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The aim of this paper is twofold. First, clustering patterns of urban hotels are explored, and, second, clustering effects on performance for upscale urban hotels are estimated.

Local indicators of spatial association (LISA) were computed using geographic information system (GIS) techniques. Clustering for the entire population of hotels in Madrid was explored visualizing LISA statistics. Then, a system generalized method of moments regression was applied to test a set of hypotheses about the performance effects of LISA statistics for a sample of upscale urban hotels.

Two significantly distinct types of clusters are identified: dense “cold spots” or clusters containing many low-priced hotels and quiet “hot spots” or clusters only containing a few high-priced hotels. And, estimates confirmed two important results: evidence of adverse selection when clustering and evidence of positive location economies for upscale hotels.

This study has a number of relevant implications for making better hotel location decisions. Specifically, the paper shows the applicability of GIS to find statistically significant clustering in the data. In the hotel sector, knowing exactly where hotel clustering occurs and of what type is of vital importance.

This paper’s novel application of LISA based on GIS techniques for hotel clustering sheds light on the effects of clustering on performance to convey the subtle nuances of the relationship for upscale urban hotels.

The authors propose and test a theoretical framework that develops and analyzes precursors to firm acquisitions to determine if acquirers differ from other firms.

The authors use longitudinal, archival data from a sample of the largest firms in the global pharmaceutical industry from 1991 to 2012 with 1,327 firm-year observations.

The authors integrate prior research to show that the firm characteristics involving (1) R&D investment, (2) prior experience and (3) network centrality influence the likelihood that a firm will complete an acquisition.

In contrast to research focusing on the performance of acquiring firms, the authors show that firm characteristics predict acquisition activity by highlighting that acquiring firms differ from other firms. The authors also develop how network synergies can be realized by acquirers that have information advantages from more central network positions.

High-Performance Work Systems (HPWS) are viewed as strategic levers to a firm’s core competencies’ sustainability and continuous competitive advantage. The purpose of this paper is to explore what factors facilitate HPWS utilization, with a particular focus on the extent to which social capital (SC) derived from buyer-supplier relationships functions as a communication channel to spread effective HPWS implementation.

The authors propose a model of HPWS in which external SC not only favors the use of HPWS but also moderates the incidence of other common facilitators such as technology and flexibility. The study uses data from Spanish manufacturing industry.

Firms yielding external SC use HPWS more intensely, and the effect of technology constituents on HPWS utilization is contingent on SC accumulation. The findings are consistent with the existing HR literature on the subject but broaden its perspective by analyzing a specific pattern of SC and its pivotal role in the HPWS utilization process.

The cross-sectional nature of the database leaves open the possibility of causality relationship exploration between the variables of interest, which means that any causal interpretation should be cautious and properly motivated. The study is conducted in the Spanish manufacturing industry context, hence aims to generalize its results by explaining the logic behind the coexistence of HPWS and SC on a same conceptual level. This should be carefully treated and could be further strengthened by other country-level research. The approach does not consider the internal synergic mechanisms and the integration of HR practices.

The paper reveals the importance of inter-organizational SC in the Spanish manufacturing industry by showing how its embodiment in buyer-supplier relationships may allow firms to better understand the context in which HPWS are more likely to be useful.

The impact of social relationships on effective human resource management practices is highlighted.

The authors explore the factors that facilitate HPWS utilization, with a particular focus on the extent to which SC derived from buyer-supplier relationships functions as a communication channel to spread effective HPWS implementation.

This paper aims to identify the work‐based competences associated with better career prospects in the Spanish labour market.

The relationship between employee‐based competencies and employment prospects is investigated through the lens of the competence‐based approach. The partial least squares (PLS) methodology is applied on a sample of over 5,000 Spanish employees.

The analysis establishes that skill, motivation, participation in decision‐making and the performance of non‐routine and complex tasks are associated with more favourable career prospects. Finally, it has also been found that human capital dimensions valued by firms vary with occupation, as clear differences have been observed between white‐ and blue‐collar occupations. In particular, social skills and motivation appear to be more relevant for blue‐collar workers than for white‐collar workers.

For the first time, this paper analyses employees' career prospects using work‐based competences as predictors. Additionally, the analysis is based within a very uncertain labour market, Spain, where high unemployment and an extensive use of temporary contracts seriously hinder workers' career prospects.