Predicting corporate failure: a systematic literature review of methodological issues

2015 ◽  
Vol 57 (5) ◽  
pp. 461-485 ◽  
Author(s):  
Kingsley Opoku Appiah ◽  
Amon Chizema ◽  
Joseph Arthur
Keyword(s):  
Literature Review ◽  
Expert Systems ◽  
Systematic Literature Review ◽  
Failure Prediction ◽  
Content Type ◽  
Corporate Failure ◽  
Theoretical Approaches ◽  
Methodological Problems ◽  
Corporate Failure Prediction ◽  
Prediction Problems

Purpose – This paper aims to review the existing literature systematically so as to contribute towards a better understanding of methodological problems of the classical statistical techniques, artificially intelligent expert systems and theoretical approaches to solve the corporate failure syndrome. Design/methodology/approach – This paper presented a systematic review of 83 articles reporting 137 prediction failure models published within 1966-2012 in scholarly reviewed journals in four main disciplines, namely, accounting, finance, banking and economics. The authors performed the systematic literature review with five main sources, namely, Science Direct, Google Scholar, Wiley Interscience, Metalib, Web of Science and Business Source Complete of the Social Sciences. The review modified the approaches used by Aziz and Dar (2006), Ravi and Ravi (2007) and Balcaen and Ooghe (2006). Findings – The results indicate significant body of prior literature on prediction of corporate failure, but a theoretically sound, highly accurate, simple and widely used corporate failure prediction model for stakeholders has yet to be developed. Originality/value – This paper contributes towards a systematic understanding of the methodological problems associated with the statistical, artificially intelligent expert systems and theoretical approaches to solve the corporate failure prediction problems faced by firms in 11 countries.

Corporate failure prediction models in the twenty-first century: a review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
David Veganzones ◽  
Eric Severin
Keyword(s):  
Prediction Models ◽  
Failure Prediction ◽  
First Century ◽  
Evaluation Metrics ◽  
Prediction Methods ◽  
Content Type ◽  
Corporate Failure ◽  
Twenty First Century ◽  
Definition Of ◽  
Corporate Failure Prediction

Purpose Corporate failure remains a critical financial concern, with implications for both firms and financial institutions; this paper aims to review the literature that proposes corporate failure prediction models for the twenty-first century. Design/methodology/approach This paper gathers information from 106 published articles that contain corporate failure prediction models. The focus of the analysis is on the elements needed to design corporate failure prediction models (definition of failure, sample approach, prediction methods, variables and evaluation metrics and performance). The in-depth review creates a synthesis of current trends, from the view of those elements. Findings Both consensus and divergences emerge regarding the design of corporate failure prediction models. On the one hand, authors agree about the use of bankruptcy as a definition of failure and that at least two evaluation metrics are needed to examine model performance for each class, individually and in general. On the other hand, they disagree about data collection procedures. Although several explanatory variables have been considered, all of them serve as complements for the primarily used financial information. Finally, the selection of prediction methods depends entirely on the research objective. These discrepancies suggest fundamental advances in discovery and establish valuable ideas for further research. Originality/value This paper reveals some caveats and provides extensive, comprehensible guidelines for corporate failure prediction, which researchers can leverage as they continue to investigate this critical financial subject. It also suggests fruitful directions to develop further experiments.

Female entrepreneurship in emerging and developing countries: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Victor Silva Corrêa ◽  
Fernanda Regina da Silva Brito ◽  
Rosileine Mendonça de Lima ◽  
Maciel M. Queiroz
Keyword(s):  
Developing Countries ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Future Research ◽  
Female Entrepreneurship ◽  
Content Type ◽  
Factors Affecting ◽  
Future Research Agenda ◽  
Theoretical Approaches ◽  
Emerging And Developing Countries

PurposeDespite the increase in female entrepreneurship literature, very few studies exist that systematize the extant literature, especially in emerging and developing countries. This article fills part of this gap; it maps, categorizes and groups the objectives, theoretical approaches and research methods on female entrepreneurship conducted in one or more of the 155 emerging and developing countries.Design/methodology/approachA systematic literature review (SLR) was conducted, using Scopus and Web of Science, over a 10-year timeframe (2010–2020). Out of 465 papers, 77 were selected for content analysis.FindingsMost articles focus on understanding women entrepreneurs' challenges, the factors affecting their entrepreneurial performance and encouraging entrepreneurship. Qualitative research was found to be the predominant approach, while mixed studies appeared less frequently.Practical implicationsThis paper sheds light on female entrepreneurship characteristics, including business competence, performance and entrepreneurial orientation. Further, it can help female entrepreneurs to recognize the most relevant aspects regarding performance, the essential driving factors and entrepreneurial motivations, among others.Originality/valueFirst, this paper groups the objectives and the theoretical and methodological approaches that guide female entrepreneurship research. Second, it identifies distinct gaps, grouped and explored using unpublished thematic categories. Finally, the authors propose an extensive future research agenda regarding female entrepreneurship in emerging and developing countries.

