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With the growing entrepreneurial enthusiasm surrounding blockchain, there has been a notable surge in academic discussions regarding the business implications of integrating this technology into the agri-food industry. This trend is expected to persist and evolve in the future. Hence, there is a need to organize and consolidate the existing knowledge, discern prevailing trends and articulate a comprehensive roadmap for guiding future research endeavors in this domain.

We combine bibliometric network analyses with a detailed systematic review of the related management literature published between 2008 and 2022.

Our results indicate that debate has clustered around the operations management domain, with a dominance of practice-oriented topics. Most of the literature has been published in top-tier journals, with a recent opening toward empirical research and conceptualization efforts. Both signs show that scholars have acknowledged the prominence of the construct and started to theorize about it. Eventually, the analysis provides a conceptual map, unveils the trends emerging in the received studies and yields conclusions that are helpful to scholars engaging with digital tools in traditional industries.

Our approach blends quantitative analysis with a comprehensive and systematic overview, providing a complementary viewpoint on the topic.

This paper analyzes the ways in which accounting enables operations managers to enter and perform multiple roles in their interplay with organizational groups on the shop floor and in management, and the associated negotiations that operations managers have with “the self.”

Using field-based studies in a mining organization, the study draws on Goffman’s backstage–frontstage metaphor to analyze how operations managers enter and perform several roles with the aid of accounting.

The findings show that accounting legitimizes operations managers when they cross organizational boundaries, as accounting gives them an “entry ticket” that legitimizes their presence with the group. Accounting further allows operations managers to embrace more than one role by “putting on a mask” to become an outsider or insider in relation to a group. In performing their roles, operations managers exhibit varying attributes and knowledge. Accounting can thereby be withheld from, or shared with, organizational groups. The illusion of accounting as deterministic presented frontstage is not necessarily negotiated that way backstage. Rather, alternatives discussed backstage often become silenced in the frontstage performance. The study concludes that operations managers cross boundaries, embrace roles and exert agency as they navigate with accounting, enrolling it into their performance simultaneously as they backstage reflect upon accounting and its role for their everyday work.

This study relies on the frontstage/backstage metaphor to visualize the discrepancies in how accounting is enrolled into role performances and how seemingly categorical fronts do not necessarily share that dominant position backstage.

The purpose of this paper is to propose and validate a theoretical model to investigate the relationship between self-organisation, information integration, adaptability and supply chain agility in humanitarian organisations.

A theoretical model was developed from extant studies and assessed through a structured questionnaire survey of 86 humanitarian organisations operating in South Sudan. The data were analysed using partial least square structural equation modelling.

The study found that self-organisation has a discernible positive influence on supply chain agility not only directly but also indirectly through adaptability. Further, information integration does not significantly influence supply chain agility directly but is fully mediated by adaptability. Together, the antecedent variables account for 53.9% variance in supply chain agility.

This study contributes to providing an empirical understanding of a humanitarian supply chain as a complex adaptive system and hence the need to incorporate self-organising and adaptive dimensions in supply chain management practice. Furthermore, it confirms the centrality of the complex adaptive system feature of adaptability when building supply chain agility through self-organisation and information integration.

The findings provide a firm ground for managerial decisions on investment in self-organisation and information integration dimensions so as to enhance adaptability and improve supply chain agility in humanitarian organisations.

This study is distinctive in the sense that it uses the complex adaptive system variables to empirically validate the relationships between self-organisation, information integration, adaptability and supply chain agility in humanitarian organisations in the world’s youngest developing economy with a long history of conflict and humanitarian intervention. The mediating influence of adaptability examined in this study is also novel.

Many organizations currently transition towards digitalized process design, execution, control, assurance and improvement, and the purpose of this research is to empirically demonstrate how data-based operational excellence techniques are useful in digitalized environments by means of the optimization of a robotic process automation deployment.

An interpretive mixed-method case study approach comprising both secondary Lean Six Sigma (LSS) project data together with participant-as-observer archival observations is applied. A case report, comprising per DMAIC phase (1) the objectives, (2) the main deliverables, (3) the results and (4) the key actions leading to achieving the presented results is presented.

