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This paper aims to augment existing literature by examining how specific macroeconomic conditions (economic policy uncertainty and inflation expectations) influence micro-level (instead of macro-level) behavioral dynamics exhibited by the average consumer.

This study conducted empirical analysis using structural vector autoregressive estimation technique.

The average consumer tends to exhibit significantly varied micro-level expenditure behavioral patterns not readily observed at the macro- or aggregate-level expenditures. For instance, this study finds that in the short run, inflation expectations tend to have a significant positive impact on both non-durable goods and service expenditures; the same condition, however, tends to have a negative impact on durable goods. Additionally, this study also finds that economic policy uncertainty, unlike inflation expectations, tends to constrain consumption expenditures at all micro levels with very significant variations in decline in expenditures made.

Unlike legion of empirical work based on macro-level analysis, this study adopts a micro-level analysis and also engages two macroeconomic conditions (inflation expectations and economic policy uncertainty) not already examined in existing studies.

This research aims to examines the impact of micro-level corporate social responsibility (CSR) practices on employee engagement within the public accounting firm setting.

This research uses a quantitative approach with a survey instrument as the data collection tool. A total of 269 complete responses were collected from employees working in the public accounting firms. Micro-level CSR practices were analysed with a hierarchical component model (HCM) in partial least square structural equation modelling (PLS-SEM) to examine the influence of such practices on employee engagement. A predictive performance metric was applied to assess the out-of-sample prediction.

This study uncovers a positive and significant relationship between micro-level CSR practices and employee engagement. Furthermore, the PLSpredict results indicate that the current model possesses high predictive power with all indicators in the PLS-SEM analysis demonstrating lower root mean squared error (RMSE) values compared to the naïve linear regression model benchmark.

While the methods applied in this analysis are at the frontier of CSR research, the present study has not explored the heterogeneity amongst groups of respondents and size of accounting firms. Sampling weight adjustment for the purposes of representativeness was not used in the current research. These could be the subject of future work in this area.

These research findings shed light on the positive manifestation effect of micro-level CSR practices at firm level as well as individual level. Through micro-level CSR practices, firms can reap the benefits of enhanced employee engagement, which leads to productive workforce while also facilitating increased employees’ intrinsic job satisfaction.

Micro-level CSR practices address the needs of the millennium workforce, whereby employees are no longer solely focussed on pay checks as their compensation. Employees are seeking out employers whose CSR practices appeal to their social conscience. Micro-level CSR practices meet the needs of the contemporary workforce yet enable companies to attract and retain skilled employees.

The originality of this research is attributed to the vigorous statistical analysis by the use of HCMs and PLSpredict in PLS-SEM context for the assessment of predictive performance. Also, micro-level CSR practices are conceptualised in HCM for parsimonious purpose.

The purpose of this study is to assess how the information disclosed in prospectuses impacted the initial public offering (IPO) underpricing at a time of high government interference amid the ongoing pandemic.

The design of this study has several tracks, namely, a macro-level track, which is represented by the government measures to halt the pandemic; a micro-level track, which is followed by textual analysis of IPO prospectuses; and, finally, a machine learning track, in which the authors use state-of-the-art tools to improve their linear regression model.

The authors found that strict government anti-COVID-19 measures indeed contribute to the reduction of the IPO underpricing. Interestingly, the mere fact of such measures taking place is enough to take effect on financial markets, regardless of the resulting efficiency of such measures. At the micro-level, the authors show that prospectus sentiments and their significance differ across prospectus sections. Using linear regression and machine learning models, the authors find robust evidence that such sections as “Risk factors”, “Prospectus summary”, “Financial Information” and “Business” play a crucial role in explaining the underpricing. Their effect is different, namely, it turns out that the more negative “Risk factors” and “Financial Information” sentiment, the higher the resulting underpricing. Conversely, the more positive “Prospectus summary” and “Business” sentiments appear, the lower the resulting underpricing is. In addition, we used machine learning methods. Consisting of more than 580 IPO prospectuses, the study sample required modern and powerful machine learning tools like Isolation Forest for pre-processing or Random Forest Regressor and Light Gradient Boosting Model for modelling purposes, which enabled the authors to gain better results compared to the classic linear regression model.

