Accounting for intangible assets – insights from meta-analysis of R&D research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anne Jeny ◽  
Rucsandra Moldovan
Keyword(s):  
Stock Market ◽  
Value Relevance ◽  
Meta Analysis ◽  
Future Research ◽  
Intangible Asset ◽  
Content Type ◽  
Main Research ◽  
Analysis Techniques ◽  
Research Questions ◽  
Robust Evidence

PurposeThe knowledge- and Internet-based economy demands a reexamination of the accounting treatment for intangibles and a thorough understanding of the empirical evidence on this topic.Design/methodology/approachThe study reviews the literature on research and development (R&D), a specific internally developed intangible asset, using meta-analysis techniques that allow to highlight the areas of consensus and disagreement in quantitative empirical results. The literature the authors review addresses four main research questions on (1) the determinants of the decision to capitalize R&D, (2) stock market-based outcomes of capitalizing R&D, (3) firm-based outcomes related to expensing R&D and (4) stock market-based outcomes of expensing R&D.FindingsThe authors find higher value relevance of capitalized compared with expensed R&D. There is, however, little robust evidence on the determinants of the capitalization decision and the characteristics of capitalizers.Originality/valueThe authors conclude by highlighting future research that can allow accounting academics to contribute to standard setting.

Industry specialization and audit fees: a meta-analytic approach

2015 ◽  
Vol 28 (3) ◽  
pp. 419-435 ◽  
Author(s):  
Cristina de Fuentes ◽  
Eva Sierra
Keyword(s):  
Meta Analysis ◽  
Audit Fees ◽  
Future Research ◽  
Published Data ◽  
Industry Specialization ◽  
Content Type ◽  
Analysis Techniques ◽  
Audit Market ◽  
Regulatory Bodies ◽  
Auditor Specialization

Purpose The purpose of this paper is to provide a comprehensive review of the literature that links auditor’s industry specialization (AIS) and audit fees (AFs) in order to clarify the puzzle of published results and provide overall conclusions that would help in future research. Design/methodology/approach To achieve this goal, the authors applied meta-analysis techniques in order to summarize, quantify and evaluate the published data related to the association between AIS and AF. Findings The meta-results are more robust when the proxy for AIS is the audit firm’s market share above 20 percent or the audit firm is jointly the national and city leader. For US-based studies, results are homogeneous in the post-SOX period. This is likely due to the higher demand for specialized auditors. The authors found positive and homogeneous results in the upper and lower market segment, which led to the conclusion that the bargaining power of the big auditees does not fully counteract the higher auditor specialization costs. Although the authors identified a publication selection bias, a specialization coefficient of around 2.0 percent was estimated. Originality/value The conclusions are relevant for those researchers that would benefit from a structured and systematic review of the published results. The outcomes help to understand the somehow contradictory empirical evidence and to provide solid foundations for future hypothesis developments. This contribution is also relevant for the regulatory bodies, always watchful of audit market behavior and the evolution of audit prices.

A qualitative meta-analysis of trust in supervisor-subordinate relationships

2015 ◽  
Vol 30 (5) ◽  
pp. 507-534 ◽  
Author(s):  
Ann-Marie Nienaber ◽  
Philipp Daniel Romeike ◽  
Rosalind Searle ◽  
Gerhard Schewe
Keyword(s):  
Social Exchange ◽  
Meta Analysis ◽  
Theoretical Perspective ◽  
Empirical Work ◽  
Future Research ◽  
Model Parameters ◽  
Research Approach ◽  
Interpersonal Processes ◽  
Content Type ◽  
Main Research

Purpose – Interpersonal trust is often considered as the “glue” that binds supervisors together with their subordinates, and creates a positive organisational climate. The purpose of this paper is to investigate factors affecting subordinates’ trust to their supervisor, and the consequences of such a trusting relationship. Design/methodology/approach – The authors conducted a qualitative meta-analysis of the trust literature between 1995 and 2011, to identify 73 articles and review 37 theoretical propositions, 139 significant model parameters and 58 further empirical findings. Findings – Four distinct clusters of trust antecedents are found: supervisor attributes; subordinate attributes; interpersonal processes and organisational characteristics. Similarly, the authors identify three categories of trust consequences: subordinates’ work behaviour; subordinates’ attitude towards the supervisor; and organisational level effects. Research limitations/implications – The authors find a bias towards studying supervisor attributes and interpersonal processes, yet a dearth of attention on subordinate attributes and organisational characteristics. Similarly, the conceptual attention on trust between supervisors and subordinates has been limited, with empirical work reporting predominantly significant findings. Social exchange has dominated as the theoretical perspective, and cross-section as the main research approach. In order to advance this important field more heterogeneity is needed, utilising a range of different theoretical schools and employing different methodologies. Originality/value – This seems to be the first qualitative meta-analysis explicitly directed to understanding trust between supervisors and subordinates. The authors contribute to the field of trust by revealing current gaps in the literature and highlighting potential areas of future research.

