Dynamic DEA models with network structure: An application for Iranian airlines

Efficiency estimation of interdependent divisions within a company or assessing the interrelated processes in a production system provides insights for improving the operational performance. Recent developments in network data envelopment analysis (NDEA) models enable decision making units (DMUs) to be informed of inefficient processes within the system. The NDEA model assesses the processes of the system in a specific moment and ignores the dynamic effects within the production processes. Thus, without considering the temporal dimension of production processes, biased efficiency measurement will be obtained that provides misleading information to DMUs. For evaluating the performance of a DMU with interrelated processes during specified multiple periods, this paper proposes a relational dynamic NDEA (DNDEA) model which measures the efficiencies of the system and its internal processes over the time, simultaneously. To illustrate the capability of the proposed model, this study for the first time measures the efficiency of eight Iranian airlines in several periods connected to each other by carry over flows. The actual data is gathered in three periods from 2010 to 2012 and the results are compared with the dynamic DEA and network DEA models in the same time span.     

Probabilistic assessment of fleet-level noise impacts of projected technology improvements

Demand projections for civil aviation have forecast increases in operations in future decades. Increases in demand are beneficial to the growth and advancement of the aviation industry, but also come with the threat of significant increase in environmental impacts. In response, the industry is focusing on programs to develop technologies for reductions in fuel burn, NO_x emissions, and noise. While aircraft-level impacts are an obvious metric of success, it is difficult to make informed robust technology investment decisions with respect to noise without understanding the fleet-level impacts. Fleet-level predictions of noise for technology explorations are especially complicated because it is computationally expensive, highly combinatorial, and airport-specific. Recently, rapid automated airport noise models have been developed, which can be simulated using Design of Experiments (DOE). The results of these simulations are used to generate surrogate models for airport noise contour area, which can be summed to yield a fleet-level impact. These models make use of simplifying assumptions to provide estimates of airport-level noise that are substantially cheaper to compute. They can be used to perform parametric trade-off analyses in conjunction with the equivalency assumption. Equivalency asserts that environmental impacts of a technology infused aircraft can be represented by scaled operations of the baseline aircraft in the same class. This simple assumption allows for the modeling of technology and market penetration factors under the same units: operations. This research uses surrogate models in conjunction with the equivalency assumption to examine two potential technology scenarios in a target forecast year, simulating technology and market performance factors to identify vehicle classes that could have the greatest impact in reducing contour area. Results show that technology and market performance of future notional Small Single Aisle and Large Single Aisle vehicle aircraft have the highest positive correlations with potential reductions in contour area.     

Unintended consequences in demarketing antisocial behaviour: project Bernie

Unintended consequences are recognised as a potential risk for well-intentioned social marketing interventions and as a comparatively under-researched topic in the field. This case study uses an intervention tackling deliberate grassfires to explore the application of social marketing in a novel context, its potential effectiveness in demarketing antisocial behaviours and the potential of such interventions to generate positive and negative unintended consequences. The intervention’s evaluation confirms social marketing’s potential value in tackling ingrained antisocial behaviours within communities. It also revealed unexpected benefits accruing from changes within the target community, within the sponsoring fire service and in the relationship between the two. The paper concludes by discussing the implications of potential unexpected and unplanned consequences for intervention planning, conduct and evaluation.     

Building a better literature review: Looking at the nomological network of the country‐of‐origin effect

Due to a rising pace of knowledge production, reviewing extant knowledge on mature topics has become increasingly challenging. Researchers often need to account for hundreds of references with little guidance on how to proceed. Taking the phenomenon of the country‐of‐origin effect (COE) as an example, this paper proposes a solution to tackle this challenge. By adopting the principles of integrative literature reviews and using online databases, bibliography management software, and literature‐mapping techniques, I organize 355 papers about the COE. As a result, the nomological network of the COE is drawn while establishing links between the phenomenon, its antecedents, and its outcomes. This methodological article contributes to building better literature reviews. Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.     

