Bridging “quality” and “quantity” in the study of criminal action

This article summarises the main findings of a study on the narrative construction of deviant actions which focused both on the contents and the structures of the narrative accounts provided by criminals. The research was conducted by collecting narrative interviews. These involved 34 individuals detained in two penal institutions in Rome. These accounts are typically constructed in a non-investigative context. Their exploration is mainly qualitative, but our aim here concern the quantitative sight of qualitative data and viceversa. The project was focused to find if there are any differences in the narrative accounts provided by different offenders, classified according to the type of crime they committed and their experience in the area of deviance. All interviews were analysed using a qualitative data analysis software and taking the “Evaluation model” as a reference. Participants were divided into three groups according to their criminal experience and into four groups according to the crime they committed. The results show that there are important differences in the way a crime is reconstructed by offenders with different criminal history. The paper also proposes solutions and innovative strategies to deal with quantification and qualitative data.     

Quantitative narrative analysis software options compared: PC-ACE and CAQDAS (ATLAS.ti, MAXqda, and NVivo)

This paper shows how to carry out quantitative narrative analysis (QNA) with different text analysis software (PC-ACE, Program for Computer-Assisted Coding of Events, and various CAQDAS programs, Computer-Assisted Qualitative Data Analysis Software: ATLAS.ti, MAXQDA, and NVivo). QNA is a methodological approach to narrative texts that exploits invariant properties of narrative (namely, a “story grammar”, based on actors, actions, and their attributes) to make a statistical analysis of words possible. In comparing PC-ACE and CAQDAS, the paper leads the reader through the steps involved in setting up a grammar, in data entry, and in data query. A careful comparison of limits and possibilities of the two types of software will allow the reader interested in QNA to make an informed choice between a full implementation of QNA in a specialized but unknown software (PC-ACE) and a limited implementation in any of the widely used and popular CAQDAS programs.     

“But we can't go back”

In 2004, a provincial cancer agency in Canada developed and implemented a provincewide Leadership Development Initiative (LDI) to enhance organizational leadership and relationships. Research using a quasi‐experimental survey design determined whether LDI implementation influenced the emotional health and leadership practices of LDI participants. An ethnographic approach (18 focus groups and 13 individual interviews) explored participants' perceptions of the LDI. This article presents qualitative findings that contribute to understanding the statistically significant findings of increasing levels of cynicism, emotional exhaustion, and burnout for most LDI participants. The LDI was regarded as a critical strategy for helping leaders grow and cope with change and help in changing organizational leadership culture to be more collaborative and inclusive. However, an organizational history of short‐lived, flavor‐of‐the‐month development initiatives and growing skepticism and disengagement by leaders represented in the themes of Catch‐22 and “there is no going back” contributes to understanding why these quantitative measures increased. Few studies have explored the hypothesis that real organizational development happens through a series of planned stages. In this study, leaders experienced escalating frustration because change was not seen to occur fast enough in “others” and reported that this was necessary before they would alter their own behavior. Leadership development programs in general need to reflect the reality that it takes considerable time, patience, and effort to effect fundamental change in leadership culture.     

Qualitative/quantitative integration in the inductive observational study of interactive behaviour: impact of recording and coding among predominating perspectives

A strong dichotomy has traditionally been established between qualitative and quantitative approaches. This question has been the subject of intense debate from a methodological point of view, and in recent years there are clear signs that the conflict is being overcome; nevertheless, we are still some way from a genuine position of complementarity and integration, and the issue remains to be considered in the process of theorization along the tortuous path that leads from the particular to the general. The proposal in this article takes a further step forward as regards this question, this time with respect to the study of interactive behaviour. The key is once again the consideration of a “complete unit” of analysis, but the logic of the observational methodology process enables the perspectives to be sequenced: the study begins with a predominantly qualitative approach before subjecting the data to a given type of recording (through the important support of field formats) and coding (preferably computerized), thus producing a matrix of formally interchangeable data; finally, the criterion is reversed and the study continues under a predominantly quantitative perspective.     

Developing a measurement approach for reputation of non‐profit organizations

• As a result of the increasing adoption of private sector firms' values and concepts, non‐profit organizations (NPOs) are becoming more and more aware of intangible assets' importance for achieving competitive advantages. Even though reputation can be considered an organization's central intangible asset, there is still no appropriate measurement approach for reputation in this context. In this paper, we identify the dimensions of NPO reputation and develop indices to measure these components. We develop a model by means of a qualitative inquiry and a quantitative study using a large‐scale sample from the German general public. We find support for a two‐dimensional measurement approach comprising an affective and cognitive component as well as four antecedent constructs (“quality,” “performance,” “organizational social responsibility (OSR),” and “attractiveness”). The results of a second quantitative study in which we examine NPO reputation's relationship with important outcome variables, such as willingness to donate or work as an honorary member, provide support for the measurement approach's stability as well as criterion validity. Furthermore, the results reveal the affective dimension's importance regarding positively influencing donor behavior.

