The interplay between stakeholders,resources and capabilities in climate change strategy: converting barriers into cooperation

This article investigates how organizations deal with drivers and barriers to the adoption of low‐carbon operational (LCO) practices and, accordingly, we propose a framework for relationships with stakeholders to guide organizations in orchestrating stakeholders, resources and capabilities to meet the challenges and opportunities arising from climate change. Data was collected through interviews with experts working within companies participating in the Carbon Disclosure Program and the Brazilian GHG Protocol Program. Our findings show that the level of willingness of stakeholders influences how companies select mechanisms to deal with drivers and barriers to LCO practices. Our results, qualified by stakeholder relationships theory and the natural resource‐based view, introduce an analytical approach called ‘mechanisms of responses’ to understand how organizations deal with drivers and barriers in the context of climate change in order to guide companies to adopt LCO practices, strengthen co‐operation with stakeholders and develop the required organizational capabilities.     

Reducing Brazilian greenhouse gas emissions: scenario simulations of targets and policies

This paper aims to evaluate the economic impacts of greenhouse gas emission reduction on the Brazilian economy. To this end, we developed an integrated input–output linear programming model for 2009 using the Supply and Use Tables and emissions data of the Brazilian Ministry of Science and Technology and Innovation. We simulated emissions targets for various potential scenarios in which the adopted policy design took account of sectoral composition in terms of emissions and available production technology. The results were directly affected by the high level of livestock emissions, counterbalancing this sector’s economic importance for Brazil. In the short term, sectoral emissions targets associated with taxation policy or emission permits could be developed in order to create private incentives to mitigate emissions. In this sense, the results also show that different sectoral targets may be able to balance environmental benefits with the possible economic losses incurred by such policies.     

A hybrid commodity price‐forecasting model applied to the sugar–alcohol sector

Accurate price forecasting for agricultural commodities can have significant decision‐making implications for suppliers, especially those of biofuels, where the agriculture and energy sectors intersect. Environmental pressures and high oil prices affect demand for biofuels and have reignited the discussion about effects on food prices. Suppliers in the sugar–alcohol sector need to decide the ideal proportion of ethanol and sugar to optimise their financial strategy. Prices can be affected by exogenous factors, such as exchange rates and interest rates, as well as non‐observable variables like the convenience yield, which is related to supply shortages. The literature generally uses two approaches: artificial neural networks (ANNs), which are recognised as being in the forefront of exogenous‐variable analysis, and stochastic models such as the Kalman filter, which is able to account for non‐observable variables. This article proposes a hybrid model for forecasting the prices of agricultural commodities that is built upon both approaches and is applied to forecast the price of sugar. The Kalman filter considers the structure of the stochastic process that describes the evolution of prices. Neural networks allow variables that can impact asset prices in an indirect, nonlinear way, what cannot be incorporated easily into traditional econometric models.     

Residents' perceptions of tourism impacts in Guimarães (Portugal): a cluster analysis

In this investigation, a cluster analysis was used to separate Guimarães (Portugal) residents into clusters according to their perceptions of the impacts of tourism development. This approach is uncommonly applied to Portugal data and is even rarer for world heritage sites. The world heritage designation is believed to make an area more attractive to tourists. The clustering procedure analysed 400 data observations from a Guimarães resident survey and revealed the existence of three clusters: the Sceptics, the Moderately Optimistic and the Enthusiasts. The results were consistent with the empirical literature's results, with the emergent nature of the destination found to be relevant. The fact that tourism is relatively recent in this destination has its major reflex in the devaluation by most of the residents of the negative impacts of tourism development.     

Four decades of negative word-of-mouth and negative electronic word-of-mouth: A morphological analysis

Customers voice their negative brand experiences to their family and friends in the form of negative word-of-mouth (NWOM). Web 2.0 enables the sharing of NWOM in electronic format on various social media sites, online customer review forums, and blogs, which is known as negative electronic word-of-mouth (NeWOM). Researchers need to study the spread of NWOM/NeWOM to prevent adverse consequences for companies and suggest an optimal response for its redressal. Existing literature review studies have focused on word-of-mouth (WOM) and electronic WOM (eWOM) and have considered both positive and negative WOM and eWOM concurrently. Past literature reviews have captured the breadth of the WOM domain, ignoring the depth. This research article contains a review of 282 journal papers capturing the depth of the extant literature by focusing solely on ‘negative’ WOM and eWOM (NWOM and NeWOM), and presents a broad view of the NWOM and NeWOM domains using morphological analysis (MA). This will help to conceptualize and categorize the existing state-of-the-art literature into broad dimensions and identify future research opportunities. The MA framework helps to bifurcate this literature into the following four dimensions: (i) nomenclature of NWOM and NeWOM, (ii) antecedents of NWOM/NeWOM, (iii) impacts of NWOM/NeWOM, and (iv) prevention and recovery response to NeWOM. Further dissection of these four dimensions leads to 15 sub-dimensions and 217 variants. Combinations of the 217 variants enable the identification of 550 novel future research opportunities in the area of NWOM and NeWOM.     

Understanding travel expenditure by means of market segmentation

Consolidated tourism destinations should expand their market share by focusing on tourism spending instead of number of travellers. This strategy emphasises satisfying the preferences and needs of tourists more dynamically in terms of their expenditure patterns. The purpose of this paper consists of evaluating the usefulness of an expenditure-based segmentation as a relevant instrument of tourism policy in order to increase the economic benefits from travellers to Andalusia. More specifically, by means of decision trees and linear regression statistical techniques, heavy spenders are identified as well as exploring which variables might be considered as the best predictors of travel expenditure. Finally, the implications of the results are discussed, as they may provide practical guidance for tourism practitioners at similar destinations.     

Contingency factors on the success of services for social integration and job placement schemes

The success of a strategy depends, to a large extent, on the contingency factors that condition the functioning of an organisation. This study presents empirical research to contrast the existence of a significant relationship between the implementation of a particular strategy (in this case, related to the management of job placement and social insertion schemes) and a set of given structural parameters or contingency factors, in particular, the organisational structure of the firm such as time with the firm, firm size, technology used and organisational culture. The empirical analysis is applied to the strategies used by local development and employment officers with regard to the management of job placement and social integration schemes.