Family Businesses and Adaptation: A Dynamic Capabilities Approach

The main objective of this research was to propose a framework centred on the dynamic capabilities approach, and to be applied in the context of family businesses’ adaption to their changing business environment. Data were gathered through interviews with ten FBs operating in Western Australia. Based on the findings, the clusters of activities, sensing, seizing, and transforming emerged as key factors for firms’ adaptation, and were reinforced by firms’ open culture, signature processes, idiosyncratic knowledge, and valuable, rare, inimitable and non-substitutable attributes. Thus, the usefulness of the proposed framework was confirmed. Implications and future research opportunities are presented. © 2018, The Author(s)

Factored orthogonal matrix-vector multiplication with applications to parallel and adaptive eigenfiltering and SVD

A novel algorithm is presented for adaptive eigenfiltering and for updating the singular value decomposition (SVD). It is an improvement upon an earlier developed Jacobi-type SVD updating algorithm, where now the exact orthogonality of the matrix of singular vectors/eigenvectors is guaranteed by storing a minimal factorization. This orthogonality property is known to be crucial for the numerical stability of the overall algorithm. The factored approach leads to a triangular array of rotation cells, implementing an orthogonal matrix - vector multiplication, and a novel array for SVD updating. Both arrays can be built up of CORDIC processors since the algorithms make exclusive use of orthogonal plan..

Direction Finding of Multiple Wide-Band Emitters Using State Space Modeling

Estimating the angles-of-arrival of wide-band emitters is an important problem in array processing. This paper introduces a novel method which is applicable if the sensor array consists of doublets. Furthermore the wide-band signals are modeled as the output of a linear time-invariant system driven by white noise. The novelty in our approach lies in the use of state-space descriptions for the sensor outputs. We present two algorithms. The first is a simple non-recursive algorithm. The second is a recursive algorithm with reduced computational complexity. Due to its regular parallel structure this algorithm is well suited for parallel implementation, e.g., for real-time applications requiring high throughput

The impact of asymmetric perceptions of buyer-supplier governance mechanisms on relational rents

info:eu-repo/semantics/publishe