Search results

1 – 10 of over 20000
Article
Publication date: 18 September 2023

Dongyuan Zhao, Zhongjun Tang and Fengxia Sun

This paper investigates the semantic association mechanisms of weak demand signals that facilitate innovative product development in terms of conceptual and temporal precedence…

Abstract

Purpose

This paper investigates the semantic association mechanisms of weak demand signals that facilitate innovative product development in terms of conceptual and temporal precedence, despite their inherent ambiguity and uncertainty.

Design/methodology/approach

To address this challenge, a domain ontology approach is proposed to construct a customer demand scenario-based framework that eliminates the blind spots in weak demand signal identification. The framework provides a basis for identifying such signals and introduces evaluation indices, such as depth, novelty and association, which are integrated to propose a three-dimensional weak signal recognition model based on domain ontology that outperforms existing research.

Findings

Empirical analysis is carried out based on customer comments of new energy vehicles on car platform such as “Auto Home” and “Bitauto”. Results demonstrate that in terms of recognition quantity, the three-dimensional weak demand signal recognition model, based on domain ontology, can accurately identify six demand weak signals. Conversely, the keyword analysis method exhibits a recognition quantity of four weak signals; in terms of recognition quality, the three-dimensional weak demand signal recognition model based on domain ontology can exclude non-demand signals such as “charging technology”, while keyword analysis methods cannot. Overall, the model proposed in this paper has higher sensitivity.

Originality/value

This paper proposes a novel method for identifying weak demand signals that considers the frequency of the signal's novelty, depth and relevance to the target demand. To verify its effectiveness, customer review data for new energy vehicles is used. The results provide a theoretical reference for formulating government policies and identifying weak demand signals for businesses.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 13 March 2017

Mohsen Mohammadi, Mohammad Rahim Eivazi and Jafar Sajjadi

The purpose of this paper is threefold: to classify wildcards into three particular types sharing similar characteristics; use the Fuzzy TOPSIS as a new method in foresight to…

Abstract

Purpose

The purpose of this paper is threefold: to classify wildcards into three particular types sharing similar characteristics; use the Fuzzy TOPSIS as a new method in foresight to turn qualitative ideas into quantitative ones; and apply a combination of Fuzzy TOPSIS and a panel of experts to prioritize weak signals.

Design/methodology/approach

In this paper, the authors classify wildcards into three particular types which share similar character: natural wildcards, artificial wildcards (Degree 1) and artificial wildcards (Degree 2). Wildcards point to unexpected and surprising events including important results that can form watershed in the development of a specific trend. In addition, the authors present a Fuzzy TOPSIS model which can be used in various cases to prioritize a number of weak signals and put them in order, so that the most important ones are likely to yield the wildcard in the future

Findings

The authors presented a classification of wildcards with the same characteristics being natural wildcards, artificial wildcards (Degree 1) and artificial wildcards (Degree 2). The authors also prioritized the weak signals to deal with the most important ones and take appropriate action in advance so as to minimize possible damages and maximize the benefits of potential wildcards in an uncertain environment.

Originality/value

In this paper, the authors report on the prioritizing of weak signals by applying Fuzzy TOPSIS and classify wildcards. This is significant because, by identifying the most important weak signals, appropriate actions can be taken in the future if necessary. The paper should be of interest to readers in the area of participatory foresight.

Details

foresight, vol. 19 no. 1
Type: Research Article
ISSN: 1463-6689

Keywords

Article
Publication date: 2 May 2023

Dongyuan Zhao, Zhongjun Tang and Duokui He

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many…

Abstract

Purpose

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.

Design/methodology/approach

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

Findings

The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.

Originality/value

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 28 October 2021

Jan Černý, Martin Potančok and Elias Castro Hernandez

The study aims to expand on the concept of an early warning system (EWS) by introducing weak-signal detection, human-in-the-loop (HIL) verification and response tuning as integral…

Abstract

Purpose

The study aims to expand on the concept of an early warning system (EWS) by introducing weak-signal detection, human-in-the-loop (HIL) verification and response tuning as integral parts of an EWS's design.

Design/methodology/approach

The authors bibliographically highlight the evolution of EWS over the last 30+ years, discuss instances of EWSs in various types of organizations and industries and highlight limitations of current systems.

Findings

Proposed system to be used in the transforming of weak signals to early warnings and associated weak/strong responses.

