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Expectations play a crucial role in finance, macroeconomics, monetary economics, and fiscal policy. In the last decade a rapidly increasing number of laboratory experiments have been performed to study individual expectation formation, the interactions of individual forecasting rules, and the aggregate macro behavior they co-create. The aim of this article is to provide a comprehensive literature survey on laboratory experiments on expectations in macroeconomics and finance. In particular, we discuss the extent to which expectations are rational or may be described by simple forecasting heuristics, at the individual as well as the aggregate level.

This article discusses the methodology of using laboratory methods to address macroeconomic questions. It also provides summaries of the articles in this volume.

The purpose of this paper is to explore the role of the entrepreneur in the knowledge transfer (KT) process of a start-up enterprise and the ways that role should change during the development phase to ensure mid-term business survival and growth.

An in-depth, qualitative case study of Birra Flea, an Italian Craft Brewery, is presented and analysed using Liyanage et al.’s (2009) framework to identify the key components of the KT process, including relevant knowledge, key actors, transfer steps and the criteria for assessing its effectiveness and success.

The entrepreneur played a fundamental and crucial role in the start-up process, acting as a selective and passionate broker for the KT process. As Birra Flea matures and moves into the development phase, the role of the entrepreneur as KT’s champion needs to be integrated and distributed throughout the organisation, with the entrepreneur serving as a performance controller.

This study enriches the knowledge management literature by applying a framework designed to provide a general description of KT, with some modifications, to a single case study to demonstrate its effectiveness in differentiating types of knowledge and outlining how KT can be configured to support essential business functions in an SME.

The analysis systematises the KT mechanisms that govern the start-up phase of an award-winning SME, with suggestions for how to manage KT during the development phase. Seldom are practitioners given insight into the mechanics of a successful SME start-up; this analysis serves as a practical guide for those wishing to implement effective KT strategies to emulate Birra Flea’s success.

The world’s economy thrives on SMEs, yet many fail as start-ups before they even have a chance to reach the development phase, presenting a motivation to study the early stages of SMEs. This study addresses that gap with an in-depth theoretical analysis of successful, effective KT processes in an SME, along with practical implications to enhance the knowledge, experience and skills of the actors that sustain these vital economic enterprises.

The paper provides a contribution of systematisation to the literature on the blue economy and aquaculture as challenging issues for achieving sustainable growth and a circular economy. The growing scientific interest in recent years and the increased attention in political agendas make the blue economy and aquaculture as promising fields for scientific investigation. The latter has been confirmed during a particular period too as the pandemic times. To identify those areas of specialisation emerging from the intersection of such topics, the paper embraces a systematic literature review for inspiring future research.

The study covers a period of 20 years by including 85 papers extracted from the Scopus database. Through the adoption of VOSviewer, the investigation explores the main descriptive statistics, while content analysis has been embraced to identify thematic areas.

The main results of this study are about statistics (i.e. publication trends, geographic distribution, most frequent keywords and most influential authors, etc.). Three main thematic areas have been identified in this study: SDGs and policies for sustainable development, food and energy, business models and managerial issues.

Practical implications arise both for firms and policymakers. About the firsts, interesting insights can be derived in terms of business model innovation, collaborative approaches and technological exploration. About policymakers, inspiration in terms of renewal of strategic guidelines, creation of enabling contextual conditions and evidences for new regulations can be noted.

Elements of original contributions can be identified in the adoption of an SLR to verify the advancement of the debate till the recent pandemic.

This paper aims to identify, synthesise and critically examine the extant academic research on the relation between big data analytics (BDA), corporate accountability and non-financial disclosure (NFD) across several disciplines.

This paper uses a structured literature review methodology and applies “insight-critique-transformative redefinition” framework to interpret the findings, develop critique and formulate future research directions.

This paper identifies and critically examines 12 research themes across four macro categories. The insights presented in this paper indicate that the nature of the relationship between BDA and accountability depends on whether an organisation considers BDA as a value creation instrument or as a revenue generation source. This paper discusses how NFD can effectively increase corporate accountability for ethical, social and environmental consequences of BDA.

This paper presents the results of a structured literature review exploring the state-of-the-art of academic research on the relation between BDA, NFD and corporate accountability. This paper uses a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria. This paper also presents a series of actionable insights of how corporate accountability for the use of big data and algorithmic decision-making can be enhanced.

This paper discusses how NFD can reduce negative social and environmental impact stemming from the corporate use of BDA.

To the best of the authors’ knowledge, this paper is the first one to provide a comprehensive synthesis of academic literature, identify research gaps and outline a prospective research agenda on the implications of big data technologies for NFD and corporate accountability along social, environmental and ethical dimensions.

The main objective of this exploratory study is to analyze the range of human capitals necessary for the modern entrepreneur and the nature of the barriers to effectively support the development of these capitals. Human capital is one of the three dimensions of intellectual capital and this document examines the role of education and training for entrepreneurial success.

