Exploring the Role of Product Development Capability for Transforming Marketing Intelligence into Firm Performance

ABSTRACT

Purpose: This study examines the role of product development capability for transforming marketing intelligence activities into firm performance on industrial markets.

Methodology/Approach: The authors apply structural equation modeling to analyze survey data from 342 industrial manufacturing companies.

Findings: Results reveal that sales integration and holistic macroeconomic view are particularly important features of the marketing intelligence capability on industrial markets to gain additional insights in order to develop products successfully. Results also reveal that product development capability transforms the marketing intelligence activities into firm performance on industrial markets.

Research Implications: This study offers new insights on marketing theory by extending and concretizing the concept of market orientation to a broader concept of the marketing intelligence capability for industrial markets. Further, this research reveals that the product development capability serves as a mediator to business performance.

Practical Implications: This study’s systematic and tangible outline of the dimensions of marketing intelligence and its link to the product development capability helps firms to better understand how to capitalize on market orientation’s potential values.

Originality/Value/Contribution: This research (a) reveals the relevant dimensions of marketing intelligence on industrial markets and (b) shows how the product development capability tranforms marketing intelligence activities into firm performance on industrial markets.     

The relevance of shopper logistics for consumers of store-based retail formats

This paper discusses and empirically evaluates the relevance of shopping-related logistics for consumers of store-based retail formats. Based on a literature review a conceptual model was developed and subsequently tested using a survey of more than six hundred consumers in the grocery retail sector. Respondents were those primarily responsible for grocery shopping in their households located in a highly concentrated European urban retail market. Variance based structural equation modelling reveals that shopper logistics has a major impact on the convenience of store-based shopping and partly influence consumers' perceptions of shopping related costs. Nevertheless, shopper logistics does not affect consumer behaviour in terms of the share of visits of a store. These results are moderated by age, hedonic shopping orientation, shopping frequency, average spending per trip and store format preference. We conclude that shopper logistics is relevant for consumers of grocery stores but its relevance varies between different shopper groups.     

On de-seasonalising adjusted-average formulae

The techniques of Borgan (1979) are extended to cover data with seasonal variations. Examples are given, and it is suggested that the formulae presented here give smoother results than those traditionally employed to deal with economic time series subject to seasonal variations.     

Going Alone: The Case for Relaxed Reciprocity in Freeing Trade

We examine the output elasticity of infrastructure for four South Asian countries viz., India, Pakistan, Bangladesh, and Sri Lanka using panel cointegration techniques for the period 1980–2005. In this context, we develop an index of infrastructure stocks and investigate the impact of infrastructure on output. The study finds a long-run equilibrium relationship between output and infrastructure along with other relevant variables, such as gross domestic capital formation (GDCF), labor force, international trade and human capital. The results reveal that GDCF, labor force, export and expenditure on human capital exhibit a positive contribution to output. More importantly, infrastructure development contributes significantly to output growth in South Asia. Further, the panel causality analysis shows that there is mutual feedback between total output and infrastructure development.     

Anmerkungen zum weltwirtschaftlichen denkansatz

Ohne Zusammenfassung     

MIRR: A better measure

Over the past 60 years Net Present Value (NPV) and the Internal Rate of Return (IRR) have emerged from obscurity to become the overwhelming choices for the quantitative measurement of investment attractiveness in modern corporations. Despite their current popularity, neither NPV nor IRR was designed to deal effectively with the vast majority of investment problems, meaning those where periodic free cash flows are generated between the time of asset purchase and the time of sale. NPV assumes that periodic cash flows can and will be reinvested at the NPV discount rate, either at the cost of capital or another risk adjusted discount rate; IRR assumes reinvestment at the IRR. Neither assumption is usually realistic. In addition, when evaluating projects in terms of their financial attractiveness, the two measures may rank projects differently. This becomes important when capital budgets are limited. Finally, a project may have several IRRs if cash flows go from negative to positive more than once. The Modified Internal Rate of Return (MIRR), discovered in the 18th century, does account for these cash flows. This article explains the problems with NPV and IRR, describes how MIRR works, and demonstrates how MIRR deals with weaknesses in NPV and IRR.