Corporate sustainability in small and medium-sized enterprises: a literature analysis and road ahead

2019 ◽  
Vol 12 (2) ◽  
pp. 271-300
Author(s):  
Maitreyee Das ◽  
K. Rangarajan ◽  
Gautam Dutta
Keyword(s):  
Emerging Markets ◽  
Business Performance ◽  
Meta Analysis ◽  
Corporate Sustainability ◽  
Future Research ◽  
Content Type ◽  
Proposed Model ◽  
Research Questions ◽  
Sustainability Practices ◽  
Research Propositions

Purpose The purpose of this paper is to do a thorough literature review to assess the current status of corporate sustainability practices, issues and challenges in small and medium-sized enterprises (SMEs) and, based on literature, suggest a model that can improve and strategically manage their sustainability practices in the emerging market context of Asia. Design/methodology/approach The authors did a meta-analysis of the reviewed literature taken from peer-reviewed scholarly journals in the time frame of 1985-2016. Methodology used by the authors is through preferred reporting items for systematic reviews and meta-analysis. Findings Corporate sustainability is a well-practiced area in big organisations. However, literature suggests that in case of SMEs, the situation is different. Social and environmental practices are grossly neglected in SMEs, more specifically in emerging markets. Existing literature mentions that collaborative mode of operation, government policy and facilitation and supporting organisation culture can positively influence SME’s sustainability performance and hence improve their financial performance. Research limitations/implications Most of the papers in corporate sustainability literature are qualitative in nature and there is no empirical evidence of establishing this relationship in SME context. This paper tries to conceptualise the existence of a possible framework relating factors of sustainability and their role in improving business performance of the SMEs. However, the findings are purely literature-based and piloting of the questionnaire is also done on 20 SMEs in a specific geography. This is a very small and also a biased sample. Future research studies based on this paper are expected to verify the proposed relationship with larger data set catering to different industry clusters and countries. Practical implications The proposed model is only directional in nature. With the content analysis, the authors have tried to answer the research questions relating to factors of sustainability and its impact on business performance. To address the research questions in a more generalised way, an empirical research needs to be conducted to establish the research propositions. The proposed model needs to be validated and optimised with further research and data analysis. Once such a model is established, this can be proved beneficial for providing guidance to SMEs to enhance the sustainability of their business operations. Social implications The SME sector has made a significant contribution to the economic development in countries, and this sector has huge potential for growth, and their geographic spread and penetration is much higher than large organisations. Sustainable growth of this industry sector can reasonably be expected to lead to stable and sustainable development of the nation. Moreover, environmental and social best practices adopted by SMEs will also have a positive influence on society and environment in the long run. Originality/value This paper had done a geography wise analysis of sustainable practices in SMEs, and based on the recommendations and suggestions of different analyses, the authors developed few research propositions and also presented a conceptual model. Finally, to address the gap, it mentions some future research possibilities to test and validate the proposed model in the context of SMEs in emerging markets of Asia.

Exploring climate finance for tourism adaptation development: an overview

2016 ◽  
Vol 8 (5) ◽  
pp. 593-605 ◽  
Author(s):  
Daniele Vieira do Nascimento
Keyword(s):  
Climate Change ◽  
Literature Review ◽  
English Language ◽  
Small Island ◽  
Future Research ◽  
Climate Finance ◽  
Content Type ◽  
Main Research ◽  
Research Fields ◽  
New Research

