scholarly journals A systematic literature review on BPMN extensions

2019 ◽  
Vol 26 (6) ◽  
pp. 1473-1503 ◽  
Author(s):  
Karim Zarour ◽  
Djamel Benmerzoug ◽  
Nawal Guermouche ◽  
Khalil Drira

Purpose Business Process Model and Notation (BPMN) is a generic language that is often extended by researchers, either for dealing with processes of specific domains or for improving the language itself. The purpose of this paper is to present a literature review that aims to determine the current state of the art of BPMN extensions and identify the gaps that should be filled in this research area. Design/methodology/approach For a comprehensive and effective analysis, a systematic literature review was conducted. After the collection and filtering of papers, 52 extensions were retained to be thoroughly examined and compared according to a set of criteria including objective, targeted domain, conformity to the extension mechanism, demonstration, implementation, etc. Findings The representation of the results in the form of tables and graphs allowed the authors to deduce several positive points on the extensions as their demonstration through concrete examples. On the other hand, the authors have observed several shortcomings and suggested recommendations for addressing them. Originality/value To the best of the authors’ knowledge, the literature review is the only one that evaluates and compares all BPMN extensions over the last four years, based on several criteria covering different aspects. Furthermore, the authors were able to verify the conformity of extensions as they were published after the introduction of the BPMN extension mechanism by the Object Management Group.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamrul Ahsan ◽  
Shams Rahman

PurposeThis study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through purely online or brick-and-click channels and then returned by consumer to business.Design/methodology/approachUsing a systematic literature review protocol, we identified 75 peer-reviewed articles on e-tail product returns, conducted bibliometric analysis and content analysis of the articles and summarised our findings.FindingsThe findings reveal that the subject of e-tail returns is a new research area; academics have started to investigate several aspects of e-tail returns through different research methodologies and theoretical foundations. Further research is required in leading e-commerce countries and on key areas such as omni-channel returns management, customer satisfaction and service, the impact of resources such as people skills, the benefits of technology and IT systems in managing e-tail returns.Practical implicationsThe study offers a summative account of current e-tail knowledge areas, which can serve as a reference guide for e-tailers to develop strategies for more efficient and competitive product returns.Originality/valueThis study contributes theoretically by developing clusters of key themes or knowledge areas about e-tail returns. It also provides a conceptual framework for e-tail returns management, which can be used as a springboard for further empirical research.


Author(s):  
Alexandra Lagorio ◽  
Roberto Pinto ◽  
Ruggero Golini

Purpose The last decades have witnessed an increased interest in urban logistics originating from both the research and the practitioners’ communities. Sustainable freight transports today are on the political, social and technological agenda of many actors operating in urban contexts. Due to the extent of the covered areas and the continuous progress in many fields, the resulting body of research on urban logistics appears quite fragmented. From an engineering management perspective, the purpose of this paper is to present a systematic literature review (SLR) that aims to consolidate the knowledge on urban logistics, analyse the development of the discipline, and provide future research directions. Design/methodology/approach The paper discusses the main evidence emerging from a SLR on urban logistics. The corpus resulting from the SLR has been used to perform a citation network analysis and a main path analysis that together underpin the identification of the most investigated topics and methodologies in the field. Findings Through the analysis of a corpus of 104 articles, the most important research contributions on urban logistics that represent the structural backbone in the development of the research over time in the field are detected. Based on these findings, this work identifies and discusses three areas of potential interest for future research. Originality/value This paper presents an SLR related to a research area in which the literature is extremely fragmented. The results provide insights about the research path, current trends and future research directions in the field of urban logistics.


2019 ◽  
Vol 26 (5) ◽  
pp. 500-517 ◽  
Author(s):  
Shubham Sharma ◽  
Usha Lenka

Purpose Learning, unlearning and relearning (LUR) has been preached as a panacea to organizations. Whereas, research on learning and unlearning has grown exponentially, relearning is still considered as an obscure concept. This paper aims to provide a new insight on organizational relearning and highlight its linkages with organizational unlearning. Design/methodology/approach This study is based upon a systematic literature review of organizational unlearning and organizational relearning. Papers expounding upon relearning were carefully analyzed vis-à-vis organizational unlearning. Findings Organizational unlearning and organizational relearning assume a vital place in developing a learning organization. However, linking the two processes in a sequence tends to arouse certain conceptual difficulties. First, it is not necessary that relearning follows this prescribed ordering sequence. It is a process that can happen without prior unlearning. Second, based on the process model and multiple definitions of unlearning, the very purpose of organizational unlearning is to acquire new knowledge (relearning in literature). Therefore, in this sense, relearning seems to become a redundant concept and a neologism. As a result, this hampers the proper contextualization of relearning. Originality/value This paper attempts to expound upon the debate of organizational relearning and its interplay with organizational unlearning. As the concept of lifelong learning and building learning organizations assumes the center stage in contemporary organizations, it is suggested that unless the conceptual issues of related to LUR are not adequately addressed, academicians will naturally find it difficult to prescribe proper course of action to practitioners.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Roberto Salazar-Reyna ◽  
Fernando Gonzalez-Aleu ◽  
Edgar M.A. Granda-Gutierrez ◽  
Jenny Diaz-Ramirez ◽  
Jose Arturo Garza-Reyes ◽  
...  