Key findings comprise (1) the importance of understanding how to acquire and prepare large system generated data and (2) the need for better large system-generated database validation mechanisms. Finally (3) the importance of process contextual understanding of the LSS project lead is emphasized, together with (4) the need for LSS foundational curriculum developments in order to be effective in digitalized environments.

This study provides a rich prescriptive demonstration of LSS methodology implementation for RPA deployment improvement, and is one of the few empirical demonstrations of LSS based problem solving methodology in industry 4.0 contexts.

The purpose of this paper is to examine patient engagement in remote consultation services, an increasingly important issue facing Healthcare Operations Management (HOM) given the significant expansion in this and other forms of telehealth worldwide over the last decade. We use our analysis of the literature to develop a comprehensive framework that incorporates the patient journey, multidimensionality, antecedents and consequences, interventions and improvement options, as well as the cyclic nature of patient engagement. We also propose measures suitable for empirical assessment of different aspects of our framework.

We undertook a comprehensive review of the extant literature using a systematic review approach. We identified and analysed 63 articles published in peer-reviewed scientific journals between 2003 and 2022.

We conceptualise patient engagement with remote consultation across three key aspects: dimensions, process, and the antecedents and consequences of engagement. We identify nine contextual categories that influence such engagement. We propose several possible metrics for measuring patient engagement during three stages (before service, at/during service and after service) of remote consultation, as well as interventions and possible options for improving patient engagement therein.

The primary contribution of our research is the development of a comprehensive framework for patient engagement in remote consultation that draws on insights from literature in several disciplines. In addition, we have linked the three dimensions of engagement with the clinical process to create a structure for future engagement assessment. Furthermore, we have identified impact factors and outcomes of engagement in remote consultation by understanding which can help to improve levels of adoption, application and satisfaction, and reduce healthcare inequality. Finally, we have adopted a “cyclic” perspective and identified potential interventions that can be combined to further improve patient engagement in remote consultation.

This paper aims to analyse the Financial Intelligence Units (FIUs) of Canada, Australia, The Netherlands and India, focussing on key internal and external processes, such as the exchange of information, operations and compliance with Financial Action Task Force (FATF) recommendations. The paper relies on secondary sources to compare and assess the practices and strategies employed by FIUs within these jurisdictions.

The paper relies on secondary sources to compare and assess the practices and strategies used by FIUs within these jurisdictions.

The ability to combat money laundering and the financing of terrorism (AML/CFT) in countries is influenced by several internal and external factors, including the efficiency of their FIUs’ and compliance with FATF recommendations. The analysis of FIUs across the countries demonstrates a raft of multifaceted challenges and concerns. Yet, when it comes to compliance with FATF’s recommendations, shared concerns emerge, hinting at the complex interplay between country-specific operations and global compliance standards. The paper recommends enhancements to the FIUs’ operational efficiency and overall effectiveness in combating financial crimes.

The paper’s findings are limited to openly available data (such as annual reports and internet sources) for the respective countries. The paper relies on the transparency of FIUs through public media, focusing on comparing and analysing the FIUs of only four specific countries, which limits the generalisations of the findings.

This paper is significant for policymakers and FIU authorities, as they strive to improve the effectiveness of their units and assess their performance in alignment with international standards. The comparative analysis of the FIUs of India, Australia, Canada and The Netherlands provides valuable insights and recommendations that can inform policymakers and operational strategies towards enhancing how FIUs function globally.

This paper offers a unique comparative analysis of the FIUs of India, Australia, Canada and The Netherlands. Its findings have practical implications for policymakers and FIU authorities towards enhancing performance against international AML/CFT standards and promoting global cooperation.

