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Electric vehicles are well known for a silent and smooth drive; however, their presence on the road is difficult to identify for road users who may be subjected to certain incidences. Although electric vehicles are free from exhaust emission gases, the wear particles coming out from disc brakes are still unresolved issues. Therefore, the purpose of the present paper is to introduce a smart eco-friendly braking system that uses signal processing and integrated technologies to eventually build a comprehensive driver assistance system.

The parameters obstacle identification, driver drowsiness, driver alcohol situation and heart rate were all taken into account. A contactless brake blending system has been designed while upgrading a rapid response. The implemented state flow rule-based decision strategy validated with the outcomes of a novel experimental setup.

The drowsiness state of drivers was successfully identified for the proposed control map and set up vindicated with the improvement in stopping time, atmospheric environment and increase in vehicle active safety regime.

The present study adopted a unique approach and obtained a brake blending system for improved braking performance as well as overall safety enhancement with rapid control of the vehicle.

The purpose of this paper is to develop a number of new anti‐fouling agents that are friendlier to the environment.

Seven copper(II) and cobalt complexes of 3‐(2‐furylidene) hydrazine‐5,6‐diphenyl‐1,2,4‐triazine (L) were prepared by interacting 3‐(2‐furylidene) hydrazino‐5,6‐diphenyl‐1,2,4‐triazine (L) with cobalt(II) and copper salts. The structures of the prepared complexes were confirmed by elemental analyses, IR and nujol mull electronic spectra, as well as magnetic susceptibility measurements. The anti‐fouling activity was measured on barnacle larvae.

The in vitro toxicity of the organic ligand and its cobalt and copper complexes on barnacle larvae was measured. The results indicated that the toxicity of the ligand increased upon complexation and that copper complexes are the most active ones.

Successful development of some new copper(II) and cobalt complexes of 1,2,4‐triazine that have in vitro anti‐fouling activity against barnacle larvae and might be safe to the marine environment.

The purpose of this paper is to examine the impact of adopting knowledge management systems (KMSs) on firms’ performance. Although many organizations have adopted the notion of KMS, there is little evidence on the effect of KMS on a firm’s performance, especially in an emerging economy like the Egyptian one. An intensive literature review is conducted not only to synthesize but also to establish the conceptual foundations for the systemic perspective of knowledge management and its potential impact on knowledge management performance in an emerging information and communication technology (ICT) industry. This systemic perspective fits with the evolutionary nature of such an emerging industry in Egypt.

The empirical study of this work is conducted on knowledge-intensive firms operating in the field of ICT. The paper is descriptive in nature where a quantitative research design is adopted to survey senior managers’ perceptions – from both national and multinational enterprises operating in Egypt – on the pay-off maintained from creating an integrative KMS. The primary data are collected from 90 managers holding significant top positions related to the knowledge management area. A linear simple regression test is conducted to discover the initial association between the conceptual model’s key variables.

The results of this work reveal that there is a positive association between each of the six elements that constitute a KMS, namely, knowledge: creation, acquisition, codification, sharing, transfer and measurement, and the perceived knowledge management performance. Besides, there is a significant positive association between the adopted total KMS and perceived knowledge management performance. This study provides strong evidence that KMSs are essential to improve firms’ performance. The results of t-test and analysis of variance assert that the gender, types of business, year of experience and age of respondents have no significant difference to perceived knowledge management performance resulting from KMS.

The findings reflect the fact that informants have to deploy six components that constitute a KMS to realize improvements in knowledge management performance. This work also highlights a number of findings of great value to managers in the ICT sector. Yet, the empirical study does not cover all the issues which are linked to KMS implementation. Issues such as culture, trust and leadership role in building a significant KMS are not examined in this work. Also, the generalizability of the findings to other industries must be considered carefully. Although the findings are statistically significant, the framework developed may be quite specific to the ICT organizations.

This paper enhances managers’ understanding in deploying the notion of KMSs to leverage their corporate performance. It also provides managers in emerging markets with an integrative perspective to fundamental issues that encounter them when they put those KMSs into practice.

This research advances understanding of the application and benefit of KMS in ICT firms in several ways: it provides a better understanding of KMS and practices currently being applied in the Egyptian ICT firms. There had been little or no industry-wide empirical research on this topic to date, it provides a better understanding of knowledge processes in the ICT sector; specifically, the links between knowledge acquisition, creation, codification, sharing, transfer and measurement, and their links to performance, the measurement instruments developed for this research constitute a reliable set of construct measures that provide a basis for future research.

This paper advances the knowledge management subject by synthesizing past studies into an integrative KMS that directs scholars’ attention on how to examine the notion. It is claimed that KMS help those managers improve core business processes, management decisions and, accordingly, firms’ performance. Besides, this study suggests a set of implications for managers in an emerging market that has recently adopted the notion of KMSs. This study also reflects the viewpoints and perceptions of key managers in a strongly evolving knowledge-intensive industry that has an increasing impact on the GDP of an entire nation throughout the past two decades.

