Core entrepreneurial competencies and their interdependencies: insights from a study of Irish and Iranian entrepreneurs,university students and academics

The purpose of this paper is to advance our understanding of core entrepreneurial competencies and their interdependencies. Developing entrepreneurial competencies is increasingly seen as important to foster entrepreneurship. Studies to date have highlighted different entrepreneurial competencies in the context of different sectors, regions and countries. However, there has been a lack of consensus in relation to the perceived relative importance of core entrepreneurial competences and their interdependencies among students, academic and entrepreneurs. Our paper focuses on two key questions: first, what are the core entrepreneurial competencies that need to be developed in educational contexts? Second, what are the interdependencies between these entrepreneurial competencies that need to be developed in educational contexts? Using a collective intelligence methodology a comparative study of Iran and Ireland was undertaken that involved three stakeholder groups of students, academics and entrepreneurs. This methodology was used to identify, rank, and structure entrepreneurial competencies considered important for university students. The results of the study indicated that productive thinking, motivation, interpersonal skills and leadership are core entrepreneurial competences that need to be developed in educational contexts. Findings also highlight critical interdependencies between entrepreneurial competencies and the relative influence of different competencies across groups and regions. We outline the implications of our findings for designing a curriculum for improving students’ entrepreneurial competencies.     

A mechanism design approach to allocating central government funds among regional development agencies

To allocate central government funds among regional development agencies, we look for mechanisms that satisfy three important criteria: efficiency, (individual and coalitional) strategy proofness (a.k.a. dominant strategy incentive compatibility), and fairness. We show that only a uniform mechanism satisfies all three. We also show that all efficient and strategy proof mechanisms must function by assigning budget sets to the agencies and letting them freely choose their optimal bundle. In choosing these budget sets, the agencies’ private information has to be taken into account in a particular way. The only way to additionally satisfy a weak fairness requirement (regions with identical preferences should be treated equally) is to assign all agencies the same budget set, as does the uniform mechanism. Finally and maybe more importantly, we show that the central government should not impose constraints on how much to fund an activity (e.g. by reserving some funds only for a particular activity): otherwise, there are no efficient, strategy proof and fair mechanisms, no matter how small these constraints are.     

An Integrated Approach to Internationalizing the Hospitality and Tourism Curriculum in the USA

SUMMARY

The hospitality and tourism industry in the USA is increasingly operating in a changing international business environment. Its customers and guests are international tourists and business travellers, its major employers are often multi-national corporations, and its employees are of multi-ethnic heritage. This paper examines the need for universities to take a coordinated approach in internationalizing their hospitality and tourism curriculum. Such an approach is needed to prepare students for the global work environment of the future. It presents and evaluates the various approaches that have been taken by institutions from around the world, in their efforts to internationalize their programs. The paper then examines the case of The Hotel Management School Leeuwarden, The Netherlands, which has taken an integrated approach to curriculum internationalization. Information in this paper is drawn from examples in the literature, as well as from the international experiences of the authors. Finally, this paper concludes with a model that can be used to design a fully integrated curriculum.     

Urbanisation,fiscal decentralisation and economic development: A time series evidence

Several empirical tests using Multiple Regression Analyses were conducted on several hypotheses using time series data obtained from the federal and state governments. The results of our analyses establish that the degree of fiscal decentralisation is dependent on intergovernmental transfers and states income per capita. However intergovernmental transfers were not dependent on expenditure decentralisationper se. The degree of urbanisation was found to be inversely related to fiscal decentralisation. The variable measuring the degree of openess was found not statistically significant as an explanatory variable for fiscal decentralisation. However, the share of agriculture was found significant in revenue decentralisation but loses its importance in expenditure decentralisation.The policy implications of the study are that: (i) There is need for the states to develop plans to increase their per capita income, improve their tax collection system, introduce new tax bases and reduce the high degree of free ridership in public goods and services exhibited by the urban population. (ii) The Federal Government should provide specific grants to state governments for urban development, because of the high per capita cost of public goods and services. (iii) The existing Revenue Allocation Act should be reviewed to reflect state government efforts in generating their own revenue from internal sources.     

