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A finite difference scheme for convection term discretization, called BSOU (stands for Bounded Second Order Upwind), is developed and its performance is assessed against exact or benchmark solutions in linear and non‐linear cases. It employs a flux blending technique between first order upwind and second order upwind schemes only in those regions of the flow field where spurious oscillations are likely to occur. The blending factors are calculated with the aid of the convection boundedness criterion. In all cases the scheme performed very well, minimizing the numerical diffusion errors. The scheme is transportive, conservative, bounded, stable and accurate enough so as to be suitable for inclusion into a general purpose solution algorithm.

This study conducts a systematic review using 452 academic and industry articles from an initial set of 60,899 records obtained by 3 databases from 2012 to 2020. The authors compare and contrast blockchains with existing legacy systems. The authors identify existing regulation, accounting standards, guidelines and potential amendments in under-explored areas such as taxation, accounting treatment of crypto-assets/liabilities and detailed auditing procedures. The study aims to highlight the trends, differences and gaps between academic and industry literature. The authors provide a behavioral, social, cultural, organizational, regulatory, ethical, accountability and managerial perspectives of blockchain adoption in accounting. Finally, the study develops two adoption frameworks.

The authors' study follows (Moher et al., 2009) and (Briner and Denyer, 2012) methodology to conduct the systematic review and the steps are mentioned below. The authors construct a final sample of 452 from a preliminary search of three multi-disciplinary databases from 2012 to 2020. First, the authors motivate the review and formulate the research questions. Second, the authors aggregate relevant literature from both industry and academia and implement quality assessments. Third, the authors analyze the literature and construct the final sample of articles. Fourth, the authors conducted textual analysis, keyword frequencies and identify gaps, trends and similarities between academic and industry literature and develop the authors' frameworks

The authors identify 3 (ABDC, B and A* ranked) journals as publishing top article numbers with the highest article count for 2017 with 96 articles in academia and 2019 for the industry with 21 articles. Second-highest publications for academia occur in 2018 with 77 followed by, whereas in the industry, publications occur in the year 2016 with 16 articles. Two co-authors appear most popular with 103 articles. Word clouds, a mind map and article theme counts are used to identify nine key research clusters: data management, financial applications, sustainability, accounting and auditing, business and industrial, education, governance, privacy/security and disruptive technology.

Systematic reviews can have selection biases mainly due to search and selection criteria distortions when constructing the final sample of articles. The authors address selection bias by refining our search keyword combinations by using different permutations and using keywords from articles already collected. The authors employ three databases and review the reference list of articles collected to add more articles that may have been missed into our sample. In addition, to avoid inconsistent coding of domains/themes and interpretations, the authors carefully review our domain identifications and all our analysis twice independently using two research assistants to obtain the same conclusions.

The authors' unique contributions include reviewing additional papers, differentiating between industry, academic articles, common trends and gaps in much scattered prior literature. The authors identify existing accounting standards, guidelines, limitations and possible amendments required in future for blockchain adoption in accounting in taxation, accounting treatment of crypto-assets/liabilities and detailed audit procedures. Blockchains are compared with legacy accounting technologies and two frameworks for adoption developed. The authors' results could impact the understanding of existing regulation, accounting standards, future amendments, areas requiring clarity and future collaborative research between academia and industry across multi-disciplines. Practical implications to academics, professional bodies, regulators and industry practitioners exist.

The authors' study identifies significant implications on organizations, environment, culture and society in general. The authors identify that social engagement projects may be easily initiated and implemented with decentralized accounting information systems. Transparency and efficiency would change organization culture, ways accountants and even employees interact with each other and community. Anonymity in blockchains can be used for criminal activities. Coding of negative social dynamics to smart contracts may persist. Transparency of personally identifiable information may place individuals at risk. Regulation and standards would need to identify equity, ethics in blockchains which notwithstanding energy consumption, and could enable environmental protection increasing societal sustainability.

To the authors' knowledge, this is the first study that compares academic and industry literature of 452 articles to identify gaps and similarities from 2012 to 2020 using three multi-disciplinary databases. The authors' study is the first study to in detail existing accounting standards, unclear areas, future amendments for International Financial Reporting Standards (IFRS) standards on taxation, financial reporting and all aspects of auditing procedures. The authors further categorize prior literature into these key areas and develop two frameworks (DAERPS and DAIS) that are linked to our review results and prior literature. The authors identify the impact of blockchain adoption on key stakeholders, regulation, society, culture, organization, accountability and ethics.

This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.

To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.

The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.

Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.

This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.

Seeks to investigate the extent to which CEOs shape the process of making strategic decisions (SDs). Despite the significant research interest in this topic, knowledge is still incomplete.

Using evidence from a sample of 107 SDs, studied in Greece, the present paper explores the influence of CEO personality and demographic characteristics on the process of making SDs. A number of environmental and internal organisational variables are used as control variables measuring the broader context.

The results suggest that the broader context is on average more influential than the CEO. However, the CEO's demographic characteristics appear to influence several process characteristics (i.e. rationality, hierarchical decentralisation and politicisation). CEO personality characteristics do not appear to have any significant influence on the process.

This paper focuses on only a few personality and demographic characteristics. The use of a different set of CEO characteristics (e.g. functional specialisation, etc.) as well as the characteristics of the top management team is more than welcome. More empirical studies are needed to replicate and extend this study by examining variables not included here.