Purpose The purpose of this paper is to provide an overview of the links between climate finance and tourism adaptation development. Besides increasing adaptation and mitigation efforts to limit greenhouse gas emissions, climate change remains a major challenge in the twenty-first century and beyond especially for tourism which is highly climate sensitive. Hence, it is necessary for tourism to adapt to survive. The aim of the study is to provide a systematic overview of the topic to offer a foundation for better understanding different ways of integrating climate finance initiatives with tourism. Design/methodology/approach The research focused on the top-ranked, peer reviewed journals of each of the two selected research fields. To address this topic, an in-depth systematic literature review in the fields of climate change finance and tourism adaptation development was conducted. Furthermore, because it is a relatively new research topic, conference proceedings were also explored. To guarantee wide coverage of the literature, a query of the following scholarly databases was considered: Elsevier, ScienceDirect and Web of Science. Findings Based on the analyses of the literature available on the topic, the paper highlights the main research trends and conclusions. It is argued that there is imbalance of knowledge on climate change finance as it relates to tourism. To date, there have been relatively few published articles on this topic in the context of tourism. Based on the findings, promising areas for future research were identified, and in particular for small island communities and recommendations for future research are outlined. Research limitations/implications The paper is limited by the scope of the literature review accessed by the researcher. The results of this review may vary according to the databases used. Originality/value Currently, there is no extensive review of articles on climate finance and tourism adaptation. This paper aims at reviewing climate finance studies published in English language to explore knowledge gaps in tourism adaptation. Sets of themes being advanced are also highlighted. Recommendations for future research are provided.

Does the good lives model work? A systematic review of the recidivism evidence

2021 ◽  
Vol 23 (3) ◽  
pp. 285-300
Author(s):  
Jenna Zeccola ◽  
Sally Fiona Kelty ◽  
Douglas Boer
Keyword(s):  
Meta Analysis ◽  
Future Research ◽  
Correct Treatment ◽  
Recidivism Rates ◽  
Good Lives Model ◽  
Content Type ◽  
Reducing Recidivism ◽  
Prison Community ◽  
Treatment Dosage ◽  
Good Lives

Purpose The purpose of this paper is to evaluate the efficacy of good lives model (GLM) interventions on the recidivism outcomes of convicted offenders. Design/methodology/approach The review adhered to preferred reporting items for systematic reviews and meta-analysis and Cochrane guidelines. Digital databases were searched and articles reporting outcomes of the GLM amongst convicted offenders and outcomes including recidivism data and pre-post measures of dynamic risk were included in a narrative synthesis. Findings Of 1,791 articles screened, only six studies met the criteria for review. Key findings were: in half the reviewed studies, GLM did not increase recidivism risk; in half the reviewed studies, only when the correct treatment dosage was applied that some evidence of risk reduction was found; there was limited support for GLM increasing or sustaining motivation for resistance from reoffending. Research for the review was limited and support for the GLM in reducing recidivism rates was not established. Practical implications In this 2021 review, the authors examined the efficacy of the GLM in reducing recidivism. This addresses a gap in the literature. The authors found that there is insufficient evidence to suggest that the GLM can reduce recidivism. This has implications for practitioners who wish to deliver evidence-based practices in prison/community settings. There is currently not enough peer-reviewed evidence to unequivocally confirm the efficacy of the GLM. The authors recommended additional quality programme outcome research be carried out. Originality/value To the best of the authors’ knowledge, this study is the first to assess quantitative and qualitative studies on the efficacy of the GLM and provides foundations for future research.

Reconfigurable manufacturing system: a systematic review, meta-analysis and future research directions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Pansare ◽  
Gunjan Yadav ◽  
Madhukar R. Nagare
Keyword(s):  
Manufacturing System ◽  
Meta Analysis ◽  
Future Research ◽  
Future Trends ◽  
Reconfigurable Manufacturing ◽  
Research Papers ◽  
Reconfigurable Manufacturing System ◽  
Content Type ◽  
Related Research ◽  
And Performance

Purpose Uncertainties in manufacturing and changing customer demands force manufacturing industries to adopt new strategies, such as the reconfigurable manufacturing system (RMS). To improve the implementation and performance of RMS, it is necessary to review the available literature and identify future trends in this field. This paper aims to analyze existing literature and to see trends in RMS-related research. Design/methodology/approach The systematic literature review and analysis of RMS-related research papers from 1999 to 2020 is carried out in this literature. The selected studies are analyzed based on the year of publication, journals, publishers, active authors, research design, countries, enablers, barriers, performance evaluation parameters and universities. Findings After the analysis of selected RMS-related research papers, the top countries, universities, journals, publishers and authors are identified in this domain. Research themes and trends in research are identified in this study. Besides, it has been noted that there is a need for further research in this domain and for the creation of a generalized framework that can guide researchers and practitioners to increase RMS adoption. Practical implications Research insights, guidance and observations from this paper are provided to RMS-related researchers and practitioners. Important research gaps are identified in this study, which can provide direction for future research and trends in RMS research. Originality/value The study presented focuses mainly on the method of collecting, organizing, capturing, interpreting and analyzing data to provide more insight into RMS to identify future trends in research.

