Do accountabilities change when public organisations transform to service systems: A new conceptual approach

In this conceptual paper, we discuss from the service systems perspective how accountabilities differ from a hierarchic and organisational perspective within the domain of New Public Management, looking to shed new light upon accountability as a research topic. The concept of service systems and their accountabilities are scrutinised and the role of integrated social and health care services is discussed in particular. The main argument in the text is the changing nature of accountabilities as the public organisations are being transformed into service systems. To date, the understanding of accountability has remained structural by nature – such is the case also for productivity measurement – but the shift from organisations towards services systems means that accountability ought to be considered as processual by nature. By processual it is meant that accountability should be considered as flows within systems – that is: flows between agents the content of which we argue includes not only knowledge on the outputs of public services, but also values, empathy and thus multi‐layered understanding of accountability. The paper concludes with practical insights for managerial purposes on the basis for this accountability shift.     

Does telic/paratelic user mode matter on the effectiveness of interactive internet advertising? A reversal theory perspective

Drawing on reversal theory (Apter, 2007), the current research proposes that internet users' metamotivational state (telic vs. paratelic) determines advertising interactivity's effectiveness. An online field experiment involving 141 Facebook and Twitter users tests this proposition. Research findings support telic state consumers form more positive attitudes toward a low-level interactive ad, whereas paratelic state consumers form more positive attitudes toward a high-level interactive ad. Further, this research shows that an arousal seeking tendency mediates the metamotivational state's impact on ad attitude.     

Small seeds for grand challenges—Exploring disregarded seeds of change in a foresight process for RTI policy

The recent turn in research, technology and innovation (RTI) policy towards challenge-led strategies is posing new demands to Foresight methodology. RTI Foresight practitioners need to complement their well developed set of technology oriented methods with equally sophisticated approaches tackling societal aspects of innovation. In this paper we aim to make a contribution to this requirement. Building on user innovation theory we argue that demand oriented RTI Foresight needs to systematically integrate voices and hypotheses from the fringes of the innovation system. In order to develop a sound approach for this we set out from well established Foresight theory on “weak signals” and “cognitive biases”. Adopting a constructivist stance towards such signals leads us to the need to set up a socially robust, diverse discourse on “seeds of change hypotheses”. We then outline a practical implementation of such a discourse in the context of the recent Foresight process of the Federal Ministry of Education and Research (BMBF) in Germany. We describe and discuss the experience of this Foresight process and suggest avenues for further development of the approach.     

Do analysts who understand accounting conservatism exhibit better forecasting performance?

This study investigates the performance of analysts when they match the asymmetric timeliness of their earnings forecast revisions (i.e., asymmetric forecast timeliness) with the asymmetric timeliness of firms’ reported earnings (i.e., asymmetric earnings timeliness). We find that better timeliness‐matching analysts produce more accurate earnings forecasts and elicit stronger market reactions to their forecast revisions. Further, better timeliness‐matching analysts issue less biased earnings forecasts, more profitable stock recommendations and have more favorable career outcomes. Overall, our results indicate that analysts’ ability to incorporate conditional conservatism into their earnings forecasts is an important reflection of analyst expertise and professional success.     

Governmental Financial Reporting of Heritage Assets From a User Needs Perspective

The implementation of IPSASs in European Union countries and the harmonization of governmental financial reporting are intended to respond to the needs of citizens. An important characteristic of reforms to governmental accounting and financial reporting is the incorporation within the accounting systems of all public authority assets, which include the case of ‘heritage assets’. This paper investigates to what extent IPSAS 17 responds to user needs of governmental financial reporting about heritage assets by conducting a survey of mayors and councillors in the Italian local government.     

Exploring consumer attitudes to online collaborative consumption: A typology of collaborative consumer profiles

Online collaborative consumption enhances peer networks, members of which communicate, collaborate, and even deliver services to one another via digital sharing platforms. Despite the tremendous increase in collaborative consumption, due in large part to the development of the Internet, the reality of the economic and social movements that underpin this trend is much less visible. Of course, not all consumers seek collaborative consumption or interact through online platforms. Using a qualitative approach, this paper aims to investigate motivational factors and barriers against collaborative consumption and to establish a typology of collaborative consumer profiles, identifying the most suitable type of online sharing platforms for each profile. The findings reveal the following collaborative consumer profiles: committed, pragmatists, intermittent, and skeptical, each demonstrating different preferences for the different type of online sharing platform.     

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data.     

Supply chain risk analysis: a shipbuilding industry case

A lack of empirical studies on Supply Chain Risk Management (SCRM) is observed, especially in the industries of large projects. Therefore, this paper conducts a risk analysis on the Brazilian Shipbuilding Industry by generating an initial risk profile. A panel was conducted with executives from major shipyards, and the primary risks were identified, assessed, and evaluated. Findings corroborate the academic literature, reinforcing that companies recognise the importance of SCRM, but the concept is incipient and far from being successfully implemented in real life. Despite the fact that the shipyards identified important risks, the focus was on internal factors. Because the industry was exposed to risks from the external environment, no risk mitigation actions existed, resulting in the bankruptcy of many shipbuilders. This research is an initial step toward investigating SCRM techniques, offering academics a novel empirical approach that can serve as a systematic risk management tool for supply chain planning.     

Adoption of precision farming tools: A context-related analysis

This paper deals with precision farming tools (PFTs), a way of farming which relies on specialized equipment, software and information technologies services, whose importance is underlined in recent documents of the European Union. Precision farming is an integrated and sustainable farm management system making use of modern technologies to increase farm’s profitability, by reducing environmental impact. In this paper we explore the complex mechanisms that affect PFT’s adoption by Italian farmers. More precisely, we try to analyse the context-related factors affecting adoption of PFTs in the Italian farms.Little research has been carried out in Italy on this topic, therefore our paper tries to fill a gap in literature. In order to investigate the process of technology adoption related to precision agriculture, a questionnaire was submitted to a sample of Italian farms. The questionnaire has been structured in order to apply the AKAP (Awareness, Knowledge, Adoption, Product) sequence. Our analysis underlines that context-related factors are fundamental dimensions to be explored in order to specify uptake of PFTs. Therefore, the paper has relevant policy implications, within the context of a new participatory approach to agricultural innovation characterized by bottom-up processes boosted by farmers, which has informed the recent policies of agricultural innovation at the EU level.     

THE ECONOMIC AND BEHAVIORAL CONSEQUENCES OF ONLINE USER REVIEWS

Online user reviews have become an increasingly relevant informational tool during product search and adoption. Recent surveys have shown that consumers trust and rely on online reviews more than they do on website recommendations and experts opinions. As a new way of driving consumer purchasing intentions, online user reviews have therefore come under scrutiny by researchers. The objective of this paper is to offer an overview of the literature regarding the impact of online user reviews on economic indicators (e.g., sales, marketing strategies) and on consumer behavior. Furthermore, following the growing interest of academics and professionals alike on the topic, the present work provides an exploratory analysis of the consequences of online reviews on individual rating behavior – empirical regularities showed that online rating distributions tend to be concentrated on extreme values, possibly because of rating biases. As consumers and firms incorporate the heuristic cues from such distributions into their decision-making processes, biased ratings might lead to suboptimal choices. This overview presents established results (e.g., the impact of volume on product sales) and insights as issues for future research.