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The purpose of this paper is to focus on resource allocation and information disclosure policy for defending multiple targets against intentional attacks. The intentional attacks, like terrorism events, probably cause great losses and fatalities. Attackers and defenders usually make decisions based on incomplete information. Adaptive attacking and defending strategies are considered, to study how both sides make more effective decisions according to previous fights.

A stochastic game‐theoretic approach is proposed for modeling attacker‐defender conflicts. Attackers and defenders are supposed both to be strategic decision makers and partially aware of adversary's information. Adaptive strategies are compared with different inflexible strategies in a fortification‐patrol problem, where the fortification affects the security vulnerability of targets and the patrol indicates the defensive signal.

The result shows that the intentional risk would be elevated by adaptive attack strategies. An inflexible defending strategy probably fails when facing uncertainties of adversary. It is shown that the optimal response of defenders is to adjust defending strategies by learning from previous games and assessing behaviors of adversaries to minimize the expected loss.

This paper explores how adaptive strategies affect attacker‐defender conflicts. The key issue is defense allocation and information disclosure policy for mitigation of intentional threats. Attackers and defenders can adjust their strategies by learning from previous fights, and the strategic adjustment of both sides may be asynchronous.

Historically black colleges and universities (HBCUs) are facing changes in the twenty-first century driven in part by a change in the societal demands on the educational system. Organizational adaptation to changing environment is discussed in the business and management literature, which now includes organizational adaptation in higher education (Brown, 2012; Cameron, 1984; Drew, 2010; Rogers, 2013; Sporn, 1999). The focus of this research is organizational adaptation in four HBCUs. Although HBCUs have long histories and just over 100 of them currently exist, the researchers have focused on four of these institutions and the factors that have enabled them to adapt to change. These changes are forcing colleges and universities to reexamine their organizational strategy to adapt to changes in the educational environment.

The purpose of this research was to examine enabling factors of four HBCUs to adapt to the changing environment. Drawing from historical and archival material, the researcher examined four HBCUs – Bluefield State College, Bowie State University, Hampton University, and Spelman College, and how each adapted to the changing environment. A multiple case study designed was selected to understand the adaptation phenomenon within and across institutions. A review of the literature on organizational adaptation and change, along with a case study analysis of four HBCUs identified the factors that enhanced their adaptive strategies and ability to adapt successfully to the changing environment. The four factors were leadership, culture, structure, and business strategy that influenced each university's ability to adapt successfully to change. Chaffee's (1984, 1985) adaptive and interpretative strategy models and Miles and Snow's (1978) adaptive cycle provided the lens to examine adaptation in these institutions. In this study, leadership, culture, structure, and business strategy were observed as factors that enhanced each school's adaptation to the changing environment.

Chaffee's (1984, 1985) adaptation models and Miles and Snow's (1978) theoretical framework were employed to evaluate adaptation in these organizations. Each of these institutions faced organizational challenges that required an adaptive response. The quality of the adaptive response enabled each organization to adapt to its changing environment, and these changes involved long-range planning for these organizations and not merely short-term gains. The adaptive responses were hinged on the presence of four factors: leadership, culture, structure, and business strategy. Leadership and culture were the most prominent factors that supported organizational change.

Traditional adaptive analysis based on a coarse mesh, using finite element method (FEM) analysis, produces the original solution. Then post-processing the result and figuring out the regions should be refined and these regions refined once. Finally, this new mesh is used to get the solution of first refinement. After several iterations of above procedures, we can achieve the last result that is closer to the true solution, which takes time, making adaptive scheme inpractical to engineering application. The paper aims to discuss these issues.

This paper based on FEM proposes a multi-level refinement strategy with a refinement strategy and an indicator. The proposed indicator uses value of the maximum difference of strain energy density among the elements that associated with one node, and divides all nodes into several categories based on the value. A multi-level refinement strategy is proposed according to which category the node belongs to refine different elements to different times rather than whether refine or not.

Multi-level refinement strategy takes full use of the numerical calculation, resulting in the whole adaptive analysis that only need to iterate twice while other schemes must iterate more times. Using much less times of numerical calculation and approaches, more accurate solution, making adaptive analysis more practical to engineering.

Multi-level refinement strategy takes full use of the numerical calculation, resulting in the whole adaptive analysis only need iterate twice while other schemes must iterate more times. using much less times of numerical calculation and approaches more accurate solution, making adaptive analysis more practical to engineering.

The purpose of this paper is to explore the feasibility of developing an adaptive strategy to address the impact of climate change in the context of flooding.