Copyright © 2009 John Wiley & Sons, Ltd.     

A narrative networks approach to understanding coordination practices in emergency response

This paper examines coordination practices in emergency response by adopting a narrative networks approach (Pentland & Feldman, 2007). We apply this approach in the analysis of qualitative data collected in an empirical longitudinal study (2003–2006) of emergency response across a geographical region of Greece. We provide an in-depth narrative analysis of two different emergency incidents and the efforts to coordinate those. The paper concludes with the implications of using a narrative networks approach for understanding the temporal and situated nature of coordination, while placing emphasis on the performativity of coordination practices.     

A new dimension to content analysis: Exploring relationships among thematic categories

Conventional content analysis uses “hard-edged” categories for coding qualitative data (e.g., content themes), and this practice not only loses valuable information but also restricts the ways in which such data may be analyzed. This paper presents a procedure based on fuzzy set theory which extends content analysis by permitting the researcher to use fuzzy, or “blurred” categories for coding. These categories are allowed to overlap one another, thereby enabling the researcher to investigate overlap and inclusion relationships among thematic categories. The technique is briefly explained, and the bulk of the paper is devoted to a demonstration of its use in an applied research context. The final section discusses some extensions of this technique and its applications in exploratory data analysis.     

Discourse and Audience: Organizational Change as Multi-Story Process

abstract    This article is critical of monological research accounts that fail to accommodate polyvocal narratives of organizational change, calling for more fully informed case studies that combine elements of a narrative approach with processual/contextual analysis. We illustrate how contrasting versions of the same change event by different stakeholders and by the same stakeholder for different audiences, raise theoretical and methodological issues in the analysis and presentation of data on organizational change. Our argument is that research narratives (that seek to develop understanding of change processes) are necessarily selective and sieved through particular discourses that represent different ways of engaging in research. They are authored in a particular genre and written to influence target audiences who become active co-creators of meaning. Organizational change viewed from this perspective is a multi-story process, in which theoretical accounts and guides to practice are authored consistent with pre-selected narrative styles. These, in turn, are purposefully chosen to influence target audiences, but this subjective crafting is often hidden behind a cloak of putative objectivity in the written and oral presentations of academic research findings.     

Reversible Relationship between Quantitative and Qualitative Data in Self-Consciousness Research: A Normative Semiotic Model for the Phenomenological Dialogue between Data and Capta

The aim of this study was to explore modes of integration of quantitative and qualitative data to verify existence of psychological constructs. Data obtained with a Likert-type rating scale and with narrative accounts of significant life-events were compared and integrated via logical analysis to examine the psychological construct of self-consciousness. Undergraduates between 17 and 32 years of age (78 females and 23 males) participated. Psychometric analysis of the scale classified the subjects focus of self-consciousness (public and private) into three levels: high, average or low. Independent judges evaluated self-consciousness profiles from the narrative accounts. Analysis verified the compatibility between self-consciousness scale measurements and self-consciousness profiles on narrative accounts. The results illustrate possibilities for and limitations of such comparisons, and also suggest criteria for comparing the same phenomenon in different contexts. Guidelines for choice of instrumentation in gathering data for research and practice are also presented.     

What Makes a Good Cargo Bike Route? Perspectives from Users and Planners

Cargo bikes—bicycles made to carry both goods and people—are becoming increasingly common as an alternative to automobiles in urban areas. With a wider and heavier body, cargo bikes often face problems even in the presence of cycling infrastructure, thus limiting their possibilities of route choice. Infrastructure quality and the route choices of cyclists have been well studied, but often solely based on a quantitative approach, leading to tools such as BLOS (bicycle level of service). With various designs of cargo bikes being used for a wide range of purposes, the route choice of cargo bike users is difficult to generalize. This study combines quantitative and qualitative approaches in order to explore what is important for cargo bike users’ route choice, and how this knowledge can be effectively used for planning. Our results suggest that while some general preferences exist, route choice involves complex dynamics that cannot be fully explained by quantitative measures alone: in addition to understanding “what” is important for cargo bike users, we need to understand “why” it is important. Furthermore, route choice is also influenced by the city context, making a study tailored to the local context essential.     

The management of international development projects: Moving toward a standard approach or differentiation?

International cooperation supplies international aid to developing countries and emerging economies, typically through projects; to manage these projects, a specific approach based on the “project cycle” was introduced in 1970. In recent decades, many development agencies have adopted the project cycle, but they have also changed it over time, and today agencies work with different standards. In this article, the history of project management systems in international cooperation is reported, and the approaches adopted by five of the main worldwide governmental development agencies are compared. The analysis shows both the common aspects and differences in order to highlight limits and propose further research.     

