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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.

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.

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.

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.

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.

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.

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.

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.

The purpose of this paper is to examine the reasons why the concept of a “strategic early warning system” (SEWS) has not been widely introduced and why it fails to be implemented successfully in German corporations. The aim of such systems is to detect changes in an organizational environment ahead of time by scanning the environment for “weak signals”, which come in the form of trends.

The questions that arise, particularly because the concept of SEWS is not entirely new, are: What are the pitfalls in implementing these systems, why do they occur, and how can they be overcome? To answer these questions, a single case study was conducted.

The study suggests that the failure of SEWS is due mainly to a lack of participation of potential future users in the implementation phase, a lack of joint understanding of the nature of trends, differing and unrevealed requirements of trends by various interested parties, a broad misconception of the “weak signals” concept and trends, an excessively heavy reliance on alleged “hard data”, a lack of interaction among users, and finally a “missing link” to the strategic functions in an organization.

The results of the study are limited due to the fact that they are derived from a single case study.

The identification of pitfalls contributes to the research on implementing SEWS and this can also be linked to “strategic issue management” and the foresight process.

This paper aims to demonstrate how hospitality management research could benefit from the propositional style of theorizing, and how this approach could expand the scope of research in the discipline.

Developing new theories could provide unique insights and broaden the scope of research in hospitality management. To illustrate the power of proposition-based theorizing, this methodology is applied to the hotel cancellation policies domain.

Using the proposition-based theorizing in the context of cancellation policies, this study provides several propositions that could have broad implications for future research.

The contribution of this paper is threefold. First, the potential benefit of the proposition-based theorizing in the revenue management context of cancellation policies is demonstrated. Second, the theoretical frameworks and insights from the product return policy literature that could enrich future studies on hotel cancellation policies are introduced. Finally, this study conjectures on these theories’ relevance to hotel cancellation policies and consequently on their potential contribution to the scholarly discourse.

The purpose of this paper is to develop a multi-level hierarchical framework (evaluation index system) toward evaluating an “appraisement index” from the prospectus of measuring and monitoring resilient performance of the candidate industry.

In this reporting, vagueness, imprecision, as well as inconsistency associated with subjective evaluation information (aligned with ill-defined assessment indices of SC resilience performance), has been tackled by the application of fuzzy theory.

Subjective evaluation information (expressed in linguistic term) acquired from the committee of decision makers (called expert group), against different resilience indices/metrics, has been fruitfully explored through the proposed fuzzy-based resilience performance appraisement module. Finally, a case study from an Indian automobile company has been conducted from the perspective of checking effectiveness of the proposed methodology for evaluation of appraisement index indicating SC resilience extent.

This methodology might be successfully applied to help other decision-making problems from the perspective of performance appraisal and benchmarking of candidate alternatives/choices under predefined criteria and subjective evaluation circumstances.

The authors examine the joint effect of the country-wide legal institutions and product market competition on stock crash risk in a large sample of international firms.

In the study, the authors examine whether the country-level institutional factors affect product market competition's impact on stock crash risk. Specifically, the authors characterize country-wide institutional quality with individual governance indices developed in earlier studies and also adopt the worldwide board reforms as a proxy for the change in firms' governance environment.

The authors find that strong institutions mitigate the positive relationship between product market competition and stock crash risk in the international setting. In addition, the authors find that institutional quality moderates the effect of product market competition on stock crash risk via the information channel, i.e. although firms in competitive industries manage and report earnings more aggressively, strong institutions or board reforms, curtail managers' incentive to do so.

The authors’ findings lend support to the dark side of product market competition with a broader sample from 35 countries. In light of this, when earlier studies consider firms from competitive (concentrated) industries as having less (more) severe agency problems, future studies should consider the agency costs associated with product market competition for both the US firms and non-US firms. Furthermore, when it is debatable that regulators are self-interested, captured, uninformed and thus the regulations and institutions may not be fully effective as a result, this study demonstrates the effectiveness of institutions in ex ante mitigating agency conflicts associated with product market competition.

The purpose of this paper is to critique the existing decision-making models of organizational theory and the ability of strategic managers to address unconventional problems using these models. Strategic management models presume reasonable stability in the task environment and the organizational design features. However, complex problems, or wicked problems, are prolific in a global world. They change profoundly the nature of strategic management, where management faces a deep paradox – an environment of unprecedented interdependence, yet unpredictable forces of chaos and volatility, a landscape of wicked problems. In this paper, the authors address wicked problems within the context of strategic management.

