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Although “engagement” is receiving increasing attention in the marketing literature, the characteristics and dynamics characterizing this concept in specific contextual conditions, including consumers’ selection of particular music and ensuing music-related behaviors, remain nebulous to date. This study aims to develop the concept of consumers’ musical engagement (ME) and explore it within a broader nomological network of conceptual relationships.

To investigate the research gap, the authors deploy a survey sampling 2,498 US-based adults to develop and confirm a 25-item ME scale. The authors also test their scale in a broader nomological network of specific theoretical relationships using regression and mediation modeling.

The authors identify three ME factors, namely, social identity, transportive and affect-inducing engagements. The authors find ME to exhibit a nonlinear effect on music consumption with increasing returns. Although both social identity and transportive experiences represent significant predictors of music consumption, the effect of affect-inducing experience is non-significant. Further, the social identity experience has a significantly greater association with music consumption than the transportive experience.

This paper provides a conceptualization and an associated diagnostic tool for ME, in addition to initial insight into the role of ME in a broader nomological network of conceptual relationships. Based on the identified research limitations, the authors also provide key future research directions for ME.

The insight attained into ME may be used to underpin the design, implementation and evaluation of managerial ME-based tactics and strategies in the music industry. In particular, the authors find that successful appeals to consumers’ social identity engagement are a significant driver of increased future music consumption. The authors provide a number of managerial recommendations to develop this particular ME dimension.

This paper provides an ME conceptualization and an associated scale and explores ME within a broader nomological network of theoretical relationships. The authors also draw key implications from these analyses.

Information technology (IT) development methodologies may be described as another bastion of rationalist, positivist, functionalist hegemony. The paper historically reviews IT development methodologies of the past 30 years. The major methodologies of the Classical Systems Life Cycle, Structures Systems Development, Data Modeling and Object Oriented Analysis are briefly reviewed in terms of their ubiquitously quoted evolution and maturation and the benefits they purport to offer IT specialists and managers, general management and user groups. This paper argues that, while it has traditionally been the case that such methodologies be compared on a case‐by‐case basis, it is time to step back from the traditionally reductionist, positivist approaches of IT. IT methodological development is considered here from a critical, anti‐positivist perspective. It is suggested that qualitiative research methodologies be employed to assist in creating a new IT development epistemology to spare us from further IT implementation disasters.

This paper aims to investigate whether or not ongoing sales promotion contributed to the declines in “no brand preference” (NBP). Part of an ongoing series investigating the growth of US consumer’s responses of NBP for more than 1,500 frequently purchased consumer product brands. Data were drawn from responses to a very large (1.1 million) online longitudinal consumer questionnaire during 2002-2012.

Additional research, combining this data set with two other major US longitudinal studies, confirmed results. This study focused on determining reasons for NBP increase. Initial data set included use of and influence of 23 in-store promotional tools. These were investigated to determine impact and effect.

Four leading sales promotional tools, based on consumer influence, were coupons, home samples, in-store samples and retail shopper cards. Shopper cards had most influence on purchase of secondary, not primary brands in categories. Shopper cards are a clearly underused promotional tool in building brand preference and sales.

Limited to US consumer products only. No attempt made to connect media advertising and in-store media impact or effect.

Future investigation should focus on other geographies, synergy between media advertising and promotional techniques. Also, the study is all aggregated data; individual brand investigations should be made. Shopper cards appear to be a major opportunity for secondary brands. More focus on cooperative activities between brands and retailers would benefit both.

Paucity of longitudinal customer-view research on shopper cards identifies both manufacturer and retailer opportunities, particularly secondary brands.

In recent years, many U.S. direct marketers have expanded their efforts into Asia. A few studies of consumers’ attitudes towards direct marketing were conducted outside of the United States in order to ascertain their attitudes towards direct marketing, privacy, environmental concerns, and trust issues. International direct marketers must take care to respect these issues before entering new countries, such as Taiwan and other emerging markets. The following article reports the results of a survey done in both the U.S. and Taiwan.

The paper introduces and illustrates the use of numerical models for the simulation of electromagnetic and thermal processes in an absorbing ceramic layer (susceptor) of a new millimeter-wave (MMW) heat exchanger. The purpose of this study is to better understand interaction between the MMW field and the susceptor, choose the composition of the ceramic material and help design the physical prototype of the device.

A simplified version of the heat exchanger comprises a rectangular block of an aluminum nitride (AlN) doped with molybdenum (Mo) that is backed by a thin metal plate and irradiated by a plane MMW. The coupled electromagnetic-thermal problem is solved by the finite-difference time-domain (FDTD) technique implemented in QuickWave. The FDTD model is verified by solving the related electromagnetic problem by the finite element simulator COMSOL Multiphysics. The computation of dissipated power and temperature is based on experimental data on temperature-dependent dielectric constant, loss factor, specific heat and thermal conductivity of the AlN:Mo composite. The non-uniformity of patterns of dissipated power and temperature is quantified via standard-deviation-based metrics.

