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The recent promotion of prefabricated housing (PH) in China has resulted in a prosperous period for its implementation. However, transaction costs (TCs) cause low economic efficiency to stakeholders and hinder the further promotion of PH. No relevant study has yet been made to investigate the TCs and their causes in the PH field. This paper identifies critical TCs and explores the influencing factors from the developers' perspective.

Semi-structured interviews and a questionnaire survey were used to collect data about TCs and influencing factors. The most influential factors are identified with their impacts on particular TCs, yielded from correlation analysis and logistic regression.

From the developers' perspective in China's PH market, this study identified that the most concerning sources of TCs are: hidden costs arising from disputes, extra workloads from design changes, learning costs, intensive communication and coordination in assembly and unexpected information costs in decision-making. The use of an ordered logistic regression approach indicates that the four most influential factors are: qualification of the general contractor, mandatory local policies, owner type and competitiveness of the developer.

To reduce the TCs, experiencing learning and ensuring the design scheme's complicity are recommended to save information searching and exchanging costs. The implications for the PH developers are for them to: (1) professionalize their own organization and (2) procure high-qualified general contractors. For the policymakers, this means they should improve the clarity of the mandatory local policies for PH step-by-step.

By applying the TCs economic theory, this study explores factors that influence TCs in the PH industry. It sheds light on the influencing mechanism behind the TCs in the context of prefabricated housing.

This paper aims at assessing the impact of a number of behavioral interventions on the willingness of informal businesses, in the Egyptian informal sector, to join the formal sector.

This paper uses an experimental methodology to examine the impact of behavioral interventions on the formalization of the Egyptian informal sector. Specifically, it conducts a survey experiment on a total of 240 informal businesses, operating in the Egyptian informal sector. The primary data collected from the survey experiment is then analyzed using a binary logistic regression to assess the impact of the behavioral primes on the probability of joining the formal market.

The empirical findings of the survey experiment indicate that the biggest obstacle facing informal businesses is finding a formal source of finance that could help them in penetrating the market. Providing informal businesses with information on funding opportunities offered by the ministry of micro, small and medium enterprises (MSME) significantly increased the probability of joining the formal sector to benefit from this opportunity.

This paper is the first to apply behavioral primes, in the form of informational cues, to the Egyptian case of informal business owners. Previous research on the use of behavioral nudges and primes has focused mainly on the western economies.

The purpose of this paper is to investigate the role of smartphones among young people in everyday life, focusing on the activity of online search. This paper addresses the following research questions: What framings of the smartphone can be identified in the way that young people use, and describe, smartphones? What is the role of online search within these framings? By elucidating framings of the smartphone, this paper also seeks to discuss why and how smartphone use becomes contested in various contexts and situations.

The material has been produced through ethnographic fieldwork. Focus groups and observations have been carried out with teenagers, age 13–16 years, in three schools in Sweden. In total, 39 pupils participated in the focus groups. Interviews, classroom observations and go-alongs have also been performed.

In this study, three framings of the smartphone are identified: the entertainment framing, the easy-access framing and the challenging co-presence framing. The framings highlight the way that both the smartphone and online search is viewed, and carried out, in various situations. The smartphone is primarily viewed as a tool for entertainment, by adults and young people alike, yet the findings illustrate that the smartphone is used for more activates than what is immediately apparent.

This study contributes to the field interested in bridging the gap between in-school teachings of information literacies and out-of-school activities by showing how online search happens in various situations. Also, to the field concerned with people’s use of general web search engines in everyday life.

This paper explores the relation between online search and smartphones, a topic which has not been in focus in previous research. The topics of online search and smartphone use have primarily been researched separately but are here researched in conjunction.

The purpose of this paper is to increase the understanding of organizational challenges when decision-makers try to comply with technological developments and increasing demands for a more rational distribution of health care services. This paper explores two decision-making processes from 2007–2019 in the area of vascular surgery at a regional and a local level in Norway.

The study draws upon extensive document analyses, semi-structured interviews and field conversations. The empirical material was analyzed in several steps through an inductive approach and described and explained through a theoretical framework based on rational choice (i.e. bounded rationality), political behavior and institutionalism. These perspectives were used in a complementary way.

Both decision-making processes were resource-intensive, long-lasting and produced few organizational changes for the provision of vascular services. Stakeholders at both levels outmaneuvered the health care planners, though by different means. Regionally, the decision-making ended up in a political process, while locally the decision-making proceeded as a strategic game between different departments and professional fields.

