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Intelligence level of a crowd network is defined as the expected reward of the network when completing the latest tasks (e.g. last N tasks). The purpose of this paper is to improve the intelligence level of a crowd network by optimizing the profession distribution of the crowd network.

Based on the concept of information entropy, this paper introduces the concept of business entropy and puts forward several factors affecting business entropy to analyze the relationship between the intelligence level and the profession distribution of the crowd network. This paper introduced Profession Distribution Deviation and Subject Interaction Pattern as the two factors which affect business entropy. By quantifying and combining the two factors, a Multi-Factor Business Entropy Quantitative (MFBEQ) model is proposed to calculate the business entropy of a crowd network. Finally, the differential evolution model and k-means clustering are applied to crowd intelligence network, and the species distribution of intelligent subjects is found, so as to achieve quantitative analysis of business entropy.

By establishing the MFBEQ model, this paper found that when the profession distribution of a crowd network is deviate less to the expected distribution, the intelligence level of a crowd network will be higher. Moreover, when subjects within the crowd network interact with each other more actively, the intelligence level of a crowd network becomes higher.

This paper aims to build the MFBEQ model according to factors that are related to business entropy and then uses the model to evaluate the intelligence level of a number of crowd networks.

This paper aims to contribute to better understanding of where and how network concepts, theories and perspectives, organisational networks, and networking practices, are being studied and deployed in social enterprise research. This is done through a systematic review of social enterprise and networks literature in business and management journals. Key trends and developments in this literature, and gaps and limitations, are identified, culminating in discussion of what next for social enterprise and networks research. The papers in this special issue on “Social Enterprise and Networks” are introduced.

A systematic review was undertaken of social enterprise and networks literature in business and management journals. Journals sampled included all those in the Entrepreneurship and Small Business subject area of the Association of Business Schools (ABS) Academic Journal Guide 2018, the journals in the Financial Times 50 research ranking, and selected wider business and society, non-profit management and public administration journals.

Analysis of publishing patterns of social enterprise and networks research finds that such research is growing, and that varied network perspectives, concepts and theories are being deployed. Social enterprise and networks are also being studied globally, using different methodologies. Nevertheless, there remains scope for deeper theoretical engagement, and for a wider range of network theories to be used. More even geographic coverage is also needed, and further insights can be gained through use of alternative methodologies.

Discussions in this paper have implications for research through outlining systematically the state of current scholarship on social enterprise and networks. In so doing, insight is provided on what is known about social enterprise and networks. But also on what is not known and where further enquiry is needed. Direction is thus provided for future social enterprise and networks scholarship.

In this paper, how, and the extent to which, social enterprise and networks scholarship offers implications for practice and policy is considered.

This paper makes a valuable contribution to social enterprise scholarship. It outlines the state of current knowledge and research on social enterprise and networks, identifying where and how relationships between social enterprise and networks have been studied, whilst also providing insights for what next in future social enterprise and networks research.

This study seeks to explore the key themes in identity play during unemployment and the potential obstacles faced by unemployed individuals.

This qualitative study is based on 23 interviews with unemployed individuals in Germany.

The authors identify three obstacles to identity play during unemployment: a lack of psychological safety to explore possible selves, a lack of opportunity to try out possible selves and a lack of social validation for possible selves. Several interviewees highlight the impact of social context, creating an absence of institutional support and a limited identity “playspace.” As such, the authors illustrate that when faced with these obstacles, the unemployed individuals of this study predominantly focus on identity work instead of identity play. Only a few interviewees seem to engage in and sustain identity play. The authors propose that the elaborate nature of their possible selves and their focus on future opportunities may overshadow the present self and immediate obstacles.

The authors argue that identity play is not readily available to all individuals in all situations. Instead, they suggest that some psychologically and socially threatening contexts such as unemployment are characterized by obstacles that constrain individuals' identity play and prevent the adoption of new work identities. Hence, the authors call for a more balanced and localized understanding of identity play.

The successful and commercial use of self-driving/driverless/unmanned/automated car will make human life easier. The paper aims to discuss this issue.

This paper reviews the key technology of a self-driving car. In this paper, the four key technologies in self-driving car, namely, car navigation system, path planning, environment perception and car control, are addressed and surveyed. The main research institutions and groups in different countries are summarized. Finally, the debates of self-driving car are discussed and the development trend of self-driving car is predicted.

This paper analyzes the key technology of self-driving car and illuminates the state-of-art of the self-driving car.

The main research contents and key technology have been introduced. The research progress as well as the research institution has been summarized.

This paper aims to present the findings of a government-initiated project that sought to explore the possibility of incorporating cultural connections to land within the federal national accounting system using the United Nations Systems of Environmental-Economic Accounting (UN-SEEA) framework as a basis.

Adopting a critical dialogic approach and responding to the calls for critical accountants to engage with stakeholders, the authors worked with two Indigenous groups of Australia to develop a system of accounts that incorporates their cultural connections to “Country”. The two groups were clans from the Mungguy Country in the Kakadu region of Northern Territory and the Ewamian Aboriginal Corporation of Northern Queensland. Conducting two-day workshops on separate occasions with both groups, the authors attempted to meld the Indigenous worldviews with the worldviews embodied within national accounting systems and the UN-SEEA framework.

The models developed highlight significant differences between the ontological foundations of Indigenous and Western-worldviews and the authors reflect on the tensions created between these competing worldviews. The authors also offer pragmatic solutions that could be implemented by the Indigenous Traditional Owners and the government in terms of developing such an accounting system that incorporates connections to Country.

The paper contributes to providing a contemporary case study of engagement with Indigenous peoples in the co-development of a system of accounting for and by Indigenous peoples; it also contributes to the ongoing debate on bridging the divide between critique and praxis; and finally, the paper delves into an area that is largely unexplored within accounting research which is national accounting.

This article ties in with current debates on the digital transformation of society and the consequent work changes. Using an artificial intelligence (AI)-based accounting context, the focus of this paper is on actors, roles and tasks and related skills on an individual level. The authors look at the effect of AI-based “smart” technology on the workforce in the broader accounting profession taking an intrafirm perspective, yet acknowledging that the digital transformation encompasses a much larger field in the financial sector.

The authors conduct a Delphi study to identify the new roles and tasks in future accounting. In addition, the authors use expert workshops to clarify the related tasks and skills and determine whether either humans or AI-based technologies perform the roles or collaborate in professional accounting occupations.

The results show that tasks and skills for existing professional occupations in the broader acounting context will be subject to major changes in the next 10 years due to (AI based) digital technologies, while “core” roles and tasks will continue to exist in the future, some will not be performed by humans but by AI-based technology. For other “new” roles, humans will need to make informed use of digital technologies and, to some extent, collaborate with AI-based technology.

The authors look at the effect of AI-based “smart” technology on the workforce in the broader accounting profession, taking an intrafirm perspective.

This article ties in with current debates on the digital transformation of society and the consequent work changes. Using an AI-based accounting context, the focus of this paper is on the new and adapted roles and tasks.

The comprehensive analysis based on the Delphi study and expert workshops provide ample innovative ground for future research on the impact of AI on organisations and society.