Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh and Denise Gengatharen
Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of…
Abstract
Purpose
Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of expectations, leading to unsuccessful implementations. This paper aims to identify and elucidate the factors influencing AI adoption at both the organisational and individual levels. Developing a conceptual model, it contributes to understanding the underlying individual, social, technological, organisational and environmental factors and guides future research in this area.
Design/methodology/approach
The authors have conducted a systematic literature review to synthesise the literature on the determinants of AI adoption. In total, 90 papers published in the field of AI adoption in the organisational context were reviewed to identify a set of factors influencing AI adoption.
Findings
This study categorised the factors influencing AI system adoption into individual, social, organisational, environmental and technological factors. Firm-level factors were found to impact employee behaviour towards AI systems. Further research is needed to understand the effects of these factors on employee perceptions, emotions and behaviours towards new AI systems. These findings led to the proposal of a theory-based model illustrating the relationships between these factors, challenging the assumption of independence between adoption influencers at both the firm and employee levels.
Originality/value
This study is one of the first to synthesise current knowledge on determinants of AI adoption, serving as a theoretical foundation for further research in this emerging field. The adoption model developed integrates key factors from both the firm and individual levels, offering a holistic view of the interconnectedness of various AI adoption factors. This approach challenges the assumption that factors at the firm and individual levels operate independently. Through this study, information systems researchers and practitioners gain a deeper understanding of AI adoption, enhancing their insight into its potential impacts.
Details
Keywords
Reza Kiani Mavi, Hamed Gheibdoust, Ahmad A. Khanfar and Neda Kiani Mavi
Universities play a central role in scientific development and progress in societies, so, the need for supporting new businesses in universities becomes very important that…
Abstract
Purpose
Universities play a central role in scientific development and progress in societies, so, the need for supporting new businesses in universities becomes very important that science and technology park-based incubators can meet it. The purpose of this paper is to prioritize the factors influencing strategic management of university business incubators (UBIs).
Design/methodology/approach
Present research prioritizes the factors influencing strategic management of incubators using analytic network process (ANP). The authors gathered data from UBIs affiliated with science and technology park of Guilan, located in city of Rasht (Iran) using the ANP questionnaire during year 2017.
Findings
Factors influencing strategic management of incubators comprised of four main criteria and 14 sub-criteria. The criteria and sub-criteria were ranked based on their importance. Results show that “talented managers” has the highest importance for strategic management of UBIs.
Originality/value
This study offers a novel analysis and contribution to the knowledge of ranking UBIs with a multi-criteria decision-making technique. Results of this research show the relative importance of criteria and sub-criteria, which contributes to further improvement of incubator management. University managers and incubator directors can utilize the findings for better resource allocation and aligning the strategies of incubators with macro strategies of the country.
Details
Keywords
Mohd Shahid Mohd Noh, Suffian Haqiem Nor Azelan and Muhammad Izzul Syahmi Zulkepli
This study aims to systematically review the literature on modern Islamic finance transactions pertaining to Gharar dimensions. Gharar is defined as uncertainty that potentially…
Abstract
Purpose
This study aims to systematically review the literature on modern Islamic finance transactions pertaining to Gharar dimensions. Gharar is defined as uncertainty that potentially leads to ambiguities and conflicts in contracts.
Design/methodology/approach
The articles reviewed in this study consisted of 13 articles related to Gharar published between 2013 and 2022. All selected articles were empirically and descriptively searched using specific keywords and strings. The main sources for this study were Scopus and Web of Science (WoS), whereas Google Scholar was a supportive database.
Findings
The review found that the dimensions that discussed previous research were trying their best to elaborating Gharar in modern financial transactions. They also demonstrate that rigorous study and deployment of the definition remain in the context defined by jurisprudence scholars. The focus of recent studies pertaining to Gharar is derivatives products that indicate high possibility of uncertainty in its operation.
Research limitations/implications
This method relies heavily on the accessed database, namely, Scopus and WoS, also referred to the articles as recommended by the databases. Furthermore, the criteria of inclusion and exclusion of papers outlined by the authors deemed as an intrinsic limitation in writing systematic literature review.
Originality/value
To the best of the authors’ knowledge, this paper is original in its nature whereby the scholars had different comprehension on how Gharar exists in transaction but they still centred in its original meaning of uncertainty. As a result, this paper also realized how Gharar were interpreted differently relied on the contract’s nature and behaviour. In addition, this paper is expected to contribute to understand how Gharar been interpreted in modern finance transactions and finally reached to the point that further research is needed in establishing Gharar parameter for each contract in Islamic commercial law.
Details
Keywords
Yahya M. Tashtoush, Mohammad A. Alsmirat and Tasneem Alghadi
The purpose of this paper is to propose, a new multi-path routing protocol that distributes packets over the available paths between a sender and a receiver in a multi-hop ad…
Abstract
Purpose
The purpose of this paper is to propose, a new multi-path routing protocol that distributes packets over the available paths between a sender and a receiver in a multi-hop ad hoc network. We call this protocol Geometric Sequence Based Multipath Routing Protocol (GMRP).
