Towards a framework for the elicitation of dilemmas

This paper covers the main findings of the doctoral research that was concerned with seeking to extend aspects of dilemma theory. In professional practice, the Trompenaars Hampden-Turner Dilemma Reconciliation Process^TM is a vehicle delivering dilemma theory in application. It informs a manager or leader on how to explore the dilemmas they face, how to reconcile the tensions that result, and how to structure the action steps for implementing the reconciled solutions. This vehicle forms the professional practice of the author who seeks to bring more rigor to consulting practice and thereby also contribute to theory development in the domain. The critical review of dilemma theory reveals that previous authors are inconsistent and variously invalid in their use of the terms ‘dilemma theory,’ ‘dilemma methodology,’ ‘dilemma process,’ ‘dilemma reconciliation,’ etc., and therefore an attempt is made to resolve these inconsistencies by considering whether ‘dilemmaism’ at the meta-level might be positioned as a new paradigm of inquiry for (management) research that embodies ontological, epistemological, and methodical premises that frame an approach to the resolution of real world business problems in (multi) disciplinary; (multi) functional and (multi) cultural business environments. This research offers contributions to knowledge, professional practice and theory development from the exploration of the SPID model as a way to make the elicitation of dilemmas more rigorous and structured and in the broader context of exploring ‘dilemmaism’ as a new paradigm of inquiry.     

The establishment of a quality management system for the higher education industry

This study is based on the SERVQUAL model and the Plan-Do-Check-Action (P-D-C-A) cycle of TQM to establish a higher education quality management system. In this system, it includes ‘Plan’ and ‘Do’ dimensions to execute ten factors, each dimension complements with each other. The ‘Check’ dimension has four factors and the ‘Action’ dimension has three factors. Each execution factors of the quality management system could reduce the occurrence of five gaps in the SERVQUAL model and facilitate education providers to provide a better service quality. Education providers strengthen an education system by carefully planning and implementation of quality auditing and continuous improvement. The desired result of this study is to possess a more explicit framework for high education industry and provide a proper service for students.     

“Trilemmas”: Characterising the Japanese Concept of “amae” with a Three-Way Forced-Ranking Technique

A ‘trilemma’ procedure is introduced for collecting ‘dominance data’ (i.e. rankings of a set of items along a scale of relevance, preference, etc.). Trilemmas are three-way forced choices where the three items comprising each trilemma are selected on the basis of a multidimensional scaling solution (MDS) for the item set, ensuring that each choice is as stark and informative as possible. A questionnaire designed on this principle is easily understood and rapidly administered. The data are convenient to record and show less fluctuation among informants than existing techniques. We demonstrate the procedure with a set of 45 short generalisations about behaviour, designed for assessing child attachment. A three-dimensional ‘map’ of these items was obtained by applying MDS to multiple sets of similarity data. The same structure emerged from English-language and Japanese translations of the items. Thirty trilemmas based on this map were used to rank the items by degree of association with the Japanese concept of amae, characterising the concept in terms of its behavioural correlates.     

Transferability and Naturalistic Generalization: New Generalizability Concepts for Social Science or Old Wine in New Bottles?

Interpretative qualitative social science has attempted to distinguish itself from quantitative social science by rejecting traditional or ‘received’ notions of generalization. Traditional concepts of scientific generalization it is claimed are based on a misguided objectivism as to the mechanisms operating in the social world, and particularly the ability of statements to capture such mechanisms in any abstract sense. Instead they propose new versions of the generalizability concept e.g. ‘transferability’, which relies on the context dependent judgement of ‘fit’ between two or more cases instances made by a researcher. This paper argues that the transferability concept, as outlined and argued by interpretativist methodologists, is thoroughly coextensive with notions of generalizability formalized for natural science and naturalistic social science by philosophers and methodologists of science. Therefore, it may be concluded that the interpretativist claim to a break with received scientific traditions is a premature one, at least with regard to the issue of generalization.     

Measuring opinion distributions

In this study it will be argued that the perceived distribution of opinions among others is important for opinion research. Three different ways of measuring the perception of opinion distributions in survey research are compared: (a) by means of a questionwhat most people think about an issue, (b) by means of a questionhow many people are perceived to agree with an issue-statement, (c) by means of ‘line-production-boxes’, a special version ofmagnitude estimation. The results indicate that ‘line-production-boxes’ can improve data quality, but have also some drawbacks which will have to be dealt with. ‘Line-production-boxes’ give a wealth of information about individual differences in the forms of perceived opinion distributions. Although the normal distribution is used often, many other distribution forms are also used. The method of ‘line-production-boxes’ is compared with the method of estimating percentage points. Although high correlations suggest a good concurrent validity, some systematic differences do exist. New research directions are suggested.     

