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The purpose of this research is to examine the relationship between exploitative leadership and employee innovative behavior and explore the mediating role of relational attachment and the moderating role of high-performance work systems (HPWSs).

This research collected data from 374 employees and their direct supervisors in 75 teams and tested a cross-level moderated mediation model using multilevel path analysis.

The results suggest that (1) exploitative leadership has a negative impact on employee innovative behavior; (2) relational attachment mediates the relationship between exploitative leadership and employee innovative behavior; (3) HPWS positively moderates the relationship between exploitative leadership and relational attachment and (4) HPWS moderates the mediating mechanism from exploitative leadership to employee innovative behavior.

The empirical findings suggest that organizations should make efforts to prevent exploitative leadership. Moreover, managers should pay attention to the important role of relational attachment in promoting employee innovative behavior and realize the role of HPWSs in facilitating the negative effects of exploitative leadership.

This research identifies relational attachment as a key mediator that links exploitative leadership to innovative behavior and reveals the role of HPWSs in strengthening the negative effects of exploitative leadership on employee innovative behavior.

In real-world cases, it is common to encounter mixed discrete-continuous problems where some or all of the variables may take only discrete values. To solve these non-linear optimization problems, the use of finite element methods is very time-consuming. The purpose of this study is to investigate the efficiency of the proposed hybrid algorithms for the mixed discrete-continuous optimization and compare it with the performance of genetic algorithms (GAs).

In this paper, the enhanced multipoint approximation method (MAM) is used to reduce the original nonlinear optimization problem to a sequence of approximations. Then, the sequential quadratic programing technique is applied to find the continuous solution. Following that, the implementation of discrete capability into the MAM is developed to solve the mixed discrete-continuous optimization problems.

The efficiency and rate of convergence of the developed hybrid algorithms outperforming GA are examined by six detailed case studies in the ten-bar planar truss problem, and the superiority of the Hooke–Jeeves assisted MAM algorithm over the other two hybrid algorithms and GAs is concluded.

The authors propose three efficient hybrid algorithms, the rounding-off, the coordinate search and the Hooke–Jeeves search-assisted MAMs, to solve nonlinear mixed discrete-continuous optimization problems. Implementations include the development of new procedures for sampling discrete points, the modification of the trust region adaptation strategy and strategies for solving mix optimization problems. To improve the efficiency and effectiveness of metamodel construction, regressors f defined in this paper can have the form in common with the empirical formulation of the problems in many engineering subjects.

This study aims at two objectives, i.e. first, to identify the core elements of the Islamic fintech ecosystem, and second, to use the identified core elements to analyse the development of such an ecosystem in Indonesia.

This work combines data analytics of text mining with qualitative analysis of human intelligence in two steps. First, knowledge discovery of the Islamic fintech ecosystem’s core elements using a sample of eight academic articles totalling 102 pages and 75,082 words. Second, using the identified core elements from step one to explore such ecosystem development in Indonesia. This stage employs a sample of 11 documents totalling 371 pages and 143,032 words from cyberspace.

The core elements of the Islamic fintech ecosystem identified are financial customers, fintech startups, government, technology developers, traditional financial institutions and fatwa (Islamic legal opinion). Furthermore, the development of the Islamic fintech ecosystem in Indonesia is examined under these identified core elements, providing critical insights into the Islamic fintech ecosystem currently established in the country's industry.

This study primarily used semi-structured data from cyberspace. Traditional approaches to qualitative data collection, e.g. focused group discussions and interviews, may be beneficial for future studies in addressing the Islamic fintech ecosystem issues.

Academia worldwide may benefit from this work in incorporating knowledge of Islamic fintech ecosystem’s core elements into Islamic finance literature. Specifically, fintech stakeholders in Indonesia may be advantaged to understand how far the Islamic fintech ecosystem has grown in the country.

The rise of unethical fintech peer-to-peer lending shows social problems in Indonesia’s fintech industry. The finding derives social implications that elucidate the current state of the country’s Islamic fintech ecosystem.

Using a kind of big data (i.e. semi-structured text data) from cyberspace and applying steps of text mining combined with qualitative analysis, may contribute to the creation of novelties for qualitative research on financial issues.

The purpose of this study is to investigate the application of non-destructive testing methods in measuring bearing oil film thickness to ensure that bearings are in a normal lubrication state. The oil film thickness is a crucial parameter reflecting the lubrication status of bearings, directly influencing the operational state of bearing transmission systems. However, it is challenging to accurately measure the oil film thickness under traditional disassembly conditions due to factors such as bearing structure and working conditions. Therefore, there is an urgent need for a nondestructive testing method to measure the oil film thickness and its status.

This paper introduces methods for optically, electrically and acoustically measuring the oil film thickness and status of bearings. It discusses the adaptability and measurement accuracy of different bearing oil film measurement methods and the impact of varying measurement conditions on accuracy. In addition, it compares the application scenarios of other techniques and the influence of the environment on detection results.

Ultrasonic measurement stands out due to its widespread adaptability, making it suitable for oil film thickness detection in various states and monitoring continuous changes in oil film thickness. Different methods can be selected depending on the measurement environment to compensate for measurement accuracy and enhance detection effectiveness.

This paper reviews the basic principles and latest applications of optical, electrical and acoustic measurement of oil film thickness and status. It analyzes applicable measurement methods for oil film under different conditions. It discusses the future trends of detection methods, providing possible solutions for bearing oil film thickness detection in complex engineering environments.

The purpose of this study is to investigate the impact factors towards the use of mobile banking among the asnaf for efficient zakat payments by using the unified theory of acceptance and use of technology (UTAUT2) model with additional constructs such as religiosity, attitude and trust (initial trust model) in the Malaysian context.

The structural equation modelling is used to analyse the data collected from 470 asnaf in Selangor, Malaysia, using the survey methodology.

This study highlights factors that could influence the asnaf to adopt financial technology (fintech) in order for them to enjoy the benefit of efficient zakat distribution by the zakat institutions.

This study only investigates and contributes added value from the Malaysian context. While it may be similar to other countries that share similar demographic profiles, it might differ for countries that do not have any demographic similarities with Malaysia.

The result of this study highlights the significant factor that practitioners (zakat institutions) in Malaysia could improve fintech adoption and at the same time enhance the efficiency of zakat distribution for the asnaf.

This research is basically addressing Islamic social financing. Thus, this study has social implications to address the society's poverty eradication scheme pertaining to the efficiency of zakat institutions in Malaysia for the speedier zakat payments to the asnaf. However, other emerging issues also arise particularly in using the zakat funds by the zakat institutions. By right whatever expenditure that the institutions use from the zakat funds need to have the consent from the asnaf because of their religious and legal rights. Hence, this new gap found from the findings of this study could be further explored by other researchers in future studies especially focusing on the drive towards more efficient administration by the zakat institutions of Malaysia in particular and other zakat institutions spread over Muslim countries elsewhere.

This study found that the UTAUT2 model is rarely used and adopted in investigating technology acceptance and adoption especially when it is related to religious matters such as zakat. Indeed, the findings of this study could be acknowledged as something of original value and significance, therefore contributes to the body of knowledge in this field.