Raymond E. Miles and Charles C. Snow
In theory, there is no difference between theory and practice. In practice, there is.– Yogi Berra
Børge Obel, Dorthe Døjbak Håkonsson, Charles C. Snow and Lars A. Bach
A collaborative community is an organizational form that is increasingly being used in knowledge-intensive industries to accelerate innovation via collaboration. This study…
Abstract
A collaborative community is an organizational form that is increasingly being used in knowledge-intensive industries to accelerate innovation via collaboration. This study examines key design issues faced by a bilateral broker collaborative community at the point of its formation: (1) whether a critical mass of members is required for community survival, (2) the nature of the match between member skills and community challenges, and (3) how the mix of member skills needs to be adjusted over time to sustain community growth. Findings from our agent-based simulation study indicate that, contrary to suggestions in the literature, a critical mass of members is not necessary for a bilateral broker community to survive early on. The literature also suggests that there should be a match between the skill levels of community members and the skill requirements of the challenges that the community must solve in order for it to grow. We find that a match between skill levels and challenge requirements is necessary but not sufficient: the skill levels of community members must significantly exceed the skill requirements of the challenges. Lastly, we find that the appropriate amount of heterogeneity in member skills is contingent on several factors associated with how the community adapts over time. Implications of these findings for the theory and practice of organization design are discussed.
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Wahyu Apriyantopo, Atik Aprianingsih and Mandra Lazuardi Kitri
State-owned enterprises’ (SOEs) goals are perceived as two-sided blades, providing goods or services to the public on one side and escalating the government’s wealth on the other…
Abstract
Purpose
State-owned enterprises’ (SOEs) goals are perceived as two-sided blades, providing goods or services to the public on one side and escalating the government’s wealth on the other side. Treating the SOEs, government encounters the problem of injection strategy or privatize them. At the same time, managers have the option to formulate the SOEs strategy to boost performance. By using Miles and Snow’s typology strategy and the above factors, this paper investigates those impacts on Indonesia’s SOEs’ performance. This study aims to propose strategic typology as the main predictor with other variables such as the size, ownership structure, market competitiveness and capital subsidy on SOEs.
Design/methodology/approach
The study uses archived SOEs’ financial data from 2014 to 2018 to predict the financial performance using ordinal logistic regression analysis. The additional factors, such as firm size, ownership structure, market concentration and capital subsidy, are incorporated.
Findings
The result demonstrates that SOEs strategic typology, market concentration, size, ownership structure and capital subsidy significantly affect Indonesia’s SOEs’ performance.
Originality/value
To the best of the authors’ knowledge, this paper is the first elaborating government policies for SOEs, such as capital subsidy and state ownership, on the perspective of Miles and Snow’s strategy-performance relationship. Correspondingly, the paper contributes to examine the Indonesian characteristic SOE type with the performance. No single study has previously explored this relationship in the context of SOE in Indonesia.
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Jamil Anwar, S.A.F. Hasnu, Irfan Butt and Nisar Ahmed
The purpose of this paper is to find out the most influential journals, articles, authors and the subject areas where Miles and Snow typology is used. The study identifies the…
Abstract
Purpose
The purpose of this paper is to find out the most influential journals, articles, authors and the subject areas where Miles and Snow typology is used. The study identifies the opportunities for future research as well.
Design/methodology/approach
Review is based on 196 journal articles selected through a systematic and rigorous search process from the four databases: ProQuest, Business Source Complete, Willy and Science Direct. Total Citation, threshold citations, fractional citation and citation per year techniques are used for analyses.
Findings
Strategic Management Journal (SMJ), Academy of Management Journal (AMJ) and Journal of Marketing (JOM) are the most influential Journals. The most influential and prolific articles on the subject are from Hambrick (1983), Conant et al. (1990), Doty et al. (1993), Sabherwal et al. (2001), Desarbo et al. (2005) and Fiss (2011). Management, strategic management and marketing are the most studied subject areas.
Originality/value
Although there have been many reviews of the literature on this typology, the systematic review on Miles and Snow typology to find out the most influential journals, authors, articles and subject area has not been done before.
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Suzanne Zivnuska, David J. Ketchen and Charles C. Snow
This paper analyzes the impact of the Converging Economy on the role and function of human resource management (HRM) practice and research. The forces driving convergence …
Abstract
This paper analyzes the impact of the Converging Economy on the role and function of human resource management (HRM) practice and research. The forces driving convergence - information technology, globalization, and the importance of human assets - are discussed and then related to both HRM practice and research. We identify and discuss nine cutting-edge practices that firms have developed to cope with the changes brought about by the Converging Economy. These practices have potential significance for managers and scholars alike: they may serve as exemplars for organizations needing to navigate the shifting terrain of the Converging Economy. After discussing these practical responses to the changing environment, we discuss several promising new ways to apply theory to this area as a guide for future HRM researchers.
Wayne S. DeSarbo, Peter Ebbes, Duncan K.H. Fong and Charles C. Snow
Customer value has recently become a primary focus among many strategy researchers and practitioners as an essential element of a firm's competitive strategy. Many firms are…
Abstract
Purpose
Customer value has recently become a primary focus among many strategy researchers and practitioners as an essential element of a firm's competitive strategy. Many firms are engaged in some form of customer value analysis (CVA), which involves a structural analysis of the antecedent factors of perceived value (i.e. perceived quality and perceived price) to assess their relative importance in the perceptions of their buyers. Previous CVA research has focused upon using aggregate market or market segment level analyses. The purpose of this paper is to expose the limitations of implementing CVA on either an aggregate or market segment level basis, and propose an alternative individual level approach.
Design/methodology/approach
The paper develops an extended hierarchical Bayesian approach for cross‐sectional data with one observation per response unit, which allows for estimation at the individual firm level to make CVA more useful. This paper demonstrates the utility of the proposed Bayesian methodology involving a CVA study conducted for a large electric utility company. It also compares the empirical results from aggregate, market segment, and the proposed individual level analyses, and show how traditional approaches mask underlying price and quality importance.
Findings
Marketing and management strategy researchers need to exhibit care when conducting such CVA analyses as underlying heterogeneity can be masked when aggregate market or segment level analyses are conducted.
Originality/value
This paper provides a new hierarchical Bayes recursive simultaneous model formulation for CVA analyses to provide individual level insights with cross‐sectional data.