Originality/value

The authors contribute to existing literature by presenting (1) novel approaches to dealing with some of the well-known issues associated with contemporary EWS and (2) an event-agnostic heuristic for dealing with weak signals.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2020-0513.

Details

Online Information Review, vol. 46 no. 5
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 3 May 2013

Željko Jurić and Harun Šiljak

This paper aims to improve the mathematical justification of certain analog signal theory concepts and offer a rigorous framework for it.

Abstract

Purpose

This paper aims to improve the mathematical justification of certain analog signal theory concepts and offer a rigorous framework for it.

Design/methodology/approach

The framework relies on functional analysis, namely theory of distributions and the concept of weak limit. Its notation is adjusted to resemble the notation usually used in engineering signal theory. It can be used to prove in a rigorous manner already established results in signal theory, but also to establish new ones.

Findings

Examples have shown the lack of rigour caused by using ordinary calculus in proving fundamental signal theoretic results. On that basis, concepts of limit, Fourier transform and derivative are revisited in the spirit of functional analysis. A new useful formula for weak limit computation is proved.

Originality/value

Functional analysis is efficiently used in signal theory in a manner approachable by engineers. An original and efficient formula for weak limit computation is presented and proved.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 32 no. 3
Type: Research Article
ISSN: 0332-1649

Keywords

Article
Publication date: 1 March 2005

Reinhold Decker, Ralf Wagner and Sören W. Scholz

This paper introduces a new approach for autonomous internet‐based environmental scanning, which combines concept of weak signals with “information foraging theory”.

4702

Abstract

Purpose

This paper introduces a new approach for autonomous internet‐based environmental scanning, which combines concept of weak signals with “information foraging theory”.

Design/methodology/approach

Early detection and rapid action with respect to developments in the operating environment is a prerequisite for successful marketing planning. Accordingly, this paper proposes a three‐stage process for overcoming practical obstacles to the detection and use of weak signals from the operating environment, in particular how to identify relevant and useful documents in harsh information environments such as the internet. Its functionality is demonstrated by means of a human‐machine experiment.

Findings

A framework based on information foraging theory is well suited to the task of determining the relevance of documents and facilitates the automation of information search processes. A prototype environmental scanning system of this type outperformed human experts in a typical scanning task.

Research limitations/implications

Embedding the detection of weak signals in a formal process permits intelligence gatherers to step beyond anecdotal evidence, and complements the current literature on weak signal detection with formal and systematic procedural guidelines.

Practical implications

The presented methodology facilitates both the selection and the structuring of information sources. This unburdens the managers and leaves time for important tasks such as the development of concrete marketing plans reacting to detected developments.

Originality/value

The paper provides a comprehensive framework for web‐based weak signal detection in business environments, and can be used as a starting point for the development of practicable environmental scanning systems.

Details

Marketing Intelligence & Planning, vol. 23 no. 2
Type: Research Article
ISSN: 0263-4503

Keywords

Article
Publication date: 19 January 2015

Xingya Wang and Guangchang Pang

This paper aims to provide a detailed review of weak interaction biosensors and several common biosensor methods for magnifying signals, as well as judiciously guide readers…

Abstract

Purpose

This paper aims to provide a detailed review of weak interaction biosensors and several common biosensor methods for magnifying signals, as well as judiciously guide readers through selecting an appropriate detecting system and signal amplification method according to their research and application purpose.

Design/methodology/approach

This paper classifies the weak interactions between biomolecules, summarizes the common signal amplification methods used in biosensor design and compares the performance of different kinds of biosensors. It highlights a potential electrochemical signal amplification method: the G protein signaling cascade amplification system.

Findings

Developed biosensors which, based on various principles, have their own strengths and weaknesses have met the basic detection requirements for weak interaction between biomolecules: the selectivity, sensitivity and detection limit of biosensors have been consistently improving with the use of new signal amplification methods. However, most of the weak interaction biosensors stop at the research stage; there are only a minority realization of final commercial application.

Originality/value

This paper evaluates the status of research and application of weak interaction biosensors systematically. The G protein signaling cascade amplification system proposal offers a new avenue for the research and development of electrochemical biosensors.

Article
Publication date: 30 October 2009

Dipayan (Dip) Biswas, Sujay Dutta and Abhijit (Abe) Biswas

The purpose of this paper is to study the effectiveness of multiple signals. Specifically, the paper investigates how the individual strength of a marketplace signal varies as a…

1585

Abstract

Purpose

The purpose of this paper is to study the effectiveness of multiple signals. Specifically, the paper investigates how the individual strength of a marketplace signal varies as a function of whether consumers are exposed to that signal alone or in combination with another signal.

