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The present chapter examined the behavior of relative wage rate, productivity of labor, and total factor productivity growth (TFPG) and also attempted to explore the causal relationship between relative wage rate and productivity of labor as well as relative wage rate and TFPG in food and beverage industry in India over the period 1980–1981 to 2017–2018. The result of Sen (2003) approach of endogenous structural break suggests that the series of relative wage rate, productivity of labor, and TFPG follows trend stationary process. A significant break is found for all the three aforementioned variables, being 1984–1985 for relative wage rate and productivity of labor whereas 2007–2008 for TFPG. For the three variables, growth rate has increased after the break. Bidirectional causality between relative wage rate and productivity of labor as well as relative wage rate and TFPG is evident.

Marketing strategy, strategic innovation.

Strategic brand management or marketing strategy courses at MBA level.

It seemed likely that a company with the highest number of product variants would consider product innovation to be its key source of sustenance in a crowded marketplace. Especially so, when the local and global competition was hotting up to a new launch every week. In the case of Micromax, a mobile handset maker from India tried to drive home the point that sustainability in emerging markets did not lie in inventing a new technology like Apple or Nokia or Sony did, albeit accompanied with a premium price tag. For the emerging markets, it was important to optimize the offering for the consumers. Strategic optimization could result from bridging the gaps in performance, infrastructure and organization design, which came naturally to this marketing-savvy mobile maker. Any company could make a cost-effective phone, but few could position, brand and sell it the way Micromax did. Shubhodip Pal, Head of Marketing at Micromax Informatics Pvt Ltd, India, pondered the marketing strategy which could pave the way into maintaining the company's national leadership position while creating a roadmap for its global foray. For Micromax, marketing strategy innovation, and not product innovation, would fulfil the goal of long-term growth in India and overseas markets.

The students studying this case are expected to learn: marketing strategy in emerging markets such as India, marketing strategy as the critical success factor for upcoming Indian companies rather than product innovation and doing business in emerging markets.

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To familiarize the students with a process of international expansion within an emerging market scenario encompassing countries such as India, Sri Lanka and a developing country like Kazakhstan. Mostly cases in international marketing are central to developed nations, as that is where the MNCs emerge and grow. In this case study, though Polaris originally is an US-based MNC, the focus lies on Polaris India going international. Hence, it looked at empowering an emerging market for regional development. To provide a situation for choice of entry mode strategies involving strategic alliances and various kinds of non-equity based partnerships. Here there is scope for tremendous learning with reference to institutional voids and market failures prompting a certain mode of entry strategy versus another in international marketing. Though this topic has been researched widely, this case is the first ever tribute to a real-life situation in an emerging market. The case is focussed on experiential marketing as the new tool for sales and communication. This is unique to Polaris, and worth replicating in its internationalization. The crucial question emerged: adaptation of experiential marketing techniques as per local market.

synopsis This case investigated the process of internationalization for Polaris India, a US-based MNC, making for an interesting study in how emerging markets can become hubs for effective regional market expansion. The case simultaneously explored the concept of experiential marketing in a new light referring to the issue of communication adaptation in international marketing. The company had successfully used Polaris Experience zones as their promotion and distribution tools. The PEZ had weaved its magic on Indian customers to bring about significant positive change to the perception of a brand now extending the brand promise to other emerging markets. Polaris India started as a wholly owned subsidiary of Polaris Industries USA Inc in 2011 with Mr Pankaj Dubey, as the Country Head. Polaris specialized in building world class off-road vehicles and was a global leader in the same. The case study provided an opportunity to discuss behind the scenes role played by channel partners in targeted foreign markets – Sri Lanka and Kazakhstan. In international marketing, strategic alliances are of tremendous significance as a method of entry strategy and the knowledge, depth, expertise can make all the difference to achievement of success in the local market. Polaris despite having to market a product with no readymade market and combating the perceived notion of a super-premium product in emerging markets, managed to weave its own success story. The case is about, how Polaris India went International with its choice of strategic partners and communication tools.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Marketing.

The purpose of this paper is to study lightweight security scheme for Internet of Things (IoT) applications using Constrained Application Protocol (CoAP). Resource-constrained characteristics of IoT systems have ushered in compelling requirements for lightweight application protocol and security suites. CoAP has already been established as the candidate protocol for IoT systems. However, low overhead security scheme for CoAP is still an open problem. Existing security solutions like Datagram Transport Layer Security (DTLS) is not suitable, particularly due to its expensive handshaking, public key infrastructure (PKI)-based authentication and lengthy ciphersuite agreement process.

