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This study aims to enhance the success of Sponsored Institutional R&D Projects (SIRPs) by investigating the influence of risk dimensions over four criteria Cost overrun, Time overrun, Schedule overrun, and Quality of projects. The study identifies risk dimensions and prioritizes and explores causal relationships to guide risk mitigation strategies during project execution.

This study was conducted with qualitative data obtained through a systematic questionnaire from 10 domain experts associated with SIRPs. Through an extensive literature review, the study identifies the ten risk dimensions, Fuzzy TOPSIS was employed for prioritizing the explored risk dimensions and Fuzzy DEMATEL explored the qualitative causal relationships among these dimensions. The sensitivity analysis was conducted to validate the robustness of findings by adjusting the weightage assigned to experts.

The findings reveal financial risk as the highest ranked and business risk as the least influential among identified dimensions. The study also highlights management risk as the most significant, followed by business risk and sensitivity analysis concludes that the findings are robust, lacking significant judgment bias.

This study contributes to risk management strategies for SIRPs, to ensure timely completion within the allocated budget. The findings of the study can be implemented in other such SIRPs. The study also informs funding agencies' policies and project monitoring mechanisms and advancing project management practices

Its originality lies in being the first to systematically identify and prioritize risk dimensions, adding significant value to SIRP management and academic discourse on project management and risk analysis.

This paper aims to provide a new method to study and improve the dynamic characteristics of the four-column resistance strain force sensor through the elastomer structure design and optimization.

Based on the mechanism analysis method, the authors first present a dynamic characteristic model of the four-column resistance strain force sensors’ elastomer. Then, the authors verified and modified the model according to the Solidworks finite element simulation results. Finally, the authors designed and optimized two types of four-column elastomers based on the dynamic characteristic model and verified the improvement of sensor dynamic performance through a hammer knock dynamic experiment.

The Solidworks finite element simulation and hammer knock dynamic experiment results show that the relative error of the model is less than 10%, which confirms the accuracy of the model. The dynamic performance of the sensors based on the model can be improved by more than 30%, which is a great improvement in sensor dynamic performance.

The authors first present a dynamic characteristic model of the four-column elastomer and optimize the four-column sensors successfully based on the mechanism analysis method. And a new method to study and improve the dynamic characteristics of the resistance is provided.

The purpose of this study aims to synthesize a novel donor–acceptor dye based on phenothiazine as a donor (D) and nonconjugated spacer was devised and synthesized by condensing of 2,2'-(1H-indene-1,3(2H)-diylidene) dimalononitrile with aldehyde and the practical synthesis methodology as given in Scheme 1.

The prepared phenothiazine dye was systematically experimentally and theoretically examined and characterized using nuclear magnetic resonance spectroscopy (1H,13C NMR), Fourier-transform infrared spectroscopy (IR) and high-resolution mass spectrometry. Density functional theory (DFT) and time-dependent density functional theory DT-DFT calculations were implemented to determine the electronic properties of the new dye

The UV-Vis absorption and fluorescence spectroscopy of the synthesized dye was investigated in a variety of solvents with varying polarities to demonstrate positive solvatochromism correlated with intramolecular charge transfer (ICT). The probe’s quantum yields (Фf) are experimentally measured in ethanol, and the Stokes shifts are found to be in the 4846–9430 cm⁻¹ range.

The findings depicted that the novel (D-π-A) chromophores may act as a significant factor in the organic optoelectronics.

Against social cognitive and social exchange theories, this research paper aims to investigate the significance and interaction between perceived knowledge, involvement, trust and brand community engagement in brand communities (BC).

BC participants (n = 503) completed a cross-sectional survey for this research. Analysis was performed using PLS-SEM via SmartPLS (v. 4.1.0.2) and the novel Necessary Condition Analysis (NCA).

An integrative KITE model with positive and significant relationships of key BC constructs was established. The perceived BC knowledge influenced involvement and engagement. Furthermore, the constructs of involvement and trust were discovered to have a positive and significant impact on engagement, with trust having a substantial effect on BC engagement. The indirect effects of the trust construct via the BC knowledge and BC involvement constructs were also significant.

This research advances the existing conceptual approaches by introducing knowledge as the key BC constructs. The study illustrates that members’ knowledge about a BC facilitates their involvement in the BCs. The vital role of trust is revealed in the KITE model, as it is significantly related to BC knowledge, BC involvement and BC engagement with at least medium to large effect sizes. Notably, the role of trust is enhanced as it is the only necessary must-have (instead of “should-have”) condition to achieve high levels of BC engagement. Furthermore, the KITE model provides insights for marketers to develop a valuable BC.

In the dynamic landscape of the modern business world, the pursuit of employee well-being and satisfaction with life (SWL) has gained prominence. Yet, few studies exist on SWL among Indian working professionals. This study aims to investigate the impact of inclusive leadership (IL) on the employees’ SWL. Moreover, employing a mediation approach, the study also reveals the mediating role of workplace inclusion (WI) and career satisfaction (CS) in the relationship between IL and SWL.

The study involves a cross-sectional quantitative approach, drawing upon a sample of 279 professionals belonging to the Indian IT sector by administering standardized questionnaires. Data were analyzed using PLS through SmartPLS4.0 software.

