Search results

This paper aims to investigate the internationalization motives behind location choice among emerging country business groups (EBGs) and the way in which institutional factors affect Türkiye’s foreign direct investment (FDI).

This study develops a multi-perspective framework that integrates the ownership, location and internalization (OLI) paradigm (Dunning and Lundan, 2008) and the linkage, leverage and learning (LLL) model (Mathews, 2006) with neo-institutional theory to explain the internationalization of EBGs. It adopts a multiple-case study research method relying on 14 semi-structured interviews with top executives to explore the internationalization strategy of a set of Turkish BGs.

This study supports the combination of the OLI paradigm, the LLL model and neo-institutional theory to explain EBGs’ internationalizing behaviors. Turkish BGs have adopted both asset exploitation and asset augmentation internationalization strategies. The institutional legitimacy mechanism moderates the internationalization motives of Turkish BGs, and their host country location choice and normative pressures are more salient than their regulative and cognitive pressures.

This study is based on a sample of EBGs from Türkiye, and this restriction limits the generalizability/applicability of the findings to BGs globally.

Few studies have considered EBGs and their internationalization strategies in the international business field. This paper puts forward an integrated framework for analyzing internationalization and legitimacy in the institutional context of EBGs. This study highlights that BGs bridge institutional voids. Focusing on Turkish BGs helps to answer Granovetter’s Coasian question and contributes to the understanding of emerging countries’ economic development.

The purpose of this paper is to present an optimisation of four-point star-shaped structures produced through additive manufacturing (AM) polylactic acid (PLA). The study also aims to investigate the compression failure mechanism of the structure.

A Taguchi L₉ orthogonal array design of the experiment is adopted in which the input parameters are resolution (0.06, 0.15 and 0.30 mm), print speed (60, 70 and 80 mm/s) and bed temperature (55°C, 60°C, 65°C). The response parameters considered were printing time, material usage, compression yield strength, compression modulus and dimensional stability. Empirical observations during compression tests were used to evaluate the load–response mechanism of the structures.

The printing resolution is the most significant input parameter. Material length is not influenced by the printing speed and bed temperature. The compression stress–strain curve exhibits elastic, plateau and densification regions. All the samples exhibit negative Poisson’s ratio values within the elastic and plateau regions. At the beginning of densification, the Poisson’s ratios change to positive values. The metamaterial printed at a resolution of 0.3 mm, 80 mm/s and 60°C exhibits the best mechanical properties (yield strength and modulus of 2.02 and 58.87 MPa, respectively). The failure of the structure occurs through bending and torsion of the unit cells.

The optimisation study is significant for decision-making during the 3D printing and the empirical failure model shall complement the existing techniques for the mechanical analysis of the metamaterials.

To the best of the authors’ knowledge, for the first time, a new empirical model, based on the uniaxial load response and “static truss concept”, for failure mechanisms of the unit cell is presented.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.