The effects of internal resources and partnership quality on firm performance: An examination of Indian BPO providers

Firms from developed nations are increasingly resorting to business process outsourcing (BPO) as part of their global sourcing strategy. Although BPO is a growing practice, there has been limited empirical attention in understanding the phenomenon, particularly from the perspective of provider firms that execute important business processes for their overseas clients. In this paper we focus on the resources and capabilities that are utilized by the providers in fulfilling their clients' sourcing needs. Using resource-based view and social exchange as theoretical foundations, we argue that providers' human capital, organizational capital, management capability, and partnership quality are crucial assets that are deemed valuable by the clients and are utilized by the providers in attaining higher performance. Using a sample of Indian BPO providers, we empirically test three models (direct, mediating and moderating) to understand how these assets impact firm-level performance. Results show that resources and capabilities relate to performance in varying measures and partnership quality has partial-mediating and moderating effects on these relationships. We conclude by discussing the theoretical and practical implications of the study and highlighting avenues of future inquiry.     

Maximum likelihood approach to vote aggregation with variable probabilities

The Condorcet-Kemeny-Young statistical approach to vote aggregation is based on the assumption that voters have the same probability of comparing correctly two alternatives and that this probability is the same for any pair of alternatives. We relax the second part of this assumption by letting the probability of comparing correctly two alternatives be increasing with the distance between two alternatives in the allegedly true ranking. This leads to a rule in which the majority in favor of one alternative against another one is given a larger weight the larger the distance between the two alternatives in the true ranking, i.e., the larger the probability that the voters compare them correctly. This rule is not Condorcet consistent and does not satisfy local independence of irrelevant alternatives. Yet, it is anonymous, neutral, and paretian. It also appears that its performance in selecting the alternative most likely to be the best improves with the rate at which the probability increases.We would like to thank Michel Le Breton for his encouragement to examine this question and for his comments, as well as Philippe De Donder, Jean-Yves Duclos, Stephen Gordon, Cyril Téjédo and an anonymous referee for their comments.     

A New Multicriteria Risk Mapping Approach Based on a Multiattribute Frontier Concept

Invasive species risk maps provide broad guidance on where to allocate resources for pest monitoring and regulation, but they often present individual risk components (such as climatic suitability, host abundance, or introduction potential) as independent entities. These independent risk components are integrated using various multicriteria analysis techniques that typically require prior knowledge of the risk components’ importance. Such information is often nonexistent for many invasive pests. This study proposes a new approach for building integrated risk maps using the principle of a multiattribute efficient frontier and analyzing the partial order of elements of a risk map as distributed in multidimensional criteria space. The integrated risks are estimated as subsequent multiattribute frontiers in dimensions of individual risk criteria. We demonstrate the approach with the example of Agrilus biguttatus Fabricius, a high‐risk pest that may threaten North American oak forests in the near future. Drawing on U.S. and Canadian data, we compare the performance of the multiattribute ranking against a multicriteria linear weighted averaging technique in the presence of uncertainties, using the concept of robustness from info‐gap decision theory. The results show major geographic hotspots where the consideration of tradeoffs between multiple risk components changes integrated risk rankings. Both methods delineate similar geographical regions of high and low risks. Overall, aggregation based on a delineation of multiattribute efficient frontiers can be a useful tool to prioritize risks for anticipated invasive pests, which usually have an extremely poor prior knowledge base.     

Quality management and performance: a comparison between the UK and Turkey

Purpose: The aim of this article is to detail the correlation between quality management, specifically its tools and critical success factors, and performance in terms of primary operational and secondary organisational performances.

Design/methodology/approach: Survey data from the UK and Turkey were analysed using exploratory factor analyses, structural equation modelling and regression analysis.

Findings: The results show that quality management has a significant and positive impact on both primary and secondary performances; that Turkish and UK attitudes to quality management are similar; and that quality management is widely practised in manufacturing and service industries but has more statistical emphasis in the manufacturing sector. The main challenge for making quality management practice more effective lies in an appropriate balanced use of the different sorts of the tools and critical success factors.

Originality/value: This study takes a novel approach by: (i) exploring the relationship between primary operational and secondary organisational performances, (ii) using service and manufacturing data and (iii) making a cross-country comparison between the UK (a developed economy) and Turkey (a developing economy).

Limitations: Detailed contrast provided between only two countries.     

American Indian studies and its evolution in academia

This article traces the progression of American Indian Studies programs and the discipline's evolution in academia. Our research is divided into three sections. The first describes the era of the turbulent 1960s, when programs began and struggled to assert themselves as worthy of independent intellectual status. The second part focuses on American Indian studies programs' efforts to continue maturing as an interdisciplinary field of inquiry. This section includes a discussion of the evolving methods, theories, and concepts used for analysis and research concerning the diversity of American Indian cultures. There were certain structural, personnel, and curriculum problems which presented themselves along the road to academic maturity, some of which remain. The final section suggests characteristics necessary for an ideal American Indian studies program into the 21st century.     

Lean Production: Denial, Confirmation or Extension of Sociotechnical Systems Design?

This paper makes a comparison between the basicelements of lean production and sociotechnical systemsdesign (STSD) and compares them both with thecharacteristics of the traditional Fordist system of mass production. It argues that lean productioncan hardly be considered as an alternative to massproduction, as its proponents suggest, but is on thecontrary extending the life of mass production methods. However, lean production does appear to containsome building blocks for the innovative productionsystems that are expected to prevail in the 21stcentury. STSD, which has always presented itself as an alternative and possible successor to Fordistmethods, will need to link its traditional concerns forquality of work and flexibility of work organizationswith the new issues of continuous improvement, learning,and innovation.     

Global Trade Models and Economic Policy Analyses: Relevance,Risks and Repercussions for Africa

Computable general equilibrium models are widely used for trade policy analyses and recommendations. There is, however, increasing discomfort with the use of these models, especially in Africa. This article demonstrates that the results of several such studies of the impact of trade reforms in Africa differ drastically in terms of both magnitude and direction, failing to take account of key features of African economies. It also outlines potential consequences of the misuse of CGE models for policy evaluation and suggests pitfalls to be avoided.