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The purpose of this paper is to develop a framework for measuring retail productivity. It intends to identify all the constituents of retail productivity exhaustively, along with their measures and integrate them with a comprehensive model.

The paper summarizes the significant empirical works from the literature along with their study methods and identifies the gaps. The proposed methodology is a combination of various exploratory methods consisting of secondary data analysis, group interviews, depth interviews, observation and questionnaire survey.

A regression‐based conceptual model including each of the output and input variables of retail productivity. It also provides conception logic and measurement method for each of the variables. It identifies the control parameters too and proposes to handle them in the model. The empirical validation provides the significance of various input parameters.

The empirical validation is restricted to one retail format and one vertical (medium‐sized stores and apparel‐life style vertical). However, it provides significant input regarding the way to utilise retail productivity and the strategic directions to improve store level productivity.

The most significant usage of the model is the standardization of retail productivity concept as a performance measurement tool and its applicability in individual retail stores (micro level). Hence, it is possible to determine the reasons for performance of retail stores and develop appropriate as well as effective strategies. The identification and elaboration of the various parameters of retail productivity would help retailers to redefine and focus on key decision areas.

The paper presents the exhaustive framework for retail productivity with data from the Indian retail sector that is applicable at micro level. It provides direct measure of value component (services) in retail output determination.

The competition and regulatory economics literature has developed indicators that detect whether a vertically integrated provider (VIP) is engaging in market exclusion in the form of an anticompetitive price squeeze and non-price discrimination leading to sabotage of downstream competitors. Weisman integrates these indicators by developing a safe-harbor range within which a profit-maximizing VIP engages in neither form of market exclusion. Downstream retail competition that depends on the VIP’s inputs imposes upward pricing pressure on the downstream prices, with the amount of such pressure increasing as the downstream products become more homogeneous (closer substitutes). We analyze the implications of upward pricing pressure for antitrust evaluations of a duty to deal, regulatory policies mandating wholesale inputs for entrants, and vertical mergers. We find, for example, no basis to oppose a merger in which the VIP was previously required to supply inputs to rivals at unregulated prices.

The advent of the new retail era witnessed the consumers’ demand shift from on the traditional product quality to on the full supply chain service quality, and product service and service manufacturing is gradually taking shape. The purpose of this paper is to propose whether there is a “quality bridge” in the dynamic evolution process of retail service supply chain (RSSC) and discuss the system role, steady-state characteristics and dynamic evolution mechanism of service quality in this dynamic evolution process.

This paper proposes the dissipation system structure of the RSSC under the steady-state quality constraint, constructs a Markov chain model (MCM) for the evolution of the service quality of RSSC, and tests the objective existence of the steady-state distribution of the service quality by taking Chinese HJ retail enterprises as samples.

The research value of this study is summarized as follows. The research finds that the evolution of service quality of RSSC is a dynamic and non-linear growth process, which has significant characteristics of complex adaptability and steady-state convergence. The study finds that the quality evolution process of the RSSC is a steady-state convergence process, and there is a steady-state distribution of quality in its co-evolution, in which different process input levels have a significant positive impact on the stable level of quality state. The study finds that the steady state of quality plays a crucial role in the collaborative evolution of the RSSC, that is, when the service quality reaches a certain steady state distribution, the operating efficiency and profit level of the whole chain will show an “explosive” growth trend.

Quality bridge, an original concept in this paper, represents the role of quality steady-state in the operation of RSSC. Based on Markov chain and system simulation tools, this paper verifies the existence of steady-state service quality and its positive effect on the co-evolution and sustainable development of RSSC. When the service quality reaches a certain steady distribution, the operating efficiency and income level of the whole chain will show n trend of explosive growth.

Packed salads are popular in many countries of the world. The purpose of this paper is to assess the energy footprint of these products from farm gate to retail gate, compared with unpacked produces distributed by retailers and farmers’ markets in Italy.

Life cycle assessment served as methodological background, even if the analysis was focused on direct and indirect energy consumption. Three supply chains were analysed: packed (P-S) and unpacked (U-S) sold in supermarkets, and unpacked produce sold locally (U-L). Energy inputs were accounted for processing, packaging, refrigeration, transport, and distribution. Data were collected from available literature and from interviews with key experts in the transformation, packaging, and retail sectors. Energy inputs were computed for 1 kg of finished edible product (kg_p).

Packed salads require an elevated energy input ranging from 16 to 37 MJ kg_p−1. Input energy is mostly required for packaging and refrigeration. By comparison, the U-L chain requires about one tenth of the energy (1.8-2.6 MJ.kg_p−1), but local sold produces attain the best performance with only 0.6-1.2 MJ.kg_p−1, since they do not need processing, refrigeration, and disposable packages. Packed products mainly rely on the availability of cheap fossil fuels and all the sector has significantly suffered after the oil shock of 2008. Increasing energy costs may lead the price of the commodity out of the market.

The paper addresses the subject of energy consumption in a popular sector of processed food to which at present little attention has been paid in the domain of food research.

There has been very little written discussion of how transactions should be valued in an input‐output table. Conventional wisdom, however, prefers the use of ‘basic’ prices (in which flows are valued net of distributive margins and net indirect taxes) and the first part of this paper explores the reasoning behind this approach.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The dependence of farmers on money lenders for agricultural credit despite the penetration of the formal financial sector with subsidized interest rates remains an economic puzzle. The purpose of this paper is to revisit the relationship between money lenders and farmers in the presence of trade-loan nexus.

The study provides a theoretical framework supported by empirical evidence. It uses primary survey data of farmers in a major potato producing district of West Bengal, India. For the empirical analysis, apart from descriptive statistics, the authors use a logit regression model to derive insights from some testable hypotheses.

The study finds that trade-loan nexus increases defaults on agricultural loans through two channels: first, by increasing loan requirement and repayment obligations through high input prices and interest rates, respectively; and second, by reducing income of farmers by setting low prices for the output.

The functioning of money lenders in rural areas, including their sources of finance and political control over local economy, and the existing social hierarchies in the rural context will have to be studied in detail to understand the complexities of the issue.

The findings of the study underline the need for policy initiatives to break the trade-loan nexus to reduce the dependence of farmers on money lenders.

The higher defaults help the money lender to sustain in the rural agricultural loan market as the formal sector becomes reluctant to lend in the presence of pervasive defaults.

The study is entirely original based on primary survey data of seven blocks of a major potato producing district in West Bengal, India. It could be the first such study on the subject. The findings are fresh and expected to contribute to development economics and agriculture finance literature and policy making.

The purpose of this study is to address three managerial issues in a retail network under a centralised regime, including resource allocation, expansion and downsizing. In particular, this study investigates how to optimise resource allocation across retailers and how to decide the optimal size of a retail network for an empirical case, where 27 retailers belong to an automobile parts supplier in Taiwan.

The centralised data envelopment analysis (DEA) approach is used to optimise resource allocation among retailers and to seek the possibility of either an expansion and/or downsizing for a retail network.

The case company knows the best way to (re)allocate its available resources and (re)arrange the outcome goals for its own retailers. The 27 retailers are assigned specific targets for input and output adjustments to become Pareto or technically efficient units. Besides, an experiment is designed to measure how changing the number of retailers affects the group efficiency of the retail network. To keep the current aggregated output level of the retail network, the centralised supplier needs at least 24 retailers. However, the retail network with 37 retailers can achieve maximal group efficiency.

Centralised resource allocation is an inherent feature of most supplier-retailer relationships, where the supplier is usually a central planner with the power to allocate available resources among its own retailers. To the best of our knowledge, this is the first study to assess retail performance under a centralised regime.