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Industrial drivetrains use wet disk clutches for safe and reliable shifting. Advances over the past decades regarding the formulation of lubricants and the composition of friction materials have led to reliable clutch systems. In this context, the friction behavior is crucial for the correct operation of the clutch. Nevertheless, the friction behavior and its influencing factors are still the object of modern research. The purpose of this study is to investigate how the choice of the steel disk influences the noise vibration and harshness (NVH) behavior of wet industrial clutches.

To investigate the influence of the steel disk on the friction and NVH behavior of industrial wet disk clutches, experimental investigations with relevant friction systems are conducted. These tests are performed at two optimized test rigs, guaranteeing transferable insights. The surface topography of the steel disk and the friction lining are measured for one friction system to identify possible relations between the surface topography and the friction behavior.

The steel disk can influence the friction behavior of wet disk clutches. Using a different steel disk surface finish, corresponding results can show differences in the shudder tendency, leading to a nonfavorable NVH behavior – different gradients of the coefficient of friction over sliding velocity cause this phenomenon.

This work gives novel insights into the friction and NVH behavior of industrial wet disk clutches. It supports engineers in the optimization of modern friction systems.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0054/

The objective of this chapter is to discuss the pathways between climate, water, food, and conflict. Areas that are exhibiting food insecurity or have the potential to be food insecure are typically located in areas that experience poverty and government corruption. Higher rates of conflict occur in areas with lower caloric intake and poor nutrition.

We identify key pathways between these variables and discuss intervening factors and compound effects.

The pathways between water, food security, and conflict are complicated and are influenced by many intervening factors. A critical examination of the literature and an in-depth analysis of the reasons for conflict suggest that food insecurity is a multiplier, or facilitator, of the opportunities for and benefits from conflict.

To most effectively reduce the risks of conflict, policies must adequately and simultaneously address each of the four dimensions of food security – availability, stability, utilization, and access. Careful attention to alleviating food insecurity will help alleviate some of the underlying rationale for conflict.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The history and prospects of European integration are both fascinating and exciting. Analysts of every aspect of this process, including its cultural, economic, financial, historical, political, and social dimensions, should recall that its main rationale remains as it has always been, to permanently end conflict and to secure peace and prosperity for all Europeans. As the European Union's (EU's) own website (see http://europa.eu.int) points out Europe has been the scene of many and frequent bloody wars throughout the centuries. In the 75-year period between 1870 and 1945, for example, France and Germany fought each other three times with huge loss of life. The history of modern European integration commenced in earnest with the realization in the early 1950s that the best way to prevent future conflict is to secure more economic and political integration. This led to the establishment of the European Coal and Steel Community in 1951, followed shortly by the European Economic Community (EEC) in 1957. Since then, the process of integration and enlargement has progressed at varying speeds, but always moving forwards. In 1967, the founding institutions of the EEC were merged to form today's European Commission (EC), the Council of Ministers, and the European Parliament. The members of the European Parliament were initially chosen by the member governments of the EEC, but direct elections commenced in 1979, and have continued every 5 years since then. The Treaty of Maastricht created the EU in 1992 and established the process of economic and monetary union (EMU) that culminated in the introduction of the euro in 12 of the 15 Member States in 2002.

This study seeks to examine the mediating role of innovative work behavior (IWB) in the relationship between entrepreneurial leadership (EL) and employee performance.

The study adopted the cross-sectional research design of quantitative approach where data were collected from 344 employees in Ghana’s food and beverages industry. The retrieved data were analyzed using descriptive and inferential statistics (partial least squares structural equation modeling).

Mainly, the study revealed that IWB positively and significantly mediated the relationship between EL and contextual and task performance (TP). The study found that EL has a significant positive relationship with task and contextual performance (CP). This indicates that leaders who demonstrate entrepreneurial qualities, such as innovation, proactiveness and risk-taking, are likely to enhance their team’s ability to complete specific tasks effectively (TP) and contribute positively to the broader organizational environment (CP).

Practically, organizations that prioritize EL qualities among managers and supervisors in the form of providing training programs, coaching and mentorship opportunities that emphasize innovation, risk-taking and pro-activeness in decision-making significantly influence their employee performance.

The originality and value of this study lie in its comprehensive exploration of the relationship between EL, IWB and performance outcomes.

Extreme natural hazard events in the Caribbean continue to result in major adverse consequences. Studies of disaster experiences have identified operational deficiencies that limited the effectiveness of disaster management policies in live emergencies. This paper reports on a study of the implementation characteristics of specific public disaster risk reduction and response measures in two Caribbean Small Island Developing States (SIDS), Trinidad and Tobago and Grenada, which may impact the success of these measures. The purpose of this paper is to examine these characteristics and their potential impacts.

The authors collected data on specific aspects of disaster risk management (DRM) policy implementation from policy documents and interviews with public DRM agencies. A sample of business entities also provided data on their interactions with public risk management measures. The data focussed on operational aspects of implementation to identify likely impacts on hazard event outcomes.

The study identifies implementation deficiencies that may hamper achievement of risk reduction objectives and limit the effectiveness of emergency response.

The findings may be instructive for other Caribbean SIDS which share similar economic and social characteristics, natural hazard exposures and potential catastrophic outcomes.

The findings suggest tactical areas of focus to enhance the operationalisation of policy.

Improved operational effectiveness will support the efforts of Caribbean SIDS to reduce the scale of adverse outcomes on people and property.

The findings of this study broaden the scope of Caribbean disaster studies to provide an insight into operational weaknesses that may be recognised and addressed prior to hazard events.

