Antecedents of Purchase Intention in the Online Context

The understanding of the determinant factors of customer purchase intention is necessary, and it is equally important to study the online purchase context, since this context is disseminated among customers. A theoretical model has been elaborated on and tested, considering the constructs of information quality, distrust, and perceived risk as antecedents of purchase intention, and aiming to analyze the relationship among these constructs in the online purchase context. A quantitative research study has been performed by means of the application of a survey. Multivariate statistics techniques have been applied for data analyses, including structural equation modeling. This study contributes to the evolution of the empirically tested concepts by providing a greater individual understanding of each construct presented in the theoretical model, as well as the relationship among them as determinants of purchase intention; the indication is that meaningful relationships were found which may impact greater profitability and, consequently, greater competition for online retailers.     

Organisational consequences of asymmetries in task dependence: the moderating role of HR practices

This study integrates recent advances in interdependence theory with the literature on commitment‐based HR practices. New research on interdependence theory suggests that differences, or asymmetries, in task dependence among organisational members can cause interests to diverge. Prior research has shown that this can negatively affect interpersonal relations, individual outcomes and team processes. However, these insights gained on the dyadic, individual and team levels of analysis have not yet been explored at the organisational level and, until now, no research had yet connected these advances in interdependence theory to the field of HRM research. Hence, the current study investigates (a) whether asymmetries in task dependence do (or do not) matter at the organisational level and affect organisational effectiveness, (b) why this relationship may work by assessing a key mediator, namely, trust climate and (c) if and how these relationships can be altered by commitment‐based HR practices. Our moderated‐mediation model was tested and fully supported by a multi‐source data set of 8,390 employees from 67 organisations.     

Does Inter‐jurisdictional Competition Engender a “Race to the Bottom”? A Meta‐Regression Analysis

A growing literature documents the existence of strategic political reactions to public expenditure between rival jurisdictions. These interactions can potentially create a downward expenditure spiral (“race to the bottom”) or a rising expenditure spiral (“race to the top”). However, in the course of identifying the existence of such interactions and ascertaining their underlying triggers, the empirical evidence has produced markedly heterogeneous findings. Most of this heterogeneity can be traced back to study design and institutional differences. This article contributes to the literature by applying meta‐regression analysis to quantify the magnitude of strategic inter‐jurisdictional expenditure interactions, controlling for study, and institutional characteristics. We find several robust results beyond confirming that jurisdictions do engage in strategic expenditure interactions, namely that strategic interactions: (i) are weakening over time, (ii) are stronger among municipalities than among higher levels of government, and (iii) appear to be more influenced from tax competition than yardstick competition, with capital controls and fiscal decentralization shaping the magnitude of fiscal interactions.     

Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.     

Enticing the Stork: Can we Evaluate Pro‐Natal Policies Before Having Children?

Aside from immigration, the only meaningful demographic lever available to policymakers attempting to moderate the rate of ageing is the birth rate. This article departs from previous analyses of pro‐natal policies by studying determinants of pro‐natal options ex ante, which represents an advantage for policymakers looking to craft policies with prior knowledge of whether or not a demographic policy will have a significant effect. Our multinomial regression model for a US sample involving college students shows that the preferred choice of pro‐natal incentive is dependent on gender, economic class, number of planned children and migrant status. We find that females are more likely than males to choose any pro‐natal incentive over no incentive. The highest odds for increasing planned number of children are for maternity leave and parental leave options. Respondents associating themselves with the poorest economic class are more likely to choose daycare or government grant as pro‐natal options.     

Looking into the abyss? Brazil at the mid-2010s

In 2015, the Brazilian economy was afflicted by a lethal combination of a falling level of activity and accelerating inflation. Expectations for 2016 are equally or even more adverse, since the effects of rising unemployment emerge only after a lag. The domestic debate has opposed analysts who believe the crisis is due exclusively to past policy mistakes to analysts who believe that all was well until the government decided to implement austerity policies in 2015. A closer examination of the evidence shows that in fact both reasons contributed to causing the crisis, but it also suggests that its depth has a more proximate cause in the political collapse of the federal government in 2015, which led Brazilian society to an impasse for which a solution is not yet in view.     

Ethical Codes in Sports Organizations: Classification Framework,Content Analysis,and the Influence of Content on Code Effectiveness

Although there is a growing body of research on social media, only few studies have considered organic products. Therefore, this study mapped the diffusion path of the social media resources for organic products in Mexico and South Korea through Twitter and compared the contents of tweets about organic products in terms of their semantic and hyperlink networks using webometric methods. The results indicate that for organic products, Koreans sent tweets much more frequently than Mexicans. Mexican tweets focused on basic food products in street markets, whereas Korean tweets highlighted promotions and firms, revealing the corporatist structure of its economy. In both cases, the findings support Twitter as a useful tool for Word-of-Mouth Communication on the online environment, among product consumers, and between consumers and enterprises.     

Orientation to sustainability and strategic positioning of destinations: an analysis of international tourism websites

The communication that Destination Management Organizations (DMOs) address to destination stakeholders plays a central role in attracting attention and resources for sustainable destination development and disclosing the efforts made to be a sustainable territory. There has been extensive analysis on the role of official tourism websites that addresses both DMO's internal and external stakeholders. However, less exploration is available on the relationship between the contents disclosed through tourism websites and the strategic positioning of the destination. This study empirically examines that link with a focus on ‘green/sustainable/responsible' travel. Results show a positive association between the orientation to sustainability in online communication and both sustainable regulation of the tourism sector and tourism development. In contrast, there is no significant association with destination size, tourism maturity and pricing policies.     

The political economy of pricing and capacity decisions for congestible local public goods in a federal state

This paper studies the political economy of pricing and investment for excludable and congestible public goods in a federal state. Although the model applies to many local congestible public facilities (such as libraries, museums and public swimming facilities), our main motivation is the problem of providing and pricing road infrastructure in federal states. The two-region model we develop allows for spill-overs between regions, it takes into account congestion, and it captures demand heterogeneity both between and within regions. Regional decisions are taken by majority voting; federal decisions are taken by a minimum winning coalition in a legislature of regionally elected representatives. We have the following results. First, when users form the majority in at least one region, decentralized decision making performs certainly better than centralized decision making if spill-overs are not too large. Centralized decisions may yield higher welfare than decentralization only if users have a large majority and the infrastructure in a given region is intensively used by both local and outside users. Second, if non-users form a majority in both regions, centralized decision making and decentralized decision making yield the same socially undesirable outcome, with prices that are much too high. Third, the performance of decentralized supply is strongly enhanced by local self-financing rules; this prevents potential exploitation of users within regions.