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This paper introduces a conceptual framework to assess the foreign market entry behavior of emerging market multinationals (EMMs). By introducing strategic cognition as the underlying theoretical perspective, this paper postulates that different levels of institutional voids in home markets shape the strategic cognition of EMMs, influencing their market entry behavior due to the prevalence of organizational imprinting in the early stages of internationalization. The paper aims to contribute to the strategic cognition literature by introducing emerging markets as a relevant context in which to apply and extend current thinking. Additionally, it aims to contribute to the institutional voids literature by providing a cognitive framework of behavioral patterns that is rationalized by institutional voids. Finally, the paper contributes to the entry mode literature by proposing strategic cognition as a relevant moderator for foreign entry mode choices, particularly those of EMMs.

The research objective is to increase the computational efficiency of the automated teller machine (ATM) cash demand forecasting problem. It proposes a practical decision-making process that uses aggregated time series of a bank's ATM network. The purpose is to decrease ATM numbers that will be forecasted by individual models, by finding the machines’ cluster where the forecasting results of the aggregated series are appropriate to use.

A comparative statistical forecasting approach is proposed in order to reduce the calculation complexity of an ATM network by using the NN5 competition data set. Integrated autoregressive moving average (ARIMA) and its seasonal version SARIMA are fitted to each time series. Then, averaged time series are introduced to simplify the forecasting process carried out for each ATM. The ATMs that are forecastable with the averaged series are identified by calculating the forecasting accuracy change in each machine.

The proposed approach is evaluated by different error metrics and is compared to the literature findings. The results show that the ATMs that have tolerable accuracy loss may be considered as a cluster and can be forecasted with a single model based on the aggregated series.

The research is based on the public data set. Financial institutions do not prefer to share their ATM transactions data, therefore accessible data are limited.

The proposed practical approach will be beneficial for financial institutions to use, that hold an excessive number of ATMs because it reduces the computational time and resources allocated for the forecasting process.

This study offers an effective simplified methodology to the challenging cash demand forecasting process by introducing an aggregated time series approach.

This paper aims to demonstrate methods that sustainability-conscious brands can use to include their primary producers in the measurement and reporting of the environment and sustainability performance of their supply chains. It explores three questions: How can farm businesses provide information required in sustainability reporting? What are the challenges and opportunities experienced in preparing and presenting the information? What future research and policy instruments might be needed to resolve these issues.

This study identifies and describes methods to provide the farm-level information needed for environmental performance and sustainability reporting frameworks. It demonstrates them by compiling natural capital accounts and environmental performance information for two wool producers in the grassy woodland biome of Eastern Australia; the contrasting history and management of these producers would be expected to result in different environmental performances.

The authors demonstrated an approach to NC accounting that is suitable for including primary producers in environmental performance reporting of supply chains and that can communicate whether individual producers are sustaining, improving or degrading their NC. Measurements suitable for informing farm management and for the estimation of supply chain performance can simultaneously produce information useful for aggregation to regional and national assessments.

The methods used should assist sustainability-conscious supply chains to more accurately assess the environmental performance of their primary producers and to use these assessments in selective sourcing strategies to improve supply chain performance. Empirical measures of environmental performance and natural capital have the potential to enable evaluation of the effectiveness of sustainability accounting frameworks in inducing businesses to reduce their environmental impacts and improve the condition of the natural capital they depend on.

Two significant social implications exist for the inclusion of primary producers in the sustainability and environmental performance reporting of supply chains. Firstly, it presently takes considerable time and expense for producers to prepare this information. Governments and members of the supply chain should acknowledge the value of this information to their organisations and consider sharing some of the cost of its preparation with primary producers. Secondly, the “additionality” requirement commonly present in existing frameworks may perversely exclude already high-performing producers from being recognised. The methods proposed in this paper provide a way to resolve this.

To the best of the authors’ knowledge, this research is the first to describe detailed methods of collecting data for natural capital accounting and environmental performance reporting for individual farms and the first to compile the information and present it in a manner coherent with the Kering EP&L and the UN SEEA EA. The authors believe that this will make a significant contribution to the development of fair and standardised ways of measuring individual farm performance and the performance of food, beverage and apparel supply chains.

Unmanned aerial vehicles (UAVs) have wide applications in surveillance and reconnaissance without risking human life. Due to unbalanced payload distribution or in-flight deployment, UAVs may undergo lateral center of gravity (c.g.) variations resulting in an asymmetric dynamic having significant longitudinal and lateral/directional coupling and hence more pronounced nonlinearity. Therefore, automatic control of UAVs becomes extremely difficult when it is forced to perform maneuvers under such imbalance in lateral mass distribution. The purpose of this paper is to design adaptive nonlinear control so that the UAV can perform some useful lateral/directional maneuver under lateral c.g. uncertainty.

First the nominal lateral/directional dynamics of a fixed-wing UAV is framed into strict feedback form and then the block backstepping approach is used to design the controller to execute horizontal turn and aileron roll maneuvers under no lateral c.g. variation. Thereafter, an adaptive block backstepping controller is designed to adapt to uncertainty in lateral c.g. position considering an approximate model of the asymmetric dynamics. The proposed adaptive scheme is validated against the same two maneuvers as considered for the nominal case.

First it is shown that the lateral/directional dynamics of a UAV can be converted to a block strict feedback form for executing some lateral/directional maneuvers. However, it was observed that the maneuver performance suffers significant performance degradation under lateral c.g. variations. To mitigate this issue, a simple and computationally inexpensive adaptive block backstepping scheme is proposed and validated. The adaptation law is further proved to be able to asymptotically estimate the actual c.g. location of the UAV.