Decision-makers need to prepare thoroughly for convincing others of the benefits of new ways of organizing clinical care. By providing meaningful opportunities for public involvement, by identifying and anticipating political agendas and by building alliances between stakeholders with divergent values and aims decision-makers may extend the realm of feasible solutions.

This paper contributes to the understanding of why decision-making processes can be particularly challenging in a field characterized by rapid technological development, new treatment options and increasing demands for more rational distribution of services.

Technological developments and new customer expectations of immediacy have driven businesses to adopt on-demand service models. The purpose of this paper is to study the characteristics of a range of on-demand services in order to better understand the meaning of “on-demand” and its implications for service management. This enables the on-demand service logic to be applied to other service contexts, where it may add value for customers.

The study starts with a focused literature review and continues with a multiple case study methodology, as the on-demand service concept is in the early stages of theory development. Seven cases were studied, based on a maximum variation sampling strategy.

The results show that on-demand services are characterized by three interrelated characteristics: being highly available, responsive and scalable. Analysis further reveals that on-demand services display differences within the conceptual boundaries of these characteristics, i.e. they vary in terms of their availability, responsiveness and scalability.

Drawing on these findings, the study contributes to the service literature by being the first to specifically conceptualize and define the on-demand services concept and reveal three key characteristics that clarify the distinctive nature of this service type. Accordingly, on-demand services are clearly differentiated from other services. Additionally, the paper discusses the variety within on-demand services and develops an on-demand service continuum that gives detailed insights into the conceptual variations within such services.

People often face constraints such as a lack of time or information in taking decisions, which leads them to use heuristics. In these situations, fast and frugal rules may be useful for making adaptive decisions with fewer resources, even if it leads to suboptimal choices. When applied to financial markets, the recognition heuristic predicts that investors acquire the stocks that they are aware of, thereby inflating the price of the most recognized stocks. This paper aims to study the profitability against the market of the most recognized stocks in Europe.

In this paper, the authors perform a survey and use Google Trends to study the profitability against the market of the most recognized stocks in Europe.

The authors conclude that a recognition heuristic portfolio yields poorer returns than a market portfolio. In contrast, from the data collected on Google Trends, weak evidence was found that strong increases in companies monthly search volumes may lead to abnormal returns in the following month.

The applied investment strategy does not account for transaction costs, which may jeopardize its profitability given the fact that it is necessary to revise the portfolio on a monthly basis. Despite the results obtained, they are useful to understanding the performance of recognition heuristic strategies over a comprehensive time horizon, and it would be interesting to depict its viability during different market conditions. This analysis could provide additional information about a preferable scenario for employing our strategies and, ultimately, enhance the profitability of recognition heuristic strategies.

Through the exhaustive analysis performed here on the recognition heuristic in the European stock market, it is possible to conclude that no evidence was found for the viability of exploring this type of strategy. In fact, the investors would always gain better returns when adopting a passive investment strategy. Therefore, it would be wise to assume that the European market presents at least a degree of efficiency where no investment would yield abnormal returns following the recognition heuristic.

The main objective of this paper is to study the performance of the recognition heuristic in the financial markets and to contribute to the knowledge in this field. Although many authors have already studied this heuristic when applied to financial markets, there is a lack of consensus in the literature.

The article makes an empirical and conceptual contribution to understanding the temporalities of information literacies. The paper aims to identify different ways in which anticipation of certain outcomes shapes strategies and tactics for engagement with algorithmic information intermediaries. The paper suggests that, given the dominance of predictive algorithms in society, information literacies need to be understood as sites of anticipation.

The article explores the ways in which the invisible algorithms of information intermediaries are conceptualised, made sense of and challenged by young people in their everyday lives. This is couched in a conceptual discussion of the role of anticipation in understanding expressions of information literacies in algorithmic cultures. The empirical material drawn on consists of semi-structured, pair interviews with 61 17–19 year olds, carried out in Sweden and Denmark. The analysis is carried out by means of a qualitative thematic analysis in three steps and along two sensitising concepts – agency and temporality.

The results are presented through three themes, anticipating personalisation, divergences and interventions. These highlight how articulating an anticipatory stance works towards connecting individual responsibilities, collective responsibilities and corporate interests and thus potentially facilitating an understanding of information as co-constituted by the socio-material conditions that enable it. This has clear implications for the framing of information literacies in relation to algorithmic systems.

The notion of algo-rhythm awareness constitutes a novel contribution to the field. By centring the role of anticipation in the emergence of information literacies, the article advances understanding of the temporalities of information.