Design/methodology/approach
GMRP distributes packets according to the geometric sequence. GMRP is evaluated using GloMoSim simulator. The authors use packet delivery ratio and end-to-end delay as the comparison performance metrics. They also vary many network configuration parameters such as number of nodes, transmission rate, mobility speed and network area.
Findings
The simulation results show that GMRP reduces the average end-to-end delay by up to 49 per cent and increases the delivery ratio by up to 8 per cent.
Originality/value
This study is the first to propose to use of geometric sequence in the multipath routing approach.
Details
Keywords
Shweta V. Matey, Dadarao N. Raut, Rajesh B. Pansare and Ravi Kant
Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve…
Abstract
Purpose
Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.
Design/methodology/approach
Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.
Findings
According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.
Practical implications
The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.
Originality/value
This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.
Details
Keywords
Mahdieh Ahmad Amouei, Changiz Valmohammadi and Kiamars Fathi
In the age of Industry 4.0 (I4.0), digital technologies (DTs) and the technologies' application in supply chain activities have become more important. On the other hand, global…
Abstract
Purpose
In the age of Industry 4.0 (I4.0), digital technologies (DTs) and the technologies' application in supply chain activities have become more important. On the other hand, global pressures for corporate social responsibility in the sustainable production of products are increasing. Accordingly, the purpose of this research is to develop and validate an instrument to measure the impact of digital supply chain (DSC) activities on the sustainable performance of manufacturing companies.
Design/methodology/approach
In the first step, through an in-depth study of the relevant literature, a conceptual model was developed and a questionnaire containing 51 indicators was designed. The questionnaire was distributed among 356 top managers and experts of the Iranian manufacturing companies, whereby finally 233 sound questionnaires were returned, yielding a response rate of about 64%. Exploratory factor analysis (EFA) was used to identify constructs and sub-constructs and the relationship between them was investigated using the partial least squares structural equation model (PLS-SEM) method.
Findings
Based on the obtained results, three constructs were identified, namely main activities (including sub-constructs: digital supplier, digital manufacturing, digital logistics and innovation and digital customer), support activities (with sub-constructs digital performance, DT and digital human resources) and sustainable performance (with sub-constructs of economic sustainability, environmental sustainability and social sustainability). The designed tool has excellent psychometric properties. The values of t-statistic = 11.07 and β = 0.602 indicate the positive impact of the DSC main activities on sustainable performance. Similarly, t = 2.42 and β = 0.149 prove that DSC support activities have a positive impact on sustainable performance. Also, based on the obtained values (t = 13.16 and β = 0.629), support activities have a significant impact on the main activities of the DSC. Finally, based on the calculated goodness-of-fit (GoF) index value (0.522), this paper concluded that the proposed model has high credibility.
Research limitations/implications
Validation of the model is based on the answers received from the Iranian manufacturing companies. Therefore, caution should be taken regarding the generalizability of the results.
Practical implications
The proposed model presents a holistic view of the application of DTs in the supply chain and the DTs' impact on sustainable performance which might help manufacturing companies, particularly the Iranian companies to obtain a broader knowledge of the importance of DTs and DTs' usage toward responding to the challenges of today's complex business environment.
Originality/value
This study is among the first of the study's kind that attempts to develop and validate an instrument to measure the impact of DSC activities on the sustainable performance of manufacturing companies.
Details
Keywords
Abdel-Aziz Ahmad Sharabati, Hamzeh Salim Khraim and Rami Atta Khateeb
– The purpose of the study is to investigate the influence of direct-to-consumer advertising (DTCA) on consumers’ decision-making (CDM).
Abstract
Purpose
The purpose of the study is to investigate the influence of direct-to-consumer advertising (DTCA) on consumers’ decision-making (CDM).
Design/methodology/approach
Practical data were used in the empirical analysis collected from 484 consumer surveyed by means of a questionnaire. Statistical techniques such as descriptive statistics, correlation, simple and multiple regressions were employed. A Cronbach’s alpha was used to confirm the suitability of the data collection instrument.
Findings
The results of the study indicated a positive significant relationship between DTCA and CDM. The results indicated that there was significant impact of healthcare awareness on CDM, but there were no significant impacts of drug–drug interactions, medical information source and consumer economical situation on CDM.
Research limitations/implications
The data are also limited to a Jordanian market; therefore, generalizing results of a Jordanian setting to other countries may be questionable. Extending the analyses to other settings represent future research opportunities.
Originality/value
The current research may be considered as an initiative study that highlights the effect of DTCA on CDM in Jordan and in the Arab world. The results can provide the reference for further research about the relationship between DTCA and CDM.
