Journal of Enterprise Information Management最新文献

Purpose

This study aims to establish a robust evaluation framework for suppliers within the automotive supply chain, specifically in the stamping sector. The primary objectives are to elucidate the performance criteria of suppliers, identify indicators and scales for measuring these criteria and find the importance of the criteria.

Design/methodology/approach

The evaluation framework comprises a criteria hierarchy and indicators developed based on the evaluation criteria of major automotive manufacturers. Specific indicators and measurement scales are recommended for assessing suppliers. Importance weights for the criteria are assigned based on the input of nine experts using the Analytic Hierarchy Process (AHP). Finally, four sheet metal stamping tooling (SMST) suppliers are evaluated by four specialists using the proposed evaluation framework.

Findings

The study introduces a novel classification of criteria, encompassing financial and commercial perspectives, delivery capability, supplier facility and cultural approaches and business process necessities. The findings underscore the significance of financial and commercial stability in the selection of SMST suppliers, emphasizing their role in mitigating risks associated with disruptions, bankruptcies and unforeseen events. Additionally, several SMST evaluation factors identified in this study contribute to the development of resilience capabilities, highlighting the crucial importance of their inclusion and assessment in the proposed evaluation framework.

Originality/value

This research presents a comprehensive model for evaluating SMST suppliers, which tackles the multidisciplinary challenges within the automotive supply chain. Given the inadequacy or nonexistence of current SMTS selection models, this study bridges the gap by exploring potential and necessary criteria, alongside 116 specific indicators and measurement scales.

Purpose

The purpose of this study is to establish a synthetic group decision framework based on the Pythagorean fuzzy (PF) set to select the optimal medicine cold chain logistics provider (MCCLP). Fierce market competition makes enterprises must constantly improve every link in the process of enterprise sustainable development. The evaluation of MCCLP in pharmaceutical enterprises is an important link to enhance the comprehensive competitiveness. Because of the fuzziness of expert cognition and the complexity of the decision procedure, PF set can effectively handle the uncertainty and ambiguity in the process of multi-criteria group decision decision-making (MCGDM).

Design/methodology/approach

This paper develops an integrated group decision framework through combining the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique and combined compromise solution (CoCoSo) approach to select a satisfactory MCCLP within PF circumstances. First, the PF set is used to process the ambiguity and uncertainty of the cognition ability of experts. Second, a novel PF knowledge measure is propounded to measure the vagueness of the PF set. Third, a comprehensive criterion weight determination technique is developed through aggregating subjective weights attained utilizing the PF DEMATEL approach and objective weight deduced by knowledge measure method. Furthermore, an integrated MCGDM approach based on synthetic weight and CoCoSo method is constructed.

Findings

The outcomes of sensibility analysis and comparison investigation show that the suggested decision framework can help decision experts to choose a satisfactory MCCLP scientifically and reasonably. Accordingly, the propounded comprehensive decision framework can be recommended to enterprises and organizations to assess the MCCLP for their improvement of core competitiveness.

Originality/value

MCCLP selection is not only momentous for pharmaceutical enterprises to improve transportation quality and ensure medicine safety but also provides a strong guarantee for enterprises to improve their core competitiveness. Nevertheless, enterprises face certain challenges due to the uncertainty of the assessment environment as well as human cognition in the process of choosing a satisfactory MCCLP. PF set possesses a formidable capability to address the uncertainty and imprecision information in the process of MCGDM. Therefore, pharmaceutical enterprises can implement the proposed method to evaluate the suppliers to further improve the comprehensive profit of enterprises.

Purpose

This study builds on a conceptual model by integrating AI features – Perceived intelligence (PIN) and anthropomorphism (PAN) – while extending expectation confirmation theory (ECT) factors – interaction quality (IQU), confirmation (CON), and customer experience (CSE) – to evaluate the continued intention to use (CIU) of AI-enabled digital banking services.

Design/methodology/approach

Data were collected through an online questionnaire administered to 390 digital banking customers in India. The data were further analysed, and the presented hypotheses were evaluated using partial least squares structural equation modelling (PLS-SEM).

Findings

The research indicates that perceived intelligence and anthropomorphism predict interaction quality. Interaction quality significantly impacts expectation confirmation, consumer experience, and the continuous intention to use digital banking services powered by AI technology. AI design will become a fundamental factor; thus, all interactions should be user-friendly, efficient, and reliable, and the successful implementation of AI in digital banking will largely depend on AI features.

