Success factors for information logistics strategy — An empirical investigation

Dinter, Barbara

doi:10.1016/j.dss.2012.09.001

Cited by 84 publications

(55 citation statements)

References 53 publications

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“…2). [11,36,55,62,77] 2 (2%) [94,137] As noted earlier, the purpose of this study is to suggest an agenda for future BI research based on answers derived from the literature regarding the research question: What do we know, how well do Markus [12] as a chain of necessary conditions from BI investments to BI assets to BI impacts to organizational performance. However, as Fig.…”

Section: What We Knowmentioning

confidence: 99%

“…For example: latency effects due to time needed to adjust application silos, low process integration into integrated BI technology [69]. Dinter [36] found that time since adoption significantly impacts the effective use of BI because of time needed to develop mature BI data quality management. However, Elbashir et al [62] claim that time since adoption does not affect the ability of an organization to convert BI impacts into organizational performance.…”

Section: Latency Effects and Competitive Processmentioning

confidence: 99%

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Getting value from Business Intelligence systems: A review and research agenda

Trieu

2017

Decision Support Systems

218

155

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Much of the research on Business Intelligence (BI) has examined the ability of BI systems to help organizations address challenges and opportunities. However, the literature is fragmented and lacks an overarching framework to integrate findings and systematically guide research. Moreover, researchers and practitioners continue to question the value of BI systems. This study reviews and synthesizes empirical Information System (IS) studies to learn what we know, how well we know, and what we need to know about the processes of organizations obtaining business value from BI systems. The study aims to identify which parts of the BI business value process have been studied and are still most in need of research, and to propose specific research questions for the future. The findings show that organizations appear to obtain value from BI systems according to the process suggested by Soh and Markus (1995), as a chain of necessary conditions from BI investments to BI assets to BI impacts to organizational performance; however, researchers have not sufficiently studied the probabilistic processes that link the necessary conditions together. Moreover, the research has not sufficiently covered all relevant levels of analysis, nor examined how the levels link up. Overall, the paper identified many opportunities for researchers to provide a more complete picture of how organizations can and do obtain value from BI.

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Section: What We Knowmentioning

confidence: 99%

Section: Latency Effects and Competitive Processmentioning

confidence: 99%

Getting value from Business Intelligence systems: A review and research agenda

Trieu

2017

Decision Support Systems

218

155

View full text Add to dashboard Cite

show abstract

“…Effectiveness of information sharing refers to how information brings new value to customers and supply chain actors in terms of services, decision making, visibility and prediction. Here, the key capability is to deliver the right information to the right people at the right time for decision-making purposes [22]. Previous research has highlighted how information integration and service automation serve as important drivers of business value in supply chains [23,24,21]) Additional value drivers include the systemic integration and bundling of information about products and services to create additional value for customers [24].…”

Section: Digital Supply Chainsmentioning

confidence: 99%

Digital Supply Chain Transformation toward Blockchain Integration

Korpela¹,

Hallikas²,

Dahlberg³

2017

Proceedings of the Annual Hawaii International Conference on System Sciences

694

334

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“…Kritik Başarı Faktörleri (KBF) teorisi, Daniel (1961) ve Rockart (1979) tarafından yapılan strateji araştırmaları içerisinde bulunmuştur (Dinter, 2013). Zou vd.…”

Section: 2tersine Lojistik Kritik Başarı Faktörlerinin Belirlenmesiunclassified

Reverse logistics and application of ARAS method

Koc¹,

Uysal²

2017

Pressacademia

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Purpose-In recent years, product recovery, environmental awareness, efficient use of resources and sustainability issues have gained importance. For this reason, the importance attached to reverse logistics activities of information and products towards the starting point of the final user is also increasing. Reverse logistics gives firms a competitive advantage and allows them to create an image of an environmentalist firm. In this context, the critical success factors that influence reverse logistics activities and the evaluation of the performance of this process are extremely important in terms of businesses. In this study, textile, retail and automotive sectors were evaluated according to selected logistic critical success factors selected from the literature. Methodology-In the evaluation process, ARAS (Additive Ratio Assesment) was used as a multi-criteria decision making method. Findings-According to the evaluation results, the automotive sector ranks first in terms of reverse logistics practices, second in the retail sector and third in the textile sector. Conclusion-As a result of the study, the importance given to logistics applications is evaluated in contrast to different sectors.

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Success factors for information logistics strategy — An empirical investigation

Cited by 84 publications

References 53 publications

Getting value from Business Intelligence systems: A review and research agenda

Getting value from Business Intelligence systems: A review and research agenda

Digital Supply Chain Transformation toward Blockchain Integration

Reverse logistics and application of ARAS method

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