Competing through relationships: Grounding relationship marketing in resource‐advantage theory

A common element of all views of relationship marketing is the “co‐operate‐to‐compete” thesis. That is, to be an effective competitor often requires one to be an effective co‐operator. One implication of this thesis is that not all instances of firms co‐operating with each other constitute anti‐competitive collusion. This article argues that, although neoclassical, perfect competition theory cannot provide a theoretical foundation for relationship marketing's “co‐operate‐to‐compete” thesis, the recently developed “resource‐advantage” theory of competition can do so. Furthermore, this article uses resource‐advantage theory to address the relationship portfolio conundrum. Specifically, the paper argues that firms should develop a relationship portfolio that is comprised of relationships that constitute relational resources.     

On the unique features of post-disaster humanitarian logistics

Logistic activity can be thought of as a socio-technical process whereby a social network of individuals orchestrates a series of technical activities using supporting systems such as transportation and communications. To understand the functioning of the entire system requires proper consideration of all its components. We identify seven key components: the objectives being pursued, the origin of the commodity flows to be transported, knowledge of demand, the decision-making structure, periodicity and volume of logistic activities, and the state of the social networks and supporting systems. Based on our analysis of the differences between commercial and humanitarian logistics, we pinpoint research gaps that need to be filled to enhance both the efficiency of humanitarian logistics and the realism of the mathematical models designed to support it.We argue that humanitarian logistics is too broad a field to fit neatly into a single definition of operational conditions. At one end of the spectrum we find humanitarian logistic efforts of the kind conducted in long-term disaster recovery and humanitarian assistance, where operational efficiency – akin to commercial logistics – is a prime consideration. At the other, post-disaster humanitarian logistic operations involved in disaster response and short-term recovery activities represent a vastly different operational environment, often in chaotic settings where urgent needs, life-or-death decisions and scarce resources are the norm. The huge contrast between these operational environments requires that they be treated separately.     

Challenges for land system science

While considerable progress has been made in understanding land use change, land system science continues to face a number of grand challenges. This paper discusses these challenges with a focus on empirical land system studies, land system modelling and the analysis of future visions of land system change. Contemporary landscapes are contingent outcomes of past and present patterns, processes and decisions. Thus, empirical analysis of past and present land-use change has an important role in providing insights into the socio-economic and ecological processes that shape land use transitions. This is especially important with respect to gradual versus rapid land system dynamics and in understanding changes in land use intensity. Combining the strengths of empirical analysis with multi-scale modelling will lead to new insights into the processes driving land system change. New modelling methods that combine complex systems thinking at a local level with macro-level economic analysis of the land system would reconcile the multi-scale dynamics currently encapsulated in bottom-up and top-down modelling approaches. Developments in land use futures analysis could focus on integrating explorative scenarios that reflect possible outcomes with normative visions that identify desired outcomes. Such an approach would benefit from the broad and in-depth involvement of stakeholders in order to link scientific findings to political and societal decision-making culminating in a set of key choices and consequences. Land system models have an important role in supporting future land use policy, but model outputs require scientific interpretation rather than being presented as predictions. The future of land system science is strongly dependent on the research community's capacity to bring together the elements of research discussed in the paper, via empirical data collection and analysis of observed processes, computer simulation across scale levels and futures analysis of alternative, normative visions through stakeholder engagement.     

中国精英对中欧关系现状和前景看法

2010年5月至8月,在欧盟第七框架项目解析中国人对欧盟的看法的资助下,中国社会科学院研究生院联合中国人民大学等机构针对中国精英就中欧关系现状和前景及与此相关的问题看法进行了调查。调查数据显示:第一,精英对欧盟的知晓率比较低。第二,在信息渠道选择上,互联网、电视和报纸是三大主要工具,不同工具对中欧关系看法具有一定的影响。第三,中国精英对欧盟保持较好的印象。第四,精英认为欧盟的国际政治和经济影响力仅次于美国,且均强于中国。第五,精英对中欧关系现状和前景的看法日趋谨慎和保守。第六,通过回归分析可以发现,教育、收入、学习和工作经历等变量对精英的欧洲观有着明显影响。第七,学者和媒体工作者对中欧关系的现状和前景的看法和评价,均比其他群体更为积极和乐观。     

The role of experience in six sigma project success: An empirical analysis of improvement projects

Recent learning-by-doing research highlights the importance of examining multiple measures of experience and their relationship to the performance of work teams. Our paper studies the role of individual experience, organizational experience, team leader experience, and experience working together on a team (team familiarity) in the context of improvement teams. To do so, we analyze successful and failed six sigma improvement team projects at a Fortune 500 consumer products manufacturer with multiple business groups. Such improvement project teams focus on deliberate learning, which differs from the primary focus of work teams.Our analysis uses archival data generated by these improvement project teams over a six year time span. Of the four experience variables we study, we find that team leader experience exhibits the strongest relationship with project success, followed by organizational experience. Further, in contrast to prior-related research on work teams, we find no relationship between individual experience or team familiarity and project success beyond that explained by team leader and organizational experience. These results suggest that a well-developed and deployed structured problem-solving process—characteristic of effective six sigma deployments—may reduce the importance of team familiarity in the context of improvement teams.     

