Organizational ownership,competitive intensity,and firm performance: an empirical study of the Indian manufacturing sector

Emerging countries are using privatization as a key strategy in their drive to become free market economies. Although these ownership changes are rapidly gaining prominence, the academic literature has been equivocal about the performance benefits of private vs. state ownership. The lack of clarity in findings can be largely traced to the underspecification of the models that prior studies have examined. Specifically, prior studies have mostly ignored the central role of competitive rivalry. This paper proposes a model that centers around the interactive, inseparable effects of ownership and competitive rivalry on firm performance. Results of the empirical examination set in India show that competitive intensity moderates the relationship between ownership and performance. Copyright © 2001 John Wiley & Sons, Ltd.     

Unlocking the transformative potential of customer data in retailing

Retailers collect, process, and use large amounts of data about customers: what they buy, how they buy, when they buy – and when customer loyalty cards are used – who buys the product or service. The use of customer data within the customer relationship management (CRM) framework has largely remained one sided. The potential of customer data for the benefit of the customer’s well-being still needs to be addressed. Reverse use of customer data, i.e. the process of firms converting customer data into information that is meaningful for the customers, extends attention toward using customer data for the benefit of the customer. In addition, selling goods to customers retailers can revise customer data into relevant and meaningful information that can support their well-being. Consequently, the purpose of this study is to identify and illustrate the transformative potential of the reverse use of customer data in retailing. This is achieved by reviewing literature on CRM, S-D logic, and transformative consumer research, and conducting a case study of a food retailer using point-of-sale data to provide customers with information about the healthfulness of their food purchases. Anonymous customer feedback data is collected and analyzed, and as a result, the transformative potential of customer data is reflected through five themes: self-monitoring, enhanced diet, food literacy, peace of mind, and beyond food healthfulness. These themes illustrate customers’ well-being outcomes resulting from reverse use of customer data.     

THE RISK IMPLICATIONS OF FORECAST ERRORS OF BANK EARNINGS, 1976–1986

The forecast errors arising from security analysts' predictions of commercial bank earnings are investigated here and compared with the earnings forecast errors associated with savings and loans, other financial services organizations, and a random sample of nonfinancial firms from 1976 to 1986. Although bank earnings forecast errors did increase over 1976–1986, analyses suggest that the rise was less than at other industries considered in the study. The increase in forecast errors appears to be centered at multinational banking organizations, with only limited increases in earnings forecast errors at regional banks.     

When auction meets fixed price: a theoretical and empirical examination of buy-it-now auctions

Recently fixed pricing and auctions have been brought together in a new pricing format that offers bidders the option of prematurely ending an auction at a fixed price. The growing popularity of auctions presents an interesting pricing decision for managers: whether to sell at a fixed price, in a regular auction, or through a buy-it-now auction. This paper studies eBay’s buy-it-now auction and answers the following research questions: why is fixed price used at traditional auctions, will buy-it-now increase the seller’s profit, how is an optimal price determined, and how is the buy-it-now decision influenced by key factors such as the customer’s cost of participating in the auction, the seller’s reserve price, and the number of potential customers. Our results show that when customers make endogenous participation decisions according to their participation costs, buy-it-now auctions can increase both customers’ utility and sellers’ profit. Endogenous participation has important implications for seller’s pricing decisions such as price formats and levels. Depending on the level of the posted price, the resulting price format could be either fixed price, buy-it-now auction or pure auction. Therefore, the seller needs to be careful and take into account market conditions when posting a price at auctions. We empirically test the model assumptions and predictions using data collected from eBay.

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Foreign Investors, Foreign Directors and Corporate Diversification: An Empirical Examination of Large Manufacturing Companies in India

This study is among the first to systematically evaluate the role of foreign ownership (volume of ownership and board representation) on self-interested strategizing behavior of organizational managers. Building on agency theory, strategic management and organization theory literatures, it argues that the volume of foreign ownership is unlikely to have any bearing on the extent of unrelated diversification that managers pursue. However, the level of foreign representation on the board of directors is likely to dampen such strategies. Results from the empirical examination set in India provide support for this line of reasoning. Contributions, implications and future extensions are explored.     

Outsourcing logistics operations in circular economy towards to sustainable development goals

One of novel manners to achieve sustainable development is concentrating on circular economy in order to manage greenhouse gas emissions, energy consumption, and waste. It also helps to protect the environment and optimize usage of input resources. The main element of circular economy is closed-loop supply chain which covers both forward and reverse products flows. This study aims to outsource logistics operations in a closed-loop supply chain. An innovative analytical multi-step fuzzy decision-making method is proposed to rank sustainable third-party logistics service providers (3PLSPs). Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) is first used to evaluate the relationships among the main criteria. Then, fuzzy analytic network process (ANP) is applied to weight the determined set of criteria. In order to develop the hybrid fuzzy DEMATEL-ANP method and to simplify the computation, the expert judgment method is used between the two techniques as a middle step to reduce the number of criteria. As many of the criteria overlap with each other on content and context, expert opinions are used to shortlist and rank the criteria. Finally, the 3PLSPs are ranked through the fuzzy complex proportional assessment (COPRAS) method. To validate the practicability and applicability of the improved decision-making model, a household appliance case study is applied with data obtained from industry experts. In this case, five service providers are considered and ranked, while the first one gets the best score. A sensitivity analysis is performed by altering the criteria weights to validate the proposed approach, data, and the obtained results. In terms business and the environment, this study provides success critical criteria for decision-making problems in circular economy for addressing sustainable development.