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1 – 10 of over 264000Elena Isabel Vazquez Melendez, Paul Bergey and Brett Smith
This study aims to examine the blockchain landscape in supply chain management by drawing insights from academic and industry literature. It identifies the key drivers…
Abstract
Purpose
This study aims to examine the blockchain landscape in supply chain management by drawing insights from academic and industry literature. It identifies the key drivers, categorizes the products involved and highlights the business values achieved by early adopters of blockchain technology within the supply chain domain. Additionally, it explores fingerprinting techniques to establish a robust connection between physical products and the blockchain ledger.
Design/methodology/approach
The authors combined the interpretive sensemaking systematic literature review to offer insights into how organizations interpreted their business challenges and adopted blockchain technology in their specific supply chain context; content analysis (using Leximancer automated text mining software) for concept mapping visualization, facilitating the identification of key themes, trends and relationships, and qualitative thematic analysis (NVivo) for data organization, coding and enhancing the depth and efficiency of analysis.
Findings
The findings highlight the transformative potential of blockchain technology and offer valuable insights into its implementation in optimizing supply chain operations. Furthermore, it emphasizes the importance of product provenance information to consumers, with blockchain technology offering certainty and increasing customer loyalty toward brands that prioritize transparency.
Research limitations/implications
This research has several limitations that should be acknowledged. First, there is a possibility that some relevant investigations may have been missed or omitted, which could impact the findings. In addition, the limited availability of literature on blockchain adoption in supply chains may restrict the scope of the conclusions. The evolving nature of blockchain adoption in supply chains also poses a limitation. As the technology is in its infancy, the authors expect that a rapidly emerging body of literature will provide more extensive evidence-based general conclusions in the future. Another limitation is the lack of information contrasting academic and industry research, which could have provided more balanced insights into the technology’s advancement. The authors attributed this limitation to the narrow collaborations between academia and industry in the field of blockchain for supply chain management.
Practical implications
Practitioners recognize the potential of blockchain in addressing industry-specific challenges, such as ensuring transparency and data provenance. Understanding the benefits achieved by early adopters can serve as a starting point for companies considering blockchain adoption. Blockchain technology can verify product origin, enable truthful certifications and comply with established standards, reinforcing trust among stakeholders and customers. Thus, implementing blockchain solutions can enhance brand reputation and consumer confidence by ensuring product authenticity and quality. Based on the results, companies can align their strategies and initiatives with their needs and expectations.
Social implications
In essence, the integration of blockchain technology within supply chain provenance initiatives not only influences economic aspects but also brings substantial social impacts by reinforcing consumer trust, encouraging sustainable and ethical practices, combating product counterfeiting, empowering stakeholders and contributing to a more responsible, transparent and progressive socioeconomic environment.
Originality/value
This study consolidates current knowledge on blockchain’s capacity and identifies the specific drivers and business values associated with early blockchain adoption in supply chain provenance. Furthermore, it underscores the critical role of product fingerprinting techniques in supporting blockchain for supply chain provenance, facilitating more robust and efficient supply chain operations.
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This study aims to objectively synthesize the volume of accounting literature on financial statement fraud (FSF) using a systematic literature review research method (SLRRM). This…
Abstract
Purpose
This study aims to objectively synthesize the volume of accounting literature on financial statement fraud (FSF) using a systematic literature review research method (SLRRM). This paper analyzes the vast FSF literature based on inclusion and exclusion criteria. These criteria filter articles that are present in the accounting fraud domain and are published in peer-reviewed quality journals based on Australian Business Deans Council (ABDC) journal ranking. Lastly, a reverse search, analyzing the articles' abstracts, further narrows the search to 88 peer-reviewed articles. After examining these 88 articles, the results imply that the current literature is shifting from traditional statistical approaches towards computational methods, specifically machine learning (ML), for predicting and detecting FSF. This evolution of the literature is influenced by the impact of micro and macro variables on FSF and the inadequacy of audit procedures to detect red flags of fraud. The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.
Design/methodology/approach
This paper chronicles the cluster of narratives surrounding the inadequacy of current accounting and auditing practices in preventing and detecting Financial Statement Fraud. The primary objective of this study is to objectively synthesize the volume of accounting literature on financial statement fraud. More specifically, this study will conduct a systematic literature review (SLR) to examine the evolution of financial statement fraud research and the emergence of new computational techniques to detect fraud in the accounting and finance literature.
Findings
The storyline of this study illustrates how the literature has evolved from conventional fraud detection mechanisms to computational techniques such as artificial intelligence (AI) and machine learning (ML). The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.
Originality/value
This paper contributes to the literature by providing insights to researchers about why the evolution of accounting fraud literature from traditional statistical methods to machine learning algorithms in fraud detection and prediction.
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Rosemarie Santa González, Marilène Cherkesly, Teodor Gabriel Crainic and Marie-Eve Rancourt
This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and…
Abstract
Purpose
This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.
Design/methodology/approach
This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).
Findings
Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.