This chapter discusses how the real options theory can be useful for understanding the adoption of human resources management (HRM) practices. The authors review how the real options theory has provided insights into the processes through which firms manage uncertainties involved in the adoption of HRM practices. The authors offer propositions for future HRM research from the real options perspective. The authors contend that analyzing HRM practice adoptions through the lens of real options theory can enhance our understanding of the mechanisms through which firms choose which HRM practices to adopt and how they adjust the timing, scale, and methods of investment in these practices. Specifically, the authors suggest that differences in information relevant to valuation of HRM options are the source of distinct choices of HRM options across firms. Finally, the authors propose advancing knowledge on HRM practice adoptions by using a portfolio of options approach, as well as considering factors like competitors, path dependence, and switching options.

The purpose of this paper is to supplement and update previously published articles about artificial intelligence (AI) instruments and operations in banking sectors with the following objectives in mind: to understand the role of AI in banking sectors; to explore the themes and context in this area based on keywords, co-citations and co-words; and to identify future research direction by evaluating the trend and direction of previous research.

This study adopts a semi-inductive approach with the convolution of bibliometrics and literature review. This study used bibliometrics for the identification of literature across multiple databases and systematic literature review on identified articles to explore heterogeneous sectors within AI in banking and finance.

This study contributes a literature-based model that accounts for both the broadly in AI application in banking and finance: predictive modeling in risk assessment and detection; financial decision-making; client service delivery; and emerging FinTech applications of AI and machine learning.

This study is among the few to address the literature of tools and application of AI in banking through mixed-methods approach and produce a synthesized model for the same.

This study aims to complement the literature disparity regarding the practice of technology in intermediary business models, which is still limited. The discussions of this study comprise (1) the comprehension of intermediary business models through building block modification and (2) the crystallization of blockchain adoption for intermediary business models.

This study encourages the development of a new canvas through the iteration between theories and empirical evidence of intermediary business models, including using blockchains in this model. The new canvas was developed referring to the system complexity of the intermediate business model and confirmed using a single case study. The case studied was ALKO, which drives its business value by adopting blockchain technology. A few data sources were used to produce robust findings in this study.

The new canvas can elucidate the intermediary business model with designated case studies. Blockchain technology significantly contributes to the intermediary business model, where this technology can influence the entire activity system. The technology is being adopted as a “creation” for the firm to realize the “proposition” offered and “capture” value. In this typical business model, this technology is applied to implement shared values such as traceability, authenticity and integrity of information. This business model shows firm activities as coherent and cohesive relationships between blocks.

Blockchain technology strengthens intermediary business models through its unique features. This study also describes the role of this technology in a particular system through the development of an intermediary business model canvas using a descriptive study. The intensity of this technology on a typical business model is clearly explained in this study.

This research brings a novel value in developing a canvas for intermediary business models and confirms the role of blockchain technology in this business model. The canvas design was carried out systematically, including explaining the contributions of blockchains in detail.

The timeliness and quality of information provided to board members are crucial for them to effectively monitor and advise a firm. This study examines the influence of board composition and structure on (1) the board’s actions to mitigate the information asymmetry problem by implementing enterprise information systems (EIS) and (2) the board of directors’ awareness of information asymmetry, their perception of its causes and their efforts to address it.

Our research employs a mixed-methods approach. First, using data from 115 publicly listed Chinese companies, we empirically assess the likelihood of top-level EIS modules adoption at the firm level. Subsequently, through 23 semi-structured interviews, we aim to gain deeper insights into the behavioral motivations behind directors’ attempts to reduce information asymmetry.

The study reveals that boards with a higher number of independent directors or with a strategy committee – indicative of a greater concern regarding information asymmetry problems – are more inclined to adopt top-level EIS modules. Additionally, we identify three primary sources of information asymmetry that directors consider significant in prompting the adoption of top-level EIS modules to alleviate perceived information asymmetry.

This study contributes to both the corporate governance and information systems literature. The implementation and utilization of EIS at the board level have not been extensively explored previously. Moreover, while the issue of information asymmetry at the board level is recognized as a critical governance challenge, the ways in which directors perceive and address this issue remain largely unknown. Our research seeks to illuminate this relatively less-explored area.