Innovation is one of the key factors distinguishing organizations from competitors in today’s high-ly competitive markets. Therefore, improving innovative performance is critical for creating com-petitive advantage. On the other hand, availability of information and knowledge can be defined as one the best ways to increase the innovation ability of organizations. Many theorists as well as practitioners emphasize on knowledge management as an enabler in enhancing organizational inno-vation. Hence, This study is carried out in the Fars governor in Iran during the year of 2017 to in-vestigate the relationship between the knowledge-based leadership and knowledge management and innovation performance. This study is descriptive / survey and the data collection is a cross-sectional and data questionnaire is used to collect the required data. Data analysis and hypotheses testing have indicated a significant relationship between knowledge-based leadership and knowledge management and innovation performance in Fars governor. The results also suggest a relationship between knowledge-based leadership and the knowledge management activities with a coefficient of 0.97. In addition, There is also a positive and meaningful relationship between knowledge management and innovation performance with a coefficient of 0.73 and between knowledge-based leadership and innovation performance with a coefficient of 0.73. The results al-so led to the existence of a relationship between knowledge based leadership, knowledge manage-ment practices and innovation performance with a coefficient of 0.7081.

The presence of heterocyclic moiety in diverse compounds, strongly indicative of the desired effect on physiological activity, and it reflects on efforts to find useful synthetic drugs. In this connection, here reporting the synthesis and characterization of 5-[substituted]-1, 3, 4-thiadiazol-2-amines (1-7). All the prepared compounds were characterized by spectroscopic viz. ¹H-NMR, ¹³C{¹H}-NMR, FT-IR, and LC-MS. The results of the DNA binding interactions using absorption and fluorescence spectroscopy reveal that the compounds are avid binders to DNA. A DNA cleavage study with pUC18 DNA using gel electrophoresis indicates the compounds are able to cleave DNA in presence of oxidant H₂O₂.

The purpose of this research is to design a crisis management model in the archival centers of Iran during the pre-crisis phase. The present study was conducted with a qualitative approach using the Grounded theory method. The necessary data was collected using semi-structured interviews. Data saturation was a major factor in determining the sample size. The research population included 20 crisis management specialists and managers of archives in Iran and the data analysis was performed in three stages: open, axial, and selective coding. The paradigmatic model derived from the findings of the research includes the sections of the causal conditions, strategies, intervening conditions and the underlying conditions and their outcomes. The causal conditions are located in two categories of internal crises such as biological crises and lack of proper management, and external crises such as natural disasters, fires and human-made crises. Intervener conditions and backgrounds include cat-egories such as lack of specialist staff training, lack of appropriate environmental conditions and management mechanisms, archival building and human resources issues. To prevent and mitigate the effects of the crisis in archives, some strategies are required such as modern education for resil-ience, teaching how to use documents, standardizing buildings and equipment (non-use of steel skeletons in building archives, use of concrete skeletons Armed or metal, as well as the use of walls and doors and floors of anti-fire covers) in the building of archives and the establishment of multi-layer protective systems for the protection of documents.

The paper aims to pinpoint and assess the perceived advantages and disadvantages of the Public-Private Partnership (PPP) for road development in India. Main PPP project contributors in Indian PPP road projects were polled via questionnaire. A literature review was used to select fifteen favourable characteristics and thirteen unfavourable factors for the questionnaire. Descriptive statistical analysis is used to analyze the data that was collected. The elimination of government financial restraints, project cost and time management, the reduction of government funds committed to capital investment, improved maintainability and accelerated project development are the key positive characteristics that draw PPP in Indian road projects. Excessive participation restrictions, protracted negotiating delays, ambiguity surrounding government objectives and evaluation standards, a lack of employment possibilities, and a lack of experience and the necessary skills make PPP undesirable. Both the public and private sectors can benefit from PPP in various ways. All sectors must make decisions based on proper assessment criteria during the project development stage. The decision-makers of PPP projects benefit early on from thoroughly understanding both positive and negative elements.

A group of new fluoroaniline Schiff bases (3a–3f) were synthesized and structurally characterized by various spectroscopic techniques such as ¹H-NMR, LC-MS and FT-IR spectral studies. All compounds were evaluated for in vitro antibacterial activity. Compounds exhibited good to moderate antibacterial activity. Compound 3f (Zone of Inhibition = 10.08±0.06 µM) was found to be the most active one, and comparable to the standard Streptomycin (IC50 = 15.95±0.08 µM). The compounds having chloro substituent exhibit good membrane damage property against Methicillin-resistant Staphylococcus aureus (MRSA) confirmed by SEM analysis. Structure-activity relationship (SAR) was rationalized by looking at the varying structural features of the molecules.

