The goodness of machine-part groups in cellular manufacturing systems is evaluated by different measures available in the literature. The commonly known grouping efficiency measures will be discussed in this paper. None of these measures has the ability to evaluate the efficiency of block -diagonal system and sub-system at the same time. Moreover, sparsity of individual cells was not taken into consideration in these measures. In this paper, a new grouping measure called Comprehensive Grouping Efficacy (CGE) is proposed to overcome the drawbacks of these measures. CGE is tested against some problems from the literature and the results demonstrate the ability of this measure to be used as comprehensive grouping measure since four of the well-known measures are included in the CGE formula. The superiority of CGE is that it can be used to find the efficiency of block-diagonal form, the efficiency of sub-system, sparsity index and efficacy index at the same time, which will give the designer the opportunity to control the cell size. Without knowing the efficiency of sub-systems (individual cells), the system designer will not be able to control the cell size.

The primary objective of this study was to examine the antecedents of digital transformation (DT) within multinational corporations (MNCs) in Malaysia, from the perspectives of corporate managers. Amidst limited research on DT within the MNC context, this paper examines the key drivers of DT in Malaysian MNCs. A quantitative method using non-probability sampling was used to gather the required data via the distribution of questionnaires among the MNCs’ managers. To evaluate the underlying theoretical model based on the collected data, we chose SmartPLS as the preferred method. Findings revealed that business value, digital leadership, inter-functional coordination and decision-making quality were significant drivers of DT, while DT exerted a positive influence on business performance. However, collaborative innovation did not have a significant relationship with digital transformation adoption in MNCs. The findings offer novel insights for both academics and international corporate managers, enhancing their understanding of the drivers behind DT adoption from the perspective of managers within MNCs in Malaysia.

The objective of this article is to evaluate the impact of Transformational Leadership on Organizational Innovation, Supply chain Integration and Organizational Performance. Research was carried out on 562 Vietnamese textile and garment enterprises. We use Smart PLS 3.6 software for data analysis. The results show that Transformational Leadership had a positive impact on Organizational Innovation, Supply chain Integration and Organizational Performance. In addition, the Supply chain Integration plays a role as a complete mediate in the relationship between Organizational Innovation and Organizational Performance. Size has a statistically significant moderate role on the relationship between Organizational Innovation and Organizational Performance. Finally, the leader qualification has a statistically significant moderate role in the relationship between Transformational Leadership and Organizational Performance. From the above results, we recommend the leaders of Vietnamese textile and garment enterprises to improve leadership capacity, apply a transformational leadership style to improve organizational performance.

The fundamental reason for this study was to explore the impact of Supply Chain Integration on Operational Performance through the directing part of Lean Operations. The study essential information gathered from the example that contains 288 supervisors working in Saudi Industrial Organizations lied in the western locale, utilizing an all-around planned survey. This study coordinated to study how the supply chain integration, lean operations, and operational performance can impact each other in manufacturing associations. SEM model created and deliberately surveyed and tried. The key discoveries demonstrate that rehearsing supply chain integration cycles could bring about expanding the open door for manufacturing associations to accomplish operational performance through applying lean practices. Therefore, the connection between supply chain integration and operational performance, just as the connection between lean operations and operational performance, was positive, given these connections, it very well may be presumed that the lean operations (as a directing variable) can have a positive impact the connection between supply chain integration and operational performance. Particularly, the connection between supply chain integration and quality performance measures.

The primary objective of this paper is to investigate the impact of the recruitment process on the organizational performance. It has been hypothesized in this study that an effective recruitment process could enhance the organizational process. After critically reviewing the literature, the study finds employee commitment as a key factor which affects the relationship between recruitment process and organizational performance. Therefore the second objective of the current study is to investigate the mediating role of employee commitment in the relationship between recruitment process and organizational performance. The data is collected from 247 employees of Fujairah National Group of UAE and the structural equation modeling using AMOS is used to analyze the data. The findings of the study show a great deal of agreement with the results. The findings of the study will be helpful for HR practitioners, policymakers and researchers in understanding the relationship between employee commitment, recruitment process, and organizational performance.