Design/methodology/approach

The research uses experimental designs to empirically address the research questions. Hypotheses are formulated primarily based on signaling theory and these hypotheses are tested with laboratory experiments using real consumers.

Findings

The key finding is that a signal's stand‐alone credibility largely determines whether its individual strength would be diluted or augmented by the coexistence of another signal. Further, when signals with different stand‐alone strengths coexist, the individual strength of the weaker signal is higher than when that signal is present alone. These effects are observed in brick‐and‐mortar and online shopping media.

Originality/value

Past research reports mixed findings about whether the individual strength of a signal is diluted (dilution effect) or augmented (augmentation effect) by the presence of another signal. This research attempts to resolve this issue, for the first time, by demonstrating that whether dilution effect or augmentation effect occurs depends on the stand‐alone credibility of the individual signals in a mix.

Details

Journal of Product & Brand Management, vol. 18 no. 7
Type: Research Article
ISSN: 1061-0421

Keywords

Article
Publication date: 29 June 2020

Husni Kharouf, Donald J. Lund, Alexandra Krallman and Chris Pullig

Drawing on signaling theory, the purpose of this study is to investigate the effects of the strength and framing of firm signals sent to repair relationships following…

2101

Abstract

Purpose

Drawing on signaling theory, the purpose of this study is to investigate the effects of the strength and framing of firm signals sent to repair relationships following relationship violations.

Design/methodology/approach

Three 2 × 2 scenario-based experiments (total n = 527) manipulate signal strength × violation type (Study 1); signal frame × violation type (Study 2); and signal strength × brand familiarity (Study 3) to examine their dynamic impacts on relationship recovery efforts.

Findings

Stronger signals are more effective at relationship repair and are especially important following integrity (vs competence) violations. Signals framed as customer gains (vs firm costs) lead to more favorable relationship outcomes. Finally, brands that are less (vs more) familiar see greater benefits from strong signals.

Research limitations/implications

The three experiments were scenario-based, which may not replicate real-life behavior or capture participants’ actual emotions following a violation, thus future research should extend into real-world recovery efforts.

Practical implications

Managers should send strong signals (communicating the level of resources invested in the recovery efforts) framed as benefits to the customer, rather than costs to the firm. Strong signals are especially important when brand familiarity is low or an integrity violation has occurred.

Originality/value

This is the first research to directly apply signaling theory to the relationship recovery process and contributes to theory by examining the role of signal strength; framing of the signal as a customer gain vs firm cost; and the interplay of signal strength and brand familiarity on the relationship recovery effort.

Article
Publication date: 22 June 2021

Bingbing Qi and Dunge Liu

The existing dimensionality reduction algorithms suffer serious performance degradation under low signal-to-noise ratio (SNR) owing to the presence of noise. To address these…

Abstract

Purpose

The existing dimensionality reduction algorithms suffer serious performance degradation under low signal-to-noise ratio (SNR) owing to the presence of noise. To address these problems, an enhanced spatial smoothing scheme is proposed that exploits the subarray time-space correlation matrices to reconstruct the data matrix to overcome this weakness. This method uses the strong correlation of signal and the weak correlation of noise in time and space domains, which improves the noise suppression ability.

Design/methodology/approach

In this paper, an enhanced spatial smoothing method is proposed. By using the strong correlation of signal and the weak correlation of noise, the time-space smoothed array covariance matrix based on the subarray time-space correlation matrices is constructed to improve the noise suppression ability. Compared with the existing Toeplitz matrix reconstruction and spatial smoothing methods, the proposed method improves the DOA estimation performance at low SNR.

Findings

Theoretical analysis and simulation results show that compared with the existing dimensionality reduction processing algorithms, the proposed method improves the DOA estimation performance in cases with a low SNR. Furthermore, in cases where the DOAs between the coherent sources are closely spaced and the snapshot number is low, our proposed method significantly improves the performance of the DOA estimation performance.

Originality/value

The proposed method improves the DOA estimation performance at low SNR. In particular, for the cases with a low SNR, the proposed method provides a better RMSE. The convergence of the proposed method is also faster than other methods for the low number of snapshots. Our analysis also confirms that in cases where the DOAs between the coherent sources are closely spaced, the proposed method achieves a much higher angular resolution than that of the other methods.

Details

Engineering Computations, vol. 39 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

1 – 10 of over 20000