Sohrab Khalili Shavarini, Hossain Salimian, Jamshid Nazemi and Mahmood Alborzi
The purpose of this paper here is to present an operational model that establishes the necessary relationship between business strategy and operations strategy. Accordingly…
Abstract
Purpose
The purpose of this paper here is to present an operational model that establishes the necessary relationship between business strategy and operations strategy. Accordingly, managers are enabled to define strategic business elements in the operations unit and align it with the business strategies.
Design/methodology/approach
Data were collected from 160 companies using a combination of structured interviews and closed questionnaire. In developing the alignment model, descriptive‐survey and correlation methods were used. For selecting the codes and types of alignments, a heuristic data analysis method was developed and applied.
Findings
This paper concludes that alignment is significantly different in successful and unsuccessful companies. Considering their performance, 25 alignment types have been identified out of which seven types have been found appropriate for the case.
Practical implications
The recommended model here is easy to use and helps managers to improve the performance of their companies by aligning their operation strategy with business strategy.
Originality/value
This paper presents a model that includes the content and process of operations strategy, using top‐down and resource‐based approaches. This model associates alignment with organizations performance, a subject that has been considered as one of the major and challenging issues in the strategic management efforts. Overall, a new and innovative model has been proposed here for building a vertical alignment between the strategies of the firm. The proposed alignment comes in two different levels.
Details
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Zafer Adiguzel, Fatma Sonmez Cakir and Ferhat Özbay
The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of…
Abstract
Purpose
The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of organizational flexibility in adapting to new technologies and business models and assess the importance of lean sustainability and value creation for technology-focused companies.
Design/methodology/approach
Technology companies working in technoparks in Istanbul were determined, and a questionnaire was applied to senior employees such as experts, engineers and managers working in these companies. The results were processed with a sample of 456 units. SmartPLS program was used for analysis.
Findings
As a result of the analyzes, it is supported by hypotheses that AI readiness and organizational flexibility have positive effects on lean sustainability and value creation.
Research limitations/implications
When evaluated in terms of the limitations of the research, it would not be correct to evaluate the results of the analysis in general, since the data were collected from technology-focused companies in technoparks in Istanbul.
Practical implications
Examining the variables that make up the research model in technology-oriented companies helps to understand the critical factors for the future success of companies. At the same time, this research is important for companies to make more informed decisions in their strategic planning, technological transformation processes and value creation strategies.
Originality/value
This research topic offers a unique approach in terms of bringing together topics such as AI readiness, organizational flexibility, sustainability and value creation. These issues play an important role in the strategic planning of technology-focused companies, and when considered together, they are important in terms of examining the critical factors that affect the future success of companies.