Drawing on a broad review of the main contributions to research and practice in the field of intellectual capital and entrepreneurship issues, we conducted a qualitative study using semi-structured in-depth interviews on a sample of 10 professionals expert in business support. They represent a cross section of the main corporate agencies in Scotland. In addition, an interview guide was used to ensure that some questions, or “key questions”, were asked to all participants, also allowing for the flexibility to obtain updated information.

The interviews identified 21 key human capitals needed by today's entrepreneurs. However, the study also identifies the existence of obstacles to providing effective support for the development of human capital in the entrepreneur in terms of attention, process and resources.

Research limitations–The study is based on data collected by a sample of 10 professionals, according to a qualitative approach that focuses on a specific social field and therefore the results cannot be immediately generalized to other fields.

Practical implications–The study identifies the key human capital needed to run a successful company, directing the professional to direct support interventions more effectively in order to increase productivity and improve success rates for its customers.

The value the long-term benefits of even a marginal increase in the efficiency of enterprise support to business through targeted entrepreneurial learning cannot be overstated.

There is a lack of empirical data linking the development of human capital and entrepreneurship. This work has resonance for providers of enterprise support seeking to remain relevant to the entrepreneurial development needs of the entrepreneur.

This study aims to draw attention to consumers' behaviours which are changing on account of the COVID-19 pandemic, provide an understanding of the factors influencing these behaviours and emphasise their importance in building contemporary business models for the restaurant industry. The article is a case study of the Polish restaurant sector based on a comparison with the worldwide literature.

A study of the current literature on the subject pertaining to the issues discussed, an analysis of them, mainly by examining trade reports, with a special focus on the following databases (BDL GUS, CBOS, IGGP PKD) and foreign references, as well as Internet sources, using the systematic (structured) literature review (SLR) method. The authors searched the databases between May 2020 and May 2022, paying attention to the following keywords: COVID-19, consumer behaviours, food services, market segmentation, Poland.

The analysis allowed the authors to identify the most important factors influencing consumer behaviour under the influence of the COVID-19 pandemic. This in turn enabled them to verify a hypothesis concerning the significant impact of the COVID-19 pandemic on consumers’ behaviours on the food service market. Results from an analysis of trade reports and from a literature review confirm the hypothesis proposed, leading to the conclusion that the contemporary reality in Poland currently requires businesses to continuously monitor consumers’ behaviours in a turbulent and uncertain environment.

The systematic identification of changes taking place in consumers’ behaviours will make it possible to adapt a portfolio of services to changes observed in this regard.

The analysis conducted by the authors in 2021 to examine trends in consumer behaviours proved that changes affecting their thinking were undoubtedly accelerated by the pandemic of a contagious disease – COVID-19.

Some consumer trends that appear to be a response to limits and restrictions may be observed for a longer period of time. Therefore, those restaurant owners who want to successfully go through the stage of adaptation to the new reality will have to focus, in the short term, on actions designed to identify their customers’ needs and expectations anew and tailor their business models and offer accordingly.

The purpose of this study is to analyze the properties of Happiness at Workplace (HAW) scale and investigate the validity of the scale in the Indian context using a sample of EdTech employees (knowledge-intensive population). This is consistent with encouraging the happiness literature as well as facilitating positive approaches at the working place in developing economies.

Responses were collected via Questionnaire from the employees of EdTech Companies, and a total of 500 responses were investigated. The factor structures, reliability and validity of the HAW scale were tested with the help of SPSS and Smart PLS Software Version 4.0.8.7.

The findings of this study showed that all the criteria of reliability and validity for validation of HAW scale were met when used in Indian culture, and the higher-order construct of HAW scale was retained.

Because of the differences in work cultures and societal structures among nations, the validation of HAW scale in the Indian context is needed, as the majority of the studies in the field of happiness were conducted in Western countries. So this study contributes significantly by validating the HAW scale in India by using a sample of EdTech employees.

With intention to promote growth of happiness literature in non-western settings and facilitate positive interventions at workplace, the purpose of this paper is to examine the psychometric properties and validate the short version of happiness at workplace (S-HAW) scale using knowledge workers’ sample in the Indian context.

The S-HAW scale was validated using data from 226 Indian knowledge workers from public and private sector organisations. The mixed-mode approach was used for collecting data, whereas factor structures, reliability and validity scores were also examined with the help of SPSS AMOS 21. The study included initial descriptive analysis, item analysis, exploratory factor analysis and confirmatory factor analysis.

The results of the study discovered that psychometric properties of the S-HAW scale were similar to those of originally developed scale when applied in the Indian context. Hence, the higher-order structure was retained in Indian settings.

Despite the changes in work-related values and societal structures between Western and Asian nations, this study provides a significant contribution to empirically confirming that the different cultural scales can also show good fits in Collectivist cultures. The study can bridge the gap between Asian and Western nations with the uniform measure of HAW. Thus, more cross-cultural studies usually comparative in nature welcomed with S-HAW Indian version scale for knowledge workers.