Political disagreement in the classroom: testing cultural theory through structured observation

The cultural theory pioneered by Dame Mary Douglas has been tested with a range of research methods, but it has not yet been made subject to a ‘structured observation’. This method has been developed in psychology and management studies, and is especially useful for testing cultural theory’s prediction that fatalistic, hierarchical, egalitarian, and individualistic ways of perceiving and justifying tend to emerge in group debates about pressing social and environmental issues. We present the results of a structured observation of this prediction. Groups of high school students (aged 17–19) were asked for their opinions concerning three to five ‘wicked’ (i.e., highly complex) problems, and to discuss how to resolve them. Each utterance was coded according to the rationalities proposed by cultural theory. The results confirm cultural theory’s hypothesis that all four specific ways of defining, perceiving and resolving a wicked problem emerge when a number of people debate such an issue. We also discuss how Douglas’ cultural theory can be further developed and tested. Finally, we use our study to outline how the method of structured observation can contribute to political culture research in general.     

GenD An Evolutionary System for Resampling in Survey Research

The paper is a preliminary research report and presents a method for generating new records using an evolutionary algorithm (close to but different from a genetic algorithm). This method, called Pseudo-Inverse Function (in short P-I Function), was designed and implemented at Semeion Research Centre (Rome). P-I Function is a method to generate new (virtual) data from a small set of observed data. P-I Function can be of aid when budget constraints limit the number of interviewees, or in case of a population that shows some sociologically interesting trait, but whose small size can seriously affect the reliability of estimates, or in case of secondary analysis on small samples. The applicative ground is given by research design with one or more dependent and a set of independent variables. The estimation of new cases takes place according to the maximization of a fitness function and outcomes a number as large as needed of ‘virtual’ cases, which reproduce the statistical traits of the original population. The algorithm used by P-I Function is known as Genetic Doping Algorithm (GenD), designed and implemented by Semeion Research Centre; among its features there is an innovative crossover procedure, which tends to select individuals with average fitness values, rather than those who show best values at each ‘generation’. A particularly thorough research design has been put on: (1) the observed sample is half-split to obtain a training and a testing set, which are analysed by means of a back propagation neural network; (2) testing is performed to find out how good the parameter estimates are; (3) a 10% sample is randomly extracted from the training set and used as a reduced training set; (4) on this narrow basis, GenD calculates the pseudo-inverse of the estimated parameter matrix; (5) ‘virtual’ data are tested against the testing data set (which has never been used for training). The algorithm has been proved on a particularly difficult ground, since the data set used as a basis for generating ‘virtual’ cases counts only 44 respondents, randomly sampled from a broader data set taken from the General Social Survey 2002. The major result is that networks trained on the ‘virtual’ resample show a model fit as good as the one of the observed data, though ‘virtual’ and observed data differ on some features. It can be seen that GenD ‘refills’ the joint distribution of the independent variables, conditioned by the dependent one. This paper is the result of deep collaboration among all authors. Cinzia Meraviglia wrote § 1, 3, 4, 6, 7 and 8; Giulia Massini wrote §5; Daria Croce performed some elaborations with neural networks and linear regression; Massimo Buscema wrote §2.     

Factor analysis of the Big Five Questionnaire using polychoric correlations in children

Although the Big Five Questionnaire for children (BFQ-C) (C. Barbaranelli et al., Manuale del BFQ-C. Big Five Questionnaire Children, O.S. Organizazioni, Firenze, 1998) is an ordinal scale, its dimensionality has often been studied using factor analysis with Pearson correlations. In contrast, the present study takes this ordinal metric into account and examines the dimensionality of the scale using factor analysis based on a matrix of polychoric correlations. The sample comprised 852 subjects (40.90% boys and 59.10% girls). As in previous studies the results obtained through exploratory factor analysis revealed a five-factor structure (extraversion, agreeableness, conscientiousness, emotional instability and openness). However, the results of the confirmatory factor analysis were consistent with both a four and five-factor structure, the former showing a slightly better fit and adequate theoretical interpretation. These data confirm the need for further research as to whether the factor ‘Openness’ should be maintained as an independent factor (five-factor model), or whether it would be best to omit it and distribute its items among the factors ‘Extraversion’ and ‘Conscientiousness’ (four-factor model).     

