Tradespace exploration of in-space communications network architectures

Making architectural decisions in long lifecycle systems is challenging because the time between system definition and end of operations can span multiple decades, resulting in shifts in stakeholder needs and major advances in technologies. Space-based communications using relay satellite constellations is one such example, requiring substantial up-front planning to define capabilities and size capacity due to the large investment of time and resources. Additionally, there are numerous viable system architectures. In this paper, we build on existing methods to develop a graph-based decision method to assess and explore architectural flexibility in the future evolution of long lifecycle systems. The tradespace graph defines edges between similar architectures, quantifies the switching cost between architectures, using graphs to analyse the potential system evolution pathways. In a test case on NASA communication satellites, we find that hosting government communications payloads, in particular optical payloads, on commercial satellites could reduce cost and increase flexibility of the NASA network.     

Why do firms delete brands? Insights from a qualitative study

Large consumer goods firms manage and market an assortment of brands and consistently deal with strategic challenges related to brand portfolio management, such as creating or acquiring brands, growing brand equity, managing brands in the portfolio and deleting brands. There is substantial research on several areas of brand portfolio management except in the area of brand deletion. This situation exists despite the fact that deleting weak brands has important implications for a firm and its brand portfolio. Therefore, it is critical to understand why firms delete brands from their portfolios. This research applies a qualitative approach using semi-structured interviews and thematic analysis in the context of firms that adopt a ‘house of brands’ brand architecture and presents findings guided by the strategic decision-making literature.     

Teaching teenagers in finance: Does it work?

Many initiatives worldwide aim at improving financial literacy through targeted education programs, yet there is little evidence regarding their effectiveness. We examine the impact of a short financial education program on teenagers in German high schools. Our findings reveal that the training program significantly increases teenagers’ interest in financial matters and their financial knowledge, especially their ability to properly assess the riskiness of assets. Behaviorally, we observe a decrease in the prevalence of self-reported impulse purchases, but at the same time find no evidence of a significant increase in savings.     

Advancing tourism research through multilevel methods: research problem and agenda

Tourism research often encounters social phenomena and research problems that involve multiple levels. However, most researchers assume that the phenomena exist in a single level and perform analyses that do not reflect the hierarchical nature of social dynamics. This article heeds the call from Current Issues in Tourism by illustrating multilevel methods and proposing an agenda for multilevel research. In particular, this article seeks to reconcile the limitations of single-level analysis and to delineate how multilevel methods could be applied in tourism research. It further seeks to advance tourism theories by introducing more complex multilevel design with broader applications in various tourism settings. This article presents two common tourism research scenarios, critiques their limitations, and proposes how multilevel methods could not only address these limitations, but also how they could advance tourism theories. An empirical study is offered to demonstrate multilevel design and analytical techniques.     

The role of destination personality fit in destination branding: Antecedents and outcomes

Drawing from fit research in strategic management, this study develops and investigates a model predicting destination attitude and (re)visit intention. The study introduces the concept of destination personality fit on the basis of how well consumer perceptions of a tourist destination's brand personality fits that of what the destination brand manager wishes to convey. A model incorporating destination advertising awareness as an antecedent of destination personality and consumer‐manager destination personality fit is tested on international consumers with the destination personality of Switzerland as the study setting. Structural equation modeling results reveal that destination advertising awareness does indeed relate positively to both stronger perceived destination personality and destination personality fit in consumers’ minds. Interestingly, the subsequent destination personality–destination attitude relationship is moderated by consumer–manager destination personality fit in such a way that the link grows stronger in cases where fit is high. The results have important implications for destination brand managers in that they reinforce the importance of strong and distinct destination personalities. The findings also show the importance of actively communicating the destination brand to consumers since the positive outcomes of a strong destination personality increase in magnitude when successfully communicated, and the vision of the destination brand manager has been adopted by the consumer.     

A fuzzy goal programming approach to analyse sustainable development goals of India

Energy policy, environmental planning and economic development play a key role in sustainable development. Sustainable development requires suitable and strategic policies satisfying multiple and conflicting objectives. Fuzzy goal programming (FGP) is a well-known approach in multi-criteria decision-making for its practical application. In this article, a FGP approach is proposed to analyse environmental, energy and sustainability goals of India by the year 2030 with reference to the key economic sectors of India. The presented model analyses the improvement opportunities, requirement of efforts and implementation of the sustainable development plans. Numerical illustration is also provided for validation and application of the proposed model.     

Decision-making in incomplete markets with ambiguity—a case study of a gas field acquisition

We apply utility indifference pricing to solve a contingent claim problem, valuing a connected pair of gas fields where the underlying process is not standard Geometric Brownian Motion and the assumption of complete markets is not fulfilled. First, empirical data are often characterized by time-varying volatility and fat tails; therefore, we use Gaussian generalized autoregressive score (GAS) and GARCH models, extending them to Student’s t-GARCH and t-GAS. Second, an important risk (reservoir size) is not hedgeable. As a result, markets are incomplete which makes preference free pricing impossible and thus standard option pricing methodology inapplicable. Therefore, we parametrize the investor’s risk preference and use utility indifference pricing techniques. We use Least Squares Monte Carlo simulations as a dimension reduction technique in solving the resulting stochastic dynamic programming problems. Moreover, an investor often only has an approximate idea of the true probabilistic model underlying variables, making model ambiguity a relevant problem. We show empirically how model ambiguity affects project values, and importantly, how option values change as model ambiguity gets resolved in later phases of the projects. We show that traditional valuation approaches will consistently underestimate the value of project flexibility and in general lead to overly conservative investment decisions in the presence of time-dependent stochastic structures.     

Understanding the factors affecting the adoption of the Internet of Things

The Internet of Things (IoTs) is widely considered as one of the most important infrastructures for promoting economic development and technological innovation. The purpose of this study is to find the key factors influencing IoT adoptions, specifically in Taiwan’s logistics industry. In this study adopts a model which is a hybrid of technology, organisation and environment (TOE) and the decision-making trial and evaluation laboratory method (DEMATEL) to evaluate the complex factors influencing the adoption of IoT. The study employs the TOE framework as a basis to develop a general evaluation framework, and the DEMATEL technique conceptualises a structural model and then identifies the causal relationships among factors through a cause-effect relationship diagram. Finally, we also divided the complex influencing factors into cause and effect groups to better clarify the causal relationships for decision-making, to ensure the efficiency of IoT adoption.     

Exploring the relationships between motivation,attachment and loyalty within sport event tourism

Attendance at sports events continues to rise, as evidenced by increased attendance across a range of sports events in 2014. Despite this, destinations that host live sports events struggle to attract repeat visitors outside scheduled events. This study aims to better understand the relationship between motivation, attachment and loyalty within event tourism. This paper discusses the existing contributions in these areas by drawing on sport and tourism literature and is the first to investigate the relationship across all three constructs. Within this paper, we develop the initial outline of a theoretical model, which depicts these relationships.