The findings reveal a fully complementary mediating role of WI and CS in the IL–SWL relationship, supporting the hypothesized mediation model.

This finding implies that leaders, with their inclusive behavior, can significantly influence employees’ SWL when accompanied by a sense of inclusiveness and CS among employees. The study offers valuable insights for organizations and leaders seeking to enhance employee satisfaction in the IT sector, emphasizing the significance of career-focused and inclusive practices in the workplace through leadership to promote a fulfilling workplace.

This study represents a pioneering effort to integrate the relationship between IL and SWL within the Indian context, going beyond the existing literature on WI and SWL. Additionally, the research model explores the influence of WI and CS in the IL–SWL relationship, a novel approach that has not been previously investigated.

Researchers piloted a problem-based learning (PBL) activity in a master’s degree-granting strategic studies program to explore how students apply knowledge and skills learned from the curriculum to their formulation of a strategy addressing a real-world global security scenario.

This mixed-methods pilot study used ethnographic observation, participant feedback, document analysis and surveys to assess the learning and engagement of multinational postgraduate students in the context of a PBL environment.

Findings revealed gaps in students’ causal logic and literacy, as well as student discomfort with ambiguity and reliance upon heuristic frameworks over willingness to conduct substantive, current and relevant research. Additionally, observed group dynamics represented a lack of inclusive collaboration in mixed gender and multinational teams. These findings suggest foundational issues with the curriculum, teaching methodologies and evaluation practices of the studied institution.

This study highlights the need to include explicit instruction in problem-solving and causal literacy (i.e. logical reasoning) in postgraduate programs for national and global security professionals, as well as authentic opportunities for those students to practice interpersonal communication.

This study explored the different artificial intelligence (AI) applications used in academic libraries and the key factors and impediments related to their implementation.

The author applied quantitative research methods in the form of a questionnaire, using both open and closed questions. A total of 472 valid questionnaires were received from academic librarians.

The author sought responses from librarians who had implemented AI applications and those who had not, identifying the types of AI applications implemented, key factors relating to their implementation, and impediments to promoting AI. Gaps were identified between the level of support for AI applications and the negative effect of the impediments. Furthermore, the more extensive the individual and organizational knowledge activities performed by the librarians and libraries held, the more positive the attitude was librarians' attitude toward AI applications in their libraries. However, librarians recognized that AI applications are inevitable, but indicated that the difficulties of in execution have hampered the adoption of AI.

The sample data were collected in Taiwan; therefore, the data may only represent the views of Taiwanese academic librarians on AI applications. The results of this study may not apply to librarians worldwide; however, they may provide a useful reference.

The results revealed the top four AI applications that libraries would most likely implement in the near future. Therefore, AI application developers and suppliers can prioritize the promotion of these products for to academic libraries. This study revealed that funding and costs related to AI implementation were discovered to be key factors relating to implementing AI applications. Some impediments to the implementation of AI applications relate to technological problems. Several librarians suggested that managers should invest more resources at an early stage rather than reducing cutting back on human resources initially. Although worries regarding privacy and ethics were mentioned expressed by some respondents, most academic librarians did not regard these to be major concerns.

This study provides the perspectives of librarians who have implemented AI applications and of those who have not. In addition, it explores the advantages and disadvantages of AI applications, and the level of support for and impact of AI applications and promotions. This study also included a gap analysis. Moreover, individual and organizational knowledge activity scales were adopted to examine AI awareness and the perceptions of academic librarians.

Although employee overqualification is a common occurrence in the workplace, most research has focused on overqualification at the individual level rather than at the team level. Drawing on social cognitive theory, this study aimed to uncover how leaders' perception of team overqualification influenced their cognition and follow-up behavior.

We performed two studies to test our model. In Study 1, we conducted an experiment to examine the causal relationship between leaders' perception of team overqualification and leadership self-efficacy. In Study 2, a two-wave field study was conducted to test the overall model based on a sample obtained from a steel company in China.

We found that leaders' perception of team overqualification reduced leadership self-efficacy, which in turn hindered leaders' empowering behavior. In addition, leaders' social face consciousness strengthened the negative relationship between leaders' perception of team overqualification and leadership self-efficacy, such that the relationship was more negative when leaders' social face consciousness was high rather than low.

Our study contributes to the literature on employee overqualification and its effects on leaders through investigation at the team level to show how leaders respond to overqualified teams.

This study examines the antecedents and dynamics of authoritarian leadership and extends the effects of managers' sleep quality to employee behavior.

On the basis of self-regulation theory, 513 unit day samples were analyzed using cross-level path analysis and a Monte Carlo simulation test.

Managers' sleep quality is positively related to authoritarian leadership and positive emotions play a mediating role. Authoritarian leadership is positively related to employees' counterproductive behavior. Managers' sleep quality affects employees' counterproductive behavior through managers' positive emotions and authoritarian leadership.

Individuals should learn to reduce stress and maintain a positive mood. Organizations should reduce employees' overtime work and work stress and find other ways to improve employees' sleep quality.

First, we considered authoritarian leadership to be dynamic and studied it on a daily basis. Second, we studied the antecedents of authoritarian leadership from the perspective of leaders' states (sleep quality and emotions). Third, we discussed the effect of managers' sleep quality on employee behavior.