The impact of e-business infusion on channel coordination, conflict and reseller performance

Manufacturer-reseller interactions are becoming more technology-enabled as channels of distribution increasingly utilize e-business tools on the Internet. This research examines the performance consequences for resellers as these technological advances are applied to distribution activities between channel members. Using a sample of 216 resellers of computer products, the research explores the impact of e-business tools in 2 areas of manufacturer-reseller interactions: supply tasks and demand tasks. The results suggest that e-business in supply tasks increases relationship coordination between manufacturer and reseller, whereas e-business in demand tasks increases coordination as well as conflict within the channel dyad. The increase of conflict constitutes a potential “dark side” of e-business in channel relationships that may provide an explanation for e-business implementation failures and negative returns on investment in technology.     

Diverging expectations in buyer-seller relationships: Institutional contexts and relationship norms

Many firms assume that outsourcing partnerships may allow them to strengthen their overall competitiveness. Lured by its intuitive appeal, several enter into such partnerships, only to realize that they represent a marginal rather than a magical solution to their quest for increasing market performance. An important reason for this is the diverging beliefs and expectations held by both parties in the buyer-seller dyad. The purpose of this contribution is to develop a framework for understanding the divergences in expectations and relationship norms in cross-cultural business relationships among SMEs. We discuss four relational expectations derived from the B2B literature on relational norms for addressing these divergences: Quality, frequency and scope of communication, role specifications and coordination of work nature of planning horizons, and trustworthiness and link these to relationship performance. We explore the proposed impact of diverging relationship norms on relationship expectations using data from an ongoing field study of Danish buyers and Chinese suppliers. We link these diverging expectations to the business practices of Danish buyers and Chinese and their institutional contexts. In the concluding part of the paper, we discuss our findings and outline implications for management and academia.     

Transitioning and co-evolving to upgrade value offerings: A competence-based marketing view

This article shows how subcontractors in the steel and metalworking industry can effectively upgrade their customer value offerings. The study intends to identify internal and external drivers for successful transitions. It builds on the IMP's (Industrial Marketing and Purchasing Group) research tradition by looking into value creation and competence-based marketing within business networks. Using qualitative methods, the research identifies ‘ideal’ value-added market positions and relates these to specific competence configurations. It also reveals the need to manage co-evolution with other network partners in order to make a successful transition from basic to value-added offerings. The paper contributes to business marketing science by looking explicitly into the mechanisms of internal alignment when upgrading value offerings (a pre-condition often overlooked in extant literature) and by extending the concept of co-evolution.     

Twists and turns of triadic business relationship recovery

This study focuses on triadic business relationship recovery processes through a single case study. We address the question of what kind of process takes place when a business relationship on the verge of ending is recovered and what roles a third actor can play in the process. As a result, we model a process through which a triadic business relationship is recovered and attraction, trust, and commitment are restored.     

Antecedents of entry mode choice when diversifying

Corporate diversification is one of the broadest investigation topics in strategic management, but there are important gaps in the literature regarding entry mode choice. Few studies have examined the extent to which pre-entry conditions influence the choice of entry mode into new businesses. Past research has focused exclusively on internal development and acquisition as ways of entering new businesses, without considering the existence of hybrid forms, such as strategic alliances, that have experienced extensive growth during the last decade. Here we present an in-depth analysis of entry mode choice that uses an integrative perspective of corporate diversification and considers strategic alliances as an alternative to traditional approaches. A survey of 272 domestic diversifying entries by 155 Spanish firms allows us to characterize the use of cooperative agreements in diversification and to stress the role of inter-firm cooperation in acquiring the knowledge and capability required to grow into new businesses.     

Suppliers' roles in category management: A study of supplier–retailer relationships in Finland and Sweden

The purpose of this paper is to analyze suppliers' roles in category management (CM) in the context of Finnish and Swedish supplier–retailer relationships. Using data from a survey of a sample of Finnish and Swedish suppliers, the study shows that the concept of CM is well known among both Finnish and Swedish suppliers, and that most of them have experience of CM as a key operational business process. The study also shows that, in general, larger suppliers in both Finland and Sweden have a relatively strong role in CM collaboration, whereas smaller suppliers (especially in Finland) are more likely to have a lesser role in CM collaboration. Suppliers with a strong role in CM collaboration are generally more capable of influencing individual CM tactics than suppliers with an equal role to competitors or those with no role (both in Finland and in Sweden). The study also finds that the effects of CM are perceived more positively among suppliers who have influence in decision-making regarding CM collaboration than among those who have no role in such decision-making. However, the opinions of suppliers who have no role in CM collaboration are neutral, rather than being especially negative. Qualitative studies, including face-to-face discussions with managers representing manufacturers who are more or less excluded from CM collaboration, might provide a more thorough understanding of CM from their perspective.     

Foreign direct investment: A genetic algorithm approach

This paper proposes a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function for variable selection. Discriminant analysis will be used as a parameter evaluation method for the analysis of inward foreign direct investment (FDI) in China. Results indicate that the proposed GA method is more efficient in classifying “successful or unsuccessful” inward FDI by providing higher accuracy rates while using fewer variables than previous efforts. An implication of this result is that, given a scarcity of resources and the need to promote FDI, the proposed GA may provide a more efficient way to concentrate on those fewer variables found to be important determinants of “successful” FDI inflow.     

Dispatching and routing of emergency vehicles in disaster mitigation using data fusion

The aim of this paper is to develop a robust methodology for the dispatching and routing of emergency vehicles (EVs) in a post-disaster environment with the support of data fusion. In this work, we consider an earthquake scenario with a large number of casualties needing medical attention. Given an influx of information (regarding casualties, road, traffic conditions, etc.), data are fused to provide estimates of the entities under consideration. We use this information to dispatch and route EVs to casualty pickup locations, followed by delivery to appropriate hospitals. Key factors here include patient priorities, clustering criteria, and distance. Similarly, factors affecting the dispatching of EVs from patient locations to hospitals include waiting time at hospital emergency rooms, hospital capacity, and distance. Routes must be generated for EVs by accounting for real-world road networks, existing road damage, congestion, and related issues. We develop a dispatching and routing simulation model, and utilize a case study to evaluate the performance of our proposed methodology.     

Defining efficient policies in a general equilibrium model: a multi-objective approach

Macroeconomic policy makers are typically concerned with several indicators of economic performance. We thus propose to tackle the design of macroeconomic policy using Multicriteria Decision Making (MCDM) techniques. More specifically, we employ Multi-objective Programming (MP) to seek so-called efficient policies. The MP approach is combined with a computable general equilibrium (CGE) model. We chose use of a CGE model since it has the dual advantage of being consistent with standard economic theory while allowing one to measure the effect(s) of a specific policy with real data. Applying the proposed methodology to Spain (via the 1995 Social Accounting Matrix) we first quantified the trade-offs between two specific policy objectives: growth and inflation, when designing fiscal policy. We then constructed a frontier of efficient policies involving real growth and inflation. In doing so, we found that policy in 1995 Spain displayed some degree of inefficiency with respect to these two policy objectives. We then offer two sets of policy recommendations that, ostensibly, could have helped Spain at the time. The first deals with efficiency independent of the importance given to both growth and inflation by policy makers (we label this set: general policy recommendations). A second set depends on which policy objective is seen as more important by policy makers: increasing growth or controlling inflation (we label this one: objective-specific recommendations).