Interpreting IS alignment: A multiple case study in professional organizations

This paper centers on the interpretation attributed by organizational members to the information systems (IS) alignment concept. Its objective is to study IS alignment in professional organizations. Specifically, it reports on an interpretive study conducted in five Chilean organizations; four professional and one entrepreneurial, of which two are private and three are public. The theoretical background of our study is derived from three IS strategic alignment conceptualizations: managerial, emergent and critical. These concepts formed our theoretical framework that guided data collection and analysis. The study centers on the meanings organizational members assigned to IS strategic alignment, as well as their views on the barriers that hinder achieving this level of organizational integration. The analysis results are summarized in seven hermeneutic themes that point out the different connotations the organizations assigned to IS alignment. The significance of the findings are summarized in four insights that formulate theoretical and practical implications. These insights refer to: (1) the difficulties of achieving alignment for professional organizations, particularly public ones, (2) the limitations these organizations have in being agile, (3) the rationale for acquiring technology and determining IT skills, and (4) the imperative meaning that CIOs attribute to IS alignment. The paper concludes with a reflection on the limitations and relevance of the research.     

A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks

The magnitude 7.0 earthquake that struck Haiti in January 2010 led to an unprecedented effort in collecting and providing geographical information in support of humanitarian aid. Although most of the compiled datasets and generated maps were able to provide specific and detailed information regarding the location of damaged buildings and road interruptions, none or little information was available to describe the accessibility—or otherwise—of the urban space. Here we try to offer an alternative method to define the urban accessibility landscape in the aftermath of earthquake damage, by combining simple graph theory concepts and GIS-based spatial analysis to assess how the urban space accessibility decreases when the road network is damaged.     

Is power more evenly balanced in poor households?

The structure of intra-household allocation is crucial to know whether a transfer from a rich household to a poor one translates into a transfer from a rich individual to a poor one. If rich households are more unequal than poor ones, then a progressive transfer among households reduces intra-household inequality, hence inequality among individuals. More specifically, two conditions have to be satisfied for extending Generalized Lorenz judgments from household level to individual one. The fraction of the couple's expenditures devoted to goods jointly consumed should decrease at the margin with the couple's income as well as the part of private expenditure devoted to the disadvantaged individual. This double concavity condition is non-parametrically tested on the French Household Expenditure Survey (2000). It is not rejected by the data and supports the view that power is more evenly distributed in poor households.     

A stochastic dominance approach to the measurement of discrimination

This note suggests a bridge between stochastic dominance (Rothschild and Stiglitz, 1970 [17], 1973 [18]), inequality measurement (Atkinson, 1970 [1]) and discrimination measurement (Gastwirth, 1975 [10]). Discrimination orderings are defined and illustrated through discrimination curves, in the same spirit as stochastic dominance analysis. The main result, which links the second order discrimination curve and the Gastwirth discrimination index, also generalizes the equivalence between Generalized Lorenz dominance and second order stochastic dominance.     

Infant-industry tariff protection with pressure groups

This paper analyzes the increasing tariff protection in the Spanish iron and steel industry over the first third of the 20th Century. Learning effects are explicitly included to model a dynamic game of trade liberalization. The government chooses the tariff level while firms decide how much to produce each period. Firms' production decisions determine their future cost levels. Assuming that learning reduces only fixed costs, the dynamic game may be solved in closed form, so that the optimality and time consistency of the actual policy can be evaluated. Furthermore, the model is used to measure the relative importance of producers and consumers on the government's equilibrium tariff strategy. The model is calibrated for year 1913 and it is shown that the existence of important, unexploited, dynamic economies of scale may have justified high tariff levels at that time. In addition the results also show that the Spanish iron and steel producers behaved more competitively than what is commonly assumed, and that the government's protection policy was not significantly conditioned by steel producers.     

HIGH‐ORDER SHORT‐TIME EXPANSIONS FOR ATM OPTION PRICES OF EXPONENTIAL LÉVY MODELS

The short‐time asymptotic behavior of option prices for a variety of models with jumps has received much attention in recent years. In this work, a novel second‐order approximation for at‐the‐money (ATM) option prices is derived for a large class of exponential Lévy models with or without Brownian component. The results hereafter shed new light on the connection between both the volatility of the continuous component and the jump parameters and the behavior of ATM option prices near expiration. In the presence of a Brownian component, the second‐order term, in time‐t, is of the form , with d₂ only depending on Y, the degree of jump activity, on σ, the volatility of the continuous component, and on an additional parameter controlling the intensity of the “small” jumps (regardless of their signs). This extends the well‐known result that the leading first‐order term is . In contrast, under a pure‐jump model, the dependence on Y and on the separate intensities of negative and positive small jumps are already reflected in the leading term, which is of the form . The second‐order term is shown to be of the form and, therefore, its order of decay turns out to be independent of Y. The asymptotic behavior of the corresponding Black–Scholes implied volatilities is also addressed. Our method of proof is based on an integral representation of the option price involving the tail probability of the log‐return process under the share measure and a suitable change of probability measure under which the pure‐jump component of the log‐return process becomes a Y‐stable process. Our approach is sufficiently general to cover a wide class of Lévy processes, which satisfy the latter property and whose Lévy density can be closely approximated by a stable density near the origin. Our numerical results show that the first‐order term typically exhibits rather poor performance and that the second‐order term can significantly improve the approximation's accuracy, particularly in the absence of a Brownian component.     

Institutional distance among country influences and environmental performance standardization in multinational enterprises

This research compares and contrasts the findings in Aguilera-Caracuel et al. (2013) with the outcomes of applying fuzzy-set qualitative comparative analysis (fsQCA) — a methodological strategy that gathers quantitative and qualitative information to explain complexity at the case level and generality across cases. Using the same sample of 128 multinational enterprises (MNEs) with headquarters and subsidiaries based in the USA, Canada, France, and Spain, we identify a set of relevant configurations of causes and conditions to explain environmental performance standardization. By avoiding separate treatments for each variable, which is typical in multiple regression analysis (MRA), we overcome prior limitations and propose a new way of understanding this phenomenon. In summary, our results significantly reinforce and complement the previous results.     

VRP revisited: The impact of behavioural costs in balancing standardisation and variety

The objective of this paper is to bring a new element to the academic (and industrial) debate concerning the optimum level of variety in component design in mass production companies. Many authors have explored the trade-off between functional and variety costs, and this could be considered as a well-acknowledged management issue, at least from an engineering perspective. Nevertheless, while defining the theoretically optimal level of component variety, there are other elements, more related to operators’ attitude or to operative conditions, which may intervene and prevent effective exploitation of the existing variety. These elements have been given scant attention in literature, while they may play a relevant role in real organisations.In this paper, we will present a case study and an analytic model for these “behavioural costs” in manufacturing environments, so as to show how the theoretically optimal amount of variety changes if one takes into account these aspects. Researchers (and practitioners) might leverage on this contribution in order to rejuvenate the Variety Reduction paradigm, and to increase their awareness in designing and managing mass production manufacturing processes.