Artificial intelligence in financial services: a qualitative research to discover robo-advisory services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ankita Bhatia ◽  
Arti Chandani ◽  
Rizwana Atiq ◽  
Mita Mehta ◽  
Rajiv Divekar
Keyword(s):  
Artificial Intelligence ◽  
Stock Market ◽  
Financial Services ◽  
Future Research ◽  
Individual Investors ◽  
Content Type ◽  
Advisory Services ◽  
Wealth Management ◽  
Management Scenario ◽  
Indian Stock Market

Purpose The purpose of this study is to gauge the awareness and perception of Indian individual investors about a new fintech innovation known as robo-advisors in the wealth management scenario. Robo-advisors are comprehensive automated online advisory platforms that help investors in managing wealth by recommending portfolio allocations, which are based on certain algorithms. Design/methodology/approach This is a phenomenological qualitative study that used five focussed group discussions to gather the stipulated information. Purposive sampling was used and the sample comprised investors who actively invest in the Indian stock market. A semi-structured questionnaire and homogeneous discussions were used for this study. Discussion time for all the groups was 203 min. One of the authors moderated the discussions and translated the audio recordings verbatim. Subsequently, content analysis was carried out by using the NVIVO 12 software (QSR International) to derive different themes. Findings Factors such as cost-effectiveness, trust, data security, behavioural biases and sentiments of the investors were observed as crucial points which significantly impacted the perception of the investors. Furthermore, several suggestions on different ways to enhance the awareness levels of investors were brought up by the participants during the discussions. It was observed that some investors perceive robo-advisors as only an alternative for fund/wealth managers/brokers for quantitative analysis. Also, they strongly believe that human intervention is necessary to gauge the emotions of the investors. Hence, at present, robo-advisors for the Indian stock market, act only as a supplementary service rather than a substitute for financial advisors. Research limitations/implications Due to the explorative nature of the study and limited participants, the findings of the study cannot be generalised to the overall population. Future research is imperative to study the dynamic nature of artificial intelligence (AI) theories and investigate whether they are able to capture the sentiments of individual investors and human sentiments impacting the market. Practical implications This study gives an insight into the awareness, perception and opinion of the investors about robo-advisory services. From a managerial perspective, the findings suggest that additional attention needs to be devoted to the adoption and inculcation of AI and machine learning theories while building algorithms or logic to come up with effective models. Many investors expressed discontent with the current design of risk profiles of the investors. This helps to provide feedback for developers and designers of robo-advisors to include advanced and detailed programming to be able to do risk profiling in a more comprehensive and precise manner. Social implications In the future, robo-advisors will change the wealth management scenario. It is well-established that data is the new oil for all businesses in the present times. Technologies such as robo-advisor, need to evolve further in terms of predicting unstructured data, improvising qualitative analysis techniques to include the ability to gauge emotions of investors and markets in real-time. Additionally, the behavioural biases of both the programmers and the investors need to be taken care of simultaneously while designing these automated decision support systems. Originality/value This study fulfils an identified gap in the literature regarding the investors’ perception of new fintech innovation, that is, robo-advisors. It also clarifies the confusion about the awareness level of robo-advisors amongst Indian individual investors by examining their attitudes and by suggesting innovations for future research. To the best of the authors’ knowledge, this study is the first to investigate the awareness, perception and attitudes of individual investors towards robo-advisors.

scholarly journals Developing a conceptual model of influences around integrated reporting, new insights and directions for future research

2017 ◽  
Vol 25 (4) ◽  
pp. 450-460 ◽  
Author(s):  
Charl de Villiers ◽  
Pei-Chi Kelly Hsiao ◽  
Warren Maroun
Keyword(s):  
Conceptual Model ◽  
Research Agenda ◽  
Design Methodology ◽  
Future Research ◽  
Special Issue ◽  
Integrated Reporting ◽  
Theoretical Frameworks ◽  
Content Type ◽  
Prior Literature ◽  
Research Questions