The new goods margin in new markets

We analyze the role of the new goods margin in the Baltic countries’ exports and imports growth during the 1995–2008 period. Using the methodology developed in Kehoe and Ruhl (2013), we define the set of least-traded goods as those that account for the lowest 10% of total exports and imports in 1995, and then trace its growth in several markets including the Baltics’ main trade partners, the European Union and Russia. We find that, on average, by 2008 least-traded goods accounted for nearly 50% of total Baltic exports to their main trade partners. Moreover, we find that increases in the share of least-traded exports coincided with the timing of the trade liberalization reforms implemented by the Baltic countries. Least-traded imports also grew at robust rates, but their growth was lower than that of exports, accounting for slightly less than a quarter of total imports, that is, about half of the exports value. Moreover, we find that the shares of least-traded imports from the EU 15 and from Russia started diverging around the time the Baltic countries joined the EU, with the EU 15 share increasing and the Russian one declining. We also find that the Baltics’ share of least-traded exports outpaced that of other economies in Central and Eastern Europe. Finally, exports of new goods from the Baltic countries suffered noticeably during the Global Financial Crisis. After the crisis ended, the restart in new goods exports growth displayed mixed patterns.     

Effects of Collaborative Communication on NPD Collaboration Results: Two Routes of Influence

Although NPD collaboration with external partners has become the next generation in NPD practice, the discussion concerning how to organize collaboration so as to obtain better results is far from over. Since communication is the most important element in successful interfirm exchange, this study focuses on the impact of collaborative communication and its facets—frequency, formality, reciprocal feedback, and rationality—on NPD collaboration results. In order to explain how collaborative communication can best be managed to enhance NPD collaboration results, this research combines the relational and resource‐based views, proposing the existence of two routes of influence: the direct resource‐based route and the indirect relational route mediated by trust. Using a sample of 207 NPD collaboration projects of innovative firms, empirical findings indicate that reciprocal feedback–rationality and frequency play an important role in product quality and adherence to budget and schedule, respectively, even without trust. Moreover, the trust between partners substantially reinforces the positive influence of reciprocal feedback–rationality on NPD collaboration results and makes the effect of formality significant. Therefore, the two alternative routes are confirmed as important paths to new product success, which provides relevant managerial implications.     

Flexible Estimation of Copulas: An Application to the US Housing Crisis

Zimmer (‘The role of copulas in the housing crisis’, Review of Economics and Statistics 2012; 94 : 607–620) provides an interesting case study of the pitfalls of using parametric copulas to understand the US housing crisis in the latter part of 2000s. The original study by Zimmer (2012) employs a finite‐mixture copula to illustrate that the symmetry of the Gaussian copula may not be tenable, especially for US housing price data during the time period from 1975:Q2 to 2009:Q1. We undertake a replication of his study in a wide sense. First, we replicate the study by incorporating revised data and then extending the dataset to include the most recent data. Second, we implement a nonparametric copula estimator recently proposed by Racine (‘Mixed data kernel copulas’, Empirical Economics forthcoming) to the parametrically filtered data used in Zimmer (2012). Our replication finds that the application of the nonparametric copula to the same and extended filtered data provides an alternative flexible specification for copulas. However, the overall cautionary message of the flexible‐form copula espoused in Zimmer (2012) remains. Copyright © 2015 John Wiley & Sons, Ltd.     

Pay for Performance and Corporate Governance Reform

Directors’ pay and corporate governance continue to generate public outrage and calls for reform. Our meta‐regression analysis of all comparable UK pay‐for‐performance estimates finds little, if any, meaningful association between directors’ pay and corporate performance. However, there is evidence of the effectiveness of past “comply‐or‐explain” rules, especially the Cadbury Report. Unfortunately, the effects of past reform efforts tend to erode over time. This study also explores differences between pay–performance estimates, finding that these are largely explained by how pay and performance are measured by a given study.     

Towards a Smart Tourism Business Ecosystem based on Industrial Heritage: research perspectives from the mining region of Rio Tinto,Spain

The implications of the study provide suggestions for future improvements relating to the development of industrial tourism destinations. The possibility of ‘re-using’ the old industrial and mining heritage could favour the development of an economic opportunity to the recession that affected most industrial regions after the 1960s. This paper is focused on the field of industrial heritage tourism management (IHTM) to deepen the knowledge about its business ecosystem. The IHTM is chosen because a number of evidences highlight the interconnections that exist between this field and the business ecosystem concept. To explore these interconnections, the purpose of this article is to define a frame of analysis based also on the emergent initiative of smart tourism and to set up a theoretical framework not only used to the case study of the region of Rio Tinto mine in Spain, but also used as a policy instrument to suggest propositions for recommending new paths for future studies.