Framing the usefulness of eHRM in talent management: A case study of talent identification in a professional services firm

As talent management evolves from intuitive to evidence‐based decision‐making, the role of electronic Human Resource Management (eHRM) to gather, distribute, and analyze data becomes more critical. However, surprisingly few academic studies investigate the role of technology in talent management. Drawing on a qualitative case study of talent management in a large professional services firm, this paper critically examines how eHRM information technologies are framed as useful within talent identification discourses. The findings reveal two distinct but interrelated sets of processes employed to identify talent and suggest that the perceived usefulness and centrality of eHRM are influenced by how stakeholders shape their understanding of effective talent management. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.     

中国政府科技投入变化态势及与经济增长的关系

全面剖析了1953—2014年中国政府科技投入的规模和强度的变化态势,系统分析了政府科技投入与经济增长的弹性系数的变化情况。通过回归分析和协整检验,分析了1953—2014年中国政府的科技投入与经济增长的相关性。结果表明:1953—2014年中国政府科技投入的规模和强度不断加大,政府科技投入对经济增长的平均贡献率达到13.2%;政府科技投入与GDP增长之间存在较强的正相关关系和长期动态均衡关系。指出:为实施创新驱动发展战略、实现建设创新型国家的宏伟目标,应稳定增加政府科技投入、优化科技投入结构、完善和创新科技投入管理体制机制。     

Live and let die: A survival analysis of foreign R&D units in Swedish MNEs

This paper develops and tests a set of hypotheses regarding factors that influenced the longevity of foreign research and development units in Swedish multinational enterprises over the period 1992–2012. The results reveal an underexplored aspect of the R&D internationalization—the volatility of foreign R&D laboratories. During the investigated period, more than 40% of the R&D units in the sample had been terminated. The results substantiate earlier research regarding the negative effects of mergers and acquisitions on R&D in acquired units but show that these effects are not immediate. They appear – if at all – with a time lag of several years. The hazard of closure for an individual unit seems to be more strongly related to its role and position within the MNE than to local country characteristics. It was smaller for strongly locally embedded units and units with global mandates, but – contrary to expectations – the hazard was greater for units highly integrated with the rest of the MNE.     

What drives customer loyalty in grocery retail? Exploring shoppers' perceptions through associative networks

Mental associations play a key role in shaping customer-brand relationships and are critical to the development of favourable attitudes and emotional attachment towards a brand. By exploring shoppers’ knowledge structures, this study identifies what drivers of customer loyalty are more relevant to customers in the context of grocery retail. A mix-method study on shoppers’ perceptions and values associated to their most patronised grocery store is presented. Through focus group discussions, concept maps and associative network analysis, three types of associations are identified: functional, relational and premium store associations. Salience and relationships among these dimensions are also discussed.     

Interregional trade network analysis for road freight transport in Greece

This paper suggests a flexible decision support framework for the strategic planning of a freight transport hub network in Greece. The proposed methodology treats practical aspects related to the optimal number, location and geographical covering of hubs, through the network analysis of interregional trade, based on original survey data for road freight flows during 2004–2012. The results offer insights into the hierarchical structure of the network and related investment priorities, as the hub role of a prefecture is found to be strongly influenced by high population densities and manufacturing specialization, and its location along highway corridors.     

Third-party remanufacturing mode selection: Outsourcing or authorization?

Many original equipment manufacturers (OEMs) allow third-party remanufacturers (3PRs) to perform remanufacturing operations of branded or patented products – through either outsourcing or authorization. This study compares these two modes by modeling the game between the OEM and the 3PR on equilibrium quantities, prices, and profits. The results suggest that when consumers perceive the remanufactured products with a low value, the 3PR prefers the authorization approach; otherwise the 3PR prefers the outsourcing approach. However, in both scenarios, the OEM obtains higher profit through outsourcing than through authorization. Our further analysis compares two modes’ impacts on consumer surplus, social welfare, and environment.