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The purpose of this paper is to propose a conference-based online social network (OSN) for academics’ knowledge sharing and collaboration around and beyond a conference, while exploring the entanglement of the social and technical aspects of the system.

Following an exploratory study, an OSN prototype was developed and implemented in ECIS 2014. The usage of the OSN platform was monitored and in-depth interviews were conducted with seven of its active users.

Academic researchers have positive attitudes toward using conference-based OSN. However, there is a gap between academics’ perceptions and their actual behavior. Several barriers for engagement were identified, leading to technical and social recommendations, including the following needs: integrating the OSN platform with other conference information systems; addressing privacy concerns; allowing on-going collaboration; increasing OSN vitality; using the wisdom of the crowd; and promotion and its timing.

The case study highlighted existing benefits, and identified potential future benefits from implementing a conference-based OSN. Future research is required to generalize the findings and evaluate the proposed strategies for enhancing user engagement.

This study revealed the set of considerations that should be taken upon launching a new academic OSN, which are beyond the technical issues per se.

The paper presents the expected benefits from, and existing barriers to using a conference-based OSN, and suggests recommendations for encouraging academics to engage in such OSN, in order to enhance long-term social interactions, knowledge sharing and collaboration among conference participants.

This is a first study to examine a conference-based OSN.

Management practices and education are presently in a stage of reappraisal and a growing number of scholars and experts are suggesting that managers should be taught and adopt the approach and methodologies of designers. The purpose of this paper is to imagine the impact of this move and to try and foresee whether “management as design” is an inescapable evolution or just another management fad.

Once the notion of management as design is defined, a thought experiment is proposed to the reader under the guise of a forged business case whose various implications are progressively exposed and discussed.

The adoption of a design approach holds profound transformative potential for the positioning, offer, value chain and processes of firms but it also implies a substantial re‐arranging of the relations between co‐workers, and between managers and subordinates. Beyond the initial shock that the introduction of a radically different approach inevitably entails, management as design is exposed to three perils: the reduction of design approaches and methods to a mere set of tools in the hands of self‐appointed experts; the rejection of its open‐ended and inclusive methods on account of their lengthy and time‐consuming nature; the inherently hard‐to‐manage relations between traditional managers, on the one hand, and managers as designers, on the other.

The article uses the power of a fictional narrative to explore and draw some of the firm‐level and individual‐level implications of the adoption of “management as design” approaches and methodologies by a hypothetical company.

In a context of international economic crisis the improvement in the efficiency and productivity of public services is seen as a way to maintain high-quality levels at lower costs. Increased productivity can be promoted through benchmarking exercises, where key performance indicators (KPIs), individually or aggregated, are used to compare health units. The purpose of this paper is to describe a benchmarking platform, called Hospital Benchmarking (HOBE), where hospital’s services are used as the unit of analysis.

HOBE platform includes a set of managerial indicators through which hospital services’ are compared. The platform also benchmarks services through aggregate service indicators, and provides an aggregate measure of hospital’s performance based on a composite indicator of the service’s performances. These aggregate indicators were obtained through data envelopment analysis (DEA).

Some results are presented for Portuguese hospitals for the trial years of 2008 and 2009, for which data is publicly available. Details for the service-level analysis are provided for a sample hospital, as well as details on the aggregate performance resulting from services performances.

HOBE’s features and outcomes show that the platform can be used to guide management actions and to support the design of health policies by administrative authorities, provided that good quality and timely data are available, and that hospitals are involved in the design of the KPIs.

The platform is innovative in the sense that it bases its analysis on hospital’s services, which are in general more comparable among hospitals than indicators of hospital overall performance. In addition, it makes use of DEA to aggregate performance indicators, allowing for user choice in the inputs and outputs to be aggregated, and it proposes a novel model to aggregate service’s efficiencies into a single measure of hospital performance.

Behavioral finance literature has long claimed that internet stock message boards can move markets. In this chapter, the authors study more than 2,000 internet board messages posted across finance message boards in India (Chittorgarh, etc.) for 110 companies that went for initial public offering (IPO) in the last one year. This study has multi-fold objectives. First, the authors try to identify the factors which lead to a discussion on an IPO stock in the message board. Second, the authors identify the factors which differentiate a widely discussed stock from the less discussed one. Next, the authors apply advanced machine learning technique to identify the topics which are discussed in the message board through automatic topic modeling. The methodology used includes a logistic regression model for identifying firm characteristics which leads to a probability of getting stakeholders’ attention and hence more discussion. The authors also use advanced topic modeling techniques to identify topics of discussion on the message boards through machine learning. The authors find that larger sized firms, younger firms, firms with low leverage, and non-manufacturing firms get discussed more and the topics of discussion relate to their financial statements, trading strategies, stock behavior, and performance.

Purpose: To identify the strengths, weaknesses, opportunities and threats of business incubator models and their potential use in worldwide. Methodology: We studied two international cases: (a) United States, (b) United Kingdom. Findings: The results highlight the similarities and differences between the countries. It adds knowledge for both academics and practitioners who are interested in business incubation. Value: This paper is the first to utilize the SWOT technique to analyze the business incubation field and provides recommendations to implement successful adoption of the incubator’s strengths. The potential of Business Incubators who act as models in worldwide and their contribution to the economy, the active role they play in the local, regional and national economic development are discussed. Implications: Adaptation of a Business Incubator Model leads to (1) the support of diverse economies, (2) the commercialization of new technologies, (3) job creation and (4) increases in wealth, given that weaknesses can be overcome.

Reports intensive country studies conducted for a sample of ten countries – five historically socially planned and five predominantly market economies – for comparative analyses of socioeconomic‐political characteristics prior to privatization. Purpose was to discern if there were any common factors descriptive of capitalist and/or socialist countries prior to privatization. Constructs from a common set of factors descriptive of all the economies in the sample prior to initiation of privatization, a general model of preconditions for privatization. Results of limited testing appeared to lend credence to the model.