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In this paper we study a class of complexity measures, induced by a new data structure for representing k-valued functions (operations), called minor decision diagram. When assigning values to some variables in a function the resulting functions are called subfunctions, and when identifying some variables the resulting functions are called minors. The sets of essential variables in subfunctions of f are called separable in f.

We examine the maximal separable subsets of variables and their conjugates, introduced in the paper, proving that each such set has at least one conjugate. The essential arity gap gap(f) of the function f is the minimal number of essential variables in f which become fictive when identifying distinct essential variables in f. We also investigate separable sets of variables in functions with non-trivial arity gap. This allows us to solve several important algebraic, computational and combinatorial problems about the finite-valued functions.

Purpose — The research was designed to explore people's willingness/ability to understand complex road user charges. However, the results raise issues about respondent engagement and ecological validity and so have important implications for questionnaire practice.

Methodology — Computer-based experiments administered in the United Kingdom and Germany gathered respondents' estimates of road user charges along with their response latencies, personal characteristics, acceptance of road charging, assessments of task complexity and attitudes to analytical tasks.

Findings — The results demonstrate questionnaire learning effects and show the effect of personal characteristics on the accuracy and speed of questionnaire completion. The tendency of males, younger people and students to complete the task more quickly is interesting as is the fact that fewer and smaller errors were made by participants who claimed to gain satisfaction from completing a task which has involved mental effort. Engagement was seen to vary with personal characteristics, attitudes to decision making, task complexity and acceptance of the policy being tested. A key finding is that disengagement was more evident among participants who were broadly supportive of road charging than among those who were not.

Implications — The findings have important implications for the design of data collection exercises and for the interpretation of resulting data. It is concluded that repeated choice experiments are an inappropriate source of data on responses to unfamiliar circumstances. The collection of data on response latencies and the inclusion of questions on respondents' attitudes to task completion is a strongly recommended addition to standard questionnaire practice. The extent to which disengagement in an experimental context is, or is not, indicative of real-world behaviour is an important and urgent subject for further research.

The purpose of this paper is to examine the attributes of innovation adoption and its effects on the performance of Malaysian manufacturing SMEs.

Quantitative data were collected from 360 randomly selected manufacturing SMEs through structured interviews.

The findings of the study confirmed that, in Malaysian manufacturing SMEs, the degree of persuasion (i.e. relative advantages, compatibility, complexity, trialability and observability), strategic orientation (i.e. consumer, market and entrepreneurship) and firm antecedents (i.e. prior condition, knowledge and risk orientation) have significant effects on the innovation (i.e. product, process and service) adoption and performance of SMEs.

For policymakers, this study emphasizes the areas to focus on the development of an effective innovation ecosystem for an innovation-led economy. Because SMEs operate with limited resources and capacity, the programs and policies for innovation support systems must focus on providing new innovation information, cost-benefit analyses for new innovation adoption, innovation adoption processes and how new innovations affect performance.

The paper examines an important, but under-researched issue – designed and tested a model under the premises of the DOI and organizational diffusion of innovation theories which improve the knowledge and understanding about the innovation adoption by manufacturing SMEs.

The replacement of man by computers and automated machinery continues. Reading machines are now being used in increasingly large numbers (a) to provide input data to computers and (b) to activate equipment that performs minor tasks. The complexity of these tasks is expected to increase swiftly.

Multiple-input multiple-output (MIMO) combined with multi-user massive MIMO has been a well-known approach for high spectral efficiency in wideband systems, and it was targeted to detect the MIMO signals. The increasing data rates with multiple antennas and multiple users that share the communication channel simultaneously lead to higher capacity requirements and increased complexity. Thus, different detection algorithms were developed for the Massive MIMO.

This paper focuses on the various literature analyzes on various detection algorithms and techniques for MIMO detectors. Here, it reviews several research papers and exhibits the significance of each detection method.

This paper provides the details of the performance analysis of the MIMO detectors and reveals the best value in the case of each performance measure. Finally, it widens the research issues that can be useful for future researchers to be accomplished in MIMO massive detectors

This paper has presented a detailed review of the detection of massive MIMO on different algorithms and techniques. The survey mainly focuses on different types of channels used in MIMO detections, the number of antennas used in transmitting signals from the source to destination, and vice-versa. The performance measures and the best performance of each of the detectors are described.

This paper aims to develop and test a conceptual model of organizational structure design that incorporates some factors influencing strategy implementation. The research also aims to consider inter‐functionality in new product development (NPD) processes and marketing decisions, measured from the dispersion of these activities among functional areas.

The research was conducted across 424 small and medium‐sized furniture manufacturing companies. In total, eight hypotheses were proposed and tested using structural equation modeling.

