Ziad Alkalha, Luay Jum'a, Saad Zighan and Moheeb Abualqumboz
This study aims to investigate the mediating role of different types of intellectual capital (human, structural and relational) in the relationship between artificial…
Abstract
Purpose
This study aims to investigate the mediating role of different types of intellectual capital (human, structural and relational) in the relationship between artificial intelligence-driven supply chain analytics capability (AI-SCAC) and various supply chain decision-making processes, specifically rational, bounded and tacit decision-making.
Design/methodology/approach
The study used a quantitative survey strategy to collect the data. A total of 320 valid questionnaires were received from manufacturing companies. The data were analysed using structural equation modeling with partial least squares (PLS-SEM) approach through SmartPLS software.
Findings
The results indicate that human and structural capital significantly mediate the relationship between AI-SCAC and rational and bounded decision-making processes. However, structural capital does not mediate the relationship between AI-SCAC and the tacit decision-making process. Moreover, relational capital does not show a significant mediating effect on all of the decision-making processes. Notably, structural capital has the strongest impact on rational and bounded decision-making, while human capital plays a critical role across all three decision-making processes, including tacit decision-making.
Originality/value
This study contributes to the literature by providing a nuanced understanding of the differentiated impact of intellectual capital components on various decision-making processes within the context of AI-SCAC. While previous studies have broadly acknowledged the role of intellectual capital in decision-making, this research provides more understanding of how specific types of intellectual capital interact with AI to influence distinct decision-making processes. Notably, the differential impact of structural capital on rational and bounded decision-making versus tacit decision-making highlights the need for organisations to adopt a more tailored approach in leveraging their intellectual capital.
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Moheeb Abualqumboz, Paul W. Chan, David Bamford and Iain Reid
This study aims to examine reciprocal exchanges in knowledge networks using temporal differentiation of knowledge exchanges. To date, research on horizontal knowledge networks…
Abstract
Purpose
This study aims to examine reciprocal exchanges in knowledge networks using temporal differentiation of knowledge exchanges. To date, research on horizontal knowledge networks rather overlooks the temporal perspective, which could explain the dynamics of exchange in those networks.
Design/methodology/approach
The paper reports on a study of four horizontal knowledge networks in the UK over a period of 18 months.
Findings
The findings integrate three temporal dimensions of timescale, timeliness and time modalities. The dimensions have implications for the way knowledge is exchanged (or not), which can in turn sustain or stymie productive knowledge exchange in horizontal knowledge networks.
Research limitations/implications
The study encourages researchers to attend to the micro-processes of knowledge exchanges through the integrative framework of temporalities. While this study examined horizontal networks, future research can be extended to analysing temporalities in other types of networks.
Practical implications
It seeks to inspire practitioners to appreciate how the impacts of knowledge networks play out in/over time, and how more effective coopetitive knowledge-sharing environments can be created and sustained by taking differentiated time structures into account.
Originality/value
This study contributes to the knowledge management literature by providing a temporal perspective to understand reciprocal knowledge exchanges in horizontal knowledge networks.
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Bakhita Salem Almarri, Georgios Kapogiannis, Moheeb Abualqumboz and Michael Gerges
This study investigates the viability and benefits of implementing underground waste management systems in Doha in response to the city’s increasing waste production. It examines…
Abstract
Purpose
This study investigates the viability and benefits of implementing underground waste management systems in Doha in response to the city’s increasing waste production. It examines the necessity, feasibility and public opinion of these systems, exploring perceived benefits and implementation barriers.
Design/methodology/approach
Adopting a convergent parallel design, the study separates quantitative and qualitative data for thorough analysis. Non-probability random sampling based on Slovin’s formula targeted 385 participants, with 100 responses and five in-depth interviews obtained. Data were analysed using SPSS and NVivo, ensuring validity and reliability through Cronbach’s alpha and instrument pretesting.
Findings
The study reveals varied perceptions among Doha residents towards municipal and zero waste initiatives, highlighting a significant gap in waste segregation practices at home and low awareness of waste disposal processes. Underground systems face significant barriers, including financial constraints and limited knowledge about advanced technologies like Lusail City’s compressed air system. The findings indicate strong public support for enhancing waste management systems and emphasize the need for better public education and strategic infrastructure investments.
Originality/value
This research offers key insights for decision-makers, improving understanding of waste management strategies in Doha. It connects theory with practice to promote sustainable and effective waste management solutions while exploring public perceptions and challenges of implementing underground systems.
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Saad Zighan, Nidal Yousef Dwaikat, Ziad Alkalha and Moheeb Abualqumboz
This study investigates the role of supply chain knowledge management in enhancing pharmaceutical supply chain resilience.
Abstract
Purpose
This study investigates the role of supply chain knowledge management in enhancing pharmaceutical supply chain resilience.
Design/methodology/approach
This study focusses on the Middle East region, where semi-structured online interviews were conducted with 38 professionals from the pharmaceutical supply chain to collect empirical data.
Findings
The study reveals that supply chain knowledge management is a crucial value-adding practice that improves pharmaceutical supply chain resilience. Effective supply chain knowledge management enables organisations to develop agility, change, adaptability, problem-solving, response and innovation capabilities that support supply chain resilience. However, challenges related to supply chain management practices, people, processes and technology hinder the effective promotion of supply chain knowledge.
Practical implications
This study reminds managers that knowledge management is critical for building resilience in supply chains.
Social implications
The study highlights the importance of a resilient pharmaceutical supply chain for organisations and society. The study advocates that effective supply chain knowledge management can help ensure a sustained supply of high-quality pharmaceutical products and services during crises.
Originality/value
The study offers novel insights by examining pharmaceutical supply chain resilience from a knowledge management perspective and highlighting the potential of knowledge capabilities to enable supply chains to recover from crises and adapt to the new normal. This study also highlights the key strategic considerations for managing knowledge effectively throughout the supply chain.