A collaborative evolutionary model: the self-organizing evolutionary process of urban–rural digital sharing system of social public resources

Journal of Economic Interaction and Coordination - Urban–rural digital sharing of social public resources (SPR) is related to the balanced allocation and efficient utilization of public...     

The role of villages in households’ poverty exit: evidence from a multilevel model for rural Vietnam

Vietnam experienced a dramatic drop in overall poverty during the 90s. However, the poverty reduction showed substantial variation across households, villages and regions. Using a multilevel model on panel data from the rural sample of the Vietnam Living Standard Measurement Survey we demonstrate the important role of villages in household poverty exit dynamics. We also show how an analysis of village-level random effects predictions can help targeting of policies to reduce poverty.     

Forecasting from others’ experience: Bayesian estimation of the generalized Bass model

We propose a Bayesian estimation procedure for the generalized Bass model that is used in product diffusion models. Our method forecasts product sales early based on previous similar markets; that is, we obtain pre-launch forecasts by analogy. We compare our forecasting proposal to traditional estimation approaches, and alternative new product diffusion specifications. We perform several simulation exercises, and use our method to forecast the sales of room air conditioners, BlackBerry handheld devices, and compressed natural gas. The results show that our Bayesian proposal provides better predictive performances than competing alternatives when little or no historical data are available, which is when sales projections are the most useful.     

Existence and transversality conditions for a general ‘unbounded-horizon’ model of the mining firm

This paper derives conditions under which optimal programs exist for a general model of the competitive or monopolistic mining firm. The model significantly extends and synthesizes previous formulations by including both resource extraction and discoveries of new reserves, with stock-dependent resource exploitation costs and incomplete resource exhaustion, endogenous technical innovation, and state-dependent resource demand. In addition, the analysis addresses complications arising from having optimal programs defined over an ‘unbounded horizon’, with the possibility of either a finite or infinite terminal time and a non-zero terminal (‘salvage’) valuation if the terminal time is finite. The necessity of the infinite-horizon transversality conditions also is established. The paper illustrates a strongly intuitive approach to existence questions for infinite-horizon or unbounded-horizon control problems, with weaker concavity and interiority assumptions than are often encountered in the literature.     

‘Escaping to the gallery’: understanding the motivations of visitors to galleries

• Whilst market research and academic studies by sociologists have identified the personal and socio-cultural factors that influence visits to galleries, there has been less attention to the area of motivational research. Understanding motivations is important as it reveals the underlying reasons why visitors choose to participate in specific leisure activities. This paper focuses on the motivations of two groups of visitors at events at an art gallery. A pre-tested motivational scale built around three factors, learning, social/family interaction and Escapism explained 71.5% of variance. Escapism explained 29.4% of that variance and was the core motivation. The findings of the research are important to both academics and practitioners as previously learning was thought to be the main motivation. This study should be replicated in other settings to evaluate whether gallery and museum managers need to re-consider the purpose, content and marketing of their programmes in a post-modern society.

Copyright © 2006 John Wiley & Sons, Ltd.     

Too dynamic to fail: empirical support for an autocatalytic model of Minsky’s financial instability hypothesis

Solomon and Golo (Account Econ Law 3(3):167–260, 2013) have recently proposed an autocatalytic (self-reinforcing) feedback model which couples a macroscopic system parameter (the interest rate), a microscopic parameter that measures the distribution of the states of the individual agents (the number of firms in financial difficulty) and a peer-to-peer network effect (contagion across supply chain financing). In this model, each financial agent is characterized by its resilience to the interest rate. Above a certain rate the interest due on the firm’s financial costs exceeds its earnings and the firm becomes susceptible to failure (ponzi). For the interest rate levels under a certain threshold level, the firm loans are smaller then its earnings and the firm becomes ‘hedge.’ In this paper, we fit the historical data (2002–2009) on interest rate data into our model, in order to predict the number of the ponzi firms. We compare the prediction with the data taken from a large panel of Italian firms over a period of 9 years. We then use trade credit linkages to discuss the connection between the ponzi density and the network percolation. We find that the ‘top-down’–‘bottom-up’ positive feedback loop accounts for most of the Minsky crisis accelerator dynamics. The peer-to-peer ponzi companies contagion becomes significant only in the last stage of the crisis when the ponzi density is above a critical value. Moreover the ponzi contagion is limited only to the companies that were not dynamic enough to substitute their distressed clients with new ones. In this respect the data support a view in which the success of the economy depends on substituting the static ‘supply-network’ picture with an interacting dynamic agents one.     

