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1 – 6 of 6Khalil Rahi, Mira Thoumy and Muhammad Saqib
This paper explores the impact of multiple team membership (MTM) on the productivity of team members in engineering consulting firms. MTM refers to employees participating…
Abstract
Purpose
This paper explores the impact of multiple team membership (MTM) on the productivity of team members in engineering consulting firms. MTM refers to employees participating concurrently in multiple teams, a concept closely linked to projectification. Despite the fact that this concept can enhance collaboration, it also introduces coordination challenges that may negatively affect productivity.
Design/methodology/approach
Through an inductive approach involving 12 semi-structured interviews with engineering consulting professionals specializing in water and energy infrastructure projects, this paper examines the factors affecting team member productivity in an MTM setting. Following the interviews, a Delphi technique was employed, engaging 16 experts to rank the factors and sub-factors identified from the interview data. This two-stage approach ensured a comprehensive and validated assessment of productivity factors.
Findings
This study develops 8 factors process model grounded in structuration theory to explain the socio-technical mechanisms by which multiple team membership shapes productivity outcomes in engineering consulting firms specialized in water and energy infrastructure projects. Key findings surface micro-foundations, tensions in technology provisions, planning processes, and career development that inform theoretical advances and practical improvements.
Originality/value
This research contributes empirically insights into managing MTM in expert service contexts. Applying Giddens' structuration theory, this study reveals how agency and structures shape productivity across organizational, team, and individual levels. In practice, this study provides recommendations for improving productivity within projectified environments, mainly for team members working in an MTM environment in engineering consulting firms specializing in water and energy infrastructure projects.
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Khalil Rahi, Mohamad Alghoush and Roger Halaby
As part of the scale development process, this paper aims to test a scale to measure organizational resilience for the oil and gas industry. The objective is to provide…
Abstract
Purpose
As part of the scale development process, this paper aims to test a scale to measure organizational resilience for the oil and gas industry. The objective is to provide stakeholders with a set of indicators to evaluate their organizations and prepare them to cope with the negative consequences of disruptions (e.g. Covid-19, shortage of resources, etc.).
Design/methodology/approach
The paper conducts exploratory and confirmatory factor analysis to test the suitability, dimensionality and reliability of specific indicators and their items under examination. Therefore, the goal is not to validate hypotheses by testing an organizational resilience scale in the oil and gas industry.
Findings
The study tests and proposes a scale to effectively measure organizational resilience within the oil and gas industry. A comprehensive set of ten indicators and 40 items are identified through this process. The findings of this research provide stakeholders in this sector with a rigorous set of indicators to evaluate the strengths and weaknesses of their organizations and better prepare them to handle disruptions.
Originality/value
This paper fills the gap in existing research by testing and proposing a scale to measure organizational resilience specifically for the oil and gas industry. It highlights the importance of organizational resilience for survival in a sector that is especially susceptible to disruptions.
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Hamed M. Hussain and Khalil Rahi
This study examines the social acceptance and potential for residential solar integration in Abu Dhabi to support sustainable urban innovation and prosperity. A survey of 216 Abu…
Abstract
This study examines the social acceptance and potential for residential solar integration in Abu Dhabi to support sustainable urban innovation and prosperity. A survey of 216 Abu Dhabi residents analyzed four scenarios for incentivizing household solar panel adoption. Results demonstrate high interest and preference for governmental financial support mechanisms to spur solar integration. This research contributes an assessment framework and citizen engagement insights that could inform smart city development strategies focused on renewable energy transformation across the Gulf region. As urban centers like Abu Dhabi strive to enact their visions for economic diversification and environmental sustainability, understanding citizen perspectives on innovations like distributed solar will be critical to align technology advancement with societal needs and values. The methodology and findings of this Abu Dhabi case study provide a model to catalyze stakeholder buy-in for new energy solutions, with potential applications for other Gulf cities aiming to transition their energy systems and build integrative renewables infrastructure to power next-generation smart development. This solar integration acceptance research lays the groundwork for continued scholarly discourse and policymaker collaboration around smart cities in the Gulf that realize multidimensional progress for society, economy, and environment.
