Customer Profitability Analysis Reports for Resource Allocation: The Role of Complex Marketing Environments

Most decision making research in management accounting remains focused on cost information in a production context. Little is known on the relevance of customer profifitability analysis (CuPA) reports, which more accurately reflect revenue and marketing support variations acrosscustomers, for marketing decisions. This study uses an experimental design to examine the impact of such reports on resource allocation decisions (that affect the firm's profits) in marketing environments varying in complexity. The main result of the experiment suggests that the value of CuPA reports depends on the complexity of the marketing setting. Only in a highly complex marketing setting do they enhance resource allocation decisions and resultant firm profitability. Conversely, in the simple marketing environment, decision makers can combine their traditional volume-based cost data with other available types of feedback to perform as well as under a more accurate CuPA report. These findings on complexity contrast with those of a prior study in a production context ( Gupta and King, 1997 ). It is argued that improvements in the current research design, in the form of regularly updated profitability reports and concerning accuracy, increase the relevance of CuPA reports in a complex marketing setting.     

Evolutionary stability and lexicographic preferences

We explore the interaction between evolutionary stability and lexicographic preferences. To do so, we define a limit Nash equilibrium for a lexicographic game as the limit of Nash equilibria of nearby games with continuous preferences. Nash equilibria of lexicographic games are limit Nash equilibria, but not conversely. Modified evolutionarily stable strategies (Binmore and Samuelson, 1992. J. Econ. Theory 57, 278–305) are limit Nash equilibria. Modified evolutionary stability differs from “lexicographic evolutionarily stability” (defined by extending the common characterization of evolutionary stability to lexicographic preferences) in the order in which limits in the payoff space and the space of invasion barriers are taken.     

Linking scenarios across geographical scales in international environmental assessments

The development and analysis of scenarios or plausible futures has evolved to be a useful approach for dealing with uncertainty about future developments in a structured and integrated manner. Commonly, scenario exercises have focussed on processes at one specific geographic scale. Recently scenario-based approaches have also been used to address multi-scale processes or to link scenarios developed at various geographical scales with each other in order to better understand the interaction of processes across scales.The level of interconnectedness across scales will vary, and depends largely on the approaches used to develop multi-scale scenarios. We distinguish five levels of interconnectedness scenarios may display across scales: (a) Equivalent, (b) Consistent, (c) Coherent, (d) Comparable, and (e) Complementary. Furthermore, we describe five different types of coupled scenario development processes: (a) Joint, (b) Parallel, (c) Iterative, (d) Consecutive, and (e) Independent.Based on this nomenclature, the relationship between the level of interconnectedness of scenarios and the degree of coupling of scenario development processes across geographical scales is discussed. Which process is best suited and how much interconnectedness is needed, will depend both on the focal issue and the primary purpose of the scenario exercise, i.e. whether the aim is education, scientific exploration, or decision-support.     

The implications,challenges and benefits of a complexity-orientated Futures Studies

Complexity science is increasingly cited as an essential component of a Futures Studies (FS) capable of assisting with the wide-ranging and complex societal problems of the 21st century. Yet, the exact implications of complexity science for FS remain somewhat opaque. This paper explicitly sets out the challenges for FS that arise from six complexity science concepts: (1) irreversibility of time (2) path dependence 3) sensitivity to initial conditions (4) emergence and systemness (5) attractor states (6) complex causation. The discussion highlights the implications of these challenges for FS tools such as horizon scanning and weak signals, and sets out the benefits of overcoming the challenges to create an explicitly complexity-orientated FS. The discussion concludes with a set of questions summarising the challenge for FS from complexity science with the aim of stimulating a discussion as to how they can be met. The concluding remarks make some initial suggestions in this regard.     

Effects of complexity on the success of temporary organizations: Relationship quality and transparency as substitutes for formal coordination mechanisms

The organizational literature has considered complexity as an important factor influencing organizations. More recently, the degree of dissemination of temporary organizations (TOs) increased and today TOs can be found in almost every industry. This corresponds to an augmenting treatment in the literature where TOs are often described as appropriate means to cope with complexity. Yet, few empirical studies to date have analyzed the effects of complexity on the success of TOs. This paper considers three prevalent types of complexity (structural, task, temporal) and integrates two factors (relationship quality, transparency) which are hypothesized to mediate the influence of complexity on the efficiency and effectiveness of TOs. We test the hypothesis using a sample of knowledge-intensive consulting projects. The results show that TOs possess a high degree of “complexity resistance” and are therefore particularly suited for solving unique and complex problems. Of the three types of complexity considered, only structural complexity significantly influences efficiency and effectiveness of TOs. Relationship quality and transparency act as mediators on this effect and can be used to mitigate negative effects of complexity.     