Explaining participation in off-the-books entrepreneurship in Ukraine: a gendered evaluation

Despite the growing recognition that many entrepreneurs conduct some or all of their trade off-the-books, few have evaluated whether there are variations in the rationales of men and women engaging in this shadow enterprise culture. Reporting face-to-face interviews with 331 entrepreneurs in Ukraine during 2005–06, of whom 90 per cent operated partially or wholly off-the-books, the finding is that women are largely ‘reluctant’ entrepreneurs and men more commonly chiefly ‘willing’ entrepreneurs, although both motives are normally co-present to differing degrees in entrepreneurs’ explanations and their relative importance changes over time. The paper concludes by discussing the implications for both further research and public policy.     

Revolution, evolution, or status quo? Guidelines for efficiency measurement in health care

This paper discusses ways forward in terms of making efficiency measurement in the area of health care more useful. Options are discussed in terms of the potential introduction of guidelines for the undertaking of studies in this area, in order to make them more useful to policy makers and those involved in service delivery. The process of introducing such guidelines is discussed using the example of the development of guidelines in economic evaluation of health technologies. This presents two alternative ways forward—‘revolution’, the establishment of a panel to establish initial guidelines, or ‘evolution’—the more gradual development of such guidelines over time. The third alternative of ‘status quo’, representing the current state of play, is seen as the base case scenario. It is concluded that although we are quite a way on in terms of techniques and publications, perhaps revolution, followed by evolution is the way forward.     

The cost of Corporate Social Responsibility: the case of the Community Reinvestment Act

A Data Envelopment Analysis (DEA) cost minimization model is employed to estimate the cost to thrift institutions of achieving a rating of ‘outstanding’ under the anti-redlining Community Reinvestment Act, which is viewed as an act of voluntary Corporate Social Responsibility (CSR). There is no difference in overall cost efficiency between ‘outstanding’ and minimally compliant ‘satisfactory’ thrifts. However, the sources of cost inefficiency do differ, and an ‘outstanding’ rating involves annual extra cost of $6.547 million or, 1.2% of total costs. This added cost is the shadow price of CSR since it is not an explicit output or input in the DEA cost model. Before and after-tax rates of return are the same for the ‘outstanding’ and ‘satisfactory’ thrifts, which implies a recoupment of the extra cost. The findings are consistent with CSR as a management choice based on balancing marginal cost and marginal revenue. An incidental finding is that larger thrifts are less efficient.

Project management infrastructure: The key to operational performance improvement

Process improvement programs such as Six Sigma, Lean, and Lean Sigma are very important and deserve serious academic research attention. However, definition problems make it difficult to study any specific type of process improvement program. Therefore, this study defines two organizational level program management factors, Strategic Project Selection (SPS) and Project Management Infrastructure (PMI), that are independent of any specific process improvement program. Drawing upon current literature, this study develops and tests theoretical models that relate SPS and PMI to operational performance improvement and to each other. Using empirical data collected from 53 supplier plants of one large high-tech firm, this study finds that at the plant level, SPS mediates the relationship between PMI and operational performance improvement. This insight contributes to both theory development and practice, suggesting that a viable strategy for a process improvement program’s success is to focus on PMI in order to enhance SPS and ultimately improve performance. Not to be reproduced or quoted without written permission from the authors.     

Estimating regression coefficients from survey data by asymptotic design-cum-model based approach

Postulating a linear regression of a variable of interest on an auxiliary variable with values of the latter known for all units of a survey population, we consider appropriate ways of choosing a sample and estimating the regression parameters. Recalling Thomsen’s (1978) results on non-existence of ‘design-cum-model’ based minimum variance unbiased estimators of regression coefficients we apply Brewer’s (1979) ‘asymptotic’ analysis to derive ‘asymptotic-design-cummodel’ based optimal estimators assuming large population and sample sizes. A variance estimation procedure is also proposed.     

Equally important criteria and demanding aggregation

Within the class of weighted averages of ordered measurements on criteria of ‘equal importance’, we discuss aggregators that help assess to what extent ‘most’ criteria are satisfied, or a ‘good performance across the board’ is attained. All aggregators discussed are compromises between the simple mean and the very demanding minimum score. The weights of the aggregators are described in terms of the convex polytopes as induced by the characteristics of the aggregators, such as concavity. We take the barycentres of the polytopes as representative weights.     

A Resource-Centred Interpretation of Export Performance

Consistent with Mahoney and Pandian's (1992) vision of the resource-based view as the emergent language for conversations within strategic management, this paper has employed a resource-based framework in integrating and interpreting identified influences on export performance. Aggregate evidence suggests the critical importance of several resource-related factors, including having top management staff with relevant experiential, orientational and attitudinal resources; ‘co-locating’ within resource-supporting clusters; possessing organisational-wide capabilities in export-related knowledge development and planning, product innovation, and quality service delivery; and leveraging strategically-relevant resources embodied in external partners. The theoretical, managerial, policy, and future research implications of these findings are discussed.     