Originality/value
This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.
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Josip Marić, Mirjana Pejić Bach and Shivam Gupta
The purpose of this study is to disclose ontology of DSI as a novel concept in servitization community, explore the research context and themes (i.e. technological and industrial…
Abstract
Purpose
The purpose of this study is to disclose ontology of DSI as a novel concept in servitization community, explore the research context and themes (i.e. technological and industrial sectors) where DSI emerges, unveil methodological complexities of the research on digital servitization and DSI and provide guidelines for future research avenues regarding DSI.
Design/methodology/approach
Bearing in mind the relative novelty of DSI as a concept in servitization literature, the authors adopted a systematic literature review approach to identify 111 peer-reviewed articles published in English language and available in business and management disciplines via scholar databases (Scopus). The analysis of literature discloses descriptive and thematic insights regarding digital servitization and DSI.
Findings
The study provides valuable insights from the descriptive and thematic analyses where classification of articles per publication year, citations, methodology/type of the paper, geographical location of data collection, as well as industrial sector and technological contexts are discussed. Moreover, the unique value of this study is observed through its specific focus on the characteristics of DSI-related literature.
Originality/value
The study is among the first of its kind to provide extensive descriptive and thematic insights on the available literature dealing with digital servitization and DSI, mapping out prior research across a wide spectrum of publication outlets and illustrating the chronological evolution of research on digital servitization and DSI.
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Hafiz Muhammad Wasif Rasheed, He Yuanqiong, Hafiz Muhammad Usman Khizar and Junaid Khalid
This study aims to identify, review and synthesize existing literature on key theories, drivers and barriers affecting consumer adoption or resistance to artificial intelligence…
Abstract
Purpose
This study aims to identify, review and synthesize existing literature on key theories, drivers and barriers affecting consumer adoption or resistance to artificial intelligence (AI) in the hospitality sector.
Design/methodology/approach
This study aims to conduct a complete literature review of the accrued knowledge generated so far on AI in the hospitality sector. To attain the overall objectives of this study, we used the systematic literature review (SLR) method. This method systematically handles the diversity of knowledge in a specific topic to answer precise research questions. It also generates new visions through a synthesis of the literature, to identify the knowledge gaps, set the new directions for the future researcher and provide sufficient guidance to inform the policy and practice.
Findings
The findings of this study are presented in three sections, as follows: descriptive analysis, content analysis and synthesized framework. The findings highlighted the state-of-the-art mapping of the existing research in terms of publication frequency over time and across publication outlets, key theories, methods and geographies. In addition, literature on consumer adoption (or resistance) of AI in hospitality is content analyzed to highlight key drivers and barriers. Moreover, this review critically evaluates extant literature and sets future agendas by postulating specific research questions for further knowledge development in this field of study.
Research limitations/implications
The SLR focused on consumer adoption or resistance to use AI in hospitality literature. The future researcher may include additional streams to get better results.
Practical implications
The study findings will help multiple stakeholders to understand the underlying causes of customer resistance or barriers to the intention to use/adopt AI services in the hotel sector. Furthermore, study results will allow them to better analyze the relationship between customer barriers, intents or consumer decision behaviors.
Originality/value
First, this study provides a comprehensive synthesis of the literature on the consumer adoption or resistance of AI in hospitality. This study categorizes the existing diversified literature in two main themes – drivers and barriers – to present a simplistic picture of the existing literature. Second, the review highlights the gaps and limitations in existing research and provides guidance for future scholars. Third, the key contribution of this review is the development of a unified framework on the consumer adoption or resistance of AI in the hospitality sector. That is, this study puts forward the behavioral reasoning theory framework and suggests that future research using this lens will immensely contribute to existing literature. Finally, this study facilitates the practitioners to understand the key motivating and hindering factors affecting the adoption and resistance behavior.
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Damithri Chathumani Lansakara, Loic Le De, Michael Petterson and Deepthi Wickramasinghe
The paper reviews existing literature on South Asian ecosystem-based disaster risk reduction (DRR) and identifies how community participation can be used to plan and implement…
Abstract
Purpose
The paper reviews existing literature on South Asian ecosystem-based disaster risk reduction (DRR) and identifies how community participation can be used to plan and implement ecosystem-based DRR approaches.
Design/methodology/approach
The literature review methodology involved several stages. Firstly, the research objective was determined. Secondly keywords for the literature search were determined. Scopus, Google Scholar, JSTOR and AUT online library were utilized for the literature search. After the search, the literature was screened. The study design, methodology, results and limitations were identified and documented. After data extraction, the literature was analyzed. The patterns, trends and inconsistencies in the literature were identified based on the research question. Later the gaps, controversies and future research needs were identified. Then, a comprehensive and structured literature review that summarizes the relevant literature, synthesizes the findings and provides a critical evaluation of the literature was documented. After writing the document, it was reviewed and edited to ensure its clarity, accuracy and coherence.