This paper proposes a lightweight security scheme in CoAP using Advanced Encryption Standard (AES) 128 symmetric key algorithm. The paper presents an object security (payload embedded)-based robust authentication mechanism with integrated key management. The paper introduces few unique modifications to CoAP header to optimize security operation and minimize communication cost.

It is resilient to number of security attacks like replay attack, meet-in-the-middle attack and secure under chosen plaintext attack. This scheme is generic in nature, applicable for gamut of IoT applications. The paper proves efficacy of our proposed scheme for vehicle tracking application in emulated laboratory setup. Specifically, it compares with DTLS-enabled CoAP to establish the lightweight feature of our proposed solution.

This paper mainly focuses on implementing in-vehicle tracking systems as an IoT application and used CoAP as the application protocol.

Such a lightweight security scheme would provide immense benefit in IoT systems so that resource constraint-sensing devices and nodes can be made secure. This would impact IoT eco systems to a large extent.

Such kind of security suite that provides both robustness and lightweight feature is hitherto not known to the authors, particularly in CoAP for IoT applications.

The purpose of this study is to analyze an unsteady MHD Darcy flow of nonNewtonian hybrid nanoliquid past an exponentially accelerated vertical plate under the influence of velocity slip, Hall and ion slip effects in a rotating frame of reference. The fluids in the flow domain are assumed to be viscously incompressible electrically conducting. Sodium alginate (SA) has been taken as a base Casson liquid. A strong uniform magnetic field is applied under the assumption of low magnetic Reynolds number. Effect of Hall and ion-slip currents on the flow field is examined. The ramped heating and time-varying concentration at the plate are taken into consideration. First-order homogeneous chemical reaction and heat absorption are also considered. Copper and alumina nanoparticles are dispersed in base fluid sodium alginate to be formed as hybrid nanoliquid.

The model problem is first formulated in terms of partial differential equations (PDEs) with physical conditions. Laplace transform method (LTM) is used on the nondimensional governing equations for their closed-form solution. Based on these results, expressions for nondimensional shear stresses, rate of heat and mass transfer are also determined. Graphical presentations are chalked out to inspect the impacts of physical parameters on the pertinent physical flow characteristics. Numerical values of the shear stresses, rate of heat and mass transfer at the plate are tabulated for various physical parameters.

Numerical exploration reveals that a significant increase in the secondary flow (i.e. crossflow) near the plate is guaranteed with an augmenting in Hall parameter or ion slip parameter. MHD and porosity have an opposite effect on velocity component profiles for both types of nanoliquids. Result addresses that both shear stresses are strongly enhanced by the Casson effect. Also, hybrid nanosuspension in Casson fluid (sodium alginate) exhibits a lower rate of heat transfer than usual nanoliquid.

This model may be pertinent in cooling processes of metallic infinite plate in bath and hybrid magnetohydrodynamic (MHD) generators, metallurgical process, manufacturing dynamics of nanopolymers, magnetic field control of material processing, synthesis of smart polymers, making of paper and polyethylene, casting of metals, etc.

The originality of this study is to obtain an analytical solution of the modeled problem by using the Laplace transform method (LTM). Such an exact solution of nonNewtonian fluid flow, heat and mass transfer is rare in the literature. It is also worth remarking that the influence of Hall and ion slip effects on the flow of nonNewtonian hybrid nanoliquid is still an open question.

Fragile states (FS) are often neglected and categorized as “aid orphans”. In extreme circumstances, they are loaded with aid beyond their absorptive capacity. However, whether they receive little or too much, there is a compelling imperative to coordinate aid aimed at capacity development effectively. In an ever shrinking pot of funds from donors mainly due to the current global economic downturn, it is extremely important to coordinate and harmonise aid delivery. FS cannot afford to waste any money trapped under rubble of multi‐donor aid bureaucracy. Due to the multidimensional nature of fragility, we draw on case studies and interdisciplinary insights from Authority‐Legitimacy‐Capacity (ALC), Country Development Framework (CDF) and other models and frameworks of donor coordination. A number of asymmetries (e.g. technical, cultural and, financial) between donors and recipients need to be addressed. Donors can harmonise their respective Africa strategies reports and give priority to infrastructure instead of focusing exclusively on the social agenda as in the past. FS should fight the local culture of corruption, avoid fungibility, protect vulnerable groups in society, focus on reintegration as well as demobilizing ex‐combatants with employment provisions. Donors should not give mixed signals to recipients and need to be flexible in their operational procedures. Finally, we discuss the implications of key emerging issues that threaten or facilitate sustainable reconstruction, development and poverty reduction in post‐conflict environments.

