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The purpose of this paper is to establish a three-dimensional flow field model of the Invar alloy laser–metal inert gas (laser–MIG) hybrid welding process to investigate the influence of different heat sources between different layers and to analyze the flow field based on the two different heat source models for the multilayer welding.

The Invar steel plates with 19.5 mm thickness are welded into three layers’ seam using the hybrid laser–MIG welding technology. The flow field based on different heat source models is studied and then used to investigate the influence of different heat sources in different layers during the laser–MIG hybrid welding process. The simulation results of flow field using two different heat source models are compared with experiments.

The flow field simulations results show that using the Gaussian rotating body heat source model to simulate the temperature field is more consistent with the experiment of the hybrid laser–MIG welding where its flow field between different layers better reflects the characteristics of the hybrid laser–MIG welding.

The findings will be useful in the study of a variety of thick-plate laser–MIG hybrid welding process fluid flows.

This is a case study on the opportunities provided by Open Source library systems and the experience of delivering these systems through a shared service.

This chapter derives from desk research, interviews, and direct involvement in the project. The format is a case study, setting out a detailed timeline of events with information that can be applied in other settings.

This chapter presents reflections on the value and limitations of collaboration amongst libraries and librarians on an innovative approach to library systems and technologies. It also presents reflections on lessons learned from the processes and detailed discussion of the success factors for shared services and the reasons why such initiatives may not result in the outcomes predicted at the start.

Libraries and IT services considering Open Source and shared service approaches to provision will find material in this study useful when planning their projects.

The nature of collaboration and collaborative working is studied and observations made about the way that outcomes cannot always be predicted or controlled. In a genuine collaboration, the outcome is determined by the interactions between the partners and is unique to the specifics of that collaboration.

The case study derives from interviews, written material and direct observation not generally in the public domain, providing a strong insider’s view of the activity.

Purpose – This experimental economics study using brain imaging techniques investigates the risk-ambiguity distinction in relation to the source preference hypothesis (Fox & Tversky, 1995) in which identically distributed risks arising from different sources of uncertainty may engender distinct preferences for the same decision maker, contrary to classical economic thinking. The use of brain imaging enables sharper testing of the implications of different models of decision-making including Chew and Sagi's (2008) axiomatization of source preference.

Methodology/approach – Using fMRI, brain activations were observed when subjects make 48 sequential binary choices among even-chance lotteries based on whether the trailing digits of a number of stock prices at market closing would be odd or even. Subsequently, subjects rate familiarity of the stock symbols.

Findings – When contrasting brain activation from more familiar sources with those from less familiar ones, regions appearing to be more active include the putamen, medial frontal cortex, and superior temporal gyrus. ROI analysis showed that the activation patterns in the familiar–unfamiliar and unfamiliar–familiar contrasts are similar to those in the risk–ambiguity and ambiguity–risk contrasts reported by Hsu et al. (2005). This supports the conjecture that the risk-ambiguity distinction can be subsumed by the source preference hypothesis.

Research limitations/implications – Our odd–even design has the advantage of inducing the same “unambiguous” probability of half for each subject in each binary comparison. Our finding supports the implications of the Chew–Sagi model and rejects models based on global probabilistic sophistication, including rank-dependent models derived from non-additive probabilities, e.g., Choquet expected utility and cumulative prospect theory, as well as those based on multiple priors, e.g., α-maxmin. The finding in Hsu et al. (2005) that orbitofrontal cortex lesion patients display neither ambiguity aversion nor risk aversion offers further support to the Chew–Sagi model. Our finding also supports the Levy et al. (2007) contention of a single valuation system encompassing risk and ambiguity aversion.

Originality/value of chapter – This is the first neuroimaging study of the source preference hypothesis using a design which can discriminate among decision models ranging from risk-based ones to those relying on multiple priors.

The purpose of this paper is to report on an action research project with two emergent micro-businesses that explored how their business model connected with the principles of open source.

The authors first gained initial qualitative data to establish the core values of each micro-business, which the authors then explored in the context of open source and business models in two design workshops with each organisation.

The authors developed the open source guild business model, which has the elements of: building a focal micro-business with resources secured through the guild, promoting learning and development through apprenticeship, promoting shared values through a commons of experience and capturing value by protecting key intellectual property.

This research was undertaken with two emergent micro-businesses in the North West of England. Further research will be needed to establish the wider applicability of the open source guild model.

The open source guild model can be a mechanism for an emergent micro-business to create a community around their values and grow their business without conventional external investment of resources.

This research contributes to the literature on business models based on open source and how these models can be sustainable in terms of the quadruple bottom line, which extends the triple bottom line to include personal values and meaning.

Power is an important construct in retailing and channel literature. Power is studied in improving the performance of the firm, but less emphasis is given on the behavioral changes that lead to an improvement in performance. The purpose of this paper is to focus on the relationship between sources of power and channel members’ trust, affective commitment, agent dependence and environmental munificence individually. Also, the paper examines the interrelationship among coercive, expert, referent, legitimate and reward sources of power.

The study uses a structured questionnaire to collect data from 214 channel members from an Indian oil company. The study uses a covariance-based structural equation modeling (SEM) approach for establishing the interrelationship among sources of power. Also, the study uses partial least squares SEM approach for determining the relationship between power sources and channel members’ behavior.

The study establishes that the dichotomous nature of power, i.e. coercive and non-coercive power source exists independently in an emerging country context. Further, coercive power sources are negatively and non-coercive power sources are positively associated with trust. Also, coercive and reward power sources are positively associated with agent dependence, whereas expert, referent and legitimate power sources are positively related to affective commitment. Finally, referent power is found to be positively associated with environmental munificence.