The proposed control scheme allows the UAV to automatically adapt to lateral c.g. variations so that the intended maneuvers are performed without any noticeable loss in maneuver performance.

There are very few works available in the literature that address nonlinear control designs for executing specific lateral/directional maneuvers and, moreover, they consider symmetric UAVs or aircraft only. This paper addresses the practical problem of autonomous maneuvering for UAVs with unbalanced lateral mass distribution leading to shift of c.g. out of its plane of symmetry.

This paper explores the emergence and coordination of synchrony in networked groups like those that develop integrated product platforms in collaborative ecosystems. While synchronized actions are an important objective for many groups, interorganizational network theory has yet to explore synchrony in depth perhaps because it does not fit the typical diffusion models this research relies upon. By adding organizationally realistic features – sparse network structure and intentional coordination – to the firefly model from theoretical biology, I take some first steps in understanding synchrony in organizational groups. Like diffusion, synchrony is more effective in denser networks, but unlike diffusion clustering decelerates synchrony’s emergence. Coordination by a few group members accelerates group-wide synchrony, and benefits the coordinating organizations with a higher likelihood that it converges to the coordinating organization’s preferred rhythm. This likelihood of convergence to an organization’s preferred rhythm – what I term synchrony performance – increases in denser networks, but is not dependent on tie strength and clustering.

Our study proposes a resource environment view (REV) of competitive advantage by unpacking the environmental origins of a firm’s competitive advantage. The key tenet of the REV is that the heterogeneity and imperfect mobility of strategic factor markets and institutions across countries explain how firms based in different countries would likely both create and sustain a competitive advantage. In particular, our study introduces the notion of “the paradox of environmental embeddedness.” The paradox lies in the fact that the same environmental conditions – in terms of strategic factor markets and institutions – that enable firms to create a competitive advantage can paradoxically also create a situation in which it is more difficult for these firms to sustain an advantage. Another important aspect of our study is that, to enhance our understanding of how firms manage the paradox of environmental embeddedness, our study specifies the resource environmental conditions under which firms’ internal and external resource-oriented strategies – that is, the development of dynamic capabilities and interventions in the country resource environment – are more beneficial when managing the environmental paradox. Overall, our theorizing has important implications for strategic management theory and practice.

The purpose of this paper is to investigate how within-industry diversification affects the financial performance of small- and medium-sized enterprises (SMEs) in emerging markets (EMs). The authors draw on both the resource-based view and the institutional perspective and argue that within-industry diversification can enhance the financial performance of SMEs in EMs. Due to institutional voids in emerging economies, SMEs can gain additional benefits from scope economies, as well as from market returns, by filling product market voids and gaps in business ecosystems, while also enjoying low input and labor costs that reduce the coordination costs of diversification. This, in turn, enhances benefits of within-industry diversification, thereby resulting in higher financial profitability.

This study employs panel data econometrics to estimate the model. The authors test hypotheses on 195 firms, originating from five countries in Southeast Asia, during the period of 2009–2014.

The empirical results support the arguments. Within-industry diversification has a positive impact on the performance of SMEs in EMs. These effects become weaker when the institutional contexts are more developed. Nevertheless, such effects become stronger when SMEs in EMs are more efficient.

The relationship between within-industry diversification and performance is a positive linear pattern, which differs from the pattern in advanced economies. In addition to unrelated diversification, the related diversification is preferable for firms in EMs.

The paper provides implications for SMEs that aim to enhance their performance by engaging in single product lines and within-industry diversification.

This paper examines the different ways within-industry diversification can enhance SMEs performance in EM contexts.

The purpose of this paper is to investigate how within-industry diversification affects the financial performance of small- and medium-sized enterprises (SMEs) in emerging markets (EMs). The authors draw on both the resource-based view and the institutional perspective and argue that within-industry diversification can enhance the financial performance of SMEs in EMs. Due to institutional voids in emerging economies, SMEs can gain additional benefits from scope economies, as well as from market returns, by filling product market voids and gaps in business ecosystems, while also enjoying low input and labor costs that reduce the coordination costs of diversification. This, in turn, enhances benefits of within-industry diversification, thereby resulting in higher financial profitability.

This study employs panel data econometrics to estimate the model. The authors test hypotheses on 195 firms, originating from five countries in Southeast Asia, during the period of 2009–2014.

The empirical results support the arguments. Within-industry diversification has a positive impact on the performance of SMEs in EMs. These effects become weaker when the institutional contexts are more developed. Nevertheless, such effects become stronger when SMEs in EMs are more efficient.

The relationship between within-industry diversification and performance is a positive linear pattern, which differs from the pattern in advanced economies. In addition to unrelated diversification, the related diversification is preferable for firms in EMs.

The paper provides implications for SMEs that aim to enhance their performance by engaging in single product lines and within-industry diversification.

This paper examines the different ways within-industry diversification can enhance SMEs performance in EM contexts.

This research fills a gap in the literature regarding managerial retention and performance in the context of cross-border acquisitions (CBA). Blending institutional with resource-based theories, this study posits that retaining acquired managers becomes more important in unfamiliar environments where the institutional infrastructure is underdeveloped. Our results support the theory. Contrary to expectations and prior research, however, the results also call into question the long-held belief that managerial retention is generally beneficial to post-acquisition performance. The findings and implications are discussed regarding managerial turnover, CBA, and the institutional environment.