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Increasing the need for education for sustainable development in universities requires an understanding of the predictors of students’ environmental concern (EC). In this paper, the authors focus on the EC of business students because of their future responsibility for business operations regarding the exploitation of natural resources. The aim of the study is to examine the predictors of business students’ environmental concern.

Based on the Norm Activation Model as the theoretical framework, this study hypothesizes the model of EC with two main predictors: ascription of responsibility for the environment (AOR), driven by locus of control and self-efficacy (LC/SE), and awareness of positive consequences of consumption reduction on the environment (AOC), driven by perceived environmental knowledge. Structural equation modelling was applied to confirm the conceptual model based on the responses of business students from six countries (Czech Republic, Croatia, Hungary, Poland, Slovakia and Spain) collected through an online survey.

The environmental concern of business students is predicted both by the ascription of responsibility and by awareness of consequences; however, the ascription of responsibility is a stronger predictor of EC. A strong impact was found for internal locus of control and self-efficacy on AOR, as well as a weaker influence of perceived environmental knowledge on AOC.

Sustainability education dedicated to business students should provide environmental knowledge and strengthen their internal locus of control and self-efficacy in an environmental context.

This study aims to explore followers’ perceptions of leaders as predictors of performance appraisal (PA) participation and subsequent outcomes. Prior research has acknowledged the role of Leader–Member Exchange (LMX) quality in predicting PA participation. This study sought to add to this literature by investigating the effects of LMX dimensions (loyalty, affect, contribution and respect) and the effect of perceived leader prototypicality on PA participation and subsequent outcomes.

The hypothesized model proposed that the LMX dimensions and leader prototypicality would predict PA participation, and the effect of PA participation on job and reward satisfaction would be mediated through PA satisfaction. Structure equation modeling using maximum likelihood estimation was used to test these hypotheses in a sample of 216 employees at a public utility company.

Although results indicated partial support for the proposed mediated model, they also indicated more complex relationships. Leader prototypicality was related to PA participation, none of the four LMX dimensions had the predicted positive effect on PA participation, though they were differentially and directly related to PA satisfaction and job satisfaction.

Employees’ perceptions of leader prototypicality is important in engaging employee participation in the PA process, and more important to participation than was the quality of the LMX relationship. The extent to which employees participate in and subsequently experience higher levels of satisfaction with the PA process may be a reflection of how employees perceive their leader. And participation in and satisfaction with the PA process lead to increased reward and job satisfaction. Future research should incorporate supervisor perspectives of these relationships and use longitudinal design to better infer causality.

Employee perceptions of leader prototypicality are important for encouraging their participation in the PA process, which has implications for reward and job satisfaction. Therefore, supervisors would benefit from understanding the traits (such as sensitivity, confidence and intelligence) that affect their subordinates’ leadership perceptions, and should be trained on successfully demonstrate those traits. Further, exchange relationships built on loyalty and respect affected PA satisfaction directly, which also positively affected job and reward satisfaction. Thus, supervisors should be trained to build trust- and respect-based relationships with employees.

The results of this study make significant contributions to the understanding of the antecedents of employee participation in and satisfaction with the PA process. The data suggest that the effect of perceived leader prototypicality on job and reward satisfaction is mediated through PA participation. Because implicit leadership theory has not previously been studied in the PA context, this new finding makes an important contribution to the PA literature. Further, by taking a multidimensional approach to LMX, these results indicated that the dimensions of loyalty and respect were related to PA satisfaction directly, but not through PA participation.

Social interaction in comment sections has become a key factor for backers' decision making in crowdfunding platforms. However, current research on the two-way social interaction in crowdfunding is insufficient, and there exist inconsistent conclusions. This study focuses on the social interaction between creators and backers and explores its influence on the successful exit of crowdfunding projects.

The extended Cox model is used for the empirical analysis of 1,988 crowdfunding projects on the Modian (www.modian.com) platform, a crowdfunding platform for cultural and creative projects in China. The two-way social interaction is reflected in comment quantity and sentiment, as well as reply rate.

Results reveal an inverted U-shaped relationship between comment quantity/sentiment and the successful exit of crowdfunding projects. This relationship is strengthened by high reply rate.

