PRIORITISATION OF FACTORS FOR ARTIFICIAL INTELLIGENCE-BASED TECHNOLOGY ADOPTION BY BANKING CUSTOMERS IN INDIA: EVIDENCE USING THE DEMATEL APPROACH

Artificial Intelligence (AI) is a concept of recent origin and is accepted for banking activities such as customer service, detection of fraudulent activities, and suspicious transactions. For the successful implementation of AI in the Indian context, a deep understanding is required in terms of its need and importance compared to the traditional banking system. To date, this outlook of AI has been less focused by industry practitioners and experts for the smooth flow of operational procedures in banks for developing countries, for example, India. This study aims to unearth factors and establish a relationship among the identified factors through the decision-making trial and evaluation laboratory (DEMATEL) approach to categorize the factors and frame the cause-and-effect relationships. Fifteen factors are identified through a literature review of existing studies, and ten experts were solicited to express their outlook on this subject. The result indicated that 'Transparency of information,' 'Perceived security of AI-based technology,' 'Social influence on customer,' 'Government regulation of AI in banks,' 'Awareness level of AI,' 'Efficiency of AI system,' 'Technical requirement,' and 'Cost of AI-based technology' were causative factors that support customer acceptance and penetration of AI in banks. The study presents a unique approach to customer acceptability towards AI in banks in developing countries using the DEMATEL technique. This study also discusses the possible area for the adaption of AI in Indian banks. The findings will support policymakers and practitioners in executing AI-based technologies in the banking sector in emerging nations

Three Essays on Innovation and Regional Economic Development

The first essay develops a typology that identifies the multiple pathways, functions and operations where innovation can occur in a firm\u27s internal business cycle based upon the extant literature that includes both technological and non-technological activities. This is an important step toward developing a comprehensive strategy for a regional economy and provides a common platform for the discussion of innovation among academics and practitioners.The typology adds to the existing knowledge of how innovation works in organizations by describing the pathways, business functions and operations in a firm\u27s internal-business-process the business strategies used to advance innovation to the market and the market impact that innovation has in a regional economy.The typology is enhanced by the different threads of literature - innovation, technology, organization and marketing. The integrated approach allows academics and practitioners to understand how and where innovation occurs in firms and lays the foundation for robust metrics of the behavioral relationship between variables under study. The result is a set of assessment tools that permits diagnostics of the firm, industry, market and region. The second essay examines the relationship between innovation, emerging technologies, business firms\u27 investment structure, and specialized types of private equity used to finance emerging technologies. A conceptual framework is developed for financial investment and a set of hypotheses tested for investment between Ohio and U.S. firms. Ohio firms take a different investing approach than U.S. firms when investing in a firm\u27s stage of business development but are not significantly different when using specialized types of financing, investing in industry/technology niches, and investing in geographic markets.The third essay explores the role of innovation in business firms. The essay examines the reasons firms invest in innovation and then test the difference in the innovation behavior of firms. Descriptive analysis is per

Management of Technological Innovation in Developing and Developed Countries

It is widely accepted that technology is one of the forces driving economic growth. Although more and more new technologies have emerged, various evidence shows that their performances were not as high as expected. In both academia and practice, there are still many questions about what technologies to adopt and how to manage these technologies. The 15 articles in this book aim to look into these questions. There are quite many features in this book. Firstly, the articles are from both developed countries and developing countries in Asia, Africa and South and Middle America. Secondly, the articles cover a wide range of industries including telecommunication, sanitation, healthcare, entertainment, education, manufacturing, and financial. Thirdly, the analytical approaches are multi-disciplinary, ranging from mathematical, economic, analytical, empirical and strategic. Finally, the articles study both public and private organizations, including the service industry, manufacturing industry, and governmental organizations. Given its wide coverage and multi-disciplines, the book may be useful for both academic research and practical management

A FRAMEWORK FOR STRATEGIC PROJECT ANALYSIS AND PRIORITIZATION

Projects that support the long-term strategic intent and alignment are considered strategic projects. Therefore, these projects must consider their alignment with the organization’s current strategy and focus on the risk, organizational capability, resources availability, political influence, and socio-cultural factors. Quantitative and qualitative methods prioritize the projects; however, they are usually suitable for specific industries. Although prioritization models are used in the private sector, the same in the public sector is not widely seen in the literature. The lack of models in the public sector has happened because of the projects’ social implications, the value perception of different projects in the public sector, and potentially differing value perceptions attached to the types of projects in different decision-making environments in the public sector. The thesis proposes a generic framework to develop a priority list of the available basket of projects and decide on projects for the next undertaking. The focus of the thesis is on public projects. The analysis in the framework considers the critical factors for prioritization obtained from the literature clustered through the agglomerative text clustering technique. In the proposed framework, 13 critical clusters are identified and weighted using the Criteria Importance Through Intercriteria Correlation (CRITIC) method to develop their ranking using the Technique for Order of Preference Similarity Ideal Solution (TOPSIS) method. In addition, the proposed framework uses vector weighting to prioritize projects across industries. The applicability of the framework is demonstrated through Qatar’s real estate and transportation projects. The outcome obtained from the framework is compared with those obtained through the experts using the System Usability Scale (SUS). The comparison shows that the framework provides good predictability of the projects for implementation

