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Organisations either keep spares for their own use, or‐for‐sale to other organisations. In either case, the ultimate need is to be able to replace worn or defective parts in operational machinery or equipment. In an economic sense, spares are kept to meet the needs of the situation in the cheapest way.

Overview All organisations are, in one sense or another, involved in operations; an activity implying transformation or transfer. The major portion of the body of knowledge concerning operations relates to production in manufacturing industry but, increasingly, similar problems are to be found confronting managers in service industry. It is only in the last decade or so that new technology, involving, in particular, the computer, has encouraged an integrated view to be taken of the total business. This has led to greater recognition being given to the strategic potential of the operations function. In order to provide greater insight into operations a number of classifications have been proposed. One of these, which places operations into categories termed factory, job shop, mass service and professional service, is examined. The elements of operations management are introduced under the headings of product, plant, process, procedures and people.

Key components of the logistics mix are described in an effort to create an understanding of the total logistics concept. Chapters include an introduction to logistics; the strategic role of logistics, customer service levels, channel relationships, facilities location, transport, inventory management, materials handling, interface with production, purchasing and materials management, estimating demand, order processing, systems performance, leadership and team building, business resource management.

The purpose of this paper is to develop an in-depth contextualized understanding of individual investors’ buying decision in Indian stock market. Specifically, it provides answers to: how do individual investors make buying decision in stock market; and how and when do biases set in during such decisions. The paper also brings forward some aspects of individual’s journey as an investor.

Given the exploratory nature of this study, the paper takes a step away from typically used variance approach and instead uses a process approach. The authors do in-depth one-on-one interview, where each respondent shares his/her lived experiences as an investor retrospectively. To understand buying decision, each respondent is asked to elaborate three significant buying transactions carried out by him/ her in stock market.

Socio-cultural factors are found to have significant influence in inducing respondents to enter market. “Safe” vs “Risky” mental account emerges as the prominent stock categorization done by Indian investors. Three building blocks, namely, Identification, Rationalization and Further Validation emerge as the building blocks that culminate into buying decision of individual investors. The biases are seen to play a dual role in such decisions; as Attention Boosters and Rationales.

This study, to the best of authors’ knowledge, is first of its kind which amalgamates behavioral biases with phenomenon such as attention and Rationalization, to understand “how” behavioral biases set in during buying decision of individual investors.

Changes in economic markets have made it necessary to understand the psychology of individual investors. Conducting effective studies on the decision of investors to buy stock in the stock market can be useful. Therefore, it is necessary to identify and prioritize the factors affecting the decision-making of investors to purchase shares of the stock exchange. The purpose of this study was to analyze causal relationships and to weight effective factors on individual investment to purchase shares of Tehran Stock Exchange.

The present study is applied research in the term of its purposes and a descriptive-survey one in the term of data gathering methods. The data required in this study was collected through library and field studies. The study population included 35 investment experts. In present study, multi-criteria decision-making techniques in type-2 fuzzy environments have been used to analyze the causal relationships and weighing the factors affecting individual investment in purchasing stock in the stock market.

In the study, 4 indicators and 20 sub-indicators influencing individual investors’ decision to purchase shares of Tehran Stock Exchange were selected based on the literature review in the field of investment in the stock exchange, as well as interviews with experts. Analyzing the opinions of experts showed that they have much paid attention to financial index compare to the economic, political and psychological indicators of the market in determining the priority of indicators. In analyzing sub-indicators, it was identified that Iranian investors pay special attention to economic and political developments, political news and international economic developments.

The present study has been carried out in Iran, and therefore, is geographically limited to Iran. In thematic terms, it is limited to effective factors of individual investments in Tehran Stock Exchange. The statistical population of present study was limited to investing experts in Tehran Stock Exchange. The difference in financial, economic, social and political conditions of individuals was another limitation of present study. The main consequences of research were the explanation of causes of investors’ higher attention to financial factors than economic, political and mental factors of market in buying stocks.

Given the uncertainty in the market status, using multi-criteria decision-making techniques in financial analysis can help decision-makers to make better decisions. In addition, it would be possible to take into account many variables that do not have a mathematical aspect but are important in decision-making and lead to increased decision-making satisfaction. The research initially analyzed causal relationships of determinants of individual investment on stock exchange for buying stocks through a type-2 fuzzy approach.

Colossal information is available in cyberspace from a variety of sources such as blogs, reviews, posts and feedback. The mentioned sources have helped in improving various business processes from product development to stock market development. This paper aims to transform this wealth of information in the online medium to economic wealth. Earlier approaches to investment decision-making are dominated by the analyst's recommendations. However, their credibility has been questioned for herding behavior, conflict of interest and favoring underwriter's firms. This study assumes that members of the online crowd who have been reliable, profitable and knowledgeable in the recent past will continue to be so soon.

