The more, the better? The effect of feedback and user's past successes on idea implementation in open innovation communities

Liu, Qian; Yang, Zhengfa; Cai, Xiaofang; Du, Qianzhou; Fan, Weiguo

doi:10.1002/asi.24555

Cited by 12 publications

(9 citation statements)

References 53 publications

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“…As noted by Lerch and Harter ( 2001 ), this is due to the existence of an interdependency between the decisions, which increases the difficulty of the decision making. Furthermore, and as discussed in Liu et al ( 2022 ), the “excess” of group feedback is not a synonym of better decision making at the team level, as the feedback effect will largely depend on its amount, types, and on the level of users' experience of success. In TIDE, group feedback is implemented through the aggregated score.…”

Section: Resultsmentioning

confidence: 99%

Analysis of noise and bias errors in intelligence information systems

Labib

Chakhar

Hope

et al. 2022

Asso for Info Science & Tech

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An intelligence information system (IIS) is a particular kind of information systems (IS) devoted to the analysis of intelligence relevant to national security. Professional and military intelligence analysts play a key role in this, but their judgments can be inconsistent, mainly due to noise and bias. The team‐oriented aspects of the intelligence analysis process complicates the situation further. To enable analysts to achieve better judgments, the authors designed, implemented, and validated an innovative IIS for analyzing UK Military Signals Intelligence (SIGINT) data. The developed tool, the Team Information Decision Engine (TIDE), relies on an innovative preference learning method along with an aggregation procedure that permits combining scores by individual analysts into aggregated scores. This paper reports on a series of validation trials in which the performance of individual and team‐oriented analysts was accessed with respect to their effectiveness and efficiency. Results show that the use of the developed tool enhanced the effectiveness and efficiency of intelligence analysis process at both individual and team levels.

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Section: Resultsmentioning

confidence: 99%

Analysis of noise and bias errors in intelligence information systems

Labib

Chakhar

Hope

et al. 2022

Asso for Info Science & Tech

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“…In the context of electronic commerce, consumer demands and technological changes require online businesses to be at the forefront of technological innovation and to continuously explore new innovation practices that cross their borders [13]. Feedback refers to the comments of other users on previous ideas generated by a particular user in OI; this feedback can serve as structural or procedural knowledge to help users interpret, reformulate, and reframe the problem-related generation processes and the implementation of ideas, such as understanding the constraints or key issues and allowing people to generate a high-quality idea [17]. On an internet-based platform, collaboration with external agencies, such as clients or other companies, is increasing; the greater the connection of an individual, the greater is their participation in innovation [18].…”

Section: E-commercementioning

confidence: 99%

“…Open Innovation Communities (OICs) have become a crucial strategy for companies to bring together and engage geographically dispersed users to share knowledge and submit product-related ideas [17]. As information technology (IT) has spread to all industries, dynamic, open innovation capabilities that enable companies to "sense" and "seize" exit opportunities have become crucial [18], as the flows of information, technologies, and ideas are the basic elements of the innovation process [19].…”

Section: Introductionmentioning

confidence: 99%

Innovative Business Strategies in the Face of COVID-19: An Approach to Open Innovation of SMEs in the Sonora Region of Mexico

Valdez-Juárez

Castillo-Vergara

Ramos-Escobar

2022

Journal of Open Innovation: Technology, Market, and Complexity

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The purpose of this study is to analyze and verify the effects of the business strategy (financial and market) and innovation management exerted on the economic indicators and business performances of SMEs in the south-central region of Sonora in Mexico. The effect of electronic commerce and the home office in the management of innovation and corporate performance is also analyzed. In addition, a multigroup analysis was carried out to check if there are significant differences between family and non-family businesses. The sample analyzed comprises 498 SMEs with between 6 and 250 employees in the commerce sector. To collect the information, a questionnaire was developed and applied to the online SME manager through the LimeSurvey Professional platform. The field work was carried out from February to October 2021. PLS-SEM was used for the data analysis. The results report that the business strategy (financial and market) does not have significant effects on the management of innovation and on the economic indicators of SMEs. On the other hand, innovation management has positive and significant effects on the economic indicators and business performance of SMEs. It is also revealed that economic indicators have a positive and significant effect on business performance. Open innovation strategies such as electronic commerce have positive and significant effects on innovation management and corporate performance. Similarly, the home office has significant effects on innovation management. Finally, unknown SMEs were found to be the best performers in innovation management and business performance. The study contributes to the development of the theory of competitive behavior and the theory of resources and capabilities.

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“…Keberadaan dewan komisaris dan komite audit tidak mampu untuk bertindak sendiri, sehingga membutuhkan kekuatan dari pemilik perusahaan untuk menciptakan sinergi (Q. Liu et al, 2021). Kekuatan pemilik berfungsi sebagai alat strategis yang mampu mengurangi status quo di masa-masa krisis (Chiu et al, 2020).…”

Section: Pendahuluanunclassified

Mekanisme Pemantauan Yang Efektif Dalam Kondisi Financial Distress

Wijaya¹,

Hermanda²

2022

Jur. Eko. Man. Akt Islam

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This study aims to explain how effective the monitoring mechanism works in conditions of financial distress. Two types of monitoring mechanisms were explored in the study namely: corporate governance and ownership monitoring mechanisms. This study uses 294 companies listed on the Indonesia Stock Exchange for 3 years. This study uses binary logistic regression to analyze the empirical data. The results of the data processing show that only the size of the board of commissioners and gender diversification can help companies deal with economic downturns. This study implies that agency theory is superior to resource dependence theory which explains that board size can optimize board performance. Abstrak Studi ini bertujuan untuk menjelaskan seberapa efektif mekanisme pemantauan bekerja dalam kondisi financial distress. Dua jenis mekanisme pemantauan dieksplorasi dalam studi yakni: tata kelola perusahaan dan mekanisme pemantauan kepemilikan. Penelitian ini menggunakan 294 perusahaan yang tercatat di Bursa Efek Indonesia selama 3 tahun. Studi ini menggunakan regresi logistik biner untuk menganalisis data empiris. Hasil olahan data menunjukkan bahwa hanya ukuran dewan komisaris dan diversifikasi gender yang mampu membantu perusahaan menghadapi kemerosotan ekonomi. Penelitian ini mengimplikasikan bahwa teori keagenan lebih unggul dibandingkan teori ketergantungan sumber daya yang menjelaskan bahwa ukuran dewan dapat mengoptimalkan kinerja dewan.

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The more, the better? The effect of feedback and user's past successes on idea implementation in open innovation communities

Cited by 12 publications

References 53 publications

Analysis of noise and bias errors in intelligence information systems

Analysis of noise and bias errors in intelligence information systems

Innovative Business Strategies in the Face of COVID-19: An Approach to Open Innovation of SMEs in the Sonora Region of Mexico

Mekanisme Pemantauan Yang Efektif Dalam Kondisi Financial Distress

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