PurposeThe objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.Design/methodology/approachA systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.FindingsFrom the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.Research limitations/implicationsThe use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.Originality/valueTo the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.


Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 982-1019
Author(s):  
Erhan Pişirir ◽  
Erkan Uçar ◽  
Oumout Chouseinoglou ◽  
Cüneyt Sevgi

Purpose This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design. Design/methodology/approach Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions. Findings A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors. Originality/value Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.


2020 ◽  
Vol 69 (7) ◽  
pp. 1541-1578 ◽  
Author(s):  
Olufunke Olufunmi Oladimeji ◽  
Heather Keathley-Herring ◽  
Jennifer A. Cross

PurposeThis study investigates system dynamics (SD) applications in performance measurement (PM) research and practice. A bibliometric analysis was conducted to investigate the maturity of this research area and identify opportunities for development.Design/methodology/approachA systematic literature review (SLR) was conducted to provide a comprehensive and rigorous review of the existing literature. The search was conducted on 10 platforms identifying 97 publications, which were evaluated using bibliometric analysis.FindingsThe analysis revealed that applications of SD are most commonly used in the PM system design phase to model organisational performance. In addition, the bibliometric results showed a highly dispersed author set, with most studies using exploratory methods, suggesting that the research is in a relatively early stage of development. The results also showed that over 50 per cent of the causal models were not validated, emphasizing an important methodological gap in this research area.Research limitations/implicationsThis SLR is limited to indexed publications on 10 platforms, the search strategy was relatively precise and only available papers in English language were used for the literature review.Practical implicationsPM systems supported by SD can help managers understand and improve organisational behaviours by addressing dynamic complexities and relationship between variables. This study evaluates the maturity of this research area including information about the current development of this area and opportunities to build on existing knowledge.Originality/valueThis study identifies how SD approaches are applied to PM and highlights areas that require further research consideration. This paper is the first of two publications to result from this study and focuses on evaluating the current state of this research area.


2014 ◽  
Vol 19 (5/6) ◽  
pp. 523-557 ◽  
Author(s):  
Muhammad Mustafa Kamal ◽  
Zahir Irani

Purpose – This paper aims to focus on systematically analysing and synthesising the extant research published on supply chain integration (SCI) area, given the significance of SCI research area. More specifically, the authors aim to answer three questions: “Q1 – What are the factors (e.g. both driving and inhibiting) that influence SCI?”, “Q2 – What are the key developments (e.g. both in research and industry) in SCI area?” and “Q3 – What are the approaches employed/discussed to integrate supply chains?”. Over the past decade, SCI has gained increasing attention in the supply chain management (SCM) context, both from the practitioners’ perspective and as a research area. In realising the global transformations and competitive business environment, a number of organisations are collaborating with their supply chain (SC) partners, to conduct seamless SC operations. Design/methodology/approach – A systematic and structured literature review is carried out to observe and understand the past trends and extant patterns/themes in the SCI research area, evaluate contributions and summarise knowledge, thereby identifying limitations, implications and potential directions of further research. Thus, to trace the implementation of SCI practices, a profiling approach is used to analyse 293 articles (published in English-speaking peer-reviewed journals between 2000 and 2013) extracted from the Scopus database. The Systematic Review Approach proposed by Tranfield et al. (2003) was followed to analyse and synthesise the extant literature on SCI area. Findings – The analysis presented in this paper has identified relevant SCI research studies that have contributed to the development and accumulation of intellectual wealth to the SCI and SCM area. Each of the 293 papers was examined for achieving the aim and objectives of the research, the method of data collection, the data analysis method and quality measures. While some of the papers provided information on all of these categories, most of them failed to provide all the information, especially for Q2 and Q3 that resulted in 23 and 21 papers, respectively. Research limitations/implications – This study would have benefited from the analysis of further journals; however, the analysis of 293 articles from leading journals in the field of operations and SCM was deemed sufficient in scope. Moreover, this research has implications for researchers, journal editors, practitioners, universities and research institutions. It is likely to form the basis and motivation for profiling other database resources and specific operations and SCM-type journals in this area. Practical implications – This systematic literature review highlights a taxonomy of contextual factors driving and inhibiting SCI for researchers and SC practitioners to refer to while researching or implementing SCI. It also exemplifies some areas for future research, along with the need for researchers to focus on developing more practical techniques for implementing SCI and improving organisational performance. Originality/value – The prime value and uniqueness of this paper lies in analysing and compiling the existing published material in relation to Q1, Q2 and Q3, including examining other variables (such as yearly publications, geographic location of each publication, type of publication, type of research methods used), which lacks in the recent published five SCI literature review-based articles (by Kim, 2013; Leuschner et al., 2013; Alfalla-Luque et al., 2013; Parente et al., 2008; Fabbe-Costes and Jahre, 2007). This has been achieved by extracting and synthesising existing publications using “Supply Chain Integration” keyword. This paper provides a critique of the conceptual and empirical works in SCI discipline and offers research agendas that can stimulate future researchers to carefully explore the topic.


