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The purpose of this article is to address research gaps relating to agency and institutionalism in new institutional theory (NIT) and institutional work (IW) and use the critical sensemaking (CSM) approach to bridge the debates around agency, especially on issues of language and discourse, actor network theory (ANT) and history.

A conceptual analysis of the literature is performed to discuss issues of agency in IW and CSM in organizations, and examples of empirical studies are used to illustrate connectivity, contrast and fusion.

The analysis illustrates points of distance (rather than disconnect), but most importantly, connectivity and the potential for further developments between the literature on IW and CSM.

Discussion around new possibilities to focus on agency has the potential to contribute to humanist thinking about the (agentic) character of organizations and the potential for social change.

The article contributes to the discussion of agency in the organization through a starting point (i.e. CSM) outside of NIT.

This study investigated whether job resources (i.e. strengths use support, career self-management and person–job [PJ] fit) moderate the relationship between perceived involvement in a career accident (PICA) and work engagement.

The study adopted a time-lagged design (N = 398; 69% male), and data were collected at two-point of measurements among Nigerian university academics.

Results of the present study indicated that employees with higher PICA scores reported low work engagement. Strength use support had significant direct positive main effects on employee work engagement and also produced a significant moderation effect between PICA and work engagement. Career self-management (CSM) was positively related to employee work engagement. The moderation effect of CSM on the relationship between PICA and work engagement was also significant. Results of the present study further indicated that P-J fit was related positively to work engagement and also moderated the negative relationship between PICA and work engagement.

Dearth of employment opportunities has led individuals to choose their career by chance, but empirical studies that validate this assertion are lacking. Few available studies on career accident were exclusively conducted in Western European contexts. The current study therefore deepens the understanding of career accident and work engagement in a neglected context such as Nigeria.

The effect of vicarious learning during clinical or medical internships on graduates' adaptive career behaviours has attracted scant attention from healthcare researchers, particularly, in the developing world context. Drawing upon the social cognitive career theory model of career self-management (SCCT-CSM), the current study examines how vicarious learning influences the clinical graduates' adaptive career behaviours (i.e. career exploration and decision-making) via career exploration and decision-making self-efficacy (CEDSE) and career intention.

Data were collected from 293 nursing graduates undertaking clinical internships in 25 hospitals across Nigeria who willingly participated in this study as they were also assured of confidentiality at two-waves. The proposed hypotheses were tested using a path analysis.

The findings showed that vicarious learning during clinical internship had a direct effect on career exploration, decision-making and career decision self-efficacy among graduate trainees. Also, the findings revealed that the effects of vicarious learning on the graduates' career exploration and career decision-making were significantly mediated by career decision self-efficacy and career intentions.

The findings of this study have important practical implications for higher education institutions and industries that send and receive clinical graduates for clinical internships to gain more skills. More emphasis should be on encouraging learners to learn vicariously in addition to other forms of learning experiences available during clinical internships.

The study explains that the graduates' higher engagement in clinical career exploration and decision-making was based on a higher level of vicarious learning during internships. The results suggest that higher education institutions and healthcare service providers can derive greater benefits from more emphasis on promoting vicarious learning during clinical internships.

This study aims to understand how employability capitals’ dynamics foster self-perceived employability (SPE) among students and graduates, which is still being empirically explored. Building upon the Employability Capital Growth Model and the Social Cognitive Career Theory’s career self-management model, we aimed to understand how different capitals associate by testing a serial mediation model connecting career identity (reflecting career identity capital) and SPE through the serial mediation of cultural capital and job interview self-efficacy (ISE) (an element of psychological capital).

We adopted a two-wave design involving 227 Italian University students and graduates. We recruited participants through multi-channel communication. The hypothesised relationships were analysed employing the structural equation modelling approach with the SPSS AMOS statistical package.

The results indicated that career identity, cultural capital, ISE and SPE are meaningfully related. In particular, in line with our expectations, we observed that career identity predicts cultural capital, which is positively associated with ISE which, ultimately, impacts SPE.

