Suchergebnisse

The digitization of communications technology has led to an intense interaction between human and digital-based technology. A large number of digital data traces produced by humans as a result of that activity. Such data is commonly referred to Big Data. The availability of Big Data as a digital data source in turn, opens opportunities for communication scientists to be able to use that data to get the patterns and trends of human activities that have been done through social research. It is necessary to understand the basic concept of the Big Data, using appropriate tools and adequate access to the data, and appropriate research method in order to be able to conduct research by using such digital data. This paper aims to describe the potential of Big Data for the purposes of communication research, the use of appropriate tools, techniques and methods and to identify potential research directions in the digital realm. Some limitations and critical issues related to the research validity, population and sample, as well as ethics in digital media research method were also discussed.

AbstractThis essay examines the tensions between participatory ethnographic research methods and newly emerging legal regimes of data protection and privacy. Drawing on the example of recent grant‐funded research in Mexico, the essay charts how the European Union's General Data Protection Regulation impedes the practices and ethos of participatory research in significant ways. In particular, new legal requirements about data collection, access and storage, and "the right to be forgotten," effectively preclude integrating community members into research planning or data collection. As countries around the world move toward more robust and comprehensive data protection and privacy laws, the issues raised in this essay are likely to become more pressing in many different research contexts in the future. [Mexico, data protection, participatory research, privacy laws].

This paper explores some of the issues that arise when one is dealing with data that has been produced by the researcher about their own experience. In particular, we are interested in exploring the ways that researchers can go about analyzing autobiographical data. Many researchers produce data that is autobiographical. Ethnographers produce field notes. Action Researchers often write about their own practice. Phenomenologists, sociologists and historians may write narratives that are autobiographical. There is a growing trend for researchers working in a range of settings to view themselves simultaneously being both a subject (or the subject) and a researcher. Data analysis techniques that work well when dealing with data about other people may not be as useful when one is working with one's own data. We will suggest a number of strategies that a researcher can employ to analyze such data including collaborative analysis, forms of grounded theory and alternative forms of representation such as poetry, art and drama. We will also discuss the use of frameworks such as particular psychodynamic theories, feminist theories and critical theories as ways of gaining additional insight from the analysis of the researcher's biographical writings.

1. A research agenda for international business and management: The promises and prospects of thinking outside the box / Mike Geppert and Ödül Bozkurt -- Part I. Revisiting core IB/M theories -- 2. Do we need a theory of externalisation? / Roger Strange -- 3. Behavioural theory and MNE decision-making: Changing the narrative in international business management / Giulio Nardella, Rajneesh Narula and Irina Surdu -- 4. Outward investment from emerging markets: Time for a paradigm shift? / Suma Athreye -- Part II. Changing roles of nation-states and MNEs -- 5. The role of the home country in international business and management research: State of the art and future research directions / Florian Becker-Ritterspach and Khaled Fourati -- 6. The diplomatic imperative: MNEs as international actors / Brent Burmester -- Part III. International management, power relations and ideology -- 7. Treating ideology seriously in international business and management research: A textual analysis of the global "self-management" fad / Leo McCann, Brian Wierman and Edward Granter -- 8. Emerging economy MNCs and their geopolitical embeddedness / Ursula Mense-Petermann -- Part IV. Theorizing and studying new phenomena in IB/M: crisis, slavery and methodology -- 9. Managing the unavoidable: New avenues for research on MNEs and societal crises / Verena Girschik and Jasper Hotho -- 10. Developing parameters for the occurrence of modern slavery: Towards an empirical validation of Crane's (2013) theory of modern slavery / Christoph Dörrenbächer and Lukas Ellermann -- 11. The future of international business research: Theorising on unfolding phenomena in a complex, dynamic world / Peter Zettinig and Niina Nummela -- Part V. Commentary -- 12. Commentary on fulfilling the future agenda in international business / Jonathan P. Doh -- Index.

About the Summit On September 14-15, 2011, The 2011 Canadian Research Data Summit brings together 100-150 senior researchers, high level policy makers, university administrators, and members of the private sector. Together, participants will work on formulating a shared strategy for addressing the challenges and opportunities for maximizing the benefits of our collective investment in research data in Canada. The Summit will act as a catalyst for the development of a made-inCanada approach for maximizing the availability and use of research data. About the Research Data Strategy Working Group The Research Data Strategy Working Group is a collaborative effort launched in 2008 to address the challenges and issues surrounding the access and preservation of data arising from Canadian research. This multi-disciplinary group of universities, institutes, libraries, operators of research infrastructure, granting agencies, governments, and individual researchers are united through a shared recognition of the pressing need to deal with Canadian data stewardship issues. Together, they are focussing on the necessary actions, next steps and leadership roles that researchers and institutions can take to ensure Canada's research data are accessible and usable for current and future generations of researchers.

