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While the causes of migration across a range of diverse societies have been studied in the extant literature, a systematic study encapsulating the extant literature pertaining to the push and pull factors for the phenomenon of migration has not been conducted so far. The purpose of this study is to present a gist of the push and pull factors that are responsible for migration patterns across different contexts.

Inferences from the literature review and documentary analysis show that, on the one hand, the push factors for migration entail the enforced reasons like natural causes, wars, health and the like; the pull factors are, by and large, the affirmative ones related to better job opportunities, anticipation of improved well-being, etc.

It may also be deduced that both the categories of migration causes are analyzed at the individual, group, societal as well as regional levels.

Hitherto, the migration research has focused on understanding the antecedents and consequences of migration in temporal–spatial context, but a syncretic understanding of the push and pull factors behind migration vis-à-vis smart cities is required. The present study seeks to fill this gap. Besides contributing toward the mainstream literature on migration in general, the present study also adds to the literature pertaining to the specific factors responsible for migration patterns.

This paper deals with numerical studies into combined conduction, convection and radiation from a heated vertical electronic board are provided here.

Here three inbuilt heaters with decrease in their heights were placed in the vertical electronic board. With respect to the non-heat portions, two configurations were studied. The first considers the non-heat portions to be adiabatic, while in the second, they are non-adiabatic. The heat that is produced in three heaters is conducted along the board and is dissipated either from the heater portions alone or from the whole board by convection and radiation. Air is considered as working medium, while the equations of heat transfer and flow of fluid are handled without boundary layer approximations. These equations were further solved using finite volume method with Gauss–Seidel iteration method.

Results of various comparative studies were discussed to bring out the relevance of thermal conductivity, modified Richardson number and surface emissivity on different heat transfer and flow results concerning this problem.

The optimum values of surface emissivity, thermal conductivity and modified Richardson number have also been notionally explored.

This study identifies the factors responsible for obtaining price premium on privately placed equity in a developing market.

We examine a unique data set of a special case of private placement of equity, Qualified Institutional Placement (QIP) in India purchased at a premium. The study analyzed 188 equity issues offered between September 2006 and December 2014. On average, we find that QIP issues received a price premium of 4.38%. The study employed binary probit and ordinary least square regression models to analyze the probability and magnitude of the premium.

The study attributes the price premium of QIP to certification effect through group affiliation, signaling through promoters' ownership and monitoring effect through existing institutional investors. These factors influence the probability of premium for QIP issues. However, group affiliation and institutional ownership do not significantly influence the magnitude of the premium.

The private placement of equity is usually offered at a discount. Our findings contribute to the existing literature by evaluating the premium obtained on private placement as a unique scenario in emerging market supported through certification hypothesis, monitoring hypothesis and signaling.

This paper aims to address the following problems: What are the firms’ optimal pricing and quality policies under three scenarios (no bundling, pure bundling and mixed bundling)? In what condition will one bundling strategy dominate the others? How does the degree of complementarity affect the firms’ decision?

Using the game theory, this study first establishes three models of bundling strategies: no bundling, pure bundling and mixed bundling and then obtains the optimal prices and quality decisions. This study uses numerical analysis to explore the relationships between the prices (demands and profits) and some key parameters and to obtain some valuable management complications.

Some interesting and valuable management implications are established: regardless of the degree of complementarity, adopting a pure bundling or mixed bundling strategy is better than separately selling an individual product; a high degree of complementarity leads to reduced profit in the no bundling and mixed bundling scenarios, whereas the condition in the pure bundling strategy is the opposite; and when the degree of complementarity is adequately large, choosing pure bundling strategy is more profitable.

On the one hand, this study does not calculate the profit sharing ratio, and hence, the equilibrium profit sharing ratio can be explored in future work. On the other hand, marketing efforts (e.g. advertising and promotion) can be included in the study.

This study derives the necessary conditions for the most effective bundling strategy that maximizes firm’s profits, and these conclusions can provide a decision reference to the bundling decisions of firms.

First, the optimal bundling strategies in a horizontal supply chain consisting of two firms is considered. Under the pure and mixed bundling strategies, the two firms sell the bundled product by building a cooperative program. Second, both the pricing policies and quality decisions of supply chain members under the different bundling strategies are studied.

The purpose of this study is the use of 3D printing technology to perform maintenance on damaged parts on site. To maintain damaged parts, the user needs experience in the parts design and 3D printing technology. To help users who have little or no experience on 3D printing, a part library-based information retrieval and inspection framework was proposed to support the process of manufacturing replaceable parts using a 3D printer.

To establish the framework, 3D printing-based maintenance procedure was first defined, comprising retrieval, manufacturing and inspection steps, while identifying the technical components required to perform the procedure. Once the technical components are identified, part library-based information retrieval and inspection framework was defined based on the technical components and the relationships between the components. For validation of the concept of the framework, prototype system is developed according to the proposed framework.

The feasibility of the proposed framework is proved through maintenance experiments on gaskets and O-rings.

The main contribution of this study is the proposal of the framework, which aims to support the maintenance of damaged parts for the user who has little or no experience in part design or does not know how to operate a 3D printer.