Public appointments as a tool for public governance: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Simone Cocciasecca ◽  
Giuseppe Grossi ◽  
Alessandro Sancino
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Geographical Area ◽  
Future Research ◽  
Academic Journal ◽  
Theoretical Frameworks ◽  
Public Governance ◽  
Content Type ◽  
Theoretical Approaches

PurposeThe purpose of this paper is to review previous research on public appointments to systematize existing knowledge, identify gaps and discuss implications for future research in this field.Design/methodology/approachThis paper is based on a systematic literature review, carried out using the Scopus database. We selected academic articles published in journals ranked in the 2018 CABS Academic Journal Guide plus public administration articles in journals classified by Google as falling within the areas of public policy and administration. The papers were analysed according to four categories: geographical area, theoretical framework, research method and organizational setting.FindingsResults show the lack of research regarding areas like Latin America or East Asia; from a theoretical viewpoint, given the lack of explicit theoretical approaches, future research should have more formal and clear theoretical frameworks. Moreover, given the dominance of case study and review/reflection studies, alternative research methods, such as surveys or mixed methods are suggested for future works.Research limitations/implicationsWe identify a new research agenda to revive the focus on public appointments as a tool for intra- and inter-organizational governance in the public sector. Specifically, we argue that how the process of public appointments is managed has huge democratic implications, and public managers have a key role to play in that respect by designing effective governance systems and organizational procedures. The selection of papers has been limited to articles published in peer- review journals ranked in the 2018 CABS Guide; no distinctions have been made regarding journals' positioning in the ranking. Moreover, this work takes a managerial and organizational approach, while the research on public appointments is clearly interdisciplinary, with previous contributions coming mainly from political scientists.Originality/valueDespite the relevant body of literature on this topic, this study represents the first manuscript to summarize the state of the art of this theme, providing a research agenda on this very relevant but quite neglected issue in public governance.

Utilizing a systematic literature review to develop an integrated framework for information and knowledge management systems

2017 ◽  
Vol 47 (2) ◽  
pp. 250-264 ◽  
Author(s):  
Chulatep Senivongse ◽  
Alex Bennet ◽  
Stefania Mariano
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Value Added ◽  
Specific Area ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Content Type ◽  
Integrated Framework ◽  
Information And Knowledge Management

Purpose The purpose of this paper is to demonstrate the value of using a systematic literature review to develop an integrated framework for information and knowledge management systems. Design/methodology/approach First, the systematic literature review method is introduced, differentiating it from traditional literature reviews in terms of value-added and limitations. Second, this methodology is used in a research application focused on absorptive capacity internal capabilities with regard to the processes of acquisition, assimilation, transformation and exploitation. Third, an integrated framework for information and knowledge management systems is developed from this application. Findings The systematic literature review approach provides a rigor that can assist in reducing researcher bias while simultaneously enabling the definition of a precise scope of review, with a clear explanation of selection criteria with the objective to find and review all the studies that are relevant to the search definitions. As a research method, it effectively supports a qualitative, quantitative or mixed methodology. Research limitations/implications This methodology was applied to one specific area of research. Specific limitations include the availability of articles in subscribed databases and the analytical capabilities of the tools used for text mining and analytics. Originality/value This paper demonstrates the usefulness of the systematic literature review methodology in developing an integrated framework for analysis.

Digital transformation of organizations: what do we know and where to go next?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monika Jedynak ◽  
Wojciech Czakon ◽  
Aneta Kuźniarska ◽  
Karolina Mania
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Business Models ◽  
Grey Literature ◽  
Blind Spot ◽  
Digital Transformation ◽  
Academic Disciplines ◽  
Future Research ◽  
Content Type ◽  
Management Domain

PurposeThe purpose of this paper is to identify the development of the digital transformation literature and to the systematic literature review methodology.Design/methodology/approachThe authors run a systematic literature review, followed by a rigorous thematic analysis of both academic and grey literature dataset, in order to develop a conceptual map of organizations' digital transformation. The authors aggregate the concepts and topics identified across the literature to find that they overwhelmingly tackle digital business models. At the same time, the authors identify a major blind spot resulting from ignoring the organization itself as a unit of analysis.FindingsThe findings show that developing a digital theory of the organization or the theory of digitally transformed organization is a major challenge to management researchers. The analysis exposed numerous research gaps that can be helpful for future research directions.Originality/valueDigital transformation research enjoys an increasingly rapid rise to recognition across many academic disciplines and strongly impacts the management domain. adopt the view that published documents reflect the collective understanding of a phenomenon. This paper contributes to filtering the digital transformation literature, clarify complex relation between digital transformations of organizations and identify the key blind points.

