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1 – 2 of 2The purpose of this paper is to determine the most efficient hotels in the Indian hotel industry, the competitive positioning of these hotels, and the factors that affect their…
Abstract
Purpose
The purpose of this paper is to determine the most efficient hotels in the Indian hotel industry, the competitive positioning of these hotels, and the factors that affect their efficiency change.
Design/methodology/approach
This study conducts a two-stage analysis and uses data envelopment analysis (DEA) and Global Malmquist productivity index (MPI) approach in the first stage to calculate the managerial performance of a panel of 63 Indian hotels in 2019–2020 and their efficiency change from 2009–2010 to 2019–2020. Bootstrapped generalized least square (GLS) approach is applied in the second stage to evaluate the impact of contextual variables on efficiency change.
Findings
Using the results of the first stage analysis, the authors categorized the 63 Indian hotels into 7 distinct clusters. These clusters represent different levels of competitiveness and pace of growth. The GLS regression reveals a U-shaped relationship between hotel size and efficiency change and a negative relationship between pro social investments and efficiency.
Originality/value
This is the first study in the hotel industry that has used global MPI as a measure of efficiency change in the first stage and GLS in the second stage. In the Indian context, to the best of authors’ knowledge, no such study exists.
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Keywords
Abderrahim Laachach and Younes Ettahri
Despite the innovation and performance of venture capital (VC)-backed firms receiving extensive attention, how and under what conditions VC influences innovation and performance…
Abstract
Purpose
Despite the innovation and performance of venture capital (VC)-backed firms receiving extensive attention, how and under what conditions VC influences innovation and performance remains unclear. The present paper draws on organizational learning (OL) theory to examine the moderating effect of syndication on backed firms.
Design/methodology/approach
Drawing on a literature review that connects OL and innovation to the performance of VC-backed firms, this study examines the effects of OL on innovation and firm performance among these firms by questioning the moderating effect of VC syndication. A sample of 78 VC-backed firms was used to test the robustness of the proposed model and causal relationships through the use of partial least squares structural equation modeling (PLS-SEM).
Findings
The empirical evidence demonstrates that the intervention of venture capitalists can not only stimulate innovation, but also have a significantly positive effect on firm performance. Furthermore, the evidence reveals that syndication of VC investment supports backed firms in improving the firms' performance and generating innovation from acquired knowledge.
Originality/value
To the best of the authors' knowledge, this study is the first in North Africa that focuses on the moderating effects of venture capital syndication on the relationships between OL, innovation and firm performance.
Details