Linking business intelligence with the performance of new service products: Insight from a dynamic capabilities perspective

Alsaad, Abdallah; Selem, Kareem M.; Alam, Md. Moddassir; Melhim, Loai Kayed B.

doi:10.1016/j.jik.2022.100262

Cited by 20 publications

(20 citation statements)

References 83 publications

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“…The dynamic capabilities approach is now the dominant framework in strategic management for explaining the reconfiguration of resources and competencies through which organizations can respond to changes in their environment and innovate [44]. The dynamic capabilities consist of three categories, identifying and assessing opportunities (sensing), mobilizing resources to take advantage of the identified opportunity (seizing), and continuously reconfiguring resources (transforming) [45].…”

Section: Business Intelligence Dynamic Capabilities and Sustainable I...mentioning

confidence: 99%

“…Dynamic capabilities enable a company to align its resources and competencies with strategic environmental policies and the general Business Intelligence: An Important Tool to Develop Dynamic Capabilities and Sustainable… DOI: http://dx.doi.org/10.5772/intechopen.110200 business environment. To look at it another way, a company's dynamic capabilities evaluate its capacity and willingness to implement these changes in its competencies and resources in order to participate in the transformation to a more sustainable industry [44,55]. Thus, it highly suggests that dynamic capabilities be evaluated particularly for various tasks because there are numerous multiple kinds of dynamic capabilities for carrying out various tasks, ranging from new product development to post-acquisition incorporation (e.g., see [46]).…”

Section: Business Intelligence Dynamic Capabilities and Sustainable I...mentioning

confidence: 99%

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Business Intelligence: An Important Tool to Develop Dynamic Capabilities and Sustainable Innovation in the Digital Age

Hassani¹,

Halbusi²

2024

Business, Management and Economics

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While the issue of business intelligence is rapidly gaining popularity across a wide range of domains, the majority of research treats it as a single capability or technique, such as big data analytics capability. However, as a tool for Big Data Decision-making or technique for enhancing operational research technique, there is still a low amount of work that examines business intelligence as a tool to develop dynamic capabilities of the organization and to contribute to sustainable innovation, in particular in the digital age. Therefore, to address this gap, this chapter aims to discuss how organizations can use technologies, including business intelligence as a tool for creating new knowledge, which in turn helps organizations to improve their dynamic capabilities and achieve sustainable innovation. Recognizing how these firms’ dynamic capabilities are started building, achieved sustained, enlarged, utilized, evolved, and phased out in phrases of their constituent micro-foundations. So, this study suggests business intelligence as a process that helps organizations collect and transform data into information and knowledge, which contributes to building dynamic capabilities. It is important for managers to understand how these firms’ dynamic capabilities are started building, achieved sustained, enlarged, utilized, evolved, and phased out in phrases of their constituent micro-foundations.

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Section: Business Intelligence Dynamic Capabilities and Sustainable I...mentioning

confidence: 99%

Section: Business Intelligence Dynamic Capabilities and Sustainable I...mentioning

confidence: 99%

Business Intelligence: An Important Tool to Develop Dynamic Capabilities and Sustainable Innovation in the Digital Age

Hassani¹,

Halbusi²

2024

Business, Management and Economics

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“…Scientific and technological innovation, along with the need for a power shift, serves as a long-term driver for the continuous development of the manufacturing industry. In China, with the increasing level of technological innovation, digital technology plays a critical role in manufacturing industry development, generating pressure for high-quality development (Alsaad et al, 2022). Existing research indicates that digital technology effectively addresses resource mismatch (Z.…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

A DPSR and SEM Based Framework to Evaluate High-Quality Development in Chinese Manufacturing Industry

Lyu,

2023

Sage Open

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China’s manufacturing industry has emerged as a major contributor to both the nation’s economic growth and global trade. Achieving high-quality development in this sector is not only crucial for China’s sustainable progress but also holds significant implications for the global economy. Considering the importance of Chinese manufacturing industry, this paper establishes a framework for exploring the mechanism of manufacture industry’s high-quality development in China’s three economic regions based on the Driver-Pressure-State-Response (DPSR) model and Structural Equation Modeling (SEM). SEM is established for analyzing the multiple paths of manufacture industry’s high-quality development in the eastern, middle and western economic region of China. The findings reveal distinct patterns in each region. In the eastern region, a unidirectional path of “Driver-Pressure-State-Response” is confirmed, with a particular emphasis on quality improvement and efficiency increase. The middle region exhibits a leapfrog path characterized by “Driver-Pressure-State” and “Pressure-Response,” where quality improvement and dynamic conversion play critical roles. Conversely, the western region demonstrates an interrupt path of “Pressure-State-Response,” highlighting the significance of structural rationalization and dynamic conversion. Based on these results, sustainable solutions and suggestions for promoting high-quality development in the manufacturing industry are proposed, providing valuable targeted insights for the transformation and advancement of China's manufacturing sector. This study makes a novel contribution by developing a DPSR-SEM model and expands literature and knowledge in high-quality development of manufacturing industry. Practically, this study can guide decision-makers, managers, and stakeholders in understanding the interactions between driving forces, pressures, states, and responses in the context of manufacturing industry.

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“…Similarly, Wang et al [ 27 ] revealed that the capabilities and reflection of Business Intelligence have an influence on performance capabilities. Additionally, Alsaad et al [ 28 ] put forward the suggestion that there are ongoing predictions which state that the utilization of business intelligence (BI) capabilities will lead to improved performance of new service products. Furthermore [ 29 ], made the discovery that the application of business intelligence (BI) is driving the transformation of information engineering to optimize business decisions and operations, resulting in high performance.…”

Section: Introductionmentioning

confidence: 99%

“…An empirical gap is found where not all organizational learning directly affects firm performance [ 25 , 35 ]. Therefore, this gap attracts mediation in the form of innovations produced by companies, and innovation has also proven to play a major role in achieving SMEs performance [ 25 , 26 , 28 , 30 ]. Meanwhile, not only organizational learning predisposes to innovation, but network learning also positively induces innovation [ 31 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

Spurring SMEs’ performance through business intelligence, organizational and network learning, customer value anticipation, and innovation - Empirical evidence of the creative economy sector in East Java, Indonesia

Anjaningrum,

Azizah,

Suryadi

2024

Heliyon

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Linking business intelligence with the performance of new service products: Insight from a dynamic capabilities perspective

Cited by 20 publications

References 83 publications

Business Intelligence: An Important Tool to Develop Dynamic Capabilities and Sustainable Innovation in the Digital Age

Business Intelligence: An Important Tool to Develop Dynamic Capabilities and Sustainable Innovation in the Digital Age

A DPSR and SEM Based Framework to Evaluate High-Quality Development in Chinese Manufacturing Industry

Spurring SMEs’ performance through business intelligence, organizational and network learning, customer value anticipation, and innovation - Empirical evidence of the creative economy sector in East Java, Indonesia

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