It is shown that with the power density of the plane wave on the block’s front face of 1.0 W/mm², at 95 GHz, 10 × 10 × 10-mm blocks with Mo = 0.25 – 4% can be heated up to 1,000 °C for 60-100 s depending on Mo content. The uniformity of the temperature field is exceptionally high – in the course of the heating, temperature is evenly distributed through the entire volume and, in particular, on the back surface of the block. The composite producing the highest level of total dissipated power is found to have Mo concentration of approximately 3%.

In the electromagnetic model, the heating of the AlN:Mo samples is characterized by the volumetric patterns of density of dissipated power for the dielectric constant and the loss factor corresponding to different temperatures of the process. The coupled model is run as an iterative procedure in which electromagnetic and thermal material parameters are upgraded in every cell after each heating time step; the process is then represented by a series of thermal patterns showing time evolution of the temperature field.

Determination of practical dimensions of the MMW heat exchanger and identification of material composition of the susceptor that make operations of the device energy efficient in the required temperature regime require and expensive experimentation. Measurement of heat distribution on the ceramic-metal interface is a practically challenging task. The reported model is meant to be a tool assisting in development of the concept and supporting system design of the new MMW heat exchanger.

While exploitation of a finite element model (e.g. in COMSOL Multiphysics environment) of the scenario in question would require excessive computational resources, the reported FDTD model shows operational capabilities of solving the coupled problem in the temperature range from 20°C to 1,000°C within a few hours on a Windows 10 workstation. The model is open for further development to serve in the ongoing support of the system design aiming to ease the related experimental studies.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

The growth in flexible working by employees in many office‐based organisations means that workstation sharing at the employer's premises is increasingly attractive. However, because of peaks and troughs in demand it is difficult to decide how many workstations should be provided. The purpose of this paper is to investigate the cost‐effectiveness of alternative workstation sharing strategies.

The study used an agent‐based simulation model with two input variables: the employees' reaction if they are blocked (i.e. they find that all workstations are already occupied), and the number of workstations at the employer's premises. The simulation was run for 56 scenarios. The results were evaluated by assigning cost penalties for workstations, blocking and displacement; there were eight cost regimes reflecting different organisational characteristics.

The simulations showed trade‐offs between the activity and space variables, in terms of utilisation, blocking and displacement. When costs were applied the output of the simulation runs, the most cost‐effective scenarios varied markedly with the different cost regimes.

The variation in optimum strategies with different model input values suggests that cost‐effective workstation sharing strategies must be developed on a case‐by‐case basis. The simplifying assumptions in the model must be considered when applying the findings to real organisations.

Quantified analysis of the cost‐effectiveness of workstation sharing strategies has not been found previously in the literature.

The paper seeks to provide a consistent theoretical framework to measure national intellectual capital (IC) and also empirical evidence on the core factors which explain countries' IC stocks.

A multidisciplinary theoretical framework is provided to underpin research on regional/national IC. Empirical evidence through multivariate methodology is used in order to design a method to extract the national IC drivers which can explain countries' IC stocks in OECD countries in the years 2002, 2003, 2004 and 2005.

Theoretical bases of IC are presented to contribute to expanding territorial IC fundamentals and a regional/national IC model is developed. Results show that technological capability and the governmental policy oriented to business are both key factors in mapping the position of the nation in the IC ranking and both are mainly responsible for the levels of countries' IC.

The sample was limited to OECD countries.

The paper is a very useful source of information for policymakers. The paper also opens a necessary debate on the critical areas that need to be reinforced in order to develop regional and national knowledge and national IC platforms. The IC index offered thus explains the key areas in need of improvement in order to upgrade the national IC.

To date, no study has identified the critical IC areas, but rankings have been drawn up with no conclusions at all. This exploratory study adds new empirical evidence to fill this gap in the research.

This article deals with a social phenomenon in which individuals organise locally to promote their personal safety.

The authors construct an intertemporal model of rent-maximizing behavior on the part of a timber harvester under potentially multidimensional risk as well as geographical heterogeneity. Subsequently, the authors use recursive methods (specifically, the method of stochastic dynamic programing) to characterize the optimal policy function – the rent-maximizing timber-harvesting profile. One noteworthy feature of their application to forestry in the province of British Columbia, Canada is the unique and detailed information the authors have organized in the form of a dynamic geographic information system to account for site-specific cost heterogeneity in harvesting and transportation, as well as uneven-aged stand dynamics in timber growth and yield across space and time in the presence of stochastic lumber prices. Their framework is a powerful tool with which to conduct policy analysis at scale.