The authors review and critique the organizational theory literature, namely, microeconomics, bounded rationality, organizational failure and the theory of creative destruction within the context of wicked problems.

The authors find that the contemporary models of strategic management are incapable of assisting managers in addressing the reality of wicked problems. They argue that organizational pathologies rest in executive action: pursuit of goals and objectives with a false sense of causation, feedback filters that exaggerate good news and restrict bad news and actions that give only token measures to correct faulty design decisions and faulty decision processes, including more emphasis on vertical channels than horizontal task interdependencies.

The authors conclude that wicked problem-solving is by temperament and time horizon, a multilayered, multitasked, organizational challenge, and requires fundamentally different mindsets for design and performance systems for senior executives. The study of wicked problems requires a new corporate mindset, new collaborative models to address them and new corporate processes and executive training tools who increasingly have to address them. This research is a first step toward extending our understanding of how to address the world of wicked problems.

This experiment analyzes multi-offer versions of the signaling and screening litigation games, as well as a bilateral multi-offer litigation game. A plaintiff has either a low or a high claim on an uninformed defendant, and the two negotiate in an attempt to reach a pre-trial settlement. Trial is costly, and settlement generates surplus over which the two parties can bargain. In the signaling game, the defendant has the power to make the offer, while the plaintiff makes the offer in the screening game. Previous experiments on single-offer games find that disputes occur even when offers contain surplus not predicted under the theory, and fairness appears to be important in explaining deviations from theory. This research examines whether renegotiation in the form of successive sequential offers can yield efficiency gains via lower dispute rates. There are four main findings. One, under the one-sided multi-offer structure the excess dispute rate is 23 percentage-points lower in the screening game, and the high-offer dispute rate is 31 percentage-points lower in signaling game. The bilateral game yields an additional 15 percentage-point reduction in the high-offer dispute rate, but excess disputes persist. Two, in these games, proposers take advantage of the multi-offer opportunity and make around three to four offers per negotiation. Three, across games the surplus in a fair offer remains constant at about one-sixth of the surplus, but the empirical benchmark from which this is measured varies according to which player has the power to make the offer. In the one-sided games, the benchmark is the respective zero-surplus endpoint, but in the bilateral game the benchmark is the surplus midpoint. Fourth, dynamic behavior plays an important but complex role in observed outcomes. Multi-offer mechanisms may be alternatives to costly information transmission mechanisms like disclosure or discovery.

This study aims to simulate and test the performance of a transmitting and receiving capacitive micro-machined ultrasonic transducer (CMUT). Aimed at detecting demand of the CMUT, a matched integrated adjustment circuit was designed through analyzing processing methods of transducer’s weak echo signal.

Based on the analysis of CMUT array structure and work principle, the CMUT units are designed and the dynamic performance analysis of SIMULINK is given according to the demand of underwater detecting. A transceiver isolation circuit is used to make transmission mode and receiving mode separate. A detection circuit is designed based on the transimpedance amplifier to achieve extraction of high-frequency and weak signal.

Through experimentation, the effectiveness of the CMUT performance simulation and the transceiver integrated adjustment circuit were verified. In addition, the test showed that CMUT with 400 kHz frequency has wider bandwidth and better dynamic characteristics than other similar transducers.

This paper provides a theoretical basis and design reference for the development and application of CMUT technology.

Purpose – I suggest that we conceptualize labor markets as observable social networks, in which workplaces are the nodes and people moving between workplaces are the edges. The movement of people delivers the actionable information as to what the supply, demand, and going wage for labor might be. Labor market networks are hypothesized to be quite thin thus leading to substantial wage setting autonomy within workplaces, consistent with contemporary observations in both economics and sociology as to the weakness of labor market signals.Method – This paper reviews theoretical and empirical work in economics, sociology, and network science and develops a network image of labor market structure and function. Hypotheses derived from economic, sociological, and network theories are proposed to explain workplace-level wage setting.Findings – Information flow, trust in information, information variance, collusion, and status beliefs are all proposed as important network properties of labor markets. The paper outlines an observational strategy to make labor markets scientifically observable.Originality – Economists and sociologists often refer to labor markets as mechanisms setting the price of labor but rarely observe them. This paper outlines a strategy for making the invisible hand of the market scientifically observable.