At the micro level, this study is not confined to 2020, but also embraces 2021, the year of the record number of IPOs held. Moreover, in this paper, these were prospectuses that served as a source of management sentiment. In addition, the authors used a tailor-made government stringency index. At the micro level, basing the study on behavioural finance hypotheses, the authors conducted both separate and holistic analysis of prospectuses to assess investors’ reaction to different aspects of IPO companies as well as to the characteristics of the IPOs themselves. Lastly, the authors introduced a few innovations to the research methodology. Textual analysis was conducted on a corpus of prospectuses included in a study sample. However, the authors did not use pre-trained dictionaries, but instead opted for FLAIR, a modern open-source framework for natural language processing.

The purpose of this research is to determine the nature of the relationship between sporting, financial performance and a stock price of football clubs by adopting the quarterly financial statements of the European clubs that represent the research sample: Juventus, Borussia Dortmund and Olympique Lyonnais, which helps clubs’ managers in evaluating the sporting and financial performance effect on the share price at the quarterly level.

The research is performed using the panel data technique, for Juventus, Borussia Dortmund and Olympique Lyonnais (2007–2016). The sporting performance is represented by the quarterly rate of the number of goals scored by the club to the number of goals scored against it; the quarterly rate of the number of wins to the total number of matches played by the club in local and international competitions. At the same time, financial performance is represented by the quarterly rate of current ratio, the quarterly rate of the leverage ratio, and the quarterly rate of earnings per share (EPS).

The analysis of the results was distributed at two levels: macro and micro. The analysis at the macro-level dealt with the correlation and influence between the sports performance indicators and the financial performance indicators of the three clubs combined on the share prices of those clubs. The micro-level performance is analyzed separately from the macro analysis. The results indicated that there was an effect on macro analysis. As for the microanalysis, the results showed no effect of the sporting performance of the three clubs on their share price.

The main implications of this research reveal the weakness of the correlation between the clubs' share price in the financial market, possibly due to the quarterly rate of the data. But there is a slight change for Juventus. There is a moderate correlation between the quarterly sporting performance indicators of this club and the quarterly average of its share price in the market.

The main implications of this research reveal the weakness of the correlation between the clubs' share price in the financial market, possibly due to the quarterly rate of the data. But there is a slight change for Juventus. There is a moderate correlation between the quarterly sporting performance indicators of this club and the quarterly average of its share price in the market.

The social implications of the current research are clear by dealing with the relationship between the sports and Financial performance of football clubs and its relationship to the price of its shares in the financial market. The success of football clubs in achieving sporting victory attracts more fans. This leads to an increase in the club's profits and consequently to an increase in the price of its shares in the financial markets. Therefore, the societal benefit will be achieved by increasing the enjoyment of the audience and increasing the revenues of the club and the city to which it belongs.

The originality of this research is represented in its use of quarterly data to clarify the relationship between the sporting and financial performance of a sample of European football clubs with the price of its shares in the financial markets. Therefore, this research differs from previous research that used only daily and annual data for clubs to clarify the relationship between their sporting and financial performance.

The aim of the paper is to understand and define how the polyphony of management is constructed in interaction and to describe this through concrete management meeting cases. Polyphony refers to the diverse voices of various organization members, and how these voices are present, disclosed and utilized in management.

The study is based on the social constructionist and discursive perspectives of management, which question the traditional, individualistic approaches of management. The issue was examined through a qualitative case study by analysing the micro‐level management discourse in three healthcare organizations.

Discursive practices that enhance or inhibit polyphony are often unnoticed and unconscious. Key moments of management discourse are an example of unconscious mundane practices through which members of organizations construct the reality of management.