Blockchain, in general, diversifies supply chain management in record-keeping and maintains authenticity. In addition, traditional issues and challenges like overflow and information overload press down mysteriously whenever the blockchain steering wheel of the supply chain turns. Factually, the miracle and twists in supply chain resilience have not been incorporated under systematic review homogeneously. As a result, this study reviews the potential impact of blockchain on logistics and supply chain (LSC) efficiency. The methodology of this study provides a subjective assessment of the utility of blockchain-based LSC performance.

On the other hand, the review reveals new insights on its current acceptance and applications, with a particular emphasis on the Limit Redundancy Mechanism and Core Information-based Direct Comparison. Prospectively, the identified facts under the research paradigm and extensive literature survey will subsidize the practices of blockchain technology and possible areas of extension in supply chain resilience in luminous fashion in the future. After all, this study materializes new solid magnitudes, adaptability, and a realistic overview of blockchain-based LSC movements.

Construction process is complex and traditionally fragmented; thus, it is almost impossible to have a project completed without changes to the original plan or the construction process. The purpose of this study is to identify and examine the causes of variation orders, ascertain their effects and establish the cost and time performance implication as a result of variation orders.

This study obtained information from 90 construction stakeholders on 30 completed educational building projects to ascertain the causes and effects of variation orders on project delivery using questionnaire survey. In addition to this, a pro forma document was designed to obtain the project characteristics, cost and time data from these 30 completed educational building projects. Factor analysis was used to categorise the causes of variation orders, while severity index was used to examine their effects on project delivery. The hypothesised statement was tested using paired t-statistics to examine whether a statistically significant difference existed between variation orders, cost and time performance of the projects.

The study identified 13 main factors as causes of variation orders and the results revealed that the most frequent effects of variations were increase in construction costs, time, client dissatisfaction, increase construction project rework and demolition and project abandonment. The results also showed that variation orders had significant effects on both cost and scheduled performance of the educational building projects with average cost and time escalation of 33.95 and 29.45 per cent of the original project cost and time, respectively, for the entire projects studied, while average cost implication of variation orders is 23.79 per cent.

The findings in this study will be of assistance to government agencies and management of public works in higher institutions of learning in managing variations in construction projects. The study will also add to the current literature on the impact of variation orders on educational building projects in developing countries. Finally, it will create the much-needed awareness on the severity and implication of change or variation orders on project delivery.

The study identified and examined the causes of variation orders, ascertained their effects and established the cost and time effects of the causes of variation order on project performance. This will assist project initiators, contractors, consultants and other stakeholders to fully appreciate and understand the significant effects of variation orders on project performance.

Employee engagement has been directly linked to organizational outcomes, and at present, improving employee engagement has increasingly been a main focus for organizations. However, studies evaluating the impact of storytelling interventions on increasing the level of employee engagement are limited. Storytelling is one of the intervention methods that can provide cognitive stimulus to employees, which in turn could change their attitudes toward work including employee engagement. The purpose of this study is to determine the effectiveness of storytelling as an intervention tool for increasing employee engagement in one of the state-owned enterprises (SOEs) in West Java, Indonesia.

This study uses a quantitative method. Employees from a West Java branch of large SOEs were randomly assigned into experimental and control groups. The research design used a pretest and a post-test with an expressive writing method to identify the extent of employee engagement by comparing participant groups and measuring the increase of employee engagement as a result of the storytelling intervention. The experimental group participated in three storytelling sessions that had been set up by panels of experts, while the control group was not given any treatment. The expressive writing analysis was conducted using software that has been developed and tested for validity and reliability. Furthermore, statistical analysis was used to test the results of expressive writing scoring to determine the impact of storytelling interventions.

Direct storytelling is proven to be one of the most effective methods of increasing employee engagement in one of the SOEs in the West Java region. The results of this study showed that there were differences between the experiment and control groups after experiencing a direct storytelling intervention where there was a significant increase in the dimensions of employee engagement. Participants in experimental group had higher scores than participants in control group in most of the employee engagement dimensions. Additionally, expressive writing methods are also proven to be able to provide a stimulus for employees in expressing thoughts, perceptions and motivations for employee engagement in the company.

As direct storytelling has not been frequently used, especially to improve employee engagement, more studies should be conducted in various settings, with different measurement tools, and in a more controlled environment to confirm the effects of the intervention.

This paper provides insight into how companies can use direct storytelling to improve the dimensions of employee engagement. Additionally, this research can also be used as a reference by companies in Indonesia, especially SOEs, for applying the same method in an effort to improve work-related attitudes, such as employee satisfaction and organizational commitment.

This study raises social implications in which employees enthusiasm increases in improving personal relationships between employees and storytellers, who are middle or upper management employees. In addition, employees also more appreciate their struggles when starting their careers, so they care more about increasing their role and involvement in the company.

This paper provides resources and information for companies and organizations to improve employee engagement through the implementation of direct storytelling. The focus of this paper is to gain information on the role of direct storytelling in improving employee engagement within a company or organization.

