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The purpose of this paper is to develop an automated industrial robotic system for handling steel castings of various sizes and shapes in a foundry.

The authors first designed a prismatic gripper for pick-and-place operations that incorporates underactuated passive hydraulic contact (PHC) phalanges that enable the gripper to easily adapt to different casting shapes. The authors then optimized the gripper parameters and compared it to an adaptive revolute gripper using two methods: a planar physics based quasistatic simulation that accounts for object dynamics and validation using physical prototypes on a physical robot.

Through simulation, the authors found that an optimized PHC gripper improves grasp performance by 12 per cent when compared to an human-chosen PHC configuration and 60 per cent when compared to the BarrettHand™. Physical testing validated this finding with an improvement of 11 per cent and 280 per cent, respectively.

This paper presents for the first time optimized prismatic grippers which passively adapt to an object shape in grasping tasks.

The purpose of this paper is to investigate consumer channel preferences and the motives that induce consumers to use a particular channel in a context of multichannel contact.

This paper analyses some factors that influence consumer behaviour in channel selection through an empirical study in the financial sector. Some hypotheses are presented and tested.

The paper reveals the influence of some variables (perceived convenience, social relationships, knowledge of channel and privacy) on the channel selected (counter, ATM or internet) for the performance of certain operations with the company.

To generalise these findings this study needs to be replicated in other geographical areas and companies.

The multichannel contact centre is one of the fundamental pillars of customer relationship management. It is not enough simply to have the necessary technology (hardware, software and telecommunications). Companies must investigate consumer channel preferences and the motives that induce consumers to use a particular channel.

This study is a reflection on the new environment of the relationship between companies and their clients due to the influence of new information and communication technologies. In this new context, knowledge of the consumer is as necessary as knowledge of the technology.

The Iranian entrepreneurial ecosystem has grown dramatically during the past decade. Several improvements have been made at different levels, and, therefore, one could witness its unique achievements. Digital entrepreneurs are an integral part of this ecosystem, as most of the early achievements are the results of their proactive behaviors. Hopefully, the number of female digital entrepreneurs has increased, and their entrepreneurial activities have profoundly changed the competition scene. Therefore, this chapter provides a better understanding of the multilayered entrepreneurial ecosystem of Iran and then elaborates how female entrepreneurs are positioned in this ecosystem. Moreover, six well-known award-winning female digital entrepreneurs are introduced, and their challenges are scrutinized accordingly through narrative research. Finally, the chapter concludes with some remarks and directions for future research.

The purpose of this paper is to develop and empirically test a conceptual model to predict the determinants of online channel use in a multi‐channel environment.

A case study of a free, multi‐channel entertainment magazine is used to statistically analyse a proposed model of customers' channel use (n=224) using an online survey of real consumers.

The findings in the paper confirm a number of determinants of consumer attitudes. Subjective norms and consumer attitudes positively affect behavioural intention to use and intentions directly relate to actual use. The results also indicate that three constructs (i.e. enjoyment, marketing efforts and age), one from each three main determinant groups (i.e. marketing variables, individual difference variables and channel attributes), are likely to be an accurate predictor of consumer attitudes.

The paper shows that enjoyment was an important factor among the younger, socially aware and somewhat hedonistically‐oriented consumers of the magazine. Firms should track consumer preferences from registration and then should try to create activities that give consumers enjoyment. Linking together of marketing efforts is very important. Advertising can be a great opportunity to grow online operations. Search engines and the use of incentives (prizes) can be useful in this regard. Firms should also advertise their web site through the offline channel or any places that can reach target consumers. A good mix of offline and online advertising can present a message and reinforce it for consumers in different channels.

This paper contributes towards understanding consumer behaviour in the online channel use context in a multi‐channel environment.

Current practices in data classification and retrieval have experienced a surge in the use of multimedia content. Identification of desired information from the huge image databases has been facing increased complexities for designing an efficient feature extraction process. Conventional approaches of image classification with text-based image annotation have faced assorted limitations due to erroneous interpretation of vocabulary and huge time consumption involved due to manual annotation. Content-based image recognition has emerged as an alternative to combat the aforesaid limitations. However, exploring rich feature content in an image with a single technique has lesser probability of extract meaningful signatures compared to multi-technique feature extraction. Therefore, the purpose of this paper is to explore the possibilities of enhanced content-based image recognition by fusion of classification decision obtained using diverse feature extraction techniques.

Three novel techniques of feature extraction have been introduced in this paper and have been tested with four different classifiers individually. The four classifiers used for performance testing were K nearest neighbor (KNN) classifier, RIDOR classifier, artificial neural network classifier and support vector machine classifier. Thereafter, classification decisions obtained using KNN classifier for different feature extraction techniques have been integrated by Z-score normalization and feature scaling to create fusion-based framework of image recognition. It has been followed by the introduction of a fusion-based retrieval model to validate the retrieval performance with classified query. Earlier works on content-based image identification have adopted fusion-based approach. However, to the best of the authors’ knowledge, fusion-based query classification has been addressed for the first time as a precursor of retrieval in this work.

The proposed fusion techniques have successfully outclassed the state-of-the-art techniques in classification and retrieval performances. Four public data sets, namely, Wang data set, Oliva and Torralba (OT-scene) data set, Corel data set and Caltech data set comprising of 22,615 images on the whole are used for the evaluation purpose.

To the best of the authors’ knowledge, fusion-based query classification has been addressed for the first time as a precursor of retrieval in this work. The novel idea of exploring rich image features by fusion of multiple feature extraction techniques has also encouraged further research on dimensionality reduction of feature vectors for enhanced classification results.