The empirical results are locally contextual. In the future, research will be able to apply the approach to diverse contexts as well as link micro‐level discourses to the construction of broader health and social management discourses.

The paper increases the understanding of how to enhance participation and staff contribution, and how to utilize the knowledge of all members of the organization.

Both managers and other staff members are fully involved in the social construction of management. Micro‐level discourse should be paid attention to in management work as well as in the education of managers and staff.

The study increases the understanding of micro‐level issues of management and challenges the conventional, taken‐for‐granted assumptions behind organization and management theories.

The purpose of this paper is to operationalize context in diversity management research.

A case analysis provides an example of the influences of context at macro, meso and micro levels. Country context (macro) and professional and organization contexts (meso) are analysed in relation to the micro individual experiences of gender and indigeneity at work.

Tensions and inconsistencies at macro and meso levels impact on diversity management at a micro level. The authors demonstrate how power and context are intertwined in the biopolitical positioning of subjects in terms of gender and indigeneity. The contested legacy of indigenous-colonial relations and societal gender dynamics are “played out” in a case from the accounting profession.

Within critical diversity studies context and power are linked in a reciprocal relationship; analysis of both is mandatory to strengthen theory and practice. The multi-level analytical framework provides a useful tool to understand advances and lack of progress for diversity groups within specific organizations.

While many diversity scholars agree that the analysis of context is important, hitherto its application has been vague. The authors conduct a multi-level analysis of context, connecting the power dynamics between the levels. The authors draw out implications within one profession in a specific country socio-politics. Multi-level analyses of context and power have the potential to enhance the theory and practice of diversity management.

This study aims to identify the pandemic’s impact on house rents by applying a rental gradient analysis to compare the pre-and post-COVID-19 periods in Auckland. The micro-level household census data from the Integrated Data Infrastructure of Statistics New Zealand is also applied to scrutinise this WFH trend as a robustness check.

Since the outbreak of COVID-19, work-from-home (WFH) and e-commerce have become much more common in many cities. Many news reports have contended that households are leaving city centres and moving into bigger and better houses in the suburbs or rural areas. This emerging trend has been redefining the traditional theory of residential location choices. Proximity to central business district (CBD) is no longer the most critical consideration in choosing one’s residence. WFH and e-commerce flatten the traditional bid rent curve from the city centre.

The authors examined micro-level housing rental listings in 242 suburbs of the Auckland Region from January 2013 to December 2021 (108 months) and found that the hedonic price gradient models suggest that there has been a trend of rental gradient flattening and that its extent was almost doubled in 2021. Rents are also found to be increasing more in lower-density suburbs.

The results imply that the pandemic has accelerated the trend of WFH and e-commerce. The authors further discuss whether the trend will be a transient phenomenon or a long-term shift.

Suppose an organisation is concerned about productivity and performance issues due to a companywide ability to WFH. In that case, some standard key performance indicators for management and employees could be implemented. Forward-thinking cities need to focus on attracting skilful workers by making WFH a possible solution, not by insisting on the primacy of antiquated nine-to-five office cultures.

WFH has traditionally encountered resistance, but more and more companies are adopting WFH policies in this post-COVID era. The early rental gradient and the micro-level household data analysis all confirm that the WFH trend is emerging and will likely be a long-term shift. Instead of resisting the change, organisations should improve their remote work policies and capabilities for this WFH trend.

So far, empirical studies of post-COVID urban restructuring have been limited. This study aims to empirically test such an urban metamorphosis by identifying the spatial and temporal impacts of COVID on house rental gradients in the Auckland Region, New Zealand. The authors apply rental gradient analysis to test this urban restructuring hypothesis because the method considers the spatial-temporal differences, i.e. a difference-in-differences between pre-and post-pandemic period against the distance measured from the city centre. The method can control for the spatial difference and the endogeneity involved.