Conventional wisdom as well as recent empirical evidence holds that the management style of Greek companies tends to be rather centralised, and dominated by one powerful individual. The results contradict this belief. It seems that in order to survive and achieve long‐term viability, Greek companies were forced to introduce changes in their management style, including a more team‐based style of decision making. In such a context, personality characteristics of the CEO or any other single influential player may not decisively affect the SD process.

Few studies have examined empirically the influence of such a combination of factors on strategic decision processes.

The purpose of this paper is to enhance the knowledge of the antecedents of political behaviour. Whereas political behaviour in strategic decision-making (SDM) has received sustained interest in the literature, empirical examination of its antecedents has been meagre.

The authors conducted a constructive replication to examine the impact of three layers of context, namely, decision, firm and environment, on political behaviour. In Study 1, Greece, we gathered data on 143 strategic decisions, while in Study 2, Egypt, we collected data on 169 strategic decisions.

The evidence suggests that both decision-specific and firm factors act as antecedents to political behaviour, while environmental factors do not.

The findings support enhanced practitioner education regarding political behaviour and provide practitioners with a place from which to start by identifying the factors which might influence the occurrence of political behaviour in SDM.

The paper fills important gaps in the existing research on the influence of context on political behaviour and delineates interesting areas for further research.

Purpose – This chapter seeks to examine the relationship between three strategic decision-making processes (SDMPs) and international performance of small- and medium-sized enterprises (SMEs).

Methodology/approach – Drawing on a sample of 528 SMEs based in four countries (United States, United Kingdom, Greece and Cyprus), the chapter explores the relationship between formalisation, (hierarchical) decentralisation, lateral communication and international performance. The chapter also investigates the moderating effects of dynamism on the aforementioned relationship.

Findings – Results indicate that formalisation and decentralisation have a positive effect on international performance; whereas lateral communication has no effect. Some evidence exists to support the moderating role of dynamism on the process–international performance link in that decentralisation produces positive effects in stable settings whereas lateral communication produces positive effects in dynamic ones.

Research limitations/implications – This chapter focuses on three SDMP dimensions and one characteristic of the external environment. Future studies are also needed to replicate the findings reported here in other national settings. Also, future studies should consider additional variables.

Practical implications – International performance of the SME can be influenced by how managers are involved in their SDMPs.

Social implications – Given the high role that SMEs have in modern economies for employment and growth, we identify SDMPs that are conducive to their international performance.

Originality/value – This study lies at the intersection of two streams of two complementary streams of research: strategic decision-making and international entrepreneurship. It is one of the first attempts to involve the SDMP stream of research in internationalisation.

The main aim of this chapter is to review the use of accounting-based measures of merger and acquisition (M&A) performance. To do so, we conducted a keyword search in 28 leading management journals and one edited book (i.e., Advances in Mergers & Acquisitions). To complement our review, we draw on very recent literature reviews of M&As (e.g., Haleblian, J., Devers, C. E., McNamara, G., Carpenter, M. A., & Davison, R. B. (2009). Taking stock of what we know about mergers and acquisitions: A review and research agenda. Journal of Management, 35(3), 469–502; Kolev, Haleblian, & McNamara, 2012; Meglio, 2009). Results indicate that accounting-based measures of performance have been used in 36 studies. Also, in these studies, there exists much heterogeneity with respect to the operationalization of M&A performance, the time lag, and the level of analysis. Next, the chapter proceeds with the discussion of the advantages and disadvantages of accounting measures and the proposition of four substantive priorities for future research in the area.

This paper presents the results of an empirical research concerning the influence of the Chief Executive Officer’s (CEO) personality on the export behaviour and performance of 81 manufacturing firms in a small European country. Regression analysis was applied in order to determine which of the personality characteristics studied could explain the export performance of the firms. The results showed that there are several personality traits of the decision maker that can be related to export involvement, supporting the “upper echelons model” that contends that firm performance is a reflection of its top managers. Moreover, the effect of the CEO’s personality on the export performance was found to be much stronger in small enterprises than in larger ones.

Strategy process research has made considerable progress over the last 20 years and has produced a vast body of literature. This valuable contribution, however, has not adequately examined the relationships between the characteristics of the strategy process. This study aims to fill this gap by providing evidence on the relationships between the characteristics of the process of making strategic decisions (SDs) in a new setting.

The study uses quantitative and qualitative methods.

Based on quantitative and qualitative evidence from a sample of Egyptian companies, it was found that decision makers could be simultaneously rational, political and/or intuitive.

The study recommends further research to develop new constructs of the SD making process the way in which the multi‐dimensional nature of this organic process can be considered.

The SD making process can be multi‐dimensional

The paper examines the relationships between the characteristics of the strategy process. It provides evidence on the relationships between the characteristics of the process of making strategic decisions (SDs) in a new setting.

This paper aims to develop and test an integrative model of the relationship between affective conflict and firm performance considering the control effects of four contextual variables, namely, decision motive, firm size, type of ownership and environmental hostility.

This paper focuses on empirical data gathered from the Egyptian manufacturing sector. The measures of this study enjoy a significant degree of reliability and validity.

The results suggest that affective conflict is a significant predictor of firm performance.

The most serious limitation of the study is that data on the study variables are collected from one respondent in each firm. Another important limitation is that different kinds of conflict are not examined in order to explain the different roles which they can play in strategic decision making (SDM).

The paper contributes to knowledge in the area of SDM by developing a richer model of affective conflict in a region, i.e. Africa and the Arab world, where little research can be found.