Predicting failure risk using financial ratios: Quantile hazard model approach

This study examines the role of financial ratios in predicting companies’ default risk using the quantile hazard model (QHM) approach and compares its results to the discrete hazard model (DHM). We adopt the LASSO method to select essential predictors among the variables mentioned in the literature. We show the preeminence of our proposed QHM through the fact that it presents a different degree of financial ratios’ effect over various quantile levels. While DHM only confirms the aftermaths of “stock return volatilities” and “total liabilities” and the positive effects of “stock price”, “stock excess return”, and “profitability” on businesses, under high quantile levels QHM is able to supplement “cash and short-term investment to total assets”, “market capitalization”, and “current liabilities ratio” into the list of factors that influence a default. More interestingly, “cash and short-term investment to total assets” and “market capitalization” switch signs in high quantile levels, showing their different influence on companies with different risk levels. We also discover evidence for the distinction of default probability among different industrial sectors. Lastly, our proposed QHM empirically demonstrates improved out-of-sample forecasting performance.     

Sustainable development in small and medium enterprises: The role of entrepreneurial orientation in supply chain management

Organizations are under increased pressure to improve their sustainable performance through the adoption of green supply chain management (GSCM) practices. Small and medium enterprises (SMEs) have lagged behind larger corporations due to a number of factors. Chief among these factors is the lack of resources and capabilities. In this study, we investigate whether entrepreneurial orientation as a distinctive firm-level resource contributes to the successful implementation of GSCM practices within SMEs. We use primary data obtained from 316 manufacturing SMEs and analyze the data by using a fuzzy-set qualitative comparative analysis (fsQCA). Our findings show four equifinal configurations of GSCM practices and the components of entrepreneurial orientation (EO) that lead to high environmental performance. Two practices, “eco-design” and “internal environmental management”, are present in all configurations, with the latter being the single core condition. The components of EO are present in all the configurations. Three distinct configurations lead to the simultaneous achievement of high environmental performance and high economic performance. Some noticeable differences appear in these configurations: “internal environmental management” is no longer a core condition, instead external practices (“green purchasing,” “cooperation with customers including environmental requirements,” and “investment recovery”) and “risk-taking” become core conditions. We exptrapolate our findings into a set of propositions that expand theory on the link between entrepreneurial orientation and sustainable performance. Our study provides insights for managers who seek to infuse entrepreneurial thoughts and actions into their green supply chain initiatives.     

An Empirical Study of Schedule Delay Causes Based on Taiwan's Litigation Cases

Many uncertainties can cause construction projects to be delayed, resulting in conflicts between the two parties to a construction contract. Using case study and content analysis methodologies, this study analyzed 79 litigation cases in Taiwan to identify the main causes of schedule delays in construction projects, which are “change orders,” “changed scope of the work,” “delayed site handover,” and “weather.” In this study, these causes are organized into a causation model to provide a reference for preventing schedule delay. The employed approach can be implemented for assessments of other regions, as schedule delays are common features in most construction projects.     

Mixed strategies for improving data quality: the contribution of qualitative procedures to survey research

This article aims to illustrate how qualitative research strategies contribute to the implementation of the standard survey model by monitoring and improving the quality of collected data and thus the quality of survey findings as well. The methodological cycle for survey data-quality construction using qualitative strategies comprises three sequential stages that alternate with standard procedures: the pilot study, pretesting, and deviant case analysis. If the first two of these stages have enjoyed a certain recognition in the literature, the same cannot be said for deviant case analysis. Deviant case analysis is a research strategy originally proposed by Lazarsfeld and promoted within the Colombia School from the 1940s to the 1960s, unfortunately without subsequently receiving the attention it deserved within the area of survey research in general. It refers to searching outside the collected empirical base for clues concerning anomalous responses revealed by statistical analysis that either deviate from research hypotheses or produce contradictory classificatory results.     

The Effect of Follow-up Mailings on The Response Rate and Response Quality in Mail Surveys

Numerous experts have demonstrated that the increase in the number of contacts produces a “lengthening” of the field work, although this lag in the analysis of the data is “compensated” by the increase in the response rate that is achieved through this second, third, and successive “contacts”. However, can it be said that these interviewees respond with the same dedication as those who responded from the initial contact? Or could it be that they will try to respond “hastily” so as not to be “harassed” further? The aim of this study is to try to find some answers to these questions by giving the results of the first ever research carried out in Spain using the TDM of Dillman in mail surveys.     

Exploring the relationship between technology diffusion and new material diffusion: the example of advanced ceramic powders

New technologies have been recognized as key drivers for corporate profitability and growth in today's fast changing environments, especially in new materials field. However, little has been done in discussing the technology diffusion on the topic of new materials. In this study, we investigate the diffusion of advanced ceramic powders technology using patent citation data. We also adopt the sales data of the advanced ceramic powders for measuring the new material diffusion. At last we analyze the relationship between “technology diffusion” and “material diffusion” through the Bass diffusion model. The results show that the diffusion of technology through patent citation could be successfully explained by empirical analysis for which the Bass diffusion model was adopted. Furthermore, we can find out if technology diffusion can be the leading indicator of a new material's diffusion before its launching which is before the commercialization of the patent.