The paper offers several managerial implications. For practitioners, the paper highlights that application of coercive and non-coercive power sources can bring the desired change in channel members’ behavior. Also, acknowledging the power position between channel leader and channel member can foster more efficient association.

The paper contributes to the literature on channel management by enhancing the understanding of sources of power and their influence on the behavior of channel members. First, the study examines the relationship between channel members’ behavior of trust, affective commitment, agent dependence and environmental munificence and five sources of power. Second, the study establishes the interrelationship among sources of power. Finally, the paper outlines the implications for managers for effective use of sources of power in channel management.

Generating an in-depth understanding of information needs and seeking behaviour is important both for restructuring existing agricultural information systems (ISs) and for creating new ISs. Many information seeking models have been developed over the years, most are narrowly focused on a specific role or discipline. However, no such specific model has been developed in reference to agriculture or an allied discipline. Thus, the purpose of this paper is to develop a model to explore the information seeking behaviour (ISB) of farmers.

The model proposed in this paper is based on Wilson’s model. The theoretical insights and empirical evidences comprehended at the study were embedded into Wilson’s model to develop a model that explores the ISB of farmers. The proposed model was quantitatively evaluated using empirical data gathered through a survey of 289 farmers. Furthermore, the model was qualitatively evaluated by subject experts against criteria of simplicity, comprehensiveness, exactness, generality and clarity.

The key finding of this study is the model developed to explore the ISB of farmers. The adapted model provides theoretical and empirical bases for exploring farmers’ ISBs. Thus, the model will be useful in developing valuable design insights to apply to user-centred agricultural ISs.

The originality of this study relates to its demonstration of how existing models can be reconsidered and adapted based on related literature and then tested and presented as adapted models. The proposed model will be useful to promote informational studies in agriculture.

This paper aims to explore the role of source credibility while purchasing environment-friendly products using Ajzen’s (1991) theory of planned behavior as underpinning model.

The proposed theoretical model was empirically tested with the data collected from 334 respondents using structural equation modeling.

The results gave empirical support to the addition of source credibility to the original theory of planned. Moreover, consumer attitude was found mediating the effect of corporations’ credibility on purchase intention. Also, attitude and perceived behavioral control were found as the most important predictors of consumer’s intention to purchase environment-friendly products.

This study provides valuable insights for the marketers engaged in sustainable business practices. Amid, ever-increasing carbon emission, promoting the use of environment-friendly products has become the need of the time. Credibility plays a crucial role while promoting and communicating an organization’s sustainable practices among its stakeholders including consumers. Therefore, the marketer should formulate appropriate marketing communication strategy to communicate the consumer about the green practices and environment-friendly products they produce. The results suggest that corporation’s credibility shapes consumer attitude and influences intention to purchase environment-friendly products. Earning trust of the consumer is pivotal to achieve success in the market. Therefore, results may help the marketers to better understand consumer’s response toward their marketing strategies and further convince and persuade them to buy their products.

The findings of this study may be useful for marketers, strategists, policymakers and government while formulating promotional strategies to make consumer aware, educate and persuade them to purchase products which do not cause harm to the environment.

The study is novel in terms of exploring role of source credibility and extending theory of planned behavior in the context of sustainable consumption.

Second-order expectations refer to an actor's beliefs about what a co-actor believes with respect to their relative abilities on a shared task. The authors describe and compare three alternative programs of research that explain the effects of second-order expectations on behavioral inequalities in task groups. The authors’ overall goal is to work toward improving the precision and generality of theories of second-order expectations.

The authors conduct a thorough review of theory and research on each of the three alternative models of second-order expectations. In so doing, they highlight areas of convergence and divergence in terms of theory, method, and empirical support. They also suggest research designs that can help clarify the effects of second-order expectations in task groups and adjudicate among the models.

New empirical studies are needed that attempt to replicate findings across the three approaches to modeling second-order expectations. In addition, the three approaches need to be directly compared at the same time using a shared experimental design and the same participant population.

This is the first effort to systematically and critically compare and contrast three competing models of second-order expectations in structural social psychology. The authors offer a number of original, specific recommendations for future research.

This paper aims to present a new iterative procedure for the 3D representation of focusing magnetic fields in TWTs generated by PPMs, by using equivalent sources and optimisation algorithms.

In the integrated optimisation strategy general models for magnetic sources are employed and local and global inverse problems are iteratively solved for the minimization of the representation error.

The results obtained show that the target accuracy is reached with a low computational effort, employing a minimum number of equivalent sources.

The procedure is robust and converges for all the examined magnetic field configurations.

Different from other approaches, the procedure presented here can be directly applied to a variety of different models for magnetic sources.

The paper aims to develop a particle matter (PM_2.5) prediction model for open-plan office space using a variety of data sources. Monitoring of PM_2.5 levels is not widely applied in indoor settings. Many reliable methods of monitoring PM_2.5 require either time-consuming or expensive equipment, thus making PM_2.5 monitoring impractical for many settings. The goal of this paper is to identify possible low-cost, low-effort data sources that building managers can use in combination with machine learning (ML) models to approximate the performance of much more costly monitoring devices.

This study identified a variety of data sources, including freely available, public data, data from low-cost sensors and data from expensive, high-quality sensors. This study examined a variety of neural network architectures, including traditional artificial neural networks, generalized recurrent neural networks and long short-term memory neural networks as candidates for the prediction model. The authors trained the selected predictive model using this data and identified data sources that can be cheaply combined to approximate more expensive data sources.

The paper identified combinations of free data sources such as building damper percentages and weather data and low-cost sensors such as Wi-Fi-based occupancy estimator or a Plantower PMS7003 sensor that perform nearly as well as predictions made based on nephelometer data.

This work demonstrates that by combining low-cost sensors and ML, indoor PM_2.5 monitoring can be performed at a drastically reduced cost with minimal error compared to more traditional approaches.