The paper analyses flood risk and highlights the need for an adaptive strategic plan for flood risk management under the impact of climate change. It introduces a framework for the development of an adaptive strategic plan. The paper identifies organizational issues (at the local government scale) associated with having an adaptive strategic plan and developing a methodology to address these issues. It also identifies the need for a strategic decision support system (SDSS) and conceptualizing the system in order to support adaptive planning principle.

This study identifies lack of adaptability as a gap in traditional strategic planning for addressing flood risk associated with climate change. An adaptive strategic plan has adequate flexibility, promptness and responsiveness to adapt itself to new realities as they emerge and can sustain itself and remain relevant in a changing environment. The study introduces a SDSS that is necessary to support the adaptive element of an adaptive strategic plan.

This study distinguishes between a strategy for adaptation and an adaptive strategy. Most research on the topic of adaptation to climate change have been focused on developing strategies that offer adaptive solutions to pressing problems such as flooding. For instance, they may recommend more investment on non‐structural methods for flood mitigation, as they are more adaptive than alternative structural methods and therefore more sustainable under climate change. An issue that has attracted less attention is the fact that the strategic plans themselves (or in a sense the decision‐making framework) need to be equally adaptive. Some of public institutions do not have adequate flexibility and promptness to change and rectify high‐level strategic plans. The study identifies the lack of an SDSS, which allows new scientific findings to be converted to new policies in a short period of time, as a reason for absence of promptness, responsiveness and flexibility in such organizations. This study makes an attempt to address this issue by suggesting a frame work that will enable a government institution to become more responsive to change.

Starting from the premise that digital screens are pervading our everyday urban and social environments to serve a variety of purposes, the purpose of this paper is to show how screens can be made aware of what is happening around them and – based on specific strategies – adapt accordingly the advertisement flow to supply to users more engaging contents.

The paper presents an overview of future pervasive advertisement scenarios, and sketches the architecture and implementation of a system for adaptive context‐aware pervasive advertisement. Subsequently, with the help of a simulation environment, the paper evaluates the performances of several adaptive context‐aware advertisement strategies, and compares them against non‐adaptive ones.

The paper demonstrates that, in a wide range of conditions, an advertisement system based on adaptive context‐aware strategies leads to a gain in terms of commercial value with respect to traditional non‐adaptive strategies for advertisement broadcasting.

A system for pervasive advertisement could be easily brought to life, leading advertisement companies to a much more targeted exploitation of the screen resource and, eventually, to higher revenues.

Adaptive advertisement systems can offer notable commercial advantages over traditional advertisement systems even when visitors demonstrate poor collaboration towards the system.

This study aims to develop and demonstrate a deposition framework for the implementation of a region-based adaptive slicing strategy for the Tungsten Inert Gas (TIG) welding-based additive manufacturing system. The present study demonstrates a deposition framework for implementing a novel region-based adaptive slicing strategy termed as Fast Interior and Accurate Exterior with Constant Layer Height (FIAECLH).

The mentioned framework has been developed by performing experiments using the design of experiments and analyzing the experimental data. Analysis results have been used to obtain the mathematical function to integrate customization in the process. The paper, in the end, demonstrates the FIAECLH framework for implementing region-based adaptive slicing strategy on the hardware level.

The study showcase a new way of implementing the region-based adaptive slicing strategy to arc-based metal additive manufacturing. The study articulating a new strategy for its implementation in all types of wire and arc additive manufacturing processes.

Wire-arc-based technology has the potential to deliver cost-effective solutions for metal additive manufacturing. The research on arc welding-based processes is being carried out in different dimensions. To deposit parts with complex geometry and better dimensional accuracy implementation of a novel region-based adaptive slicing strategy for the arc-based additive manufacturing process is an essential task. The successful implementation of an adaptive slicing strategy would ease the fabrication of complex geometry in less time. This paper accomplishes this need of implementing a region-based adaptive slicing strategy as no experimental investigation has been reported for the TIG-based additive manufacturing process.

This study aims to investigate salespersons’ self-monitoring and its effect on adaptive selling behavior. As salespeople are constantly facing different customers with various needs and want and engaging in a different sales situation, salespeople must deploy their inner capabilities in practicing adaptive selling behavior during and across sales interactions. This study also investigates the impact of salesperson’s intrapersonal leadership – where leadership stems from the individuals with the purpose to influence oneself.

Authors draw on the social cognitive theory of self-regulation to develop our model and examine the relationship between self-monitoring, thought self-leadership and adaptive selling behavior. We empirically test the model using data from 335 pharmaceutical salespeople working across several countries in Asia.