The crucial importance of innovation leadership for high technology small and medium-size enterprises (SMEs) has been suggested in the literature. However, few studies empirically examined the impact of leadership style on innovation work behavior (IWB) of employees in the context of SMEs. Furthermore, our knowledge is limited about how leaders of high technology SMEs influence the IWB of their employees. The present study explores the effect of entrepreneurial leadership on IWB of employees and introduces creative self-efficacy and support for innovation as the mechanisms through which the leaders encourage their employees' IWB in information and communications technology (ICT) SMEs in Iran.

The sample was selected from high technology ICT SMEs using the simple random sampling method and included 175 CEOs and owner-managers of the businesses. We used validated questionnaires to test the hypothesized relationships between entrepreneurial leadership, IWB, creative self-efficacy and support for innovation.

The findings show that entrepreneurial leadership has a significant and positive impact on IWB of employees in ICT SMEs. Furthermore, employees’ creative self-efficacy and leaders’ support for innovation mediate the relationship between entrepreneurial leadership and IWB. Implications of the results and suggestions for developing IWB among the employees of high technology SMEs are suggested.

The study makes important contributions to both entrepreneurial leadership and the innovation behavior literature and theory development specifically in high technology SMEs in the transitioning economy of Iran. The findings also contribute to the existing empirical studies on how entrepreneurial leadership affects IWB of employees by examining the mediating role of creative self-efficacy and support for innovation and in the settings of ICT high technology SMEs.

The purpose of this paper is twofold: to explain access to formal and informal credit in agriculture of Vietnam; and to compare the effectiveness between regular econometrics and machine learning techniques.

The multinomial logit (MNL) regression model and the random forest (RF) technique are employed for comparison purposes. To avoid heteroskedasticity, the robust covariance matrix is computed to estimate the sandwich estimator which in turn provides an asymptotic covariance matrix for biased estimators. Additionally, multicollinearity is tested among independent variables with variance inflation factors less than 3. Adequacy approach and sensitivity analysis are used to determine relevant levels of predictors. For models comparison, statistical evaluation metrics including Cohen’s κ, mean absolute error, root mean squared error and relative absolute error are employed.

The discrepancy between sensitivity analysis and adequacy approach revealed that MNL is more compatible for explaining determinants of credit participation. Due to insignificant differences in the evaluation metrics between models, the winner of choice is undetermined. Among other determinants, collateral, farmsize, income, procedure, literacy and all risk variables stand out to be critical factors when deciding borrowing schemes. While financially literate farmers tend to acquire loans from both sources, borrowing decisions against different risk sources depend on risk type and famers’ own desire to borrow.

Results of the MNL model are more consistent with literatures, which reinforce the role of collateral in the local credit scheme. Besides, financial literacy and farmers’ perception on different risk sources also influence how farmers’ borrowing strategies vary among sources.

An unreliable supply of grid electricity has a strong negative impact on industrial and commercial profitability as well as on household activities and government services that rely on electricity supply. This unreliable grid electricity could be a result of technical and security factors affecting the grid network. Therefore, this study aims to investigate the effects of technical and security factors on the transmission and distribution of grid electricity in Uganda.

This study used the ordinary least squares (OLS) and autoregressive distributed lag (ARDL) models to examine the effects of technical and security factors on grid electricity reliability in Uganda. The study draws upon secondary time series monthly data sourced from the Uganda Electricity Transmission Company Limited (UETCL) government utility, which transmits electricity to both distributors and grid users. Additionally, data from Umeme Limited, the largest power distribution utility in Uganda, were incorporated into the analysis.

The findings revealed that technical faults, failed grid equipment, system overload and theft and vandalism affected grid electricity reliability in the transmission and distribution subsystems of the Ugandan power grid network. The effect was computed both in terms of frequency and duration of power outages. For instance, the number of power outages was 116 and 2,307 for transmission and distribution subsystems, respectively. In terms of duration, the power outages reported on average were 1,248 h and 5,826 h, respectively, for transmission and distribution subsystems.

This paper investigates the effects of technical and security factors on the transmission and distribution grid electricity reliability, specifically focusing on frequency and duration of power outages, in the Ugandan context. It combines both OLS and ARDL models for analysis and adopts the systems reliability theory in the area of grid electricity reliability research.

The purpose of this study is to test the thesis that the family firm’s success hinges on effective strategic knowledge management (SKM) capability coupled with an entrepreneurial orientation (EO). Contingency theory holds that entrepreneurial success is contingent on strategic capabilities and resource orchestration theory explains how well family firms nurture capabilities to structure, bundle and leverage resources that define competitive advantage (CA). This study combines these two theoretical viewpoints to propose the effects of EO and SKM capability on CA to achieve successful performance in family firms.

This study uses a hybrid approach applying structural equation modelling (SEM) and deep-learning artificial intelligence (DL-AI) analysis to survey data on 268 Malaysian family firms.

SEM results confirm that CA mediates the relationship between innovativeness, proactiveness and risk-taking dimensions of EO and firm performance. Autonomy and competitive aggressiveness have no bearing, however. The relationships among innovativeness, proactiveness and risk-taking with CA and performance are positively moderated by SKM capability, becoming more potent at higher levels. Moreover, four additional DL-AI models reveal the necessity of specific EO dimensions and the interacting effects of EO–SKM capability to influence CA and to attain performance success subsequently.

This study theorizes and presents two new boundary conditions to a knowledge-based theory of the family firm and its firm performance. First, CA mediates the relationship between EO and performance; and second, SKM capability moderates the relationships between EO and CA and between EO and family firm performance. Methodologically, this study uses DL-AI to embrace non-linearity and prioritize predictor variables based on normalized importance to produce greater accuracy over regression analysis. Hence, DL-AI adds methodological novelty to the knowledge management and family firm literature.