Details
Keywords
Arushi Bathla, Priyanka Aggarwal and Kumar Manaswi
Digital technology and SDGs have gained increasing interest from the research community. This chapter aims to explore the field through a holistic review of 188 publications from…
Abstract
Digital technology and SDGs have gained increasing interest from the research community. This chapter aims to explore the field through a holistic review of 188 publications from 2017 to 2022. For the systematic review of 188 articles, a three-step methodology comprising of PRISMA guidelines was performed, bibliometric analysis and text analysis using VOS-Viewer and Sentiment Analysis using RStudio had been undertaken. Bibliographic coupling revealed the following clusters Digital Space (Over all SDG), Localising SDGs, Financial Systems and Growth (SDG 8), Sustainable Supply Chain (SDG 9), Education (SDG 4), Energy Management (SDG 7), Smart Cities (SDG 11 and 13), Gender, Skills, and Responsibility (SDG 5 and 12), Food Management (SDG 1, 2 and 3), Business Innovation (SDG 8 and 9) and ICT (SDG 9). Next, co-occurrence analysis highlighted the following clusters Circular Economy (SDG 8), Higher Education System (SDG 4), Digital health (SDG 3), Industry 4.0 (SDG 9) and Supply Chain Management (SDG 9). Next, text analysis traced the most relevant areas of work within the theme. Finally, sentiment analysis revealed positive sentiments of the field. The research concluded that only a few SDGs had found major focus while the others don't have any solid ground in the literature. This chapter presents a knowledge structure by mapping the most relevant SDGs in the context of digital technology and sets directions for future research.
Details
Keywords
Subhodeep Mukherjee, Ramji Nagariya, Manish Mohan Baral, Bharat Singh Patel, Venkataiah Chittipaka, K. Srinivasa Rao and U.V. Adinarayana Rao
The circular economy is a production and consumption model that encourages people to share, lease, reuse, repair, refurbish and recycle existing materials and products for as long…
Abstract
Purpose
The circular economy is a production and consumption model that encourages people to share, lease, reuse, repair, refurbish and recycle existing materials and products for as long as possible. The blockchain-based circular economy is being used in many industries worldwide, but Indian electronic MSMEs face many problems in adopting a blockchain-based circular economy. The research aims to discover the barriers the electronic MSMEs face in adopting a blockchain-based circular economy and pull back from achieving environmental sustainability in their operations.
Design/methodology/approach
Fifteen barriers are identified from the literature review and finalized with experts' opinions. These barriers are evaluated by using interpretive structural modeling (ISM), MICMAC analysis and fuzzy TOPSIS method.
Findings
Lack of support from distribution channels, lack of traceability mechanism and customer attitudes toward purchasing remanufactured goods are identified as the most critical barriers.
Practical implications
The study will benchmark the electronic MSMEs in achieving environmental sustainability in the blockchain-based circular economy.
Originality/value
It is a study that not only establishes a hierarchical relationship among the barriers of blockchain adoption in Indian electronic MSMEs but also verifies the results with fuzzy TOPSIS method.
Details
Keywords
Md. Ramjan Ali, Sharfuddin Ahmed Khan, Yasanur Kayikci and Muhammad Shujaat Mubarik
Blockchain technology is one of the major contributors to supply chain sustainability because of its inherent features. However, its adoption rate is relatively low due to reasons…
Abstract
Purpose
Blockchain technology is one of the major contributors to supply chain sustainability because of its inherent features. However, its adoption rate is relatively low due to reasons such as the diverse barriers impeding blockchain adoption. The purpose of this study is to identify blockchain adoption barriers in sustainable supply chain and uncovers their interrelationships.
Design/methodology/approach
A three-phase framework that combines machine learning (ML) classifiers, BORUTA feature selection algorithm, and Grey-DEMATEL method. From the literature review, 26 potential barriers were identified and evaluated through the performance of ML models with accuracy and f-score.
Findings
The findings reveal that feature selection algorithm detected 15 prominent barriers, and random forest (RF) classifier performed with the highest accuracy and f-score. Moreover, the performance of the RF increased by 2.38% accuracy and 2.19% f-score after removing irrelevant barriers, confirming the validity of feature selection algorithm. An RF classifier ranked the prominent barriers and according to ranking, financial constraints, immaturity, security, knowledge and expertise, and cultural differences resided at the top of the list. Furthermore, a Grey-DEMATEL method is employed to expose interrelationships between prominent barriers and to provide an overview of the cause-and-effect group.
Practical implications
The outcome of this study can help industry practitioners develop new strategies and plans for blockchain adoption in sustainable supply chains.
Originality/value
The research on the adoption of blockchain technology in sustainable supply chains is still evolving. This study contributes to the ongoing debate by exploring how practitioners and decision-makers adopt blockchain technology, developing strategies and plans in the process.