Sustainable Human Resource Management

The concept of sustainability is important for companies both in the case of SMEs and worldwide multinational companies. Some key factors to help a company achieve its sustainability objectives are based on human resource management. Sustainable human resource management is a typical cross-functional task that becomes increasingly important at the strategic level of a company. Industry 4.0 technologies, Internet of Things, and competitive demands, as signs of globalization, have led to significant changes across the organizational structures and human resource strategies of companies. The increasing importance of sophisticated human resource strategies in the life of companies and the intention to find optimal design and operation strategies for sustainable human resource management were a motivation for launching this book. This book offers a selection of papers which explain the impact of smart human resource management on economy. Authors from 14 countries published working examples and case studies resulting from their research in this field. The aim of this book is to help students at the level of BSc, MSc, and PhD level, as well as managers and researchers, to understand and appreciate the concept, design, and implementation of sustainable human resource management solutions

Corporate Bankruptcy Prediction

Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy

Evolving to Digital and Programmable Value Based Economy: General Prospect and Specific Applications over Sustainability

[eng] In the fields of economics, business and management, how could Digital Transformation (DT) advance value creation and reliably encourage value capture, exchange and distribution? This thesis aim to fill that gap with a novel framework to support policy-makers, countries, cities and businesses address the potential value that can be generated and captured by digitalization combining DT and Internet of Value theoretical perspectives and practical applications of them over concrete issues such as sustainability in cities, as an example. For this, it is proposed to make new contributions related to DT and Internet of Value in two main aspects: to explore DT countries’ mindsets when it relates to their value progress through Digital Ecosystems and to advance with the potential digital value applications through Programmable Economy advantages when it focus on concrete aspect such as sustainability in cities. Both perspectives, although it will be applied on different dimensions and on different purposes, have in common that they are focus on digital and programable value based economy and management and want to explore the best way to maximize and capture the DT potential in terms of value for organizations and society. Thus, first, it will be analysed the importance of knowing clearly the digital ecosystem in which the agents are operating in order to reinforce the value creation by promoting the inclusivity and connectivity of the endpoints involved in it. Secondly, it will be analysed how the digital value can be captured, exchanged and redistributed in a complex issues such as sustainability by deploying concrete digital applications that include human reinforcement aspects to, finally, closing the circle combining both perspectives in a single framework. To achieve these objectives in this thesis, own models are proposed, inspired by other theoretical models already contrasted, and some proven methodologies are used related to Conditional Probability, Forgotten Effects and Fuzzy Sets. As a main conclusion, Digital Transformation has the potential to generate immense value for economy and society. Although currently the capture of the vast majority of it is not guaranteed and its distribution between agents is no clear, new formulas are being explored supported by the Internet of Value. This thesis defends that if agents want to advance value creation and encourage value capture, they should consider to make their own Digital and Programmable Value Based Economy and Management framework through: - Allowing all functional agents work in a Digital Ecosystem embracing new relationships and ways of collaborating pursuing the same purpose. - Deploying Programmable Economy applications advantages, mixing digital's and analogue's world that can be interlinked and programmed by the blockchain allowing monetization and exploring new human and machine alliances. - Adopting strong and inclusive agents’ commitment in order to exploit the advantages that this smart economy system has from a human centric vision, discovering new forms of value, considering that, although tech can be everywhere, value not

Development of Conceptual Constructs for Organisational BIM Adoption and their Systematic Application within the UK Architecture Sector