Preface -- Earnings management research : culture incentives versus accounting standards constraints, some insights for future research / Lan Sun, University of New England, Australia -- Earnings management during the recent crisis : the role of government quality / Félix J. López Iturriaga and Nuria Reguera Alvarado, University of Valladolid, Valladolid, Spain, and others -- A synthesis and analysis of models measuring accrual based and real activities earnings management / Anna-Fani Constantatos, Dionysia Dionysiou and Ioannis Tsalavoutas, Deree College - The American College of Greece, Aghia Paraskevi Athens, Greece, and others -- Earnings management and corporate social responsibility as an entrenchment strategy : evidence for shareholder protection contexts / Jennifer Martínez-Ferrero and Isabel-María García-Sánchez, Multidisciplinary Institute for Enterprise (IME), University of Salamanca, Salamanca, Spain -- Index

This study seeks to understand how academic business valuation research influences business practice. It uses knowledge market theory to assess the efficacy of the evidence‐based solution to academic research relevance. Fifteen semi‐structured interviews were conducted with chartered business valuators in Canada. Interview transcripts were subjected to thematic analysis using QSR's NVivo software (QSR International, Cambridge, USA). The research findings revealed that academic research on business valuation is relevant to business valuation practitioners. The professional nature of the business valuation profession promotes evidence‐based management practices and encourages the use of academic literature in managerial decision making. Business valuation academics should not change the manner in which they publish scholarly articles. Instead, a solution to the academic relevanceproblem resides in having efficient market intermediaries in the form of knowledge translation mechanisms. Copyright © 2012 John Wiley & Sons, Ltd.

This special issue of Environmental Science and Policy presents the outcomes of the WETwin project (enhancing the role of wetlands in integrated water resources management for twinned river basins in EU, Africa and South-America in support of EU Water Initiatives), an international research project funded by the FP7 programme of the European Commission. The project aimed to improve wetland management by maximising benefits from wetland use while maintaining ecological health, using case studies from Europe, Africa and South America. In much of the less developed world, data on wetland functions, processes and values are scarce even while wetlands often provide a critical component of livelihoods. Management decisions on balancing competing demands for wetland use must often be made in the absence of comprehensive information. This paper introduces the approach developed and tested under WETwin to evaluate wetland management structures and solutions in datapoor contexts, summarising a conceptual framework which has evolved from seven very diverse case studies. A structured, modular approach was devised which combined multi-criteria analysis, trade-off analysis and vulnerability analysis, drawing on best available information, including quantitative modelling, qualitative ''expert opinion'', and local stakeholders' knowledge and values. The approach used in WETwin has three important strengths: it involves stakeholders at all stages of the decision process, it combines qualitative and quantitative data (and therefore allows inclusion of poorly known and potentially important system components) and finally, it provides a relatively simple and structured approach to evaluate wetland management interventions and integrate impact, feasibility and institutional assessments, vulnerability analysis and trade-off analysis. The overall conceptual framework developed for WETwin was found to be robust and transfer-able to different contexts.

Purpose
In qualitative research, it is recurrent to conduct data collection through interviews, which must be first transcribed for the data to be analyzed. Although there is a relationship between the stages of the interview and the data analysis, the link between them (i.e. the transcription) seems to be a neglected methodological procedure. This occurs because, in papers, it is generally reported that "the interviews were transcribed", without any details about the transcriptions conduction. From this methodological gap, this paper aims to discuss the relevance of detailing the methodological procedures adopted in the transcription in research reports in the management field.


Design/methodology/approach
This paper takes the form of a methodological essay.


Findings
The discussion focuses on the concepts of naturalized and denaturalized transcription, the relevance of adopting transcription norms and the need for reflexivity in conducting transcriptions – elements that must be explained in research reports to improve the methodological quality.


Practical implications
This paper explores methodological details that management students and researchers can adopt when performing transcriptions. Consequently, journal editors and reviewers will have more subsidies on the methodological quality employed in researches, which contributes to a better evaluation process.


Originality/value
This study demonstrates the relevance of a neglected methodological technique – transcription, which needs to be detailed in research reports, to contribute to the increase of methodological accuracy and to provide essential information to readers, allowing them to evaluate the rigor of the research. Thus, it is proposed that transcription should be considered a quality criterion in qualitative research.