Berry-Esséen rate in asymptotic normality for perturbed sample quantiles

In estimating quantiles with a sample of sizeN obtained from a distributionF, the perturbed sample quantiles based on a kernel functionk have been investigated by many authors. It is well known that their behaviour depends on the choices of “window-width”, sayw _N. Under suitable and reasonably mild assumptions onF andk, Ralescu and Sun (1993) have recently proven that lim _N→∞ N ^1/4w_N=0 is the necessary and sufficient condition for the asymptotic normality of the perturbed sample quantiles. In this paper, their rate of convergence is investigated. It turns out that the optimal Berry-Esséen rate ofO(N^?1/2) can be achieved by choosing the window-width suitably, sayw _N=O(N^?1/2). The obtained results, in addition to being explicit enough to verify the sufficient condition for the asymptotic normality, improve Ralescu's (1992) result of which the rate is of order (logN)N ^?1/2.     

Estimation in the first-order moving average model through the finite autoregressive approximation: Some asymptotic results

To estimate α in the model y_t = u_t+αu_t?1, we consider a proposal by Durbin (Biometrika, 1969). It consists in fitting an autoregression of order k to the data, and deriving from there an estimate α^. The probability limit and the variance of the limiting normal distribution of α^ are presented and discussed in detail, when the sample size T → ∞, but k remains fixed. The differences between the resulting values and those corresponding to the maximum likelihood estimator are exponentially decreasing functions of k. Several modifications of the estimator are discussed and found consistent, but asymptotically inefficient.     

Estimation in a disequilibrium model and the value of information

Suits' model of the watermelon market is reformulated as a disequilibrium model and the likelihood function is derived under various assumptions concerning the amount of available information. Such models are characterized by a min condition as in y_t = min(D_t, S_t) for an ordinary demand-supply model, where the observed quantity y_t is the smaller demand and supply. Varying amounts of information may be available depending on which variables are observed and on whether prior information is available for separating the sample into subsets for which D_t < S_t and conversely. The likelihood function corresponding to the least amount of prior information is shown to be unbounded without a certain variance ratio restriction. Computations are successfully carried out both with the original model and Monte Carlo experiments and the effect of different amounts of information on MSE's is analyzed.     

An assessment of China's joint prevention and control policy on sulfur dioxide emissions reduction: A spatial econometric analysis

Sulfur dioxide (SO₂) is a typical pollutant that affects human health, climate, and environmental and ecological conditions. China has been experiencing high concentrations of SO₂, particularly in urban areas, since the 1990s. In 2010, a “joint prevention and control” (JPC) policy was issued to address air pollution problems and strengthen the regulation of SO₂ emissions. This study aimed to describe the mitigation effects of this policy on SO₂ emissions in 116 Chinese cities from 2003 to 2017. We applied global and local Moran's I indices to confirm the presence of significant spatial autocorrelation in SO₂ emissions and constructed four spatial models to assess the effect of the JPC policy in reducing SO₂ emissions and its transmission mechanism. We found that the policy decreased SO₂ emissions by 1.89 × 10⁴ tons, SO₂ intensity by 1.70 tons per km², and SO₂ per capita of 158.49 tons per 10,000 people in each city, on average, all of which are significant changes. The empirical results also show that population growth, economic structure, and environmental protection significantly decrease SO₂ emissions. Finally, we recommended policies to encourage regional cooperation under the JPC policy, with the aim of promoting further reductions in SO₂ emissions.     

On the structure of moving average processes

This paper uses Hilbert space methods to develop a rigorous proof that the sum of two uncorrelated moving average processes of order q₁ and q₂ is an MA process of order q ≦ max (q₁, q₂). The methods establish the existence of suitable random shocks for the summed process, they illuminate relationships between the coefficients of such processes and their random shocks, and they provide means for proving that the random shocks of the summed processes are normal when the shocks of the underlying processes are normal. The role of the Wold decomposition is examined in terms of multiple representations of an MA process.     

Stochastic convex programming: Kuhn-Tucker conditions

Optimality criteria are derived for stochastic programs with convex objective and convex constraints. The problem consists in selecting x₁R^n₁ and so as to satisfy the constraints and minimize total expected cost, where σ is a probability measure. The (basic) Kuhn–Tucker conditions are obtained in terms of conditions on the existence of saddle points of a Lagrangian associated with the stochastic program. We also give an interpretation of these results in terms of equilibrium theory with particular emphasis on a nonstandard price system associated with the restriction that the (first stage) decision x₁ must be chosen independent of the random elements of the problem.     