Effects of control on the performance of information systems projects: The moderating role of complexity risk

Control of projects is a core issue for organizations. Successful projects, such as information systems projects, enable organizations to develop a superior supply network and enhance the capability of operations management. A few studies have investigated the effects of control on project performance; however, complexity risk has not been integrated into the relationship between control and performance. Limited evidence has been provided concerning whether modes of control differ in their effectiveness in the presence of a single risk factor. Based on quantitative data obtained from 128 information systems projects, behavior, outcome, clan, and self-control are empirically determined to be positively associated with the system performance of projects. However, complexity risk generates a mixed moderating effect on the relationship between control and performance. In the presence of a high complexity risk, the effects of behavior and self-control on performance are low, whereas the effectiveness of outcome and clan control increases. This finding implies that complexity risk is a double-edged sword with regard to control. Each control mode exhibits different characteristics and effectiveness under high complexity risk. Therefore, appropriate control modes should be carefully selected, and highly effective control modes, such as outcome and clan control, should be prioritized in managing complex system projects.     

Adoption of precision farming tools: A context-related analysis

This paper deals with precision farming tools (PFTs), a way of farming which relies on specialized equipment, software and information technologies services, whose importance is underlined in recent documents of the European Union. Precision farming is an integrated and sustainable farm management system making use of modern technologies to increase farm’s profitability, by reducing environmental impact. In this paper we explore the complex mechanisms that affect PFT’s adoption by Italian farmers. More precisely, we try to analyse the context-related factors affecting adoption of PFTs in the Italian farms.Little research has been carried out in Italy on this topic, therefore our paper tries to fill a gap in literature. In order to investigate the process of technology adoption related to precision agriculture, a questionnaire was submitted to a sample of Italian farms. The questionnaire has been structured in order to apply the AKAP (Awareness, Knowledge, Adoption, Product) sequence. Our analysis underlines that context-related factors are fundamental dimensions to be explored in order to specify uptake of PFTs. Therefore, the paper has relevant policy implications, within the context of a new participatory approach to agricultural innovation characterized by bottom-up processes boosted by farmers, which has informed the recent policies of agricultural innovation at the EU level.     

中国区域知识复杂性测度及其对创新的影响

十九大报告明确提出,创新是引领发展的第一动力,是建设现代化经济体系的战略支撑。知识作为创新的核心驱动力,其重要性受到众多学者的关注。基于伊达尔戈等的HH反射方法,利用15 988 864件中国专利数据,测度中国内地31个省市区知识复杂程度,并检验其对创新产出的影响。结果发现：①虽然东部地区的稀缺技术掌握能力高于中、西部,但中、西部地区落后境况不断改善,正逐渐进入新的技术领域;②知识复杂性对创新高效区域（东部）的影响更大,但低效地区（中、西部）具有更高的稀缺知识边际增益。以上发现的政策含义是,区域不应仅谋求单一领域内的竞争优势,应以兼顾聚集多样化和高质量知识为最终政策目标。     

Complexity and the limits to learning

In this paper we look at the manner in which ideas coming from complexity science change our understanding of the cognitive powers of agents that is really necessary to explain the evolution of markets and of firms. The general ideas behind complex systems dynamics and evolution are presented and then two examples are treated in detail. The first in an evolutionary model of a market in which some new product is developed by competing firms and their “task” is to find a strategy in terms of quality and price that will be sustainable. This essentially requires agents/firms to discover mutually compatible strategies, and to create thereby sustainable market niches. The second example considers the internal structure of firms, in terms of their constituent working practices and skills. It demonstrates that it is precisely their ignorance of the consequences of adopting any particular practice that generates diversity in the emergent capabilities of firms, exploring the dimension of potential demand and therefore leading to a successful and sustainable business sector. The work supports the notion that the cognitive abilities that are involved are not about deduction and logic, as a traditional view of rationality might suggest, but are about the development and contraction of interpretive frameworks, which will be different for each player. The paper links these examples to a general recognition of the idea that complex, multi-agent systems evolve through successive “structural attractors”—multi-dimensional dynamical systems—with temporary structural stability. Because real systems contain both the structure and deviations from it, then there is a constant probing of structural stability and the possibility of qualitative change to a new structural attractor. This resembles the ideas in biological evolution related to “punctuated equilibria,” but it also links this to the idea of emergent and evolving networks of interaction, never of course near thermodynamic equilibrium.