Findings
The paper identifies four different themes recurrently emerging in literature on the importance of community participation in ecosystem-based DRR in South Asia. The themes are local community participation in ecosystem-based DRR governance, knowledge production, livelihood enhancement and increased public acceptance.
Originality/value
The paper also illustrates the challenges in integrating community participation with the dominant physical scientific approaches ecosystem-based DRR and proposes a five-element framework to facilitate the integration.
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Milind Tiwari, Jamie Ferrill and Douglas M.C. Allan
This paper aims to offer the first known synthesis of peer-reviewed literature on trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining…
Abstract
Purpose
This paper aims to offer the first known synthesis of peer-reviewed literature on trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining prominence across scholarship and practice, this foundation is pertinent for future TBML research.
Design/methodology/approach
A systematic literature review was undertaken with a formulaic search string. Both qualitative (thematic) and quantitative (meta) analysis methods were used to illustrate the findings.
Findings
The systematic literature review, using qualitative and quantitative synthesis, led to a thematic categorization of extant TBML literature into four categories: TBML risk assessment, TBML detection, the role of professionals and understanding of TBML. Due to the limited number of studies, insights that can be drawn from the extant literature on the best way to combat TBML are also limited.
Originality/value
As the first systematic literature review on TBML, this study identified that the existing TBML literature has focused on increasing the understanding of the phenomenon in terms of its definition and mechanisms, detection, linkage with other crimes, such as organized crime and terrorism financing, and risk assessment frameworks. The originality of these findings lies in identifying areas future researchers might explore to broaden the academic literature.
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Wally Thompson and Debra Coffey
This project was designed to study situated literacies, using New Literacy Studies (NLS) in a community school and included five distinct, progressive phases. This chapter reports…
Abstract
This project was designed to study situated literacies, using New Literacy Studies (NLS) in a community school and included five distinct, progressive phases. This chapter reports on the Preparatory Phase. We led in-service sessions to share insights for student-centered instruction from a constructivist perspective with faculty members whose experience with literacy instruction had primarily been reflective of the skills-based paradigm. The focus of the first phase was to prepare the teachers to employ literature circles to revitalize literacy instruction and achievement. During this first year of this longitudinal study, teachers began gradually introducing constructivist methodologies into their literacy instruction and discussing them with us in the in-service sessions. All aspects of this project emphasized synergistic collaboration, featuring community building and collaborative sessions with teachers. Literature circles with high-interest literature by indigenous authors enhanced the learning activities and mini-lessons prepared teachers and their students for this exploration. In-service sessions laid the foundation for the project, and these sessions provided opportunities for ongoing collaboration. As we invited teachers and administrators to participate in constructivist pedagogical approaches featuring literature circles, we emphasized collaborative discussions to determine the most beneficial books, materials, and pedagogical strategies for students. Teachers and students experienced the power of synergistic collaboration as they explored engaging literature and shared their schema in meaningful discourse. This experience revitalized literacy achievement as students became more engaged in learning, and teachers noted the impact of their enthusiasm for learning. Students and teachers have experienced the power of synergistic collaboration while reading and writing during literature circles. Connecting culture and literacy with the power of synergistic collaboration invariably increased the learners’ engagement with and enjoyment of reading, writing, speaking and listening. This research-based design can serve as a template for incorporating cultural heritage into literacy education for all who educate indigenous students.
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Management research is a discipline characterized by heterogeneity in viewpoints, the application of research to real-life problems in the organization and the multidisciplinary…
Abstract
Management research is a discipline characterized by heterogeneity in viewpoints, the application of research to real-life problems in the organization and the multidisciplinary nature of research problems. The need for a good literature review is paramount in doctoral dissertations with a view to justifying research agendas and help interested scholars use synthesized organization of extant work. The paper aims to provide an overview of the types of review, pointers for effective review, evaluating sources of information, referencing the sources cited, and avoidance of plagiarism in writing literature reviews. The paper is intended to make doctoral scholars understand the importance of literature reviews, the organization and synthesis of ideas involved, and the rigor in detailing references and avoiding plagiarism to increase the quality of the finished output.
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This essay addresses the theme of guilt in law and literature from the law side. It argues that the legal academy's flirtation with literature reflects two forms of guilty…
Abstract
This essay addresses the theme of guilt in law and literature from the law side. It argues that the legal academy's flirtation with literature reflects two forms of guilty uneasiness. The first relates to the question whether lawyers should be reading literature at all. This is a methodological anxiety. It presumes a distinctly legal method of analyzing legal issues, in which literature does not have a truly legitimate role. The second anxiety is substantive. It presumes that law has an identifiable content, one that excludes much that appears in literature. Both presumptions are, I argue, questionable and make sense only if law is viewed as primarily doctrinal. Fundamentally, these varieties of uneasiness have their roots in the still unresolved conceptual challenge of figuring precisely what is “interdisciplinary” about the law and literature enterprise. Developing an honest form of “interdisciplinarity” will be difficult if not impossible because it requires an examination of usually unstated assumptions about the uniqueness of law.