The authors identify credible members as experts using multi-criteria decision-making tools. In this work, an alternative actionable investment strategy is proposed and demonstrated through a mock-up. The experimental prototype is divided into two phases: expert selection and investment.

The created portfolio is comparable and even profitable than several major global stock indices.

This work aims to benefit individual investors, investment managers and market onlookers.

This paper takes into account factors: the accuracy and trustworthiness of the sources of stock market recommendations. Earlier work in the area has focused solely intelligence of the analyst for the stock recommendation. To the best of the authors’ knowledge, this is the first time that the combined intelligence of the virtual investment communities has been considered to make stock market recommendations.

Reviews the scale and scope of existing survey‐based studies of manufacturing plants and discusses the contribution which the UK Best Factory Awards Database may be able to make. Outlines the process of selecting the winners, proposes a working model which relates performance and strategy, and presents some initial illustrative results from an analysis of the 1993 entrants. Briefly discusses the feedback information which entering plants receive for benchmarking performance. Presents initial research findings which relate to the concept of manufacturing plant focus and indicates an asymmetric relationship for focus concerned with make‐for‐stock versus make‐to‐order/assembly to order foci. The evidence supports the view that dilution of a make‐for‐stock policy has a negative impact on ex‐stock service level while dilution of a make‐to‐order policy does not appear to dilute due‐date performance.

The purpose of this study is to examine the role of financial and nonfinancial information in determining individual investor's investment decisions by analyzing the mediating effect of corporate reputation.

The approach of this study is deductive; therefore, the quantitative strategy is used for data collection. Primary data are collected from individual investors actively involved in stock trading at Pakistan Stock Exchange (PSX). Structural equation modeling is used to assess structural relationships.

The key findings of this study posit that financial and nonfinancial information positively influence an individual investor's investment decision. This study also provides empirical evidence confirming the mediating role of corporate reputation. Categorically, the findings indicate that financial and nonfinancial information remain significant to build perceived corporate reputation and influence investor's investment decisions.

he proposed model presents novel insight into the individual investor's investment decision in the context of Pakistan. The findings of this study remain robust for firms listed on the stock exchange and individual investors involved in stock trading. The results of this study are substantial to individual investor's and broker for making informed financial choices. Moreover, the firms listed on the PSX can use the findings to establish improved corporate reputation through reporting detailed financial and nonfinancial information.

Studies based on subjective measures in finance are lacking. This study contributes to the existing literature of behavioral finance by analyzing variations in investor's investment decisions explained by informational factors. The proposed model testifies the mediating role of corporate reputation in guiding investor's investment decisions, which has been overlooked by past studies. Therefore, this study seeks to fill this gap in the context of the PSX.

1. Introduction Victorian librarians saw the public library as a place where citizens could find material relating to their contemporary community — its health, finance, welfare and educational organisations; it would also be a depository for items relating to its past. By 1901 the Cambridge Free Library had taken so much care in this regard that “the historian of the future will find here all that he will need and that is as it should be”. But priorities changed within the library service. Within 50 years 60 per cent of that material had been dispersed and the remainder moved out of public view where it lay largely unused and unremembered. It had no place in the post‐war priorities of the public library service which had turned instead to “current information”, lists of societies, tourist information and the development of a general reference service concentrating on areas of comprehensiveness such as bus and train timetables from across the country. Today, community information and computer databases are the current information priorities, and although the unique, comprehensive local collection has been revived, invigorated and republicised, it remains an oddity, non‐conforming to the pre‐ordained management structure, an “albatross inheritance”.

A great deal of the work in the area of stock management is devoted to identifying optimum values for parameters such as order size, order frequency, safety stock, etc. This is particularly appropriate in manufacturing where a company's stock of raw materials is usually held in one place. As we move towards the retailing sector, however, there may be several points (warehouses and shops) at which inventories can be held. The problem then becomes one of moving available stock around the various alternative locations so as to maximise sales or minimise the likelihood of stock‐out. The emphasis has changed from a static situation of ordering to a dynamic one of stock movement. In this paper we describe a common retailing problem, particularly in fashion markets, of stock transfers between a given set of branches. Stock is required in those outlets where demand is likely to be high, but the number of physical transfers in a given time period must be within the capabilities of the available transport facilities. A simple model of forecasting and allocation is described which, for the company involved, resulted in reduced stock movement and provided satisfactory stock levels.