Purpose: Digital transformation (DT) in the semiconductor industry goes beyond traditional business operations and supply chain management (OSCM) to the digital world. Despite significant developments in recent years, blockchain implementations for OSCM remain relatively underdeveloped in the semiconductor industry. Therefore, this research aims to examine the relationships between blockchain visibility, supply chain integration (SCI) and supply chain performance (SCP) in the era of DT in Malaysia's semiconductor industry to shed light on this emerging area.Design/methodology/approach: A convenience sampling of 71 operations and supply chain managers attached to semiconductor manufacturing firms in Malaysia were invited to participate in a survey. In assessing blockchain visibility within the industry, key terms namely business intelligence gathering, information exchange, information technology (IT) and knowledge of asset status, were conceptualised from the literature review. The questionnaires developed to collect data were validated by industry and academic experts.Findings: The results from the analysis confirmed that SCI mediates the link between blockchain visibility (information exchange, business intelligence gathering and knowledge asset status) and SCP. Likewise, the importance-performance matrix analysis (IPMA) outcomes revealed that IT played a minor role. The results suggested that semiconductor manufacturers should pay less attention to IT since this was identified as having the least priority towards improvement.Practical implications: The outcomes from this research enable policymakers to strategise and integrate blockchain technology in the era of DT to ensure sustainable SCM in the semiconductor industry in Malaysia.Originality/value: The research bridge the knowledge gap by revealing the value that blockchain visibility can facilitate SCP and explore SCI as the prevailing factor and demonstrates how Resource-Based Theory and Network Theory can be applied in this study.

Music genre classification has a significant role in information retrieval for the organization of growing collections of music. It is challenging to classify music with reliable accuracy. Many methods have utilized handcrafted features to identify unique patterns but are still unable to determine the original music characteristics. Comparatively, music classification using deep learning models has been shown to be dynamic and effective. Among the many neural networks, the combination of a convolutional neural network (CNN) and variants of a recurrent neural network (RNN) has not been significantly considered. Additionally, addressing the flaws in the particular neural network classification model, this paper proposes a hybrid architecture of CNN and variants of RNN such as long short-term memory (LSTM), Bi-LSTM, gated recurrent unit (GRU), and Bi-GRU. We also compared the performance based on Mel-spectrogram and Mel-frequency cepstral coefficient (MFCC) features. Empirically, the proposed hybrid architecture of CNN and Bi-GRU using Mel-spectrogram achieved the best accuracy at 89.30%, whereas the hybridization of CNN and LSTM using MFCC achieved the best accuracy at 76.40%.

Cross-sectoral cooperation (CSC) has gained recognition as the key to achieving sustainable development goals within a locality. However, existing studies focused on sustainable local development (SLD) initiatives resulting from CSC remain sparse. This article aims to review the CSC–SLD literature, using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) method. Research questions were constructed using the PICOC (population, intervention, comparison, outcomes, and context) structure. The identification of scientific works occurred through the search of relevant keywords, which resulted in a final set of 38 peer-reviewed manuscripts, from 1994 to 2021. First, the main driving forces for adopting CSC, to achieve SLD, which are dispersed at multiple levels, were captured and contextualised into the micro-, meso-, macro- and mega-framework. Second, salient aspects addressed in the literature for effective CSC implementation were identified and classified into approaches, governance, structure, key actors, psychological and social aspects, and experiences themes. This resulted in a consolidated guiding principles framework for implementing CSC, to pursue SLD. Additionally, the use of theories in different aspects of CSC–SLD initiatives was discussed. This study informs the practitioners, policy-makers, and researchers the fundamentals that need to be considered when planning, designing, and implementing effective CSC interventions for SLD.

To overcome the current competitive market environment, obtaining high customer loyalty is a key success of retaining customers as loyal customers display high commitment to continue their support with the current service providers. Therefore, banks need to continue offering superior financial products and services to their customers to ensure high customer satisfaction which can ultimately trigger their customer loyalty. This research aims to enhance comprehension of customer loyalty in banking industry by conducting a comprehensive literature study. This research selected 149 published research articles related to customer loyalty in banking industry indexed by Web of Science and Scopus between 2012 and 2024. Only 44 final research articles that met the criteria were used for Preferred Reporting Items for Systematic and Meta-Analysis (PRISMA). Results highlighted that bank customer loyalty was often investigated in India, followed by Indonesia, South Africa, Vietnam, Ghana, Brazil, Pakistan, Turkey, Iran, and China. Meanwhile, results also underscored that satisfaction, trust, service quality, image, commitment, reliability, perceived value, ethical, perceived usefulness and experience often and significantly influenced customer loyalty. Finally, results also outlined that consumer research mechanism of customer loyalty in banking industry evolved frequently and significantly shifting from general to electronic banking service consumption following banking 5.0 of "how Fintech will change traditional banks in the new normal or post pandemic". Moreover, these results were essential to marketing managers in banking industry in order to analyze, understand and further improve their existing financial products and services to their customers so that banks can obtain more customer loyalty.