Valentina Carbone, Valérie Moatti, Tobias Schoenherr and Srinagesh Gavirneni
The purpose of this paper is to investigate to what extent dynamic capabilities (DCs) developed in the field of green supply chain management can foster social supply chain…
Abstract
Purpose
The purpose of this paper is to investigate to what extent dynamic capabilities (DCs) developed in the field of green supply chain management can foster social supply chain performance. In addition, the role of both human and stakeholder capital in enhancing this relationship is investigated.
Design/methodology/approach
Relying on the theoretical framework of the resource-based view, complemented with the DCs perspective, the authors hypothesize about the benefits of a firm’s environmental management capability for its social supply chain performance, as well as the moderating role of both human and stakeholder capital. Our contentions are tested through a multi-year database of socially responsible investments covering 1,177 multinational corporations.
Findings
The findings show that companies can sustain positive and superior social performance in their supply chain by leveraging DCs developed in the environmental field. This impact is further shown to be elevated in the presence of both human and stakeholder capital.
Research limitations/implications
This study represents a snapshot of the transformation process from environmentally to socially responsible supply chains. While the secondary data employed offers unique advantages, secondary data also have limitations.
Social implications
Developing environmental capabilities not only enhances companies’ profitability, but can also lead to better supply chains through improved labor conditions and well-being.
Originality/value
The authors’ shift from a company-centric to a sustainability-centric conceptualization of DCs can open up new opportunities to engage research, potentially leading to high-impact results in the field of sustainable supply chain management. In addition, the authors leverage a secondary data source not frequently utilized in prior work.
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Arvind Verma and Srinagesh Gavirneni
The purpose of this research is to develop a method for measuring police efficiency.
Abstract
Purpose
The purpose of this research is to develop a method for measuring police efficiency.
Design/methodology/approach
The design of this paper is to apply the technique of Data Envelopment Analysis (DEA), a comparative or relative efficiency measuring mechanism to police‐work‐related data from India. This application provides a rationale for identifying good performance practices. It helps in generating targets of performance, the optimum levels of operations, role models that inefficient departments can emulate and the extent to which improvements can be made over a period of time.
Findings
The paper measures the performances of State police units in India and the results suggest ways in which some State police departments can improve their overall efficiency.
Practical implications
The paper suggests ways in which the efficiency of any unit of criminal justice systems may be formulated and compared across different units of the system.
Originality/value
The value is that it introduces a new technique to police practitioners and researchers and demonstrates its efficacy by case analysis from India.