Performance measures and metrics in outsourcing decisions: A review for research and applications

Gunasekaran, Angappa; Irani, Zahir; Choy, King Lun Tommy; Filippi, L.; Παπαδόπουλος, Θάνος

doi:10.1016/j.ijpe.2014.12.021

Cited by 163 publications

(135 citation statements)

References 122 publications

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“…Firstly, we reviewed the literature (Rowley and Slack, 2004;Chen et al, 2014;Gunasekaran et al, 2015) on sustainability, social sustainability, operations management, sustainable development and CSR. We conducted searches in ScienceDirect, Emerald Insight, Inderscience, and Taylor and Francis, based on their provision of a comprehensive coverage of high-ranked journals.…”

Section: Supply Chain Social Sustainability and Dimensionsmentioning

confidence: 99%

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Social sustainability in the supply chain: Construct development and measurement validation

Mani

Agarwal

Gunasekaran

et al. 2016

Ecological Indicators

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186

141

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Research on social sustainability in developing countries has recently gained importance for both academics and practitioners. Studies in the supply chain management field take either a supplier or a manufacturer perspective that address predominantly corporate social responsibility (CSR) issues referring to the internal stakeholders. Our research integrates the literature on supplier, manufacturer, and customer responsibility and proposes the concept of supply chain social sustainability (SCSS) that refers to addressing social issues within the overall (upstream and downstream) supply chain. Furthermore, we develop and empirically validate scales for measuring SCSS using in-depth interviews and a survey in the Indian manufacturing industry. Our results suggest that SCSS consists of six underlying dimensions, namely equity, safety, health and welfare, philanthropy, ethics, human rights, in a 20-item valid and reliable scale. We discuss the implications of the findings for research and practice and suggest future research avenues.

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Section: Supply Chain Social Sustainability and Dimensionsmentioning

confidence: 99%

“…Following Esposito and Evangelista (2014) and Gunasekaran et al (2015), we limited the search to peer-reviewed articles to maintain the level of quality. The review consisted of 36 articles; their full details are given in the reference section.…”

Section: Supply Chain Social Sustainability and Dimensionsmentioning

confidence: 99%

Social sustainability in the supply chain: Construct development and measurement validation

Mani

Agarwal

Gunasekaran

et al. 2016

Ecological Indicators

Self Cite

186

141

View full text Add to dashboard Cite

show abstract

“…Performance indicators are fundamental managerial tools for decision-making in organizations (Gunasekaran, Irani, Choy, Filippi, & Papadopoulos, 2015). In the past, financial indicators were largely considered in performance measurement systems (Yang, Chuang, & Huang, 2009); however, current performance measurement is based on both financial and non-financial indicators (PovedaBautista, Baptista, & García-Melón, 2012) due to its multidimensional structure (Gutierrez, Scavarda, Fiorencio, & Martins, 2015).…”

Section: Introductionmentioning

confidence: 99%

A decision support model for identification and prioritization of key performance indicators in the logistics industry

Küçükaltan

Irani

Aktaş

2016

Computers in Human Behavior

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Performance measurement of logistics companies is based upon various performance indicators. Yet, in the logistics industry, there are several vaguenesses, such as deciding on key indicators and determining interrelationships between performance indicators. In order to resolve these vaguenesses, this paper first presents the stakeholder-informed Balanced Scorecard (BSC) model, by incorporating financial (e.g. cost) and non-financial (e.g. social media) performance indicators, with a comprehensive approach as a response to the major shortcomings of the generic BSC regarding the negligence of different stakeholders. Subsequently, since the indicators are not independent of each other, a robust multi-criteria decision making technique, the Analytic Network Process (ANP) method is implemented to analyze the interrelationships. The integration of these two techniques provides a novel way to evaluate logistics performance indicators from logisticians' perspective. This is a matter that has not been addressed in the logistics industry to date, and as such remains a gap that needs to be investigated. Therefore, the proposed model identifies key performance indicators as well as various stakeholders in the logistics industry, and analyzes the interrelationships among the indicators by using the ANP. Consequently, the results show that educated employee (15.61%) is the most important indicator for the competitiveness of logistics companies.

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“…From the perspective of the authors of this paper, literature and industrial cases both have proven that there are good reasons for outsourcing, but the more important the interlinkage between product and production gets, the more difficult it gets to find an optimal balance in terms of quality performance [31], speed to innovate or time-to-market [30,32].…”

Section: Importance Of the Production Depth In Literaturementioning

confidence: 99%

Digitalization of automotive industry – scenarios for future manufacturing

2016

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-Among the current challenges to the global automotive industry are changes in global markets leading to product variety, regulation leading to pressure for new technologies in body and powertrain, and competition by new players such as huge information and communication technology companies. Automotive original equipment manufacturers (OEMs) deal with these issues in different ways. This paper uses the scenario technique to illustrate possible answers to the question, how future value chains of automotive industry will look like. In almost all cases, information and communication technology (ICT) plays a major role in future strategies to cope with the aforementioned challenges. On the one hand, ICT can boost the way to more efficient production of variants by utilizing smart manufacturing approaches, on the other hand ICT enables new features such as autonomous driving.

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Performance measures and metrics in outsourcing decisions: A review for research and applications

Cited by 163 publications

References 122 publications

Social sustainability in the supply chain: Construct development and measurement validation

Social sustainability in the supply chain: Construct development and measurement validation

A decision support model for identification and prioritization of key performance indicators in the logistics industry

Digitalization of automotive industry – scenarios for future manufacturing

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