fixed. Next, several sets of equations with high regression coefficient are selected for final integration. It is a flexible method that can be used efficiently to predict the cost of commercial aviation aircraft.

The development of commercial aviation aircraft has relatively a late start and no cost prediction model has been suitable for small sample, the proposed method is expected and is rather desirable.

By comparing the approach with the ordinary regression model and back propagation (BP) neural network, the scheme in this work is more efficient and convenient.

The results obtained in this paper show that the proposed method not only has a certain degree of versatility, but also can provide a preliminary prediction of the development cost of commercial aviation aircraft.

Anhui Winall Hi-Tech Seed Co., Ltd., a high-tech seed enterprise integrating crop seed research, production, processing and marketing at home and abroad, is the first seed company listed on GEM in China. Its main business is research and development, breeding and marketing of seeds of hybrid rice, edible rape, cotton, melon and vegetable, with hybrid rice as its leading product. In terms of business model, Winall Hi-tech is engaged in procurement, production, sales and promotion of modified varieties and after-sales service. However, Winall Hi-tech also has to face a few potential problems.

This study aims to explore the relationship between corporate environmental information disclosure and digital finance.

The authors used Chinese listed enterprises as the sample. Data on digital finance are from the China Digital Inclusive Finance Index published by the Institute of Digital Finance of Peking University, and corporate environmental information disclosure is collected from the China Securities Market and Accounting Research database. Multivariate regression and Stata software were used for data analysis.

The findings suggest that digital finance significantly inhibits firms’ environmental information disclosure. Digital finance increases firms’ motivation to meet low-income customers’ demands, which is achieved at the expense of environmental performance, leading to deteriorated environmental information disclosure. Furthermore, this inhibitory effect is exacerbated by managerial power but mitigated by institutional shareholdings and political connections.

The findings have important implications for policymakers and managers when formulating relevant policies regarding the co-development of digital finance and corporate environmental information disclosure.

Environmental information disclosure is a crucial element in CSR disclosure quality.

This study enriches the literature on the environmental influences of digital finance by examining the relationship between digital finance and corporate environmental information disclosure, a crucial way through which external stakeholders obtain information about corporate environmental behaviours.

The primary driver of future aviation has recently been sustainability. The rapid development of radically new, disruptive technologies and solutions should be regularly evaluated to maintain the desired trends in sustainable aviation. The purpose of this research can be listed as follows: (i) to propose a sustainable performance index and methodology (ii) to evaluate the new technologies and solutions, and (iii) apply them to evaluate the effect of technologies and solutions under development.

This paper introduces a total sustainable performance index for evaluating the sustainability; demonstrates its applicability to future development processes; recognizes the supporting new technologies and solutions by implementing their identification, evaluation and selection processes; and defines the major trends and drivers maintaining the sustainability of the future aviation.

This study has resulted in a proposed new “total sustainable performance index,” and methodology of identifying key drivers that allow defining the technology and solution-driven trends, and defines the major trends and listed technologies and solutions that may have a determining role in given trends.

There are dilemmas on taking into account the positive effects of aviation on the economy and society that may overwrite the costs and limited information about the foresight on new technologies and solutions.

It depends on access to required inputs.

Two-way effects of solid expectations of society on the possible greening of aviation can be listed as the social implication of this research.

The proposed “total sustainability performance index” totally evaluates sustainability, including a penalty, considering the policy (regulation) and interest of future generations.

This paper aims to investigate the environmental impact of various pollutant emissions including carbon monoxide (CO), carbon dioxide (CO₂), nitrogen oxide (NO_x) and hydrocarbon (HC) from aircraft exhaust gases during the landing and take-off (LTO) cycles at Eskisehir Hasan Polatkan Airport, Turkey, between 2017 and 2018.

The methodology approach used to calculate the emissions from aircrafts is based on the ICAO databank and the actual data records taken from Presidency of The Republic of Turkey Directorate of Communications (DoC).

The maximum amount of total fuel burnt during the two years is 80.898 and 70.168 tons in 2017 and 2018, respectively, while the average fuel burnt per year from 2017 to 2018 is approximately 369.773 tons. The highest CO, CO₂, NO_x and HC emissions are found to be 248.3 kg in 2017, 261.380 tons, 1.708 tons and 22.15 kg, during the 2018 year, respectively. Average CO, HC, NO_x and CO₂ emissions amount per year are observed to be 1.392 tons, 135 kg, 6.909 tons and 1,143 tons, respectively. Considering the average of total emission amount as an environmental factor, as expected, CO₂ emissions contributed the most to the total emissions while HC emissions contributed the least to the total emissions from the airport.

The study presents the approach in determining the amounts of emissions released into the interannual atmosphere and it explicitly provides researchers and policymakers how to follow emissions from commercial aircraft activities at different airports.

The value of the study lies in the transparent computation of the amounts of pollutants by providing the data directly from the first hand-DoC.

The purpose of this paper is to measure the impact of entrepreneurial profile dimensions on the career development of the youth community in Kuwait. Further, this study aims to measure the moderating effect of entrepreneurial education on entrepreneurial profile dimensions and entrepreneurial career development (ECD) relationship.

The study will use a quantitative research methodology. This study is focussed on measuring the impact of these eight entrepreneurial profiles, namely, self-efficacity; opportunity detector abilities; creativity; persistence; risk-taking propensity; sociability; planning abilities and leadership skills as independent variables on the ECD as a dependent variable. Entrepreneurship education is considered as moderating variable. A structured questionnaire is distributed to 200 students who study at the College of Business Administration, Kuwait University (KU), where 170 students responded positively and the response rate was 85%. The evaluation of the proposed model was done through structural equation modelling analysis.

The results will show how these dimensions impact the decision on the ECD.

This research is conducted only in one college of KU and the findings cannot be used to generalise the impact of these dimensions on the career development of all young people of Kuwait.

There are very few studies about entrepreneurship in general in Kuwait and this research will be an additional value and contribution in this field for a particular context. It is the first effort to measure the impact of entrepreneurial profile dimensions on career development in Kuwait, and this research will be a good base for similar studies in other Gulf Cooperation Council Countries and beyond.