The impact of market freedom on the adoption of third-party electronic marketplaces: A fuzzy AHP analysis

Electronic-marketplace (EM) is an innovative model for interfirm transactions that are undertaken via the Internet. However, in view of higher investment costs and other associated risks, many small and medium-sized enterprises (SMEs), instead of establishing their own EMs, turn to adopt third-party-hosted EMs. In literature, most relevant studies to the adoption of the third-party-hosted EM were conducted on the research contexts of free market. Industries under the protection of government policies may have limited degree of market freedom, different from industries without these protection policies. Thus, this study intends to compare the decision choice of EM adoption between industries with various degree of market freedom. The decision choice of EM adoption consisted of many strategic factors that were constructed in terms of a three-layer hierarchical structure proposed in this paper. A fuzzy analytic hierarchical process (Fuzzy AHP) was utilized to estimate the relative importance of these individual strategic factors involved in the decision-making process of adopting third-party EMs. The research findings indicated there were some similarities and differences in the decision choice between the two industries of interest. The variety of market freedom can account for the differences in the decision choice of EM adoption. In addition to enhancing our understanding of the EM adoption decision of participative companies, the research findings also provide insightful information to third-party EM providers so that they may improve the effectiveness and efficiency of resource allocation.     

Japanese distribution system: The impact of newly designed collaborations on wholesalers' performance

In January 1995, the Kobe earthquake devastated a major part of Kobe's distribution infrastructure. Apart from the expected complaints about lost sales, wholesalers reported some surprising comments after the reopening. Wholesalers stressed the advantages of newly designed distribution channels, especially the opportunity to end longstanding business relationships known as keiretsu. This study is concerned with the recent development of vertical collaboration in the Japanese distribution channel. Multiple regression analysis revealed that the supplier's service to wholesaler, the supplier's offerings to the wholesaler, and buyer's service to the wholesaler did contribute to the enhancement of the performance of the wholesaler. The three factors explained 16% of the wholesaler's performance. The regression analysis also showed that the wholesaler's intra-logistics activities contributed to the improvement of the performance of the wholesaler and explained 5% of its performance.     

The asymmetric moderating role of market orientation on the ambidexterity-firm performance relationship for prospectors and defenders

Drawing on the resource-based view of the firm and, in particular, the capabilities perspective of firm performance, the authors examine the relationship between ambidexterity and firm performance for two strategy typologies: prospectors and defenders. Ambidexterity, defined as the combination of two discrete capabilities (exploration and exploitation), should have a less negative effect on firm performance among prospectors that add exploitation to exploration than among defenders who add exploration to exploitation. Hence, this research predicts an asymmetric effect of ambidexterity on firm performance for prospectors and defenders. The authors further posit that a boundary-spanning culture, such as market orientation, can function as a metaculture by integrating the subunit cultures generated by exploration and exploitation. As a result, market orientation should mitigate the negative effect of ambidexterity on firm performance, albeit differently for prospectors and defenders, and thus point to an asymmetric moderating role of market orientation. The findings provide mixed results, which the authors discuss along with some theoretical and managerial implications.     

ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge

The complexity of policy decision-making raises the need to elicit opinions from large and heterogeneous groups of stakeholders with broad and diverse sets of expertise. Existing options for elicitation include small face-to-face panels of experts by using the Nominal Group Technique (NGT), large Delphi panels whose members do not interact with each other face-to-face, and crowdsourcing, which involves an open call for input issued to a large community of people. In an attempt to close the gap between the practical needs of policy makers and the methodological challenges associated with eliciting opinions of large, diverse, and distributed groups, we have developed a new online elicitation system and methodology called ExpertLens. By optimizing the direct interactions of NGT with the larger number of Delphi participants and the wisdom of “selected crowds,” our approach is designed to save on the costs associated with traditional expert panels, while increasing accuracy in elicitation by reducing the potential for group process losses that can occur in large, diverse, and non-collocated panels whose members interact via asynchronous online discussion boards. The ExpertLens approach is iterative, does not require participants to develop consensus, and determines what the group “thinks” by statistically analyzing data collected in all rounds of the elicitation. This paper describes the ExpertLens system and methodology, briefly discusses recent ExpertLens trials, provides conceptual arguments for why it is an appropriate model for eliciting expert opinions, illustrates its main components and analytics by using an infrastructure investment example, and discusses a research agenda for testing the underlying tenets of the ExpertLens approach.     

An information-based adaptive strategy for resource exploitation in competitive scenarios

Given an exploitation problem, in which a number of agents compete for a limited renewable resource, the optimal harvesting strategy depends on the ratio between resource availability and exploitation effort. For scarce resource a purely competitive, greedy strategy outperforms a more collaborative approach based on the Collective Intelligence, while for more abundant resource the opposite holds. The rationale for this behaviour lies in the amount of information each strategy is able to provide and a combined strategy is possible according to which agents choose dynamically the most informative strategy according to a minimum entropy criterion. This approach, which provides best performance for both under and over-exploited scenarios, can be used to monitor the resource status for management purposes and is effective in both centralised and decentralised decision making.     

Economic development and resource degradation: Conflicts and policies

The paper develops a model that shares common features with computable general equilibrium (CGE) models. It is used to address two questions. First, what are the future prospects of a green gross domestic product (GDP); should we be concerned with resource degradation or not; and, to what extent, and under which conditions? Secondly, which policies are more effective than others? Model closures are simulated using different specifications of exogenous variables. Further, alternative policies are treated: human capital, price incentives, property rights and poverty reduction. In the African context, we show that while the prospects of environment-friendly economic development, i.e. a rising green GDP, are weak in the medium-run, under certain structural conditions there is a range of effective policies that resolves the conflict between economic growth and resource degradation, thus contributing to a rising green GDP.