2016 ◽  
Vol 27 (2) ◽  
pp. 438-462 ◽  
Author(s):  
Andreas Jede ◽  
Frank Teuteberg

Purpose – There are cloud computing (CC) services available for various applications within the supply chain management (SCM). These services offer, for example, consistent global networking platforms and enable quick decision making, which may strengthen competitive advantages. The specification of the single-related elements and the coordination mechanisms between actors and information flows is complex. In this paper, the authors argue that reference models can accelerate understanding these processes. The purpose of this paper is to gain an understanding of the current state of the underlying research field and to present a reference model that supports theory and practice in adopting CC services at SCM. Design/methodology/approach – This paper provides a cross-discipline systematic literature review from the research perspectives of information systems and SCM. Based on 102 papers, the authors designed a reference model showing the interrelations between various elements of CC and SCM. Findings – The authors discover the most important chances and risks for CC implementations in supply chain (SC) processes and pay special attention to SC sustainability aspects of CC. Until now, SCM research in the realm of CC usage is still in its infancy both in theory and practice. Originality/value – To the best of the authors’ knowledge, there is no systematic literature review that consistently focusses CC usage within SC processes while integrating specific aspects of strategic theory. The obtained insights lead to the first SCM-related reference model for CC usage.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Brajesh Mishra ◽  
Avanish Kumar

PurposeThe regulatory framework may be construed as the existence of supporting infrastructure that assists in control, direction/implementation of a proposed course of law, rule or action. The regulatory order is now more formalized, expert-driven, transparent, independent and pervasive across countries and sectors. As a result, regulatory reforms enable markets to function efficiently by providing a supportive environment for increased investment, private sector growth and market-led economic growth. This study aims to review previous literature for understanding the impact of sectoral regulatory framework on sectoral performance.Design/methodology/approachThis paper has adopted a systematic literature review to understand dynamics between the sectoral regulatory framework and sectoral performance. While seven multidisciplinary databases were used to identify 51 research articles, the bibliometric research profiling was executed to broaden academic research.FindingsThe results are organized into three broad categories: research context, research area and research methods. The identified articles exhibited association with 12 distinct sectors/industries, with maximum articles belonging to telecom, energy and finance industries. The study has focused on evolution of regulatory studies, impact of regulatory framework on sectoral performance and commonality in regulatory studies. Among the 15 distinct research contexts identified in this systematic literature review (SLR), the highest mapping was registered (from 23 articles) by the research context “impact of regulatory framework on the sector–institutions, infrastructure and performance indicators.”Practical implicationsPublic administration researchers are increasingly using mixed methods research approaches to add diverse and novel perspectives on wicked problems. The qualitative approach (grounded theory, action research, phenomenology and participant observations) is appropriate for understanding the native viewpoints of regulatory practitioners and reducing the gap between rigor and relevance.Originality/valueThe study addresses lack of systematic review of articles covering the impact of regulatory framework on sectoral performance encompassing all sectors by, inter alia, collating important bibliometric profiles of the identified articles.


2020 ◽  
Vol 12 (4) ◽  
pp. 413-435 ◽  
Author(s):  
Mrinalini Srivastava ◽  
Gagan Deep Sharma ◽  
Achal Kumar Srivastava ◽  
S. Senthil Kumaran

Purpose Neuroeconomics and neurofinance are emerging as intriguing fields of research, despite sharing ambiguity with the concepts of neuroscience. The relationship among the concepts of economics, finance and neuroscience is not explicitly defined in the past literature, which distorts the use of neuroeconomics and neurofinance approaches in real-world practice for financial decision-making. The purpose of this paper is to consolidate the literature in the field of neuroeconomics and neurofinance to set up the research agenda for the upcoming scholarship in the field. Design/methodology/approach The purpose of this paper is to consolidates the extant literature in the fields of neuroeconomics and neurofinance by conducting an extensive systematic literature review to investigate the current state and define the relationship between economics, finance and neuroscience. Findings This paper identifies and explains the explicit relationship between different sub-fields of neuroscience with neuroeconomics and neurofinance and providing instances for future research studies. Originality/value The exclusive and extensive literature survey in the form of systematic literature review is undertaken for understanding the fields of neuroeconomics and neurofinance and is the key highlight of this paper. Another, interesting fact lies with matching the literature in neuroeconomics and neurofinance with further sub-fields of neuroscience such as neurophysiology, neuroanatomy, molecular neuroscience and cognitive neuroscience.


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