Several studies have made known that internet banking (IB) implementation is not only advanta-geous for banks, but also by perception and experience of IB users. Therefore, little is known about factors propelling user’s intention to adopt internet banking in Pakistan. Thus, the purpose of this research is to investigate the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. A quantitative approach based survey was conducted to col-lect the data from 398 internet banking users. For statistical analysis structural equation model (SEM) approach was used. The result of this study indicates that, UTAUT model provided a good theoretical foundation in technology adoption investigation. Findings confirmed that all four predic-tors (performance expectancy, effort expectancy, social influence and facilitating condition) were significant and had significant amount of variance in predicting user’s intention to adopt internet banking. Additionally, the IPMA test revealed that performance expectancy was the most important factor among all other variables to predict user’s intention towards adoption of internet banking. Lastly, managerial implications, limitations and future recommendations are discussed.

The industry has expressed significant concern regarding the issue of parallel machines and the influence of learning and deterioration. This research investigates non-identical parallel machine scheduling, taking into account the simultaneous consideration of learning effects, deterioration, and past-sequence-dependent setup times. Due to the existence of uncertain parameters in real-world scenarios, the processing times and due dates are assumed to be triangular fuzzy numbers. A fuzzy nonlinear mathematical model with two objective functions is presented and solved using the fuzzy Chance Constraint Programming approach. The two objectives are the summation of earliness and tardiness, as well as makespan. To achieve an efficient near-optimal Pareto front for the problem, a hybrid NSGA-II and VNS multi-objective meta-heuristic is proposed and the results are discussed. Finally, the augmented ε-constraint method is utilized to address issues with small dimensions. The computational analysis demonstrates the effectiveness of this proposed algorithm in tackling problems, especially those with substantial dimensions.

This paper reports on a new experimental study for the behaviour of reciprocally connected and supported Fibre Reinforced Polymer (FRP) hollow square profiles axially loaded under several boundary conditions. The study aims to determine the ultimate load of the assembly and failure mechanism of mutually connected units. For the tests, FRP reciprocal frames units (RF) of 100 × 100 × 6.4 mm thick square hollow sections were designed, fabricated and assembled using mechanical fasteners. A bespoke steel test rig allowed for varied support boundary conditions. The observed failure modes were dominated by web buckling, bearing failure around the bolted areas and localised failure. The 100 × 100 mm RF unit achieved the highest load capacity of 16.4 kN and frame stiffness of 1.7 kN/mm, under the pin-pin-roller support boundary conditions. This paper presents the experimental procedure, results and observations.

This bibliographical review gives us a clear and summarized analysis of the management tools for a water infrastructure construction project and, a tool that allows the management of water resources through the application of everything analyzed and compiled in scientific articles obtained from the Scopus database and after that it was analyzed using the VOSviewer tool, which has the complexity of analyzing a large amount of data. This analysis was carried out from the appearance of the first related investigations until the year 2023, analysis graphs were obtained from representative levels of the words “artificial intelligence”, “project management” of “construction” and “water” resource with greater interest in the analysis. The results obtained allowed us to understand the great variety of technological tools that are available today to be able to manage the construction of a project through artificial intelligence and its components that work together, likewise the application of these tools is carried out by countries as well as the United States. The United States and China are the ones that represent the greatest interest in these investigations, however this contribution is minimal to be able to generate effective solutions since each project presents its particular characteristics that technology has to adapt to. The future of these projects was also analyzed, such as the management of water resources through intelligent technologies that allow the preservation, care and maintenance of water resources, in addition to this, it is emphasized that worldwide there are already problems of droughts, lack of water resources and shortages of water in some countries. This research has the purpose of an overview for decision-making in the execution of the project at the water level and after the management of the water resource, it is important to apply these tools for their different advantages and carry it out to large-scale works in Peru subsidized by the Peruvian state since they are the most responsible for ensuring the care, maintenance and preservation of water resources.

In this paper, the authors proffer a novel mathematical model for the simultaneous optimization of facility location and network design in the presence of uncertainty, with the aim of minimizing operational and transportation costs. The proposed model constitutes a departure from conventional methods in its consideration of probable events in the real world and the incorporation of uncertainty assumptions into the mathematical framework. An algorithm based on simulated annealing is then advanced for the solution of the problem, and the performance of the algorithm is evaluated through comparison with exact methods for problems of modest size, as well as with a basic simulated annealing algorithm for larger problems. The results of these comparisons demonstrate the superiority of the proposed meta-heuristic algorithm. Finally, the robust approach is compared with four other approaches in the presence of uncertainty, with a thorough analysis of the results obtained from each of the methods conducted in a suite of sample problems.