Our work adds to existing research by advancing the understanding of employability capitals, explaining how they interact and influence SPE, which is crucial for a sustainable transition into the workforce. At a practical level, our findings call upon, and guide, efforts from various stakeholders in the graduate career ecosystem (i.e. universities and their partners) to offer students and graduates meaningful experiences to form and use their employability capitals.

This paper aims to present a literature review of the most recent optimisation methods applied to Credit Scoring Models (CSMs).

The research methodology employed technical procedures based on bibliographic and exploratory analyses. A traditional investigation was carried out using the Scopus, ScienceDirect and Web of Science databases. The papers selection and classification took place in three steps considering only studies in English language and published in electronic journals (from 2008 to 2022). The investigation led up to the selection of 46 publications (10 presenting literature reviews and 36 proposing CSMs).

The findings showed that CSMs are usually formulated using Financial Analysis, Machine Learning, Statistical Techniques, Operational Research and Data Mining Algorithms. The main databases used by the researchers were banks and the University of California, Irvine. The analyses identified 48 methods used by CSMs, the main ones being: Logistic Regression (13%), Naive Bayes (10%) and Artificial Neural Networks (7%). The authors conclude that advances in credit score studies will require new hybrid approaches capable of integrating Big Data and Deep Learning algorithms into CSMs. These algorithms should have practical issues considered consider practical issues for improving the level of adaptation and performance demanded for the CSMs.

The results of this study might provide considerable practical implications for the application of CSMs. As it was aimed to demonstrate the application of optimisation methods, it is highly considerable that legal and ethical issues should be better adapted to CSMs. It is also suggested improvement of studies focused on micro and small companies for sales in instalment plans and commercial credit through the improvement or new CSMs.

The economic reality surrounding credit granting has made risk management a complex decision-making issue increasingly supported by CSMs. Therefore, this paper satisfies an important gap in the literature to present an analysis of recent advances in optimisation methods applied to CSMs. The main contribution of this paper consists of presenting the evolution of the state of the art and future trends in studies aimed at proposing better CSMs.

This study established and examined a moderated mediation model connecting family motivation with proactive career behavior (PCB). Drawing on social cognitive career theory model of career self-management and person-environment fit theory, the authors posit that the influence of family motivation on PCB is mediated by career goal setting (CGS) and moderated by career support climate (CSC).

Using multilevel modeling techniques, data were collected from 98 leaders and 416 employees at two-time points.

Results show that family motivation has a positive direct and indirect effect on PCB through CGS. Additionally, CSC strengthens the positive effect of family motivation on PCB through CGS.

For employees, proactive career management and the establishment of clear career goals are vital for fulfilling family responsibilities. Simultaneously, for managers and organizations, creating a supportive work environment is crucial to encourage employees in career management.

While existing research highlights the detrimental effect of fulfilling family caregiving responsibilities on employees' career development, the comprehension of this relationship remains limited. Taking a family motivation perspective, this study explores the mechanisms through which family motivation stimulates employees to engage in PCB, with a specific focus on the moderating influence of CSC. The findings offer fresh insights into the role of family motivation in career development, contributing significantly to the broader literature on the intersection of family and careers.

Drawing on the social cognitive model of career self-management (CSM model) and deep learning theory, the authors' study aims to investigate the effect of knowledge sharing on career adaptability and explore how and when this effect occurs. The authors proposed a moderated sequential-mediation model linking knowledge sharing, knowledge depth, self-efficacy and career adaptability, moderated by reflective thinking.

The authors used a field survey involving 611 employees working in different enterprises in China to test the authors' predictions. For supplementary validation, the authors conducted a scenario-based experiment with a distinct sample of 148 employees from Chinese enterprises. The authors used hierarchical regression analysis, ANOVA analysis and moderated sequential-mediation analysis to test the hypotheses.

The results indicated a positive effect of knowledge sharing on career adaptability, sequentially mediated through knowledge depth and self-efficacy. Additionally, reflective thinking strengthened the positive effect of knowledge sharing on knowledge depth and further moderated the sequential mediating effect.