The results support the role of self-monitoring and thought self-leadership as antecedents to adaptive selling. Further, the results suggest that self-monitoring positively moderates the relationship between thought self-leadership and adaptive selling behavior. In light of these results, we explore implications and limitations and conclude by suggesting directions for further research.

The sampling method used was convenience sampling, which may limit the theoretical generalization of our results across all emerging markets. Moreover, this study examines the direct impact of self-management mechanism on adaptive selling behavior and the way it interacts with salesperson's thought self-leadership to strengthen adaptive selling behavior. However, the research model does not include organization-level drivers.

This study makes an important and original contribution to sales literature by demonstrating the direct and interaction effects of self-monitoring mechanism on a critical component of a business to business sales process, adaptive selling behavior. Results from this study highlight the critical importance of cognitive processes that drives positive selling behavior.

Although the role of self-leadership is important, it remains understudied in business-to-business (B2B) selling context. This study aims to provide insights into the drivers and outcomes of behavioral self-leadership tested through a sample working in pharmaceutical sales in an emerging economy. In accord, the authors investigate the relationships between self-efficacy, behavioral self-leadership, adaptive selling and ultimately sales performance. This study also investigates the moderating role of technical knowledge.

Data were gathered from 208 salespeople working in pharmaceutical industry. AMOS 21.0 and SmartPLS3.0 were utilized to test the conceptual framework.

The study finds that self-efficacy is positively related to behavioral self-leadership that in turn is positively related to adaptive selling and sales performance. In addition, counter intuitive findings were uncovered related to salesperson’s technical knowledge. Those with high technical knowledge exhibited weaker relationship between self-efficacy and behavioral self-leadership, behavioral self-leadership and adaptive selling and that between behavioral self-leadership and sales performance than their counterparts with low technical knowledge.

This study extends work on self-leadership by exploring the effect of self-efficacy and behavioral self-leadership on sales performance. This study also extends the theory on salesperson’s knowledge by proposing the counter-intuitive effect of knowledge and self-efficacy and knowledge and behavioral self-leadership on adaptive selling and sales performance.

Sales managers should consider that not all employees indulging in behavioral self-leadership would reap benefits from the same. As such, sales managers should assess the level of technical knowledge of the salesforce and when determining their training programs that develop such self-leadership skills.

The study is one of the first to consider the drivers and outcomes of behavioral self-leadership and technical knowledge in a B2B sales context. By focusing on the interplay between knowledge and self-efficacy and knowledge and behavioral self-leadership, this study provides greater understanding of the effects of behavioral self-leadership than previously expected by sales researchers.

Marketing adaptation has been considered a factor critical to a firm′s success in international markets. In order to know how companies can effectively adapt their marketing activities to international markets, one has to go beyond marketing function to understand the development of a firm′s experience curve advantage. Presents a framework for a firm to improve its adaptive abilities in developing appropriate marketing strategies for global expansion. Strategic managers should manage the process of investing organizational slacks in order to enhance adaptive ability. Globally‐oriented Taiwanese PC firms were studied to examine the relationship between a firm′s adaptive ability and its performance. Indicates that companies can improve performance by enhancing their adaptive abilities in the areas of technology, marketing mix and finance. Suggests further research.

The purpose of this paper is to develop a model which can measure the effect of perception on the assessment of cultural heritage by analysing the façades of buildings for adaptive re-use and sustainable development strategy.

This paper focusses on the correlation between adaptive re-use and sustainability of cultural heritage, by analysing the invisible social context which has an impact on the establishment of adaptive re-use strategies. The method adopted included literature review and applied experiments for extending the methodology of Langston on the adaptive re-use potential model in order to establish a new tool which can be applied to cultural heritage. The assessment process followed the integrated cultural heritage management approach to identify the indicators which can be implemented on cultural heritage, and, furthermore, for the sustainability of the environment.

The results demonstrate that the perception of the society can rely on different indicators which affect people to assert an artefact as cultural heritage. Furthermore, these indicators can have an impact on the adaptive re-use strategies regarding the interaction with society. Societies’ perception should not be omitted, and they need to be integrated while evaluating and developing the strategy of adaptive re-use. Therefore, a holistic approach to this process can bring continuity and sustainability to the environment.

No similar prior studies on the perception of cultural heritage as an approach to adaptive re-use strategies have been carried out. Therefore, it is hoped that this model can lead and guide, and, furthermore, be adopted in other similar situations in the assessment and decision-making process of adaptive re-use.