Most important among the study's findings was that inter‐firm relationships and inter‐functional processes are relevant for the study of organizational structure design. It was found that the dispersion of the new product development process and of marketing decisions exert a positive influence on architectural marketing capabilities. The results showed that the dispersion of NPD processes and marketing decisions influence the development of marketing capabilities only in those companies with inter‐firm relationships. The paper also found that inter‐firm design did not affect the impact of the relationship between the dispersion of marketing decisions and NPD process on specialized capabilities.

The study focuses research on Brazilian small to medium‐sized furniture enterprises and could have single‐source bias in its data collection process.

The findings provide insights into ways of integrating structures. It is observed that a higher integration of areas in marketing decisions is related to the dispersion of the NPD process. Given that dispersion in NPD is a disseminated practice, it is found that higher dispersion in marketing activities has an impact on product development.

The paper's findings confirm the influence of organizational design on the development of planning capabilities and on the implementation of marketing strategies.

The purpose of this study is twofold: identifying important determinants for effective adoption of internet technologies in an organizational supply chain context and examining and classifying benefits yielded from internet adoption in supply chain.

A structured Web-based questionnaire was designed and administered to respondents to collect the primary data. With two reminders, this study managed to obtain 236 respondents from different industries in Malaysia. Structural equation modelling was applied to test the seven hypotheses.

Four of five factors were significant for successful implementation of internet technologies in organizations. In addition, results suggested that internet technologies contribute more to operational activities rather than strategic initiatives, which would be one of the main contributions of this study.

This study is limited by its being based on organizational perception rather than absolute value for measuring the benefits of internet adoption. Moreover, this study applied the cross-sectional technique which may limit generalizability of the findings.

This study provides in-depth knowledge about internet adoption and benefits for the organization by combining both theoretical and empirical knowledge. It helps managers to understand the importance and process of internet adoption.

Organizations who are interested in adopting the internet in their supply chain may feel that these results will guide them in making their final decision.

In this commentary, we discuss the tutorial by Cohen and Doveh (this volume) on using multi-level models to estimate and test hypotheses about (dependent) intra-class correlations (ICCs). The goal in this context is to find subsets of homogeneous ICCs across time points and/or experimental tasks. We suggest that one should approach this model selection problem by (a) specifying the set of all possible models, (b) using a systematic top-down selection strategy that avoids possible inconsistent and intransitive patterns in the results, and (c) using the entire dataset available when fitting each model. Our goal is to discuss the larger framework in which the specific models considered by Cohen and Doveh in their analysis are embedded, which should be useful in guiding researchers faced with a similar analysis task.

The aim of this paper is to present a research approach that can contribute to a sustainable development of urban spaces for sports and physical activity, comprising theoretical reflections and directions for applied research.

This research builds on an urban real-world lab in a city district. It is based on principles of transdisciplinary research and intense processes of participation.

Five projects with regard to sport and physical activity development were implemented. The projects resulted in exchange and learning of citizens and other stakeholders as well as transformations of the social and built environment.

Instead of top-down research and planning this approach enables bottom-up processes in which affected citizens and stakeholders can contribute to sport and physical activity development.

The approach can help to integrate sport and physical activity development and transformative processes of sustainable development in urban areas.

Through participation and involvement, citizens can be empowered and social capital can be generated.

Urban real-world labs are a new approach for sport and physical activity development. This approach opens up the possibility to include sport and physical activity development in processes of city development. Hence, urban real-world labs are able to address an integrated urban and sport development process and can be used for city marketing purposes.

The paper aims to outline the managerial challenges faced by the organizations interested in leveraging knowledge and creative talent embedded in online customers' communities to sustain innovation in b‐2‐c industries.

Through a detailed case study analysis of a leading food producer who launched an online open collaborative platform to gather users' idea for new products the paper aims to highlight the transformational effort that firms have to make in order to leverage knowledge absorption from customers in the context of innovation.

The paper suggests potential strategies for conventional companies to engage consumers in knowledge (co‐creation) and collaborative innovation processes, formulating some hypothesis that could support an interpretative model of the capabilities needed to develop, maintain and increase customers' engagement in the exchange.

The paper presents the first results of an ongoing research that needs to be deepened and widened to cover other kinds of business sectors.

On the basis of the case analyzed, the paper suggests some managerial actions that could be adopted to facilitate customers' engagement in processes of collaborative learning and innovation, outlining the potential barriers (in primis managerial reluctance) that could prevent a successful result.

The case contributes to the literature on co‐creation, demonstrating how it can be progressively achieved and improved, through a combination of management and marketing strategies, addressed at accruing not only users' motivation but also managerial commitment.