Measuring image: shopping centre case studies

The first goal of the paper is to define the concept of micro-marketing, overcoming the 'specialized' perspectives and definitions that have prevailed so far. Micro-marketing relates to ways of controlling environment complexity, facilitated by information technology and required by highly competitive markets. Such control has three forms: segmentation , which reduces complexity to a controllable number of variables; organization , which absorbs a certain amount of complexity by modelling the structure onto the environment; technology , which explores complexity and dominates it through simplification. The second goal is to demonstrate that micro-marketing can build a sustained competitive advantage. Finally, the theoretical implication of the diffusion of a micromarketing approach in the retailing industry is discussed. The areas of strategy, organization, channel relationships, and customer satisfaction are examined. Should micro-marketing become widespread in the retailing industry, we argue that its final result would be increased welfare for the consumer, as long as retailers capitalize on the power of information and stand as a 'countervailing power' to suppliers in the channel.     

Product Market Competition,Monetary Policy Regimes and Inflation Dynamics: Evidence from a Panel of OECD Countries

We empirically analyze the impact of product market competition on the responsiveness of inflation to macroeconomic imbalances. If competition is high the response of inflation to lagged inflation, unemployment and import prices is reduced, while inflation is more responsive to changes in productivity growth in countries in which competition is above the OECD average. Given the (‘good luck’) macroeconomic trajectories of the 1990s–2000s, the structural reforms that made goods markets more competitive improved the ability of OECD economies to smooth (dis)inflationary shocks, while changes in the monetary policy framework had a modest role in taming inflation during the Great Moderation.     

The many shades of ‘openness’: an application of item response theory to open innovation research

This study addresses one of the most basic research questions investigated in the Open Innovation (OI) literature: how open are firms? This question has remained partially unanswered given the challenges encountered by empirical research in assessing the relevance of specific OI practices within the OI model, as well as the types of activities perceived by managers as OI benefits or concerns. To provide an answer to this question, we suggest a framework using Item Response Theory to improve over current measures of firms' openness and test it on a sample of 383 technology‐based SMEs. Our theoretical model conceives openness as an instance of how firms make decisions regarding the adoption of different OI practices based on their evaluation of OI benefits and concerns. Focusing on the relationship between firm‐level differences in terms of openness and the types of OI practices adopted by these firms, we show that significantly different levels of ‘OI maturity’ are required to broaden the scope of external partnerships and to shift from non‐pecuniary OI modes (relation‐based approaches) toward pecuniary (transaction‐based) practices. Our results have relevant implications for the OI literature and provide new managerial insight into OI adoption.     

Relational,Functional Benefits and Customer Value in Large Retailing: A Cross-Format Comparative Analysis

ABSTRACT

Based on the existing marketing concept on relational and functional benefits and on the retailing management of customer value, the present research empirically tests the influence of these customer benefits by providing a comparative analysis for different retailing formats, such as supermarkets and hypermarkets. Using questionnaire data for a sample of customers (N = 362), the authors developed structural equation modeling. This study identifies the factors influencing customer value, as well as the key to understand the relationships of customer benefits, customer value, loyalty, and purchase intention in the retailing service context. The contribution of the present research includes empirically testing a conceptual model, by developing a comparative analysis, along with providing some meaningful insights to retailing managers on how to strategically manage customer value variables to increase and enhance customer retention and purchase intent.     

Distinctive Features of Environmental Innovators: An Econometric Analysis

This paper analyzes the main determinants influencing environmental innovators (i.e. firms developing or adopting environmental innovations) in Spain with respect to non‐environmental innovators. Similarly to other contributions in the literature, our results show that Spanish environmental innovators respond to regulatory stimulus in the form of demand‐pull and technology‐push instruments. They have a high internal technological capability and combine internal and external information sources, mostly in cooperation with knowledge institutions. Environmental innovators are more concentrated in mature, traditionally highly polluting sectors, but new firms are not more environmentally innovative than incumbents. Most importantly, in contrast to other environmental innovation studies, mostly carried out in a German context, we have not found evidence of a market pull from either the domestic or international markets. Furthermore, cost savings are not found to be a distinctive driver for environmental innovators. These differential results are possibly related to the special features of Spain regarding its national innovation system and the degree of stringency of environmental regulation and environmental consciousness of its consumers. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Mergers and Acquisitions and Market Volatility of Brazilian Banking Stocks: An Application of GARCH Models

The main objective of this research was to investigate the impacts caused by announcements of mergers and acquisitions (M&As) on the volatility of the returns of Brazilian bank stocks from 1994 to 2015. In order to achieve the proposed objective, this study applied Generalized Autoregressive Conditional Heteroscedastic (GARCH) class models to the series to model their volatility. Our results confirmed the impact of the announcement of M&As on volatility. They suggest that M&A announcements are expected to cause a negative reaction if related to an expansion or a deal involving a less-well known bank, and a positive reaction if it involves well-known bank with good reputation—a higher level of confidence and a lower level of information asymmetry for investors.