In order to mitigate the effects of climate change, the UK government has set a target of achieving net zero greenhouse gas (GHG) emissions by 2050. Agricultural GHG emissions in 2017 were 45.6 million tonnes of carbon dioxide equivalent (CO₂e; 10% of UK total GHG emissions). Farmland hedgerows are a carbon sink, storing carbon in the vegetation and soils beneath them, and thus increasing hedgerow length by 40% has been proposed in the UK to help meet net zero targets. However, the full impact of this expansion on farm biodiversity is yet to be evaluated in a net zero context. This paper critically synthesises the literature on the biodiversity implications of hedgerow planting and management on arable farms in the UK as a rapid review with policy recommendations. Eight peer-reviewed articles were reviewed, with the overall scientific evidence suggesting a positive influence of hedgerow management on farmland biodiversity, particularly coppicing and hedgelaying, although other boundary features, e.g. field margins and green lanes, may be additive to net zero hedgerow policy as they often supported higher abundances and richness of species. Only one paper found hedgerow age effects on biodiversity, with no significant effects found. Key policy implications are that further research is required, particularly on the effect of hedgerow age on biodiversity, as well as mammalian and avian responses to hedgerow planting and management, in order to fully evaluate hedgerow expansion impacts on biodiversity.

The density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and another point with a higher ρ value). According to the center-identifying principle of the DP, the potential cluster centers should have a higher ρ value and a higher δ value than other points. However, this principle may limit the DP from identifying some categories with multi-centers or the centers in lower-density regions. In addition, the improper assignment strategy of the DP could cause a wrong assignment result for the non-center points. This paper aims to address the aforementioned issues and improve the clustering performance of the DP.

First, to identify as many potential cluster centers as possible, the authors construct a point-domain by introducing the pinhole imaging strategy to extend the searching range of the potential cluster centers. Second, they design different novel calculation methods for calculating the domain distance, point-domain density and domain similarity. Third, they adopt domain similarity to achieve the domain merging process and optimize the final clustering results.

The experimental results on analyzing 12 synthetic data sets and 12 real-world data sets show that two-stage density peak clustering based on multi-strategy optimization (TMsDP) outperforms the DP and other state-of-the-art algorithms.

The authors propose a novel DP-based clustering method, i.e. TMsDP, and transform the relationship between points into that between domains to ultimately further optimize the clustering performance of the DP.

This study aims to explore the serendipitous discovery of integrated reporting (IR) by Alpha, an Italian small and medium-sized enterprise (SME). Alpha piqued the curiosity when the authors discovered that it experimented with IR alongside other management accounting practices, such as the Balanced Scorecard. As the authors reflected on Alpha’s experiences, the authors had to opportunistically develop a new framework to understand the change that was taking place at Alpha fully. Thus, the authors developed the serendipitous drift framework. This study contributes to addressing the gap between management accounting research that sees change as a planned, ordered process versus research that sees it as an unmanageable drift.

The authors ground the research on a qualitative methodology based on a single case study. This methodology allows us to focus on understanding what has happened at Alpha to discover new themes and provide theoretical generalisations. The authors developed the framework using middle-range thinking and fleshed it out using empirical findings from the case study. Middle-range thinking implies going back and forth between the theory and the empirical material. Therefore, the authors develop the serendipitous drift framework from prior theories and use it to inform the empirical study. In turn, the empirical material collected in Alpha helps refine and flesh out the serendipitous drift framework. The framework explains how Alpha leveraged serendipity to steer change towards favourable outcomes for them.

The authors find that the search for change undertaken by Alpha’s managers was non-specific but purposeful. Their dispositions were sagacious enough to recognise the potential value found in management accounting practices, such as IR and the Balanced Scorecard. They chanced upon new and unforeseen practices through trial and error, iteration, internal engagement and networking.

Overall, the results indicate that Alpha’s managers shaped the disorder of management accounting changes, even though it followed unexpected, uncertain and messy paths. Indeed, appropriate informal controls can act as a frame of reference for choosing, adapting and implementing new management accounting practices to shape the disorder. Informal controls can both guide and bound the experimentation process towards desirable outcomes.

The authors contribute to management accounting change theory by developing a framework rooted in serendipity and drifting theories. The framework identifies how searching, sagacity and chance are essential for making positive, unexpected discoveries. Therefore, the authors provide novel insights on how and why IR and other management accounting practices are eventually translated and adopted in the case company. Moreover, the serendipitous drift framework has the potential to help managers frame cultural controls to actively seek opportunities for valuable serendipitous eureka moments through networking and experimentation.