Multilevel Approach to Sustainability Report Assurance Decisions

Using generalised linear mixed models as a statistical tool, this paper analyses the factors that explain the decision of a company to assure their sustainability report and of the choice of a Big 4 auditor as assuror. Specifically, we investigate the variables that affect the two dependent variables, existence of assurance and the profile of the assuror, at two different levels: the characteristics of the reporting company, and the country in which the company is located. Previous literature has explained this relationship as the result of linear regression models, considering only the fixed effects of the factors. Taking into account random effects, we are able to arrive at more precise conclusions on the effect of country (legal tradition and European membership) and company variables (size, public or non‐public, industry and integrated reporting), on the existence of assurance and the profile of the assuror.     

Adjustment of Input–Output Tables from Two Initial Matrices

The compilation of the information required to construct survey-based input–output (I–O) tables consumes resources and time to statistical agencies. Consequently, a number of non-survey techniques have been developed in the last decades to estimate I–O tables. These techniques usually depart from observable information on the row and column margins, and then the cells of the matrix are adjusted using as a priori information a matrix from a past period (updating) or an I–O table from the same time period (regionalization). This paper proposes the use of a composite cross-entropy approach that allows for introducing both types of a priori information. The suggested methodology is suitable to be applied only to matrices with semi-positive interior cells and margins. Numerical simulations and an empirical application are carried out, where an I–O table for the Euro Area is estimated with this method and the result is compared with the traditional projection techniques.     

Anti-consumption: An overview and research agenda

This introduction to the Journal of Business Research special issue on anti-consumption briefly defines and highlights the importance of anti-consumption research, provides an overview of the latest studies in the area, and suggests an agenda for future research on anti-consumption.     

The Role of Private Label Brands in Enhancing Service Satisfaction in the Hotel Industry: Comparing Luxury and Boutique Hotels

ABSTRACT

This research proposes private label branding as a strategy that can have a positive effect on guest satisfaction and loyalty in hotels that cater to travelers seeking a special hotel experience. We test this using a sample of guests in two hotels: a five-star luxury hotel (N = 225) and a boutique hotel (N = 101). Findings show that in the luxury hotel but not the boutique hotel, perception of a private label had a direct impact on loyalty, and an indirect impact on loyalty through its effect on guest satisfaction. The theoretical implications and recommendations for hoteliers based on the findings are discussed.     

AN EMPIRICAL MODEL OF LEARNING UNDER AMBIGUITY: THE CASE OF CLINICAL TRIALS*

This article presents a two‐dimensional structural model of learning under ambiguity in the context of clinical trials. Clinical trials offer an ideal environment to study learning under ambiguity. The randomization process found in these studies leaves patients uncertain to their actual group assignment. Therefore, patients cannot immediately attribute changes in health to the experimental drug. The article proposes the use of “learning instrumental variables” to simultaneously update patients’ beliefs of the treatment effect and group assignment. Patient learning is found to be faster when observable side effects are incorporated to account for the uncertainty in group assignment.     

Creating environmental knowledge through ‘green communities’ in the Spanish pharmaceutical industry

Using a knowledge-based perspective, the goal of this article is to demonstrate the relevance of environmental knowledge (EK) in the creation of customer capital (CC) and explore how organizations can create such a type of knowledge via ‘green communities’. We first describe the nature of such communities. We validate the relationships between CC and EK through an empirical investigation of 225 sellers (front-line contact people) in the Spanish pharmaceutical industry. This empirical study also suggests the development of ‘green’ communities, and shows how they can facilitate the emergence, retention, and transfer of the EK via customer relations.