Building Information Modelling (BIM) is an innovation that is transforming practices within the Architectural, Engineering, Construction and Operation (AECO) sectors. The investigation of the process of BIM adoption and diffusion has attracted significant interest from industry and academia. Drivers and factors influencing BIM adoption were examined at different levels, ranging from individual and group through organisations and supply chains to whole market level. However, there is still a dearth of studies that extensively integrate drivers and factors affecting the decision to adopt BIM by organisations. Existing studies often seek to develop approaches for forecasting BIM diffusion, and are generally focused on the diffusion phase, after BIM has been adopted. Therefore, this study aims to improve the understanding of the BIM adoption process within organisations and across markets by developing the necessary conceptual constructs (e.g., BIM adoption taxonomy, adoption process model, adoption two-dimensional characterisation model, and systems thinking models) and providing the supporting empirical evidence. This study provided an in-depth analysis of the BIM adoption process within organisations. It developed a unified BIM adoption taxonomy that contains an extensive array of adoption factors. Following the validation of the taxonomy, its factors were used within a proposed conceptual model, which combined the Innovation Diffusion Theory with the Institutional Theory, to perform a multifaceted analysis of the BIM adoption process. A set of 11 most influencing factors on BIM adoption process was identified and included: Willingness to adopt BIM, Communication behaviour of an organisation, Observability of BIM benefits, Compatibility of BIM, Social motivations among organisation's members, Relative advantage of BIM, Organisational culture, Top management support, Organisational readiness, Coercive pressures (Governmental mandate, informal mandate), and Organisation size. Focussing on these 11 most influencing factors, several analyses were performed to understand the interplays between these factors - while considering specific instances of certain factors (i.e. organisation size, and external isomorphic pressure) over time (i.e., Pre-2011, 2011-2016, and Post-2016 exemplifying three key time periods in the UK national BIM strategy). The results showed that the Relative advantage of BIM is the most important and influencing factor across all the three stages of the adoption process (i.e., Awareness stage, Intention stage, and Decision stage) of the BIM adoption process. Coercive pressures (e.g. Governmental mandate, informal mandate) had a direct influence on both formulating the intention and the decision to adopt BIM across the three-time horizons (i.e., Pre-2011, 2011-2016, and Post-2016). For the Pre-2011 period, the coercive pressures were mostly informal mandate/pressures by the parent companies and partners, while during 2011-2016 and Post-2016 periods, it is predominantly the UK Government mandate which was announced in 2011 and entered into effect in 2016. Several Systems Thinking models were developed to show the interdependencies among the factors that affect the BIM adoption process at different time periods and stages of the BIM adoption process. Such models infer patterns of behaviour of BIM adoption as complex systems and can be used to guide the development and implementation of BIM strategies. For example, by relating each factor within the system thinking model to the player group(s) who can exert influence upon it, the complementary role of the player groups can be planned to facilitate the BIM adoption process according to the patterns identified in the corresponding systems thinking model. The different patterns developed through the specialised systems thinking models can be used to develop tailored BIM adoption strategies for the different scenarios involved. At a global level (overall aim), this study provided an understanding of how intra-organisational BIM adoption and inter-organisational BIM diffusion occurs. At a local level (individual objectives), the key knowledge deliverables in this study (i.e., the taxonomy, conceptual model for BIM adoption process, two-dimensional characterisation model of BIM adoption, and systems thinking models) and the empirical investigation represent a new contribution to knowledge with each contributing from a specific standpoint. The Unified BIM Adoption Taxonomy is the first – if not the sole – statistically validated BIM adoption taxonomy that includes an extensive array of adoption drivers and factors and combines constructs from both the Institutional and the Innovation Diffusion theories. The conceptual model for analysing BIM adoption and its use for the empirical investigation of BIM adoption within the UK Architecture sector explored and identified relationships that were not known before (i.e., triggering the BIM Awareness and formulating an Intention about BIM adoption is not limited to Internal Environment Characteristics and the Innovation Characteristics respectively - as suggested by Rogers’ theory, but occurs by a combination of both characteristics). The two-dimensional characterisation model of BIM adoption clarified new interplays between adoption factors, the organisation size, and time (i.e., pairs of positively and negatively correlated factors vary based on time horizon). The classification of factors into cause and effect groups using the F-DEMATEL provided a new understanding of the independencies between factors which can be used to tailor and prioritise implementation actions and investments. The developed Systems Thinking Models enabled an attentive analysis of mutual interactions between adoption factors as part of a causal relationship networks. The developed instances of such models for different temporal scenarios and stages of the BIM adoption stage can be exploited by the industry player groups (i.e., Policy-makers, decision-makers, change agents, etc.) to promote BIM adoption process within the organisations and BIM diffusion across a market. The key knowledgeable deliverables can be used to perform various analyses of the BIM adoption process, providing evidence and insights for decision-makers within organisations and across a whole market when formulating BIM adoption and diffusion strategies. In particular, they can assist researchers, decision-makers, and policy-makers with a better understanding of the BIM adoption process and can guide the development of BIM strategies and plan for BIM adoption and diffusion. Ultimately, they contribute to promote BIM adoption within the architectural sector through the suggested adoption patterns