Ambiguity in public sector performance measurement: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiara Oppi ◽  
Cristina Campanale ◽  
Lino Cinquini
Keyword(s):  
Public Sector ◽  
Literature Review ◽  
Performance Measurement ◽  
Systematic Literature Review ◽  
Field Research ◽  
Future Research ◽  
Academic Journal ◽  
Content Type ◽  
The Public ◽  
Study Results

PurposeThis paper presents a systematic literature review aiming at analysing how research has addressed performance measurement systems’ (PMSs) ambiguities in the public sector. This paper embraces the ambiguity perspective that PMSs in public sector coexist with and cope with existing ambiguities.Design/methodology/approachThe authors conducted a literature review in Scopus and ScienceDirect, considering articles published since 1985, and the authors selected articles published in the journals included in the Association of Business Schools' Academic Journal Guide (Chartered ABS, 2018). Of the 1,278 abstracts that matched the study’s search criteria, the authors selected 131 articles for full reading and 37 articles for the final discussion.FindingsThe study's key findings concern the elements of ambiguity in PMSs discussed in the literature. The study’s results suggest that ambiguity is still a relevant problem in performance measurement, as a problem that is impossible to be solved and therefore needs to be better understood by researchers and public managers. The analysis allows us to summarize the antecedents and consequences of ambiguity in the public sector.Research limitations/implicationsThe key findings of the study concern the main sources of ambiguity in PMSs discussed in the literature, their antecedents and their consequences. The study results suggest that ambiguity exists in performance measurement and that is an issue to be handled with various strategies that can be implemented by managers and employees.Practical implicationsManagers and researchers may benefit from this research as it may represent a guideline to understand ambiguities in their organizations or in field research. Researchers may also benefit from a summary list of the key issues that have been analysed in the empirical cases provided by this research. Social implicationsThis research may provide insights to limit ambiguity and thus contribute to improve performance measurement in the public sector.Originality/valueThis research presents a comprehensive review on the topic. It provides insight that suggests what future research should attend to in helping to interpret ambiguity, considering also what should be done to influence ambiguity.

Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu
Keyword(s):  
Health Care ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Health Care Sector ◽  
Future Research ◽  
Research Gaps ◽  
Content Type

PurposeThe proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.Design/methodology/approachFora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.FindingsBD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.Research limitations/implicationsThe proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.Originality/valueThere are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.

A systematic review of e-tail product returns and an agenda for future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamrul Ahsan ◽  
Shams Rahman
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Research Area ◽  
Future Research ◽  
Product Returns ◽  
Content Type ◽  
People Skills ◽  
New Research ◽  
Returns Management ◽  
The Impact

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.

Big data-driven strategic orientation in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
International Marketing ◽  
Strategic Orientation ◽  
Data Driven ◽  
Future Research ◽  
Content Type ◽  
Strategic Orientations ◽  
Marketing Activities

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

Process improvement project failure: a systematic literature review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiju Antony ◽  
Bart A. Lameijer ◽  
Hans P. Borgman ◽  
Kevin Linderman
Keyword(s):  
Literature Review ◽  
Process Improvement ◽  
Systematic Literature Review ◽  
Future Research ◽  
Research Directions ◽  
Improvement Project ◽  
Project Failure ◽  
Content Type ◽  
Future Research Directions ◽  
Research Propositions

Purpose Although scholars have considered the success factors of process improvement (PI) projects, limited research has considered the factors that influence failure. The purpose of this paper is to extend the understanding of PI project failure by systematically reviewing the research on generic project failure, and developing research propositions and future research directions specifically for PI projects. Design/methodology/approach A systematic literature review protocol resulted in a total of 97 research papers that are reviewed for contributions on project failure. Findings An inductive category formation process resulted in three categories of findings. The first category are the causes for project failure, the second category is about relatedness between failure factors and the third category is on failure mitigation strategies. For each category, propositions for future research on PI projects specifically are developed. Additional future research directions proposed lay in better understanding PI project failure as it unfolds (i.e. process studies vs cross-sectional), understanding PI project failure from a theoretical perspective and better understanding of PI project failure antecedents. Originality/value This paper takes a multi-disciplinary and project type approach, synthesizes the existing knowledge and reflects upon the developments in the field of research. Propositions and a framework for future research on PI project failure are presented.

Sign in / Sign up

Export Citation Format

Share Document