Order Effects in Batteries of Questions

Batteries of questions with identical response items are commonly used in survey research. This paper suggests that question order has the potential to cause systematic positive or negative bias on responses to all questions in a battery. Whilst question order effects have been studied for many decades, almost no attention has been given to this topic. The primary aim is to draw attention to this effect, to demonstrate its possible magnitude, and to discuss a range of mechanisms through which it might occur. These include satisficing, anchoring and cooperativeness. The effect seems apparent in the results of a recent survey. This was a survey of Emergency Department patients presenting to Wollongong Hospital (Australia) with apparently less urgent conditions in 2004. Two samples were taken. Question order was fixed in the first sample (n = 104; response rate RR2 = 94%), but randomised in the second sample (n = 46; response rate RR2 = 96%). Respondents were asked to indicate whether each of 18 reasons for presenting to the ED was a ‘very important reason’ a ‘moderately important reason’ or ‘not a reason’ The mean number of very important reasons selected was 56% higher in the first sample as compared to the second sample.     

Applying fuzzy quality function deployment (QFD) to identify solutions of service delivery system for port of Kaohsiung

The main purpose of this paper is to apply fuzzy quality function deployment (QFD) model to identify solutions of service delivery system (SDS) for port of Kaohsiung from the viewpoints of customers. At first, to facilitate the main issue of the QFD problem, however, the ‘what’ question of customer needs and ‘how’ problem of the services have to be made, which are two major components and be emphasized on the house of quality (HOQ) matrices. In conjunction with fuzzy sets theory, hence, the systematic procedures using fuzzy QFD were proposed in this paper. Subsequently, a case study for port of Kaohsiung demonstrated the systematic appraisal process for identifying solutions of SDS. The results of empirical study show that (1) 10 key factors are deemed as to have priority to improve the quality of SDS for Kaohsiung port; and (2) eight feasible solutions for improving service quality performance are identified. Moreover, it is suggested that port Authority of Kaohsiung should listen attentively the voice of customers and emphasize on exploiting these customer requirements effectively. And then develop the ‘how’ issues of profiles of solutions, which should continuously strengthen the perspectives of customer, internal business process, and learning and growth, respectively.     

Evaluating the Validity of Self-Reported Deviant Behavior Using Vignette Analyses

In this paper, the validity of vignette analyses of various forms of deviant behavior in the presence of opportunities is analyzed on the basis of ideas derived from cognitive psychology. Abelson’s Script Theory together with insights into human memory of visual and verbal information, allow the assumption that vignette analyses using visual stimuli are valid measures of deviant behavior in particular. The study includes an empirical examination of these ideas (n = 450). Nonparticipant observations and vignette analyses with visual and verbal material were carried out with regard to three forms of deviant behavior occurring in the presence of opportunities presenting themselves in everyday life. Observed and self-reported frequencies of deviant behavior or deviant intentions were counted and cross-tabulated. Log-linear analyses with dummy coding using observation data as reference category were run. Data analyses yielded the result that frequencies of deviant behavior were related to the techniques of data collection under consideration. Especially vignette analyses of the return of ‘lost letters’ that use both visual and verbal stimuli overestimate ‘actual’ (i.e. observed) return rates. This result is discussed with regard to the underlying methodological assumptions as well as its implications.     

Christmas cards,Easter bunnies,and Granger-causality

This paper takes a closer look at the conceptual grounds of the notion of causality in Granger’s sense. We start with the often jokingly made remark that ‘Christmas card sales Granger-cause Christmas’. Then, we extend the example to the more challenging case of chocolate Easter bunny sales and Easter. We show that any references to Granger-causality in these cases are due to the misinterpretation of the concept. Moving further on methodological grounds, we argue that the concept of Granger-causality calls for a multivariate framework of analysis. This is because taking all available relevant information into account is indeed required in Granger’s definition of causality. This is also in line with rational behaviour and learning under imperfect and incomplete information. The implications of employing a multivariate framework of analysis is discussed in terms of the additional insights it brings; namely, direct, indirect, and spurious cases of Granger-causality. Finally, we examine the semantics of the definition of causality in Granger’s sense.      

Text Analysis for Knowledge Graphs

The concept of knowledge graphs is introduced as a method to represent the state of the art in a specific scientific discipline. Next the text analysis part in the construction of such graphs is considered. Here the ‘translation’ from text to graph takes place. The method that is used here is compared to methods used in other approaches in which texts are analysed.