According to the author, a successful leadership change should not be left to chance. Such a transition must be planned and carefully managed.
Like it or not, change is inevitable if you are to survive. Far better to instigate change than allow other people to inflict it on you. To anticipate the future has to be good…
Abstract
Like it or not, change is inevitable if you are to survive. Far better to instigate change than allow other people to inflict it on you. To anticipate the future has to be good to allow time to implement change rather than having to react to it. This appears quite simple, but is it? This special themed issue of Management Decision contains a number of examples of how organizations have managed change. Lessons can be learned from other industries than your own with regard to best practice and basic principles which can then be applied to your own organization..
Larry A. Mallak, David M. Lyth, Suzan D. Olson, Susan M. Ulshafer, Susan M. Ulshafer and Frank J. Sardone
Healthcare organization performance is a function of many variables. This study measured relationships among culture, the built environment, and outcome variables in a healthcare…
Abstract
Healthcare organization performance is a function of many variables. This study measured relationships among culture, the built environment, and outcome variables in a healthcare provider organization. A culture survey composed of existing scales and custom scales was used as the principal measurement instrument. Results supported culture strength’s links with higher performance levels and identified the built environment’s role as a moderating variable that can lead to improved processes and outcomes. Job satisfaction and patient satisfaction were found to be significantly and positively correlated with culture strength and with ratings of the built environment.
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Xiaohang (Flora) Feng, Shunyuan Zhang and Kannan Srinivasan
The growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured…
Abstract
The growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility – if only the model outputs are interpretable enough to earn the trust of consumers and buy-in from companies. To build a foundation for understanding the importance of model interpretation in image analytics, the first section of this article reviews the existing work along three dimensions: the data type (image data vs. video data), model structure (feature-level vs. pixel-level), and primary application (to increase company profits vs. to maximize consumer utility). The second section discusses how the “black box” of pixel-level models leads to legal and ethical problems, but interpretability can be improved with eXplainable Artificial Intelligence (XAI) methods. We classify and review XAI methods based on transparency, the scope of interpretability (global vs. local), and model specificity (model-specific vs. model-agnostic); in marketing research, transparent, local, and model-agnostic methods are most common. The third section proposes three promising future research directions related to model interpretability: the economic value of augmented reality in 3D product tracking and visualization, field experiments to compare human judgments with the outputs of machine vision systems, and XAI methods to test strategies for mitigating algorithmic bias.
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The purpose of this paper is to address the importance of cultural values, the organizational culture and management style for innovation. It also comparatively evaluates the…
Abstract
Purpose
The purpose of this paper is to address the importance of cultural values, the organizational culture and management style for innovation. It also comparatively evaluates the actual performance of European countries in innovation.
Design/methodology/approach
In this paper, the theoretical frameworks of the well-known scholars Hofstede, House, Schwartz, Boisot and Cameron and Quinn are critically evaluated and compared with each other. In addition, the authors compared the cultural rankings and the actual performance in innovation of selected European countries. Before addressing the impact of culture on the innovative strength of nations, different definitions of innovation are being described. The theoretical framework developed on the basis of the six Hofstede dimensions is composed; the nine House dimensions are supplemented and the Schwartz values for innovative strength of nations are also being discussed. Culture as a knowledge asset, the positioning in information space and its influence on innovation following the theories of Boisot and the different cultural types as defined by Cameron and Quinn have been studied and evaluated. The performance of European countries in innovation has been evaluated on the basis of the Global Innovation Index, the patent applications to the European Patent Office and the European Innovation Scoreboard.
Findings
Based on literature review, one can conclude that there is a strong positive relation between several cultural characteristics of countries in question and their innovative strength. The results of this paper point out the importance of cultural values for innovation.
Research limitations/implications
This research has assessed the relation between national culture in general on the innovative strength of nations. Future research on which cultural characteristics and management styles have the strongest correlation with the innovative strength of nations could provide valuable insights for both scholars in this research field and for institutions and companies that wish to improve their innovative strength.
Practical implications
The results of this study provide us with the insight that the innovative strength of a nation or organization can be altered by changing (parts of) its culture. A practical implication of this finding is that a government can, for example, increase its nation’s innovative strength by encouraging cooperation between different institutions and by limiting rules and regulations which could cause barriers in the innovation process.
Social implications
A social implication of the findings of this study is the knowledge that to improve the innovative strength of a nation, a government needs to pursue a pro-active policy of transforming national culture, for example, by changing the educational system and decreasing the power distance between teachers and students. Such an effort to influence the national culture addresses interesting issues regarding the concept of social engineering.
Originality/value
By critically evaluating the qualitative cultural frameworks of several well-known scholars and relating them to quantitative statistical data about the innovative strength of nations, this study has combined the strengths of both qualitative and quantitative methodologies and produced non-trivial findings in an original manner.