The oil and gas construction projects in Saudi Arabia are commonly impacted by the frequent occurrence of change orders. Therefore, this study aims at determining the factors influencing change orders in the oil and gas construction projects in Saudi Arabia.

Firstly, the factors are extracted by examining the literature and further refined through experts' feedback. Twenty-one factors were identified in this manner. Thirdly, the factors are prioritized using a questionnaire survey. Responses from 162 professionals have been collected through surveys and ranked using the significance index. The correlation between factor rankings between classes is assessed using Spearman's correlation coefficient. Lastly, using principal component analysis, a change order-related factors conceptual model is developed.

The five most significant factors were identified and ranked in a general manner or per the category involved. Four main types were involved: project management team (PMT), consultants, contractors and clients. Moreover, a change order-related factors model is proposed. The factors are grouped under four main groups: project definition and planning factors, project stakeholder-related factors, project execution-related factors and project performance and control factors.

Despite the vast factor-related literature in Saudi Arabia. Nevertheless, there has never been a study that investigates the factors influencing change orders in oil and gas projects in Saudi Arabia before. This study not only identifies the change order-related factors but also proposes a model that captures the importance of these factors. This model can aid project professionals in mitigating the impact of the most critical factors encountered during the various phases of the project.

The purpose of this study is to recognize the empirical inhibitors of knowledge management (KM)in value co-creation in the dairy production context.

This study undertook a qualitative multiple-case study strategy. The datas collected comes from five players in the dairy sector that jointly co-create value. In addition to in-depth interviews with the actors, this study considers complementary documents, with reports, management flowcharts. Content analysis was conducted based on Bardin (2011).

This study identified three empirical barriers for KM in managing value co-creation in dairy production. The inhibitors observed were related to ineffective communication among stakeholders, organizational culture and high competitiveness. This study identified that sharing and KM among actors is a way to stimulate innovative solutions via value co-creation in dairy production.

This study explores the context in the Center-South of Brazil; therefore, it is not generalizable.

The findings help the managers to deal with the KM inhibitors in the value co-creation context and define actions based on the strategies listed to overcome the barriers identified in dairy production. This study can also help managers to change the mindset of organizations by adding KM to the organizational culture, as it identifies existing barriers in the sector and contributes by suggesting attitudes and tools capable of overcoming such difficulties.

Professionals in the dairy sector, especially the small rural producer, can have access to knowledge and professional training through the value co-creation among actors in the dairy sector. In this sense, the milk quality, for example, the nutritional characteristics and traceability of the milk, can be improved for the final consumer.

This study reveals the empirical inhibitors of KM presents in the value co-creation in the dairy production context. Additionally, insights to deal with the lack of sharing information and knowledge among multiple actors.

The purpose of this paper is to develop a leadership skills development model and measure, based on its effect on organizational effectiveness and moderator effect of knowledge sharing.

Using the survey method, this paper investigates the validation of measures and model of the study. It tests the reliability and constructs validity of a leadership skills development measurement scale, created on the basis of the existing measures of leadership, organizational effectiveness and knowledge sharing. This scale is harmonized with transformational, transactional and servant leadership theories.

A structural model and measure of leadership skills development is proposed.

This study is limited by its particular population; therefore, future research need to be done to illustrate whether the current results can be generalized with other samples from different situations and cultures.

The paper provides an in depth review of leadership development, as well as developing a theory-based model and a valid and reliable questionnaire, which measures leadership skills development, effectiveness and knowledge sharing. The study results could improve the future empirical leadership development research.

Milling is a flexible creation process for the manufacturing of dies and aeronautical parts. While machining thin-walled parts, heat generation during machining essentially affects the accuracy. The workpiece temperature (WT), as well as the responses like material removal rate (MRR) and surface roughness (SR) for input parameters like cutting speed (CS), feed rate (F), depth-of-cut (DOC), step over (SO) and tool diameter (TD), becomes critical for sustaining the accuracy of the thin walls.

Response surface methodology was used to make 46 tests. To convert the multi-character problem into a single-character problem, the weightage was assessed using the entropy approach and the grey relational coefficient (GRC) was determined. To investigate the connection among input parameters and single-objective (GRC), a fuzzy mathematical modelling technique was used. The optimal performance of process parameters was estimated by grey relational entropy grade (GREG)-fuzzy and genetic algorithm (GA) optimization.

SR was found to be a significant process parameter, with CS, feed and DOC, respectively. Similarly, F, DOC and TD were found to be significant process parameters with MRR, respectively, and F, DOC, SO and TD were found to be significant process parameters with WT, respectively. GREG-fuzzy-GA found more suitable for minimizing the WT with the constraint s of SR and MRR and provide maximum desirability of 0.665. The projected and experimental values have a good agreement, with a standard error of 5.85%, and so the responses predicted by the suggested method are better optimized.

The GREG-fuzzy-GA is a new hybrid technique for analysing Inconel625 behaviour during machining in a 2.5D milling process.