Search results

This paper aims to design the fractional order sliding mode controller for highly maneuverable remote piloted unmanned aircraft with time-varying delays.

With the assumption that the time-varying delays are bounded and identical for different outputs, an observer-based control technique is implied which reformulates the state variables based on the system model and delayed outputs. The estimated state variables are fed as feedback into the controller. Based on the delayed output observer, a fractional order sliding mode controller is designed. Further, the stability of the closed-loop system is analyzed and asymptotical convergence is realized using Lyapunov–Razumikhin theorem.

The simulation is done in Matlab and Simulink. The parametric variations and trajectory tracking results are illustrated which looks propitious.

In practical operation, measurement signal is often delayed, which significantly degrade the control performance or even disturb the stability. It is emphasized to choose attitude as the evaluation indicator for unmanned aerial vehicle time delay.

A novel fractional order sliding mode control technique is designed to enhance the trajectory tracking, thus autonomous flight performance, of the aircraft system. Also, the main idea behind this novel procedure is formulated for minimizing the parametric variations in presence of time delays.

The primary purpose of this study is to examine the factors leading to shopping cart abandonment and construct a model depicting interrelationship among them using interpretive structural modeling (ISM) and Matriced Impact Croises Multiplication Appliquee an un Classement (MICMAC).

Initially, 20 factors leading to shopping cart abandonment were extracted through a systematic literature review and expert opinions. Fifteen factors were finalized using the importance index and CIMTC method, for which consistency has been checked in SPSS software through a statistical reliability test. Finally, ISM and MICMAC approach is used to develop a model depicting the contextual relationship among finalized factors of shopping cart abandonment.

The ISM model depicts a technical glitch (SC8), cash on delivery not available (SC4), bad checkout interface (SC9), just browsing (SC11), and lack of physical examination (SC12) are drivers or independent factors. Additionally, four quadrants have been formulated in MICMAC analysis based on their dependency and driving power. This facilitates technical managers of e-commerce companies to focus more on factors leading to shopping cart abandonment according to their dependency and driving power.

Taking an expert’s opinion as a base may affect the results of the study due to biases based on subjectivity.

This study’s outcomes would accommodate practitioners, researchers, and multinational or national companies to indulge in e-commerce to anticipate factors restricting the general public from online shopping.

For the successful running of an e-commerce business and to retain the confidence of e-shoppers, every e-commerce company must make a strategy for controlling factors leading to shopping cart abandonment at the initial stage. So, this paper attempts to highlight the main factors leading to shopping cart abandonment and interrelate them using ISM and MICMAC approaches. It provides a clear path to technical heads, researchers, and consultants for handling these shopping cart abandonment factors.

This paper aims to focus on how home-grown Indian companies explored the potential of Indian middle class and realized an opportunity to seize the market gap not catered by MNCs in India. Across three distinct business contexts, the authors describe the companies’ procedures of developing segment-specific offerings. Doing so, the authors outline novel strategies implemented by these companies to cater to specific needs of the segments.

Seizing Bandura’s (1986) framework that stresses on the role of cognitive, vicarious, self-reflective and self-regulatory processes, the authors develop a four-layered model of the Indian middle class consumers. Building upon this model, they took multiple case (three caselets) approach for illustrating the strategies of home-grown companies. The authors identify their potential to explore the unknown terrains of various market segments and rework with unique local solutions.

The study highlights the power of home-grown companies over MNCs in terms of better market understanding and realistic offerings best suited to their needs. Across the divergent business contexts the companies’ strategies have four features in common: customer targeting and developing; localization of business models, particularly services; relating the products to the Indian society; and ethnocentrism and pride.

This study gives priority to a “thick” description of the proceedings without claiming causality. The authors limit this qualitative investigation to pinpointing congruence and contradictions to previous established results.

A key implication of this paper is the relevance of linking firm’s strategy to social-psychological development of customers in emerging economies component. This study provides critical insights for both managers and policymakers on the economic and social upswing as socially responsible and ethical practices are likely to gain public awareness.

The study’s originality springs from understanding the domestic company’s strategies when facing the pressure of (mainly Western) MNCs entering the emerging economies markets. While the latter takes advantage of economies of scale, country of origin effects and the powerful brands, the home-grown businesses are forced to develop divergent advantages and capabilities. Notably, earlier literature focused on changed demand pattern brought by MNCs in emerging economies and not on later part whereby, home-grown companies carve a space for themselves with specially designed improved products and innovative strategies.