Originality/value

This study is the first to demonstrate the effectiveness of an AI-ECT model for AI-enabled Indian digital banks. The user continuance intention to use digital banking in the context of AI has not yet been studied. These findings further enrich the literature on AI, digital banking, and information systems by focusing on the AI's Intelligence and Anthropomorphism variables in digital banks.

Purpose

The purpose of this study is to examine how existing supply chain finance challenges confronting SMEs are affected by the emergence of smart fintech providers. In so doing the paper aims at uncovering critical role of fintech service provision in SCF and associated mechanisms that affect the SCF partners.

Design/methodology/approach

An in-depth case study approach has been applied in this study. The overall design is informed by a 5-stage-based case study approach developed in operation management, including the literature review and research question, followed by case selection and instrument development, the data gathering, the analysis and findings and dissemination.

Findings

The study shows that fintech service provider is capable of offering different digital technologies adapted to specific needs while concomitantly orchestrating the information flow across the partners. Key mechanisms that influence the establishment of trust-based relationships among the SCF partners, and related service processes and value creation based on the platform system architecture are explained.

Practical implications

Several practical implications for digital platform management and other key digital SCF partners are identified.

Originality/value

This paper contributes a novel perspective on the importance of digital trust in SCF and also contributes to the existing literature by filling up a gap with a new and fine-grained understanding of the role of fintech companies in SCF.

Purpose

This study employs an interpretivist approach to investigate how blockchain technology can transform the remittance industry.

Design/methodology/approach

We collected data from blockchain experts with extensive experience, compellingly demonstrating the revolutionary impact of blockchain technology on the remittance sector.

Findings

Despite experiencing rapid growth, the global remittance sector still faces challenges such as high costs and lengthy transaction times. However, blockchain technology, known for disrupting emerging industries, offers a decentralized and secure mechanism for containing, storing and managing information. By leveraging rapid block confirmations, blockchain reduces settlement times in remittance transactions, enabling value transfers between parties with just a crypto wallet.

Research limitations/implications

The implications of this study are profound for theorists, as it validates existing theoretical frameworks, identifies specific pain points and explores exciting opportunities presented by blockchain technology. Additionally, we provide a roadmap for future research and innovation, bridging theory and practice and setting the stage for advancement, fostering knowledge, innovation and the successful integration of blockchain technology in the remittance industry.

Originality/value

Analysis highlights a unanimous consensus among experts regarding the transformative potential of blockchain technology in the remittance industry. This consensus serves as a strong impetus for practitioners to swiftly adopt blockchain-based solutions, capitalizing on opportunities such as stable coin issuance, elimination of intermediaries in foreign exchange trading, access to liquidity and the exploration of new business models. Successfully addressing challenges like congestion and limited reach will ensure seamless integration.

Purpose

This research looks into the revolutionary potential of Industry 5.0, healthcare, sustainability and the metaverse, with a focus on the transformation of healthcare firms through cutting-edge technologies such as artificial intelligence (AI) and Internet of Things (IoT). The study emphasizes the significance of sustainability, human-machine collaboration and Industry 5.0 in the development of a technologically advanced, inclusive and immersive healthcare system.

Design/methodology/approach

The study surveyed 354 medical professionals and used structural equation modeling (SEM) to investigate healthcare sustainability, Industry 5.0 and the metaverse, emphasizing the integration of modern technology while maintaining ethical issues.

Findings

The findings highlight Industry 5.0’s and the metaverse’s transformational potential in healthcare firms. The study finds that human centricity (HC) has only a minor direct impact on healthcare sustainability, whereas intelligent automation (IA) and innovation (INN) play important roles that are regulated by external factors.

Practical implications

Utilizing IA inside healthcare organizations can result in significant industrial advancements. However, these organizations must recognize the importance of moderating factors and attempt to find a balance between INN and thesev restraints.

Originality/value

This study makes a substantial contribution to the field by investigating the potential of Industry 5.0, healthcare, sustainability and the metaverse. It discusses how these advances can transform healthcare firms, with an emphasis on patient-centered treatment, environmental sustainability and data ethics. The study emphasizes the importance of having a thorough awareness of these trends and their implications for healthcare practices.

Purpose

This review study aims to explore the prevalent paradoxes in digital transformation (DTN) of business and provide insights on how businesses can effectively navigate them.