Purpose This paper aims to develop a conceptual model for examining the development of integrated reporting, relate the articles in this Meditari Accountancy Research special issue on integrated reporting to the model and identify areas for future research. Design/methodology/approach The paper uses a narrative/discursive style to summarise key findings from the articles in the special issue and develop a normative research agenda. Findings The findings of the prior literature, as well as the articles in this special issue, support the conceptual model developed in this paper. This new conceptual model can be used in multiple ways. Originality/value The special issue draws on some of the latest developments in integrated reporting from multiple jurisdictions. Different theoretical frameworks and methodologies, coupled with primary evidence on integrated reporting, construct a pluralistic assessment of integrated reporting, which can be used as a basis for future research. The new conceptual model developed in this paper can be used as an organising framework; a way of understanding and thinking about the various influences; a way of identifying additional factors to control for in a study; and/or a way of identifying new, interesting and underexplored research questions.

Application of semantic technologies in bibliographic databases

2019 ◽  
Vol 38 (1) ◽  
pp. 113-137
Author(s):  
Tsvetanka Georgieva-Trifonova ◽  
Kaloyan Zdravkov ◽  
Donika Valcheva
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Keyword Search ◽  
Bibliographic Databases ◽  
Future Research ◽  
Semantic Technologies ◽  
Scientific Review ◽  
Content Type ◽  
Research Questions

Purpose The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing answers to a set of research questions resulting from a systematic literature review. Design/methodology/approach The present study consists of conducting a systematic literature review of research works related to the application of semantic technologies in bibliographic databases. A manual keyword search is performed in known academic databases. As a result, a total of 78 literature sources are identified as related to the topic and included in the review. From the selected literature sources, information is extracted, which is then summarized and analyzed according to previously defined research questions and finally reported. Besides, a framework is defined to classify literature sources found and collected as a result of the study. The main criteria, according to which the classification is performed, are the used semantic technology and the research problem for which semantic technologies are applied in bibliographic databases. The classification of the publications is verified by each author independently of others. Findings The conducted systematic scientific review establishes that the evolution of semantic technologies sets a period of increased interest in the researchers, as a result of which the advantages of using them for bibliographic descriptions are examined and practically confirmed. After defining semantic models for bibliographic descriptions and approaches to transform existing bibliographic data into their correspondence, the research interest is directed at their comparison, collation; enrichment to facilitate search and retrieval of useful information. Possible perspectives for future research are outlined, which mainly relate to the complete use of the created data sets and their transformation into knowledge repositories. Originality/value Despite the increasing importance of the semantic technologies in various areas, including the bibliographic databases, there is a lack of comprehensive literature review and classification of literature sources relevant to this topic. The detailed study proposed in the present paper supports introducing with the existing experience in the application of semantic technologies in bibliographic databases, as well as facilitates the discovery of trends and guidelines for future research.

Research on capital structure determinants: a review and future directions

2017 ◽  
Vol 13 (2) ◽  
pp. 106-132 ◽  
Author(s):  
Satish Kumar ◽  
Sisira Colombage ◽  
Purnima Rao
Keyword(s):  
Capital Structure ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Secondary Data ◽  
Theoretical Models ◽  
Order Theory ◽  
Organizational Level ◽  
Future Research ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to study the status of studies on capital structure determinants in the past 40 years. This paper highlights the major gaps in the literature on determinants of capital structure and also aims to raise specific questions for future research. Design/methodology/approach The prominence of research is assessed by studying the year of publication and region, level of economic development, firm size, data collection methods, data analysis techniques and theoretical models of capital structure from the selected papers. The review is based on 167 papers published from 1972 to 2013 in various peer-reviewed journals. The relationship of determinants of capital structure is analyzed with the help of meta-analysis. Findings Major findings show an increase of interest in research on determinants of capital structure of the firms located in emerging markets. However, it is observed that these regions are still under-examined which provides more scope for research both empirical and survey-based studies. Majority of research studies are conducted on large-sized firms by using secondary data and regression-based models for the analysis, whereas studies on small-sized firms are very meager. As majority of the research papers are written only at the organizational level, the impact of leverage on various industries is yet to be examined. The review highlights the major determinants of capital structure and their relationship with leverage. It also reveals the dominance of pecking order theory in explaining capital structure of firms theoretically as well as statistically. Originality/value The paper covers a considerable period of time (1972-2013). Among very few review papers on capital structure research, to the best of authors’ knowledge; this is the first review to identify what is missing in the literature on the determinants of capital structure while offering recommendations for future studies. It also synthesize the findings of empirical studies on determinants of capital structure statistically.

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