Previous research has predominantly focused on the perspective that individuals act as “recipients” from the environment in developing career adaptability. Instead, the authors adopt a “giving” perspective by investigating the influence of knowledge sharing on career adaptability, which advances the existing knowledge on the predictors of career adaptability.

This study aims to assess each of the seven segments of the Akbarieh Garden as the World Heritage Cultural Landscape. First, we wanted to identify the macro elements that dominated one's perception within each area. Then, we wanted to identify the micro elements that support the vista in its entirety.

To acquire data, we used a Participant Observer (PO) method as part of a Continuous/Stop-Motion (CSM) procedure. The identification of macro elements came from retrospective recollections derived from the continuous walk method—the stop-walk method allowed for the identification of micro elements. The data gained from this method is then used to understand how one interprets and responds to large—multi-segmented sites such as the Akbarieh Garden.

The results of this study show the Continuous/Stop-Motion method yielded predictable results with macro elements and elements of interest being easily recalled. However, the use of photographing for the stop-walk method revealed a similar focus on the macro element. We had hypothesized that the micro elements would be the elements of fascination and discovered when the person remained in the area to photograph scenes of interest. However, the PO photographed the macro elements. It wasn't until the post photo analysis that the PO identified some of the micro elements would be the elements of fascination and discovered when the person remained in the area to photograph scenes of interest. However, the PO photographed the macro elements. It wasn't until the post photo analysis that the PO identified some of the micro elements. The post photo discoveries suggest that real-time experience of micro elements is undervalued.

There is no general discussion on this topic yet amongst professionals. The initiative of the Participant Observer (PO) method as a tool for perception the historic gardens and landscapes identified that gap and its related necessity to provide guidance. As is true for exploratory studies, these results provide a foundation for further study. The use of the Continuous/Stop-Motion method was ideal for this study.

This paper aims to understand what reflexivity means and explores which types of reflexivity could be applied within social marketing practice as a critical approach to overcoming failures.

This paper is a critical literature review.

The study proposes a typology for a reflexive approach to social marketing practice to overcome failures. The typology is built on self and critical reflexivity, simultaneously allowing social marketers to reflect on external and internal factors that may affect the individual's role and could negatively affect social marketing practice unless otherwise considered. The types of reflexivity discussed are not prescriptive; instead, the authors intend to provoke further discussion on an under-researched but vital area of social marketing.

The proposed typology is conceptual; an empirical investigation to gain social marketer's views would further enhance the effectiveness of the applications of the typology.

Social marketers could use the proposed typology for future practice.

This is the first study that conceptualises various types of reflexivity within social marketing practice to overcome failures.

This study aims to explore the relationships between career competencies and job search self-efficacy via the serial multiple mediation effect of career adaptability and self-perceived employability within multiple theoretical frameworks.

This study adopts a cross-sectional design to collect data at a specific point in time and employs self-report questionnaires to collect data from participants. In total, 302 students from the “management and organization department” in a vocational school of a public university completed the survey forms. To test the hypothesized model, a serial multiple mediation analysis was performed using structural equation modeling (SEM) via SPSS (Statistical Package for Social Sciences) AMOS (Analysis of Moment Structures).

The results indicated that career competencies, career adaptability, job search self-efficacy and self-perceived employability all had significant and positive relationships. Additionally, the relationship between career competencies and job search self-efficacy was serially mediated by career adaptability and self-perceived employability as anticipated.

Considering the growing importance of the subject of how universities might better prepare their graduates for the job market, the study's findings have important policy implications. University students should also be provided with career management resources, specifically adaptation resources, to help them navigate their individual characteristics and transfer more successfully into the existing job market. This is the cause of the need for constant planning, adaptation, assessment and evaluation of career competencies in current labor markets.

The study contributes to international career development and vocational education research by filling a gap in the literature by demonstrating that job search self-efficacy, which is a predictor of job search behavior, can be promoted by career competencies, career adaptability and self-perceived employability. These findings are particularly significant because they highlight the importance of career-related knowledge, skills and abilities in engaging university students seeking employment in a developing country with a highly competitive labor market.