Design/methodology/approach

The study conducts a systematic literature review, utilizing findings from a bibliometric analysis. A sample of 229 articles published in top-tier journals, retrieved from the Scopus database, is reviewed to identify nine clusters representing different sectors and paradoxes in DTN.

Findings

The review identifies and summarizes studies addressing the paradoxes that arise during DTN in various sectors. Scholars have analyzed the growing need for digital innovations and the benefits they bring, but this study aggregates high-quality research to address the gap in understanding prevalent paradoxes.

Originality/value

This study provides valuable insights into the paradoxes of DTN and offers guidance to businesses on effectively managing these challenges. It contributes to the existing literature by consolidating and presenting key research findings in this domain.

Purpose

The study aims to synthesize existing knowledge and proposes a research framework for building a resilient supply chain (SC) through artificial intelligence (AI) technology. It also identifies existing literature gaps and paves the way for a future research agenda.

Design/methodology/approach

A systematic literature review has been carried out to identify the peer-reviewed articles from Scopus and Web of Science databases. Then, the selected articles published between 2012 and 2023 are analyzed using descriptive and thematic analysis methods to unearth research gaps and offer new research directions.

Findings

Descriptive and thematic analysis reveals the overall development of literature on the role of AI for supply chain resilience (SCR). Based on the findings of the thematic analysis, the motivation, application, capability and outcome (MACO) framework has been developed and propositions have been proposed. Several future research directions have also been suggested in terms of theory, context and methodology (TCM).

Practical implications

The study provides a fresh perspective on the integration of AI technology within the realm of SCR. The developed MACO framework serves as a practical tool for supply chain management (SCM) professionals, offering a nuanced understanding of AI's applications across various functional areas to streamline operations, minimize waste and optimize resource utilization, thereby helping them in strategic planning.

Originality/value

This study contributes to the literature on the role of AI for building SCR by uncovering gaps, offering research directions and developing propositions for future research directions.

Purpose

This research has been carried out to study the impact of critical success factors (CSFs) on successful project management of projects in the manufacturing sector. These success factors will pave the way for the successful completion of projects for the manufacturing sector. CSFs play a vital role in the timely conclusion of projects in any organization. For the projects to be successful certain essential factors must be taken into account. These essential factors are identified through this research.

Design/methodology/approach

During this study an adaptive survey of the literature was conducted, after a detailed literature review certain success factors were identified for project management in the manufacturing sector. The number of success factors was reduced to 40 factors based on the level of incidence in the literature. The length of the questionnaire was also given due importance to make the survey more interesting and effective. After that Fuzzy Delphi Method (FDM) was employed to screen the most essential factors. In the end, the Fuzzy Analytical Hierarchical Process (FAHP) was used to rank these factors in order of importance.

Findings

Project Manager Leadership Skills, Economic Environment, Top Management Support, Project Planning, Clear and realistic Goals, and Financial Support have come out to be the most important CSFs for successful project management in the manufacturing sector.

Originality/value

This is novel research to identify CSFs for project management in the manufacturing sector. Previously, most of the studies remained focused on construction and software projects.

Purpose

The research aims to understand the co-existence of nimbleness and resilience in a continuous digital transformation, along with the dynamic capabilities needed to balance the challenges of their co-existence.

Design/methodology/approach

The current study draws on dialogical action design research (D-ADR) to investigate interactions among practitioners and executives. Data are collected from a major Australian financial services organisation (FSO) and many international experts.

Findings

The study presents a framework, the continuous transformation model (CTM), to describe digital transformation within an FSO context, emphasising nimbleness and resilience as its foundational pillars. This framework facilitates the identification of the critical role of organisational capabilities in managing continuous digital transformation, supported by dynamic IT capabilities. More importantly, the findings underscore how these capabilities enable managers to effectively balance the coexistence of nimbleness and resilience.

Research limitations/implications

The CTM contributes to the enterprise information systems literature by offering a coherent understanding of balancing resilience and nimbleness to succeed in digital transformation. In particular, the research model elucidates the relationship between dynamic capabilities and continuous digital transformations.

Practical implications

Digital transformations are not a one-off exercise. Managers in the FSO context must cultivate their organisational capabilities to achieve nimbleness and resilience during their digital transformation journey.

Originality/value

The relationship between dynamic capabilities and continuous digital transformation sheds light on establishing successful management processes within FSOs.