Recent statistics on increasing webrooming customers make it topical in the multi-channel retailing domain. The purpose of this paper is to offer an enhanced understanding on “Webrooming behaviour”, an area of concern for e-retailers by proposing an integrated framework grounded on the Theory of planned behaviour and Technology acceptance model.

The conceptual model presented develops a number of propositions applicable to webrooming behaviour utilizing the rich literature on channel choice behaviour in the multi-channel retailing environment. The propositions are open for verification and can serve the basis for future line of research.

The model proposed provides basis for understanding the webrooming sequence via search attitude towards online channels, purchase attitude towards offline channels, perceived ease of online search and perceived usefulness of webrooming behaviour. The impact of online risk perceptions and mediating role of (lack of) “trust” have been proposed along with the direct impact of product type and category which offers an holistic view towards understanding the webrooming conduct.

The model proposed lacks empirical verification. There is a need to test the model empirically to validate the model and to find out the suitability of integrated TPB-TAM model.

Webrooming substantially erodes online profits. Before retailers’ strategies to defend webroomers, it is imperative to understand the phenomenon from the consumer’s side. The model proposed is a step in this direction and provides the basis for formulating strategies for holding back the webroomers.

This paper adds to the body of knowledge in retailing by proposing a conceptual model on webrooming behaviour which is an emerging area of research in the present retail landscape.

The rapid deterioration of the earth’s natural ecosystems are increasing the risk of human morbidity and mortality worldwide. Hydrometeorological hazards are concentrating contaminants from the damaged environment and exposing large vulnerable populations to life threating illnesses and death. This study performed a retrospective health risk assessment on two recent events where such impacts unfolded, namely, the 2015 south east Equatorial Asia smoke haze disaster and the 2016 Melbourne thunderstorm asthma epidemic. The purpose of this paper is to test if the characterisation of health risk warranted earlier and more effective risk reduction activities prior to the disasters occurring.

A retrospective health risk characterisation assessment was performed combing United Nations International Strategy for Disaster Risk Health Aspect in Disaster Risk Assessment (2017) framework with a thematic and targeted word literature review to identify the level of risk knowledge prior to each event. A risk characterisation matrix was then created to characterise the health risk of each hazard event.

The 2015 south east Equatorial Asia smoke haze disaster risk assessment was characterised as “extreme” health risk and the 2016 Melbourne thunderstorm asthma epidemic was characterised as “high” health risk.

Reaching the goals of the Sendai Framework require strategies and plans which urgently address the catastrophic level of mortality risk posed by exposure to environmental contaminants.

Innovative approaches and partnerships are necessary to mitigate the risk from the deteriorating health of the environment and natural ecosystems, along with disaster response initiatives that reduce exposure of vulnerable people on a large scale.

The effect of magnetic field dependent (MFD) viscosity on the onset of convection in a ferromagnetic fluid layer heated from below saturating rotating porous medium in the presence of vertical magnetic field is investigated theoretically by using Darcy model. The resulting eigen value problem is solved using the regular perturbation technique. Both stationary and oscillatory instabilities have been obtained. It is found that increase in MFD viscosity and increase in magnetic Rayleigh number is to delay the onset of ferroconvection, while the nonlinearity of fluid magnetization has no influence on the stability of the system.

The thermal perturbation method is employed for analytical solution. A theory of linear stability analysis and normal mode technique have been carried out to analyze the onset of convection for a fluid layer contained between two impermeable boundaries for which an exact solution is obtained.

The conditions for the system to stabilize both by stationary and oscillatory modes are studied. Even for the oscillatory system of particular frequency dictated by physical conditions, the critical Rayleigh numbers for oscillatory mode of the system were found to be greater than for the stationary mode. The system gets destabilized for various physical parameters only through stationary mode. Hence, the analysis is restricted to the stationary mode. To the Coriolis force, the Taylor number T_a is calculated to discuss the results. It is found that the system stabilizes through stationary mode for values of and for oscillatory instability is favored for Ta > 104. Therefore the Taylor number T_a leads to stability of the system. For larger rotation, magnetization leads to destabilization of the system. The MFD viscosity is found to stabilize the system.

This research paper is new and original.

Thermoconvective instability with Soret effect in multi-component fluids has wide range of applications in heat and mass transfer. This work deals with the theoretical investigation of the effect of magnetic field dependent (MFD) viscosity on Soret-driven ferrothermohaline convection heated and salted from below in an anisotropic porous medium subjected to a transverse uniform magnetic field. The resulting eigen value problem is solved using Brinkman model. An exact solution is obtained for the case of two free boundaries and the stationary and oscillatory instabilities are investigated by using linear stability analysis and normal mode technique for the vertical of anisotropic porous medium. The analysis has been made for different parameters like porosity, anisotropy, ratio of heat transport to mass transport, buoyancy magnetization, non-buoyancy magnetization, Soret parameter and Salinity Rayleigh number. The effect of MFD viscosity is assumed to be isotropy. It is found that the presence of MFD viscosity has a stabilizing effect, whereas magnetization has a destabilizing effect.

The study of ferrothermohaline convection, double diffusive convection with Soret and Dufour effects have drawn the attention of researchers for the past four decades due to their remarkable applications. The Soret-driven ferrothermoconvective instability in a porous medium heated from below and salted from above has been analyzed using Darcy model for various values of parameters. A small thermal perturbation is applied to the basic state and linear stability analysis is used for which normal mode technique is applied. It is found that the presence of porous medium favours the onset of convection. The present work has been carried out both for oscillatory as well as stationary modes with graphical representation.