‘Types’ of private family firms: an exploratory conceptual and empirical analysis

Family firms that can leverage entrepreneurial experience and knowledge can shape local economic development. Practitioners concerned with fostering enterprise sustainability need to be aware that family firms cite contrasting goals, resource profiles and requirements. Family firms are not a homogeneous entity. The ‘targeting’ of support to ‘types’ of family firms could enable practitioners to satisfy their wealth creation and social inclusion objectives. To stimulate increased critical reflection, insights from agency and stewardship theories were drawn upon to illustrate six conceptualized ‘types’ of private firms based on company ownership and management structures as well as company objectives. Cross-sectional survey evidence was gathered from key informants in family firms in the UK. An agglomerative hierarchical QUICK CLUSTER analysis identified seven empirical ‘types’ of family firms. Four out of the six conceptualized ‘types’ were validated by the exploratory empirical taxonomy. Implications for policy-makers and practitioners as well as researchers are discussed.     

Expatriates of host-country origin: ‘coming home to test the waters’

Expatriates are an integral part of any multinational company's (MNC) staffing strategy. However, the high failure rate of expatriates has forced these firms to look at alternate or complementary staffing strategies. This paper focuses on one such strategy, i.e., transferring people of host-country ethnic origin from parent-country to manage host-country operations. The purpose of this exploratory study is to ascertain whether and how MNCs have used expatriates of host-country origin (EHCO) as a global staffing strategy, in the context of India, and the extent of its success both for the individuals and the organizations concerned.

Based on a survey and in-depth interviews of human resource managers of 15 MNCs with operations in India, the study concludes that EHCOs are more willing to accept expatriate assignments than parent-country nationals (PCNs); however, their success on the assignment depends on the breadth and depth of their experience both in the parent and host country. With regard to their work effectiveness vis-à-vis PCNs, no significant difference was found. Managerial implications of this staffing strategy are explored and future research directions identified.     

Contesting Eco-Urbanism from Below: The Construction of ‘Zero-Waste Neighborhoods’ in Chinese Cities

How should we understand the recent rapid spread of eco-urbanism around the world and its move into the mainstream? This understanding has become increasingly dominated by narratives of the urban sustainability fix, which stresses the logic of capital accumulation. Within the broader structural processes of ecological modernization, such as transitioning to low-carbon growth, consideration of—let alone interest in—the diversity of local politics that shapes the practice and forms of contestation of eco-urbanism has often been relegated to a position of secondary importance. Meanwhile, investigations of the relationship between the growth of climate governance and grassroots environmental activism often ignore space production as an underlying process of political-economic transformation. Drawing on a detailed case study of the prevalence of zero-waste neighborhood experiments in many Chinese cities, which have recently become obsessed with low-carbon growth, this article underscores the potential of grassroots activism to change the nature, dynamics and landscape of eco-urbanism significantly. On the basis of the intriguing evidence presented here, it calls for a new understanding of eco-urbanism: one which is more attentive to the diversity, heterogeneity and contextual sensitivity of urban change at the grassroots level.     

Letter to the Editor: ‘On Quantile-based Asymmetric Family of Distributions: Properties and Inference’

We show that the family of asymmetric distributions studied in a recent publication in the International Statistical Review is equivalent to the family of two-piece distributions. Moreover, we show that the location-scale asymmetric family proposed in that publication is non-identifiable (overparameterised), and it coincides with the family of two-piece distributions after removing the redundant parameters.     

Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England

The presence of outliers in the data has implications for stochastic frontier analysis, and indeed any performance analysis methodology, because they may lead to imprecise parameter estimates and, crucially, lead to an exaggerated spread of efficiency predictions. In this paper we replace the normal distribution for the noise term in the standard stochastic frontier model with a Student’s t distribution, which generalises the normal distribution by adding a shape parameter governing the degree of kurtosis. This has the advantages of introducing flexibility in the heaviness of the tails, which can be determined by the data, as well as containing the normal distribution as a limiting case, and we outline how to test against the standard model. Monte Carlo simulation results for the maximum simulated likelihood estimator confirm that the model recovers appropriate frontier and distributional parameter estimates under various values of the true shape parameter. The simulation results also indicate the influence of a phenomenon we term ‘wrong kurtosis’ in the case of small samples, which is analogous to the issue of ‘wrong skewness’ previously identified in the literature. We apply a Student’s t-half normal cost frontier to data for highways authorities in England, and this formulation is found to be preferred by statistical testing to the comparator normal-half normal cost frontier model. The model yields a significantly narrower range of efficiency predictions, which are non-monotonic at the tails of the residual distribution.

     

A new US definition of ‘Minority Business’: lessons from the first four years

The purpose of this paper is to discuss current definitional issues regarding minority business in the USA and the policy-oriented implications of these issues with regard to European ethnic minority enterprise.

After an introductory discussion of the concept of ‘minority business’ and related terminology, this paper then examines a major change in the definition of such businesses made by the National Minority Supplier Development Council (NMSDC), the principal link between large US corporations and the minority business community. In line with US government minority assistance programme requirements, a ‘minority business’ previously had to be at least 51% minority-owned. Under the new NMSDC policy, a firm can have as little as 30% minority ownership and still be eligible for corporate minority-targeted contracts. This paper explains this re-definition and discusses the experiences of the first four years of this new policy and the lessons and implications for the USA. The discussion is then extended to the European context – the rise of immigration and the related increase in ethnic minority business enterprises, the current nature of public policy toward such enterprises in terms of programmes and legislation, and the implications of the US experience for Europe. Finally, future issues with regard to European ethnic minority enterprise are raised, along with areas for future research focus.     

Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey-decision-making trial and evaluation laboratory-based approach

With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long-term relationship with their supply chain partners through sustainable collaboration. Among these, the supplier–manufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision-making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision-makers. Further, a grey-based decision-making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI ‘Information disclosure’ has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier–manufacturer relationship and achieving organizational and market competence.     

Erratum to: Fiscal decentralization and China’s provincial economic growth: a panel data analysis for China’s tax sharing system

Quality & Quantity -     

Use of typologies for ‘measuring’ self-identity change: methodological issues in longitudinal qualitative research

A microsociological research which traced the experience of 120 women (during five years of psychotherapy they undertook to resolve existential problems) used different typologies in the organisation of qualitative data. The major typology, of psychosocial identity was of importance not only in data-ordering, but also in appreciating the changes occurring to individuals during the psychotherapeutic process. The other two typologies were essentially of sensitising concepts but also represented structural social elements and broadened the microfocus to include features of four different therapies and therapeutic communities. This article discusses the methodological implications of this technical approach to ordering qualitative data, the actual research procedure used in the creation of the typologies and, in brief outline, their content.     

Response to the Letter to the Editor on ‘On Quantile-based Asymmetric Family of Distributions: Properties and Inference’

Rubio (2020) points out an identification problem for the four-parameter family of two-piece asymmetric densities introduced by Nassiri & Loris (2013). This implies that statistical inference for that family is problematic. Establishing probabilistic properties for this four-parameter family however still makes sense. For the three-parameter family, there is no identification problem. The main contribution in Gijbels et al. (2019a) is to provide asymptotic results for maximum likelihood and method-of-moments estimators for all members of the three-parameter quantile-based asymmetric family of distributions.     

Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals

Online physician reviews (OPRs), also known as electronic word of mouth, have become the primary source of information for patients while making health consultation decisions. However, different techniques to analyze these reviews by machines have not been frequently applied yet in this domain. In this study, a novel method for opinion mining is being proposed to fill the existing research gap, that is, a hybrid approach to sentic computing. This approach integrates artificial intelligence and semantic web techniques to implicitly analyze OPRs in order to evaluate patient perceptions of healthcare service quality. We develop our methodology by using the following three main tasks: (1) sentence-level topic spotting (a topic-analysis procedure) to extract major topics, (2) a sentic computing framework to perform concept-level sentiment analysis (polarity detection on the categorized sentences), and (3) root cause and strengths, weaknesses, opportunities, and threats (SWOT) analyses to identify SWOT for healthcare organizations. Analyses results of 47,499 OPRs from the UK-based website (Iwantgreatcare.org) show that the proposed hybrid approach has accurately classified concept words to their corresponding topics, and it has also outperformed the similar other methods of topic extraction in the healthcare domain. The results also indicate that the proposed approach can better contribute to the overall performance analyses for healthcare organizations, which could help practitioners in improving service-quality measures based on the real voices of patients. The proposed model also provides a theoretical basis for formulating quality measures for the healthcare sector.

     

‘They tell us after they've decided things’: A cross-country analysis of unions and digitalisation in retail

The role of trade unions in the social shaping of digital technologies is a vital question for research, public policy and social justice. This article draws on interviews with two unions in the grocery retail sector in the United Kingdom and Norway, and examines their involvement in technology decisions, and whether they can shape better outcomes for workers. By comparing a ‘neo-liberal’ economy and a ‘Nordic welfare state’, the article considers whether stronger institutional power and regulatory supports in Norway provide for greater influence in a sector regarded as challenging for unions. The findings indicate relatively few country differences and help shed light on the factors that enable and constrain unions’ role in digitalisation.     

Insider perspectives on growth: Implications for a nondichotomous understanding of ‘sustainable’ and conventional entrepreneurship

The aim of this paper is to offer an alternative to a priori theorising in research on firm-level growth and environmental sustainability. We outline an approach that combines John Shotter's phenomenology with post-hoc application of the Bourdieusian concepts of habitus, practices and social capital. This is illustrated empirically through a study conducted with a small group of Finnish entrepreneurs, which examines their lived experience of growth alongside its practical application in their ventures. The entrepreneurs' responses reveal holistic perspectives on growth that extend beyond the economic to incorporate personal commitments to norms of collectivity and well-being for themselves and others. The paper offers an exploratory but empirically grounded approach, arguing that a combination of insiders' perspectives and attention to the social embedding of economic activity challenge the dichotomous distinctions between sustainable and conventional entrepreneurship and reveal a degree of commonality that would not be evident via conventional categorisations on the basis of features such as business model type.