This study focuses on comment quantity and sentiment. The inverted U-shaped results reconcile previous conclusions. Replies from creators are regarded as a separate factor, and their moderating role is explained. The study research proves the importance of social interaction in crowdfunding platforms and provides suggestions for backers, creators and platform managers.

This article describes financial professionals' perceptions of their clients' financial behaviors and the explanatory factors underlying these behaviors.

In this qualitative research, the authors seek to understand financial professionals' experiences in relation to how their clients manage their own finances. The authors conduct and analyze 26 semi-structured interviews with financial professionals from several industries within the financial sector in Canada.

The professionals in this study noted that despite their clients' financial knowledge, several other factors can explain these individuals' financial behaviors. They include psychological factors (such as financial bias, the need for instant gratification, and the lack of awareness regarding the long-term effects of certain types of financial behaviors), financial habits (such as lifestyle, financial planning and lack of discipline) and the financial system's flexibility with respect to debt financing and repayment. These perceptions are categorized according to whether they are related to debt financing or repayment, savings or investments.

By using a qualitative methodology that relies on the perceptions of financial professionals, this study aims to better understand the financial behaviors of individuals and households, and these behaviors' underlying factors. This study's findings could be useful to various stakeholders interested, in one way or another, in financial literacy, such as organizations aiming to strengthen and promote financial literacy, educators, researchers, regulatory bodies of financial institutions and financial advisers.

The purpose of this paper is to summarize the findings from focus group interviews conducted with librarians and library staff, faculty and students. It highlights the significance of implementing inclusive teaching and culturally responsive strategies in instructional settings and interactions with library patrons and seeks to emphasize the importance of developing guidelines, best practices and effective strategies.

Using focus groups, this study interviewed librarians and library staff, faculty and students. This research approach identified, reviewed and assessed existing programs and practices in instruction and library interactions.

The findings from this paper indicate that while faculty and librarians are making individual efforts to promote inclusivity in teaching and interacting with patrons, many participants expressed the necessity for institutional-level training, guidelines and good practices on how to achieve and implement culturally responsive and inclusive teaching strategies.

The methodology utilized in this study can be adapted by other libraries or institutions aiming to explore the practice of inclusive pedagogy and culturally responsive teaching within their own context. The insights from the study inform the development of strategies that librarians, faculty and staff can employ to integrate inclusive and culturally responsive teaching into their instruction and services for the wider academic community.

Many libraries and archives maintain collections of research documents, such as administrative records, with paper-based formats that limit the documents' access to in-person use. Digitization transforms paper-based collections into more accessible and analyzable formats. As collections are digitized, there is an opportunity to incorporate deep learning techniques, such as Document Image Analysis (DIA), into workflows to increase the usability of information extracted from archival documents. This paper describes the authors' approach using digital scanning, optical character recognition (OCR) and deep learning to create a digital archive of administrative records related to the mortgage guarantee program of the Servicemen's Readjustment Act of 1944, also known as the G.I. Bill.

The authors used a collection of 25,744 semi-structured paper-based records from the administration of G.I. Bill Mortgages from 1946 to 1954 to develop a digitization and processing workflow. These records include the name and city of the mortgagor, the amount of the mortgage, the location of the Reconstruction Finance Corporation agent, one or more identification numbers and the name and location of the bank handling the loan. The authors extracted structured information from these scanned historical records in order to create a tabular data file and link them to other authoritative individual-level data sources.

The authors compared the flexible character accuracy of five OCR methods. The authors then compared the character error rate (CER) of three text extraction approaches (regular expressions, DIA and named entity recognition (NER)). The authors were able to obtain the highest quality structured text output using DIA with the Layout Parser toolkit by post-processing with regular expressions. Through this project, the authors demonstrate how DIA can improve the digitization of administrative records to automatically produce a structured data resource for researchers and the public.

The authors' workflow is readily transferable to other archival digitization projects. Through the use of digital scanning, OCR and DIA processes, the authors created the first digital microdata file of administrative records related to the G.I. Bill mortgage guarantee program available to researchers and the general public. These records offer research insights into the lives of veterans who benefited from loans, the impacts on the communities built by the loans and the institutions that implemented them.