The International Business Curriculum of the Future

SUMMARY

The purpose of this paper is to forecast how the international business curriculum will appear in the early 21st century using the ten major world trends predicted by Naisbitt and Aburdene (1990). It concludes by prophesizing that the international business curriculum of the future will: (1) have to appeal to more international students in U. S. schools, (2) include more course work in the arts, (3) include more coursework in ethics, (4) attempt to resolve the conflict between global lifestyles and national culturalism, (5) recognize that world-wide privatization will lead to less public support for higher education and hence greater efforts must be made to meet needs and wants of a diverse student body, (6) attend to the cultural needs of Pacific Rim students, (7) have to appeal to more international female students for whom special courses and services will be necessary, (8) address biotechnology problems as ethical and moral dilemmas, (9) provide coursework to prepare students to manage a world-wide religious revival, and (10) provide programs that recognize the individual over the collective.     

Accounting Students and Communication Apprehension: A Study of Spanish and UK Students

ABSTRACT

Accounting is about measuring and communicating. Accounting bodies and employers have expressed opinions, which have been supported by research results, advocating that greater emphasis is placed on the development of communication skills throughout the education and training of accountants. Consequently, an increasing number of accounting programmes now include communication skills as educational objectives or learning outcomes, and have integrated activities into the curriculum specifically to develop these skills. It is important to recognise that certain factors can severely restrict the development of communication skills; a major factor is communication apprehension. Research suggests that the existence of high levels of communication apprehension will make efforts to improve communication skills ineffective. Previous research findings indicate that accounting students have high levels of communication apprehension. This paper compares and contrasts the levels and profiles of communication apprehension exhibited by accounting students at the (UK University) and those at the (ESP University). The levels of communication apprehension are also compared with those of students from other disciplines at the same institutions. The results confirm the high levels of communication apprehension in European accounting students. There are notable differences between the two countries however in certain underlying factors.     

An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability

With the expansion of urbanization caused by the growth of population and industrial activities, the urban/city and suburban areas are facing a variety of environmental threats. Although more research and urban policy has advocated and practiced the development of green infrastructure (GI) to support urban sustainable environment, the evaluation framework for the development of GI for promoting environmental sustainability is still insufficient. Moreover, the Analytic Hierarchy Process (AHP) commonly applied in published literature, makes an unrealistic assumption of independent relationships among dimensions/criteria in decision making for satisfying the real-world problem. Therefore, the purpose of this study is to construct the evaluation framework, including four dimensions and related ten criteria, using a new hybrid-modified multiple attribute decision-making (MADM) model for developing and improving the GI for promoting environmental sustainability. This MADM model is combined with three different methodologies of MADM, including the Decision-Making Trial and Evaluation Laboratory (DEMATEL) for constructing the influential network relation map (INRM) to explore the complex influential inter-relationships and DEMATEL based on Analytic Network Process (DANP) for determining the influential weights with the VIse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for evaluating and presenting improvement strategies for six different GIs. The empirical study indicates that DEMATEL and DANP Results suggest that decision-makers should pay more attention to the improvement of Design (D₄) and Materials (D₂) in terms of dimensions when utilizing the GI to promote environmental sustainability. Because these dimensions are enhanced, Species (D₁) and Energy (D₃) will be improved in synchronization. From the perspective of criteria, five are key core criteria and need to be focused on first: increasing the green coverage rate (B₉), utilizing sustainable materials (B₄), using ecological engineering (B₈), shaping species biodiversity (B₁), and reducing energy consumption (B₅). Modified VIKOR reveals that “grass swales” are a comparatively better choice among six GIs for promoting environmental sustainability toward achieving the aspiration level. Therefore, this MADM model is beneficial to provide a more convincing assessment framework and improvement strategies for the development of GI for promoting environmental sustainability. As a result, these modified MADM models can be shown more conveniently and reasonably than traditional methods such as traditional AHP or ANP method.     

Graduates,Dropouts and Slow Finishers: The Effects of Credit Constraints on University Outcomes

The effect of credit constraints on university outcomes is studied. Credit constraints have a negative relationship with dropout, especially on lower achieving high school graduates. Credit constrained students with strong high school achievement are 13–15% more (less) likely to graduate (be slow finishers) relative to otherwise similar students who are potentially or unlikely constrained. Using competing risk analysis, we find dropout is most likely in the first year of study and falls over time for all students. After 3 years of study, the risk of dropout increases for students who are constrained suggesting constraints may eventually bind on these students.     