This paper aims to present an efficient design approach for the micro electromechanical systems (MEMS) accelerometers considering design parameters affecting the long-term reliability of these inertial sensors in comparison to traditional iterative microfabrication and experimental characterization approach.

A dual-axis capacitive MEMS accelerometer design is presented considering the microfabrication process constraints of the foundry process. The performance of the MEMS accelerometer is analyzed through finite element method– based simulations considering main design parameters affecting the long-term reliability. The effect of microfabrication process induced residual stress, operating pressure variations in the range of 10 mTorr to atmospheric pressure, thermal variations in the operating temperature range of −40°C to 100°C and impulsive input acceleration at different input frequency values is presented in detail.

The effect of residual stress is negligible on performance of the MEMS accelerometer due to efficient design of mechanical suspension beams. The effect of operating temperature and pressure variations is negligible on energy loss factor. The thermal strain at high temperature causes the sensing plates to deform out of plane. The input dynamic acceleration range is 34 g at room temperature, which decreases with operating temperature variations. At low frequency input acceleration, the input acts as a quasi-static load, whereas at high frequency, it acts as a dynamic load for the MEMS accelerometer.

In comparison with the traditional MEMS accelerometer design approaches, the proposed design approach focuses on the analysis of critical design parameters that affect the long-term reliability of MEMS accelerometer.

This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase, construction companies must assess the scope of each task and map the client’s expectations to an internal database of tasks, resources and costs. Quantity surveyors carry out this assessment manually with little to no computer aid, within very austere time constraints, even though these results determine the company’s bid quality and are contractually binding.

This paper seeks to compile applications of machine learning (ML) and natural language processing in the architectural engineering and construction sector to find which methodologies can assist this assessment. The paper carries out a systematic literature review, following the preferred reporting items for systematic reviews and meta-analyses guidelines, to survey the main scientific contributions within the topic of text classification (TC) for budgeting in construction.

This work concludes that it is necessary to develop data sets that represent the variety of tasks in construction, achieve higher accuracy algorithms, widen the scope of their application and reduce the need for expert validation of the results. Although full automation is not within reach in the short term, TC algorithms can provide helpful support tools.

Given the increasing interest in ML for construction and recent developments, the findings disclosed in this paper contribute to the body of knowledge, provide a more automated perspective on budgeting in construction and break ground for further implementation of text-based ML in budgeting for construction.

The objective of this research was to develop a new and highly accurate approach based on a fuzzy inference system (FIS) for the evaluation of usability based on ISO 9241-210:2019. In this study, a fully automated method of usability evaluation is used for interactive systems with a special look at interactive social robots.

Fuzzy logic uses as an intelligent computing technique to deal with uncertainty and incomplete data. Here this system is implemented using MATLAB fuzzy toolbox. This system attempted to quantify four criteria that correlate highly with ISO 9241-210:2019 criteria for the evaluation of interactive systems with maximum usability. Also, the system was evaluated with standard cases of computer interactive systems usability evaluation. The system did not need to train various data and to check the rules. Just small data were used to fine-tune the fuzzy sets. The results were compared against experimental usability evaluation with the statistical analysis.

It is found that there was a high strong linear relation between the FIS usability assessment and System Usability Scale (SUS) based usability assessment, and authors’ new method provides reliable results in the estimation of the usability.

In human-robot systems, human performance plays an important role in the performance of social interactive systems. In the present study, the proposed system has considered all the necessary criteria for designing an interactive system with a high level of user because it is based on ISO 9241-210:2019.

For future research, the system could be expanded with the training of historical data and the production of rules through integrating FIS and neural networks.

This system considered all essential criteria for designing an interactive system with a high level of usability because it is based on ISO 9241-210:2019. For future research, the system could be expanded with the training of historical data and the production of rules through integrating FIS and neural networks.