This paper presents RIFD-DLT, an advanced near-lossless image compression algorithm that combines Delta Encoding with the original rounding the intensity followed by division (RIFD) method. The RIFD method first minimizes the image intensities, which makes the next compression stages more efficient. Subsequently, Delta Encoding subtracts neighboring rows in each of the image's three-color matrices, using the proximity of pixel values in adjacent rows to further reduce the image intensity. Extensive investigations show that RIFD-DLT outperforms the state-of-the-art algorithms and benchmarks with respect to compression ratio and processing time. More specifically, RIFD-DLT compresses data from 11520 KBs to 2131 KBs with an 81.93% reduction and a 43.7% improvement over original RIFD-Huffman when compressing Kodak Image set. When comparing the RIFD-DLT with LICA algorithm, the total file size is reduced by 71.2%, representing a 10.73% improvement for RIFD-DLT. Also, RIFD-DLT shows notable speed gains over RIFD-Huffman, requiring only 34.62 seconds to compress and decompress all images from three datasets (Waterloo, Kodak and EPFL), as compared to 50.99 seconds for RIFD-Huffman. As for the image quality, the proposed algorithm achieved an average PSNR values of 58.51 dB, 51.3 dB, and 52.22 dB for the EPFL, Kodak, and Waterloo image sets, respectively, demonstrate the excellent image quality that persists after decompression, with a minimal distortion that is imperceptible to the human visual system and identically to the RIFD-Huffman PSNR. These findings show that, while preserving excellent image quality, RIFD-DLT provides an incredibly efficient and fast method of image compression.

The most significant impacts on the environment and society of corporate operations occur in the supply chain. Environmental impacts occur at different stages of the environmental life cycle and relate to the extraction of raw materials from the earth, the processing and manufacturing of building materials, the construction process, operation or use, maintenance and repair, repair and eventual disposal or reuse of materials. Environmental phenomena of climate change or global warming are the result of human practice. Global warming causes an increase in ocean temperatures and surface of the book, causing melting of polar ice caps and rising sea levels. Another phenomenon of waste and sewage problems has become a national and international problem. Every supply chain activity in a series of production activities has an impact on the environment. Supply chains can have different organizational structures that reflect business relationships or the level of collaboration between chain companies. This study examines the relationship of Life Cycle Assessment (LCA) with Environment Supply Chain Management (ESCM) and Sustainability Supply Chain in Manufacture in Indonesia.

The study investigates the firm’s specific characteristics of manipulated firms in East Asian emerging and developed markets using hand-collected 244 manipulated cases between 2001 and 2017. The empirical analysis is conducted using panel logistic regression to identify which stocks are more likely to be manipulated. Result shows that large and highly liquid firms were more likely to be manipulated in both emerging and developed markets. Additionally, marginal effect shows that firms with high free float and market capitalization had a higher probability of being manipulated in these markets. On the contrary, profitable firms were less likely to be manipulated in both developed and emerging markets. Limited studies have been conducted to empirically identify the characteristics of the manipulated stocks across the developed and emerging markets. The regulator can use these results to identify possible and expected manipulation and to design enforcement rules, accordingly. Further, investors can take into consideration these characteristics of manipulated stocks while designing their portfolio in order to reduce the portfolio risk.

This research aims to examine how data privacy concerns influence DOI in Digital Marketing and investigates how artificial intelligence trust mechanism integration modulates that effect. Primary data was collected by accessing the structured questionnaire targeting ZAIN Telecom employees as the chosen study site. The PLS-SEM technique was used in this research to analyze data privacy, digital marketing effectiveness, and AI-driven trust constructs. According to this study, digital marketing processes significantly focus on data privacy and, ultimately, AI-driven trust. Further, powerful AI trust systems will be required to reinforce data privacy and systematically configure and drive digital marketing enterprises. Thus, such systems could allow firms a sustainable competitive advantage in this new Battle for data security age. The findings discovered that data privacy concerns significantly impede AI-driven trust, diminishing digital marketing effectiveness. Therefore, they contribute to the literature by offering empirical support for AI-powered trust mediating between factors within a model and offering practical implications and extensions of the theoretical models. This literature helps industry practitioners and policymakers build trust in AI interventions to alleviate data privacy risks and improve support for digital marketing strategies.

Supply chain management is essential for enhancing an organisation’s position among its competitors by improving its efficiency and effectiveness. The fundamental goal of this study is to recognize the effect of the supply chain responsiveness, flexibility, and its adaptation within the Saudi Arabian business industry. The data in this study were collected from a sample of 390 participants in senior business positions, and then analysed using the multiple regression technique. The results indicated that both the measurements and model have satisfactory fit indices and showed that the three hypotheses raised in this study could be accepted. Additionally, the results demonstrated that both the responsiveness and adaptation of the supply chain exert a positive effect on how the supply chain performs. So, the faster the organisation responds and adapts to the supply chain activities, the higher performance they tend to get.