Computations for constrained linear models

The article presents an algorithm for linear regression computations subject to linear parametric equality constraints, linear parametric inequality constraints, or a mixture of the two. No rank conditions are imposed on the regression specification or the constraint specification. The algorithm requires a full Moore-Penrose g-inverse which entails extra computational effort relative to other orthonormalization type algorithms. In exchange, auxiliary statistical information is generated: feasibility of a set of constraints may be checked, estimability of a linear parametric function may be checked, and bias and variance may be decomposed by source.     

Factors affecting intercoder reliability: a Monte Carlo experiment

Although it has long been a consensus that intercoder reliability is crucial to the validity of a content analysis study, the choice among them has been debated. This study reviewed and empirically tested most popular intercoder reliability indices, aiming to find the most robust index against prevalence and rater bias, by empirically testing their relationships with response surface methodology through a Monte Carlo experiment. It was found that Maxwell’s R.E is superior to Krippendorff’s α, Scott’s π, Cohen’s κ, I _r of Perreault and Leigh, and Gwet’s AC ₁. More nuanced relationships among prevalence, sensitivity, specificity and the intercoder reliability indices were discovered through response surface plots. Both theoretical and practical implications were also discussed in the end.     

Steiner minimal trees and urban service networks

The optimal configuration of urban service networks has recently been shown to be a computationally difficult problem. However, there are efficient and effective techniques by which this optimal configuration of urban service networks can be approximated. In this paper, we analyze the L_p Steiner Network problem in the plane R² and demonstrate its applicability to the urban service network problem. We present a simple algorithm for estimating the L_p metric parameter for random points in the plane, then utilize it to find the L_p values for four different American cities. Finally, we apply the L_pSMT algorithm described within the text to one of the cities in order to demonstrate the effectiveness of our algorithm for determining optimal network configurations.     

Comparisons of aggregation procedures for interaction data: An illustration using a college student international flow table

Various approaches for developing regional schemes on the basis of geographic interaction data are discussed, using a 46 × 46 international flow table of college students as an example. The hierarchical clustering procedure employed by Masser and Brown to study movement data for London and Liverpool is compared with that utilized by Slater to analyze internal migration in several nations and is found to be more successful in the sense of explained interaction, a criterion Masser and Brown maximize in a stepwise—not necessarily optimal—manner. Slater's method, however, appears to be less subject to chaining—the sequential growth of a cluster— and more productive of distinct subgroups. It can also be interpreted as the fitting of a tree structure to a dissimilarity matrix. Both techniques are shown to yield highly significant functional regions, by comparing their results with those obtained through a large number of random partitionings of the 46 nations. The substantial value of the Ford-Fulkerson network flow algorithm in optimal partitioning and hierarchical clustering is discussed. This algorithm can also be used to define nodal in- and out-migration regions—i.e. collections of nations that have fewer people entering or leaving them as a whole than their nodal nations. To determine functional regions, the flow table is first doubly-standardized to have all row and column sums equal. Nodal regions—which cannot be hierarchically ordered—are found through study of the unadjusted flows themselves. Political, linguistic and geographic influences explain many of the international groupings obtained.     

Improved stein-rule estimator for regression problems

Stein-Rule estimator for regression problems has been studied by several authors including Sclove (1968) and others listed in Vinod's (1978) survey. Ullah and Ullah (1978) provide the expressions for the mean squared error (MSE) of a double k-class (KK) estimator with parameters k₁ and k₂. When k₂=1 the Stein-Rule estimator becomes a special case of KK and an optimal choice of k₁ is known. This paper explores optimal theoretical choice of k₁ and k₂. We note that negative choices of k₂ are permissible, and that thereis a large range of choices for K₁ and k₂ where the MSE of the Stein-Rule estimator can be reduced for regression problems based on multicollinear data. A simulation experiment is included.     

The impact of public regulation on housing quality and on structural changes

This paper represents a theoretical investigation of profit maximizing behavior of a landlord under rent control. The situation envisioned is one that the landlord owns, free and clear, either two housing units ready to merge or one large one ready to convert into two small ones; in each case the units are already in place, such that capital costs are sunk and treated as bygones. Each unit has a technology of production of housing services with a fixed input of quantity of space (shelter) and a variable input of quality, that is affected by physical ageing (non-controllable) and by maintenance (controllable). At starting time t₀, we have a state of quality and a historical state of initial quality Q?_i, at the time the building was built, with the implicit constraint that Q_i(t) < Q?_i, for all t> t₀. The analysis addresses the general question of housing structural changes—conversion or merger—and how these changes are being accelerated under the threat of rent control.