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Balkis Kasmon, Siti Sara Ibrahim, Dalila Daud, Raja Rizal Iskandar Raja Hisham and Ririn Tri Ratnasari
This paper aims to explore the impact of digitalisation on waqf activities, focussing on blockchain, crowdfunding and artificial intelligence to predict future trends in…
Abstract
Purpose
This paper aims to explore the impact of digitalisation on waqf activities, focussing on blockchain, crowdfunding and artificial intelligence to predict future trends in digitalisation within waqf activities.
Design/methodology/approach
The study used a quantitative approach to combine the Unified Theory of Acceptance and Use of Technology (UTAUT) and Diffusion of Innovation Theory (DIT) to comprehensively analyze the elements that affect the adoption of digital technology. SmartPLS software conducted the data analysis after collecting the data using SPSS. In this study, 310 respondents comprising Muslims who contribute to waqf were collected.
Findings
This research provides important insights into the elements influencing future behavior and can help policymakers promote and facilitate the digitalisation of waqf activities, not only in Malaysia but also in similar situations worldwide.
Research limitations/implications
Analysis indicated that four hypotheses were validated, implying that effort expectancy, compatibility, observability and trialability are significant determinants affecting intention. The findings suggest significant potential for further research. This paper delineates numerous methodological challenges and concerns while proposing recommendations for further research. Future research could use additional search phrases and engines not incorporated in this study to provide a more comprehensive overview. This study primarily concentrates on the applications of waqf development, digitalisation, blockchain, crowdfunding and artificial intelligence.
Practical implications
The four hypotheses regarding facilitating condition, performance expectation, relative advantage and social influence were not supported as they were found to have no significant impact on intention. For practitioners, based on the findings, it can give some insight into digitalisation’s influence on the intention of contributing to waqf in society. As for the researchers, there could be some ideas to study other than the factors mentioned in this study, as well as the supporting literature for their studies.
Originality/value
This paper provides useful insights on how emerging technology can potentially disrupt the traditional waqf landscape. It emphasizes the unique contributions of digitalization in improving transparency and accessibility, blockchain in ensuring security and trust, crowdfunding in mobilizing resources and artificial intelligence in optimizing decision-making processes.
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Ali Vafaei-Zadeh, Davoud Nikbin, Shin Ling Wong and Haniruzila Hanifah
Artificial intelligence (AI) customer service has grown rapidly in recent years due to the emergence of COVID-19 and the growth of the e-commerce industry. Therefore, this study…
Abstract
Purpose
Artificial intelligence (AI) customer service has grown rapidly in recent years due to the emergence of COVID-19 and the growth of the e-commerce industry. Therefore, this study employs the integration of the stimuli–organism–response (SOR) and the task-technology fit (TTF) frameworks to understand the factors that affect individuals’ intentions towards AI customer service adoption in Malaysia.
Design/methodology/approach
The study utilised a survey-based research approach to investigate the factors that affect individuals’ intentions towards AI customer service adoption in Malaysia. The data were collected by conducting an online survey targeting individuals aged 18 or above who had prior customer service interaction experience with human service agents but had not yet adopted AI customer service. A sample of 339 respondents was used to evaluate the hypotheses, adopting partial least squares structural equation modelling as a symmetric analytic technique.
Findings
The PLS-SEM analysis revealed that social influence and anthropomorphism have a positive direct relationship with emotional trust. Furthermore, communicative competence, technology characteristics and perceived intelligence were positively correlated with TTF. Moreover, emotional trust significantly impacts AI customer service adoption. In addition, AI readiness positively moderates the association between task technology fit and AI customer service adoption.
Practical implications
The study provides insights to individuals, organisations, the government and educational institutions to improve the features of AI customer service and its development in Malaysia.
Originality/value
The originality of this study is found in its adoption of the SOR theory and TTF to understand the factors affecting AI customer service adoption. Additionally, it incorporates moderating variables during the analysis, adding depth to the findings. This approach introduces a new perspective on the factors that impact the adoption of AI customer service and offers valuable insights for practitioners seeking to formulate effective strategies to promote its adoption.
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