This article conducts a thorough review and synthesis of the empirical research on the antecedents of stock price crash risk to ascertain the macro-, meso- and micro-level determinants contributing to stock price crashes.

The authors systematically reviewed 85 empirical papers published in ABS-ranked journals to assess the macro-, meso- and micro-level determinants causing stock price crashes.

The findings indicate that macroeconomic factors such as corporate governance, political and legal factors, socioeconomic indicators and religious beliefs have an effect on firm-level corporate behavior contributing to stock price crash risk. At a meso-level customer concentration, industry-level characteristics, media coverage, structural features of ownership and behavioral factors have a substantial effect on stock price crash risk. Finally, micro-level variables influencing stock market crash risk include CEO qualities and compensation, business policies, earnings management, financial transparency, managerial characteristics and firm-specific variables.

Based on our analysis we identify priority areas for future research.

This is a seminal work using a multilevel framework to categorize the determinants of stock price crashes into micro-, meso- and macro-level factors.

The article presents the construction of a conceptual framework, which is rooted in mathematics education and in dialogic analysis. It aims to analyse how dialogic interactions contribute to constructing teachers' mathematical problem-solving knowledge. The article provides one example of this analysis.

The networking between a content analysis framework (Mathematical Knowledge for Teaching Problem-Solving) and a dialogic analysis framework (Lesson Study Dialogue Analysis) is presented. This leads to the construction of indicators to quantitatively and qualitatively code our data: five meetings during one lesson study cycle of a group of eight Swiss primary teachers, working on the teaching of problem-solving.

This article does not present empirical findings. The developed conceptual framework is the result presented.

The presented framework allows modelling, on the one hand, the knowledge relating to the teaching and learning of problem-solving and, on the other hand, the analysis of interactions during a lesson study. The article does not contain the results of the research.

The use of our framework can contribute to teacher educators' and facilitators' training by highlighting which types of intervention are favourable to the development of knowledge.

Our analysis involves a “systematic coding” approach. It allows a fine-grained analysis of the interactions in relation to the evolution of knowledge. Such a systematic approach offers the possibility of questioning the coded data in various ways.

The purpose of this chapter is to examine what small business strategic management and long-term planning involves as practised by successful growth-oriented small businesses. The aim is to provide insight into the strategic learning, control and development processes, including indicative detail of the underpinning day-to-day practices and actions that make up those processes. Key focus is the overall strategic control activity of more progressive owner managers and their use of an idiosyncratic mentally held ‘strategic planning and thinking framework’ that guides and informs strategic decision-making, strategic adjustment to existing markets, products and processes activities and long-term strategic direction.

The research approach is underpinned and informed by personal construct theory which gives emphasis to the highly complex nature of the task of small business strategic control and highlights the need for a creative and innovative research methodology to facilitate close and detailed investigation of the phenomenon. To this end, a multidisciplinary case study research methodology was developed by the authors to underpin examination of strategic development and planning within micro-, small- and medium-sized businesses.

The chapter enhances understanding of small business strategic management practice in growth-achieving micro and small enterprises. The findings of this research, whilst demonstrating the key role of entrepreneurial learning in small firm strategic control of the uncertain external environment, also provides a multidimensional lens through which to dissect and better understand the small firm strategy development process – drawing upon and integrating grains of truth from the differing schools of management thought embedded in the literature.

The findings of this study also facilitate the addressing of the ‘black box’ of hazy insight within the literature which fails to reveal micro-level fine detail understanding of the managerial and organisational actions and activities that make up strategy process. The authors commence provision of such black box insight within this chapter – this as lead-through to the follow-on chapter which affords specific attention to enhancing understanding of the micro-level fine detail minutia of managerial, organisational and work activities that make up strategy process within small businesses.

The research is of a comparative dimension focussing on small business development within the developed economy context of the UK, the emerging economy contexts of Malaysia and Ghana and the transitional economy contexts of Russia. Thus, time and resource limitations bound the studies.